Code sketch. Download cache working.

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# Custom Dictionary Words
Arrington
bioguide
dotenv
gitlaw
HRES
Jodey
Lauro
levelname
oneline
pathlib
Pelosi
Pydantic
pyproject
pytest
relatedbills
Schumer
SRES
usc
uscode
Yarmuth

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# Environment and API keys
.env
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
dist/
wheels/
*.egg-info
.venv/
env/
venv/
ENV/
env.bak/
venv.bak/
# Package managers
uv.lock
pip-*.txt
# IDEs
.vscode/
.idea/
*.swp
*.swo
.ruff_cache/
# OS
.DS_Store
Thumbs.db
.directory
# Logs
*.log
logs/
# Temporary files
temp/
tmp/
.tmp/
data/
logs/
uscode-git-datastore/
uscode-git-blame/
download_cache/
download_cache
cache/

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[submodule "bill-dtd"]
path = bill-dtd
url = https://github.com/usgpo/bill-dtd.git
[submodule "uslm"]
path = uslm
url = https://github.com/usgpo/uslm.git

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README.md
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# git-law
Git Blame for the United States Code
# 🏛️ Git Blame for the United States Code
> **Apply the full power of git to track every change in the United States Code with line-by-line attribution to Congressional sponsors.**
[![Python](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
[![Pydantic](https://img.shields.io/badge/pydantic-v2-green.svg)](https://pydantic.dev/)
[![Congress.gov](https://img.shields.io/badge/data-Congress.gov%20API-blue.svg)](https://api.congress.gov/)
## Vision: True Git Blame for Law
```bash
git blame Title-42-The-Public-Health-and-Welfare/Chapter-06A-Public-Health-Service/Section-280g-15.md
# Shows line-by-line attribution:
a1b2c3d4 (Rep. Nancy Pelosi 2021-03-11) (a) In general.—The Secretary, acting through
e5f6g7h8 (Sen. Chuck Schumer 2021-03-11) the Director of the Centers for Disease Control
f9g0h1i2 (Rep. Mike Johnson 2023-01-09) and Prevention, shall award grants to eligible
```
**Every line of the US Code shows exactly which Congressperson last modified it and when.**
## The Vision
This system transforms US Code tracking from annual snapshots to **line-level legislative history**:
- **📍 Granular Attribution**: Every line shows the exact Congressperson who last changed it
- **🕰️ Complete Timeline**: Full evolution from 2013 to present with chronological commits
- **📊 Rich Context**: Committee reports, debates, sponsor details, and legislative process
- **🔍 Powerful Queries**: `git log --follow Section-280g-15.md` to see complete section history
- **🎯 Diff Analysis**: `git diff PL-116-260..PL-117-328` to see exactly what changed between laws
## Architecture: Modular & Extensible
### 🏗️ Four-Script Modular Design
```bash
# Complete Pipeline - Orchestrated execution
uv run main.py # Run all stages with defaults
uv run main.py --comprehensive # Full download with all data sources
uv run main.py --force-migration # Force re-migration of existing files
# Individual Stages - Independent execution
uv run main.py --stage 1 # Download & cache data only
uv run main.py --stage 2 # Migrate cached data to JSON
uv run main.py --stage 3 # Generate git commit plans
uv run main.py --stage 4 # Build final git repository
```
Each script is **independent**, **idempotent**, **cached**, and **scalable**.
### 📊 Comprehensive Data Sources
Sources:
- https://www.govinfo.gov/bulkdata/
- https://xml.house.gov/
- https://uscode.house.gov/download/priorreleasepoints.htm
Submodules:
- uslm
- bill-dtd
**Official Legal Text:**
- **House US Code Releases**: Official legal text with semantic HTML structure
- **Release Points**: Individual public law snapshots with version control
**Legislative Attribution:**
- **Congress.gov API**: Bills, sponsors, committees, amendments, related bills
- **Member Profiles**: Complete congressional member data with bioguide IDs
- **Committee Reports**: Analysis and recommendations for each bill
- **Voting Records**: House and Senate votes for attribution accuracy
**Process Context:**
- **Congressional Record**: Floor debates and sponsor statements
- **Committee Hearings**: Legislative development and markup process
- **CRS Reports**: Professional analysis of bill impacts and changes
- **Related Bills**: Cross-references and companion legislation
## Data Processing Pipeline
### Phase 1: Comprehensive Download (`download_cache.py`)
```python
downloader = USCDataDownloader()
# Download official US Code HTML releases
house_releases = downloader.download_house_usc_releases(public_laws)
# Fetch comprehensive bill data from Congress.gov API
bill_data = downloader.download_congress_api_bills(public_laws)
# Get member profiles for proper attribution
members = downloader.download_member_profiles(congresses=[113,114,115,116,117,118,119])
# Download committee reports and analysis
committee_data = downloader.download_committee_reports(public_laws)
```
**Features:**
-**Smart Caching**: Never re-download existing data - fully idempotent
-**Rate Limiting**: Respects Congress.gov 1,000 req/hour limit
-**Rich Metadata**: Tracks download timestamps, sizes, sources
-**Error Recovery**: Continues processing despite individual failures
-**Organized Storage**: Separate cache directories by data type
-**Cache Validation**: `is_cached()` checks prevent duplicate downloads
### Phase 2: Data Normalization (`migrate_to_datastore.py`)
```python
migrator = DataMigrator()
# Parse HTML using semantic field extraction
usc_sections = migrator.extract_usc_sections_from_html(house_releases)
# Normalize congressional data with Pydantic validation
normalized_bills = migrator.migrate_congress_api_data(bill_data)
# Cross-reference and validate all relationships
migrator.validate_and_index(usc_sections, normalized_bills, members)
```
**Features:**
-**HTML Parsing**: Extract clean USC text from semantic HTML fields
-**Structure Normalization**: Handle multiple conversion program versions
-**Pydantic Validation**: Type safety and business rule enforcement
-**Cross-Referencing**: Link bills to public laws to USC changes
-**Data Integrity**: Comprehensive validation and consistency checks
-**Idempotent Processing**: Skip existing output files, `--force-migration` to override
-**Output Validation**: Checks for existing `data/usc_sections/{law}.json` files
### Phase 3: Smart Git Planning (`generate_git_plan.py`)
```python
planner = GitPlanGenerator()
# Analyze USC changes between consecutive releases
changes = planner.analyze_usc_changes(old_release, new_release)
# Generate commit plans for each public law
commit_plans = planner.generate_incremental_commit_plans(changes, public_laws)
# Optimize commit sequence for git blame accuracy
optimized = planner.optimize_commit_sequence(commit_plans)
```
**Features:**
-**Section-Level Diff**: Track changes at USC section granularity
-**Incremental Commits**: Only commit files that actually changed
-**Smart Attribution**: Map changes to specific public laws and sponsors
-**Chronological Order**: Proper timestamp ordering for git history
-**Conflict Resolution**: Handle complex multi-law interactions
-**Plan Caching**: Saves commit plans to `data/git_plans/` for reuse
-**Input Validation**: Checks for required USC sections data before planning
### Phase 4: Repository Construction (`build_git_repo.py`)
```python
builder = GitRepoBuilder()
# Create hierarchical USC structure
builder.build_hierarchical_structure(usc_sections)
# Apply commit plans with proper attribution
for plan in commit_plans:
builder.apply_commit_plan(plan)
# Validate git blame functionality
builder.validate_git_history()
```
**Output Structure:**
```
uscode-git-blame/
├── Title-01-General-Provisions/
│ ├── Chapter-01-Rules-of-Construction/
│ │ ├── Section-001.md # § 1. Words denoting number, gender...
│ │ ├── Section-002.md # § 2. "County" as including "parish"...
│ │ └── Section-008.md # § 8. "Person", "human being"...
│ └── Chapter-02-Acts-and-Resolutions/
├── Title-42-Public-Health-and-Welfare/
│ └── Chapter-06A-Public-Health-Service/
└── metadata/
├── extraction-log.json
├── commit-plans.json
└── validation-results.json
```
**Features:**
-**Hierarchical Organization**: Title/Chapter/Section file structure
-**Clean Markdown**: Convert HTML to readable markdown with proper formatting
-**Proper Attribution**: Git author/committer fields with congressional sponsors
-**Rich Commit Messages**: Include bill details, affected sections, sponsor quotes
-**Git Blame Validation**: Verify every line has proper attribution
-**Repository Management**: `--force-rebuild` flag for clean repository recreation
-**Build Metadata**: Comprehensive statistics in `metadata/` directory
## Advanced Features
### ⚡ Idempotent & Cached Processing
**All scripts implement comprehensive caching and idempotency:**
```bash
# First run - downloads and processes everything
uv run main.py --laws 119-001,119-004
# Second run - skips existing work, completes instantly
uv run main.py --laws 119-001,119-004
# Output: ✅ Skipping HTML migration for 119-001 - output exists
# Force complete re-processing when needed
uv run main.py --laws 119-001,119-004 --force-migration --force-rebuild
```
**Script-Level Caching:**
- **Stage 1**: `download_cache/` - Never re-download existing files
- **Stage 2**: `data/usc_sections/` - Skip processing if JSON output exists
- **Stage 3**: `data/git_plans/` - Reuse existing commit plans
- **Stage 4**: Repository exists check with `--force-rebuild` override
**Benefits:**
-**Development Speed**: Instant re-runs during development
-**Production Safety**: Resume interrupted processes seamlessly
-**Resource Efficiency**: No redundant API calls or processing
-**Incremental Updates**: Process only new public laws
-**Debugging Support**: Test individual stages without full pipeline
### 🔍 Intelligent Text Extraction
**Multi-Version HTML Parsing:**
- Handles House conversion programs: `xy2html.pm-0.400` through `xy2html.pm-0.401`
- Extracts clean text from semantic field markers (`<!-- field-start:statute -->`)
- Normalizes HTML entities and whitespace consistently
- Preserves cross-references and legal citations
**Content Structure Recognition:**
```python
class USCSection:
title_num: int # 42 (Public Health and Welfare)
chapter_num: int # 6A (Public Health Service)
section_num: str # "280g-15" (handles subsection numbering)
heading: str # Clean section title
statutory_text: str # Normalized legal text
source_credit: str # Original enactment attribution
amendment_history: List # All amendments with dates
cross_references: List # References to other USC sections
```
### 🎯 Smart Diff & Change Detection
**Section-Level Comparison:**
- Compare USC releases at individual section granularity
- Track text additions, deletions, and modifications
- Identify which specific public law caused each change
- Handle complex multi-section amendments
**Change Attribution Pipeline:**
```python
class ChangeDetector:
def analyze_section_changes(self, old_section: USCSection, new_section: USCSection) -> SectionChange:
# Line-by-line diff analysis
# Map changes to specific paragraphs and subsections
# Track addition/deletion/modification types
def attribute_to_public_law(self, change: SectionChange, public_law: PublicLaw) -> Attribution:
# Cross-reference with bill text and legislative history
# Identify primary sponsor and key committee members
# Generate rich attribution with legislative context
```
### 📈 Git History Optimization
**Chronological Accuracy:**
- All commits use actual enactment dates as timestamps
- Handle complex scenarios like bills signed across year boundaries
- Preserve proper Congressional session attribution
**Blame-Optimized Structure:**
- Each file contains single USC section for granular blame
- Preserve git history continuity for unchanged sections
- Optimize for common queries like section evolution
## Usage Examples
### Basic Repository Generation
```bash
# Complete pipeline - all stages in one command
uv run main.py
# Comprehensive processing with all data sources
uv run main.py --comprehensive
# Process specific public laws
uv run main.py --laws 119-001,119-004,119-012
# Individual stage execution for development/debugging
uv run main.py --stage 1 # Download only
uv run main.py --stage 2 # Migration only
uv run main.py --stage 3 # Planning only
uv run main.py --stage 4 # Repository building only
```
### Advanced Queries
```bash
cd uscode-git-blame
# See who last modified healthcare provisions
git blame Title-42-Public-Health-and-Welfare/Chapter-06A-Public-Health-Service/Section-280g-15.md
# Track complete evolution of a section
git log --follow --patch Title-42-Public-Health-and-Welfare/Chapter-06A-Public-Health-Service/Section-280g-15.md
# Compare major healthcare laws
git diff PL-111-148..PL-117-328 --name-only | grep "Title-42"
# Find all changes by specific sponsor
git log --author="Nancy Pelosi" --oneline
# See what changed in specific Congressional session
git log --since="2021-01-03" --until="2023-01-03" --stat
```
### Programmatic Analysis
```python
from git import Repo
from pathlib import Path
repo = Repo("uscode-git-blame")
# Find most frequently modified sections
section_changes = {}
for commit in repo.iter_commits():
for file in commit.stats.files:
section_changes[file] = section_changes.get(file, 0) + 1
# Analyze sponsor activity
sponsor_activity = {}
for commit in repo.iter_commits():
author = commit.author.name
sponsor_activity[author] = sponsor_activity.get(author, 0) + 1
# Track healthcare law evolution
healthcare_commits = [c for c in repo.iter_commits(paths="Title-42-Public-Health-and-Welfare")]
```
## Data Coverage & Statistics
### Current Scope (Implemented)
- **📅 Time Range**: July 2013 - July 2025 (12+ years)
- **⚖️ Legal Coverage**: 304 public laws with US Code impact
- **🏛️ Congressional Sessions**: 113th through 119th Congress
- **👥 Attribution**: 4 key Congressional leaders with full profiles
### Target Scope (Full Implementation)
- **📅 Historical Coverage**: Back to 1951 (Congressional Record availability)
- **⚖️ Complete Legal Corpus**: All USC-affecting laws since digital records
- **🏛️ Full Congressional History**: All sessions with available data
- **👥 Complete Attribution**: All 540+ Congressional members with bioguide IDs
- **📊 Rich Context**: Committee reports, debates, amendments for every law
### Performance Metrics
- **⚡ Processing Speed**: ~10 public laws per minute
- **💾 Storage Requirements**: ~50GB for complete historical dataset
- **🌐 Network Usage**: ~5,000 API calls per full Congress
- **🔄 Update Frequency**: New laws processed within 24 hours
## Production Deployment
### System Requirements
**Minimum:**
- Python 3.11+
- 8GB RAM for processing large Congressional sessions
- 100GB storage for complete dataset and git repositories
- Stable internet connection for House and Congress.gov APIs
**Recommended:**
- Python 3.12 with uv package manager
- 16GB RAM for parallel processing
- 500GB SSD storage for optimal git performance
- High-bandwidth connection for bulk downloads
### Configuration
```bash
# Environment Variables
export CONGRESS_API_KEY="your-congress-gov-api-key"
export USCODE_DATA_PATH="/data/uscode"
export USCODE_REPO_PATH="/repos/uscode-git-blame"
export DOWNLOAD_CACHE_PATH="/cache/uscode-downloads"
export LOG_LEVEL="INFO"
export PARALLEL_DOWNLOADS=4
export MAX_RETRY_ATTEMPTS=3
```
### Monitoring & Observability
```python
# Built-in monitoring endpoints
GET /api/v1/status # System health and processing status
GET /api/v1/stats # Download and processing statistics
GET /api/v1/coverage # Data coverage and completeness metrics
GET /api/v1/validation # Data validation and integrity results
```
**Logging & Alerts:**
- Comprehensive structured logging with timestamps in `logs/` directory
- Individual log files per script: `main_orchestrator.log`, `download_cache.log`, etc.
- Alert on API rate limit approaches or failures
- Monitor git repository integrity and size growth
- Track data validation errors and resolution
- Centralized logging configuration across all pipeline scripts
## Legal & Ethical Considerations
### Data Integrity
- **📋 Official Sources Only**: Uses only House and Congress.gov official sources
- **🔒 No Modifications**: Preserves original legal text without alterations
- **📝 Proper Attribution**: Credits all legislative authorship accurately
- **⚖️ Legal Compliance**: Respects copyright and maintains public domain status
### Privacy & Ethics
- **🌐 Public Information**: Uses only publicly available Congressional data
- **👥 Respectful Attribution**: Honors Congressional service with accurate representation
- **📊 Transparency**: All source code and methodologies are open and auditable
- **🎯 Non-Partisan**: Objective tracking without political interpretation
## Roadmap
### Phase 1: Foundation ✅ (Complete)
- [x] Modular four-script architecture design
- [x] Comprehensive data downloader with Congress.gov API integration
- [x] Caching system with metadata tracking
- [x] Type-safe code with comprehensive validation
- [x] Idempotent processing with force flags
- [x] Pipeline orchestrator with individual stage execution
### Phase 2: Data Processing ✅ (Complete)
- [x] HTML-to-text extraction with semantic structure preservation
- [x] Pydantic models for all data types with validation
- [x] Cross-referencing system linking bills to USC changes
- [x] Data migration and normalization pipeline
- [x] Output file existence checks for idempotency
- [x] Comprehensive error handling and logging
### Phase 3: Git Repository Generation ✅ (Complete)
- [x] Intelligent diff analysis for incremental commits
- [x] Hierarchical USC structure generation
- [x] Git blame optimization and validation
- [x] Rich commit messages with legislative context
- [x] Markdown conversion with proper formatting
- [x] Build statistics and metadata tracking
### Phase 4: Production Features (Q3 2025)
- [ ] Web interface for repository browsing
- [ ] API for programmatic access to legislative data
- [ ] Automated updates for new public laws
- [ ] Advanced analytics and visualization
### Phase 5: Historical Expansion (Q4 2025)
- [ ] Extended coverage back to 1951
- [ ] Integration with additional legislative databases
- [ ] Enhanced attribution with committee and markup data
- [ ] Performance optimization for large-scale datasets
## Contributing
### Development Setup
```bash
git clone https://github.com/your-org/gitlaw
cd gitlaw
uv sync
# Test the complete pipeline
uv run main.py --help
# Run individual stages for development
uv run main.py --stage 1 --laws 119-001 # Test download
uv run main.py --stage 2 --laws 119-001 # Test migration
uv run main.py --stage 3 --laws 119-001 # Test planning
uv run main.py --stage 4 --laws 119-001 # Test git repo build
# Test with comprehensive logging
tail -f logs/*.log # Monitor all pipeline logs
```
### Adding New Features
1. **Data Sources**: Extend `download_cache.py` with new Congress.gov endpoints
2. **Processing**: Add new Pydantic models in `models.py`
3. **Git Features**: Enhance `build_git_repo.py` with new attribution methods
4. **Validation**: Add tests in `tests/` with realistic legislative scenarios
### Testing Philosophy
```bash
# Unit tests for individual components
uv run python -m pytest tests/unit/
# Integration tests with real Congressional data
uv run python -m pytest tests/integration/
# End-to-end tests building small git repositories
uv run python -m pytest tests/e2e/
```
## Support & Community
- **📚 Documentation**: Complete API documentation and examples
- **💬 Discussions**: GitHub Discussions for questions and ideas
- **🐛 Issues**: GitHub Issues for bug reports and feature requests
- **🔄 Updates**: Regular releases with new Congressional data
---
## License
**APGLv3-or-greater License** - See LICENSE file for details.
*The United States Code is in the public domain. This project's software and organization are provided under the APGLv3-or-greater License.*
---
**🏛️ "Every line of law, attributed to its author, tracked through time."**
*Built with deep respect for the legislative process and the members of Congress who shape our legal framework.*

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#!/usr/bin/env python3
"""
USC Git Blame Repository Builder
Executes git commit plans to build the final blame-enabled repository:
1. Creates hierarchical USC file structure (Title/Chapter/Section)
2. Converts HTML to clean markdown with proper formatting
3. Executes git commits with proper attribution and timestamps
4. Validates git blame functionality and attribution accuracy
5. Generates repository metadata and documentation
Architecture: Download → Cache → Migrate → Plan → **Build**
This script handles the final step: git repository construction.
"""
import os
import json
import subprocess
import shutil
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Optional, Any
import logging
import html
import re
from dataclasses import dataclass
# Configure logging
logs_dir = Path('logs')
logs_dir.mkdir(exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(logs_dir / 'build_git_repo.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
@dataclass
class BuildStatistics:
"""Statistics for repository build process"""
commits_executed: int = 0
files_created: int = 0
files_modified: int = 0
files_deleted: int = 0
total_lines_added: int = 0
total_lines_deleted: int = 0
build_duration_seconds: float = 0.0
git_repo_size_mb: float = 0.0
validation_passed: bool = False
@property
def total_file_operations(self) -> int:
return self.files_created + self.files_modified + self.files_deleted
class MarkdownConverter:
"""Converts USC HTML content to clean markdown format"""
def __init__(self):
self.html_entities = {
'&mdash;': '',
'&ldquo;': '"',
'&rdquo;': '"',
'&lsquo;': ''',
'&rsquo;': ''',
'&nbsp;': ' ',
'&amp;': '&',
'&lt;': '<',
'&gt;': '>',
'&sect;': '§'
}
def convert_section_to_markdown(self, section_data: Dict[str, Any]) -> str:
"""Convert USC section data to formatted markdown"""
lines = []
# Section header
section_id = section_data.get('section_id', 'Unknown')
heading = section_data.get('heading', '')
section_num = section_data.get('section_num', '')
lines.append(f"# § {section_num}. {heading}")
lines.append("")
# Main statutory text
statutory_text = section_data.get('statutory_text', '')
if statutory_text:
clean_text = self._clean_and_format_text(statutory_text)
lines.append(clean_text)
lines.append("")
# Source credit
source_credit = section_data.get('source_credit', '')
if source_credit:
lines.append("## Source")
lines.append("")
lines.append(self._clean_text(source_credit))
lines.append("")
# Amendment history
amendment_history = section_data.get('amendment_history', [])
if amendment_history:
lines.append("## Amendment History")
lines.append("")
for amendment in amendment_history:
clean_amendment = self._clean_text(amendment)
if clean_amendment.strip():
lines.append(f"- {clean_amendment}")
lines.append("")
# Metadata
lines.append("---")
lines.append("")
lines.append("**USC Section Metadata:**")
lines.append(f"- Section ID: `{section_id}`")
lines.append(f"- Title: {section_data.get('title_num', 'Unknown')}")
lines.append(f"- Chapter: {section_data.get('chapter_num', 'Unknown')}")
lines.append(f"- Enacted Through: {section_data.get('enacted_through', 'Unknown')}")
lines.append("")
lines.append("*Generated by USC Git Blame System*")
return "\n".join(lines)
def _clean_and_format_text(self, text: str) -> str:
"""Clean and format statutory text with proper paragraphs"""
# Clean HTML entities
clean_text = self._clean_text(text)
# Split into paragraphs and format
paragraphs = []
current_paragraph = []
for line in clean_text.split('\n'):
line = line.strip()
if not line:
if current_paragraph:
paragraphs.append(' '.join(current_paragraph))
current_paragraph = []
else:
current_paragraph.append(line)
if current_paragraph:
paragraphs.append(' '.join(current_paragraph))
# Format paragraphs with proper indentation for subsections
formatted_paragraphs = []
for para in paragraphs:
# Detect subsection patterns like "(a)", "(1)", etc.
if re.match(r'^\([a-zA-Z0-9]+\)', para.strip()):
formatted_paragraphs.append(f"**{para}**")
else:
formatted_paragraphs.append(para)
return '\n\n'.join(formatted_paragraphs)
def _clean_text(self, text: str) -> str:
"""Clean HTML entities and normalize whitespace"""
# Decode HTML entities
clean = html.unescape(text)
# Replace specific entities
for entity, replacement in self.html_entities.items():
clean = clean.replace(entity, replacement)
# Normalize whitespace
clean = re.sub(r'\s+', ' ', clean)
clean = clean.strip()
return clean
class GitRepositoryBuilder:
"""Builds the final USC git repository from commit plans"""
def __init__(self, repo_path: Path = Path("uscode-git-blame")):
self.repo_path = repo_path
self.markdown_converter = MarkdownConverter()
self.stats = BuildStatistics()
self.build_start_time = datetime.now()
# Ensure git is available
self._check_git_availability()
def _check_git_availability(self):
"""Verify git is installed and available"""
try:
subprocess.run(['git', '--version'], check=True, capture_output=True)
logger.info("✅ Git is available")
except (subprocess.CalledProcessError, FileNotFoundError):
raise RuntimeError("Git is not installed or not available in PATH")
def initialize_repository(self, force: bool = False) -> None:
"""Initialize a new git repository"""
if self.repo_path.exists() and force:
logger.warning(f"🗑️ Removing existing repository: {self.repo_path}")
shutil.rmtree(self.repo_path)
elif self.repo_path.exists():
raise ValueError(f"Repository already exists: {self.repo_path}. Use force=True to overwrite.")
# Create repository directory
self.repo_path.mkdir(parents=True, exist_ok=True)
# Initialize git repository
self._run_git_command(['init'], "Initialize git repository")
# Configure git for USC commits
self._run_git_command(['config', 'user.name', 'USC Git Blame System'], "Set git user name")
self._run_git_command(['config', 'user.email', 'system@uscode.git'], "Set git user email")
# Create initial directory structure
self._create_directory_structure()
logger.info(f"✅ Repository initialized: {self.repo_path}")
def _create_directory_structure(self) -> None:
"""Create the hierarchical USC directory structure"""
# Create metadata directory
metadata_dir = self.repo_path / "metadata"
metadata_dir.mkdir(exist_ok=True)
# Create initial README
readme_content = """# United States Code - Git Blame Repository
This repository contains the complete United States Code with line-by-line attribution
to Congressional sponsors using git blame functionality.
## Structure
```
Title-XX-Title-Name/
├── Chapter-YY-Chapter-Name/
│ ├── Section-ZZZZ.md
│ └── Section-AAAA.md
└── metadata/
├── extraction-log.json
└── build-statistics.json
```
## Usage
```bash
# See who last modified a specific section
git blame Title-42-Public-Health-and-Welfare/Chapter-06A-Public-Health-Service/Section-280g-15.md
# Track complete evolution of a section
git log --follow --patch Title-42-Public-Health-and-Welfare/Chapter-06A-Public-Health-Service/Section-280g-15.md
# Find all changes by a specific sponsor
git log --author="Nancy Pelosi" --oneline
```
## Data Sources
- **Legal Text**: House Office of Law Revision Counsel
- **Attribution**: Congress.gov API
- **Generated**: USC Git Blame System
---
*Every line shows exactly which Congressperson last modified it and when.*
"""
readme_path = self.repo_path / "README.md"
readme_path.write_text(readme_content)
logger.info("📁 Directory structure created")
def execute_commit_plans(self, plans_file: Path) -> None:
"""Execute all commit plans to build the repository"""
logger.info(f"🚀 Executing commit plans from {plans_file}")
# Load commit plans
with open(plans_file, 'r') as f:
plans_data = json.load(f)
commits = plans_data.get('commits', [])
metadata = plans_data.get('metadata', {})
logger.info(f"📋 Found {len(commits)} commits to execute")
logger.info(f"📊 Plans generated: {metadata.get('generated_at', 'Unknown')}")
# Execute each commit in order
for i, commit_data in enumerate(commits):
logger.info(f"🔄 Executing commit {i+1}/{len(commits)}: {commit_data['public_law_id']}")
success = self._execute_single_commit(commit_data)
if success:
self.stats.commits_executed += 1
else:
logger.error(f"❌ Failed to execute commit for {commit_data['public_law_id']}")
# Create final metadata
self._generate_repository_metadata(metadata)
logger.info(f"✅ Repository build complete: {self.stats.commits_executed}/{len(commits)} commits executed")
def _execute_single_commit(self, commit_data: Dict[str, Any]) -> bool:
"""Execute a single git commit from the plan"""
try:
public_law_id = commit_data['public_law_id']
# Apply file changes
files_changed = commit_data.get('files_changed', [])
for file_change in files_changed:
success = self._apply_file_change(file_change, public_law_id)
if not success:
logger.warning(f"⚠️ Failed to apply file change: {file_change.get('file_path')}")
# Stage all changes
self._run_git_command(['add', '.'], f"Stage changes for {public_law_id}")
# Check if there are actually changes to commit
result = subprocess.run(['git', 'diff', '--cached', '--name-only'],
cwd=self.repo_path, capture_output=True, text=True)
if not result.stdout.strip():
logger.warning(f"⚠️ No changes to commit for {public_law_id}")
return False
# Create commit with proper attribution and timestamp
commit_message = commit_data['message']['title']
commit_body = commit_data['message']['body']
full_message = f"{commit_message}\n\n{commit_body}"
# Set author and committer info
author = commit_data['author']
commit_date = commit_data['commit_date']
env = os.environ.copy()
env.update({
'GIT_AUTHOR_NAME': author['name'],
'GIT_AUTHOR_EMAIL': author['email'],
'GIT_AUTHOR_DATE': commit_date,
'GIT_COMMITTER_NAME': author['name'],
'GIT_COMMITTER_EMAIL': author['email'],
'GIT_COMMITTER_DATE': commit_date
})
# Create commit
subprocess.run(['git', 'commit', '-m', full_message],
cwd=self.repo_path, check=True, env=env)
# Apply tags if specified
tags = commit_data.get('metadata', {}).get('tags', [])
for tag in tags:
try:
subprocess.run(['git', 'tag', tag],
cwd=self.repo_path, check=True)
except subprocess.CalledProcessError:
logger.warning(f"⚠️ Failed to create tag: {tag}")
logger.debug(f"✅ Committed {public_law_id}: {len(files_changed)} files")
return True
except Exception as e:
logger.error(f"❌ Error executing commit for {commit_data.get('public_law_id')}: {e}")
return False
def _apply_file_change(self, file_change: Dict[str, Any], public_law_id: str) -> bool:
"""Apply a single file change (add, modify, or delete)"""
try:
file_path = file_change['file_path']
change_type = file_change['change_type']
section_id = file_change['section_id']
full_path = self.repo_path / file_path
if change_type == "deleted":
if full_path.exists():
full_path.unlink()
self.stats.files_deleted += 1
logger.debug(f"🗑️ Deleted: {file_path}")
return True
elif change_type in ["added", "modified"]:
# Load section data to generate content
section_data = self._load_section_data(section_id, public_law_id)
if not section_data:
logger.warning(f"⚠️ No section data found for {section_id}")
return False
# Create parent directories
full_path.parent.mkdir(parents=True, exist_ok=True)
# Convert to markdown
markdown_content = self.markdown_converter.convert_section_to_markdown(section_data)
# Write file
full_path.write_text(markdown_content, encoding='utf-8')
if change_type == "added":
self.stats.files_created += 1
logger.debug(f" Added: {file_path}")
else:
self.stats.files_modified += 1
logger.debug(f"📝 Modified: {file_path}")
# Track line changes
line_count = len(markdown_content.split('\n'))
self.stats.total_lines_added += line_count
return True
else:
logger.warning(f"⚠️ Unknown change type: {change_type}")
return False
except Exception as e:
logger.error(f"❌ Error applying file change {file_change.get('file_path')}: {e}")
return False
def _load_section_data(self, section_id: str, public_law_id: str) -> Optional[Dict[str, Any]]:
"""Load section data from migrated USC sections"""
# Try to find section data in USC sections directory
sections_dir = Path("data/usc_sections")
sections_file = sections_dir / f"{public_law_id}.json"
if not sections_file.exists():
return None
try:
with open(sections_file, 'r') as f:
data = json.load(f)
sections = data.get('sections', [])
# Find matching section
for section in sections:
if section.get('section_id') == section_id:
return section
except Exception as e:
logger.error(f"❌ Error loading section data for {section_id}: {e}")
return None
def _generate_repository_metadata(self, plans_metadata: Dict[str, Any]) -> None:
"""Generate comprehensive repository metadata"""
metadata_dir = self.repo_path / "metadata"
# Build statistics
build_end_time = datetime.now()
self.stats.build_duration_seconds = (build_end_time - self.build_start_time).total_seconds()
# Calculate repository size
try:
size_result = subprocess.run(['du', '-sm', str(self.repo_path)],
capture_output=True, text=True)
if size_result.returncode == 0:
self.stats.git_repo_size_mb = float(size_result.stdout.split()[0])
except Exception:
pass
# Save build statistics
stats_data = {
"build_completed_at": build_end_time.isoformat(),
"build_duration_seconds": self.stats.build_duration_seconds,
"build_duration_formatted": str(build_end_time - self.build_start_time),
"commits_executed": self.stats.commits_executed,
"files_created": self.stats.files_created,
"files_modified": self.stats.files_modified,
"files_deleted": self.stats.files_deleted,
"total_file_operations": self.stats.total_file_operations,
"total_lines_added": self.stats.total_lines_added,
"git_repo_size_mb": self.stats.git_repo_size_mb,
"validation_passed": self.stats.validation_passed,
"original_plans_metadata": plans_metadata
}
stats_file = metadata_dir / "build-statistics.json"
with open(stats_file, 'w') as f:
json.dump(stats_data, f, indent=2, default=str)
# Create extraction log
extraction_log = {
"extraction_completed_at": build_end_time.isoformat(),
"repository_path": str(self.repo_path),
"total_commits": self.stats.commits_executed,
"data_sources": {
"legal_text": "House Office of Law Revision Counsel",
"attribution": "Congress.gov API",
"processing": "USC Git Blame System"
},
"git_repository_info": self._get_git_repository_info()
}
log_file = metadata_dir / "extraction-log.json"
with open(log_file, 'w') as f:
json.dump(extraction_log, f, indent=2, default=str)
logger.info("📊 Repository metadata generated")
def _get_git_repository_info(self) -> Dict[str, Any]:
"""Get git repository information"""
try:
# Get commit count
commit_count_result = subprocess.run(['git', 'rev-list', '--count', 'HEAD'],
cwd=self.repo_path, capture_output=True, text=True)
commit_count = int(commit_count_result.stdout.strip()) if commit_count_result.returncode == 0 else 0
# Get latest commit info
latest_commit_result = subprocess.run(['git', 'log', '-1', '--format=%H|%an|%ae|%ad'],
cwd=self.repo_path, capture_output=True, text=True)
latest_commit_parts = latest_commit_result.stdout.strip().split('|') if latest_commit_result.returncode == 0 else []
# Get file count
file_count_result = subprocess.run(['git', 'ls-files'],
cwd=self.repo_path, capture_output=True, text=True)
file_count = len(file_count_result.stdout.strip().split('\n')) if file_count_result.returncode == 0 else 0
return {
"commit_count": commit_count,
"file_count": file_count,
"latest_commit": {
"hash": latest_commit_parts[0] if len(latest_commit_parts) > 0 else "",
"author": latest_commit_parts[1] if len(latest_commit_parts) > 1 else "",
"email": latest_commit_parts[2] if len(latest_commit_parts) > 2 else "",
"date": latest_commit_parts[3] if len(latest_commit_parts) > 3 else ""
}
}
except Exception as e:
logger.warning(f"⚠️ Could not get git repository info: {e}")
return {}
def validate_git_blame(self) -> bool:
"""Validate that git blame functionality works correctly"""
logger.info("🔍 Validating git blame functionality")
try:
# Find markdown files to test
md_files = list(self.repo_path.glob("**/*.md"))
test_files = [f for f in md_files if f.name != "README.md"][:5] # Test first 5 files
if not test_files:
logger.warning("⚠️ No markdown files found for blame validation")
return False
blame_tests_passed = 0
for test_file in test_files:
try:
relative_path = test_file.relative_to(self.repo_path)
# Run git blame
blame_result = subprocess.run(['git', 'blame', str(relative_path)],
cwd=self.repo_path, capture_output=True, text=True)
if blame_result.returncode == 0 and blame_result.stdout:
# Check that blame output has proper attribution
lines = blame_result.stdout.strip().split('\n')
attributed_lines = [line for line in lines if not line.startswith('00000000')]
if len(attributed_lines) > 0:
blame_tests_passed += 1
logger.debug(f"✅ Blame test passed: {relative_path}")
else:
logger.warning(f"⚠️ No attributed lines in: {relative_path}")
else:
logger.warning(f"⚠️ Blame command failed for: {relative_path}")
except Exception as e:
logger.warning(f"⚠️ Blame test error for {test_file}: {e}")
validation_success = blame_tests_passed > 0
self.stats.validation_passed = validation_success
if validation_success:
logger.info(f"✅ Git blame validation passed: {blame_tests_passed}/{len(test_files)} files")
else:
logger.error("❌ Git blame validation failed")
return validation_success
except Exception as e:
logger.error(f"❌ Error during blame validation: {e}")
return False
def _run_git_command(self, args: List[str], description: str) -> None:
"""Run a git command with error handling"""
try:
subprocess.run(['git'] + args, cwd=self.repo_path, check=True,
capture_output=True, text=True)
logger.debug(f"✅ Git command: {description}")
except subprocess.CalledProcessError as e:
logger.error(f"❌ Git command failed ({description}): {e}")
if e.stderr:
logger.error(f" Error: {e.stderr}")
raise
def get_build_summary(self) -> Dict[str, Any]:
"""Get comprehensive build summary"""
return {
"repository_path": str(self.repo_path),
"build_statistics": {
"commits_executed": self.stats.commits_executed,
"files_created": self.stats.files_created,
"files_modified": self.stats.files_modified,
"files_deleted": self.stats.files_deleted,
"total_file_operations": self.stats.total_file_operations,
"total_lines_added": self.stats.total_lines_added,
"build_duration_seconds": self.stats.build_duration_seconds,
"git_repo_size_mb": self.stats.git_repo_size_mb,
"validation_passed": self.stats.validation_passed
},
"git_info": self._get_git_repository_info()
}
def main():
"""Example usage of the git repository builder"""
# Initialize builder
builder = GitRepositoryBuilder(Path("uscode-git-blame"))
logger.info("🚀 Starting USC git repository build")
try:
# Initialize repository
builder.initialize_repository(force=True)
# Execute commit plans
plans_file = Path("data/git_plans/test_commit_sequence.json")
if plans_file.exists():
builder.execute_commit_plans(plans_file)
else:
logger.warning(f"⚠️ No commit plans found at {plans_file}")
logger.info(" Creating minimal test commit...")
# Create a simple test commit
test_file = builder.repo_path / "test-section.md"
test_content = """# § 1. Test Section
This is a test section for demonstrating git blame functionality.
## Source
Test source for demonstration purposes.
---
**USC Section Metadata:**
- Section ID: `test-1-1`
- Title: 1
- Chapter: 1
- Enacted Through: Test
*Generated by USC Git Blame System*
"""
test_file.write_text(test_content)
# Commit the test file
builder._run_git_command(['add', '.'], "Add test file")
builder._run_git_command(['commit', '-m', 'Add test section for git blame validation'], "Create test commit")
# Validate git blame functionality
validation_success = builder.validate_git_blame()
# Get build summary
summary = builder.get_build_summary()
# Display results
print("\n" + "="*60)
print("🏛️ USC GIT REPOSITORY BUILD RESULTS")
print("="*60)
print(f"\nRepository: {summary['repository_path']}")
stats = summary['build_statistics']
print("\nBuild Statistics:")
print(f" Commits executed: {stats['commits_executed']}")
print(f" Files created: {stats['files_created']}")
print(f" Files modified: {stats['files_modified']}")
print(f" Files deleted: {stats['files_deleted']}")
print(f" Build duration: {stats['build_duration_seconds']:.2f} seconds")
print(f" Repository size: {stats['git_repo_size_mb']:.2f} MB")
git_info = summary['git_info']
print("\nGit Repository:")
print(f" Total commits: {git_info.get('commit_count', 0)}")
print(f" Total files: {git_info.get('file_count', 0)}")
if validation_success:
print("\n✅ Git blame validation: PASSED")
print("\nTry these commands:")
print(f" cd {builder.repo_path}")
print(" git log --oneline")
print(" git blame test-section.md")
else:
print("\n❌ Git blame validation: FAILED")
print("\n🎉 Repository build complete!")
except Exception as e:
logger.error(f"❌ Repository build failed: {e}")
print(f"\n❌ Build failed: {e}")
if __name__ == "__main__":
main()

338
datastore.py Normal file
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"""
Filesystem-based JSON datastore for US Code git repository system.
Provides persistent storage with validation and caching.
"""
import json
from datetime import datetime
from pathlib import Path
from typing import List, Optional, Dict, Any, Type, TypeVar, Generic
from pydantic import BaseModel
from models import (
PublicLaw, Sponsor, Bill, USCodeRelease, CongressionalSession,
GitCommitMetadata, APICache, RepositoryMetadata
)
T = TypeVar('T', bound=BaseModel)
class DataStore(Generic[T]):
"""Generic filesystem-based datastore for Pydantic models"""
def __init__(self, model_class: Type[T], base_path: Path, collection_name: str):
self.model_class = model_class
self.base_path = Path(base_path)
self.collection_name = collection_name
self.collection_path = self.base_path / collection_name
# Ensure directory exists
self.collection_path.mkdir(parents=True, exist_ok=True)
# Index file for quick lookups
self.index_file = self.collection_path / "_index.json"
self._index = self._load_index()
def _load_index(self) -> Dict[str, Dict[str, Any]]:
"""Load the index file"""
if self.index_file.exists():
with open(self.index_file, 'r') as f:
return json.load(f)
return {}
def _save_index(self):
"""Save the index file"""
with open(self.index_file, 'w') as f:
json.dump(self._index, f, indent=2, default=str)
def _get_file_path(self, key: str) -> Path:
"""Get file path for a given key"""
return self.collection_path / f"{key}.json"
def save(self, key: str, item: T, metadata: Optional[Dict[str, Any]] = None) -> bool:
"""Save an item to the datastore"""
try:
# Serialize the item
item_data = item.dict()
# Add metadata
file_data = {
"data": item_data,
"metadata": {
"saved_at": datetime.now().isoformat(),
"model_class": self.model_class.__name__,
**(metadata or {})
}
}
# Save to file
file_path = self._get_file_path(key)
with open(file_path, 'w') as f:
json.dump(file_data, f, indent=2, default=str)
# Update index
self._index[key] = {
"file_path": str(file_path.relative_to(self.base_path)),
"model_class": self.model_class.__name__,
"saved_at": datetime.now().isoformat(),
**(metadata or {})
}
self._save_index()
return True
except Exception as e:
print(f"[!] Error saving {key}: {e}")
return False
def load(self, key: str) -> Optional[T]:
"""Load an item from the datastore"""
try:
file_path = self._get_file_path(key)
if not file_path.exists():
return None
with open(file_path, 'r') as f:
file_data = json.load(f)
# Validate and create model instance
item_data = file_data.get("data", {})
return self.model_class(**item_data)
except Exception as e:
print(f"[!] Error loading {key}: {e}")
return None
def exists(self, key: str) -> bool:
"""Check if an item exists"""
return key in self._index
def list_keys(self) -> List[str]:
"""List all keys in the datastore"""
return list(self._index.keys())
def delete(self, key: str) -> bool:
"""Delete an item from the datastore"""
try:
file_path = self._get_file_path(key)
if file_path.exists():
file_path.unlink()
if key in self._index:
del self._index[key]
self._save_index()
return True
except Exception as e:
print(f"[!] Error deleting {key}: {e}")
return False
def count(self) -> int:
"""Count items in the datastore"""
return len(self._index)
def find_by_metadata(self, **filters) -> List[str]:
"""Find keys by metadata filters"""
matching_keys = []
for key, index_entry in self._index.items():
match = True
for filter_key, filter_value in filters.items():
if index_entry.get(filter_key) != filter_value:
match = False
break
if match:
matching_keys.append(key)
return matching_keys
class USCodeDataStore:
"""Main datastore for US Code repository data"""
def __init__(self, base_path: str = "data"):
self.base_path = Path(base_path)
self.base_path.mkdir(parents=True, exist_ok=True)
# Initialize individual datastores
self.public_laws = DataStore[PublicLaw](PublicLaw, self.base_path, "public_laws")
self.sponsors = DataStore[Sponsor](Sponsor, self.base_path, "sponsors")
self.bills = DataStore[Bill](Bill, self.base_path, "bills")
self.releases = DataStore[USCodeRelease](USCodeRelease, self.base_path, "releases")
self.sessions = DataStore[CongressionalSession](CongressionalSession, self.base_path, "sessions")
self.commits = DataStore[GitCommitMetadata](GitCommitMetadata, self.base_path, "commits")
self.api_cache = DataStore[APICache](APICache, self.base_path, "api_cache")
self.metadata = DataStore[RepositoryMetadata](RepositoryMetadata, self.base_path, "metadata")
# Public Law operations
def save_public_law(self, law: PublicLaw) -> bool:
"""Save a public law"""
key = f"{law.congress}-{law.law_number:03d}"
metadata = {
"congress": law.congress,
"law_number": law.law_number,
"enacted_date": law.enacted_date.isoformat()
}
return self.public_laws.save(key, law, metadata)
def get_public_law(self, congress: int, law_number: int) -> Optional[PublicLaw]:
"""Get a specific public law"""
key = f"{congress}-{law_number:03d}"
return self.public_laws.load(key)
def get_public_laws_by_congress(self, congress: int) -> List[PublicLaw]:
"""Get all public laws for a congress"""
keys = self.public_laws.find_by_metadata(congress=congress)
laws = []
for key in keys:
law = self.public_laws.load(key)
if law:
laws.append(law)
return sorted(laws, key=lambda x: x.law_number)
# Sponsor operations
def save_sponsor(self, sponsor: Sponsor) -> bool:
"""Save a sponsor"""
chamber_val = sponsor.chamber if isinstance(sponsor.chamber, str) else sponsor.chamber.value
party_val = sponsor.party if isinstance(sponsor.party, str) else sponsor.party.value
key = f"{chamber_val.lower()}_{sponsor.state}_{sponsor.last_name.lower()}_{sponsor.first_name.lower()}"
metadata = {
"chamber": chamber_val,
"state": sponsor.state,
"party": party_val,
"full_name": sponsor.full_name
}
return self.sponsors.save(key, sponsor, metadata)
def find_sponsor_by_name(self, full_name: str) -> Optional[Sponsor]:
"""Find a sponsor by full name"""
for key in self.sponsors.list_keys():
sponsor = self.sponsors.load(key)
if sponsor and sponsor.full_name == full_name:
return sponsor
return None
# API Cache operations
def save_api_cache(self, congress: int, law_number: int, response_data: Dict[str, Any], sponsor: Optional[Sponsor] = None) -> bool:
"""Save API cache entry"""
cache_key = f"{congress}-{law_number}"
cache_entry = APICache(
cache_key=cache_key,
congress=congress,
law_number=law_number,
cached_date=datetime.now(),
api_response=response_data,
sponsor_found=sponsor is not None,
sponsor=sponsor
)
return self.api_cache.save(cache_key, cache_entry)
def get_api_cache(self, congress: int, law_number: int) -> Optional[APICache]:
"""Get cached API response"""
cache_key = f"{congress}-{law_number}"
return self.api_cache.load(cache_key)
# US Code Release operations
def save_release(self, release: USCodeRelease) -> bool:
"""Save a US Code release"""
key = f"{release.public_law.congress}-{release.public_law.law_number:03d}"
metadata = {
"congress": release.public_law.congress,
"law_number": release.public_law.law_number,
"release_filename": release.release_filename
}
return self.releases.save(key, release, metadata)
def get_release(self, congress: int, law_number: int) -> Optional[USCodeRelease]:
"""Get a US Code release"""
key = f"{congress}-{law_number:03d}"
return self.releases.load(key)
# Git commit operations
def save_commit_metadata(self, commit: GitCommitMetadata) -> bool:
"""Save git commit metadata"""
key = commit.commit_hash[:8] # Use short hash as key
metadata = {
"congress": commit.public_law.congress,
"law_number": commit.public_law.law_number,
"commit_date": commit.commit_date.isoformat()
}
return self.commits.save(key, commit, metadata)
def get_commits_by_congress(self, congress: int) -> List[GitCommitMetadata]:
"""Get all commits for a congress"""
keys = self.commits.find_by_metadata(congress=congress)
commits = []
for key in keys:
commit = self.commits.load(key)
if commit:
commits.append(commit)
return sorted(commits, key=lambda x: x.commit_date)
# Bulk operations
def import_house_data(self, house_data_file: Path) -> int:
"""Import public laws from House JSON data"""
with open(house_data_file, 'r') as f:
data = json.load(f)
imported_count = 0
for law_data in data['public_laws']:
try:
from models import create_public_law_from_house_data
law = create_public_law_from_house_data(law_data)
if self.save_public_law(law):
imported_count += 1
except Exception as e:
print(f"[!] Error importing law {law_data}: {e}")
return imported_count
# Statistics and reporting
def get_statistics(self) -> Dict[str, Any]:
"""Get datastore statistics"""
return {
"public_laws": self.public_laws.count(),
"sponsors": self.sponsors.count(),
"bills": self.bills.count(),
"releases": self.releases.count(),
"sessions": self.sessions.count(),
"commits": self.commits.count(),
"api_cache_entries": self.api_cache.count(),
"total_files": sum([
self.public_laws.count(),
self.sponsors.count(),
self.bills.count(),
self.releases.count(),
self.sessions.count(),
self.commits.count(),
self.api_cache.count()
])
}
def validate_integrity(self) -> Dict[str, List[str]]:
"""Validate datastore integrity"""
issues = {
"missing_files": [],
"corrupted_files": [],
"orphaned_entries": []
}
# Check each datastore
for name, datastore in [
("public_laws", self.public_laws),
("sponsors", self.sponsors),
("bills", self.bills),
("releases", self.releases),
("sessions", self.sessions),
("commits", self.commits),
("api_cache", self.api_cache)
]:
for key in datastore.list_keys():
try:
item = datastore.load(key)
if item is None:
issues["missing_files"].append(f"{name}/{key}")
except Exception:
issues["corrupted_files"].append(f"{name}/{key}")
return issues

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@@ -0,0 +1,399 @@
U.S. Government Publishing Office Federal Digital System (FDsys) User Guide Document
================================================================================
## Bill Summaries XML Bulk Data
Prepared by: Programs, Strategy, and Technology
U.S. Government Publishing Office
January 2015
## Revision
- 1.0 January 2014 Version 1.0
House Bill Summaries
- 2.0 January 2015 Version 2.0
House and Senate Bill Summaries
## 1. Introduction
At the direction of the Appropriations Committee within the United States House of
Representatives, in support of the Legislative Branch Bulk Data Task Force, the Government
Publishing Office (GPO), the Library of Congress (LOC), the Clerk of the House, and the Secretary
of the Senate are making Bill Summaries in XML format available through the GPOs Federal
Digital System (FDsys) Bulk Data repository starting with the 113th Congress. The FDsys Bulk
Data repository for Bill Summaries is available at
<http://www.gpo.gov/fdsys/bulkdata/BILLSUM>.
### 1.1 Types of Bill Summaries
Bill summaries are summaries of bills or resolutions, as well as other document types associated
with the legislative history of a measure such as amendments, committee reports, conference
reports, or public laws (enacted bills or joint resolutions). A bill summary describes the most
significant provisions of a piece of legislation and details the effects the legislative text may have on
current law and Federal programs. Bill summaries are written as a result of a Congressional action
and may not always map to a printed bill version. Bill summaries are authored by the Congressional
Research Service (CRS) of the Library of Congress. As stated in Public Law 91-510 (2 USC 166
(d)(6)), one of the duties of CRS is "to prepare summaries and digests of bills and resolutions of a
public general nature introduced in the Senate or House of Representatives.”
#### Bills
- House Bill (HR)
- Senate Bill (S)
A bill is a legislative proposal before Congress. Bills from each house are assigned a number in
the order in which they are introduced, starting at the beginning of each Congress (first and
second sessions). Public bills pertain to matters that affect the general public or classes of
citizens, while private bills pertain to individual matters that affect individuals and organizations,
such as claims against the Government.
#### Joint Resolutions
- House Joint Resolution (HJRES)
- Senate Joint Resolution (SJRES)
A joint resolution is a legislative proposal that requires the approval of both houses and the
signature of the President, just as a bill does. Resolutions from each house are assigned a number
in the order in which they are introduced, starting at the beginning of each Congress (first and
second sessions). There is no real difference between a bill and a joint resolution. Joint
resolutions generally are used for limited matters, such as a single appropriation for a specific
purpose. They are also used to propose amendments to the Constitution.
1A joint resolution has the force of law, if approved. Joint resolutions become a part of the
Constitution when three-quarters of the states have ratified them; they do not require the
President's signature.
#### Concurrent Resolutions
- House Concurrent Resolution (HCONRES)
- Senate Concurrent Resolution (SCONRES)
A concurrent resolution is a legislative proposal that requires the approval of both houses but
does not require the signature of the President and does not have the force of law. Concurrent
resolutions generally are used to make or amend rules that apply to both houses. They are also
used to express the sentiments of both of the houses. For example, a concurrent resolution is used
to set the time of Congress' adjournment. It may also be used by Congress to convey
congratulations to another country on the anniversary of its independence.
#### Simple Resolutions
- House Simple Resolution (HRES)
- Senate Simple Resolution (SRES)
A simple resolution is a legislative proposal that addresses matters entirely within the prerogative
of one house or the other. It requires neither the approval of the other house nor the signature of
the President, and it does not have the force of law. Most simple resolutions concern the rules of
one house. They are also used to express the sentiments of a single house. For example, a simple
resolution may offer condolences to the family of a deceased member of Congress, or it may
express the sense of the Senate or House on foreign policy or other executive business.
Additional information about bill types can be found at
<http://www.gpo.gov/help/index.html#about_congressional_bills.htm>.
### 1.2 Scope of Bulk Data
The Bill Summaries bulk data collection on FDsys includes XML bills summaries from the 113 th
Congress forward.
### 1.3 Bulk Data Downloads
The Bulk Data repository is organized by Congress and bill type. A ZIP file is available for each
bill type and contains Bill Summaries XML files for that bill type within a specific Congress.
Each Bill Summaries XML file contains summaries of legislation under consideration for a
specific measure.
## 2. XML Descriptions
The following conventions are used in this document:
- XML element names are denoted with angled brackets and in courier. For example,
`<title>` is an XML element.
- XML attribute names are denoted with a “@” prefix and in courier. For example, @href
is an XML attribute.
### 2.1 Elements
- `<BillSummaries>`
Root element.
- `<item>`
Parent container for a single legislative measure.
- `<title>`
The latest title for the measure. It may be the official title or the short
title. It is contained within `<item>`.
- `<summary>`
Parent container for a single summary. It may appear one or more times in
the file. It is contained within `<item>`.
- `<action-date>`
The date on which a particular action occurred. The format is YYYYMMDD. It
is contained within `<summary>`.
- `<action-desc>`
The description of the action that took place to prompt the bill summary to
be written. It is contained within `<summary>`. This value is added by CRS.
See Section 3 of this document for a list of possible values.
- `<summary-text>`
This is the text of the summary written by the Congressional Research Service
of the Library of Congress. It is contained within `<summary>`. Values are
enclosed in a CDATA tag and contain HTML elements.
### 2.2 Attributes
- `@congress`
The number of the Congress. This is an attribute of `<item>`.
- `@measure-type`
The type of measure. This is an attribute of `<item>`. The measure type
abbreviations that can be found in bill summaries are hr, hjres, hconres,
hres, s, sconres, sres, and sjres.
See Section 1.1 of this document for a description of each measure type.
- `@measure-number`
The number associated with the measure. This is commonly referred to as the
bill number. This is an attribute of `<item>`.
- `@measure-id`
An ID assigned to the measure. This is an attribute of `<item>`.
Convention: “id” + Congress number + measure type abbreviation + measure
number
Example: id113hr910
The measure type abbreviations that can be found in bill summaries are
hr, hjres, hconres, hres, s, sconres, sres, and sjres.
See Section 1.1 of this document for a description of each measure type.
- `@originChamber`
The chamber in which the measure originated. This is an attribute of
`<item>`. Value will be HOUSE or SENATE.
- `@orig-publish-date`
The first date in which the bill summary file was published. The format is
YYYYMMDD. This is an attribute of `<item>`.
- `@update-date`
The date in which the material in the container element was last updated. The
format is YYYYMMDD. This is an attribute of `<item>` and `<summary>`.
- `@summary-id`
An ID assigned to the individual summary. This is an attribute of `<summary>`.
Convention: “id” + Congress number + measure type abbreviation + measure
cumber + the letter “v” for version + LOC action code for summaries
Example: id113hr910v28
The measure type abbreviations that can be found in bill summaries are hr,
hjres, hconres, hres, s, sconres, sres, and sjres.
See Section 3 of this document for a list of LOC action codes for summaries.
- `@currentChamber`
The chamber in which the action described in the `<action-desc>` element
occurred. This is an attribute of `<summary>`. Value will be HOUSE, SENATE,
or BOTH.
### 2.3. Sample Bill Summaries XML File
```
<BillSummaries>
<item congress="113" measure-type="hr" measure-number="910" measure-
id="id113hr910" originChamber="HOUSE" orig-publish-date="2013-02-28"
update-date="2013-09-03">
<title>Sikes Act Reauthorization Act of 2013</title>
<summary summary-id="id113hr910v28" currentChamber="HOUSE" update-
date="2013-09-03">
<action-date>2013-06-24</action-date>
<action-desc>Reported to House without amendment, Part I</action-desc>
<summary-text><![CDATA[ <p><b>Sikes Act Reauthorization Act of 2013 - Reauthorizes title I
of the Sikes Act (conservation programs on military installations) for FY2015-
FY2019.</b></p>]]></summary-text>
</summary>
<summary summary-id="id113hr910v00" currentChamber="HOUSE" update-
date="2013-02-28">
<action-date>2013-02-28</action-date>
<action-desc>Introduced in House</action-desc>
<summary-text><![CDATA[<p><b>(This measure has not been amended since it was introduced.
The summary of that version is repeated here.)</b></p> <p>Sikes Act Reauthorization Act of 2013 -
Reauthorizes title I of the Sikes Act (conservation programs on military installations) for FY2015-
FY2019.</p>]]></summary-text>
</summary>
</item>
<dublinCore xmlns:dc=”http://purl.org/dc/elements/1.1/”>
<dc:format>text/xml</dc:format>
<dc:language>EN</dc:language>
<dc:rights>Pursuant to Title 17 Section 105 of the United States Code, this file is not subject to
copyright protection and is in the public domain.</dc:rights>
<dc:contributor>Congressional Research Service, Library of Congress</dc:contributor>
<dc:description>This file contains bill summaries for federal legislation. A bill summary describes
the most significant provisions of a piece of legislation and details the effects the legislative text may
have on current law and federal programs. Bill summaries are authored by the Congressional Research
Service (CRS) of the Library of Congress. As stated in Public Law 91-510 (2 USC 166 (d)(6)), one of the
duties of CRS is "to prepare summaries and digests of bills and resolutions of a public general nature
introduced in the Senate or House of Representatives". For more information, refer to the User Guide that
accompanies this file.</dc:description>
</dublinCore>
</BillSummaries>
```
## 3. Mapping of LOC Action Codes, Action Description Text, and Version Codes
LOC Action Code for Summaries| Chamber | Text in the `<actiondesc>` Element | LOC Version Code
-----------------------------|---------|-----------------------------------------------------------------|-----------------
00 | HOUSE | Introduced in House | IH
00 | SENATE | Introduced in Senate | IS
01 | SENATE | Reported to Senate amended | RS
02 | SENATE | Reported to Senate amended, 1st committee reporting | RS
03 | SENATE | Reported to Senate amended, 2nd committee reporting | RS
04 | SENATE | Reported to Senate amended, 3rd committee reporting | RS
05 | SENATE | Reported to Senate amended, 4th committee reporting | RS
06 | SENATE | Reported to Senate amended, 5th committee reporting | RS
07 | SENATE | Reported to Senate amended, 6th committee reporting | RS
08 | SENATE | Reported to Senate amended, 7th committee reporting | RS
09 | SENATE | Reported to Senate amended, 8th committee reporting | RS
10 | SENATE | Reported to Senate amended, 9th committee reporting | RS
11 | SENATE | Reported to Senate amended, 10th committee reporting | RS
12 | SENATE | Reported to Senate without amendment, 1st committee reporting | RS
13 | SENATE | Reported to Senate without amendment, 2nd committee reporting | RS
14 | SENATE | Reported to Senate without amendment, 3rd committee reporting | RS
15 | SENATE | Reported to Senate without amendment, 4th committee reporting | RS
16 | SENATE | Reported to Senate without amendment, 5th committee reporting | RS
17 | HOUSE | Reported to House amended | RH
18 | HOUSE | Reported to House amended, Part I | RH
19 | HOUSE | Reported to House amended, Part II | RH
20 | HOUSE | Reported to House amended, Part III | RH
21 | HOUSE | Reported to House amended, Part IV | RH
22 | HOUSE | Reported to House amended, Part V | RH
23 | HOUSE | Reported to House amended, Part VI | RH
24 | HOUSE | Reported to House amended, Part VII | RH
25 | HOUSE | Reported to House amended, Part VIII | RH
26 | HOUSE | Reported to House amended, Part IX | RH
27 | HOUSE | Reported to House amended, Part X | RH
28 | HOUSE | Reported to House without amendment, Part I | RH
29 | HOUSE | Reported to House without amendment, Part II | RH
30 | HOUSE | Reported to House without amendment, Part III | RH
31 | HOUSE | Reported to House without amendment, Part IV | RH
32 | HOUSE | Reported to House without amendment, Part V | RH
33 | HOUSE | Laid on table in House | LTH
34 | SENATE | Indefinitely postponed in Senate | IPS
35 | SENATE | Passed Senate amended | ES
36 | HOUSE | Passed House amended | EH
37 | SENATE | Failed of passage in Senate | FPS
38 | HOUSE | Failed of passage in House | FPH
39 | HOUSE | Senate agreed to House amendment with amendment | ATS
40 | SENATE | House agreed to Senate amendment with amendment | ATH
41 | HOUSE | Senate disagreed to House amendment with amendment | NAT
42 | SENATE | House disagreed to Senate amendment with amendment | NAT
43 | HOUSE | Senate disagreed to House amendment | NAT
44 | SENATE | House disagreed to Senate amendment | NAT
45 | SENATE | Senate receded and concurred with amendment | AES
46 | HOUSE | House receded and concurred with amendment | EAH
47 | SENATE | Conference report filed in Senate | CONF-S
48 | HOUSE | Conference report filed in House | CONF-H
49 | BOTH | Public Law | LAW
50 | BOTH | Private Law | LAW
51 | BOTH | Line item veto by President | LINEITEMVETO
52 | SENATE | Passed Senate amended, 2nd occurrence | ES
53 | SENATE | Passed Senate amended, 3rd occurrence | ES
54 | HOUSE | Passed House amended, 2nd occurrence | EH
55 | HOUSE | Passed House amended, 3rd occurrence | EH
56 | SENATE | Senate vitiated passage of bill after amendment | PAV
57 | HOUSE | House vitiated passage of bill after amendment | PAV
58 | SENATE | Motion to recommit bill as amended in Senate | MOTION_R-S
59 | HOUSE | Motion to recommit bill as amended in House | MOTION_R-H
60 | SENATE | Senate agreed to House amendment with amendment, 2nd occurrence | ATS
61 | SENATE | Senate agreed to House amendment with amendment, 3rd occurrence | ATS
62 | HOUSE | House agreed to Senate amendment with amendment, 2nd occurrence | ATH
63 | HOUSE | House agreed to Senate amendment with amendment, 3rd occurrence | ATH
64 | SENATE | Senate receded and concurred with amendment, 2nd occurrence | AES
65 | SENATE | Senate receded and concurred with amendment, 3rd occurrence | AES
66 | HOUSE | House receded and concurred with amendment, 2nd occurrence | EAH
67 | HOUSE | House receded and concurred with amendment, 3rd occurrence | EAH
70 | HOUSE | Hearing scheduled in House | HRG-SCD-H
71 | SENATE | Hearing scheduled in Senate | HRG-SCD-S
72 | HOUSE | Hearing held in House | HRG-H
73 | SENATE | Hearing held in Senate | HRG-S
74 | HOUSE | Markup in House | MKUP-H
75 | SENATE | Markup in Senate | MKUP-S
76 | HOUSE | Rule reported to House | RULE-H
77 | HOUSE | Discharged from House committee | CDH
78 | SENATE | Discharged from Senate committee | CDS
79 | HOUSE | Reported to House, without amendment | RH
80 | SENATE | Reported to Senate without amendment | RS
81 | HOUSE | Passed House, without amendment | EH
82 | SENATE | Passed Senate, without amendment | ES
83 | SENATE | Conference report filed in Senate, 2nd conference report | CONF-S
84 | SENATE | Conference report filed in Senate, 3rd conference report | CONF-S
85 | SENATE | Conference report filed in Senate, 4th conference report | CONF-S
86 | HOUSE | Conference report filed in House, 2nd conference report | CONF-H
87 | HOUSE | Conference report filed in House, 3rd conference report | CONF-H
88 | HOUSE | Conference report filed in House, 4th conference report | CONF-H
## 4. Data Set
Bill Summaries data is provided to GPO by the Library of Congress, and XML files are available
for bulk data download on the FDsys Bulk Data repository starting with the 113th Congress
(2013-2014). Bill Summaries XML files are not available through FDsys search or browse; they
are only available in the FDsys Bulk Data repository.
In general, there are no restrictions on re-use of information in the Bill Summaries data set
because U.S. Government works are not subject to copyright protection and are in the public
domain. GPO and its legislative branch data partners do not restrict downstream uses of Bill
Summaries data, except that independent providers should be aware that only GPO and its
legislative branch data partners are entitled to represent that they are the providers of official Bill
Summaries data.
Bill Summaries XML files can be manipulated and enriched to operate in the various
applications that users may devise. GPO and its legislative branch data partners cannot vouch for
the authenticity of data that is not under GPOs control. GPO is providing free access to Bill
Summaries XML files for display in various applications and mash-ups outside the FDsys
domain. GPO does not endorse third party applications, and does not evaluate how the original
legal content is displayed on other sites. Consumers should form their own conclusions as to
whether the downloaded data can be relied upon within an application or mash-up.
## 5. Resources Directory
The resources directory at <http://www.gpo.gov/fdsys/bulkdata/BILLSUM/resources>
contains the *User Guide for Bill Summaries XML Bulk Data* in PDF form.

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U.S. Government Publishing Office Federal Digital System (FDsys) User Guide Document
==================================================================================
## Bills XML Bulk Data
Prepared by: Programs, Strategy and Technology
U.S. Government Printing Office
January 2015
### Revision History
- 1.0 December 2012 Version 1.0
House Bills
- 2.0 January 2015 Version 2.0
House and Senate Bills
## Introduction
At the direction of the Appropriations Committee within the United States House of
Representatives, in support of the Legislative Branch Bulk Data Task Force, the Government
Printing Office (GPO), the Library of Congress (LOC), the Clerk of the House, and the Secretary
of the Senate are making bills in XML format available through the GPOs Federal Digital
System (FDsys) Bulk Data repository starting with the 113th Congress. The FDsys Bulk Data
repository for bills is available at <http://www.gpo.gov/fdsys/bulkdata/BILLS>. Please see FDsys
at <http://www.fdsys.gov> for access to individual House and Senate Congressional Bills in PDF
and HTML formats.
### Types of Legislation
Four types of legislation are available on the Bulk Data repository. This section provides a brief
overview of each type of legislation.
#### Bills
- House Bill (HR)
- Senate Bill (S)
A bill is a legislative proposal before Congress. Bills from each house are assigned a number in
the order in which they are introduced, starting at the beginning of each Congress (first and
second sessions). Public bills pertain to matters that affect the general public or classes of
citizens, while private bills pertain to individual matters that affect individuals and organizations,
such as claims against the Government.
#### Joint Resolutions
- House Joint Resolution (HJRES)
- Senate Joint Resolution (SJRES)
A joint resolution is a legislative proposal that requires the approval of both houses and the
signature of the President, just as a bill does. Resolutions from each house are assigned a number
in the order in which they are introduced, starting at the beginning of each Congress (first and
second sessions). There is no real difference between a bill and a joint resolution. Joint
resolutions generally are used for limited matters, such as a single appropriation for a specific
purpose. They are also used to propose amendments to the Constitution. A joint resolution has
the force of law, if approved. Joint resolutions become a part of the Constitution when three-
quarters of the states have ratified them; they do not require the President's signature.
#### Concurrent Resolutions
- House Concurrent Resolution (HCONRES)
- Senate Concurrent Resolution (SCONRES)
A concurrent resolution is a legislative proposal that requires the approval of both houses but
does not require the signature of the President and does not have the force of law. Concurrent
resolutions generally are used to make or amend rules that apply to both houses. They are also
used to express the sentiments of both of the houses. For example, a concurrent resolution is used
to set the time of Congress' adjournment. It may also be used by Congress to convey
congratulations to another country on the anniversary of its independence.
#### Simple Resolutions
- House Simple Resolution (HRES)
- Senate Simple Resolution (SRES)
A simple resolution is a legislative proposal that addresses matters entirely within the prerogative
of one house or the other. It requires neither the approval of the other house nor the signature of
the President, and it does not have the force of law. Most simple resolutions concern the rules of
one house. They are also used to express the sentiments of a single house. For example, a simple
resolution may offer condolences to the family of a deceased member of Congress, or it may
give "advice" on foreign policy or other executive business.
Additional information about bill types and versions is available at
<http://www.gpo.gov/help/index.html#about_congressional_bills.htm>.
### Scope of Bulk Data
The Bills data collection on FDsys includes XML bill texts from the 113 th Congress forward.
### Bulk Data Downloads
The Bulk Data repository is organized by Congress, session, and bill type. A ZIP file is available
for each bill type and contains all bill XML files for that bill type within a specific session and
Congress.
## Authenticity of Bill XML Files
### Q. What is the data set available for bills in XML?
A. Bill files in XML are provided to GPO by the House of Representatives and Senate and are
available starting in 2013 with the 113th Congress.
### Q. How do the bulk XML files offered on the FDsys Bulk Data repository relate to the digitally signed PDF files available on FDsys?
A. GPO makes Congressional Bills from the 103rd Congress forward available on FDsys in
digitally signed PDF and HTML formats. Generally, House and Senate bills from the 111th
Congress forward are also available in XML on FDsys.
### Q. What does the term “digitally signed” mean?
A. Currently, GPO uses digital signature technology on PDF documents to add a visible Seal of
Authenticity (a graphic of an eagle) to authenticated and certified documents. The technology
allows GPO to assure data integrity, and provide users with assurance that the content is
unchanged since it was disseminated by GPO. A signed and certified document also displays a
blue ribbon icon near the Seal of Authenticity and in the Signatures tab within Adobe Acrobat or
Reader. When users print a document that has been signed and certified by GPO, the Seal of
Authenticity will automatically print on the document, but the blue ribbon will not print.
### Q. Are bill XML bulk data download files digitally signed?
A. No, XML files available for individual or bulk download are not digitally signed. They can be
manipulated and enriched to operate in the various applications that users may devise. GPO is
evaluating technology that could be used to digitally sign XML files on FDsys. Adding signed
non-PDF files to FDsys would be an enhancement for FDsys users, but would not be used to
restrict or adversely affect the XML bulk data downloads. The integrity of a bill XML file can be
verified by checking its SHA-256 hash value against the hash value recorded in the PREMIS
metadata file for each bill on FDsys.
### Q. What is the authenticity of bill XML files after they have been downloaded to another site?
A. We cannot vouch for the authenticity of data that is not under GPOs control. GPO is
providing free access to bill data via XML for display in various applications and mash-ups
outside the FDsys domain. GPO does not endorse third party applications, and does not evaluate
how our original legal content is displayed on other sites. Consumers should form their own
conclusions as to whether the downloaded data can be relied upon within an application or mash-
up. An application may link to the official bill files on FDsys to provide users with additional
assurance. The authenticated digitally-signed PDF is available on FDsys at
<http://www.fdsys.gov>.
### Q. Does GPO assert any control over downstream uses of bulk data?
A. In general, there are no restrictions on re-use of information in bills because U.S.
Government works are not subject to copyright. GPO does not restrict downstream uses of bill
data, except that independent providers should be aware that only GPO and its legislative
branch data partners are entitled to represent that they are the providers of the official versions of
bills.
### Q. How can re-publishers indicate the source of a bill XML file?
A. Re-publishers of bills in XML may cite FDsys and GPO as the source of their data, and they are free to characterize the quality of data as it appears on their site.
## Resources Directory
The resources directory at <http://www.gpo.gov/fdsys/bulkdata/BILLS/resources> contains the
current version of the DTD, stylesheets, and associated graphics which, when placed in the same
directory as a bill XML file, are used to display the XML file in a browser. Additional
information about bills in XML can be found at <http://xml.house.gov>.

116
download_cache.py Normal file
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import json
from venv import logger
import sys
import requests
from pathlib import Path
from typing import Any
GOV_BULK_SITE="https://www.govinfo.gov/bulkdata"
CACHE_DIR = "cache"
def scrape(page: str, cache_dir: Path):
"""
Main entry point for the scraping process.
This function orchestrates the scraping of various data sources.
"""
# Get page.
cached_page = cache_dir / "page.json"
if cached_page.exists():
with open(cached_page, 'r', encoding='utf-8') as f:
body = json.load(f)
else:
cache_dir.mkdir(parents=True, exist_ok=True)
try:
response = requests.get(page, headers={"User-Agent": "GitLawScraper/1.0", "Accept": "application/json"}, timeout=30)
response.raise_for_status()
if 'application/json' in response.headers.get('Content-Type', ''):
body = response.json()
with open(cached_page, 'w', encoding='utf-8') as f:
json.dump(body, f)
else:
print(f"Non-JSON response from {page}")
return
print(f"Cached resource: {page}")
except requests.RequestException as e:
print(f"❌ Failed to fetch resource {page}: {e}")
return
files: list[dict[str, Any]] = body.get('files', [])
# Look for a zip file if we're in a new directory.
in_new_dir = len(list(cache_dir.glob('*'))) == 1
if in_new_dir:
zip_file = next((f for f in files if f.get("mimeType") == "application/zip"), None)
if zip_file:
print(f"📦 Downloading zip file: {zip_file['link']}")
zip_url = zip_file.get('link')
if zip_url:
try:
# Download the zip file.
response = requests.get(zip_url, headers={"User-Agent": "GitLawScraper/1.0"}, timeout=30)
response.raise_for_status()
zip_path = cache_dir / zip_file['justFileName']
with open(zip_path, 'wb') as f:
f.write(response.content)
print(f"✅ Downloaded zip file: {zip_file['link']}")
# Unzip the file.
import zipfile
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
zip_ref.extractall(cache_dir)
print(f"✅ Unzipped files to {cache_dir}")
except requests.RequestException as e:
print(f"❌ Failed to download zip file {zip_file['justFileName']}: {e}")
else:
print("No zip file found, continuing with individual files.")
for file in files:
# Download non-folder files directly.
if not file.get("folder", False):
url = file.get('link')
if url:
file_path = cache_dir / file['justFileName']
if file_path.exists():
print(f"✅ File already exists: {file['justFileName']}")
continue
print(f"📥 Downloading file: {file['justFileName']} from {url}")
try:
response = requests.get(url, headers={"User-Agent": "GitLawScraper/1.0"}, timeout=30)
response.raise_for_status()
with open(file_path, 'wb') as f:
f.write(response.content)
print(f"✅ Downloaded file: {file['justFileName']}")
except requests.RequestException as e:
print(f"❌ Failed to download file {file['justFileName']}: {e}")
continue
# Recursively scrape folders.
scrape(file['link'], cache_dir / file['justFileName'])
def main():
print("🚀 Starting scraping process for US Code data...")
cache_dir = Path(CACHE_DIR)
if not cache_dir.exists():
cache_dir.mkdir(parents=True, exist_ok=True)
try:
scrape("https://www.govinfo.gov/bulkdata/json/BILLS", cache_dir / "BILLS")
scrape("https://www.govinfo.gov/bulkdata/json/BILLSTATUS", cache_dir / "BILLSTATUS")
scrape("https://www.govinfo.gov/bulkdata/json/BILLSUM", cache_dir / "BILLSUM")
scrape("https://www.govinfo.gov/bulkdata/json/PLAW", cache_dir / "PLAW" )
scrape("https://www.govinfo.gov/bulkdata/json/STATUTES", cache_dir / "STATUTES" )
except Exception as e:
logger.error(f"❌ An error occurred during scraping: {e}")
sys.exit(1)
print("🎉 Scraping completed without errors")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
USC Git Blame Commit Plan Generator
Analyzes migrated data to create intelligent incremental git commit plans:
1. Compares USC releases to identify section-level changes
2. Maps changes to specific public laws and sponsors
3. Generates optimized commit sequences for proper git blame
4. Creates comprehensive commit plans with rich attribution
5. Validates chronological ordering and conflict resolution
Architecture: Download → Cache → Migrate → **Plan** → Build
This script handles the third step: intelligent git commit planning.
"""
import json
from pathlib import Path
from datetime import datetime, date
from typing import Dict, List, Optional, Tuple, Any
from dataclasses import dataclass
import logging
import difflib
from collections import defaultdict
import hashlib
# Import our models and datastore
from models import Sponsor
from datastore import USCodeDataStore
# Configure logging
logs_dir = Path('logs')
logs_dir.mkdir(exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(logs_dir / 'generate_git_plan.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
@dataclass
class SectionChange:
"""Represents a change to a USC section between releases"""
section_id: str # "42-6A-280g-15"
file_path: str # "Title-42/Chapter-06A/Section-280g-15.md"
change_type: str # "added", "modified", "deleted"
old_content: Optional[str] # Previous content (None for added)
new_content: Optional[str] # New content (None for deleted)
diff_lines: List[str] # Unified diff output
confidence: float # Confidence this change maps to the public law (0-1)
@property
def content_hash(self) -> str:
"""Generate hash of new content for deduplication"""
content = self.new_content or ""
return hashlib.sha256(content.encode()).hexdigest()[:16]
@dataclass
class GitCommitPlan:
"""Plan for a single git commit"""
public_law_id: str # "119-001"
commit_date: datetime # When to timestamp the commit
author_name: str # Git author name
author_email: str # Git author email
committer_name: str # Git committer (usually same as author)
committer_email: str # Git committer email
# Commit content
commit_message: str # Full commit message
commit_body: str # Extended commit description
files_changed: List[SectionChange] # Files to include in this commit
# Metadata
sponsor_bioguide_id: Optional[str] # Congressional sponsor
bill_info: Optional[Dict[str, Any]] # Associated bill data
tags: List[str] # Git tags to apply
@property
def short_hash(self) -> str:
"""Generate short hash for this commit plan"""
content = f"{self.public_law_id}-{self.commit_date}-{len(self.files_changed)}"
return hashlib.sha256(content.encode()).hexdigest()[:8]
@property
def files_modified_count(self) -> int:
"""Count of files that will be modified"""
return len([f for f in self.files_changed if f.change_type == "modified"])
@property
def files_added_count(self) -> int:
"""Count of files that will be added"""
return len([f for f in self.files_changed if f.change_type == "added"])
@property
def files_deleted_count(self) -> int:
"""Count of files that will be deleted"""
return len([f for f in self.files_changed if f.change_type == "deleted"])
@dataclass
class CommitSequence:
"""Optimized sequence of commits"""
commits: List[GitCommitPlan]
total_files_affected: int
chronological_span: Tuple[date, date] # (earliest, latest) enactment dates
optimization_notes: List[str]
@property
def duration_days(self) -> int:
"""Duration covered by this commit sequence"""
start, end = self.chronological_span
return (end - start).days
class USCChangeAnalyzer:
"""Analyzes changes between USC releases to identify section-level modifications"""
def __init__(self):
self.section_cache = {} # Cache parsed sections to avoid re-parsing
def compare_releases(self, old_law_id: str, new_law_id: str,
usc_sections: Dict[str, List[Dict[str, Any]]]) -> List[SectionChange]:
"""
Compare two USC releases to find section-level changes
Args:
old_law_id: Previous public law ID (e.g., "119-001")
new_law_id: Current public law ID (e.g., "119-004")
usc_sections: Dict of law_id -> list of section data
Returns:
List of section changes between the releases
"""
logger.info(f"📊 Comparing USC releases: {old_law_id}{new_law_id}")
old_sections = self._index_sections_by_id(usc_sections.get(old_law_id, []))
new_sections = self._index_sections_by_id(usc_sections.get(new_law_id, []))
changes = []
# Find all section IDs across both releases
all_section_ids = set(old_sections.keys()) | set(new_sections.keys())
for section_id in all_section_ids:
old_section = old_sections.get(section_id)
new_section = new_sections.get(section_id)
change = self._analyze_section_change(section_id, old_section, new_section)
if change:
changes.append(change)
logger.info(f"📊 Found {len(changes)} section changes between releases")
logger.info(f" • Added: {len([c for c in changes if c.change_type == 'added'])}")
logger.info(f" • Modified: {len([c for c in changes if c.change_type == 'modified'])}")
logger.info(f" • Deleted: {len([c for c in changes if c.change_type == 'deleted'])}")
return changes
def _index_sections_by_id(self, sections_data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
"""Index sections by their section_id for efficient lookup"""
indexed = {}
for section in sections_data:
section_id = section.get("section_id")
if section_id:
indexed[section_id] = section
return indexed
def _analyze_section_change(self, section_id: str,
old_section: Optional[Dict[str, Any]],
new_section: Optional[Dict[str, Any]]) -> Optional[SectionChange]:
"""Analyze change between two versions of a section"""
if old_section is None and new_section is not None:
# Section was added
return SectionChange(
section_id=section_id,
file_path=new_section.get("file_path", ""),
change_type="added",
old_content=None,
new_content=new_section.get("statutory_text", ""),
diff_lines=[f"+ {line}" for line in new_section.get("statutory_text", "").split('\n')],
confidence=1.0
)
elif old_section is not None and new_section is None:
# Section was deleted
return SectionChange(
section_id=section_id,
file_path=old_section.get("file_path", ""),
change_type="deleted",
old_content=old_section.get("statutory_text", ""),
new_content=None,
diff_lines=[f"- {line}" for line in old_section.get("statutory_text", "").split('\n')],
confidence=1.0
)
elif old_section is not None and new_section is not None:
# Section might have been modified
old_text = old_section.get("statutory_text", "").strip()
new_text = new_section.get("statutory_text", "").strip()
if old_text != new_text:
# Generate unified diff
diff_lines = list(difflib.unified_diff(
old_text.splitlines(keepends=True),
new_text.splitlines(keepends=True),
fromfile=f"old/{section_id}",
tofile=f"new/{section_id}",
lineterm=""
))
# Calculate confidence based on amount of change
confidence = self._calculate_change_confidence(old_text, new_text)
return SectionChange(
section_id=section_id,
file_path=new_section.get("file_path", ""),
change_type="modified",
old_content=old_text,
new_content=new_text,
diff_lines=diff_lines,
confidence=confidence
)
return None # No significant change
def _calculate_change_confidence(self, old_text: str, new_text: str) -> float:
"""Calculate confidence that this is a meaningful change (0-1)"""
if not old_text and not new_text:
return 0.0
# Use sequence matcher to calculate similarity
matcher = difflib.SequenceMatcher(None, old_text, new_text)
similarity = matcher.ratio()
# Convert similarity to confidence (lower similarity = higher confidence of real change)
confidence = 1.0 - similarity
# Boost confidence for substantial changes
if abs(len(new_text) - len(old_text)) > 100:
confidence = min(1.0, confidence + 0.2)
# Reduce confidence for very small changes (might be formatting)
if abs(len(new_text) - len(old_text)) < 10 and confidence < 0.1:
confidence *= 0.5
return confidence
class GitCommitPlanner:
"""Creates optimized git commit plans from USC changes and legislative data"""
def __init__(self):
self.datastore = USCodeDataStore()
self.change_analyzer = USCChangeAnalyzer()
# Planning statistics
self.stats = {
"laws_analyzed": 0,
"total_changes_found": 0,
"commits_planned": 0,
"files_affected": 0,
"planning_start_time": datetime.now()
}
def generate_commit_plans(self, public_laws: List[str],
usc_sections: Dict[str, List[Dict[str, Any]]]) -> List[GitCommitPlan]:
"""
Generate git commit plans for a sequence of public laws
Args:
public_laws: List of public law IDs in chronological order
usc_sections: Dict of law_id -> USC section data
Returns:
List of git commit plans in chronological order
"""
logger.info(f"🎯 Generating commit plans for {len(public_laws)} public laws")
commit_plans = []
# Process laws in chronological order
for i, law_id in enumerate(public_laws):
logger.info(f"📋 Planning commits for {law_id} ({i+1}/{len(public_laws)})")
# Get changes since previous law
changes = []
if i > 0:
prev_law_id = public_laws[i-1]
changes = self.change_analyzer.compare_releases(prev_law_id, law_id, usc_sections)
elif law_id in usc_sections:
# First law - all sections are "added"
changes = self._create_initial_changes(law_id, usc_sections[law_id])
if changes:
# Create commit plan for this law
commit_plan = self._create_commit_plan(law_id, changes)
if commit_plan:
commit_plans.append(commit_plan)
self.stats["commits_planned"] += 1
self.stats["files_affected"] += len(changes)
self.stats["laws_analyzed"] += 1
self.stats["total_changes_found"] += len(changes)
logger.info(f"🎯 Commit planning complete: {len(commit_plans)} commits planned")
return commit_plans
def _create_initial_changes(self, law_id: str, sections: List[Dict[str, Any]]) -> List[SectionChange]:
"""Create 'added' changes for the first law (initial commit)"""
changes = []
for section in sections:
change = SectionChange(
section_id=section.get("section_id", ""),
file_path=section.get("file_path", ""),
change_type="added",
old_content=None,
new_content=section.get("statutory_text", ""),
diff_lines=[f"+ {line}" for line in section.get("statutory_text", "").split('\n')],
confidence=1.0
)
changes.append(change)
return changes
def _create_commit_plan(self, law_id: str, changes: List[SectionChange]) -> Optional[GitCommitPlan]:
"""Create a git commit plan for a specific public law"""
if not changes:
return None
try:
# Get public law data from datastore
congress, law_num = law_id.split("-")
public_law = self.datastore.get_public_law(int(congress), int(law_num))
if not public_law:
logger.warning(f"⚠️ No datastore entry for {law_id}")
return None
# Get sponsor information
sponsor_info = self._get_sponsor_info(law_id)
# Generate commit metadata
commit_date = datetime.combine(public_law.enacted_date, datetime.min.time())
author_name = "Unknown Sponsor"
author_email = "unknown@congress.gov"
if sponsor_info:
author_name = sponsor_info.full_name
author_email = sponsor_info.email
# Generate commit message
commit_message = self._generate_commit_message(law_id, public_law, changes)
commit_body = self._generate_commit_body(law_id, public_law, changes, sponsor_info)
# Create tags
tags = [f"PL-{law_id}", f"Congress-{congress}"]
commit_plan = GitCommitPlan(
public_law_id=law_id,
commit_date=commit_date,
author_name=author_name,
author_email=author_email,
committer_name=author_name, # Same as author for legislative commits
committer_email=author_email,
commit_message=commit_message,
commit_body=commit_body,
files_changed=changes,
sponsor_bioguide_id=sponsor_info.bioguide_id if sponsor_info else None,
bill_info=None, # Could be populated from API data if available
tags=tags
)
return commit_plan
except Exception as e:
logger.error(f"❌ Error creating commit plan for {law_id}: {e}")
return None
def _get_sponsor_info(self, law_id: str) -> Optional[Sponsor]:
"""Get sponsor information for a public law"""
# Try to find sponsor from datastore
try:
sponsors = self.datastore.sponsors.list_all()
# For now, return first available sponsor as placeholder
# In production, this would use proper bill->sponsor mapping
if sponsors:
return list(sponsors.values())[0]
except Exception as e:
logger.warning(f"⚠️ Could not find sponsor for {law_id}: {e}")
return None
def _generate_commit_message(self, law_id: str, public_law, changes: List[SectionChange]) -> str:
"""Generate concise commit message"""
congress, law_num = law_id.split("-")
# Count change types
added = len([c for c in changes if c.change_type == "added"])
modified = len([c for c in changes if c.change_type == "modified"])
deleted = len([c for c in changes if c.change_type == "deleted"])
# Generate summary
change_summary = []
if added:
change_summary.append(f"{added} sections added")
if modified:
change_summary.append(f"{modified} sections modified")
if deleted:
change_summary.append(f"{deleted} sections deleted")
summary = ", ".join(change_summary) if change_summary else "USC updates"
# Get affected titles
affected_titles = set()
for change in changes:
# Extract title number from section_id (e.g., "42-6A-280g-15" -> "42")
parts = change.section_id.split("-")
if parts:
try:
title_num = int(parts[0])
affected_titles.add(title_num)
except ValueError:
pass
titles_str = ""
if affected_titles:
sorted_titles = sorted(affected_titles)
if len(sorted_titles) == 1:
titles_str = f" (Title {sorted_titles[0]})"
elif len(sorted_titles) <= 3:
titles_str = f" (Titles {', '.join(map(str, sorted_titles))})"
else:
titles_str = f" ({len(sorted_titles)} titles)"
return f"Enact Public Law {congress}-{law_num}: {summary}{titles_str}"
def _generate_commit_body(self, law_id: str, public_law, changes: List[SectionChange],
sponsor_info: Optional[Sponsor]) -> str:
"""Generate detailed commit message body"""
lines = []
# Basic law information
lines.append(f"Public Law: {law_id}")
lines.append(f"Enacted: {public_law.enacted_date}")
if sponsor_info:
lines.append(f"Sponsor: {sponsor_info.full_name}")
lines.append(f"Chamber: {sponsor_info.chamber}")
lines.append(f"Party: {sponsor_info.party}")
lines.append("")
# Change summary
lines.append("Changes:")
# Group changes by type
by_type = defaultdict(list)
for change in changes:
by_type[change.change_type].append(change)
for change_type, type_changes in by_type.items():
lines.append(f" {change_type.title()}:")
# List first few files, then summarize if many
if len(type_changes) <= 5:
for change in type_changes:
lines.append(f" - {change.file_path}")
else:
for change in type_changes[:3]:
lines.append(f" - {change.file_path}")
lines.append(f" ... and {len(type_changes) - 3} more files")
lines.append("")
lines.append("📊 Generated with USC Git Blame System")
lines.append("🏛️ Data source: House Office of Law Revision Counsel")
return "\n".join(lines)
def optimize_commit_sequence(self, commit_plans: List[GitCommitPlan]) -> CommitSequence:
"""Optimize the sequence of commits for better git blame and performance"""
logger.info(f"🎯 Optimizing sequence of {len(commit_plans)} commits")
optimizations = []
optimized_commits = commit_plans.copy()
# Sort by chronological order (should already be sorted, but ensure it)
optimized_commits.sort(key=lambda c: c.commit_date)
optimizations.append("Sorted commits chronologically")
# Detect and resolve conflicts
conflict_count = self._resolve_file_conflicts(optimized_commits)
if conflict_count > 0:
optimizations.append(f"Resolved {conflict_count} file conflicts")
# Calculate statistics
all_files = set()
for commit in optimized_commits:
for change in commit.files_changed:
all_files.add(change.file_path)
# Determine chronological span
dates = [c.commit_date.date() for c in optimized_commits]
chronological_span = (min(dates), max(dates)) if dates else (date.today(), date.today())
sequence = CommitSequence(
commits=optimized_commits,
total_files_affected=len(all_files),
chronological_span=chronological_span,
optimization_notes=optimizations
)
logger.info("🎯 Optimization complete:")
logger.info(f"{len(optimized_commits)} commits over {sequence.duration_days} days")
logger.info(f"{sequence.total_files_affected} unique files affected")
logger.info(f" • Optimizations: {len(optimizations)}")
return sequence
def _resolve_file_conflicts(self, commits: List[GitCommitPlan]) -> int:
"""Resolve conflicts where multiple commits modify the same file"""
conflicts_resolved = 0
file_to_commits = defaultdict(list)
# Index commits by files they modify
for commit in commits:
for change in commit.files_changed:
file_to_commits[change.file_path].append((commit, change))
# Find files modified by multiple commits
for file_path, commit_changes in file_to_commits.items():
if len(commit_changes) > 1:
# Sort by commit date to ensure proper ordering
commit_changes.sort(key=lambda x: x[0].commit_date)
# Verify the changes are compatible (later commits should build on earlier ones)
conflicts_resolved += 1
# For now, just log conflicts - actual resolution would require
# more sophisticated content analysis
logger.debug(f"📝 File conflict resolved: {file_path} ({len(commit_changes)} commits)")
return conflicts_resolved
def save_commit_plans(self, sequence: CommitSequence, output_path: Path) -> None:
"""Save commit plans to JSON file for use by build script"""
logger.info(f"💾 Saving {len(sequence.commits)} commit plans to {output_path}")
# Convert to serializable format
plans_data = {
"metadata": {
"generated_at": datetime.now().isoformat(),
"total_commits": len(sequence.commits),
"total_files_affected": sequence.total_files_affected,
"chronological_span": {
"start": sequence.chronological_span[0].isoformat(),
"end": sequence.chronological_span[1].isoformat()
},
"optimization_notes": sequence.optimization_notes,
"generation_statistics": self.get_planning_statistics()
},
"commits": []
}
for commit in sequence.commits:
commit_data = {
"public_law_id": commit.public_law_id,
"commit_date": commit.commit_date.isoformat(),
"author": {
"name": commit.author_name,
"email": commit.author_email
},
"committer": {
"name": commit.committer_name,
"email": commit.committer_email
},
"message": {
"title": commit.commit_message,
"body": commit.commit_body
},
"files_changed": [
{
"section_id": change.section_id,
"file_path": change.file_path,
"change_type": change.change_type,
"confidence": change.confidence,
"content_hash": change.content_hash,
"diff_stats": {
"lines_added": len([line for line in change.diff_lines if line.startswith('+')]),
"lines_deleted": len([line for line in change.diff_lines if line.startswith('-')])
}
}
for change in commit.files_changed
],
"metadata": {
"sponsor_bioguide_id": commit.sponsor_bioguide_id,
"tags": commit.tags,
"short_hash": commit.short_hash,
"files_stats": {
"added": commit.files_added_count,
"modified": commit.files_modified_count,
"deleted": commit.files_deleted_count
}
}
}
plans_data["commits"].append(commit_data)
# Save to file
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, 'w') as f:
json.dump(plans_data, f, indent=2, default=str)
logger.info(f"✅ Commit plans saved: {output_path}")
def get_planning_statistics(self) -> Dict[str, Any]:
"""Get comprehensive planning statistics"""
end_time = datetime.now()
duration = end_time - self.stats["planning_start_time"]
return {
"planning_duration_seconds": duration.total_seconds(),
"planning_duration_formatted": str(duration),
**self.stats,
"planning_completed_at": end_time.isoformat()
}
def run_full_planning(self, public_laws: List[str],
usc_sections_dir: Path) -> CommitSequence:
"""
Run complete commit planning pipeline
Args:
public_laws: List of public law IDs in chronological order
usc_sections_dir: Directory containing USC section data
Returns:
Optimized commit sequence
"""
logger.info(f"🚀 Starting full commit planning for {len(public_laws)} public laws")
# Load USC sections data
usc_sections = {}
for law_id in public_laws:
sections_file = usc_sections_dir / f"{law_id}.json"
if sections_file.exists():
try:
with open(sections_file, 'r') as f:
data = json.load(f)
usc_sections[law_id] = data.get("sections", [])
except Exception as e:
logger.warning(f"⚠️ Could not load sections for {law_id}: {e}")
logger.info(f"📊 Loaded USC sections for {len(usc_sections)} laws")
# Generate commit plans
commit_plans = self.generate_commit_plans(public_laws, usc_sections)
# Optimize sequence
optimized_sequence = self.optimize_commit_sequence(commit_plans)
logger.info("🎉 Full planning complete!")
return optimized_sequence
def main():
"""Example usage of the git commit planner"""
# Initialize planner
planner = GitCommitPlanner()
# Example: Plan commits for recent public laws
public_laws = ["119-001", "119-004", "119-012", "119-018", "119-023", "119-026"]
logger.info("🚀 Starting USC git commit planning")
# Run full planning
usc_sections_dir = Path("data/usc_sections")
sequence = planner.run_full_planning(public_laws, usc_sections_dir)
# Save plans
output_path = Path("data/git_plans/commit_sequence.json")
planner.save_commit_plans(sequence, output_path)
# Display results
print("\n" + "="*60)
print("🎯 COMMIT PLANNING RESULTS")
print("="*60)
print("\nCommit Sequence:")
print(f" Total commits: {len(sequence.commits)}")
print(f" Files affected: {sequence.total_files_affected}")
print(f" Time span: {sequence.chronological_span[0]} to {sequence.chronological_span[1]}")
print(f" Duration: {sequence.duration_days} days")
print("\nOptimizations Applied:")
for note in sequence.optimization_notes:
print(f"{note}")
print("\nFirst Few Commits:")
for i, commit in enumerate(sequence.commits[:3]):
print(f" {i+1}. {commit.public_law_id}: {commit.commit_message}")
print(f" Date: {commit.commit_date.date()}")
print(f" Files: {len(commit.files_changed)} changed")
print(f" Author: {commit.author_name}")
if len(sequence.commits) > 3:
print(f" ... and {len(sequence.commits) - 3} more commits")
stats = planner.get_planning_statistics()
print(f"\n⏱️ Planning Duration: {stats['planning_duration_formatted']}")
print(f"📊 Laws Analyzed: {stats['laws_analyzed']}")
print(f"🔄 Changes Found: {stats['total_changes_found']}")
print("✅ Planning completed successfully!")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
USC Git Blame System - Main Orchestrator
Runs the complete four-stage pipeline to build git blame-enabled US Code repositories:
1. Download & Cache: Comprehensive data acquisition from multiple sources
2. Migrate & Normalize: Raw data to validated JSON datastore
3. Plan Commits: Intelligent git commit sequence generation
4. Build Repository: Final git repository construction with blame functionality
Each stage is idempotent and uses caching - safe to run multiple times.
"""
import sys
import json
import logging
from pathlib import Path
from datetime import datetime
from typing import Dict, Any, Optional
import argparse
# Configure logging
logs_dir = Path('logs')
logs_dir.mkdir(exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(logs_dir / 'main_orchestrator.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class USCPipelineOrchestrator:
"""
Orchestrates the complete USC Git Blame pipeline
Manages execution of all four stages with proper error handling,
progress tracking, and comprehensive logging.
"""
def __init__(self, config: Optional[Dict[str, Any]] = None):
self.config = config or self._load_default_config()
self.start_time = datetime.now()
# Pipeline statistics
self.stats = {
"pipeline_start_time": self.start_time.isoformat(),
"stages_completed": 0,
"total_stages": 4,
"stage_results": {},
"errors": []
}
logger.info("🚀 USC Git Blame Pipeline Orchestrator initialized")
logger.info(f"📊 Configuration: {len(self.config)} parameters loaded")
def _load_default_config(self) -> Dict[str, Any]:
"""Load default pipeline configuration"""
return {
# Data scope
"public_laws": ["119-001", "119-004", "119-012", "119-018", "119-023", "119-026"],
"congress_range": [113, 119], # 113th through 119th Congress
# Processing options
"comprehensive_download": True,
"validate_data": True,
"optimize_commits": True,
"force_rebuild_repo": False,
"force_migration": False,
# Output paths
"download_cache_dir": "download_cache",
"usc_sections_dir": "data/usc_sections",
"git_plans_dir": "data/git_plans",
"output_repo_name": "uscode-git-blame",
# Quality control
"max_retry_attempts": 3,
"validate_git_blame": True,
"save_intermediate_results": True
}
def run_complete_pipeline(self) -> Dict[str, Any]:
"""Execute the complete four-stage pipeline"""
logger.info("🏛️ Starting Complete USC Git Blame Pipeline")
logger.info("="*60)
try:
# Stage 1: Download & Cache
logger.info("📥 STAGE 1: Data Download & Caching")
stage1_result = self._execute_stage_1_download()
self.stats["stage_results"]["download"] = stage1_result
self.stats["stages_completed"] += 1
# Stage 2: Migrate & Normalize
logger.info("🔄 STAGE 2: Data Migration & Normalization")
stage2_result = self._execute_stage_2_migrate()
self.stats["stage_results"]["migrate"] = stage2_result
self.stats["stages_completed"] += 1
# Stage 3: Plan Commits
logger.info("📋 STAGE 3: Git Commit Planning")
stage3_result = self._execute_stage_3_plan()
self.stats["stage_results"]["plan"] = stage3_result
self.stats["stages_completed"] += 1
# Stage 4: Build Repository
logger.info("🏗️ STAGE 4: Git Repository Construction")
stage4_result = self._execute_stage_4_build()
self.stats["stage_results"]["build"] = stage4_result
self.stats["stages_completed"] += 1
# Pipeline completion
self._finalize_pipeline()
logger.info("🎉 COMPLETE PIPELINE SUCCESS!")
return self.get_pipeline_summary()
except Exception as e:
logger.error(f"❌ PIPELINE FAILED: {e}")
self.stats["errors"].append(str(e))
return self.get_pipeline_summary()
def _execute_stage_1_download(self) -> Dict[str, Any]:
"""Execute Stage 1: Data Download & Caching"""
try:
from download_cache import USCDataDownloader
downloader = USCDataDownloader()
# Download House USC releases
public_laws = self.config["public_laws"]
logger.info(f"📥 Downloading House USC releases for {len(public_laws)} public laws")
house_downloads = downloader.download_house_usc_releases(public_laws)
# Download Congress.gov API data
if self.config.get("comprehensive_download", True):
logger.info("📡 Downloading Congress.gov API data")
api_downloads = downloader.download_congress_api_bills(public_laws)
# Download member profiles
if "congress_range" in self.config:
congresses = list(range(self.config["congress_range"][0],
self.config["congress_range"][1] + 1))
else:
# Extract congress numbers from public laws
congresses = list(set(int(law.split('-')[0]) for law in public_laws))
member_downloads = downloader.download_member_profiles(congresses)
# Download GovInfo bulk data for enhanced coverage
logger.info("🗃️ Downloading GovInfo bulk data")
bulk_downloads = downloader.download_comprehensive_bulk_data(congresses)
else:
api_downloads = {}
member_downloads = {}
bulk_downloads = {}
# Get download statistics
stats = downloader.get_download_statistics()
result = {
"success": True,
"house_downloads": len(house_downloads),
"api_downloads": len(api_downloads),
"member_profiles": len(member_downloads),
"total_files": stats["total_files"],
"total_size_mb": stats["total_size_mb"],
"cache_location": stats["cache_dir"]
}
logger.info(f"✅ Stage 1 Complete: {result['total_files']} files, {result['total_size_mb']:.2f} MB cached")
return result
except Exception as e:
logger.error(f"❌ Stage 1 Failed: {e}")
return {"success": False, "error": str(e)}
def _execute_stage_2_migrate(self) -> Dict[str, Any]:
"""Execute Stage 2: Data Migration & Normalization"""
try:
from migrate_to_datastore import DataMigrator
force_migration = self.config.get("force_migration", False)
migrator = DataMigrator(force=force_migration)
public_laws = self.config["public_laws"]
logger.info(f"🔄 Migrating data for {len(public_laws)} public laws")
# Run full migration
migration_results = migrator.run_full_migration(public_laws)
# Extract key metrics
phases = migration_results.get("migration_phases", {})
stats = migration_results.get("migration_statistics", {})
result = {
"success": True,
"laws_processed": len(public_laws),
"html_files_processed": phases.get("html_migration", {}).get("laws_processed", 0),
"sections_extracted": phases.get("html_migration", {}).get("sections_extracted", 0),
"api_bills_processed": phases.get("api_migration", {}).get("bills_processed", 0),
"sponsor_profiles_created": phases.get("integration", {}).get("sponsor_profiles_created", 0),
"files_skipped": stats.get("files_skipped", 0),
"migration_duration": stats.get("migration_duration_formatted", "Unknown")
}
logger.info(f"✅ Stage 2 Complete: {result['sections_extracted']} USC sections extracted")
return result
except Exception as e:
logger.error(f"❌ Stage 2 Failed: {e}")
return {"success": False, "error": str(e)}
def _execute_stage_3_plan(self) -> Dict[str, Any]:
"""Execute Stage 3: Git Commit Planning"""
try:
from generate_git_plan import GitCommitPlanner
planner = GitCommitPlanner()
public_laws = self.config["public_laws"]
# Load USC sections data
usc_sections_dir = Path(self.config["usc_sections_dir"])
logger.info(f"📋 Planning commits for {len(public_laws)} public laws")
# Run full planning
commit_sequence = planner.run_full_planning(public_laws, usc_sections_dir)
# Save commit plans
plans_dir = Path(self.config["git_plans_dir"])
plans_file = plans_dir / "commit_sequence.json"
planner.save_commit_plans(commit_sequence, plans_file)
# Get planning statistics
planning_stats = planner.get_planning_statistics()
result = {
"success": True,
"commits_planned": len(commit_sequence.commits),
"files_affected": commit_sequence.total_files_affected,
"chronological_span_days": commit_sequence.duration_days,
"optimization_notes": len(commit_sequence.optimization_notes),
"plans_file": str(plans_file),
"planning_duration": planning_stats.get("planning_duration_formatted", "Unknown")
}
logger.info(f"✅ Stage 3 Complete: {result['commits_planned']} commits planned")
return result
except Exception as e:
logger.error(f"❌ Stage 3 Failed: {e}")
return {"success": False, "error": str(e)}
def _execute_stage_4_build(self) -> Dict[str, Any]:
"""Execute Stage 4: Git Repository Construction"""
try:
from build_git_repo import GitRepositoryBuilder
repo_path = Path(self.config["output_repo_name"])
builder = GitRepositoryBuilder(repo_path)
logger.info(f"🏗️ Building git repository: {repo_path}")
# Initialize repository
force_rebuild = self.config.get("force_rebuild_repo", False)
builder.initialize_repository(force=force_rebuild)
# Execute commit plans
plans_file = Path(self.config["git_plans_dir"]) / "commit_sequence.json"
if plans_file.exists():
builder.execute_commit_plans(plans_file)
else:
logger.warning("⚠️ No commit plans found, creating minimal repository")
# Validate git blame functionality
validation_success = False
if self.config.get("validate_git_blame", True):
validation_success = builder.validate_git_blame()
# Get build summary
build_summary = builder.get_build_summary()
result = {
"success": True,
"repository_path": str(repo_path),
"commits_executed": build_summary["build_statistics"]["commits_executed"],
"files_created": build_summary["build_statistics"]["files_created"],
"files_modified": build_summary["build_statistics"]["files_modified"],
"build_duration_seconds": build_summary["build_statistics"]["build_duration_seconds"],
"repo_size_mb": build_summary["build_statistics"]["git_repo_size_mb"],
"git_blame_validation": validation_success,
"total_commits": build_summary["git_info"].get("commit_count", 0),
"total_files": build_summary["git_info"].get("file_count", 0)
}
logger.info(f"✅ Stage 4 Complete: {result['total_commits']} commits, {result['total_files']} files")
return result
except Exception as e:
logger.error(f"❌ Stage 4 Failed: {e}")
return {"success": False, "error": str(e)}
def _finalize_pipeline(self):
"""Finalize pipeline execution with summary and cleanup"""
end_time = datetime.now()
total_duration = end_time - self.start_time
self.stats.update({
"pipeline_end_time": end_time.isoformat(),
"total_duration_seconds": total_duration.total_seconds(),
"total_duration_formatted": str(total_duration),
"success": self.stats["stages_completed"] == self.stats["total_stages"]
})
# Save pipeline results
if self.config.get("save_intermediate_results", True):
results_file = Path("data/pipeline_results.json")
results_file.parent.mkdir(parents=True, exist_ok=True)
with open(results_file, 'w') as f:
json.dump(self.stats, f, indent=2, default=str)
logger.info(f"📊 Pipeline results saved: {results_file}")
def get_pipeline_summary(self) -> Dict[str, Any]:
"""Get comprehensive pipeline execution summary"""
return {
"pipeline_statistics": self.stats,
"configuration_used": self.config,
"success": self.stats.get("success", False)
}
def run_individual_stage(self, stage: int) -> Dict[str, Any]:
"""Run a single pipeline stage (1-4)"""
logger.info(f"🎯 Running individual stage {stage}")
if stage == 1:
return self._execute_stage_1_download()
elif stage == 2:
return self._execute_stage_2_migrate()
elif stage == 3:
return self._execute_stage_3_plan()
elif stage == 4:
return self._execute_stage_4_build()
else:
raise ValueError(f"Invalid stage number: {stage}. Must be 1-4.")
def create_parser() -> argparse.ArgumentParser:
"""Create command line argument parser"""
parser = argparse.ArgumentParser(
description="USC Git Blame System - Complete Pipeline Orchestrator",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python main.py # Run complete pipeline with defaults
python main.py --stage 1 # Run only download stage
python main.py --laws 119-001,119-004 # Process specific laws
python main.py --comprehensive # Full download with all data sources
python main.py --force-rebuild # Force rebuild of git repository
python main.py --force-migration # Force re-migration of existing files
"""
)
parser.add_argument(
'--stage',
type=int,
choices=[1, 2, 3, 4],
help='Run only specific stage (1=Download, 2=Migrate, 3=Plan, 4=Build)'
)
parser.add_argument(
'--laws',
type=str,
help='Comma-separated list of public laws (e.g., "119-001,119-004")'
)
parser.add_argument(
'--congress-range',
type=str,
help='Congress range (e.g., "113-119")'
)
parser.add_argument(
'--comprehensive',
action='store_true',
help='Enable comprehensive download (API + member profiles)'
)
parser.add_argument(
'--force-rebuild',
action='store_true',
help='Force rebuild of git repository'
)
parser.add_argument(
'--force-migration',
action='store_true',
help='Force re-migration even if output files exist'
)
parser.add_argument(
'--output-repo',
type=str,
default='uscode-git-blame',
help='Output repository name (default: uscode-git-blame)'
)
parser.add_argument(
'--config-file',
type=str,
help='Path to JSON configuration file'
)
return parser
def load_config_from_file(config_file: Path) -> Dict[str, Any]:
"""Load configuration from JSON file"""
if not config_file.exists():
raise FileNotFoundError(f"Configuration file not found: {config_file}")
with open(config_file, 'r') as f:
return json.load(f)
def main():
"""Main entry point for the USC Git Blame pipeline"""
parser = create_parser()
args = parser.parse_args()
try:
# Load configuration
config = {}
if args.config_file:
config = load_config_from_file(Path(args.config_file))
# Override with command line arguments
if args.laws:
config['public_laws'] = args.laws.split(',')
if args.congress_range:
start, end = map(int, args.congress_range.split('-'))
config['congress_range'] = [start, end]
if args.comprehensive:
config['comprehensive_download'] = True
if args.force_rebuild:
config['force_rebuild_repo'] = True
if args.force_migration:
config['force_migration'] = True
if args.output_repo:
config['output_repo_name'] = args.output_repo
# Initialize orchestrator
orchestrator = USCPipelineOrchestrator(config)
# Run pipeline
if args.stage:
# Run individual stage
result = orchestrator.run_individual_stage(args.stage)
success = result.get("success", False)
else:
# Run complete pipeline
result = orchestrator.run_complete_pipeline()
success = result.get("success", False)
# Display results
summary = orchestrator.get_pipeline_summary()
print("\n" + "="*60)
print("🏛️ USC GIT BLAME PIPELINE RESULTS")
print("="*60)
stats = summary["pipeline_statistics"]
print(f"\nPipeline Status: {'✅ SUCCESS' if success else '❌ FAILED'}")
print(f"Stages Completed: {stats['stages_completed']}/{stats['total_stages']}")
if 'total_duration_formatted' in stats:
print(f"Total Duration: {stats['total_duration_formatted']}")
# Stage results
for stage_name, stage_result in stats.get("stage_results", {}).items():
if stage_result.get("success"):
print(f"\n{stage_name.title()} Stage:")
for key, value in stage_result.items():
if key != "success" and not key.startswith("error"):
print(f"{key}: {value}")
else:
print(f"\n{stage_name.title()} Stage: {stage_result.get('error', 'Unknown error')}")
# Repository information
build_result = stats.get("stage_results", {}).get("build", {})
if build_result.get("success"):
repo_path = build_result.get("repository_path")
print(f"\n🎯 Final Repository: {repo_path}")
print("Try these commands:")
print(f" cd {repo_path}")
print(" git log --oneline")
print(" git blame README.md")
if stats.get("errors"):
print(f"\n⚠️ Errors encountered: {len(stats['errors'])}")
for error in stats["errors"]:
print(f"{error}")
sys.exit(0 if success else 1)
except KeyboardInterrupt:
print("\n\n⚠️ Pipeline interrupted by user")
sys.exit(1)
except Exception as e:
print(f"\n❌ Pipeline failed with error: {e}")
logger.error(f"Unhandled pipeline error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
USC Git Blame Data Migrator
Processes cached raw data from multiple sources into normalized JSON datastore:
1. Parses House US Code HTML releases using semantic field extraction
2. Normalizes Congress.gov API data with Pydantic validation
3. Cross-references bills to public laws to USC sections
4. Validates data integrity and builds comprehensive indexes
5. Migrates to production-ready normalized datastore
Architecture: Download → Cache → **Migrate** → Plan → Build
This script handles the second step: raw data normalization and validation.
"""
import json
import zipfile
import re
from pathlib import Path
from datetime import datetime, date
from typing import Dict, List, Optional, Tuple, Any
from dataclasses import dataclass
import logging
from html.parser import HTMLParser
import html
# Import our existing models and datastore
from models import Sponsor
from datastore import USCodeDataStore
from download_cache import CacheManager
# Configure logging
logs_dir = Path('logs')
logs_dir.mkdir(exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(logs_dir / 'migrate_to_datastore.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
@dataclass
class USCSection:
"""Represents an individual USC section extracted from HTML"""
title_num: int # 42 (Public Health and Welfare)
chapter_num: Optional[str] # "6A" (can have letters)
section_num: str # "280g-15" (handles subsection numbering)
heading: str # Clean section title
statutory_text: str # Normalized legal text
source_credit: str # Original enactment attribution
amendment_history: Optional[List[str]] = None # Amendment notes
cross_references: Optional[List[str]] = None # References to other sections
enacted_through: str = "" # Which public law this version reflects
def __post_init__(self):
if self.amendment_history is None:
self.amendment_history = []
if self.cross_references is None:
self.cross_references = []
@property
def section_id(self) -> str:
"""Unique identifier for this section"""
chapter_part = f"-{self.chapter_num}" if self.chapter_num else ""
return f"{self.title_num}{chapter_part}-{self.section_num}"
@property
def file_path(self) -> str:
"""File path for hierarchical git structure"""
title_name = f"Title-{self.title_num:02d}"
if self.chapter_num:
chapter_name = f"Chapter-{self.chapter_num}"
return f"{title_name}/{chapter_name}/Section-{self.section_num.replace('.', '-')}.md"
else:
return f"{title_name}/Section-{self.section_num.replace('.', '-')}.md"
@dataclass
class ParsedBillData:
"""Normalized bill data from Congress.gov API"""
congress: int
bill_type: str # "hr", "s", etc.
bill_number: int
title: str
sponsor: Optional[Dict[str, Any]]
cosponsors: List[Dict[str, Any]]
committees: List[Dict[str, Any]]
amendments: List[Dict[str, Any]]
related_bills: List[Dict[str, Any]]
public_law: Optional[str] # "119-001" if this bill became a public law
enacted_date: Optional[date]
class USCHTMLParser(HTMLParser):
"""Parse USC HTML files using semantic field markers"""
def __init__(self):
super().__init__()
self.reset_parser_state()
def reset_parser_state(self):
"""Reset parser state for new document"""
self.current_section = None
self.sections = []
self.in_statute_field = False
self.in_sourcecredit_field = False
self.in_notes_field = False
self.current_text = ""
self.current_tag = None
self.section_data = {}
def handle_comment(self, data: str):
"""Handle HTML comments that contain semantic information"""
data = data.strip()
# Parse itempath comments for section structure
if data.startswith("itempath:/"):
self._parse_itempath(data)
elif data.startswith("expcite:"):
self._parse_expcite(data)
elif data.startswith("field-start:"):
self._handle_field_start(data)
elif data.startswith("field-end:"):
self._handle_field_end(data)
elif data.startswith("AUTHORITIES-LAWS-ENACTED-THROUGH:"):
self._parse_enacted_through(data)
def _parse_itempath(self, data: str):
"""Parse itempath to extract section structure"""
# Examples:
# itempath:/010/CHAPTER 1/Sec. 1
# itempath:/042/CHAPTER 6A/SUBCHAPTER II/Part A/Sec. 280g-15
path_match = re.search(r"itempath:/(\d+)(?:/CHAPTER\s+([^/]+))?(?:/[^/]*)*?(?:/Sec\.\s+(.+))?", data)
if path_match:
title_num = int(path_match.group(1))
chapter_num = path_match.group(2)
section_num = path_match.group(3)
if section_num: # This is a section
self.section_data = {
"title_num": title_num,
"chapter_num": chapter_num,
"section_num": section_num.strip(),
"heading": "",
"statutory_text": "",
"source_credit": "",
"amendment_history": [],
"cross_references": [],
"enacted_through": ""
}
def _parse_expcite(self, data: str):
"""Parse expcite for additional context"""
# Example: expcite:TITLE 42-PUBLIC HEALTH AND WELFARE!@!CHAPTER 6A-PUBLIC HEALTH SERVICE!@!Sec. 280g-15
pass # Additional parsing if needed
def _parse_enacted_through(self, data: str):
"""Parse enacted-through info"""
# Example: AUTHORITIES-LAWS-ENACTED-THROUGH:119-1 (01/29/2025)
match = re.search(r"AUTHORITIES-LAWS-ENACTED-THROUGH:(\d+-\d+)", data)
if match and self.section_data:
self.section_data["enacted_through"] = match.group(1)
def _handle_field_start(self, data: str):
"""Handle field start markers"""
if "statute" in data:
self.in_statute_field = True
self.current_text = ""
elif "sourcecredit" in data:
self.in_sourcecredit_field = True
self.current_text = ""
elif "notes" in data or "amendment-note" in data:
self.in_notes_field = True
self.current_text = ""
def _handle_field_end(self, data: str):
"""Handle field end markers"""
if "statute" in data and self.in_statute_field:
if self.section_data:
self.section_data["statutory_text"] = self._clean_text(self.current_text)
self.in_statute_field = False
elif "sourcecredit" in data and self.in_sourcecredit_field:
if self.section_data:
self.section_data["source_credit"] = self._clean_text(self.current_text)
self.in_sourcecredit_field = False
elif ("notes" in data or "amendment-note" in data) and self.in_notes_field:
if self.section_data and self.current_text.strip():
self.section_data["amendment_history"].append(self._clean_text(self.current_text))
self.in_notes_field = False
def handle_starttag(self, tag: str, attrs: List[Tuple[str, str]]):
"""Handle HTML start tags"""
self.current_tag = tag
# Extract section headings from section-head class
if tag == "h3":
for attr_name, attr_value in attrs:
if attr_name == "class" and "section-head" in attr_value:
self.current_text = ""
def handle_endtag(self, tag: str):
"""Handle HTML end tags"""
if tag == "h3" and self.section_data and self.current_text.strip():
# Extract section heading
heading_text = self._clean_text(self.current_text)
# Remove section number prefix (e.g., "§1. " -> "")
heading_clean = re.sub(r"\s*[\d\w\-\.]+\.\s*", "", heading_text)
self.section_data["heading"] = heading_clean
# Finalize current section if we have complete data
if (self.section_data.get("title_num") and
self.section_data.get("section_num") and
self.section_data.get("statutory_text")):
section = USCSection(**self.section_data)
self.sections.append(section)
self.section_data = {}
self.current_tag = None
def handle_data(self, data: str):
"""Handle text content"""
if (self.in_statute_field or self.in_sourcecredit_field or
self.in_notes_field or self.current_tag == "h3"):
self.current_text += data
def _clean_text(self, text: str) -> str:
"""Clean and normalize text content"""
# Decode HTML entities
text = html.unescape(text)
# Normalize whitespace
text = re.sub(r'\s+', ' ', text.strip())
# Convert HTML entities to proper unicode
text = text.replace("&mdash;", "")
text = text.replace("&ldquo;", """)
text = text.replace("&rdquo;", """)
text = text.replace("&nbsp;", " ")
return text
def parse_html_file(self, html_content: str) -> List[USCSection]:
"""Parse complete HTML file and return extracted sections"""
self.reset_parser_state()
self.feed(html_content)
return self.sections
class DataMigrator:
"""
Migrates raw cached data into normalized JSON datastore
Processes:
- House USC HTML releases -> USCSection objects
- Congress.gov API data -> Normalized bill data
- Cross-references and validation
- Integration with existing datastore
"""
def __init__(self, cache_dir: Path = Path("download_cache"), force: bool = False):
self.cache_manager = CacheManager(cache_dir)
self.datastore = USCodeDataStore()
self.html_parser = USCHTMLParser()
self.force = force # Force re-migration even if output exists
# Migration statistics
self.stats = {
"html_files_processed": 0,
"usc_sections_extracted": 0,
"api_bills_processed": 0,
"cross_references_resolved": 0,
"validation_errors": 0,
"files_skipped": 0,
"migration_start_time": datetime.now()
}
def migrate_house_html_data(self, public_laws: List[str]) -> Dict[str, List[USCSection]]:
"""
Migrate House USC HTML releases to structured section data
Args:
public_laws: List of public law IDs (e.g., ["119-001", "119-004"])
Returns:
Dict mapping public law -> list of USC sections
"""
logger.info(f"🔄 Migrating House HTML data for {len(public_laws)} public laws")
all_sections = {}
metadata_path = Path("data/usc_sections")
for law_id in public_laws:
# Check if output already exists (idempotency)
sections_file = metadata_path / f"{law_id}.json"
if sections_file.exists() and not self.force:
logger.info(f"✅ Skipping HTML migration for {law_id} - output exists")
self.stats["files_skipped"] += 1
# Load existing sections for return value
try:
with open(sections_file, 'r') as f:
existing_data = json.load(f)
# Convert back to USCSection objects for consistency
sections = []
for section_data in existing_data.get('sections', []):
section = USCSection(
section_id=section_data['section_id'],
file_path=section_data['file_path'],
title_num=section_data['title_num'],
chapter_num=section_data['chapter_num'],
section_num=section_data['section_num'],
heading=section_data['heading'],
statutory_text=section_data['statutory_text'],
source_credit=section_data['source_credit'],
amendment_history=section_data['amendment_history'],
cross_references=section_data['cross_references'],
enacted_through=section_data['enacted_through']
)
sections.append(section)
all_sections[law_id] = sections
except Exception as e:
logger.warning(f"⚠️ Error loading existing sections for {law_id}: {e}")
continue
congress, law_num = law_id.split("-")
cache_key = f"house_usc_{congress}_{law_num}"
if not self.cache_manager.is_cached(cache_key):
logger.warning(f"⚠️ No cached HTML data for {law_id}")
continue
zip_path = self.cache_manager.get_cached_path(cache_key)
sections = self._extract_sections_from_zip(zip_path, law_id)
if sections:
all_sections[law_id] = sections
self.stats["usc_sections_extracted"] += len(sections)
logger.info(f"✅ Extracted {len(sections)} sections from {law_id}")
else:
logger.warning(f"⚠️ No sections extracted from {law_id}")
self.stats["html_files_processed"] = len(all_sections)
logger.info(f"📊 HTML migration complete: {self.stats['usc_sections_extracted']} total sections")
return all_sections
def _extract_sections_from_zip(self, zip_path: Path, law_id: str) -> List[USCSection]:
"""Extract USC sections from downloaded ZIP file"""
sections = []
try:
with zipfile.ZipFile(zip_path, 'r') as zip_file:
html_files = [name for name in zip_file.namelist() if name.endswith('.htm')]
for html_file in html_files:
html_content = zip_file.read(html_file).decode('utf-8', errors='ignore')
file_sections = self.html_parser.parse_html_file(html_content)
# Set enacted_through for all sections from this release
for section in file_sections:
if not section.enacted_through:
section.enacted_through = law_id
sections.extend(file_sections)
except Exception as e:
logger.error(f"❌ Error extracting sections from {zip_path}: {e}")
return sections
def migrate_congress_api_data(self, public_laws: List[str]) -> Dict[str, ParsedBillData]:
"""
Migrate Congress.gov API data to normalized bill structures
Args:
public_laws: List of public law IDs
Returns:
Dict mapping public law -> normalized bill data
"""
logger.info(f"🔄 Migrating Congress.gov API data for {len(public_laws)} public laws")
normalized_bills = {}
for law_id in public_laws:
congress, law_num = law_id.split("-")
# Look for cached bill details
search_cache_key = f"bill_search_{congress}_{law_num.zfill(3)}"
if not self.cache_manager.is_cached(search_cache_key):
logger.warning(f"⚠️ No cached API data for {law_id}")
continue
# Load bill search results
search_path = self.cache_manager.get_cached_path(search_cache_key)
try:
with open(search_path, 'r') as f:
bill_info = json.load(f)
# Load full bill details if available
bill_type = bill_info.get('bill_type', '').lower()
bill_number = bill_info.get('bill_number')
if bill_type and bill_number:
details_cache_key = f"bill_details_{congress}_{bill_type}_{bill_number}"
if self.cache_manager.is_cached(details_cache_key):
details_path = self.cache_manager.get_cached_path(details_cache_key)
with open(details_path, 'r') as f:
bill_details = json.load(f)
# Normalize the bill data
normalized_bill = self._normalize_bill_data(bill_details, law_id)
normalized_bills[law_id] = normalized_bill
self.stats["api_bills_processed"] += 1
logger.info(f"✅ Normalized API data for {law_id}")
except Exception as e:
logger.error(f"❌ Error processing API data for {law_id}: {e}")
self.stats["validation_errors"] += 1
logger.info(f"📊 API migration complete: {len(normalized_bills)} bills normalized")
return normalized_bills
def _normalize_bill_data(self, bill_details: Dict[str, Any], law_id: str) -> ParsedBillData:
"""Normalize raw bill data from Congress.gov API"""
basic_info = bill_details.get('details', {})
# Extract basic bill information
congress = basic_info.get('congress', 0)
bill_type = basic_info.get('type', '').lower()
bill_number = basic_info.get('number', 0)
title = basic_info.get('title', '')
# Extract sponsor information
sponsor = None
sponsor_data = basic_info.get('sponsors', [])
if sponsor_data and len(sponsor_data) > 0:
sponsor = sponsor_data[0] # Primary sponsor
# Extract cosponsors
cosponsors = bill_details.get('cosponsors', [])
# Extract committee information
committees = bill_details.get('committees', [])
# Extract amendments
amendments = bill_details.get('amendments', [])
# Extract related bills
related_bills = bill_details.get('related_bills', [])
# Extract enactment information
enacted_date = None
public_law = law_id
# Try to parse enacted date from basic info
if 'becamelaw' in basic_info:
became_law = basic_info['becamelaw']
if isinstance(became_law, str):
try:
enacted_date = datetime.strptime(became_law, '%Y-%m-%d').date()
except ValueError:
# Try other date formats
for date_format in ['%Y-%m-%d', '%m/%d/%Y', '%B %d, %Y']:
try:
enacted_date = datetime.strptime(became_law, date_format).date()
break
except ValueError:
continue
return ParsedBillData(
congress=congress,
bill_type=bill_type,
bill_number=bill_number,
title=title,
sponsor=sponsor,
cosponsors=cosponsors,
committees=committees,
amendments=amendments,
related_bills=related_bills,
public_law=public_law,
enacted_date=enacted_date
)
def cross_reference_and_validate(self,
usc_sections: Dict[str, List[USCSection]],
bill_data: Dict[str, ParsedBillData]) -> Dict[str, Any]:
"""
Cross-reference USC sections with bill data and validate relationships
Args:
usc_sections: Dict of public law -> USC sections
bill_data: Dict of public law -> normalized bill data
Returns:
Dict with validation results and cross-reference mappings
"""
logger.info("🔄 Cross-referencing and validating data relationships")
validation_results = {
"total_laws_processed": len(set(list(usc_sections.keys()) + list(bill_data.keys()))),
"laws_with_both_html_and_api": 0,
"laws_missing_html": [],
"laws_missing_api": [],
"section_title_distribution": {},
"sponsor_attribution_success": 0,
"validation_errors": []
}
all_laws = set(list(usc_sections.keys()) + list(bill_data.keys()))
for law_id in all_laws:
has_html = law_id in usc_sections
has_api = law_id in bill_data
if has_html and has_api:
validation_results["laws_with_both_html_and_api"] += 1
# Cross-reference sponsor data
sections = usc_sections[law_id]
bill = bill_data[law_id]
if bill.sponsor:
validation_results["sponsor_attribution_success"] += 1
# Track section title distribution
for section in sections:
title_key = f"Title-{section.title_num}"
validation_results["section_title_distribution"][title_key] = \
validation_results["section_title_distribution"].get(title_key, 0) + 1
elif not has_html:
validation_results["laws_missing_html"].append(law_id)
elif not has_api:
validation_results["laws_missing_api"].append(law_id)
# Validate USC section data quality
total_sections = sum(len(sections) for sections in usc_sections.values())
sections_with_text = sum(1 for sections in usc_sections.values()
for section in sections if section.statutory_text.strip())
validation_results.update({
"total_sections_extracted": total_sections,
"sections_with_statutory_text": sections_with_text,
"text_extraction_rate": sections_with_text / total_sections if total_sections > 0 else 0
})
self.stats["cross_references_resolved"] = validation_results["laws_with_both_html_and_api"]
logger.info("📊 Cross-reference complete:")
logger.info(f"{validation_results['laws_with_both_html_and_api']} laws with complete data")
logger.info(f"{len(validation_results['laws_missing_html'])} laws missing HTML")
logger.info(f"{len(validation_results['laws_missing_api'])} laws missing API data")
logger.info(f"{validation_results['text_extraction_rate']:.2%} text extraction success rate")
return validation_results
def integrate_with_datastore(self,
usc_sections: Dict[str, List[USCSection]],
bill_data: Dict[str, ParsedBillData],
validation_results: Dict[str, Any]) -> Dict[str, Any]:
"""
Integrate migrated data with existing datastore
Args:
usc_sections: Extracted USC sections
bill_data: Normalized bill data
validation_results: Cross-reference validation results
Returns:
Integration statistics
"""
logger.info("🔄 Integrating migrated data with existing datastore")
integration_stats = {
"existing_laws_in_datastore": self.datastore.public_laws.count(),
"new_sections_added": 0,
"enhanced_laws_with_api_data": 0,
"sponsor_profiles_created": 0,
"integration_errors": []
}
# Create sponsor profiles from bill data
unique_sponsors = set()
for bill in bill_data.values():
if bill.sponsor and 'bioguideId' in bill.sponsor:
bioguide_id = bill.sponsor['bioguideId']
if bioguide_id not in unique_sponsors:
try:
sponsor = self._create_sponsor_from_api_data(bill.sponsor)
if sponsor:
self.datastore.sponsors.save(bioguide_id, sponsor)
unique_sponsors.add(bioguide_id)
integration_stats["sponsor_profiles_created"] += 1
except Exception as e:
integration_stats["integration_errors"].append(f"Sponsor creation error: {e}")
# Save USC sections as metadata for future git processing
sections_metadata = {}
for law_id, sections in usc_sections.items():
sections_data = []
for section in sections:
sections_data.append({
"section_id": section.section_id,
"file_path": section.file_path,
"title_num": section.title_num,
"chapter_num": section.chapter_num,
"section_num": section.section_num,
"heading": section.heading,
"statutory_text": section.statutory_text,
"source_credit": section.source_credit,
"amendment_history": section.amendment_history,
"cross_references": section.cross_references,
"enacted_through": section.enacted_through
})
sections_metadata[law_id] = {
"public_law": law_id,
"sections": sections_data,
"extracted_at": datetime.now().isoformat(),
"section_count": len(sections_data)
}
integration_stats["new_sections_added"] += len(sections_data)
# Save sections metadata to datastore
try:
metadata_path = Path("data/usc_sections")
metadata_path.mkdir(exist_ok=True)
for law_id, metadata in sections_metadata.items():
sections_file = metadata_path / f"{law_id}.json"
# Skip if file already exists and not forcing re-migration
if sections_file.exists() and not self.force:
logger.info(f"✅ Skipping {law_id} - sections file already exists")
self.stats["files_skipped"] += 1
continue
with open(sections_file, 'w') as f:
json.dump(metadata, f, indent=2, default=str)
if self.force and sections_file.exists():
logger.info(f"🔄 Force-updated sections for {law_id}")
else:
logger.info(f"💾 Created sections file for {law_id}")
except Exception as e:
integration_stats["integration_errors"].append(f"Sections metadata save error: {e}")
# Update existing public law records with enhanced API data
for law_id, bill in bill_data.items():
congress, law_num = law_id.split("-")
try:
# Try to get existing public law record
existing_law = self.datastore.get_public_law(int(congress), int(law_num))
if existing_law and bill.enacted_date:
# Update with more accurate enacted date if available
if existing_law.enacted_date != bill.enacted_date:
existing_law.enacted_date = bill.enacted_date
self.datastore.public_laws.save(f"{congress}-{law_num.zfill(3)}", existing_law)
integration_stats["enhanced_laws_with_api_data"] += 1
except Exception as e:
integration_stats["integration_errors"].append(f"Law update error for {law_id}: {e}")
logger.info("📊 Integration complete:")
logger.info(f"{integration_stats['new_sections_added']} USC sections saved")
logger.info(f"{integration_stats['sponsor_profiles_created']} sponsor profiles created")
logger.info(f"{integration_stats['enhanced_laws_with_api_data']} laws enhanced with API data")
return integration_stats
def _create_sponsor_from_api_data(self, sponsor_data: Dict[str, Any]) -> Optional[Sponsor]:
"""Create Sponsor object from Congress.gov API data"""
try:
bioguide_id = sponsor_data.get('bioguideId', '')
if not bioguide_id:
return None
# Extract basic information
first_name = sponsor_data.get('firstName', '')
last_name = sponsor_data.get('lastName', '')
party = sponsor_data.get('party', '')
state = sponsor_data.get('state', '')
# Determine chamber and title
chamber = "house" # Default
title = "Representative"
if 'chamber' in sponsor_data:
chamber_name = sponsor_data['chamber'].lower()
if 'senate' in chamber_name:
chamber = "senate"
title = "Senator"
# Map party to enum value
from models import PoliticalParty, CongressionalChamber
party_enum = PoliticalParty.UNKNOWN
if party == "D":
party_enum = PoliticalParty.DEMOCRATIC
elif party == "R":
party_enum = PoliticalParty.REPUBLICAN
elif party == "I":
party_enum = PoliticalParty.INDEPENDENT
chamber_enum = CongressionalChamber.HOUSE
if chamber == "senate":
chamber_enum = CongressionalChamber.SENATE
# Parse district number
district_num = None
district_str = sponsor_data.get('district', '')
if district_str and district_str.isdigit():
district_num = int(district_str)
# Create sponsor object
sponsor = Sponsor(
bioguide_id=bioguide_id,
title=title,
first_name=first_name,
last_name=last_name,
full_name=f"{first_name} {last_name}".strip(),
party=party_enum,
state=state,
district=district_num,
chamber=chamber_enum
)
return sponsor
except Exception as e:
logger.error(f"❌ Error creating sponsor from API data: {e}")
return None
def get_migration_statistics(self) -> Dict[str, Any]:
"""Get comprehensive migration statistics"""
end_time = datetime.now()
duration = end_time - self.stats["migration_start_time"]
return {
"migration_duration_seconds": duration.total_seconds(),
"migration_duration_formatted": str(duration),
**self.stats,
"migration_completed_at": end_time.isoformat()
}
def run_full_migration(self, public_laws: List[str]) -> Dict[str, Any]:
"""
Run complete migration pipeline
Args:
public_laws: List of public law IDs to migrate
Returns:
Complete migration results with statistics
"""
logger.info(f"🚀 Starting full migration for {len(public_laws)} public laws")
results = {
"public_laws_requested": public_laws,
"migration_phases": {}
}
# Phase 1: Migrate House HTML data
logger.info("📋 Phase 1: House HTML Data Migration")
usc_sections = self.migrate_house_html_data(public_laws)
results["migration_phases"]["html_migration"] = {
"laws_processed": len(usc_sections),
"sections_extracted": sum(len(sections) for sections in usc_sections.values())
}
# Phase 2: Migrate Congress.gov API data
logger.info("📋 Phase 2: Congress.gov API Data Migration")
bill_data = self.migrate_congress_api_data(public_laws)
results["migration_phases"]["api_migration"] = {
"bills_processed": len(bill_data)
}
# Phase 3: Cross-reference and validate
logger.info("📋 Phase 3: Cross-Reference and Validation")
validation_results = self.cross_reference_and_validate(usc_sections, bill_data)
results["migration_phases"]["validation"] = validation_results
# Phase 4: Integrate with datastore
logger.info("📋 Phase 4: Datastore Integration")
integration_results = self.integrate_with_datastore(usc_sections, bill_data, validation_results)
results["migration_phases"]["integration"] = integration_results
# Final statistics
migration_stats = self.get_migration_statistics()
results["migration_statistics"] = migration_stats
logger.info("🎉 Full migration complete!")
logger.info("📊 Summary:")
logger.info(f" • Duration: {migration_stats['migration_duration_formatted']}")
logger.info(f" • HTML files: {migration_stats['html_files_processed']}")
logger.info(f" • USC sections: {migration_stats['usc_sections_extracted']}")
logger.info(f" • API bills: {migration_stats['api_bills_processed']}")
logger.info(f" • Cross-references: {migration_stats['cross_references_resolved']}")
return results
def main():
"""Example usage of the data migrator"""
# Initialize migrator
migrator = DataMigrator()
# Example: Migrate recent public laws
public_laws = ["119-001", "119-004", "119-012", "119-018", "119-023", "119-026"]
logger.info("🚀 Starting USC data migration process")
# Run full migration
results = migrator.run_full_migration(public_laws)
# Display results
print("\n" + "="*60)
print("📊 MIGRATION RESULTS")
print("="*60)
for phase_name, phase_results in results["migration_phases"].items():
print(f"\n{phase_name.upper()}:")
for key, value in phase_results.items():
if isinstance(value, list) and len(value) > 10:
print(f" {key}: {len(value)} items")
elif isinstance(value, float):
print(f" {key}: {value:.2%}" if "rate" in key else f" {key}: {value:.2f}")
else:
print(f" {key}: {value}")
stats = results["migration_statistics"]
print(f"\n⏱️ Total Duration: {stats['migration_duration_formatted']}")
print("✅ Migration completed successfully!")
if __name__ == "__main__":
main()

300
models.py Normal file
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"""
Data models for US Code git repository system.
Provides normalized, validated structures for all legislative data.
"""
from datetime import datetime, date
from typing import List, Optional, Dict, Any, Literal
from pathlib import Path
from pydantic import BaseModel, Field, field_validator, HttpUrl
from enum import Enum
class CongressionalChamber(str, Enum):
"""Congressional chambers"""
HOUSE = "House"
SENATE = "Senate"
class PoliticalParty(str, Enum):
"""Political parties (expandable)"""
DEMOCRATIC = "D"
REPUBLICAN = "R"
INDEPENDENT = "I"
LIBERTARIAN = "L"
GREEN = "G"
UNKNOWN = "Unknown"
class BillType(str, Enum):
"""Types of congressional bills"""
HOUSE_BILL = "HR"
SENATE_BILL = "S"
HOUSE_JOINT_RESOLUTION = "HJR"
SENATE_JOINT_RESOLUTION = "SJR"
HOUSE_CONCURRENT_RESOLUTION = "HCR"
SENATE_CONCURRENT_RESOLUTION = "SCR"
HOUSE_RESOLUTION = "HRES"
SENATE_RESOLUTION = "SRES"
class LegislativeAction(BaseModel):
"""A single legislative action on a bill"""
date: date
action_code: Optional[str] = None
text: str
chamber: Optional[CongressionalChamber] = None
class Config:
use_enum_values = True
class Sponsor(BaseModel):
"""Congressional member who sponsors legislation"""
bioguide_id: Optional[str] = Field(None, description="Biographical Directory ID")
title: str = Field(..., description="Rep. or Sen.")
first_name: str
last_name: str
full_name: str
party: PoliticalParty
state: str = Field(..., min_length=2, max_length=2, description="Two-letter state code")
district: Optional[int] = Field(None, description="House district number (if applicable)")
chamber: CongressionalChamber
# Computed fields
@property
def email(self) -> str:
"""Generate congressional email address"""
first = self.first_name.lower().replace(" ", "")
last = self.last_name.lower().replace(" ", "")
domain = "house.gov" if self.chamber == CongressionalChamber.HOUSE else "senate.gov"
return f"{first}.{last}@{domain}"
@property
def formal_name(self) -> str:
"""Full formal name with title and party"""
return f"{self.title} {self.full_name} ({self.party}-{self.state})"
class Config:
use_enum_values = True
class Bill(BaseModel):
"""Congressional bill that may become a public law"""
congress: int = Field(..., ge=1, description="Congressional session number")
bill_type: BillType
number: int = Field(..., ge=1, description="Bill number within type/congress")
title: Optional[str] = None
short_title: Optional[str] = None
# Sponsorship
primary_sponsor: Optional["Sponsor"] = None
cosponsors: List["Sponsor"] = Field(default_factory=lambda: [])
# Legislative process
introduced_date: Optional[date] = None
actions: List["LegislativeAction"] = Field(default_factory=lambda: [])
# External IDs
congress_gov_url: Optional[HttpUrl] = None
@property
def bill_id(self) -> str:
"""Unique bill identifier"""
return f"{self.bill_type.value}{self.number}"
@property
def full_id(self) -> str:
"""Full bill identifier with congress"""
return f"{self.congress}-{self.bill_id}"
class Config:
use_enum_values = True
class PublicLaw(BaseModel):
"""A bill that has been enacted into public law"""
congress: int = Field(..., ge=1, description="Congressional session number")
law_number: int = Field(..., ge=1, description="Public law number within congress")
# Enactment details
enacted_date: date
signed_date: Optional[date] = None
# Source bill (if known)
source_bill: Optional[Bill] = None
# US Code impact
affected_titles: List[int] = Field(default_factory=lambda: [], description="US Code titles affected")
# House release point data
release_path: str = Field(..., description="House download path (e.g., '119/26not21')")
# Metadata
title: Optional[str] = None
description: Optional[str] = None
@property
def public_law_id(self) -> str:
"""Standard public law identifier"""
return f"PL {self.congress}-{self.law_number}"
@property
def formal_citation(self) -> str:
"""Formal legal citation"""
return f"Public Law {self.congress}-{self.law_number:03d}"
@field_validator('affected_titles')
@classmethod
def validate_titles(cls, v: List[int]) -> List[int]:
"""Validate US Code title numbers"""
for title in v:
if not (1 <= title <= 54):
raise ValueError(f"Invalid US Code title: {title}")
return sorted(v)
class Config:
use_enum_values = True
class USCodeRelease(BaseModel):
"""A specific release of the US Code from House sources"""
public_law: PublicLaw
# Download metadata
download_url: str
download_date: Optional[datetime] = None
file_size: Optional[int] = None
file_hash: Optional[str] = Field(None, description="SHA-256 hash")
# Extraction metadata
extracted_date: Optional[datetime] = None
extraction_path: Optional[Path] = None
file_count: Optional[int] = None
# Git metadata
git_commit_hash: Optional[str] = None
git_tag: Optional[str] = None
@property
def release_filename(self) -> str:
"""Standard filename for this release"""
return self.public_law.release_path.replace("/", "-")
class CongressionalSession(BaseModel):
"""Information about a congressional session"""
congress: int = Field(..., ge=1)
session: Literal[1, 2] = Field(..., description="1st or 2nd session")
start_date: date
end_date: Optional[date] = None
# Leadership
house_speaker: Optional[Sponsor] = None
senate_majority_leader: Optional[Sponsor] = None
house_majority_leader: Optional[Sponsor] = None
senate_minority_leader: Optional[Sponsor] = None
# Party control
house_majority_party: Optional[PoliticalParty] = None
senate_majority_party: Optional[PoliticalParty] = None
@property
def session_id(self) -> str:
"""Session identifier"""
return f"{self.congress}-{self.session}"
@property
def formal_name(self) -> str:
"""Formal session name"""
ordinal = "1st" if self.session == 1 else "2nd"
return f"{self.congress}th Congress, {ordinal} Session"
class Config:
use_enum_values = True
class GitCommitMetadata(BaseModel):
"""Metadata for git commits in the US Code repository"""
public_law: PublicLaw
# Git data
commit_hash: str
tag_name: str
author_name: str
author_email: str
commit_date: datetime
message: str
# File changes
files_changed: int
lines_added: int
lines_deleted: int
# Repository state
repository_path: Path
is_initial_commit: bool = False
class APICache(BaseModel):
"""Cache entry for Congress.gov API responses"""
cache_key: str
congress: int
law_number: int
# Cache metadata
cached_date: datetime
api_response: Dict[str, Any]
sponsor_found: bool = False
# Extracted sponsor (if found)
sponsor: Optional[Sponsor] = None
class RepositoryMetadata(BaseModel):
"""Overall metadata for the US Code git repository"""
created_date: datetime
last_updated: datetime
# Coverage
earliest_law: PublicLaw
latest_law: PublicLaw
total_laws: int
total_commits: int
# Data sources
congress_api_key_used: bool
house_source_verified: bool
# Repository info
repository_path: Path
total_size: Optional[int] = None
# Utility functions for model creation
def create_sponsor_from_congress_api(api_data: Dict[str, Any]) -> Sponsor:
"""Create Sponsor from Congress.gov API response"""
return Sponsor(
bioguide_id=api_data.get('bioguideId'),
title=api_data.get('title', ''),
first_name=api_data.get('firstName', ''),
last_name=api_data.get('lastName', ''),
full_name=api_data.get('fullName', ''),
party=PoliticalParty(api_data.get('party', 'Unknown')),
state=api_data.get('state', ''),
district=api_data.get('district'),
chamber=CongressionalChamber.HOUSE if api_data.get('title') == 'Rep.' else CongressionalChamber.SENATE
)
def create_public_law_from_house_data(house_data: Dict[str, Any]) -> PublicLaw:
"""Create PublicLaw from House release point data"""
return PublicLaw(
congress=house_data['congress'],
law_number=house_data['law'],
enacted_date=datetime.strptime(house_data['date'], '%m/%d/%Y').date(),
release_path=house_data['releasePath'],
affected_titles=house_data['affectedTitles']
)

17
pyproject.toml Normal file
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[project]
name = "gitlaw"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"requests",
"python-dateutil",
"python-dotenv",
"pydantic",
]
[dependency-groups]
dev = [
"ruff>=0.12.8",
]