stock-screener
AGENTS.md417 starsChanged 6 days agoApache-2.0View on GitHub
Stock screening platform implementing CANSLIM (William O'Neil) and Minervini methodologies, with theme discovery, AI chatbot, and market analysis. Full-stack application with FastAPI backend, React frontend, PostgreSQL, Redis caching, and Celery for background tasks. Layered Docker Compose architecture with three scenarios: Docker files: - docker-compose.yml - Base config (local dev) - docker-compose.prod.yml - Production overlay (resource limits, health checks, logging) - docker-compose.https.yml - HTTPS overlay (Caddy with Let's Encrypt) - .env.docker.example - Docker environment template - Caddyfile - Caddy TLS configuration
- Reads credentials
In this repository2 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- contracts/llms.txtllms.txt
The file
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Project Overview
Stock screening platform implementing CANSLIM (William O'Neil) and Minervini methodologies, with theme discovery, AI chatbot, and market analysis. Full-stack application with FastAPI backend, React frontend, PostgreSQL, Redis caching, and Celery for background tasks.
Development Commands
Backend
cd backend
source venv/bin/activate
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000Frontend
cd frontend
npm run dev # Vite dev server on :5173
npm run build # Production build
npm run lint # ESLintCelery Workers (required for scans)
cd backend
./start_celery.sh # Starts all required queues for enabled markets
# Or manually:
export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
export TOKENIZERS_PARALLELISM=false
export PYTORCH_ENABLE_MPS_FALLBACK=1
export CELERY_POOL="${CELERY_POOL:-solo}"
# Same markets as the API and Beat: backend/.env, else US.
export ENABLED_MARKETS="${ENABLED_MARKETS:-$(env -u ENABLED_MARKETS ./venv/bin/python -c 'from app.config import settings; print(settings.enabled_markets)')}"
DATA_FETCH_QUEUES="$(./venv/bin/python - <<'PY'
from app.tasks.market_queues import all_data_fetch_queues
print(",".join(all_data_fetch_queues()))
PY
)"
./venv/bin/celery -A app.celery_app worker --pool="$CELERY_POOL" -Q celery -n general@%h &
./venv/bin/celery -A app.celery_app worker --pool="$CELERY_POOL" --concurrency=1 -Q "$DATA_FETCH_QUEUES" -n datafetch-global@%h &
./venv/bin/celery -A app.celery_app worker --pool="$CELERY_POOL" -Q user_scans_shared -n userscans-shared@%h &
IFS=',' read -ra MARKET_ARRAY <<< "$ENABLED_MARKETS"
for RAW_MARKET in "${MARKET_ARRAY[@]}"; do
MARKET_LOWER="$(echo "$RAW_MARKET" | tr '[:upper:]' '[:lower:]' | xargs)"
./venv/bin/celery -A app.celery_app worker --pool="$CELERY_POOL" -Q "market_jobs_${MARKET_LOWER}" -n "marketjobs-${MARKET_LOWER}@%h" &
./venv/bin/celery -A app.celery_app worker --pool="$CELERY_POOL" -Q "user_scans_${MARKET_LOWER}" -n "userscans-${MARKET_LOWER}@%h" &
done
./venv/bin/celery -A app.celery_app beat --loglevel=info # SchedulerDocker Deployment
Layered Docker Compose architecture with three scenarios:
# Local development
cp .env.docker.example .env # Add API keys for chatbot
docker-compose up
# Homelab (behind reverse proxy like Traefik/nginx proxy manager)
cp .env.docker.example .env.docker
# Edit: CORS_ORIGINS=https://stocks.home.lan
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d
# VPS with auto-HTTPS (Hostinger, DigitalOcean, etc.)
cp .env.docker.example .env.docker
# Edit: DOMAIN=stocks.yourdomain.com, CORS_ORIGINS=https://stocks.yourdomain.com
docker-compose -f docker-compose.yml -f docker-compose.prod.yml -f docker-compose.https.yml up -dDocker files:
docker-compose.yml- Base config (local dev)docker-compose.prod.yml- Production overlay (resource limits, health checks, logging)docker-compose.https.yml- HTTPS overlay (Caddy with Let's Encrypt).env.docker.example- Docker environment templateCaddyfile- Caddy TLS configuration
Note: Backend runs as non-root user (uid 1000). After upgrade: sudo chown -R 1000:1000 ./data
Running Tests
Backend (pytest)
cd backend
source venv/bin/activate
# Run all tests
pytest
# Run unit tests only
pytest tests/unit/
# Run integration tests (requires running server at localhost:8000)
pytest tests/integration/ -m integration
# Run with verbose output
pytest -v
# Run specific test file
pytest tests/unit/test_canslim_scanner.pyFrontend (Vitest + React Testing Library)
cd frontend
# Run all tests once (CI mode)
npm run test:run
# Run tests in watch mode (development)
npm run test
# Run a specific test file
npx vitest run src/components/Scan/ResultsTable.test.jsx
# Lint test files
npm run lintDoes it work?
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