refactor: Optimize YouTube comment generation by reducing API calls and improving efficiency

app/routes/commend/router.py

@@ -153,17 +153,12 @@ async def get_video_info(request: GenerateCommentRequest):
 async def generate_youtube_comment(request: GenerateCommentRequest):
     """
     Generate an AI-powered comment for a YouTube video.
-
-    The comment is generated based on:
-    - Video title, description, and metadata
-    - Existing comments on the video
-    - Video transcript (if available)
-    - Selected language and style
+    Optimized for minimal API calls and token usage.
     """
     start_time = time.time()
     video_id = extract_video_id(request.videoUrl)
 
-    # 1. Fetch video details
+    # 1. Fetch video details (required)
     details, error = get_video_details(request.videoUrl)
     if error:
         logger.warning(f"Video details error: {error}")
@@ -172,26 +167,23 @@ async def generate_youtube_comment(request: GenerateCommentRequest):
             detail=f"Could not fetch video details: {error}"
         )
 
-    # 2. Fetch channel stats
-    if details.get('channelId'):
-        channel_info, _ = get_channel_details(details['channelId'])
-        if channel_info:
-            details['subscriberCount'] = channel_info.get('subscriberCount')
+    # 2. Skip channel stats - not critical, saves 1 API call
+    # Channel name is already in video details
 
-    # 3. Fetch existing comments
-    existing_comments, _ = get_video_comments(video_id, max_results=10)
+    # 3. Fetch only top 5 comments (reduced from 10)
+    existing_comments, _ = get_video_comments(video_id, max_results=5)
 
-    # 4. Fetch and summarize transcript
-    transcript_summary = None
+    # 4. Skip transcript summarization - saves 1 Gemini API call
+    # Use raw transcript snippet instead if available
     has_transcript = False
+    transcript_summary = None
     transcript_text, _ = get_video_transcript(video_id)
     if transcript_text:
         has_transcript = True
-        summary, _ = summarize_transcript(transcript_text, request.language)
-        if summary:
-            transcript_summary = summary
+        # Just take first 500 chars as context, no separate API call
+        transcript_summary = transcript_text[:500]
 
-    # 5. Generate comment
+    # 5. Generate comment (single Gemini call)
     generated_text, gen_error = generate_comment(
         video_details=details,
         comment_style=request.commentStyle,