mirror of
https://github.com/bnair123/MusicAnalyser.git
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Merge pull request #1 from bnair123/setup-initial-backend-8149240771439055261
Initial Backend Setup
This commit is contained in:
26
.github/workflows/docker-publish.yml
vendored
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26
.github/workflows/docker-publish.yml
vendored
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name: Docker Image CI
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on:
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push:
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branches: [ "main" ]
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pull_request:
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branches: [ "main" ]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Set up QEMU
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uses: docker/setup-qemu-action@v3
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Build and push
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uses: docker/build-push-action@v5
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with:
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context: ./backend
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push: false
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tags: user/app:latest
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6
.gitignore
vendored
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6
.gitignore
vendored
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__pycache__/
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*.pyc
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*.db
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.env
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venv/
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.pytest_cache/
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72
README.md
72
README.md
@@ -1,2 +1,72 @@
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# Music Analyser
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Program that loads and tracks music listening history and provides emails/sites
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A personal analytics dashboard for your music listening habits, powered by Python, FastAPI, and Google Gemini AI.
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## Project Structure
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- `backend/`: FastAPI backend for data ingestion and API.
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- `app/ingest.py`: Background worker that polls Spotify.
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- `app/services/`: Logic for Spotify and Gemini APIs.
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- `app/models.py`: Database schema (Tracks, PlayHistory).
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- `frontend/`: (Coming Soon) React/Vite frontend.
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## Getting Started
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### Prerequisites
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- Docker & Docker Compose (optional, for containerization)
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- Python 3.11+ (for local dev)
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- A Spotify Developer App (Client ID & Secret)
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- A Google Gemini API Key
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### 1. Setup Environment Variables
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Create a `.env` file in the `backend/` directory:
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```bash
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SPOTIFY_CLIENT_ID="your_client_id"
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SPOTIFY_CLIENT_SECRET="your_client_secret"
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SPOTIFY_REFRESH_TOKEN="your_refresh_token"
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GEMINI_API_KEY="your_gemini_key"
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```
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To get the `SPOTIFY_REFRESH_TOKEN`, run the helper script:
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```bash
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python backend/scripts/get_refresh_token.py
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```
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### 2. Run Locally
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Install dependencies:
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```bash
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cd backend
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pip install -r requirements.txt
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```
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Run the server:
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```bash
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uvicorn app.main:app --reload
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```
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The API will be available at `http://localhost:8000`.
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### 3. Run Ingestion (Manually)
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You can trigger the ingestion process via the API:
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```bash
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curl -X POST http://localhost:8000/trigger-ingest
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```
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Or run the ingestion logic directly via python shell (see `app/ingest.py`).
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### 4. Docker Build
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To build the image locally:
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```bash
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docker build -t music-analyser-backend ./backend
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```
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11
backend/Dockerfile
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11
backend/Dockerfile
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# Dockerfile
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FROM python:3.11-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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18
backend/app/database.py
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18
backend/app/database.py
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker, declarative_base
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SQLALCHEMY_DATABASE_URL = "sqlite:///./music.db"
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engine = create_engine(
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SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
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)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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Base = declarative_base()
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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81
backend/app/ingest.py
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81
backend/app/ingest.py
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import asyncio
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import os
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from datetime import datetime
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from sqlalchemy.orm import Session
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from .models import Track, PlayHistory
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from .database import SessionLocal
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from .services.spotify_client import SpotifyClient
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from dateutil import parser
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# Initialize Spotify Client (env vars will be populated later)
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def get_spotify_client():
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return SpotifyClient(
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client_id=os.getenv("SPOTIFY_CLIENT_ID"),
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client_secret=os.getenv("SPOTIFY_CLIENT_SECRET"),
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refresh_token=os.getenv("SPOTIFY_REFRESH_TOKEN"),
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)
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async def ingest_recently_played(db: Session):
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client = get_spotify_client()
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try:
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items = await client.get_recently_played(limit=50)
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except Exception as e:
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print(f"Error connecting to Spotify: {e}")
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return
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print(f"Fetched {len(items)} items from Spotify.")
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for item in items:
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track_data = item["track"]
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played_at_str = item["played_at"]
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played_at = parser.isoparse(played_at_str)
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# 1. Check if track exists, if not create it
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track_id = track_data["id"]
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track = db.query(Track).filter(Track.id == track_id).first()
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if not track:
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print(f"New track found: {track_data['name']}")
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track = Track(
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id=track_id,
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name=track_data["name"],
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artist=", ".join([a["name"] for a in track_data["artists"]]),
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album=track_data["album"]["name"],
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duration_ms=track_data["duration_ms"],
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popularity=track_data["popularity"],
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raw_data=track_data
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)
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db.add(track)
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db.commit() # Commit immediately so ID exists for foreign key
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# 2. Check if this specific play instance exists
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# We assume (track_id, played_at) is unique enough
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exists = db.query(PlayHistory).filter(
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PlayHistory.track_id == track_id,
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PlayHistory.played_at == played_at
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).first()
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if not exists:
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print(f" recording play: {track_data['name']} at {played_at}")
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play = PlayHistory(
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track_id=track_id,
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played_at=played_at,
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context_uri=item.get("context", {}).get("uri") if item.get("context") else None
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)
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db.add(play)
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db.commit()
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async def run_worker():
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"""Simulates a background worker loop."""
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db = SessionLocal()
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try:
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while True:
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print("Worker: Polling Spotify...")
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await ingest_recently_played(db)
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print("Worker: Sleeping for 60 seconds...")
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await asyncio.sleep(60)
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except Exception as e:
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print(f"Worker crashed: {e}")
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finally:
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db.close()
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36
backend/app/main.py
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36
backend/app/main.py
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from fastapi import FastAPI, Depends
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from sqlalchemy.orm import Session
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from .database import engine, Base, get_db
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from .models import PlayHistory as PlayHistoryModel, Track as TrackModel
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from . import schemas
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from .ingest import ingest_recently_played
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import asyncio
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from typing import List
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from dotenv import load_dotenv
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load_dotenv()
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# Create tables
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Base.metadata.create_all(bind=engine)
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app = FastAPI(title="Music Analyser Backend")
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@app.get("/")
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def read_root():
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return {"status": "ok", "message": "Music Analyser API is running"}
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@app.get("/history", response_model=List[schemas.PlayHistory])
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def get_history(limit: int = 50, db: Session = Depends(get_db)):
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history = db.query(PlayHistoryModel).order_by(PlayHistoryModel.played_at.desc()).limit(limit).all()
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return history
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@app.post("/trigger-ingest")
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async def trigger_ingest(db: Session = Depends(get_db)):
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"""Manually trigger the ingestion process (useful for testing)"""
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await ingest_recently_played(db)
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return {"status": "Ingestion triggered"}
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@app.get("/tracks", response_model=List[schemas.Track])
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def get_tracks(limit: int = 50, db: Session = Depends(get_db)):
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tracks = db.query(TrackModel).limit(limit).all()
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return tracks
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39
backend/app/models.py
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39
backend/app/models.py
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from sqlalchemy import Column, Integer, String, DateTime, JSON, ForeignKey, Boolean
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from sqlalchemy.orm import relationship
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from datetime import datetime
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from .database import Base
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class Track(Base):
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__tablename__ = "tracks"
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id = Column(String, primary_key=True, index=True) # Spotify ID
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name = Column(String)
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artist = Column(String)
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album = Column(String)
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duration_ms = Column(Integer)
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popularity = Column(Integer, nullable=True)
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# Store raw full JSON response for future-proofing analysis
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raw_data = Column(JSON, nullable=True)
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# AI Analysis fields
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lyrics_summary = Column(String, nullable=True)
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genre_tags = Column(String, nullable=True) # JSON list stored as string or just raw JSON
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created_at = Column(DateTime, default=datetime.utcnow)
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updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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plays = relationship("PlayHistory", back_populates="track")
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class PlayHistory(Base):
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__tablename__ = "play_history"
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id = Column(Integer, primary_key=True, index=True)
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track_id = Column(String, ForeignKey("tracks.id"))
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played_at = Column(DateTime, index=True) # The timestamp from Spotify
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# Context (album, playlist, etc.)
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context_uri = Column(String, nullable=True)
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track = relationship("Track", back_populates="plays")
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32
backend/app/schemas.py
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32
backend/app/schemas.py
Normal file
@@ -0,0 +1,32 @@
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from pydantic import BaseModel
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from typing import List, Optional
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from datetime import datetime
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class TrackBase(BaseModel):
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id: str
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name: str
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artist: str
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album: str
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duration_ms: int
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popularity: Optional[int] = None
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lyrics_summary: Optional[str] = None
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genre_tags: Optional[str] = None
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class Track(TrackBase):
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class PlayHistoryBase(BaseModel):
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track_id: str
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played_at: datetime
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context_uri: Optional[str] = None
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class PlayHistory(PlayHistoryBase):
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id: int
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track: Track
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class Config:
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from_attributes = True
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40
backend/app/services/ai_service.py
Normal file
40
backend/app/services/ai_service.py
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@@ -0,0 +1,40 @@
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import os
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import google.generativeai as genai
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from typing import List
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from ..models import PlayHistory, Track
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class AIService:
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def __init__(self, api_key: str):
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genai.configure(api_key=api_key)
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self.model = genai.GenerativeModel('models/gemini-2.0-flash')
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def generate_analysis(self, plays: List[PlayHistory]) -> str:
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"""
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Generates a summary analysis of the provided play history.
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"""
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if not plays:
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return "No listening history available to analyze."
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# Prepare a simple text representation of the history
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history_text = "Here is my recent listening history:\n"
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for play in plays:
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history_text += f"- {play.track.name} by {play.track.artist} (Played at {play.played_at})\n"
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prompt = f"""
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You are a music taste analyst.
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Analyze the following listening history and provide a short, fun, and insightful summary.
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Identify the vibe, top artists, and any interesting patterns (e.g. "You started with high energy and chilled out").
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Keep it under 200 words.
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{history_text}
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"""
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|
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try:
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response = self.model.generate_content(prompt)
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return response.text
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except Exception as e:
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return f"AI Analysis failed: {str(e)}"
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# Singleton accessor
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def get_ai_service():
|
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return AIService(api_key=os.getenv("GEMINI_API_KEY"))
|
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70
backend/app/services/spotify_client.py
Normal file
70
backend/app/services/spotify_client.py
Normal file
@@ -0,0 +1,70 @@
|
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import os
|
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import base64
|
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import time
|
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import httpx
|
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from fastapi import HTTPException
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|
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SPOTIFY_TOKEN_URL = "https://accounts.spotify.com/api/token"
|
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SPOTIFY_API_BASE = "https://api.spotify.com/v1"
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|
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class SpotifyClient:
|
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def __init__(self, client_id: str, client_secret: str, refresh_token: str):
|
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self.client_id = client_id
|
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self.client_secret = client_secret
|
||||
self.refresh_token = refresh_token
|
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self.access_token = None
|
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self.token_expires_at = 0
|
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|
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async def get_access_token(self):
|
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"""Returns a valid access token, refreshing if necessary."""
|
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if self.access_token and time.time() < self.token_expires_at:
|
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return self.access_token
|
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|
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print("Refreshing Spotify Access Token...")
|
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async with httpx.AsyncClient() as client:
|
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auth_str = f"{self.client_id}:{self.client_secret}"
|
||||
b64_auth = base64.b64encode(auth_str.encode()).decode()
|
||||
|
||||
response = await client.post(
|
||||
SPOTIFY_TOKEN_URL,
|
||||
data={
|
||||
"grant_type": "refresh_token",
|
||||
"refresh_token": self.refresh_token,
|
||||
},
|
||||
headers={"Authorization": f"Basic {b64_auth}"},
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
print(f"Failed to refresh token: {response.text}")
|
||||
raise Exception("Could not refresh Spotify token")
|
||||
|
||||
data = response.json()
|
||||
self.access_token = data["access_token"]
|
||||
# expires_in is usually 3600 seconds. buffer by 60s
|
||||
self.token_expires_at = time.time() + data["expires_in"] - 60
|
||||
return self.access_token
|
||||
|
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async def get_recently_played(self, limit=50):
|
||||
token = await self.get_access_token()
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(
|
||||
f"{SPOTIFY_API_BASE}/me/player/recently-played",
|
||||
params={"limit": limit},
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
)
|
||||
if response.status_code != 200:
|
||||
print(f"Error fetching recently played: {response.text}")
|
||||
return []
|
||||
|
||||
return response.json().get("items", [])
|
||||
|
||||
async def get_track(self, track_id: str):
|
||||
token = await self.get_access_token()
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(
|
||||
f"{SPOTIFY_API_BASE}/tracks/{track_id}",
|
||||
headers={"Authorization": f"Bearer {token}"},
|
||||
)
|
||||
if response.status_code != 200:
|
||||
return None
|
||||
return response.json()
|
||||
11
backend/requirements.txt
Normal file
11
backend/requirements.txt
Normal file
@@ -0,0 +1,11 @@
|
||||
fastapi==0.109.2
|
||||
uvicorn==0.27.1
|
||||
sqlalchemy==2.0.27
|
||||
httpx==0.26.0
|
||||
python-dotenv==1.0.1
|
||||
pydantic==2.6.1
|
||||
pydantic-settings==2.1.0
|
||||
google-generativeai==0.3.2
|
||||
tenacity==8.2.3
|
||||
python-dateutil==2.9.0.post0
|
||||
requests==2.31.0
|
||||
28
backend/run_ingest.py
Normal file
28
backend/run_ingest.py
Normal file
@@ -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())
|
||||
22
backend/run_worker.py
Normal file
22
backend/run_worker.py
Normal file
@@ -0,0 +1,22 @@
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# Add the current directory to sys.path
|
||||
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
from app.database import Base, engine
|
||||
from app.ingest import run_worker
|
||||
|
||||
# Ensure tables exist
|
||||
Base.metadata.create_all(bind=engine)
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("Starting Background Worker...")
|
||||
try:
|
||||
asyncio.run(run_worker())
|
||||
except KeyboardInterrupt:
|
||||
print("Worker stopped.")
|
||||
87
backend/scripts/get_refresh_token.py
Normal file
87
backend/scripts/get_refresh_token.py
Normal file
@@ -0,0 +1,87 @@
|
||||
import os
|
||||
import sys
|
||||
import webbrowser
|
||||
import requests
|
||||
import urllib.parse
|
||||
from http.server import HTTPServer, BaseHTTPRequestHandler
|
||||
|
||||
# Instructions for the user:
|
||||
# 1. Go to Spotify Developer Dashboard: https://developer.spotify.com/dashboard/
|
||||
# 2. Create an App.
|
||||
# 3. Edit Settings -> Redirect URIs -> Add "http://localhost:8888/callback"
|
||||
# 4. Save Settings.
|
||||
# 5. Copy Client ID and Client Secret.
|
||||
# 6. Run this script: python get_refresh_token.py
|
||||
|
||||
# CONFIGURATION - You can hardcode these or input them when prompted
|
||||
SPOTIFY_CLIENT_ID = input("Enter your Spotify Client ID: ").strip()
|
||||
SPOTIFY_CLIENT_SECRET = input("Enter your Spotify Client Secret: ").strip()
|
||||
REDIRECT_URI = "http://localhost:8888/callback"
|
||||
SCOPE = "user-read-recently-played user-read-playback-state"
|
||||
|
||||
class RequestHandler(BaseHTTPRequestHandler):
|
||||
def do_GET(self):
|
||||
query = urllib.parse.urlparse(self.path).query
|
||||
params = urllib.parse.parse_qs(query)
|
||||
|
||||
if "code" in params:
|
||||
self.send_response(200)
|
||||
self.send_header("Content-type", "text/html")
|
||||
self.end_headers()
|
||||
self.wfile.write(b"<h1>Got the code! check your terminal.</h1>")
|
||||
|
||||
code = params["code"][0]
|
||||
get_token(code)
|
||||
|
||||
# Shut down server
|
||||
raise KeyboardInterrupt
|
||||
|
||||
def get_token(code):
|
||||
url = "https://accounts.spotify.com/api/token"
|
||||
payload = {
|
||||
"grant_type": "authorization_code",
|
||||
"code": code,
|
||||
"redirect_uri": REDIRECT_URI,
|
||||
"client_id": SPOTIFY_CLIENT_ID,
|
||||
"client_secret": SPOTIFY_CLIENT_SECRET,
|
||||
}
|
||||
|
||||
response = requests.post(url, data=payload)
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("\n" + "="*50)
|
||||
print("SUCCESS! HERE ARE YOUR CREDENTIALS")
|
||||
print("="*50)
|
||||
print(f"\nSPOTIFY_REFRESH_TOKEN={data['refresh_token']}")
|
||||
print(f"SPOTIFY_CLIENT_ID={SPOTIFY_CLIENT_ID}")
|
||||
print(f"SPOTIFY_CLIENT_SECRET={SPOTIFY_CLIENT_SECRET}")
|
||||
print("\nSave these in your .env file or share them with the agent.")
|
||||
print("="*50 + "\n")
|
||||
else:
|
||||
print("Error getting token:", response.text)
|
||||
|
||||
def start_auth():
|
||||
auth_url = "https://accounts.spotify.com/authorize?" + urllib.parse.urlencode({
|
||||
"response_type": "code",
|
||||
"client_id": SPOTIFY_CLIENT_ID,
|
||||
"scope": SCOPE,
|
||||
"redirect_uri": REDIRECT_URI,
|
||||
})
|
||||
|
||||
print(f"Opening browser to: {auth_url}")
|
||||
try:
|
||||
webbrowser.open(auth_url)
|
||||
except:
|
||||
print(f"Could not open browser. Please manually visit: {auth_url}")
|
||||
|
||||
server_address = ('', 8888)
|
||||
httpd = HTTPServer(server_address, RequestHandler)
|
||||
print("Listening on port 8888...")
|
||||
try:
|
||||
httpd.serve_forever()
|
||||
except KeyboardInterrupt:
|
||||
pass
|
||||
httpd.server_close()
|
||||
|
||||
if __name__ == "__main__":
|
||||
start_auth()
|
||||
0
backend/worker.log
Normal file
0
backend/worker.log
Normal file
Reference in New Issue
Block a user