Remove hardcoded credentials; read them from the environment
- Env.py now reads SPOTIFY_CLIENT_ID/SPOTIFY_CLIENT_SECRET (and optional path overrides) from the environment instead of hardcoding them. - Add .env.example and ignore .env / .venv. - Rewrite README with setup, usage and layout (drops the leaked secret). Note: secrets are also purged from prior history in this push. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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4 changed files with 121 additions and 7 deletions
9
.env.example
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.env.example
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# Copy to `.env` and fill in, then `source .env` before running.
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# Get these from https://developer.spotify.com/dashboard (your app's settings).
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# Register `http://127.0.0.1:8888` as a Redirect URI in that app.
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export SPOTIFY_CLIENT_ID=your_client_id_here
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export SPOTIFY_CLIENT_SECRET=your_client_secret_here
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# Optional overrides:
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# export MUSIC_LIBRARY_PATH=~/Music
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# export WORK_DIR=./work_dir/new
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2
.gitignore
vendored
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.gitignore
vendored
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@ -2,6 +2,8 @@ prefetched*
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__pycache__
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__pycache__
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.idea
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.idea
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secret
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secret
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.env
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.venv
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work_dir
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work_dir
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old
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old
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tmp
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tmp
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14
Env.py
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Env.py
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import os
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from pathlib import Path
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from pathlib import Path
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local_library_path = Path("/home/auser/Music/")
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# Local config. Paths can be overridden via environment variables.
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work_dir = Path("./work_dir/new")
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local_library_path = Path(os.environ.get("MUSIC_LIBRARY_PATH", "~/Music")).expanduser()
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work_dir = Path(os.environ.get("WORK_DIR", "./work_dir/new"))
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client_id = '***REDACTED***'
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# Spotify app credentials. NEVER hardcode these here — set them in the
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client_secret = "***REDACTED***"
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# environment (see .env.example) so they don't end up in version control.
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# export SPOTIFY_CLIENT_ID=...
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# export SPOTIFY_CLIENT_SECRET=...
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client_id = os.environ.get("SPOTIFY_CLIENT_ID")
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client_secret = os.environ.get("SPOTIFY_CLIENT_SECRET")
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103
README.md
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README.md
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# spotifyFetcher
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# MusicIndexer
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loads all data through web api<br>
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client secret - ***REDACTED***
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Pull your Spotify library and listening stats via the Spotify Web API, index a
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local music library (audio tags + iTunes XML), and match the two so you can see
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which tracks you own, what's missing, and your top artists/tracks/playlists — in
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a Streamlit GUI.
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## Features
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- **Spotify backend** — OAuth (Authorization Code) login, then fetch the user
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profile, liked tracks, all playlists and their tracks, long-term top tracks
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and top artists, and playlist/profile cover art. Resilient paginated fetching
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(follows `next`, retries dropped connections, honours `429` rate limits) with
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progress bars.
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- **Local backend** — index a folder of audio files via `mutagen` tags.
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- **iTunes backend** — parse an iTunes Library XML export.
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- **Matching** — map local tracks to Spotify tracks (fuzzy matcher; ISRC/MBID
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matching planned).
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- **Stats & lyrics** — generate listening stats and fetch lyrics.
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- **GUI** — browse libraries as artist → album → track tables.
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## Setup
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Requires Python 3.13+.
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```bash
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python -m venv .venv
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source .venv/bin/activate
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pip install -r requirements.txt
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```
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### Credentials
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Create an app at https://developer.spotify.com/dashboard and add
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`http://127.0.0.1:8888` as a **Redirect URI**. Credentials are read from the
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environment — never commit them.
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```bash
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cp .env.example .env
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# edit .env with your client id/secret
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source .env
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```
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`Env.py` reads `SPOTIFY_CLIENT_ID` / `SPOTIFY_CLIENT_SECRET` (plus optional
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`MUSIC_LIBRARY_PATH` and `WORK_DIR`) from the environment.
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## Usage
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Edit `main.py` to uncomment the steps you want, then run:
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```bash
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python main.py
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```
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The flow steps (see `Flow.py`) include:
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| Step | What it does |
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|------|--------------|
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| `fetch_spotify()` | OAuth login + download all Spotify data into `work_dir/spotify/` |
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| `fetch_local()` | index local audio files into `work_dir/local/` |
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| `parse_spotify_library()` / `parse_itunes_library()` / `parse_local_library()` | build normalized libraries |
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| `load_libraries()` / `save_libraries()` | (de)serialize libraries to `work_dir` |
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| `map_local_to_spotify()` | match local tracks against the Spotify library |
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| `fetch_and_save_lyrics()` | fetch lyrics for tracks |
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| `log_stats()` | generate stats |
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On first `fetch_spotify()` a browser opens for the Spotify login; a local server
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on `127.0.0.1:8888` catches the redirect and exchanges the code for a token.
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### GUI
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```bash
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./gui.sh # runs: .venv/bin/streamlit run Gui.py
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```
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## Layout
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```
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main.py entry point (CLI flow)
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Gui.py / gui.sh Streamlit GUI
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Flow.py orchestrates fetch / parse / map / stats
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Env.py config (reads credentials from the environment)
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src/
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Library.py data model (Library / Artist / Album / Track)
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LibrarySerializer.py load/save libraries
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backends/
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spotify/ Web API client, OAuth, parser
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local/ local-file indexer, parser, playlist generator
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itunes/ iTunes XML parser
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navidrome/ Navidrome backend
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mappers/ local↔Spotify matching (fuzzy / search)
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lyrics/ lyrics fetching
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work_dir/ fetched data and serialized libraries (gitignored)
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```
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## Notes
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- Data is cached as JSON under `work_dir/` (gitignored); re-running reuses it.
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- The deprecated Spotify endpoints (audio-features, recommendations, etc.) are
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not used — only currently-supported endpoints.
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