fixes in async code & other fixes

video_creation/final_video.py

@@ -73,7 +73,7 @@ def make_final_video(
             clip_start: float,
     ) -> 'AudioFileClip':
         return (
-            AudioFileClip(f'assets/audio/{clip_title}.mp3')
+            AudioFileClip(f'assets/temp/mp3/{clip_title}.mp3')
             .set_start(clip_start)
         )
 
@@ -90,32 +90,27 @@ def make_final_video(
     audio_clips.append(audio_title)
     indexes_for_videos = list()
 
-    for audio in track(
-            indexes_of_clips,
+    for idx, audio in track(
+            enumerate(indexes_of_clips),
             description='Gathering audio clips...',
     ):
         temp_audio_clip = create_audio_clip(
             audio,
             video_duration,
         )
-        if video_duration + temp_audio_clip.duration > max_length:
-            continue
+        if video_duration + temp_audio_clip.duration <= max_length:
             video_duration += temp_audio_clip.duration
             audio_clips.append(temp_audio_clip)
-        indexes_for_videos.append(audio)
+            indexes_for_videos.append(idx)
 
-    for idx in indexes_of_clips:
-        audio_clips.append(AudioFileClip(f'assets/temp/mp3/{idx}.mp3'))
     audio_composite = concatenate_audioclips(audio_clips)
 
-    console.log(f'[bold green] Video Will Be: {audio_composite.length} Seconds Long')
-    # add title to video
-    image_clips = list()
+    console.log(f'[bold green] Video Will Be: {video_duration} Seconds Long')
+
     # Gather all images
     new_opacity = 1 if opacity is None or float(opacity) >= 1 else float(opacity)  # TODO move to pydentic and percents
 
     def create_image_clip(
-            self,
             image_title: str | int,
             audio_start: float,
             audio_end: float,
@@ -123,30 +118,32 @@ def make_final_video(
     ) -> 'ImageClip':
         return (
             ImageClip(f'assets/temp/png/{image_title}.png')
-            .set_start(audio_start - self.time_before_tts)
-            .set_end(audio_end + self.time_before_tts)
-            .set_duration(self.time_before_tts * 2 + audio_duration, change_end=False)
+            .set_start(audio_start)
+            .set_end(audio_end)
+            .set_duration(audio_duration, change_end=False)
             .set_opacity(new_opacity)
             .resize(width=W - 100)
         )
 
-    index_offset = 1
+    # add title to video
+    image_clips = list()
 
-    image_clips.insert(
-        0,
-        ImageClip('assets/temp/png/title.png')
-        .set_duration(audio_clips[0].duration)
-        .resize(width=W - 100)
-        .set_opacity(new_opacity),
+    image_clips.append(
+        create_image_clip(
+            'title',
+            audio_clips[0].start,
+            audio_clips[0].end,
+            audio_clips[0].duration
+        )
     )
 
-    for photo_idx in indexes_of_clips:
+    for photo_idx in indexes_for_videos:
         image_clips.append(
             create_image_clip(
                 f'comment_{photo_idx}',
-                audio_clips[photo_idx + index_offset].start,
-                audio_clips[photo_idx + index_offset].end,
-                audio_clips[photo_idx + index_offset].duration
+                audio_clips[photo_idx].start,
+                audio_clips[photo_idx].end,
+                audio_clips[photo_idx].duration
             )
         )
 
@@ -218,7 +215,7 @@ def make_final_video(
                 'assets/temp/temp_audio.mp4',
                 0,
                 video_duration,
-                targetname=f"results/{subreddit}/{filename}",
+                targetname=f'results/{subreddit}/{filename}',
             )
     else:
         print('debug duck')

video_creation/screenshot_downloader.py

@@ -18,7 +18,6 @@ from attr import attrs, attrib
 from attr.validators import instance_of, optional
 from typing import TypeVar, Optional, Callable, Union
 
-
 _function = TypeVar('_function', bound=Callable[..., object])
 _exceptions = TypeVar('_exceptions', bound=Optional[Union[type, tuple, list]])
 
@@ -212,12 +211,7 @@ class RedditScreenshot(Browser, Wait):
         screenshot_idx (int): List with indexes of voiced comments
     """
     reddit_object: dict
-    screenshot_idx: list = attrib()
-
-    @screenshot_idx.validator
-    def validate_screenshot_idx(self, attribute, value):
-        if value <= 0:
-            raise ValueError('Check screenshot_num in config')
+    screenshot_idx: list
 
     async def __dark_theme(
             self,
@@ -352,12 +346,21 @@ class RedditScreenshot(Browser, Wait):
             self.screenshot_idx
         ]
 
+        def chunks(lst, n):
+            """Yield successive n-sized chunks from lst."""
+            for i in range(0, len(lst), n):
+                yield lst[i:i + n]
+
+        for idx, tasks in enumerate(
+                [chunk for chunk in chunks(async_tasks_primary, 15)],
+                start=1,
+        ):
             for task in track(
-                as_completed(async_tasks_primary),
-                description='Downloading screenshots...',
-                total=async_tasks_primary.__len__(),
+                    as_completed(tasks),
+                    description=f'Downloading comments: Chunk {idx}',
+                    total=tasks.__len__()
             ):
                 await task
 
-        print_substep('Screenshots downloaded Successfully.', style='bold green')
+        print_substep('Comments downloaded Successfully.', style='bold green')
         await self.close_browser()

video_creation/voices.py

@@ -37,13 +37,22 @@ async def save_text_to_mp3(
             if voice.casefold() in map(lambda _: _.casefold(), TTSProviders):
                 break
             print('Unknown Choice')
-    engine_instance = TTSEngine(get_case_insensitive_key_value(TTSProviders, voice), reddit_obj)
-    return await engine_instance.run()
+    TTS_instance = get_case_insensitive_key_value(TTSProviders, voice)
+    if TTS_instance == StreamlabsPolly or TTS_instance == TikTok:
+        from aiohttp import ClientSession
+
+        async with ClientSession() as client:
+            engine_instance = TTSEngine(TTS_instance(client), reddit_obj)
+            results = await engine_instance.run()
+    else:
+        engine_instance = TTSEngine(TTS_instance, reddit_obj)
+        results = await engine_instance.run()
+    return results
 
 
 def get_case_insensitive_key_value(
         input_dict,
-        key
+        key,
 ) -> object:
     return next(
         (value for dict_key, value in input_dict.items() if dict_key.lower() == key.lower()),