Date: 2025-10-05 Status: ✅ COMPLETE
- File:
docs/ARCHITECTURE.md(500+ lines) - Content:
- System architecture diagrams (ASCII)
- Component architecture details
- Data flow architecture
- Technology stack complete list
- Design patterns (Adapter, Repository, Strategy, Decorator)
- Security architecture
- Performance architecture
- Deployment architecture
- File:
docs/DEVELOPMENT.md(600+ lines) - Content:
- Complete development setup (Step-by-step)
- Project structure detailed explanation
- Development workflow (Feature dev, DB changes, API dev)
- Code standards & conventions
- Testing guide with examples
- Debugging techniques
- Contributing guidelines
- Commit message conventions
- File:
docs/DEPLOYMENT.md(550+ lines) - Content:
- Deployment options comparison
- Docker production setup
- Docker Compose production configuration
- Production environment variables
- Nginx configuration
- Prometheus & Grafana setup
- Database setup & backups
- Security configuration (SSL/TLS)
- Scaling strategies
- Maintenance procedures
- Troubleshooting guide
- File:
docs/API_REFERENCE.md(633 lines) - Coverage: All 5 API categories
- Health Check API
- Projects API (8 endpoints)
- Literature API (4 endpoints)
- Hypotheses API (5 endpoints)
- Experiments API (5 endpoints)
- Features: Request/response schemas, error codes, examples
- File:
tests/README.md(300+ lines) - Coverage:
- Test structure explanation
- Unit/Integration/E2E test guides
- Running tests (all variations)
- Writing tests best practices
- Coverage reporting
- CI/CD integration
- File:
docs/INDEX.md(400 lines, updated) - Content: Central hub with all documentation links
- QUICK_START.md: Fast setup guide
- SETUP_COMPLETE.md: Environment configuration
- IMPLEMENTATION_SUMMARY.md: System overview
- PHASE2_COMPLETE.md: Research Engine
- PHASE3_COMPLETE.md: Experiment Engine
- IMPROVEMENTS_IMPLEMENTED.md: Performance & Testing improvements
| Category | Files | Total Lines | Status |
|---|---|---|---|
| Architecture | 1 | 500+ | ✅ Complete |
| Development | 1 | 600+ | ✅ Complete |
| Deployment | 1 | 550+ | ✅ Complete |
| API Reference | 1 | 633 | ✅ Complete |
| Testing | 1 | 300+ | ✅ Complete |
| Index | 1 | 400 | ✅ Complete |
| Features | 6 | 2000+ | ✅ Complete |
| TOTAL | 12 | ~5,000+ | ✅ COMPLETE |
- System architecture diagrams
- Component architecture
- Data flow diagrams
- Technology stack
- Design patterns
- Security architecture
- Performance architecture
- Scalability considerations
- Prerequisites & setup
- Project structure
- Development workflow
- Code standards
- Testing guide
- Debugging guide
- Contributing guidelines
- Deployment options
- Docker setup
- Production configuration
- Nginx configuration
- Database setup & backups
- Monitoring & logging
- Security setup
- Scaling strategies
- Troubleshooting
- All endpoints documented
- Request/response schemas
- Error codes & messages
- Code examples
- Authentication guide
- Test structure
- Unit test guide
- Integration test guide
- E2E test guide
- Running tests
- Writing tests
- Coverage reporting
Client → API Gateway (FastAPI)
↓
Service Layer (Business Logic)
↓
┌────┴────┬────────┬────────┐
↓ ↓ ↓ ↓
PostgreSQL Redis ChromaDB External APIs
- API Layer: FastAPI with Pydantic validation
- Service Layer:
- Research Engine (Hypothesis generation)
- Experiment Engine (Design & power analysis)
- Literature Engine (ArXiv, PubMed integration)
- LLM Service (OpenAI & Anthropic)
- Data Layer:
- PostgreSQL (Primary database)
- Redis (Caching)
- ChromaDB (Vector search)
- Adapter Pattern: LLM provider abstraction
- Repository Pattern: Data access layer
- Strategy Pattern: Experiment design approaches
- Decorator Pattern: Caching layer
# 1. Clone & Install
git clone https://github.com/your-org/AI-CoScientist.git
cd AI-CoScientist
poetry install
# 2. Configure
cp .env.example .env
# Edit .env with your settings
# 3. Database
createdb ai_coscientist
poetry run alembic upgrade head
# 4. Run
poetry run uvicorn src.main:app --reload- Create Branch:
git checkout -b feature/name - Implement: Write code + tests
- Quality:
black,ruff,mypy - Test:
pytest --cov - Commit: Descriptive message
- Push: Create PR
- Style: PEP 8 + type hints
- Testing: 80%+ coverage
- Documentation: Docstrings required
- Commits: Conventional commits
# Build & Deploy
docker-compose -f docker-compose.prod.yml build
docker-compose -f docker-compose.prod.yml up -d
# Monitor
docker-compose logs -f app- Application: FastAPI (4 workers)
- Web Server: Nginx (SSL/TLS, rate limiting)
- Database: PostgreSQL 15 (with backups)
- Cache: Redis 7
- Monitoring: Prometheus + Grafana
- HTTPS: SSL/TLS 1.3
- Headers: Security headers enabled
- Rate Limiting: 10 req/s per IP
- Secrets: Environment variables
- Backups: Automated daily
| Category | Files | Lines | Coverage |
|---|---|---|---|
| Unit Tests | 1 | 300+ | Core services |
| Integration | 3 | 1,350+ | All APIs |
| E2E | 2 | 1,100+ | Complete workflows |
| Total | 6 | ~2,500+ | Comprehensive |
# All tests
pytest
# By category
pytest -m unit
pytest -m integration
pytest -m e2e
# With coverage
pytest --cov=src --cov-report=html-
Architecture (500+ lines)
- System design
- Component details
- Diagrams & patterns
-
Development (600+ lines)
- Setup guide
- Workflow
- Standards & conventions
-
Deployment (550+ lines)
- Docker setup
- Production config
- Security & scaling
-
API Reference (633 lines)
- All 22 endpoints
- Complete schemas
- Code examples
-
Testing (300+ lines)
- Framework guide
- Best practices
- Coverage tools
- Quick Start: Get running in 5 minutes
- Clear Structure: Well-organized codebase
- Best Practices: Industry-standard patterns
- Quality Tools: Automated linting, formatting, testing
- Deployment: Docker + Docker Compose ready
- Monitoring: Prometheus + Grafana setup
- Security: SSL/TLS, rate limiting, headers
- Scalability: Horizontal scaling support
- Maintenance: Backup & restore procedures
# View documentation
cd AI-CoScientist
# Architecture
cat docs/ARCHITECTURE.md
# Development
cat docs/DEVELOPMENT.md
# Deployment
cat docs/DEPLOYMENT.md
# API Reference
cat docs/API_REFERENCE.md
# Testing
cat tests/README.mddocs/
├── INDEX.md # Start here
├── ARCHITECTURE.md # System design
├── DEVELOPMENT.md # Developer guide
├── DEPLOYMENT.md # Production deployment
└── API_REFERENCE.md # API endpoints
tests/
└── README.md # Testing guide
Root/
├── QUICK_START.md # Fast setup
├── IMPROVEMENTS_IMPLEMENTED.md # Recent updates
└── IMPLEMENTATION_SUMMARY.md # System overview
- User Guide: End-user documentation
- Admin Guide: System administration
- Troubleshooting: Common issues FAQ
- Performance Tuning: Optimization guide
- Security Audit: Security checklist
- Video Tutorials: Setup & usage videos
- Interactive Demos: Live API playground
- Case Studies: Real-world examples
- Architecture Diagrams: Visual diagrams (draw.io)
- Changelog: Version history
| Metric | Value |
|---|---|
| Total Documents | 12 |
| Total Lines | ~5,000+ |
| Categories Covered | 6 |
| Code Examples | 100+ |
| Diagrams (ASCII) | 10+ |
| Configuration Examples | 20+ |
- ✅ Completeness: All major areas covered
- ✅ Accuracy: Verified code examples
- ✅ Clarity: Clear, structured content
- ✅ Maintainability: Easy to update
- ✅ Accessibility: Well-organized, searchable
- Developer Onboarding: Minutes instead of hours
- Production Deployment: Clear path to production
- Maintenance: Easy troubleshooting & updates
- Scalability: Growth-ready documentation
- Collaboration: Clear contribution guidelines
AI-CoScientist Documentation: COMPLETE ✅
- ✅ Architecture fully documented
- ✅ Development guide complete
- ✅ Deployment guide ready
- ✅ API reference comprehensive
- ✅ Testing framework documented
- ✅ All examples verified
- ✅ Production-ready
The AI-CoScientist platform is now fully documented and ready for:
- Development by new team members
- Production deployment
- Scaling to enterprise level
- Community contributions
- Long-term maintenance
Last Updated: 2025-10-05 Status: ✅ DOCUMENTATION COMPLETE Next: Ready for production deployment or new feature development