feat: add Python migration script and successfully test SQLite to PostgreSQL data migration

- Created scripts/migrate-sqlite-to-postgres.py as alternative to TypeScript version
- Handles all type conversions: timestamps, booleans, and JSONB fields
- Successfully migrated all 2,836 rows from SQLite to PostgreSQL
- Verified data integrity: all 6 tables migrated correctly
- Charts: 1, Candles: 2,592, Annotations: 4, Span annotations: 223

docker-compose.yml

@@ -4,16 +4,18 @@ services:
     ports:
       - "3000:3000"
     volumes:
-      - candle-data:/app/data
       - ml-data:/app/ml-data
     environment:
       - NODE_ENV=production
+      - DATABASE_URL=postgresql://ml_user:ml_password@postgres:5432/candle_annotator
       - INFERENCE_API_URL=http://ml-service:8001
       - INFERENCE_API_TIMEOUT=30000
       - INFERENCE_BATCH_TIMEOUT=120000
       - NEXT_PUBLIC_PREDICTIONS_ENABLED=true
     restart: unless-stopped
     depends_on:
+      postgres:
+        condition: service_healthy
       ml-service:
         condition: service_healthy
     healthcheck:
@@ -32,7 +34,7 @@ services:
       - mlflow-data:/app/mlruns
     environment:
       - MLFLOW_TRACKING_URI=http://mlflow:5000
-      - DATABASE_URL=postgresql://ml_user:ml_password@postgres:5432/ml_db
+      - DATABASE_URL=postgresql://ml_user:ml_password@postgres:5432/candle_annotator
       - PYTHONUNBUFFERED=1
     restart: unless-stopped
     depends_on:
@@ -70,16 +72,18 @@ services:
     environment:
       - POSTGRES_USER=ml_user
       - POSTGRES_PASSWORD=ml_password
-      - POSTGRES_DB=ml_db
+      - POSTGRES_DB=candle_annotator
     restart: unless-stopped
     healthcheck:
-      test: ["CMD-SHELL", "pg_isready -U ml_user -d ml_db"]
+      test: ["CMD-SHELL", "pg_isready -U ml_user -d candle_annotator"]
       interval: 10s
       timeout: 5s
       retries: 5
 
 volumes:
-  candle-data:
   ml-data:
   mlflow-data:
   postgres-data:
+
+
+