mirror of
https://github.com/bnair123/MusicAnalyser.git
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6e80e97960
- Created `frontend/` React+Vite app using Ant Design (Dark Theme). - Implemented `App.jsx` to display listening history and calculated "Vibes". - Updated `backend/app/ingest.py` to fix ReccoBeats ID parsing. - Updated `backend/app/schemas.py` to expose audio features to the API. - Updated `README.md` with detailed Docker hosting instructions. - Added `TODO.md` for Phase 3 roadmap. - Cleaned up test scripts.
87 lines
2.8 KiB
Markdown
87 lines
2.8 KiB
Markdown
# Music Analyser
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A personal analytics dashboard for your music listening habits, powered by Python, FastAPI, React, and Google Gemini AI.
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## Features
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- **Continuous Ingestion**: Polls Spotify every 60 seconds to record your listening history.
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- **Data Enrichment**: Automatically fetches **Genres** (via Spotify) and **Audio Features** (Energy, BPM, Mood via ReccoBeats).
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- **Dashboard**: A responsive UI (Ant Design) to view your history, stats, and "Vibes".
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- **AI Ready**: Database schema and environment prepared for Gemini AI integration.
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## Hosting Guide
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You can run this application using Docker Compose. You have two options: using the pre-built image from GitHub Container Registry or building from source.
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### 1. Prerequisites
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- Docker & Docker Compose installed.
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- **Spotify Developer Credentials** (Client ID & Secret).
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- **Spotify Refresh Token** (Run `backend/scripts/get_refresh_token.py` locally to generate this).
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- **Google Gemini API Key**.
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### 2. Configuration (`.env`)
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Create a `.env` file in the root directory (same level as `docker-compose.yml`). This file is used by Docker Compose to populate environment variables.
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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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### 3. Run with Docker Compose
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#### Option A: Build from Source (Recommended for Dev/Modifications)
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Use this if you want to modify the code or ensure you are running the exact local version.
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1. Clone the repository.
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2. Ensure your `.env` file is set up.
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3. Run:
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```bash
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docker-compose up -d --build
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```
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#### Option B: Use Pre-built Image
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Use this if you just want to run the app without building locally.
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1. Open `docker-compose.yml`.
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2. Ensure the `backend` service uses the image: `ghcr.io/bnair123/musicanalyser:latest`.
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* *Note: If you want to force usage of the image and ignore local build context, you can comment out `build: context: ./backend` in the yaml, though Compose usually prefers build context if present.*
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3. Ensure your `.env` file is set up.
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4. Run:
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```bash
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docker pull ghcr.io/bnair123/musicanalyser:latest
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docker-compose up -d
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```
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### 4. Access the Dashboard
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Open your browser to:
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`http://localhost:8991`
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### 5. Data Persistence
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- **Database**: Stored in a named volume or host path mapped to `/app/music.db`.
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- **Migrations**: The backend uses Alembic. Schema changes are applied automatically on startup.
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## Local Development (Non-Docker)
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1. **Backend**:
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```bash
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cd backend
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pip install -r requirements.txt
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python run_worker.py # Starts ingestion
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uvicorn app.main:app --reload # Starts API
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```
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2. **Frontend**:
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```bash
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cd frontend
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npm install
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npm run dev
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```
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Access at `http://localhost:5173`.
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