6a2632da70
将 Clover 从上层产品包旧仓库中独立出来,建立专属版本控制。 当前状态=纵切片端到端已打通(登录→选品→出文出图→审核→下载包), M1文案质量去套路化已验收。此提交作为后续按核销清单逐条修复的基线。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
87 lines
3.0 KiB
Python
87 lines
3.0 KiB
Python
"""
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app/services/task_service.py — 任务创建 service
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校验有无 key → 建 GenerationTask → 只推 task_id 入队，绝不传 key（基石B）。
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"""
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import logging
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from sqlalchemy.orm import Session
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from app.core.response import raise_business
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from app.middleware.workspace_guard import CurrentUser
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from app.models.task import GenerationTask
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from app.models.workspace import UserApiKey
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logger = logging.getLogger(__name__)
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def _check_user_has_key(db: Session, user_id: int, workspace_id: int) -> None:
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"""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。"""
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key = (
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db.query(UserApiKey)
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.filter(
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UserApiKey.user_id == user_id,
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UserApiKey.workspace_id == workspace_id,
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UserApiKey.provider.in_(["openai", "apiports"]), # G6坑修复：接受主备通道名
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)
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.first()
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)
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if not key:
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raise_business("尚未配置 API Key，请先在设置中录入")
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def create_generation_task(
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db: Session,
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current_user: CurrentUser,
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body, # CreateTaskRequest
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) -> GenerationTask:
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"""
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建 GenerationTask 并推 Celery 队列。
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只传 task_id，绝不传 key（基石B）。
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"""
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if body.track == "ai":
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# 轨A：先检查有没有 key
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_check_user_has_key(db, current_user.user_id, current_user.workspace_id)
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# 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，
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# 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）。
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need_img = getattr(body, "need_product_image", True)
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if need_img:
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from app.models.product import Product
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product = db.query(Product).filter(
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Product.id == body.product_id,
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Product.workspace_id == current_user.workspace_id,
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).first()
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if not product:
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raise_business("产品不存在")
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if not (product.image_path or "").strip():
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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")
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task = GenerationTask(
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workspace_id=current_user.workspace_id,
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product_id=body.product_id,
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operator_id=current_user.user_id,
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theme=body.theme,
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text_count=body.text_count,
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image_count=body.image_count,
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track=body.track,
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need_product_image=need_img,
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status="pending",
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)
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db.add(task)
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db.commit()
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db.refresh(task)
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logger.info("GenerationTask created: id=%s ws=%s", task.id, current_user.workspace_id)
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if body.track == "ai":
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enqueue_generation(task.id)
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return task
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def enqueue_generation(task_id: int) -> None:
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"""只推 task_id 入队，绝不推 key（基石B）。"""
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from app.workers.tasks import run_generation_pipeline
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run_generation_pipeline.delay(task_id)
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logger.info("Enqueued task_id=%s", task_id)
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