stapel-recordings 0.1.2

Recording lifecycle and transcription for the Stapel framework

stapel-recordings

Recording lifecycle and transcription for the Stapel framework — composable Django apps that deploy as a monolith or as microservices without changing module code.

Owns the lifecycle capture/upload → storage → transcribe → summarize: Recording + Speaker + Segment (the unified transcript), presigned / multipart upload sessions, and a data-driven, outbox-backed processing pipeline with retry, DLQ and reconcile.

Speech-to-text and summarization are delegated to stapel-agent via the llm.transcribe / llm.summarize comm Functions — this module does not implement STT or LLM calls. Object storage goes through a swappable seam.

Install

pip install stapel-recordings          # default: Django-storage backend
pip install "stapel-recordings[s3]"    # + boto3 S3/MinIO backend

INSTALLED_APPS = [
    # ...
    "stapel_core.django.outbox",   # transactional outbox (pipeline reliability)
    "stapel_recordings",
]

# urls.py
path("recordings/", include("stapel_recordings.urls"))

The transcribe / merge stages call stapel-agent by comm name — install and configure stapel-agent (or provide llm.transcribe / llm.summarize providers) for the pipeline to complete. The default convert stage needs ffmpeg/ffprobe on PATH (or set NORMALIZER to passthrough_normalize).

The pipeline is data you can edit

STAPEL_RECORDINGS = {
    # Reorder / subset / insert stages — no fork:
    "PIPELINE": ["convert", "transcribe", "redact_pii", "merge"],
    # Replace or add stage handlers (merge-over-builtins; None removes):
    "STAGES": {"diarize": "myproject.stages.PyannoteDiarizer"},
    # Or source the list at runtime (DB / per-workspace / per-recording):
    "PIPELINE_RESOLVER": "myproject.pipelines.resolve",
    # Swap the object store:
    "STORAGE": "stapel_recordings.storage.S3Backend",
}

A generic driver runs the resolved stage list, advancing the status machine and emitting the next stage through the outbox. See MODULE.md for the stage contract and worked examples.

Settings

All configuration lives in the STAPEL_RECORDINGS namespace (dict setting, flat setting, or env var — resolved lazily). See the full table in MODULE.md. Highlights: PIPELINE, STAGES, PIPELINE_RESOLVER, STORAGE, NORMALIZER, SUMMARIZE_ENABLED, MAX_STAGE_RETRIES.

comm surface

Kind	Name	Contract
Action (emit)	recording.uploaded, recording.stage_completed, recording.completed, recording.failed	pipeline lifecycle (public)
Action (consume)	recording.uploaded, recording.stage, user.deleted	driver + GDPR erase
Function (call)	llm.transcribe, llm.summarize	provided by stapel-agent

Operations

python manage.py recordings_reconcile --once   # re-drive stuck recordings

Development

pip install -e . && pip install pytest pytest-django ruff jsonschema djangorestframework
./setup-hooks.sh
pytest tests/

License

MIT