Fabric/scripts/readme_updates

README Update Scripts

This directory contains automation scripts for updating the main README.md file with release information from the changelog database.

update_readme_features.py

A Python script that generates the "Recent Major Features" section for the README by extracting and filtering release information from the changelog SQLite database.

Usage

# Generate the Recent Major Features section with default limit (20 releases)
python scripts/readme_updates/update_readme_features.py

# Specify a custom limit
python scripts/readme_updates/update_readme_features.py --limit 15

# Use a custom database path
python scripts/readme_updates/update_readme_features.py --db /path/to/changelog.db

How It Works

1. Database Connection: Connects to cmd/generate_changelog/changelog.db (or custom path)
2. Data Extraction: Queries the versions table for release information
3. Feature Filtering: Uses heuristics to identify feature/improvement releases
4. Markdown Generation: Formats output to match README style

Feature Detection Heuristics

The script uses keyword-based heuristics to filter releases:

Include Keywords (Features/Improvements)

• new, feature, feat, add, introduce, enable, support
• improve, enhance, performance, speed
• option, flag, argument, parameter
• integration, provider, search, tts, audio, model
• cli, ui, web, oauth, sync, database
• notifications, desktop, reasoning, thinking

Exclude Keywords (Non-Features)

• fix, bug, hotfix
• ci, cd, pipeline, chore
• docs, readme, refactor, style, typo
• test, bump, deps, dependency
• merge, revert, format, lint, build
• release, prepare, coverage, security

Integration with README

To update the README with new release features:

# Generate the features and save to a temporary file
python scripts/readme_updates/update_readme_features.py --limit 20 > /tmp/recent_features.md

# Manually replace the "### Recent Major Features" section in README.md
# with the generated content

Database Schema

The script expects the following SQLite table structure:

CREATE TABLE versions (
    name TEXT PRIMARY KEY,
    date DATETIME,
    commit_sha TEXT,
    pr_numbers TEXT,
    ai_summary TEXT,
    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);

Date Format Support

The script can parse various date formats:

• ISO 8601 with timezone: 2025-08-14 14:11:04+00:00
• ISO 8601 basic: 2025-08-14T14:11:04
• Date only: 2025-08-14
• US format: 08/14/2025

Output format is standardized to: Aug 14, 2025

Maintenance Notes

• AI Summary Format Changes: If the format of AI summaries changes, update the extract_title_desc() and split_summary() functions
• Keyword Tuning: Adjust INCLUDE_RE and EXCLUDE_RE patterns as needed
• Title Extraction: The script attempts to extract concise titles from feature descriptions
• Description Length: Descriptions are limited to 200 characters for readability

Future Enhancements

Potential improvements for automated README updates:

• Add section delimiter markers in README for automated replacement
• Create a GitHub Action to run on new releases
• Add support for categorizing features by type
• Implement confidence scoring for feature detection