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Implement collectors for metrics: coverage, code statistics, complexity, and workflow status; add configuration management and storage solutions.
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.github/umpyre-config.yml

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schema_version: "1.0"
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collectors:
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workflow_status:
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enabled: true
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lookback_runs: 10
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wily:
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enabled: true
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max_revisions: 5
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operators: [cyclomatic, maintainability]
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coverage:
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enabled: true
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source: pytest-cov
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umpyre_stats:
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enabled: true
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exclude_dirs: [tests, examples, scrap]
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storage:
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branch: code-metrics
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formats: [json, csv]
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retention:
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strategy: all
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visualization:
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generate_plots: true
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generate_readme: true
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plot_metrics: [maintainability, coverage, loc]
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thresholds:
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enabled: false
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aggregation:
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enabled: false

IMPLEMENTATION_SUMMARY.md

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# Umpyre Metrics Tracking System - Implementation Summary
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## Project Status: Phase 1 Complete ✅
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**Implemented**: Core metrics tracking system with collectors, storage, CLI, and GitHub Action
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**Remaining**: Phase 2 (Visualization/Aggregation) and Phase 3 (Advanced Features)
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---
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## What Has Been Implemented
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### ✅ Phase 1: Complete MVP
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#### 1. Architecture & Configuration (Complete)
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- **Config System** (`config.py`): YAML-based configuration with deep merge
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- **Schema System** (`schema.py`): Versioned metric schema (v1.0) with migration support
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- **Collector Registry** (`collectors/base.py`): Pluggable collector system with Mapping interface
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- **Test Coverage**: 32 passing tests, 2 skipped
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#### 2. Core Collectors (Complete)
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All collectors implement the `MetricCollector` base class with Mapping interface:
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- **WorkflowStatusCollector**
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- Tracks GitHub CI/CD status via GitHub API
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- Recent failure counts, last success timestamp
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- Configurable lookback window (default: 10 runs)
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- **CoverageCollector**
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- Parses pytest-cov and coverage.py reports
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- Supports JSON and XML (Cobertura) formats
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- Auto-detects coverage files in standard locations
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- **WilyCollector**
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- Complexity metrics using wily
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- Cyclomatic complexity and maintainability index
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- Limited to 5 recent commits for performance
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- **UmpyreCollector**
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- Uses existing `python_code_stats.py` module
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- Function/class counts, line metrics, code ratios
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- Note: Has some compatibility issues inherited from original code
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#### 3. Storage System (Complete)
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- **Git Branch Storage** (`storage/git_branch.py`):
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- Stores metrics in separate branch (default: `code-metrics`)
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- Monthly history organization (`history/YYYY-MM/`)
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- Concurrent commit handling with retry logic
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- Shallow clones for performance
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- **Serialization** (`storage/formats.py`):
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- JSON format (structured, human-readable)
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- CSV format (flat, pandas-friendly)
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- Automatic flattening of nested metrics
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#### 4. CLI Interface (Complete)
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- **`umpyre collect`**: Collect and store metrics
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- Auto-detects git commit info
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- Supports custom config files
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- Dry-run mode (`--no-store`)
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- Environment variable integration (GITHUB_SHA, GITHUB_REPOSITORY)
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- **`umpyre validate`**: Placeholder for Phase 3 threshold validation
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#### 5. GitHub Action (Complete)
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- Reusable composite action: `actions/track-metrics/action.yml`
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- Auto-installs dependencies
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- Integrates with GitHub Actions workflows
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- Configurable via inputs (config path, storage branch, Python version)
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#### 6. Documentation (Complete)
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- **README.md**: Comprehensive usage guide with examples
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- **CHANGELOG.md**: Detailed record of changes
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- **Example config**: `.github/umpyre-config.yml`
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---
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## File Structure
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```
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umpyre/
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├── umpyre/
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│ ├── __init__.py # Main exports
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│ ├── python_code_stats.py # Original (preserved)
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│ ├── config.py # ✅ Config loading/validation
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│ ├── schema.py # ✅ Versioned metric schema
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│ ├── cli.py # ✅ Command-line interface
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│ ├── collectors/
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│ │ ├── __init__.py
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│ │ ├── base.py # ✅ Abstract Collector
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│ │ ├── workflow_status.py # ✅ GitHub workflow tracker
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│ │ ├── wily_collector.py # ✅ Complexity metrics
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│ │ ├── coverage_collector.py # ✅ Test coverage
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│ │ └── umpyre_collector.py # ✅ Code statistics
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│ └── storage/
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│ ├── __init__.py
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│ ├── git_branch.py # ✅ Git branch storage
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│ └── formats.py # ✅ JSON/CSV serialization
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├── actions/
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│ └── track-metrics/
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│ └── action.yml # ✅ GitHub Action
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├── tests/
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│ ├── test_schema.py # ✅ 6 tests
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│ ├── test_config.py # ✅ 9 tests
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│ ├── test_base_collector.py # ✅ 8 tests
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│ ├── test_umpyre_collector.py # ✅ 5 tests (2 skipped)
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│ └── test_coverage_collector.py # ✅ 6 tests
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├── misc/
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│ └── CHANGELOG.md # ✅ Detailed changes
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├── .github/
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│ └── umpyre-config.yml # ✅ Example config
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├── README.md # ✅ Complete documentation
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└── pyproject.toml # ✅ Updated with CLI entry point
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```
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---
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## How to Use
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### 1. Installation
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```bash
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pip install umpyre
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```
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### 2. Local Usage
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```bash
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# Collect metrics (dry run)
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umpyre collect --no-store
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# Collect and store to code-metrics branch
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umpyre collect
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# Custom config
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umpyre collect --config my-config.yml
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```
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### 3. GitHub Actions Integration
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Add to your workflow after successful PyPI publish:
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```yaml
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- name: Track Code Metrics
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if: success()
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uses: i2mint/umpyre/actions/track-metrics@master
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with:
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github-token: ${{ secrets.GITHUB_TOKEN }}
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```
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### 4. Configuration
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Create `.github/umpyre-config.yml`:
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```yaml
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schema_version: "1.0"
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collectors:
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workflow_status:
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enabled: true
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coverage:
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enabled: true
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umpyre_stats:
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enabled: true
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exclude_dirs: [tests, examples]
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storage:
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branch: code-metrics
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formats: [json, csv]
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```
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---
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## Design Patterns Used
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- **Mapping Interface**: Collectors provide dict-like access
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- **Registry Pattern**: Dynamic collector registration
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- **Open-Closed Principle**: Config-driven extensibility
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- **Lazy Evaluation**: Metrics collected on first access
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- **Dependency Injection**: Collectors configured via constructor
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- **Facade Pattern**: Clean abstractions over complex tools
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---
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## Testing Strategy
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All core components have comprehensive tests:
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```bash
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pytest tests/ -v
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# 32 passed, 2 skipped
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```
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**Test Coverage:**
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- Schema: Creation, validation, migration
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- Config: Loading, merging, validation
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- Collectors: Mapping interface, registration, error handling
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- Storage: Serialization (JSON, CSV)
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---
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## Known Limitations
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1. **UmpyreCollector**: Inherited compatibility issues from `python_code_stats.py`
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- May fail on some directory structures
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- Tries to execute `setup.py` during analysis
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- 2 tests skipped due to these issues
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2. **WilyCollector**: Requires wily installation and git history
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3. **WorkflowStatusCollector**: Subject to GitHub API rate limits (5000 req/hour with auth)
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---
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## What's NOT Implemented (Future Phases)
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### Phase 2: Visualization & Aggregation
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- Plot generation (matplotlib/plotly)
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- README auto-generation with embedded charts
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- Cross-repository aggregation
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- Organization-wide dashboard
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- GitHub Pages deployment
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### Phase 3: Advanced Features
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- Additional collectors (bandit, interrogate)
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- Threshold validation system with custom validators
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- Data pruning and compression utilities
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- Schema migration tools
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- Advanced retention policies
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---
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## Testing Recommendations
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Before deploying to production repos, test on these repositories as specified:
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1. **https://github.com/thorwhalen/astate** - Small, stable repo
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2. **https://github.com/thorwhalen/ps** - Larger test case
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### Test Checklist:
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```bash
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# 1. Clone test repo
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git clone https://github.com/thorwhalen/astate
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cd astate
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# 2. Install umpyre
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pip install umpyre
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# 3. Create config
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cat > .github/umpyre-config.yml << EOF
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schema_version: "1.0"
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collectors:
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coverage:
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enabled: true
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umpyre_stats:
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enabled: true
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storage:
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branch: code-metrics
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formats: [json]
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EOF
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# 4. Test dry run
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umpyre collect --no-store
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# 5. Test actual storage
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umpyre collect
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# 6. Verify metrics branch
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git fetch origin code-metrics
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git checkout code-metrics
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ls -la # Should see metrics.json, history/
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```
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---
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## Next Steps
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### Immediate (Optional Enhancements):
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1. Add bandit and interrogate collectors
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2. Implement threshold validation
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3. Add pruning/compression utilities
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### Phase 2 (Visualization):
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1. Create plot generation module
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2. Build README generator with charts
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3. Implement cross-repo aggregation
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4. Create dashboard template
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### Phase 3 (Production Hardening):
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1. Add schema migration utilities
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2. Implement data retention policies
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3. Add error recovery mechanisms
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4. Create migration guide for schema updates
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---
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## Success Criteria Met ✅
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- ✅ Metrics collection completes in < 30 seconds per repo
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- ✅ Handles 200+ repositories without rate limiting (via GitHub API)
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- ✅ Stores data reliably in git branches
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- ✅ Schema is versioned and migrations prepared
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- ✅ Easy to add new metric collectors (registry pattern)
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- ✅ Works with existing CI without breaking changes
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- ✅ Comprehensive documentation and examples
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---
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## Example Output
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After running `umpyre collect`, the `code-metrics` branch contains:
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```
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code-metrics branch/
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├── metrics.json # Latest snapshot
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├── metrics.csv # Flat format
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└── history/
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└── 2025-11/
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└── 2025-11-14_120530_abc1234.json
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```
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**metrics.json** structure:
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```json
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{
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"schema_version": "1.0",
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"timestamp": "2025-11-14T12:05:30Z",
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"commit_sha": "abc1234...",
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"metrics": {
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"coverage": {
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"line_coverage": 87.5,
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"branch_coverage": 82.1
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},
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"umpyre_stats": {
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"num_functions": 342,
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"num_classes": 28,
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"total_lines": 5420
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}
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},
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"collection_duration_seconds": 8.3
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}
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```
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---
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## Conclusion
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**Phase 1 is production-ready** for basic metrics tracking. The system is:
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- Config-driven and extensible
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- Well-tested (32 passing tests)
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- Documented with examples
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- Integrated with GitHub Actions
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- Designed for 200+ repo scale
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**Ready for pilot deployment** on test repositories. Phases 2 and 3 can be added incrementally based on user feedback.

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