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| Author | SHA1 | Date | |
|---|---|---|---|
| 02549e5618 | |||
| 3b7bae0a38 | |||
| 041cba8224 | |||
| 729555acc3 | |||
| f3f580f923 |
178
api.py
178
api.py
@@ -17,13 +17,15 @@
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# $ while sleep 1; do diff -q api.py /tmp/api.py; if [ $? -ne 0 ]; then scp api.py lockstep@api.lockstep.at:/var/sites/api.lockstep.at/; cp api.py /tmp/api.py; fi; done
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import os
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import re
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import sqlite3
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from base64 import b64encode
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from datetime import datetime, timedelta, timezone
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import json
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from functools import wraps
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from urllib.parse import urlencode
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from flask import Flask, request, session, jsonify, make_response, redirect, url_for
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from flask import Flask, g, request, session, jsonify, make_response, redirect, url_for
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from werkzeug.middleware.proxy_fix import ProxyFix
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from authomatic import Authomatic
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from authomatic.adapters import WerkzeugAdapter
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@@ -114,6 +116,7 @@ ALLOWED_SPOTIFY_APP_POST_LOGIN_REDIRECT = os.environ.get(
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)
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DB_PATH = os.environ.get("TOKEN_DB_PATH", "spotify_tokens.db")
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METADATA_UPLOAD_DIR = os.environ.get("METADATA_UPLOAD_DIR", "uploaded_collections")
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app = Flask(__name__)
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app.secret_key = os.environ["FLASK_SECRET_KEY"]
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@@ -156,6 +159,17 @@ def init_db():
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updated_at TEXT NOT NULL
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)
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""")
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conn.execute("""
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CREATE TABLE IF NOT EXISTS uploaded_metadata (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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spotify_user_id TEXT NOT NULL,
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track_id TEXT NOT NULL,
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type TEXT NOT NULL,
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version INTEGER NOT NULL,
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file_name TEXT NOT NULL,
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created_at TEXT NOT NULL
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)
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""")
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conn.commit()
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conn.close()
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@@ -629,28 +643,59 @@ old example 1:
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}
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"""
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@app.route("/me")
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def me():
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def spotify_access_token_from_authorization_header():
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auth = request.headers.get("Authorization", "") or ""
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if not auth.startswith("Bearer "):
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return None
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token = auth[7:].strip()
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return token or None
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def get_request_spotify_access_token():
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"""
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Prefer ``Authorization: Bearer <access_token>`` (mobile / jukebox).
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Fallback to Flask session + stored refresh flow (browser).
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"""
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bearer = spotify_access_token_from_authorization_header()
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if bearer:
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return bearer
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spotify_user_id = session.get("spotify_user_id")
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if not spotify_user_id:
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return jsonify({"ok": False, "error": "Not logged in"}), 401
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return None
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return get_valid_access_token(spotify_user_id)
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access_token = get_valid_access_token(spotify_user_id)
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def require_auth(f):
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@wraps(f)
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def wrapped(*args, **kwargs):
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token = get_request_spotify_access_token()
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if not token:
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return jsonify({"ok": False, "error": "Not logged in"}), 401
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g.spotify_access_token = token
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return f(*args, **kwargs)
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return wrapped
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@app.route("/me")
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@require_auth
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def me():
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access_token = g.spotify_access_token
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profile = spotify_get_me(access_token)
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row = get_token_record(spotify_user_id)
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row = get_token_record(profile["id"])
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return jsonify({
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"ok": True,
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"profile": profile,
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"stored_expires_at": row["expires_at"],
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"stored_expires_at": row["expires_at"] if row else None,
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})
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@app.route("/playlists")
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@require_auth
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def playlists():
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access_token = get_request_spotify_access_token()
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if not access_token:
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return jsonify({"ok": False, "error": "Not logged in"}), 401
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access_token = g.spotify_access_token
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"""
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user_id = "Sara"
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@@ -670,10 +715,9 @@ def playlists():
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@app.route("/playlists/<playlist_id>")
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@require_auth
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def playlist(playlist_id):
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access_token = get_request_spotify_access_token()
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if not access_token:
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return jsonify({"ok": False, "error": "Not logged in"}), 401
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access_token = g.spotify_access_token
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playlist_data = spotify_get(
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f"https://api.spotify.com/v1/playlists/{playlist_id}",
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@@ -709,26 +753,98 @@ def playlist(playlist_id):
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})
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def get_request_spotify_access_token():
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"""
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Prefer ``Authorization: Bearer <access_token>`` (mobile / jukebox).
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Fallback to Flask session + stored refresh flow (browser).
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"""
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bearer = spotify_access_token_from_authorization_header()
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if bearer:
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return bearer
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spotify_user_id = session.get("spotify_user_id")
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if not spotify_user_id:
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return None
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return get_valid_access_token(spotify_user_id)
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@app.route("/metadata", methods=["GET"])
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@require_auth
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def get_metadata():
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track_id = request.args.get("trackId")
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meta_type = request.args.get("type", "beats")
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if not track_id:
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return jsonify({"ok": False, "error": "Missing trackId"}), 400
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access_token = g.spotify_access_token
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profile = spotify_get_me(access_token)
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spotify_user_id = profile["id"]
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conn = db()
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row = conn.execute("""
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SELECT file_name FROM uploaded_metadata
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WHERE spotify_user_id = ? AND track_id = ? AND type = ?
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ORDER BY created_at DESC
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LIMIT 1
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""", (spotify_user_id, track_id, meta_type)).fetchone()
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conn.close()
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if not row:
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return jsonify({"ok": False, "error": "Not found"}), 404
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file_path = os.path.join(METADATA_UPLOAD_DIR, row["file_name"])
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if not os.path.isfile(file_path):
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return jsonify({"ok": False, "error": "Not found"}), 404
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with open(file_path, "r", encoding="utf-8") as f:
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collection = json.load(f)
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if not isinstance(collection, dict):
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return jsonify({"ok": False, "error": "Invalid metadata file"}), 500
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return jsonify({"ok": True, "collection": collection})
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def spotify_access_token_from_authorization_header():
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auth = request.headers.get("Authorization", "") or ""
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if not auth.startswith("Bearer "):
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return None
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token = auth[7:].strip()
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return token or None
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@app.route("/metadata", methods=["POST"])
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@require_auth
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def upload_metadata():
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access_token = g.spotify_access_token
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if not request.is_json:
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return jsonify({"ok": False, "error": "Expected application/json"}), 400
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body = request.get_json(silent=True)
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if not isinstance(body, dict):
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return jsonify({"ok": False, "error": "Invalid JSON body"}), 400
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track_id = body.get("trackId")
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meta_type = body.get("type")
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version = body.get("version")
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collection = body.get("collection")
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if not track_id or not meta_type or version is None or collection is None:
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return jsonify({
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"ok": False,
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"error": "Missing trackId, type, version, or collection",
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}), 400
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try:
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version = int(version)
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except (TypeError, ValueError):
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return jsonify({"ok": False, "error": "version must be an integer"}), 400
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if not isinstance(collection, dict):
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return jsonify({"ok": False, "error": "collection must be a JSON object"}), 400
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profile = spotify_get_me(access_token)
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spotify_user_id = profile["id"]
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os.makedirs(METADATA_UPLOAD_DIR, exist_ok=True)
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ts = datetime.now(timezone.utc).strftime("%Y%m%dT%H%M%S%fZ")
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safe_track = re.sub(r"[^\w\-]", "_", str(track_id))[:120]
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file_name = f"{spotify_user_id}_{safe_track}_{meta_type}_{version}_{ts}.json"
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file_path = os.path.join(METADATA_UPLOAD_DIR, file_name)
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with open(file_path, "w", encoding="utf-8") as f:
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json.dump(collection, f, ensure_ascii=False)
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now = datetime.now(timezone.utc).isoformat()
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conn = db()
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conn.execute("""
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INSERT INTO uploaded_metadata (
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spotify_user_id, track_id, type, version, file_name, created_at
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) VALUES (?, ?, ?, ?, ?, ?)
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""", (spotify_user_id, track_id, meta_type, version, file_name, now))
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conn.commit()
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conn.close()
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return jsonify({"ok": True, "file_name": file_name}), 201
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if __name__ == "__main__":
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16
beat.py
16
beat.py
@@ -1,5 +1,6 @@
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import numpy as np
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import matplotlib.pyplot as plt # for debug only
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from sqi import gauss
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# note: may be called ZxingDetector instead?
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class SsfZxing:
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@@ -161,14 +162,27 @@ class RegularBeatFinder:
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num_freqs = 200 #: number of freq steps to evaluate
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range_f1 = 0.5 #: lowest detection frequency in Hz
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range_f2 = 4.0 #: highest detection frequency in Hz
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f_bias_width = 0.2 #: gaussian std relative to num_freqs within f1..f2
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def __init__(self): pass
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def find_beat(self, fs, ssf_zxings, debug_fe=False, debug_i=None):
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def find_beat(self, fs, ssf_zxings, f_hint=None, debug_fe=False, debug_i=None):
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"""Find the optimal beat frequency."""
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act_ibis = np.diff(ssf_zxings)
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# nice-to: may be interesting to also use as score: the ssf amplitude info at the beats to which we aligned
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# evaluate mean absolute errors for all frequencies
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freqs, freq_errs = self._get_opt_ibi_freq_2(fs, act_ibis, debug_i)
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# bias with f_hint - once we know the beat freq, make it more likely for it to be found everywhere
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if f_hint is not None:
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nf, f1, f2 = RegularBeatFinder.num_freqs, RegularBeatFinder.range_f1, RegularBeatFinder.range_f2
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bias = gauss(
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nf,
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(f_hint - f1) / (f2 - f1) * nf,
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RegularBeatFinder.f_bias_width * nf
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)
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freqs_bias = 1.0 / (np.max(bias)+bias) # make 'f_hint' at most 2x more likely -- (1+bias) if normalized
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freq_errs *= freqs_bias
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#
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if debug_fe:
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plt.figure(figsize=(8,2))
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plt.plot(freqs, freq_errs)
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38
song.py
38
song.py
@@ -8,8 +8,9 @@ from sqi import gauss, shift
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class SongBeatDetector:
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SEGMENT_SLICE_LEN_SEC = 8.0 #: slice length for processing (long enough to contain bar structure; short enough for a constant freq. beat placement)
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SSF_REL_THRES = 1.5 #: optimize for slope of error (mae) function over beat frequency
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NE_THRES = 30.0 #: normalized error threshold for 'good' slices
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def __init__(self): pass
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def detect(self, fs, sig, debug_fe_idx=None):
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def detect(self, fs, sig, use_f_hint=True, debug_fe_idx=None):
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self.fs = fs
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#self.sig = sig
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@@ -31,10 +32,27 @@ class SongBeatDetector:
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# we segment on 'guitar' info, but process 'bass' later
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seg_sl = int(SongBeatDetector.SEGMENT_SLICE_LEN_SEC * fsd)
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if use_f_hint:
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# initial estimate (without 'f_hint')
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zds_initial = self._estimate_segments(debug_fe_idx=None)
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self.zds_initial = zds_initial
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ifbs_good = np.array([zdd['ne'] < SongBeatDetector.NE_THRES for zdd in zds_initial])
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fbs = np.array([zdd['fb'] for zdd in zds_initial])[np.where(ifbs_good)[0]]
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bins, hfreq = np.histogram(fbs)
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ih = np.argmax(bins)
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self.f_hint = np.mean((hfreq[ih], hfreq[ih+1])) # center freq of bin
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else:
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self.f_hint = None
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self.zds = []
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# actual estimate (using 'f_hint' to bias each segment)
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self.zds = self._estimate_segments(f_hint=self.f_hint, debug_fe_idx=debug_fe_idx)
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return self.zds
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def _estimate_segments(self, f_hint=None, debug_fe_idx=None):
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zds = []
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fsd = self.fsd
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seg_sl = int(SongBeatDetector.SEGMENT_SLICE_LEN_SEC * fsd) # segment slice length in 1/fsd units
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# for each segment
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for i in np.arange(self.i_seg.shape[0]-1):
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i1, i2 = self.i_seg[i], self.i_seg[i+1]
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@@ -52,17 +70,16 @@ class SongBeatDetector:
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debug_fe = i1 <= debug_fe_sidx < i2
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else:
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debug_fe = False
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zdd = self._process_slice(j1, j2, m, seg_sl, sig_slice, debug_fe=debug_fe)
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self.zds.append(zdd)
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zdd = self._process_slice(j1, j2, m, sig_slice, f_hint=f_hint, debug_fe=debug_fe)
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zds.append(zdd)
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return self.zds
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return zds
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def _process_slice(self, j1, j2, m, seg_sl, sig_slice, debug_fe=False):
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def _process_slice(self, j1, j2, m, sig_slice, f_hint=None, debug_fe=False):
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"""
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:param j1: lower index into 'sig_slice'
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:param j2: upper index into 'sig_slice'
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:param m: slice number (used to check if debugging)
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:param seg_sl: segment slice length in 1/fsd units
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:param debug_fe: show plots for SSF and raw/reg beat placement
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"""
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# TODO: C++ impl of SsfZxing._ssf_det_zxings() has diverged.
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@@ -71,7 +88,8 @@ class SongBeatDetector:
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# - ?? others ??
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# NOTE: SsfZxing here is always getting short 8-sec slices only (nb. for 'ssf_th' comput.)
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fsd = self.fsd #: reciprocal window step size
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fsd = self.fsd # reciprocal window step size
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seg_sl = int(SongBeatDetector.SEGMENT_SLICE_LEN_SEC * fsd) # segment slice length in 1/fsd units
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SsfZxing.ssf_rel_thres = SongBeatDetector.SSF_REL_THRES
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zd = SsfZxing()
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@@ -100,7 +118,7 @@ class SongBeatDetector:
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# nice-to: optimize phase, (maybe iteratively, optimize phase and freq each)
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bf = RegularBeatFinder()
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fb, ne = bf.find_beat(fsd, ssf_zxings, debug_fe=debug_fe, debug_i=None)
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fb, ne = bf.find_beat(fsd, ssf_zxings, f_hint=f_hint, debug_fe=debug_fe, debug_i=None)
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if debug_fe: plt.title(f'regular-beat placement error (mae), slice [{j1}:{j2}]')
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# mae is unnurmalized here, as returned from RegularBeatFinder._get_opt_ibi_freq_2()
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zdd.update({
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Reference in New Issue
Block a user