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.

backend/run_ingest.py

@@ -0,0 +1,28 @@
+import asyncio
+import sys
+import os
+
+# Add the current directory to sys.path to allow imports from app
+sys.path.append(os.path.dirname(os.path.abspath(__file__)))
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from app.database import SessionLocal, Base, engine
+from app.ingest import ingest_recently_played
+
+# Ensure tables exist
+Base.metadata.create_all(bind=engine)
+
+async def main():
+    print("Starting manual ingestion...")
+    db = SessionLocal()
+    try:
+        await ingest_recently_played(db)
+        print("Ingestion complete.")
+    finally:
+        db.close()
+
+if __name__ == "__main__":
+    asyncio.run(main())