feat(server): 工程骨架后端——上传 → 解析 → 清单最小链路
- core:配置(prod 拒绝默认密钥 / dev 短信 / 假模型)、租户事务 + 行级安全策略、 problem+json 错误码、信封加密与签名下载、对象存储、事务内入队、Valkey stream 事件流、权限点 - identity:手机号 HMAC 存储、注册、登录(挤下线需确认,API3)、服务端会话 - billing:额度流水只追加,预扣 / 结算 / 退回,一笔预扣只有一个结局 - document:分片上传、按文件头识别格式、Gotenberg 转换、文字层与稳定句子编号 - checklist:标注规则识别、模型抽取、三道校验、标注类条款规则兜底、重跑对齐 - ai:提示词注册表(extract.substantive v1 来自 S4 v2)、假模型、OpenAI 兼容供应商、ai_call 流水 - 迁移:data-model 基线、套餐、Procrastinate、会话状态函数 - 测试 30 个:租户隔离、额度、失败退回、对象加密、契约一致性 - Compose(含 migrate)、镜像、CI Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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37
server/src/bid_doctor/project/api.py
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37
server/src/bid_doctor/project/api.py
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from __future__ import annotations
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from typing import Any
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from uuid import UUID
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from fastapi import APIRouter, Query
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from pydantic import BaseModel, Field
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from bid_doctor.core.db import tenant_tx
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from bid_doctor.identity.deps import Ctx
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from bid_doctor.project import service, workbench
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router = APIRouter(tags=["projects"])
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class ProjectIn(BaseModel):
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name: str | None = Field(default=None, max_length=200)
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@router.get("/projects")
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async def list_projects(ctx: Ctx, limit: int = Query(default=20, ge=1, le=100)) -> dict[str, Any]:
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# TODO(工作台筛选):status / deadline / q / 游标分页,按 openapi.yaml 补齐
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async with tenant_tx(ctx) as s:
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return {"items": await workbench.rows(s, ctx, limit), "next_cursor": None}
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@router.post("/projects", status_code=201)
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async def create_project(body: ProjectIn, ctx: Ctx) -> dict[str, Any]:
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async with tenant_tx(ctx) as s:
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p = await service.create(s, ctx, body.name)
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return await workbench.detail(s, ctx, p.id)
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@router.get("/projects/{project_id}")
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async def get_project(project_id: UUID, ctx: Ctx) -> dict[str, Any]:
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async with tenant_tx(ctx) as s:
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return await workbench.detail(s, ctx, project_id)
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