spotify: resilient fetching, progress bars, venv launcher
- fetch() uses a retrying session (connection resets, 5xx, 429 Retry-After) with backoff, so a transient drop mid-fetch no longer aborts the run. - tqdm progress bars on all paginated fetches (driven by paging `total`). - Flow.fetch_spotify(): drop stray `self` from the @staticmethod. - gui.sh runs the venv's streamlit from the script dir; add requirements.txt. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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parent
16b55b0674
commit
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5 changed files with 71 additions and 26 deletions
2
Flow.py
2
Flow.py
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@ -26,7 +26,7 @@ class Flow:
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itunes_library : Library = None
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itunes_library : Library = None
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@staticmethod
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@staticmethod
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def fetch_spotify(self):
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def fetch_spotify():
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fetch_all(client_id, client_secret, work_dir)
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fetch_all(client_id, client_secret, work_dir)
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@staticmethod
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@staticmethod
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6
gui.sh
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gui.sh
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@ -1 +1,5 @@
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streamlit run Gui.py
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#!/usr/bin/env bash
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# Run from the script's directory using the project virtualenv,
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# so it works regardless of whether the venv is activated / on PATH.
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cd "$(dirname "$0")"
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exec .venv/bin/streamlit run Gui.py "$@"
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12
main.py
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main.py
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@ -17,17 +17,17 @@ def test1():
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def main():
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def main():
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flow = Flow.Flow()
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flow = Flow.Flow()
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# flow.fetch_spotify()
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flow.fetch_spotify()
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# flow.fetch_local()
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# flow.fetch_local()
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flow.parse_spotify_library()
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flow.parse_spotify_library()
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flow.parse_itunes_library()
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#flow.parse_itunes_library()
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flow.parse_local_library()
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#flow.parse_local_library()
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flow.load_libraries()
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#flow.load_libraries()
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flow.map_local_to_spotify()
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#flow.map_local_to_spotify()
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flow.save_libraries()
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#flow.save_libraries()
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# flow.log_stats()
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# flow.log_stats()
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9
requirements.txt
Normal file
9
requirements.txt
Normal file
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@ -0,0 +1,9 @@
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streamlit==1.58.0
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streamlit-aggrid==1.2.1.post2
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pandas==3.0.3
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Pillow==12.2.0
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mutagen==1.47.0
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rapidfuzz==3.14.5
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requests==2.34.2
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tqdm==4.68.2
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xmltodict==1.0.4
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@ -1,7 +1,10 @@
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import requests
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import requests
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import urllib.parse
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import urllib.parse
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from requests.adapters import HTTPAdapter
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from urllib3.util.retry import Retry
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from PIL import Image
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from PIL import Image
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from io import BytesIO
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from io import BytesIO
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from tqdm import tqdm
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from src.backends.spotify.SpotifyAuthenticator import authenticate
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from src.backends.spotify.SpotifyAuthenticator import authenticate
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@ -9,6 +12,31 @@ from src.helpers import *
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FETCH_STEP = 50
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FETCH_STEP = 50
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token = ''
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token = ''
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REQUEST_TIMEOUT = 30
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def _build_session():
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"""Session that retries transient failures (dropped connections, 5xx) and
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honours Spotify's 429 Retry-After, so a single reset mid-fetch doesn't
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abort the whole run."""
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session = requests.Session()
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retry = Retry(
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total=6,
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connect=6,
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read=6,
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backoff_factor=1.5, # sleeps ~0, 1.5, 3, 6, 12, 24s between attempts
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status_forcelist=(429, 500, 502, 503, 504),
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allowed_methods=frozenset({"GET", "POST"}),
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respect_retry_after_header=True,
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raise_on_status=False,
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)
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adapter = HTTPAdapter(max_retries=retry)
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session.mount("https://", adapter)
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session.mount("http://", adapter)
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return session
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_session = _build_session()
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def fetch(endpoint, method='GET', body=None):
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def fetch(endpoint, method='GET', body=None):
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@ -17,19 +45,23 @@ def fetch(endpoint, method='GET', body=None):
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'Authorization': f'Bearer {token}',
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'Authorization': f'Bearer {token}',
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}
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}
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response = requests.request(method, url, headers=headers, json=body)
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response = _session.request(method, url, headers=headers, json=body, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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response.raise_for_status()
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return response.json()
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return response.json()
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def fetch_paginated(endpoint):
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def fetch_paginated(endpoint, desc="Fetching", leave=True):
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"""Collect every item of a paging object by following its `next` field,
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"""Collect every item of a paging object by following its `next` field,
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which is Spotify's recommended way to page (more robust than tracking
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which is Spotify's recommended way to page (more robust than tracking
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offset/total manually)."""
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offset/total manually). Shows a tqdm progress bar driven by the paging
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object's `total`."""
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items = []
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items = []
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page = fetch(endpoint)
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page = fetch(endpoint)
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with tqdm(total=page.get('total'), desc=desc, unit="item", leave=leave) as pbar:
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while True:
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while True:
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items += page.get('items', [])
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batch = page.get('items', [])
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items += batch
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pbar.update(len(batch))
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next_url = page.get('next')
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next_url = page.get('next')
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if not next_url:
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if not next_url:
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break
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break
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@ -43,31 +75,31 @@ def find_song(song_pattern):
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def fetch_playlists(user_id):
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def fetch_playlists(user_id):
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print("Fetching playlists")
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return fetch_paginated(f"v1/me/playlists?limit={FETCH_STEP}", desc="Fetching playlists")
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return fetch_paginated(f"v1/me/playlists?limit={FETCH_STEP}")
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def fetch_playlist_items(playlist_id):
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def fetch_playlist_items(playlist_id):
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return fetch_paginated(f"v1/playlists/{playlist_id}/tracks?limit={FETCH_STEP}")
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return fetch_paginated(
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f"v1/playlists/{playlist_id}/tracks?limit={FETCH_STEP}",
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desc="Fetching playlist tracks",
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leave=False,
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)
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def fetch_tracks(user_id):
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def fetch_tracks(user_id):
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print("Fetching tracks")
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tracks = fetch_paginated(f"v1/me/tracks?limit={FETCH_STEP}&market=ES", desc="Fetching liked tracks")
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tracks = fetch_paginated(f"v1/me/tracks?limit={FETCH_STEP}&market=ES")
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save_data(tracks, "tracks")
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save_data(tracks, "tracks")
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return tracks
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return tracks
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def fetch_tracks_top():
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def fetch_tracks_top():
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print("Fetching top tracks")
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tracks = fetch_paginated(f"v1/me/top/tracks?limit={FETCH_STEP}&time_range=long_term", desc="Fetching top tracks")
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tracks = fetch_paginated(f"v1/me/top/tracks?limit={FETCH_STEP}&time_range=long_term")
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save_data(tracks, "top_tracks")
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save_data(tracks, "top_tracks")
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return tracks
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return tracks
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def fetch_artists_top():
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def fetch_artists_top():
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print("Fetching top artists")
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artists = fetch_paginated(f"v1/me/top/artists?limit={FETCH_STEP}&time_range=long_term", desc="Fetching top artists")
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artists = fetch_paginated(f"v1/me/top/artists?limit={FETCH_STEP}&time_range=long_term")
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save_data(artists, "top_artists")
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save_data(artists, "top_artists")
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return artists
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return artists
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