auto-stock/backend/README.md

Backend

Batch daily analysis (DB cache)

Precompute technical indicators each morning and cache results for fast recommendations.

Run once (today)

cd /Users/commylife/myproject/java/workspace/auto-stock/backend
python3 batch_daily_analysis.py --test   # quick: ~10 stocks
# or full run
python3 batch_daily_analysis.py

Schedule (cron on macOS)

crontab -e
# weekdays 08:30 run (adjust path)
30 8 * * 1-5 cd /Users/commylife/myproject/java/workspace/auto-stock/backend && /usr/bin/python3 batch_daily_analysis.py >> ../logs/batch.log 2>&1

Use DB cache in API

• Endpoint: /api/v1/recommendations/rule-based
• Default: uses DB cache; if cache empty, it automatically falls back to realtime analysis.
• Force realtime:

/api/v1/recommendations/rule-based?realtime=true

Monitoring

• API safety stats: /api/v1/monitoring/api-stats
• Health: /api/v1/monitoring/health

Troubleshooting

• No recommendations: ensure stock_analysis has rows for today (run batch).
• Slow responses: rely on DB cache or reduce realtime stock count via query params.