Stream M3U playlists line by line during analysis

readlines() loaded whole playlists into memory; a 336 MB file needs
roughly 500-600 MB of RAM on a VPS with ~800 MB available.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

server.py

@@ -561,8 +561,12 @@ async def analyse_m3u_file(request):
     # Process the m3u file
     
     new_channels =[]
-    f = open(new_path_filename, "r", encoding="utf8")
-    Lines = f.readlines()
+    # Lecture ligne à ligne : une playlist de plusieurs centaines de Mo chargée d'un
+    # bloc (readlines) ne tient pas dans la mémoire du VPS.
+    with open(new_path_filename, "r", encoding="utf8", errors="replace") as count_file:
+        total_lines = max(1, sum(1 for _ in count_file))
+    f = open(new_path_filename, "r", encoding="utf8", errors="replace")
+    Lines = f
     print('ouverture fichier', flush=True)
     channel = {}
     separator = '--------'
@@ -570,7 +574,6 @@ async def analyse_m3u_file(request):
     num_channel = 0
     TypeLangChannel = ['EN','FR','US','CA', 'UK' ]
 
-    total_lines = len(Lines)
     number_line = 0
     
     for line in Lines:
@@ -622,7 +625,8 @@ async def analyse_m3u_file(request):
                         channel_exist = True
                         num_channel += 1
 
-  
+
+    f.close()
     bulk_insert_channels(collection_channels, new_channels, num_channel)
     print("Save final channels ", num_channel, flush=True)
     number_channels = collection_channels.count_documents({"id_playlist":id_playlist})