JiuContinent
9cf7c44393
feat: 添加生命周期报告和AI规则管理功能 - 在Dockerfile中添加pillow依赖包用于图像处理 - 实现生命周期报告调度任务，支持日报和周报两种类型 - 新增TASK_RUN_LIFECYCLE任务常量和相关配置选项 - 扩展AI Agent服务以支持用户规则，并在分析时应用规则 - 添加AI用户规则创建、更新和查询接口 - 增加项目生命周期和财务需求分析技能 - 扩展现有模型以支持更完整的业务数据字段 - 实现飞书图片上传功能用于报告展示 ```
34 lines
884 B
Python
34 lines
884 B
Python
from typing import Any
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from app.core.background.task_queue.constants import TASK_RUN_LIFECYCLE
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from app.core.constants import ActorValue
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from app.core.database import SessionLocal
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from app.modules.reports.lifecycle_pipeline import LifecyclePipelineService
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from app.tasks.app import celery_app
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@celery_app.task(
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name=TASK_RUN_LIFECYCLE,
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autoretry_for=(Exception,),
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retry_backoff=True,
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retry_kwargs={"max_retries": 3},
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)
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def run_lifecycle_report(
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report_type: str,
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receive_id: str | None = None,
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receive_id_type: str = "chat_id",
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force: bool = False,
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actor: str = ActorValue.SCHEDULER,
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) -> dict[str, Any]:
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db = SessionLocal()
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try:
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return LifecyclePipelineService(db).run(
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report_type,
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receive_id,
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receive_id_type,
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force,
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actor,
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)
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finally:
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db.close()
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