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feat: Daily+hatchet default (#846)

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* feat: set Daily as default video platform

Daily.co has been battle-tested and is ready to be the default.
Whereby remains available for rooms that explicitly set it.

* feat: enforce Hatchet for all multitrack processing

Remove use_celery option from rooms - multitrack (Daily) recordings
now always use Hatchet workflows. Celery remains for single-track
(Whereby) file processing only.

- Remove use_celery column from room table
- Simplify dispatch logic to always use Hatchet for multitracks
- Update tests to mock Hatchet instead of Celery

* fix: update whereby test to patch Hatchet instead of removed Celery import

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
This commit is contained in:
Igor Monadical
2026-02-05 18:38:08 -05:00
committed by GitHub
parent 1ce1c7a910
commit 15ab2e306e
7 changed files with 194 additions and 238 deletions
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33
server/tests/test_transcripts_process.py
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@@ -1,6 +1,6 @@
import asyncio
import time
from unittest.mock import patch
from unittest.mock import AsyncMock, patch
import pytest
from httpx import ASGITransport, AsyncClient
@@ -142,17 +142,17 @@ async def test_whereby_recording_uses_file_pipeline(client):
"reflector.services.transcript_process.task_pipeline_file_process"
) as mock_file_pipeline,
patch(
"reflector.services.transcript_process.task_pipeline_multitrack_process"
) as mock_multitrack_pipeline,
"reflector.services.transcript_process.HatchetClientManager"
) as mock_hatchet,
):
response = await client.post(f"/transcripts/{transcript.id}/process")
assert response.status_code == 200
assert response.json()["status"] == "ok"
# Whereby recordings should use file pipeline
# Whereby recordings should use file pipeline, not Hatchet
mock_file_pipeline.delay.assert_called_once_with(transcript_id=transcript.id)
mock_multitrack_pipeline.delay.assert_not_called()
mock_hatchet.start_workflow.assert_not_called()
@pytest.mark.usefixtures("setup_database")
@@ -177,8 +177,6 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
recording_trigger="automatic-2nd-participant",
is_shared=False,
)
# Force Celery backend for test
await rooms_controller.update(room, {"use_celery": True})
transcript = await transcripts_controller.add(
"",
@@ -213,18 +211,23 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
"reflector.services.transcript_process.task_pipeline_file_process"
) as mock_file_pipeline,
patch(
"reflector.services.transcript_process.task_pipeline_multitrack_process"
) as mock_multitrack_pipeline,
"reflector.services.transcript_process.HatchetClientManager"
) as mock_hatchet,
):
mock_hatchet.start_workflow = AsyncMock(return_value="test-workflow-id")
response = await client.post(f"/transcripts/{transcript.id}/process")
assert response.status_code == 200
assert response.json()["status"] == "ok"
# Daily.co multitrack recordings should use multitrack pipeline
mock_multitrack_pipeline.delay.assert_called_once_with(
transcript_id=transcript.id,
bucket_name="daily-bucket",
track_keys=track_keys,
)
# Daily.co multitrack recordings should use Hatchet workflow
mock_hatchet.start_workflow.assert_called_once()
call_kwargs = mock_hatchet.start_workflow.call_args.kwargs
assert call_kwargs["workflow_name"] == "DiarizationPipeline"
assert call_kwargs["input_data"]["transcript_id"] == transcript.id
assert call_kwargs["input_data"]["bucket_name"] == "daily-bucket"
assert call_kwargs["input_data"]["tracks"] == [
{"s3_key": k} for k in track_keys
]
mock_file_pipeline.delay.assert_not_called()