650 lines
20 KiB
Python
650 lines
20 KiB
Python
"""
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Task service for submitting and managing background tasks.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import uuid
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from datetime import datetime, timezone
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from typing import Any
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import dramatiq # type: ignore[import-untyped]
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from dramatiq.brokers.redis import RedisBroker # type: ignore[import-untyped]
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import httpx
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from sqlalchemy.ext.asyncio import AsyncSession
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from cpv3.infrastructure.deps import _get_storage_service
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from cpv3.infrastructure.settings import get_settings
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from cpv3.modules.jobs.models import Job
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from cpv3.modules.jobs.repository import JobEventRepository, JobRepository
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from cpv3.modules.jobs.schemas import (
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JobCreate,
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JobEventCreate,
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JobStatusEnum,
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JobTypeEnum,
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JobUpdate,
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)
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from cpv3.modules.tasks.schemas import (
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CaptionsGenerateRequest,
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MediaConvertRequest,
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MediaProbeRequest,
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SilenceRemoveRequest,
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TaskSubmitResponse,
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TaskWebhookEvent,
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TranscriptionGenerateRequest,
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)
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from cpv3.modules.transcription.repository import TranscriptionRepository
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from cpv3.modules.users.models import User
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from cpv3.modules.webhooks.repository import WebhookRepository
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from cpv3.modules.webhooks.schemas import WebhookCreate
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logger = logging.getLogger(__name__)
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JOB_STATUS_PENDING: JobStatusEnum = "PENDING"
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JOB_STATUS_RUNNING: JobStatusEnum = "RUNNING"
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JOB_STATUS_DONE: JobStatusEnum = "DONE"
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JOB_STATUS_FAILED: JobStatusEnum = "FAILED"
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JOB_TYPE_MEDIA_PROBE: JobTypeEnum = "MEDIA_PROBE"
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JOB_TYPE_SILENCE_REMOVE: JobTypeEnum = "SILENCE_REMOVE"
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JOB_TYPE_MEDIA_CONVERT: JobTypeEnum = "MEDIA_CONVERT"
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JOB_TYPE_TRANSCRIPTION_GENERATE: JobTypeEnum = "TRANSCRIPTION_GENERATE"
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JOB_TYPE_CAPTIONS_GENERATE: JobTypeEnum = "CAPTIONS_GENERATE"
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EVENT_TYPE_STATUS_PREFIX = "status_"
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EVENT_TYPE_PROGRESS = "progress"
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EVENT_TYPE_LOG = "log"
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EVENT_TYPE_OUTPUT = "output"
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EVENT_TYPE_ERROR = "error"
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TASK_WEBHOOK_PATH = "/api/tasks/webhook/{job_id}/"
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WEBHOOK_TIMEOUT_SECONDS = 10
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MESSAGE_STARTING = "Starting"
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MESSAGE_COMPLETED = "Completed"
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MESSAGE_PROBING_MEDIA = "Probing media"
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MESSAGE_PROCESSING = "Processing"
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MESSAGE_CONVERTING = "Converting"
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MESSAGE_RENDERING_CAPTIONS = "Rendering captions"
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PROGRESS_COMPLETE = 100.0
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PROGRESS_MEDIA_PROBE = 50.0
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PROGRESS_SILENCE_REMOVE = 30.0
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PROGRESS_MEDIA_CONVERT = 30.0
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PROGRESS_TRANSCRIPTION = 20.0
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PROGRESS_CAPTIONS = 30.0
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# ---------------------------------------------------------------------------
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# Dramatiq broker setup
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# ---------------------------------------------------------------------------
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_settings = get_settings()
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_redis_broker = RedisBroker(url=_settings.redis_url)
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dramatiq.set_broker(_redis_broker)
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# ---------------------------------------------------------------------------
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# Webhook helpers for Dramatiq workers
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# ---------------------------------------------------------------------------
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def _utc_now() -> datetime:
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"""Return current UTC time."""
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return datetime.now(timezone.utc)
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def _build_webhook_url(job_id: uuid.UUID) -> str:
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"""Build the internal webhook URL for task updates."""
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settings = get_settings()
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base_url = settings.webhook_base_url.rstrip("/")
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return f"{base_url}{TASK_WEBHOOK_PATH.format(job_id=job_id)}"
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def _build_webhook_event_name(job_type: JobTypeEnum) -> str:
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"""Build webhook event name for a job type."""
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return f"task.{job_type.lower()}"
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def _send_webhook_event(webhook_url: str, event: TaskWebhookEvent) -> None:
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"""Send a task webhook event to the API."""
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payload = event.model_dump(mode="json", exclude_none=True)
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try:
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response = httpx.post(
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webhook_url, json=payload, timeout=WEBHOOK_TIMEOUT_SECONDS
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)
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response.raise_for_status()
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except Exception:
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logger.exception("Failed to send task webhook event to %s", webhook_url)
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raise
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def _derive_event_type(event: TaskWebhookEvent) -> str:
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"""Derive a job event type from a webhook event payload."""
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if event.status is not None:
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return f"{EVENT_TYPE_STATUS_PREFIX}{event.status}"
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if event.error_message is not None:
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return EVENT_TYPE_ERROR
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if event.progress_pct is not None:
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return EVENT_TYPE_PROGRESS
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if event.current_message is not None:
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return EVENT_TYPE_LOG
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if event.output_data is not None:
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return EVENT_TYPE_OUTPUT
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return EVENT_TYPE_LOG
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def _run_async(coro: Any) -> Any:
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"""Run async function in new event loop (for sync Dramatiq actors)."""
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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return loop.run_until_complete(coro)
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finally:
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loop.close()
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# ---------------------------------------------------------------------------
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# Dramatiq actors
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# ---------------------------------------------------------------------------
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@dramatiq.actor(max_retries=3, min_backoff=1000)
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def media_probe_actor(job_id: str, webhook_url: str, file_key: str) -> None:
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"""Probe media file to extract metadata."""
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from cpv3.modules.media.service import probe_media
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job_uuid = uuid.UUID(job_id)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_RUNNING,
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current_message=MESSAGE_STARTING,
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started_at=_utc_now(),
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),
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)
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try:
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storage = _get_storage_service()
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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current_message=MESSAGE_PROBING_MEDIA,
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progress_pct=PROGRESS_MEDIA_PROBE,
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),
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)
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result = _run_async(probe_media(storage, file_key=file_key))
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_DONE,
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current_message=MESSAGE_COMPLETED,
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progress_pct=PROGRESS_COMPLETE,
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output_data=result.model_dump(mode="json"),
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finished_at=_utc_now(),
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),
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)
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except Exception as exc:
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logger.exception("media_probe_actor failed: %s", job_uuid)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_FAILED,
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error_message=str(exc),
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finished_at=_utc_now(),
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),
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)
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raise
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@dramatiq.actor(max_retries=3, min_backoff=1000)
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def silence_remove_actor(
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job_id: str,
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webhook_url: str,
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file_key: str,
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out_folder: str,
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min_silence_duration_ms: int,
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silence_threshold_db: int,
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padding_ms: int,
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) -> None:
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"""Remove silence from media file."""
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from cpv3.modules.media.service import remove_silence
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job_uuid = uuid.UUID(job_id)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_RUNNING,
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current_message=MESSAGE_STARTING,
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started_at=_utc_now(),
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),
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)
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try:
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storage = _get_storage_service()
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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current_message=MESSAGE_PROCESSING,
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progress_pct=PROGRESS_SILENCE_REMOVE,
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),
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)
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result = _run_async(
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remove_silence(
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storage,
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file_key=file_key,
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out_folder=out_folder,
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min_silence_duration_ms=min_silence_duration_ms,
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silence_threshold_db=silence_threshold_db,
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padding_ms=padding_ms,
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)
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)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_DONE,
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current_message=MESSAGE_COMPLETED,
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progress_pct=PROGRESS_COMPLETE,
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output_data={
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"file_path": result.file_path,
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"file_url": result.file_url,
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"file_size": result.file_size,
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},
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finished_at=_utc_now(),
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),
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)
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except Exception as exc:
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logger.exception("silence_remove_actor failed: %s", job_uuid)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_FAILED,
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error_message=str(exc),
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finished_at=_utc_now(),
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),
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)
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raise
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@dramatiq.actor(max_retries=3, min_backoff=1000)
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def media_convert_actor(
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job_id: str,
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webhook_url: str,
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file_key: str,
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out_folder: str,
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output_format: str,
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) -> None:
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"""Convert media file to specified format."""
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from cpv3.modules.media.service import convert_to_mp4
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job_uuid = uuid.UUID(job_id)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_RUNNING,
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current_message=MESSAGE_STARTING,
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started_at=_utc_now(),
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),
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)
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try:
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if output_format.lower() != "mp4":
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raise ValueError(f"Unsupported format: {output_format}")
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storage = _get_storage_service()
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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current_message=MESSAGE_CONVERTING,
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progress_pct=PROGRESS_MEDIA_CONVERT,
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),
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)
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result = _run_async(
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convert_to_mp4(storage, file_key=file_key, out_folder=out_folder)
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)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_DONE,
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current_message=MESSAGE_COMPLETED,
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progress_pct=PROGRESS_COMPLETE,
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output_data={
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"file_path": result.file_path,
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"file_url": result.file_url,
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"file_size": result.file_size,
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},
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finished_at=_utc_now(),
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),
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)
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except Exception as exc:
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logger.exception("media_convert_actor failed: %s", job_uuid)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_FAILED,
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error_message=str(exc),
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finished_at=_utc_now(),
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),
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)
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raise
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@dramatiq.actor(max_retries=2, min_backoff=2000)
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def transcription_generate_actor(
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job_id: str,
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webhook_url: str,
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file_key: str,
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engine: str,
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language: str | None,
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model: str,
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) -> None:
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"""Generate transcription from audio/video file."""
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from cpv3.modules.transcription.service import (
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transcribe_with_google_speech,
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transcribe_with_whisper,
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)
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job_uuid = uuid.UUID(job_id)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_RUNNING,
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current_message=MESSAGE_STARTING,
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started_at=_utc_now(),
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),
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)
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try:
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storage = _get_storage_service()
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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current_message=f"Transcribing ({engine})",
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progress_pct=PROGRESS_TRANSCRIPTION,
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),
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)
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if engine == "whisper":
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document = _run_async(
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transcribe_with_whisper(
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storage, file_key=file_key, model_name=model, language=language
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)
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)
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elif engine == "google":
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language_codes = [language] if language else None
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document = _run_async(
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transcribe_with_google_speech(
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storage, file_key=file_key, language_codes=language_codes
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)
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)
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else:
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raise ValueError(f"Unknown engine: {engine}")
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_DONE,
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current_message=MESSAGE_COMPLETED,
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progress_pct=PROGRESS_COMPLETE,
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output_data={"document": document.model_dump(mode="json")},
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finished_at=_utc_now(),
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),
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)
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except Exception as exc:
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logger.exception("transcription_generate_actor failed: %s", job_uuid)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_FAILED,
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error_message=str(exc),
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finished_at=_utc_now(),
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),
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)
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raise
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@dramatiq.actor(max_retries=2, min_backoff=2000)
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def captions_generate_actor(
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job_id: str,
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webhook_url: str,
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video_s3_path: str,
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folder: str,
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transcription_json: dict,
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) -> None:
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"""Generate captions on video."""
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from cpv3.modules.captions.service import generate_captions
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from cpv3.modules.transcription.schemas import Document
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job_uuid = uuid.UUID(job_id)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_RUNNING,
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current_message=MESSAGE_STARTING,
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started_at=_utc_now(),
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),
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)
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try:
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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current_message=MESSAGE_RENDERING_CAPTIONS,
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progress_pct=PROGRESS_CAPTIONS,
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),
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)
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document = Document.model_validate(transcription_json)
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output_path = _run_async(
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generate_captions(
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video_s3_path=video_s3_path, folder=folder, transcription=document
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)
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)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_DONE,
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current_message=MESSAGE_COMPLETED,
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progress_pct=PROGRESS_COMPLETE,
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output_data={"output_path": output_path},
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finished_at=_utc_now(),
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),
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)
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except Exception as exc:
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logger.exception("captions_generate_actor failed: %s", job_uuid)
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_send_webhook_event(
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webhook_url,
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TaskWebhookEvent(
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status=JOB_STATUS_FAILED,
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error_message=str(exc),
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finished_at=_utc_now(),
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),
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)
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raise
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# ---------------------------------------------------------------------------
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# Task Service
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# ---------------------------------------------------------------------------
|
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|
|
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class TaskService:
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"""Service for submitting background tasks and recording webhook updates."""
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|
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def __init__(self, session: AsyncSession) -> None:
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self._session = session
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self._job_repo = JobRepository(session)
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self._event_repo = JobEventRepository(session)
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self._webhook_repo = WebhookRepository(session)
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async def _create_job_and_webhook(
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self,
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*,
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requester: User,
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job_type: JobTypeEnum,
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project_id: uuid.UUID | None,
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input_data: dict,
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) -> tuple[Job, str]:
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"""Create job and webhook, return job and webhook URL."""
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broker_id = uuid.uuid4().hex
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job = await self._job_repo.create(
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requester=requester,
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data=JobCreate(
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broker_id=broker_id,
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project_id=project_id,
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input_data=input_data,
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job_type=job_type,
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),
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)
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webhook_url = _build_webhook_url(job.id)
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await self._webhook_repo.create(
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requester=requester,
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data=WebhookCreate(
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project_id=project_id,
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event=_build_webhook_event_name(job_type),
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url=webhook_url,
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),
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)
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return job, webhook_url
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async def _submit_task(
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self,
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*,
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requester: User,
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job_type: JobTypeEnum,
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project_id: uuid.UUID | None,
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input_data: dict,
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actor: Any,
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actor_kwargs: dict[str, Any],
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) -> TaskSubmitResponse:
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job, webhook_url = await self._create_job_and_webhook(
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requester=requester,
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job_type=job_type,
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project_id=project_id,
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input_data=input_data,
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)
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actor.send(job_id=str(job.id), webhook_url=webhook_url, **actor_kwargs)
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return TaskSubmitResponse(
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job_id=job.id,
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webhook_url=webhook_url,
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status=JOB_STATUS_PENDING,
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)
|
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|
|
async def record_webhook_event(
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self, *, job_id: uuid.UUID, event: TaskWebhookEvent
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) -> Job:
|
|
"""Apply a webhook event to the job and store a job event record."""
|
|
job = await self._job_repo.get_by_id(job_id)
|
|
if job is None:
|
|
raise ValueError(f"Job {job_id} not found")
|
|
|
|
job_update = JobUpdate(
|
|
status=event.status,
|
|
project_pct=event.progress_pct,
|
|
current_message=event.current_message,
|
|
error_message=event.error_message,
|
|
output_data=event.output_data,
|
|
started_at=event.started_at,
|
|
finished_at=event.finished_at,
|
|
)
|
|
job = await self._job_repo.update(job, job_update)
|
|
|
|
event_type = _derive_event_type(event)
|
|
payload = event.model_dump(mode="json", exclude_none=True)
|
|
await self._event_repo.create(
|
|
JobEventCreate(job_id=job.id, event_type=event_type, payload=payload)
|
|
)
|
|
return job
|
|
|
|
async def submit_media_probe(
|
|
self, *, requester: User, request: MediaProbeRequest
|
|
) -> TaskSubmitResponse:
|
|
"""Submit media probe task."""
|
|
return await self._submit_task(
|
|
requester=requester,
|
|
job_type=JOB_TYPE_MEDIA_PROBE,
|
|
project_id=request.project_id,
|
|
input_data=request.model_dump(mode="json"),
|
|
actor=media_probe_actor,
|
|
actor_kwargs={"file_key": request.file_key},
|
|
)
|
|
|
|
async def submit_silence_remove(
|
|
self, *, requester: User, request: SilenceRemoveRequest
|
|
) -> TaskSubmitResponse:
|
|
"""Submit silence removal task."""
|
|
return await self._submit_task(
|
|
requester=requester,
|
|
job_type=JOB_TYPE_SILENCE_REMOVE,
|
|
project_id=request.project_id,
|
|
input_data=request.model_dump(mode="json"),
|
|
actor=silence_remove_actor,
|
|
actor_kwargs={
|
|
"file_key": request.file_key,
|
|
"out_folder": request.out_folder,
|
|
"min_silence_duration_ms": request.min_silence_duration_ms,
|
|
"silence_threshold_db": request.silence_threshold_db,
|
|
"padding_ms": request.padding_ms,
|
|
},
|
|
)
|
|
|
|
async def submit_media_convert(
|
|
self, *, requester: User, request: MediaConvertRequest
|
|
) -> TaskSubmitResponse:
|
|
"""Submit media conversion task."""
|
|
return await self._submit_task(
|
|
requester=requester,
|
|
job_type=JOB_TYPE_MEDIA_CONVERT,
|
|
project_id=request.project_id,
|
|
input_data=request.model_dump(mode="json"),
|
|
actor=media_convert_actor,
|
|
actor_kwargs={
|
|
"file_key": request.file_key,
|
|
"out_folder": request.out_folder,
|
|
"output_format": request.output_format,
|
|
},
|
|
)
|
|
|
|
async def submit_transcription_generate(
|
|
self, *, requester: User, request: TranscriptionGenerateRequest
|
|
) -> TaskSubmitResponse:
|
|
"""Submit transcription generation task."""
|
|
return await self._submit_task(
|
|
requester=requester,
|
|
job_type=JOB_TYPE_TRANSCRIPTION_GENERATE,
|
|
project_id=request.project_id,
|
|
input_data=request.model_dump(mode="json"),
|
|
actor=transcription_generate_actor,
|
|
actor_kwargs={
|
|
"file_key": request.file_key,
|
|
"engine": request.engine,
|
|
"language": request.language,
|
|
"model": request.model,
|
|
},
|
|
)
|
|
|
|
async def submit_captions_generate(
|
|
self, *, requester: User, request: CaptionsGenerateRequest
|
|
) -> TaskSubmitResponse:
|
|
"""Submit captions generation task."""
|
|
transcription_repo = TranscriptionRepository(self._session)
|
|
transcription = await transcription_repo.get_by_id(request.transcription_id)
|
|
if transcription is None:
|
|
raise ValueError(f"Transcription {request.transcription_id} not found")
|
|
|
|
return await self._submit_task(
|
|
requester=requester,
|
|
job_type=JOB_TYPE_CAPTIONS_GENERATE,
|
|
project_id=request.project_id,
|
|
input_data=request.model_dump(mode="json"),
|
|
actor=captions_generate_actor,
|
|
actor_kwargs={
|
|
"video_s3_path": request.video_s3_path,
|
|
"folder": request.folder,
|
|
"transcription_json": transcription.document,
|
|
},
|
|
)
|