Phase 1: Communications Module - Complete
Backend infrastructure: - PostgreSQL models (users, channels, messages, DMs, files, artifacts) - JWT authentication with password hashing - Auth API (register, login, logout, get user) - Channels API (create, list, join, leave) - Messages API with @grimlock mention detection - AI responds automatically when @mentioned - Background task processing for AI responses Database: - SQLAlchemy ORM models - Alembic ready for migrations - PostgreSQL + Redis in docker-compose Features working: - User registration and login - Create/join public channels - Send messages in channels - @grimlock triggers AI response with channel context - Real-time ready (WebSocket next) Next: WebSocket for real-time updates, frontend interface
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@@ -11,3 +11,21 @@ PyYAML==6.0.1
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markdown==3.5.2
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weasyprint==60.2
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pandas==2.2.0
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# Database
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sqlalchemy==2.0.25
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alembic==1.13.1
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psycopg2-binary==2.9.9
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# Real-time & Caching
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redis==5.0.1
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python-socketio==5.10.0
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websockets==12.0
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# Storage
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minio==7.2.3
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# Security
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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bcrypt==4.1.2
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