repo-flattener 0.2.1

A tool to convert a repository into flattened files for easier LLM upload

Repo Flattener

A Python package to convert a repository into flattened files for easier uploading to Large Language Models (LLMs).

Features

• Flattens repository structure by creating single files with path information
• Creates a manifest file showing the original structure
• Configurable ignore lists for directories and file extensions
• Interactive mode for selective file processing
• Type-safe with full type hints
• Robust error handling with custom exceptions
• Configurable logging with verbose and quiet modes
• Progress bar for visual feedback during processing
• Parallel processing for faster performance on large repositories
• Memory optimization with configurable file size limits
• Intelligent caching for instant manifest generation on unchanged repositories
• Configuration file support (.repo-flattener.yml)
• Simple command-line interface
• Clean Python API for programmatic access

Installation

From PyPI

pip install repo-flattener

From Source

git clone https://github.com/CruiseDevice/repo-flattener.git
cd repo-flattener
pip install -e .

Usage

Command Line

# Basic usage
repo-flattener /path/to/repository

# Specify output directory
repo-flattener /path/to/repository --output flattened_files

# Interactive mode - select files interactively
repo-flattener /path/to/repository --interactive

# Add custom directories to ignore
repo-flattener /path/to/repository --ignore-dirs build,dist

# Add custom file extensions to ignore
repo-flattener /path/to/repository --ignore-exts .log,.tmp

# Verbose output (DEBUG level)
repo-flattener /path/to/repository --verbose

# Quiet mode (errors only)
repo-flattener /path/to/repository --quiet

# Disable progress bar
repo-flattener /path/to/repository --no-progress

# Parallel processing with 4 workers
repo-flattener /path/to/repository --workers 4

# Auto-detect optimal number of workers
repo-flattener /path/to/repository --workers 0

# Set maximum file size (10MB = 10485760 bytes)
repo-flattener /path/to/repository --max-file-size 10485760

Progress Bar

By default, repo-flattener shows a progress bar when processing files:

Processing files: 100%|██████████| 1523/1523 [00:02<00:00, 615.24file/s]

The progress bar is automatically disabled in:

• Quiet mode (--quiet)
• When explicitly disabled (--no-progress)
• Non-interactive environments (e.g., CI/CD pipelines)

# With progress bar (default)
repo-flattener /path/to/repository

# Without progress bar
repo-flattener /path/to/repository --no-progress

Parallel Processing

For large repositories, parallel processing can significantly speed up file processing:

# Use 4 parallel workers
repo-flattener /path/to/repository --workers 4

# Auto-detect optimal number of workers
repo-flattener /path/to/repository --workers 0

# Combine with other options
repo-flattener /path/to/repository --workers 4 --verbose

Performance Tips:

• Use 2-8 workers for best performance on most systems
• --workers 0 auto-detects: min(32, CPU_count + 4)
• More workers = faster for I/O-bound operations (reading/writing files)
• Single worker (default) has lowest memory overhead

Memory Optimization

For repositories with very large files, you can set a maximum file size to prevent loading huge files into memory:

# Skip files larger than 10MB
repo-flattener /path/to/repository --max-file-size 10485760

# Skip files larger than 50MB
repo-flattener /path/to/repository --max-file-size 52428800

# Combine with parallel processing
repo-flattener /path/to/repository --workers 4 --max-file-size 10485760

Usage Tips:

• --max-file-size accepts size in bytes (e.g., 10485760 for 10MB)
• Default is 0 (no limit) - all files will be processed
• Files exceeding the limit are skipped and logged as warnings
• Skipped files still appear in the manifest but are not flattened

Manifest Caching

Repo-flattener automatically caches manifest generation to speed up repeated runs on unchanged repositories. The cache uses file modification times and sizes to detect changes.

# Default behavior - caching enabled
repo-flattener /path/to/repository

# Disable caching
repo-flattener /path/to/repository --no-cache

# Use custom cache directory
repo-flattener /path/to/repository --cache-dir /path/to/custom/cache

How Caching Works:

• On first run, the manifest is generated and cached with a signature based on file paths, modification times, and sizes
• On subsequent runs, if the repository hasn't changed (same files with same modification times), the cached manifest is used instantly
• If any file is modified, added, or removed, the cache is invalidated and the manifest is regenerated
• Cache is stored in .repo_flattener_cache/ by default (ignored by git)
• Each repository/output directory combination has its own cache entry

Performance Benefits:

• Instant manifest generation for unchanged repositories (no file scanning needed)
• Particularly useful when running repo-flattener multiple times during development
• Cache automatically invalidates when files change, ensuring accuracy

Cache Management:

• Cache files are small (typically a few KB)
• No manual cache clearing needed - cache auto-invalidates on changes
• Use --no-cache to bypass cache for debugging or one-time runs
• Add .repo_flattener_cache/ to your .gitignore (recommended)

Interactive Mode

Interactive mode allows you to manually select which files to process. This is useful when you want fine-grained control over which files to include.

repo-flattener /path/to/repository --interactive

In interactive mode, you'll see a list of all files and can use commands to select/deselect them:

• all or a - Select all files
• none or n - Deselect all files
• toggle N or t N - Toggle selection for file #N
• range N-M or r N-M - Toggle selection for files #N through #M
• show or s - Show current selection
• done or d - Finish selection and proceed
• quit or q - Cancel and exit

Example session:

> none          # Deselect all files
> range 1-5     # Select files 1 through 5
> toggle 10     # Also select file 10
> show          # Review selection
> done          # Process selected files

Python API

from repo_flattener import export, process_repository, scan_repository

# Simplest usage with export function
count, skipped, manifest = export('/path/to/repository', 'output')
print(f"Processed {count} files, skipped {skipped}")

# Export with options
count, skipped, manifest = export(
    '/path/to/repository',
    output_dir='flattened_files',
    ignore_dirs=['build', 'dist'],
    ignore_exts=['.log', '.tmp']
)

# Export with interactive mode
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    interactive=True  # Opens interactive file selector
)

# Export without progress bar
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    show_progress=False
)

# Parallel processing with 4 workers
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    max_workers=4
)

# Auto-detect optimal number of workers
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    max_workers=0  # Auto-detect
)

# Skip files larger than 10MB
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    max_file_size=10_000_000  # 10MB in bytes
)

# Combine parallel processing with file size limit
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    max_workers=4,
    max_file_size=10_000_000
)

# Disable caching
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    use_cache=False
)

# Custom cache directory
count, skipped, manifest = export(
    '/path/to/repository',
    'output',
    cache_dir='/path/to/custom/cache'
)

# Using process_repository (lower-level API)
process_repository('/path/to/repository', 'flattened_files', max_workers=4)

# Scan repository to get list of files
files = scan_repository('/path/to/repository')
print(f"Found {len(files)} files")

# Interactive selection (in a script)
files = scan_repository('/path/to/repository')
selected_files = interactive_file_selection(files)
process_repository('/path/to/repository', 'output', file_list=selected_files)

# Process specific files only
process_repository(
    '/path/to/repository',
    'flattened_files',
    file_list=['README.md', 'src/main.py', 'src/utils.py']
)

# Error handling
from repo_flattener import InvalidRepositoryError, OutputDirectoryError

try:
    export('/path/to/repository', 'output')
except InvalidRepositoryError as e:
    print(f"Invalid repository: {e}")
except OutputDirectoryError as e:
    print(f"Cannot create output: {e}")

Output

The tool creates a directory with:

1. Flattened files named according to their original path (with path separators replaced by underscores)
2. A file_manifest.txt showing the original repository structure

Configuration File

You can create a .repo-flattener.yml configuration file in your repository for default settings:

# .repo-flattener.yml
ignore_dirs:
  - build
  - dist
  - coverage
ignore_exts:
  - .log
  - .tmp
  - .cache
output_dir: flattened_output

The CLI will automatically load this file if present. Command-line arguments override configuration file settings.

Development

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=repo_flattener --cov-report=html

# Run in verbose mode
pytest -v

Installing Development Dependencies

pip install -e ".[dev]"

License

MIT License