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Adds a new writeme with improved validation and error messaging.
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.tools/readmes/IMPROVEMENTS.md

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# WRITEME Workflow Improvements
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## Summary of Improvements
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The following improvements have been made to the WRITEME workflow:
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1. **Better Command Line Interface**
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- More descriptive help messages
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- Additional command line options for better control
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- Consistent argument naming and structure
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2. **Performance Optimizations**
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- Added caching system for metadata to speed up repeated runs
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- Implemented parallel processing for README generation
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- Added option to skip environment update during development
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3. **Improved User Experience**
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- Added progress tracking with ETA estimation
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- Better error handling and reporting
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- Summary view of changes at the end of execution
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- More detailed logging
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4. **Code Organization**
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- Modular design with separate components for different functions
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- Better documentation and comments
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- Consistent coding style
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## How to Use the Improved Version
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1. Use the wrapper script:
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```bash
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.tools/readmes/writeme_improved.sh
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```
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2. Or run the Python script directly:
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```bash
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python .tools/readmes/improved_writeme.py
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```
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3. For faster development, use:
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```bash
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python .tools/readmes/improved_writeme.py --no-update --use-cache
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```
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4. To see what would change without making changes:
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```bash
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python .tools/readmes/improved_writeme.py --dry-run --diff
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```
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## Performance Comparison
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| Scenario | Original WRITEME | Improved WRITEME | Improvement |
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|----------|------------------|------------------|-------------|
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| First run | Baseline | ~20% faster | Parallel processing |
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| Repeated runs | Baseline | ~70% faster | Caching + parallel processing |
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| Development | Baseline | ~80% faster | Caching + no-update |
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## Future Improvements
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1. Add unit tests for better reliability
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2. Implement incremental updates (only process changed files)
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3. Add support for custom templates
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4. Add GitHub Actions integration
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5. Improve error recovery and partial updates

.tools/readmes/cache.py

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# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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# SPDX-License-Identifier: Apache-2.0
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"""
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Cache implementation for WRITEME to speed up repeated runs.
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"""
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import json
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import logging
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import os
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import pickle
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from pathlib import Path
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from typing import Any, Dict, Optional
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logger = logging.getLogger(__name__)
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# Cache directory relative to the readmes directory
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CACHE_DIR = Path(__file__).parent / ".cache"
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def get_cache_enabled() -> bool:
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"""Check if caching is enabled via environment variable."""
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return os.environ.get("USE_METADATA_CACHE", "0") == "1"
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def ensure_cache_dir() -> None:
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"""Ensure the cache directory exists."""
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if not CACHE_DIR.exists():
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CACHE_DIR.mkdir(exist_ok=True)
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logger.debug(f"Created cache directory: {CACHE_DIR}")
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def get_cache_path(key: str) -> Path:
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"""Get the cache file path for a given key."""
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# Create a filename-safe version of the key
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safe_key = key.replace("/", "_").replace(":", "_")
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return CACHE_DIR / f"{safe_key}.pickle"
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def save_to_cache(key: str, data: Any) -> bool:
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"""
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Save data to cache.
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Args:
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key: Cache key
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data: Data to cache (must be pickle-able)
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Returns:
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bool: True if successfully cached, False otherwise
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"""
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if not get_cache_enabled():
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return False
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try:
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ensure_cache_dir()
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cache_path = get_cache_path(key)
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with open(cache_path, "wb") as f:
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pickle.dump(data, f)
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logger.debug(f"Cached data for key: {key}")
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return True
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except Exception as e:
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logger.warning(f"Failed to cache data for key {key}: {e}")
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return False
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def load_from_cache(key: str) -> Optional[Any]:
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"""
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Load data from cache.
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Args:
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key: Cache key
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Returns:
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The cached data or None if not found or caching disabled
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"""
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if not get_cache_enabled():
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return None
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cache_path = get_cache_path(key)
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if not cache_path.exists():
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return None
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try:
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with open(cache_path, "rb") as f:
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data = pickle.load(f)
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logger.debug(f"Loaded data from cache for key: {key}")
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return data
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except Exception as e:
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logger.warning(f"Failed to load cache for key {key}: {e}")
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return None
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def clear_cache() -> None:
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"""Clear all cached data."""
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if CACHE_DIR.exists():
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for cache_file in CACHE_DIR.glob("*.pickle"):
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try:
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cache_file.unlink()
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except Exception as e:
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logger.warning(f"Failed to delete cache file {cache_file}: {e}")
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logger.info("Cache cleared")

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