89 lines
2.9 KiB
Python
89 lines
2.9 KiB
Python
from typing import TypedDict
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from fastapi import FastAPI
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from langgraph.constants import START, END
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from langgraph.graph import StateGraph
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from app.model.ApproveModel import ApproveModel, ApproveService
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from app.model.ReimburseModel import ReimburseService, ReimburseModel
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from app.utils.db_utils import AsyncSessionDep
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from app.utils.postgres_checkpointer import AsyncPostgresSaverDep
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def add_approve_route(app: FastAPI):
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# 提交报销单接口
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@app.post('/submit_reimburse')
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async def submit_reimburse(
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reimburse: dict,
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session: AsyncSessionDep,
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checkpointer: AsyncPostgresSaverDep,
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):
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reimburse_id = reimburse.get('id')
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# 先查一遍报销单信息
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reimburse_cls: ReimburseModel = await ReimburseService.query_item(session=session, row_dict={"id": reimburse_id})
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# 1. 没有审批单——
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# 2. 审批单为审批中状态——不处理
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# 3. 审批单为已通过状态——不处理
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# 4. 审批单为已驳回状态——
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# 5. 审批单为已撤回状态——
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# 2,3 的情况下不再提交报销单
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if reimburse_cls.approve:
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if reimburse_cls.approve.status == 'approving':
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return {"message": "报销单已提交审批，请勿重复提交！"}
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if reimburse_cls.approve.status == 'approved':
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return {"message": "报销单已通过审批，请勿重复提交！"}
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# 1,4,5 的情况下新建审批单
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# 创建审批单，使用新的审批单走审批流程
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new_approve_dict = {
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"title": f"{reimburse_cls.user.full_name} - 报销单审批",
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"description": reimburse_cls.title + (f" / {reimburse_cls.remarks}" if reimburse_cls.remarks else ""),
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"status": "approving",
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"amount": reimburse_cls.amount,
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"logs": "[]",
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"user_id": reimburse_cls.user_id, # 先把审批人的id设置为申请人
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"proj_id": reimburse_cls.proj_id,
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}
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insert_approve_cls = await ApproveService.item_insert(session=session, row_dict=new_approve_dict)
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# 将审批单与报销单管理，设置报销单的approve_id为审批单的id
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await ReimburseService.item_update(session=session, row_dict={"id": reimburse_id, "approve_id": insert_approve_cls.id}, )
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graph = create_approve_graph(session, checkpointer)
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await graph.ainvoke({
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"input_approve_dict": insert_approve_cls.model_dump(),
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"input_reimburse_user_id": reimburse_cls.user_id
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})
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return {"message": "报销单提交成功！"}
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# 创建一个图来处理审批流
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def create_approve_graph(
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session: AsyncSessionDep,
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checkpointer: AsyncPostgresSaverDep,
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):
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class StateSchema(TypedDict):
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input_reimburse_user_id: str
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input_approve_dict: dict
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status: str
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builder = StateGraph(StateSchema)
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async def node_create_approve(state: StateSchema):
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pass
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builder.add_node(node_create_approve)
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builder.add_edge(START, 'node_create_approve')
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builder.add_edge('node_create_approve', END)
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graph = builder.compile(checkpointer=checkpointer)
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return graph
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