602 lines
27 KiB
Python
602 lines
27 KiB
Python
from __future__ import annotations
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import logging
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from datetime import datetime, timedelta, timezone
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from typing import Any
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from sqlalchemy import select
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from app.config import settings
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from app.enums.credit_record import CreditRecordBillingScene, CreditRecordOwnerType
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from app.enums.shot_replicate import (
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ModuleCodeEnum,
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ShotAnalysisStatusEnum,
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ShotSegmentAnalysisStatusEnum,
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ShotSegmentSourceModeEnum,
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ShotSplitStatusEnum,
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ShotTaskSetStatusEnum,
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)
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from app.models.base import async_session
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from app.models.shot_replicate_segment import ShotReplicateSegment
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from app.models.shot_replicate_task_set import ShotReplicateTaskSet
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from app.services.module_generation_log_service import log_module_error, log_module_event_file, log_module_prompt_event
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from app.services.redis_registry_service import redis_acquire_lock, redis_release_lock
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from app.services.module_async_recovery_service import (
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OBJECT_SHOT_SEGMENT_ANALYSIS,
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OBJECT_SHOT_SPLIT_SEGMENT,
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OBJECT_SHOT_TASK_SET_ANALYSIS,
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acquire_object_lock,
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cleanup_active_if_terminal,
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mark_active_started,
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postpone_active_task,
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register_shot_segment_analysis_task,
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register_shot_split_task,
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register_shot_task_set_analysis_task,
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release_object_lock,
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remove_active_task,
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)
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from app.services.shot_replicate_taskset_service import refresh_task_set_split_summary
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from app.services.shot_video_analysis_service import analyze_video_for_shot_split
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from app.services.generation_billing_service import charge_shot_video_analysis_usage
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from app.services.shot_video_split_service import split_video_segment_async
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from app.services.upload_video_asset_service import validate_split_range
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from app.tasks.async_runner import run_async
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from app.tasks.celery_app import celery_app
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logger = logging.getLogger("video_gen")
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MODULE = ModuleCodeEnum.SHOT_REPLICATE.value
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SPLIT_QUEUE = "gen_result_download"
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ANALYSIS_QUEUE = "gen_chatapi_create"
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def _now() -> datetime:
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return datetime.now(timezone.utc)
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def _lease_until(now: datetime | None = None) -> datetime:
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return (now or _now()) + timedelta(seconds=int(settings.SHOT_SPLIT_LEASE_SECONDS or 600))
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def _retry_at(attempt: int, now: datetime | None = None) -> datetime:
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base = int(settings.SHOT_SPLIT_RETRY_BACKOFF_SECONDS or settings.DOWNLOAD_TASK_RETRY_BACKOFF_SECONDS or 30)
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return (now or _now()) + timedelta(seconds=max(1, base * max(1, attempt)))
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async def _acquire_split_semaphore(segment_id: str) -> str | None:
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"""简单 Redis 并发闸门：用固定槽位锁限制 ffmpeg 同时运行数量。"""
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max_concurrent = max(1, int(settings.SHOT_SPLIT_MAX_CONCURRENT or 1))
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ttl = int(settings.SHOT_SPLIT_LEASE_SECONDS or 600)
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for slot in range(max_concurrent):
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key = f"{settings.SHOT_SPLIT_SEMAPHORE_KEY_PREFIX}:{slot}"
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token = await redis_acquire_lock(lock_key=key, ttl_seconds=ttl, token=segment_id, log_context="shot_split_semaphore")
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if token:
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return key
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return None
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async def _release_split_semaphore(lock_key: str | None, segment_id: str) -> None:
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if lock_key:
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await redis_release_lock(lock_key=lock_key, token=segment_id, log_context="shot_split_semaphore")
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async def _run_analyze_original_video(task_set_id: str) -> None:
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lock_token = await acquire_object_lock(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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if not lock_token:
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return
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await register_shot_task_set_analysis_task(task_set_id)
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await mark_active_started(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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task_set_user_id: str | None = None
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video_url: str | None = None
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try:
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async with async_session() as db:
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result = await db.execute(
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select(ShotReplicateTaskSet)
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.where(ShotReplicateTaskSet.id == task_set_id, ShotReplicateTaskSet.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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task_set = result.scalar_one_or_none()
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if not task_set:
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await remove_active_task(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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return
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if task_set.analysis_status == ShotAnalysisStatusEnum.COMPLETED.value:
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await remove_active_task(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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return
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task_set_user_id = task_set.user_id
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video_url = task_set.video_url
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task_set.status = ShotTaskSetStatusEnum.ANALYZING.value
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task_set.analysis_status = ShotAnalysisStatusEnum.PROCESSING.value
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task_set.analysis_error_message = None
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await db.commit()
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log_module_event_file(
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module=MODULE,
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event_type="SHOT_ANALYSIS_STARTED",
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project_id=task_set_id,
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user_id=task_set_user_id,
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message="原视频拆镜分析开始",
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detail={"task_set_id": task_set_id, "video_url": video_url, "analysis_mode": "full_breakdown"},
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)
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async with async_session() as db:
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analyzed = await analyze_video_for_shot_split(db, video_url or "", user_id=task_set_user_id, mode="full_breakdown")
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result = await db.execute(
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select(ShotReplicateTaskSet)
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.where(ShotReplicateTaskSet.id == task_set_id, ShotReplicateTaskSet.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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task_set = result.scalar_one_or_none()
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if not task_set:
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await db.rollback()
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await remove_active_task(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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return
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result_json = analyzed.result
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task_set.original_video_content = str(result_json.get("原视频内容") or "无")
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task_set.original_video_category = str(result_json.get("原视频分类") or "无")
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task_set.original_video_audience = str(result_json.get("原视频受众人群") or "无")
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task_set.ai_suggestion_json = result_json.get("拆镜内容剖析") or []
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task_set.analysis_raw_json = analyzed.raw_response
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task_set.analysis_result_json = result_json
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task_set.analysis_status = ShotAnalysisStatusEnum.COMPLETED.value
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task_set.status = ShotTaskSetStatusEnum.ANALYSIS_COMPLETED.value
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task_set.analysis_error_message = None
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await charge_shot_video_analysis_usage(
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db,
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user_id=task_set.user_id,
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owner_type=CreditRecordOwnerType.SHOT_REPLICATE_TASK_SET.value,
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owner_id=task_set.id,
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usage=analyzed.usage,
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description="拆镜复刻-原视频分析",
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billing_scene=CreditRecordBillingScene.SHOT_ORIGINAL_VIDEO_ANALYSIS.value,
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source_project_id=task_set.id,
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)
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await db.commit()
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await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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log_module_prompt_event(
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event_type="SHOT_ANALYSIS_SUCCESS",
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project_id=task_set_id,
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step_id=task_set_id,
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user_id=task_set_user_id or "",
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module=MODULE,
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prompt_type="shot_video_analysis",
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request=analyzed.usage.get("log_request") if isinstance(analyzed.usage, dict) else {},
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response=analyzed.result,
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token_usage=analyzed.usage,
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)
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log_module_event_file(
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module=MODULE,
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event_type="SHOT_ANALYSIS_SUCCESS",
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project_id=task_set_id,
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user_id=task_set_user_id,
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message="原视频拆镜分析成功",
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detail={"suggestion_count": len(analyzed.result.get("拆镜内容剖析") or []), "token_usage": analyzed.usage},
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)
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except Exception as exc:
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async with async_session() as db:
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result = await db.execute(
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select(ShotReplicateTaskSet)
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.where(ShotReplicateTaskSet.id == task_set_id, ShotReplicateTaskSet.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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task_set = result.scalar_one_or_none()
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if task_set:
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task_set_user_id = task_set_user_id or task_set.user_id
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task_set.status = ShotTaskSetStatusEnum.ANALYSIS_FAILED.value
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task_set.analysis_status = ShotAnalysisStatusEnum.FAILED.value
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task_set.analysis_error_message = str(exc)
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await db.commit()
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await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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else:
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await remove_active_task(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id)
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log_module_error(
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module=MODULE,
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event_type="SHOT_ANALYSIS_FAILED",
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project_id=task_set_id,
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user_id=task_set_user_id,
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message="原视频拆镜分析失败",
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detail={"task_set_id": task_set_id, "video_url": video_url, "analysis_mode": "full_breakdown"},
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exc=exc,
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)
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finally:
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await release_object_lock(object_type=OBJECT_SHOT_TASK_SET_ANALYSIS, object_id=task_set_id, token=lock_token)
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async def _run_analyze_custom_segment_video(segment_id: str) -> None:
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lock_token = await acquire_object_lock(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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if not lock_token:
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return
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await register_shot_segment_analysis_task(segment_id)
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await mark_active_started(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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user_id: str | None = None
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task_set_id: str | None = None
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video_url: str | None = None
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try:
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async with async_session() as db:
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result = await db.execute(
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select(ShotReplicateSegment)
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.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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segment = result.scalar_one_or_none()
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if not segment or not segment.segment_video_url:
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await remove_active_task(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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return
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if segment.analysis_status == ShotSegmentAnalysisStatusEnum.COMPLETED.value:
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await remove_active_task(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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return
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user_id = segment.user_id
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task_set_id = segment.task_set_id
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video_url = segment.segment_video_url
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await register_shot_segment_analysis_task(segment_id, task_set_id=task_set_id)
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segment.analysis_status = ShotSegmentAnalysisStatusEnum.PROCESSING.value
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segment.analysis_error_message = None
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await db.commit()
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log_module_event_file(
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module=MODULE,
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event_type="SHOT_SEGMENT_ANALYSIS_STARTED",
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project_id=task_set_id,
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step_id=segment_id,
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user_id=user_id,
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message="自定义拆镜片段分析开始",
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detail={"segment_id": segment_id, "task_set_id": task_set_id, "video_url": video_url, "analysis_mode": "summary_only"},
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)
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async with async_session() as db:
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analyzed = await analyze_video_for_shot_split(db, video_url or "", user_id=user_id, mode="summary_only")
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result = await db.execute(
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select(ShotReplicateSegment)
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.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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segment = result.scalar_one_or_none()
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if not segment:
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await db.rollback()
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await remove_active_task(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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return
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result_json = analyzed.result
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segment.original_video_content = str(result_json.get("原视频内容") or "无")
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segment.original_video_category = str(result_json.get("原视频分类") or "无")
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segment.original_video_audience = str(result_json.get("原视频受众人群") or "无")
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segment.segment_content = segment.original_video_content
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segment.segment_category = segment.original_video_category
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segment.segment_audience = segment.original_video_audience
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segment.analysis_json = result_json
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segment.analysis_status = ShotSegmentAnalysisStatusEnum.COMPLETED.value
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segment.analysis_error_message = None
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await charge_shot_video_analysis_usage(
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db,
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user_id=segment.user_id,
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owner_type=CreditRecordOwnerType.SHOT_REPLICATE_SEGMENT.value,
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owner_id=segment.id,
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usage=analyzed.usage,
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description="拆镜复刻-片段视频分析",
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billing_scene=CreditRecordBillingScene.SHOT_SEGMENT_VIDEO_ANALYSIS.value,
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source_project_id=segment.task_set_id,
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source_step_id=segment.id,
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)
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await db.commit()
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await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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log_module_prompt_event(
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event_type="SHOT_SEGMENT_ANALYSIS_SUCCESS",
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project_id=task_set_id,
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step_id=segment_id,
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user_id=user_id or "",
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module=MODULE,
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prompt_type="shot_segment_analysis",
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request=analyzed.usage.get("log_request") if isinstance(analyzed.usage, dict) else {},
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response=analyzed.result,
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token_usage=analyzed.usage,
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)
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log_module_event_file(
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module=MODULE,
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event_type="SHOT_SEGMENT_ANALYSIS_SUCCESS",
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project_id=task_set_id,
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step_id=segment_id,
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user_id=user_id,
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message="自定义拆镜片段分析成功",
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detail={"segment_id": segment_id, "task_set_id": task_set_id, "token_usage": analyzed.usage},
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)
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except Exception as exc:
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async with async_session() as db:
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result = await db.execute(
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select(ShotReplicateSegment)
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.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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segment = result.scalar_one_or_none()
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if segment:
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user_id = user_id or segment.user_id
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task_set_id = task_set_id or segment.task_set_id
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segment.analysis_status = ShotSegmentAnalysisStatusEnum.FAILED.value
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segment.analysis_error_message = str(exc)
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await db.commit()
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await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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else:
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await remove_active_task(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id)
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log_module_error(
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module=MODULE,
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event_type="SHOT_SEGMENT_ANALYSIS_FAILED",
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project_id=task_set_id,
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step_id=segment_id,
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user_id=user_id,
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message="自定义拆镜片段分析失败",
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detail={"segment_id": segment_id, "task_set_id": task_set_id, "video_url": video_url, "analysis_mode": "summary_only"},
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exc=exc,
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)
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finally:
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await release_object_lock(object_type=OBJECT_SHOT_SEGMENT_ANALYSIS, object_id=segment_id, token=lock_token)
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async def _run_split_one_segment(segment_id: str) -> None:
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segment_lock_key = f"{settings.SHOT_SPLIT_LOCK_KEY_PREFIX}:{segment_id}"
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segment_lock_token = await redis_acquire_lock(
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lock_key=segment_lock_key,
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ttl_seconds=int(settings.SHOT_SPLIT_LEASE_SECONDS or 600),
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log_context="shot_split_segment_lock",
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)
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if not segment_lock_token:
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return
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await register_shot_split_task(segment_id)
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await mark_active_started(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
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semaphore_key: str | None = None
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user_id: str | None = None
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task_set_id: str | None = None
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source_path: str | None = None
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try:
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semaphore_key = await _acquire_split_semaphore(segment_id)
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if not semaphore_key:
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log_module_event_file(
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module=MODULE,
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event_type="SHOT_SEGMENT_SPLIT_RETRY_WAITING",
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step_id=segment_id,
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message="拆镜 ffmpeg 并发闸门已满，稍后重试",
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detail={"segment_id": segment_id, "reason": "semaphore_full"},
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)
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delay = max(1, int(settings.MODULE_ASYNC_REQUEUE_DELAY_SECONDS or 10))
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await postpone_active_task(
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object_type=OBJECT_SHOT_SPLIT_SEGMENT,
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object_id=segment_id,
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delay_seconds=delay,
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reason="semaphore_full",
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)
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if celery_app:
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split_one_segment.apply_async(args=[segment_id], queue=SPLIT_QUEUE, countdown=delay, priority=settings.DOWNLOAD_TASK_PRIORITY_NORMAL)
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return
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async with async_session() as db:
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result = await db.execute(
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select(ShotReplicateSegment)
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.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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segment = result.scalar_one_or_none()
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if not segment:
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await remove_active_task(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
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return
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user_id = segment.user_id
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task_set_id = segment.task_set_id
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task_set_result = await db.execute(
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select(ShotReplicateTaskSet)
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.where(ShotReplicateTaskSet.id == segment.task_set_id, ShotReplicateTaskSet.deleted_at.is_(None))
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.with_for_update()
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.limit(1)
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)
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task_set = task_set_result.scalar_one_or_none()
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if not task_set:
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await remove_active_task(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
return
|
|
if segment.split_status == ShotSplitStatusEnum.COMPLETED.value and segment.segment_video_url:
|
|
await remove_active_task(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
return
|
|
|
|
validate_split_range(
|
|
start_second=segment.start_second,
|
|
end_second=segment.end_second,
|
|
video_duration_seconds=task_set.video_duration_seconds,
|
|
)
|
|
|
|
now = _now()
|
|
segment.split_status = ShotSplitStatusEnum.PROCESSING.value
|
|
segment.split_started_at = now
|
|
segment.split_lease_until = _lease_until(now)
|
|
segment.split_retry_count = int(segment.split_retry_count or 0) + 1
|
|
segment.split_next_retry_at = None
|
|
segment.split_last_error = None
|
|
task_set.status = ShotTaskSetStatusEnum.SPLITTING.value
|
|
task_set.split_status = ShotSplitStatusEnum.PROCESSING.value
|
|
await db.commit()
|
|
await register_shot_split_task(segment_id, task_set_id=segment.task_set_id)
|
|
await mark_active_started(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
|
|
source_path = task_set.video_path
|
|
date_dir = (segment.created_at or now).strftime("%Y/%m/%d")
|
|
start_second = segment.start_second
|
|
end_second = segment.end_second
|
|
attempt = segment.split_retry_count
|
|
|
|
log_module_event_file(
|
|
module=MODULE,
|
|
event_type="SHOT_SEGMENT_SPLIT_STARTED",
|
|
project_id=task_set_id,
|
|
step_id=segment_id,
|
|
user_id=user_id,
|
|
message="拆镜片段 ffmpeg 切割开始",
|
|
detail={
|
|
"segment_id": segment_id,
|
|
"task_set_id": task_set_id,
|
|
"source_path": source_path,
|
|
"start_second": start_second,
|
|
"end_second": end_second,
|
|
"attempt": attempt,
|
|
},
|
|
)
|
|
|
|
split_result = await split_video_segment_async(
|
|
source_path=source_path,
|
|
segment_id=segment_id,
|
|
start_second=start_second,
|
|
end_second=end_second,
|
|
date_dir=date_dir,
|
|
)
|
|
|
|
async with async_session() as db:
|
|
result = await db.execute(
|
|
select(ShotReplicateSegment)
|
|
.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
|
|
.with_for_update()
|
|
.limit(1)
|
|
)
|
|
segment = result.scalar_one_or_none()
|
|
if not segment:
|
|
await remove_active_task(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
return
|
|
segment.segment_video_url = split_result.url
|
|
segment.segment_video_path = split_result.path
|
|
segment.split_status = ShotSplitStatusEnum.COMPLETED.value
|
|
segment.split_completed_at = _now()
|
|
segment.split_lease_until = None
|
|
segment.split_next_retry_at = None
|
|
segment.split_last_error = None
|
|
await refresh_task_set_split_summary(db, segment.task_set_id)
|
|
await db.commit()
|
|
await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
|
|
log_module_event_file(
|
|
module=MODULE,
|
|
event_type="SHOT_SEGMENT_SPLIT_SUCCESS",
|
|
project_id=segment.task_set_id,
|
|
step_id=segment.id,
|
|
user_id=segment.user_id,
|
|
message="拆镜片段 ffmpeg 切割成功",
|
|
detail={
|
|
"segment_id": segment.id,
|
|
"task_set_id": segment.task_set_id,
|
|
"segment_video_url": split_result.url,
|
|
"segment_video_path": split_result.path,
|
|
"source_mode": segment.source_mode,
|
|
},
|
|
)
|
|
|
|
if segment.source_mode == ShotSegmentSourceModeEnum.CUSTOM.value and celery_app:
|
|
await register_shot_segment_analysis_task(segment.id, task_set_id=segment.task_set_id)
|
|
analyze_custom_segment_video.apply_async(args=[segment.id], queue=ANALYSIS_QUEUE, countdown=0)
|
|
|
|
except Exception as exc:
|
|
next_retry_delay: int | None = None
|
|
final_failed = False
|
|
async with async_session() as db:
|
|
result = await db.execute(
|
|
select(ShotReplicateSegment)
|
|
.where(ShotReplicateSegment.id == segment_id, ShotReplicateSegment.deleted_at.is_(None))
|
|
.with_for_update()
|
|
.limit(1)
|
|
)
|
|
segment = result.scalar_one_or_none()
|
|
if not segment:
|
|
await remove_active_task(object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
return
|
|
user_id = user_id or segment.user_id
|
|
task_set_id = task_set_id or segment.task_set_id
|
|
attempt = int(segment.split_retry_count or 0)
|
|
segment.split_last_error = str(exc)
|
|
segment.split_lease_until = None
|
|
if attempt >= int(settings.SHOT_SPLIT_MAX_RETRY_COUNT or 3):
|
|
segment.split_status = ShotSplitStatusEnum.FAILED.value
|
|
segment.split_next_retry_at = None
|
|
final_failed = True
|
|
else:
|
|
segment.split_status = ShotSplitStatusEnum.RETRY_WAITING.value
|
|
segment.split_next_retry_at = _retry_at(attempt)
|
|
await refresh_task_set_split_summary(db, segment.task_set_id)
|
|
await db.commit()
|
|
|
|
if segment.split_status == ShotSplitStatusEnum.RETRY_WAITING.value:
|
|
next_retry_delay = max(1, int(((segment.split_next_retry_at or _now()) - _now()).total_seconds()))
|
|
await postpone_active_task(
|
|
object_type=OBJECT_SHOT_SPLIT_SEGMENT,
|
|
object_id=segment_id,
|
|
delay_seconds=next_retry_delay,
|
|
reason="split_retry_waiting",
|
|
)
|
|
if celery_app:
|
|
split_one_segment.apply_async(args=[segment_id], queue=SPLIT_QUEUE, countdown=next_retry_delay, priority=settings.DOWNLOAD_TASK_PRIORITY_RECOVER)
|
|
elif final_failed:
|
|
await cleanup_active_if_terminal(db, object_type=OBJECT_SHOT_SPLIT_SEGMENT, object_id=segment_id)
|
|
|
|
log_module_error(
|
|
module=MODULE,
|
|
event_type="SHOT_SEGMENT_SPLIT_FAILED" if final_failed else "SHOT_SEGMENT_SPLIT_RETRY_WAITING",
|
|
project_id=task_set_id,
|
|
step_id=segment_id,
|
|
user_id=user_id,
|
|
message="拆镜片段 ffmpeg 切割失败" if final_failed else "拆镜片段 ffmpeg 切割失败，等待重试",
|
|
detail={
|
|
"segment_id": segment_id,
|
|
"task_set_id": task_set_id,
|
|
"source_path": source_path,
|
|
"next_retry_delay_seconds": next_retry_delay,
|
|
"final_failed": final_failed,
|
|
},
|
|
exc=exc,
|
|
)
|
|
finally:
|
|
await _release_split_semaphore(semaphore_key, segment_id)
|
|
await redis_release_lock(lock_key=segment_lock_key, token=segment_lock_token, log_context="shot_split_segment_lock")
|
|
|
|
|
|
async def _run_recover_split_tasks_once() -> dict[str, Any]:
|
|
from app.services.shot_replicate_recovery_service import recover_shot_split_tasks_once
|
|
|
|
async with async_session() as db:
|
|
return await recover_shot_split_tasks_once(db)
|
|
|
|
|
|
if celery_app:
|
|
|
|
@celery_app.task(name="shot_replicate.analyze_original_video")
|
|
def analyze_original_video(task_set_id: str) -> None:
|
|
return run_async(_run_analyze_original_video(task_set_id))
|
|
|
|
|
|
@celery_app.task(name="shot_replicate.split_one_segment", bind=True, max_retries=0)
|
|
def split_one_segment(self, segment_id: str) -> None:
|
|
return run_async(_run_split_one_segment(segment_id))
|
|
|
|
|
|
@celery_app.task(name="shot_replicate.analyze_custom_segment_video")
|
|
def analyze_custom_segment_video(segment_id: str) -> None:
|
|
return run_async(_run_analyze_custom_segment_video(segment_id))
|
|
|
|
|
|
@celery_app.task(name="shot_replicate.recover_split_tasks_once")
|
|
def recover_split_tasks_once() -> dict[str, Any]:
|
|
return run_async(_run_recover_split_tasks_once())
|
|
|
|
else:
|
|
|
|
class _DisabledTask:
|
|
def delay(self, *args: Any, **kwargs: Any) -> None:
|
|
raise RuntimeError("Celery is disabled")
|
|
|
|
def apply_async(self, *args: Any, **kwargs: Any) -> None:
|
|
raise RuntimeError("Celery is disabled")
|
|
|
|
analyze_original_video = _DisabledTask()
|
|
split_one_segment = _DisabledTask()
|
|
analyze_custom_segment_video = _DisabledTask()
|
|
recover_split_tasks_once = _DisabledTask()
|