diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml index c35bcc6..cac1763 100644 --- a/.github/workflows/docker-publish.yml +++ b/.github/workflows/docker-publish.yml @@ -8,17 +8,16 @@ on: env: REGISTRY: ghcr.io - IMAGE_NAME: ${{ github.repository }} jobs: - build: + build-backend: runs-on: ubuntu-latest permissions: contents: read packages: write steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Set up QEMU uses: docker/setup-qemu-action@v3 @@ -33,25 +32,68 @@ jobs: username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - - name: Extract metadata (tags, labels) for Docker - id: meta + - name: Extract metadata (tags, labels) for Backend + id: meta-backend uses: docker/metadata-action@v5 with: - images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/musicanalyser tags: | type=ref,event=branch type=ref,event=pr - type=semver,pattern={{version}} type=sha - latest + type=raw,value=latest,enable={{is_default_branch}} - - name: Build and push + - name: Build and push Backend uses: docker/build-push-action@v5 with: context: ./backend push: true - tags: ${{ steps.meta.outputs.tags }} - labels: ${{ steps.meta.outputs.labels }} + tags: ${{ steps.meta-backend.outputs.tags }} + labels: ${{ steps.meta-backend.outputs.labels }} + platforms: linux/amd64,linux/arm64 + cache-from: type=gha + cache-to: type=gha,mode=max + + build-frontend: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + + steps: + - uses: actions/checkout@v4 + + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Extract metadata (tags, labels) for Frontend + id: meta-frontend + uses: docker/metadata-action@v5 + with: + images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/musicanalyser-frontend + tags: | + type=ref,event=branch + type=ref,event=pr + type=sha + type=raw,value=latest,enable={{is_default_branch}} + + - name: Build and push Frontend + uses: docker/build-push-action@v5 + with: + context: ./frontend + push: true + tags: ${{ steps.meta-frontend.outputs.tags }} + labels: ${{ steps.meta-frontend.outputs.labels }} platforms: linux/amd64,linux/arm64 cache-from: type=gha cache-to: type=gha,mode=max diff --git a/README.md b/README.md index a3d1941..e9d74b9 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,8 @@ A personal analytics dashboard for your music listening habits, powered by Python, FastAPI, React, and Google Gemini AI. +![Dashboard Screenshot](screen.png) + ## Features - **Continuous Ingestion**: Polls Spotify every 60 seconds to record your listening history. @@ -9,83 +11,129 @@ A personal analytics dashboard for your music listening habits, powered by Pytho - **Genres & Images** (via Spotify) - **Audio Features** (Energy, BPM, Mood via ReccoBeats) - **Lyrics & Metadata** (via Genius) -- **Dashboard**: A responsive UI (Ant Design) to view your history, stats, and "Vibes". -- **AI Ready**: Database schema and environment prepared for Gemini AI integration. +- **Dashboard**: A responsive UI with Tailwind CSS, featuring AI-generated narrative insights. +- **AI Powered**: Google Gemini generates personalized listening narratives and roasts. -## Hosting Guide - -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. +## Quick Start (Docker Compose) ### 1. Prerequisites -- Docker & Docker Compose installed. -- **Spotify Developer Credentials** (Client ID & Secret). -- **Spotify Refresh Token** (Run `backend/scripts/get_refresh_token.py` locally to generate this). -- **Google Gemini API Key**. -- **Genius API Token** (Optional, for lyrics). +- Docker & Docker Compose installed +- Spotify Developer Credentials ([Create App](https://developer.spotify.com/dashboard)) +- Google Gemini API Key ([Get Key](https://aistudio.google.com/app/apikey)) +- Genius API Token (Optional, for lyrics - [Get Token](https://genius.com/api-clients)) -### 2. Configuration (`.env`) +### 2. Get Spotify Refresh Token -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. +Run this one-time script locally to authorize your Spotify account: + +```bash +cd backend +pip install httpx +python scripts/get_refresh_token.py +``` + +Follow the prompts. Copy the `refresh_token` value for your `.env` file. + +### 3. Create `.env` File + +Create a `.env` file in the project root: ```bash SPOTIFY_CLIENT_ID="your_client_id" SPOTIFY_CLIENT_SECRET="your_client_secret" SPOTIFY_REFRESH_TOKEN="your_refresh_token" GEMINI_API_KEY="your_gemini_key" -GENIUS_ACCESS_TOKEN="your_genius_token" +GENIUS_ACCESS_TOKEN="your_genius_token" # Optional ``` -### 3. Run with Docker Compose +### 4. Run with Pre-built Images -#### Option A: Build from Source (Recommended for Dev/Modifications) +```bash +# Pull the latest images +docker pull ghcr.io/bnair123/musicanalyser:latest +docker pull ghcr.io/bnair123/musicanalyser-frontend:latest -Use this if you want to modify the code or ensure you are running the exact local version. +# Start the services +docker-compose up -d +``` -1. Clone the repository. -2. Ensure your `.env` file is set up. -3. Run: - ```bash - docker-compose up -d --build - ``` +Or build from source: -#### Option B: Use Pre-built Image +```bash +docker-compose up -d --build +``` -Use this if you just want to run the app without building locally. +### 5. Access the Dashboard -1. Open `docker-compose.yml`. -2. Ensure the `backend` service uses the image: `ghcr.io/bnair123/musicanalyser:latest`. - * *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.* -3. Ensure your `.env` file is set up. -4. Run: - ```bash - docker pull ghcr.io/bnair123/musicanalyser:latest - docker-compose up -d - ``` +Open your browser to: **http://localhost:8991** -### 4. Access the Dashboard +## Architecture -Open your browser to: -`http://localhost:8991` +``` +┌─────────────────────┐ ┌─────────────────────┐ +│ Frontend │ │ Backend │ +│ (React + Vite) │────▶│ (FastAPI + Worker) │ +│ Port: 8991 │ │ Port: 8000 │ +└─────────────────────┘ └─────────────────────┘ + │ + ┌────────┴────────┐ + ▼ ▼ + ┌──────────┐ ┌──────────────┐ + │ SQLite │ │ Spotify API │ + │ music.db │ │ Gemini AI │ + └──────────┘ └──────────────┘ +``` -### 5. Data Persistence +- **Backend Container**: Runs both the FastAPI server AND the background Spotify polling worker +- **Frontend Container**: Nginx serving the React build, proxies `/api/` to backend +- **Database**: SQLite stored in a Docker named volume (`music_data`) for persistence -- **Database**: Stored in a named volume or host path mapped to `/app/music.db`. -- **Migrations**: The backend uses Alembic. Schema changes are applied automatically on startup. +## Data Persistence -## Local Development (Non-Docker) +Your listening history is stored in a Docker named volume: +- Volume name: `music_data` +- Database file: `/app/music.db` +- Migrations run automatically on container startup -1. **Backend**: - ```bash - cd backend - pip install -r requirements.txt - python run_worker.py # Starts ingestion - uvicorn app.main:app --reload # Starts API - ``` +To backup your data: +```bash +docker cp $(docker-compose ps -q backend):/app/music.db ./backup.db +``` -2. **Frontend**: - ```bash - cd frontend - npm install - npm run dev - ``` - Access at `http://localhost:5173`. +## Local Development + +### Backend +```bash +cd backend +python -m venv venv && source venv/bin/activate +pip install -r requirements.txt + +# Run migrations +alembic upgrade head + +# Start worker (polls Spotify every 60s) +python run_worker.py & + +# Start API server +uvicorn app.main:app --reload +``` + +### Frontend +```bash +cd frontend +npm install +npm run dev +``` + +Access at http://localhost:5173 (Vite proxies `/api` to backend automatically) + +## Environment Variables + +| Variable | Required | Description | +|----------|----------|-------------| +| `SPOTIFY_CLIENT_ID` | Yes | Spotify app client ID | +| `SPOTIFY_CLIENT_SECRET` | Yes | Spotify app client secret | +| `SPOTIFY_REFRESH_TOKEN` | Yes | Long-lived refresh token from OAuth | +| `GEMINI_API_KEY` | Yes | Google Gemini API key | +| `GENIUS_ACCESS_TOKEN` | No | Genius API token for lyrics | +| `DATABASE_URL` | No | SQLite path (default: `sqlite:///./music.db`) | diff --git a/backend/Dockerfile b/backend/Dockerfile index 1aa88f8..ffd1e5b 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -3,9 +3,20 @@ FROM python:3.11-slim WORKDIR /app +# Install system dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + && rm -rf /var/lib/apt/lists/* + COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt COPY . . -CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] +# Make entrypoint executable +RUN chmod +x entrypoint.sh + +# Expose API port +EXPOSE 8000 + +# Use entrypoint script to run migrations, worker, and API +CMD ["./entrypoint.sh"] diff --git a/backend/alembic/env.py b/backend/alembic/env.py index 2f7f1d5..3fd3cb7 100644 --- a/backend/alembic/env.py +++ b/backend/alembic/env.py @@ -10,29 +10,17 @@ from alembic import context # Add app to path to import models sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) -from app.database import Base -from app.models import * # Import models to register them +from app.database import Base, SQLALCHEMY_DATABASE_URL +from app.models import * -# this is the Alembic Config object, which provides -# access to the values within the .ini file in use. config = context.config -# Interpret the config file for Python logging. -# This line sets up loggers basically. if config.config_file_name is not None: fileConfig(config.config_file_name) -# add your model's MetaData object here -# for 'autogenerate' support target_metadata = Base.metadata -# other values from the config, defined by the needs of env.py, -# can be acquired: -# my_important_option = config.get_main_option("my_important_option") -# ... etc. - -# Override sqlalchemy.url with our app's URL -config.set_main_option("sqlalchemy.url", "sqlite:///./music.db") +config.set_main_option("sqlalchemy.url", SQLALCHEMY_DATABASE_URL) def run_migrations_offline() -> None: diff --git a/backend/app/database.py b/backend/app/database.py index cf50caf..aa92780 100644 --- a/backend/app/database.py +++ b/backend/app/database.py @@ -1,11 +1,14 @@ +import os from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker, declarative_base -SQLALCHEMY_DATABASE_URL = "sqlite:///./music.db" +SQLALCHEMY_DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./music.db") -engine = create_engine( - SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} -) +connect_args = {} +if SQLALCHEMY_DATABASE_URL.startswith("sqlite"): + connect_args["check_same_thread"] = False + +engine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args=connect_args) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) Base = declarative_base() diff --git a/backend/app/main.py b/backend/app/main.py index d7c96b9..ea624f8 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -16,8 +16,18 @@ 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"} @@ -59,9 +69,8 @@ def trigger_analysis( if stats_json["volume"]["total_plays"] == 0: raise HTTPException(status_code=404, detail="No plays found in the specified period.") - # 2. Generate Narrative narrative_service = NarrativeService(model_name=model_name) - narrative_json = narrative_service.generate_narrative(stats_json) + narrative_json = narrative_service.generate_full_narrative(stats_json) # 3. Save Snapshot snapshot = AnalysisSnapshot( @@ -84,6 +93,8 @@ def trigger_analysis( "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)) diff --git a/backend/app/services/narrative_service.py b/backend/app/services/narrative_service.py index 2a0d54f..d80245e 100644 --- a/backend/app/services/narrative_service.py +++ b/backend/app/services/narrative_service.py @@ -1,16 +1,15 @@ import os import json import re -import google.generativeai as genai +from google import genai from typing import Dict, Any, List, Optional class NarrativeService: def __init__(self, model_name: str = "gemini-2.0-flash-exp"): self.api_key = os.getenv("GEMINI_API_KEY") + self.client = genai.Client(api_key=self.api_key) if self.api_key else None if not self.api_key: print("WARNING: GEMINI_API_KEY not found. LLM features will fail.") - else: - genai.configure(api_key=self.api_key) self.model_name = model_name @@ -48,11 +47,10 @@ Your goal is to generate a JSON report that acts as a deeper, more honest "Spoti }} """ try: - model = genai.GenerativeModel(self.model_name) - # Use JSON mode if available, otherwise rely on prompt + cleaning - response = model.generate_content( - prompt, - generation_config={"response_mime_type": "application/json"} + response = self.client.models.generate_content( + model=self.model_name, + contents=prompt, + config=genai.types.GenerateContentConfig(response_mime_type="application/json") ) return self._clean_and_parse_json(response.text) diff --git a/backend/entrypoint.sh b/backend/entrypoint.sh new file mode 100644 index 0000000..8209496 --- /dev/null +++ b/backend/entrypoint.sh @@ -0,0 +1,17 @@ +#!/bin/bash +set -e + +echo "=== MusicAnalyser Backend Starting ===" + +# Run Alembic migrations +echo "Running database migrations..." +alembic upgrade head + +# Start the worker in background (polls Spotify every 60s) +echo "Starting Spotify ingestion worker..." +python run_worker.py & +WORKER_PID=$! + +# Start the API server in foreground +echo "Starting API server on port 8000..." +exec uvicorn app.main:app --host 0.0.0.0 --port 8000 diff --git a/backend/requirements.txt b/backend/requirements.txt index 488ba79..3b52a98 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -1,14 +1,15 @@ fastapi==0.109.2 uvicorn==0.27.1 -sqlalchemy==2.0.27 -httpx==0.26.0 +sqlalchemy==2.0.45 +httpx==0.28.1 python-dotenv==1.0.1 -pydantic==2.6.1 -pydantic-settings==2.1.0 -google-generativeai==0.3.2 +pydantic==2.12.5 +pydantic-core==2.41.5 +pydantic-settings==2.12.0 tenacity==8.2.3 python-dateutil==2.9.0.post0 requests==2.31.0 alembic==1.13.1 scikit-learn==1.4.0 lyricsgenius==3.0.1 +google-genai==1.56.0 diff --git a/docker-compose.yml b/docker-compose.yml index b6cba45..223771e 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,4 +1,5 @@ version: '3.8' + services: backend: build: @@ -7,20 +8,35 @@ services: container_name: music-analyser-backend restart: unless-stopped volumes: - - /opt/mySpotify/music.db:/app/music.db + - music_data:/app/data environment: + - DATABASE_URL=sqlite:////app/data/music.db - SPOTIFY_CLIENT_ID=${SPOTIFY_CLIENT_ID} - SPOTIFY_CLIENT_SECRET=${SPOTIFY_CLIENT_SECRET} - SPOTIFY_REFRESH_TOKEN=${SPOTIFY_REFRESH_TOKEN} - GEMINI_API_KEY=${GEMINI_API_KEY} + - GENIUS_ACCESS_TOKEN=${GENIUS_ACCESS_TOKEN} ports: - '8000:8000' + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:8000/"] + interval: 30s + timeout: 10s + retries: 3 + start_period: 40s + frontend: build: context: ./frontend + image: ghcr.io/bnair123/musicanalyser-frontend:latest container_name: music-analyser-frontend restart: unless-stopped ports: - '8991:80' depends_on: - - backend + backend: + condition: service_healthy + +volumes: + music_data: + driver: local diff --git a/frontend/index.html b/frontend/index.html index c20fbd3..d2c965f 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -1,12 +1,15 @@ - + - frontend + SonicStats - Your Vibe Report + + + - +
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"@types/d3-array": "^3.0.3", + "@types/d3-ease": "^3.0.0", + "@types/d3-interpolate": "^3.0.1", + "@types/d3-scale": "^4.0.2", + "@types/d3-shape": "^3.1.0", + "@types/d3-time": "^3.0.0", + "@types/d3-timer": "^3.0.0", + "d3-array": "^3.1.6", + "d3-ease": "^3.0.1", + "d3-interpolate": "^3.0.1", + "d3-scale": "^4.0.2", + "d3-shape": "^3.1.0", + "d3-time": "^3.0.0", + "d3-timer": "^3.0.1" + } + }, "node_modules/vite": { "version": "7.3.0", "resolved": "https://registry.npmjs.org/vite/-/vite-7.3.0.tgz", diff --git a/frontend/package.json b/frontend/package.json index d5151a7..ba5a53a 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -14,19 +14,25 @@ "antd": "^6.1.2", "axios": "^1.13.2", "date-fns": "^4.1.0", + "framer-motion": "^12.23.26", + "lucide-react": "^0.562.0", "react": "^19.2.0", "react-dom": "^19.2.0", - "react-router-dom": "^7.11.0" + "react-router-dom": "^7.11.0", + "recharts": "^3.6.0" }, "devDependencies": { "@eslint/js": "^9.39.1", "@types/react": "^19.2.5", "@types/react-dom": "^19.2.3", "@vitejs/plugin-react": "^5.1.1", + "autoprefixer": "^10.4.23", "eslint": "^9.39.1", "eslint-plugin-react-hooks": "^7.0.1", "eslint-plugin-react-refresh": "^0.4.24", "globals": "^16.5.0", + "postcss": "^8.5.6", + "tailwindcss": "^3.4.19", "vite": "^7.2.4" } } diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/src/App.css b/frontend/src/App.css deleted file mode 100644 index b9d355d..0000000 --- a/frontend/src/App.css +++ /dev/null @@ -1,42 +0,0 @@ -#root { - max-width: 1280px; - margin: 0 auto; - padding: 2rem; - text-align: center; -} - -.logo { - height: 6em; - padding: 1.5em; - will-change: filter; - transition: filter 300ms; -} -.logo:hover { - filter: drop-shadow(0 0 2em #646cffaa); -} -.logo.react:hover { - filter: drop-shadow(0 0 2em #61dafbaa); -} - -@keyframes logo-spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } -} - -@media (prefers-reduced-motion: no-preference) { - a:nth-of-type(2) .logo { - animation: logo-spin infinite 20s linear; - } -} - -.card { - padding: 2em; -} - -.read-the-docs { - color: #888; -} diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx index c228b2f..8a68555 100644 --- a/frontend/src/App.jsx +++ b/frontend/src/App.jsx @@ -1,117 +1,9 @@ -import React, { useEffect, useState } from 'react'; -import { Table, Layout, Typography, Tag, Card, Statistic, Row, Col, Space } from 'antd'; -import { ClockCircleOutlined, SoundOutlined, UserOutlined } from '@ant-design/icons'; -import axios from 'axios'; -import { format } from 'date-fns'; - -const { Header, Content, Footer } = Layout; -const { Title, Text } = Typography; - -const App = () => { - const [history, setHistory] = useState([]); - const [loading, setLoading] = useState(true); - - // Fetch History - useEffect(() => { - const fetchHistory = async () => { - try { - const response = await axios.get('/api/history?limit=100'); - setHistory(response.data); - } catch (error) { - console.error("Failed to fetch history", error); - } finally { - setLoading(false); - } - }; - fetchHistory(); - }, []); - - // Columns for Ant Design Table - const columns = [ - { - title: 'Track', - dataIndex: ['track', 'name'], - key: 'track', - render: (text, record) => ( - - {text} - {record.track.album} - - ), - }, - { - title: 'Artist', - dataIndex: ['track', 'artist'], - key: 'artist', - render: (text) => } color="blue">{text}, - }, - { - title: 'Played At', - dataIndex: 'played_at', - key: 'played_at', - render: (date) => ( - - - {format(new Date(date), 'MMM d, h:mm a')} - - ), - sorter: (a, b) => new Date(a.played_at) - new Date(b.played_at), - defaultSortOrder: 'descend', - }, - { - title: 'Vibe', - key: 'vibe', - render: (_, record) => { - const energy = record.track.energy; - const valence = record.track.valence; - if (energy === undefined || valence === undefined) return Unknown; - - let color = 'default'; - let label = 'Neutral'; - - if (energy > 0.7 && valence > 0.5) { color = 'orange'; label = 'High Energy / Happy'; } - else if (energy > 0.7 && valence <= 0.5) { color = 'red'; label = 'High Energy / Dark'; } - else if (energy <= 0.4 && valence > 0.5) { color = 'green'; label = 'Chill / Peaceful'; } - else if (energy <= 0.4 && valence <= 0.5) { color = 'purple'; label = 'Sad / Melancholic'; } - - return {label}; - } - } - ]; +import Dashboard from './components/Dashboard'; +function App() { return ( - -
- - <SoundOutlined style={{ marginRight: 10 }}/> Music Analyser - -
- -
- - - - - } /> - - - - - Recent Listening History - - - -
- Music Analyser ©{new Date().getFullYear()} Created with Ant Design -
- + ); -}; +} export default App; diff --git a/frontend/src/components/Dashboard.jsx b/frontend/src/components/Dashboard.jsx new file mode 100644 index 0000000..b44d79c --- /dev/null +++ b/frontend/src/components/Dashboard.jsx @@ -0,0 +1,154 @@ +import React, { useState, useEffect } from 'react'; +import axios from 'axios'; +import NarrativeSection from './NarrativeSection'; +import StatsGrid from './StatsGrid'; +import VibeRadar from './VibeRadar'; +import HeatMap from './HeatMap'; +import TopRotation from './TopRotation'; +import { Spin } from 'antd'; // Keeping Spin for loading state + +const API_BASE_URL = '/api'; + +const Dashboard = () => { + const [data, setData] = useState(null); + const [loading, setLoading] = useState(true); + + const getTodayKey = () => `sonicstats_v1_${new Date().toISOString().split('T')[0]}`; + + const fetchData = async (forceRefresh = false) => { + setLoading(true); + const todayKey = getTodayKey(); + + if (!forceRefresh) { + const cached = localStorage.getItem(todayKey); + if (cached) { + console.log("Loading from cache"); + setData(JSON.parse(cached)); + setLoading(false); + return; + } + } + + try { + let payload; + if (forceRefresh) { + const res = await axios.post(`${API_BASE_URL}/trigger-analysis?days=30`); + payload = res.data; + } else { + const snapRes = await axios.get(`${API_BASE_URL}/snapshots?limit=1`); + if (snapRes.data && snapRes.data.length > 0) { + const latest = snapRes.data[0]; + payload = { + metrics: latest.metrics_payload, + narrative: latest.narrative_report + }; + } else { + const res = await axios.post(`${API_BASE_URL}/trigger-analysis?days=30`); + payload = res.data; + } + } + + if (payload) { + setData(payload); + localStorage.setItem(todayKey, JSON.stringify(payload)); + } + + } catch (error) { + console.error("Failed to fetch data", error); + } finally { + setLoading(false); + } + }; + + useEffect(() => { + fetchData(); + }, []); + + if (loading && !data) { + return ( +
+ +

Analyzing your auditory aura...

+
+ ); + } + + return ( + <> + {/* Navbar */} +
+
+
+
+ equalizer +
+

SonicStats

+
+
+ +
+
+
+
+ +
+ {/* Hero */} + + + {/* Stats Bento Grid */} + + + {/* Sonic DNA & Chronobiology Split */} +
+ {/* Left Col: Sonic DNA (2/3 width) */} +
+ + +
+ + {/* Right Col: Chronobiology (1/3 width) */} +
+ +
+
+ + {/* Footer: The Roast */} + {data?.narrative?.roast && ( +
+
+
+
+
Analysis Complete
+

+ Your Musical Age is {data?.metrics?.era?.musical_age || "Unknown"}. +

+

+ {data?.narrative?.era_insight || "You are timeless."} +

+
+
+
+ smart_toy +
+

+ "{data.narrative.roast}" +

+
+
+
+
+
+
+ )} +
+ + ); +}; + +export default Dashboard; diff --git a/frontend/src/components/HeatMap.jsx b/frontend/src/components/HeatMap.jsx new file mode 100644 index 0000000..e5455b3 --- /dev/null +++ b/frontend/src/components/HeatMap.jsx @@ -0,0 +1,112 @@ +import React from 'react'; + +const HeatMap = ({ timeHabits }) => { + if (!timeHabits) return null; + + // Helper to get intensity for a day/time slot + // Since we only have aggregate hourly and daily stats, we'll approximate: + // Cell(d, h) ~ Daily(d) * Hourly(h) + + // Normalize daily distribution (0-6, Mon-Sun) + // API usually returns 0=Monday or 0=Sunday depending on backend. Let's assume 0=Monday for now. + const dailyDist = timeHabits.daily_distribution || {}; + const hourlyDist = timeHabits.hourly_distribution || {}; + + const days = ['M', 'T', 'W', 'T', 'F', 'S', 'S']; + const timeBlocks = [ + { label: 'Night', hours: [0, 1, 2, 3, 4, 5] }, + { label: 'Morning', hours: [6, 7, 8, 9, 10, 11] }, + { label: 'Noon', hours: [12, 13, 14, 15, 16, 17] }, + { label: 'Evening', hours: [18, 19, 20, 21, 22, 23] } + ]; + + const maxDaily = Math.max(...Object.values(dailyDist)) || 1; + const maxHourly = Math.max(...Object.values(hourlyDist)) || 1; + + // Flatten grid for rendering: 4 rows (time blocks) x 7 cols (days) + // Actually code.html has many small squares. It looks like each column is a day, and rows are finer time slots. + // Let's do 4 rows representing 6-hour blocks. + + return ( +
+

+ history + Chronobiology +

+ +
+

Listening Heatmap

+ + {/* Grid */} +
+ {/* Header Days */} + {days.map((d, i) => ( +
{d}
+ ))} + + {/* Generate cells: 4 rows x 7 cols */} + {timeBlocks.map((block, rowIdx) => ( + + {days.map((_, colIdx) => { + // Calculate approximated intensity + const dayVal = dailyDist[colIdx] || 0; + const blockVal = block.hours.reduce((acc, h) => acc + (hourlyDist[h] || 0), 0); + + // Normalize + const intensity = (dayVal / maxDaily) * (blockVal / (maxHourly * 6)); + + let bgClass = "bg-[#1e293b]"; // Default empty + if (intensity > 0.8) bgClass = "bg-primary"; + else if (intensity > 0.6) bgClass = "bg-primary/80"; + else if (intensity > 0.4) bgClass = "bg-primary/60"; + else if (intensity > 0.2) bgClass = "bg-primary/40"; + else if (intensity > 0) bgClass = "bg-primary/20"; + + return ( +
+ ); + })} + + ))} +
+ +
+ 00:00 + 12:00 + 23:59 +
+
+ + {/* Session Flow (Static for now as API doesn't provide session logs yet) */} +
+

Session Flow

+
+
+ +

Today, 2:30 PM

+

Marathoning

+

3h 42m session

+
+
+ +

Yesterday, 9:15 AM

+

Micro-Dosing

+

12m commute

+
+
+ +

Yesterday, 8:00 PM

+

Deep Focus

+

1h 15m session

+
+
+
+
+ ); +}; + +export default HeatMap; diff --git a/frontend/src/components/NarrativeSection.jsx b/frontend/src/components/NarrativeSection.jsx new file mode 100644 index 0000000..dcc8559 --- /dev/null +++ b/frontend/src/components/NarrativeSection.jsx @@ -0,0 +1,66 @@ +import React from 'react'; +import { motion } from 'framer-motion'; + +const NarrativeSection = ({ narrative, vibe }) => { + if (!narrative) return null; + + const persona = narrative.persona || "THE UNKNOWN LISTENER"; + const vibeCheck = narrative.vibe_check || "Analyzing auditory aura..."; + + // Generate tags based on vibe metrics if available + const getTags = () => { + if (!vibe) return []; + const tags = []; + if (vibe.valence > 0.6) tags.push({ text: "HIGH VALENCE", color: "primary" }); + else if (vibe.valence < 0.4) tags.push({ text: "MELANCHOLIC", color: "accent-purple" }); + + if (vibe.energy > 0.6) tags.push({ text: "HIGH ENERGY", color: "accent-neon" }); + else if (vibe.energy < 0.4) tags.push({ text: "CHILL VIBES", color: "accent-purple" }); + + if (vibe.danceability > 0.7) tags.push({ text: "DANCEABLE", color: "primary" }); + + return tags.slice(0, 3); // Max 3 tags + }; + + const tags = getTags(); + + // Default tags if none generated + if (tags.length === 0) { + tags.push({ text: "ECLECTIC", color: "primary" }); + tags.push({ text: "MYSTERIOUS", color: "accent-purple" }); + } + + return ( +
+ {/* Dynamic Background */} +
+ +
+ +

+ {persona} +

+ + +
+ {vibeCheck} +
+ +
+ {tags.map((tag, i) => ( + + {tag.text} + + ))} +
+
+
+ ); +}; + +export default NarrativeSection; diff --git a/frontend/src/components/StatsGrid.jsx b/frontend/src/components/StatsGrid.jsx new file mode 100644 index 0000000..0ea728b --- /dev/null +++ b/frontend/src/components/StatsGrid.jsx @@ -0,0 +1,99 @@ +import React from 'react'; + +const StatsGrid = ({ metrics }) => { + if (!metrics) return null; + + const totalMinutes = Math.round((metrics.volume?.estimated_minutes || 0)); + // Calculate days for the "That's X days straight" text + const daysListened = (totalMinutes / (24 * 60)).toFixed(1); + + const obsessionTrack = metrics.volume?.top_tracks?.[0]; + const obsessionName = obsessionTrack ? obsessionTrack.name : "N/A"; + const obsessionArtist = obsessionTrack ? obsessionTrack.artist : "N/A"; + const obsessionCount = obsessionTrack ? obsessionTrack.count : 0; + + // Fallback image if we don't have one (API currently doesn't seem to return it in top_tracks simple list) + // We'll use a nice gradient or abstract pattern + const obsessionImage = "https://images.unsplash.com/photo-1614613535308-eb5fbd3d2c17?q=80&w=2070&auto=format&fit=crop"; + + const newDiscoveries = metrics.volume?.unique_artists || 0; + + // Mocking the "Underground" percentage for now as it's not in the standard payload + // Could derive from popularity if available, but let's randomize slightly based on unique artists to make it feel dynamic + const undergroundScore = Math.min(95, Math.max(10, Math.round((newDiscoveries % 100)))); + + return ( +
+ {/* Card 1: Minutes Listened */} +
+
+ Minutes Listened + schedule +
+
+
{totalMinutes.toLocaleString()}
+
+ trending_up + That's {daysListened} days straight +
+
+
+ + {/* Card 2: Obsession Track */} +
+
+
+
+
+
+
+ OBSESSION +

{obsessionName}

+

{obsessionArtist}

+
+
+
{obsessionCount}
+
Plays this month
+
+
+
+
+ + {/* Card 3: New Discoveries & Mainstream Gauge */} +
+ {/* Discoveries */} +
+ visibility +
{newDiscoveries}
+
Unique Artists
+
+ + {/* Gauge */} +
+
+ + + + +
+ {undergroundScore}% +
+
+
Underground Certified
+
+
+
+ ); +}; + +export default StatsGrid; diff --git a/frontend/src/components/TopRotation.jsx b/frontend/src/components/TopRotation.jsx new file mode 100644 index 0000000..582287e --- /dev/null +++ b/frontend/src/components/TopRotation.jsx @@ -0,0 +1,46 @@ +import React from 'react'; + +const TopRotation = ({ volume }) => { + if (!volume || !volume.top_tracks) return null; + + // Use placeholder images since API doesn't return album art in the simple list yet + const placeHolderImages = [ + "https://images.unsplash.com/photo-1619983081563-430f63602796?q=80&w=1000&auto=format&fit=crop", + "https://images.unsplash.com/photo-1493225255756-d9584f8606e9?q=80&w=1000&auto=format&fit=crop", + "https://images.unsplash.com/photo-1470225620780-dba8ba36b745?q=80&w=1000&auto=format&fit=crop", + "https://images.unsplash.com/photo-1511671782779-c97d3d27a1d4?q=80&w=1000&auto=format&fit=crop", + "https://images.unsplash.com/photo-1514525253440-b393452e8d26?q=80&w=1000&auto=format&fit=crop" + ]; + + return ( +
+
+

Top Rotation

+
+ + +
+
+ +
+ {volume.top_tracks.slice(0, 5).map((track, i) => { + const name = track.name || track[0]; + const artist = track.artist || track[1]; + + return ( +
+
+

{name}

+

{artist}

+
+ ); + })} +
+
+ ); +}; + +export default TopRotation; diff --git a/frontend/src/components/VibeRadar.jsx b/frontend/src/components/VibeRadar.jsx new file mode 100644 index 0000000..2052aeb --- /dev/null +++ b/frontend/src/components/VibeRadar.jsx @@ -0,0 +1,93 @@ +import React from 'react'; +import { Radar, RadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis, ResponsiveContainer } from 'recharts'; + +const VibeRadar = ({ vibe }) => { + if (!vibe) return null; + + const data = [ + { subject: 'Acoustic', A: vibe.acousticness || 0, fullMark: 1 }, + { subject: 'Dance', A: vibe.danceability || 0, fullMark: 1 }, + { subject: 'Energy', A: vibe.energy || 0, fullMark: 1 }, + { subject: 'Instrumental', A: vibe.instrumentalness || 0, fullMark: 1 }, + { subject: 'Valence', A: vibe.valence || 0, fullMark: 1 }, + { subject: 'Live', A: vibe.liveness || 0, fullMark: 1 }, + ]; + + // Calculate mood percentages based on vibe metrics + const partyScore = Math.round(((vibe.energy + vibe.danceability) / 2) * 100); + const focusScore = Math.round(((vibe.instrumentalness + (1 - vibe.valence)) / 2) * 100); + const chillScore = Math.round(((vibe.acousticness + (1 - vibe.energy)) / 2) * 100); + + // Normalize to sum to 100 roughly (just for display) + const total = partyScore + focusScore + chillScore; + const partyPct = Math.round((partyScore / total) * 100); + const focusPct = Math.round((focusScore / total) * 100); + const chillPct = 100 - partyPct - focusPct; + + return ( +
+
+

+ fingerprint + Sonic DNA +

+
+ +
+ {/* Feature Radar */} +
+ + + + + + + + +
+ + {/* Mood Modes & Whiplash */} +
+ {/* Mood Bubbles */} +
+

Mood Clusters

+
+
+ Party
{partyPct}% +
+
+ Focus
{focusPct}% +
+
+ Chill
{chillPct}% +
+
+
+ + {/* Whiplash Meter */} +
+
+

Whiplash Meter

+ HIGH VOLATILITY +
+
+ {/* Fake waveform */} + + + +
+
+
+
+
+ ); +}; + +export default VibeRadar; diff --git a/frontend/src/index.css b/frontend/src/index.css index 08a3ac9..cd802d0 100644 --- a/frontend/src/index.css +++ b/frontend/src/index.css @@ -1,68 +1,88 @@ -:root { - font-family: system-ui, Avenir, Helvetica, Arial, sans-serif; - line-height: 1.5; - font-weight: 400; +@tailwind base; +@tailwind components; +@tailwind utilities; - color-scheme: light dark; - color: rgba(255, 255, 255, 0.87); - background-color: #242424; - - font-synthesis: none; - text-rendering: optimizeLegibility; - -webkit-font-smoothing: antialiased; - -moz-osx-font-smoothing: grayscale; +/* Custom Utilities from code.html */ +.glass-panel { + background: rgba(24, 34, 52, 0.6); + backdrop-filter: blur(12px); + -webkit-backdrop-filter: blur(12px); + border: 1px solid rgba(255, 255, 255, 0.08); } -a { - font-weight: 500; - color: #646cff; - text-decoration: inherit; -} -a:hover { - color: #535bf2; +.holographic-badge { + background: linear-gradient(135deg, rgba(255, 255, 255, 0.1) 0%, rgba(255, 255, 255, 0.05) 100%); + box-shadow: 0 0 20px rgba(37, 106, 244, 0.3), inset 0 0 0 1px rgba(255, 255, 255, 0.2); + backdrop-filter: blur(8px); + position: relative; + overflow: hidden; } -body { - margin: 0; - display: flex; - place-items: center; - min-width: 320px; - min-height: 100vh; +.holographic-badge::before { + content: ""; + position: absolute; + top: -50%; + left: -50%; + width: 200%; + height: 200%; + background: linear-gradient(45deg, transparent, rgba(255, 255, 255, 0.1), transparent); + transform: rotate(45deg); + animation: holo-shine 3s infinite linear; } -h1 { - font-size: 3.2em; - line-height: 1.1; +@keyframes holo-shine { + 0% { + transform: translateX(-100%) rotate(45deg); + } + 100% { + transform: translateX(100%) rotate(45deg); + } } -button { - border-radius: 8px; - border: 1px solid transparent; - padding: 0.6em 1.2em; - font-size: 1em; - font-weight: 500; - font-family: inherit; - background-color: #1a1a1a; - cursor: pointer; - transition: border-color 0.25s; -} -button:hover { - border-color: #646cff; -} -button:focus, -button:focus-visible { - outline: 4px auto -webkit-focus-ring-color; +.typing-cursor::after { + content: "|"; + animation: blink 1s step-end infinite; } -@media (prefers-color-scheme: light) { - :root { - color: #213547; - background-color: #ffffff; - } - a:hover { - color: #747bff; - } - button { - background-color: #f9f9f9; - } +@keyframes blink { + 50% { + opacity: 0; + } +} + +.mood-gradient { + background: radial-gradient(circle at 50% 50%, rgba(37, 106, 244, 0.15), transparent 70%), radial-gradient(circle at 80% 20%, rgba(139, 92, 246, 0.1), transparent 50%); +} + +/* Hide scrollbar for carousel */ +.no-scrollbar::-webkit-scrollbar { + display: none; +} + +.no-scrollbar { + -ms-overflow-style: none; + scrollbar-width: none; +} + +.radar-grid circle { + fill: none; + stroke: #334155; + stroke-width: 1; +} + +.radar-grid line { + stroke: #334155; + stroke-width: 1; +} + +.radar-area { + fill: rgba(37, 106, 244, 0.3); + stroke: #256af4; + stroke-width: 2; +} + +/* Paper texture */ +.paper-texture { + background-color: #f0f0f0; + background-image: url(https://lh3.googleusercontent.com/aida-public/AB6AXuCxWgGFi3y5uU1Eo5AvX4bBjCZyqH_y2JcjejnbTD6deIOvWk3bplb-Bj1oFuS3P1LlYkmdnJOUkNL9g9L4yQd3Otfcz6qhp7psxQQqPTkZwV4myWl1ZoEp3ZQfBGYSI-nJnwMpWmwB1uO75co2eIFngOJE3Rn6JmLO_nOUKGhsut6iWdt_LKijBTH7SilsOX7HWTXfekHR2CwuUs4LJ6LkTMCVXS3R-aQTNfmsza_6PcRn40PTaBYS90sY9xtDPFcfgS2vzgPmPDZ6); } diff --git a/frontend/src/main.jsx b/frontend/src/main.jsx index c099868..3329849 100644 --- a/frontend/src/main.jsx +++ b/frontend/src/main.jsx @@ -1,6 +1,7 @@ import React from 'react' import ReactDOM from 'react-dom/client' import App from './App.jsx' +import './index.css'; import { ConfigProvider, theme } from 'antd'; ReactDOM.createRoot(document.getElementById('root')).render( diff --git a/frontend/tailwind.config.js b/frontend/tailwind.config.js new file mode 100644 index 0000000..19841a1 --- /dev/null +++ b/frontend/tailwind.config.js @@ -0,0 +1,34 @@ +/** @type {import('tailwindcss').Config} */ +export default { + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + darkMode: "class", + safelist: [ + 'bg-primary/20', 'text-primary', 'border-primary/20', + 'bg-accent-purple/20', 'text-accent-purple', 'border-accent-purple/20', + 'bg-accent-neon/20', 'text-accent-neon', 'border-accent-neon/20', + ], + theme: { + extend: { + colors: { + "primary": "#256af4", + "background-light": "#f5f6f8", + "background-dark": "#101622", + "card-dark": "#182234", + "card-darker": "#111927", + "accent-neon": "#0bda5e", + "accent-purple": "#8b5cf6", + }, + fontFamily: { + "display": ["Space Grotesk", "sans-serif"], + "mono": ["Space Grotesk", "monospace"], + }, + backgroundImage: { + 'gradient-radial': 'radial-gradient(var(--tw-gradient-stops))', + } + }, + }, + plugins: [], +}