mirror of
https://github.com/bnair123/MusicAnalyser.git
synced 2026-02-25 11:46:07 +00:00
56b7e2a5ba
- Upgrade SQLAlchemy 2.0.27→2.0.45, google-genai SDK for Python 3.14 - Replace google-generativeai with google-genai in narrative_service.py - Fix HTTPException handling in main.py (was wrapping as 500) - Rebuild all frontend components with Tailwind CSS v3: - Dashboard, NarrativeSection, StatsGrid, VibeRadar, HeatMap, TopRotation - Custom color palette (background-dark, card-dark, accent-neon, etc.) - Add glass-panel, holographic-badge CSS effects - Docker improvements: - Combined backend container (API + worker in entrypoint.sh) - DATABASE_URL configurable via env var - CI workflow builds both backend and frontend images - Update README with clearer docker-compose instructions
105 lines
3.5 KiB
Python
105 lines
3.5 KiB
Python
from fastapi import FastAPI, Depends, HTTPException, BackgroundTasks
|
|
from sqlalchemy.orm import Session
|
|
from datetime import datetime, timedelta
|
|
from typing import List, Optional
|
|
from dotenv import load_dotenv
|
|
|
|
from .database import engine, Base, get_db
|
|
from .models import PlayHistory as PlayHistoryModel, Track as TrackModel, AnalysisSnapshot
|
|
from . import schemas
|
|
from .ingest import ingest_recently_played
|
|
from .services.stats_service import StatsService
|
|
from .services.narrative_service import NarrativeService
|
|
|
|
load_dotenv()
|
|
|
|
# Create tables
|
|
Base.metadata.create_all(bind=engine)
|
|
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
|
|
app = FastAPI(title="Music Analyser Backend")
|
|
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=["http://localhost:5173"],
|
|
allow_credentials=True,
|
|
allow_methods=["*"],
|
|
allow_headers=["*"],
|
|
)
|
|
|
|
@app.get("/")
|
|
def read_root():
|
|
return {"status": "ok", "message": "Music Analyser API is running"}
|
|
|
|
@app.get("/history", response_model=List[schemas.PlayHistory])
|
|
def get_history(limit: int = 50, db: Session = Depends(get_db)):
|
|
history = db.query(PlayHistoryModel).order_by(PlayHistoryModel.played_at.desc()).limit(limit).all()
|
|
return history
|
|
|
|
@app.get("/tracks", response_model=List[schemas.Track])
|
|
def get_tracks(limit: int = 50, db: Session = Depends(get_db)):
|
|
tracks = db.query(TrackModel).limit(limit).all()
|
|
return tracks
|
|
|
|
@app.post("/trigger-ingest")
|
|
async def trigger_ingest(background_tasks: BackgroundTasks, db: Session = Depends(get_db)):
|
|
"""Triggers Spotify ingestion in the background."""
|
|
background_tasks.add_task(ingest_recently_played, db)
|
|
return {"status": "Ingestion started in background"}
|
|
|
|
@app.post("/trigger-analysis")
|
|
def trigger_analysis(
|
|
days: int = 30,
|
|
model_name: str = "gemini-2.5-flash",
|
|
db: Session = Depends(get_db)
|
|
):
|
|
"""
|
|
Runs the full analysis pipeline (Stats + LLM) for the last X days.
|
|
Returns the computed metrics and narrative immediately.
|
|
"""
|
|
try:
|
|
end_date = datetime.utcnow()
|
|
start_date = end_date - timedelta(days=days)
|
|
|
|
# 1. Compute Stats
|
|
stats_service = StatsService(db)
|
|
stats_json = stats_service.generate_full_report(start_date, end_date)
|
|
|
|
if stats_json["volume"]["total_plays"] == 0:
|
|
raise HTTPException(status_code=404, detail="No plays found in the specified period.")
|
|
|
|
narrative_service = NarrativeService(model_name=model_name)
|
|
narrative_json = narrative_service.generate_full_narrative(stats_json)
|
|
|
|
# 3. Save Snapshot
|
|
snapshot = AnalysisSnapshot(
|
|
period_start=start_date,
|
|
period_end=end_date,
|
|
period_label=f"last_{days}_days",
|
|
metrics_payload=stats_json,
|
|
narrative_report=narrative_json,
|
|
model_used=model_name
|
|
)
|
|
db.add(snapshot)
|
|
db.commit()
|
|
db.refresh(snapshot)
|
|
|
|
return {
|
|
"status": "success",
|
|
"snapshot_id": snapshot.id,
|
|
"period": {"start": start_date, "end": end_date},
|
|
"metrics": stats_json,
|
|
"narrative": narrative_json
|
|
}
|
|
|
|
except HTTPException:
|
|
raise # Re-raise HTTPExceptions as-is (404, etc.)
|
|
except Exception as e:
|
|
print(f"Analysis Failed: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@app.get("/snapshots")
|
|
def get_snapshots(limit: int = 10, db: Session = Depends(get_db)):
|
|
"""Retrieve past analysis snapshots."""
|
|
return db.query(AnalysisSnapshot).order_by(AnalysisSnapshot.date.desc()).limit(limit).all() |