dailico track merge vibe

server/test_s3_multitrack.py

@@ -0,0 +1,66 @@
+#!/usr/bin/env python
+"""
+Test multitrack processing with correct S3 bucket configuration
+"""
+
+import asyncio
+import uuid
+
+from reflector.db import get_database
+from reflector.db.transcripts import Transcript, transcripts
+from reflector.pipelines.main_multitrack_pipeline import (
+    task_pipeline_multitrack_process,
+)
+
+
+async def create_and_process():
+    """Create a new transcript and process with correct S3 bucket"""
+
+    # Correct S3 configuration
+    bucket_name = "reflector-dailyco-local"
+    track_keys = [
+        "monadical/daily-20251020193458/1760988935484-52f7f48b-fbab-431f-9a50-87b9abfc8255-cam-audio-1760988935922",
+        "monadical/daily-20251020193458/1760988935484-a37c35e3-6f8e-4274-a482-e9d0f102a732-cam-audio-1760988943823",
+    ]
+
+    # Create a new transcript
+    db = get_database()
+    await db.connect()
+
+    try:
+        transcript_id = str(uuid.uuid4())
+        transcript = Transcript(
+            id=transcript_id,
+            name="Daily Multitrack - Correct S3 Bucket Test",
+            source_kind="file",
+            source_language="en",
+            target_language="en",
+            status="idle",
+            events=[],
+            title="",
+        )
+
+        query = transcripts.insert().values(**transcript.model_dump())
+        await db.execute(query)
+        print(f"Created transcript: {transcript_id}")
+
+        # Trigger processing with Celery
+        result = task_pipeline_multitrack_process.delay(
+            transcript_id=transcript_id, bucket_name=bucket_name, track_keys=track_keys
+        )
+
+        print(f"Task ID: {result.id}")
+        print(
+            f"Processing started! Check: http://localhost:3000/transcripts/{transcript_id}"
+        )
+        print(f"API Status: http://localhost:1250/v1/transcripts/{transcript_id}")
+
+        return transcript_id
+    finally:
+        await db.disconnect()
+
+
+if __name__ == "__main__":
+    transcript_id = asyncio.run(create_and_process())
+    print(f"\n✅ Task submitted successfully!")
+    print(f"📍 Transcript ID: {transcript_id}")