amitis55/grimlock
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
2d7062f11eb535da9126d9fce026cd00c2fe7ab3
grimlock/STATUS.md
JA bf1baaebae Add API test script and update STATUS 
- test_api.py: Automated API testing
- STATUS.md: Phase 1 complete summary
- Full communications module working
- @grimlock AI mentions functional
- Ready for WebSocket + frontend

Run: python test_api.py to verify all APIs
2026-02-12 21:28:11 +00:00

7.2 KiB
Raw Blame History

Grimlock Phase 1 - Complete ✅

Repository: https://gittea.979labs.com/amitis55/grimlock
Status: Communications Module Working
Date: February 12, 2026

Phase 1 Complete: Full Platform Foundation

✅ What's Built

Core Backend:

  • PostgreSQL database with full schema
  • JWT authentication (register, login, logout)
  • User management with roles (engineer/BD/admin/exec)
  • SQLAlchemy ORM models
  • FastAPI REST API

Communications Module:

  • Channels - Create public/private channels
  • Messages - Send/receive in channels
  • @grimlock mentions - AI responds automatically
  • Thread support - Reply to specific messages
  • Member management - Join/leave channels

AI Integration:

  • @grimlock detection in messages
  • Context-aware responses (sees channel history)
  • Role-based responses
  • Background task processing
  • Company context loaded from files

Infrastructure:

  • Docker Compose with PostgreSQL + Redis
  • Database migrations ready (Alembic)
  • Health check endpoints
  • CORS configured

How to Test Right Now

Option 1: Docker (Recommended)

cd grimlock

# Set up environment
cp backend/.env.example backend/.env
# Edit backend/.env:
#   - Add ANTHROPIC_API_KEY
#   - Set SECRET_KEY (or use default for testing)

# Start everything
docker-compose up -d

# Watch logs
docker-compose logs -f grimlock-backend

# Run API test
python test_api.py

Option 2: Local Development

cd grimlock

# Install dependencies
pip install --break-system-packages -r backend/requirements.txt

# Set up PostgreSQL
# (Install PostgreSQL 15, create database 'grimlock', user 'grimlock')

# Set environment
cp backend/.env.example backend/.env
# Edit and add your ANTHROPIC_API_KEY

# Run backend
cd backend
uvicorn main:app --reload

# In another terminal, test
cd grimlock
python test_api.py

API Endpoints Working

Authentication

  • POST /api/auth/register - Register new user
  • POST /api/auth/login - Login, get JWT token
  • GET /api/auth/me - Get current user info
  • POST /api/auth/logout - Logout

Channels

  • POST /api/channels/ - Create channel
  • GET /api/channels/ - List user's channels
  • GET /api/channels/{id} - Get channel details
  • POST /api/channels/{id}/join - Join channel
  • POST /api/channels/{id}/leave - Leave channel

Messages

  • POST /api/channels/{id}/messages - Send message
  • GET /api/channels/{id}/messages - Get messages (with pagination)

Health

  • GET / - Basic health check
  • GET /api/health - Detailed health check

The @grimlock Feature (WORKING!)

How it works:

  1. User sends message: @grimlock What is UTILEN?
  2. Backend detects @grimlock mention
  3. Extracts query: "What is UTILEN?"
  4. Loads channel history for context
  5. Gets company context from files
  6. Calls Claude API
  7. Posts AI response as reply in channel

Example:

User: @grimlock What is the UTILEN architecture?

Grimlock: UTILEN uses a multi-tenant SaaS architecture:
- FastAPI backend for async API handling
- PostgreSQL for relational data with tenant isolation
- Redis + Celery for background job processing
- MinIO for object storage
- Claude Vision API for document processing
...

Database Schema

users
  - id, email, name, password_hash, role
  - is_active, is_online, last_seen
  - created_at, updated_at

channels
  - id, name, description, type (public/private)
  - created_by, created_at

channel_members (many-to-many)
  - channel_id, user_id, joined_at

messages
  - id, channel_id, user_id
  - content, is_ai_message
  - reply_to_message_id, created_at, edited_at

direct_messages
  - id, sender_id, recipient_id
  - content, is_ai_message
  - read_at, created_at, edited_at

files
  - id, filename, file_path, file_size
  - mime_type, uploaded_by, channel_id

artifacts (AI-generated files)
  - id, message_id, filename
  - file_path, file_type, created_at

What's Next

Immediate (Same Session if Tokens Allow)

  • WebSocket server for real-time message updates
  • Direct messages API
  • File upload/download endpoints

Phase 2 (Next Session)

  • Frontend: Next.js chat interface
  • Frontend: Channel list and switcher
  • Frontend: Message display with real-time
  • Frontend: User authentication UI

Phase 3 (Week 2)

  • File storage (MinIO integration)
  • AI artifact generation (PDFs, spreadsheets)
  • Search functionality
  • User profiles and settings

Token Usage

Current: ~126k / 190k (66% used)
Remaining: ~64k tokens

Enough for: WebSocket + DMs OR Frontend starter
Recommendation: Commit here, start fresh session for frontend

Testing Results

Run python test_api.py to verify:

  • ✅ Health check
  • ✅ User registration
  • ✅ User login (JWT)
  • ✅ Channel creation
  • ✅ Message sending
  • ✅ @grimlock mentions
  • ✅ AI responses

Cost Analysis (Current)

Development costs so far: ~$2-3 in API calls (testing)

Production estimate:

  • 100 users × 20 queries/day = 2000 queries/day
  • @ $0.003/query avg = $6/day = $180/month AI costs
  • Supports $5000-15000/month revenue (100 users @ $50-150/user)
  • 97%+ gross margin on AI costs

Architecture Decisions Log

February 12, 2026 (Phase 1):

Decision: PostgreSQL for primary database
Rationale: Relational data (users, channels, messages), ACID compliance, proven at scale

Decision: Background tasks for @grimlock responses
Rationale: Don't block API response while AI thinks (can take 3-10 seconds)

Decision: SQLAlchemy ORM
Rationale: Type-safe, migrations support, team familiar

Decision: JWT for auth (not sessions)
Rationale: Stateless, scales horizontally, mobile-friendly

Decision: Public channels default, private requires invite
Rationale: Encourage collaboration, private for sensitive topics

Next Session Prep

To continue building:

  1. WebSocket server (20k tokens)

    • Socket.IO or native WebSockets
    • Real-time message delivery
    • Online status updates
    • Typing indicators

  2. Direct Messages (15k tokens)

    • 1-on-1 chat API
    • @grimlock in DMs
    • Read receipts

  3. Frontend (40k+ tokens)

    • Next.js setup
    • Authentication pages
    • Channel list UI
    • Message interface
    • Real-time updates

OR start new feature module:

  • Files module (upload/download)
  • Email integration
  • Task management
  • Calendar

Known Issues / TODO

  • No WebSocket yet (need for real-time)
  • No file upload implemented
  • No AI artifact generation yet
  • No search
  • No read receipts
  • No typing indicators
  • No user presence (who's online in channel)
  • No message editing
  • No message reactions
  • No threads UI (data model ready)

Success Criteria Update

Phase 1 MVP:

  • ✅ Authentication working
  • ✅ Channels working
  • ✅ Messages working
  • ✅ @grimlock working
  • ⏳ WebSocket (next)
  • ⏳ Frontend (next)

Ready for internal testing when:

  • ✅ Backend API complete
  • ⏳ WebSocket real-time
  • ⏳ Web interface functional
  • ⏳ Can replace some Slack usage

Repository: https://gittea.979labs.com/amitis55/grimlock
Built in: 2 sessions, ~140k tokens total
Status: Backend phase 1 complete, ready for real-time + frontend

🚀 Grimlock is becoming real.

Reference in New Issue View Git Blame Copy Permalink