在前后端开发联调前 的提交20260223
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docs/audit/prompt_logs/prompt_log_20260220_074542.md
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docs/audit/prompt_logs/prompt_log_20260220_074542.md
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- [P20260220-074542] 2026-02-20 07:45:42 +0800
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- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Run All T…
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- prompt:
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```text
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CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
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---
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## TASK 1: Run All Tasks for dataflow-field-completion spec
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**STATUS**: done
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**USER QUERIES**: Previous conversation context (Tasks 1-11 completed in prior sessions, Tasks 10-13 completed in this and prior session)
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**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:
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- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, DWS inventory summary
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- Task 10: Backend ETL execution API, Frontend TaskManager, EtlTimer module, Property tests 5 & 7
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- Task 11: ConsistencyChecker module, Property test 6
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- Task 12: End-to-end integration (timer + checker integrated into FlowRunner, reports generated)
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- Task 12.3: Browser-based front-end/back-end integration test completed via Playwright
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- Task 13: Final checkpoint marked complete
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**FILEPATHS**: `.kiro/specs/dataflow-field-completion/tasks.md`
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---
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## TASK 2: First Browser Integration Test (dry-run, ods_dwd)
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**STATUS**: done
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**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"
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**DETAILS**: Successfully completed browser-based integration test using Playwright:
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- Started frontend (`pnpm dev` on localhost:5173) and backend (`uvicorn` on localhost:8000)
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- User logged in manually (admin user, bcrypt password in `test_zqyy_app.admin_users`)
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- Playwright navigated to task config page, selected `ods_dwd` flow, checked dry-run + local JSON
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- Clicked "直接执行" → auto-navigated to TaskManager history tab
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- Result: status=success, duration=22.5s, exit_code=0
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- Execution logs streamed via WebSocket to frontend Modal
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- Timer report generated: `etl_timing_20260220_073610.md` (2 steps, 20.78s total)
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- Consistency report generated: `consistency_report_20260220_073610.md`
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- Updated `tasks.md` Task 12.3 with browser integration test results
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**FILEPATHS**:
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- `.kiro/specs/dataflow-field-completion/tasks.md`
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- `export/ETL-Connectors/feiqiu/REPORTS/etl_timing_20260220_073610.md`
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- `export/ETL-Connectors/feiqiu/REPORTS/consistency_report_20260220_073610.md`
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---
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## TASK 3: Full Production Integration Test (api_full, verify_only, custom window)
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**STATUS**: in-progress
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**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"
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**DETAILS**: User requested a full production-level integration test with specific parameters:
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- All stores (全部门店)
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- `api_full` flow
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- Processing mode: `verify_only` (仅校验修复) with `fetch_before_verify` enabled (校验前从 API 获取)
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- Custom time window: 2025-11-01 00:00 ~ 2026-02-20 00:00
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- Window split: 10 days
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- `force-full` enabled
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- Select all common tasks (全选常用)
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- Requirements: timer mechanism for detailed step timing, blackbox test report after completion
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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.
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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.
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**NEXT STEPS**:
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1. Navigate Playwright to `http://localhost:5173` (frontend should be running on processId 6)
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2. Verify user is still logged in (check localStorage for access_token)
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3. Configure the task in the UI:
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- Select all stores (全部门店) — currently only 1 store (2790685415443269)
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- Select `api_full` flow
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- Select "仅校验修复" (verify_only) processing mode
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- Enable "校验前从 API 获取" (fetch_before_verify) checkbox
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- Switch to "自定义范围" time window mode
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- Set window_start = 2025-11-01 00:00, window_end = 2026-02-20 00:00
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- Set window split = 10天
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- Check `force-full`
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- Click "全选常用" button to select all common tasks
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4. Verify CLI command preview is correct
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5. Click "直接执行"
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6. Monitor execution — watch for quick exits (error indicator)
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7. After completion, check execution history for status/duration/exit_code
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8. View execution logs in the detail Modal
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9. Check generated reports: `etl_timing_*.md` and `consistency_report_*.md`
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10. Analyze timing report for slow steps
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11. Analyze consistency report for field type mismatches (number vs string)
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12. If field type issues found, fix them in the ETL code and re-run
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**KEY ARCHITECTURE** (for new agent reference):
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- Frontend: React + Vite + Ant Design at `apps/admin-web/` (localhost:5173)
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- Backend: FastAPI at `apps/backend/` (localhost:8000)
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- Vite proxy: `/api` → `http://localhost:8000`, `/ws` → `ws://localhost:8000`
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- Frontend API client: `apps/admin-web/src/api/client.ts` (axios with JWT interceptor, baseURL="/api")
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- Frontend execution API: `apps/admin-web/src/api/execution.ts` (submitToQueue, executeDirectly, fetchHistory, etc.)
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- Frontend types: `apps/admin-web/src/types/index.ts` (TaskConfig, QueuedTask, ExecutionLog, etc.)
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- Backend execution router: `apps/backend/app/routers/execution.py` (POST /api/execution/run, GET /api/execution/history, etc.)
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- Backend CLI builder: `apps/backend/app/services/cli_builder.py` (converts TaskConfigSchema → CLI args)
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- Backend task executor: `apps/backend/app/services/task_executor.py` (runs ETL subprocess, broadcasts logs)
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- Backend schemas: `apps/backend/app/schemas/tasks.py` (TaskConfigSchema Pydantic model)
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- WebSocket logs: `apps/backend/app/ws/logs.py` (WS /ws/logs/{execution_id})
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- ETL timer: `apps/etl/connectors/feiqiu/utils/timer.py` (EtlTimer class)
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- ETL consistency checker: `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
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- ETL flow runner: `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` (timer + checker integrated)
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- Auth: POST /api/auth/login → JWT tokens stored in localStorage (access_token, refresh_token)
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- DB: admin user in `test_zqyy_app.admin_users` (username=admin, site_id=2790685415443269)
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**FILEPATHS**:
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- `apps/admin-web/src/pages/TaskManager.tsx`
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- `apps/admin-web/src/api/execution.ts`
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- `apps/admin-web/src/api/client.ts`
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- `apps/admin-web/src/types/index.ts`
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- `apps/backend/app/routers/execution.py`
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- `apps/backend/app/services/cli_builder.py`
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- `apps/backend/app/services/task_executor.py`
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- `apps/backend/app/schemas/tasks.py`
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- `apps/backend/app/ws/logs.py`
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- `apps/etl/connectors/feiqiu/utils/timer.py`
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- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
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- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
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---
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## USER CORRECTIONS AND INSTRUCTIONS:
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- All output text must be in simplified Chinese (language-zh.md steering)
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- All file outputs must go through `export/` directory structure via `.env` environment variables (export-paths.md steering)
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- Changes to high-risk paths require `/audit` trigger
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- Python scripts preferred over PowerShell for complex operations
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- "如果极短时间内退出,则一定有问题" — if ETL exits very quickly, something is wrong
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- "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
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- Timer report output: `ETL_REPORT_ROOT` env var
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- Consistency report output: `ETL_REPORT_ROOT` env var
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- API sample cache: `API_SAMPLE_CACHE_ROOT` env var
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- ETL unit tests: `cd apps/etl/connectors/feiqiu && pytest tests/unit`
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- Property tests: `cd C:\NeoZQYY && pytest tests/ -v`
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- There are 6 pre-existing test failures unrelated to this spec
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- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
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- Frontend dev server is running as processId 6 (`pnpm dev` in `apps/admin-web`)
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- Backend server was started by user manually (`uv run uvicorn app.main:app --reload` in `apps/backend`)
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## Files to read
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- `apps/admin-web/src/pages/TaskManager.tsx`
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- `apps/admin-web/src/types/index.ts`
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- `apps/backend/app/services/cli_builder.py`
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- `apps/backend/app/schemas/tasks.py`
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- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
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- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
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- `apps/etl/connectors/feiqiu/utils/timer.py`
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USER QUERIES(most recent first):
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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。
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2. Output:
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Command executed successfully with no output.
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Exit Code: 0
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3. Output:
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Command executed successfully with no output.
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Exit Code: 0
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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。
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5. Output:
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Command executed successfully with no output.
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Exit Code: 0
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6. Output:
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Command executed successfully with no output.
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Exit Code: 0
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7. Output:
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Command executed successfully with no output.
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Exit Code: 0
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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!
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9. Output:
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Hook execution failed with exit code 1.
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Error output:
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[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)
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Exit Code: 1
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10. Output:
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Command executed successfully with no output.
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Exit Code: 0
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11. Output:
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Command executed successfully with no output.
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Exit Code: 0
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12. 我来帮你登录
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13. Output:
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Command executed successfully with no output.
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Exit Code: 0
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14. Output:
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Command executed successfully with no output.
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Exit Code: 0
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---
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METADATA:
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The previous conversation had 8 messages.
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INSTRUCTIONS:
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Continue working until the user query has been fully addressed. Do not ask for clarification - proceed with the work based on the context provided.
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IMPORTANT: you need to read from the files to Read section
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