StreamClipper AI Faz 1: ingestion + sinyal analizi + STT + altyapı iskeleti

yt-dlp headless capture (15dk segmentleme), ses peak + chat velocity sinyal
tespiti, OpenAI Whisper STT (kelime zaman damgalı), BullMQ/Redis/Postgres
altyapısı ve kanal durumu + transkript kütüphanesi gösteren Next.js panel.
LLM virality skorlama, render/crop/altyazı ve multi-platform dağıtım bu
fazın kapsamı dışında.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

apps/worker/worker/main.py

@@ -0,0 +1,35 @@
+import asyncio
+
+from . import db
+from .chat_capture import start_chat_capture
+from .signal_detection import start_signal_detection_worker
+from .stt_scoring import start_stt_scoring_worker
+
+SESSION_WATCH_INTERVAL_SEC = 10
+
+
+async def watch_sessions_for_chat_capture():
+    while True:
+        try:
+            sessions = await db.get_active_sessions()
+            for s in sessions:
+                start_chat_capture(s["id"], s["live_video_id"])
+        except Exception as exc:
+            print(f"[main] session watcher error: {exc}")
+        await asyncio.sleep(SESSION_WATCH_INTERVAL_SEC)
+
+
+async def main():
+    signal_worker = start_signal_detection_worker()
+    stt_worker = start_stt_scoring_worker()
+    print("[main] worker started: signal-detection + stt-scoring queues")
+
+    try:
+        await watch_sessions_for_chat_capture()
+    finally:
+        await signal_worker.close()
+        await stt_worker.close()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())