feat: daily.co support as alternative to whereby (#691)

* llm instructions

* vibe dailyco

* vibe dailyco

* doc update (vibe)

* dont show recording ui on call

* stub processor (vibe)

* stub processor (vibe) self-review

* stub processor (vibe) self-review

* chore(main): release 0.14.0 (#670)

* Add multitrack pipeline

* Mixdown audio tracks

* Mixdown with pyav filter graph

* Trigger multitrack processing for daily recordings

* apply platform from envs in priority: non-dry

* Use explicit track keys for processing

* Align tracks of a multitrack recording

* Generate waveforms for the mixed audio

* Emit multriack pipeline events

* Fix multitrack pipeline track alignment

* dailico docs

* Enable multitrack reprocessing

* modal temp files uniform names, cleanup. remove llm temporary docs

* docs cleanup

* dont proceed with raw recordings if any of the downloads fail

* dry transcription pipelines

* remove is_miltitrack

* comments

* explicit dailyco room name

* docs

* remove stub data/method

* frontend daily/whereby code self-review (no-mistake)

* frontend daily/whereby code self-review (no-mistakes)

* frontend daily/whereby code self-review (no-mistakes)

* consent cleanup for multitrack (no-mistakes)

* llm fun

* remove extra comments

* fix tests

* merge migrations

* Store participant names

* Get participants by meeting session id

* pop back main branch migration

* s3 paddington (no-mistakes)

* comment

* pr comments

* pr comments

* pr comments

* platform / meeting cleanup

* Use participant names in summary generation

* platform assignment to meeting at controller level

* pr comment

* room playform properly default none

* room playform properly default none

* restore migration lost

* streaming WIP

* extract storage / use common storage / proper env vars for storage

* fix mocks tests

* remove fall back

* streaming for multifile

* cenrtal storage abstraction (no-mistakes)

* remove dead code / vars

* Set participant user id for authenticated users

* whereby recording name parsing fix

* whereby recording name parsing fix

* more file stream

* storage dry + tests

* remove homemade boto3 streaming and use proper boto

* update migration guide

* webhook creation script - print uuid

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
Co-authored-by: Mathieu Virbel <mat@meltingrocks.com>
Co-authored-by: Sergey Mankovsky <sergey@monadical.com>

server/reflector/views/transcripts_process.py

@@ -5,8 +5,12 @@ from fastapi import APIRouter, Depends, HTTPException
 from pydantic import BaseModel
 
 import reflector.auth as auth
+from reflector.db.recordings import recordings_controller
 from reflector.db.transcripts import transcripts_controller
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
+from reflector.pipelines.main_multitrack_pipeline import (
+    task_pipeline_multitrack_process,
+)
 
 router = APIRouter()
 
@@ -33,14 +37,35 @@ async def transcript_process(
             status_code=400, detail="Recording is not ready for processing"
         )
 
+    # avoid duplicate scheduling for either pipeline
     if task_is_scheduled_or_active(
         "reflector.pipelines.main_file_pipeline.task_pipeline_file_process",
         transcript_id=transcript_id,
+    ) or task_is_scheduled_or_active(
+        "reflector.pipelines.main_multitrack_pipeline.task_pipeline_multitrack_process",
+        transcript_id=transcript_id,
     ):
         return ProcessStatus(status="already running")
 
-    # schedule a background task process the file
-    task_pipeline_file_process.delay(transcript_id=transcript_id)
+    # Determine processing mode strictly from DB to avoid S3 scans
+    bucket_name = None
+    track_keys: list[str] = []
+
+    if transcript.recording_id:
+        recording = await recordings_controller.get_by_id(transcript.recording_id)
+        if recording:
+            bucket_name = recording.bucket_name
+            track_keys = list(getattr(recording, "track_keys", []) or [])
+
+    if bucket_name:
+        task_pipeline_multitrack_process.delay(
+            transcript_id=transcript_id,
+            bucket_name=bucket_name,
+            track_keys=track_keys,
+        )
+    else:
+        # Default single-file pipeline
+        task_pipeline_file_process.delay(transcript_id=transcript_id)
 
     return ProcessStatus(status="ok")