- [P20260220-074542] 2026-02-20 07:45:42 +0800
  - summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Run All T…
  - prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:

---
## TASK 1: Run All Tasks for dataflow-field-completion spec

**STATUS**: done

**USER QUERIES**: Previous conversation context (Tasks 1-11 completed in prior sessions, Tasks 10-13 completed in this and prior session)

**DETAILS**: This was a "Run All Tasks" orchestration for the dataflow-field-completion spec covering field completion for 11 ODS/DWD tables, DWS inventory summary, documentation, admin-web frontend/backend integration, blackbox testing, and end-to-end validation. All 13 tasks completed including:
- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, DWS inventory summary
- Task 10: Backend ETL execution API, Frontend TaskManager, EtlTimer module, Property tests 5 & 7
- Task 11: ConsistencyChecker module, Property test 6
- Task 12: End-to-end integration (timer + checker integrated into FlowRunner, reports generated)
- Task 12.3: Browser-based front-end/back-end integration test completed via Playwright
- Task 13: Final checkpoint marked complete

**FILEPATHS**: `.kiro/specs/dataflow-field-completion/tasks.md`

---

## TASK 2: First Browser Integration Test (dry-run, ods_dwd)

**STATUS**: done

**USER QUERIES**: "前后端联调没做啊" (front-end/back-end integration testing wasn't done), "我来帮你登录", "好了，交给你了"

**DETAILS**: Successfully completed browser-based integration test using Playwright:
- Started frontend (`pnpm dev` on localhost:5173) and backend (`uvicorn` on localhost:8000)
- User logged in manually (admin user, bcrypt password in `test_zqyy_app.admin_users`)
- Playwright navigated to task config page, selected `ods_dwd` flow, checked dry-run + local JSON
- Clicked "直接执行" → auto-navigated to TaskManager history tab
- Result: status=success, duration=22.5s, exit_code=0
- Execution logs streamed via WebSocket to frontend Modal
- Timer report generated: `etl_timing_20260220_073610.md` (2 steps, 20.78s total)
- Consistency report generated: `consistency_report_20260220_073610.md`
- Updated `tasks.md` Task 12.3 with browser integration test results

**FILEPATHS**:
- `.kiro/specs/dataflow-field-completion/tasks.md`
- `export/ETL-Connectors/feiqiu/REPORTS/etl_timing_20260220_073610.md`
- `export/ETL-Connectors/feiqiu/REPORTS/consistency_report_20260220_073610.md`

---

## TASK 3: Full Production Integration Test (api_full, verify_only, custom window)

**STATUS**: in-progress

**USER QUERIES**: "任务2：web-admin 前后端联调：全部门店, api_full, 仅校验修复 且 校验前从 API 获取, 自定义范围 2025-11-01 到 2026-02-20, 窗口切分 10天, force-full, 全选常用"

**DETAILS**: User requested a full production-level integration test with specific parameters:
- All stores (全部门店)
- `api_full` flow
- Processing mode: `verify_only` (仅校验修复) with `fetch_before_verify` enabled (校验前从 API 获取)
- Custom time window: 2025-11-01 00:00 ~ 2026-02-20 00:00
- Window split: 10 days
- `force-full` enabled
- Select all common tasks (全选常用)
- Requirements: timer mechanism for detailed step timing, blackbox test report after completion

The frontend dev server was just started (processId: 6, `pnpm dev` in `apps/admin-web`). Backend should already be running (user started it manually). No Playwright actions have been taken yet for this task.

User also mentioned: "注意任务执行的常识，如果极短时间内退出，则一定有问题。之前的报告，很多是字段类型数字/字符不一样，需要你标准化字段类型。防止因字段类型不同引发的比对甚至入库问题！" — This means the agent should watch for quick exits (indicating errors) and pay attention to field type mismatches (number vs string) in the consistency report.

**NEXT STEPS**:
1. Navigate Playwright to `http://localhost:5173` (frontend should be running on processId 6)
2. Verify user is still logged in (check localStorage for access_token)
3. Configure the task in the UI:
   - Select all stores (全部门店) — currently only 1 store (2790685415443269)
   - Select `api_full` flow
   - Select "仅校验修复" (verify_only) processing mode
   - Enable "校验前从 API 获取" (fetch_before_verify) checkbox
   - Switch to "自定义范围" time window mode
   - Set window_start = 2025-11-01 00:00, window_end = 2026-02-20 00:00
   - Set window split = 10天
   - Check `force-full`
   - Click "全选常用" button to select all common tasks
4. Verify CLI command preview is correct
5. Click "直接执行"
6. Monitor execution — watch for quick exits (error indicator)
7. After completion, check execution history for status/duration/exit_code
8. View execution logs in the detail Modal
9. Check generated reports: `etl_timing_*.md` and `consistency_report_*.md`
10. Analyze timing report for slow steps
11. Analyze consistency report for field type mismatches (number vs string)
12. If field type issues found, fix them in the ETL code and re-run

**KEY ARCHITECTURE** (for new agent reference):
- Frontend: React + Vite + Ant Design at `apps/admin-web/` (localhost:5173)
- Backend: FastAPI at `apps/backend/` (localhost:8000)
- Vite proxy: `/api` → `http://localhost:8000`, `/ws` → `ws://localhost:8000`
- Frontend API client: `apps/admin-web/src/api/client.ts` (axios with JWT interceptor, baseURL="/api")
- Frontend execution API: `apps/admin-web/src/api/execution.ts` (submitToQueue, executeDirectly, fetchHistory, etc.)
- Frontend types: `apps/admin-web/src/types/index.ts` (TaskConfig, QueuedTask, ExecutionLog, etc.)
- Backend execution router: `apps/backend/app/routers/execution.py` (POST /api/execution/run, GET /api/execution/history, etc.)
- Backend CLI builder: `apps/backend/app/services/cli_builder.py` (converts TaskConfigSchema → CLI args)
- Backend task executor: `apps/backend/app/services/task_executor.py` (runs ETL subprocess, broadcasts logs)
- Backend schemas: `apps/backend/app/schemas/tasks.py` (TaskConfigSchema Pydantic model)
- WebSocket logs: `apps/backend/app/ws/logs.py` (WS /ws/logs/{execution_id})
- ETL timer: `apps/etl/connectors/feiqiu/utils/timer.py` (EtlTimer class)
- ETL consistency checker: `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
- ETL flow runner: `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` (timer + checker integrated)
- Auth: POST /api/auth/login → JWT tokens stored in localStorage (access_token, refresh_token)
- DB: admin user in `test_zqyy_app.admin_users` (username=admin, site_id=2790685415443269)

**FILEPATHS**:
- `apps/admin-web/src/pages/TaskManager.tsx`
- `apps/admin-web/src/api/execution.ts`
- `apps/admin-web/src/api/client.ts`
- `apps/admin-web/src/types/index.ts`
- `apps/backend/app/routers/execution.py`
- `apps/backend/app/services/cli_builder.py`
- `apps/backend/app/services/task_executor.py`
- `apps/backend/app/schemas/tasks.py`
- `apps/backend/app/ws/logs.py`
- `apps/etl/connectors/feiqiu/utils/timer.py`
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`

---

## USER CORRECTIONS AND INSTRUCTIONS:
- All output text must be in simplified Chinese (language-zh.md steering)
- All file outputs must go through `export/` directory structure via `.env` environment variables (export-paths.md steering)
- Changes to high-risk paths require `/audit` trigger
- Python scripts preferred over PowerShell for complex operations
- "如果极短时间内退出，则一定有问题" — if ETL exits very quickly, something is wrong
- "之前的报告，很多是字段类型数字/字符不一样，需要你标准化字段类型" — previous consistency reports showed field type mismatches (number vs string), need to standardize field types to prevent comparison and ingestion issues
- Timer report output: `ETL_REPORT_ROOT` env var
- Consistency report output: `ETL_REPORT_ROOT` env var
- API sample cache: `API_SAMPLE_CACHE_ROOT` env var
- ETL unit tests: `cd apps/etl/connectors/feiqiu && pytest tests/unit`
- Property tests: `cd C:\NeoZQYY && pytest tests/ -v`
- There are 6 pre-existing test failures unrelated to this spec
- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
- Frontend dev server is running as processId 6 (`pnpm dev` in `apps/admin-web`)
- Backend server was started by user manually (`uv run uvicorn app.main:app --reload` in `apps/backend`)

## Files to read
- `apps/admin-web/src/pages/TaskManager.tsx`
- `apps/admin-web/src/types/index.ts`
- `apps/backend/app/services/cli_builder.py`
- `apps/backend/app/schemas/tasks.py`
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
- `apps/etl/connectors/feiqiu/utils/timer.py`

USER QUERIES(most recent first):
1. # 任务2：web-admin 前后端联调：- 全部门店。- api_full- 仅校验修复 且 校验前从 API 获取- 自定义范围 2025-11-01 0:00 到 2026-02-20 0:00  窗口切分 10天- force-full- 全选常用功能：- 调通前端逻辑和后端功能。- 保证选中的任务数据处理正确，做好回归测试和数据检验。- 启动计时器机制，对每个步骤和分步骤进行计时，输出详细颗粒度的计时结果文档。之后总结耗时长的项目或步骤。- 启动黑盒测试机制：在顺利完成所有步骤后，以一个黑盒测试者的角度，黑盒方式，检查数据源和落库数据/字段情况是否一致。输出一个黑盒测试报告。
2. Output:
Command executed successfully with no output.

Exit Code: 0
3. Output:
Command executed successfully with no output.

Exit Code: 0
4. # 任务2：web-admin 前后端联调：- 全部门店。- api_full- 仅校验修复 且 校验前从 API 获取- 自定义范围 2025-11-01 0:00 到 2026-02-20 0:00  窗口切分 10天- force-full- 全选常用功能：- 调通前端逻辑和后端功能。- 保证选中的任务数据处理正确，做好回归测试和数据检验。- 启动计时器机制，对每个步骤和分步骤进行计时，输出详细颗粒度的计时结果文档。之后总结耗时长的项目或步骤。- 启动黑盒测试机制：在顺利完成所有步骤后，以一个黑盒测试者的角度，黑盒方式，检查数据源和落库数据/字段情况是否一致。输出一个黑盒测试报告。
5. Output:
Command executed successfully with no output.

Exit Code: 0
6. Output:
Command executed successfully with no output.

Exit Code: 0
7. Output:
Command executed successfully with no output.

Exit Code: 0
8. 好了，交给你了，注意任务执行的常识，如果极短时间内退出，则一定有问题。之前的报告，很多是字段类型数字/字符不一样，需要你标准化字段类型。防止因字段类型不同引发的比对甚至入库问题！
9. Output:
Hook execution failed with exit code 1.

Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:admin-web, dir:backend, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)



Exit Code: 1
10. Output:
Command executed successfully with no output.

Exit Code: 0
11. Output:
Command executed successfully with no output.

Exit Code: 0
12. 我来帮你登录
13. Output:
Command executed successfully with no output.

Exit Code: 0
14. Output:
Command executed successfully with no output.

Exit Code: 0
---

METADATA:
The previous conversation had 8 messages.

INSTRUCTIONS:
Continue working until the user query has been fully addressed. Do not ask for clarification - proceed with the work based on the context provided.
IMPORTANT: you need to read from the files to Read section
```
