From 59213ccee2961fe435a1a43222b35d3dc940b949 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Wed, 24 Dec 2025 14:49:47 +0530 Subject: [PATCH 01/20] feat: add SyGra Studio --- .gitignore | 9 +- Makefile | 51 + pyproject.toml | 11 +- studio/__init__.py | 110 + studio/api.py | 3669 ++++++++++++ studio/config/.gitkeep | 0 studio/config/custom_models.yaml | 8 + studio/converter.py | 423 ++ studio/execution_manager.py | 444 ++ studio/frontend/package-lock.json | 3592 ++++++++++++ studio/frontend/package.json | 37 + studio/frontend/postcss.config.js | 6 + studio/frontend/src/app.d.ts | 13 + studio/frontend/src/app.html | 13 + .../builder/GroupSubgraphModal.svelte | 284 + .../builder/RecipePickerModal.svelte | 183 + .../components/builder/SaveRecipeModal.svelte | 269 + .../builder/SaveWorkflowModal.svelte | 274 + .../components/builder/ToolPickerModal.svelte | 256 + .../builder/UnsavedChangesModal.svelte | 76 + .../components/builder/WorkflowBuilder.svelte | 1465 +++++ .../code/ExecutionOutputPanel.svelte | 530 ++ .../components/code/WorkflowCodePanel.svelte | 1234 ++++ .../lib/components/common/ConfirmModal.svelte | 111 + .../common/ConfirmationModal.svelte | 113 + .../lib/components/common/CustomSelect.svelte | 242 + .../components/common/DataTableViewer.svelte | 354 ++ .../components/data/DataSourcePanel.svelte | 849 +++ .../lib/components/editor/MonacoEditor.svelte | 357 ++ .../execution/ExecutionPanel.svelte | 157 + .../components/execution/ResultsModal.svelte | 280 + .../execution/RunDetailsModal.svelte | 709 +++ .../execution/RunWorkflowModal.svelte | 639 ++ .../components/graph/EdgeDetailsPanel.svelte | 658 +++ .../components/graph/NodeDetailsPanel.svelte | 2554 ++++++++ .../src/lib/components/graph/SygraFlow.svelte | 393 ++ .../components/graph/WorkflowBoundary.svelte | 38 + .../graph/renderers/edges/SygraEdge.svelte | 57 + .../graph/renderers/nodes/AgentNode.svelte | 92 + .../renderers/nodes/ConnectorNode.svelte | 25 + .../graph/renderers/nodes/DataNode.svelte | 175 + .../graph/renderers/nodes/EndNode.svelte | 25 + .../graph/renderers/nodes/LLMNode.svelte | 59 + .../graph/renderers/nodes/LambdaNode.svelte | 25 + .../graph/renderers/nodes/NodeWrapper.svelte | 132 + .../graph/renderers/nodes/OutputNode.svelte | 116 + .../graph/renderers/nodes/StartNode.svelte | 25 + .../graph/renderers/nodes/SubgraphNode.svelte | 316 + .../graph/renderers/nodes/WebAgentNode.svelte | 25 + .../nodes/WeightedSamplerNode.svelte | 75 + .../src/lib/components/home/HomeView.svelte | 384 ++ .../lib/components/library/LibraryView.svelte | 693 +++ .../components/library/RecipeLibrary.svelte | 533 ++ .../library/RecipePreviewModal.svelte | 244 + .../lib/components/library/ToolLibrary.svelte | 497 ++ .../lib/components/models/ModelsView.svelte | 1254 ++++ .../src/lib/components/runs/LogViewer.svelte | 205 + .../lib/components/runs/MiniSparkline.svelte | 65 + .../runs/NodeExecutionTimeline.svelte | 97 + .../src/lib/components/runs/RunCard.svelte | 199 + .../components/runs/RunComparisonView.svelte | 1119 ++++ .../lib/components/runs/RunDetailsView.svelte | 741 +++ .../runs/RunDetailsViewEnhanced.svelte | 697 +++ .../lib/components/runs/RunQuickStats.svelte | 110 + .../lib/components/runs/RunTimelineBar.svelte | 43 + .../runs/RunsAnalyticsDashboard.svelte | 638 ++ .../RunsAnalyticsDashboardEnhanced.svelte | 434 ++ .../lib/components/runs/RunsListView.svelte | 778 +++ .../runs/RunsListViewEnhanced.svelte | 1014 ++++ .../components/settings/SettingsModal.svelte | 547 ++ .../src/lib/components/sidebar/Sidebar.svelte | 305 + .../workflows/WorkflowsListView.svelte | 646 ++ .../frontend/src/lib/stores/models.svelte.ts | 74 + .../frontend/src/lib/stores/recipe.svelte.ts | 270 + .../frontend/src/lib/stores/theme.svelte.ts | 78 + studio/frontend/src/lib/stores/tool.svelte.ts | 258 + .../src/lib/stores/workflow.svelte.ts | 1506 +++++ studio/frontend/src/lib/utils/layoutUtils.ts | 485 ++ studio/frontend/src/routes/+layout.svelte | 97 + studio/frontend/src/routes/+page.svelte | 515 ++ studio/frontend/src/styles/global.css | 146 + studio/frontend/svelte.config.js | 35 + studio/frontend/tailwind.config.js | 49 + studio/frontend/tsconfig.json | 14 + studio/frontend/vite.config.js | 22 + studio/graph_builder.py | 813 +++ studio/models.py | 334 ++ studio/server.py | 256 + studio/ui/index.html | 859 +++ sygra/utils/constants.py | 8 + sygra/utils/utils.py | 26 +- uv.lock | 5190 +++++++++-------- 92 files changed, 41282 insertions(+), 2554 deletions(-) create mode 100644 studio/__init__.py create mode 100644 studio/api.py create mode 100644 studio/config/.gitkeep create mode 100644 studio/config/custom_models.yaml create mode 100644 studio/converter.py create mode 100644 studio/execution_manager.py create mode 100644 studio/frontend/package-lock.json create mode 100644 studio/frontend/package.json create mode 100644 studio/frontend/postcss.config.js create mode 100644 studio/frontend/src/app.d.ts create mode 100644 studio/frontend/src/app.html create mode 100644 studio/frontend/src/lib/components/builder/GroupSubgraphModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/RecipePickerModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/SaveRecipeModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/ToolPickerModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/UnsavedChangesModal.svelte create mode 100644 studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte create mode 100644 studio/frontend/src/lib/components/code/ExecutionOutputPanel.svelte create mode 100644 studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte create mode 100644 studio/frontend/src/lib/components/common/ConfirmModal.svelte create mode 100644 studio/frontend/src/lib/components/common/ConfirmationModal.svelte create mode 100644 studio/frontend/src/lib/components/common/CustomSelect.svelte create mode 100644 studio/frontend/src/lib/components/common/DataTableViewer.svelte create mode 100644 studio/frontend/src/lib/components/data/DataSourcePanel.svelte create mode 100644 studio/frontend/src/lib/components/editor/MonacoEditor.svelte create mode 100644 studio/frontend/src/lib/components/execution/ExecutionPanel.svelte create mode 100644 studio/frontend/src/lib/components/execution/ResultsModal.svelte create mode 100644 studio/frontend/src/lib/components/execution/RunDetailsModal.svelte create mode 100644 studio/frontend/src/lib/components/execution/RunWorkflowModal.svelte create mode 100644 studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte create mode 100644 studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte create mode 100644 studio/frontend/src/lib/components/graph/SygraFlow.svelte create mode 100644 studio/frontend/src/lib/components/graph/WorkflowBoundary.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/edges/SygraEdge.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/AgentNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/ConnectorNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/SubgraphNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/WebAgentNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte create mode 100644 studio/frontend/src/lib/components/home/HomeView.svelte create mode 100644 studio/frontend/src/lib/components/library/LibraryView.svelte create mode 100644 studio/frontend/src/lib/components/library/RecipeLibrary.svelte create mode 100644 studio/frontend/src/lib/components/library/RecipePreviewModal.svelte create mode 100644 studio/frontend/src/lib/components/library/ToolLibrary.svelte create mode 100644 studio/frontend/src/lib/components/models/ModelsView.svelte create mode 100644 studio/frontend/src/lib/components/runs/LogViewer.svelte create mode 100644 studio/frontend/src/lib/components/runs/MiniSparkline.svelte create mode 100644 studio/frontend/src/lib/components/runs/NodeExecutionTimeline.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunCard.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunComparisonView.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunDetailsView.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunQuickStats.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunTimelineBar.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunsAnalyticsDashboard.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunsAnalyticsDashboardEnhanced.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunsListView.svelte create mode 100644 studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte create mode 100644 studio/frontend/src/lib/components/settings/SettingsModal.svelte create mode 100644 studio/frontend/src/lib/components/sidebar/Sidebar.svelte create mode 100644 studio/frontend/src/lib/components/workflows/WorkflowsListView.svelte create mode 100644 studio/frontend/src/lib/stores/models.svelte.ts create mode 100644 studio/frontend/src/lib/stores/recipe.svelte.ts create mode 100644 studio/frontend/src/lib/stores/theme.svelte.ts create mode 100644 studio/frontend/src/lib/stores/tool.svelte.ts create mode 100644 studio/frontend/src/lib/stores/workflow.svelte.ts create mode 100644 studio/frontend/src/lib/utils/layoutUtils.ts create mode 100644 studio/frontend/src/routes/+layout.svelte create mode 100644 studio/frontend/src/routes/+page.svelte create mode 100644 studio/frontend/src/styles/global.css create mode 100644 studio/frontend/svelte.config.js create mode 100644 studio/frontend/tailwind.config.js create mode 100644 studio/frontend/tsconfig.json create mode 100644 studio/frontend/vite.config.js create mode 100644 studio/graph_builder.py create mode 100644 studio/models.py create mode 100644 studio/server.py create mode 100644 studio/ui/index.html diff --git a/.gitignore b/.gitignore index 8281cbca..e5731828 100644 --- a/.gitignore +++ b/.gitignore @@ -9,5 +9,12 @@ logs/* .env *.egg-info/* site/ -build/ dist/ + +# Studio frontend build artifacts +**/node_modules/* +**/.svelte-kit/* +studio/frontend/build/ + +# Studio runtime data +studio/.executions_history.json diff --git a/Makefile b/Makefile index eed212f8..bb2df25f 100644 --- a/Makefile +++ b/Makefile @@ -34,6 +34,57 @@ setup-dev: ## Install development dependencies @echo "Installing SyGra Core, Extra and Development dependencies" $(UV) sync --extra dev --extra ui +######################################################################################################################## +# SYGRA STUDIO +######################################################################################################################## + +# Studio directories +STUDIO_DIR = studio +STUDIO_FRONTEND_DIR = $(STUDIO_DIR)/frontend +STUDIO_BUILD_DIR = $(STUDIO_FRONTEND_DIR)/build + +# Studio configuration (can be overridden: make studio TASKS_DIR=./my/tasks PORT=9000) +TASKS_DIR ?= ./tasks/examples +PORT ?= 8000 + +.PHONY: studio +studio: studio-build ## Launch SyGra Studio (builds frontend if needed, starts server) + @echo "๐Ÿš€ Starting SyGra Studio..." + @echo " Tasks: $(TASKS_DIR)" + @echo " Port: $(PORT)" + $(UV) run $(PYTHON) -m studio.server --svelte --tasks-dir $(TASKS_DIR) --port $(PORT) + +.PHONY: studio-build +studio-build: ## Build the Studio frontend (only if not already built) + @if [ ! -d "$(STUDIO_BUILD_DIR)" ] || [ ! -f "$(STUDIO_BUILD_DIR)/index.html" ]; then \ + echo "๐Ÿ“ฆ Building Studio frontend..."; \ + cd $(STUDIO_FRONTEND_DIR) && npm install && npm run build; \ + else \ + echo "โœ… Studio frontend already built. Use 'make studio-rebuild' to force rebuild."; \ + fi + +.PHONY: studio-rebuild +studio-rebuild: ## Force rebuild the Studio frontend + @echo "๐Ÿ”จ Rebuilding Studio frontend..." + cd $(STUDIO_FRONTEND_DIR) && npm install && npm run build + +.PHONY: studio-dev +studio-dev: ## Launch Studio in development mode (hot-reload for frontend) + @echo "๐Ÿ”ง Starting Studio in development mode..." + @echo " Backend: http://localhost:$(PORT)" + @echo " Frontend: http://localhost:5173 (with hot-reload)" + @echo "" + @echo "Run these commands in separate terminals:" + @echo " Terminal 1: $(UV) run $(PYTHON) -m studio.server --tasks-dir $(TASKS_DIR) --port $(PORT)" + @echo " Terminal 2: cd $(STUDIO_FRONTEND_DIR) && npm run dev" + +.PHONY: studio-clean +studio-clean: ## Clean Studio frontend build artifacts + @echo "๐Ÿงน Cleaning Studio frontend build..." + rm -rf $(STUDIO_BUILD_DIR) + rm -rf $(STUDIO_FRONTEND_DIR)/node_modules + rm -rf $(STUDIO_FRONTEND_DIR)/.svelte-kit + ######################################################################################################################## # TESTING ######################################################################################################################## diff --git a/pyproject.toml b/pyproject.toml index e3bb55ed..25aeefc0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -62,6 +62,9 @@ dependencies = [ "boto3>=1.40.71,<2.0.0", "google-auth>=2.43.0,<3.0.0", "google-cloud-aiplatform>=1.128.0,<2.0.0", + "fastapi (>=0.124.4,<0.125.0)", + "uvicorn (>=0.38.0,<0.39.0)", + "debugpy (>=1.8.19,<2.0.0)", ] [project.optional-dependencies] @@ -96,13 +99,16 @@ Issues = "https://github.com/ServiceNow/SyGra/issues" Discussions = "https://github.com/ServiceNow/SyGra/discussions" [tool.hatch.build.targets.wheel] -packages = ["sygra"] +packages = ["sygra", "studio"] include = [ "sygra/**/*.yaml", "sygra/**/*.yml", "sygra/**/*.jinja2", "sygra/**/*.j2", "sygra/**/*.json", + "studio/**/*.yaml", + "studio/**/*.yml", + "studio/**/*.json", ] # --- Tool configurations --- @@ -157,3 +163,6 @@ exclude = [ module = ["tests.*"] disallow_untyped_defs = false check_untyped_defs = false + +[tool.poetry.group.dev.dependencies] +uvicorn = "^0.38.0" diff --git a/studio/__init__.py b/studio/__init__.py new file mode 100644 index 00000000..1400720c --- /dev/null +++ b/studio/__init__.py @@ -0,0 +1,110 @@ +""" +SyGra Studio Integration + +This module provides seamless integration between SyGra workflows and Studio +UI visualization. It enables: +- Converting SyGra YAML configs to visualization-friendly graph format +- Running SyGra workflows from a web UI +- Real-time workflow execution monitoring + +Usage: + # Start the UI server + from studio import run_server + run_server(tasks_dir="./tasks/examples", port=8000) + + # Or use the CLI + python -m studio.server --tasks-dir ./tasks/examples + + # Build graph from YAML + from studio import build_graph_from_yaml + graph = build_graph_from_yaml("./tasks/examples/glaive_code_assistant/graph_config.yaml") + + # Convert to OpenFlow format + from studio import convert_sygra_to_openflow + openflow = convert_sygra_to_openflow("./tasks/examples/glaive_code_assistant/graph_config.yaml") +""" + +from studio.converter import ( + SygraToStudioConverter, + convert_sygra_to_openflow, +) +from studio.graph_builder import ( + SygraGraphBuilder, + build_graph_from_yaml, + build_graph_from_config, +) +from studio.models import ( + WorkflowNode, + WorkflowEdge, + WorkflowGraph, + WorkflowExecution, + ExecutionStatus, + NodeType, + NodePosition, + NodeSize, + ModelConfig, + PromptMessage, + EdgeCondition, + NodeExecutionState, + WorkflowListItem, + ExecutionRequest, + ExecutionResponse, +) +from studio.execution_manager import ( + ExecutionManager, + ExecutionCallback, + SygraExecutionRunner, + get_execution_manager, +) + +# Server components are lazily imported to avoid circular import warnings +# when running `python -m studio.server` +_SERVER_AVAILABLE = True + +def __getattr__(name): + """Lazy import for server components.""" + if name == "create_server": + from studio.server import create_server + return create_server + elif name == "run_server": + from studio.server import run_server + return run_server + elif name == "create_app": + from studio.api import create_app + return create_app + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") + +__all__ = [ + # Converter + "SygraToStudioConverter", + "convert_sygra_to_openflow", + # Graph Builder + "SygraGraphBuilder", + "build_graph_from_yaml", + "build_graph_from_config", + # Models + "WorkflowNode", + "WorkflowEdge", + "WorkflowGraph", + "WorkflowExecution", + "ExecutionStatus", + "NodeType", + "NodePosition", + "NodeSize", + "ModelConfig", + "PromptMessage", + "EdgeCondition", + "NodeExecutionState", + "WorkflowListItem", + "ExecutionRequest", + "ExecutionResponse", + # Execution + "ExecutionManager", + "ExecutionCallback", + "SygraExecutionRunner", + "get_execution_manager", + # Server + "create_server", + "run_server", + "create_app", +] diff --git a/studio/api.py b/studio/api.py new file mode 100644 index 00000000..e03283b5 --- /dev/null +++ b/studio/api.py @@ -0,0 +1,3669 @@ +""" +FastAPI Backend for SyGra Studio Integration. + +Provides REST API endpoints for: +- Listing available SyGra workflows +- Getting workflow graph details for visualization +- Executing workflows +- Monitoring execution progress +- Code execution and debugging +""" + +import asyncio +import os +import sys +import uuid +import subprocess +import threading +import queue +import signal +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional + +from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import JSONResponse +from pydantic import BaseModel + +import yaml +import json as json_module +import traceback +import httpx + +from studio.graph_builder import SygraGraphBuilder +from studio.converter import SygraToStudioConverter +from studio.models import ( + ExecutionRequest, + ExecutionResponse, + ExecutionStatus, + NodeExecutionState, + WorkflowCreateRequest, + WorkflowExecution, + WorkflowGraph, + WorkflowListItem, + WorkflowSaveResponse, +) + + +# Store for active executions +_executions: Dict[str, WorkflowExecution] = {} + +# Store for discovered workflows +_workflows: Dict[str, WorkflowGraph] = {} + +# Store for cancelled execution IDs (for signaling background tasks to stop) +_cancelled_executions: set = set() + +# Store for running processes (for actual process termination) +import multiprocessing +import json as json_module +import asyncio as asyncio_module +_running_processes: Dict[str, multiprocessing.Process] = {} + +# Job queue for sequential execution +_execution_queue: asyncio_module.Queue = None +_queue_processor_task = None +_current_running_execution: str = None + +# Persistence file for executions +_EXECUTIONS_FILE = Path(__file__).parent / ".executions_history.json" + +# Code execution stores +_code_executions: Dict[str, Dict] = {} # Active code execution sessions +_debug_sessions: Dict[str, Dict] = {} # Active debug sessions +_websocket_connections: Dict[str, WebSocket] = {} # WebSocket connections for streaming output + +# Environment variables store (loaded from .env + runtime modifications) +_env_vars: Dict[str, str] = {} +_ENV_FILE = Path(__file__).parent / ".env" # Local env file for UI-managed vars + +# ==================== Models API (Module Level) ==================== +# Models config file paths +_BUILTIN_MODELS_CONFIG_PATH = Path(__file__).parent.parent / "sygra" / "config" / "models.yaml" +_CUSTOM_MODELS_CONFIG_PATH = Path(__file__).parent / "config" / "custom_models.yaml" + +# Legacy path for backwards compatibility +_MODELS_CONFIG_PATH = _BUILTIN_MODELS_CONFIG_PATH + +# Cache for model status (lightweight - just connectivity info) +_models_status: Dict[str, Dict[str, Any]] = {} + +# Supported model types with their configurations +_MODEL_TYPES = { + "azure_openai": { + "label": "Azure OpenAI", + "description": "Azure-hosted OpenAI models (GPT-4, GPT-4o, etc.)", + "env_vars": ["URL", "TOKEN"], + }, + "openai": { + "label": "OpenAI", + "description": "OpenAI API models", + "env_vars": ["URL", "TOKEN"], + }, + "vllm": { + "label": "vLLM", + "description": "Self-hosted vLLM inference server", + "env_vars": ["URL", "TOKEN"], + }, + "ollama": { + "label": "Ollama", + "description": "Local Ollama models", + "env_vars": ["URL"], + }, + "tgi": { + "label": "TGI (Text Generation Inference)", + "description": "Hugging Face Text Generation Inference", + "env_vars": ["URL", "TOKEN"], + }, + "mistralai": { + "label": "Mistral AI", + "description": "Mistral AI API", + "env_vars": ["URL", "TOKEN"], + }, + "vertex_ai": { + "label": "Google Vertex AI", + "description": "Google Cloud Vertex AI models (Gemini)", + "env_vars": ["VERTEX_PROJECT", "VERTEX_LOCATION", "VERTEX_CREDENTIALS"], + }, + "bedrock": { + "label": "AWS Bedrock", + "description": "AWS Bedrock models (Claude, Titan, etc.)", + "env_vars": ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY", "AWS_REGION_NAME"], + }, + "triton": { + "label": "Triton Inference Server", + "description": "NVIDIA Triton Inference Server", + "env_vars": ["URL", "TOKEN"], + } +} + + +def _load_builtin_models_config() -> Dict[str, Any]: + """Load builtin/core models from SyGra's models.yaml (read-only).""" + if not _BUILTIN_MODELS_CONFIG_PATH.exists(): + return {} + try: + with open(_BUILTIN_MODELS_CONFIG_PATH, 'r') as f: + return yaml.safe_load(f) or {} + except Exception: + return {} + + +def _load_custom_models_config() -> Dict[str, Any]: + """Load custom user-defined models from studio config.""" + if not _CUSTOM_MODELS_CONFIG_PATH.exists(): + return {} + try: + with open(_CUSTOM_MODELS_CONFIG_PATH, 'r') as f: + return yaml.safe_load(f) or {} + except Exception: + return {} + + +def _save_custom_models_config(config: Dict[str, Any]) -> None: + """Save custom models to studio config file.""" + _CUSTOM_MODELS_CONFIG_PATH.parent.mkdir(parents=True, exist_ok=True) + with open(_CUSTOM_MODELS_CONFIG_PATH, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + +def _load_models_config_sync() -> Dict[str, Any]: + """Load all models configuration (builtin + custom), synchronous, fast.""" + # Load builtin models (read-only, from SyGra core) + builtin = _load_builtin_models_config() + # Load custom models (user-defined, editable) + custom = _load_custom_models_config() + # Merge: custom models can override builtin (but shouldn't in practice) + # We keep them separate in the returned dict via metadata + merged = {} + merged.update(builtin) + merged.update(custom) + return merged + + +def _get_builtin_model_names() -> set: + """Get the set of builtin model names.""" + return set(_load_builtin_models_config().keys()) + + +def _get_model_env_value(model_name: str, env_suffix: str) -> tuple: + """Get env var value trying multiple prefix formats. Returns (value, key_used).""" + prefixes = [ + f"SYGRA_{model_name.upper()}", # SYGRA_GPT-4O (keep hyphens) + f"SYGRA_{model_name.upper().replace('-', '_').replace('.', '_')}", # SYGRA_GPT_4O + ] + for prefix in prefixes: + env_key = f"{prefix}_{env_suffix}" + value = os.environ.get(env_key, _env_vars.get(env_key, "")) + if value: + return value, env_key + return "", f"{prefixes[0]}_{env_suffix}" + + +def _get_model_credentials_fast(model_name: str, model_config: Dict[str, Any]) -> Dict[str, Any]: + """Get credentials for a model - fast, no heavy operations.""" + model_type = model_config.get("model_type", "") + type_info = _MODEL_TYPES.get(model_type, {"env_vars": ["URL", "TOKEN"]}) + + creds = {} + for env_var in type_info.get("env_vars", ["URL", "TOKEN"]): + value, key = _get_model_env_value(model_name, env_var) + creds[env_var.lower()] = value + creds[f"{env_var.lower()}_env_key"] = key + creds[f"{env_var.lower()}_configured"] = bool(value) + + return creds + + +async def _ping_model_http(model_name: str, model_config: Dict[str, Any]) -> Dict[str, Any]: + """Lightweight HTTP ping - just checks endpoint reachability.""" + model_type = model_config.get("model_type", "") + url, _ = _get_model_env_value(model_name, "URL") + + if not url: + return { + "status": "unconfigured", + "status_code": None, + "latency_ms": None, + "last_checked": datetime.now().isoformat(), + "error": "URL not configured" + } + + # Health check endpoints by model type + health_endpoints = {"vllm": "/health", "tgi": "/health", "ollama": "/api/tags", "triton": "/v2/health/ready"} + + if model_type in ["azure_openai", "openai", "mistralai"]: + check_url = url.rstrip("/") + if "/openai/deployments/" in check_url: + check_url = check_url.split("/openai/deployments/")[0] + elif model_type in health_endpoints: + base_url = url.rstrip("/").rsplit("/v1", 1)[0] if "/v1" in url else url.rstrip("/") + check_url = f"{base_url}{health_endpoints[model_type]}" + else: + check_url = url.rstrip("/") + + try: + start = datetime.now() + async with httpx.AsyncClient(timeout=8.0, verify=False) as client: + resp = await client.get(check_url) + latency = (datetime.now() - start).total_seconds() * 1000 + # 401/403/404/405 means server is up (just needs auth or wrong path) + is_up = resp.status_code in [200, 401, 403, 404, 405] + return { + "status": "online" if is_up else "error", + "status_code": resp.status_code, + "latency_ms": round(latency, 2), + "last_checked": datetime.now().isoformat(), + "error": None if is_up else f"HTTP {resp.status_code}" + } + except httpx.TimeoutException: + return {"status": "timeout", "status_code": 408, "latency_ms": None, "last_checked": datetime.now().isoformat(), "error": "Timeout"} + except httpx.ConnectError: + return {"status": "offline", "status_code": None, "latency_ms": None, "last_checked": datetime.now().isoformat(), "error": "Connection refused"} + except Exception as e: + return {"status": "error", "status_code": 500, "latency_ms": None, "last_checked": datetime.now().isoformat(), "error": str(e)[:50]} + + +def _load_env_vars(): + """Load environment variables from .env files.""" + global _env_vars + + # Load from project .env files (studio/api.py -> studio/ -> project_root/) + project_root = Path(__file__).parent.parent + env_files = [ + project_root / ".env", # Project root .env (e.g., /path/to/GraSP/.env) + Path.cwd() / ".env", # Current working directory .env + Path.home() / ".env", # User home .env + _ENV_FILE, # Local UI-managed env file + ] + + for env_file in env_files: + if env_file.exists(): + try: + with open(env_file, 'r') as f: + for line in f: + line = line.strip() + if line and not line.startswith('#') and '=' in line: + key, _, value = line.partition('=') + key = key.strip() + value = value.strip().strip('"').strip("'") + if key: + _env_vars[key] = value + except Exception as e: + print(f"Warning: Failed to load {env_file}: {e}") + + +def _save_env_vars(): + """Save UI-managed environment variables to local file.""" + try: + with open(_ENV_FILE, 'w') as f: + f.write("# SyGra Studio managed environment variables\n") + f.write(f"# Last updated: {datetime.now().isoformat()}\n\n") + for key, value in sorted(_env_vars.items()): + # Escape values with special characters + if ' ' in value or '"' in value or "'" in value: + value = f'"{value}"' + f.write(f"{key}={value}\n") + except Exception as e: + print(f"Warning: Failed to save env vars: {e}") + + +class CodeExecutionRequest(BaseModel): + """Request model for code execution.""" + file_path: str # Path to the Python file to execute + function_name: Optional[str] = None # Specific function to run + args: Optional[List[str]] = None # Command line arguments + workflow_id: Optional[str] = None # Associated workflow + debug: bool = False # Whether to run in debug mode + breakpoints: Optional[List[int]] = None # Line numbers for breakpoints + + +class DebugAction(BaseModel): + """Request model for debug actions.""" + action: str # 'continue', 'step_over', 'step_into', 'step_out', 'stop' + session_id: str + + +def _save_executions(): + """Save executions to persistent storage.""" + try: + # Only save completed/failed/cancelled executions (not running ones) + to_save = { + k: v.model_dump(mode='json') + for k, v in _executions.items() + if v.status in ('completed', 'failed', 'cancelled') + } + with open(_EXECUTIONS_FILE, 'w') as f: + json_module.dump(to_save, f, default=str) + except Exception as e: + print(f"Warning: Failed to save executions: {e}") + + +_executions_loaded = False + +def _load_executions(): + """Load executions from persistent storage.""" + global _executions, _executions_loaded + + # Prevent duplicate loading + if _executions_loaded: + return + _executions_loaded = True + + if _EXECUTIONS_FILE.exists(): + try: + with open(_EXECUTIONS_FILE, 'r') as f: + data = json_module.load(f) + for exec_id, exec_data in data.items(): + try: + # Convert node_states dict values to NodeExecutionState objects + if 'node_states' in exec_data and exec_data['node_states']: + exec_data['node_states'] = { + k: NodeExecutionState(**v) if isinstance(v, dict) else v + for k, v in exec_data['node_states'].items() + } + # Reconstruct WorkflowExecution objects + _executions[exec_id] = WorkflowExecution(**exec_data) + except Exception as item_err: + pass # Silently skip invalid executions + except Exception: + pass # Silently handle load failures + + +async def _process_execution_queue(): + """Process executions from the queue one at a time.""" + global _current_running_execution, _execution_queue + + while True: + try: + # Wait for next job in queue + job = await _execution_queue.get() + execution_id, workflow, request = job + + # Skip if already cancelled while waiting in queue + if execution_id in _cancelled_executions: + execution = _executions.get(execution_id) + if execution and execution.status == ExecutionStatus.PENDING: + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + _save_executions() + _cancelled_executions.discard(execution_id) + _execution_queue.task_done() + continue + + # Set current running execution + _current_running_execution = execution_id + + try: + # Run the workflow + await _run_workflow(execution_id, workflow, request) + finally: + _current_running_execution = None + _execution_queue.task_done() + + except Exception as e: + print(f"Error processing execution queue: {e}") + import traceback + traceback.print_exc() + + +def _ensure_queue_initialized(): + """Ensure the execution queue and processor are initialized.""" + global _execution_queue, _queue_processor_task + + if _execution_queue is None: + _execution_queue = asyncio_module.Queue() + + # Start queue processor if not running + if _queue_processor_task is None or _queue_processor_task.done(): + try: + loop = asyncio_module.get_running_loop() + _queue_processor_task = loop.create_task(_process_execution_queue()) + except RuntimeError: + # No running loop yet, will be started when first execution is queued + pass + + +def create_app( + tasks_dir: Optional[str] = None, + cors_origins: Optional[List[str]] = None, +) -> FastAPI: + """ + Create and configure the FastAPI application. + + Args: + tasks_dir: Directory containing SyGra task workflows. + cors_origins: List of allowed CORS origins. + + Returns: + Configured FastAPI application. + """ + app = FastAPI( + title="SyGra Workflow API", + description="API for visualizing and executing SyGra workflows", + version="1.0.0", + ) + + # Configure CORS + if cors_origins is None: + cors_origins = ["http://localhost:3000", "http://localhost:5173", "http://localhost:8080"] + + app.add_middleware( + CORSMiddleware, + allow_origins=cors_origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Set tasks directory + if tasks_dir is None: + tasks_dir = os.environ.get( + "SYGRA_TASKS_DIR", + str(Path(__file__).parent.parent.parent.parent / "tasks" / "examples") + ) + + app.state.tasks_dir = tasks_dir + + # Load persisted executions on startup + _load_executions() + + # Load environment variables from .env files + _load_env_vars() + + app.state.graph_builder = SygraGraphBuilder() + app.state.converter = SygraToStudioConverter() + + # Register routes + _register_routes(app) + + return app + + +def _register_routes(app: FastAPI) -> None: + """Register all API routes.""" + + @app.get("/api/health") + async def health_check(): + """Health check endpoint.""" + return {"status": "ok", "service": "SyGra Workflow API"} + + @app.get("/api/config") + async def get_config(): + """Get server configuration including tasks directory.""" + tasks_path = Path(app.state.tasks_dir) + tasks_dir = str(tasks_path.resolve()) if tasks_path.exists() else str(tasks_path) + + # Get list of subdirectories for directory picker + subdirs = [] + if tasks_path.exists(): + subdirs = [str(tasks_path / d.name) for d in tasks_path.iterdir() if d.is_dir()] + + return { + "tasks_dir": tasks_dir, + "subdirectories": sorted(subdirs), + "version": "1.0.0" + } + + # ==================== Environment Variables API ==================== + + @app.get("/api/settings/env") + async def get_env_vars(): + """Get all environment variables.""" + # Return vars with masked sensitive values + SENSITIVE_PATTERNS = ['key', 'secret', 'token', 'password', 'api_key', 'apikey', 'auth', 'credential'] + + result = [] + for key, value in sorted(_env_vars.items()): + is_sensitive = any(pattern in key.lower() for pattern in SENSITIVE_PATTERNS) + result.append({ + "key": key, + "value": value, + "masked_value": "*" * min(len(value), 20) if is_sensitive else value, + "is_sensitive": is_sensitive + }) + + return { + "variables": result, + "count": len(result), + "env_file": str(_ENV_FILE) + } + + @app.post("/api/settings/env") + async def set_env_var(data: dict): + """Add or update an environment variable.""" + key = data.get("key", "").strip() + value = data.get("value", "") + + if not key: + raise HTTPException(status_code=400, detail="Key is required") + + # Validate key format (alphanumeric + underscore) + if not key.replace("_", "").isalnum(): + raise HTTPException(status_code=400, detail="Key must be alphanumeric with underscores only") + + _env_vars[key] = value + _save_env_vars() + + # Also set in os.environ for immediate use + os.environ[key] = value + + return {"success": True, "key": key, "message": f"Variable '{key}' saved"} + + @app.delete("/api/settings/env/{key}") + async def delete_env_var(key: str): + """Delete an environment variable.""" + if key not in _env_vars: + raise HTTPException(status_code=404, detail=f"Variable '{key}' not found") + + del _env_vars[key] + _save_env_vars() + + # Also remove from os.environ + if key in os.environ: + del os.environ[key] + + return {"success": True, "key": key, "message": f"Variable '{key}' deleted"} + + @app.post("/api/settings/env/reload") + async def reload_env_vars(): + """Reload environment variables from .env files.""" + global _env_vars + _env_vars = {} + _load_env_vars() + + # Update os.environ with loaded vars + for key, value in _env_vars.items(): + os.environ[key] = value + + return {"success": True, "count": len(_env_vars), "message": "Environment variables reloaded"} + + # ==================== Models API (using module-level functions) ==================== + + @app.get("/api/models/types") + async def get_model_types(): + """Get all supported model types.""" + return {"types": _MODEL_TYPES, "count": len(_MODEL_TYPES)} + + @app.get("/api/models") + async def list_models(): + """List all configured models (fast, no pinging).""" + config = _load_models_config_sync() + builtin_names = _get_builtin_model_names() + models = [] + + for name, model_config in config.items(): + model_type = model_config.get("model_type", "unknown") + creds = _get_model_credentials_fast(name, model_config) + status_info = _models_status.get(name, {"status": "unknown", "last_checked": None}) + + type_info = _MODEL_TYPES.get(model_type, {"env_vars": ["URL", "TOKEN"]}) + all_creds_configured = all( + creds.get(f"{ev.lower()}_configured", False) + for ev in type_info.get("env_vars", []) + ) + + models.append({ + "name": name, + "model_type": model_type, + "model_type_label": type_info.get("label", model_type), + "model": model_config.get("model", name), + "description": type_info.get("description", ""), + "parameters": model_config.get("parameters", {}), + "api_version": model_config.get("api_version"), + "credentials": creds, + "credentials_configured": all_creds_configured, + "status": status_info.get("status", "unknown"), + "status_code": status_info.get("status_code"), + "latency_ms": status_info.get("latency_ms"), + "last_checked": status_info.get("last_checked"), + "error": status_info.get("error"), + "is_builtin": name in builtin_names, # Flag for SyGra core models (read-only) + }) + + return {"models": models, "count": len(models), "config_path": str(_MODELS_CONFIG_PATH)} + + @app.get("/api/models/{model_name}") + async def get_model(model_name: str): + """Get a specific model's configuration.""" + config = _load_models_config_sync() + if model_name not in config: + raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found") + + model_config = config[model_name] + model_type = model_config.get("model_type", "unknown") + + return { + "name": model_name, + "model_type": model_type, + "model_type_info": _MODEL_TYPES.get(model_type, {}), + "config": model_config, + "credentials": _get_model_credentials_fast(model_name, model_config), + "status": _models_status.get(model_name, {"status": "unknown"}), + } + + @app.post("/api/models/{model_name}/ping") + async def ping_model(model_name: str): + """Ping a single model (lightweight HTTP check).""" + config = _load_models_config_sync() + if model_name not in config: + raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found") + + result = await _ping_model_http(model_name, config[model_name]) + _models_status[model_name] = result + return {"model": model_name, **result} + + @app.post("/api/models/ping-all") + async def ping_all_models(): + """Ping all models in parallel (lightweight HTTP checks).""" + config = _load_models_config_sync() + if not config: + return {"results": {}, "total": 0, "online": 0, "offline": 0} + + # Run all pings concurrently + tasks = [_ping_model_http(name, cfg) for name, cfg in config.items()] + names = list(config.keys()) + + try: + results_list = await asyncio.wait_for(asyncio.gather(*tasks, return_exceptions=True), timeout=20) + except asyncio.TimeoutError: + results_list = [{"status": "timeout", "error": "Overall timeout"} for _ in names] + + results = {} + for name, res in zip(names, results_list): + if isinstance(res, Exception): + res = {"status": "error", "error": str(res)[:50]} + results[name] = res + _models_status[name] = res + + online = sum(1 for r in results.values() if r.get("status") == "online") + return {"results": results, "total": len(results), "online": online, "offline": len(results) - online} + + @app.post("/api/models") + async def create_or_update_model(data: dict): + """Create or update a model configuration (custom models only).""" + name = data.get("name", "").strip() + model_type = data.get("model_type", "").strip() + + if not name: + raise HTTPException(status_code=400, detail="Model name is required") + if not model_type or model_type not in _MODEL_TYPES: + raise HTTPException(status_code=400, detail=f"Invalid model type: {model_type}") + + # Check if trying to edit a builtin model + builtin_names = _get_builtin_model_names() + if name in builtin_names: + raise HTTPException( + status_code=403, + detail=f"Cannot modify builtin SyGra model '{name}'. Create a custom model with a different name instead." + ) + + # Load custom models config (not builtin) + custom_config = _load_custom_models_config() + is_new = name not in custom_config and name not in _load_models_config_sync() + + model_config = {"model_type": model_type} + if data.get("model"): model_config["model"] = data["model"] + if data.get("api_version"): model_config["api_version"] = data["api_version"] + if data.get("parameters"): model_config["parameters"] = data["parameters"] + + # Add additional optional fields + for field in ["hf_chat_template_model_id", "model_serving_name", "post_process", "input_type", "output_type"]: + if data.get(field): model_config[field] = data[field] + + custom_config[name] = model_config + + # Save to custom models config (NOT the builtin SyGra models.yaml) + try: + _save_custom_models_config(custom_config) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save: {e}") + + # Save credentials if provided + credentials = data.get("credentials", {}) + if credentials: + prefix = f"SYGRA_{name.upper()}" + for key, value in credentials.items(): + if value: + env_key = f"{prefix}_{key.upper()}" + _env_vars[env_key] = value + os.environ[env_key] = value + + return {"success": True, "model": name, "is_new": is_new, "is_builtin": False} + + @app.delete("/api/models/{model_name}") + async def delete_model(model_name: str): + """Delete a model configuration (custom models only).""" + # Check if it's a builtin model + builtin_names = _get_builtin_model_names() + if model_name in builtin_names: + raise HTTPException( + status_code=403, + detail=f"Cannot delete builtin SyGra model '{model_name}'. Only custom models can be deleted." + ) + + # Check if model exists in custom config + custom_config = _load_custom_models_config() + if model_name not in custom_config: + raise HTTPException(status_code=404, detail=f"Custom model '{model_name}' not found") + + del custom_config[model_name] + + try: + _save_custom_models_config(custom_config) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save: {e}") + + _models_status.pop(model_name, None) + return {"success": True, "model": model_name} + + # ================================================================== + + @app.get("/api/workflows", response_model=List[WorkflowListItem]) + async def list_workflows(): + """ + List all available SyGra workflows. + + Scans the tasks directory for graph_config.yaml files. + """ + workflows = [] + tasks_dir = Path(app.state.tasks_dir) + + if not tasks_dir.exists(): + return workflows + + for task_dir in tasks_dir.iterdir(): + if not task_dir.is_dir(): + continue + + config_path = task_dir / "graph_config.yaml" + if not config_path.exists(): + continue + + try: + graph = app.state.graph_builder.build_from_yaml(str(config_path)) + _workflows[graph.id] = graph + + workflows.append(WorkflowListItem( + id=graph.id, + name=graph.name, + description=graph.description, + source_path=str(config_path), + node_count=len(graph.nodes), + edge_count=len(graph.edges), + last_modified=graph.last_modified, + )) + except Exception as e: + # Skip invalid workflows + print(f"Error loading workflow from {config_path}: {e}") + continue + + return workflows + + @app.get("/api/workflows/{workflow_id}", response_model=WorkflowGraph) + async def get_workflow(workflow_id: str): + """ + Get detailed workflow graph for visualization. + + Args: + workflow_id: The workflow ID to retrieve. + """ + # Check cache first + if workflow_id in _workflows: + return _workflows[workflow_id] + + # Try to find by scanning + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + return _workflows[workflow_id] + + @app.get("/api/workflows/{workflow_id}/openflow") + async def get_workflow_openflow(workflow_id: str): + """ + Get workflow in Studio OpenFlow format. + + Args: + workflow_id: The workflow ID to convert. + """ + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + openflow = app.state.converter.convert_workflow(workflow) + + return openflow + + @app.get("/api/workflows/{workflow_id}/sample-data") + async def get_workflow_sample_data(workflow_id: str, limit: int = 3): + """ + Get sample data records from the workflow's data source. + + Args: + workflow_id: The workflow ID. + limit: Maximum number of records to return (default: 3). + + Returns: + Sample data records and metadata. + """ + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + data_config = workflow.data_config + + if not data_config or not data_config.get("source"): + return { + "records": [], + "total": 0, + "message": "No data source configured for this workflow" + } + + source = data_config.get("source", {}) + # Handle array or single source + if isinstance(source, list): + source = source[0] if source else {} + + source_type = (source.get("type") or "").lower() + + try: + records = [] + total_count = None + + if source_type in ("disk", "local_file", "local", "json", "jsonl", "csv"): + # Local file source + file_path = source.get("file_path") or source.get("path") + file_format = source.get("file_format") or source.get("format") or "json" + + if file_path and os.path.exists(file_path): + import json as json_lib + if file_format in ("json",): + with open(file_path, 'r') as f: + data = json_lib.load(f) + if isinstance(data, list): + total_count = len(data) + records = data[:limit] + else: + records = [data] + total_count = 1 + elif file_format in ("jsonl",): + with open(file_path, 'r') as f: + lines = f.readlines() + total_count = len(lines) + for line in lines[:limit]: + if line.strip(): + records.append(json_lib.loads(line)) + elif file_format in ("csv",): + import csv + with open(file_path, 'r') as f: + reader = csv.DictReader(f) + all_rows = list(reader) + total_count = len(all_rows) + records = all_rows[:limit] + else: + return { + "records": [], + "total": 0, + "message": f"File not found: {file_path}" + } + + elif source_type in ("hf", "huggingface"): + # HuggingFace source - use HF Hub API directly (much faster than datasets library) + repo_id = source.get("repo_id") + config_name = source.get("config_name") or "default" + split = source.get("split", "train") + + if not repo_id: + return { + "records": [], + "total": 0, + "message": "No repo_id specified for HuggingFace dataset" + } + + try: + import httpx + # Use HuggingFace datasets-server API for fast row access + url = f"https://datasets-server.huggingface.co/first-rows?dataset={repo_id}&config={config_name}&split={split}" + + async with httpx.AsyncClient(timeout=15.0) as client: + response = await client.get(url) + + if response.status_code == 200: + data = response.json() + rows = data.get("rows", []) + records = [row.get("row", row) for row in rows[:limit]] + total_count = data.get("num_rows_total", "unknown") + else: + # Fallback: return info without records + return { + "records": [], + "total": "unknown", + "source_type": "huggingface", + "message": f"Could not fetch preview (API returned {response.status_code}). View dataset at HuggingFace.", + "dataset_info": {"repo_id": repo_id, "config_name": config_name, "split": split} + } + except Exception as hf_err: + return { + "records": [], + "total": 0, + "source_type": "huggingface", + "message": f"Failed to fetch preview: {str(hf_err)[:150]}", + "dataset_info": {"repo_id": repo_id, "config_name": config_name, "split": split} + } + + elif source_type in ("servicenow", "snow"): + # ServiceNow - would need actual connection + return { + "records": [], + "total": 0, + "message": "ServiceNow preview requires authentication. Configure SNOW credentials to preview data." + } + else: + return { + "records": [], + "total": 0, + "message": f"Preview not supported for source type: {source_type}" + } + + return { + "records": records, + "total": total_count, + "source_type": source_type, + "message": None + } + + except Exception as e: + return { + "records": [], + "total": 0, + "message": f"Error loading sample data: {str(e)}" + } + + @app.post("/api/workflows/{workflow_id}/execute", response_model=ExecutionResponse) + async def execute_workflow( + workflow_id: str, + request: ExecutionRequest, + ): + """ + Start workflow execution. + + Jobs are queued and executed one at a time in order. + + Args: + workflow_id: The workflow ID to execute. + request: Execution request with input data. + """ + global _execution_queue, _queue_processor_task + + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + # Normalize input_data - if it's a list, use first element for single run + input_data = request.input_data + if isinstance(input_data, list): + input_data = input_data[0] if input_data else {} + + # Create execution record + execution_id = str(uuid.uuid4()) + execution = WorkflowExecution( + id=execution_id, + workflow_id=workflow_id, + workflow_name=workflow.name, + status=ExecutionStatus.PENDING, + input_data=input_data, + started_at=datetime.now(), + ) + + # Initialize node states + for node in workflow.nodes: + execution.node_states[node.id] = NodeExecutionState( + node_id=node.id, + status=ExecutionStatus.PENDING, + ) + + _executions[execution_id] = execution + + # Initialize queue if needed + if _execution_queue is None: + _execution_queue = asyncio_module.Queue() + + # Start queue processor if not running + if _queue_processor_task is None or _queue_processor_task.done(): + _queue_processor_task = asyncio_module.create_task(_process_execution_queue()) + + # Add to execution queue + await _execution_queue.put((execution_id, workflow, request)) + + # Determine position in queue + queue_position = _execution_queue.qsize() + is_running = _current_running_execution is not None + + if is_running: + message = f"Workflow execution queued: {execution_id} (position {queue_position} in queue)" + else: + message = f"Workflow execution started: {execution_id}" + + return ExecutionResponse( + execution_id=execution_id, + status=ExecutionStatus.PENDING, + message=message, + ) + + @app.get("/api/executions/queue/status") + async def get_queue_status(): + """ + Get the current execution queue status. + + Returns: + Queue status including running execution and queue size. + """ + return { + "current_running": _current_running_execution, + "queue_size": _execution_queue.qsize() if _execution_queue else 0, + "is_processing": _queue_processor_task is not None and not _queue_processor_task.done() + } + + @app.get("/api/executions/{execution_id}", response_model=WorkflowExecution) + async def get_execution(execution_id: str): + """ + Get execution status and details. + + Args: + execution_id: The execution ID to retrieve. + """ + if execution_id not in _executions: + raise HTTPException(status_code=404, detail=f"Execution {execution_id} not found") + + return _executions[execution_id] + + @app.post("/api/executions/{execution_id}/cancel") + async def cancel_execution(execution_id: str): + """ + Cancel a running execution. + + Args: + execution_id: The execution ID to cancel. + """ + if execution_id not in _executions: + raise HTTPException(status_code=404, detail=f"Execution {execution_id} not found") + + execution = _executions[execution_id] + + if execution.status not in (ExecutionStatus.PENDING, ExecutionStatus.RUNNING): + raise HTTPException( + status_code=400, + detail=f"Cannot cancel execution in {execution.status} state" + ) + + # Signal the background task to stop + _cancelled_executions.add(execution_id) + + # Actually terminate the running process if it exists + if execution_id in _running_processes: + process = _running_processes[execution_id] + if process.is_alive(): + process.terminate() + process.join(timeout=5) # Wait up to 5 seconds for graceful termination + if process.is_alive(): + process.kill() # Force kill if still running + del _running_processes[execution_id] + + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + + # Save to persistence immediately + _save_executions() + + return {"status": "cancelled", "execution_id": execution_id} + + @app.get("/api/executions", response_model=List[WorkflowExecution]) + async def list_executions( + workflow_id: Optional[str] = None, + status: Optional[ExecutionStatus] = None, + limit: int = 50, + ): + """ + List workflow executions with optional filtering. + + Args: + workflow_id: Filter by workflow ID. + status: Filter by execution status. + limit: Maximum number of results. + """ + executions = list(_executions.values()) + + if workflow_id: + executions = [e for e in executions if e.workflow_id == workflow_id] + + if status: + executions = [e for e in executions if e.status == status] + + # Sort by start time, newest first + executions.sort(key=lambda e: e.started_at or datetime.min, reverse=True) + + return executions[:limit] + + @app.get("/api/tasks") + async def list_task_directories(): + """List available task directories for workflow discovery.""" + tasks_dir = Path(app.state.tasks_dir) + + if not tasks_dir.exists(): + return [] + + tasks = [] + for task_dir in tasks_dir.iterdir(): + if not task_dir.is_dir(): + continue + + config_path = task_dir / "graph_config.yaml" + has_config = config_path.exists() + + tasks.append({ + "name": task_dir.name, + "path": str(task_dir), + "has_workflow": has_config, + }) + + return tasks + + # NOTE: The /api/models endpoint is defined earlier in the file (around line 589) + # with full status checking and is_builtin flag support. Do not duplicate here. + + def _extract_class_or_function(content: str, name: str) -> Optional[str]: + """ + Extract a specific class or function definition from Python source code. + + Args: + content: Full Python file content + name: Name of the class or function to extract + + Returns: + The extracted code block or None if not found + """ + import ast + + try: + tree = ast.parse(content) + except SyntaxError: + return None + + lines = content.splitlines(keepends=True) + + for node in ast.walk(tree): + if isinstance(node, (ast.ClassDef, ast.FunctionDef, ast.AsyncFunctionDef)): + if node.name == name: + # Get the start line (1-indexed in AST) + start_line = node.lineno - 1 + + # Find the end line by looking at the last line of the node + end_line = node.end_lineno if hasattr(node, 'end_lineno') and node.end_lineno else start_line + 1 + + # Extract the code block + extracted_lines = lines[start_line:end_line] + + # Also extract any decorators above the class/function + decorator_lines = [] + for decorator in getattr(node, 'decorator_list', []): + dec_start = decorator.lineno - 1 + dec_end = decorator.end_lineno if hasattr(decorator, 'end_lineno') else dec_start + 1 + # Only include if it's above the function/class definition + if dec_start < start_line: + decorator_lines.extend(lines[dec_start:dec_end]) + + # Combine decorators and the main code + result = ''.join(decorator_lines + extracted_lines) + return result.rstrip() + '\n' + + return None + + @app.get("/api/file-content") + async def get_file_content(file_path: str, workflow_id: Optional[str] = None, extract_only: bool = True): + """ + Get the content of a Python file referenced by a node. + + Args: + file_path: Module path (e.g., 'tasks.examples.image_to_qna.task_executor.QuestionExtractProcessor') + or relative/absolute file path + workflow_id: Optional workflow ID to resolve relative paths + extract_only: If True, extract only the specific class/function. If False, return full file. + """ + try: + # If it looks like a module path (contains dots but no slashes) + if '.' in file_path and '/' not in file_path and '\\' not in file_path: + parts = file_path.split('.') + class_or_func_name = parts[-1] if len(parts) >= 2 else None + + # Get workflow directory if available + workflow_dir = None + if workflow_id and workflow_id in _workflows: + workflow = _workflows[workflow_id] + workflow_dir = Path(workflow.source_path).parent + + possible_paths = [] + + # Strategy 1: Check if it's a simple local module (e.g., 'task_executor.ClassName') + if len(parts) == 2: + module_name = parts[0] + if workflow_dir: + possible_paths.extend([ + workflow_dir / f"{module_name}.py", + workflow_dir / "functions" / f"{module_name}.py", + workflow_dir / "processors" / f"{module_name}.py", + ]) + + # Strategy 2: Full module path (e.g., 'tasks.examples.image_to_qna.task_executor.ClassName') + # The last part is likely the class name, second-to-last is the module file + if len(parts) >= 3: + # Try treating last part as class name + module_parts = parts[:-1] # Everything except the class name + module_file = '/'.join(module_parts) + '.py' + + # Try relative to tasks_dir root + tasks_root = Path(app.state.tasks_dir).parent # Go up from tasks_dir + possible_paths.append(tasks_root / module_file) + + # Try relative to current working directory + possible_paths.append(Path(module_file)) + + # Try relative to workflow directory + if workflow_dir: + possible_paths.append(workflow_dir / module_file) + # Also try just the last module file name in workflow dir + possible_paths.append(workflow_dir / f"{module_parts[-1]}.py") + + # Strategy 3: Check workflow directory for common names like task_executor.py + if workflow_dir: + possible_paths.extend([ + workflow_dir / "task_executor.py", + workflow_dir / "processors.py", + workflow_dir / "functions.py", + ]) + + # Try all possible paths + for possible_path in possible_paths: + if possible_path.exists(): + with open(possible_path, 'r') as f: + full_content = f.read() + + # Try to extract just the specific class or function + extracted_content = None + if extract_only and class_or_func_name: + extracted_content = _extract_class_or_function(full_content, class_or_func_name) + + return { + "content": extracted_content if extracted_content else full_content, + "full_content": full_content, + "path": str(possible_path.resolve()), + "module_path": file_path, + "class_name": class_or_func_name, + "extracted": extracted_content is not None + } + + return { + "error": f"Could not find module file for {file_path}. Tried: {[str(p) for p in possible_paths[:5]]}", + "content": None + } + else: + # It's a file path + full_path = Path(file_path) + + # If relative, try to resolve against workflow directory + if not full_path.is_absolute() and workflow_id and workflow_id in _workflows: + workflow = _workflows[workflow_id] + workflow_dir = Path(workflow.source_path).parent + full_path = workflow_dir / file_path + + if full_path.exists(): + with open(full_path, 'r') as f: + content = f.read() + return {"content": content, "path": str(full_path)} + else: + return {"error": f"File not found: {full_path}", "content": None} + + except Exception as e: + return {"error": str(e), "content": None} + + @app.get("/api/workflows/{workflow_id}/yaml") + async def get_workflow_yaml(workflow_id: str): + """ + Get the raw YAML content for a workflow. + + Returns the full graph_config.yaml file content. + """ + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail="Workflow not found") + + workflow = _workflows[workflow_id] + yaml_path = Path(workflow.source_path) + + if not yaml_path.exists(): + return {"error": "YAML file not found", "content": None, "path": None} + + try: + with open(yaml_path, 'r') as f: + content = f.read() + return { + "content": content, + "path": str(yaml_path.resolve()), + "filename": yaml_path.name + } + except Exception as e: + return {"error": str(e), "content": None, "path": None} + + @app.get("/api/workflows/{workflow_id}/code") + async def get_workflow_code(workflow_id: str): + """ + Get the task_executor.py content for a workflow. + + Looks for task_executor.py in the workflow's directory. + Also returns a list of all Python files in the directory. + """ + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail="Workflow not found") + + workflow = _workflows[workflow_id] + workflow_dir = Path(workflow.source_path).parent + + # Look for common Python files + python_files = [] + code_files = {} + + common_names = ['task_executor.py', 'processors.py', 'functions.py', 'utils.py'] + + # First add common named files if they exist + for name in common_names: + py_path = workflow_dir / name + if py_path.exists(): + try: + with open(py_path, 'r') as f: + content = f.read() + code_files[name] = { + "content": content, + "path": str(py_path.resolve()), + "filename": name + } + python_files.append(name) + except Exception: + pass + + # Then add any other .py files + for py_path in workflow_dir.glob('*.py'): + if py_path.name not in python_files and not py_path.name.startswith('__'): + try: + with open(py_path, 'r') as f: + content = f.read() + code_files[py_path.name] = { + "content": content, + "path": str(py_path.resolve()), + "filename": py_path.name + } + python_files.append(py_path.name) + except Exception: + pass + + # Return primary task_executor.py content plus list of all files + primary_file = code_files.get('task_executor.py') + + return { + "primary": primary_file, + "files": code_files, + "file_list": python_files, + "workflow_dir": str(workflow_dir.resolve()) + } + + @app.put("/api/workflows/{workflow_id}/yaml") + async def save_workflow_yaml(workflow_id: str, data: Dict[str, Any]): + """ + Save edited YAML content to the workflow's graph_config.yaml file. + + Body: { "content": "yaml content string" } + """ + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + config_path = Path(workflow.source_path) + + if not config_path.exists(): + raise HTTPException(status_code=404, detail="Workflow config file not found") + + content = data.get("content", "") + if not content: + raise HTTPException(status_code=400, detail="Content is required") + + try: + # Validate YAML syntax + import yaml + yaml.safe_load(content) + + # Write to file + with open(config_path, 'w') as f: + f.write(content) + + return {"status": "saved", "path": str(config_path)} + except yaml.YAMLError as e: + raise HTTPException(status_code=400, detail=f"Invalid YAML: {str(e)}") + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save: {str(e)}") + + @app.put("/api/workflows/{workflow_id}/code/{filename}") + async def save_workflow_code(workflow_id: str, filename: str, data: Dict[str, Any]): + """ + Save edited Python code to a file in the workflow directory. + + Body: { "content": "python code string" } + """ + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + workflow_dir = Path(workflow.source_path).parent + + # Security: only allow .py files in the workflow directory + if not filename.endswith('.py'): + raise HTTPException(status_code=400, detail="Only Python files can be saved") + + # Prevent path traversal + safe_filename = Path(filename).name + file_path = workflow_dir / safe_filename + + content = data.get("content", "") + if not content: + raise HTTPException(status_code=400, detail="Content is required") + + try: + # Basic Python syntax check + compile(content, safe_filename, 'exec') + + # Write to file + with open(file_path, 'w') as f: + f.write(content) + + return {"status": "saved", "path": str(file_path)} + except SyntaxError as e: + raise HTTPException(status_code=400, detail=f"Python syntax error: {str(e)}") + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to save: {str(e)}") + + @app.post("/api/workflows", response_model=WorkflowSaveResponse) + async def create_workflow(request: WorkflowCreateRequest): + """ + Create a new workflow in the tasks directory. + + Creates: + - A new directory with the workflow name (sanitized) + - graph_config.yaml with the workflow configuration + - task_executor.py with any custom processors + """ + return await _save_workflow_to_disk(app, request, is_new=True) + + @app.put("/api/workflows/{workflow_id}", response_model=WorkflowSaveResponse) + async def update_workflow(workflow_id: str, request: WorkflowCreateRequest): + """ + Update an existing workflow. + + Updates: + - graph_config.yaml with the workflow configuration + - task_executor.py with any custom processors + """ + request.id = workflow_id + return await _save_workflow_to_disk(app, request, is_new=False) + + @app.delete("/api/workflows/{workflow_id}") + async def delete_workflow(workflow_id: str): + """ + Delete a workflow. + + If the workflow has a source_path (file-based), deletes the entire workflow directory. + Also removes the workflow from the cache. + """ + import shutil + + # Check if workflow exists + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow '{workflow_id}' not found") + + workflow = _workflows[workflow_id] + + # If workflow has a source path, delete the directory + if workflow.source_path: + workflow_dir = Path(workflow.source_path).parent + if workflow_dir.exists(): + try: + shutil.rmtree(workflow_dir) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete workflow directory: {str(e)}") + + # Remove from cache + del _workflows[workflow_id] + + return {"success": True, "message": f"Workflow '{workflow_id}' deleted successfully"} + + @app.patch("/api/workflows/{workflow_id}/rename") + async def rename_workflow(workflow_id: str, data: Dict[str, Any]): + """ + Rename a workflow. + + Updates the name in the graph_config.yaml file. + """ + import yaml + + new_name = data.get("name", "").strip() + if not new_name: + raise HTTPException(status_code=400, detail="Name is required") + + # Check if workflow exists + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow '{workflow_id}' not found") + + workflow = _workflows[workflow_id] + + # Update the YAML file if it exists + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + config['name'] = new_name + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to update workflow file: {str(e)}") + + # Update in cache + workflow.name = new_name + + return {"success": True, "name": new_name, "message": f"Workflow renamed to '{new_name}'"} + + @app.put("/api/workflows/{workflow_id}/nodes/{node_id}") + async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]): + """ + Update a node's configuration in the workflow. + + Args: + workflow_id: The workflow ID. + node_id: The node ID to update. + node_data: The updated node data. + """ + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + # Find the node + node = next((n for n in workflow.nodes if n.id == node_id), None) + if not node: + raise HTTPException(status_code=404, detail=f"Node {node_id} not found in workflow") + + # Update node fields + if "summary" in node_data: + node.summary = node_data["summary"] + if "description" in node_data: + node.description = node_data["description"] + if "prompt" in node_data: + node.prompt = node_data["prompt"] + if "model" in node_data: + if node.model: + node.model.name = node_data["model"].get("name", node.model.name) + node.model.parameters = node_data["model"].get("parameters", node.model.parameters) + else: + from studio.models import ModelConfig + node.model = ModelConfig(**node_data["model"]) + if "pre_process" in node_data: + node.pre_process = node_data["pre_process"] + if "post_process" in node_data: + node.post_process = node_data["post_process"] + if "function_path" in node_data: + node.function_path = node_data["function_path"] + if "metadata" in node_data: + node.metadata.update(node_data["metadata"]) + + return {"status": "updated", "node_id": node_id} + + # ==================== Code Execution & Debug Endpoints ==================== + + @app.post("/api/code/execute") + async def execute_code(request: CodeExecutionRequest): + """ + Execute a Python file or function. + + Returns an execution ID for tracking. Use the WebSocket endpoint + /ws/code/{execution_id} to stream output in real-time. + """ + execution_id = str(uuid.uuid4())[:8] + + # Resolve file path + file_path = Path(request.file_path) + if not file_path.is_absolute(): + # Try to resolve relative to workflow directory + if request.workflow_id and request.workflow_id in _workflows: + workflow = _workflows[request.workflow_id] + workflow_dir = Path(workflow.source_path).parent + file_path = workflow_dir / request.file_path + else: + file_path = Path(app.state.tasks_dir) / request.file_path + + if not file_path.exists(): + raise HTTPException(status_code=404, detail=f"File not found: {file_path}") + + # Prepare execution + _code_executions[execution_id] = { + "id": execution_id, + "file_path": str(file_path), + "function_name": request.function_name, + "args": request.args or [], + "workflow_id": request.workflow_id, + "debug": request.debug, + "breakpoints": request.breakpoints or [], + "status": "pending", + "output": [], + "error": None, + "started_at": None, + "completed_at": None, + "process": None, + "debug_port": None + } + + # Start execution in background + asyncio.create_task(_run_code_execution(execution_id, file_path, request)) + + return { + "execution_id": execution_id, + "status": "started", + "websocket_url": f"/ws/code/{execution_id}" + } + + @app.get("/api/code/executions/{execution_id}") + async def get_code_execution(execution_id: str): + """Get the status and output of a code execution.""" + if execution_id not in _code_executions: + raise HTTPException(status_code=404, detail="Execution not found") + + execution = _code_executions[execution_id] + return { + "id": execution["id"], + "status": execution["status"], + "output": execution["output"], + "error": execution["error"], + "debug": execution["debug"], + "debug_port": execution.get("debug_port"), + "started_at": execution["started_at"], + "completed_at": execution["completed_at"] + } + + @app.post("/api/code/executions/{execution_id}/stop") + async def stop_code_execution(execution_id: str): + """Stop a running code execution.""" + if execution_id not in _code_executions: + raise HTTPException(status_code=404, detail="Execution not found") + + execution = _code_executions[execution_id] + if execution["status"] != "running": + return {"status": execution["status"], "message": "Execution not running"} + + # Kill the process + if execution.get("process"): + try: + execution["process"].terminate() + execution["process"].wait(timeout=5) + except Exception: + execution["process"].kill() + + execution["status"] = "cancelled" + execution["completed_at"] = datetime.now().isoformat() + + return {"status": "cancelled"} + + @app.post("/api/debug/action") + async def debug_action(action: DebugAction): + """ + Send a debug action to a running debug session. + + Actions: continue, step_over, step_into, step_out, stop + """ + if action.session_id not in _code_executions: + raise HTTPException(status_code=404, detail="Debug session not found") + + execution = _code_executions[action.session_id] + if not execution.get("debug"): + raise HTTPException(status_code=400, detail="Not a debug session") + + # Handle stop action + if action.action == "stop": + if execution.get("process"): + execution["process"].terminate() + execution["status"] = "cancelled" + return {"status": "stopped"} + + # Get the DAP send function stored during connection + dap_send = execution.get("dap_send_command") + if not dap_send: + raise HTTPException(status_code=400, detail="Debug session not ready - DAP not connected") + + # Map actions to DAP commands + command_map = { + "continue": "continue", + "step_over": "next", + "step_into": "stepIn", + "step_out": "stepOut", + "pause": "pause" + } + + dap_command = command_map.get(action.action) + if not dap_command: + raise HTTPException(status_code=400, detail=f"Unknown debug action: {action.action}") + + try: + # Send the DAP command (fire and forget - response comes via event listener) + thread_id = execution.get("thread_id", 1) + await dap_send(dap_command, {"threadId": thread_id}) + + await _send_to_websocket(action.session_id, { + "type": "debug", + "content": f"[DEBUG] Sent {action.action} command" + }) + + return {"status": "sent", "action": action.action} + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Debug action failed: {str(e)}") + + class VariablesRequest(BaseModel): + session_id: str + variables_reference: int + + @app.post("/api/debug/variables") + async def get_debug_variables(request: VariablesRequest): + """Fetch child variables for a given variablesReference.""" + execution = _code_executions.get(request.session_id) + if not execution: + raise HTTPException(status_code=404, detail="Execution not found") + + fetch_vars = execution.get("dap_fetch_variables") + if not fetch_vars: + raise HTTPException(status_code=400, detail="Debug session not ready") + + try: + variables = await fetch_vars(request.variables_reference) + return {"variables": variables} + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to fetch variables: {str(e)}") + + @app.websocket("/ws/code/{execution_id}") + async def websocket_code_output(websocket: WebSocket, execution_id: str): + """ + WebSocket endpoint for streaming code execution output. + + Sends JSON messages with: + - type: 'stdout' | 'stderr' | 'status' | 'debug' + - content: The actual content + - timestamp: ISO timestamp + """ + await websocket.accept() + _websocket_connections[execution_id] = websocket + + try: + if execution_id not in _code_executions: + await websocket.send_json({"type": "error", "content": "Execution not found"}) + await websocket.close() + return + + execution = _code_executions[execution_id] + + # Send any existing output + for line in execution["output"]: + await websocket.send_json(line) + + # Keep connection alive until execution completes + while execution["status"] in ("pending", "running"): + try: + # Check for incoming messages (like breakpoint updates) + try: + data = await asyncio.wait_for(websocket.receive_json(), timeout=0.5) + # Handle incoming debug commands + if data.get("type") == "breakpoint": + execution["breakpoints"] = data.get("lines", []) + except asyncio.TimeoutError: + pass + + # Send heartbeat + await websocket.send_json({"type": "heartbeat", "status": execution["status"]}) + await asyncio.sleep(0.5) + except WebSocketDisconnect: + break + + # Send final status + await websocket.send_json({ + "type": "status", + "status": execution["status"], + "error": execution.get("error") + }) + + except WebSocketDisconnect: + pass + finally: + _websocket_connections.pop(execution_id, None) + + +def _get_task_name_from_path(workflow_dir: Path) -> str: + """ + Extract SyGra task name from workflow directory path. + + Examples: + /path/to/tasks/examples/image_to_qna -> examples.image_to_qna + /path/to/tasks/my_task -> my_task + """ + # Find the 'tasks' directory in the path + parts = workflow_dir.parts + task_parts = [] + found_tasks = False + + for part in parts: + if found_tasks: + task_parts.append(part) + elif part == "tasks": + found_tasks = True + + if task_parts: + return ".".join(task_parts) + else: + # Fallback: use just the directory name + return workflow_dir.name + + +async def _run_code_execution(execution_id: str, file_path: Path, request: CodeExecutionRequest): + """Background task to run Python code and stream output.""" + execution = _code_executions[execution_id] + + # Wait a moment for WebSocket to connect + for _ in range(20): # Wait up to 2 seconds + if execution_id in _websocket_connections: + break + await asyncio.sleep(0.1) + + execution["status"] = "running" + execution["started_at"] = datetime.now().isoformat() + + try: + # Prepare the command + python_executable = sys.executable + + # Store original file path for debug display + original_file_path = file_path + + if request.debug and request.breakpoints: + # Run with debugpy for debugging using DAP protocol + debug_port = 5678 + hash(execution_id) % 1000 # Generate unique port + execution["debug_port"] = debug_port + execution["debug"] = True + execution["breakpoints"] = request.breakpoints + execution["target_file"] = str(file_path) # Store for display + + # Create a wrapper script that sets up debugpy and runs the target + # Uses wait_for_client() which waits for FULL DAP handshake including configurationDone + import textwrap + + # Check if this is a SyGra workflow - if so, run via main.py + workflow_dir = file_path.parent + graph_config = workflow_dir / "graph_config.yaml" + project_root = Path(__file__).parent.parent.parent.parent + main_py = project_root / "main.py" + + if graph_config.exists() and main_py.exists(): + # SyGra workflow - run main.py with task argument (same as normal execution) + task_name = _get_task_name_from_path(workflow_dir) + run_target = str(main_py) + run_args = ["--task", task_name, "--num_records", "2", "--batch_size", "1", "--debug", "True"] + else: + # Regular Python file - run directly + run_target = str(file_path) + run_args = request.args or [] + + wrapper_code = textwrap.dedent(f''' +import sys +import os + +# Set up paths +project_root = r"{str(project_root)}" +sys.path.insert(0, project_root) +os.chdir(project_root) + +import debugpy + +# Configure debugpy to listen - this starts the DAP server +debugpy.listen(("127.0.0.1", {debug_port})) + +# Signal that we're ready +print("[DEBUGPY_READY]", flush=True) + +# Wait for debugger to FULLY attach (including configurationDone) +# This ensures breakpoints are set before code runs +try: + debugpy.wait_for_client() + print("[DEBUG] Debugger attached, starting execution...", flush=True) +except Exception as e: + print(f"[DEBUG] Wait for client failed: {{e}}", flush=True) + sys.exit(1) + +# Run the target script using runpy for proper module execution +import runpy +run_target = r"{run_target}" +sys.argv = [run_target] + {run_args} +runpy.run_path(run_target, run_name="__main__") + ''').strip() + + cmd = [python_executable, "-c", wrapper_code] + + # Notify client about debug port + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Starting debug session on port {debug_port}...", + "debug_port": debug_port + }) + + # Start DAP client connection in background + asyncio.create_task(_connect_dap_client(execution_id, debug_port, str(file_path), request.breakpoints)) + else: + # Normal execution + if request.function_name: + # Run specific function + cmd = [ + python_executable, "-c", + f"import sys; sys.path.insert(0, '{file_path.parent}'); " + f"from {file_path.stem} import {request.function_name}; " + f"{request.function_name}()" + ] + else: + # Check if this is a SyGra workflow (has graph_config.yaml in same directory) + workflow_dir = file_path.parent + graph_config = workflow_dir / "graph_config.yaml" + + if graph_config.exists(): + # This is a SyGra workflow - run via main.py + # Determine task name from directory path + # e.g., /path/to/tasks/examples/image_to_qna -> examples.image_to_qna + task_name = _get_task_name_from_path(workflow_dir) + + # Find main.py in project root + project_root = Path(__file__).parent.parent # studio -> project root + main_py = project_root / "main.py" + + if main_py.exists(): + # Default args for quick test execution + default_args = [ + "--task", task_name, + "--num_records", "2", + "--batch_size", "1", + "--debug", "True" + ] + # Allow user to override with custom args + user_args = request.args or [] + cmd = [python_executable, str(main_py)] + default_args + user_args + # Set working directory to project root for main.py + file_path = main_py + else: + # Fallback: run the file directly + cmd = [python_executable, str(file_path)] + (request.args or []) + else: + # Not a SyGra workflow - run the file directly + cmd = [python_executable, str(file_path)] + (request.args or []) + + # Log the command being executed (simplified for debug mode) + if execution.get("debug"): + display_cmd = f"[DEBUG MODE] {python_executable} {execution.get('target_file', original_file_path)}" + # For SyGra workflows, use project root as working dir (same as Run mode) + workflow_dir = original_file_path.parent + graph_config = workflow_dir / "graph_config.yaml" + if graph_config.exists(): + # This is a SyGra workflow - run from project root + project_root = Path(__file__).parent.parent.parent.parent + working_dir = project_root + else: + working_dir = original_file_path.parent + else: + display_cmd = ' '.join(cmd) + working_dir = file_path.parent + + start_msg = { + "type": "stdout", + "content": f"$ {display_cmd}", + "timestamp": datetime.now().isoformat() + } + execution["output"].append(start_msg) + await _send_to_websocket(execution_id, start_msg) + + cwd_msg = { + "type": "stdout", + "content": f"Working directory: {working_dir}", + "timestamp": datetime.now().isoformat() + } + execution["output"].append(cwd_msg) + await _send_to_websocket(execution_id, cwd_msg) + + separator_msg = { + "type": "stdout", + "content": "โ”€" * 50, + "timestamp": datetime.now().isoformat() + } + execution["output"].append(separator_msg) + await _send_to_websocket(execution_id, separator_msg) + + # Start the process + process = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + cwd=str(working_dir), + text=True, + bufsize=1, + env={**os.environ, "PYTHONUNBUFFERED": "1"} + ) + execution["process"] = process + + # Stream output using threads + output_queue = queue.Queue() + + def read_stream(stream, stream_type): + for line in iter(stream.readline, ''): + if line: + output_queue.put((stream_type, line.rstrip('\n'))) + stream.close() + + stdout_thread = threading.Thread(target=read_stream, args=(process.stdout, "stdout")) + stderr_thread = threading.Thread(target=read_stream, args=(process.stderr, "stderr")) + stdout_thread.daemon = True + stderr_thread.daemon = True + stdout_thread.start() + stderr_thread.start() + + # Process output + while process.poll() is None or not output_queue.empty(): + try: + stream_type, line = output_queue.get(timeout=0.1) + output_entry = { + "type": stream_type, + "content": line, + "timestamp": datetime.now().isoformat() + } + execution["output"].append(output_entry) + await _send_to_websocket(execution_id, output_entry) + except queue.Empty: + await asyncio.sleep(0.05) + + stdout_thread.join(timeout=1) + stderr_thread.join(timeout=1) + + # Set final status + return_code = process.returncode + + # Send completion separator and status + end_separator = { + "type": "stdout", + "content": "โ”€" * 50, + "timestamp": datetime.now().isoformat() + } + execution["output"].append(end_separator) + await _send_to_websocket(execution_id, end_separator) + + if return_code == 0: + execution["status"] = "completed" + exit_msg = { + "type": "stdout", + "content": f"โœ“ Process completed successfully (exit code: {return_code})", + "timestamp": datetime.now().isoformat() + } + else: + execution["status"] = "failed" + execution["error"] = f"Process exited with code {return_code}" + exit_msg = { + "type": "stderr", + "content": f"โœ— Process failed (exit code: {return_code})", + "timestamp": datetime.now().isoformat() + } + + execution["output"].append(exit_msg) + await _send_to_websocket(execution_id, exit_msg) + + except Exception as e: + execution["status"] = "failed" + execution["error"] = str(e) + error_msg = { + "type": "stderr", + "content": f"Execution error: {str(e)}", + "timestamp": datetime.now().isoformat() + } + execution["output"].append(error_msg) + await _send_to_websocket(execution_id, error_msg) + finally: + execution["completed_at"] = datetime.now().isoformat() + execution["process"] = None + + +async def _send_to_websocket(execution_id: str, data: dict): + """Send data to the WebSocket connection for this execution.""" + ws = _websocket_connections.get(execution_id) + if ws: + try: + await ws.send_json(data) + except Exception: + pass + + +async def _connect_dap_client(execution_id: str, debug_port: int, file_path: str, breakpoints: list): + """ + Connect to debugpy via Debug Adapter Protocol (DAP) and manage debug session. + """ + import json + + execution = _code_executions.get(execution_id) + if not execution: + return + + reader = None + writer = None + seq = 1 + buffer = b"" # Shared buffer for reading + dap_lock = asyncio.Lock() # Lock for coordinating DAP reads + reading_in_progress = False # Flag to track if a read is happening + + async def read_dap_message(timeout: float = 10.0, use_lock: bool = True): + """Read a single DAP message.""" + nonlocal buffer, reading_in_progress + + # Check if another read is in progress + if reading_in_progress: + await asyncio.sleep(0.1) + return None + + try: + if use_lock: + # Try to acquire lock with timeout + try: + await asyncio.wait_for(dap_lock.acquire(), timeout=0.5) + except asyncio.TimeoutError: + return None + + reading_in_progress = True + deadline = asyncio.get_event_loop().time() + timeout + read_attempts = 0 + + # Read until we have headers + while b"\r\n\r\n" not in buffer: + remaining = deadline - asyncio.get_event_loop().time() + if remaining <= 0: + # Don't clear buffer - keep partial data for next read + # Only log if there's significant data stuck + if len(buffer) > 50: + buffer_preview = buffer[:80].decode('utf-8', errors='replace') + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Read timeout with {len(buffer)} bytes in buffer" + }) + return None + try: + read_attempts += 1 + chunk = await asyncio.wait_for(reader.read(4096), timeout=min(remaining, 2.0)) + if not chunk: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Read got empty chunk after {read_attempts} attempts" + }) + return None + buffer += chunk + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Read {len(chunk)} bytes, total buffer: {len(buffer)}" + }) + except asyncio.TimeoutError: + if buffer: + continue # Keep trying if we have partial data + return None + + # Split headers from potential body data + header_end = buffer.index(b"\r\n\r\n") + 4 + header_data = buffer[:header_end].decode() + buffer = buffer[header_end:] + + # Parse Content-Length + content_length = 0 + for line in header_data.split("\r\n"): + if line.lower().startswith("content-length:"): + content_length = int(line.split(":", 1)[1].strip()) + break + + if content_length == 0: + return None + + # Read body (might already be in buffer) + while len(buffer) < content_length: + remaining = deadline - asyncio.get_event_loop().time() + if remaining <= 0: + return None + try: + chunk = await asyncio.wait_for(reader.read(content_length - len(buffer)), timeout=min(remaining, 2.0)) + if not chunk: + return None + buffer += chunk + except asyncio.TimeoutError: + return None + + # Extract body from buffer + body_data = buffer[:content_length] + buffer = buffer[content_length:] + + return json.loads(body_data.decode()) + + except Exception as e: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Read error: {str(e)}" + }) + return None + finally: + reading_in_progress = False + if use_lock and dap_lock.locked(): + dap_lock.release() + + async def send_request_and_wait(command: str, arguments: dict = None, timeout: float = 10.0) -> dict: + """Send a DAP request and wait for the response, handling any events in between.""" + nonlocal seq + + request = { + "seq": seq, + "type": "request", + "command": command + } + if arguments: + request["arguments"] = arguments + + request_seq = seq + seq += 1 + + # Send request + body = json.dumps(request) + header = f"Content-Length: {len(body)}\r\n\r\n" + writer.write((header + body).encode()) + await writer.drain() + + # Wait for response, handling events in between + start_time = asyncio.get_event_loop().time() + messages_received = 0 + while (asyncio.get_event_loop().time() - start_time) < timeout: + remaining = timeout - (asyncio.get_event_loop().time() - start_time) + message = await read_dap_message(timeout=min(3.0, remaining), use_lock=False) # No lock during init + if message is None: + continue + + messages_received += 1 + msg_type = message.get("type") + + # Log what we receive for debugging + if msg_type == "response": + resp_cmd = message.get("command", "unknown") + resp_seq = message.get("request_seq", -1) + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Got response for {resp_cmd} (seq={resp_seq}, expecting={request_seq})" + }) + elif msg_type == "event": + event_name = message.get("event", "unknown") + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Got event: {event_name}" + }) + + if msg_type == "response" and message.get("request_seq") == request_seq: + return message + elif msg_type == "event": + # Handle event asynchronously + asyncio.create_task(handle_event(message)) + + raise asyncio.TimeoutError(f"Timeout waiting for {command} response (received {messages_received} messages)") + + # Message queue for coordinating reads + pending_responses = {} # seq -> asyncio.Future + + async def send_command(command: str, arguments: dict = None) -> None: + """Send a DAP command without waiting for response (fire and forget).""" + nonlocal seq + request = { + "seq": seq, + "type": "request", + "command": command + } + if arguments: + request["arguments"] = arguments + seq += 1 + + body = json.dumps(request) + header = f"Content-Length: {len(body)}\r\n\r\n" + writer.write((header + body).encode()) + await writer.drain() + + async def handle_event(message: dict): + """Handle DAP events.""" + event_name = message.get("event") + body = message.get("body", {}) + + # Log all events for debugging + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] handle_event: {event_name}" + }) + + if event_name == "stopped": + reason = body.get("reason", "unknown") + thread_id = body.get("threadId", 1) + execution["thread_id"] = thread_id # Store for debug actions + + await _send_to_websocket(execution_id, { + "type": "debug_stopped", + "reason": reason, + "thread_id": thread_id, + "content": f"[DEBUG] Paused: {reason}" + }) + + # Queue request for debug state - will be processed by message loop + execution["pending_debug_state"] = thread_id + + elif event_name == "continued": + await _send_to_websocket(execution_id, { + "type": "debug_continued", + "content": "[DEBUG] Execution continued" + }) + + elif event_name in ("terminated", "exited"): + await _send_to_websocket(execution_id, { + "type": "debug_terminated", + "content": "[DEBUG] Debug session ended" + }) + + async def fetch_debug_state(thread_id: int): + """Fetch and send debug state (stack trace + variables).""" + nonlocal seq, buffer + try: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] fetch_debug_state: sending stackTrace for thread {thread_id}" + }) + + # Send stackTrace request + await send_command("stackTrace", { + "threadId": thread_id, + "startFrame": 0, + "levels": 20 + }) + + # Wait for stackTrace response (read_dap_message handles locking) + stack_response = None + for i in range(30): + msg = await read_dap_message(timeout=0.5) + if msg: + msg_type = msg.get("type") + msg_cmd = msg.get("command", "") + if msg_type == "response" and msg_cmd == "stackTrace": + stack_response = msg + break + elif msg_type == "event": + await handle_event(msg) + else: + await asyncio.sleep(0.05) + + if not stack_response or not stack_response.get("body"): + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] fetch_debug_state: no stack response received" + }) + return + + frames = stack_response["body"].get("stackFrames", []) + if not frames: + return + + frame = frames[0] + line_num = frame.get("line", 0) + file_path = frame.get("source", {}).get("path") + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] SENDING debug_location: line={line_num}" + }) + await _send_to_websocket(execution_id, { + "type": "debug_location", + "line": line_num, + "file": file_path, + "frame_id": frame.get("id"), + "frames": frames + }) + + # Get scopes + await send_command("scopes", {"frameId": frame.get("id")}) + + scopes_response = None + for _ in range(20): + msg = await read_dap_message(timeout=0.5) + if msg: + if msg.get("type") == "response" and msg.get("command") == "scopes": + scopes_response = msg + break + elif msg.get("type") == "event": + await handle_event(msg) + else: + await asyncio.sleep(0.05) + + if not scopes_response or not scopes_response.get("body"): + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] No scopes response" + }) + return + + # Get variables for each scope + all_vars = [] + for scope in scopes_response["body"].get("scopes", [])[:2]: + var_ref = scope.get("variablesReference") + if not var_ref: + continue + + await send_command("variables", {"variablesReference": var_ref}) + + vars_response = None + for _ in range(20): + msg = await read_dap_message(timeout=0.5) + if msg: + if msg.get("type") == "response" and msg.get("command") == "variables": + vars_response = msg + break + elif msg.get("type") == "event": + await handle_event(msg) + else: + await asyncio.sleep(0.05) + + if vars_response and vars_response.get("body"): + for v in vars_response["body"].get("variables", [])[:30]: + all_vars.append({ + "scope": scope.get("name"), + "name": v.get("name"), + "value": str(v.get("value", ""))[:200], + "type": v.get("type"), + "variablesReference": v.get("variablesReference", 0) + }) + + if all_vars: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] SENDING debug_variables: {len(all_vars)} vars" + }) + await _send_to_websocket(execution_id, { + "type": "debug_variables", + "variables": all_vars + }) + else: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] No variables found" + }) + + except Exception as e: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Error getting state: {str(e)}" + }) + + async def message_loop(): + """Main message loop - reads all DAP messages and dispatches them.""" + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Message loop started" + }) + + loop_count = 0 + while execution.get("status") == "running": + try: + loop_count += 1 + + # Check if we need to fetch debug state + pending_thread = execution.pop("pending_debug_state", None) + if pending_thread: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Fetching debug state for thread {pending_thread}" + }) + await fetch_debug_state(pending_thread) + continue + + # read_dap_message handles locking internally + message = await read_dap_message(timeout=0.5) + if message: + msg_type = message.get("type") + event_name = message.get("event", message.get("command", "")) + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Loop received: {msg_type} - {event_name}" + }) + + if msg_type == "event": + await handle_event(message) + elif msg_type == "response": + # Check if anyone is waiting for this response + req_seq = message.get("request_seq") + if req_seq in pending_responses: + pending_responses[req_seq].set_result(message) + except Exception as e: + if loop_count < 5: # Only log first few errors + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Loop error: {str(e)}" + }) + await asyncio.sleep(0.05) + + # Wait for debugpy to be ready by checking for [DEBUGPY_READY] in output + # Give it some time to start + await asyncio.sleep(2.0) + + # Connect with retries - debugpy might take a moment to start listening + connected = False + for attempt in range(15): # Up to ~15 seconds of retries + try: + reader, writer = await asyncio.wait_for( + asyncio.open_connection('127.0.0.1', debug_port), + timeout=2.0 + ) + connected = True + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Connected to debug adapter" + }) + break + except (ConnectionRefusedError, asyncio.TimeoutError, OSError) as e: + if attempt < 14: + await asyncio.sleep(0.5) + continue + else: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Failed to connect to debug server after {attempt+1} attempts" + }) + return + + if not connected or not reader or not writer: + return + + event_task = None + attach_seq = None # Track attach request seq to get response later + + try: + # Test if we can read from connection + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Testing connection read..." + }) + + # Try to read any initial data (some debuggers send events on connect) + try: + test_data = await asyncio.wait_for(reader.read(100), timeout=0.5) + if test_data: + buffer = test_data # Put it in buffer for later processing + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Initial data received: {len(test_data)} bytes" + }) + except asyncio.TimeoutError: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] No initial data (normal)" + }) + + # DAP handshake - Step 1: Initialize + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Sending initialize..." + }) + + init_resp = await send_request_and_wait("initialize", { + "clientID": "sygra", + "adapterID": "debugpy", + "pathFormat": "path", + "linesStartAt1": True, + "columnsStartAt1": True, + "supportsVariableType": True, + "supportsRunInTerminalRequest": False, + "supportsProgressReporting": False + }, timeout=15.0) + + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Initialize OK" + }) + + # Step 2: Send attach request (but don't wait for response yet - it comes after configurationDone) + attach_request = { + "seq": seq, + "type": "request", + "command": "attach", + "arguments": { + "justMyCode": False, + "subProcess": False + } + } + attach_seq = seq + seq += 1 + + body = json.dumps(attach_request) + header = f"Content-Length: {len(body)}\r\n\r\n" + writer.write((header + body).encode()) + await writer.drain() + + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Attach request sent" + }) + + # Step 3: Wait for 'initialized' event before setting breakpoints + # Read messages until we get initialized event + got_initialized = False + start_time = asyncio.get_event_loop().time() + while (asyncio.get_event_loop().time() - start_time) < 10.0: + message = await read_dap_message(timeout=2.0) + if message: + if message.get("type") == "event" and message.get("event") == "initialized": + got_initialized = True + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Got initialized event" + }) + break + elif message.get("type") == "event": + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Event: {message.get('event')}" + }) + + if not got_initialized: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Warning: No initialized event received" + }) + + # Step 4: Set breakpoints + if breakpoints: + bp_resp = await send_request_and_wait("setBreakpoints", { + "source": {"path": file_path}, + "breakpoints": [{"line": ln} for ln in breakpoints] + }, timeout=10.0) + verified = sum(1 for bp in bp_resp.get("body", {}).get("breakpoints", []) if bp.get("verified")) + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Breakpoints: {verified}/{len(breakpoints)} at {breakpoints}" + }) + + # Step 5: Send configurationDone - this triggers attach response + await send_request_and_wait("configurationDone", timeout=10.0) + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Configuration done" + }) + + # Step 6: Now wait for attach response + start_time = asyncio.get_event_loop().time() + attach_resp = None + while (asyncio.get_event_loop().time() - start_time) < 10.0: + message = await read_dap_message(timeout=2.0) + if message: + if message.get("type") == "response" and message.get("request_seq") == attach_seq: + attach_resp = message + break + elif message.get("type") == "event": + asyncio.create_task(handle_event(message)) + + if attach_resp: + if attach_resp.get("success", True): + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] Debugger attached - session active!" + }) + else: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Attach failed: {attach_resp.get('message')}" + }) + return + else: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": "[DEBUG] No attach response, but continuing..." + }) + + # Function to fetch variables with proper coordination + async def fetch_variables(variables_reference: int) -> list: + """Fetch child variables for a given reference.""" + nonlocal seq + await send_command("variables", {"variablesReference": variables_reference}) + + # Read responses until we get our variables response (read_dap_message handles locking) + for _ in range(20): + msg = await read_dap_message(timeout=0.5) + if msg: + if msg.get("type") == "response" and msg.get("command") == "variables": + if msg.get("body"): + return [ + { + "name": v.get("name"), + "value": str(v.get("value", ""))[:200], + "type": v.get("type"), + "variablesReference": v.get("variablesReference", 0) + } + for v in msg["body"].get("variables", []) + ] + elif msg.get("type") == "event": + await handle_event(msg) + else: + await asyncio.sleep(0.05) + return [] + + # Store functions for debug actions API + execution["dap_send_command"] = send_command + execution["dap_read_message"] = read_dap_message + execution["dap_fetch_variables"] = fetch_variables + execution["dap_lock"] = dap_lock + + # Start message loop to handle events and fetch debug state + event_task = asyncio.create_task(message_loop()) + + while execution.get("status") == "running": + await asyncio.sleep(0.5) + + except asyncio.TimeoutError as e: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Protocol timeout: {str(e)}" + }) + except Exception as e: + await _send_to_websocket(execution_id, { + "type": "debug", + "content": f"[DEBUG] Error: {str(e)}" + }) + finally: + if event_task: + event_task.cancel() + if writer: + writer.close() + + +async def _save_workflow_to_disk(app: FastAPI, request: WorkflowCreateRequest, is_new: bool) -> WorkflowSaveResponse: + """ + Save a workflow to disk as graph_config.yaml and task_executor.py. + + Args: + app: FastAPI application instance + request: Workflow creation request + is_new: Whether this is a new workflow or an update + + Returns: + WorkflowSaveResponse with details about created files + """ + import re + import yaml + + tasks_dir = Path(app.state.tasks_dir) + + # Sanitize workflow name for directory + sanitized_name = re.sub(r'[^\w\-]', '_', request.name.lower().strip()) + sanitized_name = re.sub(r'_+', '_', sanitized_name).strip('_') + + if not sanitized_name: + raise HTTPException(status_code=400, detail="Invalid workflow name") + + # Determine target directory + if is_new: + workflow_dir = tasks_dir / sanitized_name + # Check if directory already exists + counter = 1 + original_name = sanitized_name + while workflow_dir.exists(): + sanitized_name = f"{original_name}_{counter}" + workflow_dir = tasks_dir / sanitized_name + counter += 1 + else: + # For updates, use existing path if available + if request.source_path: + config_path = Path(request.source_path) + if config_path.name == "graph_config.yaml": + workflow_dir = config_path.parent + else: + workflow_dir = config_path + else: + workflow_dir = tasks_dir / sanitized_name + + # Create directory if needed + workflow_dir.mkdir(parents=True, exist_ok=True) + + files_created = [] + + # Generate graph_config.yaml + graph_config = _generate_graph_config(request, sanitized_name) + config_path = workflow_dir / "graph_config.yaml" + + with open(config_path, 'w') as f: + yaml.dump(graph_config, f, default_flow_style=False, sort_keys=False, allow_unicode=True) + files_created.append(str(config_path)) + + # Generate task_executor.py if there are custom processors + executor_code = _generate_task_executor(request, sanitized_name) + if executor_code: + executor_path = workflow_dir / "task_executor.py" + with open(executor_path, 'w') as f: + f.write(executor_code) + files_created.append(str(executor_path)) + + # Generate workflow ID + workflow_id = sanitized_name + + # Update cache + try: + graph = app.state.graph_builder.build_from_yaml(str(config_path)) + _workflows[graph.id] = graph + workflow_id = graph.id + except Exception as e: + print(f"Warning: Could not reload workflow after save: {e}") + + return WorkflowSaveResponse( + success=True, + workflow_id=workflow_id, + source_path=str(config_path), + message=f"Workflow '{request.name}' saved successfully", + files_created=files_created + ) + + +# Track used function/class names to ensure uniqueness +_used_names: set = set() + + +def _generate_readable_name(node, node_type: str, all_nodes: list, suffix: str) -> str: + """ + Generate a unique readable name for a node's class/function based on summary or position. + + Args: + node: The node to generate a name for + node_type: Type of node (lambda, data, output) + all_nodes: All nodes in the workflow + suffix: Suffix to add (function, transform, generator) + + Returns: + A unique readable Python identifier like 'process_data_function' or 'lambda_1_function' + """ + import re + global _used_names + + base_name = None + + # Try to use node summary if available and meaningful + if node.summary and node.summary.strip(): + # Convert summary to valid Python identifier + name = re.sub(r'[^\w\s]', '', node.summary.lower().strip()) + name = re.sub(r'\s+', '_', name) + name = re.sub(r'_+', '_', name).strip('_') + # Skip if summary just equals the node type (not meaningful) + if name and name != node_type: + if name[0].isdigit(): + name = f"{node_type}_{name}" + base_name = name + + # Fall back to numbered name based on position + if not base_name: + same_type_nodes = [n for n in all_nodes if n.node_type == node_type] + try: + index = same_type_nodes.index(node) + 1 + except ValueError: + index = 1 + base_name = f"{node_type}_{index}" + + # Ensure uniqueness by adding counter if needed + full_name = f"{base_name}_{suffix}" + if full_name in _used_names: + counter = 2 + while f"{base_name}_{counter}_{suffix}" in _used_names: + counter += 1 + full_name = f"{base_name}_{counter}_{suffix}" + + _used_names.add(full_name) + return full_name + + +def _reset_used_names(): + """Reset the used names set - call at start of each workflow generation.""" + global _used_names + _used_names = set() + + +def _generate_graph_config(request: WorkflowCreateRequest, task_name: str) -> dict: + """ + Generate graph_config.yaml content from workflow request. + + Args: + request: Workflow creation request + task_name: Sanitized task name for paths + + Returns: + Dictionary ready for YAML serialization + """ + # Reset used names for this workflow generation + _reset_used_names() + + config = {} + + # Data config + if request.data_config and request.data_config.get('source'): + config['data_config'] = request.data_config + + # Graph config + graph_config = {'nodes': {}, 'edges': []} + + for node in request.nodes: + # Skip START and END nodes - they're implicit + if node.node_type in ('start', 'end'): + continue + + node_config: Dict[str, Any] = { + 'node_type': node.node_type + } + + # Add node-specific config + if node.node_type == 'llm': + if node.prompt: + # Convert prompt messages to YAML format + prompt_list = [] + for msg in node.prompt: + if hasattr(msg, 'role') and hasattr(msg, 'content'): + prompt_list.append({msg.role: msg.content}) + elif isinstance(msg, dict): + prompt_list.append({msg.get('role', 'user'): msg.get('content', '')}) + if prompt_list: + node_config['prompt'] = prompt_list + + if node.model: + model_config = {'name': node.model.name if hasattr(node.model, 'name') else node.model.get('name', 'gpt-4o')} + params = node.model.parameters if hasattr(node.model, 'parameters') else node.model.get('parameters', {}) + if params: + model_config['parameters'] = params + node_config['model'] = model_config + + elif node.node_type == 'lambda': + if node.function_path: + node_config['function_path'] = node.function_path + else: + # Generate a readable function name from node summary or a simple counter + func_name = _generate_readable_name(node, 'lambda', request.nodes, 'function') + generated_path = f"tasks.examples.{task_name}.task_executor.{func_name}" + node_config['function_path'] = generated_path + # Store back on node for task_executor generation + node.function_path = generated_path + + elif node.node_type == 'subgraph': + if node.subgraph_path: + node_config['subgraph'] = node.subgraph_path + + elif node.node_type == 'connector': + if node.metadata: + node_config.update(node.metadata) + + elif node.node_type == 'data': + # Data nodes are stored in data_config at workflow level, NOT in graph_config.nodes + if node.data_config: + # Copy data_config but strip out internal fields + data_config_clean = {k: v for k, v in node.data_config.items() if not k.startswith('_')} + if data_config_clean: + if 'data_config' not in config: + config['data_config'] = {} + config['data_config'].update(data_config_clean) + # Skip adding to graph_config.nodes - data nodes are implicit + continue + + elif node.node_type == 'output': + # Output nodes are stored in output_config at workflow level, NOT in graph_config.nodes + if node.output_config: + # Copy output_config but strip out internal fields + output_config_clean = {k: v for k, v in node.output_config.items() if not k.startswith('_')} + if output_config_clean: + if 'output_config' not in config: + config['output_config'] = {} + config['output_config'].update(output_config_clean) + # Skip adding to graph_config.nodes - output nodes are implicit + continue + + elif node.node_type == 'weighted_sampler': + node_config['node_type'] = 'weighted_sampler' + if node.sampler_config and node.sampler_config.get('attributes'): + node_config['attributes'] = node.sampler_config['attributes'] + + # Add pre/post processors + if node.pre_process: + node_config['pre_process'] = node.pre_process + if node.post_process: + node_config['post_process'] = node.post_process + + # Add description as comment (via metadata) + if node.description: + node_config['description'] = node.description + + graph_config['nodes'][node.id] = node_config + + # Build set of data and output node IDs to filter edges + excluded_node_ids = {node.id for node in request.nodes if node.node_type in ('data', 'output')} + + # Edges - exclude any edges involving data or output nodes + for edge in request.edges: + # Skip edges connected to data or output nodes + if edge.source in excluded_node_ids or edge.target in excluded_node_ids: + continue + + edge_config: Dict[str, Any] = { + 'from': edge.source if edge.source != 'START' else 'START', + 'to': edge.target if edge.target != 'END' else 'END' + } + + if edge.is_conditional and edge.condition: + edge_config['condition_path'] = edge.condition.condition_path + if edge.condition.path_map: + edge_config['path_map'] = edge.condition.path_map + + if edge.label: + edge_config['label'] = edge.label + + graph_config['edges'].append(edge_config) + + config['graph_config'] = graph_config + + # Output config - filter out data/output nodes from output_map + if request.output_config: + # Clean the output_config by removing data/output node references from output_map + output_config_clean = dict(request.output_config) + if 'output_map' in output_config_clean: + output_config_clean['output_map'] = { + k: v for k, v in output_config_clean['output_map'].items() + if k not in excluded_node_ids + } + config['output_config'] = output_config_clean + else: + # Generate minimal default output config - just id mapping + # Users can add more mappings via the UI if needed + config['output_config'] = {'output_map': {'id': {'from': 'id'}}} + + # Schema config + if request.schema_config: + config['schema_config'] = request.schema_config + + return config + + +def _generate_task_executor(request: WorkflowCreateRequest, task_name: str) -> Optional[str]: + """ + Generate task_executor.py content for custom processors. + + Args: + request: Workflow creation request + task_name: Sanitized task name for paths + + Returns: + Python code as string, or None if no custom code needed + """ + imports = set() + classes = [] + functions = [] + + # Check for custom processors and lambdas + needs_executor = False + + for node in request.nodes: + # Check for pre/post processors that reference this task + if node.pre_process and task_name in node.pre_process: + needs_executor = True + imports.add("from sygra.core.graph.functions.node_processor import NodePreProcessorWithState") + imports.add("from sygra.core.graph.sygra_state import SygraState") + + # Generate placeholder class + class_name = node.pre_process.split('.')[-1] + classes.append(f''' +class {class_name}(NodePreProcessorWithState): + """Pre-processor for {node.id} node.""" + + def apply(self, state: SygraState) -> SygraState: + # TODO: Implement pre-processing logic + # Access state variables: state["variable_name"] + # Modify state as needed + return state +''') + + if node.post_process and task_name in node.post_process: + needs_executor = True + imports.add("from sygra.core.graph.functions.node_processor import NodePostProcessorWithState") + imports.add("from sygra.core.graph.sygra_message import SygraMessage") + imports.add("from sygra.core.graph.sygra_state import SygraState") + + # Generate placeholder class + class_name = node.post_process.split('.')[-1] + classes.append(f''' +class {class_name}(NodePostProcessorWithState): + """Post-processor for {node.id} node.""" + + def apply(self, resp: SygraMessage, state: SygraState) -> SygraState: + # TODO: Implement post-processing logic + # Access LLM response: resp.message.content + # Modify state as needed: state["output_key"] = processed_value + return state +''') + + # Check for lambda functions - always generate stub if function_path contains this task + if node.node_type == 'lambda' and node.function_path: + # Check if function should be defined in this task's executor + if task_name in node.function_path or 'task_executor' in node.function_path: + needs_executor = True + imports.add("from sygra.core.graph.sygra_state import SygraState") + imports.add("from typing import Any") + + func_name = node.function_path.split('.')[-1] + # Generate descriptive docstring + node_desc = node.summary if node.summary else f"Lambda node {node.id}" + functions.append(f''' +def {func_name}(state: SygraState) -> Any: + """ + Lambda function: {node_desc} + + This function is executed as part of the workflow pipeline. + Modify the state and return it, or return a value to be stored. + + Args: + state: Current workflow state containing all variables + + Returns: + Modified state or a value to store in state["{node.id}"] + """ + # TODO: Implement your processing logic here + # + # Example - Access input data: + # input_data = state.get("previous_node_output") + # + # Example - Process and return: + # result = process(input_data) + # return result + # + # Example - Modify state directly: + # state["my_output"] = computed_value + # return state + + return state +''') + + # Check for data node transformations + if node.node_type == 'data' and node.data_config: + transform_code = node.data_config.get('_transform_code', '') + if transform_code and transform_code.strip(): + needs_executor = True + # The transform code already contains imports and class definition + classes.append(f''' +# === Data Transformation for {node.id} === +{transform_code} +''') + + # Check for output node generators + if node.node_type == 'output' and node.output_config: + generator_code = node.output_config.get('_generator_code', '') + if generator_code and generator_code.strip(): + needs_executor = True + # The generator code already contains imports and class definition + classes.append(f''' +# === Output Generator for {node.id} === +{generator_code} +''') + + # Check for conditional edges + for edge in request.edges: + if edge.is_conditional and edge.condition and edge.condition.condition_path: + if task_name in edge.condition.condition_path: + needs_executor = True + imports.add("from sygra.core.graph.sygra_state import SygraState") + + func_name = edge.condition.condition_path.split('.')[-1] + path_map_keys = list(edge.condition.path_map.keys()) if edge.condition.path_map else ['default'] + + functions.append(f''' +def {func_name}(state: SygraState) -> str: + """Conditional edge function from {edge.source} to determine next node.""" + # TODO: Implement condition logic + # Return one of: {path_map_keys} + # Access state variables: state["variable_name"] + return "{path_map_keys[0]}" +''') + + if not needs_executor: + return None + + # Build the file content + code_parts = [ + '"""', + f'Task executor for {request.name} workflow.', + '', + 'This file contains custom processors, lambda functions, and conditional edge logic.', + '"""', + '', + ] + + # Add imports + for imp in sorted(imports): + code_parts.append(imp) + + code_parts.append('') + + # Add classes + for cls in classes: + code_parts.append(cls) + + # Add functions + for func in functions: + code_parts.append(func) + + return '\n'.join(code_parts) + + +def _execute_workflow_subprocess( + task_name: str, + args_dict: dict, + result_queue: multiprocessing.Queue, + log_queue: multiprocessing.Queue, +): + """ + Function that runs in a subprocess to execute the workflow. + + This allows us to terminate the process mid-execution to save LLM costs. + Logs are sent back to the main process via log_queue. + """ + try: + from sygra.core.base_task_executor import DefaultTaskExecutor + from sygra.utils import utils + from sygra.logger.logger_config import set_external_logger + from argparse import Namespace + from datetime import datetime + + # Create a logger that sends logs to the queue + class QueueLogger: + def __init__(self, queue): + self.queue = queue + + def _send(self, level: str, msg: str): + timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S,%f")[:-3] + self.queue.put(f"{timestamp} - {level} - {msg}") + + def debug(self, msg: str): self._send("DEBUG", msg) + def info(self, msg: str): self._send("INFO", msg) + def warn(self, msg: str): self._send("WARNING", msg) + def warning(self, msg: str): self._send("WARNING", msg) + def error(self, msg: str): self._send("ERROR", msg) + def exception(self, msg: str): self._send("ERROR", msg) + + # Set up log capture + queue_logger = QueueLogger(log_queue) + set_external_logger(queue_logger) + + # Reconstruct args namespace + args = Namespace(**args_dict) + + # Set current task for SyGra utils + utils.current_task = task_name + + # Create and run task executor + executor = DefaultTaskExecutor(args) + executor.execute() + + result_queue.put({"status": "completed"}) + except Exception as e: + import traceback + from datetime import datetime as dt + log_queue.put(f"{dt.now().strftime('%Y-%m-%d %H:%M:%S')} - ERROR - {type(e).__name__}: {str(e)}") + result_queue.put({ + "status": "failed", + "error": f"{type(e).__name__}: {str(e)}", + "traceback": traceback.format_exc() + }) + + +class ExecutionLogCapture: + """ + Logger that captures SyGra logs to an execution's logs list. + + Implements SyGra's ExternalLoggerProtocol to intercept all SyGra logs. + """ + + def __init__(self, execution: WorkflowExecution): + self.execution = execution + + def _format_msg(self, level: str, msg: str) -> str: + """Format log message with timestamp like SyGra's default format.""" + from datetime import datetime + timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S,%f")[:-3] + return f"{timestamp} - {level} - {msg}" + + def debug(self, msg: str) -> None: + self.execution.logs.append(self._format_msg("DEBUG", msg)) + + def info(self, msg: str) -> None: + self.execution.logs.append(self._format_msg("INFO", msg)) + + def warn(self, msg: str) -> None: + self.execution.logs.append(self._format_msg("WARNING", msg)) + + def error(self, msg: str) -> None: + self.execution.logs.append(self._format_msg("ERROR", msg)) + + def exception(self, msg: str) -> None: + self.execution.logs.append(self._format_msg("ERROR", msg)) + + +async def _run_workflow( + execution_id: str, + workflow: WorkflowGraph, + request: ExecutionRequest, +) -> None: + """ + Background task to run a SyGra workflow in a subprocess. + + Using multiprocessing allows us to terminate the execution mid-flight + when cancellation is requested, saving LLM costs. + + Args: + execution_id: The execution ID. + workflow: The workflow graph to execute. + request: The execution request. + """ + import os + import glob + import json + + execution = _executions[execution_id] + + # Check if already cancelled before starting + if execution_id in _cancelled_executions: + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + _cancelled_executions.discard(execution_id) + return + + execution.status = ExecutionStatus.RUNNING + + try: + # Load the workflow configuration + if not workflow.source_path: + raise ValueError("Workflow source path not available") + + # Extract task name from source path + source_path = workflow.source_path + if source_path.endswith("/graph_config.yaml"): + task_dir = os.path.dirname(source_path) + else: + task_dir = source_path + + # Convert path to task module format + task_name = task_dir.replace("/", ".").replace("\\", ".") + if not task_name.startswith("tasks."): + task_name = f"tasks.{task_name}" if not task_name.startswith("tasks") else task_name + + # Determine output directory and run name + effective_output_dir = request.output_dir if request.output_dir else task_dir + effective_run_name = request.run_name if request.run_name else f"studio_{execution_id[:8]}" + + # Create args dict for subprocess (must be picklable) + args_dict = { + "task": task_name, + "start_index": request.start_index, + "num_records": request.num_records, + "batch_size": request.batch_size, + "checkpoint_interval": request.checkpoint_interval, + "debug": request.debug, + "clear_logs": False, + "output_with_ts": request.output_with_ts, + "run_name": effective_run_name, + "run_args": request.run_args or {}, + "resume": request.resume, + "output_dir": effective_output_dir, + "oasst": False, + "quality": request.quality, + "disable_metadata": request.disable_metadata, + } + + # Update node states + execution.current_node = "START" + if "START" in execution.node_states: + execution.node_states["START"].status = ExecutionStatus.COMPLETED + execution.node_states["START"].completed_at = datetime.now() + + # Create queues for subprocess communication + result_queue = multiprocessing.Queue() + log_queue = multiprocessing.Queue() + + process = multiprocessing.Process( + target=_execute_workflow_subprocess, + args=(task_name, args_dict, result_queue, log_queue) + ) + + # Store process for potential cancellation + _running_processes[execution_id] = process + + execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - INFO - Starting workflow execution in subprocess...") + process.start() + + # Helper to drain logs from queue + def drain_logs(): + while True: + try: + log_msg = log_queue.get_nowait() + execution.logs.append(log_msg) + except: + break + + # Poll for completion while checking for cancellation and collecting logs + while process.is_alive(): + # Collect any pending logs + drain_logs() + + if execution_id in _cancelled_executions: + execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - INFO - Cancellation requested, terminating execution...") + process.terminate() + process.join(timeout=5) + if process.is_alive(): + process.kill() + drain_logs() # Get any final logs + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + _cancelled_executions.discard(execution_id) + if execution_id in _running_processes: + del _running_processes[execution_id] + # Close queues to prevent resource leaks + try: + log_queue.close() + result_queue.close() + except: + pass + # Persist execution history + _save_executions() + return + await asyncio.sleep(0.3) # Check every 300ms for more responsive log updates + + process.join() + + # Drain any remaining logs + drain_logs() + + # Clean up process reference + if execution_id in _running_processes: + del _running_processes[execution_id] + + # Check if cancelled externally (e.g., via cancel endpoint terminating process) + # This handles the race condition where the process was killed externally + if execution_id in _cancelled_executions or execution.status == ExecutionStatus.CANCELLED: + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + _cancelled_executions.discard(execution_id) + # Close queues + try: + log_queue.close() + result_queue.close() + except: + pass + _save_executions() + return + + # Get result from queue + result = None + try: + result = result_queue.get_nowait() + except: + pass + + # Close queues to prevent resource leaks + try: + log_queue.close() + log_queue.join_thread() + result_queue.close() + result_queue.join_thread() + except: + pass + + if result and result.get("status") == "failed": + raise Exception(result.get("error", "Unknown error")) + + # Final check: if cancelled during execution, don't mark as completed + if execution_id in _cancelled_executions or execution.status == ExecutionStatus.CANCELLED: + execution.status = ExecutionStatus.CANCELLED + if not execution.completed_at: + execution.completed_at = datetime.now() + _cancelled_executions.discard(execution_id) + _save_executions() + return + + execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - INFO - Workflow execution completed") + + # Mark all nodes as completed + for node_id, node_state in execution.node_states.items(): + if node_state.status == ExecutionStatus.PENDING: + node_state.status = ExecutionStatus.COMPLETED + node_state.completed_at = datetime.now() + + execution.status = ExecutionStatus.COMPLETED + execution.completed_at = datetime.now() + + # Find the output file and read its contents + import glob + import json + output_pattern = f"{effective_output_dir}/{effective_run_name}_output_*.json" + output_files = glob.glob(output_pattern) + if output_files: + # Get the most recent file + execution.output_file = max(output_files, key=os.path.getmtime) + + # Read and parse the output data + try: + with open(execution.output_file, 'r') as f: + output_content = f.read().strip() + if not output_content: + execution.output_data = None + else: + # Try parsing as JSON first (handles arrays and objects) + try: + execution.output_data = json.loads(output_content) + except json.JSONDecodeError: + # Fallback to JSONL format (one JSON object per line) + execution.output_data = [json.loads(line) for line in output_content.split('\n') if line.strip()] + except Exception as read_err: + execution.output_data = result # Fallback to executor result + else: + execution.output_data = result + + # Find and load metadata file + metadata_dir = f"{effective_output_dir}/metadata" + if os.path.exists(metadata_dir): + metadata_pattern = f"{metadata_dir}/metadata_*.json" + metadata_files = glob.glob(metadata_pattern) + if metadata_files: + # Get the most recent metadata file + execution.metadata_file = max(metadata_files, key=os.path.getmtime) + try: + with open(execution.metadata_file, 'r') as f: + execution.metadata = json.load(f) + except Exception as meta_err: + execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - WARNING - Failed to load metadata: {meta_err}") + + if execution.started_at: + duration = (execution.completed_at - execution.started_at).total_seconds() + execution.duration_ms = int(duration * 1000) + + # Persist execution history + _save_executions() + + except Exception as e: + import traceback + error_msg = f"{type(e).__name__}: {str(e)}" + execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - ERROR - Workflow execution failed: {error_msg}") + execution.logs.append(traceback.format_exc()) + + execution.status = ExecutionStatus.FAILED + execution.error = error_msg + execution.completed_at = datetime.now() + + # Mark current node as failed + if execution.current_node: + node_state = execution.node_states.get(execution.current_node) + if node_state: + node_state.status = ExecutionStatus.FAILED + node_state.error = error_msg + + # Clean up process if it exists + if execution_id in _running_processes: + del _running_processes[execution_id] + + # Persist execution history + _save_executions() + + finally: + # Clean up cancellation tracking + _cancelled_executions.discard(execution_id) + + +# Create default app instance +app = create_app() + + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/studio/config/.gitkeep b/studio/config/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/studio/config/custom_models.yaml b/studio/config/custom_models.yaml new file mode 100644 index 00000000..e685f3f5 --- /dev/null +++ b/studio/config/custom_models.yaml @@ -0,0 +1,8 @@ +test: + model_type: azure_openai + model: test + api_version: 2024-08-01-preview + parameters: + max_tokens: 1000 + temperature: 0.7 + xyz: pqr diff --git a/studio/converter.py b/studio/converter.py new file mode 100644 index 00000000..6ca228c4 --- /dev/null +++ b/studio/converter.py @@ -0,0 +1,423 @@ +from typing import Any, Dict, List, Optional + +from studio.models import ( + NodeType, + WorkflowGraph, +) +from sygra.utils import utils + + +class SygraToStudioConverter: + """ + Converts SyGra workflow configurations to OpenFlow format. + + This enables SyGra workflows to be visualized and potentially execute. + """ + + # Map SyGra node types to Studio module types + MODULE_TYPE_MAP = { + NodeType.LLM: "rawscript", + NodeType.LAMBDA: "rawscript", + NodeType.SUBGRAPH: "flow", + NodeType.WEIGHTED_SAMPLER: "rawscript", + NodeType.TOOL: "rawscript", + NodeType.START: "identity", + NodeType.END: "identity", + NodeType.BRANCH: "branchone", + NodeType.LOOP: "forloopflow", + } + + def convert_workflow(self, workflow: WorkflowGraph) -> Dict[str, Any]: + """ + Convert a SyGra WorkflowGraph to OpenFlow format. + + Args: + workflow: SyGra WorkflowGraph object. + + Returns: + Dictionary in OpenFlow format. + """ + modules = self._convert_nodes_to_modules(workflow) + + openflow = { + "summary": workflow.name, + "description": workflow.description or "", + "value": { + "modules": modules, + "failure_module": None, + "preprocessor_module": None, + "same_worker": False, + }, + "schema": self._build_input_schema(workflow), + } + + return openflow + + def convert_from_yaml(self, yaml_path: str) -> Dict[str, Any]: + """ + Convert a SyGra YAML config directly to OpenFlow format. + + Args: + yaml_path: Path to the graph_config.yaml file. + + Returns: + Dictionary in OpenFlow format. + """ + from studio.graph_builder import build_graph_from_yaml + + workflow = build_graph_from_yaml(yaml_path) + return self.convert_workflow(workflow) + + def convert_from_config(self, config: Dict[str, Any]) -> Dict[str, Any]: + """ + Convert a SyGra config dictionary to OpenFlow format. + + Args: + config: SyGra configuration dictionary. + + Returns: + Dictionary in OpenFlow format. + """ + from studio.graph_builder import build_graph_from_config + + workflow = build_graph_from_config(config) + return self.convert_workflow(workflow) + + def _convert_nodes_to_modules(self, workflow: WorkflowGraph) -> List[Dict[str, Any]]: + """Convert SyGra nodes to flow modules.""" + modules = [] + + # Build edge map for determining flow structure + edge_map = self._build_edge_map(workflow) + + # Find the execution order using topological sort + execution_order = self._topological_sort(workflow) + + for node_id in execution_order: + # Skip START and END - they're implicit in Studio + if node_id in ("START", "END"): + continue + + node = next((n for n in workflow.nodes if n.id == node_id), None) + if node is None: + continue + + module = self._convert_node_to_module(node, edge_map, workflow) + if module: + modules.append(module) + + return modules + + def _convert_node_to_module( + self, + node: Any, # WorkflowNode + edge_map: Dict[str, List[Dict[str, Any]]], + workflow: WorkflowGraph + ) -> Optional[Dict[str, Any]]: + """Convert a single SyGra node to a Studio module.""" + + # Check if this node has conditional edges (branching) + outgoing_edges = edge_map.get(node.id, []) + has_conditional = any(e.get("is_conditional") for e in outgoing_edges) + + if has_conditional: + return self._create_branch_module(node, outgoing_edges, workflow) + + # Standard module based on node type + if node.node_type == NodeType.LLM: + return self._create_llm_module(node) + elif node.node_type == NodeType.LAMBDA: + return self._create_lambda_module(node) + elif node.node_type == NodeType.SUBGRAPH: + return self._create_subflow_module(node) + elif node.node_type == NodeType.WEIGHTED_SAMPLER: + return self._create_sampler_module(node) + else: + return self._create_identity_module(node) + + def _create_llm_module(self, node: Any) -> Dict[str, Any]: + """Create a Studio module for an LLM node.""" + # Build the Python script for LLM call + script_content = self._generate_llm_script(node) + + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "rawscript", + "content": script_content, + "language": "python3", + "input_transforms": self._build_input_transforms(node), + }, + } + + def _create_lambda_module(self, node: Any) -> Dict[str, Any]: + """Create a Studio module for a Lambda node.""" + function_path = node.function_path or "" + + script_content = f''' +# Lambda Node: {node.id} +# Function: {function_path} + +def main(**kwargs): + """Execute the lambda function.""" + from sygra.utils import utils + + func = utils.import_class_or_function("{function_path}") + return func(**kwargs) +''' + + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "rawscript", + "content": script_content, + "language": "python3", + "input_transforms": {}, + }, + } + + def _create_subflow_module(self, node: Any) -> Dict[str, Any]: + """Create a Studio module for a Subgraph node.""" + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "flow", + "path": node.subgraph_path or "", + "input_transforms": {}, + }, + } + + def _create_identity_module(self, node: Any) -> Dict[str, Any]: + """Create a Studio identity (pass-through) module.""" + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "identity", + }, + } + + def _create_sampler_module(self, node: Any) -> Dict[str, Any]: + """Create a Studio module for a Weighted Sampler node.""" + # Build attributes info for the script + attributes_str = "{}" + if hasattr(node, 'sampler_config') and node.sampler_config: + import json + attributes_str = json.dumps(node.sampler_config.get('attributes', {})) + + script_content = f''' +# Weighted Sampler Node: {node.id} +# Randomly samples attribute values for workflow variables + +import random +from typing import Dict, Any + +def main(**kwargs) -> Dict[str, Any]: + """Sample random values from configured attributes.""" + attributes = {attributes_str} + + result = {{}} + for attr_name, attr_config in attributes.items(): + values = attr_config.get('values', []) + weights = attr_config.get('weights') + + if values: + if weights and len(weights) == len(values): + result[attr_name] = random.choices(values, weights=weights, k=1)[0] + else: + result[attr_name] = random.choice(values) + + return result +''' + + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "rawscript", + "content": script_content, + "language": "python3", + "input_transforms": {}, + }, + } + + def _create_branch_module( + self, + node: Any, + outgoing_edges: List[Dict[str, Any]], + workflow: WorkflowGraph + ) -> Dict[str, Any]: + """Create a Studio branching module.""" + branches = [] + default_modules = [] + + for edge in outgoing_edges: + if edge.get("is_conditional"): + condition = edge.get("condition", {}) + path_map = condition.get("path_map", {}) + + for result_key, target_node in path_map.items(): + if target_node == "END": + continue + + branch = { + "summary": f"Branch: {result_key}", + "expr": f"result == '{result_key}'", + "modules": [], # Would contain nested modules + } + branches.append(branch) + + return { + "id": node.id, + "summary": node.summary or node.id, + "value": { + "type": "branchone", + "branches": branches, + "default": default_modules, + }, + } + + def _generate_llm_script(self, node: Any) -> str: + """Generate Python script for LLM execution.""" + model_name = node.model.name if node.model else "gpt-4o" + model_params = node.model.parameters if node.model else {} + + # Build prompt template + prompts = [] + if node.prompt: + for msg in node.prompt: + prompts.append(f'{{"role": "{msg.role}", "content": """{msg.content}"""}}') + + prompt_list = ",\n ".join(prompts) + + script = f''' +# LLM Node: {node.id} +# Model: {model_name} + +def main(**state): + """Execute the LLM node.""" + from langchain_openai import ChatOpenAI + from langchain_core.messages import HumanMessage, SystemMessage + + # Initialize model + model = ChatOpenAI( + model="{model_name}", + temperature={model_params.get("temperature", 0.7)}, + ) + + # Build messages from prompts + messages = [ + {prompt_list} + ] + + # Format messages with state variables + formatted_messages = [] + for msg in messages: + content = msg["content"].format(**state) + if msg["role"] == "system": + formatted_messages.append(SystemMessage(content=content)) + else: + formatted_messages.append(HumanMessage(content=content)) + + # Execute LLM call + response = model.invoke(formatted_messages) + + return response.content +''' + return script.strip() + + def _build_input_transforms(self, node: Any) -> Dict[str, Any]: + """Build input transforms for a node.""" + transforms = {} + + # Extract variable references from prompts + if node.prompt: + import re + pattern = r"(? Dict[str, Any]: + """Build JSON schema for workflow inputs.""" + properties = {} + + for var in workflow.state_variables: + properties[var] = { + "type": "string", + "description": f"Input variable: {var}", + } + + return { + "type": "object", + "properties": properties, + "required": workflow.state_variables, + } + + def _build_edge_map(self, workflow: WorkflowGraph) -> Dict[str, List[Dict[str, Any]]]: + """Build a map of node ID to outgoing edges.""" + edge_map: Dict[str, List[Dict[str, Any]]] = {} + + for edge in workflow.edges: + if edge.source not in edge_map: + edge_map[edge.source] = [] + + edge_map[edge.source].append({ + "target": edge.target, + "is_conditional": edge.is_conditional, + "condition": edge.condition.model_dump() if edge.condition else None, + "label": edge.label, + }) + + return edge_map + + def _topological_sort(self, workflow: WorkflowGraph) -> List[str]: + """Perform topological sort on workflow nodes.""" + # Build adjacency list + adjacency: Dict[str, List[str]] = {node.id: [] for node in workflow.nodes} + in_degree: Dict[str, int] = {node.id: 0 for node in workflow.nodes} + + for edge in workflow.edges: + if edge.source in adjacency: + adjacency[edge.source].append(edge.target) + if edge.target in in_degree: + in_degree[edge.target] += 1 + + # Kahn's algorithm + result = [] + queue = [node_id for node_id, degree in in_degree.items() if degree == 0] + + while queue: + current = queue.pop(0) + result.append(current) + + for neighbor in adjacency.get(current, []): + in_degree[neighbor] -= 1 + if in_degree[neighbor] == 0: + queue.append(neighbor) + + return result + + +def convert_sygra_to_openflow(yaml_path: str) -> Dict[str, Any]: + """ + Convenience function to convert SyGra YAML to OpenFlow format. + + Args: + yaml_path: Path to the graph_config.yaml file. + + Returns: + Dictionary in Studio OpenFlow format. + """ + converter = SygraToStudioConverter() + return converter.convert_from_yaml(yaml_path) diff --git a/studio/execution_manager.py b/studio/execution_manager.py new file mode 100644 index 00000000..7f24cedc --- /dev/null +++ b/studio/execution_manager.py @@ -0,0 +1,444 @@ +""" +Execution Manager for SyGra Studio Integration. + +Manages workflow execution with real-time progress tracking, +providing updates for UI visualization. +""" + +import asyncio +import logging +import threading +import uuid +from datetime import datetime +from typing import Any, Callable, Dict, List, Optional + +from studio.models import ( + ExecutionStatus, + NodeExecutionState, + WorkflowExecution, + WorkflowGraph, +) + + +logger = logging.getLogger(__name__) + + +class ExecutionCallback: + """Callbacks for execution events.""" + + def __init__( + self, + on_start: Optional[Callable[[str], None]] = None, + on_node_start: Optional[Callable[[str, str], None]] = None, + on_node_complete: Optional[Callable[[str, str, Any], None]] = None, + on_node_error: Optional[Callable[[str, str, str], None]] = None, + on_complete: Optional[Callable[[str, Any], None]] = None, + on_error: Optional[Callable[[str, str], None]] = None, + ): + """ + Initialize execution callbacks. + + Args: + on_start: Called when execution starts (execution_id). + on_node_start: Called when a node starts (execution_id, node_id). + on_node_complete: Called when a node completes (execution_id, node_id, result). + on_node_error: Called when a node fails (execution_id, node_id, error). + on_complete: Called when execution completes (execution_id, result). + on_error: Called when execution fails (execution_id, error). + """ + self.on_start = on_start + self.on_node_start = on_node_start + self.on_node_complete = on_node_complete + self.on_node_error = on_node_error + self.on_complete = on_complete + self.on_error = on_error + + +class ExecutionManager: + """ + Manages SyGra workflow executions with real-time tracking. + + Provides execution lifecycle management and progress updates + for UI visualization. + """ + + def __init__(self): + """Initialize the execution manager.""" + self._executions: Dict[str, WorkflowExecution] = {} + self._callbacks: Dict[str, ExecutionCallback] = {} + self._lock = threading.Lock() + + def create_execution( + self, + workflow: WorkflowGraph, + input_data: Dict[str, Any], + callback: Optional[ExecutionCallback] = None, + ) -> WorkflowExecution: + """ + Create a new workflow execution. + + Args: + workflow: The workflow graph to execute. + input_data: Input data for the workflow. + callback: Optional callbacks for execution events. + + Returns: + New WorkflowExecution instance. + """ + execution_id = str(uuid.uuid4()) + + execution = WorkflowExecution( + id=execution_id, + workflow_id=workflow.id, + workflow_name=workflow.name, + status=ExecutionStatus.PENDING, + input_data=input_data, + ) + + # Initialize node states + for node in workflow.nodes: + execution.node_states[node.id] = NodeExecutionState( + node_id=node.id, + status=ExecutionStatus.PENDING, + ) + + with self._lock: + self._executions[execution_id] = execution + if callback: + self._callbacks[execution_id] = callback + + return execution + + def get_execution(self, execution_id: str) -> Optional[WorkflowExecution]: + """Get an execution by ID.""" + return self._executions.get(execution_id) + + def list_executions( + self, + workflow_id: Optional[str] = None, + status: Optional[ExecutionStatus] = None, + ) -> List[WorkflowExecution]: + """List executions with optional filtering.""" + executions = list(self._executions.values()) + + if workflow_id: + executions = [e for e in executions if e.workflow_id == workflow_id] + + if status: + executions = [e for e in executions if e.status == status] + + return executions + + def start_execution(self, execution_id: str) -> None: + """Mark an execution as started.""" + execution = self._executions.get(execution_id) + if not execution: + return + + execution.status = ExecutionStatus.RUNNING + execution.started_at = datetime.now() + execution.logs.append(f"[{datetime.now().isoformat()}] Execution started") + + callback = self._callbacks.get(execution_id) + if callback and callback.on_start: + try: + callback.on_start(execution_id) + except Exception as e: + logger.error(f"Error in on_start callback: {e}") + + def start_node(self, execution_id: str, node_id: str) -> None: + """Mark a node as started.""" + execution = self._executions.get(execution_id) + if not execution: + return + + node_state = execution.node_states.get(node_id) + if not node_state: + return + + node_state.status = ExecutionStatus.RUNNING + node_state.started_at = datetime.now() + execution.current_node = node_id + execution.logs.append(f"[{datetime.now().isoformat()}] Node '{node_id}' started") + + callback = self._callbacks.get(execution_id) + if callback and callback.on_node_start: + try: + callback.on_node_start(execution_id, node_id) + except Exception as e: + logger.error(f"Error in on_node_start callback: {e}") + + def complete_node( + self, + execution_id: str, + node_id: str, + result: Any = None, + ) -> None: + """Mark a node as completed.""" + execution = self._executions.get(execution_id) + if not execution: + return + + node_state = execution.node_states.get(node_id) + if not node_state: + return + + node_state.status = ExecutionStatus.COMPLETED + node_state.completed_at = datetime.now() + node_state.result = result + + if node_state.started_at: + duration = (node_state.completed_at - node_state.started_at).total_seconds() + node_state.duration_ms = int(duration * 1000) + + execution.logs.append( + f"[{datetime.now().isoformat()}] Node '{node_id}' completed " + f"(duration: {node_state.duration_ms}ms)" + ) + + callback = self._callbacks.get(execution_id) + if callback and callback.on_node_complete: + try: + callback.on_node_complete(execution_id, node_id, result) + except Exception as e: + logger.error(f"Error in on_node_complete callback: {e}") + + def fail_node( + self, + execution_id: str, + node_id: str, + error: str, + ) -> None: + """Mark a node as failed.""" + execution = self._executions.get(execution_id) + if not execution: + return + + node_state = execution.node_states.get(node_id) + if not node_state: + return + + node_state.status = ExecutionStatus.FAILED + node_state.completed_at = datetime.now() + node_state.error = error + + execution.error_node = node_id + execution.logs.append( + f"[{datetime.now().isoformat()}] Node '{node_id}' failed: {error}" + ) + + callback = self._callbacks.get(execution_id) + if callback and callback.on_node_error: + try: + callback.on_node_error(execution_id, node_id, error) + except Exception as e: + logger.error(f"Error in on_node_error callback: {e}") + + def complete_execution( + self, + execution_id: str, + result: Any = None, + ) -> None: + """Mark an execution as completed.""" + execution = self._executions.get(execution_id) + if not execution: + return + + execution.status = ExecutionStatus.COMPLETED + execution.completed_at = datetime.now() + execution.output_data = result + execution.current_node = None + + if execution.started_at: + duration = (execution.completed_at - execution.started_at).total_seconds() + execution.duration_ms = int(duration * 1000) + + execution.logs.append( + f"[{datetime.now().isoformat()}] Execution completed " + f"(total duration: {execution.duration_ms}ms)" + ) + + callback = self._callbacks.get(execution_id) + if callback and callback.on_complete: + try: + callback.on_complete(execution_id, result) + except Exception as e: + logger.error(f"Error in on_complete callback: {e}") + + def fail_execution( + self, + execution_id: str, + error: str, + ) -> None: + """Mark an execution as failed.""" + execution = self._executions.get(execution_id) + if not execution: + return + + execution.status = ExecutionStatus.FAILED + execution.completed_at = datetime.now() + execution.error = error + + if execution.started_at: + duration = (execution.completed_at - execution.started_at).total_seconds() + execution.duration_ms = int(duration * 1000) + + execution.logs.append( + f"[{datetime.now().isoformat()}] Execution failed: {error}" + ) + + callback = self._callbacks.get(execution_id) + if callback and callback.on_error: + try: + callback.on_error(execution_id, error) + except Exception as e: + logger.error(f"Error in on_error callback: {e}") + + def cancel_execution(self, execution_id: str) -> bool: + """ + Cancel a running execution. + + Returns: + True if cancellation was successful. + """ + execution = self._executions.get(execution_id) + if not execution: + return False + + if execution.status not in (ExecutionStatus.PENDING, ExecutionStatus.RUNNING): + return False + + execution.status = ExecutionStatus.CANCELLED + execution.completed_at = datetime.now() + execution.logs.append( + f"[{datetime.now().isoformat()}] Execution cancelled by user" + ) + + return True + + def add_log(self, execution_id: str, message: str) -> None: + """Add a log message to an execution.""" + execution = self._executions.get(execution_id) + if execution: + execution.logs.append(f"[{datetime.now().isoformat()}] {message}") + + +class SygraExecutionRunner: + """ + Runs SyGra workflows with execution tracking. + + Integrates with SyGra's BaseTaskExecutor while providing + real-time progress updates. + """ + + def __init__(self, execution_manager: ExecutionManager): + """ + Initialize the execution runner. + + Args: + execution_manager: The execution manager for tracking. + """ + self.execution_manager = execution_manager + + async def run_workflow( + self, + execution_id: str, + workflow: WorkflowGraph, + input_data: Dict[str, Any], + max_samples: int = 1, + ) -> Any: + """ + Run a SyGra workflow with tracking. + + Args: + execution_id: The execution ID for tracking. + workflow: The workflow graph to execute. + input_data: Input data for the workflow. + max_samples: Maximum samples to process. + + Returns: + Workflow execution result. + """ + self.execution_manager.start_execution(execution_id) + + try: + # Import SyGra components + from sygra.core.base_task_executor import BaseTaskExecutor + + # Start tracking + self.execution_manager.start_node(execution_id, "START") + self.execution_manager.complete_node(execution_id, "START") + + if not workflow.source_path: + raise ValueError("Workflow source path not available") + + # Create and run executor + self.execution_manager.add_log( + execution_id, + f"Initializing workflow from {workflow.source_path}" + ) + + executor = BaseTaskExecutor( + config=workflow.source_path, + output_path="./output", + max_samples=max_samples, + ) + + # Track each node execution + # Note: This is a simplified approach - ideally we'd hook into + # LangGraph's execution events for real-time node tracking + for node in workflow.nodes: + if node.id in ("START", "END"): + continue + + self.execution_manager.start_node(execution_id, node.id) + + # Run the workflow + result = await asyncio.to_thread( + executor.run, + data=[input_data] if input_data else None, + ) + + # Mark all nodes as completed + for node in workflow.nodes: + if node.id == "END": + continue + + node_state = self.execution_manager.get_execution(execution_id) + if node_state: + ns = node_state.node_states.get(node.id) + if ns and ns.status == ExecutionStatus.RUNNING: + self.execution_manager.complete_node(execution_id, node.id) + + self.execution_manager.start_node(execution_id, "END") + self.execution_manager.complete_node(execution_id, "END") + self.execution_manager.complete_execution(execution_id, result) + + return result + + except Exception as e: + logger.error(f"Workflow execution failed: {e}") + + # Find and mark the current node as failed + execution = self.execution_manager.get_execution(execution_id) + if execution and execution.current_node: + self.execution_manager.fail_node( + execution_id, + execution.current_node, + str(e) + ) + + self.execution_manager.fail_execution(execution_id, str(e)) + raise + 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"sha512-B58NGBEoc8Y9MWWCQGl/gq9xBCe4IiKM0a2x7GZdQKOW5Exr8S1W24J6OgM1njK8xCRGvAJIL/MxXHf6SkmQKQ==", + "resolved": "https://registry.npmjs.org/zimmerframe/-/zimmerframe-1.1.4.tgz", + "version": "1.1.4" + } + }, + "requires": true, + "version": "0.1.0" +} diff --git a/studio/frontend/package.json b/studio/frontend/package.json new file mode 100644 index 00000000..e9aa590a --- /dev/null +++ b/studio/frontend/package.json @@ -0,0 +1,37 @@ +{ + "dependencies": { + "@monaco-editor/loader": "^1.4.0", + "@xyflow/svelte": "^0.1.22", + "chart.js": "^4.4.7", + "d3-dag": "^1.1.0", + "fast-equals": "^5.2.2", + "lucide-svelte": "^0.468.0", + "monaco-editor": "^0.52.2" + }, + "devDependencies": { + "@sveltejs/adapter-static": "^3.0.8", + "@sveltejs/kit": "^2.16.0", + "@sveltejs/vite-plugin-svelte": "^4.0.0", + "@types/node": "^22.10.2", + "autoprefixer": "^10.4.20", + "eslint": "^9.17.0", + "postcss": "^8.4.49", + "svelte": "^5.16.0", + "svelte-check": "^4.1.1", + "tailwindcss": "^3.4.17", + "typescript": "^5.7.2", + "vite": "^5.4.0" + }, + "name": "sygra-workflow-ui", + "private": true, + "scripts": { + "build": "vite build", + "check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json", + "check:watch": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json --watch", + "dev": "vite dev --port 5173", + "lint": "eslint .", + "preview": "vite preview" + }, + "type": "module", + "version": "0.1.0" +} diff --git a/studio/frontend/postcss.config.js b/studio/frontend/postcss.config.js new file mode 100644 index 00000000..0f772168 --- /dev/null +++ b/studio/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {} + } +}; diff --git a/studio/frontend/src/app.d.ts b/studio/frontend/src/app.d.ts new file mode 100644 index 00000000..db1aa5db --- /dev/null +++ b/studio/frontend/src/app.d.ts @@ -0,0 +1,13 @@ +/// + +declare global { + namespace App { + // interface Error {} + // interface Locals {} + // interface PageData {} + // interface PageState {} + // interface Platform {} + } +} + +export {}; diff --git a/studio/frontend/src/app.html b/studio/frontend/src/app.html new file mode 100644 index 00000000..0be59468 --- /dev/null +++ b/studio/frontend/src/app.html @@ -0,0 +1,13 @@ + + + + + + + SyGra Workflow Studio + %sveltekit.head% + + +
%sveltekit.body%
+ + diff --git a/studio/frontend/src/lib/components/builder/GroupSubgraphModal.svelte b/studio/frontend/src/lib/components/builder/GroupSubgraphModal.svelte new file mode 100644 index 00000000..9966df3b --- /dev/null +++ b/studio/frontend/src/lib/components/builder/GroupSubgraphModal.svelte @@ -0,0 +1,284 @@ + + + + + diff --git a/studio/frontend/src/lib/components/builder/RecipePickerModal.svelte b/studio/frontend/src/lib/components/builder/RecipePickerModal.svelte new file mode 100644 index 00000000..7c9e275a --- /dev/null +++ b/studio/frontend/src/lib/components/builder/RecipePickerModal.svelte @@ -0,0 +1,183 @@ + + + + +
dispatch('cancel')}> +
e.stopPropagation()} + > + +
+
+
+ +
+
+

+ Add Subgraph +

+

+ Create from recipe or start empty +

+
+
+ +
+ + +
+ +
+ + + {#if recipeStore.recipes.length > 0} +
+
+ + +
+
+ + +
+ {#if filteredRecipes().length === 0} +
+

No recipes match your search

+
+ {:else} +
+ {#each filteredRecipes() as recipe (recipe.id)} + {@const Icon = categoryIcons[recipe.category]} + + {/each} +
+ {/if} +
+ {:else} + +
+
+ +

+ No recipes in library yet +

+

+ Save subgraphs as recipes to reuse them +

+
+
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/builder/SaveRecipeModal.svelte b/studio/frontend/src/lib/components/builder/SaveRecipeModal.svelte new file mode 100644 index 00000000..ae4ab920 --- /dev/null +++ b/studio/frontend/src/lib/components/builder/SaveRecipeModal.svelte @@ -0,0 +1,269 @@ + + + + +
dispatch('close')}> +
e.stopPropagation()} + > + +
+
+
+ +
+
+

+ Save as Recipe +

+

+ Save this subgraph for reuse in other workflows +

+
+
+ +
+ + +
+ +
+
+ Nodes: + {nodes.length} +
+
+
+ Edges: + {edges.length} +
+ {#if nodeTypeSummary()} +
+
+ {nodeTypeSummary()} +
+ {/if} +
+ + +
+ + +
+ + +
+ + +
+ + +
+ +
+ {#each RECIPE_CATEGORIES as cat} + {@const Icon = categoryIcons[cat.value]} + + {/each} +
+
+ + +
+ + + {#if tags().length > 0} +
+ {#each tags() as tag} + + {tag} + + {/each} +
+ {/if} +
+ + +
+ + +
+ + + {#if error} +
+

{error}

+
+ {/if} +
+ + +
+ + +
+
+
diff --git a/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte b/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte new file mode 100644 index 00000000..b36d5b31 --- /dev/null +++ b/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte @@ -0,0 +1,274 @@ + + + + +{#if isOpen} + + + + +{/if} diff --git a/studio/frontend/src/lib/components/builder/ToolPickerModal.svelte b/studio/frontend/src/lib/components/builder/ToolPickerModal.svelte new file mode 100644 index 00000000..403760a5 --- /dev/null +++ b/studio/frontend/src/lib/components/builder/ToolPickerModal.svelte @@ -0,0 +1,256 @@ + + + + +
dispatch('cancel')}> +
e.stopPropagation()} + > + +
+
+
+ +
+
+

+ Add Tool +

+

+ Select from library or enter path +

+
+
+ +
+ + +
+ + +
+ + + {#if activeTab === 'library'} + + {#if toolStore.tools.length > 0} + +
+
+ + +
+
+ + +
+ {#if filteredTools().length === 0} +
+

No tools match your search

+
+ {:else} +
+ {#each filteredTools() as tool (tool.id)} + {@const Icon = categoryIcons[tool.category]} + + {/each} +
+ {/if} +
+ {:else} + +
+
+ +

+ No tools in library yet +

+

+ Create tools in the Library to reuse them +

+ +
+
+ {/if} + {:else} + +
+
+
+ + +
+ +
+

Enter the Python import path to a tool:

+
    +
  • package.module.tool_function
  • +
  • package.module.ToolClass
  • +
  • package.module (all tools)
  • +
+

+ Functions must be decorated with @tool +

+
+ + +
+
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/builder/UnsavedChangesModal.svelte b/studio/frontend/src/lib/components/builder/UnsavedChangesModal.svelte new file mode 100644 index 00000000..53d7253a --- /dev/null +++ b/studio/frontend/src/lib/components/builder/UnsavedChangesModal.svelte @@ -0,0 +1,76 @@ + + + + +
dispatch('cancel')} + role="dialog" + aria-modal="true" + aria-labelledby="unsaved-changes-title" +> +
e.stopPropagation()} + > + +
+
+ +
+
+

+ Unsaved Changes +

+

+ Your workflow has unsaved changes +

+
+
+ + +
+

+ Would you like to save your work as a draft before leaving? You can continue editing it later. +

+
+ + +
+ + + +
+
+
diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte new file mode 100644 index 00000000..75412bf2 --- /dev/null +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -0,0 +1,1465 @@ + + + + +
+ +
+
+
+
+ +
+ +
+ {#if hasChanges} + + Unsaved changes + + {/if} + {#if lastAutoSave} + + Draft saved {lastAutoSave.toLocaleTimeString()} + + {/if} +
+ +
+ + {#if workflow && (workflow.nodes.length > 2 || workflow.edges.length > 0)} + +
+ {/if} + + {#if selectedNodeIds.length >= 2} + +
+ {/if} + +
+ + +
+
+ +
+ +
+
+ +
+ + + {#if paletteSearch} + + {/if} +
+ + +
+ {#each NODE_CATEGORIES as category} + {@const categoryNodes = groupedNodeTypes()[category.id]} + {#if categoryNodes && categoryNodes.length > 0} +
+ + + + + {#if expandedCategories.has(category.id)} +
+ {#each categoryNodes as nodeType} + {@const Icon = nodeIcons[nodeType.type]} +
handleDragStart(e, nodeType.type)} + ondragend={handleDragEnd} + role="option" + aria-selected={draggedNodeType === nodeType.type} + tabindex="0" + class="flex items-center gap-2.5 p-2 rounded-lg border border-dashed border-gray-200 dark:border-gray-600 hover:border-violet-400 dark:hover:border-violet-500 cursor-grab active:cursor-grabbing transition-colors group" + class:border-violet-500={draggedNodeType === nodeType.type} + class:bg-violet-50={draggedNodeType === nodeType.type} + class:dark:bg-violet-900={draggedNodeType === nodeType.type} + > +
+ +
+
+
+ {nodeType.label} +
+
+ {nodeType.description} +
+
+ +
+ {/each} +
+ {/if} +
+ {/if} + {/each} +
+ + + {#if paletteSearch && filteredNodeTypes().length === 0} +
+ +

No nodes match "{paletteSearch}"

+
+ {/if} + + +
+

+ Tips +

+
+

โ€ข Tool โ†’ LLM/Agent: Connect tools to AI nodes

+

โ€ข Agent: ReAct agent with tool calling

+

โ€ข Connect by dragging handle to handle

+

โ€ข โŒ˜/Ctrl+Click to multi-select

+

โ€ข Delete/Backspace to delete selected

+

โ€ข โŒ˜G to group as subgraph

+

โ€ข โŒ˜Z to undo

+
+
+
+
+ + +
+ {#if workflow} + + + + { + const nodeType = NODE_TYPES.find(t => t.type === node.type); + return nodeType?.color ?? '#6b7280'; + }} + bgColor={isDarkMode ? '#1e293b' : '#ffffff'} + maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} + maskStrokeColor={isDarkMode ? '#475569' : '#cbd5e1'} + maskStrokeWidth={1} + pannable={true} + zoomable={true} + /> + + {/if} + + + {#if draggedNodeType} +
+
+ Drop to add {NODE_TYPES.find(t => t.type === draggedNodeType)?.label} node +
+
+ {/if} + + + {#if selectedNodeIds.length >= 2 || selectedEdgeIds.length > 0} + {@const totalSelected = selectedNodeIds.length + selectedEdgeIds.length} + {@const canDelete = selectedNodeIds.filter(id => id !== 'START' && id !== 'END').length > 0 || selectedEdgeIds.length > 0} +
+
+ + {#if selectedNodeIds.length > 0 && selectedEdgeIds.length > 0} + {selectedNodeIds.length} nodes, {selectedEdgeIds.length} edges + {:else if selectedNodeIds.length > 0} + {selectedNodeIds.length} nodes selected + {:else} + {selectedEdgeIds.length} edge{selectedEdgeIds.length > 1 ? 's' : ''} selected + {/if} +
+
+ {#if selectedNodeIds.length >= 2 && canGroupNodes()} + +
+ {/if} + {#if canDelete} + + {/if} + Esc to clear +
+ {/if} +
+
+
+ + +{#if showGroupModal && workflow} + showGroupModal = false} + /> +{/if} + + +{#if showRecipeModal} + { + showRecipeModal = false; + recipeNodes = []; + recipeEdges = []; + recipeSuggestedName = ''; + }} + /> +{/if} + + +{#if showRecipePicker} + showRecipePicker = false} + /> +{/if} + + + showSaveModal = false} +/> + + +{#if showResetConfirm} + +{/if} diff --git a/studio/frontend/src/lib/components/code/ExecutionOutputPanel.svelte b/studio/frontend/src/lib/components/code/ExecutionOutputPanel.svelte new file mode 100644 index 00000000..75ad6421 --- /dev/null +++ b/studio/frontend/src/lib/components/code/ExecutionOutputPanel.svelte @@ -0,0 +1,530 @@ + + +
+ +
+
+ + Output + {#if executionId} + ({executionId}) + {/if} +
+ +
+ + {#if isPaused} +
+ + + Paused + + + + + +
+ {/if} + + +
+ {#if status === 'running'} + + {:else if status === 'completed'} + + {:else if status === 'failed'} + + {:else if status === 'cancelled'} + + {:else} + + {/if} + {status} +
+ + {#if isRunning} + + {/if} + + + + +
+
+ + +
+ +
+ {#if output.length === 0} +
+ {#if status === 'idle'} + Click "Run" to execute the code + {:else if status === 'running'} + Waiting for output... + {:else} + No output + {/if} +
+ {:else} + {#each output as line} + {#if line.type === 'stdout'} +
{line.content}
+ {:else if line.type === 'stderr'} +
{line.content}
+ {:else if line.type === 'debug'} +
{line.content}
+ {:else if line.type === 'error'} +
+ [ERROR] {line.content} +
+ {:else if line.type === 'status'} +
+ [STATUS] {line.status} + {#if line.error} + - {line.error} + {/if} +
+ {/if} + {/each} + {/if} + + {#if error && status !== 'running'} +
+ {error} +
+ {/if} + + {#if isPaused && debugVariables.length > 0} +
+ + {debugVariables.length} variables available. Switch to Code tab to view variables and highlighted line. +
+ {/if} +
+ + +
+
diff --git a/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte new file mode 100644 index 00000000..b899ebe2 --- /dev/null +++ b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte @@ -0,0 +1,1234 @@ + + +
+ + {#if !isCollapsed} + + {/if} + + +
+
+ +
+
+ + Code Panel +
+ +
+ + + {#if !isCollapsed} +
+ + + +
+ + + {#if activeTab === 'code' && codeFileList.length > 1} + + {/if} + + + {#if (activeTab === 'yaml' && yamlDirty) || (activeTab === 'code' && codeDirty)} + + {/if} + + + {#if activeTab === 'code' && codeFileList.length > 0} +
+ {#if isDebugPaused} + +
+ + + + +
+ +
+ {:else if isRunning} + + {:else} + + + {/if} + +
+ {/if} + {/if} +
+ + + {#if !isCollapsed} +
+ + {#if activeTab === 'yaml' && yamlPath} + + {yamlPath.split('/').slice(-2).join('/')} + + {:else if activeTab === 'code' && codeFiles[selectedCodeFile]?.path} + + {codeFiles[selectedCodeFile]?.path.split('/').slice(-2).join('/')} + + {/if} + + + + + + + + +
+ + + +
+ {/if} +
+ + + {#if !isCollapsed && showArgsInput && activeTab === 'code'} +
+ + + +
+ {/if} + + + {#if !isCollapsed} +
+ + {#if showFileSidebar && referencedFiles.length > 0 && (activeTab === 'yaml' || activeTab === 'code')} +
+ +
+ References + +
+ + +
+ {#each referencedFiles as ref} + + {/each} +
+
+ {:else if !showFileSidebar && referencedFiles.length > 0 && (activeTab === 'yaml' || activeTab === 'code')} + + + {/if} + + +
+ {#if activeTab === 'yaml'} + {#if yamlLoading} +
+
+ + Loading YAML... +
+
+ {:else if yamlError} +
+
+

Error loading YAML

+

{yamlError}

+
+
+ {:else} + saveYaml()} + /> + {/if} + {:else if activeTab === 'code'} + {#if codeLoading} +
+
+ + Loading code... +
+
+ {:else if codeError} +
+
+

Error loading code

+

{codeError}

+
+
+ {:else if codeFileList.length === 0} +
+
+ +

No Python files found

+

This workflow has no task_executor.py or other Python files

+
+
+ {:else} + +
+ + {#if isDebugPaused} +
+ +
+ Variables + {#if currentDebugLine} + + Line {currentDebugLine} + + {/if} +
+
+ {#if debugVariables.length === 0} +
+ + Loading variables... +
+ {:else} + {#each Object.entries(groupedVariables) as [scope, vars]} +
+ +
+ + {scope} +
+ + {#each vars as variable} + {@const varKey = `${scope}:${variable.name}`} + {@const hasChildren = (variable.variablesReference ?? 0) > 0} + {@const isExpanded = expandedVars.has(varKey)} + {@const isLoading = loadingVars.has(variable.variablesReference ?? 0)} +
+ +
hasChildren && toggleVarExpand(varKey, variable.variablesReference ?? 0)} + > + + + {#if hasChildren} + {#if isLoading} + + {:else if isExpanded} + + {:else} + + {/if} + {/if} + + + {variable.name} + = + + + {variable.value.length > 50 ? variable.value.slice(0, 50) + '...' : variable.value} + + {#if variable.type} + {variable.type} + {/if} +
+ + {#if isExpanded && hasChildren && childVariables[variable.variablesReference ?? 0]} + {#each childVariables[variable.variablesReference ?? 0] as child} + {@const childKey = `${variable.variablesReference}:${child.name}`} + {@const childHasChildren = (child.variablesReference ?? 0) > 0} + {@const childIsExpanded = expandedVars.has(childKey)} + {@const childIsLoading = loadingVars.has(child.variablesReference ?? 0)} +
childHasChildren && toggleVarExpand(childKey, child.variablesReference ?? 0)} + > + + {#if childHasChildren} + {#if childIsLoading} + + {:else if childIsExpanded} + + {:else} + + {/if} + {/if} + + {child.name} + = + + {child.value.length > 40 ? child.value.slice(0, 40) + '...' : child.value} + + {#if child.type} + {child.type} + {/if} +
+ + {#if childIsExpanded && childHasChildren && childVariables[child.variablesReference ?? 0]} + {#each childVariables[child.variablesReference ?? 0] as grandchild} +
+ + {grandchild.name} + = + + {grandchild.value.length > 30 ? grandchild.value.slice(0, 30) + '...' : grandchild.value} + +
+ {/each} + {/if} + {/each} + {/if} +
+ {/each} +
+ {/each} + {/if} +
+
+ {/if} + + +
+ { breakpoints = e.detail; }} + on:change={(e) => { + if (codeFiles[selectedCodeFile]) { + codeFiles[selectedCodeFile].content = e.detail; + } + }} + on:save={() => saveCode()} + /> +
+
+ {/if} + {/if} + + +
+ +
+
+
+ {/if} +
+ + diff --git a/studio/frontend/src/lib/components/common/ConfirmModal.svelte b/studio/frontend/src/lib/components/common/ConfirmModal.svelte new file mode 100644 index 00000000..b9ec433d --- /dev/null +++ b/studio/frontend/src/lib/components/common/ConfirmModal.svelte @@ -0,0 +1,111 @@ + + + + +
dispatch('cancel')} +> +
e.stopPropagation()} + > + +
+
+
+ +
+

+ {title} +

+
+ +
+ + +
+

+ {message} +

+
+ + +
+ + +
+
+
diff --git a/studio/frontend/src/lib/components/common/ConfirmationModal.svelte b/studio/frontend/src/lib/components/common/ConfirmationModal.svelte new file mode 100644 index 00000000..f3350aad --- /dev/null +++ b/studio/frontend/src/lib/components/common/ConfirmationModal.svelte @@ -0,0 +1,113 @@ + + + + + + +
dispatch('cancel')} + role="presentation" +> +
e.stopPropagation()} + role="dialog" + aria-modal="true" + aria-labelledby="confirmation-title" + > + +
+
+ +
+
+

+ {title} +

+

+ {message} +

+
+ +
+ + +
+ + +
+
+
diff --git a/studio/frontend/src/lib/components/common/CustomSelect.svelte b/studio/frontend/src/lib/components/common/CustomSelect.svelte new file mode 100644 index 00000000..27a93b63 --- /dev/null +++ b/studio/frontend/src/lib/components/common/CustomSelect.svelte @@ -0,0 +1,242 @@ + + +
+ + + + + {#if isOpen} +
+ + {#if searchable} +
+
+ + + {#if searchQuery} + + {/if} +
+
+ {/if} + + +
+ {#if filteredOptions.length === 0} +
+ No options found +
+ {:else} + {#each filteredOptions as opt, index} + + {/each} + {/if} +
+
+ {/if} +
diff --git a/studio/frontend/src/lib/components/common/DataTableViewer.svelte b/studio/frontend/src/lib/components/common/DataTableViewer.svelte new file mode 100644 index 00000000..702b8379 --- /dev/null +++ b/studio/frontend/src/lib/components/common/DataTableViewer.svelte @@ -0,0 +1,354 @@ + + +
+ +
+
+
+ + {title} + {#if columns().length > 0} + + {columns().length} columns + + {/if} +
+ +
+ + {#if data && data.length > 5} +
+ + +
+ {/if} + + + {#if showViewToggle} +
+
+ + + {#if columns().length > 5} +
+ + View all {columns().length} columns + +
+ {#each columns() as col} + + {col} + + {/each} +
+
+ {/if} + {/if} +
+ + + {#if totalPages > 1 && !loading} +
+
+ Page {currentPage + 1} of {totalPages} +
+
+ + + + + {#each Array(Math.min(5, totalPages)) as _, idx} + {@const pageNum = totalPages <= 5 ? idx : Math.max(0, Math.min(currentPage - 2, totalPages - 5)) + idx} + {#if pageNum < totalPages} + + {/if} + {/each} + + + +
+
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/DataSourcePanel.svelte b/studio/frontend/src/lib/components/data/DataSourcePanel.svelte new file mode 100644 index 00000000..5e22e7ba --- /dev/null +++ b/studio/frontend/src/lib/components/data/DataSourcePanel.svelte @@ -0,0 +1,849 @@ + + +{#if dataConfig && source} +
+ + + + +
+ + + +
+ {#if isEditing} + + + {:else} + + {/if} + +
+
+ + {#if isExpanded} +
+ + {#if source.type === 'disk'} + +
+ {#if isEditing} + +
+ + +
+
+ + +
+ {:else} + + {#if source.file_path} +
+ +
+
File Path
+
+ + {source.file_path} + + +
+
+
+ {/if} + +
+ {#if source.file_format || getFileExtension(source.file_path)} +
+ + Format: + + {source.file_format || getFileExtension(source.file_path)} + +
+ {/if} + {#if source.encoding && source.encoding !== 'utf-8'} +
+ + Encoding: + {source.encoding} +
+ {/if} +
+ {/if} +
+ + {:else if source.type === 'hf'} + +
+ {#if isEditing} + +
+ + +
+
+
+ + +
+
+ + +
+
+ + {:else} + + {#if source.repo_id} +
+ +
+
Repository ID
+ + {source.repo_id} + +
+
+ {/if} + +
+ {#if source.config_name} +
+ + Config: + {source.config_name} +
+ {/if} + {#if source.split} +
+ + Split: + + {Array.isArray(source.split) ? source.split.join(', ') : source.split} + +
+ {/if} + {#if source.streaming} + + Streaming + + {/if} +
+ {/if} +
+ + {:else if source.type === 'servicenow'} + +
+ {#if isEditing} + +
+ + +
+
+ + +
+
+ + +
+
+
+ + +
+
+ + +
+
+ {:else} + + {#if source.table} +
+ +
+
Table
+ + {source.table} + +
+ + {/if} + + {#if source.query} +
+ +
+
Query
+ + {source.query} + +
+
+ {/if} + + {#if source.fields && source.fields.length > 0} +
+ +
+
Fields ({source.fields.length})
+
+ {#each source.fields.slice(0, 10) as field} + + {field} + + {/each} + {#if source.fields.length > 10} + + +{source.fields.length - 10} more + + {/if} +
+
+
+ {/if} + +
+ {#if source.limit} +
+ + Limit: + {source.limit.toLocaleString()} +
+ {/if} + {#if source.batch_size} +
+ + Batch: + {source.batch_size} +
+ {/if} + {#if source.order_by} +
+ + Order: + {source.order_by} +
+ {/if} +
+ {/if} + + {/if} + + + {#if source.transformations?.length > 0 || isEditing} +
+
+ + {#if isEditing} + + {/if} +
+ + {#if showTransformations} +
+ {#if isEditing} + + {#each editTransformations as transform, index} +
+
+
+ + updateTransformPath(index, e.currentTarget.value)} + placeholder="module.path.ClassName" + class="w-full px-2 py-1.5 text-sm font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> +
+ +
+ +
+ + updateTransformParams(index, e.currentTarget.value)} + placeholder={"{}"} + class="w-full px-2 py-1.5 text-sm font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> +
+ + + + + {#if expandedTransform === index} + + {/if} +
+ {/each} + + {#if editTransformations.length === 0} +
+ No transformations configured. Click "Add" to create one. +
+ {/if} + {:else} + + {#each source.transformations || [] as transform, index} +
+
+ + + {transform.transform} + +
+ {#if transform.params && Object.keys(transform.params).length > 0} +
+ Params: {JSON.stringify(transform.params)} +
+ {/if} + + + + + {#if expandedTransform === index} +
+ +
+ {/if} +
+ {/each} + {/if} +
+ {/if} +
+ {/if} + + + {#if outputConfig} + {@const outInfo = getOutputTypeInfo(outputConfig.type)} + {@const OutIcon = outInfo.icon} +
+
+ Output +
+
+
+ + {outInfo.label} +
+ {#if outputConfig.file_path} + + {outputConfig.file_path} + + {/if} +
+
+ {/if} + + + {#if sampleData.length > 0} +
+ + + {#if showSampleData} +
+ {#each sampleData.slice(0, 3) as record, i} +
+ + + Record {i + 1} + +
{JSON.stringify(record, null, 2)}
+
+ {/each} +
+ {/if} +
+ {/if} + + {/if} + +{/if} diff --git a/studio/frontend/src/lib/components/editor/MonacoEditor.svelte b/studio/frontend/src/lib/components/editor/MonacoEditor.svelte new file mode 100644 index 00000000..615326d4 --- /dev/null +++ b/studio/frontend/src/lib/components/editor/MonacoEditor.svelte @@ -0,0 +1,357 @@ + + +
+ {#if !isInitialized} +
+ Loading editor... +
+ {/if} +
+ {#if placeholder && !value && isInitialized} +
+ {placeholder} +
+ {/if} +
+ + diff --git a/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte new file mode 100644 index 00000000..b9bfdd90 --- /dev/null +++ b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte @@ -0,0 +1,157 @@ + + +
+ + {#if expanded} + + {/if} + +
+
+ +
+
+ + {execution.status} + +
+ + + {#if totalNodes > 0} +
+ {completedNodes} / {totalNodes} nodes +
+ {/if} + + + {#if execution.duration_ms} +
+ {(execution.duration_ms / 1000).toFixed(2)}s +
+ {/if} +
+ +
+ {#if execution.status === 'completed' || execution.status === 'failed'} + + {/if} + + +
+
+ + + {#if expanded} +
+
+ {#if execution.logs.length > 0} + {#each execution.logs as log} +
{log}
+ {/each} + {:else} +
No logs available
+ {/if} +
+
+ {/if} +
diff --git a/studio/frontend/src/lib/components/execution/ResultsModal.svelte b/studio/frontend/src/lib/components/execution/ResultsModal.svelte new file mode 100644 index 00000000..351e798a --- /dev/null +++ b/studio/frontend/src/lib/components/execution/ResultsModal.svelte @@ -0,0 +1,280 @@ + + + + +
dispatch('close')}> +
e.stopPropagation()} + > + +
+
+
+ +
+
+

+ Execution Results +

+
+ + {execution.workflow_name || 'Workflow'} + + โ€ข + + {formatDate(execution.started_at)} + +
+
+
+
+ + + {statusConfig().label} + + +
+
+ + +
+ +
+
+
+ + Duration +
+
+ {formatDuration(execution.duration_ms)} +
+
+
+
+ + Records +
+
+ {recordCount()} +
+
+
+
+ + Nodes +
+
+ {Object.keys(execution.node_states).length} +
+
+
+
+ + Started +
+
+ {formatDate(execution.started_at)} +
+
+
+ + + {#if execution.output_file} +
+
+ + Output File +
+
+ + {execution.output_file} + +
+
+ {/if} + + + {#if execution.error} +
+
+ + Error +
+
{execution.error}
+
+ {/if} + + + {#if execution.output_data} +
+
+
+ + Output Data +
+
+ + +
+
+
+
{JSON.stringify(execution.output_data, null, 2)}
+
+
+ {/if} +
+ + +
+ + +
+
+
diff --git a/studio/frontend/src/lib/components/execution/RunDetailsModal.svelte b/studio/frontend/src/lib/components/execution/RunDetailsModal.svelte new file mode 100644 index 00000000..d4efaec9 --- /dev/null +++ b/studio/frontend/src/lib/components/execution/RunDetailsModal.svelte @@ -0,0 +1,709 @@ + + + + +
dispatch('close')}> +
e.stopPropagation()} + > + +
+
+
+ +
+
+

+ Run Details +

+

+ {execution.id.slice(0, 8)} + ยท + {execution.status} +

+
+
+ +
+ + +
+ {#each [ + { id: 'overview', label: 'Overview', icon: Activity }, + { id: 'output', label: 'Output Data', icon: Database }, + { id: 'logs', label: 'Logs', icon: FileText }, + { id: 'metadata', label: 'Metadata', icon: Layers } + ] as tab} + + {/each} +
+ + +
+ {#if activeTab === 'overview'} + +
+ +
+

+ Run Information +

+ +
+
+ +
+
Execution ID
+
+ {execution.id} + +
+
+
+ +
+ +
+
Workflow
+
+ {execution.workflow_name || execution.workflow_id} +
+
+
+ +
+ +
+
Started
+
+ {formatDate(execution.started_at)} +
+
+
+ +
+ +
+
Duration
+
+ {formatDuration(execution.duration_ms)} +
+
+
+ + {#if execution.output_file} +
+ +
+
Output File
+
+ {execution.output_file} +
+
+
+ {/if} +
+
+ + +
+

+ Node Execution +

+ +
+ {#each Object.entries(execution.node_states) as [nodeId, state]} + {@const nodeStatus = statusConfig[state.status] || statusConfig.pending} + {@const NodeIcon = nodeStatus.icon} +
+ +
+
+ {nodeId} +
+ {#if state.duration_ms} +
+ {formatDuration(state.duration_ms)} +
+ {/if} +
+ + {state.status} + +
+ {/each} +
+ + {#if execution.error} +
+
Error
+
+ {execution.error} +
+
+ {/if} +
+
+ + {:else if activeTab === 'output'} + +
+ {#if execution.output_data} +
+
+ Showing {Math.min(5, outputCount())} of {outputCount()} records +
+ +
+ + +
+ {#each (Array.isArray(sampleOutput()) ? sampleOutput() : [sampleOutput()]) as record, i} +
+
+ + Record {i + 1} + +
+
+ {#if typeof record === 'object' && record !== null} +
+ {#each Object.entries(record) as [key, value]} +
+
+ {key} +
+
+ {#if typeof value === 'object'} +
+ + {Array.isArray(value) ? `[${value.length} items]` : '{object}'} + +
{JSON.stringify(value, null, 2)}
+
+ {:else if typeof value === 'string' && value.length > 200} +
+ + {value.slice(0, 100)}... + +
+ {value} +
+
+ {:else} + {String(value)} + {/if} +
+
+ {/each} +
+ {:else} +
{JSON.stringify(record, null, 2)}
+ {/if} +
+
+ {/each} +
+ {:else} +
+ +

No output data available

+
+ {/if} +
+ + {:else if activeTab === 'logs'} + +
+ {#if execution.logs.length > 0} + {#each execution.logs as log} +
{log}
+ {/each} + {:else} +
+ +

No logs captured

+
+ {/if} +
+ + {:else if activeTab === 'metadata'} + + {#if metadata} +
+ +
+ +
+
+ + Total Cost +
+
+ {formatCost(metadata.aggregate_statistics.cost.total_cost_usd)} +
+
+ {formatCost(metadata.aggregate_statistics.cost.average_cost_per_record)}/record +
+
+ + +
+
+ + Total Tokens +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_tokens)} +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_prompt_tokens)} prompt ยท {formatNumber(metadata.aggregate_statistics.tokens.total_completion_tokens)} completion +
+
+ + +
+
+ + Success Rate +
+
+ {formatPercent(metadata.aggregate_statistics.records.success_rate)} +
+
+ {metadata.aggregate_statistics.records.total_processed} processed ยท {metadata.aggregate_statistics.records.total_failed} failed +
+
+ + +
+
+ + API Requests +
+
+ {metadata.aggregate_statistics.requests.total_requests} +
+
+ {metadata.aggregate_statistics.requests.total_retries} retries ยท {metadata.aggregate_statistics.requests.total_failures} failures +
+
+
+ + +
+ +
+

+ + Execution Details +

+
+
+ Task: + {metadata.execution.task_name} +
+
+ Run Name: + {metadata.execution.run_name} +
+
+ Duration: + {metadata.execution.timing.duration_seconds.toFixed(2)}s +
+
+ Batch Size: + {metadata.execution.batch_size} +
+ {#if metadata.execution.git} +
+ Git: + + {metadata.execution.git.branch} @ {metadata.execution.git.commit_hash.slice(0, 7)} + {#if metadata.execution.git.is_dirty} + * + {/if} + +
+ {/if} +
+
+ + +
+

+ + Dataset +

+
+
+ Source: + + {metadata.dataset.source_path} + +
+
+ Type: + + {metadata.dataset.source_type} + +
+
+ Records: + {metadata.dataset.num_records_processed} +
+
+ Start Index: + {metadata.dataset.start_index} +
+
+ Hash: + {metadata.dataset.dataset_hash} +
+
+
+
+ + + {#if Object.keys(metadata.models).length > 0} +
+

+ + Model Performance +

+
+ {#each Object.entries(metadata.models) as [modelName, model]} + {@const latencyRange = model.performance.latency_statistics.max - model.performance.latency_statistics.min} + {@const p50Pct = latencyRange > 0 ? ((model.performance.latency_statistics.p50 - model.performance.latency_statistics.min) / latencyRange) * 100 : 50} + {@const p95Pct = latencyRange > 0 ? ((model.performance.latency_statistics.p95 - model.performance.latency_statistics.min) / latencyRange) * 100 : 95} +
+
+
+ {modelName} + {model.model_type} +
+
+ {formatCost(model.cost.total_cost_usd)} + {formatNumber(model.token_statistics.total_tokens)} tokens +
+
+
+
+
Requests
+
{model.performance.total_requests}
+
+
+
Avg Latency
+
{formatLatency(model.performance.average_latency_seconds)}
+
+
+
Throughput
+
{model.performance.tokens_per_second.toFixed(1)} tok/s
+
+
+
P95 Latency
+
{formatLatency(model.performance.latency_statistics.p95)}
+
+
+ +
+
+ Latency Distribution: + min {formatLatency(model.performance.latency_statistics.min)} + โ†’ + p50 {formatLatency(model.performance.latency_statistics.p50)} + โ†’ + max {formatLatency(model.performance.latency_statistics.max)} +
+
+
+
+
+
+
+
+
+ โ‰คp50 + p50-p95 + >p95 +
+
+
+ {/each} +
+
+ {/if} + + + {#if Object.keys(metadata.nodes).length > 0} +
+

+ + Node Execution Stats +

+
+
+ + + + + + + + + + + + {#each Object.entries(metadata.nodes) as [nodeName, node]} + + + + + + + + + {/each} + +
NodeTypeExecutionsAvg LatencyP95Tokens
{nodeName} + + {node.node_type} + + {node.total_executions}{formatLatency(node.average_latency_seconds)}{formatLatency(node.latency_statistics.p95)} + {#if node.token_statistics} + {formatNumber(node.token_statistics.total_tokens)} + {:else} + - + {/if} +
+
+
+ {/if} + + +
+ + + Environment & Raw Data + +
+
+
+
Environment
+
+
+ Python: + {metadata.execution.environment.python_version.split(' ')[0]} +
+
+ SyGra: + {metadata.execution.environment.sygra_version} +
+
+
+
+
Metadata File
+
+ {execution.metadata_file || 'N/A'} +
+
+
+
{JSON.stringify(metadata, null, 2)}
+
+
+
+ {:else} + +
+
+ +

No metadata available

+

Metadata is collected when runs complete with metadata enabled

+
+ +
+
+
Input Data
+
{JSON.stringify(execution.input_data, null, 2)}
+
+
+
Execution Timeline
+
+
+ Started: + {formatDate(execution.started_at)} +
+
+ Completed: + {formatDate(execution.completed_at)} +
+
+ Duration: + {formatDuration(execution.duration_ms)} +
+
+
+
+
+ {/if} + {/if} +
+ + +
+ +
+
+
diff --git a/studio/frontend/src/lib/components/execution/RunWorkflowModal.svelte b/studio/frontend/src/lib/components/execution/RunWorkflowModal.svelte new file mode 100644 index 00000000..20853c7b --- /dev/null +++ b/studio/frontend/src/lib/components/execution/RunWorkflowModal.svelte @@ -0,0 +1,639 @@ + + + + +
dispatch('close')}> +
e.stopPropagation()} + > + +
+
+

+ Run Workflow +

+

{workflowName}

+
+ +
+ + +
+ + {#if dataSource() || nodeCount > 0} +
+
+
+ + {#if isHuggingFace()} +
+ ๐Ÿค— +
+ {:else if isServiceNow()} +
+ +
+ {:else if isLocalFile()} +
+ +
+ {:else} +
+ +
+ {/if} + {sourceTypeLabel()} +
+ {#if nodeCount > 0} +
+ + {nodeCount} nodes +
+ {/if} +
+ + + {#if dataSource()} +
+ + {#if isHuggingFace()} + {#if dataSource()?.repo_id} + + {/if} + {#if dataSource()?.config_name} +
+ Config: + {dataSource()?.config_name} +
+ {/if} + {#if dataSource()?.split} +
+ Split: + {dataSource()?.split} +
+ {/if} + + {:else if isLocalFile()} + {#if displayPath()} +
+ Path: + + {displayPath()} + +
+ {/if} + {#if fileFormat()} +
+ Format: + {fileFormat()} +
+ {/if} + + {:else if isServiceNow()} + {#if dataSource()?.instance} +
+ Instance: + {dataSource()?.instance} +
+ {/if} + {#if dataSource()?.table_name} +
+ Table: + {dataSource()?.table_name} +
+ {/if} + {/if} + + + {#if dataSource()?.transformations && Array.isArray(dataSource()?.transformations) && dataSource()?.transformations.length > 0} +
+ Transform: + + {dataSource()?.transformations.length} transformation{dataSource()?.transformations.length > 1 ? 's' : ''} applied + +
+ {/if} +
+ + + + + {#if showDataPreview} +
+ +
+ {/if} + {:else} +

No data source configured. This workflow may use inline data or weighted samplers.

+ {/if} +
+ {/if} + + +
+
+ + Execution Parameters +
+ +
+
+ + +

How many records to process

+
+
+ + +

Skip first N records (default: 0)

+
+
+
+ + +
+
+ + Run Identification +
+ +
+ + +

Leave empty for auto-generated name with timestamp

+
+
+ + + + + {#if showAdvanced} +
+ +
+
+ + +

Records per batch

+
+
+ + +

Records between saves

+
+
+ + +
+ + +
+ + +
+ + + + +
+ + +
+ +
+ + + +
+
+ + +
+ + + {#if runArgsError} +

{runArgsError}

+ {/if} +
+
+ {/if} +
+ + +
+ + +
+
+
diff --git a/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte new file mode 100644 index 00000000..f4c4ec0d --- /dev/null +++ b/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte @@ -0,0 +1,658 @@ + + + + + +{#if showDeleteConfirm} + +{/if} diff --git a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte new file mode 100644 index 00000000..d0ffe1e1 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte @@ -0,0 +1,2554 @@ + + + + + +{#if showDeleteConfirm} + +{/if} + + +{#if showToolPicker} + { + const { importPath } = e.detail; + if (importPath && !editTools.includes(importPath)) { + editTools = [...editTools, importPath]; + markChanged(); + } + showToolPicker = false; + }} + on:cancel={() => showToolPicker = false} + /> +{/if} diff --git a/studio/frontend/src/lib/components/graph/SygraFlow.svelte b/studio/frontend/src/lib/components/graph/SygraFlow.svelte new file mode 100644 index 00000000..5f992332 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/SygraFlow.svelte @@ -0,0 +1,393 @@ + + +
+ { + console.log('SvelteFlow on:nodeclick fired:', event.detail.node); + dispatch('nodeSelect', event.detail.node.id); + dispatch('edgeSelect', null); + }} + on:edgeclick={(event) => { + console.log('SvelteFlow on:edgeclick fired:', event.detail); + const edge = event.detail.edge; + if (edge) { + console.log('Edge data:', edge.data); + // Dispatch nodeSelect FIRST to clear node, then edgeSelect + dispatch('nodeSelect', ''); + dispatch('edgeSelect', getEdgeSelectData(edge)); + } + }} + on:paneclick={() => { + console.log('SvelteFlow on:paneclick fired'); + dispatch('nodeSelect', ''); + dispatch('edgeSelect', null); + }} + > + + + + + + + + nodeColors[node.type ?? 'llm'] ?? '#6b7280'} + bgColor={isDarkMode ? '#1e293b' : '#ffffff'} + maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} + maskStrokeColor={isDarkMode ? '#475569' : '#cbd5e1'} + maskStrokeWidth={1} + pannable={true} + zoomable={true} + /> + +
diff --git a/studio/frontend/src/lib/components/graph/WorkflowBoundary.svelte b/studio/frontend/src/lib/components/graph/WorkflowBoundary.svelte new file mode 100644 index 00000000..ae3dbe9f --- /dev/null +++ b/studio/frontend/src/lib/components/graph/WorkflowBoundary.svelte @@ -0,0 +1,38 @@ + + + +{#if bounds} +
+ + Workflow + +
+{/if} diff --git a/studio/frontend/src/lib/components/graph/renderers/edges/SygraEdge.svelte b/studio/frontend/src/lib/components/graph/renderers/edges/SygraEdge.svelte new file mode 100644 index 00000000..28a85782 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/edges/SygraEdge.svelte @@ -0,0 +1,57 @@ + + + + +{#if data?.label} + +
+ + {data.label} + +
+
+{/if} diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/AgentNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/AgentNode.svelte new file mode 100644 index 00000000..74d85b14 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/AgentNode.svelte @@ -0,0 +1,92 @@ + + +
+ +
+
+ +
+
+
+ {data.label || 'Agent'} +
+ {#if data.model?.name} +
+ {data.model.name} +
+ {/if} +
+
+ + + {#if data.tools && data.tools.length > 0} +
+ + + {data.tools.length} tool{data.tools.length !== 1 ? 's' : ''} + +
+ {:else} +
+ No tools attached +
+ {/if} + + + {#if data.status} +
+ {data.status} +
+ {/if} +
+ + + + + + + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/ConnectorNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/ConnectorNode.svelte new file mode 100644 index 00000000..8e8eeaa8 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/ConnectorNode.svelte @@ -0,0 +1,25 @@ + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte new file mode 100644 index 00000000..cb72b6a5 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte @@ -0,0 +1,175 @@ + + + 0 ? `${sources().length} source(s)` : 'Configure data'} + icon={sources().length > 1 ? Layers : SourceIcon()} + color="#0ea5e9" + executionState={data.executionState} + isCurrentNode={data.isCurrentNode} + showTargetHandle={false} +> +
+ + {#if sources().length > 0} +
+
+ + Sources +
+ {#each sources() as src} + {@const Icon = getSourceIcon(src)} +
+ + {getSourceLabel(src)} + {#if src.join_type && src.join_type !== 'primary'} + + {src.join_type} + + {/if} +
+ {/each} +
+ {/if} + + + {#if sinks().length > 0} +
+
+ + Sinks +
+ {#each sinks() as sink} + {@const SinkIcon = getSinkIcon(sink)} +
+ + {getSinkLabel(sink)} + {#if sink.operation} + + {sink.operation} + + {/if} +
+ {/each} +
+ {/if} + + + {#if sources().length === 0 && sinks().length === 0} +
+ Click to configure data source & sink +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte new file mode 100644 index 00000000..43f78511 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte @@ -0,0 +1,25 @@ + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte new file mode 100644 index 00000000..1f3598ea --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte @@ -0,0 +1,59 @@ + + + +
+ {#if data.model} +
+ + {data.model.provider} +
+ {/if} + {#if temperature !== undefined || maxTokens !== undefined} +
+ {#if temperature !== undefined} + + + {temperature} + + {/if} + {#if maxTokens !== undefined} + max: {maxTokens} + {/if} +
+ {/if} + {#if toolCount > 0} +
+ + {toolCount} tool{toolCount !== 1 ? 's' : ''} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte new file mode 100644 index 00000000..7c021346 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte @@ -0,0 +1,25 @@ + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte new file mode 100644 index 00000000..30033c56 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte @@ -0,0 +1,132 @@ + + +
+ + {#if showTargetHandle} + + {/if} + + +
+
+ +
+
+
+ {label} +
+ {#if sublabel} +
+ {sublabel} +
+ {/if} +
+ + + {#if StatusIcon()} +
+ {#if executionState?.status === 'running'} + + {:else if executionState?.status === 'completed'} + + {:else if executionState?.status === 'failed'} + + {:else} + + {/if} +
+ {/if} +
+ + + {#if children} +
+ {@render children()} +
+ {/if} + + + {#if executionState?.duration_ms} +
+ Duration: {executionState.duration_ms}ms +
+ {/if} + + + {#if showSourceHandle} + + {/if} +
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte new file mode 100644 index 00000000..a31ac3a2 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte @@ -0,0 +1,116 @@ + + + 0 ? `${totalMappings()} mapping(s)` : 'Configure output'} + icon={Settings} + color="#10b981" + executionState={data.executionState} + isCurrentNode={data.isCurrentNode} + showSourceHandle={false} +> +
+ + {#if generatorName()} +
+
+ + Generator +
+
+ + {generatorName()} + +
+
+ {/if} + + + {#if outputMapKeys().length > 0} +
+
+ + Output Map +
+ {#each outputMapKeys() as key} + {@const mapping = data.output_config?.output_map?.[key]} +
+ {key.split('->').pop() || key} + + {#if mapping?.from} + {mapping.from} + {:else if mapping?.value !== undefined} + static + {/if} + {#if mapping?.transform} + + fn + + {/if} +
+ {/each} + {#if totalMappings() > 4} +
+ +{totalMappings() - 4} more... +
+ {/if} +
+ {/if} + + + {#if !generatorName() && outputMapKeys().length === 0} +
+ Click to configure output mapping +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte new file mode 100644 index 00000000..95290b97 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte @@ -0,0 +1,25 @@ + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/SubgraphNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/SubgraphNode.svelte new file mode 100644 index 00000000..fa278fba --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/SubgraphNode.svelte @@ -0,0 +1,316 @@ + + +{#if hasInnerGraph} + +
+ + + + +
+
+ +
+
+
+ {data.summary || data.id} +
+
+ {data.inner_graph?.name || 'Subgraph'} ยท {data.inner_graph?.nodes.length || 0} nodes +
+
+ + + + + + {#if data.executionState?.status === 'running'} + + {:else if data.executionState?.status === 'completed'} + + {:else if data.executionState?.status === 'failed'} + + {/if} +
+ + +
+ + + + + + + + {#each data.inner_graph?.edges || [] as edge} + + {/each} + + + + {#each data.inner_graph?.nodes || [] as innerNode} + {@const Icon = nodeIcons[innerNode.node_type] || Boxes} + {@const color = nodeColors[innerNode.node_type] || '#6b7280'} + {@const w = innerNode.size?.width || 150} + {@const h = innerNode.size?.height || 60} + +
+ +
+
+ +
+ + {innerNode.summary || innerNode.id} + +
+ + + {#if innerNode.inner_graph && innerNode.inner_graph.nodes?.length > 0} +
+ โ†ณ {innerNode.inner_graph.nodes.length} inner nodes +
+ {/if} +
+ {/each} +
+ + + {#if data.executionState?.duration_ms} +
+ Duration: {data.executionState.duration_ms}ms +
+ {/if} + + + +
+{:else} + +
+ + + + +
+
+ +
+
+
+ {data.summary || data.id} +
+
+ {data.subgraph_path || 'Subgraph'} +
+
+ + + {#if data.executionState?.status === 'running'} + + {:else if data.executionState?.status === 'completed'} + + {:else if data.executionState?.status === 'failed'} + + {/if} +
+ + + {#if data.executionState?.duration_ms} +
+ Duration: {data.executionState.duration_ms}ms +
+ {/if} + + + +
+{/if} diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/WebAgentNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/WebAgentNode.svelte new file mode 100644 index 00000000..fcd73747 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/WebAgentNode.svelte @@ -0,0 +1,25 @@ + + + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte new file mode 100644 index 00000000..9907cfcc --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte @@ -0,0 +1,75 @@ + + + 0 ? `${totalAttributes()} attribute(s)` : 'Configure attributes'} + icon={Shuffle} + color="#8b5cf6" + executionState={data.executionState} + isCurrentNode={data.isCurrentNode} +> +
+ + {#if attributeNames().length > 0} +
+
+ + Attributes +
+ {#each attributeNames() as attrName} + {@const attr = data.sampler_config?.attributes[attrName]} +
+ {attrName} + : + + {attr?.values?.length ?? 0} values + +
+ {/each} + {#if totalAttributes() > 4} +
+ +{totalAttributes() - 4} more... +
+ {/if} +
+ {/if} + + + {#if attributeNames().length === 0} +
+ Click to configure sampler attributes +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/home/HomeView.svelte b/studio/frontend/src/lib/components/home/HomeView.svelte new file mode 100644 index 00000000..4fdcce48 --- /dev/null +++ b/studio/frontend/src/lib/components/home/HomeView.svelte @@ -0,0 +1,384 @@ + + +
+
+ +
+
+
+ +
+
+

+ SyGra Studio +

+

+ Synthetic data generation workflows +

+
+
+
+
+ + +
+ +
+
+ + +
+ + + + +
+ + +
+
+
+ Success Rate + {#if stats().successRate >= 80}{:else}{/if} +
+
{stats().successRate}%
+
{stats().completedRuns}/{stats().totalRuns} runs
+
+
+
+ Total Tokens + +
+
{formatNumber(stats().totalTokens)}
+
across all runs
+
+
+
+ Total Cost + +
+
{formatCost(stats().totalCost)}
+
API usage
+
+
+
+ Avg Duration + +
+
{formatDuration(stats().avgDuration)}
+
per run
+
+
+
+ Running + +
+
{stats().runningRuns}
+
active now
+
+
+ + +
+ +
+
+

+ + {searchQuery ? 'Search Results' : 'Recent Workflows'} +

+ +
+
+ {#each filteredWorkflows() as workflow (workflow.id)} + + {:else} +
+
+ +
+

{searchQuery ? 'No matching workflows' : 'No workflows yet'}

+

{searchQuery ? 'Try a different search term' : 'Create your first workflow to get started'}

+ {#if !searchQuery} + + {/if} +
+ {/each} +
+
+ + +
+
+

+ + Recent Activity +

+ +
+
+ {#each recentRuns as run (run.id)} + {@const status = statusConfig[run.status] || statusConfig.pending} + {@const StatusIcon = status.icon} + + {:else} +
+
+ +
+

No runs yet

+

Execute a workflow to see activity here

+
+ {/each} +
+
+
+ + + {#if workflows.length === 0} +
+

+ ๐Ÿš€ Getting Started +

+

+ Welcome to SyGra Studio! Here's how to get started: +

+
+
+
+ 1 +
+

Create a Workflow

+

+ Click "Create Workflow" to build your first data generation pipeline. +

+
+
+
+ 2 +
+

Add Nodes

+

+ Drag and drop LLM, Lambda, Sampler, and other nodes to build your workflow. +

+
+
+
+ 3 +
+

Execute & Monitor

+

+ Run your workflow and monitor execution progress in real-time. +

+
+
+
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/library/LibraryView.svelte b/studio/frontend/src/lib/components/library/LibraryView.svelte new file mode 100644 index 00000000..3cfe211f --- /dev/null +++ b/studio/frontend/src/lib/components/library/LibraryView.svelte @@ -0,0 +1,693 @@ + + + + + + +
+ +
+
+
+

Library

+

+ {currentItems.length} of {totalCount} {activeTab} + {#if selectionCount > 0} + โ€ข {selectionCount} selected + {/if} +

+
+
+ +
+ + +
+ +
+ + {#if selectionCount > 0} + + +
+ {/if} + + + {#if activeTab === 'tools'} + + {/if} +
+
+ + +
+
+ +
+ + +
+ + + {#if activeTab === 'recipes'} +
+ + {#each RECIPE_CATEGORIES as cat} + + {/each} +
+ {:else} +
+ + {#each TOOL_CATEGORIES as cat} + + {/each} +
+ {/if} + + {#if hasActiveFilters} + + {/if} +
+ + +
+ + +
+
+
+ + +
+ {#if currentItems.length === 0} +
+ {#if activeTab === 'recipes'} + + {:else} + + {/if} + {#if totalCount === 0} +

No {activeTab} yet

+

+ {#if activeTab === 'recipes'} + Save workflow subgraphs as recipes to reuse them across workflows. + {:else} + Create tools to use in LLM and Agent nodes. + {/if} +

+
+ + {#if activeTab === 'tools'} + + {/if} +
+ {:else} +

No matching {activeTab}

+

Try adjusting your search or filters

+ {/if} +
+ {:else if viewMode === 'card'} + +
+ {#each currentItems as item (item.id)} + {@const isRecipe = activeTab === 'recipes'} + {@const Icon = isRecipe ? recipeCategoryIcons[(item as Recipe).category] : toolCategoryIcons[(item as Tool).category]} + {@const color = getCategoryColor(isRecipe ? (item as Recipe).category : (item as Tool).category, isRecipe ? 'recipe' : 'tool')} +
isRecipe ? (previewRecipe = item as Recipe) : handleEdit(item.id)} + > +
+
+
+ +
+ +
+
+ +
+

{item.name}

+ {#if item.description} +

{item.description}

+ {/if} + {#if isRecipe} +
+ {(item as Recipe).nodeCount} nodes +
+ {:else} +
{(item as Tool).import_path}
+ {/if} +
+
+ {formatDate(item.updatedAt)} + {#if isRecipe} + + {:else} + + {/if} +
+
+ {/each} +
+ {:else} + + + + + + + + + + + + + + {#each currentItems as item (item.id)} + {@const isRecipe = activeTab === 'recipes'} + {@const Icon = isRecipe ? recipeCategoryIcons[(item as Recipe).category] : toolCategoryIcons[(item as Tool).category]} + {@const color = getCategoryColor(isRecipe ? (item as Recipe).category : (item as Tool).category, isRecipe ? 'recipe' : 'tool')} + {@const catLabel = isRecipe ? RECIPE_CATEGORIES.find(c => c.value === (item as Recipe).category)?.label : TOOL_CATEGORIES.find(c => c.value === (item as Tool).category)?.label} + isRecipe ? (previewRecipe = item as Recipe) : handleEdit(item.id)}> + + + + + + + + {/each} + +
+ + NameCategory{activeTab === 'recipes' ? 'Nodes' : 'Path'}UpdatedActions
+ + +
+
+ +
+
+
{item.name}
+ {#if item.description} +
{item.description}
+ {/if} +
+
+
{catLabel} + {#if isRecipe} + {(item as Recipe).nodeCount} + {:else} + {(item as Tool).import_path} + {/if} + {formatDate(item.updatedAt)} +
+ {#if isRecipe} + + {:else} + + {/if} + +
+
+ {/if} +
+
+ + +{#if contextMenuId} +
e.stopPropagation()}> + {#if activeTab === 'recipes'} + + {:else} + + {/if} + + +
+ +
+{/if} + + +{#if showToolEditor} +
+
+
+

{editingTool ? 'Edit Tool' : 'Create Tool'}

+ +
+
+
+
+ + +
+
+ + +
+
+
+ + +
+
+ + +
+
+ +
+ +
+
+
+
+ + +
+
+
+{/if} + + +{#if previewRecipe} + previewRecipe = null} on:addToWorkflow={() => { handleAddRecipe(previewRecipe!); previewRecipe = null; }} /> +{/if} + + +{#if showDeleteConfirm} + 1 ? 's' : ''}? This cannot be undone.`} + confirmText="Delete" + variant="danger" + on:confirm={confirmDelete} + on:cancel={cancelDelete} + /> +{/if} diff --git a/studio/frontend/src/lib/components/library/RecipeLibrary.svelte b/studio/frontend/src/lib/components/library/RecipeLibrary.svelte new file mode 100644 index 00000000..c282b544 --- /dev/null +++ b/studio/frontend/src/lib/components/library/RecipeLibrary.svelte @@ -0,0 +1,533 @@ + + + + +
+ +
+
+
+ +

Recipe Library

+ {#if selectionCount > 0} + + {selectionCount} selected + + {/if} +
+
+ {#if selectionCount > 0} + + + +
+ {/if} + + +
+
+ + +
+ + {#if recipeStore.filteredRecipes.length > 0} + + {/if} + + +
+ + +
+
+ + +
+ + + {#if showCategoryFilter} +
+ + {#each RECIPE_CATEGORIES as cat} + + {/each} +
+ {/if} +
+
+ + +
+ {#if recipeStore.filteredRecipes.length === 0} +
+
+ +
+

No recipes yet

+

+ {#if recipeStore.searchQuery || recipeStore.selectedCategory !== 'all'} + No recipes match your search. Try adjusting your filters. + {:else} + Create a subgraph in the workflow builder and save it as a recipe to reuse later. + {/if} +

+
+ {:else} +
+ {#each recipeStore.filteredRecipes as recipe (recipe.id)} + {@const Icon = categoryIcons[recipe.category]} + {@const isSelected = selectedRecipeIds.has(recipe.id)} +
handleAddRecipe(recipe)} + > + +
+ +
+ + + + +
+ +
+ + +
+
+

+ {recipe.name} +

+ +
+ + {#if recipe.description} +

+ {recipe.description} +

+ {/if} + +
+ + + {recipe.nodeCount} nodes + + + + {formatDate(recipe.updatedAt)} + +
+ + {#if recipe.tags.length > 0} +
+ {#each recipe.tags.slice(0, 3) as tag} + + {tag} + + {/each} + {#if recipe.tags.length > 3} + +{recipe.tags.length - 3} + {/if} +
+ {/if} +
+
+ + +
+ + +
+
+ {/each} +
+ {/if} +
+ + +
+
+ {recipeStore.recipes.length} recipes in library + {#if recipeStore.filteredRecipes.length !== recipeStore.recipes.length} + {recipeStore.filteredRecipes.length} shown + {/if} +
+
+
+ + +{#if contextMenuRecipe} +
e.stopPropagation()} + > + + + +
+ +
+{/if} + + +{#if previewRecipe} + previewRecipe = null} + on:addToWorkflow={(e) => { + handleAddRecipe(e.detail.recipe); + previewRecipe = null; + }} + /> +{/if} + + +{#if showDeleteConfirm} + +{/if} diff --git a/studio/frontend/src/lib/components/library/RecipePreviewModal.svelte b/studio/frontend/src/lib/components/library/RecipePreviewModal.svelte new file mode 100644 index 00000000..d794aacf --- /dev/null +++ b/studio/frontend/src/lib/components/library/RecipePreviewModal.svelte @@ -0,0 +1,244 @@ + + + + +
dispatch('close')} + onkeydown={(e) => e.key === 'Escape' && dispatch('close')} + role="button" + tabindex="-1" +> +
e.stopPropagation()} + onkeydown={(e) => e.stopPropagation()} + role="dialog" + aria-modal="true" + tabindex="-1" + > + +
+
+

+ {recipe.name} +

+ {#if recipe.description} +

+ {recipe.description} +

+ {/if} +
+ +
+ + +
+
+
+ + {recipe.nodeCount} nodes +
+
+ + Updated {formatDate(recipe.updatedAt)} +
+ {#if recipe.author} +
+ + {recipe.author} +
+ {/if} + {#if recipe.tags.length > 0} +
+ + {#each recipe.tags as tag} + + {tag} + + {/each} +
+ {/if} +
+
+ + +
+ + + + + +
+ Scroll to zoom โ€ข Drag to pan +
+
+ + +
+
+ Node types: {recipe.nodeTypes.join(', ')} +
+
+ + +
+
+
+
diff --git a/studio/frontend/src/lib/components/library/ToolLibrary.svelte b/studio/frontend/src/lib/components/library/ToolLibrary.svelte new file mode 100644 index 00000000..0f0ae4b0 --- /dev/null +++ b/studio/frontend/src/lib/components/library/ToolLibrary.svelte @@ -0,0 +1,497 @@ + + + + + + +
+ +
+
+

Tools

+

Create and manage reusable tools for LLM/Agent nodes

+
+
+ + +
+
+ + +
+
+
+ + +
+
+ + {#each TOOL_CATEGORIES as cat} + + {/each} +
+
+
+ + +
+ {#if toolStore.filteredTools.length === 0} +
+ + {#if toolStore.tools.length === 0} +

No tools yet

+

+ Create your first tool to use in LLM and Agent nodes. Tools are Python functions decorated with @tool. +

+ + {:else} +

No matching tools

+

Try adjusting your search or filters

+ {/if} +
+ {:else} +
+ {#each toolStore.filteredTools as tool (tool.id)} + {@const Icon = categoryIcons[tool.category]} +
+
+
+
+ +
+ +
+

+ {tool.name} +

+ {#if tool.description} +

+ {tool.description} +

+ {/if} +
+ {tool.import_path} +
+
+
+ {formatDate(tool.updatedAt)} + +
+
+ {/each} +
+ {/if} +
+
+ + +{#if contextMenuTool} +
e.stopPropagation()} + > + + + +
+ +
+{/if} + + +{#if showCreateModal} +
+
+ +
+

+ {editingTool ? 'Edit Tool' : 'Create Tool'} +

+ +
+ + +
+
+
+ + +
+
+ + +
+
+ +
+ + +
+ +
+ + +

The Python import path where this tool will be available

+
+ +
+ +
+ +
+

+ Define your tool using the @tool decorator from langchain +

+
+
+ + +
+ + +
+
+
+{/if} + + +{#if showDeleteConfirm && toolToDelete} + { showDeleteConfirm = false; toolToDelete = null; }} + /> +{/if} diff --git a/studio/frontend/src/lib/components/models/ModelsView.svelte b/studio/frontend/src/lib/components/models/ModelsView.svelte new file mode 100644 index 00000000..8ee90b49 --- /dev/null +++ b/studio/frontend/src/lib/components/models/ModelsView.svelte @@ -0,0 +1,1254 @@ + + +
+ +
+
+
+

Models

+

+ {filteredModels.length} of {models.length} models + {#if onlineCount > 0} + โ€ข {onlineCount} online + {/if} + {#if needsConfigCount > 0} + โ€ข {needsConfigCount} need config + {/if} + {#if modelsStore.lastRefresh} + | + refreshed {formatLastRefresh(modelsStore.lastRefresh, timeTick)} + {/if} +

+
+
+ +
+ + +
+ +
+ + {#if pingingAll} + + {/if} + + +
+
+ + +
+ +
+ + +
+ + + + + + 5} + searchPlaceholder="Search types..." + class="w-44" + /> + + {#if hasActiveFilters} + + {/if} +
+
+ + +
+ {#if loading} +
+ +
+ {:else if filteredModels.length === 0} +
+ + {#if models.length === 0} +

No models configured

+

+ Add LLM models to use in your workflows. Configure API endpoints, credentials, and parameters. +

+ + {:else} +

No matching models

+

Try adjusting your search or filters

+ {/if} +
+ {:else if viewMode === 'list'} + + + + + + + + + + + + + {#each filteredModels as model (model.name)} + {@const Icon = getModelIcon(model.model_type)} + + + + + + + + {/each} + +
ModelTypeStatusLatencyActions
+
+
+ +
+
+
+ {model.name} + {#if model.is_builtin} + + + SyGra + + {/if} +
+
{model.model}
+
+
+
+ {model.model_type_label} + + {#if !model.credentials_configured} + + + Needs Config + + {:else if model.status === 'online'} + + + Online + + {:else if model.status === 'offline' || model.status === 'error'} + + + {model.status} + + {:else} + + + Unknown + + {/if} + + {model.latency_ms ? formatLatency(model.latency_ms) : '-'} + +
+ + {#if model.is_builtin} + + + + {:else} + + + {/if} +
+
+ {:else} + +
+ + {#if onlineModels.length > 0} +
+
+ +

Online ({onlineModels.length})

+
+
+ {#each onlineModels as model (model.name)} + {@const Icon = getModelIcon(model.model_type)} +
+
+
+ +
+
+
+

{model.name}

+ {#if model.is_builtin} + + + SyGra + + {/if} +
+

{model.model}

+
+ {model.model_type_label} + {#if model.latency_ms}{formatLatency(model.latency_ms)}{/if} +
+
+
+ + {#if !model.is_builtin} + + {/if} +
+
+
+ {/each} +
+
+ {/if} + + + {#if configuredModels.length > 0} +
+
+ +

Configured ({configuredModels.length})

+
+
+ {#each configuredModels as model (model.name)} + {@const Icon = getModelIcon(model.model_type)} +
+
+
+ +
+
+
+

{model.name}

+ {#if model.is_builtin} + + + SyGra + + {/if} + {#if model.status === 'offline' || model.status === 'error'} + + {:else} + + {/if} +
+

{model.model}

+
+ {model.model_type_label} + {#if model.error}{model.error}{/if} +
+
+
+ + {#if !model.is_builtin} + + {/if} +
+
+
+ {/each} +
+
+ {/if} + + + {#if needsConfigModels.length > 0} +
+
+ +

Needs Configuration ({needsConfigModels.length})

+
+
+ {#each needsConfigModels as model (model.name)} + {@const Icon = getModelIcon(model.model_type)} +
+
+
+ +
+
+
+

{model.name}

+ {#if model.is_builtin} + + + SyGra + + {/if} +
+

{model.model}

+
+ {model.model_type_label} +
+
+ {#if model.is_builtin} + + Set ENV + + {:else} + + {/if} +
+
+ {/each} +
+
+ {/if} +
+ {/if} +
+
+ + +{#if showEditor} +
+
+
+

+ {editingModel ? 'Edit Model' : 'Add New Model'} +

+ +
+ +
+ {#if formError} +
+ {formError} +
+ {/if} + +
+ +
+
+ + +
+
+ + 5} + searchPlaceholder="Search types..." + class="w-full" + /> +
+
+ + +
+
+ + +
+
+ + +
+
+ + + {#if Object.keys(formCredentials).length > 0} +
+ +

Leave empty to keep existing values. Values are stored in environment variables.

+
+ {#each Object.keys(formCredentials) as envVar} +
+ + +
+ {/each} +
+
+ {/if} + + +
+
+ + +
+
+ {#each formParameters as param, index} +
+ + + +
+ {/each} +
+

For arrays use JSON: ["value1", "value2"]. For nested objects use JSON syntax.

+
+ + + + + {#if showAdvancedOptions} + +
+ +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+ + +
+ + +
+
+ + +
+

Add any additional properties (e.g., image_capabilities). Use JSON for nested objects.

+
+ {#each formCustomProperties as prop, index} +
+ + + +
+ {/each} +
+
+
+ {/if} +
+
+ +
+ + +
+
+
+{/if} + + +{#if showDeleteConfirm} + { showDeleteConfirm = false; modelToDelete = null; }} + /> +{/if} diff --git a/studio/frontend/src/lib/components/runs/LogViewer.svelte b/studio/frontend/src/lib/components/runs/LogViewer.svelte new file mode 100644 index 00000000..aa3b3841 --- /dev/null +++ b/studio/frontend/src/lib/components/runs/LogViewer.svelte @@ -0,0 +1,205 @@ + + +
+ +
+
+ {title} + {logs.length} lines +
+ + +
+
+ + + {#if searchQuery} + + {/if} +
+ + {#if searchQuery && matchCount > 0} +
+ {currentMatchIndex + 1}/{matchCount} + + +
+ {/if} +
+ + +
+ + +
+ + +
+
+ + +
+ {#if logs.length === 0} +
+ No logs captured +
+ {:else} +
+ {#each filteredLogs() as log} +
+ {#if showLineNumbers} + {log.line} + {/if} + + {#if searchQuery && log.matches} + {@html highlightText(log.text, searchQuery)} + {:else} + {log.text} + {/if} + +
+ {/each} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/MiniSparkline.svelte b/studio/frontend/src/lib/components/runs/MiniSparkline.svelte new file mode 100644 index 00000000..09d4fe9d --- /dev/null +++ b/studio/frontend/src/lib/components/runs/MiniSparkline.svelte @@ -0,0 +1,65 @@ + + + + {#if data.length > 1} + + {#if showDot && lastPoint()} + + {/if} + {:else if data.length === 1} + + {/if} + diff --git a/studio/frontend/src/lib/components/runs/NodeExecutionTimeline.svelte b/studio/frontend/src/lib/components/runs/NodeExecutionTimeline.svelte new file mode 100644 index 00000000..b2966d07 --- /dev/null +++ b/studio/frontend/src/lib/components/runs/NodeExecutionTimeline.svelte @@ -0,0 +1,97 @@ + + +
+ {#each nodes() as node, i} + {@const widthPct = Math.min(Math.max((node.duration_ms || 0) / totalMs() * 100, 5), 100)} +
+ +
+
+ + + {node.id} + +
+
+ + +
+
+ {#if node.duration_ms} + + {formatDuration(node.duration_ms)} + + {/if} +
+
+ + +
+ + {node.status} + +
+
+ + {#if i < nodes().length - 1} +
+
+
+
+
+ {/if} + {/each} +
diff --git a/studio/frontend/src/lib/components/runs/RunCard.svelte b/studio/frontend/src/lib/components/runs/RunCard.svelte new file mode 100644 index 00000000..8c6b637c --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunCard.svelte @@ -0,0 +1,199 @@ + + + showMenu = false} /> + +
+ +
+
+ +
+ +
+
+

+ {run.workflow_name || 'Unknown Workflow'} +

+

{run.id.slice(0, 12)}...

+
+
+ + +
+ {#if pinned} + + {/if} +
+ + {#if showMenu} +
+ {#if !pinned} + + {:else} + + {/if} + + +
+ +
+ {/if} +
+
+
+ + + {#if Object.keys(run.node_states).length > 0} +
+ +
+ {/if} + + +
+
+ + {formatDuration(run.duration_ms)} +
+
+ + {formatTokens(run.metadata)} +
+
+ + {formatCost(run.metadata)} +
+
+ + +
+ {formatDate(run.started_at)} + +
+
diff --git a/studio/frontend/src/lib/components/runs/RunComparisonView.svelte b/studio/frontend/src/lib/components/runs/RunComparisonView.svelte new file mode 100644 index 00000000..3c5c8cd8 --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunComparisonView.svelte @@ -0,0 +1,1119 @@ + + +
+ +
+
+
+ +
+

+ + Run Comparison +

+

Comparing {runs.length} runs

+
+
+ +
+ + +
+
+ + +
+ {#each runs as run, i} + {@const status = statusConfig[run.status] || statusConfig.pending} + {@const StatusIcon = status.icon} +
+
+ {run.workflow_name || 'Unknown'} + {run.id.slice(0, 8)} + +
+ {/each} +
+ + +
+ {#each [ + { id: 'overview', label: 'Overview', icon: Activity }, + { id: 'metrics', label: 'Metrics', icon: BarChart3 }, + { id: 'models', label: 'Models', icon: Cpu }, + { id: 'nodes', label: 'Nodes', icon: Layers } + ] as tab} + {@const TabIcon = tab.icon} + + {/each} +
+
+ + +
+ {#if activeTab === 'overview'} + +
+ +
+ +
+
+
+ + Fastest +
+ +
+
+ {formatDuration(getMetrics(fastestRun).duration)} +
+
+ {fastestRun?.workflow_name || 'Unknown'} ({fastestRun?.id.slice(0, 6)}) +
+
+ + +
+
+
+ + Lowest Tokens +
+ +
+
+ {formatNumber(getMetrics(lowestTokensRun).tokens)} +
+
+ {lowestTokensRun?.workflow_name || 'Unknown'} ({lowestTokensRun?.id.slice(0, 6)}) +
+
+ + +
+
+
+ + Cheapest +
+ +
+
+ {formatCost(getMetrics(cheapestRun).cost)} +
+
+ {cheapestRun?.workflow_name || 'Unknown'} ({cheapestRun?.id.slice(0, 6)}) +
+
+ + +
+
+
+ + Most Reliable +
+ +
+
+ {formatPercent(getMetrics(mostReliableRun).successRate)} +
+
+ {mostReliableRun?.workflow_name || 'Unknown'} ({mostReliableRun?.id.slice(0, 6)}) +
+
+
+ + +
+ +
+
+ +

Duration vs Tokens

+
+
+ +
+
+ + +
+
+ +

Multi-Dimensional Comparison

+
+
+ +
+
+
+ + +
+
+

+ + Detailed Metrics Comparison +

+
+
+ + + + + {#each runs as run, i} + + {/each} + + + + + + + {#each runs as run, i} + {@const status = statusConfig[run.status] || statusConfig.pending} + {@const StatusIcon = status.icon} + + {/each} + + + + + {#each runs as run, i} + {@const metrics = getMetrics(run)} + {@const isBest = i === comparisonStats().duration.bestIdx} + {@const isWorst = i === comparisonStats().duration.worstIdx} + + {/each} + + + + + {#each runs as run, i} + {@const metrics = getMetrics(run)} + {@const isBest = i === comparisonStats().tokens.bestIdx} + {@const isWorst = i === comparisonStats().tokens.worstIdx} + + {/each} + + + + + {#each runs as run, i} + {@const metrics = getMetrics(run)} + {@const isBest = i === comparisonStats().cost.bestIdx} + {@const isWorst = i === comparisonStats().cost.worstIdx} + + {/each} + + + + + {#each runs as run, i} + {@const metrics = getMetrics(run)} + {@const isBest = i === comparisonStats().successRate.bestIdx} + {@const isWorst = i === comparisonStats().successRate.worstIdx} + + {/each} + + + + + {#each runs as run} + {@const metrics = getMetrics(run)} + + {/each} + + + + + {#each runs as run} + {@const metrics = getMetrics(run)} + + {/each} + + + +
Metric +
+
+
+ {run.workflow_name || 'Unknown'} + {run.id.slice(0, 8)} +
+
+
Range
Status + + + {run.status} + + -
+
+ + Duration +
+
+
+ + {formatDuration(metrics.duration)} + + {#if isBest} + + {/if} +
+
+ {formatDuration(comparisonStats().duration.min)} - {formatDuration(comparisonStats().duration.max)} +
+
+ + Tokens +
+
+
+ + {formatNumber(metrics.tokens)} + + {#if isBest} + + {/if} +
+
+ {formatNumber(comparisonStats().tokens.min)} - {formatNumber(comparisonStats().tokens.max)} +
+
+ + Cost +
+
+
+ + {formatCost(metrics.cost)} + + {#if isBest} + + {/if} +
+
+ {formatCost(comparisonStats().cost.min)} - {formatCost(comparisonStats().cost.max)} +
+
+ + Success Rate +
+
+
+ + {formatPercent(metrics.successRate)} + + {#if isBest} + + {/if} +
+
+ {formatPercent(comparisonStats().successRate.min)} - {formatPercent(comparisonStats().successRate.max)} +
+
+ + Records +
+
+ {metrics.records.toLocaleString()} + -
+
+ + Requests +
+
+ {metrics.requests} ({metrics.failures} failed) + -
+
+
+
+ + {:else if activeTab === 'metrics'} + +
+
+ +
+
+ +

Token Distribution

+
+
+ +
+
+ + +
+
+ +

Cost Comparison

+
+
+ +
+
+
+ +
+ +
+
+ +

Duration Comparison

+
+
+ +
+
+ + +
+
+ +

Statistical Summary

+
+
+ {#each [ + { label: 'Duration', stats: comparisonStats().duration, format: formatDuration, icon: Timer, color: 'amber' }, + { label: 'Tokens', stats: comparisonStats().tokens, format: formatNumber, icon: Zap, color: 'violet' }, + { label: 'Cost', stats: comparisonStats().cost, format: formatCost, icon: DollarSign, color: 'emerald' }, + { label: 'Success Rate', stats: comparisonStats().successRate, format: formatPercent, icon: TrendingUp, color: 'blue' } + ] as item} + {@const Icon = item.icon} +
+
+ + {item.label} +
+
+
+ {item.format(item.stats.min)} + โ†’ + {item.format(item.stats.max)} +
+
avg: {item.format(item.stats.avg)}
+
+
+ {/each} +
+
+
+
+ + {:else if activeTab === 'models'} + +
+ {#if allModels().length === 0} +
+ +

No model data available

+

Model metrics are collected when runs complete

+
+ {:else} +
+ +
+
+ +

Token Usage by Model

+
+
+ +
+
+ + +
+
+ +

Average Latency by Model

+
+
+ +
+
+
+ + +
+
+

+ + Model Performance Details +

+
+
+ + + + + {#each runs as run, i} + + {/each} + + + + {#each allModels() as modelName} + + + {#each runs as run} + {@const model = run.metadata?.models?.[modelName]} + + {/each} + + {/each} + +
Model +
+
+ {run.workflow_name?.slice(0, 15) || run.id.slice(0, 8)} +
+
{modelName} + {#if model} +
+
+ + {formatNumber(model.token_statistics?.total_tokens || 0)} +
+
+ + {((model.performance?.average_latency_seconds || 0) * 1000).toFixed(0)}ms +
+
+ + {formatCost(model.cost?.total_cost_usd || 0)} +
+
+ + {model.performance?.total_requests || 0} req +
+
+ {:else} + - + {/if} +
+
+
+ {/if} +
+ + {:else if activeTab === 'nodes'} + +
+ {#if allNodes().length === 0} +
+ +

No node data available

+

Node metrics are collected when runs complete

+
+ {:else} + +
+
+ +

Node Execution Latency Comparison

+
+
+ +
+
+ + +
+
+

+ + Node Execution Details +

+
+
+ + + + + {#each runs as run, i} + + {/each} + + + + {#each allNodes() as nodeName} + + + {#each runs as run} + {@const node = run.metadata?.nodes?.[nodeName]} + + {/each} + + {/each} + +
Node +
+
+ {run.workflow_name?.slice(0, 15) || run.id.slice(0, 8)} +
+
{nodeName} + {#if node} +
+
+ Type: + {node.node_type} +
+
+ {node.total_executions} exec โ€ข {((node.average_latency_seconds || 0) * 1000).toFixed(0)}ms avg +
+ {#if node.token_statistics} +
+ {formatNumber(node.token_statistics.total_tokens)} tokens +
+ {/if} +
+ {:else} + - + {/if} +
+
+
+ {/if} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunDetailsView.svelte b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte new file mode 100644 index 00000000..3224ff8a --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte @@ -0,0 +1,741 @@ + + +
+ +
+
+ +
+

+ {execution.workflow_name || 'Unknown Workflow'} +

+
+ {execution.id.slice(0, 12)}... + ยท + + + {execution.status} + +
+
+ +
+ + +
+ {#each [ + { id: 'overview', label: 'Overview', icon: Activity }, + { id: 'output', label: 'Output', icon: FileJson }, + { id: 'logs', label: 'Logs', icon: FileText }, + { id: 'metadata', label: 'Metadata', icon: BarChart3 } + ] as tab} + {@const TabIcon = tab.icon} + + {/each} +
+
+ + +
+ {#if activeTab === 'overview'} + +
+ +
+
+
+ + Started +
+
+ {formatDate(execution.started_at)} +
+
+
+
+ + Duration +
+
+ {formatDuration(execution.duration_ms)} +
+
+
+
+ + Output Records +
+
+ {outputCount()} +
+
+
+
+ + Run ID +
+
+ {execution.id} +
+
+
+ + + {#if execution.output_file} +
+
+ + Output File +
+
+ {execution.output_file} +
+
+ {/if} + + + {#if execution.error} +
+
+ + Error +
+
{execution.error}
+
+ {/if} + + + {#if Object.keys(execution.node_states).length > 0} +
+

+ + Node Execution States +

+
+ {#each Object.entries(execution.node_states) as [nodeId, nodeState]} + {@const nodeStatus = statusConfig[nodeState.status as keyof typeof statusConfig] || statusConfig.pending} + {@const NodeStatusIcon = nodeStatus.icon} +
+ + {nodeId} + + {nodeState.status} + {#if nodeState.duration_ms} + {formatDuration(nodeState.duration_ms)} + {/if} +
+ {/each} +
+
+ {/if} +
+ + {:else if activeTab === 'output'} + +
+ {#if sampleOutput()} +
+
+ Showing {Array.isArray(sampleOutput()) ? Math.min(5, outputCount()) : 1} of {outputCount()} records +
+ +
+ + {#if Array.isArray(sampleOutput())} + {#each sampleOutput() as record, i} +
+ + + Record {i + 1} + +
{JSON.stringify(record, null, 2)}
+
+ {/each} + {:else} +
{JSON.stringify(sampleOutput(), null, 2)}
+ {/if} + {:else} +
+ +

No output data available

+
+ {/if} +
+ + {:else if activeTab === 'logs'} + +
+ {#if execution.logs.length > 0} +
+ {#each execution.logs as log, i} +
+ {i + 1} + {log} +
+ {/each} +
+ {:else} +
+ +

No logs captured

+
+ {/if} +
+ + {:else if activeTab === 'metadata'} + + {#if metadata} +
+ +
+
+
+ + Total Cost +
+
+ {formatCost(metadata.aggregate_statistics.cost.total_cost_usd)} +
+
+ {formatCost(metadata.aggregate_statistics.cost.average_cost_per_record)}/record +
+
+ +
+
+ + Total Tokens +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_tokens)} +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_prompt_tokens)} prompt +
+
+ +
+
+ + Success Rate +
+
+ {formatPercent(metadata.aggregate_statistics.records.success_rate)} +
+
+ {metadata.aggregate_statistics.records.total_processed} processed +
+
+ +
+
+ + Requests +
+
+ {metadata.aggregate_statistics.requests.total_requests} +
+
+ {metadata.aggregate_statistics.requests.total_failures} failures +
+
+
+ + +
+ +
+
+ +

Token Distribution

+
+
+ +
+
+ + +
+
+ +

Model Token Usage

+
+
+ +
+
+ + +
+
+ +

Node Latency

+ + Fast + Med + Slow + +
+
+ +
+
+
+ + +
+
+

+ + Execution Details +

+
+
+ Task: + {metadata.execution.task_name} +
+
+ Run Name: + {metadata.execution.run_name} +
+
+ Duration: + {metadata.execution.timing.duration_seconds.toFixed(2)}s +
+ {#if metadata.execution.git} +
+ Git: + + {metadata.execution.git.branch} @ {metadata.execution.git.commit_hash.slice(0, 7)} + +
+ {/if} +
+
+ +
+

+ + Dataset +

+
+
+ Type: + + {metadata.dataset.source_type === 'hf' ? 'HuggingFace' : metadata.dataset.source_type === 'servicenow' ? 'ServiceNow' : 'Local File'} + +
+
+ Source: + + {metadata.dataset.source_path} + +
+
+ Records Processed: + {metadata.dataset.num_records_processed.toLocaleString()} +
+ {#if metadata.dataset.start_index > 0} +
+ Start Index: + {metadata.dataset.start_index} +
+ {/if} + {#if metadata.dataset.dataset_hash} +
+ Data Hash: + {metadata.dataset.dataset_hash.slice(0, 12)}... +
+ {/if} +
+
+
+ + + {#if Object.keys(metadata.models).length > 0} +
+

+ + Model Performance +

+
+ {#each Object.entries(metadata.models) as [modelName, model]} + {@const latencyRange = model.performance.latency_statistics.max - model.performance.latency_statistics.min} + {@const p50Pct = latencyRange > 0 ? ((model.performance.latency_statistics.p50 - model.performance.latency_statistics.min) / latencyRange) * 100 : 50} + {@const p95Pct = latencyRange > 0 ? ((model.performance.latency_statistics.p95 - model.performance.latency_statistics.min) / latencyRange) * 100 : 95} +
+
+
+ {modelName} + {model.model_type} +
+
+ {formatCost(model.cost.total_cost_usd)} + {formatNumber(model.token_statistics.total_tokens)} tokens +
+
+
+
+
Requests
+
{model.performance.total_requests}
+
+
+
Avg Latency
+
{formatLatency(model.performance.average_latency_seconds)}
+
+
+
Throughput
+
{model.performance.tokens_per_second.toFixed(1)} tok/s
+
+
+
P95 Latency
+
{formatLatency(model.performance.latency_statistics.p95)}
+
+
+ +
+
+
+
+
+
+
+
+
+
+ {/each} +
+
+ {/if} + + + {#if Object.keys(metadata.nodes).length > 0} +
+

+ + Node Stats +

+ + + + + + + + + + + + {#each Object.entries(metadata.nodes) as [nodeName, node]} + + + + + + + + {/each} + +
NodeTypeExecutionsAvg LatencyTokens
{nodeName} + + {node.node_type} + + {node.total_executions}{formatLatency(node.average_latency_seconds)} + {#if node.token_statistics} + {formatNumber(node.token_statistics.total_tokens)} + {:else} + - + {/if} +
+
+ {/if} + + +
+ + + Raw Metadata JSON + +
{JSON.stringify(metadata, null, 2)}
+
+
+ {:else} +
+ +

No metadata available

+

Metadata is collected when runs complete

+
+ {/if} + {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte new file mode 100644 index 00000000..c58e83fc --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte @@ -0,0 +1,697 @@ + + +
+ +
+ +
+
+ + +
+
+

+ {execution.workflow_name || 'Unknown Workflow'} +

+ + + {status.label} + +
+
+ {execution.id} + โ€ข + {formatRelativeTime(execution.started_at)} +
+
+
+ +
+ + +
+
+ + +
+
+ + Duration: + {formatDuration(execution.duration_ms)} +
+ + {#if metadata?.aggregate_statistics} +
+ + Tokens: + {formatNumber(metadata.aggregate_statistics.tokens.total_tokens)} +
+ +
+ + Cost: + {formatCost(metadata.aggregate_statistics.cost.total_cost_usd)} +
+ +
+ + Records: + {metadata.aggregate_statistics.records.total_processed} +
+ +
+ = 0.9 ? 'text-emerald-500' : 'text-amber-500'} /> + Success: + + {formatPercent(metadata.aggregate_statistics.records.success_rate)} + +
+ {/if} +
+ + +
+ {#each [ + { id: 'overview', label: 'Overview', icon: Activity }, + { id: 'timeline', label: 'Timeline', icon: Layers }, + { id: 'output', label: 'Output', icon: FileJson, count: outputCount() }, + { id: 'logs', label: 'Logs', icon: FileText, count: execution.logs.length }, + { id: 'metadata', label: 'Metadata', icon: BarChart3 } + ] as tab} + {@const TabIcon = tab.icon} + + {/each} +
+
+ + +
+ {#if activeTab === 'overview'} + +
+ + {#if metadata?.aggregate_statistics} +
+
+
+ + Total Cost +
+
+ {formatCost(metadata.aggregate_statistics.cost.total_cost_usd)} +
+
+ {formatCost(metadata.aggregate_statistics.cost.average_cost_per_record)}/record +
+
+ +
+
+ + Tokens +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_tokens)} +
+
+ {formatNumber(metadata.aggregate_statistics.tokens.total_prompt_tokens)} in / {formatNumber(metadata.aggregate_statistics.tokens.total_completion_tokens)} out +
+
+ +
+
+ + Requests +
+
+ {metadata.aggregate_statistics.requests.total_requests} +
+
+ {metadata.aggregate_statistics.requests.total_failures} failed +
+
+ +
+
+ + Duration +
+
+ {formatDuration(execution.duration_ms)} +
+
+ Started {formatDate(execution.started_at)} +
+
+
+ {/if} + + + {#if execution.error} +
+
+ + Error +
+
{execution.error}
+
+ {/if} + + +
+ +
+

+ + Execution Details +

+
+
+ Run ID + {execution.id} +
+
+ Workflow + {execution.workflow_name || '-'} +
+
+ Started + {formatDate(execution.started_at)} +
+ {#if execution.output_file} +
+ Output File + + {execution.output_file.split('/').pop()} + +
+ {/if} + {#if metadata?.execution?.git} +
+ + Git + + + {metadata.execution.git.branch} @ {metadata.execution.git.commit_hash.slice(0, 7)} + +
+ {/if} +
+
+ + + {#if metadata?.dataset} +
+

+ + Dataset +

+
+
+ Type + + {metadata.dataset.source_type === 'hf' ? 'HuggingFace' : metadata.dataset.source_type === 'servicenow' ? 'ServiceNow' : 'Local'} + +
+
+ Source + + {metadata.dataset.source_path} + +
+
+ Records + {metadata.dataset.num_records_processed} +
+ {#if metadata.dataset.dataset_hash} +
+ Hash + {metadata.dataset.dataset_hash.slice(0, 12)}... +
+ {/if} +
+
+ {/if} +
+ + + {#if metadata?.models && Object.keys(metadata.models).length > 0} +
+

+ + Models Used +

+
+ {#each Object.entries(metadata.models) as [name, model]} +
+ {name} + {model.model_type} + {formatNumber(model.token_statistics.total_tokens)} tok + {formatCost(model.cost.total_cost_usd)} +
+ {/each} +
+
+ {/if} +
+ + {:else if activeTab === 'timeline'} + +
+

+ + Node Execution Timeline +

+ + {#if Object.keys(execution.node_states).length > 0} +
+ +
+ {:else} +
+ +

No node execution data available

+
+ {/if} +
+ + {:else if activeTab === 'output'} + +
+ {#if execution.output_data} + +
+ + +
+ + + + {:else} +
+ +

No output data available

+
+ {/if} +
+ + {:else if activeTab === 'logs'} + +
+ +
+ + {:else if activeTab === 'metadata'} + + {#if metadata} +
+ +
+
+
+ +

Token Distribution

+
+
+ +
+
+ +
+
+ +

Token Usage by Model

+
+
+ +
+
+
+ + + {#if Object.keys(metadata.models).length > 0} +
+

+ + Model Performance +

+
+ + + + + + + + + + + + + {#each Object.entries(metadata.models) as [name, model]} + + + + + + + + + {/each} + +
ModelRequestsTokensAvg LatencyThroughputCost
{name}{model.performance.total_requests}{formatNumber(model.token_statistics.total_tokens)}{formatLatency(model.performance.average_latency_seconds)}{model.performance.tokens_per_second.toFixed(1)} tok/s{formatCost(model.cost.total_cost_usd)}
+
+
+ {/if} + + + {#if Object.keys(metadata.nodes).length > 0} +
+

+ + Node Statistics +

+
+ + + + + + + + + + + + {#each Object.entries(metadata.nodes) as [name, node]} + + + + + + + + {/each} + +
NodeTypeExecutionsAvg LatencyTokens
{name} + + {node.node_type} + + {node.total_executions}{formatLatency(node.average_latency_seconds)} + {node.token_statistics ? formatNumber(node.token_statistics.total_tokens) : '-'} +
+
+
+ {/if} + + +
+ + + Raw Metadata JSON + +
{JSON.stringify(metadata, null, 2)}
+
+
+ {:else} +
+ +

No metadata available

+

Metadata is collected when runs complete

+
+ {/if} + {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunQuickStats.svelte b/studio/frontend/src/lib/components/runs/RunQuickStats.svelte new file mode 100644 index 00000000..ad4a9e9f --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunQuickStats.svelte @@ -0,0 +1,110 @@ + + +
+ +
+
+ + {stats().completed} +
+
+ + {stats().failed} +
+ {#if stats().running > 0} +
+ + {stats().running} +
+ {/if} +
+ +
+ + +
+ = 80 ? 'text-emerald-500' : stats().successRate >= 50 ? 'text-amber-500' : 'text-red-500'} /> + + {stats().successRate.toFixed(0)}% + +
+ +
+ + +
+ + {formatNumber(stats().totalTokens)} +
+ + +
+ + {formatCost(stats().totalCost)} +
+ + +
+ + {formatDuration(stats().avgDuration)} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte new file mode 100644 index 00000000..fdc7f885 --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte @@ -0,0 +1,43 @@ + + +
+ {#each nodes() as node} + {@const widthPct = Math.max((node.duration / totalMs()) * 100, 5)} +
+ {/each} +
diff --git a/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboard.svelte b/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboard.svelte new file mode 100644 index 00000000..820b5c11 --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboard.svelte @@ -0,0 +1,638 @@ + + +
+ +
+ +
+
+ + + {stats().runningRuns} running + +
+
{runs.length}
+
+ {#if runs.length !== totalRuns}Filtered from {totalRuns}{:else}Total Runs{/if} +
+
+ + +
+
+ + {#if stats().successRate >= 90} + + {:else} + + {/if} +
+
{stats().successRate.toFixed(1)}%
+
Success Rate
+
+ + +
+
+ + {formatNumber(stats().avgTokensPerRun)}/run +
+
{formatNumber(stats().totalTokens)}
+
Total Tokens
+
+ + +
+
+ + {formatCost(stats().avgCostPerRun)}/run +
+
{formatCost(stats().totalCost)}
+
Total Cost
+
+ + +
+
+ + + {tokenSpeedStats().max > 0 ? `max ${tokenSpeedStats().max.toFixed(0)}` : '-'} + +
+
+ {tokenSpeedStats().avg > 0 ? tokenSpeedStats().avg.toFixed(0) : '-'} +
+
Avg Tokens/sec
+
+ + +
+
+ + {stats().totalRecords.toLocaleString()} records +
+
{formatDuration(stats().avgDuration)}
+
Avg Duration
+
+
+ + +
+ +
+
+ +

Token Usage by Run

+
+
+ +
+
+ + +
+
+ +

Cost by Model

+
+
+ +
+
+ + +
+
+ +

Latency Trend

+
+
+ +
+
+
+ + +
+ +
+
+ +

Runs Over Time

+
+
+ +
+
+ + +
+
+ +

Model Latency Comparison

+
+
+ +
+
+ + +
+
+ +

Node Latency Heatmap

+ + Fast + Medium + Slow + +
+
+ +
+
+
+ + + {#if Object.keys(stats().modelStats).length > 0} +
+
+ +

Model Performance Summary

+
+ + + + + + + + + + + + + + {#each Object.entries(stats().modelStats) as [name, model]} + {@const avgLatency = model.requests > 0 ? model.latency / model.requests : 0} + {@const throughput = model.latency > 0 ? model.tokens / model.latency : 0} + {@const costPerReq = model.requests > 0 ? model.cost / model.requests : 0} + + + + + + + + + + {/each} + +
ModelRequestsTotal TokensAvg LatencyThroughputTotal CostCost/Request
{name}{model.requests.toLocaleString()}{formatNumber(model.tokens)}{(avgLatency * 1000).toFixed(0)}ms + {throughput.toFixed(1)} tok/s + {formatCost(model.cost)}{formatCost(costPerReq)}
+
+ {/if} + + +
+
+ +
+
{stats().completedRuns}
+
Completed
+
+
+
+ +
+
{stats().failedRuns}
+
Failed
+
+
+
+ +
+
{Object.keys(stats().modelStats).length}
+
Models Used
+
+
+
+ +
+
{Object.keys(stats().nodeStats).length}
+
Unique Nodes
+
+
+
+
diff --git a/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboardEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboardEnhanced.svelte new file mode 100644 index 00000000..c538f12f --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunsAnalyticsDashboardEnhanced.svelte @@ -0,0 +1,434 @@ + + +
+
+
+
+

Analytics Dashboard

+

{runs.length} run{runs.length !== 1 ? 's' : ''} {#if runs.length !== totalRuns}(filtered from {totalRuns}){/if}

+
+
+
+ {#each [{ id: 'overview', label: 'Overview', icon: BarChart3 }, { id: 'models', label: 'Models', icon: Cpu }, { id: 'performance', label: 'Performance', icon: Gauge }, { id: 'cost', label: 'Cost', icon: CircleDollarSign }] as tab} + + {/each} +
+
+ +
+ {#if runs.length === 0} +
+
+
+ +
+

No Analytics Data

+

Run workflows to see analytics.

+
+
+ {:else if activeTab === 'overview'} +
+
+
+
+
+ {#if stats().successRate >= 90}Good{:else if stats().successRate < 70}Low{/if} +
+
{stats().successRate.toFixed(1)}%
+
Success Rate
+
{stats().completedRuns} completed / {stats().failedRuns} failed
+
+
+
+
+ {formatNumber(stats().avgTokensPerRun)}/run +
+
{formatNumber(stats().totalTokens)}
+
Total Tokens
+
โ†‘{formatNumber(stats().totalPromptTokens)} โ†“{formatNumber(stats().totalCompletionTokens)}
+
+
+
+
+ {formatCost(stats().avgCostPerRun)}/run +
+
{formatCost(stats().totalCost)}
+
Total Cost
+
{stats().totalRequests.toLocaleString()} requests
+
+
+
+
+ {stats().avgTokensPerSecond.toFixed(0)} tok/s +
+
{formatDuration(stats().avgDuration)}
+
Avg Duration
+
{stats().totalRecords.toLocaleString()} records
+
+
+ {#if insights().length > 0} +
+

Insights

+
+ {#each insights() as insight} +
+ {#if insight.type === 'success'}{:else if insight.type === 'warning'}{:else if insight.type === 'info'}{:else}{/if} +
{insight.title}{#if insight.metric}{insight.metric}{/if}

{insight.description}

+
+ {/each} +
+
+ {/if} +
+
+

Token Usage

+
+
+
+

Runs Over Time

+
+
+
+

Latency Trend

+
+
+
+

Cost by Model

+
+
+
+
+ {:else if activeTab === 'models'} +
+
+
+
Fastest
+
{performers().fastest.name}
+
{performers().fastest.value.toFixed(0)}ms avg
+
+
+
Cheapest
+
{performers().cheapest.name}
+
${performers().cheapest.value.toFixed(4)}/1M tok
+
+
+
Most Used
+
{performers().mostUsed.name}
+
{performers().mostUsed.value.toLocaleString()} requests
+
+
+
+

Model Latency Comparison

+
+
+ {#if Object.keys(stats().modelStats).length > 0} +
+

Model Details

+ + + + {#each Object.entries(stats().modelStats) as [name, m]} + {@const lat = m.requests > 0 ? m.latency / m.requests : 0} + {@const tput = m.latency > 0 ? m.tokens / m.latency : 0} + + + + + + + + + {/each} + +
ModelRequestsTokensLatencyThroughputCost
{name}{m.requests.toLocaleString()}{formatNumber(m.tokens)}{(lat * 1000).toFixed(0)}ms{tput.toFixed(0)} tok/s{formatCost(m.cost)}
+
+ {/if} +
+ {:else if activeTab === 'performance'} +
+
+
+
Throughput
+
{stats().avgTokensPerSecond.toFixed(0)}
+
tokens/sec avg
+
+
+
Avg Duration
+
{formatDuration(stats().avgDuration)}
+
per run
+
+
+
Records
+
{formatNumber(stats().totalRecords)}
+
processed
+
+
+
Requests
+
{formatNumber(stats().totalRequests)}
+
API calls
+
+
+
+

Throughput Over Time

+
+
+ {#if Object.keys(stats().nodeStats).length > 0} +
+

Node Performance

+
+ {#each Object.entries(stats().nodeStats).sort((a, b) => b[1].avgLatency - a[1].avgLatency) as [name, node]} + {@const max = Math.max(...Object.values(stats().nodeStats).map(n => n.avgLatency))} + {@const pct = max > 0 ? (node.avgLatency / max) * 100 : 0} +
+
{name}
+
+
+
+
{(node.avgLatency * 1000).toFixed(0)}ms
+
+ {/each} +
+
+ {/if} +
+ {:else if activeTab === 'cost'} +
+
+
+
Total Spent
+
{formatCost(stats().totalCost)}
+
{stats().completedRuns} runs
+
+
+
Avg per Run
+
{formatCost(stats().avgCostPerRun)}
+
average cost
+
+
+
Cost per 1M Tokens
+
{stats().totalTokens > 0 ? formatCost((stats().totalCost / stats().totalTokens) * 1000000) : '-'}
+
efficiency
+
+
+
+

Cost Trend

+
+
+ {#if Object.keys(stats().workflowStats).length > 0} +
+

Cost by Workflow

+
+ {#each Object.entries(stats().workflowStats).sort((a, b) => b[1].cost - a[1].cost) as [name, wf]} + {@const max = Math.max(...Object.values(stats().workflowStats).map(w => w.cost))} + {@const pct = max > 0 ? (wf.cost / max) * 100 : 0} +
+
{name}
+
+
+
+
{formatCost(wf.cost)}
+
{wf.runs} runs
+
+ {/each} +
+
+ {/if} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunsListView.svelte b/studio/frontend/src/lib/components/runs/RunsListView.svelte new file mode 100644 index 00000000..d4b79cbf --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunsListView.svelte @@ -0,0 +1,778 @@ + + +
+ +
+
+
+

Runs

+

+ {filteredRuns().length} of {executionHistory.length} runs + {#if selectionCount > 0} + โ€ข {selectionCount} selected + {/if} +

+
+
+ +
+
+ + + {#if comparisonModels().length > 0} +
+

Model Performance Comparison

+ + + + + {#each selectedRunsForComparison() as run} + + {/each} + + + + {#each comparisonModels() as modelName} + + + {#each selectedRunsForComparison() as run} + {@const model = run.metadata?.models?.[modelName]} + + {/each} + + {/each} + +
Model{run.workflow_name?.slice(0, 12) || run.id.slice(0, 8)}
{modelName} + {#if model} +
+
{model.token_statistics?.total_tokens?.toLocaleString() || 0} tokens
+
{(model.performance?.average_latency_seconds * 1000).toFixed(0)}ms avg
+
${model.cost?.total_cost_usd?.toFixed(4) || '0'}
+
+ {:else} + - + {/if} +
+
+ {/if} +
+
+ {:else} + +
+ + + + + + + + + + + + + + {#each filteredRuns() as run (run.id)} + {@const status = statusConfig[run.status] || statusConfig.pending} + {@const StatusIcon = status.icon} + {@const isSelected = selectedRunIds.has(run.id)} + selectRun(run)} + class="cursor-pointer transition-colors {isSelected ? 'bg-violet-50 dark:bg-violet-900/20' : selectedRunId === run.id ? 'bg-blue-50 dark:bg-blue-900/20' : 'hover:bg-gray-50 dark:hover:bg-gray-800'}" + > + + + + + + + + + {:else} + + + + {/each} + +
+ + + + + + + + + + + + Tokens + + + + Cost + +
+ + +
+ + {run.workflow_name || 'Unknown Workflow'} + + + {run.id.slice(0, 8)}... + +
+
+ + + {run.status} + + +
+ + {formatDate(run.started_at)} + + + {formatTime(run.started_at)} + +
+
+ + + {formatDuration(run.duration_ms)} + + + + + {formatTokens(run.metadata)} + + + + + {formatCost(run.metadata)} + +
+
+ {#if searchQuery || statusFilter !== 'all'} +

No matching runs

+

Try adjusting your filters

+ {:else} +

No runs yet

+

Execute a workflow to see runs here

+ {/if} +
+
+
+ {/if} +
+ + +{#if showDeleteConfirm} + +{/if} diff --git a/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte new file mode 100644 index 00000000..9c0bd58c --- /dev/null +++ b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte @@ -0,0 +1,1014 @@ + + + + +
+ +
+
+
+
+

Runs

+

+ {filteredRuns().length} of {executionHistory.length} runs + {#if selectionCount > 0} + โ€ข {selectionCount} selected + {/if} +

+
+
+ +
+ +
+
+ {/if} +
+ + +{#if showDeleteConfirm} + +{/if} diff --git a/studio/frontend/src/lib/components/settings/SettingsModal.svelte b/studio/frontend/src/lib/components/settings/SettingsModal.svelte new file mode 100644 index 00000000..5291518c --- /dev/null +++ b/studio/frontend/src/lib/components/settings/SettingsModal.svelte @@ -0,0 +1,547 @@ + + + + + +
e.target === e.currentTarget && onclose()} + role="dialog" + aria-modal="true" +> + +
+ +
+
+
+ +
+
+

Settings

+

Configure your SyGra Studio preferences

+
+
+ +
+ + +
+ +
+ {#each tabs as tab} + + {/each} +
+ + +
+ + {#if error} +
+ + {error} + +
+ {/if} + + {#if success} +
+ + {success} +
+ {/if} + + + {#if activeTab === 'general'} +
+
+

General Settings

+ +
+
+
+ +

About SyGra Studio

+
+

+ SyGra Studio is a visual workflow builder and execution environment for SyGra pipelines. +

+
+
Version: 1.0.0
+
+
+
+
+
+ {/if} + + + {#if activeTab === 'appearance'} +
+
+

Appearance

+ +
+
+ +
+ + + + + +
+

+ {#if currentTheme === 'system'} + Using system preference ({isDark ? 'dark' : 'light'} mode detected) + {:else} + Using {currentTheme} mode + {/if} +

+
+
+
+
+ {/if} + + + {#if activeTab === 'environment'} +
+
+
+

Environment Variables

+

Manage variables used during workflow execution

+
+
+ + +
+
+ + +
+ + {envFile} +
+ + + {#if showNewForm} +
+
+
+ + +
+
+ + +
+
+
+ + +
+
+ {/if} + + + {#if loading && envVars.length === 0} +
+ + Loading... +
+ {:else if envVars.length === 0} +
+ +

No environment variables configured

+

Click "Add Variable" to create one

+
+ {:else} +
+ + + + + + + + + + {#each envVars as envVar} + + + + + + {/each} + +
VariableValueActions
+
+ {#if envVar.is_sensitive} + + {/if} + + {envVar.key} + +
+
+
+ updateVariable(envVar.key, e.currentTarget.value)} + class="flex-1 px-2 py-1 text-sm font-mono border border-transparent hover:border-gray-300 dark:hover:border-gray-600 focus:border-violet-500 rounded bg-transparent text-gray-800 dark:text-gray-200 focus:outline-none focus:ring-1 focus:ring-violet-500" + /> + + +
+
+ +
+
+ {/if} +
+ {/if} +
+
+ + +
+ +
+
+
diff --git a/studio/frontend/src/lib/components/sidebar/Sidebar.svelte b/studio/frontend/src/lib/components/sidebar/Sidebar.svelte new file mode 100644 index 00000000..11ded7f6 --- /dev/null +++ b/studio/frontend/src/lib/components/sidebar/Sidebar.svelte @@ -0,0 +1,305 @@ + + + diff --git a/studio/frontend/src/lib/components/workflows/WorkflowsListView.svelte b/studio/frontend/src/lib/components/workflows/WorkflowsListView.svelte new file mode 100644 index 00000000..1f01e280 --- /dev/null +++ b/studio/frontend/src/lib/components/workflows/WorkflowsListView.svelte @@ -0,0 +1,646 @@ + + + + +
+ +
+
+
+

Workflows

+

+ {filteredWorkflows().length} of {workflows.length} workflows +

+
+
+ + +
+
+ + +
+ +
+ +
+ + +
+ + + {#if hasActiveFilters} + + {/if} +
+ + +
+ + +
+
+
+ + +
+ {#if viewMode === 'list'} + + + + + + + + + + + + {#each filteredWorkflows() as workflow (workflow.id)} + selectWorkflow(workflow.id)} + class="cursor-pointer transition-colors {currentWorkflow?.id === workflow.id ? 'bg-violet-50 dark:bg-violet-900/20' : 'hover:bg-gray-50 dark:hover:bg-gray-800'}" + > + + + + + + {:else} + + + + {/each} + +
+ + + + + + + + Actions + +
+
+
+ +
+
+ + {workflow.name} + + + {workflow.id} + +
+
+
+ + + {workflow.node_count} nodes + + + + + {workflow.edge_count} edges + + +
+ + +
+ + {#if openMenuId === workflow.id} +
+ + + +
+ +
+ {/if} +
+
+
+
+ {#if searchQuery} +

No matching workflows

+

Try adjusting your search

+ {:else} +
+ +
+

No workflows yet

+

Create your first workflow to get started

+ + {/if} +
+
+ {:else} + +
+ {#if filteredWorkflows().length === 0} +
+ {#if searchQuery} +

No matching workflows

+

Try adjusting your search

+ {:else} +
+ +
+

No workflows yet

+

Create your first workflow to get started

+ + {/if} +
+ {:else} +
+ {#each filteredWorkflows() as workflow (workflow.id)} +
selectWorkflow(workflow.id)} + class="group relative bg-white dark:bg-gray-800 border border-gray-200 dark:border-gray-700 rounded-xl p-5 cursor-pointer transition-all hover:shadow-lg hover:border-violet-300 dark:hover:border-violet-600 {currentWorkflow?.id === workflow.id ? 'ring-2 ring-violet-500 border-violet-500' : ''}" + > + +
+ + {#if openMenuId === workflow.id} +
+ + + +
+ +
+ {/if} +
+ + +
+
+ +
+
+

+ {workflow.name} +

+

+ {workflow.id} +

+
+
+ + +
+
+ + {workflow.node_count} nodes +
+
+ + {workflow.edge_count} edges +
+
+ + + + + + {#if currentWorkflow?.id === workflow.id} +
+ {/if} +
+ {/each} +
+ {/if} +
+ {/if} +
+
+ + +{#if deleteConfirmation.show && deleteConfirmation.workflow} + +{/if} + + +{#if renameState.show && renameState.workflow} + + + +{/if} diff --git a/studio/frontend/src/lib/stores/models.svelte.ts b/studio/frontend/src/lib/stores/models.svelte.ts new file mode 100644 index 00000000..78d44743 --- /dev/null +++ b/studio/frontend/src/lib/stores/models.svelte.ts @@ -0,0 +1,74 @@ +/** + * Models Store - Tracks model status and provides shared state between Sidebar and ModelsView + */ + +const API_BASE = '/api'; + +// Refresh interval in milliseconds (2 minutes) +const REFRESH_INTERVAL = 120000; + +function createModelsStore() { + let onlineCount = $state(0); + let totalCount = $state(0); + let lastRefresh = $state(null); + let isRefreshing = $state(false); + let refreshInterval: ReturnType | null = null; + + async function refreshCounts() { + try { + const res = await fetch(`${API_BASE}/models`); + if (res.ok) { + const data = await res.json(); + const models = data.models || []; + totalCount = models.length; + onlineCount = models.filter((m: any) => m.status === 'online').length; + lastRefresh = new Date(); + } + } catch (e) { + console.error('Failed to refresh model counts:', e); + } + } + + function startAutoRefresh() { + // Initial load + refreshCounts(); + + // Set up periodic refresh + if (!refreshInterval) { + refreshInterval = setInterval(refreshCounts, REFRESH_INTERVAL); + } + } + + function stopAutoRefresh() { + if (refreshInterval) { + clearInterval(refreshInterval); + refreshInterval = null; + } + } + + // Update counts directly (called by ModelsView after ping) + function updateCounts(online: number, total: number) { + onlineCount = online; + totalCount = total; + lastRefresh = new Date(); + } + + function setRefreshing(value: boolean) { + isRefreshing = value; + } + + return { + get onlineCount() { return onlineCount; }, + get totalCount() { return totalCount; }, + get lastRefresh() { return lastRefresh; }, + get isRefreshing() { return isRefreshing; }, + + refreshCounts, + startAutoRefresh, + stopAutoRefresh, + updateCounts, + setRefreshing + }; +} + +export const modelsStore = createModelsStore(); diff --git a/studio/frontend/src/lib/stores/recipe.svelte.ts b/studio/frontend/src/lib/stores/recipe.svelte.ts new file mode 100644 index 00000000..d98af1b7 --- /dev/null +++ b/studio/frontend/src/lib/stores/recipe.svelte.ts @@ -0,0 +1,270 @@ +/** + * Recipe Store - Manages reusable workflow templates (recipes) + * + * Allows users to save subgraphs as recipes and reuse them in other workflows. + * Persists to localStorage for now, can be extended to API backend later. + */ + +import type { WorkflowNode, WorkflowEdge } from './workflow.svelte'; + +const STORAGE_KEY = 'sygra_recipes'; + +// Recipe categories for organization +export type RecipeCategory = 'llm' | 'data' | 'transform' | 'agent' | 'utility' | 'custom'; + +export interface Recipe { + id: string; + name: string; + description: string; + category: RecipeCategory; + tags: string[]; + nodes: WorkflowNode[]; + edges: WorkflowEdge[]; + createdAt: string; + updatedAt: string; + author?: string; + version: string; + // Preview metadata + nodeCount: number; + edgeCount: number; + nodeTypes: string[]; +} + +export interface RecipeInput { + name: string; + description: string; + category: RecipeCategory; + tags: string[]; + nodes: WorkflowNode[]; + edges: WorkflowEdge[]; + author?: string; +} + +// Generate unique ID +function generateId(): string { + return `recipe_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; +} + +// Normalize node positions to start from (0, 0) +function normalizePositions(nodes: WorkflowNode[]): WorkflowNode[] { + if (nodes.length === 0) return nodes; + + const minX = Math.min(...nodes.map(n => n.position.x)); + const minY = Math.min(...nodes.map(n => n.position.y)); + + return nodes.map(node => ({ + ...node, + position: { + x: node.position.x - minX, + y: node.position.y - minY + } + })); +} + +// Recipe Store using Svelte 5 Runes +function createRecipeStore() { + let recipes = $state([]); + let isLoading = $state(false); + let searchQuery = $state(''); + let selectedCategory = $state('all'); + + // Check if we're in browser environment + const isBrowser = typeof window !== 'undefined'; + + // Load recipes from localStorage + function loadRecipes() { + if (!isBrowser) return; + try { + const stored = localStorage.getItem(STORAGE_KEY); + if (stored) { + recipes = JSON.parse(stored); + } + } catch (e) { + console.error('Failed to load recipes:', e); + recipes = []; + } + } + + // Save recipes to localStorage + function saveRecipes() { + if (!isBrowser) return; + try { + localStorage.setItem(STORAGE_KEY, JSON.stringify(recipes)); + } catch (e) { + console.error('Failed to save recipes:', e); + } + } + + // Initialize on first access + loadRecipes(); + + return { + get recipes() { return recipes; }, + get isLoading() { return isLoading; }, + get searchQuery() { return searchQuery; }, + set searchQuery(value: string) { searchQuery = value; }, + get selectedCategory() { return selectedCategory; }, + set selectedCategory(value: RecipeCategory | 'all') { selectedCategory = value; }, + + // Filtered recipes based on search and category + get filteredRecipes() { + let filtered = recipes; + + // Filter by category + if (selectedCategory !== 'all') { + filtered = filtered.filter(r => r.category === selectedCategory); + } + + // Filter by search query + if (searchQuery.trim()) { + const query = searchQuery.toLowerCase(); + filtered = filtered.filter(r => + r.name.toLowerCase().includes(query) || + r.description.toLowerCase().includes(query) || + r.tags.some(t => t.toLowerCase().includes(query)) + ); + } + + return filtered; + }, + + // Add a new recipe + addRecipe(input: RecipeInput): Recipe { + const normalizedNodes = normalizePositions(input.nodes); + const nodeTypes = [...new Set(normalizedNodes.map(n => n.node_type))]; + + const recipe: Recipe = { + id: generateId(), + name: input.name, + description: input.description, + category: input.category, + tags: input.tags, + nodes: normalizedNodes, + edges: input.edges, + createdAt: new Date().toISOString(), + updatedAt: new Date().toISOString(), + author: input.author, + version: '1.0.0', + nodeCount: normalizedNodes.length, + edgeCount: input.edges.length, + nodeTypes + }; + + recipes = [recipe, ...recipes]; + saveRecipes(); + return recipe; + }, + + // Update an existing recipe + updateRecipe(id: string, updates: Partial): Recipe | null { + const index = recipes.findIndex(r => r.id === id); + if (index === -1) return null; + + const existing = recipes[index]; + const normalizedNodes = updates.nodes + ? normalizePositions(updates.nodes) + : existing.nodes; + const nodeTypes = [...new Set(normalizedNodes.map(n => n.node_type))]; + + const updated: Recipe = { + ...existing, + ...updates, + nodes: normalizedNodes, + edges: updates.edges ?? existing.edges, + updatedAt: new Date().toISOString(), + nodeCount: normalizedNodes.length, + edgeCount: (updates.edges ?? existing.edges).length, + nodeTypes + }; + + recipes = [...recipes.slice(0, index), updated, ...recipes.slice(index + 1)]; + saveRecipes(); + return updated; + }, + + // Delete a recipe + deleteRecipe(id: string): boolean { + const index = recipes.findIndex(r => r.id === id); + if (index === -1) return false; + + recipes = [...recipes.slice(0, index), ...recipes.slice(index + 1)]; + saveRecipes(); + return true; + }, + + // Get a recipe by ID + getRecipe(id: string): Recipe | undefined { + return recipes.find(r => r.id === id); + }, + + // Duplicate a recipe + duplicateRecipe(id: string): Recipe | null { + const original = recipes.find(r => r.id === id); + if (!original) return null; + + return this.addRecipe({ + name: `${original.name} (Copy)`, + description: original.description, + category: original.category, + tags: [...original.tags], + nodes: JSON.parse(JSON.stringify(original.nodes)), + edges: JSON.parse(JSON.stringify(original.edges)), + author: original.author + }); + }, + + // Export recipe as JSON + exportRecipe(id: string): string | null { + const recipe = recipes.find(r => r.id === id); + if (!recipe) return null; + return JSON.stringify(recipe, null, 2); + }, + + // Import recipe from JSON + importRecipe(json: string): Recipe | null { + try { + const data = JSON.parse(json); + if (!data.name || !data.nodes || !data.edges) { + throw new Error('Invalid recipe format'); + } + + return this.addRecipe({ + name: data.name, + description: data.description || '', + category: data.category || 'custom', + tags: data.tags || [], + nodes: data.nodes, + edges: data.edges, + author: data.author + }); + } catch (e) { + console.error('Failed to import recipe:', e); + return null; + } + }, + + // Clear all recipes + clearAll() { + recipes = []; + saveRecipes(); + }, + + // Reload from storage + reload() { + loadRecipes(); + } + }; +} + +// Export singleton store instance +export const recipeStore = createRecipeStore(); + +// Category metadata for UI +export const RECIPE_CATEGORIES: { value: RecipeCategory; label: string; icon: string; color: string }[] = [ + { value: 'llm', label: 'LLM Patterns', icon: 'brain', color: '#8b5cf6' }, + { value: 'data', label: 'Data Processing', icon: 'database', color: '#3b82f6' }, + { value: 'transform', label: 'Transformations', icon: 'shuffle', color: '#f59e0b' }, + { value: 'agent', label: 'Agents', icon: 'bot', color: '#ec4899' }, + { value: 'utility', label: 'Utilities', icon: 'wrench', color: '#6b7280' }, + { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#10b981' } +]; diff --git a/studio/frontend/src/lib/stores/theme.svelte.ts b/studio/frontend/src/lib/stores/theme.svelte.ts new file mode 100644 index 00000000..81569609 --- /dev/null +++ b/studio/frontend/src/lib/stores/theme.svelte.ts @@ -0,0 +1,78 @@ +/** + * Theme Store - Manages dark/light mode with localStorage persistence + */ + +const STORAGE_KEY = 'sygra-studio-theme'; + +type Theme = 'light' | 'dark' | 'system'; + +interface ThemeState { + theme: Theme; + isDark: boolean; +} + +function createThemeStore() { + let theme = $state('system'); + let isDark = $state(false); + + // Initialize from localStorage or system preference + function init() { + if (typeof window === 'undefined') return; + + const stored = localStorage.getItem(STORAGE_KEY) as Theme | null; + if (stored && ['light', 'dark', 'system'].includes(stored)) { + theme = stored; + } + + updateDarkMode(); + + // Listen for system theme changes + if (window.matchMedia) { + window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => { + if (theme === 'system') { + updateDarkMode(); + } + }); + } + } + + function updateDarkMode() { + if (typeof window === 'undefined') return; + + if (theme === 'system') { + isDark = window.matchMedia?.('(prefers-color-scheme: dark)').matches ?? false; + } else { + isDark = theme === 'dark'; + } + + // Apply to document + if (isDark) { + document.documentElement.classList.add('dark'); + } else { + document.documentElement.classList.remove('dark'); + } + } + + function setTheme(newTheme: Theme) { + theme = newTheme; + if (typeof window !== 'undefined') { + localStorage.setItem(STORAGE_KEY, newTheme); + } + updateDarkMode(); + } + + function toggle() { + // Simple toggle between light and dark + setTheme(isDark ? 'light' : 'dark'); + } + + return { + get theme() { return theme; }, + get isDark() { return isDark; }, + init, + setTheme, + toggle + }; +} + +export const themeStore = createThemeStore(); diff --git a/studio/frontend/src/lib/stores/tool.svelte.ts b/studio/frontend/src/lib/stores/tool.svelte.ts new file mode 100644 index 00000000..f242a173 --- /dev/null +++ b/studio/frontend/src/lib/stores/tool.svelte.ts @@ -0,0 +1,258 @@ +/** + * Tool Store - Manages reusable tools for LLM/Agent nodes + * + * Allows users to create, manage, and reuse tools across workflows. + * Tools are Python functions decorated with @tool from langchain. + */ + +const STORAGE_KEY = 'sygra_tools'; + +export type ToolCategory = 'search' | 'data' | 'api' | 'utility' | 'custom'; + +export interface Tool { + id: string; + name: string; + description: string; + category: ToolCategory; + code: string; + import_path: string; + parameters?: ToolParameter[]; + createdAt: string; + updatedAt: string; + author?: string; +} + +export interface ToolParameter { + name: string; + type: string; + description: string; + required: boolean; + default?: string; +} + +export interface ToolInput { + name: string; + description: string; + category: ToolCategory; + code: string; + import_path: string; + parameters?: ToolParameter[]; + author?: string; +} + +// Generate unique ID +function generateId(): string { + return `tool_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; +} + +// Tool Store using Svelte 5 Runes +function createToolStore() { + let tools = $state([]); + let isLoading = $state(false); + let searchQuery = $state(''); + let selectedCategory = $state('all'); + + // Check if we're in browser environment + const isBrowser = typeof window !== 'undefined'; + + // Load tools from localStorage + function loadTools() { + if (!isBrowser) return; + try { + const stored = localStorage.getItem(STORAGE_KEY); + if (stored) { + tools = JSON.parse(stored); + } + } catch (e) { + console.error('Failed to load tools:', e); + tools = []; + } + } + + // Save tools to localStorage + function saveTools() { + if (!isBrowser) return; + try { + localStorage.setItem(STORAGE_KEY, JSON.stringify(tools)); + } catch (e) { + console.error('Failed to save tools:', e); + } + } + + // Initialize on first access + loadTools(); + + return { + get tools() { return tools; }, + get isLoading() { return isLoading; }, + get searchQuery() { return searchQuery; }, + set searchQuery(value: string) { searchQuery = value; }, + get selectedCategory() { return selectedCategory; }, + set selectedCategory(value: ToolCategory | 'all') { selectedCategory = value; }, + + // Filtered tools based on search and category + get filteredTools() { + let filtered = tools; + + // Filter by category + if (selectedCategory !== 'all') { + filtered = filtered.filter(t => t.category === selectedCategory); + } + + // Filter by search query + if (searchQuery.trim()) { + const query = searchQuery.toLowerCase(); + filtered = filtered.filter(t => + t.name.toLowerCase().includes(query) || + t.description.toLowerCase().includes(query) || + t.import_path.toLowerCase().includes(query) + ); + } + + return filtered; + }, + + // Add a new tool + addTool(input: ToolInput): Tool { + const tool: Tool = { + id: generateId(), + name: input.name, + description: input.description, + category: input.category, + code: input.code, + import_path: input.import_path, + parameters: input.parameters, + createdAt: new Date().toISOString(), + updatedAt: new Date().toISOString(), + author: input.author + }; + + tools = [tool, ...tools]; + saveTools(); + return tool; + }, + + // Update an existing tool + updateTool(id: string, updates: Partial): Tool | null { + const index = tools.findIndex(t => t.id === id); + if (index === -1) return null; + + const existing = tools[index]; + const updated: Tool = { + ...existing, + ...updates, + updatedAt: new Date().toISOString() + }; + + tools = [...tools.slice(0, index), updated, ...tools.slice(index + 1)]; + saveTools(); + return updated; + }, + + // Delete a tool + deleteTool(id: string): boolean { + const index = tools.findIndex(t => t.id === id); + if (index === -1) return false; + + tools = [...tools.slice(0, index), ...tools.slice(index + 1)]; + saveTools(); + return true; + }, + + // Get a tool by ID + getTool(id: string): Tool | undefined { + return tools.find(t => t.id === id); + }, + + // Get tool by import path + getToolByPath(path: string): Tool | undefined { + return tools.find(t => t.import_path === path); + }, + + // Duplicate a tool + duplicateTool(id: string): Tool | null { + const original = tools.find(t => t.id === id); + if (!original) return null; + + return this.addTool({ + name: `${original.name} (Copy)`, + description: original.description, + category: original.category, + code: original.code, + import_path: `${original.import_path}_copy`, + parameters: original.parameters ? [...original.parameters] : undefined, + author: original.author + }); + }, + + // Export tool as JSON + exportTool(id: string): string | null { + const tool = tools.find(t => t.id === id); + if (!tool) return null; + return JSON.stringify(tool, null, 2); + }, + + // Import tool from JSON + importTool(json: string): Tool | null { + try { + const data = JSON.parse(json); + if (!data.name || !data.code || !data.import_path) { + throw new Error('Invalid tool format'); + } + + return this.addTool({ + name: data.name, + description: data.description || '', + category: data.category || 'custom', + code: data.code, + import_path: data.import_path, + parameters: data.parameters, + author: data.author + }); + } catch (e) { + console.error('Failed to import tool:', e); + return null; + } + }, + + // Clear all tools + clearAll() { + tools = []; + saveTools(); + }, + + // Reload from storage + reload() { + loadTools(); + } + }; +} + +// Export singleton store instance +export const toolStore = createToolStore(); + +// Category metadata for UI +export const TOOL_CATEGORIES: { value: ToolCategory; label: string; icon: string; color: string }[] = [ + { value: 'search', label: 'Search', icon: 'search', color: '#3b82f6' }, + { value: 'data', label: 'Data', icon: 'database', color: '#10b981' }, + { value: 'api', label: 'API', icon: 'globe', color: '#f59e0b' }, + { value: 'utility', label: 'Utility', icon: 'wrench', color: '#6b7280' }, + { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#8b5cf6' } +]; + +// Default tool template +export const DEFAULT_TOOL_CODE = `from langchain_core.tools import tool + +@tool +def my_tool(query: str) -> str: + """Description of what this tool does. + + Args: + query: The input query to process. + + Returns: + The result of processing the query. + """ + # Implement your tool logic here + return f"Processed: {query}" +`; diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts new file mode 100644 index 00000000..206b5ec6 --- /dev/null +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -0,0 +1,1506 @@ +/** + * Workflow Store - Global state management using Svelte 5 Runes + * + * Manages workflows, executions, and UI state for the SyGra Workflow Studio. + */ + +const API_BASE = '/api'; + +// Types +export interface WorkflowSummary { + id: string; + name: string; + source_path: string; + node_count: number; + edge_count: number; +} + +export interface ModelConfig { + name: string; + provider?: string; + parameters?: Record; +} + +export interface PromptMessage { + role: string; + content: string; +} + +// Weighted sampler attribute configuration +export interface SamplerAttribute { + values: (string | number)[]; + weights?: number[]; +} + +export interface SamplerConfig { + attributes: Record; +} + +// Inner graph structure for expanded subgraphs +export interface InnerGraph { + name: string; + nodes: WorkflowNode[]; + edges: WorkflowEdge[]; +} + +export interface WorkflowNode { + id: string; + node_type: 'data' | 'start' | 'end' | 'output' | 'llm' | 'agent' | 'lambda' | 'subgraph' | 'branch' | 'weighted_sampler'; + summary: string; + description?: string; + model?: ModelConfig; + prompt?: PromptMessage[]; + pre_process?: string; + post_process?: string; + function_path?: string; + subgraph_path?: string; + inner_graph?: InnerGraph; // Expanded subgraph contents + position: { x: number; y: number }; + size?: { width: number; height: number }; + metadata?: Record; + // Data source specific fields + data_config?: DataSourceConfig; + // Output specific fields + output_config?: OutputConfig; + // Weighted sampler specific fields + sampler_config?: SamplerConfig; + // Tool calling fields (for LLM/Agent nodes) + tools?: string[]; + tool_choice?: 'auto' | 'required' | 'none'; +} + +export interface AvailableModel { + name: string; + model_type: string; + model: string; + parameters: Record; + output_type?: string; + input_type?: string; +} + +export interface EdgeCondition { + condition_path: string; + path_map: Record; +} + +export interface WorkflowEdge { + id: string; + source: string; + target: string; + label?: string; + is_conditional: boolean; + condition?: EdgeCondition; +} + +// Data source configuration types (matches SyGra YAML structure) +export interface DataSourceDetails { + type: 'hf' | 'disk' | 'servicenow'; + // HuggingFace + repo_id?: string; + config_name?: string; + split?: string | string[]; + streaming?: boolean; + // Disk/File + file_path?: string; + file_format?: string; + encoding?: string; + // ServiceNow + table?: string; + query?: string; + fields?: string[]; + filters?: Record; + limit?: number; + batch_size?: number; + order_by?: string; + // Transformations + transformations?: Array<{ + transform: string; + params?: Record; + }>; +} + +export interface DataSinkDetails { + type: 'hf' | 'disk' | 'servicenow' | 'json' | 'jsonl'; + alias?: string; + // HuggingFace + repo_id?: string; + split?: string; + // Disk/File + file_path?: string; + // ServiceNow + table?: string; + operation?: 'insert' | 'update'; +} + +export interface DataSourceConfig { + source?: DataSourceDetails | DataSourceDetails[]; + sink?: DataSinkDetails | DataSinkDetails[]; + // Internal fields for code storage (stripped before save to YAML) + _transform_code?: string; +} + +export interface OutputConfig { + type?: 'hf' | 'json' | 'jsonl' | 'csv' | 'parquet' | 'servicenow'; + file_path?: string; + filename?: string; + repo_id?: string; + table?: string; + generator?: string; + output_map?: Record; + // Internal fields for code storage (stripped before save to YAML) + _generator_code?: string; +} + +export interface Workflow { + id: string; + name: string; + description?: string; + source_path: string; + nodes: WorkflowNode[]; + edges: WorkflowEdge[]; + data_config?: DataSourceConfig; + output_config?: OutputConfig; + schema_config?: Record; + state_variables?: string[]; +} + +// Execution options matching main.py CLI arguments +export interface ExecutionOptions { + inputData: Record; + startIndex: number; + numRecords: number; + batchSize: number; + checkpointInterval: number; + runName: string; + outputWithTs: boolean; + outputDir: string; + debug: boolean; + resume: boolean | null; + quality: boolean; + disableMetadata: boolean; + runArgs: Record; +} + +export interface NodeExecutionState { + status: 'pending' | 'running' | 'completed' | 'failed'; + started_at?: string; + completed_at?: string; + duration_ms?: number; + error?: string; +} + +export interface Execution { + id: string; + workflow_id: string; + workflow_name: string; + status: 'pending' | 'running' | 'completed' | 'failed' | 'cancelled'; + current_node?: string; + started_at?: string; + completed_at?: string; + duration_ms?: number; + input_data: Record; + output_data?: unknown; + output_file?: string; + metadata_file?: string; + metadata?: ExecutionMetadata; + node_states: Record; + error?: string; + logs: string[]; +} + +// Rich metadata from SyGra execution +export interface ExecutionMetadata { + metadata_version: string; + generated_at: string; + execution: { + task_name: string; + run_name: string; + output_dir: string; + batch_size: number; + checkpoint_interval: number; + resumable?: boolean; + debug: boolean; + environment: { + python_version: string; + sygra_version: string; + }; + git?: { + commit_hash: string; + branch: string; + is_dirty: boolean; + }; + timing: { + start_time: string; + end_time: string; + duration_seconds: number; + }; + }; + dataset: { + source_type: string; + source_path: string; + num_records_processed: number; + start_index: number; + dataset_version: string; + dataset_hash: string; + }; + aggregate_statistics: { + records: { + total_processed: number; + total_failed: number; + success_rate: number; + }; + tokens: { + total_prompt_tokens: number; + total_completion_tokens: number; + total_tokens: number; + }; + requests: { + total_requests: number; + total_retries: number; + total_failures: number; + retry_rate: number; + failure_rate: number; + }; + cost: { + total_cost_usd: number; + average_cost_per_record: number; + }; + }; + models: Record; + nodes: Record; +} + +export interface ModelMetrics { + model_name: string; + model_type: string; + model_url: string; + token_statistics: { + total_prompt_tokens: number; + total_completion_tokens: number; + total_tokens: number; + avg_prompt_tokens: number; + avg_completion_tokens: number; + avg_total_tokens: number; + }; + performance: { + total_requests: number; + total_retries: number; + total_failures: number; + failure_rate: number; + total_latency_seconds: number; + average_latency_seconds: number; + tokens_per_second: number; + latency_statistics: LatencyStats; + }; + cost: { + total_cost_usd: number; + average_cost_per_request: number; + }; + response_code_distribution: Record; + parameters: Record; +} + +export interface NodeMetrics { + node_name: string; + node_type: string; + model_name?: string; + total_executions: number; + total_failures: number; + failure_rate: number; + total_latency_seconds: number; + average_latency_seconds: number; + latency_statistics: LatencyStats; + token_statistics?: { + total_prompt_tokens: number; + total_completion_tokens: number; + total_tokens: number; + avg_prompt_tokens: number; + avg_completion_tokens: number; + avg_total_tokens: number; + }; +} + +export interface LatencyStats { + min: number; + max: number; + mean: number; + median: number; + std_dev: number; + p50: number; + p95: number; + p99: number; +} + +// Workflow Store +function createWorkflowStore() { + let workflows = $state([]); + let currentWorkflow = $state(null); + let availableModels = $state([]); + let loading = $state(false); + + // Undo/Redo state + const MAX_UNDO_STACK = 50; + let undoStack = $state>([]); + let redoStack = $state>([]); + + // Push current state to undo stack (call before making changes) + function pushUndoState() { + if (!currentWorkflow) return; + + // Deep clone current state + const snapshot = { + nodes: JSON.parse(JSON.stringify(currentWorkflow.nodes)), + edges: JSON.parse(JSON.stringify(currentWorkflow.edges)) + }; + + undoStack = [...undoStack.slice(-MAX_UNDO_STACK + 1), snapshot]; + // Clear redo stack when new action is taken + redoStack = []; + } + let error = $state(null); + + return { + get workflows() { return workflows; }, + get currentWorkflow() { return currentWorkflow; }, + get availableModels() { return availableModels; }, + get loading() { return loading; }, + get error() { return error; }, + get canUndo() { return undoStack.length > 0; }, + get canRedo() { return redoStack.length > 0; }, + + // Push state for undo (call before changes) + pushUndo() { + pushUndoState(); + }, + + // Undo last action + undo(): boolean { + if (!currentWorkflow || undoStack.length === 0) return false; + + // Save current state to redo stack + const currentSnapshot = { + nodes: JSON.parse(JSON.stringify(currentWorkflow.nodes)), + edges: JSON.parse(JSON.stringify(currentWorkflow.edges)) + }; + redoStack = [...redoStack, currentSnapshot]; + + // Pop from undo stack and apply + const previousState = undoStack[undoStack.length - 1]; + undoStack = undoStack.slice(0, -1); + + currentWorkflow = { + ...currentWorkflow, + nodes: previousState.nodes, + edges: previousState.edges + }; + + return true; + }, + + // Redo last undone action + redo(): boolean { + if (!currentWorkflow || redoStack.length === 0) return false; + + // Save current state to undo stack + const currentSnapshot = { + nodes: JSON.parse(JSON.stringify(currentWorkflow.nodes)), + edges: JSON.parse(JSON.stringify(currentWorkflow.edges)) + }; + undoStack = [...undoStack, currentSnapshot]; + + // Pop from redo stack and apply + const nextState = redoStack[redoStack.length - 1]; + redoStack = redoStack.slice(0, -1); + + currentWorkflow = { + ...currentWorkflow, + nodes: nextState.nodes, + edges: nextState.edges + }; + + return true; + }, + + // Clear undo/redo history + clearUndoHistory() { + undoStack = []; + redoStack = []; + }, + + async loadWorkflows() { + loading = true; + error = null; + try { + const response = await fetch(`${API_BASE}/workflows`); + if (!response.ok) throw new Error('Failed to load workflows'); + workflows = await response.json(); + } catch (e) { + error = e instanceof Error ? e.message : 'Unknown error'; + } finally { + loading = false; + } + }, + + async deleteWorkflow(id: string): Promise { + loading = true; + error = null; + try { + const response = await fetch(`${API_BASE}/workflows/${id}`, { + method: 'DELETE' + }); + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error(errorData.detail || 'Failed to delete workflow'); + } + // Remove from local list + workflows = workflows.filter(w => w.id !== id); + // Clear current workflow if it was the deleted one + if (currentWorkflow?.id === id) { + currentWorkflow = null; + } + return true; + } catch (e) { + error = e instanceof Error ? e.message : 'Unknown error'; + return false; + } finally { + loading = false; + } + }, + + async renameWorkflow(id: string, newName: string): Promise { + loading = true; + error = null; + try { + const response = await fetch(`${API_BASE}/workflows/${id}/rename`, { + method: 'PATCH', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ name: newName }) + }); + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error(errorData.detail || 'Failed to rename workflow'); + } + // Update in local list + workflows = workflows.map(w => w.id === id ? { ...w, name: newName } : w); + // Update current workflow if it's the renamed one + if (currentWorkflow?.id === id) { + currentWorkflow = { ...currentWorkflow, name: newName }; + } + return true; + } catch (e) { + error = e instanceof Error ? e.message : 'Unknown error'; + return false; + } finally { + loading = false; + } + }, + + async loadWorkflow(id: string): Promise { + loading = true; + error = null; + try { + const response = await fetch(`${API_BASE}/workflows/${id}`); + if (!response.ok) throw new Error('Failed to load workflow'); + currentWorkflow = await response.json(); + return currentWorkflow; + } catch (e) { + error = e instanceof Error ? e.message : 'Unknown error'; + return null; + } finally { + loading = false; + } + }, + + async loadAvailableModels() { + try { + const response = await fetch(`${API_BASE}/models`); + if (!response.ok) throw new Error('Failed to load models'); + const data = await response.json(); + availableModels = data.models || []; + } catch (e) { + console.error('Failed to load models:', e); + availableModels = []; + } + }, + + async updateNode(nodeId: string, nodeData: Partial & { newId?: string }) { + if (!currentWorkflow) { + console.error('updateNode: No current workflow'); + return false; + } + + console.log('updateNode:', nodeId, nodeData); + + // Extract newId if present (for renaming) + const { newId, ...restNodeData } = nodeData; + + // Check if this is a new workflow (not yet saved to backend) + const isNewWorkflow = currentWorkflow.id.startsWith('new_'); + + // For new workflows, only update local state + if (isNewWorkflow) { + const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); + if (nodeIndex !== -1) { + const updatedNodes = [...currentWorkflow.nodes]; + const finalId = newId || nodeId; + updatedNodes[nodeIndex] = { + ...updatedNodes[nodeIndex], + ...restNodeData, + id: finalId + }; + + // If ID changed, update all edges referencing this node + if (newId && newId !== nodeId) { + const updatedEdges = currentWorkflow.edges.map(edge => ({ + ...edge, + source: edge.source === nodeId ? newId : edge.source, + target: edge.target === nodeId ? newId : edge.target + })); + currentWorkflow = { + ...currentWorkflow, + nodes: updatedNodes, + edges: updatedEdges + }; + } else { + currentWorkflow = { + ...currentWorkflow, + nodes: updatedNodes + }; + } + } + return true; + } + + // For existing workflows, call the API + try { + // Include newId in the API request if present + const apiData = newId ? { ...restNodeData, new_id: newId } : restNodeData; + + const response = await fetch( + `${API_BASE}/workflows/${currentWorkflow.id}/nodes/${nodeId}`, + { + method: 'PUT', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(apiData) + } + ); + + if (!response.ok) { + const errorData = await response.json(); + throw new Error(errorData.detail || 'Failed to update node'); + } + + const result = await response.json(); + console.log('updateNode result:', result); + + // Update local state + const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); + if (nodeIndex !== -1) { + const finalId = newId || nodeId; + currentWorkflow.nodes[nodeIndex] = { + ...currentWorkflow.nodes[nodeIndex], + ...restNodeData, + id: finalId + }; + + // If ID changed, update all edges referencing this node + if (newId && newId !== nodeId) { + const updatedEdges = currentWorkflow.edges.map(edge => ({ + ...edge, + source: edge.source === nodeId ? newId : edge.source, + target: edge.target === nodeId ? newId : edge.target + })); + currentWorkflow = { + ...currentWorkflow, + nodes: [...currentWorkflow.nodes], + edges: updatedEdges + }; + } else { + // Trigger reactivity by creating new array and workflow object + currentWorkflow = { + ...currentWorkflow, + nodes: [...currentWorkflow.nodes] + }; + } + } + + return true; + } catch (e) { + console.error('updateNode error:', e); + error = e instanceof Error ? e.message : 'Unknown error'; + return false; + } + }, + + async updateDataConfig(dataConfig: DataSourceConfig) { + if (!currentWorkflow) { + console.error('updateDataConfig: No current workflow'); + return false; + } + + console.log('updateDataConfig:', dataConfig); + + // Check if this is a new workflow (not yet saved to backend) + const isNewWorkflow = currentWorkflow.id.startsWith('new_'); + + // For new workflows, only update local state + if (isNewWorkflow) { + currentWorkflow = { + ...currentWorkflow, + data_config: dataConfig + }; + return true; + } + + // For existing workflows, call the API + try { + const response = await fetch( + `${API_BASE}/workflows/${currentWorkflow.id}/data-config`, + { + method: 'PUT', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(dataConfig) + } + ); + + if (!response.ok) { + const errorData = await response.json(); + throw new Error(errorData.detail || 'Failed to update data config'); + } + + const result = await response.json(); + console.log('updateDataConfig result:', result); + + // Update local state + currentWorkflow = { + ...currentWorkflow, + data_config: dataConfig + }; + + return true; + } catch (e) { + console.error('updateDataConfig error:', e); + error = e instanceof Error ? e.message : 'Unknown error'; + return false; + } + }, + + clearCurrentWorkflow() { + currentWorkflow = null; + }, + + // Set a workflow directly (useful for duplicating) + setCurrentWorkflow(workflow: Workflow) { + currentWorkflow = workflow; + }, + + // Create a new empty workflow for the builder + createNewWorkflow(name: string = 'New Workflow') { + const id = `new_${Date.now()}`; + currentWorkflow = { + id, + name, + description: '', + source_path: '', + nodes: [ + { + id: 'START', + node_type: 'start', + summary: 'Start', + position: { x: 150, y: 300 } + }, + { + id: 'END', + node_type: 'end', + summary: 'End', + position: { x: 900, y: 300 } + } + ], + edges: [] + }; + return currentWorkflow; + }, + + // Add a node to the current workflow + addNode(nodeType: string, position: { x: number; y: number }) { + if (!currentWorkflow) return null; + + const id = `${nodeType}_${Date.now()}`; + const newNode: WorkflowNode = { + id, + node_type: nodeType, + summary: nodeType.charAt(0).toUpperCase() + nodeType.slice(1), + position + }; + + // Add default properties based on node type + if (nodeType === 'llm') { + newNode.model = { name: 'gpt-4o-mini', parameters: { temperature: 0.7 } }; + newNode.prompt = [{ role: 'system', content: '' }]; + } else if (nodeType === 'lambda') { + newNode.function_path = ''; + } + + currentWorkflow = { + ...currentWorkflow, + nodes: [...currentWorkflow.nodes, newNode] + }; + + return newNode; + }, + + // Add an edge to the current workflow + addEdge(source: string, target: string, isConditional: boolean = false) { + if (!currentWorkflow) return null; + + const id = `${source}-${target}`; + // Check if edge already exists + if (currentWorkflow.edges.some(e => e.id === id)) { + return null; + } + + const newEdge: WorkflowEdge = { + id, + source, + target, + is_conditional: isConditional + }; + + currentWorkflow = { + ...currentWorkflow, + edges: [...currentWorkflow.edges, newEdge] + }; + + return newEdge; + }, + + // Add recipe as a subgraph node to the current workflow + addRecipeToWorkflow( + nodes: WorkflowNode[], + edges: WorkflowEdge[], + offsetPosition?: { x: number; y: number }, + recipeName?: string + ): { nodes: WorkflowNode[]; edges: WorkflowEdge[] } | null { + if (!currentWorkflow) return null; + + const timestamp = Date.now(); + const offset = offsetPosition || { x: 400, y: 200 }; + + // Normalize inner node positions to start from (0, 0) + let minX = Infinity, minY = Infinity; + for (const node of nodes) { + minX = Math.min(minX, node.position.x); + minY = Math.min(minY, node.position.y); + } + + const innerNodes: WorkflowNode[] = nodes.map(node => ({ + ...node, + position: { + x: node.position.x - minX + 20, // Add padding + y: node.position.y - minY + 20 + } + })); + + // Create a single subgraph node containing the recipe + const subgraphNode: WorkflowNode = { + id: `subgraph_${timestamp}`, + node_type: 'subgraph', + summary: recipeName || 'Imported Subgraph', + position: offset, + inner_graph: { + name: recipeName || 'Subgraph', + nodes: innerNodes, + edges: edges + } + }; + + currentWorkflow = { + ...currentWorkflow, + nodes: [...currentWorkflow.nodes, subgraphNode], + edges: currentWorkflow.edges + }; + + return { nodes: [subgraphNode], edges: [] }; + }, + + // Expand a subgraph node into its inner nodes (detach from subgraph) + expandSubgraph(subgraphNodeId: string): { nodes: WorkflowNode[]; edges: WorkflowEdge[] } | null { + if (!currentWorkflow) return null; + + const subgraphNode = currentWorkflow.nodes.find(n => n.id === subgraphNodeId); + if (!subgraphNode || subgraphNode.node_type !== 'subgraph' || !subgraphNode.inner_graph) { + return null; + } + + const timestamp = Date.now(); + const idMap = new Map(); + const innerGraph = subgraphNode.inner_graph; + + // Create new nodes with unique IDs and offset by subgraph position + const newNodes: WorkflowNode[] = innerGraph.nodes.map((node, index) => { + const newId = `${node.id}_${timestamp}_${index}`; + idMap.set(node.id, newId); + + return { + ...node, + id: newId, + position: { + x: node.position.x + subgraphNode.position.x, + y: node.position.y + subgraphNode.position.y + } + }; + }); + + // Create new edges with remapped IDs + const newEdges: WorkflowEdge[] = innerGraph.edges + .filter(edge => idMap.has(edge.source) && idMap.has(edge.target)) + .map(edge => ({ + ...edge, + id: `${idMap.get(edge.source)}-${idMap.get(edge.target)}`, + source: idMap.get(edge.source)!, + target: idMap.get(edge.target)! + })); + + // Find edges connected to the subgraph node to reconnect + const incomingEdges = currentWorkflow.edges.filter(e => e.target === subgraphNodeId); + const outgoingEdges = currentWorkflow.edges.filter(e => e.source === subgraphNodeId); + + // Remove the subgraph node and its edges + const remainingNodes = currentWorkflow.nodes.filter(n => n.id !== subgraphNodeId); + const remainingEdges = currentWorkflow.edges.filter( + e => e.source !== subgraphNodeId && e.target !== subgraphNodeId + ); + + currentWorkflow = { + ...currentWorkflow, + nodes: [...remainingNodes, ...newNodes], + edges: [...remainingEdges, ...newEdges] + }; + + return { nodes: newNodes, edges: newEdges }; + }, + + // Remove a node from the current workflow + removeNode(nodeId: string) { + if (!currentWorkflow) return; + if (nodeId === 'START' || nodeId === 'END') return; // Can't remove start/end + + currentWorkflow = { + ...currentWorkflow, + nodes: currentWorkflow.nodes.filter(n => n.id !== nodeId), + edges: currentWorkflow.edges.filter(e => e.source !== nodeId && e.target !== nodeId) + }; + }, + + // Delete a node (async version with return value) + async deleteNode(nodeId: string): Promise { + if (!currentWorkflow) return false; + if (nodeId === 'START' || nodeId === 'END') return false; // Can't remove start/end + + try { + currentWorkflow = { + ...currentWorkflow, + nodes: currentWorkflow.nodes.filter(n => n.id !== nodeId), + edges: currentWorkflow.edges.filter(e => e.source !== nodeId && e.target !== nodeId) + }; + return true; + } catch (e) { + console.error('Failed to delete node:', e); + return false; + } + }, + + // Remove an edge from the current workflow + removeEdge(edgeId: string) { + if (!currentWorkflow) return; + + // Try to find the edge with various ID formats + let edgeToRemove = currentWorkflow.edges.find(e => e.id === edgeId); + + // If not found, try stripping xy-edge__ prefix + if (!edgeToRemove && edgeId.startsWith('xy-edge__')) { + const strippedId = edgeId.replace('xy-edge__', ''); + edgeToRemove = currentWorkflow.edges.find(e => e.id === strippedId); + } + + // If still not found, try source-target lookup + if (!edgeToRemove) { + const idPart = edgeId.replace('xy-edge__', ''); + const lastDash = idPart.lastIndexOf('-'); + if (lastDash > 0) { + const source = idPart.substring(0, lastDash); + const target = idPart.substring(lastDash + 1); + edgeToRemove = currentWorkflow.edges.find(e => e.source === source && e.target === target); + } + } + + if (edgeToRemove) { + currentWorkflow = { + ...currentWorkflow, + edges: currentWorkflow.edges.filter(e => e.id !== edgeToRemove!.id) + }; + } + }, + + // Update an edge's properties (for conditional edges) + updateEdge(edgeId: string, edgeData: Partial): boolean { + if (!currentWorkflow) { + return false; + } + + // Try to find by ID first + let edgeIndex = currentWorkflow.edges.findIndex(e => e.id === edgeId); + + // If not found, try to extract source-target from SvelteFlow's ID format (xy-edge__source-target) + if (edgeIndex === -1 && edgeId.startsWith('xy-edge__')) { + const strippedId = edgeId.replace('xy-edge__', ''); + edgeIndex = currentWorkflow.edges.findIndex(e => e.id === strippedId); + } + + // If still not found, try to find by source-target pattern + if (edgeIndex === -1) { + // Parse source-target from the ID (format: source-target or xy-edge__source-target) + const idPart = edgeId.replace('xy-edge__', ''); + const lastDash = idPart.lastIndexOf('-'); + if (lastDash > 0) { + const source = idPart.substring(0, lastDash); + const target = idPart.substring(lastDash + 1); + edgeIndex = currentWorkflow.edges.findIndex(e => e.source === source && e.target === target); + } + } + + if (edgeIndex === -1) { + return false; + } + + const updatedEdge = { + ...currentWorkflow.edges[edgeIndex], + ...edgeData + }; + + const newEdges = [...currentWorkflow.edges]; + newEdges[edgeIndex] = updatedEdge; + + currentWorkflow = { + ...currentWorkflow, + edges: newEdges + }; + + return true; + }, + + // Update node position + updateNodePosition(nodeId: string, position: { x: number; y: number }) { + if (!currentWorkflow) return; + + const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); + if (nodeIndex === -1) return; + + currentWorkflow.nodes[nodeIndex] = { + ...currentWorkflow.nodes[nodeIndex], + position + }; + currentWorkflow = { ...currentWorkflow, nodes: [...currentWorkflow.nodes] }; + }, + + // Apply auto-layout using d3-dag Sugiyama algorithm + applyAutoLayout() { + if (!currentWorkflow) return; + + // Dynamic import to avoid SSR issues + import('$lib/utils/layoutUtils').then(({ autoLayout }) => { + const result = autoLayout(currentWorkflow!.nodes, currentWorkflow!.edges); + currentWorkflow = { + ...currentWorkflow!, + nodes: result.nodes + }; + }).catch(e => { + console.error('Failed to apply auto-layout:', e); + }); + }, + + // Save workflow to backend + async saveWorkflow(workflowData?: Partial & { savePath?: string; filename?: string }): Promise { + if (!currentWorkflow) return false; + + // Extract save location params + const { savePath, filename, ...restData } = workflowData || {}; + const dataToSave = restData ? { ...currentWorkflow, ...restData } : currentWorkflow; + + try { + const isNew = currentWorkflow.id.startsWith('new_'); + const method = isNew ? 'POST' : 'PUT'; + const url = isNew + ? `${API_BASE}/workflows` + : `${API_BASE}/workflows/${currentWorkflow.id}`; + + // Include save path in request body + const requestBody = { + ...dataToSave, + ...(savePath && { save_path: savePath }), + ...(filename && { filename: filename }) + }; + + const response = await fetch(url, { + method, + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(requestBody) + }); + + if (!response.ok) { + const errorData = await response.json().catch(() => ({ detail: response.statusText })); + throw new Error(errorData.detail || 'Failed to save workflow'); + } + + const result = await response.json(); + + // Update current workflow with new ID, name, and source_path from save response + if (result.success && result.workflow_id) { + currentWorkflow = { + ...currentWorkflow, + ...restData, // Include updated name, description, etc. + id: result.workflow_id, + source_path: result.source_path + }; + } + + // Refresh workflow list + await this.loadWorkflows(); + + return true; + } catch (e) { + console.error('saveWorkflow error:', e); + error = e instanceof Error ? e.message : 'Unknown error'; + return false; + } + }, + + // Group selected nodes into a subgraph + groupNodesAsSubgraph( + nodeIds: string[], + subgraphName: string, + subgraphDescription?: string + ): WorkflowNode | null { + if (!currentWorkflow) return null; + if (nodeIds.length < 2) return null; + + // Get the nodes to group + const nodesToGroup = currentWorkflow.nodes.filter(n => nodeIds.includes(n.id)); + if (nodesToGroup.length !== nodeIds.length) return null; + + // Validate: cannot include START, END, data, or output nodes + const invalidNodes = nodesToGroup.filter(n => + n.id === 'START' || n.id === 'END' || + n.node_type === 'data' || n.node_type === 'output' + ); + if (invalidNodes.length > 0) return null; + + const nodeIdSet = new Set(nodeIds); + + // Classify edges + const internalEdges = currentWorkflow.edges.filter(e => + nodeIdSet.has(e.source) && nodeIdSet.has(e.target) + ); + const incomingEdges = currentWorkflow.edges.filter(e => + nodeIdSet.has(e.target) && !nodeIdSet.has(e.source) + ); + const outgoingEdges = currentWorkflow.edges.filter(e => + nodeIdSet.has(e.source) && !nodeIdSet.has(e.target) + ); + + // Calculate bounding box center for subgraph position + const minX = Math.min(...nodesToGroup.map(n => n.position.x)); + const maxX = Math.max(...nodesToGroup.map(n => n.position.x)); + const minY = Math.min(...nodesToGroup.map(n => n.position.y)); + const maxY = Math.max(...nodesToGroup.map(n => n.position.y)); + const centerPosition = { + x: (minX + maxX) / 2, + y: (minY + maxY) / 2 + }; + + // Adjust inner node positions to be relative to the bounding box + const innerNodes: WorkflowNode[] = nodesToGroup.map(n => ({ + ...n, + position: { + x: n.position.x - minX + 20, // 20px padding + y: n.position.y - minY + 20 + } + })); + + // Create inner edges (same as internal edges but with new IDs) + const innerEdges: WorkflowEdge[] = internalEdges.map(e => ({ + ...e, + id: `inner_${e.id}` + })); + + // Create the subgraph node + const subgraphId = `subgraph_${Date.now()}`; + const subgraphNode: WorkflowNode = { + id: subgraphId, + node_type: 'subgraph', + summary: subgraphName, + description: subgraphDescription, + position: centerPosition, + inner_graph: { + name: subgraphName, + nodes: innerNodes, + edges: innerEdges + } + }; + + // Create new edges to replace external connections + const newEdges: WorkflowEdge[] = []; + + // Rewire incoming edges: external โ†’ subgraph + const processedIncoming = new Set(); + for (const edge of incomingEdges) { + if (!processedIncoming.has(edge.source)) { + newEdges.push({ + id: `${edge.source}-${subgraphId}`, + source: edge.source, + target: subgraphId, + is_conditional: edge.is_conditional, + label: edge.label + }); + processedIncoming.add(edge.source); + } + } + + // Rewire outgoing edges: subgraph โ†’ external + const processedOutgoing = new Set(); + for (const edge of outgoingEdges) { + if (!processedOutgoing.has(edge.target)) { + newEdges.push({ + id: `${subgraphId}-${edge.target}`, + source: subgraphId, + target: edge.target, + is_conditional: edge.is_conditional, + label: edge.label + }); + processedOutgoing.add(edge.target); + } + } + + // Update the workflow + // 1. Remove grouped nodes + // 2. Add subgraph node + // 3. Remove internal and external edges + // 4. Add new edges + const remainingNodes = currentWorkflow.nodes.filter(n => !nodeIdSet.has(n.id)); + const remainingEdges = currentWorkflow.edges.filter(e => + !nodeIdSet.has(e.source) && !nodeIdSet.has(e.target) + ); + + currentWorkflow = { + ...currentWorkflow, + nodes: [...remainingNodes, subgraphNode], + edges: [...remainingEdges, ...newEdges] + }; + + return subgraphNode; + } + }; +} + +// Execution Store +function createExecutionStore() { + let currentExecution = $state(null); + let executionHistory = $state([]); + let isPolling = $state(false); + let pollInterval: ReturnType | null = null; + + return { + get currentExecution() { return currentExecution; }, + get executionHistory() { return executionHistory; }, + get isPolling() { return isPolling; }, + + async startExecution(workflowId: string, options: ExecutionOptions) { + try { + // Map frontend option names to backend snake_case + const requestBody = { + input_data: options.inputData, + start_index: options.startIndex, + num_records: options.numRecords, + batch_size: options.batchSize, + checkpoint_interval: options.checkpointInterval, + run_name: options.runName, + output_with_ts: options.outputWithTs, + output_dir: options.outputDir || null, + debug: options.debug, + resume: options.resume, + quality: options.quality, + disable_metadata: options.disableMetadata, + run_args: options.runArgs + }; + + const response = await fetch(`${API_BASE}/workflows/${workflowId}/execute`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(requestBody) + }); + + if (!response.ok) { + const error = await response.json(); + throw new Error(error.detail || 'Failed to start execution'); + } + + const result = await response.json(); + currentExecution = { + id: result.execution_id, + workflow_id: workflowId, + workflow_name: '', + status: 'pending', + input_data: options.inputData, + node_states: {}, + logs: [] + }; + + this.startPolling(result.execution_id); + return result.execution_id; + } catch (e) { + throw e; + } + }, + + startPolling(executionId: string) { + if (pollInterval) clearInterval(pollInterval); + isPolling = true; + + const poll = async () => { + try { + const response = await fetch(`${API_BASE}/executions/${executionId}`); + if (response.ok) { + currentExecution = await response.json(); + + // Stop polling if execution is done + if (currentExecution?.status === 'completed' || + currentExecution?.status === 'failed' || + currentExecution?.status === 'cancelled') { + this.stopPolling(); + // Reload full execution history from server to get complete metadata + await this.loadExecutionHistory(); + } + } + } catch (e) { + console.error('Polling error:', e); + } + }; + + poll(); // Initial poll + pollInterval = setInterval(poll, 1000); + }, + + stopPolling() { + if (pollInterval) { + clearInterval(pollInterval); + pollInterval = null; + } + isPolling = false; + }, + + async cancelExecution() { + if (!currentExecution) return; + + try { + const response = await fetch(`${API_BASE}/executions/${currentExecution.id}/cancel`, { + method: 'POST' + }); + + if (response.ok) { + this.stopPolling(); + // Update current execution status + currentExecution = { ...currentExecution, status: 'cancelled' }; + // Reload execution history + await this.loadExecutionHistory(); + } + } catch (e) { + console.error('Cancel error:', e); + } + }, + + clearExecution() { + this.stopPolling(); + currentExecution = null; + }, + + async loadExecutionHistory(workflowId?: string) { + try { + const url = workflowId + ? `${API_BASE}/executions?workflow_id=${workflowId}` + : `${API_BASE}/executions`; + const response = await fetch(url); + if (response.ok) { + executionHistory = await response.json(); + } + } catch (e) { + console.error('Failed to load execution history:', e); + } + }, + + async getExecution(executionId: string): Promise { + try { + const response = await fetch(`${API_BASE}/executions/${executionId}`); + if (response.ok) { + return await response.json(); + } + return null; + } catch (e) { + console.error('Failed to get execution:', e); + return null; + } + }, + + resumeRunningExecution() { + // Find any running or pending executions from history and resume polling + const runningExecution = executionHistory.find( + e => e.status === 'running' || e.status === 'pending' + ); + + if (runningExecution) { + currentExecution = runningExecution; + this.startPolling(runningExecution.id); + } + }, + + setCurrentExecution(execution: Execution | null) { + currentExecution = execution; + }, + + removeFromHistory(executionId: string) { + executionHistory = executionHistory.filter(e => e.id !== executionId); + // If the current execution is being removed, clear it + if (currentExecution?.id === executionId) { + currentExecution = null; + } + }, + + removeMultipleFromHistory(executionIds: string[]) { + const idsSet = new Set(executionIds); + executionHistory = executionHistory.filter(e => !idsSet.has(e.id)); + // If the current execution is being removed, clear it + if (currentExecution && idsSet.has(currentExecution.id)) { + currentExecution = null; + } + } + }; +} + +// View type for main content area +export type ViewType = 'home' | 'workflow' | 'workflows' | 'runs' | 'builder' | 'library' | 'models'; + +// Node type definitions for the builder +export const NODE_TYPES = [ + // Core Flow + { type: 'start', label: 'Start', color: '#22c55e', description: 'Entry point of the workflow', category: 'flow' }, + { type: 'end', label: 'End', color: '#ef4444', description: 'Exit point of the workflow', category: 'flow' }, + // AI Nodes (tools are configured on these nodes via the Tools tab) + { type: 'llm', label: 'LLM', color: '#8b5cf6', description: 'Language model with optional tools', category: 'ai' }, + { type: 'agent', label: 'Agent', color: '#ec4899', description: 'ReAct agent with tool calling', category: 'ai' }, + // Data + { type: 'data', label: 'Data', color: '#0ea5e9', description: 'Data source & sink configuration', category: 'data' }, + { type: 'output', label: 'Output', color: '#10b981', description: 'Output mapping & generator', category: 'data' }, + // Processing + { type: 'lambda', label: 'Lambda', color: '#f97316', description: 'Custom Python function', category: 'processing' }, + { type: 'weighted_sampler', label: 'Sampler', color: '#a855f7', description: 'Random weighted sampler', category: 'processing' }, + { type: 'subgraph', label: 'Subgraph', color: '#3b82f6', description: 'Nested workflow', category: 'processing' }, +] as const; + +// Node categories for palette grouping +export const NODE_CATEGORIES = [ + { id: 'flow', label: 'Flow Control', description: 'Start and end points' }, + { id: 'ai', label: 'AI Nodes', description: 'LLM and agents with tools' }, + { id: 'data', label: 'Data', description: 'Input/output handling' }, + { id: 'processing', label: 'Processing', description: 'Transform and compute' }, +] as const; + +export type NodeType = typeof NODE_TYPES[number]['type']; +export type NodeCategory = typeof NODE_CATEGORIES[number]['id']; + +// UI Store +function createUIStore() { + let sidebarCollapsed = $state(false); + let selectedNodeId = $state(null); + let showExecutionPanel = $state(false); + let showResultsModal = $state(false); + let showRunModal = $state(false); + let currentView = $state('home'); + let selectedRunId = $state(null); + + // Navigation guard for builder unsaved changes + let pendingNavigation = $state(null); + let builderHasChanges = $state(false); + + return { + get sidebarCollapsed() { return sidebarCollapsed; }, + get selectedNodeId() { return selectedNodeId; }, + get showExecutionPanel() { return showExecutionPanel; }, + get showResultsModal() { return showResultsModal; }, + get showRunModal() { return showRunModal; }, + get currentView() { return currentView; }, + get selectedRunId() { return selectedRunId; }, + get pendingNavigation() { return pendingNavigation; }, + get builderHasChanges() { return builderHasChanges; }, + + toggleSidebar() { sidebarCollapsed = !sidebarCollapsed; }, + selectNode(id: string | null) { selectedNodeId = id; }, + toggleExecutionPanel() { showExecutionPanel = !showExecutionPanel; }, + openResultsModal() { showResultsModal = true; }, + closeResultsModal() { showResultsModal = false; }, + openRunModal() { showRunModal = true; }, + closeRunModal() { showRunModal = false; }, + + // Set builder has changes flag (called by WorkflowBuilder) + setBuilderHasChanges(hasChanges: boolean) { + builderHasChanges = hasChanges; + }, + + // Request navigation - may be blocked if builder has unsaved changes + requestNavigation(view: ViewType) { + if (currentView === 'builder' && builderHasChanges) { + // Block navigation, show confirmation modal + pendingNavigation = view; + return false; + } + // Proceed with navigation + this.setView(view); + return true; + }, + + // Clear pending navigation (user cancelled) + clearPendingNavigation() { + pendingNavigation = null; + }, + + // Confirm pending navigation (user saved or discarded) + confirmPendingNavigation() { + if (pendingNavigation) { + const view = pendingNavigation; + pendingNavigation = null; + builderHasChanges = false; + this.setView(view); + } + }, + + setView(view: ViewType) { + currentView = view; + if (view === 'runs' || view === 'workflows') { + selectedRunId = null; + } + // Clear builder changes flag when leaving builder + if (view !== 'builder') { + builderHasChanges = false; + } + }, + selectRun(id: string | null) { + selectedRunId = id; + }, + clearSelectedRun() { + selectedRunId = null; + } + }; +} + +// Export singleton instances +export const workflowStore = createWorkflowStore(); +export const executionStore = createExecutionStore(); +export const uiStore = createUIStore(); diff --git a/studio/frontend/src/lib/utils/layoutUtils.ts b/studio/frontend/src/lib/utils/layoutUtils.ts new file mode 100644 index 00000000..514e7880 --- /dev/null +++ b/studio/frontend/src/lib/utils/layoutUtils.ts @@ -0,0 +1,485 @@ +/** + * DAG Layout Utilities using d3-dag + * + * Provides automatic layout algorithms for workflow graph visualization. + * Uses the Sugiyama algorithm for layered DAG layout. + */ + +import * as d3dag from 'd3-dag'; +import type { WorkflowNode, WorkflowEdge } from '$lib/stores/workflow.svelte'; + +// Layout configuration +export interface LayoutConfig { + nodeWidth: number; + nodeHeight: number; + horizontalGap: number; + verticalGap: number; + direction: 'LR' | 'TB'; // Left-to-Right or Top-to-Bottom +} + +const DEFAULT_CONFIG: LayoutConfig = { + nodeWidth: 200, + nodeHeight: 100, + horizontalGap: 120, // Better horizontal spacing + verticalGap: 80, // Better vertical spacing + direction: 'LR' +}; + +// Subgraph nodes are larger +const SUBGRAPH_CONFIG = { + nodeWidth: 350, + nodeHeight: 250 +}; + +/** + * Get the dimensions for a node based on its type + */ +function getNodeDimensions(node: WorkflowNode, cfg: LayoutConfig): { width: number; height: number } { + if (node.node_type === 'subgraph') { + return { width: SUBGRAPH_CONFIG.nodeWidth, height: SUBGRAPH_CONFIG.nodeHeight }; + } + return { width: cfg.nodeWidth, height: cfg.nodeHeight }; +} + +export interface LayoutResult { + nodes: WorkflowNode[]; + width: number; + height: number; +} + +/** + * Apply Sugiyama (layered) layout to workflow nodes using d3-dag. + * This creates a clean, hierarchical visualization of the DAG. + */ +export function applyDagLayout( + nodes: WorkflowNode[], + edges: WorkflowEdge[], + config: Partial = {} +): LayoutResult { + const cfg = { ...DEFAULT_CONFIG, ...config }; + + if (nodes.length === 0) { + return { nodes: [], width: 0, height: 0 }; + } + + // Build adjacency structure for d3-dag + const nodeIds = new Set(nodes.map(n => n.id)); + const parentMap = new Map(); + + // Initialize all nodes with empty parent lists + nodes.forEach(n => parentMap.set(n.id, [])); + + // Build parent relationships from edges + edges.forEach(edge => { + if (nodeIds.has(edge.source) && nodeIds.has(edge.target)) { + const parents = parentMap.get(edge.target) || []; + if (!parents.includes(edge.source)) { + parents.push(edge.source); + } + parentMap.set(edge.target, parents); + } + }); + + try { + // Check for cycles first - d3-dag requires a true DAG + if (hasCycles(nodes, edges)) { + console.warn('Graph has cycles, using simple layout'); + return applySimpleLayout(nodes, edges, cfg); + } + + // Create DAG using d3-dag's stratify + const dagData = nodes.map(n => ({ + id: n.id, + parentIds: parentMap.get(n.id) || [] + })); + + console.log('DAG data for d3-dag:', dagData); + + const dag = d3dag.graphStratify()(dagData); + + // Configure Sugiyama layout + const nodeSize: [number, number] = cfg.direction === 'LR' + ? [cfg.nodeHeight + cfg.verticalGap, cfg.nodeWidth + cfg.horizontalGap] + : [cfg.nodeWidth + cfg.horizontalGap, cfg.nodeHeight + cfg.verticalGap]; + + const layout = d3dag.sugiyama() + .nodeSize(nodeSize) + .layering(d3dag.layeringSimplex()) + .decross(d3dag.decrossOpt()) + .coord(d3dag.coordQuad()); + + // Apply layout + layout(dag); + + console.log('d3-dag layout completed'); + + // First pass: check if all nodes have valid coordinates + // Note: d3-dag throws an error when accessing .x/.y if layout failed + let hasValidCoords = true; + for (const node of nodes) { + const dagNode = dag.node(node.id); + if (dagNode) { + try { + // After layout, x and y should be defined + // d3-dag throws if ux/uy are undefined + const x = dagNode.x; + const y = dagNode.y; + if (x === undefined || y === undefined || isNaN(x) || isNaN(y)) { + hasValidCoords = false; + break; + } + } catch { + // d3-dag throws when coordinates aren't computed + hasValidCoords = false; + break; + } + } else { + // Node not found in DAG + hasValidCoords = false; + break; + } + } + + // If any node has invalid coordinates, fall back to simple layout + if (!hasValidCoords) { + console.warn('d3-dag produced invalid coordinates, falling back to simple layout'); + return applySimpleLayout(nodes, edges, cfg); + } + + // Extract positions and update nodes + const layoutedNodes = nodes.map(node => { + const dagNode = dag.node(node.id); + if (dagNode) { + // d3-dag uses (x, y) where x is layer position and y is within-layer position + // For LR direction: x becomes horizontal, y becomes vertical + const position = cfg.direction === 'LR' + ? { x: dagNode.x, y: dagNode.y } + : { x: dagNode.y, y: dagNode.x }; + + return { + ...node, + position: { + x: position.x + 50, // Add padding + y: position.y + 50 + } + }; + } + return node; + }); + + // Calculate bounds + let maxX = 0, maxY = 0; + layoutedNodes.forEach(n => { + maxX = Math.max(maxX, n.position.x + cfg.nodeWidth); + maxY = Math.max(maxY, n.position.y + cfg.nodeHeight); + }); + + return { + nodes: layoutedNodes, + width: maxX + 100, + height: maxY + 100 + }; + } catch (e) { + console.warn('d3-dag layout failed, falling back to simple layout:', e); + return applySimpleLayout(nodes, edges, cfg); + } +} + +/** + * Simple fallback layout using topological sorting. + * Used when d3-dag fails (e.g., for cyclic graphs). + * Handles cycles by detecting strongly connected components. + */ +export function applySimpleLayout( + nodes: WorkflowNode[], + edges: WorkflowEdge[], + config: Partial = {} +): LayoutResult { + const cfg = { ...DEFAULT_CONFIG, ...config }; + + if (nodes.length === 0) { + return { nodes: [], width: 0, height: 0 }; + } + + // Build adjacency and in-degree maps (ignoring back-edges for layering) + const nodeIds = new Set(nodes.map(n => n.id)); + const adjacency = new Map(); + const reverseAdjacency = new Map(); + const inDegree = new Map(); + + nodes.forEach(n => { + adjacency.set(n.id, []); + reverseAdjacency.set(n.id, []); + inDegree.set(n.id, 0); + }); + + // Track bidirectional edges (cycles between two nodes) + const bidirectionalPairs = new Set(); + edges.forEach(edge => { + if (nodeIds.has(edge.source) && nodeIds.has(edge.target)) { + // Check if reverse edge exists + const reverseKey = `${edge.target}->${edge.source}`; + const forwardKey = `${edge.source}->${edge.target}`; + if (edges.some(e => e.source === edge.target && e.target === edge.source)) { + bidirectionalPairs.add([edge.source, edge.target].sort().join('<->')); + } + adjacency.get(edge.source)?.push(edge.target); + reverseAdjacency.get(edge.target)?.push(edge.source); + } + }); + + // For layering, ignore back-edges (edges that go from higher to lower nodes) + // Use a modified Kahn's algorithm that breaks cycles + const processedEdges = new Set(); + edges.forEach(edge => { + if (nodeIds.has(edge.source) && nodeIds.has(edge.target)) { + const pairKey = [edge.source, edge.target].sort().join('<->'); + // For bidirectional edges, only count one direction for in-degree + if (bidirectionalPairs.has(pairKey)) { + const edgeKey = `${edge.source}->${edge.target}`; + if (!processedEdges.has(pairKey)) { + // First edge of the pair - count it + inDegree.set(edge.target, (inDegree.get(edge.target) || 0) + 1); + processedEdges.add(pairKey); + } + // Second edge (reverse) - don't count for in-degree + } else { + inDegree.set(edge.target, (inDegree.get(edge.target) || 0) + 1); + } + } + }); + + // Topological sort to determine layers + const layers: string[][] = []; + const nodeLayer = new Map(); + const queue: string[] = []; + const visited = new Set(); + + // Start with nodes that have no incoming edges + nodes.forEach(n => { + if ((inDegree.get(n.id) || 0) === 0) { + queue.push(n.id); + } + }); + + while (queue.length > 0) { + const current = queue.shift()!; + if (visited.has(current)) continue; + visited.add(current); + + // Calculate layer based on predecessors + let maxPredLayer = -1; + reverseAdjacency.get(current)?.forEach(pred => { + if (nodeLayer.has(pred)) { + maxPredLayer = Math.max(maxPredLayer, nodeLayer.get(pred)!); + } + }); + + const layer = maxPredLayer + 1; + nodeLayer.set(current, layer); + + if (!layers[layer]) { + layers[layer] = []; + } + layers[layer].push(current); + + // Process successors + adjacency.get(current)?.forEach(successor => { + if (!visited.has(successor)) { + const newDegree = (inDegree.get(successor) || 0) - 1; + inDegree.set(successor, Math.max(0, newDegree)); + if (newDegree <= 0) { + queue.push(successor); + } + } + }); + } + + // Handle remaining nodes (part of cycles or disconnected) + nodes.forEach(n => { + if (!nodeLayer.has(n.id)) { + // Find the best layer based on neighbors + let bestLayer = layers.length; + const neighbors = [...(adjacency.get(n.id) || []), ...(reverseAdjacency.get(n.id) || [])]; + neighbors.forEach(neighbor => { + if (nodeLayer.has(neighbor)) { + bestLayer = Math.min(bestLayer, nodeLayer.get(neighbor)!); + } + }); + + nodeLayer.set(n.id, bestLayer); + if (!layers[bestLayer]) { + layers[bestLayer] = []; + } + layers[bestLayer].push(n.id); + } + }); + + // Group nodes in bidirectional relationships to same layer for better visualization + bidirectionalPairs.forEach(pair => { + const [node1, node2] = pair.split('<->'); + const layer1 = nodeLayer.get(node1); + const layer2 = nodeLayer.get(node2); + if (layer1 !== undefined && layer2 !== undefined && layer1 !== layer2) { + // Move the later node to the same layer as earlier, but offset vertically + const targetLayer = Math.min(layer1, layer2); + const nodeToMove = layer1 > layer2 ? node1 : node2; + const sourceLayer = Math.max(layer1, layer2); + + // Remove from old layer + const oldLayerIdx = layers.findIndex(l => l.includes(nodeToMove)); + if (oldLayerIdx >= 0) { + layers[oldLayerIdx] = layers[oldLayerIdx].filter(id => id !== nodeToMove); + } + + // Add to new layer + nodeLayer.set(nodeToMove, targetLayer); + if (!layers[targetLayer].includes(nodeToMove)) { + layers[targetLayer].push(nodeToMove); + } + } + }); + + // Clean up empty layers + const cleanLayers = layers.filter(l => l && l.length > 0); + + // Create a node lookup map + const nodeMap = new Map(nodes.map(n => [n.id, n])); + + // Calculate the max width for each layer (considering subgraph nodes) + const layerWidths = cleanLayers.map(layerNodeIds => { + let maxWidth = 0; + layerNodeIds.forEach(nodeId => { + const node = nodeMap.get(nodeId); + if (node) { + const dims = getNodeDimensions(node, cfg); + maxWidth = Math.max(maxWidth, dims.width); + } + }); + return maxWidth; + }); + + // Calculate positions with better vertical distribution + const nodePositions = new Map(); + + // Calculate max height needed for any layer + let maxLayerHeight = 0; + cleanLayers.forEach(layerNodeIds => { + let layerHeight = 0; + layerNodeIds.forEach(nodeId => { + const node = nodeMap.get(nodeId); + if (node) { + const dims = getNodeDimensions(node, cfg); + layerHeight += dims.height + cfg.verticalGap; + } + }); + maxLayerHeight = Math.max(maxLayerHeight, layerHeight); + }); + + const centerY = 100 + maxLayerHeight / 2; + + // Calculate cumulative x position for each layer + let currentX = 100; + cleanLayers.forEach((layerNodeIds, layerIdx) => { + // Calculate total height of this layer + let layerHeight = 0; + layerNodeIds.forEach(nodeId => { + const node = nodeMap.get(nodeId); + if (node) { + const dims = getNodeDimensions(node, cfg); + layerHeight += dims.height + cfg.verticalGap; + } + }); + + const startY = centerY - layerHeight / 2; + let currentY = startY; + + layerNodeIds.forEach(nodeId => { + const node = nodeMap.get(nodeId); + if (node) { + const dims = getNodeDimensions(node, cfg); + nodePositions.set(nodeId, { x: currentX, y: currentY }); + currentY += dims.height + cfg.verticalGap; + } + }); + + // Move x to next layer based on this layer's max width + currentX += layerWidths[layerIdx] + cfg.horizontalGap; + }); + + // Update nodes with positions + const layoutedNodes = nodes.map(node => ({ + ...node, + position: nodePositions.get(node.id) || node.position + })); + + // Calculate bounds + let maxX = 0, maxY = 0; + layoutedNodes.forEach(n => { + const dims = getNodeDimensions(n, cfg); + maxX = Math.max(maxX, n.position.x + dims.width); + maxY = Math.max(maxY, n.position.y + dims.height); + }); + + return { + nodes: layoutedNodes, + width: maxX + 100, + height: maxY + 100 + }; +} + +/** + * Check if the graph has cycles (for determining which layout to use) + */ +export function hasCycles(nodes: WorkflowNode[], edges: WorkflowEdge[]): boolean { + const nodeIds = new Set(nodes.map(n => n.id)); + const adjacency = new Map(); + const visited = new Set(); + const recursionStack = new Set(); + + nodes.forEach(n => adjacency.set(n.id, [])); + edges.forEach(edge => { + if (nodeIds.has(edge.source) && nodeIds.has(edge.target)) { + adjacency.get(edge.source)?.push(edge.target); + } + }); + + console.log('Checking for cycles. Edges:', edges.map(e => `${e.source} -> ${e.target}`)); + + function dfs(nodeId: string): boolean { + visited.add(nodeId); + recursionStack.add(nodeId); + + for (const neighbor of adjacency.get(nodeId) || []) { + if (!visited.has(neighbor)) { + if (dfs(neighbor)) return true; + } else if (recursionStack.has(neighbor)) { + console.log(`Cycle detected: ${nodeId} -> ${neighbor} (${neighbor} is in recursion stack)`); + return true; + } + } + + recursionStack.delete(nodeId); + return false; + } + + for (const node of nodes) { + if (!visited.has(node.id)) { + if (dfs(node.id)) return true; + } + } + + return false; +} + +/** + * Auto-layout the graph using the best available algorithm. + */ +export function autoLayout( + nodes: WorkflowNode[], + edges: WorkflowEdge[], + config: Partial = {} +): LayoutResult { + // Try d3-dag first, fall back to simple layout + return applyDagLayout(nodes, edges, config); +} diff --git a/studio/frontend/src/routes/+layout.svelte b/studio/frontend/src/routes/+layout.svelte new file mode 100644 index 00000000..9f244057 --- /dev/null +++ b/studio/frontend/src/routes/+layout.svelte @@ -0,0 +1,97 @@ + + +
+ + + + +
+ {@render children()} +
+
+ + +{#if showSettingsModal} + showSettingsModal = false} /> +{/if} diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte new file mode 100644 index 00000000..056a6918 --- /dev/null +++ b/studio/frontend/src/routes/+page.svelte @@ -0,0 +1,515 @@ + + +{#if currentView === 'builder'} + +
+
+ +
+ + + {#if selectedNodeId && currentWorkflow} + {@const selectedNode = currentWorkflow.nodes.find(n => n.id === selectedNodeId)} + {#if selectedNode} + uiStore.selectNode(null)} + on:save={handleBuilderNodeSave} + on:delete={handleBuilderNodeDelete} + /> + {/if} + {:else if selectedEdge && currentWorkflow} + n.id === selectedEdge.source)} + targetNode={currentWorkflow.nodes.find(n => n.id === selectedEdge.target)} + editable={true} + on:close={() => selectedEdge = null} + on:update={handleBuilderEdgeUpdate} + on:delete={handleBuilderEdgeDelete} + /> + {/if} +
+{:else if currentView === 'home'} + +
+ +
+{:else if currentView === 'runs'} + +
+ {#if selectedRun} + + + {:else} + + + {/if} +
+{:else if currentView === 'workflows'} + +
+ +
+{:else if currentView === 'library'} + +
+ { + const recipe = e.detail.recipe; + console.log('[Add to Workflow] Recipe:', recipe.name, 'Nodes:', recipe.nodes?.length, 'Edges:', recipe.edges?.length); + + // Validate recipe has nodes + if (!recipe.nodes || recipe.nodes.length === 0) { + console.error('[Add to Workflow] Recipe has no nodes!'); + return; + } + + // Check if we have an existing workflow to append to + const existingWorkflow = workflowStore.currentWorkflow; + if (!existingWorkflow) { + console.log('[Add to Workflow] Creating new workflow...'); + workflowStore.createNewWorkflow(); + } else { + console.log('[Add to Workflow] Appending to existing workflow:', existingWorkflow.name, 'with', existingWorkflow.nodes.length, 'nodes'); + } + + // Add recipe nodes and edges to the current workflow as a subgraph + const result = workflowStore.addRecipeToWorkflow(recipe.nodes, recipe.edges, undefined, recipe.name); + console.log('[Add to Workflow] Added subgraph, result:', result); + + // Switch to builder to see the result + uiStore.setView('builder'); + console.log('[Add to Workflow] Switched to builder view'); + + // Wait for the DOM to update (WorkflowBuilder needs to mount) + await tick(); + await tick(); // Double tick to ensure full render cycle + + // Sync the builder after it has mounted + if (workflowBuilderRef) { + workflowBuilderRef.syncNodesFromStore(); + workflowBuilderRef.syncEdgesFromStore(); + console.log('[Add to Workflow] Synced builder'); + } else { + console.log('[Add to Workflow] No builder ref yet, relying on $effect'); + } + }} + /> +
+{:else if currentView === 'models'} + +
+ +
+{:else} + +
+ +
+
+ {#if currentWorkflow} +

+ {currentWorkflow.name} +

+ + {currentWorkflow.nodes.length} nodes ยท {currentWorkflow.edges.length} edges + + {:else} +

+ Select a workflow to get started +

+ {/if} +
+ +
+ {#if currentWorkflow} + + {/if} + {#if currentExecution?.status === 'running' || currentExecution?.status === 'pending'} + + {:else if currentWorkflow} + + {/if} +
+
+ + +
+ +
+ +
+ {#if currentWorkflow} + + {:else} +
+
+
+ +
+

+ No workflow selected +

+

+ Choose a workflow from the sidebar to visualize and run it +

+
+
+ {/if} +
+ + + {#if selectedNodeId && currentWorkflow} + n.id === selectedNodeId)} + nodeState={currentExecution?.node_states[selectedNodeId]} + on:close={() => uiStore.selectNode(null)} + /> + {/if} + + + {#if selectedEdge && currentWorkflow} + {@const edge = selectedEdge} + n.id === edge.source)} + targetNode={currentWorkflow.nodes.find(n => n.id === edge.target)} + on:close={() => selectedEdge = null} + /> + {/if} +
+ + + {#if currentWorkflow} + codePanelCollapsed = true} + /> + {/if} +
+ + + {#if currentExecution} + + {/if} +
+ + + {#if showRunModal && currentWorkflow} + + {/if} + + {#if showResultsModal && currentExecution} + uiStore.closeResultsModal()} + /> + {/if} +{/if} + + +{#if (selectedNodeId || selectedEdge) && (currentView === 'builder' || (currentView === 'workflow' && currentWorkflow))} + +{/if} + + +{#if showUnsavedChangesModal} + +{/if} diff --git a/studio/frontend/src/styles/global.css b/studio/frontend/src/styles/global.css new file mode 100644 index 00000000..75bc03f5 --- /dev/null +++ b/studio/frontend/src/styles/global.css @@ -0,0 +1,146 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + /* Surface colors */ + --surface: #ffffff; + --surface-secondary: #f9fafb; + --surface-tertiary: #f3f4f6; + --surface-hover: #f3f4f6; + --surface-selected: #ede9fe; + --surface-inverse: #1f2937; + + /* Frost/overlay colors */ + --frost: rgba(255, 255, 255, 0.8); + --frost-secondary: rgba(255, 255, 255, 0.6); + + /* Brand colors */ + --primary: #8b5cf6; + --primary-hover: #7c3aed; + --primary-light: #ede9fe; +} + +.dark { + --surface: #0f172a; + --surface-secondary: #1e293b; + --surface-tertiary: #334155; + --surface-hover: #334155; + --surface-selected: #3730a3; + --surface-inverse: #f9fafb; + + --frost: rgba(15, 23, 42, 0.8); + --frost-secondary: rgba(15, 23, 42, 0.6); + + --primary: #a78bfa; + --primary-hover: #8b5cf6; + --primary-light: #3730a3; +} + +/* SvelteFlow customizations */ +.svelte-flow { + --xy-background-color: var(--surface-secondary); + --xy-background-pattern-color: var(--surface-tertiary); + --xy-node-background-color: var(--surface); + --xy-node-border-color: var(--surface-tertiary); +} + +.svelte-flow__node { + transition: box-shadow 0.2s ease, transform 0.1s ease; + /* Remove default SvelteFlow node styling */ + background: transparent !important; + border: none !important; + border-radius: 0 !important; + padding: 0 !important; +} + +.svelte-flow__node:hover { + transform: translateY(-1px); +} + +.svelte-flow__node.selected { + box-shadow: none !important; +} + +.svelte-flow__node.selected > div { + box-shadow: 0 0 0 2px var(--primary); + border-radius: 0.75rem; +} + +/* MiniMap interactivity */ +.svelte-flow__panel.bottom.left { + z-index: 10; + pointer-events: auto !important; +} + +.svelte-flow__minimap { + cursor: pointer; + pointer-events: auto !important; +} + +.svelte-flow__minimap-svg { + cursor: grab; + pointer-events: auto !important; + touch-action: none; + user-select: none; + -webkit-user-select: none; + -webkit-tap-highlight-color: transparent; +} + +.svelte-flow__minimap-svg:active { + cursor: grabbing; +} + +/* Ensure minimap nodes don't block pan/zoom events */ +.svelte-flow__minimap-svg rect, +.svelte-flow__minimap-svg .svelte-flow__minimap-node { + pointer-events: none !important; +} + +/* Mask should pass through events */ +.svelte-flow__minimap-mask { + pointer-events: none !important; +} + +/* Execution status animations */ +@keyframes pulse-ring { + 0% { + box-shadow: 0 0 0 0 rgba(59, 130, 246, 0.4); + } + 70% { + box-shadow: 0 0 0 8px rgba(59, 130, 246, 0); + } + 100% { + box-shadow: 0 0 0 0 rgba(59, 130, 246, 0); + } +} + +.node-running { + animation: pulse-ring 1.5s cubic-bezier(0.215, 0.61, 0.355, 1) infinite; +} + +/* Custom scrollbar */ +::-webkit-scrollbar { + width: 8px; + height: 8px; +} + +::-webkit-scrollbar-track { + background: var(--surface-secondary); +} + +::-webkit-scrollbar-thumb { + background: var(--surface-tertiary); + border-radius: 4px; +} + +::-webkit-scrollbar-thumb:hover { + background: #9ca3af; +} + +/* Monaco editor container */ +.monaco-editor-container { + width: 100%; + height: 100%; + min-height: 200px; +} diff --git a/studio/frontend/svelte.config.js b/studio/frontend/svelte.config.js new file mode 100644 index 00000000..1212d5fe --- /dev/null +++ b/studio/frontend/svelte.config.js @@ -0,0 +1,35 @@ +import adapter from '@sveltejs/adapter-static'; +import { vitePreprocess } from '@sveltejs/vite-plugin-svelte'; + +/** @type {import('@sveltejs/kit').Config} */ +const config = { + preprocess: vitePreprocess(), + compilerOptions: { + // Suppress specific warnings that are false positives for common patterns + warningFilter: (warning) => { + // Suppress a11y warnings for modals and interactive patterns + if (warning.code.startsWith('a11y_')) return false; + // Suppress svelte:component deprecation (still works, will migrate later) + if (warning.code === 'svelte_component_deprecated') return false; + // Suppress non-reactive update for canvas/DOM refs (intentional) + if (warning.code === 'non_reactive_update') return false; + // Suppress state_referenced_locally for props (intentional pattern) + if (warning.code === 'state_referenced_locally') return false; + return true; + } + }, + kit: { + adapter: adapter({ + pages: 'build', + assets: 'build', + fallback: 'index.html', + precompress: false, + strict: true + }), + paths: { + base: '' + } + } +}; + +export default config; diff --git a/studio/frontend/tailwind.config.js b/studio/frontend/tailwind.config.js new file mode 100644 index 00000000..0d0f87ae --- /dev/null +++ b/studio/frontend/tailwind.config.js @@ -0,0 +1,49 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: ['./src/**/*.{html,js,svelte,ts}'], + darkMode: 'class', + theme: { + extend: { + colors: { + // SyGra brand colors (purple theme) + surface: { + DEFAULT: 'var(--surface)', + secondary: 'var(--surface-secondary)', + tertiary: 'var(--surface-tertiary)', + hover: 'var(--surface-hover)', + selected: 'var(--surface-selected)', + inverse: 'var(--surface-inverse)' + }, + frost: { + DEFAULT: 'var(--frost)', + secondary: 'var(--frost-secondary)' + }, + // Node type colors + node: { + llm: '#8b5cf6', // violet-500 + lambda: '#f97316', // orange-500 + connector: '#06b6d4', // cyan-500 + start: '#22c55e', // green-500 + end: '#ef4444', // red-500 + subgraph: '#3b82f6', // blue-500 + webagent: '#ec4899' // pink-500 + }, + // Status colors + status: { + pending: '#9ca3af', // gray-400 + running: '#3b82f6', // blue-500 + completed: '#22c55e', // green-500 + failed: '#ef4444', // red-500 + cancelled: '#eab308' // yellow-500 + } + }, + fontFamily: { + mono: ['JetBrains Mono', 'Fira Code', 'monospace'] + }, + animation: { + 'pulse-slow': 'pulse 3s cubic-bezier(0.4, 0, 0.6, 1) infinite' + } + } + }, + plugins: [] +}; diff --git a/studio/frontend/tsconfig.json b/studio/frontend/tsconfig.json new file mode 100644 index 00000000..f81c4450 --- /dev/null +++ b/studio/frontend/tsconfig.json @@ -0,0 +1,14 @@ +{ + "compilerOptions": { + "allowJs": true, + "checkJs": true, + "esModuleInterop": true, + "forceConsistentCasingInFileNames": true, + "moduleResolution": "bundler", + "resolveJsonModule": true, + "skipLibCheck": true, + "sourceMap": true, + "strict": true + }, + "extends": "./.svelte-kit/tsconfig.json" +} diff --git a/studio/frontend/vite.config.js b/studio/frontend/vite.config.js new file mode 100644 index 00000000..e224075f --- /dev/null +++ b/studio/frontend/vite.config.js @@ -0,0 +1,22 @@ +import { sveltekit } from '@sveltejs/kit/vite'; +import { defineConfig } from 'vite'; + +export default defineConfig({ + plugins: [sveltekit()], + server: { + proxy: { + '/api': { + target: 'http://localhost:8000', + changeOrigin: true + }, + '/ws': { + target: 'ws://localhost:8000', + ws: true, + changeOrigin: true + } + } + }, + optimizeDeps: { + include: ['monaco-editor'] + } +}); diff --git a/studio/graph_builder.py b/studio/graph_builder.py new file mode 100644 index 00000000..9464985d --- /dev/null +++ b/studio/graph_builder.py @@ -0,0 +1,813 @@ +""" +SyGra Graph Builder for Studio Visualization. + +Converts SyGra YAML workflow configurations into visualization-friendly +graph structures compatible with the Studio frontend. +""" + +import hashlib +import os +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +from studio.models import ( + EdgeCondition, + ExecutionStatus, + InnerGraph, + ModelConfig, + NodePosition, + NodeSize, + NodeType, + PromptMessage, + WorkflowEdge, + WorkflowGraph, + WorkflowNode, +) +from sygra.utils import utils +import importlib +import importlib.util + + +class SygraGraphBuilder: + """ + Builds visualization-friendly graph from SyGra YAML configuration. + + Performs automatic layout calculation and converts SyGra node types + to standardized formats for frontend rendering. + """ + + # Node type mapping from SyGra to visualization types + NODE_TYPE_MAP = { + "llm": NodeType.LLM, + "lambda": NodeType.LAMBDA, + "subgraph": NodeType.SUBGRAPH, + "weighted_sampler": NodeType.WEIGHTED_SAMPLER, + "tool": NodeType.TOOL, + } + + # Layout constants - optimized for visual clarity + NODE_WIDTH = 200 + NODE_HEIGHT = 80 + HORIZONTAL_SPACING = 320 # Increased for better horizontal spread + VERTICAL_SPACING = 140 # Increased for better vertical spread + START_X = 150 + START_Y = 200 # Start lower for better centering + + def __init__(self): + """Initialize the graph builder.""" + self._node_levels: Dict[str, int] = {} + self._node_positions: Dict[str, Tuple[float, float]] = {} + + def build_from_yaml(self, yaml_path: str) -> WorkflowGraph: + """ + Build a WorkflowGraph from a SyGra YAML configuration file. + + Args: + yaml_path: Path to the graph_config.yaml file. + + Returns: + WorkflowGraph ready for visualization. + """ + config = utils.load_yaml_file(yaml_path) + return self.build_from_config(config, source_path=yaml_path) + + def build_from_config( + self, + config: Dict[str, Any], + source_path: Optional[str] = None + ) -> WorkflowGraph: + """ + Build a WorkflowGraph from a SyGra configuration dictionary. + + Args: + config: SyGra configuration dictionary. + source_path: Optional source file path for metadata. + + Returns: + WorkflowGraph ready for visualization. + """ + if "graph_config" not in config: + raise ValueError("Configuration must contain 'graph_config' key") + + graph_config = config["graph_config"] + nodes_config = graph_config.get("nodes", {}) + edges_config = graph_config.get("edges", []) + + # Generate workflow ID + workflow_id = self._generate_workflow_id(config, source_path) + workflow_name = self._extract_workflow_name(config, source_path) + + # Build nodes (including DATA and OUTPUT if configs exist) + data_config = config.get("data_config") + output_config = config.get("output_config") + nodes = self._build_nodes(nodes_config, data_config, output_config) + + # Build edges (including DATAโ†’START and ENDโ†’OUTPUT connections) + edges = self._build_edges(edges_config, nodes, data_config, output_config) + + # Calculate layout + self._calculate_layout(nodes, edges) + + # Extract state variables + state_variables = self._extract_state_variables(nodes_config) + + # Build the graph + return WorkflowGraph( + id=workflow_id, + name=workflow_name, + description=config.get("description"), + nodes=nodes, + edges=edges, + data_config=config.get("data_config"), + output_config=config.get("output_config"), + schema_config=config.get("schema_config"), + state_variables=state_variables, + source_path=source_path, + last_modified=self._get_file_modified_time(source_path) if source_path else None, + ) + + def _generate_workflow_id( + self, + config: Dict[str, Any], + source_path: Optional[str] + ) -> str: + """Generate a unique workflow ID based on config content or path.""" + if source_path: + # Use path-based ID for consistency + return hashlib.md5(source_path.encode()).hexdigest()[:12] + else: + # Use config content hash + import json + config_str = json.dumps(config, sort_keys=True) + return hashlib.md5(config_str.encode()).hexdigest()[:12] + + def _extract_workflow_name( + self, + config: Dict[str, Any], + source_path: Optional[str] + ) -> str: + """Extract a human-readable workflow name.""" + # Check for explicit name in config + if "name" in config: + return config["name"] + + # Extract from source path + if source_path: + path = Path(source_path) + # Use parent directory name (task name) + return path.parent.name + + return "Unnamed Workflow" + + def _build_nodes( + self, + nodes_config: Dict[str, Any], + data_config: Optional[Dict[str, Any]] = None, + output_config: Optional[Dict[str, Any]] = None + ) -> List[WorkflowNode]: + """Build WorkflowNode objects from node configuration.""" + nodes = [] + + # Add DATA node if data_config exists + if data_config: + source = data_config.get("source", {}) + # Build summary from source config + if isinstance(source, list) and source: + source_type = source[0].get("type", "data") + elif isinstance(source, dict): + source_type = source.get("type", "data") + else: + source_type = "data" + + nodes.append(WorkflowNode( + id="DATA", + node_type=NodeType.DATA, + summary="Data Source", + description="Data source & sink configuration", + data_config=data_config, + )) + + # Add START node + nodes.append(WorkflowNode( + id="START", + node_type=NodeType.START, + summary="Start", + description="Workflow entry point", + )) + + # Add configured nodes + for node_name, node_config in nodes_config.items(): + node = self._build_node(node_name, node_config) + nodes.append(node) + + # Add END node + nodes.append(WorkflowNode( + id="END", + node_type=NodeType.END, + summary="End", + description="Workflow exit point", + )) + + # Add OUTPUT node if output_config exists + if output_config: + output_map = output_config.get("output_map", {}) + num_mappings = len(output_map) + + nodes.append(WorkflowNode( + id="OUTPUT", + node_type=NodeType.OUTPUT, + summary="Output", + description=f"Output mapping ({num_mappings} fields)" if num_mappings else "Output configuration", + output_config=output_config, + )) + + return nodes + + def _build_node( + self, + node_name: str, + node_config: Dict[str, Any], + expand_subgraphs: bool = True, + depth: int = 0, + max_depth: int = 5 + ) -> WorkflowNode: + """Build a single WorkflowNode from configuration.""" + node_type_str = node_config.get("node_type", "llm") + node_type = self.NODE_TYPE_MAP.get(node_type_str, NodeType.LLM) + + # Extract model configuration + model_config = None + if "model" in node_config: + model = node_config["model"] + model_config = ModelConfig( + name=model.get("name", "unknown"), + parameters=model.get("parameters", {}), + ) + + # Extract prompt messages + prompts = None + if "prompt" in node_config: + prompts = self._parse_prompts(node_config["prompt"]) + + # Build summary from node config + summary = node_config.get("summary", node_name.replace("_", " ").title()) + + # For subgraph nodes, try to load and expand the inner graph + inner_graph = None + subgraph_path = node_config.get("subgraph") + if node_type == NodeType.SUBGRAPH and subgraph_path and expand_subgraphs and depth < max_depth: + inner_graph = self._load_subgraph(subgraph_path, depth + 1, max_depth) + + return WorkflowNode( + id=node_name, + node_type=node_type, + summary=summary, + description=node_config.get("description"), + model=model_config, + prompt=prompts, + pre_process=node_config.get("pre_process"), + post_process=node_config.get("post_process"), + subgraph_path=subgraph_path, + inner_graph=inner_graph, + function_path=node_config.get("lambda") or node_config.get("function"), + metadata={ + "original_config": node_config, + }, + ) + + def _load_subgraph( + self, + subgraph_path: str, + depth: int = 0, + max_depth: int = 5 + ) -> Optional[InnerGraph]: + """ + Load and expand a subgraph definition. + + Subgraph path can be: + - Module path: "sygra.recipes.evol_instruct" + - File path: "path/to/subgraph.yaml" + """ + try: + # Try to load as a Python module (recipe) + if "." in subgraph_path and not subgraph_path.endswith((".yaml", ".yml")): + return self._load_recipe_subgraph(subgraph_path, depth, max_depth) + else: + # Try to load as YAML file + return self._load_yaml_subgraph(subgraph_path, depth, max_depth) + except Exception as e: + print(f"Warning: Could not load subgraph '{subgraph_path}': {e}") + return None + + def _load_recipe_subgraph( + self, + module_path: str, + depth: int, + max_depth: int + ) -> Optional[InnerGraph]: + """Load a subgraph from a Python recipe module.""" + graph_config = None + + # Method 1: Try to import the module directly + try: + module = importlib.import_module(module_path) + + # Look for graph_config or GRAPH_CONFIG + graph_config = getattr(module, 'graph_config', None) + if graph_config is None: + graph_config = getattr(module, 'GRAPH_CONFIG', None) + + # Some recipes have a get_graph_config() function + if graph_config is None and hasattr(module, 'get_graph_config'): + graph_config = module.get_graph_config() + + # Try loading from __init__.py pattern with yaml file + if graph_config is None: + module_file = getattr(module, '__file__', None) + if module_file: + module_dir = Path(module_file).parent + yaml_path = module_dir / "graph_config.yaml" + if yaml_path.exists(): + config = utils.load_yaml_file(str(yaml_path)) + graph_config = config.get("graph_config", {}) + except ImportError: + pass + + # Method 2: Try to resolve path and find graph_config.yaml directly + if graph_config is None: + try: + # Convert module path to filesystem path + # e.g., "sygra.recipes.evol_instruct" -> "sygra/recipes/evol_instruct" + parts = module_path.split(".") + + # Try to find the base package + base_module = parts[0] + try: + base = importlib.import_module(base_module) + base_path = Path(getattr(base, '__file__', '')).parent + + # Build the rest of the path + sub_path = Path(*parts[1:]) + full_path = base_path / sub_path + + # Look for graph_config.yaml + yaml_path = full_path / "graph_config.yaml" + if yaml_path.exists(): + config = utils.load_yaml_file(str(yaml_path)) + graph_config = config.get("graph_config", {}) + except Exception: + pass + except Exception: + pass + + # Method 3: Try common base paths + if graph_config is None: + try: + # Try from current working directory + rel_path = module_path.replace(".", "/") + for base in [Path.cwd(), Path(__file__).parent.parent.parent.parent]: + yaml_path = base / rel_path / "graph_config.yaml" + if yaml_path.exists(): + config = utils.load_yaml_file(str(yaml_path)) + graph_config = config.get("graph_config", {}) + break + except Exception: + pass + + if graph_config is None: + print(f"Warning: Could not find graph_config for '{module_path}'") + return None + + try: + # Extract graph config - could be a dict or have graph_config key + if isinstance(graph_config, dict): + if "graph_config" in graph_config: + graph_config = graph_config["graph_config"] + + nodes_config = graph_config.get("nodes", {}) + edges_config = graph_config.get("edges", []) + + # Build inner nodes (recursively expand subgraphs) + inner_nodes = [] + for name, config in nodes_config.items(): + node = self._build_node(name, config, expand_subgraphs=True, depth=depth, max_depth=max_depth) + inner_nodes.append(node) + + # Build inner edges + inner_edges = self._build_inner_edges(edges_config, inner_nodes) + + # Calculate layout for inner nodes + self._calculate_inner_layout(inner_nodes, inner_edges) + + # Extract name from module path + name = module_path.split(".")[-1].replace("_", " ").title() + + return InnerGraph( + name=name, + nodes=inner_nodes, + edges=inner_edges, + ) + + except Exception as e: + print(f"Warning: Could not load recipe subgraph '{module_path}': {e}") + return None + + def _load_yaml_subgraph( + self, + yaml_path: str, + depth: int, + max_depth: int + ) -> Optional[InnerGraph]: + """Load a subgraph from a YAML file.""" + try: + # Resolve the path + if not Path(yaml_path).is_absolute(): + # Try relative to current working directory + yaml_path = str(Path.cwd() / yaml_path) + + if not Path(yaml_path).exists(): + return None + + config = utils.load_yaml_file(yaml_path) + graph_config = config.get("graph_config", {}) + + nodes_config = graph_config.get("nodes", {}) + edges_config = graph_config.get("edges", []) + + # Build inner nodes + inner_nodes = [] + for name, node_config in nodes_config.items(): + node = self._build_node(name, node_config, expand_subgraphs=True, depth=depth, max_depth=max_depth) + inner_nodes.append(node) + + # Build inner edges + inner_edges = self._build_inner_edges(edges_config, inner_nodes) + + # Calculate layout for inner nodes + self._calculate_inner_layout(inner_nodes, inner_edges) + + # Extract name from file path + name = Path(yaml_path).stem.replace("_", " ").title() + + return InnerGraph( + name=name, + nodes=inner_nodes, + edges=inner_edges, + ) + + except Exception as e: + print(f"Warning: Could not load YAML subgraph '{yaml_path}': {e}") + return None + + def _build_inner_edges( + self, + edges_config: List[Dict[str, Any]], + nodes: List[WorkflowNode] + ) -> List[WorkflowEdge]: + """Build edges for inner subgraph (without START/END connections).""" + edges = [] + node_ids = {node.id for node in nodes} + + for idx, edge_config in enumerate(edges_config): + source = edge_config.get("from", "") + target = edge_config.get("to", "") + + # Skip START/END references for inner graphs + if source == "START" or target == "END": + continue + + # Only add edges where both nodes exist + if source in node_ids and target in node_ids: + edge_id = f"inner_edge_{source}_{target}_{idx}" + edges.append(WorkflowEdge( + id=edge_id, + source=source, + target=target, + edge_type="default", + )) + + return edges + + def _calculate_inner_layout( + self, + nodes: List[WorkflowNode], + edges: List[WorkflowEdge] + ) -> None: + """Calculate layout for inner subgraph nodes with smaller spacing.""" + if not nodes: + return + + # Use smaller spacing for inner graphs + inner_h_spacing = 180 + inner_v_spacing = 80 + inner_start_x = 20 + inner_start_y = 20 + + # Build adjacency + adjacency: Dict[str, List[str]] = {node.id: [] for node in nodes} + reverse_adj: Dict[str, List[str]] = {node.id: [] for node in nodes} + in_degree: Dict[str, int] = {node.id: 0 for node in nodes} + + for edge in edges: + if edge.source in adjacency and edge.target in adjacency: + adjacency[edge.source].append(edge.target) + reverse_adj[edge.target].append(edge.source) + in_degree[edge.target] += 1 + + # Layer assignment + layers: Dict[int, List[str]] = {} + node_layer: Dict[str, int] = {} + queue = [nid for nid, deg in in_degree.items() if deg == 0] + + # If no root nodes, start with first node + if not queue and nodes: + queue = [nodes[0].id] + + while queue: + current = queue.pop(0) + pred_layers = [node_layer.get(p, -1) for p in reverse_adj.get(current, [])] + layer = max(pred_layers, default=-1) + 1 + + node_layer[current] = layer + if layer not in layers: + layers[layer] = [] + layers[layer].append(current) + + for successor in adjacency.get(current, []): + in_degree[successor] -= 1 + if in_degree[successor] == 0 and successor not in node_layer: + queue.append(successor) + + # Handle remaining nodes + for node in nodes: + if node.id not in node_layer: + max_layer = max(layers.keys()) if layers else 0 + node_layer[node.id] = max_layer + 1 + if max_layer + 1 not in layers: + layers[max_layer + 1] = [] + layers[max_layer + 1].append(node.id) + + # Assign positions + for layer_idx, layer_nodes in sorted(layers.items()): + for node_idx, node_id in enumerate(layer_nodes): + x = inner_start_x + (layer_idx * inner_h_spacing) + y = inner_start_y + (node_idx * inner_v_spacing) + + for node in nodes: + if node.id == node_id: + node.position = NodePosition(x=x, y=y) + node.size = NodeSize(width=150, height=60) + break + + def _parse_prompts(self, prompt_config: List[Dict[str, str]]) -> List[PromptMessage]: + """Parse prompt configuration into PromptMessage objects.""" + messages = [] + for prompt in prompt_config: + for role, content in prompt.items(): + if isinstance(content, str): + messages.append(PromptMessage(role=role, content=content)) + return messages + + def _build_edges( + self, + edges_config: List[Dict[str, Any]], + nodes: List[WorkflowNode], + data_config: Optional[Dict[str, Any]] = None, + output_config: Optional[Dict[str, Any]] = None + ) -> List[WorkflowEdge]: + """Build WorkflowEdge objects from edge configuration.""" + edges = [] + node_ids = {node.id for node in nodes} + + # Add DATA โ†’ START edge if data_config exists + if data_config and "DATA" in node_ids: + edges.append(WorkflowEdge( + id="edge_DATA_START", + source="DATA", + target="START", + edge_type="default", + )) + + for idx, edge_config in enumerate(edges_config): + source = edge_config.get("from", "START") + target = edge_config.get("to") + condition = edge_config.get("condition") + path_map = edge_config.get("path_map") + + if condition and path_map: + # Conditional edge - create multiple edges + for result_key, target_node in path_map.items(): + edge_id = f"edge_{source}_{target_node}_{idx}_{result_key}" + edges.append(WorkflowEdge( + id=edge_id, + source=source, + target=target_node, + is_conditional=True, + condition=EdgeCondition( + condition_path=condition, + path_map=path_map, + ), + edge_type="conditional", + label=result_key, + animated=True, + )) + elif target: + # Simple edge + edge_id = f"edge_{source}_{target}_{idx}" + edges.append(WorkflowEdge( + id=edge_id, + source=source, + target=target, + edge_type="default", + )) + + # Add END โ†’ OUTPUT edge if output_config exists + if output_config and "OUTPUT" in node_ids: + edges.append(WorkflowEdge( + id="edge_END_OUTPUT", + source="END", + target="OUTPUT", + edge_type="default", + )) + + return edges + + def _calculate_layout( + self, + nodes: List[WorkflowNode], + edges: List[WorkflowEdge] + ) -> None: + """ + Calculate node positions using an improved Sugiyama-style layered layout. + + This algorithm: + 1. Assigns nodes to layers based on longest path (better for DAGs) + 2. Orders nodes within layers using barycenter heuristic to minimize crossings + 3. Positions nodes with proper centering and spacing + """ + if not nodes: + return + + # Build adjacency lists + adjacency: Dict[str, List[str]] = {node.id: [] for node in nodes} + reverse_adj: Dict[str, List[str]] = {node.id: [] for node in nodes} + in_degree: Dict[str, int] = {node.id: 0 for node in nodes} + + for edge in edges: + if edge.source in adjacency and edge.target in adjacency: + adjacency[edge.source].append(edge.target) + reverse_adj[edge.target].append(edge.source) + in_degree[edge.target] += 1 + + # Layer assignment using longest path from roots + layers: Dict[int, List[str]] = {} + node_layer: Dict[str, int] = {} + + # Start with nodes that have no incoming edges + queue = [node_id for node_id, degree in in_degree.items() if degree == 0] + + while queue: + current = queue.pop(0) + + # Calculate layer based on predecessors (longest path) + predecessor_layers = [ + node_layer.get(pred, -1) + for pred in reverse_adj.get(current, []) + ] + layer = max(predecessor_layers, default=-1) + 1 + + node_layer[current] = layer + if layer not in layers: + layers[layer] = [] + layers[layer].append(current) + + # Add successors to queue + for successor in adjacency.get(current, []): + in_degree[successor] -= 1 + if in_degree[successor] == 0 and successor not in node_layer: + queue.append(successor) + + # Handle any remaining nodes (cycles or disconnected) + for node in nodes: + if node.id not in node_layer: + max_layer = max(layers.keys()) if layers else 0 + node_layer[node.id] = max_layer + 1 + if max_layer + 1 not in layers: + layers[max_layer + 1] = [] + layers[max_layer + 1].append(node.id) + + # Order nodes within layers using barycenter method (minimize edge crossings) + node_order: Dict[str, float] = {} + sorted_layers = sorted(layers.keys()) + + # Initialize order for first layer + if sorted_layers: + for idx, node_id in enumerate(layers[sorted_layers[0]]): + node_order[node_id] = idx + + # Forward pass: order based on predecessors + for layer_idx in sorted_layers[1:]: + layer_nodes = layers[layer_idx] + for node_id in layer_nodes: + predecessors = reverse_adj.get(node_id, []) + if predecessors: + # Barycenter: average position of predecessors + node_order[node_id] = sum(node_order.get(p, 0) for p in predecessors) / len(predecessors) + else: + node_order[node_id] = 0 + # Sort layer by barycenter + layers[layer_idx] = sorted(layer_nodes, key=lambda n: node_order.get(n, 0)) + + # Backward pass: refine based on successors + for layer_idx in reversed(sorted_layers[:-1]): + layer_nodes = layers[layer_idx] + for node_id in layer_nodes: + successors = adjacency.get(node_id, []) + if successors: + node_order[node_id] = sum(node_order.get(s, 0) for s in successors) / len(successors) + layers[layer_idx] = sorted(layer_nodes, key=lambda n: node_order.get(n, 0)) + + # Calculate total height for centering + max_layer_size = max(len(layer_nodes) for layer_nodes in layers.values()) if layers else 1 + total_height = max_layer_size * self.VERTICAL_SPACING + center_y = self.START_Y + total_height / 2 + + # Assign positions with proper centering + for layer_idx, layer_nodes in sorted(layers.items()): + layer_size = len(layer_nodes) + layer_height = layer_size * self.VERTICAL_SPACING + start_y = center_y - layer_height / 2 + self.VERTICAL_SPACING / 2 + + for node_idx, node_id in enumerate(layer_nodes): + x = self.START_X + (layer_idx * self.HORIZONTAL_SPACING) + y = start_y + (node_idx * self.VERTICAL_SPACING) + + # Find and update the node + for node in nodes: + if node.id == node_id: + node.position = NodePosition(x=x, y=y) + node.size = NodeSize(width=self.NODE_WIDTH, height=self.NODE_HEIGHT) + break + + def _get_predecessors( + self, + node_id: str, + edges: List[WorkflowEdge] + ) -> List[str]: + """Get all predecessor nodes for a given node.""" + return [edge.source for edge in edges if edge.target == node_id] + + def _extract_state_variables(self, nodes_config: Dict[str, Any]) -> List[str]: + """Extract state variables from node configurations.""" + import re + + variables = set() + pattern = r"(? Optional[datetime]: + """Get the last modified time of a file.""" + try: + stat = os.stat(file_path) + return datetime.fromtimestamp(stat.st_mtime) + except OSError: + return None + + +def build_graph_from_yaml(yaml_path: str) -> WorkflowGraph: + """ + Convenience function to build a WorkflowGraph from YAML file. + + Args: + yaml_path: Path to the graph_config.yaml file. + + Returns: + WorkflowGraph ready for visualization. + """ + builder = SygraGraphBuilder() + return builder.build_from_yaml(yaml_path) + + +def build_graph_from_config(config: Dict[str, Any]) -> WorkflowGraph: + """ + Convenience function to build a WorkflowGraph from config dict. + + Args: + config: SyGra configuration dictionary. + + Returns: + WorkflowGraph ready for visualization. + """ + builder = SygraGraphBuilder() + return builder.build_from_config(config) diff --git a/studio/models.py b/studio/models.py new file mode 100644 index 00000000..86479561 --- /dev/null +++ b/studio/models.py @@ -0,0 +1,334 @@ +""" +Data models for SyGra Studio. + +These Pydantic models define the structure for workflow visualization +and execution tracking, compatible with the Studio frontend format. +""" + +from datetime import datetime +from enum import Enum +from typing import Any, Dict, List, Optional, Union +from pydantic import BaseModel, ConfigDict, Field + + +class NodeType(str, Enum): + """Types of nodes supported in SyGra workflows.""" + + DATA = "data" + LLM = "llm" + LAMBDA = "lambda" + SUBGRAPH = "subgraph" + WEIGHTED_SAMPLER = "weighted_sampler" + TOOL = "tool" + START = "start" + END = "end" + OUTPUT = "output" + BRANCH = "branch" + LOOP = "loop" + + +class ExecutionStatus(str, Enum): + """Status of workflow or node execution.""" + + PENDING = "pending" + RUNNING = "running" + COMPLETED = "completed" + FAILED = "failed" + CANCELLED = "cancelled" + WAITING = "waiting" + + +class NodePosition(BaseModel): + """Position of a node in the graph visualization.""" + + x: float = 0 + y: float = 0 + + +class NodeSize(BaseModel): + """Size of a node in the graph visualization.""" + + width: float = 200 + height: float = 80 + + +class ModelConfig(BaseModel): + """LLM model configuration.""" + + name: str + parameters: Dict[str, Any] = Field(default_factory=dict) + + +class PromptMessage(BaseModel): + """A single prompt message with role and content.""" + + role: str # system, user, assistant + content: str + + +class WorkflowNode(BaseModel): + """ + Represents a single node in the SyGra workflow graph. + + Compatible with Studio's FlowModule structure for visualization. + """ + + id: str + node_type: NodeType + summary: Optional[str] = None + description: Optional[str] = None + + # Position for visualization + position: NodePosition = Field(default_factory=NodePosition) + size: NodeSize = Field(default_factory=NodeSize) + + # Node-specific configuration + model: Optional[ModelConfig] = None + prompt: Optional[List[PromptMessage]] = None + pre_process: Optional[str] = None + post_process: Optional[str] = None + + # For subgraph nodes + subgraph_path: Optional[str] = None + inner_graph: Optional["InnerGraph"] = None # Expanded subgraph contents + + # For lambda nodes + function_path: Optional[str] = None + + # For data nodes + data_config: Optional[Dict[str, Any]] = None + + # For output nodes + output_config: Optional[Dict[str, Any]] = None + + # For weighted sampler nodes + sampler_config: Optional[Dict[str, Any]] = None + + # Execution state (updated during workflow run) + execution_status: ExecutionStatus = ExecutionStatus.PENDING + execution_result: Optional[Any] = None + execution_error: Optional[str] = None + execution_duration_ms: Optional[int] = None + + # Additional metadata + metadata: Dict[str, Any] = Field(default_factory=dict) + + model_config = ConfigDict(use_enum_values=True) + + +class EdgeCondition(BaseModel): + """Condition for conditional edges.""" + + condition_path: str # Path to the condition function + path_map: Dict[str, str] # Maps condition results to target nodes + + +class WorkflowEdge(BaseModel): + """ + Represents an edge between nodes in the workflow graph. + + Supports both simple edges and conditional edges with path_map. + """ + + id: str + source: str # Source node ID + target: str # Target node ID (for simple edges) + + # For conditional edges + is_conditional: bool = False + condition: Optional[EdgeCondition] = None + + # Edge styling + edge_type: str = "default" # default, conditional, loop + label: Optional[str] = None + animated: bool = False + + model_config = ConfigDict(use_enum_values=True) + + +class InnerGraph(BaseModel): + """ + Represents the inner graph of a subgraph node. + + Contains the expanded nodes and edges from a subgraph definition, + enabling recursive visualization of nested workflows. + """ + + name: str + nodes: List[WorkflowNode] = Field(default_factory=list) + edges: List[WorkflowEdge] = Field(default_factory=list) + + model_config = ConfigDict(use_enum_values=True) + + +# Update forward references for recursive types +WorkflowNode.model_rebuild() + + +class WorkflowGraph(BaseModel): + """ + Complete workflow graph structure for visualization. + + This is the main structure sent to the frontend for rendering. + """ + + id: str + name: str + description: Optional[str] = None + + # Graph structure + nodes: List[WorkflowNode] + edges: List[WorkflowEdge] + + # Configuration metadata + data_config: Optional[Dict[str, Any]] = None + output_config: Optional[Dict[str, Any]] = None + schema_config: Optional[Dict[str, Any]] = None + + # Graph properties + state_variables: List[str] = Field(default_factory=list) + + # Source file info + source_path: Optional[str] = None + last_modified: Optional[datetime] = None + + model_config = ConfigDict(use_enum_values=True) + + +class NodeExecutionState(BaseModel): + """Execution state for a single node.""" + + node_id: str + status: ExecutionStatus + started_at: Optional[datetime] = None + completed_at: Optional[datetime] = None + duration_ms: Optional[int] = None + result: Optional[Any] = None + error: Optional[str] = None + logs: List[str] = Field(default_factory=list) + + model_config = ConfigDict(use_enum_values=True) + + +class WorkflowExecution(BaseModel): + """ + Represents an execution instance of a workflow. + + Tracks execution progress and results for UI updates. + """ + + id: str + workflow_id: str + workflow_name: str + + # Execution status + status: ExecutionStatus + current_node: Optional[str] = None + + # Timing + started_at: Optional[datetime] = None + completed_at: Optional[datetime] = None + duration_ms: Optional[int] = None + + # Input/Output + input_data: Dict[str, Any] = Field(default_factory=dict) + output_data: Optional[Any] = None + output_file: Optional[str] = None + metadata_file: Optional[str] = None + metadata: Optional[Dict[str, Any]] = None # Loaded metadata content + + # Node execution states + node_states: Dict[str, NodeExecutionState] = Field(default_factory=dict) + + # Error handling + error: Optional[str] = None + error_node: Optional[str] = None + + # Logs + logs: List[str] = Field(default_factory=list) + + model_config = ConfigDict(use_enum_values=True) + + +class WorkflowListItem(BaseModel): + """Summary item for listing workflows.""" + + id: str + name: str + description: Optional[str] = None + source_path: str + node_count: int + edge_count: int + last_modified: Optional[datetime] = None + last_run: Optional[datetime] = None + + +class ExecutionRequest(BaseModel): + """Request to execute a workflow. + + Options align with main.py CLI arguments for consistency. + """ + + workflow_id: Optional[str] = None # Optional since it's in the URL path + input_data: Union[Dict[str, Any], List[Dict[str, Any]]] = Field(default_factory=dict) + + # Core execution parameters (from main.py) + start_index: int = Field(default=0, description="Start index of the input dataset") + num_records: int = Field(default=10, description="Number of records to process") + batch_size: int = Field(default=25, description="Records to process in a batch") + checkpoint_interval: int = Field(default=100, description="Records between checkpoints") + + # Output options + run_name: str = Field(default="", description="Name for this run (used in output file)") + output_with_ts: bool = Field(default=True, description="Add timestamp to output filename") + output_dir: Optional[str] = Field(default=None, description="Custom output directory") + + # Execution options + debug: bool = Field(default=False, description="Enable debug mode") + resume: Optional[bool] = Field(default=None, description="Override resume behavior") + quality: bool = Field(default=False, description="Enable quality metrics") + disable_metadata: bool = Field(default=False, description="Disable metadata collection") + + # Custom arguments + run_args: Dict[str, Any] = Field(default_factory=dict, description="Custom run arguments") + + # Legacy fields for backward compatibility + streaming: bool = False + max_samples: int = 1 # Deprecated: use num_records instead + + +class ExecutionResponse(BaseModel): + """Response from workflow execution.""" + + execution_id: str + status: ExecutionStatus + message: str + + model_config = ConfigDict(use_enum_values=True) + + +class WorkflowCreateRequest(BaseModel): + """Request to create or update a workflow.""" + + id: Optional[str] = None # Will be generated from name if not provided + name: str + description: Optional[str] = None + nodes: List[WorkflowNode] + edges: List[WorkflowEdge] + data_config: Optional[Dict[str, Any]] = None + output_config: Optional[Dict[str, Any]] = None + schema_config: Optional[Dict[str, Any]] = None + state_variables: List[str] = Field(default_factory=list) + source_path: Optional[str] = None # Will be set by server + + model_config = ConfigDict(use_enum_values=True) + + +class WorkflowSaveResponse(BaseModel): + """Response from workflow save operation.""" + + success: bool + workflow_id: str + source_path: str + message: str + files_created: List[str] = Field(default_factory=list) diff --git a/studio/server.py b/studio/server.py new file mode 100644 index 00000000..c6b7c0ea --- /dev/null +++ b/studio/server.py @@ -0,0 +1,256 @@ +""" +SyGra Workflow UI Server. + +Launches the FastAPI backend with static file serving for the UI. +""" + +import os +from pathlib import Path +from typing import Optional + +import uvicorn +from fastapi import FastAPI +from fastapi.staticfiles import StaticFiles +from fastapi.responses import FileResponse + +from studio.api import create_app + + +def create_server( + tasks_dir: Optional[str] = None, + host: str = "0.0.0.0", + port: int = 8000, + cors_origins: Optional[list] = None, + use_svelte_ui: Optional[bool] = None, +) -> FastAPI: + """ + Create the combined API and UI server. + + Args: + tasks_dir: Directory containing SyGra task workflows. + host: Host to bind to. + port: Port to listen on. + cors_origins: List of allowed CORS origins. + use_svelte_ui: Use the new Svelte-based UI (requires npm build). + + Returns: + Configured FastAPI application. + """ + # Read from environment if not explicitly set + if tasks_dir is None: + tasks_dir = os.environ.get("SYGRA_TASKS_DIR") + if use_svelte_ui is None: + use_svelte_ui = os.environ.get("SYGRA_USE_SVELTE_UI", "0") == "1" + + # Create the API app + app = create_app(tasks_dir=tasks_dir, cors_origins=cors_origins) + + # Determine which UI to serve + base_dir = Path(__file__).parent + svelte_build_dir = base_dir / "frontend" / "build" + legacy_ui_dir = base_dir / "ui" + + # Check for Svelte build or use legacy + use_svelte = use_svelte_ui and svelte_build_dir.exists() and (svelte_build_dir / "index.html").exists() + + if use_svelte: + ui_dir = svelte_build_dir + else: + ui_dir = legacy_ui_dir + if use_svelte_ui: + print("โš ๏ธ UI not built. Run 'npm run build' in frontend/. Falling back to legacy UI.") + print("๐Ÿ“ฆ Running SyGra Studio with legacy UI") + + # Serve the UI + @app.get("/") + async def serve_ui(): + """Serve the main UI page.""" + return FileResponse(ui_dir / "index.html") + + # For Svelte SPA, serve index.html for all non-API routes + if use_svelte: + @app.get("/{path:path}") + async def serve_spa(path: str): + """Serve SPA for client-side routing.""" + if path.startswith("api/"): + return None # Let API routes handle these + file_path = ui_dir / path + if file_path.exists() and file_path.is_file(): + return FileResponse(file_path) + return FileResponse(ui_dir / "index.html") + + # Mount static assets + app.mount("/_app", StaticFiles(directory=str(ui_dir / "_app")), name="svelte_app") + else: + # Mount static files for legacy UI + if (ui_dir / "static").exists(): + app.mount("/static", StaticFiles(directory=str(ui_dir / "static")), name="static") + + return app + + +def run_server( + tasks_dir: Optional[str] = None, + host: str = "0.0.0.0", + port: int = 8000, + reload: bool = False, + log_level: str = "info", + use_svelte_ui: bool = False, +): + """ + Run the SyGra Workflow UI server. + + Args: + tasks_dir: Directory containing SyGra task workflows. + host: Host to bind to. + port: Port to listen on. + reload: Enable auto-reload for development. + log_level: Logging level. + use_svelte_ui: Use the new Svelte-based UI (requires npm build). + """ + # Build dynamic banner + server_url = f"http://{host}:{port}" + tasks_display = tasks_dir or 'default' + + # ASCII art title + title_lines = [ + " ____ ____ ", + " / ___| _ _ / ___|_ __ __ _ ", + " \\___ \\| | | | | _| '__/ _` | ", + " ___) | |_| | |_| | | | (_| | ", + " |____/ \\__, |\\____|_| \\__,_| ", + " |___/ ", + " ", + " โœฆ S T U D I O โœฆ ", + ] + + info_lines = [ + f"Server: {server_url}", + f"Tasks: {tasks_display}", + "", + "Press Ctrl+C to stop", + ] + + # Calculate box width based on content + all_content = title_lines + info_lines + content_width = max(len(line) for line in all_content) + box_width = max(54, content_width + 6) # minimum 54 for the ASCII art + + def center_line(text, width): + """Center text within given width.""" + padding = width - len(text) + left_pad = padding // 2 + right_pad = padding - left_pad + return " " * left_pad + text + " " * right_pad + + def left_line(text, width): + """Left-align text with padding.""" + padding = width - len(text) + return " " + text + " " * (padding - 2) + + # Print banner + print() + print(f"โ•”{'โ•' * box_width}โ•—") + print(f"โ•‘{' ' * box_width}โ•‘") + + # Title (centered) + for line in title_lines: + print(f"โ•‘{center_line(line, box_width)}โ•‘") + + # Horizontal rule + print(f"โ• {'โ”€' * box_width}โ•ฃ") + print(f"โ•‘{' ' * box_width}โ•‘") + + # Info (left-aligned) + for line in info_lines: + padded = left_line(line, box_width) + print(f"โ•‘{padded}โ•‘") + + print(f"โ•‘{' ' * box_width}โ•‘") + print(f"โ•š{'โ•' * box_width}โ•") + print() + + # Set environment variables + if tasks_dir: + os.environ["SYGRA_TASKS_DIR"] = tasks_dir + os.environ["SYGRA_USE_SVELTE_UI"] = "1" if use_svelte_ui else "0" + + # Filter known third-party deprecation warnings (uvicorn's websockets usage) + # This is a known issue: https://github.com/encode/uvicorn/issues/2344 + import warnings + warnings.filterwarnings("ignore", message="websockets.legacy", category=DeprecationWarning) + warnings.filterwarnings("ignore", message="websockets.server.WebSocketServerProtocol", category=DeprecationWarning) + + uvicorn.run( + "studio.server:create_server", + factory=True, + host=host, + port=port, + reload=reload, + log_level=log_level, + ) + + +def main(): + """CLI entry point.""" + import argparse + + parser = argparse.ArgumentParser( + description="SyGra Workflow Visualizer - View and run SyGra workflows in a web UI" + ) + + parser.add_argument( + "--tasks-dir", "-t", + type=str, + default=None, + help="Directory containing SyGra task workflows" + ) + + parser.add_argument( + "--host", "-H", + type=str, + default="0.0.0.0", + help="Host to bind to (default: 0.0.0.0)" + ) + + parser.add_argument( + "--port", "-p", + type=int, + default=8000, + help="Port to listen on (default: 8000)" + ) + + parser.add_argument( + "--reload", "-r", + action="store_true", + help="Enable auto-reload for development" + ) + + parser.add_argument( + "--log-level", "-l", + type=str, + default="info", + choices=["debug", "info", "warning", "error"], + help="Logging level (default: info)" + ) + + parser.add_argument( + "--svelte", "-s", + action="store_true", + help="Use the new Svelte-based UI (requires 'npm run build' in frontend/)" + ) + + args = parser.parse_args() + + run_server( + tasks_dir=args.tasks_dir, + host=args.host, + port=args.port, + reload=args.reload, + log_level=args.log_level, + use_svelte_ui=args.svelte, + ) + + +if __name__ == "__main__": + main() diff --git a/studio/ui/index.html b/studio/ui/index.html new file mode 100644 index 00000000..4a181f6d --- /dev/null +++ b/studio/ui/index.html @@ -0,0 +1,859 @@ + + + + + + SyGra Workflow Visualizer + + + + + + +
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+ + + + + + + + + + diff --git a/sygra/utils/constants.py b/sygra/utils/constants.py index 88e2bdd2..1625c570 100644 --- a/sygra/utils/constants.py +++ b/sygra/utils/constants.py @@ -49,6 +49,14 @@ # model config file MODEL_CONFIG_YAML = os.path.join(ROOT_DIR, "config", "models.yaml") +# Custom models config file (for studio-added models) +# This allows users to add models via Studio UI without modifying the builtin models.yaml +# The path can be overridden via SYGRA_CUSTOM_MODELS_PATH environment variable +CUSTOM_MODELS_CONFIG_YAML = os.environ.get( + "SYGRA_CUSTOM_MODELS_PATH", + os.path.join(os.path.dirname(ROOT_DIR), "studio", "config", "custom_models.yaml"), +) + # model failure handling - shutdown the process after some try HANDLE_SERVER_DOWN = True # list of error code to handle - service is down or unavailable diff --git a/sygra/utils/utils.py b/sygra/utils/utils.py index ed8967da..8c5dad71 100644 --- a/sygra/utils/utils.py +++ b/sygra/utils/utils.py @@ -24,14 +24,15 @@ from sygra.utils import constants -def load_model_config(config_path: Optional[str] = None) -> Any: +def load_model_config(config_path: Optional[str] = None, include_custom: bool = True) -> Any: """ Load model configurations from both models.yaml and environment variables. The function: - 1. Loads base model configurations from models.yaml - 2. Loads sensitive data (URL and auth token/API key) from environment variables - 3. Combines them, with environment variables taking precedence for sensitive fields + 1. Loads base model configurations from models.yaml (builtin SyGra models) + 2. Loads custom models from studio/config/custom_models.yaml (if exists) + 3. Loads sensitive data (URL and auth token/API key) from environment variables + 4. Combines them, with environment variables taking precedence for sensitive fields Environment variable naming convention: - SYGRA_{MODEL_NAME}_URL: URL for the model (can be a single URL or a pipe-separated list of URLs) @@ -40,8 +41,10 @@ def load_model_config(config_path: Optional[str] = None) -> Any: - SYGRA_{MODEL_NAME}_TOKEN: Authentication token or API key for the model Args: - config_path: Optional path to custom config file. + config_path: Optional path to additional custom config file. Custom configs override default models.yaml values. + include_custom: If True, automatically load custom models from CUSTOM_MODELS_CONFIG_YAML. + Set to False to only load builtin models. Returns: Dict containing combined model configurations @@ -51,10 +54,19 @@ def load_model_config(config_path: Optional[str] = None) -> Any: # Load environment variables from .env file load_dotenv(dotenv_path=".env", override=True) - # Load base configurations from models.yaml + # Load base configurations from models.yaml (builtin SyGra models) base_configs = load_yaml_file(constants.MODEL_CONFIG_YAML) - # Load and merge custom config if provided + # Automatically load custom models from studio config (if exists) + if include_custom and os.path.exists(constants.CUSTOM_MODELS_CONFIG_YAML): + try: + custom_studio_configs = load_yaml_file(constants.CUSTOM_MODELS_CONFIG_YAML) + if custom_studio_configs: + base_configs = {**base_configs, **custom_studio_configs} + except Exception: + pass # Silently ignore errors loading custom models + + # Load and merge additional custom config if explicitly provided if config_path and os.path.exists(config_path): custom_configs = 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.../lib/components/runs/RunTimelineBar.svelte | 21 +- .../lib/components/runs/RunsListView.svelte | 21 +- sygra/__init__.py | 8 + sygra/core/base_task_executor.py | 9 +- sygra/core/dataset/dataset_processor.py | 4 + sygra/core/execution_callbacks.py | 327 ++++++++++++++++++ sygra/utils/graph_utils.py | 47 ++- sygra/utils/utils.py | 108 ++++++ 19 files changed, 757 insertions(+), 65 deletions(-) create mode 100644 sygra/core/execution_callbacks.py diff --git a/studio/api.py b/studio/api.py index e03283b5..f4a56d90 100644 --- a/studio/api.py +++ b/studio/api.py @@ -31,6 +31,9 @@ import traceback import httpx +from sygra.utils import utils as sygra_utils +from sygra.utils import constants as sygra_constants + from studio.graph_builder import SygraGraphBuilder from studio.converter import SygraToStudioConverter from studio.models import ( @@ -79,9 +82,9 @@ _ENV_FILE = Path(__file__).parent / ".env" # Local env file for UI-managed vars # ==================== Models API (Module Level) ==================== -# Models config file paths -_BUILTIN_MODELS_CONFIG_PATH = Path(__file__).parent.parent / "sygra" / "config" / "models.yaml" -_CUSTOM_MODELS_CONFIG_PATH = Path(__file__).parent / "config" / "custom_models.yaml" +# Models config file paths - use library constants for consistency +_BUILTIN_MODELS_CONFIG_PATH = Path(sygra_constants.MODEL_CONFIG_YAML) +_CUSTOM_MODELS_CONFIG_PATH = Path(sygra_constants.CUSTOM_MODELS_CONFIG_YAML) # Legacy path for backwards compatibility _MODELS_CONFIG_PATH = _BUILTIN_MODELS_CONFIG_PATH @@ -139,43 +142,38 @@ } +# ==================== Model Config Functions (Using Library) ==================== +# These wrapper functions use the sygra library functions with Studio-specific additions + def _load_builtin_models_config() -> Dict[str, Any]: - """Load builtin/core models from SyGra's models.yaml (read-only).""" - if not _BUILTIN_MODELS_CONFIG_PATH.exists(): - return {} - try: - with open(_BUILTIN_MODELS_CONFIG_PATH, 'r') as f: - return yaml.safe_load(f) or {} - except Exception: - return {} + """Load builtin/core models from SyGra's models.yaml (read-only). + Uses library function: sygra_utils.load_builtin_models() + """ + return sygra_utils.load_builtin_models() def _load_custom_models_config() -> Dict[str, Any]: - """Load custom user-defined models from studio config.""" - if not _CUSTOM_MODELS_CONFIG_PATH.exists(): - return {} - try: - with open(_CUSTOM_MODELS_CONFIG_PATH, 'r') as f: - return yaml.safe_load(f) or {} - except Exception: - return {} + """Load custom user-defined models from studio config. + Uses library function: sygra_utils.load_custom_models() + """ + return sygra_utils.load_custom_models() def _save_custom_models_config(config: Dict[str, Any]) -> None: - """Save custom models to studio config file.""" - _CUSTOM_MODELS_CONFIG_PATH.parent.mkdir(parents=True, exist_ok=True) - with open(_CUSTOM_MODELS_CONFIG_PATH, 'w') as f: - yaml.dump(config, f, default_flow_style=False, sort_keys=False) + """Save custom models to studio config file. + Uses library function: sygra_utils.save_custom_models() + """ + sygra_utils.save_custom_models(config) def _load_models_config_sync() -> Dict[str, Any]: - """Load all models configuration (builtin + custom), synchronous, fast.""" - # Load builtin models (read-only, from SyGra core) + """Load all models configuration (builtin + custom), synchronous, fast. + + Note: This is a simplified version that doesn't inject env vars. + For env var injection, use sygra_utils.load_model_config() instead. + """ builtin = _load_builtin_models_config() - # Load custom models (user-defined, editable) custom = _load_custom_models_config() - # Merge: custom models can override builtin (but shouldn't in practice) - # We keep them separate in the returned dict via metadata merged = {} merged.update(builtin) merged.update(custom) @@ -183,26 +181,37 @@ def _load_models_config_sync() -> Dict[str, Any]: def _get_builtin_model_names() -> set: - """Get the set of builtin model names.""" - return set(_load_builtin_models_config().keys()) + """Get the set of builtin model names. + Uses library function: sygra_utils.get_builtin_model_names() + """ + return sygra_utils.get_builtin_model_names() def _get_model_env_value(model_name: str, env_suffix: str) -> tuple: - """Get env var value trying multiple prefix formats. Returns (value, key_used).""" + """Get env var value trying multiple prefix formats. Returns (value, key_used). + + Studio-specific: Also checks _env_vars (UI-managed env vars) in addition + to os.environ. + """ + # First check Studio's UI-managed env vars prefixes = [ f"SYGRA_{model_name.upper()}", # SYGRA_GPT-4O (keep hyphens) - f"SYGRA_{model_name.upper().replace('-', '_').replace('.', '_')}", # SYGRA_GPT_4O + f"SYGRA_{sygra_utils.get_env_name(model_name)}", # SYGRA_GPT_4O (normalized) ] for prefix in prefixes: env_key = f"{prefix}_{env_suffix}" - value = os.environ.get(env_key, _env_vars.get(env_key, "")) + # Check Studio's _env_vars first, then os.environ + value = _env_vars.get(env_key) or os.environ.get(env_key, "") if value: return value, env_key return "", f"{prefixes[0]}_{env_suffix}" def _get_model_credentials_fast(model_name: str, model_config: Dict[str, Any]) -> Dict[str, Any]: - """Get credentials for a model - fast, no heavy operations.""" + """Get credentials for a model - fast, no heavy operations. + + Studio-specific: Uses Studio's _env_vars in addition to os.environ. + """ model_type = model_config.get("model_type", "") type_info = _MODEL_TYPES.get(model_type, {"env_vars": ["URL", "TOKEN"]}) @@ -3303,15 +3312,18 @@ def _execute_workflow_subprocess( args_dict: dict, result_queue: multiprocessing.Queue, log_queue: multiprocessing.Queue, + node_queue: multiprocessing.Queue = None, ): """ Function that runs in a subprocess to execute the workflow. This allows us to terminate the process mid-execution to save LLM costs. Logs are sent back to the main process via log_queue. + Node execution events are sent via node_queue for real-time UI updates. """ try: from sygra.core.base_task_executor import DefaultTaskExecutor + from sygra.core.execution_callbacks import ExecutionCallbacks from sygra.utils import utils from sygra.logger.logger_config import set_external_logger from argparse import Namespace @@ -3343,9 +3355,41 @@ def exception(self, msg: str): self._send("ERROR", msg) # Set current task for SyGra utils utils.current_task = task_name + # Create execution callbacks for real-time node tracking + execution_callbacks = None + if node_queue is not None: + def on_node_start(node_name: str, input_data: dict): + node_queue.put({ + "event": "node_start", + "node_name": node_name, + "timestamp": datetime.now().isoformat(), + }) + + def on_node_complete(node_name: str, output_data: dict, duration_ms: int): + node_queue.put({ + "event": "node_complete", + "node_name": node_name, + "duration_ms": duration_ms, + "timestamp": datetime.now().isoformat(), + }) + + def on_node_error(node_name: str, error_msg: str, context: dict): + node_queue.put({ + "event": "node_error", + "node_name": node_name, + "error": error_msg, + "timestamp": datetime.now().isoformat(), + }) + + execution_callbacks = ExecutionCallbacks( + on_node_start=on_node_start, + on_node_complete=on_node_complete, + on_node_error=on_node_error, + ) + # Create and run task executor executor = DefaultTaskExecutor(args) - executor.execute() + executor.execute(execution_callbacks=execution_callbacks) result_queue.put({"status": "completed"}) except Exception as e: @@ -3471,10 +3515,11 @@ async def _run_workflow( # Create queues for subprocess communication result_queue = multiprocessing.Queue() log_queue = multiprocessing.Queue() + node_queue = multiprocessing.Queue() process = multiprocessing.Process( target=_execute_workflow_subprocess, - args=(task_name, args_dict, result_queue, log_queue) + args=(task_name, args_dict, result_queue, log_queue, node_queue) ) # Store process for potential cancellation @@ -3492,10 +3537,39 @@ def drain_logs(): except: break + # Helper to drain node events and update node states + def drain_node_events(): + while True: + try: + event = node_queue.get_nowait() + node_name = event.get("node_name") + event_type = event.get("event") + + if node_name and node_name in execution.node_states: + node_state = execution.node_states[node_name] + + if event_type == "node_start": + node_state.status = ExecutionStatus.RUNNING + node_state.started_at = datetime.fromisoformat(event.get("timestamp")) + execution.current_node = node_name + + elif event_type == "node_complete": + node_state.status = ExecutionStatus.COMPLETED + node_state.completed_at = datetime.fromisoformat(event.get("timestamp")) + node_state.duration_ms = event.get("duration_ms", 0) + + elif event_type == "node_error": + node_state.status = ExecutionStatus.FAILED + node_state.error = event.get("error") + node_state.completed_at = datetime.fromisoformat(event.get("timestamp")) + except: + break + # Poll for completion while checking for cancellation and collecting logs while process.is_alive(): - # Collect any pending logs + # Collect any pending logs and node events drain_logs() + drain_node_events() if execution_id in _cancelled_executions: execution.logs.append(f"{datetime.now().strftime('%Y-%m-%d %H:%M:%S')} - INFO - Cancellation requested, terminating execution...") @@ -3504,6 +3578,7 @@ def drain_logs(): if process.is_alive(): process.kill() drain_logs() # Get any final logs + drain_node_events() # Get any final node events execution.status = ExecutionStatus.CANCELLED execution.completed_at = datetime.now() _cancelled_executions.discard(execution_id) @@ -3513,6 +3588,7 @@ def drain_logs(): try: log_queue.close() result_queue.close() + node_queue.close() except: pass # Persist execution history @@ -3522,8 +3598,9 @@ def drain_logs(): process.join() - # Drain any remaining logs + # Drain any remaining logs and node events drain_logs() + drain_node_events() # Clean up process reference if execution_id in _running_processes: @@ -3539,6 +3616,7 @@ def drain_logs(): try: log_queue.close() result_queue.close() + node_queue.close() except: pass _save_executions() @@ -3557,6 +3635,8 @@ def drain_logs(): log_queue.join_thread() result_queue.close() result_queue.join_thread() + node_queue.close() + node_queue.join_thread() except: pass diff --git a/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte index b9bfdd90..27cd2a7a 100644 --- a/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte +++ b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte @@ -64,7 +64,42 @@ let completedNodes = $derived( Object.values(execution.node_states).filter(s => s.status === 'completed').length ); + let runningNodes = $derived( + Object.values(execution.node_states).filter(s => s.status === 'running').length + ); let totalNodes = $derived(Object.keys(execution.node_states).length); + let progressPercent = $derived(totalNodes > 0 ? (completedNodes / totalNodes) * 100 : 0); + + // Get current running node name + let currentNodeName = $derived(() => { + if (execution.current_node) { + return execution.current_node; + } + // Fallback: find first running node + const runningEntry = Object.entries(execution.node_states).find(([_, s]) => s.status === 'running'); + return runningEntry ? runningEntry[0] : null; + }); + + // Status message based on state + let statusMessage = $derived(() => { + if (execution.status === 'completed') { + return `Completed ${completedNodes}/${totalNodes} nodes`; + } + if (execution.status === 'failed') { + return `Failed at ${currentNodeName() || 'unknown'}`; + } + if (execution.status === 'cancelled') { + return 'Cancelled'; + } + if (execution.status === 'running') { + const nodeName = currentNodeName(); + if (nodeName) { + return `Running ${nodeName} (${completedNodes + 1}/${totalNodes})`; + } + return `Running ${completedNodes}/${totalNodes}`; + } + return 'Pending'; + });
@@ -81,6 +116,22 @@
{/if} + + {#if execution.status === 'running' || progressPercent > 0} +
+
+
+ {/if} +
@@ -95,21 +146,15 @@ class:bg-red-500={execution.status === 'failed'} class:bg-yellow-500={execution.status === 'cancelled'} >
- - {execution.status} + + {statusMessage()}
- - {#if totalNodes > 0} -
- {completedNodes} / {totalNodes} nodes -
- {/if} - {#if execution.duration_ms} -
+
+ {(execution.duration_ms / 1000).toFixed(2)}s
{/if} diff --git a/studio/frontend/src/lib/components/graph/SygraFlow.svelte b/studio/frontend/src/lib/components/graph/SygraFlow.svelte index 5f992332..7d577143 100644 --- a/studio/frontend/src/lib/components/graph/SygraFlow.svelte +++ b/studio/frontend/src/lib/components/graph/SygraFlow.svelte @@ -187,6 +187,12 @@ // Track node positions locally to preserve user arrangements let nodePositions = new Map(); + // Check if any node is currently running (for muting other nodes) + let hasRunningNode = $derived(() => { + if (!execution?.node_states) return false; + return Object.values(execution.node_states).some(s => s.status === 'running'); + }); + // Full sync when workflow changes (new workflow loaded) $effect(() => { if (workflow.id !== lastWorkflowId) { @@ -210,7 +216,9 @@ data: { ...node, executionState: execution?.node_states[node.id] ?? null, - isCurrentNode: execution?.current_node === node.id + isCurrentNode: execution?.current_node === node.id, + nodeType: node.node_type, + hasRunningNode: hasRunningNode() }, sourcePosition: Position.Right, targetPosition: Position.Left, @@ -231,7 +239,9 @@ data: { ...node, executionState: execution?.node_states[node.id] ?? null, - isCurrentNode: execution?.current_node === node.id + isCurrentNode: execution?.current_node === node.id, + nodeType: node.node_type, + hasRunningNode: hasRunningNode() }, sourcePosition: Position.Right, targetPosition: Position.Left, @@ -252,7 +262,8 @@ data: { ...node.data, executionState: execution?.node_states[node.id] ?? null, - isCurrentNode: execution?.current_node === node.id + isCurrentNode: execution?.current_node === node.id, + hasRunningNode: hasRunningNode() } })) ); diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte index cb72b6a5..901f04e2 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/DataNode.svelte @@ -119,6 +119,8 @@ executionState={data.executionState} isCurrentNode={data.isCurrentNode} showTargetHandle={false} + nodeType="data" + hasRunningNode={data.hasRunningNode} >
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte index 43f78511..92f5f712 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/EndNode.svelte @@ -22,4 +22,6 @@ executionState={data.executionState} isCurrentNode={data.isCurrentNode} showSourceHandle={true} + nodeType="end" + hasRunningNode={data.hasRunningNode} /> diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte index 1f3598ea..70fe87e9 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/LLMNode.svelte @@ -28,6 +28,8 @@ color="#8b5cf6" executionState={data.executionState} isCurrentNode={data.isCurrentNode} + nodeType="llm" + hasRunningNode={data.hasRunningNode} >
{#if data.model} diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte index 7c021346..7db81c60 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/LambdaNode.svelte @@ -22,4 +22,6 @@ color="#f97316" executionState={data.executionState} isCurrentNode={data.isCurrentNode} + nodeType="lambda" + hasRunningNode={data.hasRunningNode} /> diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte index 30033c56..1212d486 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/NodeWrapper.svelte @@ -13,6 +13,8 @@ isCurrentNode?: boolean; showSourceHandle?: boolean; showTargetHandle?: boolean; + nodeType?: string; // 'data', 'output', 'llm', 'agent', etc. + hasRunningNode?: boolean; // true if any node in the graph is currently running children?: import('svelte').Snippet; } @@ -26,9 +28,27 @@ isCurrentNode = false, showSourceHandle = true, showTargetHandle = true, + nodeType = '', + hasRunningNode = false, children }: Props = $props(); + // Don't show status icons for data, output, start, end nodes + let showStatusIcon = $derived(() => { + const skipTypes = ['data', 'output', 'start', 'end']; + return !skipTypes.includes(nodeType.toLowerCase()); + }); + + // Should this node be muted (dimmed)? + // Mute when another node is running and this node is not the current one + let isMuted = $derived(() => { + if (!hasRunningNode) return false; + // Don't mute if this is the running node + if (executionState?.status === 'running') return false; + if (isCurrentNode) return false; + return true; + }); + let statusColor = $derived(() => { if (!executionState) return ''; switch (executionState.status) { @@ -55,6 +75,7 @@ class:node-running={executionState?.status === 'running'} class:border-gray-200={!executionState} class:dark:border-gray-700={!executionState} + class:opacity-60={isMuted()} style="border-color: {executionState ? '' : ''}" style:border-color={executionState?.status === 'running' ? '#3b82f6' : executionState?.status === 'completed' ? '#22c55e' : @@ -91,8 +112,8 @@ {/if}
- - {#if StatusIcon()} + + {#if StatusIcon() && showStatusIcon()}
{#if executionState?.status === 'running'} diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte index a31ac3a2..73630dac 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/OutputNode.svelte @@ -57,6 +57,8 @@ executionState={data.executionState} isCurrentNode={data.isCurrentNode} showSourceHandle={false} + nodeType="output" + hasRunningNode={data.hasRunningNode} >
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte index 95290b97..9a8fc1c3 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/StartNode.svelte @@ -22,4 +22,6 @@ executionState={data.executionState} isCurrentNode={data.isCurrentNode} showTargetHandle={true} + nodeType="start" + hasRunningNode={data.hasRunningNode} /> diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte index 9907cfcc..56e9e22b 100644 --- a/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/WeightedSamplerNode.svelte @@ -38,6 +38,8 @@ color="#8b5cf6" executionState={data.executionState} isCurrentNode={data.isCurrentNode} + nodeType="weighted_sampler" + hasRunningNode={data.hasRunningNode} >
diff --git a/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte index fdc7f885..62df4c09 100644 --- a/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte +++ b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte @@ -11,18 +11,23 @@ const statusColors: Record = { completed: 'bg-emerald-500', failed: 'bg-red-500', - running: 'bg-blue-500', + running: 'bg-blue-500 animate-pulse', pending: 'bg-gray-300 dark:bg-gray-600', - cancelled: 'bg-red-500' + cancelled: 'bg-amber-500' }; + // Node IDs to skip (data, output, start, end nodes don't have meaningful durations) + const skipNodeIds = ['START', 'END', 'data', 'output']; + let nodes = $derived(() => { - return Object.entries(nodeStates).map(([id, state]) => ({ - id, - status: state.status, - duration: state.duration_ms || 0, - color: statusColors[state.status] || statusColors.pending - })); + return Object.entries(nodeStates) + .filter(([id]) => !skipNodeIds.some(skip => id.toLowerCase().includes(skip.toLowerCase()))) + .map(([id, state]) => ({ + id, + status: state.status, + duration: state.duration_ms || 0, + color: statusColors[state.status] || statusColors.pending + })); }); let totalMs = $derived(() => { diff --git a/studio/frontend/src/lib/components/runs/RunsListView.svelte b/studio/frontend/src/lib/components/runs/RunsListView.svelte index d4b79cbf..226376a2 100644 --- a/studio/frontend/src/lib/components/runs/RunsListView.svelte +++ b/studio/frontend/src/lib/components/runs/RunsListView.svelte @@ -3,11 +3,12 @@ import { Search, Filter, RefreshCw, CheckCircle2, XCircle, Clock, Loader2, ChevronDown, ArrowUpDown, Calendar, Timer, DollarSign, Zap, X, GitBranch, - Trash2, CheckSquare, Square, MinusSquare, Ban, BarChart3, Table, GitCompare + Trash2, CheckSquare, Square, MinusSquare, Ban, BarChart3, Table, GitCompare, Activity } from 'lucide-svelte'; import ConfirmationModal from '../common/ConfirmationModal.svelte'; import RunsAnalyticsDashboard from './RunsAnalyticsDashboard.svelte'; import CustomSelect from '../common/CustomSelect.svelte'; + import RunTimelineBar from './RunTimelineBar.svelte'; let executionHistory = $derived(executionStore.executionHistory); let workflows = $derived(workflowStore.workflows); @@ -664,6 +665,12 @@ + + + + Timeline + + Tokens @@ -729,6 +736,18 @@ {formatDuration(run.duration_ms)} + + {#if run.node_states && Object.keys(run.node_states).length > 0} +
+ +
+ {:else} + - + {/if} + diff --git a/sygra/__init__.py b/sygra/__init__.py index 066afc1a..d509182e 100644 --- a/sygra/__init__.py +++ b/sygra/__init__.py @@ -25,6 +25,11 @@ try: from .core.base_task_executor import BaseTaskExecutor, DefaultTaskExecutor # noqa: F401 from .core.dataset.dataset_processor import DatasetProcessor # noqa: F401 + from .core.execution_callbacks import ( # noqa: F401 + ExecutionCallbacks, + NodeExecutionTracker, + create_execution_tracker, + ) from .core.graph.graph_config import GraphConfig # noqa: F401 from .core.graph.sygra_message import SygraMessage # noqa: F401 from .core.graph.sygra_state import SygraState # noqa: F401 @@ -356,6 +361,9 @@ def get_model_info(model_name: str) -> dict[str, Any]: "SygraMessage", "ResumableExecutionManager", "DatasetProcessor", + "ExecutionCallbacks", + "NodeExecutionTracker", + "create_execution_tracker", ] ) diff --git a/sygra/core/base_task_executor.py b/sygra/core/base_task_executor.py index 6adbf099..ebfb05b3 100644 --- a/sygra/core/base_task_executor.py +++ b/sygra/core/base_task_executor.py @@ -936,7 +936,13 @@ def output_record_generator(self, state: SygraState) -> SygraState: else: return state - def execute(self): + def execute(self, execution_callbacks=None): + """ + Execute the task workflow. + + Args: + execution_callbacks: Optional ExecutionCallbacks for real-time node tracking. + """ graph = self.init_graph() compiled_graph = graph.compile() logger.info("Graph compiled successfully") @@ -1026,6 +1032,7 @@ def execute(self): output_record_generator=self.output_record_generator, resumable=self.resumable, task_name=self.task_name, + execution_callbacks=execution_callbacks, ) dataset_processor.process_and_store_results() diff --git a/sygra/core/dataset/dataset_processor.py b/sygra/core/dataset/dataset_processor.py index c1615f2a..ec7fdfd7 100644 --- a/sygra/core/dataset/dataset_processor.py +++ b/sygra/core/dataset/dataset_processor.py @@ -36,6 +36,7 @@ def __init__( output_record_generator: Optional[Callable] = None, resumable: bool = False, task_name: Optional[str] = None, + execution_callbacks: Optional[Any] = None, # ExecutionCallbacks for node-level tracking ): assert ( checkpoint_interval % batch_size == 0 @@ -52,6 +53,7 @@ def __init__( self.input_record_generator = input_record_generator self.output_record_generator = output_record_generator self.is_valid_schema = True + self.execution_callbacks = execution_callbacks # initialize the state variables self.dataset_indx = start_index @@ -485,6 +487,8 @@ async def _process_record(self, record: Optional[dict[str, Any]]) -> None: self.graph, debug=self.debug, input_record_generator=self.input_record_generator, + execution_callbacks=self.execution_callbacks, + record_index=self.dataset_indx - 1, ) if self.num_records_processed < self.num_records_total: diff --git a/sygra/core/execution_callbacks.py b/sygra/core/execution_callbacks.py new file mode 100644 index 00000000..164ce491 --- /dev/null +++ b/sygra/core/execution_callbacks.py @@ -0,0 +1,327 @@ +""" +Execution Callbacks for SyGra Workflow Execution. + +Provides callback handlers for tracking node-level execution progress, +enabling real-time visualization in Studio and other UIs. +""" + +from __future__ import annotations + +import logging +import time +from dataclasses import dataclass +from typing import Any, Callable, Dict, List, Optional +from uuid import UUID + +from langchain_core.callbacks import AsyncCallbackHandler +from langchain_core.outputs import LLMResult + +logger = logging.getLogger(__name__) + + +@dataclass +class ExecutionCallbacks: + """ + Callbacks for workflow execution events. + + These callbacks are invoked during workflow execution to provide + real-time progress updates for UI visualization. + + Example: + ```python + def on_node_start(node_name: str, input_data: dict): + print(f"Node {node_name} starting with {input_data}") + + def on_node_complete(node_name: str, output_data: dict, duration_ms: int): + print(f"Node {node_name} completed in {duration_ms}ms") + + callbacks = ExecutionCallbacks( + on_node_start=on_node_start, + on_node_complete=on_node_complete, + ) + ``` + """ + + # Called when a node starts execution + on_node_start: Optional[Callable[[str, Dict[str, Any]], None]] = None + + # Called when a node completes successfully + on_node_complete: Optional[Callable[[str, Dict[str, Any], int], None]] = None + + # Called when a node fails + on_node_error: Optional[Callable[[str, str, Dict[str, Any]], None]] = None + + # Called when the entire graph execution starts + on_graph_start: Optional[Callable[[Dict[str, Any]], None]] = None + + # Called when the entire graph execution completes + on_graph_complete: Optional[Callable[[Dict[str, Any], int], None]] = None + + # Called when the graph execution fails + on_graph_error: Optional[Callable[[str, Dict[str, Any]], None]] = None + + # Called for log messages during execution + on_log: Optional[Callable[[str], None]] = None + + +class NodeExecutionTracker(AsyncCallbackHandler): + """ + LangChain/LangGraph callback handler that tracks node execution. + + This handler integrates with LangGraph's callback system to provide + real-time node execution tracking for UI visualization. + + Usage: + ```python + from sygra.core.execution_callbacks import NodeExecutionTracker, ExecutionCallbacks + + callbacks = ExecutionCallbacks( + on_node_start=lambda name, data: print(f"Started: {name}"), + on_node_complete=lambda name, data, ms: print(f"Done: {name} in {ms}ms"), + ) + + tracker = NodeExecutionTracker(callbacks) + + # Pass to graph execution + result = await graph.ainvoke( + input_data, + config={"callbacks": [tracker]} + ) + ``` + """ + + def __init__( + self, + execution_callbacks: Optional[ExecutionCallbacks] = None, + record_index: int = 0, + ): + """ + Initialize the node execution tracker. + + Args: + execution_callbacks: Callbacks to invoke on execution events. + record_index: Index of the current record being processed. + """ + super().__init__() + self.callbacks = execution_callbacks or ExecutionCallbacks() + self.record_index = record_index + + # Track node execution times + self._node_start_times: Dict[str, float] = {} + self._current_node: Optional[str] = None + self._graph_start_time: Optional[float] = None + + @property + def current_node(self) -> Optional[str]: + """Get the currently executing node name.""" + return self._current_node + + # ============ Chain Events (Node Level) ============ + + async def on_chain_start( + self, + serialized: Dict[str, Any], + inputs: Dict[str, Any], + *, + run_id: UUID, + parent_run_id: Optional[UUID] = None, + tags: Optional[List[str]] = None, + metadata: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> None: + """Called when a chain (node) starts execution.""" + # Extract node name from serialized data or metadata + node_name = self._extract_node_name(serialized, metadata, tags) + + if node_name and not self._is_internal_chain(node_name, serialized): + self._current_node = node_name + self._node_start_times[node_name] = time.time() + + logger.debug(f"Node '{node_name}' started (record {self.record_index})") + + if self.callbacks.on_node_start: + try: + self.callbacks.on_node_start(node_name, inputs) + except Exception as e: + logger.error(f"Error in on_node_start callback: {e}") + + async def on_chain_end( + self, + outputs: Dict[str, Any], + *, + run_id: UUID, + parent_run_id: Optional[UUID] = None, + tags: Optional[List[str]] = None, + **kwargs: Any, + ) -> None: + """Called when a chain (node) completes execution.""" + # Use current node name + node_name = self._current_node + + if node_name and node_name in self._node_start_times: + start_time = self._node_start_times.pop(node_name, None) + duration_ms = int((time.time() - start_time) * 1000) if start_time else 0 + + logger.debug( + f"Node '{node_name}' completed in {duration_ms}ms (record {self.record_index})" + ) + + if self.callbacks.on_node_complete: + try: + self.callbacks.on_node_complete(node_name, outputs, duration_ms) + except Exception as e: + logger.error(f"Error in on_node_complete callback: {e}") + + async def on_chain_error( + self, + error: BaseException, + *, + run_id: UUID, + parent_run_id: Optional[UUID] = None, + tags: Optional[List[str]] = None, + **kwargs: Any, + ) -> None: + """Called when a chain (node) fails.""" + node_name = self._current_node + + if node_name: + logger.debug(f"Node '{node_name}' failed: {error} (record {self.record_index})") + + if self.callbacks.on_node_error: + try: + self.callbacks.on_node_error(node_name, str(error), {}) + except Exception as e: + logger.error(f"Error in on_node_error callback: {e}") + + # ============ LLM Events ============ + + async def on_llm_start( + self, + serialized: Dict[str, Any], + prompts: List[str], + *, + run_id: UUID, + parent_run_id: Optional[UUID] = None, + tags: Optional[List[str]] = None, + metadata: Optional[Dict[str, Any]] = None, + **kwargs: Any, + ) -> None: + """Called when an LLM call starts.""" + # LLM calls are tracked at the node level via on_chain_start + pass + + async def on_llm_end( + self, + response: LLMResult, + *, + run_id: UUID, + parent_run_id: Optional[UUID] = None, + tags: Optional[List[str]] = None, + **kwargs: Any, + ) -> None: + """Called when an LLM call completes.""" + # LLM calls are tracked at the node level via on_chain_end + pass + + # ============ Helper Methods ============ + + def _extract_node_name( + self, + serialized: Optional[Dict[str, Any]], + metadata: Optional[Dict[str, Any]], + tags: Optional[List[str]], + ) -> Optional[str]: + """Extract node name from callback data.""" + # Try metadata first (LangGraph sets this) + if metadata: + if "langgraph_node" in metadata: + return str(metadata["langgraph_node"]) + if "node_name" in metadata: + return str(metadata["node_name"]) + + # Try tags + if tags: + for tag in tags: + if tag.startswith("node:"): + return tag[5:] + + # Try serialized data (can be None in some LangGraph callbacks) + if serialized and isinstance(serialized, dict): + # LangGraph node name is often in the 'name' field + name = serialized.get("name") + if name and isinstance(name, str) and not name.startswith("_"): + return str(name) + + # Or in the 'id' field + id_parts = serialized.get("id", []) + if id_parts and len(id_parts) > 0: + # Last part is usually the specific name + return id_parts[-1] if isinstance(id_parts[-1], str) else None + + return None + + def _is_internal_chain( + self, + node_name: str, + serialized: Optional[Dict[str, Any]], + ) -> bool: + """Check if this is an internal LangChain/LangGraph chain to ignore.""" + # Ignore internal chains that aren't actual workflow nodes + internal_prefixes = [ + "RunnableSequence", + "RunnableParallel", + "RunnableLambda", + "ChannelWrite", + "ChannelRead", + "_", + ] + + for prefix in internal_prefixes: + if node_name.startswith(prefix): + return True + + # Check serialized ID (serialized can be None in some LangGraph callbacks) + if serialized and isinstance(serialized, dict): + id_parts = serialized.get("id", []) + if id_parts: + for part in id_parts: + if isinstance(part, str) and any(part.startswith(p) for p in internal_prefixes): + return True + + return False + + +def create_execution_tracker( + on_node_start: Optional[Callable[[str, Dict[str, Any]], None]] = None, + on_node_complete: Optional[Callable[[str, Dict[str, Any], int], None]] = None, + on_node_error: Optional[Callable[[str, str, Dict[str, Any]], None]] = None, + record_index: int = 0, +) -> NodeExecutionTracker: + """ + Convenience function to create a NodeExecutionTracker with callbacks. + + Args: + on_node_start: Called when a node starts (node_name, input_data). + on_node_complete: Called when a node completes (node_name, output_data, duration_ms). + on_node_error: Called when a node fails (node_name, error_message, context). + record_index: Index of the current record being processed. + + Returns: + NodeExecutionTracker instance ready to use with graph.ainvoke(). + + Example: + ```python + tracker = create_execution_tracker( + on_node_start=lambda name, _: print(f"Started: {name}"), + on_node_complete=lambda name, _, ms: print(f"Done: {name} ({ms}ms)"), + ) + + result = await graph.ainvoke(data, config={"callbacks": [tracker]}) + ``` + """ + callbacks = ExecutionCallbacks( + on_node_start=on_node_start, + on_node_complete=on_node_complete, + on_node_error=on_node_error, + ) + return NodeExecutionTracker(callbacks, record_index) diff --git a/sygra/utils/graph_utils.py b/sygra/utils/graph_utils.py index 64474209..6a2c8bd4 100644 --- a/sygra/utils/graph_utils.py +++ b/sygra/utils/graph_utils.py @@ -1,11 +1,15 @@ import traceback -from typing import Any, Callable, Optional +from typing import TYPE_CHECKING, Any, Callable, List, Optional +from langchain_core.callbacks import BaseCallbackHandler from langchain_core.runnables import RunnableConfig from langgraph.graph.state import CompiledStateGraph from sygra.logger.logger_config import logger +if TYPE_CHECKING: + from sygra.core.execution_callbacks import ExecutionCallbacks + def convert_graph_output_to_records( graph_results: list, @@ -31,11 +35,50 @@ async def execute_graph( graph: CompiledStateGraph, debug: bool = False, input_record_generator: Optional[Callable[[dict], dict]] = None, + callbacks: Optional[List[BaseCallbackHandler]] = None, + execution_callbacks: Optional["ExecutionCallbacks"] = None, + record_index: int = 0, ) -> dict[str, Any]: + """ + Execute a compiled graph on a single record. + + Args: + record: Input record to process. + graph: Compiled LangGraph StateGraph. + debug: Enable debug mode. + input_record_generator: Optional function to transform input record. + callbacks: Optional list of LangChain callback handlers. + execution_callbacks: Optional ExecutionCallbacks for node-level tracking. + record_index: Index of the record being processed (for logging). + + Returns: + Graph execution result or error dict. + """ if input_record_generator is not None: record = input_record_generator(record) + + # Build callback list + all_callbacks: List[BaseCallbackHandler] = [] + + # Add user-provided callbacks + if callbacks: + all_callbacks.extend(callbacks) + + # Add execution tracker if ExecutionCallbacks provided + if execution_callbacks: + from sygra.core.execution_callbacks import NodeExecutionTracker + + tracker = NodeExecutionTracker(execution_callbacks, record_index) + all_callbacks.append(tracker) + + # Build config with callbacks + config = RunnableConfig( + recursion_limit=100, + callbacks=all_callbacks if all_callbacks else None, + ) + try: - return await graph.ainvoke(record, debug=debug, config=RunnableConfig(recursion_limit=100)) + return await graph.ainvoke(record, debug=debug, config=config) except Exception as e: logger.error( f"Exception occured when executing graph for record id {record.get('id', None)}: {e}" diff --git a/sygra/utils/utils.py b/sygra/utils/utils.py index 8c5dad71..5ff19e42 100644 --- a/sygra/utils/utils.py +++ b/sygra/utils/utils.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import importlib import json import os @@ -100,6 +102,112 @@ def load_model_config(config_path: Optional[str] = None, include_custom: bool = return base_configs +def load_builtin_models() -> dict[str, Any]: + """ + Load only builtin/core models from SyGra's models.yaml (read-only). + + Returns: + Dict containing builtin model configurations. + """ + if not os.path.exists(constants.MODEL_CONFIG_YAML): + return {} + result = load_yaml_file(constants.MODEL_CONFIG_YAML) + return result if isinstance(result, dict) else {} + + +def load_custom_models() -> dict[str, Any]: + """ + Load only custom user-defined models from studio config. + + Returns: + Dict containing custom model configurations. + """ + if not os.path.exists(constants.CUSTOM_MODELS_CONFIG_YAML): + return {} + try: + return load_yaml_file(constants.CUSTOM_MODELS_CONFIG_YAML) or {} + except Exception: + return {} + + +def save_custom_models(config: dict[str, Any]) -> None: + """ + Save custom models configuration to studio config file. + + Args: + config: Dictionary of custom model configurations. + """ + config_path = Path(constants.CUSTOM_MODELS_CONFIG_YAML) + config_path.parent.mkdir(parents=True, exist_ok=True) + with open(config_path, "w") as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + +def get_builtin_model_names() -> set[str]: + """ + Get the set of builtin model names. + + Returns: + Set of model names that are builtin to SyGra. + """ + return set(load_builtin_models().keys()) + + +def get_model_env_value(model_name: str, env_suffix: str) -> tuple[str, str]: + """ + Get environment variable value for a model, trying multiple prefix formats. + + Args: + model_name: Name of the model. + env_suffix: Environment variable suffix (e.g., 'URL', 'TOKEN'). + + Returns: + Tuple of (value, env_key_used). Value is empty string if not found. + """ + prefixes = [ + f"SYGRA_{model_name.upper()}", # SYGRA_GPT-4O (keep hyphens) + f"SYGRA_{get_env_name(model_name)}", # SYGRA_GPT_4O (normalized) + ] + for prefix in prefixes: + env_key = f"{prefix}_{env_suffix}" + value = os.environ.get(env_key, "") + if value: + return value, env_key + return "", f"{prefixes[0]}_{env_suffix}" + + +def get_model_credentials( + model_name: str, + model_config: dict[str, Any], + env_vars: list[str] | None = None, +) -> dict[str, Any]: + """ + Get credentials for a model with metadata about env var configuration. + + Args: + model_name: Name of the model. + model_config: Model configuration dictionary. + env_vars: List of environment variable suffixes to check (default: ['URL', 'TOKEN']). + + Returns: + Dict containing credential values and metadata: + - {suffix.lower()}: The actual value + - {suffix.lower()}_env_key: The environment variable key name + - {suffix.lower()}_configured: Boolean indicating if value is set + """ + if env_vars is None: + env_vars = ["URL", "TOKEN"] + + creds: dict[str, Any] = {} + for env_var in env_vars: + value, key = get_model_env_value(model_name, env_var) + creds[env_var.lower()] = value + creds[f"{env_var.lower()}_env_key"] = key + creds[f"{env_var.lower()}_configured"] = bool(value) + + return creds + + def get_updated_model_config(model_config: dict) -> dict: """ Updates a model config dictionary with default values from the sygra config file. From d3e20a324e5e259e3efaae6ce717b7e48302e2ad Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Thu, 25 Dec 2025 19:22:41 +0530 Subject: [PATCH 03/20] feat: UI refactor and progress tracking --- .gitignore | 4 + studio/api.py | 379 ++++++++++++++- studio/config/custom_models.yaml | 8 - .../components/builder/WorkflowBuilder.svelte | 47 +- .../components/code/WorkflowCodePanel.svelte | 36 +- .../lib/components/editor/MonacoEditor.svelte | 58 +++ .../execution/ExecutionPanel.svelte | 7 +- .../components/graph/EdgeDetailsPanel.svelte | 4 +- .../components/graph/NodeDetailsPanel.svelte | 4 + .../src/lib/components/graph/SygraFlow.svelte | 60 ++- .../src/lib/components/home/HomeView.svelte | 28 +- .../runs/RunDetailsViewEnhanced.svelte | 33 +- .../components/runs/RunExecutionGraph.svelte | 433 ++++++++++++++++++ .../lib/components/runs/RunTimelineBar.svelte | 226 ++++++++- .../runs/RunsListViewEnhanced.svelte | 27 +- .../src/lib/stores/workflow.svelte.ts | 155 ++++++- studio/frontend/src/routes/+page.svelte | 111 +++-- 17 files changed, 1480 insertions(+), 140 deletions(-) delete mode 100644 studio/config/custom_models.yaml create mode 100644 studio/frontend/src/lib/components/runs/RunExecutionGraph.svelte diff --git a/.gitignore b/.gitignore index e5731828..839d052f 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,7 @@ logs/* *.egg-info/* site/ dist/ +**/metadata/*.json # Studio frontend build artifacts **/node_modules/* @@ -18,3 +19,6 @@ studio/frontend/build/ # Studio runtime data studio/.executions_history.json + +# Studio config +studio/config/custom_models.yaml diff --git a/studio/api.py b/studio/api.py index f4a56d90..a650df79 100644 --- a/studio/api.py +++ b/studio/api.py @@ -1467,6 +1467,14 @@ async def save_workflow_yaml(workflow_id: str, data: Dict[str, Any]): with open(config_path, 'w') as f: f.write(content) + # Reload the workflow from disk to update in-memory cache + try: + graph = app.state.graph_builder.build_from_yaml(str(config_path)) + _workflows[workflow_id] = graph + except Exception as reload_error: + print(f"Warning: Could not reload workflow after YAML save: {reload_error}") + # Still return success since file was saved + return {"status": "saved", "path": str(config_path)} except yaml.YAMLError as e: raise HTTPException(status_code=400, detail=f"Invalid YAML: {str(e)}") @@ -1624,6 +1632,8 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) node_id: The node ID to update. node_data: The updated node data. """ + import yaml + if workflow_id not in _workflows: await list_workflows() @@ -1637,7 +1647,7 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) if not node: raise HTTPException(status_code=404, detail=f"Node {node_id} not found in workflow") - # Update node fields + # Update in-memory node fields if "summary" in node_data: node.summary = node_data["summary"] if "description" in node_data: @@ -1660,7 +1670,355 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) if "metadata" in node_data: node.metadata.update(node_data["metadata"]) - return {"status": "updated", "node_id": node_id} + # Persist changes to the YAML file + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + # Update the node in the config + if 'graph_config' in config and 'nodes' in config['graph_config']: + yaml_node = config['graph_config']['nodes'].get(node_id) + if yaml_node is not None: + # Update fields that were changed + if "summary" in node_data: + yaml_node['summary'] = node_data["summary"] + if "description" in node_data: + yaml_node['description'] = node_data["description"] + if "prompt" in node_data: + yaml_node['prompt'] = node_data["prompt"] + if "model" in node_data: + yaml_node['model'] = { + 'name': node_data["model"].get("name"), + 'parameters': node_data["model"].get("parameters", {}) + } + # Remove empty parameters + if not yaml_node['model']['parameters']: + del yaml_node['model']['parameters'] + if "pre_process" in node_data: + if node_data["pre_process"]: + yaml_node['pre_process'] = node_data["pre_process"] + elif 'pre_process' in yaml_node: + del yaml_node['pre_process'] + if "post_process" in node_data: + if node_data["post_process"]: + yaml_node['post_process'] = node_data["post_process"] + elif 'post_process' in yaml_node: + del yaml_node['post_process'] + if "function_path" in node_data: + if node_data["function_path"]: + yaml_node['function_path'] = node_data["function_path"] + elif 'function_path' in yaml_node: + del yaml_node['function_path'] + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + # Reload workflow from disk to ensure in-memory cache is consistent + try: + graph = app.state.graph_builder.build_from_yaml(str(yaml_path)) + _workflows[workflow_id] = graph + # Update node reference to the reloaded node + node = next((n for n in graph.nodes if n.id == node_id), node) + except Exception as reload_error: + print(f"Warning: Could not reload workflow after node update: {reload_error}") + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to persist node update to file: {str(e)}") + + # Return updated node data for frontend sync + return { + "status": "updated", + "node_id": node_id, + "node": { + "id": node.id, + "summary": node.summary, + "description": node.description, + "model": {"name": node.model.name, "parameters": node.model.parameters} if node.model else None, + "prompt": node.prompt, + "pre_process": node.pre_process, + "post_process": node.post_process, + "function_path": node.function_path, + } + } + + @app.delete("/api/workflows/{workflow_id}/nodes/{node_id}") + async def delete_node(workflow_id: str, node_id: str): + """ + Delete a node from the workflow. + + Args: + workflow_id: The workflow ID. + node_id: The node ID to delete. + """ + import yaml + + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + # Find the node + node = next((n for n in workflow.nodes if n.id == node_id), None) + if not node: + raise HTTPException(status_code=404, detail=f"Node {node_id} not found in workflow") + + # Persist changes to the YAML file + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + # Delete the node from config + if 'graph_config' in config and 'nodes' in config['graph_config']: + if node_id in config['graph_config']['nodes']: + del config['graph_config']['nodes'][node_id] + + # Delete edges connected to this node + if 'graph_config' in config and 'edges' in config['graph_config']: + config['graph_config']['edges'] = [ + e for e in config['graph_config']['edges'] + if e.get('from') != node_id and e.get('to') != node_id + ] + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + # Reload workflow from disk to update cache + try: + graph = app.state.graph_builder.build_from_yaml(str(yaml_path)) + _workflows[workflow_id] = graph + except Exception as reload_error: + print(f"Warning: Could not reload workflow after node delete: {reload_error}") + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete node from file: {str(e)}") + + return {"status": "deleted", "node_id": node_id} + + @app.post("/api/workflows/{workflow_id}/nodes") + async def add_node(workflow_id: str, node_data: Dict[str, Any]): + """ + Add a new node to the workflow. + + Args: + workflow_id: The workflow ID. + node_data: The node configuration including id, node_type, etc. + """ + import yaml + + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + node_id = node_data.get("id") + if not node_id: + raise HTTPException(status_code=400, detail="Node ID is required") + + # Check if node already exists + existing = next((n for n in workflow.nodes if n.id == node_id), None) + if existing: + raise HTTPException(status_code=400, detail=f"Node {node_id} already exists") + + # Persist changes to the YAML file + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + # Initialize graph_config.nodes if not present + if 'graph_config' not in config: + config['graph_config'] = {} + if 'nodes' not in config['graph_config']: + config['graph_config']['nodes'] = {} + + # Create the node config + yaml_node = { + 'node_type': node_data.get('node_type', 'llm'), + } + if 'summary' in node_data: + yaml_node['summary'] = node_data['summary'] + if 'description' in node_data: + yaml_node['description'] = node_data['description'] + if 'model' in node_data and node_data['model']: + yaml_node['model'] = { + 'name': node_data['model'].get('name'), + } + if node_data['model'].get('parameters'): + yaml_node['model']['parameters'] = node_data['model']['parameters'] + if 'prompt' in node_data: + yaml_node['prompt'] = node_data['prompt'] + if 'pre_process' in node_data: + yaml_node['pre_process'] = node_data['pre_process'] + if 'post_process' in node_data: + yaml_node['post_process'] = node_data['post_process'] + if 'function_path' in node_data: + yaml_node['function_path'] = node_data['function_path'] + if 'data_config' in node_data: + yaml_node['data_config'] = node_data['data_config'] + if 'output_config' in node_data: + yaml_node['output_config'] = node_data['output_config'] + if 'tools' in node_data: + yaml_node['tools'] = node_data['tools'] + if 'tool_choice' in node_data: + yaml_node['tool_choice'] = node_data['tool_choice'] + + config['graph_config']['nodes'][node_id] = yaml_node + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + # Reload workflow from disk to update cache + try: + graph = app.state.graph_builder.build_from_yaml(str(yaml_path)) + _workflows[workflow_id] = graph + except Exception as reload_error: + print(f"Warning: Could not reload workflow after node add: {reload_error}") + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to add node to file: {str(e)}") + + return {"status": "added", "node_id": node_id} + + @app.post("/api/workflows/{workflow_id}/edges") + async def add_edge(workflow_id: str, edge_data: Dict[str, Any]): + """ + Add a new edge to the workflow. + + Args: + workflow_id: The workflow ID. + edge_data: The edge configuration including source, target, etc. + """ + import yaml + + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + source = edge_data.get("source") or edge_data.get("from") + target = edge_data.get("target") or edge_data.get("to") + if not source or not target: + raise HTTPException(status_code=400, detail="Source and target are required") + + # Persist changes to the YAML file + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + # Initialize graph_config.edges if not present + if 'graph_config' not in config: + config['graph_config'] = {} + if 'edges' not in config['graph_config']: + config['graph_config']['edges'] = [] + + # Create the edge config + yaml_edge = { + 'from': source, + 'to': target, + } + if 'label' in edge_data: + yaml_edge['label'] = edge_data['label'] + if edge_data.get('is_conditional') or edge_data.get('condition'): + if 'condition' in edge_data: + yaml_edge['condition'] = edge_data['condition'].get('condition_path') + if 'path_map' in edge_data.get('condition', {}): + yaml_edge['path_map'] = edge_data['condition']['path_map'] + + config['graph_config']['edges'].append(yaml_edge) + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + # Reload workflow from disk to update cache + try: + graph = app.state.graph_builder.build_from_yaml(str(yaml_path)) + _workflows[workflow_id] = graph + except Exception as reload_error: + print(f"Warning: Could not reload workflow after edge add: {reload_error}") + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to add edge to file: {str(e)}") + + return {"status": "added", "source": source, "target": target} + + @app.delete("/api/workflows/{workflow_id}/edges/{edge_id}") + async def delete_edge(workflow_id: str, edge_id: str): + """ + Delete an edge from the workflow. + + Args: + workflow_id: The workflow ID. + edge_id: The edge ID to delete (format: source-target or the edge's id). + """ + import yaml + + if workflow_id not in _workflows: + await list_workflows() + + if workflow_id not in _workflows: + raise HTTPException(status_code=404, detail=f"Workflow {workflow_id} not found") + + workflow = _workflows[workflow_id] + + # Persist changes to the YAML file + if workflow.source_path: + yaml_path = Path(workflow.source_path) + if yaml_path.exists(): + try: + with open(yaml_path, 'r') as f: + config = yaml.safe_load(f) + + # Delete matching edges + if 'graph_config' in config and 'edges' in config['graph_config']: + original_count = len(config['graph_config']['edges']) + # Try to match by edge_id (source-target pattern) or exact id + config['graph_config']['edges'] = [ + e for e in config['graph_config']['edges'] + if not ( + f"{e.get('from')}-{e.get('to')}" == edge_id or + e.get('id') == edge_id + ) + ] + deleted_count = original_count - len(config['graph_config']['edges']) + + if deleted_count == 0: + raise HTTPException(status_code=404, detail=f"Edge {edge_id} not found") + + with open(yaml_path, 'w') as f: + yaml.dump(config, f, default_flow_style=False, sort_keys=False) + + # Reload workflow from disk to update cache + try: + graph = app.state.graph_builder.build_from_yaml(str(yaml_path)) + _workflows[workflow_id] = graph + except Exception as reload_error: + print(f"Warning: Could not reload workflow after edge delete: {reload_error}") + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=f"Failed to delete edge from file: {str(e)}") + + return {"status": "deleted", "edge_id": edge_id} # ==================== Code Execution & Debug Endpoints ==================== @@ -3721,12 +4079,21 @@ def drain_node_events(): execution.error = error_msg execution.completed_at = datetime.now() - # Mark current node as failed - if execution.current_node: - node_state = execution.node_states.get(execution.current_node) - if node_state: + # Mark current node as failed, and all pending nodes as cancelled + for node_id, node_state in execution.node_states.items(): + if node_id == execution.current_node: + # The node that failed node_state.status = ExecutionStatus.FAILED node_state.error = error_msg + node_state.completed_at = datetime.now() + elif node_state.status == ExecutionStatus.PENDING: + # Nodes that never ran due to the failure - mark as cancelled + node_state.status = ExecutionStatus.CANCELLED + elif node_state.status == ExecutionStatus.RUNNING: + # Any running node should also be marked as failed + node_state.status = ExecutionStatus.FAILED + node_state.error = "Execution aborted due to failure" + node_state.completed_at = datetime.now() # Clean up process if it exists if execution_id in _running_processes: diff --git a/studio/config/custom_models.yaml b/studio/config/custom_models.yaml deleted file mode 100644 index e685f3f5..00000000 --- a/studio/config/custom_models.yaml +++ /dev/null @@ -1,8 +0,0 @@ -test: - model_type: azure_openai - model: test - api_version: 2024-08-01-preview - parameters: - max_tokens: 1000 - temperature: 0.7 - xyz: pqr diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index 75412bf2..554f363a 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -298,7 +298,8 @@ id: node.id, type: node.node_type, position: node.position, - data: { ...node }, + // Add _version to force SvelteFlow to detect data changes + data: { ...node, _version: Date.now() }, sourcePosition: Position.Right, targetPosition: Position.Left, selectable: true, @@ -330,6 +331,7 @@ // Track workflow nodes/edges count to detect deletions and additions let lastNodesCount = $state(0); let lastEdgesCount = $state(0); + let lastWorkflowVersion = $state(0); // Sync from workflow to stores when workflow changes (ID, nodes count, or edges count) $effect(() => { @@ -348,6 +350,20 @@ } }); + // Also sync when workflowVersion changes (node data updates like model changes) + $effect(() => { + const currentVersion = workflowStore.workflowVersion; + // Read directly from store to ensure we get the latest data + const currentWf = workflowStore.currentWorkflow; + if (currentVersion > lastWorkflowVersion && currentWf) { + console.log('[WorkflowBuilder] Version changed:', lastWorkflowVersion, '->', currentVersion, 'syncing nodes...'); + lastWorkflowVersion = currentVersion; + // Sync nodes when version changes (handles data updates within nodes) + nodes.set(workflowNodesToFlowNodes(currentWf.nodes)); + edges.set(workflowEdgesToFlowEdges(currentWf.edges)); + } + }); + // Force sync edges from workflow store to SvelteFlow export function syncEdgesFromStore() { // Read directly from store to ensure we get the latest data @@ -361,8 +377,17 @@ export function syncNodesFromStore() { // Read directly from store to ensure we get the latest data const currentWf = workflowStore.currentWorkflow; + console.log('[syncNodesFromStore] Current workflow from store:', currentWf?.id); + console.log('[syncNodesFromStore] Nodes count:', currentWf?.nodes?.length); if (currentWf) { - nodes.set(workflowNodesToFlowNodes(currentWf.nodes)); + // Log first node's model for debugging + const firstLLMNode = currentWf.nodes.find(n => n.node_type === 'llm'); + if (firstLLMNode) { + console.log('[syncNodesFromStore] First LLM node model:', firstLLMNode.model?.name); + } + const flowNodes = workflowNodesToFlowNodes(currentWf.nodes); + console.log('[syncNodesFromStore] Setting SvelteFlow nodes:', flowNodes.length); + nodes.set(flowNodes); } } @@ -848,7 +873,7 @@ } // Delete selected nodes and edges - function handleDeleteSelected() { + async function handleDeleteSelected() { const nodesToDelete = selectedNodeIds.filter(id => id !== 'START' && id !== 'END'); const edgesToDelete = selectedEdgeIds; @@ -862,15 +887,15 @@ workflowStore.pushUndo(); - // Delete edges first - edgesToDelete.forEach(edgeId => { - workflowStore.removeEdge(edgeId); - }); + // Delete edges first (async) + for (const edgeId of edgesToDelete) { + await workflowStore.removeEdge(edgeId); + } - // Delete nodes (this will also remove connected edges) - nodesToDelete.forEach(nodeId => { - workflowStore.removeNode(nodeId); - }); + // Delete nodes (async - this will also remove connected edges) + for (const nodeId of nodesToDelete) { + await workflowStore.deleteNode(nodeId); + } // Clear selection selectedNodeIds = []; diff --git a/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte index b899ebe2..b13c56fb 100644 --- a/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte +++ b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte @@ -1,5 +1,6 @@
diff --git a/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte index 27cd2a7a..db79f486 100644 --- a/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte +++ b/studio/frontend/src/lib/components/execution/ExecutionPanel.svelte @@ -1,7 +1,7 @@ + +
@@ -309,12 +322,13 @@
{#each recentRuns as run (run.id)} - {@const status = statusConfig[run.status] || statusConfig.pending} + {@const effectiveStatus = getEffectiveStatusForRun(run)} + {@const status = statusConfig[effectiveStatus] || statusConfig.pending} {@const StatusIcon = status.icon} + + + + nodeColors[node.type ?? 'llm'] ?? '#6b7280'} + bgColor={isDarkMode ? '#1e293b' : '#ffffff'} + maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} + pannable={true} + zoomable={true} + /> + + {/if} +
+ + +
+ +
+

+ + Execution Timeline +

+
+ + + {stats().completed} + + {#if stats().failed > 0} + + + {stats().failed} + + {/if} + {#if stats().running > 0} + + + {stats().running} + + {/if} + + {stats().completed + stats().failed}/{stats().total} + +
+
+ + +
+ {#each timelineNodes() as node (node.id)} + {@const Icon = node.icon} + {@const widthPct = Math.min(Math.max((node.duration_ms || 0) / totalDuration() * 100, 8), 100)} + + {/each} + + {#if timelineNodes().length === 0} +
+ +

No execution data

+
+ {/if} +
+ + + {#if execution.duration_ms} +
+
+ Total Duration + + {formatDuration(execution.duration_ms)} + +
+
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte index 62df4c09..465a1096 100644 --- a/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte +++ b/studio/frontend/src/lib/components/runs/RunTimelineBar.svelte @@ -1,5 +1,5 @@ -
- {#each nodes() as node} - {@const widthPct = Math.max((node.duration / totalMs()) * 100, 5)} +{#if useCompactView()} + +
+ +
+ {#each segments() as segment} +
handleSegmentMouseEnter(segment, e)} + onmouseleave={handleSegmentMouseLeave} + role="button" + tabindex="0" + >
+ {/each} +
+ +
+ {statusCounts().completed} + / + {nodes().length} +
+ + {#if hasFailed()} +
+ +
+ {/if} +
+ + + {#if hoveredSegment} +
+
+
{hoveredSegment.status}
+
+ {hoveredSegment.count} node{hoveredSegment.count !== 1 ? 's' : ''} +
+
+
+ {/if} +{:else} + +
+ {#each nodes() as node, i} + +
handleDotMouseEnter(node, e)} + onmouseleave={handleDotMouseLeave} + role="button" + tabindex="0" + >
+ + {#if i < nodes().length - 1} +
+ {/if} + {/each} + + {#if hasFailed()} +
+ +
+ {/if} +
+ + + {#if hoveredNode}
- {/each} -
+ class="fixed z-[100] pointer-events-none transform -translate-x-1/2 -translate-y-full" + style="left: {hoveredNode.x}px; top: {hoveredNode.y - 8}px;" + > +
+
{hoveredNode.id}
+
+ {hoveredNode.status} โ€ข {formatDuration(hoveredNode.duration)} +
+
+
+ {/if} +{/if} diff --git a/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte index 9c0bd58c..bb072644 100644 --- a/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte +++ b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte @@ -136,9 +136,27 @@ running: { icon: Loader2, color: 'text-blue-500', bg: 'bg-blue-100 dark:bg-blue-900/30' }, completed: { icon: CheckCircle2, color: 'text-emerald-500', bg: 'bg-emerald-100 dark:bg-emerald-900/30' }, failed: { icon: XCircle, color: 'text-red-500', bg: 'bg-red-100 dark:bg-red-900/30' }, - cancelled: { icon: Ban, color: 'text-red-500', bg: 'bg-red-100 dark:bg-red-900/30' } + cancelled: { icon: Ban, color: 'text-orange-500', bg: 'bg-orange-100 dark:bg-orange-900/30' } }; + // Get effective status - checks if any node failed + function getEffectiveStatus(run: Execution): string { + // If the run's status is already failed/cancelled, use that + if (run.status === 'failed' || run.status === 'cancelled') { + return run.status; + } + // Check if any node failed + if (run.node_states) { + const hasFailedNode = Object.values(run.node_states).some( + (state: any) => state.status === 'failed' || state.status === 'cancelled' + ); + if (hasFailedNode) { + return 'failed'; + } + } + return run.status; + } + // Row action menu state let activeMenuRunId = $state(null); @@ -829,7 +847,8 @@ {#each filteredRuns() as run (run.id)} - {@const status = statusConfig[run.status] || statusConfig.pending} + {@const effectiveStatus = getEffectiveStatus(run)} + {@const status = statusConfig[effectiveStatus] || statusConfig.pending} {@const StatusIcon = status.icon} {@const isSelected = selectedRunIds.has(run.id)} {@const isPinned = pinnedRunIds.has(run.id)} @@ -871,8 +890,8 @@ - - {run.status} + + {effectiveStatus} diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 206b5ec6..b82b4e9f 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -338,6 +338,9 @@ function createWorkflowStore() { let availableModels = $state([]); let loading = $state(false); + // Version counter to force reactivity updates + let workflowVersion = $state(0); + // Undo/Redo state const MAX_UNDO_STACK = 50; let undoStack = $state>([]); @@ -362,6 +365,7 @@ function createWorkflowStore() { return { get workflows() { return workflows; }, get currentWorkflow() { return currentWorkflow; }, + get workflowVersion() { return workflowVersion; }, get availableModels() { return availableModels; }, get loading() { return loading; }, get error() { return error; }, @@ -502,6 +506,7 @@ function createWorkflowStore() { const response = await fetch(`${API_BASE}/workflows/${id}`); if (!response.ok) throw new Error('Failed to load workflow'); currentWorkflow = await response.json(); + workflowVersion++; return currentWorkflow; } catch (e) { error = e instanceof Error ? e.message : 'Unknown error'; @@ -511,6 +516,28 @@ function createWorkflowStore() { } }, + // Reload the current workflow from the backend (useful after YAML edits) + async reloadCurrentWorkflow(): Promise { + if (!currentWorkflow) return null; + const id = currentWorkflow.id; + if (id.startsWith('new_')) return currentWorkflow; // Can't reload new workflows + + console.log('[reloadCurrentWorkflow] Reloading workflow:', id); + try { + const response = await fetch(`${API_BASE}/workflows/${id}`); + if (!response.ok) throw new Error('Failed to reload workflow'); + const newWorkflow = await response.json(); + currentWorkflow = newWorkflow; + workflowVersion++; + console.log('[reloadCurrentWorkflow] Workflow reloaded, version:', workflowVersion); + return currentWorkflow; + } catch (e) { + console.error('[reloadCurrentWorkflow] Error:', e); + error = e instanceof Error ? e.message : 'Unknown error'; + return null; + } + }, + async loadAvailableModels() { try { const response = await fetch(`${API_BASE}/models`); @@ -541,14 +568,22 @@ function createWorkflowStore() { if (isNewWorkflow) { const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); if (nodeIndex !== -1) { - const updatedNodes = [...currentWorkflow.nodes]; const finalId = newId || nodeId; - updatedNodes[nodeIndex] = { - ...updatedNodes[nodeIndex], + + // Create a new node object with updated data + const updatedNode: WorkflowNode = { + ...currentWorkflow.nodes[nodeIndex], ...restNodeData, id: finalId }; + // Create a new nodes array without mutating the original + const newNodes = [ + ...currentWorkflow.nodes.slice(0, nodeIndex), + updatedNode, + ...currentWorkflow.nodes.slice(nodeIndex + 1) + ]; + // If ID changed, update all edges referencing this node if (newId && newId !== nodeId) { const updatedEdges = currentWorkflow.edges.map(edge => ({ @@ -558,15 +593,19 @@ function createWorkflowStore() { })); currentWorkflow = { ...currentWorkflow, - nodes: updatedNodes, + nodes: newNodes, edges: updatedEdges }; } else { currentWorkflow = { ...currentWorkflow, - nodes: updatedNodes + nodes: newNodes }; } + + // Increment version to force dependent $derived values to update + workflowVersion++; + console.log('[updateNode] New workflow updated, version:', workflowVersion); } return true; } @@ -593,35 +632,67 @@ function createWorkflowStore() { const result = await response.json(); console.log('updateNode result:', result); - // Update local state + // Update local state - create completely new arrays to ensure Svelte 5 reactivity const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); if (nodeIndex !== -1) { const finalId = newId || nodeId; - currentWorkflow.nodes[nodeIndex] = { + + // Use API response data if available, otherwise fall back to sent data + const apiNodeData = result.node || {}; + + // Create a new node object with updated data (don't mutate existing) + // Merge: existing node -> sent data -> API response data (most authoritative) + const updatedNode: WorkflowNode = { ...currentWorkflow.nodes[nodeIndex], ...restNodeData, + ...(apiNodeData.model ? { model: apiNodeData.model } : {}), + ...(apiNodeData.summary !== undefined ? { summary: apiNodeData.summary } : {}), + ...(apiNodeData.description !== undefined ? { description: apiNodeData.description } : {}), + ...(apiNodeData.prompt !== undefined ? { prompt: apiNodeData.prompt } : {}), + ...(apiNodeData.pre_process !== undefined ? { pre_process: apiNodeData.pre_process } : {}), + ...(apiNodeData.post_process !== undefined ? { post_process: apiNodeData.post_process } : {}), + ...(apiNodeData.function_path !== undefined ? { function_path: apiNodeData.function_path } : {}), id: finalId }; + console.log('Updated node:', updatedNode); + + // Create a new nodes array without mutating the original + const newNodes = [ + ...currentWorkflow.nodes.slice(0, nodeIndex), + updatedNode, + ...currentWorkflow.nodes.slice(nodeIndex + 1) + ]; + // If ID changed, update all edges referencing this node + let updatedWorkflow: Workflow; if (newId && newId !== nodeId) { const updatedEdges = currentWorkflow.edges.map(edge => ({ ...edge, source: edge.source === nodeId ? newId : edge.source, target: edge.target === nodeId ? newId : edge.target })); - currentWorkflow = { + updatedWorkflow = { ...currentWorkflow, - nodes: [...currentWorkflow.nodes], + nodes: newNodes, edges: updatedEdges }; } else { - // Trigger reactivity by creating new array and workflow object - currentWorkflow = { + // Assign new workflow object with new nodes array + updatedWorkflow = { ...currentWorkflow, - nodes: [...currentWorkflow.nodes] + nodes: newNodes }; } + + // Force assignment to trigger Svelte 5 reactivity + currentWorkflow = null; + currentWorkflow = updatedWorkflow; + + // Increment version to force dependent $derived values to update + workflowVersion++; + + console.log('Workflow updated, new node count:', currentWorkflow?.nodes.length, 'version:', workflowVersion); } return true; @@ -897,12 +968,35 @@ function createWorkflowStore() { if (!currentWorkflow) return false; if (nodeId === 'START' || nodeId === 'END') return false; // Can't remove start/end + // Check if this is a new workflow (not yet saved to backend) + const isNewWorkflow = currentWorkflow.id.startsWith('new_'); + try { + // For existing workflows, call the API to persist changes + if (!isNewWorkflow) { + const response = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}/nodes/${nodeId}`, { + method: 'DELETE' + }); + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error(errorData.detail || 'Failed to delete node'); + } + // Reload workflow from backend to get consistent state + const reloadResponse = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}`); + if (reloadResponse.ok) { + currentWorkflow = await reloadResponse.json(); + workflowVersion++; + return true; + } + } + + // For new workflows or as fallback, update local state currentWorkflow = { ...currentWorkflow, nodes: currentWorkflow.nodes.filter(n => n.id !== nodeId), edges: currentWorkflow.edges.filter(e => e.source !== nodeId && e.target !== nodeId) }; + workflowVersion++; return true; } catch (e) { console.error('Failed to delete node:', e); @@ -911,8 +1005,8 @@ function createWorkflowStore() { }, // Remove an edge from the current workflow - removeEdge(edgeId: string) { - if (!currentWorkflow) return; + async removeEdge(edgeId: string): Promise { + if (!currentWorkflow) return false; // Try to find the edge with various ID formats let edgeToRemove = currentWorkflow.edges.find(e => e.id === edgeId); @@ -934,11 +1028,42 @@ function createWorkflowStore() { } } - if (edgeToRemove) { + if (!edgeToRemove) return false; + + // Check if this is a new workflow (not yet saved to backend) + const isNewWorkflow = currentWorkflow.id.startsWith('new_'); + + try { + // For existing workflows, call the API to persist changes + if (!isNewWorkflow) { + // Use source-target format for edge ID + const apiEdgeId = `${edgeToRemove.source}-${edgeToRemove.target}`; + const response = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}/edges/${apiEdgeId}`, { + method: 'DELETE' + }); + if (!response.ok) { + const errorData = await response.json().catch(() => ({})); + throw new Error(errorData.detail || 'Failed to delete edge'); + } + // Reload workflow from backend to get consistent state + const reloadResponse = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}`); + if (reloadResponse.ok) { + currentWorkflow = await reloadResponse.json(); + workflowVersion++; + return true; + } + } + + // For new workflows or as fallback, update local state currentWorkflow = { ...currentWorkflow, edges: currentWorkflow.edges.filter(e => e.id !== edgeToRemove!.id) }; + workflowVersion++; + return true; + } catch (e) { + console.error('Failed to delete edge:', e); + return false; } }, diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index 056a6918..1c6a9295 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -18,7 +18,14 @@ import UnsavedChangesModal from '$lib/components/builder/UnsavedChangesModal.svelte'; import { Play, StopCircle, LayoutGrid } from 'lucide-svelte'; - let currentWorkflow = $derived(workflowStore.currentWorkflow); + // Read version to force re-evaluation when workflow is updated + let _version = $derived(workflowStore.workflowVersion); + let currentWorkflow = $derived.by(() => { + // Depend on version to force re-evaluation on updates + const v = workflowStore.workflowVersion; + console.log('[+page] Getting currentWorkflow, version:', v); + return workflowStore.currentWorkflow; + }); let currentExecution = $derived(executionStore.currentExecution); let selectedNodeId = $derived(uiStore.selectedNodeId); let showResultsModal = $derived(uiStore.showResultsModal); @@ -54,6 +61,11 @@ clearDraftNow: () => void; } | undefined>(undefined); + // Reference to WorkflowCodePanel for refreshing after UI changes + let codePanelRef = $state<{ + refresh: () => void; + } | undefined>(undefined); + // Show unsaved changes modal when pending navigation exists let pendingNavigation = $derived(uiStore.pendingNavigation); let showUnsavedChangesModal = $derived(pendingNavigation !== null); @@ -228,11 +240,22 @@ } function handleBuilderNodeSave(event: CustomEvent<{ nodeId: string; newId?: string; updates: Partial }>) { + console.log('[handleBuilderNodeSave] Called with:', event.detail); + // Sync nodes from workflow store to SvelteFlow store if (workflowBuilderRef) { + console.log('[handleBuilderNodeSave] Calling syncNodesFromStore...'); workflowBuilderRef.syncNodesFromStore(); // Also sync edges in case the node ID changed and affected edge references workflowBuilderRef.syncEdgesFromStore(); + } else { + console.warn('[handleBuilderNodeSave] workflowBuilderRef is undefined!'); + } + + // Refresh the code panel to show updated YAML + if (codePanelRef) { + console.log('[handleBuilderNodeSave] Refreshing code panel...'); + codePanelRef.refresh(); } // If node ID was changed, update the selection to the new ID @@ -246,42 +269,68 @@ // Just clear the selection uiStore.selectNode(null); } + + // Handle YAML saved in code panel - reload workflow and sync visual UI + async function handleYamlSaved() { + console.log('[handleYamlSaved] YAML saved, reloading workflow...'); + // Reload workflow from backend to get updated data + await workflowStore.reloadCurrentWorkflow(); + // Sync the visual UI + if (workflowBuilderRef) { + workflowBuilderRef.syncNodesFromStore(); + workflowBuilderRef.syncEdgesFromStore(); + } + } {#if currentView === 'builder'} -
-
- -
+
+ +
+
+ +
- - {#if selectedNodeId && currentWorkflow} - {@const selectedNode = currentWorkflow.nodes.find(n => n.id === selectedNodeId)} - {#if selectedNode} - uiStore.selectNode(null)} - on:save={handleBuilderNodeSave} - on:delete={handleBuilderNodeDelete} + + {#if selectedNodeId && currentWorkflow} + {@const selectedNode = currentWorkflow.nodes.find(n => n.id === selectedNodeId)} + {#if selectedNode} + uiStore.selectNode(null)} + on:save={handleBuilderNodeSave} + on:delete={handleBuilderNodeDelete} + /> + {/if} + {:else if selectedEdge && currentWorkflow} + n.id === selectedEdge.source)} + targetNode={currentWorkflow.nodes.find(n => n.id === selectedEdge.target)} + editable={true} + on:close={() => selectedEdge = null} + on:update={handleBuilderEdgeUpdate} + on:delete={handleBuilderEdgeDelete} /> {/if} - {:else if selectedEdge && currentWorkflow} - n.id === selectedEdge.source)} - targetNode={currentWorkflow.nodes.find(n => n.id === selectedEdge.target)} - editable={true} - on:close={() => selectedEdge = null} - on:update={handleBuilderEdgeUpdate} - on:delete={handleBuilderEdgeDelete} +
+ + + {#if currentWorkflow && !currentWorkflow.id.startsWith('new_')} + codePanelCollapsed = true} + on:yamlSaved={handleYamlSaved} /> {/if}
@@ -463,9 +512,11 @@ {#if currentWorkflow} codePanelCollapsed = true} + on:yamlSaved={handleYamlSaved} /> {/if}
From 45de2fdfb4e913f3b2f9e8e711fbd154228e0b47 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Thu, 25 Dec 2025 23:32:40 +0530 Subject: [PATCH 04/20] feat: perf improvement and UI improvements --- .../components/builder/WorkflowBuilder.svelte | 36 +-- .../components/code/WorkflowCodePanel.svelte | 2 +- .../components/data/DataSourcePanel.svelte | 2 +- .../components/editor/LazyMonacoEditor.svelte | 92 ++++++ .../components/execution/ResultsModal.svelte | 3 +- .../components/graph/EdgeDetailsPanel.svelte | 2 +- .../lib/components/graph/FitViewHelper.svelte | 23 ++ .../components/graph/NodeDetailsPanel.svelte | 2 +- .../src/lib/components/graph/SygraFlow.svelte | 49 ++- .../graph/renderers/nodes/SubgraphNode.svelte | 70 ++-- .../src/lib/components/home/HomeView.svelte | 5 +- .../lib/components/library/LibraryView.svelte | 2 +- .../lib/components/library/ToolLibrary.svelte | 2 +- .../components/runs/RunComparisonView.svelte | 48 +-- .../lib/components/runs/RunDetailsView.svelte | 31 +- .../runs/RunDetailsViewEnhanced.svelte | 27 +- .../components/runs/RunExecutionGraph.svelte | 22 +- .../runs/RunsAnalyticsDashboard.svelte | 40 ++- .../RunsAnalyticsDashboardEnhanced.svelte | 32 +- .../lib/components/runs/RunsListView.svelte | 3 +- .../runs/RunsListViewEnhanced.svelte | 3 +- .../src/lib/components/sidebar/Sidebar.svelte | 3 +- .../workflows/WorkflowsListView.svelte | 9 +- .../src/lib/stores/workflow.svelte.ts | 83 +++-- studio/frontend/src/routes/+layout.svelte | 15 + studio/frontend/src/routes/+page.svelte | 303 +++++++++++++----- studio/frontend/src/styles/global.css | 27 ++ studio/frontend/svelte.config.js | 2 +- studio/frontend/vite.config.js | 18 ++ 29 files changed, 707 insertions(+), 249 deletions(-) create mode 100644 studio/frontend/src/lib/components/editor/LazyMonacoEditor.svelte create mode 100644 studio/frontend/src/lib/components/graph/FitViewHelper.svelte diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index 554f363a..809b41f6 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -1,5 +1,5 @@ + +{#if loading} +
+
+ + + + + Loading editor... +
+
+{:else if error} +
+ Failed to load editor: {error} +
+{:else if MonacoEditor} + +{/if} diff --git a/studio/frontend/src/lib/components/execution/ResultsModal.svelte b/studio/frontend/src/lib/components/execution/ResultsModal.svelte index 351e798a..d93cda73 100644 --- a/studio/frontend/src/lib/components/execution/ResultsModal.svelte +++ b/studio/frontend/src/lib/components/execution/ResultsModal.svelte @@ -1,5 +1,6 @@ diff --git a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte index d55628ed..ac70dfbb 100644 --- a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte +++ b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte @@ -3,7 +3,7 @@ import { X, Bot, Zap, Link, Play, Square, Globe, Boxes, Save, ChevronDown, Code, Settings, MessageSquare, Info, GitBranch, Plus, Trash2, Edit3, GripVertical, Database, Download, Cloud, Server, HardDrive, ArrowRight, Map, Shuffle, Wrench, AlertCircle, Library, Eye, EyeOff, Loader2 } from 'lucide-svelte'; import { workflowStore, type WorkflowNode, type NodeExecutionState, type PromptMessage } from '$lib/stores/workflow.svelte'; import { toolStore } from '$lib/stores/tool.svelte'; - import MonacoEditor from '$lib/components/editor/MonacoEditor.svelte'; + import MonacoEditor from '$lib/components/editor/LazyMonacoEditor.svelte'; import ConfirmModal from '$lib/components/common/ConfirmModal.svelte'; import CustomSelect from '$lib/components/common/CustomSelect.svelte'; import ToolPickerModal from '$lib/components/builder/ToolPickerModal.svelte'; diff --git a/studio/frontend/src/lib/components/graph/SygraFlow.svelte b/studio/frontend/src/lib/components/graph/SygraFlow.svelte index 900c4765..e1094d86 100644 --- a/studio/frontend/src/lib/components/graph/SygraFlow.svelte +++ b/studio/frontend/src/lib/components/graph/SygraFlow.svelte @@ -15,7 +15,7 @@ MarkerType } from '@xyflow/svelte'; import { writable, get, derived } from 'svelte/store'; - import { createEventDispatcher } from 'svelte'; + import { createEventDispatcher, tick } from 'svelte'; import { workflowStore, type Workflow, type Execution } from '$lib/stores/workflow.svelte'; // Node components @@ -35,6 +35,9 @@ // Workflow boundary visualization import WorkflowBoundary from './WorkflowBoundary.svelte'; + // FitView helper (must be inside SvelteFlow to use useSvelteFlow hook) + import FitViewHelper from './FitViewHelper.svelte'; + // Import SvelteFlow styles import '@xyflow/svelte/dist/style.css'; @@ -125,6 +128,9 @@ const nodes = writable([]); const edges = writable([]); + // Store to trigger fitView - increment to trigger + const fitViewTrigger = writable(0); + // Node types that are part of the main workflow (inside the boundary) // Excludes: 'data' (input), 'output' (result), and 'tool' which stay outside const workflowNodeTypes = new Set([ @@ -133,18 +139,20 @@ ]); // Estimated node dimensions for bounding box calculation (based on NodeWrapper styles) - // Slightly overestimated to ensure proper margins + // These heights account for: header (~56px) + optional content + potential duration display + // Overestimated slightly to ensure proper margins around the workflow boundary const nodeDimensions: Record = { - start: { width: 160, height: 60 }, - end: { width: 160, height: 60 }, - llm: { width: 240, height: 80 }, - lambda: { width: 220, height: 75 }, - subgraph: { width: 260, height: 85 }, - weighted_sampler: { width: 240, height: 80 }, - connector: { width: 180, height: 60 }, - web_agent: { width: 220, height: 75 }, - data: { width: 200, height: 70 }, - output: { width: 200, height: 70 } + start: { width: 160, height: 70 }, + end: { width: 160, height: 70 }, + llm: { width: 240, height: 90 }, + lambda: { width: 220, height: 85 }, + subgraph: { width: 260, height: 100 }, + weighted_sampler: { width: 240, height: 90 }, + connector: { width: 180, height: 70 }, + web_agent: { width: 220, height: 85 }, + agent: { width: 240, height: 90 }, + data: { width: 200, height: 80 }, + output: { width: 200, height: 80 } }; // Derive bounding box for workflow nodes (excluding data and output) @@ -167,11 +175,11 @@ }); // Add padding around the boundary - // Use asymmetric padding: more on right to account for node rendering differences + // Use asymmetric padding to account for node rendering differences const paddingLeft = 25; const paddingRight = 45; // Extra padding on right side const paddingTop = 25; - const paddingBottom = 30; + const paddingBottom = 40; // Extra padding on bottom to match visual appearance of other sides return { x: minX - paddingLeft, @@ -226,6 +234,11 @@ selectable: true, draggable: true }))); + + // Trigger fitView after nodes are loaded + tick().then(() => { + fitViewTrigger.update(n => n + 1); + }); }).catch(() => { // Fallback to original positions if layout fails nodePositions = new Map(); @@ -249,6 +262,11 @@ selectable: true, draggable: true }))); + + // Trigger fitView after nodes are loaded + tick().then(() => { + fitViewTrigger.update(n => n + 1); + }); }); } }); @@ -439,6 +457,9 @@ + + + - -
+ +
+ +
@@ -245,11 +247,13 @@
- {#if data.executionState?.duration_ms} -
- Duration: {data.executionState.duration_ms}ms -
- {/if} + {#if data.executionState?.duration_ms} +
+ Duration: {data.executionState.duration_ms}ms +
+ {/if} +
+ - -
-
- -
-
-
- {data.summary || data.id} + +
+ +
+
+
-
- {data.subgraph_path || 'Subgraph'} +
+
+ {data.summary || data.id} +
+
+ {data.subgraph_path || 'Subgraph'} +
+ + + {#if data.executionState?.status === 'running'} + + {:else if data.executionState?.status === 'completed'} + + {:else if data.executionState?.status === 'failed'} + + {/if}
- - {#if data.executionState?.status === 'running'} - - {:else if data.executionState?.status === 'completed'} - - {:else if data.executionState?.status === 'failed'} - + + {#if data.executionState?.duration_ms} +
+ Duration: {data.executionState.duration_ms}ms +
{/if}
- - - {#if data.executionState?.duration_ms} -
- Duration: {data.executionState.duration_ms}ms -
- {/if} + import { workflowStore, executionStore, uiStore, type Execution } from '$lib/stores/workflow.svelte'; + import { pushState } from '$app/navigation'; import { Plus, GitBranch, History, Play, CheckCircle2, XCircle, Clock, Loader2, ArrowRight, Zap, TrendingUp, TrendingDown, Activity, Layers, RefreshCw, Sparkles, Search, Timer, @@ -77,7 +78,7 @@ url.searchParams.set('view', view); url.searchParams.delete('workflow'); if (params) Object.entries(params).forEach(([k, v]) => url.searchParams.set(k, v)); - window.history.pushState({}, '', url.toString()); + pushState(url.toString(), {}); } function goToWorkflows() { navigate('workflows'); } @@ -96,7 +97,7 @@ const url = new URL(window.location.href); url.searchParams.set('workflow', id); url.searchParams.delete('view'); - window.history.pushState({}, '', url.toString()); + pushState(url.toString(), {}); } function selectRun(run: Execution) { diff --git a/studio/frontend/src/lib/components/library/LibraryView.svelte b/studio/frontend/src/lib/components/library/LibraryView.svelte index 3cfe211f..3931865f 100644 --- a/studio/frontend/src/lib/components/library/LibraryView.svelte +++ b/studio/frontend/src/lib/components/library/LibraryView.svelte @@ -8,7 +8,7 @@ } from 'lucide-svelte'; import { recipeStore, RECIPE_CATEGORIES, type Recipe, type RecipeCategory } from '$lib/stores/recipe.svelte'; import { toolStore, TOOL_CATEGORIES, DEFAULT_TOOL_CODE, type Tool, type ToolCategory } from '$lib/stores/tool.svelte'; - import MonacoEditor from '$lib/components/editor/MonacoEditor.svelte'; + import MonacoEditor from '$lib/components/editor/LazyMonacoEditor.svelte'; import ConfirmationModal from '$lib/components/common/ConfirmationModal.svelte'; import RecipePreviewModal from './RecipePreviewModal.svelte'; diff --git a/studio/frontend/src/lib/components/library/ToolLibrary.svelte b/studio/frontend/src/lib/components/library/ToolLibrary.svelte index 0f0ae4b0..a952355c 100644 --- a/studio/frontend/src/lib/components/library/ToolLibrary.svelte +++ b/studio/frontend/src/lib/components/library/ToolLibrary.svelte @@ -5,7 +5,7 @@ Search, Plus, Wrench, Database, Globe, Puzzle, Trash2, Copy, Download, Upload, MoreVertical, X, Code, Edit3, Check } from 'lucide-svelte'; - import MonacoEditor from '$lib/components/editor/MonacoEditor.svelte'; + import MonacoEditor from '$lib/components/editor/LazyMonacoEditor.svelte'; import ConfirmModal from '$lib/components/common/ConfirmModal.svelte'; const dispatch = createEventDispatcher(); diff --git a/studio/frontend/src/lib/components/runs/RunComparisonView.svelte b/studio/frontend/src/lib/components/runs/RunComparisonView.svelte index 3c5c8cd8..5695f361 100644 --- a/studio/frontend/src/lib/components/runs/RunComparisonView.svelte +++ b/studio/frontend/src/lib/components/runs/RunComparisonView.svelte @@ -8,9 +8,11 @@ Trophy, Medal, Award, Target, Gauge, PieChart, Layers, ChevronDown, ArrowUpRight, ArrowDownRight, Equal } from 'lucide-svelte'; - import { Chart, registerables } from 'chart.js'; + import type { Chart as ChartType } from 'chart.js'; - Chart.register(...registerables); + // Chart.js will be lazy loaded + let ChartJS: typeof ChartType | null = null; + let chartJsLoaded = $state(false); interface Props { runs: Execution[]; @@ -37,14 +39,14 @@ let nodeLatencyCanvas: HTMLCanvasElement; // Chart instances - let metricsBarChart: Chart | null = null; - let tokenCompareChart: Chart | null = null; - let costCompareChart: Chart | null = null; - let latencyCompareChart: Chart | null = null; - let radarChart: Chart | null = null; - let modelTokensChart: Chart | null = null; - let modelLatencyChart: Chart | null = null; - let nodeLatencyChart: Chart | null = null; + let metricsBarChart: ChartType | null = null; + let tokenCompareChart: ChartType | null = null; + let costCompareChart: ChartType | null = null; + let latencyCompareChart: ChartType | null = null; + let radarChart: ChartType | null = null; + let modelTokensChart: ChartType | null = null; + let modelLatencyChart: ChartType | null = null; + let nodeLatencyChart: ChartType | null = null; // Status config const statusConfig: Record = { @@ -201,14 +203,22 @@ } // Initialize charts - function initCharts() { + async function initCharts() { + // Lazy load Chart.js if not already loaded + if (!ChartJS) { + const { Chart, registerables } = await import('chart.js'); + Chart.register(...registerables); + ChartJS = Chart; + chartJsLoaded = true; + } + const labels = runs.map((r, i) => getShortLabel(r)); const metrics = runs.map(getMetrics); // Metrics comparison bar chart if (metricsBarCanvas) { if (metricsBarChart) metricsBarChart.destroy(); - metricsBarChart = new Chart(metricsBarCanvas, { + metricsBarChart = new ChartJS(metricsBarCanvas, { type: 'bar', data: { labels, @@ -246,7 +256,7 @@ // Token distribution stacked bar if (tokenCompareCanvas) { if (tokenCompareChart) tokenCompareChart.destroy(); - tokenCompareChart = new Chart(tokenCompareCanvas, { + tokenCompareChart = new ChartJS(tokenCompareCanvas, { type: 'bar', data: { labels, @@ -277,7 +287,7 @@ // Cost comparison if (costCompareCanvas) { if (costCompareChart) costCompareChart.destroy(); - costCompareChart = new Chart(costCompareCanvas, { + costCompareChart = new ChartJS(costCompareCanvas, { type: 'bar', data: { labels, @@ -300,7 +310,7 @@ // Latency comparison if (latencyCompareCanvas) { if (latencyCompareChart) latencyCompareChart.destroy(); - latencyCompareChart = new Chart(latencyCompareCanvas, { + latencyCompareChart = new ChartJS(latencyCompareCanvas, { type: 'bar', data: { labels, @@ -330,7 +340,7 @@ const maxRequests = Math.max(...metrics.map(m => m.requests)) || 1; if (radarChart) radarChart.destroy(); - radarChart = new Chart(radarCanvas, { + radarChart = new ChartJS(radarCanvas, { type: 'radar', data: { labels: ['Speed', 'Token Efficiency', 'Cost Efficiency', 'Success Rate', 'Throughput'], @@ -373,7 +383,7 @@ })); if (modelTokensChart) modelTokensChart.destroy(); - modelTokensChart = new Chart(modelTokensCanvas, { + modelTokensChart = new ChartJS(modelTokensCanvas, { type: 'bar', data: { labels, datasets }, options: { @@ -398,7 +408,7 @@ })); if (modelLatencyChart) modelLatencyChart.destroy(); - modelLatencyChart = new Chart(modelLatencyCanvas, { + modelLatencyChart = new ChartJS(modelLatencyCanvas, { type: 'bar', data: { labels, datasets }, options: { @@ -428,7 +438,7 @@ })); if (nodeLatencyChart) nodeLatencyChart.destroy(); - nodeLatencyChart = new Chart(nodeLatencyCanvas, { + nodeLatencyChart = new ChartJS(nodeLatencyCanvas, { type: 'bar', data: { labels, datasets }, options: { diff --git a/studio/frontend/src/lib/components/runs/RunDetailsView.svelte b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte index 3224ff8a..b5b809e4 100644 --- a/studio/frontend/src/lib/components/runs/RunDetailsView.svelte +++ b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte @@ -1,5 +1,6 @@ diff --git a/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte index 6b5df5be..02cf6536 100644 --- a/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte +++ b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte @@ -1,5 +1,6 @@ + +{#snippet loadingSpinner()} +
+
+ + Loading... +
+
+{/snippet} + {#if currentView === 'builder'}
@@ -299,10 +400,11 @@
- {#if selectedNodeId && currentWorkflow} + {#if selectedNodeId && currentWorkflow && NodeDetailsPanel} {@const selectedNode = currentWorkflow.nodes.find(n => n.id === selectedNodeId)} {#if selectedNode} - uiStore.selectNode(null)} @@ -310,8 +412,9 @@ on:delete={handleBuilderNodeDelete} /> {/if} - {:else if selectedEdge && currentWorkflow} - n.id === selectedEdge.source)} targetNode={currentWorkflow.nodes.find(n => n.id === selectedEdge.target)} @@ -324,8 +427,9 @@
- {#if currentWorkflow && !currentWorkflow.id.startsWith('new_')} -
- + {#if HomeView} + + {:else} + {@render loadingSpinner()} + {/if}
{:else if currentView === 'runs'}
- {#if selectedRun} + {#if selectedRun && RunDetailsView} - - {:else} + + {:else if RunsListView} - + + {:else} + {@render loadingSpinner()} {/if}
{:else if currentView === 'workflows'}
- + {#if WorkflowsListView} + + {:else} + {@render loadingSpinner()} + {/if}
{:else if currentView === 'library'}
- { - const recipe = e.detail.recipe; - console.log('[Add to Workflow] Recipe:', recipe.name, 'Nodes:', recipe.nodes?.length, 'Edges:', recipe.edges?.length); - - // Validate recipe has nodes - if (!recipe.nodes || recipe.nodes.length === 0) { - console.error('[Add to Workflow] Recipe has no nodes!'); - return; - } - - // Check if we have an existing workflow to append to - const existingWorkflow = workflowStore.currentWorkflow; - if (!existingWorkflow) { - console.log('[Add to Workflow] Creating new workflow...'); - workflowStore.createNewWorkflow(); - } else { - console.log('[Add to Workflow] Appending to existing workflow:', existingWorkflow.name, 'with', existingWorkflow.nodes.length, 'nodes'); - } - - // Add recipe nodes and edges to the current workflow as a subgraph - const result = workflowStore.addRecipeToWorkflow(recipe.nodes, recipe.edges, undefined, recipe.name); - console.log('[Add to Workflow] Added subgraph, result:', result); - - // Switch to builder to see the result - uiStore.setView('builder'); - console.log('[Add to Workflow] Switched to builder view'); - - // Wait for the DOM to update (WorkflowBuilder needs to mount) - await tick(); - await tick(); // Double tick to ensure full render cycle - - // Sync the builder after it has mounted - if (workflowBuilderRef) { - workflowBuilderRef.syncNodesFromStore(); - workflowBuilderRef.syncEdgesFromStore(); - console.log('[Add to Workflow] Synced builder'); - } else { - console.log('[Add to Workflow] No builder ref yet, relying on $effect'); - } - }} - /> + {#if LibraryView} + { + const recipe = e.detail.recipe; + console.log('[Add to Workflow] Recipe:', recipe.name, 'Nodes:', recipe.nodes?.length, 'Edges:', recipe.edges?.length); + + // Validate recipe has nodes + if (!recipe.nodes || recipe.nodes.length === 0) { + console.error('[Add to Workflow] Recipe has no nodes!'); + return; + } + + // Check if we have an existing workflow to append to + const existingWorkflow = workflowStore.currentWorkflow; + if (!existingWorkflow) { + console.log('[Add to Workflow] Creating new workflow...'); + workflowStore.createNewWorkflow(); + } else { + console.log('[Add to Workflow] Appending to existing workflow:', existingWorkflow.name, 'with', existingWorkflow.nodes.length, 'nodes'); + } + + // Add recipe nodes and edges to the current workflow as a subgraph + const result = workflowStore.addRecipeToWorkflow(recipe.nodes, recipe.edges, undefined, recipe.name); + console.log('[Add to Workflow] Added subgraph, result:', result); + + // Switch to builder to see the result + uiStore.setView('builder'); + console.log('[Add to Workflow] Switched to builder view'); + + // Wait for the DOM to update (WorkflowBuilder needs to mount) + await tick(); + await tick(); // Double tick to ensure full render cycle + + // Sync the builder after it has mounted + if (workflowBuilderRef) { + workflowBuilderRef.syncNodesFromStore(); + workflowBuilderRef.syncEdgesFromStore(); + console.log('[Add to Workflow] Synced builder'); + } else { + console.log('[Add to Workflow] No builder ref yet, relying on $effect'); + } + }} + /> + {:else} + {@render loadingSpinner()} + {/if}
{:else if currentView === 'models'}
- + {#if ModelsView} + + {:else} + {@render loadingSpinner()} + {/if}
{:else} @@ -463,14 +586,17 @@
- {#if currentWorkflow} - + {:else if currentWorkflow && !SygraFlow} + {@render loadingSpinner()} {:else}
@@ -489,8 +615,9 @@
- {#if selectedNodeId && currentWorkflow} - n.id === selectedNodeId)} nodeState={currentExecution?.node_states[selectedNodeId]} on:close={() => uiStore.selectNode(null)} @@ -498,9 +625,10 @@ {/if} - {#if selectedEdge && currentWorkflow} + {#if selectedEdge && currentWorkflow && EdgeDetailsPanel} {@const edge = selectedEdge} - n.id === edge.source)} targetNode={currentWorkflow.nodes.find(n => n.id === edge.target)} @@ -510,8 +638,9 @@
- {#if currentWorkflow} - - {#if currentExecution} - + {#if currentExecution && ExecutionPanel} + {/if}
- {#if showRunModal && currentWorkflow} - {/if} - {#if showResultsModal && currentExecution} - uiStore.closeResultsModal()} /> diff --git a/studio/frontend/src/styles/global.css b/studio/frontend/src/styles/global.css index 75bc03f5..6de0d880 100644 --- a/studio/frontend/src/styles/global.css +++ b/studio/frontend/src/styles/global.css @@ -67,6 +67,33 @@ border-radius: 0.75rem; } +/* Hide SvelteFlow attribution */ +.svelte-flow__attribution { + display: none !important; +} + +/* SvelteFlow Controls dark mode */ +.dark .svelte-flow__controls { + background: #1e293b; + border: 1px solid #334155; + box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.3), 0 2px 4px -2px rgba(0, 0, 0, 0.2); +} + +.dark .svelte-flow__controls-button { + background: #1e293b; + border-bottom: 1px solid #334155; + fill: #94a3b8; +} + +.dark .svelte-flow__controls-button:hover { + background: #334155; + fill: #e2e8f0; +} + +.dark .svelte-flow__controls-button:last-child { + border-bottom: none; +} + /* MiniMap interactivity */ .svelte-flow__panel.bottom.left { z-index: 10; diff --git a/studio/frontend/svelte.config.js b/studio/frontend/svelte.config.js index 1212d5fe..a1b35bc6 100644 --- a/studio/frontend/svelte.config.js +++ b/studio/frontend/svelte.config.js @@ -23,7 +23,7 @@ const config = { pages: 'build', assets: 'build', fallback: 'index.html', - precompress: false, + precompress: true, strict: true }), paths: { diff --git a/studio/frontend/vite.config.js b/studio/frontend/vite.config.js index e224075f..27b7e839 100644 --- a/studio/frontend/vite.config.js +++ b/studio/frontend/vite.config.js @@ -18,5 +18,23 @@ export default defineConfig({ }, optimizeDeps: { include: ['monaco-editor'] + }, + build: { + rollupOptions: { + output: { + manualChunks(id) { + // Split heavy vendor libraries into separate chunks + if (id.includes('chart.js')) { + return 'vendor-chartjs'; + } + if (id.includes('@xyflow/svelte') || id.includes('@xyflow/system')) { + return 'vendor-xyflow'; + } + if (id.includes('d3-dag') || id.includes('d3-array') || id.includes('d3-shape')) { + return 'vendor-d3'; + } + } + } + } } }); From e8a8b371539190e383632da0f0fc3be78ab9b599 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Fri, 26 Dec 2025 00:17:07 +0530 Subject: [PATCH 05/20] fix: graph save flow --- .../builder/SaveWorkflowModal.svelte | 139 ++++++++---------- .../components/builder/WorkflowBuilder.svelte | 16 +- 2 files changed, 73 insertions(+), 82 deletions(-) diff --git a/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte b/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte index b36d5b31..f4b29643 100644 --- a/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte +++ b/studio/frontend/src/lib/components/builder/SaveWorkflowModal.svelte @@ -1,6 +1,6 @@ + + + +
+ + + {#if showDropdown} +
+ + + + +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/graph/SygraFlow.svelte b/studio/frontend/src/lib/components/graph/SygraFlow.svelte index e1094d86..bd2d5a89 100644 --- a/studio/frontend/src/lib/components/graph/SygraFlow.svelte +++ b/studio/frontend/src/lib/components/graph/SygraFlow.svelte @@ -17,6 +17,7 @@ import { writable, get, derived } from 'svelte/store'; import { createEventDispatcher, tick } from 'svelte'; import { workflowStore, type Workflow, type Execution } from '$lib/stores/workflow.svelte'; + import { Map as MapIcon, EyeOff } from 'lucide-svelte'; // Node components import StartNode from './renderers/nodes/StartNode.svelte'; @@ -38,6 +39,9 @@ // FitView helper (must be inside SvelteFlow to use useSvelteFlow hook) import FitViewHelper from './FitViewHelper.svelte'; + // Export helper (must be inside SvelteFlow to use useSvelteFlow hook) + import ExportHelper from './ExportHelper.svelte'; + // Import SvelteFlow styles import '@xyflow/svelte/dist/style.css'; @@ -48,6 +52,9 @@ let { workflow, execution = null }: Props = $props(); + // Minimap visibility state + let showMinimap = $state(true); + const dispatch = createEventDispatcher<{ nodeSelect: string; edgeSelect: { @@ -460,6 +467,11 @@ + + + + + - nodeColors[node.type ?? 'llm'] ?? '#6b7280'} - bgColor={isDarkMode ? '#1e293b' : '#ffffff'} - maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} - maskStrokeColor={isDarkMode ? '#475569' : '#cbd5e1'} - maskStrokeWidth={1} - pannable={true} - zoomable={true} - /> + + +
+ + + + + {#if showMinimap} +
+ nodeColors[node.type ?? 'llm'] ?? '#6b7280'} + bgColor={isDarkMode ? '#1e293b' : '#ffffff'} + maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} + maskStrokeColor={isDarkMode ? '#475569' : '#cbd5e1'} + maskStrokeWidth={1} + pannable={true} + zoomable={true} + class="!relative !m-0" + /> +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunExecutionGraph.svelte b/studio/frontend/src/lib/components/runs/RunExecutionGraph.svelte index 6b25334f..1ccef4e9 100644 --- a/studio/frontend/src/lib/components/runs/RunExecutionGraph.svelte +++ b/studio/frontend/src/lib/components/runs/RunExecutionGraph.svelte @@ -19,7 +19,8 @@ import { autoLayout } from '$lib/utils/layoutUtils'; import { CheckCircle2, XCircle, Clock, Loader2, Ban, AlertTriangle, - GitBranch, Timer, ChevronRight, Activity, LayoutGrid + GitBranch, Timer, ChevronRight, Activity, LayoutGrid, + Map as MapIcon, EyeOff } from 'lucide-svelte'; // Reuse the same node components as SygraFlow for consistency @@ -58,6 +59,9 @@ // Selected node in timeline let selectedNodeId = $state(null); + // Minimap visibility state + let showMinimap = $state(true); + // Node type mapping - same as SygraFlow const nodeTypes = { data: DataNode, @@ -354,16 +358,39 @@ bgColor={isDarkMode ? '#1e293b' : '#f9fafb'} patternColor={isDarkMode ? '#334155' : '#e5e7eb'} /> - nodeColors[node.type ?? 'llm'] ?? '#6b7280'} - bgColor={isDarkMode ? '#1e293b' : '#ffffff'} - maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} - pannable={true} - zoomable={true} - /> + + +
+ + + + + {#if showMinimap} +
+ nodeColors[node.type ?? 'llm'] ?? '#6b7280'} + bgColor={isDarkMode ? '#1e293b' : '#ffffff'} + maskColor={isDarkMode ? 'rgba(30, 41, 59, 0.6)' : 'rgba(240, 240, 240, 0.6)'} + pannable={true} + zoomable={true} + class="!relative !m-0" + /> +
+ {/if} +
+
{/if}
diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index 791e2a9c..b58ac4ff 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -117,6 +117,20 @@ const _v = workflowStore.workflowVersion; return workflowStore.currentWorkflow; }); + + // Track workflow ID to detect workflow switches + let previousWorkflowId = $state(null); + + // Clear execution state when switching to a different workflow + $effect(() => { + const currentId = currentWorkflow?.id ?? null; + if (previousWorkflowId !== null && currentId !== previousWorkflowId) { + // Workflow changed - clear the execution state + executionStore.clearExecution(); + } + previousWorkflowId = currentId; + }); + let currentExecution = $derived(executionStore.currentExecution); let selectedNodeId = $derived(uiStore.selectedNodeId); let showResultsModal = $derived(uiStore.showResultsModal); From 0f50688ffb06ab7516bea4f580c5a84decb9bb42 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Fri, 26 Dec 2025 12:56:29 +0530 Subject: [PATCH 07/20] feat: add scalable execution storage and improve UI consistency --- studio/api.py | 246 ++++++++++++++---- .../lib/components/library/LibraryView.svelte | 117 +++++---- .../lib/components/library/ToolLibrary.svelte | 92 +++---- .../lib/components/runs/RunsListView.svelte | 43 ++- .../runs/RunsListViewEnhanced.svelte | 2 +- .../src/lib/stores/workflow.svelte.ts | 135 ++++++++-- 6 files changed, 478 insertions(+), 157 deletions(-) diff --git a/studio/api.py b/studio/api.py index a650df79..8c9c05ef 100644 --- a/studio/api.py +++ b/studio/api.py @@ -47,11 +47,23 @@ WorkflowListItem, WorkflowSaveResponse, ) +from studio.execution_storage import get_storage, ExecutionStorage -# Store for active executions +# Store for active executions (in-memory cache for running executions) +# Persistent storage is handled by ExecutionStorage class _executions: Dict[str, WorkflowExecution] = {} +# Scalable execution storage instance (lazy initialized) +_execution_storage: ExecutionStorage = None + +def _get_execution_storage() -> ExecutionStorage: + """Get the execution storage instance (lazy initialization).""" + global _execution_storage + if _execution_storage is None: + _execution_storage = get_storage() + return _execution_storage + # Store for discovered workflows _workflows: Dict[str, WorkflowGraph] = {} @@ -335,16 +347,25 @@ class DebugAction(BaseModel): def _save_executions(): - """Save executions to persistent storage.""" + """ + Save executions to persistent storage using the new scalable storage. + + Also cleans up completed executions from in-memory dict to prevent memory leaks. + """ try: - # Only save completed/failed/cancelled executions (not running ones) - to_save = { - k: v.model_dump(mode='json') - for k, v in _executions.items() - if v.status in ('completed', 'failed', 'cancelled') - } - with open(_EXECUTIONS_FILE, 'w') as f: - json_module.dump(to_save, f, default=str) + storage = _get_execution_storage() + to_remove = [] + + # Save completed/failed/cancelled executions to scalable storage + for exec_id, execution in _executions.items(): + if execution.status in (ExecutionStatus.COMPLETED, ExecutionStatus.FAILED, ExecutionStatus.CANCELLED): + storage.save_execution(execution) + to_remove.append(exec_id) + + # Clean up from in-memory dict after saving to storage + for exec_id in to_remove: + del _executions[exec_id] + except Exception as e: print(f"Warning: Failed to save executions: {e}") @@ -352,32 +373,28 @@ def _save_executions(): _executions_loaded = False def _load_executions(): - """Load executions from persistent storage.""" - global _executions, _executions_loaded + """ + Initialize execution storage (will automatically migrate from legacy format if needed). + + This function now delegates to the scalable ExecutionStorage class which: + - Uses per-run files instead of a monolithic JSON + - Maintains a lightweight index for fast listing + - Supports pagination and lazy loading + - Automatically migrates from legacy .executions_history.json + """ + global _executions_loaded # Prevent duplicate loading if _executions_loaded: return _executions_loaded = True - if _EXECUTIONS_FILE.exists(): - try: - with open(_EXECUTIONS_FILE, 'r') as f: - data = json_module.load(f) - for exec_id, exec_data in data.items(): - try: - # Convert node_states dict values to NodeExecutionState objects - if 'node_states' in exec_data and exec_data['node_states']: - exec_data['node_states'] = { - k: NodeExecutionState(**v) if isinstance(v, dict) else v - for k, v in exec_data['node_states'].items() - } - # Reconstruct WorkflowExecution objects - _executions[exec_id] = WorkflowExecution(**exec_data) - except Exception as item_err: - pass # Silently skip invalid executions - except Exception: - pass # Silently handle load failures + # Initialize storage (handles migration from legacy format automatically) + storage = _get_execution_storage() + + # Note: We no longer load all executions into memory. + # Executions are loaded on-demand via storage.get_execution() + # and listed via storage.list_executions() with pagination. async def _process_execution_queue(): @@ -1091,13 +1108,22 @@ async def get_execution(execution_id: str): """ Get execution status and details. + First checks in-memory cache (for running executions), then storage (for completed). + Args: execution_id: The execution ID to retrieve. """ - if execution_id not in _executions: - raise HTTPException(status_code=404, detail=f"Execution {execution_id} not found") + # First check in-memory cache (for running/pending executions) + if execution_id in _executions: + return _executions[execution_id] - return _executions[execution_id] + # Then check scalable storage (for completed/failed/cancelled) + storage = _get_execution_storage() + execution = storage.get_execution(execution_id) + if execution: + return execution + + raise HTTPException(status_code=404, detail=f"Execution {execution_id} not found") @app.post("/api/executions/{execution_id}/cancel") async def cancel_execution(execution_id: str): @@ -1139,32 +1165,164 @@ async def cancel_execution(execution_id: str): return {"status": "cancelled", "execution_id": execution_id} - @app.get("/api/executions", response_model=List[WorkflowExecution]) + @app.get("/api/executions") async def list_executions( workflow_id: Optional[str] = None, status: Optional[ExecutionStatus] = None, limit: int = 50, + offset: int = 0, ): """ - List workflow executions with optional filtering. + List workflow executions with optional filtering and pagination. + + Uses scalable storage with per-run files for efficient handling of large datasets. Args: workflow_id: Filter by workflow ID. status: Filter by execution status. - limit: Maximum number of results. + limit: Maximum number of results (default 50). + offset: Number of results to skip for pagination (default 0). + + Returns: + Dict with executions list, total count, pagination info. + """ + storage = _get_execution_storage() + status_str = status.value if status else None + + # Get paginated executions from storage + executions, total = storage.list_executions_full( + workflow_id=workflow_id, + status=status_str, + limit=limit, + offset=offset, + ) + + # Also include currently running executions from in-memory cache + # (they may not be persisted to storage yet) + running_executions = [] + for exec_id, exec in _executions.items(): + if exec.status in (ExecutionStatus.RUNNING, ExecutionStatus.PENDING): + # Apply filters + if workflow_id and exec.workflow_id != workflow_id: + continue + if status_str and exec.status.value != status_str: + continue + # Check if not already in list (avoid duplicates) + if not any(e.id == exec_id for e in executions): + running_executions.append(exec) + + # Merge running executions at the top if on first page + if offset == 0 and running_executions: + # Sort running executions by start time + running_executions.sort(key=lambda e: e.started_at or datetime.min, reverse=True) + executions = running_executions + executions + total += len(running_executions) + + return { + "executions": executions, + "total": total, + "limit": limit, + "offset": offset, + "has_more": (offset + len(executions)) < total, + } + + @app.post("/api/executions/storage/refresh") + async def refresh_execution_storage(): + """ + Refresh the execution storage index. + + Detects files deleted or added externally and updates the index. + Call this after manually modifying files on disk. + + Returns: + Number of changes detected. + """ + storage = _get_execution_storage() + changes = storage.refresh_index() + + return { + "status": "refreshed", + "changes_detected": changes, + "total_executions": len(storage._index_cache) + } + + @app.get("/api/executions/storage/stats") + async def get_execution_storage_stats(): + """ + Get execution storage statistics. + + Useful for monitoring and debugging storage health. + """ + storage = _get_execution_storage() + stats = storage.get_stats() + + # Add info about in-memory executions + stats["in_memory_executions"] = len(_executions) + stats["in_memory_running"] = sum( + 1 for e in _executions.values() + if e.status in (ExecutionStatus.RUNNING, ExecutionStatus.PENDING) + ) + + return stats + + @app.delete("/api/executions/{execution_id}") + async def delete_execution(execution_id: str): """ - executions = list(_executions.values()) + Delete an execution from storage. - if workflow_id: - executions = [e for e in executions if e.workflow_id == workflow_id] + Removes both the per-run file and index entry. - if status: - executions = [e for e in executions if e.status == status] + Args: + execution_id: The execution ID to delete. + + Returns: + Success status and message. + """ + # Remove from in-memory cache if present + if execution_id in _executions: + del _executions[execution_id] + + # Remove from storage + storage = _get_execution_storage() + success = storage.delete_execution(execution_id) - # Sort by start time, newest first - executions.sort(key=lambda e: e.started_at or datetime.min, reverse=True) + if not success: + raise HTTPException(status_code=404, detail=f"Execution {execution_id} not found") + + return {"status": "deleted", "execution_id": execution_id} + + @app.delete("/api/executions") + async def delete_multiple_executions(execution_ids: List[str]): + """ + Delete multiple executions from storage. - return executions[:limit] + Args: + execution_ids: List of execution IDs to delete. + + Returns: + Success status with count of deleted executions. + """ + storage = _get_execution_storage() + deleted_count = 0 + failed_ids = [] + + for exec_id in execution_ids: + # Remove from in-memory cache if present + if exec_id in _executions: + del _executions[exec_id] + + # Remove from storage + if storage.delete_execution(exec_id): + deleted_count += 1 + else: + failed_ids.append(exec_id) + + return { + "status": "deleted", + "deleted_count": deleted_count, + "total_requested": len(execution_ids), + "failed_ids": failed_ids + } @app.get("/api/tasks") async def list_task_directories(): diff --git a/studio/frontend/src/lib/components/library/LibraryView.svelte b/studio/frontend/src/lib/components/library/LibraryView.svelte index 3931865f..f053bfca 100644 --- a/studio/frontend/src/lib/components/library/LibraryView.svelte +++ b/studio/frontend/src/lib/components/library/LibraryView.svelte @@ -11,6 +11,7 @@ import MonacoEditor from '$lib/components/editor/LazyMonacoEditor.svelte'; import ConfirmationModal from '$lib/components/common/ConfirmationModal.svelte'; import RecipePreviewModal from './RecipePreviewModal.svelte'; + import CustomSelect from '$lib/components/common/CustomSelect.svelte'; const dispatch = createEventDispatcher<{ addRecipe: { recipe: Recipe }; @@ -155,7 +156,26 @@ e.preventDefault(); e.stopPropagation(); contextMenuId = id; - contextMenuPosition = { x: e.clientX, y: e.clientY }; + + // Calculate position with viewport boundary detection + const menuWidth = 160; + const menuHeight = 200; // Approximate menu height + const padding = 8; + + let x = e.clientX; + let y = e.clientY; + + // Adjust if menu would go off right edge + if (x + menuWidth + padding > window.innerWidth) { + x = window.innerWidth - menuWidth - padding; + } + + // Adjust if menu would go off bottom edge + if (y + menuHeight + padding > window.innerHeight) { + y = window.innerHeight - menuHeight - padding; + } + + contextMenuPosition = { x, y }; } function hideContextMenu() { @@ -423,9 +443,9 @@
-
+
{#if currentItems.length === 0} -
+
{#if activeTab === 'recipes'} {:else} @@ -459,7 +479,7 @@
{:else if viewMode === 'card'} -
+
{#each currentItems as item (item.id)} {@const isRecipe = activeTab === 'recipes'} {@const Icon = isRecipe ? recipeCategoryIcons[(item as Recipe).category] : toolCategoryIcons[(item as Tool).category]} @@ -520,7 +540,7 @@ - - - - - - + + + + + @@ -545,7 +565,7 @@ {@const color = getCategoryColor(isRecipe ? (item as Recipe).category : (item as Tool).category, isRecipe ? 'recipe' : 'tool')} {@const catLabel = isRecipe ? RECIPE_CATEGORIES.find(c => c.value === (item as Recipe).category)?.label : TOOL_CATEGORIES.find(c => c.value === (item as Tool).category)?.label} isRecipe ? (previewRecipe = item as Recipe) : handleEdit(item.id)}> - - - - + - - + {:else} -
+ NameCategory{activeTab === 'recipes' ? 'Nodes' : 'Path'}UpdatedActionsNameCategory{activeTab === 'recipes' ? 'Nodes' : 'Path'}UpdatedActions
+ +
-
- +
+
-
-
{item.name}
+
+ {item.name} {#if item.description} -
{item.description}
+ {item.description} {/if}
{catLabel} + {catLabel} {#if isRecipe} - {(item as Recipe).nodeCount} + {(item as Recipe).nodeCount} nodes {:else} {(item as Tool).import_path} {/if} {formatDate(item.updatedAt)} + {formatDate(item.updatedAt)}
{#if isRecipe} - {:else} - {/if} -
@@ -635,34 +655,39 @@ -
+ +
-
+
- + ({ value: c.value, label: c.label }))} + bind:value={toolFormCategory} + placeholder="Select category" + searchable={false} + />
-
- - -
-
- - -
-
- -
- +
+
+ +
+
+ + +
+
+
+ +
+ +
+
diff --git a/studio/frontend/src/lib/components/library/ToolLibrary.svelte b/studio/frontend/src/lib/components/library/ToolLibrary.svelte index a952355c..1159e9eb 100644 --- a/studio/frontend/src/lib/components/library/ToolLibrary.svelte +++ b/studio/frontend/src/lib/components/library/ToolLibrary.svelte @@ -7,6 +7,7 @@ } from 'lucide-svelte'; import MonacoEditor from '$lib/components/editor/LazyMonacoEditor.svelte'; import ConfirmModal from '$lib/components/common/ConfirmModal.svelte'; + import CustomSelect from '$lib/components/common/CustomSelect.svelte'; const dispatch = createEventDispatcher(); @@ -392,8 +393,8 @@
- -
+ +
-
+
- + placeholder="Select category" + searchable={false} + />
-
- - +
+
+ + +
+
+ + +
+
-
- - +
+ +
+ -

The Python import path where this tool will be available

-
- -
- -
- -
-

- Define your tool using the @tool decorator from langchain -

+

+ Define your tool using the @tool decorator from langchain +

diff --git a/studio/frontend/src/lib/components/runs/RunsListView.svelte b/studio/frontend/src/lib/components/runs/RunsListView.svelte index de7fd924..37498281 100644 --- a/studio/frontend/src/lib/components/runs/RunsListView.svelte +++ b/studio/frontend/src/lib/components/runs/RunsListView.svelte @@ -12,6 +12,9 @@ import RunTimelineBar from './RunTimelineBar.svelte'; let executionHistory = $derived(executionStore.executionHistory); + let totalExecutions = $derived(executionStore.totalExecutions); + let hasMoreExecutions = $derived(executionStore.hasMoreExecutions); + let isLoadingMore = $derived(executionStore.isLoadingMore); let workflows = $derived(workflowStore.workflows); let selectedRunId = $derived(uiStore.selectedRunId); @@ -189,7 +192,12 @@ } async function refresh() { - await executionStore.loadExecutionHistory(); + // Force refresh to detect files added/deleted externally on disk + await executionStore.loadExecutionHistory(undefined, 50, true); + } + + async function loadMore() { + await executionStore.loadMoreExecutions(); } function formatDate(date?: string): string { @@ -274,8 +282,11 @@ showDeleteConfirm = true; } - function confirmDeleteRuns() { - executionStore.removeMultipleFromHistory(Array.from(selectedRunIds)); + async function confirmDeleteRuns() { + const success = await executionStore.removeMultipleFromHistory(Array.from(selectedRunIds)); + if (!success) { + console.error('Some executions failed to delete'); + } selectedRunIds = new Set(); showDeleteConfirm = false; deleteCount = 0; @@ -306,7 +317,10 @@

Runs

- {filteredRuns().length} of {executionHistory.length} runs + {filteredRuns().length} of {totalExecutions || executionHistory.length} runs + {#if hasMoreExecutions} + (more available) + {/if} {#if selectionCount > 0} โ€ข {selectionCount} selected {/if} @@ -764,7 +778,7 @@

+
{#if searchQuery || statusFilter !== 'all'}

No matching runs

@@ -779,6 +793,25 @@ {/each}
+ + + {#if hasMoreExecutions} +
+ +
+ {/if}
{/if}
diff --git a/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte index 18fa54e1..e446ea36 100644 --- a/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte +++ b/studio/frontend/src/lib/components/runs/RunsListViewEnhanced.svelte @@ -306,7 +306,7 @@ } async function refresh() { - await executionStore.loadExecutionHistory(); + await executionStore.loadExecutionHistory(undefined, 50, true); } function formatDate(date?: string): string { diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 880b9523..5cf605cd 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -1331,6 +1331,12 @@ function createExecutionStore() { let currentPollingId: string | null = null; let isPaused = $state(false); + // Pagination state + let totalExecutions = $state(0); + let hasMoreExecutions = $state(false); + let isLoadingMore = $state(false); + const PAGE_SIZE = 50; + // Adaptive polling intervals const POLL_INTERVAL_FAST = 1000; // 1 second when running const POLL_INTERVAL_SLOW = 3000; // 3 seconds when pending/starting @@ -1341,6 +1347,9 @@ function createExecutionStore() { get executionHistory() { return executionHistory; }, get isPolling() { return isPolling; }, get isPaused() { return isPaused; }, + get totalExecutions() { return totalExecutions; }, + get hasMoreExecutions() { return hasMoreExecutions; }, + get isLoadingMore() { return isLoadingMore; }, async startExecution(workflowId: string, options: ExecutionOptions) { try { @@ -1493,20 +1502,70 @@ function createExecutionStore() { currentExecution = null; }, - async loadExecutionHistory(workflowId?: string) { + async loadExecutionHistory(workflowId?: string, limit: number = PAGE_SIZE, forceRefresh: boolean = false) { try { + // Optionally refresh the storage index first (detects files added/deleted externally) + if (forceRefresh) { + await fetch(`${API_BASE}/executions/storage/refresh`, { method: 'POST' }); + } + const url = workflowId - ? `${API_BASE}/executions?workflow_id=${workflowId}` - : `${API_BASE}/executions`; + ? `${API_BASE}/executions?workflow_id=${workflowId}&limit=${limit}` + : `${API_BASE}/executions?limit=${limit}`; const response = await fetch(url); if (response.ok) { - executionHistory = await response.json(); + const data = await response.json(); + // Handle both new paginated response and legacy array response + if (Array.isArray(data)) { + // Legacy response format (backward compatibility) + executionHistory = data; + totalExecutions = data.length; + hasMoreExecutions = false; + } else { + // New paginated response format + executionHistory = data.executions || []; + totalExecutions = data.total || 0; + hasMoreExecutions = data.has_more || false; + } } } catch (e) { console.error('Failed to load execution history:', e); } }, + async loadMoreExecutions(workflowId?: string) { + if (!hasMoreExecutions || isLoadingMore) return; + + isLoadingMore = true; + try { + const offset = executionHistory.length; + const params = new URLSearchParams({ + limit: String(PAGE_SIZE), + offset: String(offset) + }); + if (workflowId) { + params.set('workflow_id', workflowId); + } + + const url = `${API_BASE}/executions?${params.toString()}`; + const response = await fetch(url); + if (response.ok) { + const data = await response.json(); + if (!Array.isArray(data)) { + // Append new executions to existing list + const newExecutions = data.executions || []; + executionHistory = [...executionHistory, ...newExecutions]; + totalExecutions = data.total || executionHistory.length; + hasMoreExecutions = data.has_more || false; + } + } + } catch (e) { + console.error('Failed to load more executions:', e); + } finally { + isLoadingMore = false; + } + }, + async getExecution(executionId: string): Promise { try { const response = await fetch(`${API_BASE}/executions/${executionId}`); @@ -1536,20 +1595,66 @@ function createExecutionStore() { currentExecution = execution; }, - removeFromHistory(executionId: string) { - executionHistory = executionHistory.filter(e => e.id !== executionId); - // If the current execution is being removed, clear it - if (currentExecution?.id === executionId) { - currentExecution = null; + async removeFromHistory(executionId: string): Promise { + try { + // Call API to delete from disk storage + const response = await fetch(`${API_BASE}/executions/${executionId}`, { + method: 'DELETE' + }); + + if (!response.ok) { + console.error('Failed to delete execution from storage:', await response.text()); + return false; + } + + // Update local state + executionHistory = executionHistory.filter(e => e.id !== executionId); + totalExecutions = Math.max(0, totalExecutions - 1); + + // If the current execution is being removed, clear it + if (currentExecution?.id === executionId) { + currentExecution = null; + } + + return true; + } catch (e) { + console.error('Failed to delete execution:', e); + return false; } }, - removeMultipleFromHistory(executionIds: string[]) { - const idsSet = new Set(executionIds); - executionHistory = executionHistory.filter(e => !idsSet.has(e.id)); - // If the current execution is being removed, clear it - if (currentExecution && idsSet.has(currentExecution.id)) { - currentExecution = null; + async removeMultipleFromHistory(executionIds: string[]): Promise { + if (executionIds.length === 0) return true; + + try { + // Call API to delete multiple executions from disk storage + const response = await fetch(`${API_BASE}/executions`, { + method: 'DELETE', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(executionIds) + }); + + if (!response.ok) { + console.error('Failed to delete executions from storage:', await response.text()); + return false; + } + + const result = await response.json(); + + // Update local state + const idsSet = new Set(executionIds); + executionHistory = executionHistory.filter(e => !idsSet.has(e.id)); + totalExecutions = Math.max(0, totalExecutions - result.deleted_count); + + // If the current execution is being removed, clear it + if (currentExecution && idsSet.has(currentExecution.id)) { + currentExecution = null; + } + + return result.deleted_count === executionIds.length; + } catch (e) { + console.error('Failed to delete executions:', e); + return false; } } }; From db96de834e2f02355d391d468b9472f150bb50e1 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Sun, 28 Dec 2025 22:43:51 +0530 Subject: [PATCH 08/20] feat: redesign sidebar with output_keys, navigation, and panel components --- .gitignore | 1 + studio/api.py | 102 ++ studio/execution_storage.py | 622 +++++++++ .../components/builder/WorkflowBuilder.svelte | 48 +- .../components/graph/EdgeDetailsPanel.svelte | 201 ++- .../components/graph/NodeDetailsPanel.svelte | 1229 +++++++++++++---- .../src/lib/components/graph/SygraFlow.svelte | 440 ++++-- .../graph/renderers/edges/SygraEdge.svelte | 131 +- .../graph/renderers/nodes/SubgraphNode.svelte | 166 ++- .../lib/components/models/ModelsView.svelte | 651 ++++++++- .../components/panel/ConnectionPreview.svelte | 179 +++ .../lib/components/panel/PanelHeader.svelte | 263 ++++ .../lib/components/panel/PanelSection.svelte | 91 ++ .../src/lib/components/panel/PanelTabs.svelte | 88 ++ .../lib/components/runs/RunDetailsView.svelte | 118 +- .../runs/RunDetailsViewEnhanced.svelte | 163 ++- .../src/lib/components/sidebar/Sidebar.svelte | 27 +- .../frontend/src/lib/stores/panel.svelte.ts | 160 +++ .../src/lib/stores/workflow.svelte.ts | 103 +- studio/frontend/src/lib/utils/layoutUtils.ts | 201 ++- studio/frontend/src/routes/+layout.ts | 8 + studio/frontend/src/routes/+page.svelte | 103 ++ studio/frontend/static/favicon.png | Bin 0 -> 70 bytes studio/graph_builder.py | 155 ++- studio/models.py | 1 + sygra/metadata/metadata_collector.py | 13 + 26 files changed, 4636 insertions(+), 628 deletions(-) create mode 100644 studio/execution_storage.py create mode 100644 studio/frontend/src/lib/components/panel/ConnectionPreview.svelte create mode 100644 studio/frontend/src/lib/components/panel/PanelHeader.svelte create mode 100644 studio/frontend/src/lib/components/panel/PanelSection.svelte create mode 100644 studio/frontend/src/lib/components/panel/PanelTabs.svelte create mode 100644 studio/frontend/src/lib/stores/panel.svelte.ts create mode 100644 studio/frontend/src/routes/+layout.ts create mode 100644 studio/frontend/static/favicon.png diff --git a/.gitignore b/.gitignore index 839d052f..45a344cf 100644 --- a/.gitignore +++ b/.gitignore @@ -19,6 +19,7 @@ studio/frontend/build/ # Studio runtime data studio/.executions_history.json +studio/.executions/* # Studio config studio/config/custom_models.yaml diff --git a/studio/api.py b/studio/api.py index 8c9c05ef..f5a0a58a 100644 --- a/studio/api.py +++ b/studio/api.py @@ -3494,6 +3494,62 @@ def _reset_used_names(): _used_names = set() +def _serialize_inner_graph(inner_graph) -> dict: + """ + Recursively serialize an inner_graph structure for YAML storage. + + Args: + inner_graph: InnerGraph model or dict + + Returns: + Dictionary ready for YAML serialization + """ + result = { + 'name': inner_graph.name if hasattr(inner_graph, 'name') else inner_graph.get('name', 'Subgraph'), + 'nodes': {}, + 'edges': [] + } + + inner_nodes = inner_graph.nodes if hasattr(inner_graph, 'nodes') else inner_graph.get('nodes', []) + for inner_node in inner_nodes: + inner_node_id = inner_node.id if hasattr(inner_node, 'id') else inner_node.get('id') + inner_node_type = inner_node.node_type if hasattr(inner_node, 'node_type') else inner_node.get('node_type') + inner_node_config = { + 'node_type': inner_node_type, + 'summary': inner_node.summary if hasattr(inner_node, 'summary') else inner_node.get('summary'), + } + # Save position + inner_pos = inner_node.position if hasattr(inner_node, 'position') else inner_node.get('position', {}) + if inner_pos: + inner_node_config['position'] = { + 'x': inner_pos.x if hasattr(inner_pos, 'x') else inner_pos.get('x', 0), + 'y': inner_pos.y if hasattr(inner_pos, 'y') else inner_pos.get('y', 0) + } + # Save size + inner_size = inner_node.size if hasattr(inner_node, 'size') else inner_node.get('size') + if inner_size: + inner_node_config['size'] = { + 'width': inner_size.width if hasattr(inner_size, 'width') else inner_size.get('width', 150), + 'height': inner_size.height if hasattr(inner_size, 'height') else inner_size.get('height', 60) + } + # Recursively handle nested inner_graph + nested_inner_graph = inner_node.inner_graph if hasattr(inner_node, 'inner_graph') else inner_node.get('inner_graph') + if nested_inner_graph: + inner_node_config['inner_graph'] = _serialize_inner_graph(nested_inner_graph) + result['nodes'][inner_node_id] = inner_node_config + + inner_edges = inner_graph.edges if hasattr(inner_graph, 'edges') else inner_graph.get('edges', []) + for inner_edge in inner_edges: + edge_source = inner_edge.source if hasattr(inner_edge, 'source') else inner_edge.get('source') + edge_target = inner_edge.target if hasattr(inner_edge, 'target') else inner_edge.get('target') + result['edges'].append({ + 'from': edge_source, + 'to': edge_target + }) + + return result + + def _generate_graph_config(request: WorkflowCreateRequest, task_name: str) -> dict: """ Generate graph_config.yaml content from workflow request. @@ -3560,6 +3616,52 @@ def _generate_graph_config(request: WorkflowCreateRequest, task_name: str) -> di elif node.node_type == 'subgraph': if node.subgraph_path: node_config['subgraph'] = node.subgraph_path + elif node.inner_graph: + # Save inline subgraph data for grouped nodes + inner_graph_data = { + 'name': node.inner_graph.name if hasattr(node.inner_graph, 'name') else node.inner_graph.get('name', 'Subgraph'), + 'nodes': {}, + 'edges': [] + } + # Convert inner nodes + inner_nodes = node.inner_graph.nodes if hasattr(node.inner_graph, 'nodes') else node.inner_graph.get('nodes', []) + for inner_node in inner_nodes: + inner_node_id = inner_node.id if hasattr(inner_node, 'id') else inner_node.get('id') + inner_node_type = inner_node.node_type if hasattr(inner_node, 'node_type') else inner_node.get('node_type') + inner_node_config = { + 'node_type': inner_node_type, + 'summary': inner_node.summary if hasattr(inner_node, 'summary') else inner_node.get('summary'), + } + # Save position for inner nodes + inner_pos = inner_node.position if hasattr(inner_node, 'position') else inner_node.get('position', {}) + if inner_pos: + inner_node_config['position'] = { + 'x': inner_pos.x if hasattr(inner_pos, 'x') else inner_pos.get('x', 0), + 'y': inner_pos.y if hasattr(inner_pos, 'y') else inner_pos.get('y', 0) + } + # Save size for inner nodes + inner_size = inner_node.size if hasattr(inner_node, 'size') else inner_node.get('size') + if inner_size: + inner_node_config['size'] = { + 'width': inner_size.width if hasattr(inner_size, 'width') else inner_size.get('width', 150), + 'height': inner_size.height if hasattr(inner_size, 'height') else inner_size.get('height', 60) + } + # Handle nested subgraphs recursively + inner_inner_graph = inner_node.inner_graph if hasattr(inner_node, 'inner_graph') else inner_node.get('inner_graph') + if inner_inner_graph: + # Recursively store nested inner_graph (simplified - just store the raw data) + inner_node_config['inner_graph'] = _serialize_inner_graph(inner_inner_graph) + inner_graph_data['nodes'][inner_node_id] = inner_node_config + # Convert inner edges + inner_edges = node.inner_graph.edges if hasattr(node.inner_graph, 'edges') else node.inner_graph.get('edges', []) + for inner_edge in inner_edges: + edge_source = inner_edge.source if hasattr(inner_edge, 'source') else inner_edge.get('source') + edge_target = inner_edge.target if hasattr(inner_edge, 'target') else inner_edge.get('target') + inner_graph_data['edges'].append({ + 'from': edge_source, + 'to': edge_target + }) + node_config['inner_graph'] = inner_graph_data elif node.node_type == 'connector': if node.metadata: diff --git a/studio/execution_storage.py b/studio/execution_storage.py new file mode 100644 index 00000000..50703a0d --- /dev/null +++ b/studio/execution_storage.py @@ -0,0 +1,622 @@ +""" +Scalable Execution Storage for SyGra Studio. + +This module provides a scalable, per-run storage architecture that: +- Stores each execution in its own file (not one monolithic JSON) +- Maintains a lightweight index for fast listing/filtering +- References output files instead of duplicating data +- Supports pagination for UI scalability +- Is designed to be extensible for future multi-user support + +Directory Structure: + studio/ + โ””โ”€โ”€ .executions/ + โ”œโ”€โ”€ index.json # Lightweight index (metadata only) + โ””โ”€โ”€ runs/ + โ””โ”€โ”€ {execution_id}.json # Full execution data per run + +The index file only contains essential metadata for listing: +- id, workflow_id, workflow_name, status, started_at, completed_at, duration_ms + +Full execution data (including logs, node_states, etc.) is stored per-run +and loaded on demand when viewing a specific execution. +""" + +import json +import os +import shutil +from datetime import datetime +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple +from threading import Lock +import fcntl + +from studio.models import ( + ExecutionStatus, + NodeExecutionState, + WorkflowExecution, +) + + +# Storage version for migration support +STORAGE_VERSION = "2.0" + +# Maximum runs to keep in index (for memory efficiency) +# Older runs are still accessible but not in the quick index +MAX_INDEX_ENTRIES = 10000 + + +class ExecutionIndex: + """Lightweight execution metadata for index file.""" + + def __init__( + self, + id: str, + workflow_id: str, + workflow_name: str, + status: str, + started_at: Optional[str] = None, + completed_at: Optional[str] = None, + duration_ms: Optional[int] = None, + error: Optional[str] = None, + ): + self.id = id + self.workflow_id = workflow_id + self.workflow_name = workflow_name + self.status = status + self.started_at = started_at + self.completed_at = completed_at + self.duration_ms = duration_ms + self.error = error + + def to_dict(self) -> Dict[str, Any]: + return { + "id": self.id, + "workflow_id": self.workflow_id, + "workflow_name": self.workflow_name, + "status": self.status, + "started_at": self.started_at, + "completed_at": self.completed_at, + "duration_ms": self.duration_ms, + "error": self.error, + } + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "ExecutionIndex": + return cls( + id=data["id"], + workflow_id=data["workflow_id"], + workflow_name=data["workflow_name"], + status=data["status"], + started_at=data.get("started_at"), + completed_at=data.get("completed_at"), + duration_ms=data.get("duration_ms"), + error=data.get("error"), + ) + + @classmethod + def from_execution(cls, execution: WorkflowExecution) -> "ExecutionIndex": + """Create index entry from full execution.""" + return cls( + id=execution.id, + workflow_id=execution.workflow_id, + workflow_name=execution.workflow_name, + status=execution.status.value if hasattr(execution.status, 'value') else execution.status, + started_at=execution.started_at.isoformat() if execution.started_at else None, + completed_at=execution.completed_at.isoformat() if execution.completed_at else None, + duration_ms=execution.duration_ms, + error=execution.error, + ) + + +class ExecutionStorage: + """ + Scalable execution storage with per-run files and lightweight index. + + Thread-safe with file locking for concurrent access. + Designed to be extensible for future multi-user support. + """ + + def __init__(self, base_dir: Optional[Path] = None): + """ + Initialize execution storage. + + Args: + base_dir: Base directory for storage. Defaults to studio/.executions/ + """ + if base_dir is None: + base_dir = Path(__file__).parent / ".executions" + + self.base_dir = Path(base_dir) + self.runs_dir = self.base_dir / "runs" + self.index_file = self.base_dir / "index.json" + self.legacy_file = Path(__file__).parent / ".executions_history.json" + + # In-memory cache for active/recent executions + self._cache: Dict[str, WorkflowExecution] = {} + self._index_cache: Dict[str, ExecutionIndex] = {} + self._lock = Lock() + + # Ensure directories exist + self._ensure_directories() + + # Migrate from legacy format if needed + self._migrate_if_needed() + + # Load index into memory + self._load_index() + + def _ensure_directories(self): + """Create storage directories if they don't exist.""" + self.base_dir.mkdir(parents=True, exist_ok=True) + self.runs_dir.mkdir(parents=True, exist_ok=True) + + def _get_run_file(self, execution_id: str) -> Path: + """Get the file path for a specific run.""" + return self.runs_dir / f"{execution_id}.json" + + def _migrate_if_needed(self): + """Migrate from legacy monolithic JSON if it exists.""" + if not self.legacy_file.exists(): + return + + # Check if already migrated + if self.index_file.exists(): + # Verify index has entries or legacy is empty + try: + with open(self.index_file, 'r') as f: + index_data = json.load(f) + if index_data.get("runs") and len(index_data["runs"]) > 0: + # Already migrated, optionally remove legacy + return + except: + pass + + print(f"[ExecutionStorage] Migrating from legacy format...") + + try: + with open(self.legacy_file, 'r') as f: + legacy_data = json.load(f) + + migrated_count = 0 + index_entries = [] + + for exec_id, exec_data in legacy_data.items(): + try: + # Convert node_states if needed + if 'node_states' in exec_data and exec_data['node_states']: + exec_data['node_states'] = { + k: NodeExecutionState(**v) if isinstance(v, dict) else v + for k, v in exec_data['node_states'].items() + } + + # Create WorkflowExecution object + execution = WorkflowExecution(**exec_data) + + # Save per-run file + run_file = self._get_run_file(exec_id) + with open(run_file, 'w') as f: + json.dump(execution.model_dump(mode='json'), f, default=str) + + # Create index entry + index_entry = ExecutionIndex.from_execution(execution) + index_entries.append(index_entry) + + migrated_count += 1 + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to migrate {exec_id}: {e}") + + # Sort by started_at, newest first + index_entries.sort( + key=lambda e: e.started_at or "", + reverse=True + ) + + # Save index + index_data = { + "version": STORAGE_VERSION, + "total_runs": len(index_entries), + "last_updated": datetime.now().isoformat(), + "runs": [e.to_dict() for e in index_entries[:MAX_INDEX_ENTRIES]] + } + + with open(self.index_file, 'w') as f: + json.dump(index_data, f, indent=2) + + # Rename legacy file to backup + backup_file = self.legacy_file.with_suffix('.json.bak') + shutil.move(str(self.legacy_file), str(backup_file)) + + print(f"[ExecutionStorage] Migrated {migrated_count} executions. Legacy file backed up to {backup_file}") + + except Exception as e: + print(f"[ExecutionStorage] Migration failed: {e}") + + def _load_index(self): + """Load index into memory and verify files exist.""" + needs_save = False + + with self._lock: + self._index_cache.clear() + + if not self.index_file.exists(): + return + + try: + with open(self.index_file, 'r') as f: + data = json.load(f) + + missing_files = [] + for entry_data in data.get("runs", []): + entry = ExecutionIndex.from_dict(entry_data) + # Verify the run file still exists + run_file = self._get_run_file(entry.id) + if run_file.exists(): + self._index_cache[entry.id] = entry + else: + missing_files.append(entry.id) + + # If files were deleted externally, mark for index update + if missing_files: + print(f"[ExecutionStorage] Detected {len(missing_files)} missing run files, cleaning up index...") + needs_save = True + + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to load index: {e}") + + # Save outside the lock to avoid deadlock + if needs_save: + self._save_index() + + def _save_index(self): + """Save index to disk.""" + with self._lock: + # Sort by started_at, newest first + entries = sorted( + self._index_cache.values(), + key=lambda e: e.started_at or "", + reverse=True + ) + + index_data = { + "version": STORAGE_VERSION, + "total_runs": len(entries), + "last_updated": datetime.now().isoformat(), + "runs": [e.to_dict() for e in entries[:MAX_INDEX_ENTRIES]] + } + + # Write with file locking for safety + try: + with open(self.index_file, 'w') as f: + # Try to get exclusive lock (non-blocking) + try: + fcntl.flock(f.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB) + except (IOError, OSError): + pass # Continue without lock on Windows or if busy + + json.dump(index_data, f, indent=2) + + try: + fcntl.flock(f.fileno(), fcntl.LOCK_UN) + except (IOError, OSError): + pass + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to save index: {e}") + + def save_execution(self, execution: WorkflowExecution): + """ + Save an execution (both to per-run file and update index). + + Args: + execution: The execution to save. + """ + exec_id = execution.id + + # Save per-run file + run_file = self._get_run_file(exec_id) + try: + with open(run_file, 'w') as f: + json.dump(execution.model_dump(mode='json'), f, default=str) + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to save run file {exec_id}: {e}") + return + + # Update index + with self._lock: + index_entry = ExecutionIndex.from_execution(execution) + self._index_cache[exec_id] = index_entry + + # Update in-memory cache + self._cache[exec_id] = execution + + # Save index (only for completed/failed/cancelled) + if execution.status in (ExecutionStatus.COMPLETED, ExecutionStatus.FAILED, ExecutionStatus.CANCELLED): + self._save_index() + + def get_execution(self, execution_id: str) -> Optional[WorkflowExecution]: + """ + Get full execution by ID. + + Args: + execution_id: The execution ID. + + Returns: + The full WorkflowExecution or None if not found. + """ + # Check in-memory cache first + with self._lock: + if execution_id in self._cache: + return self._cache[execution_id] + + # Load from per-run file + run_file = self._get_run_file(execution_id) + if not run_file.exists(): + return None + + try: + with open(run_file, 'r') as f: + data = json.load(f) + + # Convert node_states if needed + if 'node_states' in data and data['node_states']: + data['node_states'] = { + k: NodeExecutionState(**v) if isinstance(v, dict) else v + for k, v in data['node_states'].items() + } + + execution = WorkflowExecution(**data) + + # Cache it + with self._lock: + self._cache[execution_id] = execution + + return execution + + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to load execution {execution_id}: {e}") + return None + + def list_executions( + self, + workflow_id: Optional[str] = None, + status: Optional[str] = None, + limit: int = 50, + offset: int = 0, + ) -> Tuple[List[ExecutionIndex], int]: + """ + List executions with filtering and pagination. + + Args: + workflow_id: Filter by workflow ID. + status: Filter by status. + limit: Maximum results to return. + offset: Number of results to skip. + + Returns: + Tuple of (list of ExecutionIndex entries, total count matching filters) + """ + with self._lock: + entries = list(self._index_cache.values()) + + # Apply filters + if workflow_id: + entries = [e for e in entries if e.workflow_id == workflow_id] + + if status: + entries = [e for e in entries if e.status == status] + + # Sort by started_at, newest first + entries.sort(key=lambda e: e.started_at or "", reverse=True) + + total = len(entries) + + # Apply pagination + entries = entries[offset:offset + limit] + + return entries, total + + def list_executions_full( + self, + workflow_id: Optional[str] = None, + status: Optional[str] = None, + limit: int = 50, + offset: int = 0, + ) -> Tuple[List[WorkflowExecution], int]: + """ + List full executions (for backward compatibility). + + This loads full execution data for each entry. + Use list_executions() for lightweight listing. + + Args: + workflow_id: Filter by workflow ID. + status: Filter by status. + limit: Maximum results to return. + offset: Number of results to skip. + + Returns: + Tuple of (list of WorkflowExecution objects, total count) + """ + index_entries, total = self.list_executions( + workflow_id=workflow_id, + status=status, + limit=limit, + offset=offset, + ) + + executions = [] + for entry in index_entries: + execution = self.get_execution(entry.id) + if execution: + executions.append(execution) + + return executions, total + + def delete_execution(self, execution_id: str) -> bool: + """ + Delete an execution. + + Args: + execution_id: The execution ID to delete. + + Returns: + True if deleted, False if not found. + """ + # Remove from cache + with self._lock: + self._cache.pop(execution_id, None) + self._index_cache.pop(execution_id, None) + + # Remove per-run file + run_file = self._get_run_file(execution_id) + if run_file.exists(): + try: + run_file.unlink() + except Exception as e: + print(f"[ExecutionStorage] Warning: Failed to delete run file {execution_id}: {e}") + return False + + # Save updated index + self._save_index() + + return True + + def update_execution_in_memory(self, execution: WorkflowExecution): + """ + Update execution in memory only (for active executions). + + Use this during execution progress updates to avoid disk I/O. + Call save_execution() when execution completes. + + Args: + execution: The execution to update. + """ + with self._lock: + self._cache[execution.id] = execution + + # Also update index cache + index_entry = ExecutionIndex.from_execution(execution) + self._index_cache[execution.id] = index_entry + + def refresh_index(self) -> int: + """ + Refresh the index by re-scanning the runs directory. + + Detects files deleted externally and orphaned files not in the index. + + Returns: + Number of changes detected (removed or added entries). + """ + changes = 0 + + with self._lock: + # Check for missing files (in index but not on disk) + missing = [] + for exec_id in list(self._index_cache.keys()): + run_file = self._get_run_file(exec_id) + if not run_file.exists(): + missing.append(exec_id) + + for exec_id in missing: + del self._index_cache[exec_id] + # Also remove from in-memory cache + self._cache.pop(exec_id, None) + changes += 1 + + if missing: + print(f"[ExecutionStorage] Removed {len(missing)} entries for missing files") + + # Check for orphaned files (on disk but not in index) + if self.runs_dir.exists(): + for run_file in self.runs_dir.glob("*.json"): + exec_id = run_file.stem + if exec_id not in self._index_cache: + # Try to load and add to index + try: + with open(run_file, 'r') as f: + data = json.load(f) + execution = WorkflowExecution(**data) + index_entry = ExecutionIndex.from_execution(execution) + self._index_cache[exec_id] = index_entry + changes += 1 + print(f"[ExecutionStorage] Added orphaned file to index: {exec_id}") + except Exception as e: + print(f"[ExecutionStorage] Warning: Could not index orphaned file {exec_id}: {e}") + + # Save updated index if changes were made + if changes > 0: + self._save_index() + + return changes + + def get_stats(self) -> Dict[str, Any]: + """Get storage statistics.""" + with self._lock: + total = len(self._index_cache) + + status_counts = {} + workflow_counts = {} + + for entry in self._index_cache.values(): + status_counts[entry.status] = status_counts.get(entry.status, 0) + 1 + workflow_counts[entry.workflow_id] = workflow_counts.get(entry.workflow_id, 0) + 1 + + return { + "total_executions": total, + "status_breakdown": status_counts, + "workflow_breakdown": workflow_counts, + "storage_version": STORAGE_VERSION, + "index_file": str(self.index_file), + "runs_directory": str(self.runs_dir), + } + + def cleanup_old_runs(self, keep_days: int = 30, keep_min: int = 100): + """ + Cleanup old execution data to manage disk space. + + Args: + keep_days: Keep executions from the last N days. + keep_min: Always keep at least this many executions. + """ + from datetime import timedelta + + cutoff = datetime.now() - timedelta(days=keep_days) + cutoff_str = cutoff.isoformat() + + with self._lock: + entries = sorted( + self._index_cache.values(), + key=lambda e: e.started_at or "", + reverse=True + ) + + # Keep recent and minimum count + to_delete = [] + kept_count = 0 + + for entry in entries: + if kept_count < keep_min: + kept_count += 1 + continue + + if entry.started_at and entry.started_at < cutoff_str: + to_delete.append(entry.id) + + # Delete old executions + for exec_id in to_delete: + self.delete_execution(exec_id) + + if to_delete: + print(f"[ExecutionStorage] Cleaned up {len(to_delete)} old executions") + + +# Global singleton instance +_storage_instance: Optional[ExecutionStorage] = None + + +def get_storage() -> ExecutionStorage: + """Get the global ExecutionStorage instance.""" + global _storage_instance + if _storage_instance is None: + _storage_instance = ExecutionStorage() + return _storage_instance diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index c53cdd9a..87282740 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -157,26 +157,33 @@ } }, AUTOSAVE_INTERVAL); - // Restore existing draft on mount (only once, and only if no workflow is already loaded) - // This prevents overwriting a workflow that was just created (e.g., from adding a recipe) - if (!draftRestored && !workflow) { + // Restore existing draft on mount (only once) + // The builder is for creating NEW workflows, so we should restore drafts + if (!draftRestored) { const savedDraft = localStorage.getItem(DRAFT_KEY); if (savedDraft) { try { const draft = JSON.parse(savedDraft); if (draft.workflow) { - workflowStore.setCurrentWorkflow(draft.workflow); - workflowName = draft.workflow.name || 'Untitled Workflow'; - workflowDescription = draft.workflow.description || ''; - hasChanges = true; - draftRestored = true; + // Restore draft if: + // 1. No workflow is loaded, OR + // 2. Current workflow is NOT a draft (user was viewing an existing workflow + // and returned to builder - their draft should be restored) + // Do NOT restore if current workflow IS a draft (e.g., recipe was just added) + const isCurrentWorkflowDraft = workflow?.id?.startsWith('new_'); + const shouldRestore = !workflow || !isCurrentWorkflowDraft; + + if (shouldRestore) { + workflowStore.setCurrentWorkflow(draft.workflow); + workflowName = draft.workflow.name || 'Untitled Workflow'; + workflowDescription = draft.workflow.description || ''; + hasChanges = true; + } } } catch (e) { console.error('Failed to parse draft:', e); } } - } else if (workflow && !draftRestored) { - // Workflow already exists (e.g., recipe was added), don't restore draft draftRestored = true; } @@ -1034,19 +1041,32 @@ // Apply auto-layout to arrange nodes nicely async function handleAutoLayout() { try { - const { autoLayout } = await import('$lib/utils/layoutUtils'); + const { autoLayout, layoutAllInnerGraphs } = await import('$lib/utils/layoutUtils'); const currentWf = workflowStore.currentWorkflow; if (!currentWf) return; - const result = autoLayout(currentWf.nodes, currentWf.edges); + // First, recursively layout all inner graphs to get proper sizes + const nodesWithInnerLayouts = layoutAllInnerGraphs(currentWf.nodes); + + // Then apply the main layout with accurate subgraph sizes + const result = autoLayout(nodesWithInnerLayouts, currentWf.edges); - // Update workflow store with new positions + // Update workflow store with new positions and inner graph layouts result.nodes.forEach(node => { workflowStore.updateNodePosition(node.id, node.position); + // Also update inner_graph if it was laid out + if (node.inner_graph) { + const existingNode = currentWf.nodes.find(n => n.id === node.id); + if (existingNode) { + existingNode.inner_graph = node.inner_graph; + existingNode.size = node.size; + } + } }); - // Sync SvelteFlow nodes + // Sync SvelteFlow nodes and edges syncNodesFromStore(); + syncEdgesFromStore(); hasChanges = true; } catch (e) { console.error('Auto-layout failed:', e); diff --git a/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte index 756829f7..258c1c83 100644 --- a/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte +++ b/studio/frontend/src/lib/components/graph/EdgeDetailsPanel.svelte @@ -1,10 +1,12 @@ @@ -214,70 +243,112 @@
-
-
-
- {#if isEditing ? editIsConditional : edge.isConditional} - - {:else} - - {/if} -
-
-

- {(isEditing ? editIsConditional : edge.isConditional) ? 'Conditional Edge' : 'Edge Connection'} -

- {#if !isEditing && edge.label} - - {edge.label} - - {/if} -
-
-
- {#if editable} - {#if isEditing} - - - {:else} - -
+
+
+ {sourceNode.summary ?? edge.source} +
+
+ {sourceNode.node_type} +
+
+ + {:else} +
+
+ +
+
+
+ {edge.source} +
+
unknown
+
+
+ {/if} + + +
+
+ +
+
+ + + {#if targetNode} + {@const TargetIcon = getNodeIcon(targetNode.node_type)} + - {/if} + +
+
+
+ {targetNode.summary ?? edge.target} +
+
+ {targetNode.node_type} +
+
+ + {:else} +
+
+ +
+
+
+ {edge.target} +
+
unknown
+
+
{/if} -
diff --git a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte index ac70dfbb..86f268dc 100644 --- a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte +++ b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte @@ -1,25 +1,48 @@ + +
@@ -719,13 +862,13 @@
-
+
{#if loading} -
+
{:else if filteredModels.length === 0} -
+
{#if models.length === 0}

No models configured

@@ -749,18 +892,50 @@ - - - - - + + + + + {#each filteredModels as model (model.name)} {@const Icon = getModelIcon(model.model_type)} - - - - - @@ -833,7 +1025,7 @@
ModelTypeStatusLatencyActions + + + + + + + + Actions
+
@@ -779,11 +954,31 @@
+ {model.model_type_label} - {#if !model.credentials_configured} + + {#if pingingModels.has(model.name)} + + + + Checking... + + {:else if recentlyChecked.has(model.name)} + + {@const result = recentlyChecked.get(model.name)} + {#if result === 'success'} + + + Online + + {:else} + + + {model.status} + + {/if} + {:else if !model.credentials_configured} Needs Config @@ -805,26 +1000,23 @@ {/if} - {model.latency_ms ? formatLatency(model.latency_ms) : '-'} + + {#if pingingModels.has(model.name)} + ... + {:else} + {model.latency_ms ? formatLatency(model.latency_ms) : '-'} + {/if} -
-
+
+ + - {#if model.is_builtin} - - - - {:else} - - - {/if}
{:else} -
+
{#if onlineModels.length > 0}
@@ -844,7 +1036,17 @@
{#each onlineModels as model (model.name)} {@const Icon = getModelIcon(model.model_type)} -
+ {@const isChecking = pingingModels.has(model.name)} + {@const wasJustChecked = recentlyChecked.has(model.name)} +
openDetails(model)} + > + {#if isChecking} +
+ +
+ {/if}
@@ -862,15 +1064,21 @@

{model.model}

{model.model_type_label} - {#if model.latency_ms}{formatLatency(model.latency_ms)}{/if} + {#if isChecking} + checking... + {:else if model.latency_ms} + {formatLatency(model.latency_ms)} + {/if}
-
- - {#if !model.is_builtin} - - {/if} -
+ +
{/each} @@ -888,7 +1096,18 @@
{#each configuredModels as model (model.name)} {@const Icon = getModelIcon(model.model_type)} -
+ {@const isChecking = pingingModels.has(model.name)} + {@const wasJustChecked = recentlyChecked.has(model.name)} + {@const checkResult = recentlyChecked.get(model.name)} +
openDetails(model)} + > + {#if isChecking} +
+ +
+ {/if}
@@ -902,7 +1121,9 @@ SyGra {/if} - {#if model.status === 'offline' || model.status === 'error'} + {#if isChecking} + + {:else if model.status === 'offline' || model.status === 'error'} {:else} @@ -911,15 +1132,21 @@

{model.model}

{model.model_type_label} - {#if model.error}{model.error}{/if} + {#if isChecking} + checking... + {:else if model.error} + {model.error} + {/if}
-
- - {#if !model.is_builtin} - - {/if} -
+ +
{/each} @@ -937,7 +1164,16 @@
{#each needsConfigModels as model (model.name)} {@const Icon = getModelIcon(model.model_type)} -
+ {@const isChecking = pingingModels.has(model.name)} +
openDetails(model)} + > + {#if isChecking} +
+ +
+ {/if}
@@ -955,17 +1191,19 @@

{model.model}

{model.model_type_label} + {#if isChecking} + checking... + {/if}
- {#if model.is_builtin} - - Set ENV - - {:else} - - {/if} + +
{/each} @@ -977,6 +1215,95 @@
+ +{#if openMenuId && menuPosition} + {@const model = models.find(m => m.name === openMenuId)} + {#if model} + {@const modelName = model.name} + {@const modelId = model.model} + {@const isBuiltin = model.is_builtin} + {@const modelRef = model} +
e.stopPropagation()} + > + + + + + + +
+ + + + + + + +
+ + + {#if !isBuiltin} + + {:else} +
+ + Edit (Read-only) +
+ {/if} + + + {#if !isBuiltin} + + {/if} +
+ {/if} +{/if} + {#if showEditor}
@@ -1252,3 +1579,209 @@ on:cancel={() => { showDeleteConfirm = false; modelToDelete = null; }} /> {/if} + + +{#if showDetails && detailsModel} + {@const Icon = getModelIcon(detailsModel.model_type)} +
+
e.stopPropagation()} + > + +
+
+
+ +
+
+
+

{detailsModel.name}

+ {#if detailsModel.is_builtin} + + + SyGra + + {/if} +
+

{detailsModel.model}

+
+
+ +
+ + +
+ +
+
+ + {#if pingingModels.has(detailsModel.name)} + + + Checking... + + {:else if !detailsModel.credentials_configured} + + + Needs Configuration + + {:else if detailsModel.status === 'online'} + + + Online + + {:else if detailsModel.status === 'offline' || detailsModel.status === 'error'} + + + {detailsModel.status.charAt(0).toUpperCase() + detailsModel.status.slice(1)} + + {:else} + + + Unknown + + {/if} + + + {#if detailsModel.latency_ms} + + + {formatLatency(detailsModel.latency_ms)} + + {/if} + + + {#if detailsModel.last_checked} + + + {formatTime(detailsModel.last_checked)} + + {/if} +
+ + +
+ + + {#if detailsModel.error} +
+
+ +
+

Error Details

+

{detailsModel.error}

+
+
+
+ {/if} + + +
+

Model Information

+
+
+

Type

+

{detailsModel.model_type_label}

+
+
+

Model ID

+
+

{detailsModel.model}

+ +
+
+ {#if detailsModel.api_version} +
+

API Version

+

{detailsModel.api_version}

+
+ {/if} +
+

Credentials

+

+ {detailsModel.credentials_configured ? 'Configured' : 'Not Configured'} +

+
+
+
+ + + {#if Object.keys(detailsModel.parameters || {}).length > 0} +
+

Parameters

+
+ + + {#each Object.entries(detailsModel.parameters) as [key, value]} + + + + + {/each} + +
{key} + {typeof value === 'object' ? JSON.stringify(value) : String(value)} +
+
+
+ {/if} + + + {#if detailsModel.status_code} +
+ + HTTP Status Code: {detailsModel.status_code} +
+ {/if} +
+ + +
+
+ {#if !detailsModel.is_builtin} + + + {/if} +
+ +
+
+
+{/if} diff --git a/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte b/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte new file mode 100644 index 00000000..823988db --- /dev/null +++ b/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte @@ -0,0 +1,179 @@ + + +
+ +
+
+ + + Inputs ({incomingConnections().length}) + +
+ + {#if incomingConnections().length === 0} +
+ No incoming connections +
+ {:else} +
+ {#each incomingConnections() as conn} + {@const Icon = getIcon(conn.nodeType)} + {@const color = getColor(conn.nodeType)} + + {/each} +
+ {/if} +
+ + +
+
+ + + Outputs ({outgoingConnections().length}) + +
+ + {#if outgoingConnections().length === 0} +
+ No outgoing connections +
+ {:else} +
+ {#each outgoingConnections() as conn} + {@const Icon = getIcon(conn.nodeType)} + {@const color = getColor(conn.nodeType)} + + {/each} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/panel/PanelHeader.svelte b/studio/frontend/src/lib/components/panel/PanelHeader.svelte new file mode 100644 index 00000000..b51e2d85 --- /dev/null +++ b/studio/frontend/src/lib/components/panel/PanelHeader.svelte @@ -0,0 +1,263 @@ + + +
+ +
+ + +
+ +
+
+ +
+ +
+ + +
+

+ {title} +

+ {#if subtitle} +
+ {subtitle} + {#if nodeId} + โ€ข + {nodeId} + {/if} +
+ {/if} +
+
+ + +
+ {#if showNavigation} +
+ + +
+ {/if} + + +
+
+ + +
+ +
+ {#if showCopyId && nodeId} + + {/if} + + {#if showDuplicate && onDuplicate} + + {/if} + + {#if showDelete && onDelete} + + {/if} +
+ + +
+ {#if canEdit} + {#if isEditing} + + + {:else} + + {/if} + {/if} +
+
+
+ + + {#if showCopiedToast} +
+ Copied to clipboard! +
+ {/if} +
+ + diff --git a/studio/frontend/src/lib/components/panel/PanelSection.svelte b/studio/frontend/src/lib/components/panel/PanelSection.svelte new file mode 100644 index 00000000..ad450c79 --- /dev/null +++ b/studio/frontend/src/lib/components/panel/PanelSection.svelte @@ -0,0 +1,91 @@ + + +
+ + {#if collapsible} + + {:else} +
+ {#if Icon} + + {/if} + + {title} + + {#if badge !== undefined && badge !== null} + + {badge} + + {/if} +
+ {/if} + + + {#if isOpen || !collapsible} +
+ {@render children()} +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/panel/PanelTabs.svelte b/studio/frontend/src/lib/components/panel/PanelTabs.svelte new file mode 100644 index 00000000..35be2473 --- /dev/null +++ b/studio/frontend/src/lib/components/panel/PanelTabs.svelte @@ -0,0 +1,88 @@ + + +
+
+ {#each visibleTabs as tab, index (tab.id)} + {@const isActive = activeTab === tab.id} + {@const Icon = tab.icon} + + {/each} +
+
diff --git a/studio/frontend/src/lib/components/runs/RunDetailsView.svelte b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte index b5b809e4..bc132a3a 100644 --- a/studio/frontend/src/lib/components/runs/RunDetailsView.svelte +++ b/studio/frontend/src/lib/components/runs/RunDetailsView.svelte @@ -7,7 +7,8 @@ X, CheckCircle2, XCircle, Clock, Loader2, FileJson, FileText, Calendar, Timer, Hash, Database, ChevronDown, Copy, Check, Activity, Layers, ArrowRight, DollarSign, Zap, Cpu, GitBranch, - BarChart3, Server, Box, TrendingUp, ArrowLeft, PieChart, Gauge + BarChart3, Server, Box, TrendingUp, ArrowLeft, PieChart, Gauge, + ExternalLink } from 'lucide-svelte'; import type { Chart as ChartType } from 'chart.js'; @@ -62,6 +63,39 @@ setTimeout(() => copiedField = null, 2000); } + // Generate HuggingFace dataset URL + function getHuggingFaceUrl(datasetPath: string): string | null { + if (!datasetPath) return null; + // HF dataset paths are typically in format "org/dataset" or "dataset" + // Clean the path and construct URL + const cleanPath = datasetPath.trim(); + if (cleanPath.includes('/') || /^[a-zA-Z0-9_-]+$/.test(cleanPath)) { + return `https://huggingface.co/datasets/${cleanPath}`; + } + return null; + } + + // Generate GitHub commit URL (if remote URL is available in metadata) + function getGitHubCommitUrl(gitInfo: { commit_hash?: string; remote_url?: string; branch?: string }): string | null { + if (!gitInfo?.commit_hash) return null; + + // If remote_url is provided, parse it + if (gitInfo.remote_url) { + let repoUrl = gitInfo.remote_url; + // Convert SSH to HTTPS format + if (repoUrl.startsWith('git@github.com:')) { + repoUrl = repoUrl.replace('git@github.com:', 'https://github.com/').replace(/\.git$/, ''); + } else if (repoUrl.startsWith('https://github.com/')) { + repoUrl = repoUrl.replace(/\.git$/, ''); + } else { + return null; // Not a GitHub URL + } + return `${repoUrl}/commit/${gitInfo.commit_hash}`; + } + + return null; + } + let sampleOutput = $derived(() => { if (!execution.output_data) return null; if (Array.isArray(execution.output_data)) { @@ -584,11 +618,41 @@ {metadata.execution.timing.duration_seconds.toFixed(2)}s
{#if metadata.execution.git} -
- Git: - - {metadata.execution.git.branch} @ {metadata.execution.git.commit_hash.slice(0, 7)} - +
+ Git: +
+ {metadata.execution.git.branch} + @ + {@const gitUrl = getGitHubCommitUrl(metadata.execution.git)} + {#if gitUrl} + + {metadata.execution.git.commit_hash.slice(0, 7)} + + + {:else} + + {/if} + {#if metadata.execution.git.is_dirty} + (dirty) + {/if} +
{/if}
@@ -606,11 +670,24 @@ {metadata.dataset.source_type === 'hf' ? 'HuggingFace' : metadata.dataset.source_type === 'servicenow' ? 'ServiceNow' : 'Local File'}
-
+
Source: - - {metadata.dataset.source_path} - + {@const hfUrl = metadata.dataset.source_type === 'hf' ? getHuggingFaceUrl(metadata.dataset.source_path) : null} + {#if hfUrl} + + {metadata.dataset.source_path} + + + {:else} + + {metadata.dataset.source_path} + + {/if}
Records Processed: @@ -622,10 +699,27 @@ {metadata.dataset.start_index}
{/if} + {#if metadata.dataset.dataset_version} +
+ Version: + {metadata.dataset.dataset_version} +
+ {/if} {#if metadata.dataset.dataset_hash} -
+
Data Hash: - {metadata.dataset.dataset_hash.slice(0, 12)}... +
{/if}
diff --git a/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte index 02cf6536..6ee21994 100644 --- a/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte +++ b/studio/frontend/src/lib/components/runs/RunDetailsViewEnhanced.svelte @@ -78,6 +78,33 @@ setTimeout(() => copiedField = null, 2000); } + // Generate HuggingFace dataset URL + function getHuggingFaceUrl(datasetPath: string): string | null { + if (!datasetPath) return null; + const cleanPath = datasetPath.trim(); + if (cleanPath.includes('/') || /^[a-zA-Z0-9_-]+$/.test(cleanPath)) { + return `https://huggingface.co/datasets/${cleanPath}`; + } + return null; + } + + // Generate GitHub commit URL + function getGitHubCommitUrl(gitInfo: { commit_hash?: string; remote_url?: string }): string | null { + if (!gitInfo?.commit_hash) return null; + if (gitInfo.remote_url) { + let repoUrl = gitInfo.remote_url; + if (repoUrl.startsWith('git@github.com:')) { + repoUrl = repoUrl.replace('git@github.com:', 'https://github.com/').replace(/\.git$/, ''); + } else if (repoUrl.startsWith('https://github.com/')) { + repoUrl = repoUrl.replace(/\.git$/, ''); + } else { + return null; + } + return `${repoUrl}/commit/${gitInfo.commit_hash}`; + } + return null; + } + let sampleOutput = $derived(() => { if (!execution.output_data) return null; if (Array.isArray(execution.output_data)) { @@ -422,34 +449,86 @@ Execution Details
-
- Run ID - {execution.id} +
+ Run ID +
-
- Workflow - {execution.workflow_name || '-'} +
+ Workflow + {execution.workflow_name || '-'}
Started {formatDate(execution.started_at)}
{#if execution.output_file} -
- Output File - +
+ Output File +
{/if} {#if metadata?.execution?.git} -
- +
+ Git - - {metadata.execution.git.branch} @ {metadata.execution.git.commit_hash.slice(0, 7)} - +
+ {metadata.execution.git.branch} + @ + {#if metadata.execution.git.commit_hash} + {@const gitUrl = getGitHubCommitUrl(metadata.execution.git)} + {#if gitUrl} + + {metadata.execution.git.commit_hash.slice(0, 7)} + + + {:else} + + {/if} + {/if} + {#if metadata.execution.git.is_dirty} + (dirty) + {/if} +
{/if}
@@ -469,20 +548,58 @@ {metadata.dataset.source_type === 'hf' ? 'HuggingFace' : metadata.dataset.source_type === 'servicenow' ? 'ServiceNow' : 'Local'}
-
- Source - - {metadata.dataset.source_path} - +
+ Source + {#if metadata.dataset.source_type === 'hf'} + {@const hfUrl = getHuggingFaceUrl(metadata.dataset.source_path)} + {#if hfUrl} + + {metadata.dataset.source_path} + + + {:else} + + {metadata.dataset.source_path} + + {/if} + {:else} + + {metadata.dataset.source_path} + + {/if}
+ {#if metadata.dataset.dataset_version} +
+ Version + + {metadata.dataset.dataset_version} + +
+ {/if}
Records {metadata.dataset.num_records_processed}
{#if metadata.dataset.dataset_hash} -
- Hash - {metadata.dataset.dataset_hash.slice(0, 12)}... +
+ Hash +
{/if}
diff --git a/studio/frontend/src/lib/components/sidebar/Sidebar.svelte b/studio/frontend/src/lib/components/sidebar/Sidebar.svelte index 372c4d22..6162be44 100644 --- a/studio/frontend/src/lib/components/sidebar/Sidebar.svelte +++ b/studio/frontend/src/lib/components/sidebar/Sidebar.svelte @@ -63,12 +63,33 @@ } } + const DRAFT_KEY = 'sygra_workflow_draft'; + function createNewWorkflow() { // If already in builder with a workflow, just switch to builder view - // Only create new workflow if there isn't one already - if (currentView !== 'builder' || !workflowStore.currentWorkflow) { - workflowStore.createNewWorkflow(); + if (currentView === 'builder' && workflowStore.currentWorkflow) { + return; + } + + // Check if there's a saved draft - if so, let WorkflowBuilder restore it + const savedDraft = localStorage.getItem(DRAFT_KEY); + if (savedDraft) { + try { + const draft = JSON.parse(savedDraft); + if (draft.workflow) { + // There's a draft - don't create new workflow, just navigate to builder + // WorkflowBuilder will restore the draft + uiStore.setView('builder'); + updateUrl('builder'); + return; + } + } catch (e) { + // Invalid draft, continue to create new workflow + } } + + // No draft exists, create a new workflow + workflowStore.createNewWorkflow(); uiStore.setView('builder'); updateUrl('builder'); } diff --git a/studio/frontend/src/lib/stores/panel.svelte.ts b/studio/frontend/src/lib/stores/panel.svelte.ts new file mode 100644 index 00000000..08d49fb9 --- /dev/null +++ b/studio/frontend/src/lib/stores/panel.svelte.ts @@ -0,0 +1,160 @@ +/** + * Panel Store - Manages panel preferences and state persistence + * + * Persists: + * - Panel widths (node and edge panels) + * - Collapsed sections per node type + * - Last active tab per node type + */ + +const STORAGE_KEY = 'sygra_panel_preferences'; + +interface PanelPreferences { + nodeWidth: number; + edgeWidth: number; + collapsedSections: Record; // nodeType -> sectionIds + lastTabByNodeType: Record; // nodeType -> tabId +} + +const DEFAULT_PREFERENCES: PanelPreferences = { + nodeWidth: 640, + edgeWidth: 640, + collapsedSections: {}, + lastTabByNodeType: {} +}; + +function loadPreferences(): PanelPreferences { + if (typeof window === 'undefined') return DEFAULT_PREFERENCES; + + try { + const stored = localStorage.getItem(STORAGE_KEY); + if (stored) { + const parsed = JSON.parse(stored); + return { ...DEFAULT_PREFERENCES, ...parsed }; + } + } catch (e) { + console.error('Failed to load panel preferences:', e); + } + return DEFAULT_PREFERENCES; +} + +function savePreferences(prefs: PanelPreferences) { + if (typeof window === 'undefined') return; + + try { + localStorage.setItem(STORAGE_KEY, JSON.stringify(prefs)); + } catch (e) { + console.error('Failed to save panel preferences:', e); + } +} + +function createPanelStore() { + let preferences = $state(DEFAULT_PREFERENCES); + let initialized = $state(false); + + // Initialize from localStorage on mount + function initialize() { + if (initialized) return; + preferences = loadPreferences(); + initialized = true; + } + + return { + // Getters + get nodeWidth() { + initialize(); + return preferences.nodeWidth; + }, + get edgeWidth() { + initialize(); + return preferences.edgeWidth; + }, + + // Width setters + setNodeWidth(width: number) { + initialize(); + const clampedWidth = Math.max(480, Math.min(1000, width)); + preferences = { ...preferences, nodeWidth: clampedWidth }; + savePreferences(preferences); + }, + + setEdgeWidth(width: number) { + initialize(); + const clampedWidth = Math.max(480, Math.min(1000, width)); + preferences = { ...preferences, edgeWidth: clampedWidth }; + savePreferences(preferences); + }, + + // Collapsed sections + isSectionCollapsed(nodeType: string, sectionId: string): boolean { + initialize(); + return preferences.collapsedSections[nodeType]?.includes(sectionId) ?? false; + }, + + toggleSection(nodeType: string, sectionId: string) { + initialize(); + const current = preferences.collapsedSections[nodeType] ?? []; + const isCollapsed = current.includes(sectionId); + + const updated = isCollapsed + ? current.filter(id => id !== sectionId) + : [...current, sectionId]; + + preferences = { + ...preferences, + collapsedSections: { + ...preferences.collapsedSections, + [nodeType]: updated + } + }; + savePreferences(preferences); + }, + + setSectionCollapsed(nodeType: string, sectionId: string, collapsed: boolean) { + initialize(); + const current = preferences.collapsedSections[nodeType] ?? []; + const isCurrentlyCollapsed = current.includes(sectionId); + + if (collapsed === isCurrentlyCollapsed) return; + + const updated = collapsed + ? [...current, sectionId] + : current.filter(id => id !== sectionId); + + preferences = { + ...preferences, + collapsedSections: { + ...preferences.collapsedSections, + [nodeType]: updated + } + }; + savePreferences(preferences); + }, + + // Last active tab + getLastTab(nodeType: string): string | null { + initialize(); + return preferences.lastTabByNodeType[nodeType] ?? null; + }, + + setLastTab(nodeType: string, tabId: string) { + initialize(); + preferences = { + ...preferences, + lastTabByNodeType: { + ...preferences.lastTabByNodeType, + [nodeType]: tabId + } + }; + savePreferences(preferences); + }, + + // Reset + resetPreferences() { + preferences = { ...DEFAULT_PREFERENCES }; + savePreferences(preferences); + } + }; +} + +export const panelStore = createPanelStore(); diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 5cf605cd..dda1a1da 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -4,6 +4,8 @@ * Manages workflows, executions, and UI state for the SyGra Workflow Studio. */ +import { layoutInnerGraph, calculateSubgraphDimensions, layoutAllInnerGraphs } from '$lib/utils/layoutUtils'; + const API_BASE = '/api'; // Types @@ -43,6 +45,16 @@ export interface InnerGraph { edges: WorkflowEdge[]; } +// Node configuration override for subgraph inner nodes +export interface NodeConfigOverride { + model?: ModelConfig; + prompt?: PromptMessage[]; + pre_process?: string; + post_process?: string; + prompt_placeholder_map?: Record; + [key: string]: unknown; +} + export interface WorkflowNode { id: string; node_type: 'data' | 'start' | 'end' | 'output' | 'llm' | 'agent' | 'lambda' | 'subgraph' | 'branch' | 'weighted_sampler'; @@ -55,6 +67,7 @@ export interface WorkflowNode { function_path?: string; subgraph_path?: string; inner_graph?: InnerGraph; // Expanded subgraph contents + node_config_map?: Record; // Override configs for inner nodes (subgraph only) position: { x: number; y: number }; size?: { width: number; height: number }; metadata?: Record; @@ -67,6 +80,8 @@ export interface WorkflowNode { // Tool calling fields (for LLM/Agent nodes) tools?: string[]; tool_choice?: 'auto' | 'required' | 'none'; + // Output keys - state variable name(s) for this node's output + output_keys?: string | string[]; } export interface AvailableModel { @@ -788,10 +803,19 @@ function createWorkflowStore() { }, // Add a node to the current workflow - addNode(nodeType: string, position: { x: number; y: number }) { + addNode(nodeType: WorkflowNode['node_type'], position: { x: number; y: number }) { if (!currentWorkflow) return null; - const id = `${nodeType}_${Date.now()}`; + // Generate incremental ID: find the highest existing number for this node type + const existingIds = currentWorkflow.nodes + .filter(n => n.id.startsWith(`${nodeType}_`)) + .map(n => { + const match = n.id.match(new RegExp(`^${nodeType}_(\\d+)$`)); + return match ? parseInt(match[1], 10) : 0; + }); + const nextNum = existingIds.length > 0 ? Math.max(...existingIds) + 1 : 1; + const id = `${nodeType}_${nextNum}`; + const newNode: WorkflowNode = { id, node_type: nodeType, @@ -849,7 +873,14 @@ function createWorkflowStore() { ): { nodes: WorkflowNode[]; edges: WorkflowEdge[] } | null { if (!currentWorkflow) return null; - const timestamp = Date.now(); + // Generate incremental subgraph ID + const existingSubgraphIds = currentWorkflow.nodes + .filter(n => n.id.startsWith('subgraph_')) + .map(n => { + const match = n.id.match(/^subgraph_(\d+)$/); + return match ? parseInt(match[1], 10) : 0; + }); + const nextSubgraphNum = existingSubgraphIds.length > 0 ? Math.max(...existingSubgraphIds) + 1 : 1; const offset = offsetPosition || { x: 400, y: 200 }; // Normalize inner node positions to start from (0, 0) @@ -869,7 +900,7 @@ function createWorkflowStore() { // Create a single subgraph node containing the recipe const subgraphNode: WorkflowNode = { - id: `subgraph_${timestamp}`, + id: `subgraph_${nextSubgraphNum}`, node_type: 'subgraph', summary: recipeName || 'Imported Subgraph', position: offset, @@ -898,13 +929,29 @@ function createWorkflowStore() { return null; } - const timestamp = Date.now(); const idMap = new Map(); const innerGraph = subgraphNode.inner_graph; - // Create new nodes with unique IDs and offset by subgraph position - const newNodes: WorkflowNode[] = innerGraph.nodes.map((node, index) => { - const newId = `${node.id}_${timestamp}_${index}`; + // Track the next available ID for each node type + const typeCounters = new Map(); + + // Initialize counters based on existing nodes in the workflow + for (const existingNode of currentWorkflow.nodes) { + const nodeType = existingNode.node_type; + const match = existingNode.id.match(new RegExp(`^${nodeType}_(\\d+)$`)); + if (match) { + const num = parseInt(match[1], 10); + const current = typeCounters.get(nodeType) || 0; + typeCounters.set(nodeType, Math.max(current, num)); + } + } + + // Create new nodes with incremental IDs and offset by subgraph position + const newNodes: WorkflowNode[] = innerGraph.nodes.map((node) => { + const nodeType = node.node_type; + const nextNum = (typeCounters.get(nodeType) || 0) + 1; + typeCounters.set(nodeType, nextNum); + const newId = `${nodeType}_${nextNum}`; idMap.set(node.id, newId); return { @@ -1128,8 +1175,13 @@ function createWorkflowStore() { if (!currentWorkflow) return; // Dynamic import to avoid SSR issues - import('$lib/utils/layoutUtils').then(({ autoLayout }) => { - const result = autoLayout(currentWorkflow!.nodes, currentWorkflow!.edges); + import('$lib/utils/layoutUtils').then(({ autoLayout, layoutAllInnerGraphs }) => { + // First, recursively layout all inner graphs to get proper sizes + const nodesWithInnerLayouts = layoutAllInnerGraphs(currentWorkflow!.nodes); + + // Then apply the main layout with accurate subgraph sizes + const result = autoLayout(nodesWithInnerLayouts, currentWorkflow!.edges); + currentWorkflow = { ...currentWorkflow!, nodes: result.nodes @@ -1238,8 +1290,8 @@ function createWorkflowStore() { y: (minY + maxY) / 2 }; - // Adjust inner node positions to be relative to the bounding box - const innerNodes: WorkflowNode[] = nodesToGroup.map(n => ({ + // Create temporary inner nodes with relative positions for layout + const tempInnerNodes: WorkflowNode[] = nodesToGroup.map(n => ({ ...n, position: { x: n.position.x - minX + 20, // 20px padding @@ -1253,17 +1305,38 @@ function createWorkflowStore() { id: `inner_${e.id}` })); - // Create the subgraph node - const subgraphId = `subgraph_${Date.now()}`; + // Apply auto-layout to inner nodes for proper arrangement + const { nodes: layoutedInnerNodes, width: innerWidth, height: innerHeight } = layoutInnerGraph( + tempInnerNodes, + innerEdges + ); + + // Calculate subgraph dimensions based on laid out inner content + const subgraphWidth = innerWidth + 40; // 40px total padding + const subgraphHeight = innerHeight + 100; // 60px header + 40px padding + + // Generate incremental subgraph ID + const existingSubgraphIds = currentWorkflow.nodes + .filter(n => n.id.startsWith('subgraph_')) + .map(n => { + const match = n.id.match(/^subgraph_(\d+)$/); + return match ? parseInt(match[1], 10) : 0; + }); + const nextSubgraphNum = existingSubgraphIds.length > 0 ? Math.max(...existingSubgraphIds) + 1 : 1; + const subgraphId = `subgraph_${nextSubgraphNum}`; const subgraphNode: WorkflowNode = { id: subgraphId, node_type: 'subgraph', summary: subgraphName, description: subgraphDescription, position: centerPosition, + size: { + width: subgraphWidth, + height: subgraphHeight + }, inner_graph: { name: subgraphName, - nodes: innerNodes, + nodes: layoutedInnerNodes, edges: innerEdges } }; diff --git a/studio/frontend/src/lib/utils/layoutUtils.ts b/studio/frontend/src/lib/utils/layoutUtils.ts index 514e7880..2750783b 100644 --- a/studio/frontend/src/lib/utils/layoutUtils.ts +++ b/studio/frontend/src/lib/utils/layoutUtils.ts @@ -25,18 +25,69 @@ const DEFAULT_CONFIG: LayoutConfig = { direction: 'LR' }; -// Subgraph nodes are larger -const SUBGRAPH_CONFIG = { - nodeWidth: 350, - nodeHeight: 250 +// Inner graph layout config (compact spacing for subgraph content) +const INNER_GRAPH_CONFIG: LayoutConfig = { + nodeWidth: 140, + nodeHeight: 44, + horizontalGap: 30, + verticalGap: 20, + direction: 'LR' }; +// Subgraph sizing constants - SINGLE source of truth for padding +const INNER_PADDING = 12; // Padding around inner nodes +const HEADER_HEIGHT = 44; // Header height (py-1.5 + content) +const MIN_INNER_WIDTH = 200; // Minimum content area width +const MIN_INNER_HEIGHT = 60; // Minimum content area height + +/** + * Calculate the dimensions of a subgraph based on its inner graph content. + * Returns total width and height including header. + */ +export function calculateSubgraphDimensions( + innerGraph: { nodes: WorkflowNode[]; edges: WorkflowEdge[] } | undefined | null +): { width: number; height: number } { + if (!innerGraph?.nodes?.length) { + return { width: MIN_INNER_WIDTH, height: MIN_INNER_HEIGHT + HEADER_HEIGHT }; + } + + let maxX = 0; + let maxY = 0; + + for (const node of innerGraph.nodes) { + const nodeWidth = node.size?.width || INNER_GRAPH_CONFIG.nodeWidth; + const nodeHeight = node.size?.height || INNER_GRAPH_CONFIG.nodeHeight; + const x = node.position?.x || 0; + const y = node.position?.y || 0; + + maxX = Math.max(maxX, x + nodeWidth); + maxY = Math.max(maxY, y + nodeHeight); + } + + // Content area = node extent + padding on each side + // Total = content area width, content area height + header + return { + width: Math.max(MIN_INNER_WIDTH, maxX + INNER_PADDING * 2), + height: Math.max(MIN_INNER_HEIGHT, maxY + INNER_PADDING * 2) + HEADER_HEIGHT + }; +} + /** - * Get the dimensions for a node based on its type + * Get the dimensions for a node based on its type. + * For subgraph nodes, calculates actual size based on inner content. */ function getNodeDimensions(node: WorkflowNode, cfg: LayoutConfig): { width: number; height: number } { if (node.node_type === 'subgraph') { - return { width: SUBGRAPH_CONFIG.nodeWidth, height: SUBGRAPH_CONFIG.nodeHeight }; + // Use actual inner graph dimensions if available + if (node.inner_graph?.nodes?.length) { + return calculateSubgraphDimensions(node.inner_graph); + } + // Use explicit size if set + if (node.size?.width && node.size?.height) { + return { width: node.size.width, height: node.size.height }; + } + // Fallback to minimum + return { width: MIN_SUBGRAPH_WIDTH, height: MIN_SUBGRAPH_HEIGHT }; } return { width: cfg.nodeWidth, height: cfg.nodeHeight }; } @@ -50,6 +101,9 @@ export interface LayoutResult { /** * Apply Sugiyama (layered) layout to workflow nodes using d3-dag. * This creates a clean, hierarchical visualization of the DAG. + * + * For graphs with subgraph nodes (which have variable sizes), this function + * falls back to the simple layout which handles variable sizes properly. */ export function applyDagLayout( nodes: WorkflowNode[], @@ -62,6 +116,17 @@ export function applyDagLayout( return { nodes: [], width: 0, height: 0 }; } + // Check if any nodes have variable sizes (subgraphs with inner_graph) + // If so, use simple layout which handles variable sizes better + const hasVariableSizeNodes = nodes.some(n => + n.node_type === 'subgraph' && (n.inner_graph?.nodes?.length || n.size) + ); + + if (hasVariableSizeNodes) { + console.log('Graph has variable-size subgraph nodes, using simple layout'); + return applySimpleLayout(nodes, edges, cfg); + } + // Build adjacency structure for d3-dag const nodeIds = new Set(nodes.map(n => n.id)); const parentMap = new Map(); @@ -483,3 +548,127 @@ export function autoLayout( // Try d3-dag first, fall back to simple layout return applyDagLayout(nodes, edges, config); } + +/** + * Apply auto-layout to inner graph nodes (compact spacing for subgraph content). + * Returns the laid out nodes and the content bounding dimensions (without padding). + * Normalizes positions to start at (0, 0) for consistent padding in subgraph rendering. + */ +export function layoutInnerGraph( + nodes: WorkflowNode[], + edges: WorkflowEdge[] +): { nodes: WorkflowNode[]; width: number; height: number } { + if (nodes.length === 0) { + return { nodes: [], width: MIN_INNER_WIDTH, height: MIN_INNER_HEIGHT }; + } + + // Use compact config for inner graphs + const result = applySimpleLayout(nodes, edges, INNER_GRAPH_CONFIG); + + // Find minimum x and y to normalize positions to start at (0, 0) + let minX = Infinity; + let minY = Infinity; + let maxX = 0; + let maxY = 0; + + for (const node of result.nodes) { + const x = node.position?.x || 0; + const y = node.position?.y || 0; + const w = node.size?.width || INNER_GRAPH_CONFIG.nodeWidth; + const h = node.size?.height || INNER_GRAPH_CONFIG.nodeHeight; + + minX = Math.min(minX, x); + minY = Math.min(minY, y); + maxX = Math.max(maxX, x + w); + maxY = Math.max(maxY, y + h); + } + + // Handle edge case of single node or no valid positions + if (minX === Infinity) minX = 0; + if (minY === Infinity) minY = 0; + + // Normalize positions so nodes start at (0, 0) + const normalizedNodes = result.nodes.map(node => ({ + ...node, + position: { + x: (node.position?.x || 0) - minX, + y: (node.position?.y || 0) - minY + } + })); + + // Content dimensions = extent of nodes (without extra padding from applySimpleLayout) + const contentWidth = maxX - minX; + const contentHeight = maxY - minY; + + return { + nodes: normalizedNodes, + width: Math.max(MIN_INNER_WIDTH, contentWidth), + height: Math.max(MIN_INNER_HEIGHT, contentHeight) + }; +} + +/** + * Recursively apply layout to all inner graphs in a workflow. + * This ensures all nested subgraphs have proper layouts and sizes. + */ +export function layoutAllInnerGraphs(nodes: WorkflowNode[]): WorkflowNode[] { + return nodes.map(node => { + if (node.node_type === 'subgraph' && node.inner_graph?.nodes?.length) { + // First, recursively layout any nested subgraphs within this inner graph + const innerNodesWithLayouts = layoutAllInnerGraphs(node.inner_graph.nodes); + + // Then layout this subgraph's inner nodes + const { nodes: layoutedInnerNodes, width: contentWidth, height: contentHeight } = layoutInnerGraph( + innerNodesWithLayouts, + node.inner_graph.edges || [] + ); + + // Calculate total size: content + padding + header + const totalWidth = Math.max(MIN_INNER_WIDTH, contentWidth + INNER_PADDING * 2); + const totalHeight = Math.max(MIN_INNER_HEIGHT, contentHeight + INNER_PADDING * 2) + HEADER_HEIGHT; + + return { + ...node, + inner_graph: { + ...node.inner_graph, + nodes: layoutedInnerNodes + }, + size: { width: totalWidth, height: totalHeight } + }; + } + return node; + }); +} + +/** + * Get inner graph layout configuration (exported for use in components). + */ +export function getInnerGraphConfig(): LayoutConfig { + return { ...INNER_GRAPH_CONFIG }; +} + +/** + * Get edge path for inner graph visualization (smooth bezier curve). + * This creates curved edges similar to the main canvas. + */ +export function getInnerEdgePath( + sourceX: number, + sourceY: number, + targetX: number, + targetY: number +): string { + // Calculate control points for smooth bezier curve + const dx = targetX - sourceX; + const dy = targetY - sourceY; + + // Control point offset based on distance + const cpOffset = Math.min(Math.abs(dx) * 0.4, 80); + + // Control points for horizontal flow + const cp1x = sourceX + cpOffset; + const cp1y = sourceY; + const cp2x = targetX - cpOffset; + const cp2y = targetY; + + return `M ${sourceX} ${sourceY} C ${cp1x} ${cp1y}, ${cp2x} ${cp2y}, ${targetX} ${targetY}`; +} diff --git a/studio/frontend/src/routes/+layout.ts b/studio/frontend/src/routes/+layout.ts new file mode 100644 index 00000000..cfc7ee66 --- /dev/null +++ b/studio/frontend/src/routes/+layout.ts @@ -0,0 +1,8 @@ +// This file configures the static adapter behavior for SvelteKit +// The app is a SPA (Single Page Application) that makes API calls + +// Disable server-side rendering - this is a client-only SPA +export const ssr = false; + +// Enable prerendering for the fallback page +export const prerender = true; diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index b58ac4ff..eade4b41 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -144,6 +144,33 @@ ); let showRunModal = $derived(uiStore.showRunModal); + + // Node navigation - get sorted list of node IDs for prev/next navigation + let sortedNodeIds = $derived(() => { + if (!currentWorkflow) return []; + // Sort nodes by position (top to bottom, left to right) + return [...currentWorkflow.nodes] + .sort((a, b) => { + const posA = a.position || { x: 0, y: 0 }; + const posB = b.position || { x: 0, y: 0 }; + // Primary sort by Y (top to bottom), secondary by X (left to right) + if (Math.abs(posA.y - posB.y) > 50) return posA.y - posB.y; + return posA.x - posB.x; + }) + .map(n => n.id); + }); + + // Navigation state for selected node + let selectedNodeIndex = $derived(() => { + if (!selectedNodeId) return -1; + return sortedNodeIds().indexOf(selectedNodeId); + }); + + let hasPreviousNode = $derived(() => selectedNodeIndex() > 0); + let hasNextNode = $derived(() => { + const ids = sortedNodeIds(); + return selectedNodeIndex() >= 0 && selectedNodeIndex() < ids.length - 1; + }); let codePanelCollapsed = $state(true); // Start collapsed by default let sygraFlowRef = $state<{ applyAutoLayout: () => Promise } | undefined>(undefined); let selectedEdge = $state<{ @@ -375,6 +402,67 @@ uiStore.selectNode(null); } + // Node navigation handlers + function handleNavigateToPreviousNode() { + const ids = sortedNodeIds(); + const currentIndex = selectedNodeIndex(); + if (currentIndex > 0) { + uiStore.selectNode(ids[currentIndex - 1]); + } + } + + function handleNavigateToNextNode() { + const ids = sortedNodeIds(); + const currentIndex = selectedNodeIndex(); + if (currentIndex >= 0 && currentIndex < ids.length - 1) { + uiStore.selectNode(ids[currentIndex + 1]); + } + } + + function handleNavigateToNode(event: CustomEvent) { + const nodeId = event.detail; + uiStore.selectNode(nodeId); + selectedEdge = null; + } + + function handleDuplicateNode(event: CustomEvent) { + const nodeId = event.detail; + const node = currentWorkflow?.nodes.find(n => n.id === nodeId); + if (!node || !currentWorkflow) return; + + // Generate incremental ID for the duplicate node + const nodeType = node.node_type; + const existingIds = currentWorkflow.nodes + .filter(n => n.id.startsWith(`${nodeType}_`)) + .map(n => { + const match = n.id.match(new RegExp(`^${nodeType}_(\\d+)$`)); + return match ? parseInt(match[1], 10) : 0; + }); + const nextNum = existingIds.length > 0 ? Math.max(...existingIds) + 1 : 1; + const newId = `${nodeType}_${nextNum}`; + + const newNode = { + ...structuredClone(node), + id: newId, + summary: `${node.summary} (Copy)`, + position: node.position ? { + x: node.position.x + 100, + y: node.position.y + 50 + } : undefined + }; + + // Add the duplicated node to the workflow + workflowStore.updateNode(newId, newNode); + + // Sync the builder UI + if (workflowBuilderRef) { + workflowBuilderRef.syncNodesFromStore(); + } + + // Select the new node + uiStore.selectNode(newId); + } + // Handle YAML saved in code panel - reload workflow and sync visual UI async function handleYamlSaved() { console.log('[handleYamlSaved] YAML saved, reloading workflow...'); @@ -421,9 +509,16 @@ this={NodeDetailsPanel} node={selectedNode} startInEditMode={true} + showNavigation={true} + hasPrevious={hasPreviousNode()} + hasNext={hasNextNode()} + onPrevious={handleNavigateToPreviousNode} + onNext={handleNavigateToNextNode} + onDuplicate={() => handleDuplicateNode({ detail: selectedNodeId } as CustomEvent)} on:close={() => uiStore.selectNode(null)} on:save={handleBuilderNodeSave} on:delete={handleBuilderNodeDelete} + on:navigate={handleNavigateToNode} /> {/if} {:else if selectedEdge && currentWorkflow && EdgeDetailsPanel} @@ -436,6 +531,7 @@ on:close={() => selectedEdge = null} on:update={handleBuilderEdgeUpdate} on:delete={handleBuilderEdgeDelete} + on:navigate={handleNavigateToNode} /> {/if}
@@ -634,7 +730,13 @@ this={NodeDetailsPanel} node={currentWorkflow.nodes.find(n => n.id === selectedNodeId)} nodeState={currentExecution?.node_states[selectedNodeId]} + showNavigation={true} + hasPrevious={hasPreviousNode()} + hasNext={hasNextNode()} + onPrevious={handleNavigateToPreviousNode} + onNext={handleNavigateToNextNode} on:close={() => uiStore.selectNode(null)} + on:navigate={handleNavigateToNode} /> {/if} @@ -647,6 +749,7 @@ sourceNode={currentWorkflow.nodes.find(n => n.id === edge.source)} targetNode={currentWorkflow.nodes.find(n => n.id === edge.target)} on:close={() => selectedEdge = null} + on:navigate={handleNavigateToNode} /> {/if}
diff --git a/studio/frontend/static/favicon.png b/studio/frontend/static/favicon.png new file mode 100644 index 0000000000000000000000000000000000000000..08cd6f2bfd1b53ec5a4db72bed55f40907e8bdfa GIT binary patch literal 70 zcmeAS@N?(olHy`uVBq!ia0vp^j3CUx1|;Q0k92}1TpU9xZY8JuI3K{zz}&{z5M@%E Q4U}N;boFyt=akR{0J Optional[InnerGraph]: + """ + Parse inline inner_graph data from YAML config. + + This handles subgraphs that were created by grouping nodes in the builder + and saved inline in the workflow config. + """ + try: + name = inner_graph_data.get("name", "Subgraph") + nodes_config = inner_graph_data.get("nodes", {}) + edges_config = inner_graph_data.get("edges", []) + + # Build inner nodes + inner_nodes = [] + for node_id, node_config in nodes_config.items(): + # Parse node type + node_type_str = node_config.get("node_type", "llm") + try: + node_type = NodeType(node_type_str) + except ValueError: + node_type = NodeType.LLM + + # Parse position + pos_data = node_config.get("position", {}) + position = NodePosition( + x=pos_data.get("x", 0), + y=pos_data.get("y", 0) + ) + + # Parse size + size_data = node_config.get("size", {}) + size = NodeSize( + width=size_data.get("width", 150), + height=size_data.get("height", 60) + ) + + # Handle nested inner_graph recursively + nested_inner_graph = None + if node_config.get("inner_graph") and depth < max_depth: + nested_inner_graph = self._parse_inline_inner_graph( + node_config["inner_graph"], + depth + 1, + max_depth + ) + + inner_node = WorkflowNode( + id=node_id, + node_type=node_type, + summary=node_config.get("summary", node_id.replace("_", " ").title()), + position=position, + size=size, + inner_graph=nested_inner_graph, + ) + inner_nodes.append(inner_node) + + # Build inner edges + inner_edges = [] + for idx, edge_config in enumerate(edges_config): + source = edge_config.get("from", "") + target = edge_config.get("to", "") + if source and target: + edge_id = f"inner_edge_{source}_{target}_{idx}" + inner_edges.append(WorkflowEdge( + id=edge_id, + source=source, + target=target, + edge_type="default", + )) + + return InnerGraph( + name=name, + nodes=inner_nodes, + edges=inner_edges, + ) + + except Exception as e: + print(f"Warning: Could not parse inline inner_graph: {e}") + return None + def _build_inner_edges( self, edges_config: List[Dict[str, Any]], @@ -493,16 +588,23 @@ def _calculate_inner_layout( self, nodes: List[WorkflowNode], edges: List[WorkflowEdge] - ) -> None: - """Calculate layout for inner subgraph nodes with smaller spacing.""" + ) -> Tuple[int, int]: + """ + Calculate layout for inner subgraph nodes with smaller spacing. + + Returns: + Tuple of (width, height) - the bounding dimensions of the inner graph + """ if not nodes: - return + return (200, 60) # Minimum dimensions - # Use smaller spacing for inner graphs - inner_h_spacing = 180 - inner_v_spacing = 80 - inner_start_x = 20 - inner_start_y = 20 + # Use compact spacing for inner graphs (matching frontend layoutUtils.ts) + inner_node_width = 140 + inner_node_height = 44 + inner_h_spacing = 30 + inner_v_spacing = 20 + inner_start_x = 0 # No start offset - padding applied separately + inner_start_y = 0 # Build adjacency adjacency: Dict[str, List[str]] = {node.id: [] for node in nodes} @@ -515,7 +617,7 @@ def _calculate_inner_layout( reverse_adj[edge.target].append(edge.source) in_degree[edge.target] += 1 - # Layer assignment + # Layer assignment using topological sort layers: Dict[int, List[str]] = {} node_layer: Dict[str, int] = {} queue = [nid for nid, deg in in_degree.items() if deg == 0] @@ -526,6 +628,8 @@ def _calculate_inner_layout( while queue: current = queue.pop(0) + if current in node_layer: + continue pred_layers = [node_layer.get(p, -1) for p in reverse_adj.get(current, [])] layer = max(pred_layers, default=-1) + 1 @@ -536,10 +640,10 @@ def _calculate_inner_layout( for successor in adjacency.get(current, []): in_degree[successor] -= 1 - if in_degree[successor] == 0 and successor not in node_layer: + if in_degree[successor] <= 0 and successor not in node_layer: queue.append(successor) - # Handle remaining nodes + # Handle remaining nodes (cycles or disconnected) for node in nodes: if node.id not in node_layer: max_layer = max(layers.keys()) if layers else 0 @@ -548,18 +652,35 @@ def _calculate_inner_layout( layers[max_layer + 1] = [] layers[max_layer + 1].append(node.id) - # Assign positions + # Calculate positions with proper vertical centering + max_layer_size = max(len(l) for l in layers.values()) if layers else 1 + total_layer_height = max_layer_size * (inner_node_height + inner_v_spacing) + + max_x = 0 + max_y = 0 + for layer_idx, layer_nodes in sorted(layers.items()): + # Center this layer vertically + layer_height = len(layer_nodes) * (inner_node_height + inner_v_spacing) + start_y = inner_start_y + (total_layer_height - layer_height) / 2 + for node_idx, node_id in enumerate(layer_nodes): - x = inner_start_x + (layer_idx * inner_h_spacing) - y = inner_start_y + (node_idx * inner_v_spacing) + x = inner_start_x + (layer_idx * (inner_node_width + inner_h_spacing)) + y = start_y + (node_idx * (inner_node_height + inner_v_spacing)) for node in nodes: if node.id == node_id: node.position = NodePosition(x=x, y=y) - node.size = NodeSize(width=150, height=60) + node.size = NodeSize(width=inner_node_width, height=inner_node_height) + + # Track max dimensions + max_x = max(max_x, x + inner_node_width) + max_y = max(max_y, y + inner_node_height) break + # Return content dimensions (padding applied by caller) + return (max_x, max_y) + def _parse_prompts(self, prompt_config: List[Dict[str, str]]) -> List[PromptMessage]: """Parse prompt configuration into PromptMessage objects.""" messages = [] diff --git a/studio/models.py b/studio/models.py index 86479561..59b3a0b0 100644 --- a/studio/models.py +++ b/studio/models.py @@ -91,6 +91,7 @@ class WorkflowNode(BaseModel): # For subgraph nodes subgraph_path: Optional[str] = None inner_graph: Optional["InnerGraph"] = None # Expanded subgraph contents + node_config_map: Optional[Dict[str, Dict[str, Any]]] = None # Override configs for inner nodes # For lambda nodes function_path: Optional[str] = None diff --git a/sygra/metadata/metadata_collector.py b/sygra/metadata/metadata_collector.py index e6e4cf03..aa1dd28a 100644 --- a/sygra/metadata/metadata_collector.py +++ b/sygra/metadata/metadata_collector.py @@ -389,6 +389,7 @@ class ExecutionContext: git_commit_hash: Optional[str] = None git_branch: Optional[str] = None git_is_dirty: bool = False + git_remote_url: Optional[str] = None # Timing start_time: Optional[datetime] = None @@ -416,6 +417,7 @@ def to_dict(self) -> dict[str, Any]: "commit_hash": self.git_commit_hash, "branch": self.git_branch, "is_dirty": self.git_is_dirty, + "remote_url": self.git_remote_url, }, "timing": { "start_time": self.start_time.isoformat() if self.start_time else None, @@ -596,6 +598,17 @@ def _capture_git_info(self): ) self.execution_context.git_is_dirty = result_dirty.returncode != 0 + # Get git remote URL (origin) + result = subprocess.run( + ["git", "config", "--get", "remote.origin.url"], + capture_output=True, + text=True, + timeout=2, + check=False, + ) + if result.returncode == 0: + self.execution_context.git_remote_url = result.stdout.strip() + except Exception as e: logger.debug(f"Could not capture git info: {e}") From 34683fb31397d9b3ef5c255a320c3d3087d625da Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Wed, 31 Dec 2025 13:40:16 +0530 Subject: [PATCH 09/20] feat: multi-source data, inline preview, transforms, and global editor themes --- studio/api.py | 52 +- studio/converter.py | 3 + .../components/builder/WorkflowBuilder.svelte | 9 +- .../components/code/WorkflowCodePanel.svelte | 2 - .../components/common/SelectionCard.svelte | 73 + .../common/VisualSelectionCard.svelte | 105 + .../components/data/DataConfigSection.svelte | 96 + .../components/data/DataPreviewPanel.svelte | 316 +++ .../components/data/DataSourcePanel.svelte | 2 - .../components/data/JoinTypeSelector.svelte | 194 ++ .../components/data/MultiSourceManager.svelte | 258 ++ .../lib/components/data/SinkManager.svelte | 307 +++ .../src/lib/components/data/SourceCard.svelte | 281 +++ .../lib/components/data/SourceEditor.svelte | 532 +++++ .../lib/components/data/SourcePreview.svelte | 245 ++ .../components/data/SourceTypeSelector.svelte | 80 + .../lib/components/data/TransformCard.svelte | 219 ++ .../components/data/TransformPipeline.svelte | 197 ++ .../components/data/TransformSelector.svelte | 349 +++ .../data/transforms/AddNewFieldEditor.svelte | 178 ++ .../transforms/CartesianProductEditor.svelte | 163 ++ .../transforms/CombineRecordsEditor.svelte | 235 ++ .../transforms/CustomTransformEditor.svelte | 322 +++ .../transforms/MediaTransformEditor.svelte | 150 ++ .../data/transforms/RenameFieldsEditor.svelte | 148 ++ .../data/transforms/SkipRecordsEditor.svelte | 156 ++ .../components/editor/LazyMonacoEditor.svelte | 5 +- .../lib/components/editor/MonacoEditor.svelte | 73 +- .../components/graph/EdgeDetailsPanel.svelte | 1 - .../components/graph/NodeDetailsPanel.svelte | 2117 ++++++++++++----- .../src/lib/components/graph/SygraFlow.svelte | 40 +- .../graph/renderers/nodes/AgentNode.svelte | 138 +- .../graph/renderers/nodes/MultiLLMNode.svelte | 69 + .../nodes/icons/StackedBotsIcon.svelte | 21 + .../lib/components/library/LibraryView.svelte | 2 +- .../lib/components/library/ToolLibrary.svelte | 1 - .../components/panel/ConnectionPreview.svelte | 99 +- .../components/settings/SettingsModal.svelte | 276 ++- .../frontend/src/lib/stores/theme.svelte.ts | 522 +++- .../src/lib/stores/workflow.svelte.ts | 251 +- studio/graph_builder.py | 14 +- studio/models.py | 5 + 42 files changed, 7459 insertions(+), 847 deletions(-) create mode 100644 studio/frontend/src/lib/components/common/SelectionCard.svelte create mode 100644 studio/frontend/src/lib/components/common/VisualSelectionCard.svelte create mode 100644 studio/frontend/src/lib/components/data/DataConfigSection.svelte create mode 100644 studio/frontend/src/lib/components/data/DataPreviewPanel.svelte create mode 100644 studio/frontend/src/lib/components/data/JoinTypeSelector.svelte create mode 100644 studio/frontend/src/lib/components/data/MultiSourceManager.svelte create mode 100644 studio/frontend/src/lib/components/data/SinkManager.svelte create mode 100644 studio/frontend/src/lib/components/data/SourceCard.svelte create mode 100644 studio/frontend/src/lib/components/data/SourceEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/SourcePreview.svelte create mode 100644 studio/frontend/src/lib/components/data/SourceTypeSelector.svelte create mode 100644 studio/frontend/src/lib/components/data/TransformCard.svelte create mode 100644 studio/frontend/src/lib/components/data/TransformPipeline.svelte create mode 100644 studio/frontend/src/lib/components/data/TransformSelector.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/AddNewFieldEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/CartesianProductEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/CombineRecordsEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/CustomTransformEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/MediaTransformEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/RenameFieldsEditor.svelte create mode 100644 studio/frontend/src/lib/components/data/transforms/SkipRecordsEditor.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/MultiLLMNode.svelte create mode 100644 studio/frontend/src/lib/components/graph/renderers/nodes/icons/StackedBotsIcon.svelte diff --git a/studio/api.py b/studio/api.py index f5a0a58a..a3615611 100644 --- a/studio/api.py +++ b/studio/api.py @@ -791,7 +791,8 @@ async def list_workflows(): """ List all available SyGra workflows. - Scans the tasks directory for graph_config.yaml files. + Recursively scans the tasks directory for graph_config.yaml files, + supporting nested folder structures. """ workflows = [] tasks_dir = Path(app.state.tasks_dir) @@ -799,12 +800,9 @@ async def list_workflows(): if not tasks_dir.exists(): return workflows - for task_dir in tasks_dir.iterdir(): - if not task_dir.is_dir(): - continue - - config_path = task_dir / "graph_config.yaml" - if not config_path.exists(): + # Recursively find all graph_config.yaml files + for config_path in tasks_dir.rglob("graph_config.yaml"): + if not config_path.is_file(): continue try: @@ -867,13 +865,14 @@ async def get_workflow_openflow(workflow_id: str): return openflow @app.get("/api/workflows/{workflow_id}/sample-data") - async def get_workflow_sample_data(workflow_id: str, limit: int = 3): + async def get_workflow_sample_data(workflow_id: str, limit: int = 3, source_index: int = 0): """ - Get sample data records from the workflow's data source. + Get sample data records from a workflow's data source. Args: workflow_id: The workflow ID. limit: Maximum number of records to return (default: 3). + source_index: Index of the source to preview (default: 0, first source). Returns: Sample data records and metadata. @@ -897,7 +896,19 @@ async def get_workflow_sample_data(workflow_id: str, limit: int = 3): source = data_config.get("source", {}) # Handle array or single source if isinstance(source, list): - source = source[0] if source else {} + if source_index < 0 or source_index >= len(source): + return { + "records": [], + "total": 0, + "message": f"Invalid source index {source_index}. Available: 0-{len(source)-1}" if source else "No sources configured" + } + source = source[source_index] if source else {} + elif source_index > 0: + return { + "records": [], + "total": 0, + "message": f"Only one source configured (index 0)" + } source_type = (source.get("type") or "").lower() @@ -1326,24 +1337,31 @@ async def delete_multiple_executions(execution_ids: List[str]): @app.get("/api/tasks") async def list_task_directories(): - """List available task directories for workflow discovery.""" + """ + List available task directories for workflow discovery. + + Recursively scans the tasks directory for folders containing + graph_config.yaml files, supporting nested folder structures. + """ tasks_dir = Path(app.state.tasks_dir) if not tasks_dir.exists(): return [] tasks = [] - for task_dir in tasks_dir.iterdir(): - if not task_dir.is_dir(): + # Recursively find all graph_config.yaml files and get their parent directories + for config_path in tasks_dir.rglob("graph_config.yaml"): + if not config_path.is_file(): continue - config_path = task_dir / "graph_config.yaml" - has_config = config_path.exists() + task_dir = config_path.parent + # Create a relative name from the tasks_dir for better display + relative_path = task_dir.relative_to(tasks_dir) tasks.append({ - "name": task_dir.name, + "name": str(relative_path), # e.g., "structured_output_with_multi_llm/dpo_samples" "path": str(task_dir), - "has_workflow": has_config, + "has_workflow": True, # We only include dirs with graph_config.yaml }) return tasks diff --git a/studio/converter.py b/studio/converter.py index 6ca228c4..0ba68672 100644 --- a/studio/converter.py +++ b/studio/converter.py @@ -17,6 +17,9 @@ class SygraToStudioConverter: # Map SyGra node types to Studio module types MODULE_TYPE_MAP = { NodeType.LLM: "rawscript", + NodeType.MULTI_LLM: "rawscript", + NodeType.AGENT: "rawscript", + NodeType.WEB_AGENT: "rawscript", NodeType.LAMBDA: "rawscript", NodeType.SUBGRAPH: "flow", NodeType.WEIGHTED_SAMPLER: "rawscript", diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index 87282740..29886c44 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -22,7 +22,7 @@ Play, Square, Bot, Zap, Boxes, GitBranch, Shuffle, Save, X, Database, Download, GripVertical, LayoutGrid, Group, Search, ChevronDown, ChevronRight, Sparkles, FilePlus2, Trash2, MousePointerClick, - Map as MapIcon, EyeOff + Map as MapIcon, EyeOff, GitCompareArrows } from 'lucide-svelte'; // Node components @@ -35,6 +35,7 @@ import OutputNode from '../graph/renderers/nodes/OutputNode.svelte'; import WeightedSamplerNode from '../graph/renderers/nodes/WeightedSamplerNode.svelte'; import AgentNode from '../graph/renderers/nodes/AgentNode.svelte'; + import MultiLLMNode from '../graph/renderers/nodes/MultiLLMNode.svelte'; // Edge component import SygraEdge from '../graph/renderers/edges/SygraEdge.svelte'; @@ -239,7 +240,8 @@ lambda: LambdaNode, subgraph: SubgraphNode, weighted_sampler: WeightedSamplerNode, - agent: AgentNode + agent: AgentNode, + multi_llm: MultiLLMNode } as unknown as NodeTypes; const edgeTypes = { @@ -256,7 +258,8 @@ lambda: Zap, subgraph: Boxes, weighted_sampler: Shuffle, - agent: Sparkles + agent: Sparkles, + multi_llm: GitCompareArrows }; // Search and category state for palette diff --git a/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte index b52cfcb8..653050bf 100644 --- a/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte +++ b/studio/frontend/src/lib/components/code/WorkflowCodePanel.svelte @@ -1061,7 +1061,6 @@ bind:value={yamlContent} language="yaml" readonly={false} - theme="vs-dark" height={editorHeight} minimap={false} lineNumbers={true} @@ -1216,7 +1215,6 @@ value={codeFiles[selectedCodeFile]?.content || ''} language="python" readonly={false} - theme="vs-dark" height={editorHeight} minimap={false} lineNumbers={true} diff --git a/studio/frontend/src/lib/components/common/SelectionCard.svelte b/studio/frontend/src/lib/components/common/SelectionCard.svelte new file mode 100644 index 00000000..ccfffb97 --- /dev/null +++ b/studio/frontend/src/lib/components/common/SelectionCard.svelte @@ -0,0 +1,73 @@ + + + diff --git a/studio/frontend/src/lib/components/common/VisualSelectionCard.svelte b/studio/frontend/src/lib/components/common/VisualSelectionCard.svelte new file mode 100644 index 00000000..ecd837e9 --- /dev/null +++ b/studio/frontend/src/lib/components/common/VisualSelectionCard.svelte @@ -0,0 +1,105 @@ + + + diff --git a/studio/frontend/src/lib/components/data/DataConfigSection.svelte b/studio/frontend/src/lib/components/data/DataConfigSection.svelte new file mode 100644 index 00000000..85a2a35f --- /dev/null +++ b/studio/frontend/src/lib/components/data/DataConfigSection.svelte @@ -0,0 +1,96 @@ + + +
+ + + + + {#if hasSource || isEditing} + + {/if} + + + {#if hasSource || isEditing} + + {/if} +
diff --git a/studio/frontend/src/lib/components/data/DataPreviewPanel.svelte b/studio/frontend/src/lib/components/data/DataPreviewPanel.svelte new file mode 100644 index 00000000..df089991 --- /dev/null +++ b/studio/frontend/src/lib/components/data/DataPreviewPanel.svelte @@ -0,0 +1,316 @@ + + +
+ +
isExpanded = !isExpanded} + onkeydown={(e) => { if (e.key === 'Enter' || e.key === ' ') isExpanded = !isExpanded; }} + class="w-full flex items-center justify-between px-5 py-4 bg-gradient-to-r from-gray-50 to-white dark:from-gray-800 dark:to-gray-900 hover:from-gray-100 hover:to-gray-50 dark:hover:from-gray-750 dark:hover:to-gray-800 transition-colors cursor-pointer" + > +
+
+ +
+
+
+ Sample Data Preview +
+
+ {#if loading} + Loading data... + {:else if hasData} + {columns.length} columns, {data?.records?.length || 0} of {(data?.total ?? data?.records?.length ?? 0).toLocaleString()} rows + {:else if !hasSource} + Configure a data source first + {:else} + Click to preview sample data + {/if} +
+
+
+
+ {#if isExpanded && hasSource} + {#if hasData} + + {:else if !loading} + + {/if} + {/if} +
+ {#if isExpanded} + + {:else} + + {/if} +
+
+
+ + {#if isExpanded} +
+ {#if !hasSource} + +
+
+ +
+

+ No data source configured +

+

+ Add a data source to preview sample records from your dataset +

+
+ + {:else if loading} + +
+ + Loading sample data... +
+ + {:else if data?.message} + +
+
+ +

{data.message}

+
+
+ + {:else if hasData} + +
+ +
+
+
+ + {columns.length} columns +
+
+ + {data?.records?.length || 0} rows + {#if data?.total && data.total > (data?.records?.length || 0)} + of {data.total.toLocaleString()} + {/if} +
+
+
+ Click row to expand +
+
+ + +
+ + + + + {#each columns as col} + + {/each} + + + + {#if data?.records} + {#each data.records as record, i} + + toggleRowExpand(i)} + > + + {#each columns as col} + {@const formatted = formatValue(record[col])} + + {/each} + + + + {#if expandedRows.has(i)} + + + + {/if} + {/each} + {/if} + +
+ # + + {col} +
+ + + {i + 1} + + + {#if formatted.type === 'null'} + null + {:else if formatted.type === 'boolean'} + + {formatted.display} + + {:else if formatted.type === 'number'} + {formatted.display} + {:else if formatted.type === 'object'} + {formatted.display} + {:else} + {formatted.display} + {/if} +
+
+ {#each columns as col} + {@const value = record[col]} + {@const formatted = formatValue(value)} +
+ + {col} + +
+ {#if formatted.type === 'null'} + null + {:else if formatted.type === 'boolean'} + + {formatted.display} + + {:else if formatted.type === 'number'} + {value} + {:else if formatted.type === 'object'} +
{formatted.full}
+ {:else} +
+ {formatted.full || formatted.display} +
+ {/if} +
+
+ {/each} +
+
+
+
+ + {:else} + +
+
+ +
+

+ Ready to preview data +

+

+ Click the button below to load a sample of records from your data source +

+ +
+ {/if} +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/DataSourcePanel.svelte b/studio/frontend/src/lib/components/data/DataSourcePanel.svelte index bd461fa2..13686605 100644 --- a/studio/frontend/src/lib/components/data/DataSourcePanel.svelte +++ b/studio/frontend/src/lib/components/data/DataSourcePanel.svelte @@ -726,7 +726,6 @@ bind:value={transformationCodes[index]} language="python" height="180px" - theme="vs-dark" fontSize={12} readonly={!isEditing} on:change={markChanged} @@ -776,7 +775,6 @@ value={transformationCodes[index] || `# Transform: ${transform.transform}\n# Params: ${JSON.stringify(transform.params || {}, null, 2)}`} language="python" height="180px" - theme="vs-dark" fontSize={12} readonly={true} /> diff --git a/studio/frontend/src/lib/components/data/JoinTypeSelector.svelte b/studio/frontend/src/lib/components/data/JoinTypeSelector.svelte new file mode 100644 index 00000000..6e313e0d --- /dev/null +++ b/studio/frontend/src/lib/components/data/JoinTypeSelector.svelte @@ -0,0 +1,194 @@ + + +
+ {#each joinTypes as jt} + {@const Icon = jt.icon} + {@const isSelected = value === jt.value} + + {/each} +
diff --git a/studio/frontend/src/lib/components/data/MultiSourceManager.svelte b/studio/frontend/src/lib/components/data/MultiSourceManager.svelte new file mode 100644 index 00000000..621f8480 --- /dev/null +++ b/studio/frontend/src/lib/components/data/MultiSourceManager.svelte @@ -0,0 +1,258 @@ + + +
+ +
isExpanded = !isExpanded} + onkeydown={(e) => { if (e.key === 'Enter' || e.key === ' ') isExpanded = !isExpanded; }} + class="flex items-center justify-between px-3 py-2.5 bg-gray-50 dark:bg-gray-800 hover:bg-gray-100 dark:hover:bg-gray-750 transition-colors cursor-pointer" + > +
+
+ {#if isMultiSource} + + {:else} + + {/if} +
+
+
+ Data Source{isMultiSource ? 's' : ''} +
+
+ {#if sources.length === 0} + Not configured + {:else} + {sources.length} source{sources.length !== 1 ? 's' : ''} + {/if} +
+
+
+
+ {#if isEditing && isExpanded} + + {/if} +
+ {#if isExpanded}{:else}{/if} +
+
+
+ + {#if isExpanded} +
+ {#if sources.length === 0} + +
+ +

No data sources configured

+ {#if isEditing} + + {/if} +
+ {:else} + + {#if isMultiSource && isEditing} +
+
+ + +
+ +
+ {:else if isMultiSource && idColumn} +
+ + ID: + {idColumn} +
+ {/if} + + +
+ {#each sources as source, index} + {@const isPrimary = source.join_type === 'primary'} + handleEditSource(index)} + on:remove={() => handleRemoveSource(index)} + on:makePrimary={() => handleMakePrimary(index)} + on:previewFetch={handlePreviewFetch} + on:previewRefresh={handlePreviewRefresh} + /> + {/each} +
+ + + {#if isEditing} + + {/if} + {/if} +
+ {/if} +
+ + + 0} + open={showEditor} + on:save={handleSaveSource} + on:close={() => { showEditor = false; editingIndex = null; }} +/> diff --git a/studio/frontend/src/lib/components/data/SinkManager.svelte b/studio/frontend/src/lib/components/data/SinkManager.svelte new file mode 100644 index 00000000..eee8b9de --- /dev/null +++ b/studio/frontend/src/lib/components/data/SinkManager.svelte @@ -0,0 +1,307 @@ + + +
+ +
isExpanded = !isExpanded} + onkeydown={(e) => { if (e.key === 'Enter' || e.key === ' ') isExpanded = !isExpanded; }} + class="flex items-center justify-between px-3 py-2.5 bg-gray-50 dark:bg-gray-800 hover:bg-gray-100 dark:hover:bg-gray-750 transition-colors cursor-pointer" + > +
+
+ +
+
+
+ Data Sink{isMultiSink ? 's' : ''} +
+
+ {sinks.length === 0 ? 'Optional' : `${sinks.length} configured`} +
+
+
+
+ {#if isEditing && isExpanded && !showEditor} + + {/if} +
+ {#if isExpanded}{:else}{/if} +
+
+
+ + {#if isExpanded} +
+ {#if showEditor} + +
+ +
+
Type
+
+ {#each Object.entries(sinkTypeConfig) as [type, config]} + {@const Icon = config.icon} + editType = type as SinkType} + /> + {/each} +
+
+ + + {#if isMultiSink || sinks.length > 0} +
+ + +
+ {/if} + + + {#if editType === 'disk' || editType === 'json' || editType === 'jsonl'} +
+ + +
+ {:else if editType === 'hf'} +
+
+ + +
+
+ + +
+
+ {:else if editType === 'servicenow'} +
+
+ + +
+
+ +
+ {#each ['insert', 'update'] as op} + + {/each} +
+
+
+ {/if} + + +
+ + +
+
+ {:else if sinks.length === 0} +
+ +

No sink configured (optional)

+ {#if isEditing} + + {/if} +
+ {:else} + +
+ {#each sinks as sink, index} + {@const config = sinkTypeConfig[sink.type] || sinkTypeConfig.disk} + {@const Icon = config.icon} +
+
+ +
+
+
+ + {sink.alias || config.label} + + {#if sink.alias} + {config.label} + {/if} + {#if sink.operation} + {sink.operation} + {/if} +
+
{getSinkDetail(sink)}
+
+ {#if isEditing} +
+ + +
+ {/if} +
+ {/each} +
+ + {#if isEditing} + + {/if} + {/if} +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/SourceCard.svelte b/studio/frontend/src/lib/components/data/SourceCard.svelte new file mode 100644 index 00000000..bf048ada --- /dev/null +++ b/studio/frontend/src/lib/components/data/SourceCard.svelte @@ -0,0 +1,281 @@ + + +
+
+ + +
+ +
+ +
+ + +
+
+ + {#if isPrimary} + + {/if} + + + + {#if showAlias && source.alias} + {source.alias} + {:else} + {config.label} + {/if} + + + + {#if showAlias && source.alias} + + {config.label} + + {/if} +
+ + +
+ {getSourceDetail()} +
+
+ + + {#if secondaryBadges.length > 0} +
+ {#each secondaryBadges.slice(0, 2) as badge} + + {badge} + + {/each} +
+ {/if} + + + {#if showJoinInfo && !isPrimary && source.join_type && source.join_type !== 'primary'} +
+ + {source.primary_key || 'key'}={source.join_key || 'key'} +
+ {/if} + + + {#if isEditing} +
+ {#if !isPrimary} + + {/if} + + {#if !isPrimary} + + {/if} +
+ {/if} + + + {#if showPreviewToggle && source.type} + + {/if} +
+ + + {#if showPreview} + + {/if} +
+
diff --git a/studio/frontend/src/lib/components/data/SourceEditor.svelte b/studio/frontend/src/lib/components/data/SourceEditor.svelte new file mode 100644 index 00000000..c9f01766 --- /dev/null +++ b/studio/frontend/src/lib/components/data/SourceEditor.svelte @@ -0,0 +1,532 @@ + + + + +{#if open} + +{/if} diff --git a/studio/frontend/src/lib/components/data/SourcePreview.svelte b/studio/frontend/src/lib/components/data/SourcePreview.svelte new file mode 100644 index 00000000..208625e9 --- /dev/null +++ b/studio/frontend/src/lib/components/data/SourcePreview.svelte @@ -0,0 +1,245 @@ + + +
+ {#if loading} + +
+ + Loading preview... +
+ + {:else if data?.message && !hasData} + +
+
+ +

{data.message}

+
+
+ + {:else if hasData} + +
+ +
+
+
+ + {columns.length} cols +
+
+ + {data?.records?.length || 0} + {#if totalDisplay()} + of {totalDisplay()} + {/if} +
+
+ +
+ + +
+ + + + + {#each columns as col} + + {/each} + + + + {#if data?.records} + {#each data.records as record, i} + + toggleRowExpand(i)} + > + + {#each columns as col} + {@const formatted = formatValue(record[col])} + + {/each} + + + + {#if expandedRows.has(i)} + + + + {/if} + {/each} + {/if} + +
+ # + + {col} +
+ + + {i + 1} + + + {#if formatted.type === 'null'} + null + {:else if formatted.type === 'boolean'} + + {formatted.display} + + {:else if formatted.type === 'number'} + {formatted.display} + {:else if formatted.type === 'object'} + {formatted.display} + {:else} + {formatted.display} + {/if} +
+
+ {#each columns as col} + {@const value = record[col]} + {@const formatted = formatValue(value)} +
+ + {col} + +
+ {#if formatted.type === 'null'} + null + {:else if formatted.type === 'boolean'} + + {formatted.display} + + {:else if formatted.type === 'number'} + {value} + {:else if formatted.type === 'object'} +
{formatted.full}
+ {:else} +
+ {formatted.full || formatted.display} +
+ {/if} +
+
+ {/each} +
+
+
+
+ + {:else} + +
+
+ +
+

+ Preview sample records from this source +

+ +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/SourceTypeSelector.svelte b/studio/frontend/src/lib/components/data/SourceTypeSelector.svelte new file mode 100644 index 00000000..68efbf14 --- /dev/null +++ b/studio/frontend/src/lib/components/data/SourceTypeSelector.svelte @@ -0,0 +1,80 @@ + + +
+ {#each sourceTypes as st} + {@const Icon = st.icon} + selectType(st.value)} + /> + {/each} +
diff --git a/studio/frontend/src/lib/components/data/TransformCard.svelte b/studio/frontend/src/lib/components/data/TransformCard.svelte new file mode 100644 index 00000000..86a31548 --- /dev/null +++ b/studio/frontend/src/lib/components/data/TransformCard.svelte @@ -0,0 +1,219 @@ + + +
dispatch('dragend')} + role="listitem" +> + +
+ + +
+ {index + 1} +
+ + +
+ +
+ + + + + +
+ {#if isEditing} + + + {/if} + +
+
+ + + {#if isExpanded} +
+ {#if !isEnabled} +
+ + Disabled - will be skipped +
+ {/if} + +
+ + Parameters +
+ + {#if shortName === 'SkipRecords'} + + {:else if shortName === 'CombineRecords'} + + {:else if shortName === 'RenameFieldsTransform'} + + {:else if shortName === 'AddNewFieldTransform'} + + {:else if shortName === 'CreateImageUrlTransform' || shortName === 'CreateAudioUrlTransform'} + + {:else if shortName === 'CartesianProductTransform'} + + {:else} + + {/if} +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/TransformPipeline.svelte b/studio/frontend/src/lib/components/data/TransformPipeline.svelte new file mode 100644 index 00000000..32e9e63e --- /dev/null +++ b/studio/frontend/src/lib/components/data/TransformPipeline.svelte @@ -0,0 +1,197 @@ + + +
+ +
isExpanded = !isExpanded} + onkeydown={(e) => { if (e.key === 'Enter' || e.key === ' ') isExpanded = !isExpanded; }} + class="flex items-center justify-between px-3 py-2.5 bg-gray-50 dark:bg-gray-800 hover:bg-gray-100 dark:hover:bg-gray-750 transition-colors cursor-pointer" + > +
+
+ +
+
+
Transforms
+
+ {#if transforms.length === 0} + None + {:else} + {enabledCount}/{transforms.length} active + {/if} +
+
+
+
+ {#if isEditing && isExpanded} + + {/if} +
+ {#if isExpanded}{:else}{/if} +
+
+
+ + {#if isExpanded} +
+ {#if transforms.length === 0} +
+ +

No transforms configured

+ {#if isEditing} + + {/if} +
+ {:else} +
+ {#each transforms as transform, index (transform.id)} + {#if dragOverIndex === index && draggedIndex !== null && draggedIndex !== index} +
+ {/if} + handleUpdateTransform(index, e.detail.transform)} + on:remove={() => handleRemoveTransform(index)} + on:toggle={() => handleToggleTransform(index)} + on:toggleEnabled={() => handleToggleEnabled(index)} + on:dragstart={(e) => handleDragStart(e.detail.index)} + on:dragover={(e) => handleDragOver(e.detail.index)} + on:dragend={handleDragEnd} + /> + {/each} +
+ + {#if isEditing} + + {/if} + {/if} +
+ {/if} +
+ + showSelector = false} /> diff --git a/studio/frontend/src/lib/components/data/TransformSelector.svelte b/studio/frontend/src/lib/components/data/TransformSelector.svelte new file mode 100644 index 00000000..da7f125e --- /dev/null +++ b/studio/frontend/src/lib/components/data/TransformSelector.svelte @@ -0,0 +1,349 @@ + + + + +{#if open} + + +{/if} diff --git a/studio/frontend/src/lib/components/data/transforms/AddNewFieldEditor.svelte b/studio/frontend/src/lib/components/data/transforms/AddNewFieldEditor.svelte new file mode 100644 index 00000000..05f5e124 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/AddNewFieldEditor.svelte @@ -0,0 +1,178 @@ + + +
+ +
+
+ + {#if isEditing} + + {/if} +
+ + {#if fields.length > 0} +
+ {#each fields as field, index} + {@const TypeIcon = getTypeIcon(field.valueType)} +
+ {#if isEditing} + updateField(index, 'fieldName', e.currentTarget.value)} + placeholder="field_name" + class="w-28 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + {#if field.valueType === 'boolean'} + + {:else} + updateField(index, 'value', e.currentTarget.value)} + placeholder={field.valueType === 'number' ? '0' : 'value'} + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + {/if} + + {:else} +
+ + {field.fieldName} + = + + {field.valueType === 'string' ? `"${field.value}"` : field.value} + + ({field.valueType}) +
+ {/if} +
+ {/each} +
+ {:else} +
+ {#if isEditing} + Click "Add Field" to define new fields with static values + {:else} + No fields defined + {/if} +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/data/transforms/CartesianProductEditor.svelte b/studio/frontend/src/lib/components/data/transforms/CartesianProductEditor.svelte new file mode 100644 index 00000000..41986734 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/CartesianProductEditor.svelte @@ -0,0 +1,163 @@ + + +
+ +
+ +
+

Cartesian Product Transform

+

+ Creates M x N combinations from horizontally stacked data. Define dataset groups by their column prefix and assign aliases for the output columns. +

+
+
+ + +
+
+ + {#if isEditing} + + {/if} +
+ + {#if datasets.length > 0} +
+ {#each datasets as dataset, index} +
+ {#if isEditing} +
+
+
+ + updateDataset(index, 'prefix', e.currentTarget.value)} + placeholder="a_" + class="w-full px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> +
+
+ + updateDataset(index, 'alias', e.currentTarget.value)} + placeholder="user" + class="w-full px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> +
+
+ +
+ {#if dataset.prefix && dataset.alias} +
+ {dataset.prefix}col1 + โ†’ + {dataset.alias}_col1 +
+ {/if} + {:else} +
+
+ Prefix: + {dataset.prefix} +
+
+ Alias: + {dataset.alias} +
+
+ {/if} +
+ {/each} +
+ + {#if datasets.length >= 2} +
+ + + Will generate {datasets.length > 2 ? 'multiple' : ''} combinations from {datasets.map(d => d.alias || '?').join(' ร— ')} datasets + +
+ {/if} + {:else} +
+ {#if isEditing} + Add at least 2 dataset groups to create cartesian products + {:else} + No dataset groups defined + {/if} +
+ {/if} +
+ + {#if isEditing} +
+ +
+

Example:

+

Input columns: a_col1, a_col2, b_col1, b_col2

+

With prefixes a_ โ†’ user and b_ โ†’ product

+

Output: user_col1, user_col2, product_col1, product_col2 with Mร—N rows

+
+
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/transforms/CombineRecordsEditor.svelte b/studio/frontend/src/lib/components/data/transforms/CombineRecordsEditor.svelte new file mode 100644 index 00000000..d2046b10 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/CombineRecordsEditor.svelte @@ -0,0 +1,235 @@ + + +
+ +
+
+ + {#if isEditing} + +

Records to merge

+ {:else} +
+ {combine} records +
+ {/if} +
+
+ + {#if isEditing} + +

Move forward by

+ {:else} +
+ {shift} +
+ {/if} +
+
+ + +
+ +
+
+ {#if isEditing} + +

From beginning

+ {:else if skipFromBeginning > 0} +
+ Skip {skipFromBeginning} from start +
+ {/if} +
+
+ {#if isEditing} + +

From end

+ {:else if skipFromEnd > 0} +
+ Skip {skipFromEnd} from end +
+ {/if} +
+
+
+ + +
+
+ + {#if isEditing} + + {/if} +
+ + {#if joinColumns.length > 0} +
+ {#each joinColumns as rule, index} +
+ {#if isEditing} + updateJoinColumn(index, 'column', e.currentTarget.value)} + placeholder="column_name" + class="w-28 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + updateJoinColumn(index, 'pattern', e.currentTarget.value)} + placeholder="$1\n\n$2" + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + {:else} + + {rule.column}: + {rule.pattern} + + {/if} +
+ {/each} +
+ {:else if !isEditing} +
No join rules defined (uses default merge)
+ {/if} + + {#if isEditing} +
+ +
+

Pattern syntax:

+
    +
  • $1 - First record's value
  • +
  • $2 - Second record's value
  • +
  • $1\n\n$2 - Join with newlines
  • +
  • $1-$2 - Join with dash
  • +
+
+
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/data/transforms/CustomTransformEditor.svelte b/studio/frontend/src/lib/components/data/transforms/CustomTransformEditor.svelte new file mode 100644 index 00000000..55960266 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/CustomTransformEditor.svelte @@ -0,0 +1,322 @@ + + +
+ + {#if isEditing} +
+ + +
+ {/if} + + {#if mode === 'module'} + +
+ +
+

Reference External Transform

+

+ Specify a Python transform class from your project's module path. +

+
+
+ + +
+ + {#if isEditing} + +

+ Full Python import path to your transform class +

+ {:else} + + {modulePath || 'Not specified'} + + {/if} +
+ + +
+
+ + {#if jsonError} + {jsonError} + {/if} +
+ {#if isEditing} +
+ handleParamsChange(e.detail)} + /> +
+ {:else} +
{paramsJson}
+ {/if} +
+ {:else} + +
+ +
+

Inline Transform Code

+

+ Write your DataTransform class directly. It will be saved with the workflow. +

+
+
+ + +
+ + + {#if codeExpanded} +
+ {#if isEditing} + handleCodeChange(e.detail)} + /> + {:else} + + {/if} +
+ {/if} +
+ + +
+
+ + {#if jsonError} + {jsonError} + {/if} +
+ {#if isEditing} +
+ handleParamsChange(e.detail)} + /> +
+

+ These parameters are passed to the transform method at runtime +

+ {:else} +
{paramsJson}
+ {/if} +
+ {/if} + + + {#if isEditing} +
+ +
+

Transform class requirements:

+
    +
  • โ€ข Must extend DataTransform from sygra.processors.data_transform
  • +
  • โ€ข Implement name property and transform(self, data, params) method
  • +
  • โ€ข Accept a list of records and return transformed records
  • +
+
+
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/transforms/MediaTransformEditor.svelte b/studio/frontend/src/lib/components/data/transforms/MediaTransformEditor.svelte new file mode 100644 index 00000000..a17bbb5e --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/MediaTransformEditor.svelte @@ -0,0 +1,150 @@ + + +
+ +
+ +
+ {#if type === 'image'} +

Image to URL Transform

+

+ Automatically detects image fields and converts them to base64 data URLs with proper MIME types. +

+ {:else} +

Audio to URL Transform

+

+ Converts audio data to base64 data URLs. Supports MP3, OGG, FLAC, AAC, M4A, AIFF, WAV formats. +

+ {/if} +
+
+ + {#if type === 'audio'} + +
+
+ + {#if isEditing} + + {/if} +
+ + {#if outputFields.length > 0} +
+ {#each outputFields as mapping, index} +
+ {#if isEditing} + updateOutputField(index, 'input', e.currentTarget.value)} + placeholder="input_field" + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + updateOutputField(index, 'output', e.currentTarget.value)} + placeholder="output_field" + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + {:else} + + {mapping.input} + + {mapping.output} + + {/if} +
+ {/each} +
+ {:else} +
+ {#if isEditing} + No custom output field mappings. Output fields will use the same name as input fields. + {:else} + Using default field names + {/if} +
+ {/if} +
+ {:else} + +
+ + This transform automatically processes all image fields with no additional configuration needed. +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/data/transforms/RenameFieldsEditor.svelte b/studio/frontend/src/lib/components/data/transforms/RenameFieldsEditor.svelte new file mode 100644 index 00000000..f01870e8 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/RenameFieldsEditor.svelte @@ -0,0 +1,148 @@ + + +
+ +
+
+ + {#if isEditing} + + {/if} +
+ + {#if mappings.length > 0} +
+ {#each mappings as mapping, index} +
+ {#if isEditing} + updateMapping(index, 'oldName', e.currentTarget.value)} + placeholder="old_field" + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + updateMapping(index, 'newName', e.currentTarget.value)} + placeholder="new_field" + class="flex-1 px-2 py-1.5 text-xs font-mono border border-gray-300 dark:border-gray-600 rounded bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100" + /> + + {:else} + + {mapping.oldName} + + {mapping.newName} + + {/if} +
+ {/each} +
+ {:else} +
+ {#if isEditing} + Click "Add Mapping" to define field renames + {:else} + No field mappings defined + {/if} +
+ {/if} +
+ + +
+ {#if isEditing} + +

+ If enabled, will overwrite if the new field name already exists +

+ {:else if overwrite} +
+ Overwrite mode: enabled +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/data/transforms/SkipRecordsEditor.svelte b/studio/frontend/src/lib/components/data/transforms/SkipRecordsEditor.svelte new file mode 100644 index 00000000..64c5acd7 --- /dev/null +++ b/studio/frontend/src/lib/components/data/transforms/SkipRecordsEditor.svelte @@ -0,0 +1,156 @@ + + +
+ +
+ + {#if isEditing} +
+ + +
+ {:else} +
+ {skipType === 'count' ? 'By Count' : 'By Range'} +
+ {/if} +
+ + {#if skipType === 'count'} + +
+
+ + {#if isEditing} + + {:else} +
+ {fromStart} records +
+ {/if} +
+
+ + {#if isEditing} + + {:else} +
+ {fromEnd} records +
+ {/if} +
+
+ {:else} + +
+ + {#if isEditing} + +
+ +
+

Range syntax (Python-like):

+
    +
  • [:10] - Skip first 10 records
  • +
  • [-10:] - Skip last 10 records
  • +
  • [5:15] - Skip records 5-14
  • +
  • Combine with comma: [:10],[-10:]
  • +
+
+
+ {:else} + + {range} + + {/if} +
+ {/if} +
diff --git a/studio/frontend/src/lib/components/editor/LazyMonacoEditor.svelte b/studio/frontend/src/lib/components/editor/LazyMonacoEditor.svelte index 5c68808f..19da6b65 100644 --- a/studio/frontend/src/lib/components/editor/LazyMonacoEditor.svelte +++ b/studio/frontend/src/lib/components/editor/LazyMonacoEditor.svelte @@ -1,10 +1,11 @@ -
- -
-
- -
-
-
- {data.label || 'Agent'} +
+ {#if data.model?.provider} +
+ + {data.model.provider} +
+ {/if} + {#if temperature !== undefined} +
+ + {temperature} +
+ {/if} + {#if toolCount > 0} +
+ + {toolCount} tool{toolCount !== 1 ? 's' : ''} +
+ {:else} +
+ No tools configured
- {#if data.model?.name} -
- {data.model.name} -
- {/if} -
+ {/if}
- - - {#if data.tools && data.tools.length > 0} -
- - - {data.tools.length} tool{data.tools.length !== 1 ? 's' : ''} - -
- {:else} -
- No tools attached -
- {/if} - - - {#if data.status} -
- {data.status} -
- {/if} -
- - - - - - - - - + diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/MultiLLMNode.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/MultiLLMNode.svelte new file mode 100644 index 00000000..a544a4d2 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/MultiLLMNode.svelte @@ -0,0 +1,69 @@ + + + +
+ {#if modelCount > 0} + {#each modelEntries.slice(0, 3) as [label, config]} +
+
+ + + {label} + +
+
+ + {config.name} + + {#if config.parameters?.temperature !== undefined} + + + {config.parameters.temperature} + + {/if} +
+
+ {/each} + {#if modelCount > 3} +
+ +{modelCount - 3} more model{modelCount - 3 !== 1 ? 's' : ''} +
+ {/if} + {:else} +
+ No models configured +
+ {/if} +
+
diff --git a/studio/frontend/src/lib/components/graph/renderers/nodes/icons/StackedBotsIcon.svelte b/studio/frontend/src/lib/components/graph/renderers/nodes/icons/StackedBotsIcon.svelte new file mode 100644 index 00000000..b324e509 --- /dev/null +++ b/studio/frontend/src/lib/components/graph/renderers/nodes/icons/StackedBotsIcon.svelte @@ -0,0 +1,21 @@ + + +
+ +
+ +
+ +
+ +
+
diff --git a/studio/frontend/src/lib/components/library/LibraryView.svelte b/studio/frontend/src/lib/components/library/LibraryView.svelte index f053bfca..1e029df9 100644 --- a/studio/frontend/src/lib/components/library/LibraryView.svelte +++ b/studio/frontend/src/lib/components/library/LibraryView.svelte @@ -687,7 +687,7 @@
- +
diff --git a/studio/frontend/src/lib/components/library/ToolLibrary.svelte b/studio/frontend/src/lib/components/library/ToolLibrary.svelte index 1159e9eb..b376fd97 100644 --- a/studio/frontend/src/lib/components/library/ToolLibrary.svelte +++ b/studio/frontend/src/lib/components/library/ToolLibrary.svelte @@ -455,7 +455,6 @@

diff --git a/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte b/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte index 823988db..3b5fdf7c 100644 --- a/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte +++ b/studio/frontend/src/lib/components/panel/ConnectionPreview.svelte @@ -1,6 +1,6 @@ -

- -
-
- - - Inputs ({incomingConnections().length}) - -
- - {#if incomingConnections().length === 0} -
- No incoming connections -
- {:else} -
+{#if totalConnections === 0} + +
+ + No connections +
+{:else} + +
+ + {#if incomingConnections().length > 0} +
+
+ + From +
{#each incomingConnections() as conn} {@const Icon = getIcon(conn.nodeType)} {@const color = getColor(conn.nodeType)} {/each}
{/if} -
- - -
-
- - - Outputs ({outgoingConnections().length}) - -
- {#if outgoingConnections().length === 0} -
- No outgoing connections -
- {:else} -
+ + {#if outgoingConnections().length > 0} +
+
+ + To +
{#each outgoingConnections() as conn} {@const Icon = getIcon(conn.nodeType)} {@const color = getColor(conn.nodeType)} {/each}
{/if}
-
+{/if} diff --git a/studio/frontend/src/lib/components/settings/SettingsModal.svelte b/studio/frontend/src/lib/components/settings/SettingsModal.svelte index 5291518c..b9b563d2 100644 --- a/studio/frontend/src/lib/components/settings/SettingsModal.svelte +++ b/studio/frontend/src/lib/components/settings/SettingsModal.svelte @@ -5,7 +5,7 @@ AlertCircle, CheckCircle, Key, FileText, Copy, Check, Sun, Moon, Monitor, Palette, Sliders, Info } from 'lucide-svelte'; - import { themeStore } from '$lib/stores/theme.svelte'; + import { themeStore, EDITOR_THEMES } from '$lib/stores/theme.svelte'; interface Props { onclose: () => void; @@ -51,6 +51,7 @@ // Theme let currentTheme = $derived(themeStore.theme); let isDark = $derived(themeStore.isDark); + let currentEditorTheme = $derived(themeStore.editorTheme); onMount(() => { loadEnvVars(); @@ -301,63 +302,240 @@ {#if activeTab === 'appearance'} -
+
+
-

Appearance

- -
+
+
+ +
- -
-
+ +
+ + - -
+ +
+
+ + Light +
+ {#if currentTheme === 'light'} +
+
- Dark - - - + + + + + + +
+ +
-

+ +

+
+ + System +
{#if currentTheme === 'system'} - Using system preference ({isDark ? 'dark' : 'light'} mode detected) - {:else} - Using {currentTheme} mode +
+ +
{/if} -

+
+ +
+ + {#if currentTheme === 'system'} +

+ + Currently using {isDark ? 'dark' : 'light'} mode based on system preference +

+ {/if} +
+ + +
+
+
+ + + +
+
+

Code Editor Theme

+

Syntax highlighting for all code editors

+
+
+ + +
+ {#each EDITOR_THEMES as editorTheme} + + {/each}
diff --git a/studio/frontend/src/lib/stores/theme.svelte.ts b/studio/frontend/src/lib/stores/theme.svelte.ts index 81569609..31d76dc9 100644 --- a/studio/frontend/src/lib/stores/theme.svelte.ts +++ b/studio/frontend/src/lib/stores/theme.svelte.ts @@ -1,19 +1,498 @@ /** - * Theme Store - Manages dark/light mode with localStorage persistence + * Theme Store - Manages dark/light mode and editor theme with localStorage persistence */ const STORAGE_KEY = 'sygra-studio-theme'; +const EDITOR_THEME_STORAGE_KEY = 'sygra-studio-editor-theme'; type Theme = 'light' | 'dark' | 'system'; +// Monaco Editor themes - includes built-in and custom themes +export type EditorTheme = + | 'vs' | 'vs-dark' | 'hc-black' | 'hc-light' // Built-in + | 'monokai' | 'dracula' | 'github-dark' | 'github-light' // Popular dark/light + | 'solarized-dark' | 'solarized-light' // Solarized + | 'nord' | 'one-dark-pro' | 'tokyo-night'; // Modern favorites + +export interface EditorThemeConfig { + id: EditorTheme; + name: string; + description: string; + category: 'light' | 'dark' | 'high-contrast'; + base: 'vs' | 'vs-dark' | 'hc-black' | 'hc-light'; // Monaco base theme + preview: { + bg: string; + border: string; + gutter: string; + text: string; + keyword: string; + string: string; + comment: string; + function: string; + lineNumber: string; + }; + // Monaco theme definition for custom themes + themeData?: { + base: 'vs' | 'vs-dark' | 'hc-black' | 'hc-light'; + inherit: boolean; + rules: Array<{ token: string; foreground?: string; fontStyle?: string }>; + colors: Record; + }; +} + +export const EDITOR_THEMES: EditorThemeConfig[] = [ + // ===== LIGHT THEMES ===== + { + id: 'vs', + name: 'Light', + description: 'Clean and minimal', + category: 'light', + base: 'vs', + preview: { + bg: '#ffffff', + border: '#e4e4e4', + gutter: '#f5f5f5', + text: '#000000', + keyword: '#0000ff', + string: '#a31515', + comment: '#008000', + function: '#795e26', + lineNumber: '#237893' + } + }, + { + id: 'github-light', + name: 'GitHub Light', + description: 'Clean GitHub style', + category: 'light', + base: 'vs', + preview: { + bg: '#ffffff', + border: '#e1e4e8', + gutter: '#fafbfc', + text: '#24292e', + keyword: '#d73a49', + string: '#032f62', + comment: '#6a737d', + function: '#6f42c1', + lineNumber: '#959da5' + }, + themeData: { + base: 'vs', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'd73a49' }, + { token: 'string', foreground: '032f62' }, + { token: 'comment', foreground: '6a737d', fontStyle: 'italic' }, + { token: 'function', foreground: '6f42c1' }, + { token: 'variable', foreground: '005cc5' }, + { token: 'number', foreground: '005cc5' }, + { token: 'type', foreground: '22863a' }, + ], + colors: { + 'editor.background': '#ffffff', + 'editor.foreground': '#24292e', + 'editor.lineHighlightBackground': '#f6f8fa', + 'editorLineNumber.foreground': '#959da5', + 'editorGutter.background': '#fafbfc', + } + } + }, + { + id: 'solarized-light', + name: 'Solarized Light', + description: 'Warm and easy', + category: 'light', + base: 'vs', + preview: { + bg: '#fdf6e3', + border: '#eee8d5', + gutter: '#eee8d5', + text: '#657b83', + keyword: '#859900', + string: '#2aa198', + comment: '#93a1a1', + function: '#268bd2', + lineNumber: '#93a1a1' + }, + themeData: { + base: 'vs', + inherit: true, + rules: [ + { token: 'keyword', foreground: '859900' }, + { token: 'string', foreground: '2aa198' }, + { token: 'comment', foreground: '93a1a1', fontStyle: 'italic' }, + { token: 'function', foreground: '268bd2' }, + { token: 'variable', foreground: 'b58900' }, + { token: 'number', foreground: 'd33682' }, + { token: 'type', foreground: 'cb4b16' }, + ], + colors: { + 'editor.background': '#fdf6e3', + 'editor.foreground': '#657b83', + 'editor.lineHighlightBackground': '#eee8d5', + 'editorLineNumber.foreground': '#93a1a1', + 'editorGutter.background': '#eee8d5', + } + } + }, + + // ===== DARK THEMES ===== + { + id: 'vs-dark', + name: 'Dark', + description: 'Classic VS Code dark', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#1e1e1e', + border: '#3c3c3c', + gutter: '#252526', + text: '#d4d4d4', + keyword: '#569cd6', + string: '#ce9178', + comment: '#6a9955', + function: '#dcdcaa', + lineNumber: '#858585' + } + }, + { + id: 'monokai', + name: 'Monokai', + description: 'Vibrant classic', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#272822', + border: '#3e3d32', + gutter: '#272822', + text: '#f8f8f2', + keyword: '#f92672', + string: '#e6db74', + comment: '#75715e', + function: '#a6e22e', + lineNumber: '#90908a' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'f92672' }, + { token: 'string', foreground: 'e6db74' }, + { token: 'comment', foreground: '75715e', fontStyle: 'italic' }, + { token: 'function', foreground: 'a6e22e' }, + { token: 'variable', foreground: 'f8f8f2' }, + { token: 'number', foreground: 'ae81ff' }, + { token: 'type', foreground: '66d9ef', fontStyle: 'italic' }, + ], + colors: { + 'editor.background': '#272822', + 'editor.foreground': '#f8f8f2', + 'editor.lineHighlightBackground': '#3e3d32', + 'editorLineNumber.foreground': '#90908a', + 'editorGutter.background': '#272822', + } + } + }, + { + id: 'dracula', + name: 'Dracula', + description: 'Dark and colorful', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#282a36', + border: '#44475a', + gutter: '#282a36', + text: '#f8f8f2', + keyword: '#ff79c6', + string: '#f1fa8c', + comment: '#6272a4', + function: '#50fa7b', + lineNumber: '#6272a4' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'ff79c6' }, + { token: 'string', foreground: 'f1fa8c' }, + { token: 'comment', foreground: '6272a4', fontStyle: 'italic' }, + { token: 'function', foreground: '50fa7b' }, + { token: 'variable', foreground: 'f8f8f2' }, + { token: 'number', foreground: 'bd93f9' }, + { token: 'type', foreground: '8be9fd', fontStyle: 'italic' }, + ], + colors: { + 'editor.background': '#282a36', + 'editor.foreground': '#f8f8f2', + 'editor.lineHighlightBackground': '#44475a', + 'editorLineNumber.foreground': '#6272a4', + 'editorGutter.background': '#282a36', + } + } + }, + { + id: 'github-dark', + name: 'GitHub Dark', + description: 'GitHub\'s dark mode', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#0d1117', + border: '#30363d', + gutter: '#0d1117', + text: '#c9d1d9', + keyword: '#ff7b72', + string: '#a5d6ff', + comment: '#8b949e', + function: '#d2a8ff', + lineNumber: '#484f58' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'ff7b72' }, + { token: 'string', foreground: 'a5d6ff' }, + { token: 'comment', foreground: '8b949e', fontStyle: 'italic' }, + { token: 'function', foreground: 'd2a8ff' }, + { token: 'variable', foreground: 'ffa657' }, + { token: 'number', foreground: '79c0ff' }, + { token: 'type', foreground: '7ee787' }, + ], + colors: { + 'editor.background': '#0d1117', + 'editor.foreground': '#c9d1d9', + 'editor.lineHighlightBackground': '#161b22', + 'editorLineNumber.foreground': '#484f58', + 'editorGutter.background': '#0d1117', + } + } + }, + { + id: 'solarized-dark', + name: 'Solarized Dark', + description: 'Precision colors', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#002b36', + border: '#073642', + gutter: '#073642', + text: '#839496', + keyword: '#859900', + string: '#2aa198', + comment: '#586e75', + function: '#268bd2', + lineNumber: '#586e75' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: '859900' }, + { token: 'string', foreground: '2aa198' }, + { token: 'comment', foreground: '586e75', fontStyle: 'italic' }, + { token: 'function', foreground: '268bd2' }, + { token: 'variable', foreground: 'b58900' }, + { token: 'number', foreground: 'd33682' }, + { token: 'type', foreground: 'cb4b16' }, + ], + colors: { + 'editor.background': '#002b36', + 'editor.foreground': '#839496', + 'editor.lineHighlightBackground': '#073642', + 'editorLineNumber.foreground': '#586e75', + 'editorGutter.background': '#073642', + } + } + }, + { + id: 'nord', + name: 'Nord', + description: 'Arctic, north-bluish', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#2e3440', + border: '#3b4252', + gutter: '#2e3440', + text: '#d8dee9', + keyword: '#81a1c1', + string: '#a3be8c', + comment: '#616e88', + function: '#88c0d0', + lineNumber: '#4c566a' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: '81a1c1' }, + { token: 'string', foreground: 'a3be8c' }, + { token: 'comment', foreground: '616e88', fontStyle: 'italic' }, + { token: 'function', foreground: '88c0d0' }, + { token: 'variable', foreground: 'd8dee9' }, + { token: 'number', foreground: 'b48ead' }, + { token: 'type', foreground: '8fbcbb' }, + ], + colors: { + 'editor.background': '#2e3440', + 'editor.foreground': '#d8dee9', + 'editor.lineHighlightBackground': '#3b4252', + 'editorLineNumber.foreground': '#4c566a', + 'editorGutter.background': '#2e3440', + } + } + }, + { + id: 'one-dark-pro', + name: 'One Dark Pro', + description: 'Atom\'s iconic theme', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#282c34', + border: '#3e4451', + gutter: '#282c34', + text: '#abb2bf', + keyword: '#c678dd', + string: '#98c379', + comment: '#5c6370', + function: '#61afef', + lineNumber: '#4b5263' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'c678dd' }, + { token: 'string', foreground: '98c379' }, + { token: 'comment', foreground: '5c6370', fontStyle: 'italic' }, + { token: 'function', foreground: '61afef' }, + { token: 'variable', foreground: 'e06c75' }, + { token: 'number', foreground: 'd19a66' }, + { token: 'type', foreground: 'e5c07b' }, + ], + colors: { + 'editor.background': '#282c34', + 'editor.foreground': '#abb2bf', + 'editor.lineHighlightBackground': '#2c313c', + 'editorLineNumber.foreground': '#4b5263', + 'editorGutter.background': '#282c34', + } + } + }, + { + id: 'tokyo-night', + name: 'Tokyo Night', + description: 'Clean, dark Tokyo', + category: 'dark', + base: 'vs-dark', + preview: { + bg: '#1a1b26', + border: '#292e42', + gutter: '#1a1b26', + text: '#a9b1d6', + keyword: '#bb9af7', + string: '#9ece6a', + comment: '#565f89', + function: '#7aa2f7', + lineNumber: '#3b4261' + }, + themeData: { + base: 'vs-dark', + inherit: true, + rules: [ + { token: 'keyword', foreground: 'bb9af7' }, + { token: 'string', foreground: '9ece6a' }, + { token: 'comment', foreground: '565f89', fontStyle: 'italic' }, + { token: 'function', foreground: '7aa2f7' }, + { token: 'variable', foreground: 'c0caf5' }, + { token: 'number', foreground: 'ff9e64' }, + { token: 'type', foreground: '2ac3de' }, + ], + colors: { + 'editor.background': '#1a1b26', + 'editor.foreground': '#a9b1d6', + 'editor.lineHighlightBackground': '#292e42', + 'editorLineNumber.foreground': '#3b4261', + 'editorGutter.background': '#1a1b26', + } + } + }, + + // ===== HIGH CONTRAST THEMES ===== + { + id: 'hc-black', + name: 'High Contrast Dark', + description: 'Maximum visibility', + category: 'high-contrast', + base: 'hc-black', + preview: { + bg: '#000000', + border: '#6fc3df', + gutter: '#000000', + text: '#ffffff', + keyword: '#569cd6', + string: '#ce9178', + comment: '#7ca668', + function: '#dcdcaa', + lineNumber: '#ffffff' + } + }, + { + id: 'hc-light', + name: 'High Contrast Light', + description: 'Bright and clear', + category: 'high-contrast', + base: 'hc-light', + preview: { + bg: '#ffffff', + border: '#0000cd', + gutter: '#ffffff', + text: '#292929', + keyword: '#0000ff', + string: '#a31515', + comment: '#008000', + function: '#5c2d91', + lineNumber: '#292929' + } + } +]; + interface ThemeState { theme: Theme; isDark: boolean; } +// Reactive state +let _theme = $state('system'); +let _isDark = $state(false); +let _editorTheme = $state('vs-dark'); + +// Subscribers for editor theme changes +type EditorThemeSubscriber = (theme: EditorTheme) => void; +const editorThemeSubscribers = new Set(); + +// Subscribe to editor theme changes - returns unsubscribe function +export function subscribeToEditorTheme(callback: EditorThemeSubscriber): () => void { + editorThemeSubscribers.add(callback); + // Immediately call with current value + callback(_editorTheme); + // Return unsubscribe function + return () => { + editorThemeSubscribers.delete(callback); + }; +} + +// Notify all subscribers of theme change +function notifyEditorThemeSubscribers() { + editorThemeSubscribers.forEach(callback => callback(_editorTheme)); +} + function createThemeStore() { - let theme = $state('system'); - let isDark = $state(false); // Initialize from localStorage or system preference function init() { @@ -21,7 +500,13 @@ function createThemeStore() { const stored = localStorage.getItem(STORAGE_KEY) as Theme | null; if (stored && ['light', 'dark', 'system'].includes(stored)) { - theme = stored; + _theme = stored; + } + + // Initialize editor theme + const storedEditorTheme = localStorage.getItem(EDITOR_THEME_STORAGE_KEY) as EditorTheme | null; + if (storedEditorTheme && EDITOR_THEMES.some(t => t.id === storedEditorTheme)) { + _editorTheme = storedEditorTheme; } updateDarkMode(); @@ -29,7 +514,7 @@ function createThemeStore() { // Listen for system theme changes if (window.matchMedia) { window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => { - if (theme === 'system') { + if (_theme === 'system') { updateDarkMode(); } }); @@ -39,14 +524,14 @@ function createThemeStore() { function updateDarkMode() { if (typeof window === 'undefined') return; - if (theme === 'system') { - isDark = window.matchMedia?.('(prefers-color-scheme: dark)').matches ?? false; + if (_theme === 'system') { + _isDark = window.matchMedia?.('(prefers-color-scheme: dark)').matches ?? false; } else { - isDark = theme === 'dark'; + _isDark = _theme === 'dark'; } // Apply to document - if (isDark) { + if (_isDark) { document.documentElement.classList.add('dark'); } else { document.documentElement.classList.remove('dark'); @@ -54,7 +539,7 @@ function createThemeStore() { } function setTheme(newTheme: Theme) { - theme = newTheme; + _theme = newTheme; if (typeof window !== 'undefined') { localStorage.setItem(STORAGE_KEY, newTheme); } @@ -63,14 +548,25 @@ function createThemeStore() { function toggle() { // Simple toggle between light and dark - setTheme(isDark ? 'light' : 'dark'); + setTheme(_isDark ? 'light' : 'dark'); + } + + function setEditorTheme(newTheme: EditorTheme) { + _editorTheme = newTheme; + if (typeof window !== 'undefined') { + localStorage.setItem(EDITOR_THEME_STORAGE_KEY, newTheme); + } + // Notify all subscribers of the change + notifyEditorThemeSubscribers(); } return { - get theme() { return theme; }, - get isDark() { return isDark; }, + get theme() { return _theme; }, + get isDark() { return _isDark; }, + get editorTheme() { return _editorTheme; }, init, setTheme, + setEditorTheme, toggle }; } diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index dda1a1da..b0650090 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -21,6 +21,33 @@ export interface ModelConfig { name: string; provider?: string; parameters?: Record; + structured_output?: StructuredOutputConfig; +} + +// Structured Output types for schema-constrained LLM responses +export interface SchemaFieldDefinition { + type: 'str' | 'int' | 'float' | 'bool' | 'list' | 'dict'; + description?: string; + default?: unknown; +} + +export interface StructuredOutputSchema { + fields: Record; +} + +export interface StructuredOutputConfig { + enabled: boolean; + schema: StructuredOutputSchema | string; // Inline schema OR class path string + fallback_strategy?: 'instruction' | 'post_process'; + retry_on_parse_error?: boolean; + max_parse_retries?: number; +} + +// Multi-LLM model configuration (for parallel model execution) +export interface MultiLLMModelConfig { + name: string; + parameters?: Record; + structured_output?: StructuredOutputConfig; } export interface PromptMessage { @@ -57,7 +84,7 @@ export interface NodeConfigOverride { export interface WorkflowNode { id: string; - node_type: 'data' | 'start' | 'end' | 'output' | 'llm' | 'agent' | 'lambda' | 'subgraph' | 'branch' | 'weighted_sampler'; + node_type: 'data' | 'start' | 'end' | 'output' | 'llm' | 'agent' | 'lambda' | 'subgraph' | 'branch' | 'weighted_sampler' | 'multi_llm'; summary: string; description?: string; model?: ModelConfig; @@ -82,6 +109,12 @@ export interface WorkflowNode { tool_choice?: 'auto' | 'required' | 'none'; // Output keys - state variable name(s) for this node's output output_keys?: string | string[]; + // Chat history fields (for LLM/Agent nodes) + chat_history?: boolean; + inject_system_messages?: Array>; // [{3: "msg"}, {5: "msg"}] + // Multi-LLM fields (for parallel model execution) + models?: Record; // Map of label -> model config + multi_llm_post_process?: string; // Custom post-processor for aggregating responses } export interface AvailableModel { @@ -107,18 +140,212 @@ export interface WorkflowEdge { condition?: EdgeCondition; } +// ============================================ +// Data Transformation Types (SyGra Framework) +// ============================================ + +// Supported transform types from SyGra framework +export type TransformType = + | 'SkipRecords' + | 'CombineRecords' + | 'RenameFieldsTransform' + | 'AddNewFieldTransform' + | 'CreateImageUrlTransform' + | 'CreateAudioUrlTransform' + | 'CartesianProductTransform' + | 'custom'; + +// Transform parameter schemas for each type +export interface SkipRecordsParams { + skip_type: 'range' | 'count'; + range?: string; // e.g., "[:10],[-10:]" + count?: { + from_start?: number; + from_end?: number; + }; +} + +export interface CombineRecordsParams { + combine: number; + shift?: number; + skip?: { + from_beginning?: number; + from_end?: number; + }; + join_column?: Record; // column -> join pattern ($1, $2) +} + +export interface RenameFieldsParams { + mapping: Record; // old_name -> new_name + overwrite?: boolean; +} + +export interface AddNewFieldParams { + mapping: Record; // field_name -> value +} + +export interface CreateAudioUrlParams { + output_fields?: Record; +} + +export interface CartesianProductParams { + datasets: Array<{ + alias: string; + prefix: string; + }>; +} + +// Transform configuration with metadata +export interface TransformConfig { + id: string; // Unique ID for UI ordering/tracking + transform: string; // Full module path or shorthand + params: Record; + enabled?: boolean; // Allow disabling without removing +} + +// Map UI-friendly names to full module paths +export const TRANSFORM_MODULES: Record = { + 'SkipRecords': 'sygra.processors.data_transform.SkipRecords', + 'CombineRecords': 'sygra.processors.data_transform.CombineRecords', + 'RenameFieldsTransform': 'sygra.processors.data_transform.RenameFieldsTransform', + 'AddNewFieldTransform': 'sygra.processors.data_transform.AddNewFieldTransform', + 'CreateImageUrlTransform': 'sygra.processors.data_transform.CreateImageUrlTransform', + 'CreateAudioUrlTransform': 'sygra.processors.data_transform.CreateAudioUrlTransform', + 'CartesianProductTransform': 'sygra.processors.data_transform.CartesianProductTransform', +}; + +// Transform metadata for UI display +export const TRANSFORM_METADATA: Record = { + 'SkipRecords': { + name: 'Skip Records', + description: 'Skip records from beginning/end by range or count', + icon: 'skip', + category: 'record' + }, + 'CombineRecords': { + name: 'Combine Records', + description: 'Merge consecutive records with custom join rules', + icon: 'merge', + category: 'record' + }, + 'RenameFieldsTransform': { + name: 'Rename Fields', + description: 'Rename columns in records', + icon: 'rename', + category: 'field' + }, + 'AddNewFieldTransform': { + name: 'Add Fields', + description: 'Add new fields with static values', + icon: 'add', + category: 'field' + }, + 'CreateImageUrlTransform': { + name: 'Image to URL', + description: 'Convert images to base64 data URLs', + icon: 'image', + category: 'media' + }, + 'CreateAudioUrlTransform': { + name: 'Audio to URL', + description: 'Convert audio to base64 data URLs', + icon: 'audio', + category: 'media' + }, + 'CartesianProductTransform': { + name: 'Cartesian Product', + description: 'Create Mร—N combinations from column groups', + icon: 'grid', + category: 'advanced' + }, +}; + +// Get display name from module path +export function getTransformDisplayName(modulePath: string): string { + const name = modulePath.split('.').pop() || modulePath; + return TRANSFORM_METADATA[name]?.name || name.replace('Transform', ''); +} + +// Get short name from full module path +export function getTransformShortName(modulePath: string): string { + return modulePath.split('.').pop() || modulePath; +} + +// ============================================ +// Multi-Dataset / Join Types +// ============================================ + +// Join types supported by SyGra +export type JoinType = + | 'primary' // Main/left table + | 'column' // SQL-like column join (INNER) + | 'sequential' // Repeat secondary cyclically + | 'random' // Random permutation & repeat + | 'cross' // Cartesian product (Mร—N) + | 'vstack'; // Vertical stack (same columns) + +// Join type metadata for UI +export const JOIN_TYPE_METADATA: Record = { + 'primary': { + name: 'Primary', + description: 'Main table - all records from this source', + icon: 'database' + }, + 'column': { + name: 'Column Join', + description: 'SQL-like inner join on matching key columns', + icon: 'link' + }, + 'sequential': { + name: 'Sequential', + description: 'Repeat secondary data cyclically to match primary length', + icon: 'repeat' + }, + 'random': { + name: 'Random', + description: 'Shuffle secondary and extend to match primary length', + icon: 'shuffle' + }, + 'cross': { + name: 'Cross Product', + description: 'Cartesian product - Mร—N rows from both sources', + icon: 'grid' + }, + 'vstack': { + name: 'Vertical Stack', + description: 'Stack datasets vertically (same columns required)', + icon: 'layers' + } +}; + +// ============================================ +// Data Source Configuration Types +// ============================================ + // Data source configuration types (matches SyGra YAML structure) export interface DataSourceDetails { - type: 'hf' | 'disk' | 'servicenow'; + type: 'hf' | 'disk' | 'servicenow' | 'memory'; + + // Multi-dataset fields + alias?: string; + join_type?: JoinType; + primary_key?: string; // Column in primary table + join_key?: string; // Column in this table to match + // HuggingFace repo_id?: string; config_name?: string; split?: string | string[]; streaming?: boolean; + // Disk/File file_path?: string; - file_format?: string; + file_format?: string; // json, jsonl, csv, parquet, folder encoding?: string; + + // Memory/Inline + data?: Array>; + // ServiceNow table?: string; query?: string; @@ -127,11 +354,10 @@ export interface DataSourceDetails { limit?: number; batch_size?: number; order_by?: string; - // Transformations - transformations?: Array<{ - transform: string; - params?: Record; - }>; + order_desc?: boolean; + + // Transformations pipeline + transformations?: TransformConfig[]; } export interface DataSinkDetails { @@ -148,6 +374,7 @@ export interface DataSinkDetails { } export interface DataSourceConfig { + id_column?: string; // For tracking records across joins in multi-dataset scenarios source?: DataSourceDetails | DataSourceDetails[]; sink?: DataSinkDetails | DataSinkDetails[]; // Internal fields for code storage (stripped before save to YAML) @@ -827,6 +1054,13 @@ function createWorkflowStore() { if (nodeType === 'llm') { newNode.model = { name: 'gpt-4o-mini', parameters: { temperature: 0.7 } }; newNode.prompt = [{ role: 'system', content: '' }]; + } else if (nodeType === 'multi_llm') { + newNode.summary = 'Multi-LLM'; + newNode.models = { + model_1: { name: 'gpt-4o', parameters: { temperature: 0.7 } }, + model_2: { name: 'gpt-4o-mini', parameters: { temperature: 0.7 } } + }; + newNode.prompt = [{ role: 'user', content: '' }]; } else if (nodeType === 'lambda') { newNode.function_path = ''; } @@ -1744,6 +1978,7 @@ export const NODE_TYPES = [ // AI Nodes (tools are configured on these nodes via the Tools tab) { type: 'llm', label: 'LLM', color: '#8b5cf6', description: 'Language model with optional tools', category: 'ai' }, { type: 'agent', label: 'Agent', color: '#ec4899', description: 'ReAct agent with tool calling', category: 'ai' }, + { type: 'multi_llm', label: 'Multi-LLM', color: '#06b6d4', description: 'Parallel execution across multiple models', category: 'ai' }, // Data { type: 'data', label: 'Data', color: '#0ea5e9', description: 'Data source & sink configuration', category: 'data' }, { type: 'output', label: 'Output', color: '#10b981', description: 'Output mapping & generator', category: 'data' }, diff --git a/studio/graph_builder.py b/studio/graph_builder.py index b1a15484..fbd89429 100644 --- a/studio/graph_builder.py +++ b/studio/graph_builder.py @@ -40,6 +40,9 @@ class SygraGraphBuilder: # Node type mapping from SyGra to visualization types NODE_TYPE_MAP = { "llm": NodeType.LLM, + "multi_llm": NodeType.MULTI_LLM, + "agent": NodeType.AGENT, + "web_agent": NodeType.WEB_AGENT, "lambda": NodeType.LAMBDA, "subgraph": NodeType.SUBGRAPH, "weighted_sampler": NodeType.WEIGHTED_SAMPLER, @@ -236,7 +239,7 @@ def _build_node( node_type_str = node_config.get("node_type", "llm") node_type = self.NODE_TYPE_MAP.get(node_type_str, NodeType.LLM) - # Extract model configuration + # Extract model configuration (for single LLM/Agent nodes) model_config = None if "model" in node_config: model = node_config["model"] @@ -245,6 +248,13 @@ def _build_node( parameters=model.get("parameters", {}), ) + # Extract models configuration (for multi_llm nodes) + models_config = None + multi_llm_post_process = None + if node_type == NodeType.MULTI_LLM and "models" in node_config: + models_config = node_config["models"] + multi_llm_post_process = node_config.get("multi_llm_post_process") + # Extract prompt messages prompts = None if "prompt" in node_config: @@ -275,9 +285,11 @@ def _build_node( summary=summary, description=node_config.get("description"), model=model_config, + models=models_config, prompt=prompts, pre_process=node_config.get("pre_process"), post_process=node_config.get("post_process"), + multi_llm_post_process=multi_llm_post_process, subgraph_path=subgraph_path, inner_graph=inner_graph, node_config_map=node_config_map, diff --git a/studio/models.py b/studio/models.py index 59b3a0b0..f9110d44 100644 --- a/studio/models.py +++ b/studio/models.py @@ -16,6 +16,7 @@ class NodeType(str, Enum): DATA = "data" LLM = "llm" + MULTI_LLM = "multi_llm" LAMBDA = "lambda" SUBGRAPH = "subgraph" WEIGHTED_SAMPLER = "weighted_sampler" @@ -25,6 +26,8 @@ class NodeType(str, Enum): OUTPUT = "output" BRANCH = "branch" LOOP = "loop" + AGENT = "agent" + WEB_AGENT = "web_agent" class ExecutionStatus(str, Enum): @@ -84,9 +87,11 @@ class WorkflowNode(BaseModel): # Node-specific configuration model: Optional[ModelConfig] = None + models: Optional[Dict[str, Dict[str, Any]]] = None # For multi_llm nodes prompt: Optional[List[PromptMessage]] = None pre_process: Optional[str] = None post_process: Optional[str] = None + multi_llm_post_process: Optional[str] = None # For multi_llm nodes # For subgraph nodes subgraph_path: Optional[str] = None From 635b3148606fc842e583561bce51fb1069ce4302 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Tue, 6 Jan 2026 14:45:45 +0530 Subject: [PATCH 10/20] feat: add inline source preview, form validation, and improved LLM output handling --- studio/api.py | 218 +++++++++++++++++- studio/frontend/src/app.html | 4 +- .../components/builder/WorkflowBuilder.svelte | 2 +- .../src/lib/components/data/SourceCard.svelte | 2 +- .../lib/components/data/SourceEditor.svelte | 48 +++- .../components/data/SourceTypeSelector.svelte | 12 +- .../components/graph/NodeDetailsPanel.svelte | 31 ++- studio/frontend/static/favicon.svg | 16 ++ 8 files changed, 304 insertions(+), 29 deletions(-) create mode 100644 studio/frontend/static/favicon.svg diff --git a/studio/api.py b/studio/api.py index a3615611..626ca4da 100644 --- a/studio/api.py +++ b/studio/api.py @@ -21,7 +21,7 @@ from pathlib import Path from typing import Any, Dict, List, Optional -from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect +from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Request from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import JSONResponse from pydantic import BaseModel @@ -1025,6 +1025,167 @@ async def get_workflow_sample_data(workflow_id: str, limit: int = 3, source_inde "message": f"Error loading sample data: {str(e)}" } + @app.post("/api/preview-source") + async def preview_source_data(request: Request, limit: int = 5): + """ + Preview data from a source configuration directly (without requiring a saved workflow). + + Accepts source configuration in the POST body and returns sample data. + This allows previewing data before saving a workflow. + + Args: + request: Request containing source configuration in body. + limit: Maximum number of records to return (default: 5). + + Returns: + Sample data records and metadata. + """ + try: + source = await request.json() + except Exception as e: + return { + "records": [], + "total": 0, + "message": f"Invalid JSON body: {str(e)}" + } + + if not source: + return { + "records": [], + "total": 0, + "message": "No source configuration provided" + } + + source_type = (source.get("type") or "").lower() + + try: + records = [] + total_count = None + + if source_type in ("disk", "local_file", "local", "json", "jsonl", "csv"): + # Local file source + file_path = source.get("file_path") or source.get("path") + file_format = source.get("file_format") or source.get("format") or "json" + + if not file_path: + return { + "records": [], + "total": 0, + "message": "No file_path specified for local file source" + } + + if file_path and os.path.exists(file_path): + import json as json_lib + if file_format in ("json",): + with open(file_path, 'r') as f: + data = json_lib.load(f) + if isinstance(data, list): + total_count = len(data) + records = data[:limit] + else: + records = [data] + total_count = 1 + elif file_format in ("jsonl",): + with open(file_path, 'r') as f: + lines = f.readlines() + total_count = len(lines) + for line in lines[:limit]: + if line.strip(): + records.append(json_lib.loads(line)) + elif file_format in ("csv",): + import csv + with open(file_path, 'r') as f: + reader = csv.DictReader(f) + all_rows = list(reader) + total_count = len(all_rows) + records = all_rows[:limit] + elif file_format in ("parquet",): + try: + import pandas as pd + df = pd.read_parquet(file_path) + total_count = len(df) + records = df.head(limit).to_dict('records') + except ImportError: + return { + "records": [], + "total": 0, + "message": "pandas and pyarrow required for parquet files" + } + else: + return { + "records": [], + "total": 0, + "message": f"File not found: {file_path}" + } + + elif source_type in ("hf", "huggingface"): + # HuggingFace source - use HF Hub API directly + repo_id = source.get("repo_id") + config_name = source.get("config_name") or "default" + split = source.get("split", "train") + + if not repo_id: + return { + "records": [], + "total": 0, + "message": "No repo_id specified for HuggingFace dataset" + } + + try: + from huggingface_hub import HfApi + import requests as hf_requests + + api = HfApi() + + # Try the dataset viewer API first (much faster) + viewer_url = f"https://datasets-server.huggingface.co/rows?dataset={repo_id}&config={config_name}&split={split}&offset=0&length={limit}" + response = hf_requests.get(viewer_url, timeout=10) + + if response.status_code == 200: + data = response.json() + records = [row.get("row", row) for row in data.get("rows", [])] + total_count = data.get("num_rows_total", len(records)) + else: + # Fall back to datasets library + from datasets import load_dataset + ds = load_dataset(repo_id, config_name, split=split, streaming=True, trust_remote_code=True) + records = list(ds.take(limit)) + total_count = "streaming" + except Exception as hf_error: + return { + "records": [], + "total": 0, + "message": f"HuggingFace error: {str(hf_error)}" + } + + elif source_type == "servicenow": + # ServiceNow source - would need credentials + return { + "records": [], + "total": 0, + "message": "ServiceNow preview requires saved workflow with credentials" + } + + else: + return { + "records": [], + "total": 0, + "message": f"Unknown source type: {source_type}" + } + + return { + "records": records, + "total": total_count, + "source_type": source_type + } + + except Exception as e: + return { + "records": [], + "total": 0, + "message": f"Error loading sample data: {str(e)}" + } + @app.post("/api/workflows/{workflow_id}/execute", response_model=ExecutionResponse) async def execute_workflow( workflow_id: str, @@ -3365,6 +3526,22 @@ async def fetch_variables(variables_reference: int) -> list: writer.close() +def _represent_multiline_str(dumper, data): + """Custom YAML representer that uses literal block scalar style for multiline strings.""" + if '\n' in data: + # Use literal block scalar style (|) for multiline strings + return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|') + return dumper.represent_scalar('tag:yaml.org,2002:str', data) + + +def _get_yaml_dumper(): + """Get a custom YAML dumper that properly formats multiline strings.""" + class CustomDumper(yaml.SafeDumper): + pass + CustomDumper.add_representer(str, _represent_multiline_str) + return CustomDumper + + async def _save_workflow_to_disk(app: FastAPI, request: WorkflowCreateRequest, is_new: bool) -> WorkflowSaveResponse: """ Save a workflow to disk as graph_config.yaml and task_executor.py. @@ -3420,7 +3597,7 @@ async def _save_workflow_to_disk(app: FastAPI, request: WorkflowCreateRequest, i config_path = workflow_dir / "graph_config.yaml" with open(config_path, 'w') as f: - yaml.dump(graph_config, f, default_flow_style=False, sort_keys=False, allow_unicode=True) + yaml.dump(graph_config, f, Dumper=_get_yaml_dumper(), default_flow_style=False, sort_keys=False, allow_unicode=True) files_created.append(str(config_path)) # Generate task_executor.py if there are custom processors @@ -3763,9 +3940,22 @@ def _generate_graph_config(request: WorkflowCreateRequest, task_name: str) -> di } config['output_config'] = output_config_clean else: - # Generate minimal default output config - just id mapping - # Users can add more mappings via the UI if needed - config['output_config'] = {'output_map': {'id': {'from': 'id'}}} + # Generate default output config with id and messages mapping + # Check if we have LLM nodes that need message conversion + has_llm_nodes = any(n.node_type == 'llm' for n in request.nodes) + + if has_llm_nodes: + # Use output generator with message transform for LLM outputs + config['output_config'] = { + 'generator': f'tasks.examples.{task_name}.task_executor.DefaultOutputGenerator', + 'output_map': { + 'id': {'from': 'id'}, + 'response': {'from': 'messages', 'transform': 'build_response'} + } + } + else: + # Minimal output config for non-LLM workflows + config['output_config'] = {'output_map': {'id': {'from': 'id'}}} # Schema config if request.schema_config: @@ -3913,6 +4103,24 @@ def {func_name}(state: SygraState) -> str: return "{path_map_keys[0]}" ''') + # Check if we have LLM nodes - always generate DefaultOutputGenerator for them + has_llm_nodes = any(n.node_type == 'llm' for n in request.nodes) + if has_llm_nodes: + needs_executor = True + imports.add("from typing import Any") + imports.add("from sygra.processors.output_record_generator import BaseOutputGenerator") + imports.add("from sygra.utils import utils") + + classes.append(''' +class DefaultOutputGenerator(BaseOutputGenerator): + """Output generator that converts LangChain messages to chat format.""" + + @staticmethod + def build_response(data: Any, state: dict) -> list: + """Convert LangChain AIMessage objects to serializable chat format.""" + return utils.convert_messages_from_langchain_to_chat_format(data) +''') + if not needs_executor: return None diff --git a/studio/frontend/src/app.html b/studio/frontend/src/app.html index 0be59468..4e72cb26 100644 --- a/studio/frontend/src/app.html +++ b/studio/frontend/src/app.html @@ -2,9 +2,9 @@ - + - SyGra Workflow Studio + Sygra Studio %sveltekit.head% diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index 29886c44..59fec5cf 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -1178,7 +1178,7 @@ onclick={() => showGroupModal = true} disabled={!canGroupNodes()} title={canGroupNodes() ? `Group ${selectedNodeIds.length} nodes as subgraph (โŒ˜G)` : 'Cannot group: includes START, END, Data, or Output nodes'} - class="flex items-center gap-2 px-3 py-2 bg-blue-500 hover:bg-blue-600 disabled:bg-gray-300 dark:disabled:bg-gray-600 text-white rounded-lg transition-colors disabled:cursor-not-allowed" + class="flex items-center gap-2 px-3 py-2 bg-blue-600 hover:bg-blue-700 disabled:bg-gray-300 dark:disabled:bg-gray-600 text-white rounded-lg transition-colors disabled:cursor-not-allowed" > Group ({selectedNodeIds.length}) diff --git a/studio/frontend/src/lib/components/data/SourceCard.svelte b/studio/frontend/src/lib/components/data/SourceCard.svelte index bf048ada..e464c13e 100644 --- a/studio/frontend/src/lib/components/data/SourceCard.svelte +++ b/studio/frontend/src/lib/components/data/SourceCard.svelte @@ -216,7 +216,7 @@ {#if isEditing} -
+
{#if !isPrimary}
@@ -264,8 +280,11 @@ type="text" bind:value={primaryKey} placeholder="Column in primary source" - class="w-full px-3 py-2 text-sm font-mono border border-violet-200 dark:border-violet-700 rounded-lg bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 focus:ring-violet-500" + class="w-full px-3 py-2 text-sm font-mono border rounded-lg bg-white dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 {primaryKeyError ? 'border-red-500 focus:ring-red-500' : 'border-violet-200 dark:border-violet-700 focus:ring-violet-500'}" /> + {#if primaryKeyError} +

{primaryKeyError}

+ {/if}
@@ -311,9 +333,12 @@ type="text" bind:value={repoId} placeholder="username/dataset-name" - class="w-full pl-10 pr-4 py-2.5 font-mono border border-gray-200 dark:border-gray-700 rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 focus:ring-violet-500" + class="w-full pl-10 pr-4 py-2.5 font-mono border rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 {repoIdError ? 'border-red-500 focus:ring-red-500' : 'border-gray-200 dark:border-gray-700 focus:ring-violet-500'}" />
+ {#if repoIdError} +

{repoIdError}

+ {/if}
@@ -361,9 +386,12 @@ type="text" bind:value={filePath} placeholder="/path/to/data.json" - class="w-full pl-10 pr-4 py-2.5 font-mono border border-gray-200 dark:border-gray-700 rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 focus:ring-violet-500" + class="w-full pl-10 pr-4 py-2.5 font-mono border rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 {filePathError ? 'border-red-500 focus:ring-red-500' : 'border-gray-200 dark:border-gray-700 focus:ring-violet-500'}" />
+ {#if filePathError} +

{filePathError}

+ {/if}
@@ -404,9 +432,12 @@ type="text" bind:value={table} placeholder="incident" - class="w-full pl-10 pr-4 py-2.5 font-mono border border-gray-200 dark:border-gray-700 rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 focus:ring-violet-500" + class="w-full pl-10 pr-4 py-2.5 font-mono border rounded-xl bg-gray-50 dark:bg-gray-800 text-gray-900 dark:text-gray-100 focus:ring-2 {tableError ? 'border-red-500 focus:ring-red-500' : 'border-gray-200 dark:border-gray-700 focus:ring-violet-500'}" />
+ {#if tableError} +

{tableError}

+ {/if}
@@ -519,8 +550,7 @@ @@ -267,14 +271,14 @@
@@ -292,14 +292,14 @@
@@ -330,7 +330,7 @@ class="flex items-center gap-1 text-xs font-semibold text-gray-500 dark:text-gray-400 uppercase tracking-wider hover:text-gray-700 dark:hover:text-gray-200" > Nodes - + @@ -339,7 +339,7 @@ class="flex items-center gap-1 text-xs font-semibold text-gray-500 dark:text-gray-400 uppercase tracking-wider hover:text-gray-700 dark:hover:text-gray-200" > Edges - + @@ -353,12 +353,12 @@ {#each filteredWorkflows() as workflow (workflow.id)} selectWorkflow(workflow.id)} - class="cursor-pointer transition-colors {currentWorkflow?.id === workflow.id ? 'bg-violet-50 dark:bg-violet-900/20' : 'hover:bg-gray-50 dark:hover:bg-gray-800'}" + class="cursor-pointer transition-colors {currentWorkflow?.id === workflow.id ? 'bg-[#032D42]/10 dark:bg-[#52B8FF]/20' : 'hover:bg-gray-50 dark:hover:bg-gray-800'}" >
-
- +
+
@@ -372,7 +372,7 @@ - + {workflow.node_count} nodes @@ -386,7 +386,7 @@
{/each} @@ -623,7 +623,7 @@ e.key === 'Enter' && confirmRename()} /> @@ -637,7 +637,7 @@ diff --git a/studio/frontend/src/lib/config/brand-colors.ts b/studio/frontend/src/lib/config/brand-colors.ts new file mode 100644 index 00000000..ee35b921 --- /dev/null +++ b/studio/frontend/src/lib/config/brand-colors.ts @@ -0,0 +1,243 @@ +/** + * Brand Color Palette + * + * A bold, optimistic, and empathetic color system. + * Combining colors in gradients adds visual interest, depth, and dimension. + */ + +// ============================================================================= +// PRIMARY COLORS +// ============================================================================= +// Main colors used most frequently. Infinite Blue is the dominant brand color. +// Wasabi Green is an accent - use sparingly for special highlights. + +export const PRIMARY = { + infiniteBlue: '#032D42', // RGB: 3 45 66 - Main brand color, use most + wasabiGreen: '#63DF4E', // RGB: 99 223 78 - Accent, sparingly + white: '#FFFFFF', + black: '#000000', +} as const; + +// ============================================================================= +// SUPPLEMENTARY COLORS +// ============================================================================= +// Complement primary colors, adding variety without overshadowing. +// For limited use, like in gradients. + +export const SUPPLEMENTARY = { + brightBlue: '#52B8FF', // RGB: 82 184 255 - Info, data nodes + brightIndigo: '#7661FF', // RGB: 118 97 255 - LLM, AI nodes + brightPurple: '#BF71F2', // RGB: 191 113 242 - Special features +} as const; + +// ============================================================================= +// DERIVED COLORS +// ============================================================================= +// Variations for UI states, derived from primary colors + +export const DERIVED = { + // Infinite Blue variations + infiniteBlueDark: '#021E2D', // Darker for hover states + infiniteBlueLight: '#0A4D6E', // Lighter variation + infiniteBlueMuted: '#064565', // Muted for backgrounds + infiniteBlueSubtle: '#E8F4F8', // Very light for light mode backgrounds + + // Wasabi Green variations (use sparingly) + wasabiGreenDark: '#4BC93A', // Darker for hover + wasabiGreenLight: '#8AEB7D', // Lighter variation + wasabiGreenMuted: 'rgba(99, 223, 78, 0.15)', // Subtle background + + // Supplementary variations + brightBlueMuted: 'rgba(82, 184, 255, 0.15)', + brightIndigoMuted: 'rgba(118, 97, 255, 0.15)', + brightPurpleMuted: 'rgba(191, 113, 242, 0.15)', +} as const; + +// ============================================================================= +// SEMANTIC COLORS +// ============================================================================= +// Purpose-driven color assignments + +export const SEMANTIC = { + // Status colors - mapped from brand palette + success: PRIMARY.wasabiGreen, + successBg: DERIVED.wasabiGreenMuted, + + info: SUPPLEMENTARY.brightBlue, + infoBg: DERIVED.brightBlueMuted, + + warning: '#F59E0B', // Amber for warnings (accessible) + warningBg: 'rgba(245, 158, 11, 0.15)', + + error: '#EF4444', // Red for errors (standard) + errorBg: 'rgba(239, 68, 68, 0.15)', + + // Interactive states + primary: PRIMARY.infiniteBlue, + primaryHover: DERIVED.infiniteBlueDark, + primaryActive: DERIVED.infiniteBlueLight, + + accent: PRIMARY.wasabiGreen, + accentHover: DERIVED.wasabiGreenDark, + + // Text colors + textPrimary: PRIMARY.infiniteBlue, + textSecondary: '#4B5563', // Gray-600 + textMuted: '#9CA3AF', // Gray-400 + textInverse: PRIMARY.white, + + // Border colors + border: '#E5E7EB', // Gray-200 + borderDark: '#374151', // Gray-700 +} as const; + +// ============================================================================= +// NODE COLORS +// ============================================================================= +// Graph node type colors - using brand-aligned palette + +export const NODE_COLORS = { + // Core nodes + start: PRIMARY.wasabiGreen, // Green - entry point + end: '#EF4444', // Red - exit (standard recognition) + + // AI/LLM nodes - use supplementary colors + llm: SUPPLEMENTARY.brightIndigo, // Indigo - AI/intelligence + multi_llm: SUPPLEMENTARY.brightPurple, // Purple - multi-model + agent: SUPPLEMENTARY.brightPurple, // Purple - autonomous agents + + // Data nodes + data: SUPPLEMENTARY.brightBlue, // Bright blue - data/information + output: PRIMARY.wasabiGreen, // Green - successful output + + // Processing nodes + lambda: '#F97316', // Orange - custom functions + subgraph: PRIMARY.infiniteBlue, // Infinite Blue - nested workflows + weighted_sampler: SUPPLEMENTARY.brightIndigo, + + // Special nodes + webagent: SUPPLEMENTARY.brightPurple, +} as const; + +// ============================================================================= +// STATUS COLORS +// ============================================================================= +// Execution status indicators + +export const STATUS_COLORS = { + pending: { + color: '#9CA3AF', // Gray + bg: 'rgba(156, 163, 175, 0.15)', + border: 'rgba(156, 163, 175, 0.3)', + }, + running: { + color: SUPPLEMENTARY.brightBlue, + bg: DERIVED.brightBlueMuted, + border: 'rgba(82, 184, 255, 0.4)', + }, + completed: { + color: PRIMARY.wasabiGreen, + bg: DERIVED.wasabiGreenMuted, + border: 'rgba(99, 223, 78, 0.4)', + }, + failed: { + color: '#EF4444', + bg: 'rgba(239, 68, 68, 0.15)', + border: 'rgba(239, 68, 68, 0.4)', + }, + cancelled: { + color: '#F59E0B', + bg: 'rgba(245, 158, 11, 0.15)', + border: 'rgba(245, 158, 11, 0.4)', + }, + skipped: { + color: '#6B7280', + bg: 'rgba(107, 114, 128, 0.15)', + border: 'rgba(107, 114, 128, 0.3)', + }, +} as const; + +// ============================================================================= +// SURFACE COLORS +// ============================================================================= +// Background and surface colors for light/dark modes + +export const SURFACES = { + light: { + surface: PRIMARY.white, + surfaceSecondary: '#F9FAFB', // Gray-50 + surfaceTertiary: '#F3F4F6', // Gray-100 + surfaceHover: '#F3F4F6', + surfaceSelected: DERIVED.infiniteBlueSubtle, + surfaceInverse: PRIMARY.infiniteBlue, + frost: 'rgba(255, 255, 255, 0.85)', + frostSecondary: 'rgba(255, 255, 255, 0.6)', + }, + dark: { + surface: PRIMARY.infiniteBlue, + surfaceSecondary: DERIVED.infiniteBlueMuted, + surfaceTertiary: DERIVED.infiniteBlueLight, + surfaceHover: DERIVED.infiniteBlueLight, + surfaceSelected: SUPPLEMENTARY.brightIndigo, + surfaceInverse: '#F9FAFB', + frost: 'rgba(3, 45, 66, 0.85)', + frostSecondary: 'rgba(3, 45, 66, 0.6)', + }, +} as const; + +// ============================================================================= +// GRADIENTS +// ============================================================================= +// Brand gradients for visual interest + +export const GRADIENTS = { + // Primary gradient - Infinite Blue to Bright Blue + primary: 'linear-gradient(135deg, #032D42 0%, #52B8FF 100%)', + + // Accent gradient - for highlights + accent: 'linear-gradient(135deg, #63DF4E 0%, #52B8FF 100%)', + + // AI/LLM gradient + ai: 'linear-gradient(135deg, #7661FF 0%, #BF71F2 100%)', + + // Success gradient + success: 'linear-gradient(135deg, #63DF4E 0%, #4BC93A 100%)', + + // Dark background gradient + darkBg: 'linear-gradient(180deg, #032D42 0%, #021E2D 100%)', + + // Subtle overlay + overlay: 'linear-gradient(180deg, rgba(3, 45, 66, 0) 0%, rgba(3, 45, 66, 0.8) 100%)', +} as const; + +// ============================================================================= +// CSS VARIABLE NAMES +// ============================================================================= +// For easy reference when using in CSS + +export const CSS_VARS = { + // Surface + '--surface': 'surface', + '--surface-secondary': 'surface-secondary', + '--surface-tertiary': 'surface-tertiary', + '--surface-hover': 'surface-hover', + '--surface-selected': 'surface-selected', + '--surface-inverse': 'surface-inverse', + '--frost': 'frost', + '--frost-secondary': 'frost-secondary', + + // Brand + '--primary': 'primary', + '--primary-hover': 'primary-hover', + '--primary-light': 'primary-light', + '--accent': 'accent', + '--accent-hover': 'accent-hover', +} as const; + +// ============================================================================= +// TYPE EXPORTS +// ============================================================================= + +export type NodeColorKey = keyof typeof NODE_COLORS; +export type StatusKey = keyof typeof STATUS_COLORS; +export type SurfaceMode = 'light' | 'dark'; diff --git a/studio/frontend/src/lib/stores/recipe.svelte.ts b/studio/frontend/src/lib/stores/recipe.svelte.ts index d98af1b7..8784b4ce 100644 --- a/studio/frontend/src/lib/stores/recipe.svelte.ts +++ b/studio/frontend/src/lib/stores/recipe.svelte.ts @@ -261,10 +261,10 @@ export const recipeStore = createRecipeStore(); // Category metadata for UI export const RECIPE_CATEGORIES: { value: RecipeCategory; label: string; icon: string; color: string }[] = [ - { value: 'llm', label: 'LLM Patterns', icon: 'brain', color: '#8b5cf6' }, - { value: 'data', label: 'Data Processing', icon: 'database', color: '#3b82f6' }, - { value: 'transform', label: 'Transformations', icon: 'shuffle', color: '#f59e0b' }, - { value: 'agent', label: 'Agents', icon: 'bot', color: '#ec4899' }, - { value: 'utility', label: 'Utilities', icon: 'wrench', color: '#6b7280' }, - { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#10b981' } + { value: 'llm', label: 'LLM Patterns', icon: 'brain', color: '#7661FF' }, + { value: 'data', label: 'Data Processing', icon: 'database', color: '#52B8FF' }, + { value: 'transform', label: 'Transformations', icon: 'shuffle', color: '#BF71F2' }, + { value: 'agent', label: 'Agents', icon: 'bot', color: '#63DF4E' }, + { value: 'utility', label: 'Utilities', icon: 'wrench', color: '#0A4D6E' }, + { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#7661FF' } ]; diff --git a/studio/frontend/src/lib/stores/tool.svelte.ts b/studio/frontend/src/lib/stores/tool.svelte.ts index f242a173..b9ace4dd 100644 --- a/studio/frontend/src/lib/stores/tool.svelte.ts +++ b/studio/frontend/src/lib/stores/tool.svelte.ts @@ -233,11 +233,11 @@ export const toolStore = createToolStore(); // Category metadata for UI export const TOOL_CATEGORIES: { value: ToolCategory; label: string; icon: string; color: string }[] = [ - { value: 'search', label: 'Search', icon: 'search', color: '#3b82f6' }, - { value: 'data', label: 'Data', icon: 'database', color: '#10b981' }, - { value: 'api', label: 'API', icon: 'globe', color: '#f59e0b' }, - { value: 'utility', label: 'Utility', icon: 'wrench', color: '#6b7280' }, - { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#8b5cf6' } + { value: 'search', label: 'Search', icon: 'search', color: '#52B8FF' }, + { value: 'data', label: 'Data', icon: 'database', color: '#7661FF' }, + { value: 'api', label: 'API', icon: 'globe', color: '#BF71F2' }, + { value: 'utility', label: 'Utility', icon: 'wrench', color: '#0A4D6E' }, + { value: 'custom', label: 'Custom', icon: 'puzzle', color: '#63DF4E' } ]; // Default tool template diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index b0650090..8299e656 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -1970,22 +1970,22 @@ function createExecutionStore() { // View type for main content area export type ViewType = 'home' | 'workflow' | 'workflows' | 'runs' | 'builder' | 'library' | 'models'; -// Node type definitions for the builder +// Node type definitions for the builder - using brand-aligned palette export const NODE_TYPES = [ // Core Flow - { type: 'start', label: 'Start', color: '#22c55e', description: 'Entry point of the workflow', category: 'flow' }, - { type: 'end', label: 'End', color: '#ef4444', description: 'Exit point of the workflow', category: 'flow' }, + { type: 'start', label: 'Start', color: '#63DF4E', description: 'Entry point of the workflow', category: 'flow' }, // Wasabi Green + { type: 'end', label: 'End', color: '#EF4444', description: 'Exit point of the workflow', category: 'flow' }, // Red (standard) // AI Nodes (tools are configured on these nodes via the Tools tab) - { type: 'llm', label: 'LLM', color: '#8b5cf6', description: 'Language model with optional tools', category: 'ai' }, - { type: 'agent', label: 'Agent', color: '#ec4899', description: 'ReAct agent with tool calling', category: 'ai' }, - { type: 'multi_llm', label: 'Multi-LLM', color: '#06b6d4', description: 'Parallel execution across multiple models', category: 'ai' }, + { type: 'llm', label: 'LLM', color: '#7661FF', description: 'Language model with optional tools', category: 'ai' }, // Bright Indigo + { type: 'agent', label: 'Agent', color: '#BF71F2', description: 'ReAct agent with tool calling', category: 'ai' }, // Bright Purple + { type: 'multi_llm', label: 'Multi-LLM', color: '#BF71F2', description: 'Parallel execution across multiple models', category: 'ai' }, // Bright Purple // Data - { type: 'data', label: 'Data', color: '#0ea5e9', description: 'Data source & sink configuration', category: 'data' }, - { type: 'output', label: 'Output', color: '#10b981', description: 'Output mapping & generator', category: 'data' }, + { type: 'data', label: 'Data', color: '#52B8FF', description: 'Data source & sink configuration', category: 'data' }, // Bright Blue + { type: 'output', label: 'Output', color: '#63DF4E', description: 'Output mapping & generator', category: 'data' }, // Wasabi Green // Processing - { type: 'lambda', label: 'Lambda', color: '#f97316', description: 'Custom Python function', category: 'processing' }, - { type: 'weighted_sampler', label: 'Sampler', color: '#a855f7', description: 'Random weighted sampler', category: 'processing' }, - { type: 'subgraph', label: 'Subgraph', color: '#3b82f6', description: 'Nested workflow', category: 'processing' }, + { type: 'lambda', label: 'Lambda', color: '#F97316', description: 'Custom Python function', category: 'processing' }, // Orange + { type: 'weighted_sampler', label: 'Sampler', color: '#7661FF', description: 'Random weighted sampler', category: 'processing' }, // Bright Indigo + { type: 'subgraph', label: 'Subgraph', color: '#032D42', description: 'Nested workflow', category: 'processing' }, // Infinite Blue ] as const; // Node categories for palette grouping diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index eade4b41..626fd6c5 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -480,7 +480,7 @@ {#snippet loadingSpinner()}
- + Loading...
@@ -681,7 +681,7 @@ {:else if currentWorkflow} + {/each} +
+ {/each} +
+ + +
+ + โ†‘โ†“ navigate + + + Enter select + + + Esc close + +
+
+ {/if} +
diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 8299e656..4b44edc3 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -573,6 +573,59 @@ export interface LatencyStats { p99: number; } +/** + * Apply transformation effects to column names. + * Currently handles: + * - RenameFieldsTransform: Renames columns based on mapping + */ +function applyTransformationsToColumns(columns: string[], transformations: TransformConfig[]): string[] { + let result = [...columns]; + + for (const transform of transformations) { + if (!transform.enabled && transform.enabled !== undefined) continue; + + const transformName = transform.transform || ''; + + // Handle RenameFieldsTransform + if (transformName.includes('RenameFieldsTransform') || transformName.includes('rename')) { + const mapping = (transform.params?.mapping || {}) as Record; + const overwrite = transform.params?.overwrite !== false; + + for (const [oldName, newName] of Object.entries(mapping)) { + const oldIndex = result.indexOf(oldName); + if (oldIndex !== -1) { + // Remove old name + result.splice(oldIndex, 1); + // Add new name if not already present or if overwrite is true + if (overwrite || !result.includes(newName)) { + result.push(newName); + } + } + } + } + + // Handle AddFieldsTransform - adds new fields + if (transformName.includes('AddFieldsTransform') || transformName.includes('add_field')) { + const fields = transform.params?.fields as Record | undefined; + if (fields) { + for (const fieldName of Object.keys(fields)) { + if (!result.includes(fieldName)) { + result.push(fieldName); + } + } + } + } + + // Handle RemoveFieldsTransform - removes fields + if (transformName.includes('RemoveFieldsTransform') || transformName.includes('remove_field')) { + const fieldsToRemove = (transform.params?.fields || []) as string[]; + result = result.filter(col => !fieldsToRemove.includes(col)); + } + } + + return result; +} + // Workflow Store function createWorkflowStore() { let workflows = $state([]); @@ -590,6 +643,10 @@ function createWorkflowStore() { let redoStack = $state>([]); let lastUndoTime = 0; + // Data columns cache - stores fetched columns from data sources + // Key is workflow ID, value is array of column names + let dataColumnsCache = $state>({}); + // Push current state to undo stack (call before making changes) function pushUndoState() { if (!currentWorkflow) return; @@ -622,6 +679,7 @@ function createWorkflowStore() { get error() { return error; }, get canUndo() { return undoStack.length > 0; }, get canRedo() { return redoStack.length > 0; }, + get dataColumns() { return currentWorkflow ? (dataColumnsCache[currentWorkflow.id] || []) : []; }, // Push state for undo (call before changes) pushUndo() { @@ -799,6 +857,79 @@ function createWorkflowStore() { } }, + /** + * Fetch and cache data columns for the current workflow's data source. + * Applies transformations (like field renames) to show final column names. + */ + async fetchDataColumns(): Promise { + if (!currentWorkflow) return []; + + const workflowId = currentWorkflow.id; + + // Skip for new unsaved workflows + if (workflowId.startsWith('new_')) { + // For new workflows, try to extract from inline data if available + const dataConfig = currentWorkflow.data_config; + if (dataConfig?.source) { + const sources = Array.isArray(dataConfig.source) ? dataConfig.source : [dataConfig.source]; + const columns: string[] = []; + for (const source of sources) { + if (source.data && Array.isArray(source.data) && source.data.length > 0) { + const firstRecord = source.data[0]; + if (typeof firstRecord === 'object' && firstRecord !== null) { + columns.push(...Object.keys(firstRecord)); + } + } + } + if (columns.length > 0) { + dataColumnsCache[workflowId] = [...new Set(columns)]; + return dataColumnsCache[workflowId]; + } + } + return []; + } + + try { + const response = await fetch(`${API_BASE}/workflows/${encodeURIComponent(workflowId)}/data-columns`); + if (!response.ok) { + console.warn(`[fetchDataColumns] API returned ${response.status}`); + return []; + } + + const data = await response.json(); + let columns = data.columns || []; + + // Apply transformations to column names + const dataConfig = currentWorkflow.data_config; + if (dataConfig?.source) { + const sources = Array.isArray(dataConfig.source) ? dataConfig.source : [dataConfig.source]; + for (const source of sources) { + if (source.transformations && Array.isArray(source.transformations)) { + columns = applyTransformationsToColumns(columns, source.transformations); + } + } + } + + // Cache the result + dataColumnsCache[workflowId] = columns; + return columns; + } catch (e) { + console.error('[fetchDataColumns] Error:', e); + return []; + } + }, + + /** + * Clear cached data columns for a workflow (call when data config changes) + */ + clearDataColumnsCache(workflowId?: string) { + if (workflowId) { + delete dataColumnsCache[workflowId]; + } else if (currentWorkflow) { + delete dataColumnsCache[currentWorkflow.id]; + } + }, + async updateNode(nodeId: string, nodeData: Partial & { newId?: string }) { if (!currentWorkflow) { console.error('updateNode: No current workflow'); @@ -870,6 +1001,38 @@ function createWorkflowStore() { } ); + // Handle 404 - node doesn't exist in backend yet (newly added in builder) + // Fall back to local-only update + if (response.status === 404) { + console.log(`[updateNode] Node ${nodeId} not in backend yet, updating locally`); + const nodeIndex = currentWorkflow.nodes.findIndex(n => n.id === nodeId); + if (nodeIndex !== -1) { + const finalId = newId || nodeId; + const updatedNode: WorkflowNode = { + ...currentWorkflow.nodes[nodeIndex], + ...restNodeData, + id: finalId + }; + const newNodes = [ + ...currentWorkflow.nodes.slice(0, nodeIndex), + updatedNode, + ...currentWorkflow.nodes.slice(nodeIndex + 1) + ]; + if (newId && newId !== nodeId) { + const updatedEdges = currentWorkflow.edges.map(edge => ({ + ...edge, + source: edge.source === nodeId ? newId : edge.source, + target: edge.target === nodeId ? newId : edge.target + })); + currentWorkflow = { ...currentWorkflow, nodes: newNodes, edges: updatedEdges }; + } else { + currentWorkflow = { ...currentWorkflow, nodes: newNodes }; + } + workflowVersion++; + } + return true; + } + if (!response.ok) { const errorData = await response.json(); throw new Error(errorData.detail || 'Failed to update node'); diff --git a/studio/frontend/src/lib/utils/stateVariables.ts b/studio/frontend/src/lib/utils/stateVariables.ts new file mode 100644 index 00000000..d9513944 --- /dev/null +++ b/studio/frontend/src/lib/utils/stateVariables.ts @@ -0,0 +1,505 @@ +/** + * State Variables Utility + * + * Collects and manages state variables from the workflow graph. + * Variables come from multiple sources: + * - Data source columns (from data_config) + * - Node output_keys (from upstream nodes) + * - Weighted sampler attributes + * - Framework-provided variables (messages, id, etc.) + */ + +import type { Workflow, WorkflowNode, WorkflowEdge, DataSourceConfig } from '$lib/stores/workflow.svelte'; + +export interface StateVariable { + name: string; + source: 'data' | 'output' | 'sampler' | 'framework' | 'prompt'; + sourceNode?: string; // Node ID that produces this variable + description?: string; +} + +export interface StateVariablesResult { + variables: StateVariable[]; + bySource: { + data: StateVariable[]; + output: StateVariable[]; + sampler: StateVariable[]; + framework: StateVariable[]; + }; +} + +/** + * Framework-provided state variables that are always available + */ +const FRAMEWORK_VARIABLES: StateVariable[] = [ + { name: 'messages', source: 'framework', description: 'Message history for the conversation' }, + { name: 'id', source: 'framework', description: 'Record ID from data source' }, +]; + +/** + * Extract column names from data source configuration. + * Uses fetchedColumns if available (from API), otherwise falls back to inline data. + * + * @param dataConfig The data source configuration + * @param fetchedColumns Optional pre-fetched columns from the API (with transformations applied) + */ +function extractDataColumns(dataConfig?: DataSourceConfig, fetchedColumns?: string[]): StateVariable[] { + const variables: StateVariable[] = []; + + // If we have fetched columns (from API), use them directly + if (fetchedColumns && fetchedColumns.length > 0) { + for (const colName of fetchedColumns) { + if (!variables.some(v => v.name === colName)) { + variables.push({ + name: colName, + source: 'data', + sourceNode: 'DATA', + description: 'Column from data source' + }); + } + } + return variables; + } + + // Fallback: Extract from data config (for inline data) + if (!dataConfig?.source) return []; + + const sources = Array.isArray(dataConfig.source) ? dataConfig.source : [dataConfig.source]; + + for (const source of sources) { + // Extract from inline data (memory type) + if (source.data && Array.isArray(source.data) && source.data.length > 0) { + const firstRecord = source.data[0]; + if (typeof firstRecord === 'object' && firstRecord !== null) { + for (const key of Object.keys(firstRecord)) { + if (!variables.some(v => v.name === key)) { + variables.push({ + name: key, + source: 'data', + sourceNode: 'DATA', + description: `Column from data source${source.alias ? ` (${source.alias})` : ''}` + }); + } + } + } + } + } + + return variables; +} + +/** + * Extract output_keys from a node + */ +function extractOutputKeys(node: WorkflowNode): StateVariable[] { + if (!node.output_keys) return []; + + const keys = Array.isArray(node.output_keys) ? node.output_keys : [node.output_keys]; + + return keys.map(key => ({ + name: key, + source: 'output' as const, + sourceNode: node.id, + description: `Output from ${node.summary || node.id}` + })); +} + +/** + * Extract attributes from weighted sampler nodes + */ +function extractSamplerAttributes(node: WorkflowNode): StateVariable[] { + if (node.node_type !== 'weighted_sampler' || !node.sampler_config?.attributes) { + return []; + } + + return Object.keys(node.sampler_config.attributes).map(attr => ({ + name: attr, + source: 'sampler' as const, + sourceNode: node.id, + description: `Sampled attribute from ${node.summary || node.id}` + })); +} + +/** + * Get upstream nodes for a given node (nodes that execute before it) + * Uses topological ordering based on edges + */ +function getUpstreamNodes(nodeId: string, nodes: WorkflowNode[], edges: WorkflowEdge[]): Set { + const upstream = new Set(); + const visited = new Set(); + + function traverse(currentId: string) { + if (visited.has(currentId)) return; + visited.add(currentId); + + // Find all edges that target this node + const incomingEdges = edges.filter(e => e.target === currentId); + + for (const edge of incomingEdges) { + if (edge.source !== 'START') { + upstream.add(edge.source); + traverse(edge.source); + } + } + } + + traverse(nodeId); + return upstream; +} + +/** + * Collect all state variables available for a specific node + * Only includes variables from upstream nodes (that execute before this node) + * + * @param workflow The workflow containing nodes and edges + * @param nodeId The ID of the node to collect variables for + * @param fetchedColumns Optional pre-fetched columns from the API (with transformations applied) + */ +export function collectStateVariablesForNode( + workflow: Workflow | null, + nodeId: string, + fetchedColumns?: string[] +): StateVariablesResult { + const result: StateVariablesResult = { + variables: [], + bySource: { + data: [], + output: [], + sampler: [], + framework: [] + } + }; + + if (!workflow) return result; + + // Get upstream nodes + const upstreamNodeIds = getUpstreamNodes(nodeId, workflow.nodes, workflow.edges); + + // Always include DATA node's variables if it exists + const dataNode = workflow.nodes.find(n => n.node_type === 'data'); + if (dataNode) { + const dataVars = extractDataColumns(dataNode.data_config, fetchedColumns); + result.bySource.data.push(...dataVars); + result.variables.push(...dataVars); + } + + // Also check workflow-level data_config (skip if fetchedColumns already provided) + if (workflow.data_config && !fetchedColumns) { + const workflowDataVars = extractDataColumns(workflow.data_config); + for (const v of workflowDataVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.data.push(v); + result.variables.push(v); + } + } + } + + // Collect from upstream nodes + for (const node of workflow.nodes) { + if (!upstreamNodeIds.has(node.id) && node.id !== 'DATA') continue; + + // Output keys + const outputVars = extractOutputKeys(node); + for (const v of outputVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.output.push(v); + result.variables.push(v); + } + } + + // Sampler attributes + const samplerVars = extractSamplerAttributes(node); + for (const v of samplerVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.sampler.push(v); + result.variables.push(v); + } + } + } + + // Add framework variables + for (const v of FRAMEWORK_VARIABLES) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.framework.push(v); + result.variables.push(v); + } + } + + return result; +} + +/** + * Collect ALL state variables in the workflow (for overview purposes) + */ +export function collectAllStateVariables(workflow: Workflow | null): StateVariablesResult { + const result: StateVariablesResult = { + variables: [], + bySource: { + data: [], + output: [], + sampler: [], + framework: [] + } + }; + + if (!workflow) return result; + + // Data node variables + const dataNode = workflow.nodes.find(n => n.node_type === 'data'); + if (dataNode) { + const dataVars = extractDataColumns(dataNode.data_config); + result.bySource.data.push(...dataVars); + result.variables.push(...dataVars); + } + + // Workflow-level data_config + if (workflow.data_config) { + const workflowDataVars = extractDataColumns(workflow.data_config); + for (const v of workflowDataVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.data.push(v); + result.variables.push(v); + } + } + } + + // All nodes + for (const node of workflow.nodes) { + // Output keys + const outputVars = extractOutputKeys(node); + for (const v of outputVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.output.push(v); + result.variables.push(v); + } + } + + // Sampler attributes + const samplerVars = extractSamplerAttributes(node); + for (const v of samplerVars) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.sampler.push(v); + result.variables.push(v); + } + } + } + + // Framework variables + for (const v of FRAMEWORK_VARIABLES) { + if (!result.variables.some(existing => existing.name === v.name)) { + result.bySource.framework.push(v); + result.variables.push(v); + } + } + + return result; +} + +/** + * Filter variables by search query + */ +export function filterVariables(variables: StateVariable[], query: string): StateVariable[] { + if (!query) return variables; + const lowerQuery = query.toLowerCase(); + return variables.filter(v => + v.name.toLowerCase().includes(lowerQuery) || + v.description?.toLowerCase().includes(lowerQuery) + ); +} + +/** + * Represents a variable reference found in a prompt + */ +export interface VariableReference { + name: string; + startIndex: number; + endIndex: number; + isValid: boolean; + isEscaped: boolean; // True if {{ or }} +} + +/** + * Validation result for a prompt + */ +export interface PromptValidationResult { + isValid: boolean; + references: VariableReference[]; + invalidReferences: VariableReference[]; + errors: PromptValidationError[]; +} + +export interface PromptValidationError { + type: 'undefined_variable' | 'syntax_error'; + message: string; + variableName?: string; + position: { start: number; end: number }; +} + +/** + * Parse a prompt string to extract all variable references. + * Handles escaped braces ({{ and }}) correctly. + * + * Valid patterns: + * - {variable_name} - variable reference + * - {{literal}} - escaped, not a variable (renders as {literal}) + * + * @param prompt The prompt string to parse + * @returns Array of variable references found + */ +export function parseVariableReferences(prompt: string): VariableReference[] { + const references: VariableReference[] = []; + + if (!prompt) return references; + + // Regex to match {word} but not {{word}} or {word}} + // We need to be careful about escaped braces + let i = 0; + while (i < prompt.length) { + // Check for escaped opening brace {{ + if (prompt[i] === '{' && prompt[i + 1] === '{') { + // Find the closing }} + let j = i + 2; + let depth = 1; + while (j < prompt.length && depth > 0) { + if (prompt[j] === '{' && prompt[j + 1] === '{') { + depth++; + j++; + } else if (prompt[j] === '}' && prompt[j + 1] === '}') { + depth--; + if (depth === 0) { + // This is an escaped/literal brace, skip it + references.push({ + name: prompt.substring(i + 2, j), + startIndex: i, + endIndex: j + 2, + isValid: true, // Escaped braces are always valid + isEscaped: true + }); + i = j + 2; + break; + } + j++; + } + j++; + } + if (depth > 0) { + // Unclosed escaped brace, move past the {{ + i += 2; + } + continue; + } + + // Check for single opening brace { + if (prompt[i] === '{') { + const startIndex = i; + i++; + + // Read the variable name (alphanumeric, underscore, dot allowed) + let varName = ''; + while (i < prompt.length && prompt[i] !== '}' && prompt[i] !== '{' && prompt[i] !== '\n') { + varName += prompt[i]; + i++; + } + + // Check if properly closed with single } + if (i < prompt.length && prompt[i] === '}') { + // Make sure it's not }} (which would be an error in this context) + const isDoubleClose = prompt[i + 1] === '}'; + + if (!isDoubleClose && varName.trim()) { + references.push({ + name: varName.trim(), + startIndex, + endIndex: i + 1, + isValid: false, // Will be validated later + isEscaped: false + }); + } + i++; + } + // If not closed properly, just continue + continue; + } + + i++; + } + + return references; +} + +/** + * Validate variable references in a prompt against available variables + * + * @param prompt The prompt string to validate + * @param availableVariables List of valid variable names + * @returns Validation result with errors + */ +export function validatePromptVariables( + prompt: string, + availableVariables: StateVariable[] +): PromptValidationResult { + const references = parseVariableReferences(prompt); + const availableNames = new Set(availableVariables.map(v => v.name)); + + const errors: PromptValidationError[] = []; + const invalidReferences: VariableReference[] = []; + + for (const ref of references) { + // Skip escaped references (they're literal text) + if (ref.isEscaped) { + ref.isValid = true; + continue; + } + + // Check if variable exists + if (availableNames.has(ref.name)) { + ref.isValid = true; + } else { + ref.isValid = false; + invalidReferences.push(ref); + errors.push({ + type: 'undefined_variable', + message: `Variable "{${ref.name}}" is not defined. Check if the upstream node has this output_key or if it's a valid data column.`, + variableName: ref.name, + position: { start: ref.startIndex, end: ref.endIndex } + }); + } + } + + return { + isValid: errors.length === 0, + references, + invalidReferences, + errors + }; +} + +/** + * Validate all prompts in a node + */ +export function validateNodePrompts( + prompts: Array<{ role: string; content: string }> | undefined, + availableVariables: StateVariable[] +): PromptValidationResult { + if (!prompts || prompts.length === 0) { + return { isValid: true, references: [], invalidReferences: [], errors: [] }; + } + + const allReferences: VariableReference[] = []; + const allInvalidReferences: VariableReference[] = []; + const allErrors: PromptValidationError[] = []; + + for (const prompt of prompts) { + const result = validatePromptVariables(prompt.content, availableVariables); + allReferences.push(...result.references); + allInvalidReferences.push(...result.invalidReferences); + allErrors.push(...result.errors); + } + + return { + isValid: allErrors.length === 0, + references: allReferences, + invalidReferences: allInvalidReferences, + errors: allErrors + }; +} diff --git a/studio/graph_builder.py b/studio/graph_builder.py index fbd89429..382f6c81 100644 --- a/studio/graph_builder.py +++ b/studio/graph_builder.py @@ -260,8 +260,8 @@ def _build_node( if "prompt" in node_config: prompts = self._parse_prompts(node_config["prompt"]) - # Build summary from node config - summary = node_config.get("summary", node_name.replace("_", " ").title()) + # Build summary from node config (node_name in YAML, with fallback to legacy 'summary') + summary = node_config.get("node_name") or node_config.get("summary") or node_name.replace("_", " ").title() # For subgraph nodes, try to load and expand the inner graph inner_graph = None @@ -279,6 +279,9 @@ def _build_node( # Extract node_config_map for subgraph nodes (allows overriding inner node configs) node_config_map = node_config.get("node_config_map") if node_type == NodeType.SUBGRAPH else None + # Extract output_keys for LLM/multi_llm nodes + output_keys = node_config.get("output_keys") + return WorkflowNode( id=node_name, node_type=node_type, @@ -290,6 +293,7 @@ def _build_node( pre_process=node_config.get("pre_process"), post_process=node_config.get("post_process"), multi_llm_post_process=multi_llm_post_process, + output_keys=output_keys, subgraph_path=subgraph_path, inner_graph=inner_graph, node_config_map=node_config_map, @@ -536,7 +540,7 @@ def _parse_inline_inner_graph( inner_node = WorkflowNode( id=node_id, node_type=node_type, - summary=node_config.get("summary", node_id.replace("_", " ").title()), + summary=node_config.get("node_name") or node_config.get("summary") or node_id.replace("_", " ").title(), position=position, size=size, inner_graph=nested_inner_graph, diff --git a/studio/models.py b/studio/models.py index 0ef530ce..887c0314 100644 --- a/studio/models.py +++ b/studio/models.py @@ -92,6 +92,7 @@ class WorkflowNode(BaseModel): pre_process: Optional[str] = None post_process: Optional[str] = None multi_llm_post_process: Optional[str] = None # For multi_llm nodes + output_keys: Optional[Union[str, List[str]]] = None # Custom output key(s) for LLM/multi_llm nodes # For subgraph nodes subgraph_path: Optional[str] = None From f0d49cca527ae82c4d737c87187f4a6209117f37 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Tue, 13 Jan 2026 15:14:37 +0530 Subject: [PATCH 17/20] fix(studio): UI builder fixes and enhancements --- .../components/graph/NodeDetailsPanel.svelte | 98 ++---- .../components/ui/StateVariableInput.svelte | 300 ++++++++++++++++++ .../src/lib/stores/workflow.svelte.ts | 71 ++--- studio/frontend/src/routes/+page.svelte | 72 ++++- 4 files changed, 403 insertions(+), 138 deletions(-) create mode 100644 studio/frontend/src/lib/components/ui/StateVariableInput.svelte diff --git a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte index c4e4b5f9..877aaa50 100644 --- a/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte +++ b/studio/frontend/src/lib/components/graph/NodeDetailsPanel.svelte @@ -12,6 +12,7 @@ import PanelTabs from '$lib/components/panel/PanelTabs.svelte'; import DataConfigSection from '$lib/components/data/DataConfigSection.svelte'; import PromptTextarea from '$lib/components/ui/PromptTextarea.svelte'; + import StateVariableInput from '$lib/components/ui/StateVariableInput.svelte'; import { collectStateVariablesForNode, validateNodePrompts, type StateVariable, type PromptValidationResult } from '$lib/utils/stateVariables'; import type { DataSourceDetails, DataSinkDetails, TransformConfig } from '$lib/stores/workflow.svelte'; @@ -973,69 +974,10 @@ class ${dataClassName}Transform: // Initialize output node edit state if (node.node_type === 'output') { - // Generate stub code as fallback - const outputClassName = (node.id || 'Output').replace(/-/g, '_').replace(/\s+/g, '').replace(/[^a-zA-Z0-9_]/g, ''); - const outputGeneratorStub = `"""Output generator for ${node.summary || node.id}.""" -from typing import Any, Dict, List -from sygra.core.graph.sygra_state import SygraState -from sygra.processors.output_record_generator import BaseOutputGenerator -from sygra.utils import utils - - -class ${outputClassName}OutputGenerator(BaseOutputGenerator): - """Generate output records from workflow state. - - Inherits from BaseOutputGenerator which handles output_map resolution. - Define custom transform methods referenced in output_map config. - """ - - def generate(self, state: SygraState) -> Dict[str, Any]: - """Generate the final output record. - - Args: - state: Current workflow state with all variables - - Returns: - Dict[str, Any]: The final output record - """ - # Default: Use parent class to resolve output_map - return super().generate(state) - - # Custom transform methods (referenced in output_map "transform" field) - # The method name must match the transform name in config - - def build_conversation(self, data: Any, state: SygraState) -> List[Dict]: - """Example transform: Convert messages to chat format. - - Args: - data: The data from 'from' or 'value' in output_map - state: Current workflow state - - Returns: - Transformed data - """ - # Example: Convert LangChain messages to chat format - # chat_messages = utils.convert_messages_from_langchain_to_chat_format(data) - # chat_messages.insert(0, {"role": "user", "content": state["question"]}) - # return chat_messages - - return data - - def format_output(self, data: Any, state: SygraState) -> str: - """Example transform: Format data as string. - - Args: - data: The data to format - state: Current workflow state - - Returns: - Formatted string - """ - return str(data) -`; - - // Start with stub code as default - editOutputGeneratorCode = outputGeneratorStub; + // Reset state - don't add default generator code + editOutputGeneratorCode = ''; + editOutputGenerator = ''; + editOutputMappings = []; // Reset fetched code state fetchedGeneratorCode = ''; @@ -1414,13 +1356,14 @@ class ${outputClassName}OutputGenerator(BaseOutputGenerator): if (editOutputGenerator) { outputConfig.generator = editOutputGenerator; } - // Include generator code if present - if (editOutputGeneratorCode && editOutputGeneratorCode.trim()) { + // Only include generator code if generator is set and code exists + if (editOutputGenerator && editOutputGeneratorCode && editOutputGeneratorCode.trim()) { outputConfig._generator_code = editOutputGeneratorCode; } if (editOutputMappings.length > 0) { outputConfig.output_map = {}; editOutputMappings.forEach(m => { + if (!m.key) return; // Skip mappings without a key const mapping: any = {}; if (m.from) mapping.from = m.from; if (m.value) { @@ -1429,8 +1372,15 @@ class ${outputClassName}OutputGenerator(BaseOutputGenerator): if (m.transform) mapping.transform = m.transform; outputConfig.output_map[m.key] = mapping; }); + // Remove output_map if it ended up empty (all mappings had no key) + if (Object.keys(outputConfig.output_map).length === 0) { + delete outputConfig.output_map; + } + } + // Only set output_config if it has content + if (Object.keys(outputConfig).length > 0) { + updates.output_config = outputConfig; } - updates.output_config = outputConfig; } // Handle weighted sampler config updates @@ -1972,7 +1922,7 @@ class ${outputClassName}OutputGenerator(BaseOutputGenerator): onSave={saveChanges} showCopyId={!!node} showDuplicate={!!node && !!onDuplicate && node.node_type !== 'start' && node.node_type !== 'end'} - showDelete={!!node && node.node_type !== 'start' && node.node_type !== 'end' && !isEditing} + showDelete={!!node && node.node_type !== 'start' && node.node_type !== 'end'} {onDuplicate} onDelete={requestDeleteNode} onClose={() => dispatch('close')} @@ -2059,8 +2009,8 @@ class ${outputClassName}OutputGenerator(BaseOutputGenerator):
{/if} - - {#if node.node_type === 'llm'} + + {#if node.node_type === 'llm' || node.node_type === 'agent'}
Model @@ -2267,13 +2217,11 @@ class ${outputClassName}OutputGenerator(BaseOutputGenerator):
From State - updateOutputMapping(idx, 'from', e.currentTarget.value)} - placeholder="state_variable" - aria-label="From state" - class="w-full px-3 py-2 text-sm border border-gray-300 dark:border-gray-600 rounded-lg bg-white dark:bg-gray-800 text-gray-800 dark:text-gray-200 font-mono focus:ring-2 focus:ring-[#52B8FF]" + variables={availableStateVariables().variables} + placeholder="Select state variable..." + oninput={(val) => updateOutputMapping(idx, 'from', val)} />
diff --git a/studio/frontend/src/lib/components/ui/StateVariableInput.svelte b/studio/frontend/src/lib/components/ui/StateVariableInput.svelte new file mode 100644 index 00000000..4b45cc20 --- /dev/null +++ b/studio/frontend/src/lib/components/ui/StateVariableInput.svelte @@ -0,0 +1,300 @@ + + +
+
+
+ +
+ {#if value} + + {/if} + +
+
+
+ + {#if showDropdown && filteredVariables.length > 0} +
+ +
+ {#each getGroupedVariables() as group} +
+ +
+ + {group.label} +
+ + {#each group.variables as variable} + {@const globalIdx = filteredVariables.indexOf(variable)} + + {/each} +
+ {/each} +
+ + +
+ + โ†‘โ†“ navigate + + + Enter select + + + Esc close + +
+
+ {:else if showDropdown && filteredVariables.length === 0} +
+
+ No matching variables found +
+
+ {/if} +
diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 4b44edc3..1db6cf94 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -1236,6 +1236,25 @@ function createWorkflowStore() { return newNode; }, + // Add a complete node to the current workflow (for duplicating, importing, etc.) + addFullNode(node: WorkflowNode): WorkflowNode | null { + if (!currentWorkflow) return null; + + // Check if node with this ID already exists + if (currentWorkflow.nodes.some(n => n.id === node.id)) { + console.warn(`[addFullNode] Node with ID ${node.id} already exists`); + return null; + } + + currentWorkflow = { + ...currentWorkflow, + nodes: [...currentWorkflow.nodes, node] + }; + + workflowVersion++; + return node; + }, + // Add an edge to the current workflow addEdge(source: string, target: string, isConditional: boolean = false) { if (!currentWorkflow) return null; @@ -1403,33 +1422,14 @@ function createWorkflowStore() { }, // Delete a node (async version with return value) + // NOTE: This method updates LOCAL state only. Changes are persisted when saveWorkflow() is called. + // This ensures that Cancel/Discard works properly and doesn't lose other unsaved changes. async deleteNode(nodeId: string): Promise { if (!currentWorkflow) return false; if (nodeId === 'START' || nodeId === 'END') return false; // Can't remove start/end - // Check if this is a new workflow (not yet saved to backend) - const isNewWorkflow = currentWorkflow.id.startsWith('new_'); - try { - // For existing workflows, call the API to persist changes - if (!isNewWorkflow) { - const response = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}/nodes/${nodeId}`, { - method: 'DELETE' - }); - if (!response.ok) { - const errorData = await response.json().catch(() => ({})); - throw new Error(errorData.detail || 'Failed to delete node'); - } - // Reload workflow from backend to get consistent state - const reloadResponse = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}`); - if (reloadResponse.ok) { - currentWorkflow = await reloadResponse.json(); - workflowVersion++; - return true; - } - } - - // For new workflows or as fallback, update local state + // Update local state only - changes will be persisted via saveWorkflow() currentWorkflow = { ...currentWorkflow, nodes: currentWorkflow.nodes.filter(n => n.id !== nodeId), @@ -1444,6 +1444,8 @@ function createWorkflowStore() { }, // Remove an edge from the current workflow + // NOTE: This method updates LOCAL state only. Changes are persisted when saveWorkflow() is called. + // This ensures that Cancel/Discard works properly and doesn't lose other unsaved changes. async removeEdge(edgeId: string): Promise { if (!currentWorkflow) return false; @@ -1469,31 +1471,8 @@ function createWorkflowStore() { if (!edgeToRemove) return false; - // Check if this is a new workflow (not yet saved to backend) - const isNewWorkflow = currentWorkflow.id.startsWith('new_'); - try { - // For existing workflows, call the API to persist changes - if (!isNewWorkflow) { - // Use source-target format for edge ID - const apiEdgeId = `${edgeToRemove.source}-${edgeToRemove.target}`; - const response = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}/edges/${apiEdgeId}`, { - method: 'DELETE' - }); - if (!response.ok) { - const errorData = await response.json().catch(() => ({})); - throw new Error(errorData.detail || 'Failed to delete edge'); - } - // Reload workflow from backend to get consistent state - const reloadResponse = await fetch(`${API_BASE}/workflows/${currentWorkflow.id}`); - if (reloadResponse.ok) { - currentWorkflow = await reloadResponse.json(); - workflowVersion++; - return true; - } - } - - // For new workflows or as fallback, update local state + // Update local state only - changes will be persisted via saveWorkflow() currentWorkflow = { ...currentWorkflow, edges: currentWorkflow.edges.filter(e => e.id !== edgeToRemove!.id) diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index 626fd6c5..00fdf73e 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -5,7 +5,7 @@ import UnsavedChangesModal from '$lib/components/builder/UnsavedChangesModal.svelte'; // WorkflowBuilder needs static import for proper drag-drop functionality import WorkflowBuilder from '$lib/components/builder/WorkflowBuilder.svelte'; - import { Play, StopCircle, LayoutGrid, Loader2 } from 'lucide-svelte'; + import { Play, StopCircle, LayoutGrid, Loader2, Edit } from 'lucide-svelte'; // Dynamic component types type SvelteComponent = typeof import('svelte').SvelteComponent; @@ -319,13 +319,25 @@ uiStore.confirmPendingNavigation(); } - function handleDiscardChanges() { + async function handleDiscardChanges() { // Clear the draft if (workflowBuilderRef) { workflowBuilderRef.clearDraftNow(); } - // Clear workflow since user is discarding changes - workflowStore.clearCurrentWorkflow(); + + // For existing workflows, reload from backend to restore original state + // For new workflows, just clear + const existingWorkflowId = currentWorkflow?.id; + const isExistingWorkflow = existingWorkflowId && !existingWorkflowId.startsWith('new_'); + + if (isExistingWorkflow) { + // Reload the original workflow from backend + await workflowStore.loadWorkflow(existingWorkflowId); + } else { + // Clear workflow since it's a new unsaved workflow + workflowStore.clearCurrentWorkflow(); + } + uiStore.confirmPendingNavigation(); } @@ -441,26 +453,30 @@ const nextNum = existingIds.length > 0 ? Math.max(...existingIds) + 1 : 1; const newId = `${nodeType}_${nextNum}`; + // Deep clone the node using JSON (works for serializable workflow data) + // and update ID/summary/position const newNode = { - ...structuredClone(node), + ...JSON.parse(JSON.stringify(node)), id: newId, summary: `${node.summary} (Copy)`, - position: node.position ? { - x: node.position.x + 100, - y: node.position.y + 50 - } : undefined + position: { + x: (node.position?.x ?? 400) + 100, + y: (node.position?.y ?? 200) + 50 + } }; - // Add the duplicated node to the workflow - workflowStore.updateNode(newId, newNode); + // Add the duplicated node to the workflow using addFullNode + const addedNode = workflowStore.addFullNode(newNode); - // Sync the builder UI - if (workflowBuilderRef) { - workflowBuilderRef.syncNodesFromStore(); - } + if (addedNode) { + // Sync the builder UI + if (workflowBuilderRef) { + workflowBuilderRef.syncNodesFromStore(); + } - // Select the new node - uiStore.selectNode(newId); + // Select the new node + uiStore.selectNode(newId); + } } // Handle YAML saved in code panel - reload workflow and sync visual UI @@ -474,6 +490,20 @@ workflowBuilderRef.syncEdgesFromStore(); } } + + // Handle Edit in Builder from workflow canvas view + function handleEditInBuilder() { + if (!currentWorkflow) return; + // Switch to builder view (workflow is already loaded) + uiStore.setView('builder'); + // Update URL + const url = new URL(window.location.href); + url.searchParams.set('view', 'builder'); + url.searchParams.set('workflow', currentWorkflow.id); + import('$app/navigation').then(({ pushState }) => { + pushState(url.toString(), {}); + }); + } @@ -661,6 +691,14 @@
{#if currentWorkflow} +
{:else if MonacoEditor} void) | null = null; onMount(async () => { // Subscribe to global theme changes @@ -164,6 +165,55 @@ } }); + // Handle Cmd/Ctrl+V - we handle ALL paste attempts to ensure consistency + // Monaco's hasTextFocus() is unreliable and causes alternating behavior + keydownHandler = (e: KeyboardEvent) => { + const isMac = navigator.platform.toUpperCase().indexOf('MAC') >= 0; + const isPasteShortcut = (isMac ? e.metaKey : e.ctrlKey) && e.key === 'v'; + + if (!isPasteShortcut || readonly || !editor) return; + + // Check if the event target is within our editor's DOM tree + const target = e.target as HTMLElement; + const wrapper = container.parentElement; + const isInEditor = container.contains(target) || wrapper?.contains(target); + + if (!isInEditor) { + return; + } + + // Always handle paste ourselves for consistency + // Don't rely on hasTextFocus() which is unreliable + e.preventDefault(); + e.stopPropagation(); + + // Ensure editor has focus + if (!editor.hasTextFocus()) { + editor.focus(); + } + + // Read clipboard and paste + navigator.clipboard.readText().then(text => { + if (text && editor) { + const selection = editor.getSelection(); + if (selection) { + editor.pushUndoStop(); + editor.executeEdits('paste', [{ + range: selection, + text: text, + forceMoveMarkers: true + }]); + editor.pushUndoStop(); + } + } + }).catch(() => { + // Clipboard read failed - this shouldn't happen with user gesture + console.warn('Clipboard read failed'); + }); + }; + // Add to document to catch events reliably + document.addEventListener('keydown', keydownHandler, true); + // Ctrl+S / Cmd+S to save editor.addCommand(monaco.KeyMod.CtrlCmd | monaco.KeyCode.KeyS, () => { dispatch('save'); @@ -271,6 +321,11 @@ unsubscribeTheme(); unsubscribeTheme = null; } + // Remove keydown handler from document + if (keydownHandler) { + document.removeEventListener('keydown', keydownHandler, true); + keydownHandler = null; + } if (editor) { editor.dispose(); editor = null; @@ -376,7 +431,13 @@ } -
+
editor?.focus()} + onmousedown={() => editor?.focus()} + role="textbox" + tabindex="-1" +> {#if !isInitialized}
- import { createEventDispatcher, onMount } from 'svelte'; + import { createEventDispatcher, onMount, tick } from 'svelte'; import { X, Bot, Zap, Link, Play, Square, Globe, Boxes, Save, ChevronDown, ChevronRight, Code, Settings, MessageSquare, Info, GitBranch, Plus, Trash2, Edit3, GripVertical, Database, Download, Cloud, Server, HardDrive, ArrowRight, Map as MapIcon, Shuffle, Wrench, AlertCircle, Library, Eye, EyeOff, Loader2, Layers, Copy, GitCompareArrows, Thermometer, Variable, Check, Search, AlertTriangle } from 'lucide-svelte'; import { workflowStore, type WorkflowNode, type NodeExecutionState, type PromptMessage, type NodeConfigOverride, type InnerGraph } from '$lib/stores/workflow.svelte'; import { toolStore } from '$lib/stores/tool.svelte'; @@ -90,6 +90,12 @@ let isSaving = $state(false); let hasChanges = $state(false); + // Track last initialized node to prevent re-initialization on save + let lastInitializedNodeId = ''; + + // Track workflow ID for data columns fetch optimization + let lastFetchedWorkflowId = ''; + // Editable fields let editNodeId = $state(''); let editSummary = $state(''); @@ -105,6 +111,8 @@ let preProcessCodeLoaded = $state(false); let postProcessCodeLoaded = $state(false); let lambdaCodeLoaded = $state(false); + let outputGeneratorCodeLoaded = $state(false); + let dataTransformCodeLoaded = $state(false); let isLoadingCode = $state(false); // Code content for Monaco editor (for inline code editing) @@ -233,6 +241,9 @@ let variableFilter = $state(''); let copiedVariable = $state(null); + // Code tab editor ref for focus management + let codeEditorRef: { focus: () => void } | null = $state(null); + // Filtered variables based on search let filteredStateVariables = $derived(() => { const vars = availableStateVariables(); @@ -263,10 +274,11 @@ }, 1500); } - // Fetch data columns when workflow is available + // Fetch data columns when workflow is available (only on workflow change, not node save) $effect(() => { const workflow = workflowStore.currentWorkflow; - if (workflow && workflow.data_config) { + if (workflow && workflow.data_config && workflow.id !== lastFetchedWorkflowId) { + lastFetchedWorkflowId = workflow.id; // Fetch columns in the background workflowStore.fetchDataColumns(); } @@ -527,12 +539,23 @@ { id: 'settings', label: 'Settings', icon: Settings, hidden: false } ]); + // Track when code tab is activated for auto-focus + let codeTabJustActivated = $state(false); + // Handle tab change function handleTabChange(tabId: string) { activeTab = tabId as TabId; if (node?.node_type) { panelStore.setLastTab(node.node_type, tabId); } + // Set flag for auto-focus when switching to code tab + if (tabId === 'code') { + codeTabJustActivated = true; + // Reset flag after Monaco has time to load and focus + setTimeout(() => { + codeTabJustActivated = false; + }, 500); + } } // Handle connection navigation @@ -551,7 +574,7 @@ // Get current workflow for resolving file paths let currentWorkflow = $derived(workflowStore.currentWorkflow); - // Fetch code content from backend + // Fetch code content from backend (legacy - uses file path) async function fetchCodeContent(filePath: string, workflowId?: string): Promise { try { const params = new URLSearchParams({ file_path: filePath }); @@ -569,6 +592,34 @@ return null; } + // Fetch node code directly from task_executor.py using AST-based detection + // This is the single source of truth - no metadata copies + async function fetchNodeCode(workflowId: string, nodeId: string, codeType: string): Promise { + try { + const response = await fetch(`/api/workflows/${encodeURIComponent(workflowId)}/node/${encodeURIComponent(nodeId)}/code/${encodeURIComponent(codeType)}`); + if (response.ok) { + const text = await response.text(); + if (!text) { + console.log(`Empty response for ${codeType} code for node ${nodeId}`); + return null; + } + try { + const data = JSON.parse(text); + if (data && data.found && data.code) { + return data.code; + } + } catch (parseError) { + console.error(`Failed to parse JSON for ${codeType} code for node ${nodeId}:`, text.substring(0, 100)); + } + } else { + console.log(`Non-OK response (${response.status}) for ${codeType} code for node ${nodeId}`); + } + } catch (e) { + console.error(`Failed to fetch ${codeType} code for node ${nodeId}:`, e); + } + return null; + } + // Track code load errors for debugging let codeLoadError = $state(null); @@ -576,52 +627,86 @@ async function loadExistingCode() { if (!node || !currentWorkflow) return; + // Capture node info at start to handle race conditions + const nodeId = node.id; + const nodeType = node.node_type; + const workflowId = currentWorkflow.id; + isLoadingCode = true; codeLoadError = null; preProcessCodeLoaded = false; postProcessCodeLoaded = false; lambdaCodeLoaded = false; + outputGeneratorCodeLoaded = false; + dataTransformCodeLoaded = false; - console.log('loadExistingCode: Starting for node', node.id, { - pre_process: node.pre_process, - post_process: node.post_process, - function_path: node.function_path, - workflow_id: currentWorkflow.id + console.log('loadExistingCode: Starting for node', nodeId, { + workflow_id: workflowId }); try { - // Fetch pre-process code if path exists - if (node.pre_process) { - console.log('Fetching pre_process:', node.pre_process); - const content = await fetchCodeContent(node.pre_process, currentWorkflow.id); - console.log('pre_process result:', content ? 'loaded' : 'failed'); - if (content) { - preProcessCode = content; - preProcessCodeLoaded = true; + // Fetch code directly from task_executor.py using AST-based detection + // This is the single source of truth - no metadata copies + + // Fetch pre-process code + const preContent = await fetchNodeCode(workflowId, nodeId, 'pre_process'); + // Check if node changed during await + if (!node || node.id !== nodeId) return; + if (preContent) { + preProcessCode = preContent; + preProcessCodeLoaded = true; + console.log('pre_process loaded from task_executor.py'); + } + + // Fetch post-process code + const postContent = await fetchNodeCode(workflowId, nodeId, 'post_process'); + if (!node || node.id !== nodeId) return; + if (postContent) { + postProcessCode = postContent; + postProcessCodeLoaded = true; + console.log('post_process loaded from task_executor.py'); + } + + // Fetch lambda function code + if (nodeType === 'lambda') { + const lambdaContent = await fetchNodeCode(workflowId, nodeId, 'lambda'); + if (!node || node.id !== nodeId) return; + if (lambdaContent) { + lambdaCode = lambdaContent; + lambdaCodeLoaded = true; + console.log('lambda loaded from task_executor.py'); } } - // Fetch post-process code if path exists - if (node.post_process) { - console.log('Fetching post_process:', node.post_process); - const content = await fetchCodeContent(node.post_process, currentWorkflow.id); - console.log('post_process result:', content ? `loaded (${content.length} chars)` : 'failed'); - if (content) { - postProcessCode = content; - postProcessCodeLoaded = true; - } else { - codeLoadError = `Failed to load post_process from ${node.post_process}`; + // Fetch branch condition code + if (nodeType === 'branch') { + const branchContent = await fetchNodeCode(workflowId, nodeId, 'branch_condition'); + if (!node || node.id !== nodeId) return; + if (branchContent) { + branchConditionCode = branchContent; + console.log('branch_condition loaded from task_executor.py'); } } - // Fetch lambda function code if path exists - if (node.function_path && node.node_type === 'lambda') { - console.log('Fetching function_path:', node.function_path); - const content = await fetchCodeContent(node.function_path, currentWorkflow.id); - console.log('function_path result:', content ? 'loaded' : 'failed'); - if (content) { - lambdaCode = content; - lambdaCodeLoaded = true; + // Fetch output generator code + if (nodeType === 'output') { + const outputContent = await fetchNodeCode(workflowId, nodeId, 'output_generator'); + if (!node || node.id !== nodeId) return; + if (outputContent) { + editOutputGeneratorCode = outputContent; + outputGeneratorCodeLoaded = true; + console.log('output_generator loaded from task_executor.py'); + } + } + + // Fetch data transform code + if (nodeType === 'data') { + const transformContent = await fetchNodeCode(workflowId, nodeId, 'data_transform'); + if (!node || node.id !== nodeId) return; + if (transformContent) { + editTransformCode = transformContent; + dataTransformCodeLoaded = true; + console.log('data_transform loaded from task_executor.py'); } } } catch (e) { @@ -629,12 +714,23 @@ codeLoadError = e instanceof Error ? e.message : 'Unknown error loading code'; } finally { isLoadingCode = false; - console.log('loadExistingCode: Complete', { preProcessCodeLoaded, postProcessCodeLoaded, lambdaCodeLoaded }); + console.log('loadExistingCode: Complete', { preProcessCodeLoaded, postProcessCodeLoaded, lambdaCodeLoaded, outputGeneratorCodeLoaded, dataTransformCodeLoaded }); } } // Initialize edit state when node changes $effect(() => { + if (!node) { + lastInitializedNodeId = ''; + return; + } + + // Skip re-initialization if we're just saving the same node (not switching nodes) + if (node.id === lastInitializedNodeId) { + return; + } + lastInitializedNodeId = node.id; + if (node) { editNodeId = node.id ?? ''; editSummary = node.summary ?? ''; @@ -733,6 +829,8 @@ preProcessCodeLoaded = false; postProcessCodeLoaded = false; lambdaCodeLoaded = false; + outputGeneratorCodeLoaded = false; + dataTransformCodeLoaded = false; // Clear per-source preview data when switching nodes sourcePreviewData = new Map(); @@ -786,20 +884,25 @@ class ${nodeClassName}PostProcessor(NodePostProcessor): `; const generateLambdaStub = () => `"""Lambda function for ${node.summary || node.id}.""" -from typing import Any +from sygra.core.graph.functions.lambda_function import LambdaFunction from sygra.core.graph.sygra_state import SygraState -def ${nodeClassName}_function(state: SygraState) -> Any: - """Execute custom logic on workflow state. +class ${nodeClassName}Lambda(LambdaFunction): + """Execute custom logic on workflow state.""" - Args: - state: Current workflow state containing all variables + @staticmethod + def apply(lambda_node_dict: dict, state: SygraState) -> SygraState: + """Implement this method to apply lambda function. - Returns: - Any: Result to be stored in state - """ - return state + Args: + lambda_node_dict: configuration dictionary + state: current state of the graph + + Returns: + SygraState: the updated state object + """ + return state `; const generateBranchStub = () => `"""Branch condition for ${node.summary || node.id}.""" @@ -825,76 +928,117 @@ class ${nodeClassName}Condition(EdgeCondition): return "default" `; - // Try to load existing code from files first, use stubs as fallback - if (node.pre_process || node.post_process || node.function_path) { - loadExistingCode().then(() => { - // After loading, set stubs only for code that wasn't loaded - if (!preProcessCodeLoaded) { - preProcessCode = generatePreProcessStub(); - } - if (!postProcessCodeLoaded) { - postProcessCode = generatePostProcessStub(); - } - if (!lambdaCodeLoaded) { - lambdaCode = generateLambdaStub(); - } - }); - } else { - // No code paths configured, use stubs immediately - preProcessCode = generatePreProcessStub(); - postProcessCode = generatePostProcessStub(); - lambdaCode = generateLambdaStub(); - } + // Generate stub functions for output generator and data transform + const generateOutputGeneratorStub = () => { + const outputClassName = (node.id || 'Output').replace(/-/g, '_').replace(/\s+/g, '').replace(/[^a-zA-Z0-9_]/g, ''); + return `"""Output generator for ${node.summary || node.id}.""" +from typing import Any - // Always set branch stub (loaded separately if needed) - branchConditionCode = generateBranchStub(); +from sygra.core.graph.sygra_state import SygraState +from sygra.processors.output_record_generator import BaseOutputGenerator - // Initialize data node edit state - if (node.node_type === 'data') { - // Always set default transformation stub code + +class ${outputClassName}Generator(BaseOutputGenerator): + """Generate output records from workflow state. + + This class transforms the workflow state into the final output format. + Override _build_record for custom logic, or add transform methods + that can be referenced in the output_map configuration. + """ + + def _build_record(self, state: SygraState) -> dict[str, Any]: + """Build the output record from state. + + Args: + state: The workflow state containing all variables + + Returns: + dict: The final output record + """ + # Default: use parent's output_map-based logic + # Override this method for fully custom record building + return super()._build_record(state) + + # Example transform method (referenced in output_map via "transform" key) + # def format_response(self, data: Any, state: SygraState) -> Any: + # """Transform data before including in output.""" + # return str(data) +`; + }; + + const generateDataTransformStub = () => { const dataClassName = (node.id || 'Data').replace(/-/g, '_').replace(/\s+/g, '').replace(/[^a-zA-Z0-9_]/g, ''); - editTransformCode = `"""Data transformation for ${node.summary || node.id}.""" -from typing import Any, Dict + return `"""Data transformation for ${node.summary || node.id}.""" +from typing import Any +from sygra.processors.data_transform import DataTransform -class ${dataClassName}Transform: + +class ${dataClassName}Transform(DataTransform): """Transform data records during processing. - This class is called for each record in the data source. - Implement the transform method to modify records. + This class processes a list of records from the data source. + Implement the name property and transform method. """ - def __init__(self, **params): - """Initialize with optional parameters from config.""" - self.params = params + @property + def name(self) -> str: + """Get the unique identifier for this transformation.""" + return "${dataClassName}Transform" - def transform(self, record: Dict[str, Any]) -> Dict[str, Any]: - """Transform a single data record. + def transform(self, data: list[dict[str, Any]], params: dict[str, Any]) -> list[dict[str, Any]]: + """Apply transformation to a list of records. Args: - record: Input data record from source + data: List of dictionary records to transform + params: Parameters controlling the transformation Returns: - Dict[str, Any]: Transformed record + list[dict[str, Any]]: Transformed list of records """ # Example transformations: # - # Add new fields: - # record["new_field"] = compute_value(record["existing_field"]) - # - # Rename fields: - # record["new_name"] = record.pop("old_name", None) + # Add new fields to each record: + # for record in data: + # record["new_field"] = compute_value(record["existing_field"]) # - # Filter fields: - # return {k: v for k, v in record.items() if k in ["field1", "field2"]} + # Filter records: + # data = [r for r in data if r.get("field") == "value"] # - # Type conversions: - # record["count"] = int(record.get("count", 0)) + # Skip records by range: + # skip_count = params.get("skip", 0) + # data = data[skip_count:] - return record + return data `; + }; + + // Load code from task_executor.py (single source of truth) + // Always fetch from API - no metadata copies + loadExistingCode().then(() => { + // After loading, set stubs only for code that wasn't loaded + if (!preProcessCodeLoaded) { + preProcessCode = generatePreProcessStub(); + } + if (!postProcessCodeLoaded) { + postProcessCode = generatePostProcessStub(); + } + if (!lambdaCodeLoaded && node.node_type === 'lambda') { + lambdaCode = generateLambdaStub(); + } + if (node.node_type === 'branch' && !branchConditionCode) { + branchConditionCode = generateBranchStub(); + } + if (!outputGeneratorCodeLoaded && node.node_type === 'output') { + editOutputGeneratorCode = generateOutputGeneratorStub(); + } + if (!dataTransformCodeLoaded && node.node_type === 'data') { + editTransformCode = generateDataTransformStub(); + } + }); - // Also load existing config if present + // Initialize data node edit state (config only, transform code loaded above) + if (node.node_type === 'data') { if (node.data_config) { // Initialize multi-source array const sources = Array.isArray(node.data_config.source) @@ -903,8 +1047,11 @@ class ${dataClassName}Transform: ? [node.data_config.source] : []; - // Deep clone sources for editing - editDataSources = sources.map(s => ({ ...s })); + // Deep clone sources for editing, excluding transformations (managed separately) + editDataSources = sources.map(s => { + const { transformations, ...sourceWithoutTransforms } = s; + return { ...sourceWithoutTransforms }; + }); // Initialize id_column editIdColumn = node.data_config.id_column; @@ -972,9 +1119,9 @@ class ${dataClassName}Transform: } } - // Initialize output node edit state + // Initialize output node edit state (config only, code loaded via loadExistingCode) if (node.node_type === 'output') { - // Reset state - don't add default generator code + // Reset state - code will be loaded by loadExistingCode() editOutputGeneratorCode = ''; editOutputGenerator = ''; editOutputMappings = []; @@ -985,7 +1132,7 @@ class ${dataClassName}Transform: transformCodeMap = {}; transformCodeExpanded = {}; - // Load existing config if present + // Load existing config if present (not code - that comes from task_executor.py) if (node.output_config) { editOutputGenerator = node.output_config.generator ?? ''; const outputMap = node.output_config.output_map ?? {}; @@ -995,16 +1142,6 @@ class ${dataClassName}Transform: value: val.value !== undefined ? JSON.stringify(val.value) : '', transform: val.transform ?? '' })); - - // Fetch generator class code if available - this will update editOutputGeneratorCode - if (node.output_config.generator) { - fetchGeneratorCode(node.output_config.generator).then(() => { - // Update edit code with fetched code if successful - if (fetchedGeneratorCode) { - editOutputGeneratorCode = fetchedGeneratorCode; - } - }); - } } } @@ -1121,6 +1258,34 @@ class ${dataClassName}Transform: editNodeConfigMap = node.node_config_map ? JSON.parse(JSON.stringify(node.node_config_map)) : {}; expandedOverrideNodes = new Set(); overrideSearchQuery = ''; + // Reset output node state (code will be loaded by loadExistingCode below) + if (node.node_type === 'output') { + editOutputGenerator = node.output_config?.generator ?? ''; + editOutputGeneratorCode = ''; // Will be loaded from task_executor.py + const outputMap = node.output_config?.output_map ?? {}; + editOutputMappings = Object.entries(outputMap).map(([key, val]: [string, any]) => ({ + key, + from: val.from ?? '', + value: val.value !== undefined ? JSON.stringify(val.value) : '', + transform: val.transform ?? '' + })); + } + // Reset data node state (code will be loaded by loadExistingCode below) + if (node.node_type === 'data') { + const source = node.data_config?.source; + const firstSource = Array.isArray(source) ? source[0] : source; + editDataSourceType = (firstSource?.type as 'hf' | 'disk' | 'servicenow') || 'hf'; + editDataRepoId = firstSource?.repo_id ?? ''; + editDataConfigName = firstSource?.config_name ?? ''; + editDataSplit = Array.isArray(firstSource?.split) ? firstSource.split.join(', ') : (firstSource?.split ?? 'train'); + editDataFilePath = firstSource?.file_path ?? ''; + editDataTable = firstSource?.table ?? ''; + editDataFilters = firstSource?.query ?? ''; + editTransformCode = ''; // Will be loaded from task_executor.py + } + // Reset all code fields by reloading from task_executor.py + // This is the single source of truth - stubs will be generated if no code exists + loadExistingCode(); } hasChanges = false; isEditing = false; @@ -1280,15 +1445,23 @@ class ${dataClassName}Transform: // Serialize transforms into the sources (strip `id` field as it's for UI only) const sourcesWithTransforms = editDataSources.map((src, idx) => { const sourceCopy = { ...src }; - // Only attach transforms to primary or first source - if (idx === 0 && editSourceTransforms.length > 0) { - sourceCopy.transformations = editSourceTransforms - .filter(t => t.enabled !== false) // Only include enabled transforms + // Handle transforms for primary/first source + if (idx === 0) { + // Get enabled transforms + const enabledTransforms = editSourceTransforms + .filter(t => t.enabled !== false) .map(t => ({ transform: t.transform, params: t.params // Note: Don't include `id` or `enabled` - those are UI-only fields })); + + if (enabledTransforms.length > 0) { + sourceCopy.transformations = enabledTransforms; + } else { + // Explicitly remove transformations when all are deleted/disabled + delete sourceCopy.transformations; + } } return sourceCopy; }); @@ -1356,8 +1529,8 @@ class ${dataClassName}Transform: if (editOutputGenerator) { outputConfig.generator = editOutputGenerator; } - // Only include generator code if generator is set and code exists - if (editOutputGenerator && editOutputGeneratorCode && editOutputGeneratorCode.trim()) { + // Include generator code if it exists (code can be saved even without a generator path) + if (editOutputGeneratorCode && editOutputGeneratorCode.trim()) { outputConfig._generator_code = editOutputGeneratorCode; } if (editOutputMappings.length > 0) { @@ -1410,25 +1583,56 @@ class ${dataClassName}Transform: } } - if (Object.keys(updates).length > 0) { - const success = await workflowStore.updateNode(originalNodeId, updates); - if (success) { + // Save inline code fields for processor/function nodes + // Code is written to task_executor.py (single source of truth) + // Backend handles stub detection - stubs won't be saved + // Send empty string to signal deletion + if (hasChanges) { + // Pre-processor code (for LLM/Agent nodes) + // Send code content or empty string (signals deletion) + updates._pre_process_code = preProcessCode?.trim() || ''; + + // Post-processor code (for LLM/Agent nodes) + updates._post_process_code = postProcessCode?.trim() || ''; + + // Lambda function code + if (node.node_type === 'lambda') { + updates._lambda_code = lambdaCode?.trim() || ''; + } + + // Branch condition code + if (node.node_type === 'branch') { + updates._branch_condition_code = branchConditionCode?.trim() || ''; + } + + // Output generator code + if (node.node_type === 'output') { + updates._output_generator_code = editOutputGeneratorCode?.trim() || ''; + } + + // Data transform code + if (node.node_type === 'data') { + updates._data_transform_code = editTransformCode?.trim() || ''; + } + } + + try { + if (Object.keys(updates).length > 0) { + const success = await workflowStore.updateNode(originalNodeId, updates); + if (success) { + hasChanges = false; + isEditing = false; + dispatch('save', { nodeId: originalNodeId, newId: updates.newId, updates }); + } + } else { hasChanges = false; isEditing = false; - // Dispatch save event for parent to sync SvelteFlow - // Include newId if the node ID was changed so parent can update selection - console.log('[NodeDetailsPanel] Dispatching save event for node:', originalNodeId); - dispatch('save', { nodeId: originalNodeId, newId: updates.newId, updates }); - } else { - console.error('[NodeDetailsPanel] updateNode returned false'); } - } else { - console.log('[NodeDetailsPanel] No updates to save'); - hasChanges = false; - isEditing = false; + } catch (error) { + console.error('[NodeDetailsPanel] Error saving:', error); + } finally { + isSaving = false; } - - isSaving = false; } // Output mapping helpers @@ -1925,7 +2129,10 @@ class ${dataClassName}Transform: showDelete={!!node && node.node_type !== 'start' && node.node_type !== 'end'} {onDuplicate} onDelete={requestDeleteNode} - onClose={() => dispatch('close')} + onClose={() => { + cancelEditing(); + dispatch('close'); + }} /> {#if node} @@ -3289,12 +3496,15 @@ class ${dataClassName}Transform:
markChanged()} + on:save={saveChanges} />
@@ -3348,12 +3558,15 @@ class ${dataClassName}Transform:
markChanged()} + on:save={saveChanges} />
{:else} @@ -3449,14 +3662,89 @@ class ${dataClassName}Transform:
{/if} - + + {#if node.node_type === 'lambda'} +
+
+
+ Lambda Function +
+ Primary function code +
+ {#if isEditing} +
+ Function Path + +
+ {:else if node.function_path} +
+ {node.function_path} +
+ {:else} +
+ No function path defined +
+ {/if} +
+ {isEditing ? 'Edit the lambda function code. This will be saved to task_executor.py.' : 'Lambda function code.'} +
+
+ markChanged()} + on:save={saveChanges} + /> +
+
+ {/if} + + + {#if node.node_type === 'branch'} +
+
+
+ Branch Condition +
+ Primary condition code +
+
+ {isEditing ? 'Edit the condition logic that determines which path to take.' : 'Condition logic that determines which path to take. This code will be saved to task_executor.py.'} +
+
+ markChanged()} + on:save={saveChanges} + /> +
+
+ {/if} + + {#if canHaveProcessors && (node.pre_process || isEditing)}
Pre-processor
- Python module path + Optional hook
{#if isEditing}
{isEditing ? 'Code Editor:' : 'Code Preview:'}
markChanged()} + on:save={saveChanges} />
{/if} - + {#if canHaveProcessors && (node.post_process || isEditing)}
Post-processor
- Python module path + Optional hook
{#if isEditing} markChanged()} - /> -
-
- {/if} - - - {#if node.node_type === 'lambda'} -
-
-
- Lambda Function -
- Python function -
- {#if isEditing} -
- Function Path - -
- {:else if node.function_path} -
- {node.function_path} -
- {:else} -
- No function path defined -
- {/if} -
- {isEditing ? 'Edit the lambda function code. This will be saved to task_executor.py.' : 'Lambda function code.'} -
-
- markChanged()} - /> -
-
- {/if} - - - {#if node.node_type === 'branch'} -
-
-
- Branch Condition -
- Python function -
-
- {isEditing ? 'Edit the condition logic that determines which path to take.' : 'Condition logic that determines which path to take. This code will be saved to task_executor.py.'} -
-
- markChanged()} + on:save={saveChanges} />
diff --git a/studio/frontend/src/lib/stores/workflow.svelte.ts b/studio/frontend/src/lib/stores/workflow.svelte.ts index 1db6cf94..7d973056 100644 --- a/studio/frontend/src/lib/stores/workflow.svelte.ts +++ b/studio/frontend/src/lib/stores/workflow.svelte.ts @@ -92,6 +92,11 @@ export interface WorkflowNode { pre_process?: string; post_process?: string; function_path?: string; + // Inline code fields (stored when edited in UI) + _pre_process_code?: string; + _post_process_code?: string; + _lambda_code?: string; + _branch_condition_code?: string; subgraph_path?: string; inner_graph?: InnerGraph; // Expanded subgraph contents node_config_map?: Record; // Override configs for inner nodes (subgraph only) diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index 00fdf73e..c213b7bb 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -768,12 +768,15 @@ this={NodeDetailsPanel} node={currentWorkflow.nodes.find(n => n.id === selectedNodeId)} nodeState={currentExecution?.node_states[selectedNodeId]} + startInEditMode={true} showNavigation={true} hasPrevious={hasPreviousNode()} hasNext={hasNextNode()} onPrevious={handleNavigateToPreviousNode} onNext={handleNavigateToNextNode} on:close={() => uiStore.selectNode(null)} + on:save={handleBuilderNodeSave} + on:delete={handleBuilderNodeDelete} on:navigate={handleNavigateToNode} /> {/if} @@ -786,7 +789,11 @@ edge={edge} sourceNode={currentWorkflow.nodes.find(n => n.id === edge.source)} targetNode={currentWorkflow.nodes.find(n => n.id === edge.target)} + editable={true} + startInEditMode={true} on:close={() => selectedEdge = null} + on:update={handleBuilderEdgeUpdate} + on:delete={handleBuilderEdgeDelete} on:navigate={handleNavigateToNode} /> {/if} From 48ade8fed959f93905372f9b0e4af8a612a0c6cd Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Wed, 14 Jan 2026 12:42:32 +0530 Subject: [PATCH 19/20] feat(studio): add auto window resize and fit for graph view --- .../src/lib/components/graph/SygraFlow.svelte | 5 ++++ studio/frontend/src/routes/+page.svelte | 24 ++++++++++++++++++- 2 files changed, 28 insertions(+), 1 deletion(-) diff --git a/studio/frontend/src/lib/components/graph/SygraFlow.svelte b/studio/frontend/src/lib/components/graph/SygraFlow.svelte index 7820a3e6..0c9fdfbc 100644 --- a/studio/frontend/src/lib/components/graph/SygraFlow.svelte +++ b/studio/frontend/src/lib/components/graph/SygraFlow.svelte @@ -675,6 +675,11 @@ } } + // Export function to trigger fitView (re-fit graph to viewport) + export function fitToView() { + fitViewTrigger.update(n => n + 1); + } + // Sync edges - only on workflow change, not execution state $effect(() => { if (workflow.id === lastWorkflowId || !lastWorkflowId) { diff --git a/studio/frontend/src/routes/+page.svelte b/studio/frontend/src/routes/+page.svelte index c213b7bb..e0a495fd 100644 --- a/studio/frontend/src/routes/+page.svelte +++ b/studio/frontend/src/routes/+page.svelte @@ -172,7 +172,7 @@ return selectedNodeIndex() >= 0 && selectedNodeIndex() < ids.length - 1; }); let codePanelCollapsed = $state(true); // Start collapsed by default - let sygraFlowRef = $state<{ applyAutoLayout: () => Promise } | undefined>(undefined); + let sygraFlowRef = $state<{ applyAutoLayout: () => Promise; fitToView: () => void } | undefined>(undefined); let selectedEdge = $state<{ id: string; source: string; @@ -504,6 +504,27 @@ pushState(url.toString(), {}); }); } + + // Handle code panel resize/expand - trigger fitToView on the graph + function handleCodePanelResize() { + // Small delay to allow DOM to update before fitting + setTimeout(() => { + sygraFlowRef?.fitToView(); + }, 100); + } + + // Trigger fitToView when code panel collapse state changes + $effect(() => { + // Track codePanelCollapsed changes + const collapsed = codePanelCollapsed; + // Only trigger if we have a flow ref and are in workflow view + if (sygraFlowRef && currentView === 'workflow') { + // Delay to allow the panel animation to complete + setTimeout(() => { + sygraFlowRef?.fitToView(); + }, 250); + } + }); @@ -808,6 +829,7 @@ bind:isCollapsed={codePanelCollapsed} on:close={() => codePanelCollapsed = true} on:yamlSaved={handleYamlSaved} + on:resize={handleCodePanelResize} /> {/if}
From 0bbb06738bb8618a969550397fa8e970b223a008 Mon Sep 17 00:00:00 2001 From: Surajit Dasgupta Date: Fri, 16 Jan 2026 15:11:09 +0530 Subject: [PATCH 20/20] feat(studio): support media and list data, structured output fix, data node modal redesign --- studio/api.py | 122 ++++- .../components/builder/WorkflowBuilder.svelte | 46 +- .../lib/components/common/AudioPlayer.svelte | 309 +++++++++++ .../components/common/DataTableViewer.svelte | 36 +- .../components/common/MediaRenderer.svelte | 149 ++++++ .../components/data/DataPreviewPanel.svelte | 44 +- .../components/data/MultiSourceManager.svelte | 121 +++-- .../lib/components/data/SourceEditor.svelte | 484 +++++++++--------- .../lib/components/data/SourcePreview.svelte | 43 +- .../components/graph/NodeDetailsPanel.svelte | 283 +++++----- .../nodes/icons/StackedBotsIcon.svelte | 5 +- studio/frontend/src/lib/utils/mediaUtils.ts | 393 ++++++++++++++ studio/frontend/src/routes/+page.svelte | 27 +- studio/graph_builder.py | 13 + studio/models.py | 3 + sygra/config/models.yaml | 75 ++- .../agent_simulation/graph_config.yaml | 3 - 17 files changed, 1708 insertions(+), 448 deletions(-) create mode 100644 studio/frontend/src/lib/components/common/AudioPlayer.svelte create mode 100644 studio/frontend/src/lib/components/common/MediaRenderer.svelte create mode 100644 studio/frontend/src/lib/utils/mediaUtils.ts diff --git a/studio/api.py b/studio/api.py index b3d1f4cc..ba124851 100644 --- a/studio/api.py +++ b/studio/api.py @@ -23,7 +23,7 @@ from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Request from fastapi.middleware.cors import CORSMiddleware -from fastapi.responses import JSONResponse +from fastapi.responses import JSONResponse, FileResponse from pydantic import BaseModel import yaml @@ -1176,7 +1176,7 @@ async def preview_source_data(request: Request, limit: int = 5): elif source_type in ("hf", "huggingface"): # HuggingFace source - use HF Hub API directly repo_id = source.get("repo_id") - config_name = source.get("config_name") or "default" + config_name = source.get("config_name") # Don't default - auto-detect if needed split = source.get("split", "train") if not repo_id: @@ -1187,10 +1187,23 @@ async def preview_source_data(request: Request, limit: int = 5): } try: - from huggingface_hub import HfApi import requests as hf_requests - api = HfApi() + # If no config specified, try to auto-detect from available configs + if not config_name: + # Get available configs from the dataset info API + info_url = f"https://datasets-server.huggingface.co/info?dataset={repo_id}" + info_response = hf_requests.get(info_url, timeout=10) + if info_response.status_code == 200: + info_data = info_response.json() + available_configs = list(info_data.get("dataset_info", {}).keys()) + if available_configs: + # Use "default" if available, otherwise use the first config + config_name = "default" if "default" in available_configs else available_configs[0] + else: + config_name = "default" + else: + config_name = "default" # Try the dataset viewer API first (much faster) viewer_url = f"https://datasets-server.huggingface.co/rows?dataset={repo_id}&config={config_name}&split={split}&offset=0&length={limit}" @@ -1203,7 +1216,7 @@ async def preview_source_data(request: Request, limit: int = 5): else: # Fall back to datasets library from datasets import load_dataset - ds = load_dataset(repo_id, config_name, split=split, streaming=True, trust_remote_code=True) + ds = load_dataset(repo_id, config_name, split=split, streaming=True) records = list(ds.take(limit)) total_count = "streaming" except Exception as hf_error: @@ -1752,6 +1765,73 @@ async def get_file_content(file_path: str, workflow_id: Optional[str] = None, ex except Exception as e: return {"error": str(e), "content": None} + @app.get("/api/media/file") + async def serve_media_file(path: str, workflow_id: Optional[str] = None): + """ + Serve a media file (audio, image, etc.) from the filesystem. + + This endpoint allows the frontend to access media files generated by workflows, + such as audio outputs stored in workflow output directories. + + Args: + path: Absolute path to the media file + workflow_id: Optional workflow ID for validation + + Returns: + FileResponse with the media file content + """ + import mimetypes + + try: + file_path = Path(path) + + # Security: Only allow serving files from allowed directories + # 1. Files in tasks/ directory (workflow outputs) + # 2. Files in output/ directory + allowed_prefixes = [ + str(Path.cwd() / "tasks"), + str(Path.cwd() / "output"), + "/tmp", + ] + + # Also allow paths that are under a workflow's directory + if workflow_id and workflow_id in _workflows: + workflow = _workflows[workflow_id] + workflow_dir = str(Path(workflow.source_path).parent) + allowed_prefixes.append(workflow_dir) + + # Check if path is allowed + abs_path = str(file_path.resolve()) + is_allowed = any(abs_path.startswith(prefix) for prefix in allowed_prefixes) + + if not is_allowed: + raise HTTPException( + status_code=403, + detail=f"Access denied: Path not in allowed directories" + ) + + if not file_path.exists(): + raise HTTPException(status_code=404, detail=f"File not found: {path}") + + if not file_path.is_file(): + raise HTTPException(status_code=400, detail=f"Not a file: {path}") + + # Determine MIME type + mime_type, _ = mimetypes.guess_type(str(file_path)) + if mime_type is None: + mime_type = "application/octet-stream" + + return FileResponse( + path=str(file_path), + media_type=mime_type, + filename=file_path.name + ) + + except HTTPException: + raise + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + @app.get("/api/workflows/{workflow_id}/yaml") async def get_workflow_yaml(workflow_id: str): """ @@ -2113,6 +2193,9 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) if node.model: node.model.name = node_data["model"].get("name", node.model.name) node.model.parameters = node_data["model"].get("parameters", node.model.parameters) + # Handle structured_output - can be set, updated, or removed (None) + if "structured_output" in node_data["model"]: + node.model.structured_output = node_data["model"]["structured_output"] else: from studio.models import ModelConfig node.model = ModelConfig(**node_data["model"]) @@ -2324,6 +2407,25 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) # Remove empty parameters if not yaml_node['model']['parameters']: del yaml_node['model']['parameters'] + # Include structured_output if present and enabled + so = node_data["model"].get("structured_output") + if so and so.get("enabled", True): + # Convert to YAML format (without 'enabled' field) + yaml_so = {} + if so.get("schema"): + yaml_so["schema"] = so["schema"] + # Only include non-default options + if so.get("fallback_strategy") and so["fallback_strategy"] != "instruction": + yaml_so["fallback_strategy"] = so["fallback_strategy"] + if so.get("retry_on_parse_error") is False: + yaml_so["retry_on_parse_error"] = False + if so.get("max_parse_retries") and so["max_parse_retries"] != 2: + yaml_so["max_parse_retries"] = so["max_parse_retries"] + if yaml_so: + yaml_node['model']['structured_output'] = yaml_so + elif 'structured_output' in yaml_node.get('model', {}): + # Remove structured_output if it was disabled + del yaml_node['model']['structured_output'] if "pre_process" in node_data: if node_data["pre_process"]: yaml_node['pre_process'] = node_data["pre_process"] @@ -2360,6 +2462,14 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) raise HTTPException(status_code=500, detail=f"Failed to persist node update to file: {str(e)}") # Return updated node data for frontend sync + model_data = None + if node.model: + model_data = { + "name": node.model.name, + "parameters": node.model.parameters + } + if node.model.structured_output: + model_data["structured_output"] = node.model.structured_output return { "status": "updated", "node_id": node_id, @@ -2367,7 +2477,7 @@ async def update_node(workflow_id: str, node_id: str, node_data: Dict[str, Any]) "id": node.id, "summary": node.summary, "description": node.description, - "model": {"name": node.model.name, "parameters": node.model.parameters} if node.model else None, + "model": model_data, "prompt": node.prompt, "pre_process": node.pre_process, "post_process": node.post_process, diff --git a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte index 0d3ff99b..4e9c46be 100644 --- a/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte +++ b/studio/frontend/src/lib/components/builder/WorkflowBuilder.svelte @@ -1,5 +1,5 @@ + + +