Harvest codebases into portable JSON + chunks for RAG and tooling
Project description
harvest-code
Harvest codebases into portable JSON + chunks for RAG, tooling, and analysis.
Quick Start
pip install harvest-code
harvest reap . -o my-codebase.json
harvest serve my-codebase.json # Web UI at http://localhost:8787
Interactive web interface with search, filtering, syntax highlighting, and progressive loading
Key Features
- 🔍 Zero-dependency codebase harvesting from local directories or GitHub URLs
- 📊 Smart chunking by functions, classes, exports with content-agnostic IDs
- 🌐 Interactive Web UI with search, filtering, syntax highlighting, and deep linking
- 🚀 Progressive loading - handles 50k+ files with infinite scroll pagination
- 📝 Schema v1.2 with stable chunk identifiers for incremental updates
- 🎯 Intelligent defaults - automatically skips binaries, caches, build artifacts, and lockfiles
- ⚡ Fast filtering - by language, visibility, file patterns, and symbols
- 💾 Saved views - bookmark and share specific filtered states
Use Cases
- RAG/AI Systems: Feed structured code context to LLMs with precise chunk boundaries
- Documentation: Auto-generate API references from exported symbols and functions
- Code Analysis: Extract dependencies, exports, and architectural patterns
- Legacy Migration: Understand large codebases through progressive exploration
- Code Search: Find functions, classes, and patterns across entire repositories
Installation
pip install harvest-code
f Requirements: Python 3.9+ (no dependencies)
Core Commands
Harvest Local Directory
# Basic harvesting
harvest reap . -o codebase.json
harvest reap /path/to/project -o output.json
# With size limits
harvest reap . --max-files 1000 --max-bytes 512000
# Include everything (override smart defaults)
harvest reap . --no-default-excludes -o full-harvest.json
Harvest from GitHub
harvest reap https://github.com/user/repo -o repo.json
harvest reap https://github.com/user/repo/tree/main/src -o src-only.json
Query & Filter
# Find all public Python functions
harvest query output.json --entity chunks --language python --public true
# Search specific paths with custom fields
harvest query output.json --path-glob "src/**" --fields path,symbol,kind,start_line
# Find exports and components
harvest query output.json --entity files --export-named "MyComponent"
harvest query output.json --entity chunks --kind export_default --language typescript
Interactive Web Interface
harvest serve output.json --port 8080
# Browse at http://localhost:8080
Web UI Features:
- Search & Filter: Real-time filtering by language, path, symbols
- Syntax Highlighting: Toggle-able code highlighting for 10+ languages
- Progressive Loading: Infinite scroll for large datasets
- Deep Linking: Share URLs to specific files and line ranges
- Saved Views: Bookmark filtered states for quick access
- Mobile Responsive: Works on desktop, tablet, and mobile
Live Updates (zero deps)
Keep your harvest JSON fresh while you edit code with the watcher:
# Terminal 1: Start watching your source directory
harvest watch . -o codebase.json --debounce-ms 800 --poll 1.0
# Terminal 2: Serve the UI/API (unchanged)
harvest serve codebase.json --port 8787
The UI automatically polls /api/meta every few seconds. When metadata.version changes, it shows an "Updated — click to refresh" button. No Flask, no SSE, no extra dependencies.
Watch Flags:
--debounce-ms 800- Coalesce bursts of file events (milliseconds)--poll 1.0- Filesystem snapshot cadence (seconds)--only-ext py,ts,js- Include only specific extensions--skip-ext log,tmp- Exclude specific extensions
The watcher uses portable polling that works on all platforms and performs incremental re-harvesting when files change.
Output Schema
harvest-code produces JSON with three main sections:
{
"metadata": {
"schema": "harvest/v1.2",
"source": {"type": "local", "root": "/path/to/code"},
"counts": {"total_files": 150, "total_bytes": 524288},
"created_at": "2025-08-15T12:00:00Z"
},
"data": [
{
"path": "src/utils.py",
"language": "python",
"size": 1024,
"exports": null,
"py_symbols": {"functions": ["helper"], "classes": ["Util"]},
"content": "def helper():\n pass\n\nclass Util:\n pass"
}
],
"chunks": [
{
"id": "abc123...",
"file_path": "src/utils.py",
"language": "python",
"kind": "function",
"symbol": "helper",
"start_line": 1,
"end_line": 2,
"public": true
}
]
}
Advanced Usage
Custom Exclusions
# Skip additional file types
harvest reap . --skip-ext .log,.tmp --skip-folder cache,temp
# Include only specific languages
harvest reap . --only-ext .py,.js,.ts
Incremental Updates
# Reuse unchanged files for faster re-harvesting
harvest reap . --prev previous-harvest.json -o updated.json
Large Codebases
The web UI automatically handles large datasets with:
- Pagination: Loads 50 items at a time by default
- Infinite Scroll: Seamlessly loads more results
- Cursor-based Navigation: Efficient browsing of 10k+ items
- Smart Filtering: Client-side filtering for responsive UX
Default Exclusions
harvest-code intelligently skips common non-source files:
File Extensions: .log, .tmp, .db, .sqlite, .mp4, .jpg, .png, .zip, .exe, .pyc, .min.js, .woff, .pb, .tflite, etc.
Directories: node_modules, .git, dist, build, __pycache__, .pytest_cache, .mypy_cache, .vscode, .idea, .next, Pods, DerivedData, etc.
Lockfiles: yarn.lock, package-lock.json, poetry.lock, Cargo.lock, go.sum, etc.
Use --no-default-excludes to include everything.
Language Support
Chunking & Symbol Extraction:
- Python: Functions, classes, exports via AST parsing
- JavaScript/TypeScript: Functions, classes, React components, ES6/CommonJS exports
- JSON/YAML/TOML: Single file chunks with metadata
Syntax Highlighting: Python, JavaScript, TypeScript, JSON, YAML, TOML, Markdown, Shell, Go, Rust
API Integration
The web server exposes REST endpoints for programmatic access:
curl http://localhost:8787/api/search?entity=chunks&language=python&limit=10
curl http://localhost:8787/api/meta # Get harvest metadata
Examples
RAG Pipeline Integration
import json
# Load harvest data
with open('codebase.json') as f:
harvest = json.load(f)
# Extract public API functions for LLM context
api_functions = [
chunk for chunk in harvest['chunks']
if chunk['public'] and chunk['kind'] in ['function', 'export_named']
]
Documentation Generation
# Extract all exported React components
harvest query react-app.json --entity chunks --kind export_default --language typescript --fields symbol,file_path > components.txt
Migration Analysis
# Find all Python classes for refactoring
harvest query legacy-app.json --entity chunks --kind class --language python --min-lines 10
Contributing
We welcome contributions! Please see our Contributing Guidelines for details.
Development Setup:
git clone https://github.com/veyorokon/code-harvest.git
cd code-harvest
pip install -e .
harvest reap . -o self-harvest.json # Harvest itself!
License
MIT License - see LICENSE file for details.
Links
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