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* docs: transient docs * chore: cleanup * webvtt WIP * webvtt field * chore: webvtt tests comments * chore: remove useless tests * feat: search TASK.md * feat: full text search by title/webvtt * chore: search api task * feat: search api * feat: search API * chore: rm task md * chore: roll back unnecessary validators * chore: pr review WIP * chore: pr review WIP * chore: pr review * chore: top imports * feat: better lint + ci * feat: better lint + ci * feat: better lint + ci * feat: better lint + ci * chore: lint * chore: lint * fix: db datetime definitions * fix: flush() params * fix: update transcript mutability expectation / test * fix: update transcript mutability expectation / test * chore: auto review * chore: new controller extraction * chore: new controller extraction * chore: cleanup * chore: review WIP * chore: pr WIP * chore: remove ci lint * chore: openapi regeneration * chore: openapi regeneration * chore: postgres test doc * fix: .dockerignore for arm binaries * fix: .dockerignore for arm binaries * fix: cap test loops * fix: cap test loops * fix: cap test loops * fix: get_transcript_topics * chore: remove flow.md docs and claude guidance * chore: remove claude.md db doc * chore: remove claude.md db doc * chore: remove claude.md db doc * chore: remove claude.md db doc
AWS S3/SQS usage clarification
Whereby.com uploads recordings directly to our S3 bucket when meetings end.
SQS Queue (AWS_PROCESS_RECORDING_QUEUE_URL)
Filled by: AWS S3 Event Notifications
The S3 bucket is configured to send notifications to our SQS queue when new objects are created. This is standard AWS infrastructure - not in our codebase.
AWS S3 → SQS Event Configuration:
- Event Type: s3:ObjectCreated:*
- Filter: *.mp4 files
- Destination: Our SQS queue
Our System's Role
Polls SQS every 60 seconds via /server/reflector/worker/process.py:24-62:
Every 60 seconds, check for new recordings
sqs = boto3.client("sqs", ...) response = sqs.receive_message(QueueUrl=queue_url, ...)
Requeue
uv run /app/requeue_uploaded_file.py TRANSCRIPT_ID
Pipeline Management
Continue stuck pipeline from final summaries (identify_participants) step:
uv run python -c "from reflector.pipelines.main_live_pipeline import task_pipeline_final_summaries; result = task_pipeline_final_summaries.delay(transcript_id='TRANSCRIPT_ID'); print(f'Task queued: {result.id}')"
Run full post-processing pipeline (continues to completion):
uv run python -c "from reflector.pipelines.main_live_pipeline import pipeline_post; pipeline_post(transcript_id='TRANSCRIPT_ID')"