tmp

libResolver.py

@@ -0,0 +1,97 @@
+import common
+import os
+import fnmatch
+import json
+from fuzzywuzzy import fuzz
+
+
+def get_local_library(root_dir):
+    music_extensions = ('*.mp3', '*.flac', '*.wav', '*.aac', '*.ogg', '*.m4a')
+    music_files_map = {}
+    for dir_path, dir_names, filenames in os.walk(root_dir):
+        for pattern in music_extensions:
+            for filename in fnmatch.filter(filenames, pattern):
+                song_name = os.path.splitext(filename)[0]
+                relative_path = os.path.relpath(os.path.join(dir_path, filename), root_dir)
+                music_files_map[song_name] = relative_path
+    return music_files_map
+
+
+def get_matched(pattern, patterns):
+    result = {}
+    for target_pattern in patterns:
+        similarity_score = fuzz.token_set_ratio(pattern, target_pattern)
+        result[target_pattern] = similarity_score / 100
+
+    sorted_results = sorted(result.items(), key=lambda item: item[1], reverse=True)
+    return sorted_results
+
+
+def resolve_tracks(source_patterns, target_patterns):
+    from tqdm import tqdm
+
+    pattern_map = {}
+
+    total = len(source_patterns)
+    with tqdm(total=total, desc='Progress') as pbar:
+        for pattern in source_patterns:
+            res = get_matched(pattern, target_patterns)
+            matched = {"score": 0, "items": []}
+            if len(res) and res[0][1] > 0.9:
+                matched['items'] = res[0:min(len(res), 2)]
+                matched['score'] = res[0][1]
+            pattern_map[pattern] = matched
+            pbar.update(1)
+
+    return pattern_map
+
+
+def resolver1(local_library):
+    track_descriptions = common.get_data("tracks")
+
+    source_patterns = []
+    for track in track_descriptions:
+        artists = common.get_artists_str(track['track']['artists'])
+        pattern = f"{track['track']['name']} {artists}"
+        source_patterns.append(pattern)
+
+    target_patterns = [local for _, local in local_library.items()]
+
+    pattern_map = resolve_tracks(source_patterns, target_patterns)
+
+    with open('prefetched/resolved.json', 'w') as file:
+        json.dump(pattern_map, file, indent=2)
+
+
+def resolver2(local_library):
+    found_tracks = common.get_data("local_library_on_spotify")
+    track_descriptions = common.get_data("tracks")
+
+    user_tracks_ids = {track['track']['id']: track for track in track_descriptions}
+
+    resolved_map = {}
+
+    for name, found in found_tracks.items():
+        if not len(found):
+            continue
+        track_id = found[0]['id']
+        if track_id in user_tracks_ids:
+            resolved_map[name] = track_id
+
+    with open('prefetched/resolved2.json', 'w') as file:
+        json.dump(resolved_map, file, indent=2)
+
+def resolve(root_directory):
+    local_library = get_local_library(root_directory)
+    with open('prefetched/local_library.json', 'w') as file:
+        json.dump(local_library, file, indent=2)
+
+    resolver2(local_library)
+
+
+if __name__ == "__main__":
+    # root_directory = "/mnt/main/data/music/raw"
+    #root_directory = input("root: ")
+    resolve("/mnt/main/data/music/raw")
+
+