pipeline-llm/wwwroot/api/llm_project_cost_query.dspy
yumoqing 69fe362dde feat(trace): 调用原文追踪「查看IO」前端闭环+按项目费用页(2026-09-10定夺落地)
- json/llm_call_trace_list.json: noedit只读列表;exclouded隐藏id/req_path/resp_path/org_id;
  url/note加宽;kind/method内联枚举(含gen同步生成,此前草稿引用的get_llm_kind_options.dspy不存在);
  删color_mapping(bricks全库0消费的死配置);toolbar查看IO+binds urlwidget→PopupWindow(85%)
  url不带?id=${id}$——生成期ArgsConvert会eval成<built-in function id>垃圾串,
  行数据id经_add_event_data自动并入params(dapi/llmage生产同款)
- api/llm_call_trace_io.dspy: 薄代理(get_user门禁+get_userorgid机构隔离)→env.llm_call_trace_io;
  修草稿4处实锤bug:get_user未await/user.get当dict/sor块外使用/返回PopupWindow套娃
- init.py: llm_call_trace_io读表+同批次+llm_usage上下文(块内读全拷dict)→读文件
  (trace.trace_root realpath前缀校验防穿越)→TabPanel三tab(摘要Html+pre escape防注入/
  请求/响应CodeEditor readonly mode=null);单侧150K截断提示盘上路径;env注册
- api/llm_project_cost_query.dspy: 改{total,rows}契约接Tabular data_url(PageDataLoader);
  wwwroot/llm_project_cost/index.ui: InlineForm(date_from/date_to/status)+Tabular;
  script内getWidgetById起点bricks.app(弹窗DOM挂body下,app.root搜不到)
- card_popup.dspy: titles加llm_call_trace;新增page_targets白名单挂按项目费用页;
  index.ui挂两张卡片(调用原文追踪/按项目费用)
- accounting.py: _maybe_cleanup_traces每日一次接cleanup_expired(trace.py铁律3
  文档承诺worker每日调但循环没接,补齐);放抢锁前(清理幂等多进程同日无害)
- scripts/load_path.py: 注释说明/**通配已覆盖新页面(rbac check_roles_path前缀匹配)
- models/mysql.ddl/README/design-spec: 9张表同步(kind补gen枚举;3.9节;F19/F20)
- scripts/test_llm_call_trace_io.py: stub harness 22断言全过(隔离/穿越/转义/截断/每日门控)
- .gitignore: wwwroot/llm_call_trace/生成目录不入库
2026-09-11 14:58:21 +08:00

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# llm_project_cost_query.dspy — 按项目统计费用2026-09-10 用户定夺)
# Tabular data_url 端点:出参必须是 {total, rows}PageDataLoader 契约),
# 模块函数返回 {success, rows, summary} → 此处重排;查询本身 LIMIT 500 不分页,
# total=len(rows) 即真实总数。summary 以 tailer 不适用,直接丢弃(页面顶部
# 统计如需再加)。
# 入参 params_kw: date_from? / date_to? / status?InlineForm 查询按钮注入)
uid = await get_user()
if not uid:
return {"total": 0, "rows": []}
pk = dict(params_kw or {})
data = json.loads(await llm_project_cost_query(pk))
if not data.get('success'):
return {"total": 0, "rows": []}
rows = data.get('rows') or []
return {"total": len(rows), "rows": rows}