catched exception that occured on an internal server error at musify

src/download.py

@@ -32,7 +32,6 @@ def write_metadata(row, file_path):
 
     for key in list(row.keys()):
         if type(row[key]) == list or key in valid_keys and not pd.isna(row[key]):
-            # print(key)
             if type(row[key]) == int or type(row[key]) == float:
                 row[key] = str(row[key])
             audiofile[key] = row[key]
@@ -72,11 +71,17 @@ class Download:
                 write_metadata(row, row['file'])
                 continue
 
+            download_success = None
             src = row['src']
             if src == 'musify':
-                musify.download(row)
+                download_success = musify.download(row)
             elif src == 'youtube':
-                youtube_music.download(row)
+                download_success = youtube_music.download(row)
+
+            if download_success == -1:
+                logging.warning(f"couldn't download {row.url} from {row.src}")
+                continue
+
             write_metadata(row, row['file'])
 
 

src/download_links.py

@@ -18,20 +18,20 @@ class Download:
 
         for idx, row in self.metadata.iterrows():
             row['artist'] = json.loads(row['artist'].replace("'", '"'))
-            
+
             # check musify
             musify_url = musify.get_musify_url(row)
             if musify_url is not None:
                 self.add_url(musify_url, 'musify', dict(row))
                 continue
 
-            # check youtube
+            # check YouTube
             youtube_url = youtube_music.get_youtube_url(row)
             if youtube_url is not None:
                 self.add_url(youtube_url, 'youtube', dict(row))
                 continue
 
-            # check musify again, but with a diffrent methode that takes longer
+            # check musify again, but with a different methode that takes longer
             musify_url = musify.get_musify_url_slow(row)
             if musify_url is not None:
                 self.add_url(musify_url, 'musify', dict(row))
@@ -40,7 +40,6 @@ class Download:
             logging.warning(f"Didn't find any sources for {row['title']}")
 
         self.dump_urls(file)
-    
 
     def add_url(self, url: str, src: str, row: dict):
         row['url'] = url
@@ -48,7 +47,6 @@ class Download:
 
         self.urls.append(row)
 
-
     def dump_urls(self, file: str = ".cache2.csv"):
         df = pd.DataFrame(self.urls)
         df.to_csv(os.path.join(self.temp, file))

src/musify.py

@@ -35,8 +35,6 @@ def get_download_link(default_url):
     musify_id = file_.split("-")[-1]
     musify_name = "-".join(file_.split("-")[:-1])
 
-    logging.info(f"https://musify.club/track/dl/{musify_id}/{musify_name}.mp3")
-
     return f"https://musify.club/track/dl/{musify_id}/{musify_name}.mp3"
 
 
@@ -45,7 +43,10 @@ def download_from_musify(file, url):
     r = session.get(url)
     if r.status_code != 200:
         if r.status_code == 404:
-            logging.warning(f"{url} was not found")
+            logging.warning(f"{r.url} was not found")
+            return -1
+        if r.status_code == 503:
+            logging.warning(f"{r.url} raised an internal server error")
             return -1
         raise ConnectionError(f"\"{url}\" returned {r.status_code}: {r.text}")
     with open(file, "wb") as mp3_file:
@@ -61,12 +62,13 @@ def download(row):
 
 def get_soup_of_search(query: str):
     url = f"https://musify.club/search?searchText={query}"
-    print(url)
+    logging.debug(f"Trying to get soup from {url}")
     r = session.get(url)
     if r.status_code != 200:
         raise ConnectionError(f"{r.url} returned {r.status_code}:\n{r.content}")
     return bs4.BeautifulSoup(r.content, features="html.parser")
 
+
 def search_for_track(row):
     track = row.title
     artist = row.artist

src/phonetic_compares.py

@@ -13,7 +13,6 @@ def match_artists(artist_1, artist_2: str) -> (bool, int):
         distances = []
 
         for artist_1_ in artist_1:
-            print(artist_1_)
             match, distance = match_titles(artist_1_, artist_2)
             if not match:
                 return match, distance