REFACTOR: Moved streaming tasks to dedicated folder and updated refs

web_server/celery_tasks/__init__.py

@@ -1,10 +1,4 @@
 from celery import Celery, shared_task, Task
-from utils.stream_utils import generate_thumbnail, get_streamer_live_status
-from time import sleep
-from os import listdir, remove
-from datetime import datetime
-from celery_tasks.preferences import user_preferences
-import subprocess
 
 def celery_init_app(app) -> Celery:
     class FlaskTask(Task):
@@ -23,53 +17,3 @@ def celery_init_app(app) -> Celery:
     celery_app.set_default()
     app.extensions["celery"] = celery_app
     return celery_app
-
-
-@shared_task
-def update_thumbnail(user_id, stream_file, thumbnail_file, sleep_time) -> None:
-    """
-    Updates the thumbnail of a stream periodically
-    """
-
-    if get_streamer_live_status(user_id)['is_live']:
-        print("Updating thumbnail...")
-        generate_thumbnail(stream_file, thumbnail_file)
-        update_thumbnail.apply_async((user_id, stream_file, thumbnail_file, sleep_time), countdown=sleep_time)
-    else:
-        print("Stream has ended, stopping thumbnail updates")
-
-@shared_task
-def combine_ts_stream(stream_path, vods_path, vod_file_name):
-    """
-    Combines all ts files into a single vod, and removes the ts files
-    """
-    ts_files = [f for f in listdir(stream_path) if f.endswith(".ts")]
-    ts_files.sort()
-
-    # Create temp file listing all ts files
-    with open(f"{stream_path}/list.txt", "w") as f:
-        for ts_file in ts_files:
-            f.write(f"file '{ts_file}'\n")
-    
-    # Concatenate all ts files into a single vod
-    
-    vod_command = [
-        "ffmpeg",
-        "-f",
-        "concat",
-        "-safe",
-        "0",
-        "-i",
-        f"{stream_path}/list.txt",
-        "-c",
-        "copy",
-        f"{vods_path}/{vod_file_name}.mp4"
-    ]
-
-    subprocess.run(vod_command)
-
-    # Remove ts files
-    for ts_file in ts_files:
-        remove(f"{stream_path}/{ts_file}")
-    # Remove m3u8 file
-    remove(f"{stream_path}/index.m3u8")

web_server/celery_tasks/streaming.py

@@ -0,0 +1,71 @@
+from celery import Celery, shared_task, Task
+from datetime import datetime
+from celery_tasks.preferences import user_preferences
+from utils.stream_utils import generate_thumbnail, get_streamer_live_status
+from time import sleep
+from os import listdir, remove
+import subprocess
+
+@shared_task
+def update_thumbnail(user_id, stream_file, thumbnail_file, sleep_time) -> None:
+    """
+    Updates the thumbnail of a stream periodically
+    """
+
+    if get_streamer_live_status(user_id)['is_live']:
+        print("Updating thumbnail...")
+        generate_thumbnail(stream_file, thumbnail_file)
+        update_thumbnail.apply_async((user_id, stream_file, thumbnail_file, sleep_time), countdown=sleep_time)
+    else:
+        print("Stream has ended, stopping thumbnail updates")
+
+@shared_task
+def combine_ts_stream(stream_path, vods_path, vod_file_name):
+    """
+    Combines all ts files into a single vod, and removes the ts files
+    """
+    ts_files = [f for f in listdir(stream_path) if f.endswith(".ts")]
+    ts_files.sort()
+
+    # Create temp file listing all ts files
+    with open(f"{stream_path}/list.txt", "w") as f:
+        for ts_file in ts_files:
+            f.write(f"file '{ts_file}'\n")
+    
+    # Concatenate all ts files into a single vod
+    
+    vod_command = [
+        "ffmpeg",
+        "-f",
+        "concat",
+        "-safe",
+        "0",
+        "-i",
+        f"{stream_path}/list.txt",
+        "-c",
+        "copy",
+        f"{vods_path}/{vod_file_name}.mp4"
+    ]
+
+    subprocess.run(vod_command)
+
+    # Remove ts files
+    for ts_file in ts_files:
+        remove(f"{stream_path}/{ts_file}")
+    # Remove m3u8 file
+    remove(f"{stream_path}/index.m3u8")
+
+@shared_task
+def convert_image_to_png(image_path, png_path):
+    """
+    Converts an image to a png
+    """
+    image_command = [
+        "ffmpeg",
+        "-y",
+        "-i",
+        image_path,
+        png_path
+    ]
+
+    subprocess.run(image_command)