Set up video processing pipeline

.github/workflows/process-videos.yml

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+name: Process New Videos
+
+on:
+  push:
+    paths:
+      - 'videos/**/*.json'
+  schedule:
+    - cron: '0 */6 * * *'
+
+jobs:
+  process:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/setup-python@v2
+      - name: Process Videos
+        run: python implementation/video-processor.py

implementation/video-processor.py

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+import asyncio
+from typing import Dict, List
+
+async def process_video(video_id: str) -> Dict:
+    # Get transcript
+    transcript = await get_transcript(video_id)
+
+    # Process content
+    content = {
+        'segments': [],
+        'insights': {
+            'business': [],
+            'technical': [],
+            'distribution': []
+        },
+        'patterns': []
+    }
+
+    return content
+
+async def extract_insights(transcript: str) -> List:
+    # Extract key insights
+    return []
+
+async def analyze_patterns(transcript: str) -> List:
+    # Analyze content patterns
+    return []

videos/2024/january.json

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+{
+  "videos": [
+    {
+      "title": "3 AI app ideas that are goldmines",
+      "video_id": "pending",
+      "date": "2024-01",
+      "status": "queued",
+      "type": "tutorial",
+      "insights": {
+        "business": [],
+        "technical": [],
+        "distribution": []
+      }
+    }
+  ]
+}