Files
MusicAnalyser/backend/app/database.py
google-labs-jules[bot] a97997a17a feat: Initial backend setup for Music Analyser
- Created FastAPI backend structure.
- Implemented Spotify Recently Played ingestion logic.
- Set up SQLite database with SQLAlchemy models.
- Added AI Service using Google Gemini.
- Created helper scripts for auth and background worker.
- Added Dockerfile and GitHub Actions workflow.
2025-12-24 17:26:01 +00:00

19 lines
443 B
Python

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
SQLALCHEMY_DATABASE_URL = "sqlite:///./music.db"
engine = create_engine(
SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()