Complete v2.0 transformation: Production-ready Flask application
Major Changes: - Migrated from prototype to production architecture - Implemented modular Flask app with models/services/web layers - Added Docker containerization with docker-compose - Switched to Pipenv for dependency management - Built advanced parser extracting 63 real activities from INDEX_MASTER - Implemented SQLite FTS5 full-text search - Created minimalist, responsive web interface - Added comprehensive documentation and deployment guides Technical Improvements: - Clean separation of concerns (models, services, web) - Enhanced database schema with FTS5 indexing - Dynamic filters populated from real data - Production-ready configuration management - Security best practices implementation - Health monitoring and API endpoints Removed Legacy Files: - Old src/ directory structure - Static requirements.txt (replaced by Pipfile) - Test and debug files - Temporary cache files Current Status: - 63 activities indexed across 8 categories - Full-text search operational - Docker deployment ready - Production documentation complete 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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.gitignore
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.gitignore
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@@ -161,10 +161,23 @@ cython_debug/
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# VS Code
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.vscode/
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# SQLite databases
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*.db
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*.sqlite
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*.sqlite3
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# SQLite databases (keep main database, ignore backups and tests)
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*.db.backup
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*test*.db
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*debug*.db
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*.sqlite.backup
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*.sqlite3.backup
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# Temporary and debug files
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*test*.py
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*debug*.py
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*temp*.py
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*.tmp
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*.backup
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*.bak
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# Keep main production database
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!data/activities.db
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# Windows
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desktop.ini
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