""" app/services/task_service.py — 任务创建 service 校验有无 key → 建 GenerationTask → 只推 task_id 入队,绝不传 key(基石B)。 """ import logging from sqlalchemy.orm import Session from app.core.response import raise_business from app.middleware.workspace_guard import CurrentUser from app.models.task import GenerationTask from app.models.workspace import UserApiKey logger = logging.getLogger(__name__) def _check_user_has_key(db: Session, user_id: int, workspace_id: int) -> None: """校验用户在此 workspace 是否有可用 API Key(openai/apiports均可),没有则引导去配置。""" key = ( db.query(UserApiKey) .filter( UserApiKey.user_id == user_id, UserApiKey.workspace_id == workspace_id, UserApiKey.provider.in_(["openai", "apiports"]), # G6坑修复:接受主备通道名 ) .first() ) if not key: raise_business("尚未配置 API Key,请先在设置中录入") def _check_concurrency_limit(db: Session, user_id: int, workspace_id: int) -> None: """ 校验该用户未完成任务数未超并发上限(红线=5,可配置)。 只算 pending/generating(真占 worker),挑选/审核态不计。超限引导稍后再试。 """ from app.core.config import get_settings from app.constants.enums import TaskStatus limit = get_settings().MAX_CONCURRENT_TASKS_PER_USER running = ( db.query(GenerationTask) .filter( GenerationTask.operator_id == user_id, GenerationTask.workspace_id == workspace_id, GenerationTask.status.in_([TaskStatus.PENDING.value, TaskStatus.GENERATING.value]), ) .count() ) if running >= limit: raise_business(f"您有 {running} 个任务正在生成,已达并发上限 {limit} 个,请等待完成后再发起") def create_generation_task( db: Session, current_user: CurrentUser, body, # CreateTaskRequest ) -> GenerationTask: """ 建 GenerationTask 并推 Celery 队列。 只传 task_id,绝不传 key(基石B)。 """ if body.track == "ai": # 轨A:先检查有没有 key _check_user_has_key(db, current_user.user_id, current_user.workspace_id) # 并发上限:只算正在消耗生成资源的任务(pending/generating), # 已生成完等挑选/审核的不占 worker。红线=每用户5个(可配置)。 _check_concurrency_limit(db, current_user.user_id, current_user.workspace_id) from app.models.product import Product product = db.query(Product).filter( Product.id == body.product_id, Product.workspace_id == current_user.workspace_id, ).first() if not product: raise_business("产品不存在") # 禁降级铁律:本次产品入镜(need_product_image=True)时,产品必须已上传参考图, # 否则拒绝建任务(不允许降级纯文生图,防产品包装跑偏/过抽检失败)。 need_img = getattr(body, "need_product_image", True) if need_img: if not (product.image_path or "").strip(): raise_business("该产品未上传参考图,无法生成产品入镜内容;请先到产品库上传产品图,或关闭「产品入镜」开关") # 第2环:关联标杆笔记ID存库(JSON list)。pipeline 据此读 features_json 注入文案 prompt。 import json _bids = getattr(body, "benchmark_ids", None) or [] benchmark_ids_json = json.dumps([int(i) for i in _bids]) if _bids else None task = GenerationTask( workspace_id=current_user.workspace_id, product_id=body.product_id, operator_id=current_user.user_id, theme=body.theme, text_count=body.text_count, image_count=body.image_count, track=body.track, need_product_image=need_img, benchmark_ids=benchmark_ids_json, status="pending", ) db.add(task) db.commit() db.refresh(task) logger.info("GenerationTask created: id=%s ws=%s", task.id, current_user.workspace_id) if body.track == "ai": enqueue_generation(task.id) return task def enqueue_generation(task_id: int, regen_strategy: str | None = None, regen_role: str | None = None, custom_prompt: str | None = None, reuse_text: bool = False) -> None: """只推 task_id(+可选重生参数)入队,绝不推 key(基石B)。 regen_strategy/regen_role/custom_prompt 仅 R2 单张/单套重生时传,常规生成留 None。 reuse_text=True 仅导入轨「去生图」时传:首次出图但复用库内导入文案,跳过文案生成。""" from app.workers.tasks import run_generation_pipeline run_generation_pipeline.delay(task_id, regen_strategy=regen_strategy, regen_role=regen_role, custom_prompt=custom_prompt, reuse_text=reuse_text) logger.info("Enqueued task_id=%s regen=%s/%s reuse_text=%s", task_id, regen_strategy, regen_role, reuse_text)