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COSONNET.md

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diags/L1_2_OTP.md

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# AST Layer Architecture Overview
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**Version**: 1.0
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**Date**: June 2025
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**Layer**: AST Layer (Layer 2)
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**Purpose**: Comprehensive architectural analysis and implementation guidance
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## Executive Summary
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The AST Layer represents the core intelligence engine of ElixirScope, transforming Elixir source code into structured, queryable data representations. This document provides a high-level architectural overview with detailed mermaid diagrams to guide implementation.
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## System Architecture Overview
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```mermaid
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graph TB
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subgraph "External Interfaces"
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FS[File System]
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IDE[IDE Integration]
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API[REST API]
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CLI[CLI Interface]
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end
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subgraph "AST Layer (Layer 2)"
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subgraph "Parsing Subsystem"
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PARSER[AST Parser]
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INSTRU[Instrumentation Mapper]
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BATCH[Batch Processor]
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end
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subgraph "Repository Subsystem"
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CORE_REPO[Core Repository]
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ENH_REPO[Enhanced Repository]
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MEM_MGR[Memory Manager]
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CACHE[Cache Manager]
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end
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subgraph "Analysis Subsystem"
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PATTERN[Pattern Matcher]
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PERF_OPT[Performance Optimizer]
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COMPLEXITY[Complexity Analyzer]
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METRICS[Metrics Collector]
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end
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subgraph "Query Subsystem"
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QUERY_EXE[Query Executor]
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QUERY_CACHE[Query Cache]
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WORKER_POOL[Worker Pool]
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end
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subgraph "Synchronization Subsystem"
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FILE_WATCH[File Watcher]
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SYNC[Synchronizer]
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INCR_UPD[Incremental Updater]
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end
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end
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subgraph "Foundation Layer (Layer 1)"
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STORAGE[Storage Services]
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MONITOR[Monitoring]
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CONFIG[Configuration]
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TELEMETRY[Telemetry]
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end
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subgraph "Data Layer"
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ETS[(ETS Tables)]
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DETS[(DETS Storage)]
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MEMORY[(Memory Cache)]
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end
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%% External to AST Layer
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FS --> FILE_WATCH
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IDE --> API
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CLI --> API
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%% AST Layer Internal Flow
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FILE_WATCH --> SYNC
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SYNC --> INCR_UPD
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INCR_UPD --> PARSER
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PARSER --> INSTRU
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INSTRU --> CORE_REPO
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BATCH --> PARSER
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CORE_REPO --> ENH_REPO
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CORE_REPO --> MEM_MGR
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MEM_MGR --> CACHE
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ENH_REPO --> PATTERN
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ENH_REPO --> PERF_OPT
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PATTERN --> COMPLEXITY
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PERF_OPT --> METRICS
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API --> QUERY_EXE
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QUERY_EXE --> QUERY_CACHE
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QUERY_EXE --> WORKER_POOL
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WORKER_POOL --> ENH_REPO
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%% Foundation Layer Integration
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CORE_REPO --> STORAGE
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MEM_MGR --> MONITOR
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PATTERN --> TELEMETRY
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QUERY_EXE --> CONFIG
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%% Data Layer Integration
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CORE_REPO --> ETS
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ENH_REPO --> ETS
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CACHE --> MEMORY
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QUERY_CACHE --> DETS
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style PARSER fill:#e1f5fe
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style CORE_REPO fill:#f3e5f5
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style PATTERN fill:#e8f5e8
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style QUERY_EXE fill:#fff3e0
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```
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## Core Design Principles
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### 1. Performance-First Architecture
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- **O(1) Lookups**: Module and function data retrieval
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- **O(log n) Complex Queries**: Pattern matching and correlation
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- **Memory Efficiency**: Hierarchical caching with LRU eviction
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- **Concurrent Processing**: Non-blocking read operations
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### 2. Runtime Correlation
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- **Bidirectional Mapping**: Static analysis ↔ Dynamic events
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- **Instrumentation Points**: Strategic code insertion markers
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- **Temporal Correlation**: Time-based event association
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- **Performance Tracking**: Static predictions vs runtime metrics
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### 3. Incremental Processing
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- **File-Change Driven**: Only process modified files
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- **Dependency Tracking**: Cascade updates to dependent modules
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- **Atomic Updates**: Consistent state during batch operations
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- **Rollback Capability**: Error recovery with previous state
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## Data Flow Architecture
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```mermaid
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flowchart LR
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subgraph "Input Sources"
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SOURCE_FILES[Elixir Source Files]
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CHANGE_EVENTS[File Change Events]
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RUNTIME_DATA[Runtime Correlation Data]
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end
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subgraph "Processing Pipeline"
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PARSING[Parsing Stage]
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ENHANCEMENT[Enhancement Stage]
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ANALYSIS[Analysis Stage]
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STORAGE[Storage Stage]
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end
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subgraph "Data Repositories"
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AST_STORE[AST Repository]
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PATTERN_STORE[Pattern Repository]
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CORRELATION_STORE[Correlation Repository]
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CACHE_STORE[Cache Repository]
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end
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subgraph "Query Interface"
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QUERY_API[Query API]
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RESULT_CACHE[Result Cache]
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WORKER_POOL[Worker Pool]
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end
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subgraph "Output Consumers"
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IDE_CLIENT[IDE Client]
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API_CLIENT[API Client]
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TELEMETRY_SYS[Telemetry System]
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end
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SOURCE_FILES --> PARSING
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CHANGE_EVENTS --> PARSING
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RUNTIME_DATA --> CORRELATION_STORE
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PARSING --> ENHANCEMENT
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ENHANCEMENT --> ANALYSIS
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ANALYSIS --> STORAGE
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STORAGE --> AST_STORE
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STORAGE --> PATTERN_STORE
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ANALYSIS --> CORRELATION_STORE
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STORAGE --> CACHE_STORE
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QUERY_API --> AST_STORE
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QUERY_API --> PATTERN_STORE
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QUERY_API --> CORRELATION_STORE
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QUERY_API --> RESULT_CACHE
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QUERY_API --> WORKER_POOL
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WORKER_POOL --> RESULT_CACHE
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RESULT_CACHE --> IDE_CLIENT
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QUERY_API --> API_CLIENT
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CORRELATION_STORE --> TELEMETRY_SYS
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style PARSING fill:#e3f2fd
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style AST_STORE fill:#f1f8e9
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style QUERY_API fill:#fff8e1
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```
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## Component Responsibilities
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### Parsing Subsystem
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- **Primary Responsibility**: Transform Elixir source code into enhanced AST structures
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- **Key Functions**:
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- Lexical and syntax analysis
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- AST node creation and validation
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- Instrumentation point detection
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- Error recovery and partial parsing
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### Repository Subsystem
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- **Primary Responsibility**: High-performance storage and retrieval of AST data
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- **Key Functions**:
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- ETS-based storage with concurrent access
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- Memory management and pressure handling
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- Cache optimization and eviction policies
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- Data consistency and atomic operations
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### Analysis Subsystem
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- **Primary Responsibility**: Pattern recognition and code quality assessment
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- **Key Functions**:
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- Pattern matching against AST structures
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- Complexity analysis and scoring
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- Performance optimization recommendations
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- Anti-pattern detection
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### Query Subsystem
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- **Primary Responsibility**: Flexible querying interface for AST data
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- **Key Functions**:
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- Query parsing and optimization
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- Result caching and pagination
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- Concurrent query execution
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- Response formatting and serialization
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### Synchronization Subsystem
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- **Primary Responsibility**: Real-time file monitoring and incremental updates
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- **Key Functions**:
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- File system event monitoring
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- Change detection and impact analysis
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- Incremental parsing and updates
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- Dependency cascade management
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## Performance Specifications
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### Response Time Requirements
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- **Module Lookup**: < 1ms (99th percentile)
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- **Function Query**: < 5ms (99th percentile)
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- **Pattern Matching**: < 100ms (95th percentile)
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- **Complex Queries**: < 500ms (95th percentile)
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### Throughput Requirements
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- **File Processing**: 1000+ files/minute
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- **Concurrent Queries**: 100+ queries/second
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- **Memory Usage**: < 500MB for 100k LOC project
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- **Update Latency**: < 2 seconds for file changes
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## Integration Points
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### Foundation Layer Dependencies
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- **Storage Services**: Data persistence and retrieval patterns
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- **Monitoring**: Health checks and performance metrics
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- **Configuration**: Runtime configuration management
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- **Telemetry**: Event emission and correlation
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### External Integrations
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- **File System**: Direct file monitoring and access
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- **IDE Clients**: Language server protocol compliance
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- **API Consumers**: REST API for external tools
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- **Telemetry Systems**: Runtime correlation data ingestion
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## Implementation Phases
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### Phase 1: Core Repository (Weeks 1-3)
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Focus on fundamental data storage and retrieval capabilities.
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### Phase 2: Parsing & Instrumentation (Weeks 4-6)
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Implement AST parsing with instrumentation point detection.
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### Phase 3: Pattern Matching (Weeks 7-9)
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Build sophisticated pattern recognition capabilities.
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### Phase 4: Advanced Features (Weeks 10-12)
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Add performance optimization and complex query support.
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### Phase 5: Incremental Sync (Weeks 13-15)
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Implement real-time file monitoring and updates.
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## Next Steps
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1. **Review Repository Design**: Examine detailed repository architecture in `02_ast_repository_deep_dive.md`
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2. **Study Parsing Pipeline**: Understand parsing implementation in `03_ast_parsing_pipeline.md`
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3. **Explore Pattern Matching**: Learn pattern analysis in `04_ast_pattern_matching.md`
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4. **Understand Synchronization**: Review file monitoring in `05_ast_synchronization.md`
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5. **Examine Performance**: Study optimization strategies in `06_ast_performance_optimization.md`

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