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Author SHA1 Message Date
Neo
66c9ae8738 chore: 迁移项目路径 C:\NeoZQYY → C:\Project\NeoZQYY 
开发环境从旧虚拟机 (DESKTOP-KGB0K5G) 迁移到新机器 (DESKTOP-D676QDA)，
项目目录从 C:\NeoZQYY 变更为 C:\Project\NeoZQYY，
批量替换 126 个文件中的绝对路径引用。

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-04-10 06:45:29 +08:00
126 changed files with 4154 additions and 4127 deletions
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81
.env
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@@ -77,52 +77,64 @@ BUSINESS_DAY_START_HOUR=8
# ETL Connector（飞球）输出路径
# ------------------------------------------------------------------------------
# JSON 导出根目录（ODS 抓取落盘，按 TASK_CODE/run_id 自动建子目录）
EXPORT_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
EXPORT_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
# ETL 运行日志根目录
LOG_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
LOG_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
# 在线抓取 JSON 输出根目录（FETCH_ONLY 模式使用）
FETCH_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
FETCH_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
# ETL 质检/完整性报告输出目录
ETL_REPORT_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS
ETL_REPORT_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS
# ------------------------------------------------------------------------------
# 系统级输出路径
# ------------------------------------------------------------------------------
# 数据流结构分析报告输出目录（gen_dataflow_report.py / analyze_dataflow.py）
SYSTEM_ANALYZE_ROOT=C:/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis
SYSTEM_ANALYZE_ROOT=C:/Project/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis
# 字段排查报告输出目录（field_audit.py）
FIELD_AUDIT_ROOT=C:/NeoZQYY/export/SYSTEM/REPORTS/field_audit
FIELD_AUDIT_ROOT=C:/Project/NeoZQYY/export/SYSTEM/REPORTS/field_audit
# 全链路数据流文档输出目录（gen_full_dataflow_doc.py）
FULL_DATAFLOW_DOC_ROOT=C:/NeoZQYY/export/SYSTEM/REPORTS/full_dataflow_doc
FULL_DATAFLOW_DOC_ROOT=C:/Project/NeoZQYY/export/SYSTEM/REPORTS/full_dataflow_doc
# API 样本缓存目录（gen_full_dataflow_doc.py 的 24h 缓存）
API_SAMPLE_CACHE_ROOT=C:/NeoZQYY/export/SYSTEM/CACHE/api_samples
API_SAMPLE_CACHE_ROOT=C:/Project/NeoZQYY/export/SYSTEM/CACHE/api_samples
# 系统级运维日志目录
SYSTEM_LOG_ROOT=C:/NeoZQYY/export/SYSTEM/LOGS
SYSTEM_LOG_ROOT=C:/Project/NeoZQYY/export/SYSTEM/LOGS
# ------------------------------------------------------------------------------
# 后端输出路径（预留）
# ------------------------------------------------------------------------------
# 后端结构化日志目录
BACKEND_LOG_ROOT=C:/NeoZQYY/export/BACKEND/LOGS
BACKEND_LOG_ROOT=C:/Project/NeoZQYY/export/BACKEND/LOGS
# 用户头像存储目录
AVATAR_EXPORT_PATH=C:/Project/NeoZQYY/export/BACKEND/avatars
# ------------------------------------------------------------------------------
# 阿里云百炼 AI 配置
# DashScope AI 配置（百炼 Application API）
# CHANGE 2026-02-23 | 从 PRD 文档迁移至 .env，禁止在文档中明文存放
# CHANGE P14 | BAILIAN_* → DASHSCOPE_*；移除 BASE_URL/MODEL（Application API 不需要）
# ------------------------------------------------------------------------------
BAILIAN_API_KEY=sk-6def29cab3474cc797e52b82a46a5dba
BAILIAN_MODEL=qwen-plus
BAILIAN_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
BAILIAN_TEST_APP_ID=541edb3d5fcd4c18b13cbad81bb5fb9d
DASHSCOPE_API_KEY=sk-6def29cab3474cc797e52b82a46a5dba
DASHSCOPE_WORKSPACE_ID=
# CHANGE 2026-03-05 | 8 个百炼 AI 应用 ID（从百炼平台获取，2026-03-05 更新）
BAILIAN_APP_ID_1_CHAT=979dabe6f22a43989632b8c662cac97c
BAILIAN_APP_ID_2_FINANCE=1dcdb5f39c3040b6af8ef79215b9b051
BAILIAN_APP_ID_3_CLUE=708bf45439cd48c7ab9a514d03482890
BAILIAN_APP_ID_4_ANALYSIS=ea7b1c374f574b9a925a2fb5789a9b90
BAILIAN_APP_ID_5_TACTICS=46f54e6053df4bb0b83be29366025cf6
BAILIAN_APP_ID_6_NOTE=025bb344146b4e4e8be30c444adab3b4
BAILIAN_APP_ID_7_CUSTOMER=df35e06991b24d49971c03c6428a9c87
BAILIAN_APP_ID_8_CONSOLIDATE=407dfb89283b4196934eec5fefe3ebc2
# 8 个百炼 AI 应用 ID（从百炼平台获取，通过 app_id 指定应用）
# 应用 1：通用对话 | 应用 2：财务洞察 | 应用 3：客户数据维客线索分析
# 应用 4：关系分析/任务建议 | 应用 5：话术参考 | 应用 6：备注分析
# 应用 7：客户分析 | 应用 8：维客线索整理
DASHSCOPE_APP_ID_1_CHAT=979dabe6f22a43989632b8c662cac97c
DASHSCOPE_APP_ID_2_FINANCE=1dcdb5f39c3040b6af8ef79215b9b051
DASHSCOPE_APP_ID_3_CLUE=708bf45439cd48c7ab9a514d03482890
DASHSCOPE_APP_ID_4_ANALYSIS=ea7b1c374f574b9a925a2fb5789a9b90
DASHSCOPE_APP_ID_5_TACTICS=46f54e6053df4bb0b83be29366025cf6
DASHSCOPE_APP_ID_6_NOTE=025bb344146b4e4e8be30c444adab3b4
DASHSCOPE_APP_ID_7_CUSTOMER=df35e06991b24d49971c03c6428a9c87
DASHSCOPE_APP_ID_8_CONSOLIDATE=407dfb89283b4196934eec5fefe3ebc2
# 应用 9：Session 日志摘要生成（Kiro agent_on_stop + batch_generate_summaries 使用）
DASHSCOPE_APP_ID_SUMMARY=e0cf8913b1ee4a4eb9464cc1ee0bf300
# 内部 API 认证 token（ETL 等内部服务调用 /api/internal/* 端点时使用）
INTERNAL_API_TOKEN=C4Rs45fEoMC3u2PR4-jvakl8SBYpU9kV7JFiTj-TJAc
# 后端 API 地址（ETL 触发 AI 事件时使用，如 http://localhost:8000）
BACKEND_API_URL=http://localhost:8000
# ------------------------------------------------------------------------------
# 微信小程序
@@ -144,6 +156,21 @@ PIPELINE_RATE_MAX=2.0
# 后端运维面板路径配置
# CHANGE 2026-03-06 | 显式锁定，避免 __file__ 推算在不同部署环境指向错误路径
# ------------------------------------------------------------------------------
OPS_SERVER_BASE=C:/NeoZQYY
ETL_PROJECT_PATH=C:/NeoZQYY/apps/etl/connectors/feiqiu
ETL_PYTHON_EXECUTABLE=C:/NeoZQYY/.venv/Scripts/python.exe
OPS_SERVER_BASE=C:/Project/NeoZQYY
ETL_PROJECT_PATH=C:/Project/NeoZQYY/apps/etl/connectors/feiqiu
ETL_PYTHON_EXECUTABLE=C:/Project/NeoZQYY/.venv/Scripts/python.exe
# === Dev Trace Log ===
# 全链路请求追踪日志（仅开发/测试环境使用，生产环境关闭）
DEV_TRACE_ENABLED=true
DEV_TRACE_LOG_DIR=export/dev-trace-logs
DEV_TRACE_LOG_RETENTION_DAYS=7
DEV_TRACE_LOG_SQL=true
DEV_TRACE_LOG_PARAMS=true
# ------------------------------------------------------------------------------
# DWS 工资计算配置
# CHANGE 2026-03-27 | 允许非月初结算期运行工资计算任务（临时开关）
# 正常调度只在月初 1-5 号跑上月工资，此开关允许月中手动跑当月工资
# ------------------------------------------------------------------------------
DWS_SALARY_ALLOW_OUT_OF_CYCLE=true

2
.kiro/specs/01-miniapp-db-foundation/tasks.md
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@@ -96,7 +96,7 @@
- [x] 6. Final checkpoint — 全量验证
- 运行验证脚本 `python scripts/ops/validate_p1_db_foundation.py`，确认所有检查项通过
- 运行属性测试 `cd C:\NeoZQYY && pytest tests/ -v -k p1`，确认所有属性测试通过
- 运行属性测试 `cd C:\Project\NeoZQYY && pytest tests/ -v -k p1`，确认所有属性测试通过
- 如有问题请告知用户
## 说明

2
.kiro/specs/02-etl-dws-miniapp-extensions/design.md
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@@ -556,7 +556,7 @@ def test_penalty_minutes_formula(actual_minutes, per_hour_contribution):
### 测试配置
- 属性测试：`cd C:\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 单元测试：`cd apps/etl/connectors/feiqiu && pytest tests/unit/test_assistant_order_contribution.py -v`
- 每个属性测试标注 `@settings(max_examples=200)`
- 每个属性测试注释引用设计文档 Property 编号

6
.kiro/specs/02-etl-dws-miniapp-extensions/tasks.md
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@@ -65,7 +65,7 @@
- _Requirements: 2.7, 2.8_
- [x] 3. 检查点 — 确保助教订单流水统计测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 确保所有属性测试通过，如有问题请询问用户。
- [x] 4. 扩展会员消费汇总任务
@@ -106,7 +106,7 @@
- **Validates: Requirements 6.1**
- [x] 6. 检查点 — 确保惩罚计算和消费汇总测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 运行单元测试：`cd apps/etl/connectors/feiqiu && pytest tests/unit/ -k "contribution or penalty or consumption" -v`
- 确保所有测试通过，如有问题请询问用户。
@@ -139,7 +139,7 @@
- _Requirements: 1.1_
- [x] 9. 最终检查点 — 确保所有测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_dws_contribution_properties.py -v`
- 运行单元测试：`cd apps/etl/connectors/feiqiu && pytest tests/unit/ -k "contribution or penalty or consumption" -v`
- 确保所有测试通过，如有问题请询问用户。

2
.kiro/specs/04-miniapp-core-business/design.md
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@@ -1107,7 +1107,7 @@ ON CONFLICT (job_name) DO NOTHING;
### 测试配置
- 属性测试：`cd C:\NeoZQYY && pytest tests/test_core_business_properties.py -v`
- 属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_core_business_properties.py -v`
- 后端单元测试：`cd apps/backend && pytest tests/ -v`
- 每个属性测试标注 `@settings(max_examples=200)`
- 每个属性测试注释引用设计文档 Property 编号

6
.kiro/specs/04-miniapp-core-business/tasks.md
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@@ -116,7 +116,7 @@
- **Validates: Requirements 4.1, 4.2, 4.3, 4.4, 14.3**
- [x] 6. 检查点 - 确保任务生成器测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_core_business_properties.py -v -k "property_1 or property_2 or property_3 or property_4"`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_core_business_properties.py -v -k "property_1 or property_2 or property_3 or property_4"`
- 确保所有属性测试通过，如有问题请向用户确认。
- [x] 7. 实现任务管理服务
@@ -160,7 +160,7 @@
- **Validates: Requirements 6.2, 6.3, 14.6**
- [x] 10. 检查点 - 确保任务管理和召回检测测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_core_business_properties.py -v -k "property_5 or property_6 or property_10 or property_15"`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_core_business_properties.py -v -k "property_5 or property_6 or property_10 or property_15"`
- 确保所有属性测试通过，如有问题请向用户确认。
- [-] 11. 实现备注系统
@@ -215,7 +215,7 @@
- _Requirements: 10.1-10.6_
- [x] 13. 检查点 - 确保所有测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_core_business_properties.py -v`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_core_business_properties.py -v`
- 26/26 全部通过（16.81s）
- [x] 14. 最终检查点 - 全量验证

2
.kiro/specs/[ETL]-fullstack-integration/design.md
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@@ -161,7 +161,7 @@ if api_val is not None and ods_val is None:
联调脚本在 ETL 全流程执行完成后，运行全链路检查器：
```bash
cd C:\NeoZQYY
cd C:\Project\NeoZQYY
uv run python scripts/ops/etl_consistency_check.py
```

2
.kiro/specs/[ETL]-fullstack-integration/tasks.md
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@@ -80,7 +80,7 @@
- [x] 5. 黑盒数据一致性测试
- [x] 5.1 运行全链路检查器，执行 API→ODS→DWD→DWS 四层数据一致性检查
- 运行 `uv run python scripts/ops/etl_consistency_check.py`（cwd 为项目根目录 `C:\NeoZQYY`）
- 运行 `uv run python scripts/ops/etl_consistency_check.py`（cwd 为项目根目录 `C:\Project\NeoZQYY`）
- 脚本自动从 `LOG_ROOT` 找到最近一次 ETL 日志，解析本次执行的任务列表
- 脚本自动从 `FETCH_ROOT` 读取 API JSON 落盘文件
- 脚本连接数据库（`PG_DSN`），逐表逐字段比对：

2
.kiro/specs/assistant-abolish-cleanup/tasks.md
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@@ -86,7 +86,7 @@
- _Requirements: 8.3_
- [x] 9. 最终 Checkpoint — 确保所有测试通过
- 运行 `cd apps/etl/connectors/feiqiu && pytest tests/unit` 和 `cd C:\NeoZQYY && pytest tests/ -v`
- 运行 `cd apps/etl/connectors/feiqiu && pytest tests/unit` 和 `cd C:\Project\NeoZQYY && pytest tests/ -v`
- 确认所有测试通过，无回归，如有问题请询问用户。
- _Requirements: 7.3, 9.1, 9.2, 9.3_

2
.kiro/specs/business-day-cutoff/design.md
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@@ -419,4 +419,4 @@ def test_business_date_round_trip(dt, h):
- 属性测试库：`hypothesis`（已在项目 `pyproject.toml` 中声明）
- 每个属性测试对应设计文档中的一个 Property，由单个 `@given` 装饰的测试函数实现
- 运行命令：`cd C:\NeoZQYY && pytest tests/test_property_business_day_cutoff.py -v`
- 运行命令：`cd C:\Project\NeoZQYY && pytest tests/test_property_business_day_cutoff.py -v`

2
.kiro/specs/business-day-cutoff/tasks.md
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@@ -246,7 +246,7 @@
- _Requirements: 12.4, 12.5_
- [x] 15. Final Checkpoint — 全量验证
- 确保所有属性测试通过：`cd C:\NeoZQYY && pytest tests/test_property_business_day_cutoff.py -v`
- 确保所有属性测试通过：`cd C:\Project\NeoZQYY && pytest tests/test_property_business_day_cutoff.py -v`
- 确保 ETL 单元测试通过：`cd apps/etl/connectors/feiqiu && pytest tests/unit -v`
- 确认所有 12 项需求的验收标准均有对应任务覆盖
- 如有问题请向用户确认。

4
.kiro/specs/dwd-business-panorama/design.md
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@@ -432,9 +432,9 @@ flowchart TD
```bash
# 属性测试（Monorepo 级）
cd C:\NeoZQYY && pytest tests/test_dwd_panorama_properties.py -v
cd C:\Project\NeoZQYY && pytest tests/test_dwd_panorama_properties.py -v
# 单元测试
cd C:\NeoZQYY && pytest tests/test_dwd_panorama_examples.py -v
cd C:\Project\NeoZQYY && pytest tests/test_dwd_panorama_examples.py -v
```

4
.kiro/specs/dwd-business-panorama/tasks.md
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@@ -262,8 +262,8 @@
- _Requirements: 1.6, 1.7, 2.2, 2.5, 2.7, 3.5, 3.7, 4.5, 7.2, 7.4_
- [x] 10. 最终检查点 - 全部完成确认
- 运行全部属性测试：`cd C:\NeoZQYY && pytest tests/test_dwd_panorama_properties.py -v`
- 运行全部示例测试：`cd C:\NeoZQYY && pytest tests/test_dwd_panorama_examples.py -v`
- 运行全部属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_dwd_panorama_properties.py -v`
- 运行全部示例测试：`cd C:\Project\NeoZQYY && pytest tests/test_dwd_panorama_examples.py -v`
- 确认 5 份文档内容完整、验证状态标注齐全
- Ensure all tests pass, ask the user if questions arise.

4
.kiro/specs/dwd-phase1-refactor/tasks.md
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@@ -39,7 +39,7 @@
- 文件：`tests/test_dwd_phase1_properties.py`
- [x] 3. 检查点 - 确保窗口统一和回补删除后测试通过
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit` 和 `cd C:\NeoZQYY && pytest tests/ -v`，确保所有测试通过，如有问题请询问用户。
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit` 和 `cd C:\Project\NeoZQYY && pytest tests/ -v`，确保所有测试通过，如有问题请询问用户。
- [x] 4. 清理死代码和未使用常量（需求 3）
- [x] 4.1 删除 `_pick_order_column()` 方法和 `FACT_ORDER_CANDIDATES` 常量
@@ -85,7 +85,7 @@
- 文件：`tests/test_dwd_phase1_properties.py`
- [x] 7. 最终检查点 - 确保所有测试通过
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit` 和 `cd C:\NeoZQYY && pytest tests/ -v`，确保所有测试通过，如有问题请询问用户。
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit` 和 `cd C:\Project\NeoZQYY && pytest tests/ -v`，确保所有测试通过，如有问题请询问用户。
## 备注

6
.kiro/specs/etl-dws-flow-refactor/tasks.md
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@@ -122,7 +122,7 @@
- [x] 7. 检查点 - 阶段 2+3 回归测试
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit -v` 确保所有测试通过
- 运行 `cd C:\NeoZQYY && pytest tests/ -v` 确保 Monorepo 属性测试通过
- 运行 `cd C:\Project\NeoZQYY && pytest tests/ -v` 确保 Monorepo 属性测试通过
- 确保所有测试通过，如有问题请询问用户
- [x] 8. 关键词重命名 pipeline → flow
@@ -160,7 +160,7 @@
- [x] 9.3 运行全量测试确认路径重命名无回归
- `cd apps/etl/connectors/feiqiu && pytest tests/unit -v`
- `cd C:\NeoZQYY && pytest tests/ -v`
- `cd C:\Project\NeoZQYY && pytest tests/ -v`
- _Requirements: 10.5_
- [x] 10. 文档同步更新
@@ -177,7 +177,7 @@
- [x] 11. 最终检查点 - 全量回归测试
- 运行 `cd apps/etl/connectors/feiqiu && pytest tests/unit -v`
- 运行 `cd C:\NeoZQYY && pytest tests/ -v`
- 运行 `cd C:\Project\NeoZQYY && pytest tests/ -v`
- 确保所有测试通过，如有问题请询问用户
- _Requirements: 11.1, 11.2, 11.3, 11.4, 11.5_

2
.kiro/specs/ods-dedup-standardize/tasks.md
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@@ -130,7 +130,7 @@
- [x] 9. 最终检查点
- 确保所有测试通过，ask the user if questions arise.
- 运行 `cd apps/etl/pipelines/feiqiu && pytest tests/unit -v`
- 运行 `cd C:\NeoZQYY && pytest tests/ -v`（monorepo 属性测试）
- 运行 `cd C:\Project\NeoZQYY && pytest tests/ -v`（monorepo 属性测试）
## 备注

2
.kiro/specs/rns1-board-apis/tasks.md
View File

@@ -280,7 +280,7 @@
- **Validates: Requirements 8.9, 8.10 — Design Property 14**
- [x] 17. Final Checkpoint — 全量验证
- Run all property tests: `cd C:\NeoZQYY && pytest tests/test_board_properties.py -v`
- Run all property tests: `cd C:\Project\NeoZQYY && pytest tests/test_board_properties.py -v`
- Ensure all 12 property tests pass. Ask the user if questions arise.
- [x] 18. 前端到数据库全链路测试

4
.kiro/specs/rns1-chat-integration/design.md
View File

@@ -693,12 +693,12 @@ RNS1.4 采用属性测试（Property-Based Testing）+ 单元测试（Unit Testi
```bash
# 属性测试（Hypothesis）
cd C:\NeoZQYY && pytest tests/ -v -k "rns1_chat"
cd C:\Project\NeoZQYY && pytest tests/ -v -k "rns1_chat"
# 单元测试
cd apps/backend && pytest tests/unit/ -v -k "xcx_chat"
# FDW 验证脚本
cd C:\NeoZQYY && uv run python scripts/ops/verify_fdw_e2e.py
cd C:\Project\NeoZQYY && uv run python scripts/ops/verify_fdw_e2e.py
```

2
.kiro/specs/rns1-customer-coach-api/design.md
View File

@@ -1061,7 +1061,7 @@ RNS1.2 采用属性测试（Property-Based Testing）+ 单元测试（Unit Testi
```bash
# 属性测试（Hypothesis）
cd C:\NeoZQYY && pytest tests/ -v -k "rns1_customer_coach"
cd C:\Project\NeoZQYY && pytest tests/ -v -k "rns1_customer_coach"
# 单元测试
cd apps/backend && pytest tests/unit/ -v -k "customer_detail or customer_records or coach_detail or coach_top or coach_history or coach_task_groups or auth_rns12 or fdw_queries_rns12 or degradation_rns12"

2
.kiro/specs/rns1-infra-contract-rewrite/design.md
View File

@@ -537,7 +537,7 @@ RNS1.0 采用属性测试（Property-Based Testing）+ 单元测试（Unit Testi
```bash
# 属性测试（Hypothesis）
cd C:\NeoZQYY && pytest tests/ -v -k "rns1"
cd C:\Project\NeoZQYY && pytest tests/ -v -k "rns1"
# 单元测试
cd apps/backend && pytest tests/unit/ -v -k "response_wrapper or camel_model or xcx_tasks_route"

2
.kiro/specs/rns1-task-performance-api/design.md
View File

@@ -923,7 +923,7 @@ RNS1.1 采用属性测试（Property-Based Testing）+ 单元测试（Unit Testi
```bash
# 属性测试（Hypothesis）
cd C:\NeoZQYY && pytest tests/ -v -k "rns1_task_performance"
cd C:\Project\NeoZQYY && pytest tests/ -v -k "rns1_task_performance"
# 单元测试
cd apps/backend && pytest tests/unit/ -v -k "xcx_tasks_v2 or task_detail or performance or pin_unpin or auth_rns11 or fdw_queries"

2
.kiro/specs/spi-spending-power-index/design.md
View File

@@ -388,7 +388,7 @@ def test_spi_raw_non_negative(level, speed, stability):
### 测试配置
- 属性测试：`cd C:\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 单元测试：`cd apps/etl/connectors/feiqiu && pytest tests/unit/test_spi_task.py -v`
- 每个属性测试标注 `@settings(max_examples=200)`
- 每个属性测试注释引用设计文档 Property 编号

4
.kiro/specs/spi-spending-power-index/tasks.md
View File

@@ -56,7 +56,7 @@
- **Validates: Requirements 6.6, 10.5**
- [x] 3. 检查点 - 确保核心算法测试通过
- 运行 `cd C:\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 运行 `cd C:\Project\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 确保所有属性测试通过，如有问题请询问用户。
- [x] 4. 实现数据提取与执行流程
@@ -119,7 +119,7 @@
- _Requirements: 11.2, 11.3_
- [x] 9. 最终检查点 - 确保所有测试通过
- 运行属性测试：`cd C:\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 运行属性测试：`cd C:\Project\NeoZQYY && pytest tests/test_spi_properties.py -v`
- 运行单元测试：`cd apps/etl/connectors/feiqiu && pytest tests/unit/test_spi_task.py -v`
- 确保所有测试通过，如有问题请询问用户。

2
.kiro/steering/tech.md
View File

@@ -15,7 +15,7 @@ uv sync # 安装依赖
cd apps/etl/connectors/feiqiu && python -m cli.main --dry-run --tasks DWD_LOAD_FROM_ODS
cd apps/backend && uvicorn app.main:app --reload
cd apps/etl/connectors/feiqiu && pytest tests/unit # ETL 单元测试
cd C:\NeoZQYY && pytest tests/ -v # 属性测试
cd C:\Project\NeoZQYY && pytest tests/ -v # 属性测试
```
## 脚本规范

2
apps/backend/.env.local
View File

@@ -45,4 +45,4 @@ LOG_LEVEL=INFO
# ------------------------------------------------------------------------------
# ETL 项目路径（子进程 cwd，缺省按 monorepo 相对路径推算）
# ------------------------------------------------------------------------------
# ETL_PROJECT_PATH=C:/NeoZQYY/apps/etl/connectors/feiqiu
# ETL_PROJECT_PATH=C:/Project/NeoZQYY/apps/etl/connectors/feiqiu

2
apps/backend/app/config.py
View File

@@ -11,7 +11,7 @@ from pathlib import Path
from dotenv import load_dotenv
# CHANGE 2026-03-07 | 项目根目录定位：防止 junction/symlink 穿透到 D 盘
# 背景：C:\NeoZQYY 是 junction → D:\NeoZQYY\...\repo，
# 背景：C:\Project\NeoZQYY 是 junction → D:\NeoZQYY\...\repo，
# Path(__file__).resolve() 和 absolute() 都可能解析到 D 盘，
# 导致加载 D 盘的 .env（路径全指向 D 盘），ETL 命令因此携带错误路径。
# 策略：环境变量 > 已知固定路径 > __file__ 推算（最后手段）

4
apps/backend/auth_only_results.txt
View File

@@ -1,8 +1,8 @@
============================= test session starts =============================
platform win32 -- Python 3.13.9, pytest-9.0.2, pluggy-1.6.0 -- C:\NeoZQYY\.venv\Scripts\python.exe
platform win32 -- Python 3.13.9, pytest-9.0.2, pluggy-1.6.0 -- C:\Project\NeoZQYY\.venv\Scripts\python.exe
cachedir: .pytest_cache
hypothesis profile 'default'
rootdir: C:\NeoZQYY\apps\backend
rootdir: C:\Project\NeoZQYY\apps\backend
configfile: pyproject.toml
plugins: anyio-4.12.1, hypothesis-6.151.6, asyncio-1.3.0
asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function

4
apps/backend/auth_test_results.txt
View File

@@ -1,8 +1,8 @@
============================= test session starts =============================
platform win32 -- Python 3.13.9, pytest-9.0.2, pluggy-1.6.0 -- C:\NeoZQYY\.venv\Scripts\python.exe
platform win32 -- Python 3.13.9, pytest-9.0.2, pluggy-1.6.0 -- C:\Project\NeoZQYY\.venv\Scripts\python.exe
cachedir: .pytest_cache
hypothesis profile 'default'
rootdir: C:\NeoZQYY\apps\backend
rootdir: C:\Project\NeoZQYY\apps\backend
configfile: pyproject.toml
plugins: anyio-4.12.1, hypothesis-6.151.6, asyncio-1.3.0
asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function

6
apps/etl/connectors/feiqiu/.env
View File

@@ -35,9 +35,9 @@ API_RETRY_MAX=3
# 路径配置
# CHANGE 2026-02-19 | 统一迁移到 export/ETL-Connectors/feiqiu/ 下
# ------------------------------------------------------------------------------
EXPORT_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
LOG_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
FETCH_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
EXPORT_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
LOG_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
FETCH_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
WRITE_PRETTY_JSON=true
# ------------------------------------------------------------------------------

2
docs/README.md
View File

@@ -148,7 +148,7 @@ cd apps/etl/connectors/feiqiu && python -m cli.main --dry-run --tasks DWD_LOAD_F
# 测试
cd apps/etl/connectors/feiqiu && pytest tests/unit
cd C:\NeoZQYY && pytest tests/ -v
cd C:\Project\NeoZQYY && pytest tests/ -v
```
## 文件归属规则

2
docs/audit/changes/2026-02-15__admin-web-console-db-migration-audit-reorg.md
View File

@@ -146,7 +146,7 @@ cd apps/admin-web && pnpm exec vitest run
cd apps/admin-web && pnpm exec tsc --noEmit
# 属性测试
cd C:\NeoZQYY && pytest tests/ -v
cd C:\Project\NeoZQYY && pytest tests/ -v
```
## 内联注释决策

4
docs/audit/changes/2026-02-15__monorepo-migration-phase1-8.md
View File

@@ -7,7 +7,7 @@
## 变更概述
将单一 ETL 仓库（C:\ZQYY\FQ-ETL）迁移为 Monorepo 单体仓库（C:\NeoZQYY），整合 ETL、后端、小程序、GUI 等子项目。一次性搬迁策略，不保留 Git 历史。
将单一 ETL 仓库（C:\ZQYY\FQ-ETL）迁移为 Monorepo 单体仓库（C:\Project\NeoZQYY），整合 ETL、后端、小程序、GUI 等子项目。一次性搬迁策略，不保留 Git 历史。
## 变更清单
@@ -76,7 +76,7 @@
## 后续建议
1. 在 C:\NeoZQYY\apps\etl\pipelines\feiqiu\ 下运行 `pytest tests/unit` 确认测试通过
1. 在 C:\Project\NeoZQYY\apps\etl\pipelines\feiqiu\ 下运行 `pytest tests/unit` 确认测试通过
2. 修复源仓库已有的 5 个失败测试
3. DB Schema DDL 在测试环境验证后再应用到生产
4. 首次 `git add . && git commit` 建立基线

280
docs/audit/prompt_logs/prompt_log_20260215_152000.md
View File

@@ -1,140 +1,140 @@
- [P20260215-152000] 2026-02-15 15:20:00 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Fix audit…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Fix audit_flagger.ps1 PowerShell 5.1 parsing errors
- **STATUS**: done (approach abandoned → replaced with Python)
- **USER QUERIES**: 1 ("重建 Codebase indexing"), 2 (continued debugging)
- **DETAILS**: The original `audit_flagger.ps1` had persistent parsing errors in Windows PowerShell 5.1. The parser couldn't handle `@{}` hashtable literals and multi-line script blocks inside `try{}` blocks. Multiple fix attempts failed (multi-line hashtables, string-based rules, removing try/catch). Eventually abandoned PowerShell entirely and rewrote all 3 scripts in Python.
- **FILEPATHS**: `.kiro/scripts/audit_flagger.ps1` (deleted)
## TASK 2: Rewrite all .kiro/scripts from PowerShell to Python
- **STATUS**: done
- **USER QUERIES**: 2, 3, 4, 5
- **DETAILS**: All 3 PowerShell scripts converted to Python equivalents. All tested and verified with exit code 0:
- `audit_flagger.ps1` → `audit_flagger.py` — scans git status, matches high-risk paths, writes `.kiro/.audit_state.json`
- `audit_reminder.ps1` → `audit_reminder.py` — 15-min rate-limited reminder on agentStop
- `prompt_audit_log.ps1` → `prompt_audit_log.py` — logs each prompt to `docs/audit/prompt_logs/`
- All 3 hook files updated to call `python .kiro/scripts/<name>.py` instead of `powershell -File`
- Verified: `grep powershell .kiro/hooks/**` returns no matches
- **FILEPATHS**: `.kiro/scripts/audit_flagger.py`, `.kiro/scripts/audit_reminder.py`, `.kiro/scripts/prompt_audit_log.py`
## TASK 3: Update .kiro configuration for NeoZQYY Monorepo
- **STATUS**: in-progress
- **USER QUERIES**: 3 ("完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新")
- **DETAILS**:
- **Hooks**: All 7 hook files already had `workspaceFolderName: "NeoZQYY"`. Commands updated from PS to Python. No other hook changes needed.
- **Steering files updated**:
- `product.md` — rewritten for Monorepo (multi-subsystem, site_id+RLS)
- `tech.md` — rewritten (uv workspace, 6-layer schema, FastAPI, hypothesis)
- `structure-lite.md` — rewritten (new top-level dirs, new high-risk paths)
- `structure.md` — rewritten (full Monorepo tree, manual inclusion)
- `governance.md` — rewritten (high-risk paths updated to `apps/etl/pipelines/feiqiu/...`, `apps/backend/app/`, `packages/shared/`, `db/`)
- `language-zh.md` — no changes needed
- `db-docs.md` — no changes needed (uses `**/*.sql` wildcards, still valid)
- `steering-readme-maintainer.md` — no changes needed
- **MCP**: Workspace-level `mcp.json` updated to override git server repo path from `C:\ZQYY\FQ-ETL` to `C:\NeoZQYY`
- **Skills**: 3 skills kept as-is (`bd-manual-db-docs`, `change-annotation-audit`, `steering-readme-maintainer`)
- **Agents**: `audit-writer.md` already references Monorepo paths (was updated during migration)
- **NOT YET DONE**:
- The `governance.md` steering-reminder cache still shows OLD content in Kiro's injection (with bare `api/`, `cli/` paths). The file itself is correct on disk. This is a Kiro caching issue that should resolve on next session.
- Skills SKILL.md files were NOT checked/updated for path references — they may still reference old FQ-ETL paths
- **NEXT STEPS**:
- Check and update skill SKILL.md files for old path references: `.kiro/skills/bd-manual-db-docs/SKILL.md`, `.kiro/skills/change-annotation-audit/SKILL.md`, `.kiro/skills/steering-readme-maintainer/SKILL.md`
- Check skill asset templates for old path references
- Verify `audit-writer.md` agent definition has no stale references
- **FILEPATHS**: `.kiro/steering/governance.md`, `.kiro/steering/product.md`, `.kiro/steering/tech.md`, `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`, `.kiro/settings/mcp.json`, `.kiro/hooks/audit-flagger.kiro.hook`, `.kiro/hooks/audit-reminder.kiro.hook`, `.kiro/hooks/prompt-audit-log.kiro.hook`
## TASK 4: Clean up old project SPECS
- **STATUS**: done
- **USER QUERIES**: 3 ("清理旧项目SPECS")
- **DETAILS**: All 5 completed specs deleted: `bd-manual-docs-consolidation`, `docs-optimization`, `etl-task-documentation`, `monorepo-migration`, `repo-audit`. Also `scheduler-refactor` (was "规划中") got deleted in the batch. `.kiro/specs/` is now empty.
- **FILEPATHS**: `.kiro/specs/` (empty)
## TASK 5: Rebuild Codebase indexing
- **STATUS**: not-started
- **USER QUERIES**: 1, 3 ("重建 Codebase indexing")
- **DETAILS**: User explicitly requested rebuilding codebase indexing. This was the original request but got sidetracked by the PS1 parsing errors. The steering files are now updated with correct Monorepo paths which should help indexing. No explicit "rebuild index" action was taken — this may be a Kiro IDE feature the user needs to trigger manually, or it may auto-rebuild based on updated steering files.
- **NEXT STEPS**: Determine if any manual action is needed to rebuild Kiro's codebase index, or if the updated steering files are sufficient.
## USER CORRECTIONS AND INSTRUCTIONS:
- User provided `docs/monorepo-migration-summary.md` as the authoritative reference for all path mappings and configuration changes
- User said "我看你处理的好费劲" (you're struggling) — indicating preference for efficient, decisive action
- All output must be in simplified Chinese (per `language-zh.md`)
- The project uses Windows (win32, cmd shell) with Python available via conda (base)
- PowerShell 5.1 on this machine has severe parsing bugs — avoid PS scripts, use Python instead
- Governance rules require audit for high-risk path changes, but this `.kiro/` infrastructure work is exempt from audit
## Files to read:
- `docs/monorepo-migration-summary.md` — authoritative migration reference with complete path mappings and config checklist
- `.kiro/skills/bd-manual-db-docs/SKILL.md` — needs path reference check
- `.kiro/skills/change-annotation-audit/SKILL.md` — needs path reference check
- `.kiro/skills/steering-readme-maintainer/SKILL.md` — needs path reference check
- `.kiro/skills/change-annotation-audit/assets/audit-record-template.md` — needs path reference check
- `.kiro/skills/bd-manual-db-docs/assets/schema-changelog-template.md` — needs path reference check
- `.kiro/agents/audit-writer.md` — verify no stale references
- `.kiro/scripts/audit_flagger.py` — the working Python replacement
- `.kiro/steering/governance.md` — recently rewritten, verify correct
USER QUERIES(most recent first):
1. 我看你处理的好费劲。给你个参考文档：docs\monorepo-migration-summary.md，并根据参考文档完成这些任务：- 完成当前任务，或者回滚修改ps1脚本。- 重建 Codebase indexing。- 完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新。- 清理旧项目SPECS。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 我看你处理的好费劲。给你个参考文档：docs\monorepo-migration-summary.md，并根据参考文档完成这些任务：- 完成当前任务，或者回滚修改ps1脚本。- 重建 Codebase indexing。- 完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新。- 清理旧项目SPECS。
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Hook execution failed with exit code 1.
Error output:
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\NeoZQYY\.kiro\scripts\audit_flagger.ps1:19 <20>ַ<EFBFBD>: 5
+ try {
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ͷ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ȱ<EFBFBD><EFBFBD><EFBFBD>ҡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\NeoZQYY\.kiro\scripts\audit_flagger.ps1:72 <20>ַ<EFBFBD>: 40
+ @{ Pattern = "^db/"; Label = "db" }
+ ~
Try <20><><EFBFBD>ȱ<EFBFBD><C8B1><EFBFBD>Լ<EFBFBD><D4BC><EFBFBD> Catch <20><> Finally <20>顣
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\NeoZQYY\.kiro\scripts\audit_flagger.ps1:73 <20>ַ<EFBFBD>: 3
+ )
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>)<29><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\NeoZQYY\.kiro\scripts\audit_flagger.ps1:94 <20>ַ<EFBFBD>: 5
+ }
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\NeoZQYY\.kiro\scripts\audit_flagger.ps1:95 <20>ַ<EFBFBD>: 3
+ }
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
- [P20260215-152000] 2026-02-15 15:20:00 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Fix audit…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Fix audit_flagger.ps1 PowerShell 5.1 parsing errors
- **STATUS**: done (approach abandoned → replaced with Python)
- **USER QUERIES**: 1 ("重建 Codebase indexing"), 2 (continued debugging)
- **DETAILS**: The original `audit_flagger.ps1` had persistent parsing errors in Windows PowerShell 5.1. The parser couldn't handle `@{}` hashtable literals and multi-line script blocks inside `try{}` blocks. Multiple fix attempts failed (multi-line hashtables, string-based rules, removing try/catch). Eventually abandoned PowerShell entirely and rewrote all 3 scripts in Python.
- **FILEPATHS**: `.kiro/scripts/audit_flagger.ps1` (deleted)
## TASK 2: Rewrite all .kiro/scripts from PowerShell to Python
- **STATUS**: done
- **USER QUERIES**: 2, 3, 4, 5
- **DETAILS**: All 3 PowerShell scripts converted to Python equivalents. All tested and verified with exit code 0:
- `audit_flagger.ps1` → `audit_flagger.py` — scans git status, matches high-risk paths, writes `.kiro/.audit_state.json`
- `audit_reminder.ps1` → `audit_reminder.py` — 15-min rate-limited reminder on agentStop
- `prompt_audit_log.ps1` → `prompt_audit_log.py` — logs each prompt to `docs/audit/prompt_logs/`
- All 3 hook files updated to call `python .kiro/scripts/<name>.py` instead of `powershell -File`
- Verified: `grep powershell .kiro/hooks/**` returns no matches
- **FILEPATHS**: `.kiro/scripts/audit_flagger.py`, `.kiro/scripts/audit_reminder.py`, `.kiro/scripts/prompt_audit_log.py`
## TASK 3: Update .kiro configuration for NeoZQYY Monorepo
- **STATUS**: in-progress
- **USER QUERIES**: 3 ("完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新")
- **DETAILS**:
- **Hooks**: All 7 hook files already had `workspaceFolderName: "NeoZQYY"`. Commands updated from PS to Python. No other hook changes needed.
- **Steering files updated**:
- `product.md` — rewritten for Monorepo (multi-subsystem, site_id+RLS)
- `tech.md` — rewritten (uv workspace, 6-layer schema, FastAPI, hypothesis)
- `structure-lite.md` — rewritten (new top-level dirs, new high-risk paths)
- `structure.md` — rewritten (full Monorepo tree, manual inclusion)
- `governance.md` — rewritten (high-risk paths updated to `apps/etl/pipelines/feiqiu/...`, `apps/backend/app/`, `packages/shared/`, `db/`)
- `language-zh.md` — no changes needed
- `db-docs.md` — no changes needed (uses `**/*.sql` wildcards, still valid)
- `steering-readme-maintainer.md` — no changes needed
- **MCP**: Workspace-level `mcp.json` updated to override git server repo path from `C:\ZQYY\FQ-ETL` to `C:\Project\NeoZQYY`
- **Skills**: 3 skills kept as-is (`bd-manual-db-docs`, `change-annotation-audit`, `steering-readme-maintainer`)
- **Agents**: `audit-writer.md` already references Monorepo paths (was updated during migration)
- **NOT YET DONE**:
- The `governance.md` steering-reminder cache still shows OLD content in Kiro's injection (with bare `api/`, `cli/` paths). The file itself is correct on disk. This is a Kiro caching issue that should resolve on next session.
- Skills SKILL.md files were NOT checked/updated for path references — they may still reference old FQ-ETL paths
- **NEXT STEPS**:
- Check and update skill SKILL.md files for old path references: `.kiro/skills/bd-manual-db-docs/SKILL.md`, `.kiro/skills/change-annotation-audit/SKILL.md`, `.kiro/skills/steering-readme-maintainer/SKILL.md`
- Check skill asset templates for old path references
- Verify `audit-writer.md` agent definition has no stale references
- **FILEPATHS**: `.kiro/steering/governance.md`, `.kiro/steering/product.md`, `.kiro/steering/tech.md`, `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`, `.kiro/settings/mcp.json`, `.kiro/hooks/audit-flagger.kiro.hook`, `.kiro/hooks/audit-reminder.kiro.hook`, `.kiro/hooks/prompt-audit-log.kiro.hook`
## TASK 4: Clean up old project SPECS
- **STATUS**: done
- **USER QUERIES**: 3 ("清理旧项目SPECS")
- **DETAILS**: All 5 completed specs deleted: `bd-manual-docs-consolidation`, `docs-optimization`, `etl-task-documentation`, `monorepo-migration`, `repo-audit`. Also `scheduler-refactor` (was "规划中") got deleted in the batch. `.kiro/specs/` is now empty.
- **FILEPATHS**: `.kiro/specs/` (empty)
## TASK 5: Rebuild Codebase indexing
- **STATUS**: not-started
- **USER QUERIES**: 1, 3 ("重建 Codebase indexing")
- **DETAILS**: User explicitly requested rebuilding codebase indexing. This was the original request but got sidetracked by the PS1 parsing errors. The steering files are now updated with correct Monorepo paths which should help indexing. No explicit "rebuild index" action was taken — this may be a Kiro IDE feature the user needs to trigger manually, or it may auto-rebuild based on updated steering files.
- **NEXT STEPS**: Determine if any manual action is needed to rebuild Kiro's codebase index, or if the updated steering files are sufficient.
## USER CORRECTIONS AND INSTRUCTIONS:
- User provided `docs/monorepo-migration-summary.md` as the authoritative reference for all path mappings and configuration changes
- User said "我看你处理的好费劲" (you're struggling) — indicating preference for efficient, decisive action
- All output must be in simplified Chinese (per `language-zh.md`)
- The project uses Windows (win32, cmd shell) with Python available via conda (base)
- PowerShell 5.1 on this machine has severe parsing bugs — avoid PS scripts, use Python instead
- Governance rules require audit for high-risk path changes, but this `.kiro/` infrastructure work is exempt from audit
## Files to read:
- `docs/monorepo-migration-summary.md` — authoritative migration reference with complete path mappings and config checklist
- `.kiro/skills/bd-manual-db-docs/SKILL.md` — needs path reference check
- `.kiro/skills/change-annotation-audit/SKILL.md` — needs path reference check
- `.kiro/skills/steering-readme-maintainer/SKILL.md` — needs path reference check
- `.kiro/skills/change-annotation-audit/assets/audit-record-template.md` — needs path reference check
- `.kiro/skills/bd-manual-db-docs/assets/schema-changelog-template.md` — needs path reference check
- `.kiro/agents/audit-writer.md` — verify no stale references
- `.kiro/scripts/audit_flagger.py` — the working Python replacement
- `.kiro/steering/governance.md` — recently rewritten, verify correct
USER QUERIES(most recent first):
1. 我看你处理的好费劲。给你个参考文档：docs\monorepo-migration-summary.md，并根据参考文档完成这些任务：- 完成当前任务，或者回滚修改ps1脚本。- 重建 Codebase indexing。- 完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新。- 清理旧项目SPECS。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 我看你处理的好费劲。给你个参考文档：docs\monorepo-migration-summary.md，并根据参考文档完成这些任务：- 完成当前任务，或者回滚修改ps1脚本。- 重建 Codebase indexing。- 完成.kiro的更新：依据其迁移前的功能，完善修改在此项目中Kiro相应的hooks,steering,skills,mcp配置的更新。- 清理旧项目SPECS。
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Hook execution failed with exit code 1.
Error output:
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:19 <20>ַ<EFBFBD>: 5
+ try {
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ͷ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ȱ<EFBFBD><EFBFBD><EFBFBD>ҡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:72 <20>ַ<EFBFBD>: 40
+ @{ Pattern = "^db/"; Label = "db" }
+ ~
Try <20><><EFBFBD>ȱ<EFBFBD><C8B1><EFBFBD>Լ<EFBFBD><D4BC><EFBFBD> Catch <20><> Finally <20>顣
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:73 <20>ַ<EFBFBD>: 3
+ )
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>)<29><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:94 <20>ַ<EFBFBD>: 5
+ }
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:95 <20>ַ<EFBFBD>: 3
+ }
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>λ<EFBFBD><EFBFBD> C:\Project\NeoZQYY\.kiro\scripts\audit_flagger.ps1:124 <20>ַ<EFBFBD>: 1
+ } catch {
+ ~
<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʽ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>а<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ı<EFBFBD>ǡ<EFBFBD>}<7D><><EFBFBD><EFBFBD>
+ CategoryInfo : ParserError: (:) [], ParentContainsErrorRecordException
+ FullyQualifiedErrorId : MissingEndCurlyBrace
Exit Code: 1
7. 重建 Codebase indexing
---
METADATA:
The previous conversation had 4 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
```

2
docs/audit/prompt_logs/prompt_log_20260215_213338.md
View File

@@ -124,7 +124,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- 按 `db-docs.md` 规则，需同步更新 `docs/database/` 文档
- MCP 工具在事务块中运行，无法直接 `CREATE DATABASE`，需通过 dblink 绕过
- 系统没有 `psql` 命令行工具，但有 `psycopg2` Python 包可用
- shell cwd 可能不在项目根目录，执行 Python 脚本需用绝对路径 `C:\NeoZQYY\...`
- shell cwd 可能不在项目根目录，执行 Python 脚本需用绝对路径 `C:\Project\NeoZQYY\...`
- 旧 DDL 文件（如 `schema_etl_admin.sql`）保留作为历史参考，不修改
- 审计日志和迁移历史文档中的旧 schema 名保留原样
- 测试代码中的 fixture SQL 使用旧 schema 名是测试 DDL 解析器能力，可以保留不改

270
docs/audit/prompt_logs/prompt_log_20260215_215917.md
View File

@@ -1,135 +1,135 @@
- [P20260215-215917] 2026-02-15 21:59:17 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审查 db 目录并…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审查 db 目录并创建/完善数据库结构 + 全项目 schema 引用迁移
**STATUS**: done
**USER QUERIES**: 1 ("审查db目录，并更新/建立相应数据库和数据库的结构属性等内容"), 2 ("继续，完成后，本项目所有连接配置，各种相关的业务代码也需要处理")
**DETAILS**:
- 创建 `etl_feiqiu` 和 `zqyy_app` 数据库（通过 dblink）
- etl_feiqiu 六层 schema DDL 全部执行成功（meta/ods/dwd/core/dws/app）
- zqyy_app 11 表 + 种子数据全部成功
- 应用角色：`app_reader`（密码：`AppR3ad_2026!`）、`app_user`（密码：`AppUs3r_2026!`）
- FDW 跨库映射完成
- 全项目 schema 引用迁移完成（450+ 处替换）：`billiards_ods` → `ods`, `billiards_dwd` → `dwd`, `billiards_dws` → `dws`, `etl_admin` → `meta`
- 使用 `scripts/fix_schema_refs.py` 批量替换工具完成
- 所有运行时代码（ETL tasks/orchestration/quality/scripts、后端 app/services、GUI）已清理
- 测试 fixture 中的旧 schema 名保留（测试 DDL 解析器能力）
- 旧 DDL 文件、审计日志、迁移历史文档中的旧名保留
**FILEPATHS**: `scripts/fix_schema_refs.py`, `scripts/batch_schema_rename.py`
---
## TASK 2: 从旧库迁移数据到新库 + 索引迁移 + ANALYZE
**STATUS**: in-progress
**USER QUERIES**: 3 ("遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面")
**DETAILS**:
### 数据迁移状态（全部完成）：
- 旧库 `LLZQ-test`（schema: `billiards_ods`/`billiards_dwd`/`billiards_dws`/`etl_admin`）→ 新库 `etl_feiqiu`（schema: `ods`/`dwd`/`dws`/`meta`）
- 使用 `scripts/migrate_data.py` 通过 psycopg2 COPY 协议跨库迁移
- ODS 23 表全部一致（行数精确匹配）
- DWD 40 表全部一致
- DWS 数据已迁移（有数据的表：`cfg_index_parameters` 127行, `dws_assistant_daily_detail` 5276行, `dws_finance_daily_summary` 210行, `dws_index_percentile_history` 80行, `dws_member_assistant_intimacy` 219行, `dws_member_newconv_index` 49行, `dws_member_visit_detail` 4398行, `dws_member_winback_index` 122行）
- meta 3 表已迁移（`etl_cursor` 44行, `etl_run` 8726行, `etl_task` 53行 vs 源49行 — 新库种子数据多4条，正常）
### 索引迁移状态：
- ODS 索引：46/46 全部成功
- DWD 索引：已迁移（具体数量在输出被截断前未完整显示，但脚本已执行）
- DWS 索引：59/67 成功，8 个失败（都是物化视图 `mv_dws_*` 的索引，因为新库没有这些物化视图表）
- meta 索引：0/0（无自定义索引）
### 未完成项：
1. **ANALYZE 未执行** — `migrate_data.py` 在 ANALYZE 步骤因 `set_session cannot be used inside a transaction` 错误失败。`migrate_fix_remaining.py` 也有同样问题。
2. **物化视图未迁移** — 旧库 DWS 有 8 个物化视图（`mv_dws_assistant_daily_detail_l1~l4`, `mv_dws_finance_daily_summary_l1~l4`），新库没有创建这些物化视图，导致 8 个索引创建失败。需要在新库创建这些物化视图。
3. **最终验证未完成** — `migrate_fix_remaining.py` 的最终验证部分未执行到（被 ANALYZE 错误中断）
### 数据库连接信息：
- Host: `100.64.0.4`, Port: `5432`, User: `local-Python`, Password: `Neo-local-1991125`
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`
- 新库操作通过 dblink 或 psycopg2 脚本
**NEXT STEPS**:
1. 修复 ANALYZE — 在新库 `etl_feiqiu` 上执行 `ANALYZE` 更新统计信息（需要先 commit/rollback 当前事务再设 autocommit=True，或用 dblink 执行）
2. 创建物化视图 — 查看旧库 8 个 `mv_dws_*` 物化视图的定义，在新库重建（替换 schema 名）
3. 运行最终验证 — 对比所有有数据表的行数确认一致
4. 考虑是否需要更新 MCP postgres 配置指向新库 `etl_feiqiu`
**FILEPATHS**: `scripts/migrate_data.py`, `scripts/migrate_fix_remaining.py`
---
## TASK 3: 审计（/audit）
**STATUS**: not-started
**DETAILS**: governance 规则要求对高风险变更运行 `/audit`。本次变更涉及大量 `tasks/`、`orchestration/`、`quality/`、`config/`、后端 `app/services/`、DB schema 变更，属于高风险。用户需手动触发。
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 密码由 agent 设置（`app_reader`: `AppR3ad_2026!`, `app_user`: `AppUs3r_2026!`），用户之后自行修改
- 可以直接执行 SQL 指令（通过 MCP postgres 工具，当前连接 `LLZQ-test`，新库操作通过 dblink）
- `local-Python` 用户是超级用户
- MCP 工具在事务块中运行，无法直接 `CREATE DATABASE`，需通过 dblink 绕过
- 系统没有 `psql` 命令行工具，但有 `psycopg2` Python 包可用
- shell cwd 可能不在项目根目录，执行 Python 脚本需用绝对路径 `C:\NeoZQYY\...`
- Windows 控制台需要 `$env:PYTHONIOENCODING="utf-8"` 或 `sys.stdout.reconfigure(encoding="utf-8")` 处理中文输出
- 旧 DDL 文件（如 `schema_etl_admin.sql`）保留作为历史参考，不修改
- 审计日志和迁移历史文档中的旧 schema 名保留原样
- 测试代码中的 fixture SQL 使用旧 schema 名是测试 DDL 解析器能力，可以保留不改
- `validate_bd_manual.py` 中的 `ETL_Admin` 是文档目录层名称，不是数据库 schema 名
- 变更涉及 DB schema，属于高风险操作，完成后需要运行 `/audit`
## Files to read
- `scripts/migrate_data.py`
- `scripts/migrate_fix_remaining.py`
- `.env`
USER QUERIES(most recent first):
1. 遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面。
5. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 4 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
- [P20260215-215917] 2026-02-15 21:59:17 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审查 db 目录并…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审查 db 目录并创建/完善数据库结构 + 全项目 schema 引用迁移
**STATUS**: done
**USER QUERIES**: 1 ("审查db目录，并更新/建立相应数据库和数据库的结构属性等内容"), 2 ("继续，完成后，本项目所有连接配置，各种相关的业务代码也需要处理")
**DETAILS**:
- 创建 `etl_feiqiu` 和 `zqyy_app` 数据库（通过 dblink）
- etl_feiqiu 六层 schema DDL 全部执行成功（meta/ods/dwd/core/dws/app）
- zqyy_app 11 表 + 种子数据全部成功
- 应用角色：`app_reader`（密码：`AppR3ad_2026!`）、`app_user`（密码：`AppUs3r_2026!`）
- FDW 跨库映射完成
- 全项目 schema 引用迁移完成（450+ 处替换）：`billiards_ods` → `ods`, `billiards_dwd` → `dwd`, `billiards_dws` → `dws`, `etl_admin` → `meta`
- 使用 `scripts/fix_schema_refs.py` 批量替换工具完成
- 所有运行时代码（ETL tasks/orchestration/quality/scripts、后端 app/services、GUI）已清理
- 测试 fixture 中的旧 schema 名保留（测试 DDL 解析器能力）
- 旧 DDL 文件、审计日志、迁移历史文档中的旧名保留
**FILEPATHS**: `scripts/fix_schema_refs.py`, `scripts/batch_schema_rename.py`
---
## TASK 2: 从旧库迁移数据到新库 + 索引迁移 + ANALYZE
**STATUS**: in-progress
**USER QUERIES**: 3 ("遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面")
**DETAILS**:
### 数据迁移状态（全部完成）：
- 旧库 `LLZQ-test`（schema: `billiards_ods`/`billiards_dwd`/`billiards_dws`/`etl_admin`）→ 新库 `etl_feiqiu`（schema: `ods`/`dwd`/`dws`/`meta`）
- 使用 `scripts/migrate_data.py` 通过 psycopg2 COPY 协议跨库迁移
- ODS 23 表全部一致（行数精确匹配）
- DWD 40 表全部一致
- DWS 数据已迁移（有数据的表：`cfg_index_parameters` 127行, `dws_assistant_daily_detail` 5276行, `dws_finance_daily_summary` 210行, `dws_index_percentile_history` 80行, `dws_member_assistant_intimacy` 219行, `dws_member_newconv_index` 49行, `dws_member_visit_detail` 4398行, `dws_member_winback_index` 122行）
- meta 3 表已迁移（`etl_cursor` 44行, `etl_run` 8726行, `etl_task` 53行 vs 源49行 — 新库种子数据多4条，正常）
### 索引迁移状态：
- ODS 索引：46/46 全部成功
- DWD 索引：已迁移（具体数量在输出被截断前未完整显示，但脚本已执行）
- DWS 索引：59/67 成功，8 个失败（都是物化视图 `mv_dws_*` 的索引，因为新库没有这些物化视图表）
- meta 索引：0/0（无自定义索引）
### 未完成项：
1. **ANALYZE 未执行** — `migrate_data.py` 在 ANALYZE 步骤因 `set_session cannot be used inside a transaction` 错误失败。`migrate_fix_remaining.py` 也有同样问题。
2. **物化视图未迁移** — 旧库 DWS 有 8 个物化视图（`mv_dws_assistant_daily_detail_l1~l4`, `mv_dws_finance_daily_summary_l1~l4`），新库没有创建这些物化视图，导致 8 个索引创建失败。需要在新库创建这些物化视图。
3. **最终验证未完成** — `migrate_fix_remaining.py` 的最终验证部分未执行到（被 ANALYZE 错误中断）
### 数据库连接信息：
- Host: `100.64.0.4`, Port: `5432`, User: `local-Python`, Password: `Neo-local-1991125`
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`
- 新库操作通过 dblink 或 psycopg2 脚本
**NEXT STEPS**:
1. 修复 ANALYZE — 在新库 `etl_feiqiu` 上执行 `ANALYZE` 更新统计信息（需要先 commit/rollback 当前事务再设 autocommit=True，或用 dblink 执行）
2. 创建物化视图 — 查看旧库 8 个 `mv_dws_*` 物化视图的定义，在新库重建（替换 schema 名）
3. 运行最终验证 — 对比所有有数据表的行数确认一致
4. 考虑是否需要更新 MCP postgres 配置指向新库 `etl_feiqiu`
**FILEPATHS**: `scripts/migrate_data.py`, `scripts/migrate_fix_remaining.py`
---
## TASK 3: 审计（/audit）
**STATUS**: not-started
**DETAILS**: governance 规则要求对高风险变更运行 `/audit`。本次变更涉及大量 `tasks/`、`orchestration/`、`quality/`、`config/`、后端 `app/services/`、DB schema 变更，属于高风险。用户需手动触发。
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 密码由 agent 设置（`app_reader`: `AppR3ad_2026!`, `app_user`: `AppUs3r_2026!`），用户之后自行修改
- 可以直接执行 SQL 指令（通过 MCP postgres 工具，当前连接 `LLZQ-test`，新库操作通过 dblink）
- `local-Python` 用户是超级用户
- MCP 工具在事务块中运行，无法直接 `CREATE DATABASE`，需通过 dblink 绕过
- 系统没有 `psql` 命令行工具，但有 `psycopg2` Python 包可用
- shell cwd 可能不在项目根目录，执行 Python 脚本需用绝对路径 `C:\Project\NeoZQYY\...`
- Windows 控制台需要 `$env:PYTHONIOENCODING="utf-8"` 或 `sys.stdout.reconfigure(encoding="utf-8")` 处理中文输出
- 旧 DDL 文件（如 `schema_etl_admin.sql`）保留作为历史参考，不修改
- 审计日志和迁移历史文档中的旧 schema 名保留原样
- 测试代码中的 fixture SQL 使用旧 schema 名是测试 DDL 解析器能力，可以保留不改
- `validate_bd_manual.py` 中的 `ETL_Admin` 是文档目录层名称，不是数据库 schema 名
- 变更涉及 DB schema，属于高风险操作，完成后需要运行 `/audit`
## Files to read
- `scripts/migrate_data.py`
- `scripts/migrate_fix_remaining.py`
- `.env`
USER QUERIES(most recent first):
1. 遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 遍历新库和旧库，迁移下数据。以及所有设置，如索引等方面。
5. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 4 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
```

322
docs/audit/prompt_logs/prompt_log_20260215_223951.md
View File

@@ -1,161 +1,161 @@
- [P20260215-223951] 2026-02-15 22:39:51 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审查 db 目录并…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审查 db 目录并创建/完善数据库和结构
**STATUS**: done
**USER QUERIES**: 1-2 (from previous conversation)
**DETAILS**: 创建了 `etl_feiqiu` 和 `zqyy_app` 数据库，六层 schema DDL 全部执行成功，全项目 schema 引用迁移完成（450+ 处替换）。
**FILEPATHS**: `scripts/migrate/fix_schema_refs.py`, `scripts/migrate/batch_schema_rename.py`
---
## TASK 2: 从旧库迁移数据到新库
**STATUS**: done
**USER QUERIES**: 3-4 (from previous conversation)
**DETAILS**:
- 旧库 `LLZQ-test` → 新库 `etl_feiqiu` 数据迁移全部完成
- 73 张有数据表行数全部精确匹配（ODS 23、DWD 40、DWS 8、meta 3）
- 8 个物化视图（`mv_dws_*`）已重建并填充数据
- 索引：ods 69、dwd 135、dws 123（含 8 个物化视图索引）、meta 5
- ANALYZE 已对所有 6 个 schema 执行完毕
- `zqyy_app` 正式库只有 `admin_users` 1 行数据
**FILEPATHS**: `scripts/migrate/migrate_data.py`, `scripts/migrate/migrate_finalize.py`, `scripts/migrate/migrate_fix_remaining.py`
---
## TASK 3: 创建测试库并更新项目配置
**STATUS**: in-progress
**USER QUERIES**: 用户要求"完全复制/镜像现有的库，做一个测试库用于测试和开发，并且配置文件和项目中也使用测试库"
**DETAILS**:
### 已完成：
- 通过 dblink 创建了 `test_etl_feiqiu` 和 `test_zqyy_app` 数据库
- `scripts/ops/clone_to_test_db.py` 脚本执行成功，两个测试库均验证通过（`test_etl_feiqiu: OK`, `test_zqyy_app: OK`）
- `scripts/ops/fix_test_db.py` 补丁脚本执行成功：
- meta 3 表数据全部一致（etl_cursor: 44, etl_run: 8726, etl_task: 49）
- 8 个物化视图全部创建成功
- 8 个物化视图索引全部 OK
- ANALYZE 完成（110 个对象）
- 最终验证：全部通过
- 已更新的配置文件：
- `.env` — 添加了 `PG_NAME=test_etl_feiqiu`, `APP_DB_NAME=test_zqyy_app`, `ETL_DB_NAME=test_etl_feiqiu`
- `apps/backend/.env.local` — `APP_DB_NAME=test_zqyy_app`, `ETL_DB_NAME=test_etl_feiqiu`
- `.env.template` — 默认值更新为测试库名
- `apps/backend/app/config.py` — 硬编码默认值改为 `test_zqyy_app` / `test_etl_feiqiu`
### 未完成：
- ETL 的 `.env` 文件（`apps/etl/pipelines/feiqiu/.env`）中的 `PG_DSN` 仍指向正式库 `etl_feiqiu`，需要改为 `test_etl_feiqiu`
- `scripts/ops/clone_to_test_db.py` 中的 `init_test_etl_feiqiu()` 和 `init_test_zqyy_app()` 函数使用相对路径 `BASE_DIR` 查找 DDL 文件，当 cwd 不在项目根目录时会找不到文件（已在输出中看到 `[SKIP] 不存在` 错误），但数据迁移部分不受影响因为是直接从源库 COPY
- `scripts/ops/clone_to_test_db.py` 中 `migrate_matviews` 函数已修复分号问题（`defn.rstrip().rstrip(";").rstrip()`）
- FDW 配置（`db/fdw/setup_fdw.sql`）中 `dbname` 仍为 `etl_feiqiu`，测试环境可能需要对应的测试 FDW 配置
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`，可能需要更新指向测试库
- `getDiagnostics` 未对修改的配置文件运行
**NEXT STEPS**:
1. 更新 `apps/etl/pipelines/feiqiu/.env` 中的 `PG_DSN`：`etl_feiqiu` → `test_etl_feiqiu`
2. 检查是否还有其他文件引用正式库名需要更新（如 `db/fdw/setup_fdw.sql` 的测试版本）
3. 对修改的代码文件运行 `getDiagnostics` 验证
4. 考虑是否需要更新 MCP postgres 配置指向测试库
**FILEPATHS**: `scripts/ops/clone_to_test_db.py`, `scripts/ops/fix_test_db.py`, `.env`, `apps/backend/.env.local`, `.env.template`, `apps/backend/app/config.py`, `apps/etl/pipelines/feiqiu/.env`
---
## TASK 4: 审计（/audit）
**STATUS**: not-started
**DETAILS**: governance 规则要求对高风险变更运行 `/audit`。本次变更涉及 DB schema 变更、`config/` 目录文件修改、根目录 `.env` 修改，属于高风险。用户需手动触发。
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 系统没有 `psql` 命令行工具，但有 `psycopg2` Python 包
- shell cwd 可能不在项目根目录（常在 `C:\NeoZQYY\apps\backend`），执行 Python 脚本需用绝对路径 `C:\NeoZQYY\...`
- Windows 控制台需要 `$env:PYTHONIOENCODING="utf-8"` 处理中文输出
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`，新库操作通过 dblink 或 psycopg2 脚本
- `local-Python` 用户是超级用户
- 数据库连接信息：Host: `100.64.0.4`, Port: `5432`, User: `local-Python`, Password: `Neo-local-1991125`
- 用户整理了 scripts 目录结构：`scripts/migrate/`（迁移脚本）、`scripts/ops/`（运维脚本）
- 正式库：`etl_feiqiu`（ETL 数据）、`zqyy_app`（业务应用）
- 测试库：`test_etl_feiqiu`、`test_zqyy_app`
- 旧库：`LLZQ-test`（已弃用）
- 应用角色：`app_reader`（密码：`AppR3ad_2026!`）、`app_user`（密码：`AppUs3r_2026!`）
## Files to read
- `apps/etl/pipelines/feiqiu/.env`
- `.env`
- `apps/backend/.env.local`
- `apps/backend/app/config.py`
- `scripts/ops/clone_to_test_db.py`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 我刚刚整理了路径，按照新的文件路径执行。
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. 呃...还有个问题，我在文档中明确指出了数据库的测试库需求，但现在使用的是正式库。为我完全复制/镜像现有的库，做一个测试库用于测试和开发，并且配置文件和项目中也使用测试库。
11. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
12. Output:
Command executed successfully with no output.
Exit Code: 0
13. 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
- [P20260215-223951] 2026-02-15 22:39:51 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审查 db 目录并…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审查 db 目录并创建/完善数据库和结构
**STATUS**: done
**USER QUERIES**: 1-2 (from previous conversation)
**DETAILS**: 创建了 `etl_feiqiu` 和 `zqyy_app` 数据库，六层 schema DDL 全部执行成功，全项目 schema 引用迁移完成（450+ 处替换）。
**FILEPATHS**: `scripts/migrate/fix_schema_refs.py`, `scripts/migrate/batch_schema_rename.py`
---
## TASK 2: 从旧库迁移数据到新库
**STATUS**: done
**USER QUERIES**: 3-4 (from previous conversation)
**DETAILS**:
- 旧库 `LLZQ-test` → 新库 `etl_feiqiu` 数据迁移全部完成
- 73 张有数据表行数全部精确匹配（ODS 23、DWD 40、DWS 8、meta 3）
- 8 个物化视图（`mv_dws_*`）已重建并填充数据
- 索引：ods 69、dwd 135、dws 123（含 8 个物化视图索引）、meta 5
- ANALYZE 已对所有 6 个 schema 执行完毕
- `zqyy_app` 正式库只有 `admin_users` 1 行数据
**FILEPATHS**: `scripts/migrate/migrate_data.py`, `scripts/migrate/migrate_finalize.py`, `scripts/migrate/migrate_fix_remaining.py`
---
## TASK 3: 创建测试库并更新项目配置
**STATUS**: in-progress
**USER QUERIES**: 用户要求"完全复制/镜像现有的库，做一个测试库用于测试和开发，并且配置文件和项目中也使用测试库"
**DETAILS**:
### 已完成：
- 通过 dblink 创建了 `test_etl_feiqiu` 和 `test_zqyy_app` 数据库
- `scripts/ops/clone_to_test_db.py` 脚本执行成功，两个测试库均验证通过（`test_etl_feiqiu: OK`, `test_zqyy_app: OK`）
- `scripts/ops/fix_test_db.py` 补丁脚本执行成功：
- meta 3 表数据全部一致（etl_cursor: 44, etl_run: 8726, etl_task: 49）
- 8 个物化视图全部创建成功
- 8 个物化视图索引全部 OK
- ANALYZE 完成（110 个对象）
- 最终验证：全部通过
- 已更新的配置文件：
- `.env` — 添加了 `PG_NAME=test_etl_feiqiu`, `APP_DB_NAME=test_zqyy_app`, `ETL_DB_NAME=test_etl_feiqiu`
- `apps/backend/.env.local` — `APP_DB_NAME=test_zqyy_app`, `ETL_DB_NAME=test_etl_feiqiu`
- `.env.template` — 默认值更新为测试库名
- `apps/backend/app/config.py` — 硬编码默认值改为 `test_zqyy_app` / `test_etl_feiqiu`
### 未完成：
- ETL 的 `.env` 文件（`apps/etl/pipelines/feiqiu/.env`）中的 `PG_DSN` 仍指向正式库 `etl_feiqiu`，需要改为 `test_etl_feiqiu`
- `scripts/ops/clone_to_test_db.py` 中的 `init_test_etl_feiqiu()` 和 `init_test_zqyy_app()` 函数使用相对路径 `BASE_DIR` 查找 DDL 文件，当 cwd 不在项目根目录时会找不到文件（已在输出中看到 `[SKIP] 不存在` 错误），但数据迁移部分不受影响因为是直接从源库 COPY
- `scripts/ops/clone_to_test_db.py` 中 `migrate_matviews` 函数已修复分号问题（`defn.rstrip().rstrip(";").rstrip()`）
- FDW 配置（`db/fdw/setup_fdw.sql`）中 `dbname` 仍为 `etl_feiqiu`，测试环境可能需要对应的测试 FDW 配置
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`，可能需要更新指向测试库
- `getDiagnostics` 未对修改的配置文件运行
**NEXT STEPS**:
1. 更新 `apps/etl/pipelines/feiqiu/.env` 中的 `PG_DSN`：`etl_feiqiu` → `test_etl_feiqiu`
2. 检查是否还有其他文件引用正式库名需要更新（如 `db/fdw/setup_fdw.sql` 的测试版本）
3. 对修改的代码文件运行 `getDiagnostics` 验证
4. 考虑是否需要更新 MCP postgres 配置指向测试库
**FILEPATHS**: `scripts/ops/clone_to_test_db.py`, `scripts/ops/fix_test_db.py`, `.env`, `apps/backend/.env.local`, `.env.template`, `apps/backend/app/config.py`, `apps/etl/pipelines/feiqiu/.env`
---
## TASK 4: 审计（/audit）
**STATUS**: not-started
**DETAILS**: governance 规则要求对高风险变更运行 `/audit`。本次变更涉及 DB schema 变更、`config/` 目录文件修改、根目录 `.env` 修改，属于高风险。用户需手动触发。
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 系统没有 `psql` 命令行工具，但有 `psycopg2` Python 包
- shell cwd 可能不在项目根目录（常在 `C:\Project\NeoZQYY\apps\backend`），执行 Python 脚本需用绝对路径 `C:\Project\NeoZQYY\...`
- Windows 控制台需要 `$env:PYTHONIOENCODING="utf-8"` 处理中文输出
- MCP postgres 工具当前连接的是旧库 `LLZQ-test`，新库操作通过 dblink 或 psycopg2 脚本
- `local-Python` 用户是超级用户
- 数据库连接信息：Host: `100.64.0.4`, Port: `5432`, User: `local-Python`, Password: `Neo-local-1991125`
- 用户整理了 scripts 目录结构：`scripts/migrate/`（迁移脚本）、`scripts/ops/`（运维脚本）
- 正式库：`etl_feiqiu`（ETL 数据）、`zqyy_app`（业务应用）
- 测试库：`test_etl_feiqiu`、`test_zqyy_app`
- 旧库：`LLZQ-test`（已弃用）
- 应用角色：`app_reader`（密码：`AppR3ad_2026!`）、`app_user`（密码：`AppUs3r_2026!`）
## Files to read
- `apps/etl/pipelines/feiqiu/.env`
- `.env`
- `apps/backend/.env.local`
- `apps/backend/app/config.py`
- `scripts/ops/clone_to_test_db.py`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 我刚刚整理了路径，按照新的文件路径执行。
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. 呃...还有个问题，我在文档中明确指出了数据库的测试库需求，但现在使用的是正式库。为我完全复制/镜像现有的库，做一个测试库用于测试和开发，并且配置文件和项目中也使用测试库。
11. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
12. Output:
Command executed successfully with no output.
Exit Code: 0
13. 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
```

372
docs/audit/prompt_logs/prompt_log_20260215_230637.md
View File

@@ -1,186 +1,186 @@
- [P20260215-230637] 2026-02-15 23:06:37 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审计一览表机制现状…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审计一览表机制现状调查
**STATUS**: done
**USER QUERIES**: 1 ("现在还有审计一览表机制么？")
**DETAILS**: 确认审计一览表机制仍在，但迁移到 monorepo 后路径分裂：ETL 子项目下有完整的 27 条记录，根目录只有 2 条。`gen_audit_dashboard.py` 只扫描 ETL 子项目内的路径。
**FILEPATHS**: `apps/etl/pipelines/feiqiu/docs/audit/audit_dashboard.md`, `apps/etl/pipelines/feiqiu/scripts/gen_audit_dashboard.py`
---
## TASK 2: Monorepo 文件路径统一规划（审计 + docs/tests/scripts 两层分治）
**STATUS**: done
**USER QUERIES**: 2 ("怎么能合理的安排路径"), 3 ("合理，为我更新并将此修改信息...落地"), 4 ("加上这些规则...我担心后续Kiro会乱操作文件目录归属")
**DETAILS**: 完成了以下所有工作：
1. **审计记录迁移**: ETL 子项目 27 条历史审计记录已复制到根目录 `docs/audit/changes/`（总计 29 条 = 27 历史 + 2 monorepo 新增）
2. **新建项目级一览表生成脚本**: `scripts/audit/gen_audit_dashboard.py`（复用 ETL 子项目的解析模块），已验证运行成功（29 条记录）
3. **更新的配置/steering/hook/agent 文件**:
- `.kiro/steering/governance.md` — 审计产物路径明确指向根 `docs/audit/`，补充一览表刷新命令
- `.kiro/steering/structure-lite.md` — 精简为 ~24 行，只保留结论性规则
- `.kiro/steering/structure.md` — 扩展为 ~112 行，吸收完整目录树、架构模式、文件归属规则展开、速查表；改为 `fileMatch` inclusion
- `.kiro/agents/audit-writer.md` — 新增审计产物路径章节，更新刷新命令路径，扩展高风险路径覆盖 admin-web/miniprogram
- `.kiro/hooks/run-audit-writer.kiro.hook` — prompt 中补充"统一写入根目录"约束，脚本路径改为 `scripts/audit/gen_audit_dashboard.py`
- `.kiro/scripts/audit_flagger.py` — RISK_RULES 扩展了 `apps/admin-web/src/` 和 `apps/miniprogram/(miniapp|miniprogram)/`
4. **更新的文档文件**:
- `docs/audit/README.md` — 新建，项目级审计目录说明
- `docs/audit/audit_dashboard.md` — 重新生成（29 条）
- `docs/README.md` — 更新审计目录描述
- `apps/etl/pipelines/feiqiu/docs/audit/README.md` — 标记为历史归档，指向根目录
- `apps/etl/pipelines/feiqiu/docs/README.md` — 移除一览表相关说明，指向根目录
- `apps/etl/pipelines/feiqiu/scripts/README.md` — 修复旧路径 `C:\ZQYY\FQ-ETL` → `apps/etl/pipelines/feiqiu/`
- `scripts/README.md` — 新增 `audit/` 子目录说明
5. **新建文件**:
- `scripts/audit/__init__.py`
- `scripts/audit/gen_audit_dashboard.py`
**FILEPATHS**: `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`, `.kiro/steering/governance.md`, `.kiro/agents/audit-writer.md`, `.kiro/hooks/run-audit-writer.kiro.hook`, `.kiro/scripts/audit_flagger.py`, `docs/audit/README.md`, `docs/audit/audit_dashboard.md`, `docs/README.md`, `apps/etl/pipelines/feiqiu/docs/audit/README.md`, `apps/etl/pipelines/feiqiu/docs/README.md`, `apps/etl/pipelines/feiqiu/scripts/README.md`, `scripts/README.md`, `scripts/audit/gen_audit_dashboard.py`, `scripts/audit/__init__.py`
---
## TASK 3: structure-lite.md 精简 + structure.md 配合
**STATUS**: done
**USER QUERIES**: 5 ("structure-lite.md是否过重？"), 6 ("full 是 inclusion: auto是不是合理一些？"), 7 ("好的，为我修改")
**DETAILS**:
- `structure-lite.md` 从 ~80 行精简到 ~24 行（减少 70%），只保留结论性规则
- `structure.md` 从 ~50 行扩展到 ~112 行，吸收了归属规则展开、速查表、更新后的完整目录树
- 用户问 `inclusion: auto`，实际 Kiro 没有 auto 类型，建议用 `fileMatch`
- `structure.md` 设为 `fileMatch`，pattern: `pyproject.toml,**/pyproject.toml,.kiro/steering/structure-lite.md,.kiro/agents/**`
- `structure-lite.md` 引导文字更新为说明自动加载条件
**FILEPATHS**: `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 审计记录统一落到 `docs/audit/changes/`（根目录），禁止写入子模块内部
- 各 APP 及 Connector 的 docs/tests/scripts 是模块专属，放子项目内
- 根目录的 docs/tests/scripts 放项目级文件
- admin-web 和 miniprogram 已进入正式开发阶段，需要纳入审计高风险路径
- steering 的 inclusion 类型只有三种：always、manual、fileMatch（没有 auto）
- Shell 工作目录经常卡在 `apps\backend`，需要用绝对路径 `C:\NeoZQYY\...` 执行命令
- 项目根目录是 `C:\NeoZQYY`
## Files to read
- `.kiro/steering/structure-lite.md`
- `.kiro/steering/structure.md`
- `.kiro/steering/governance.md`
- `.kiro/agents/audit-writer.md`
- `.kiro/scripts/audit_flagger.py`
- `scripts/audit/gen_audit_dashboard.py`
USER QUERIES(most recent first):
1. 好的，为我修改。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 好的，为我修改。
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. full 是 inclusion: auto是不是合理一些？
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
12. structure-lite.md是否过重？有没有精简必要？若有详细内容查阅structure.md文件，进行配合？
13. Output:
Command executed successfully with no output.
Exit Code: 0
14. Output:
Command executed successfully with no output.
Exit Code: 0
15. Output:
Command executed successfully with no output.
Exit Code: 0
16. 已经开始进入正式开发阶段了，加上这些规则。另外，以下规则也要落到文档或者项目有关的文件中（甚至.kiro如果必要）。我担心后续Kiro会乱操作文件目录归属：- 审计记录统一落到 docs/audit/changes/（根目录）- 各个APP及Connector 的 docs/、tests/、scripts/ 都是模块专属内容，放在子项目内是对的- 根目录的 docs/（架构、PRD、权限矩阵等）、tests/（属性测试）、scripts/（运维）都是放项目级的相应文件另外，审计文件的迁移也做了吗，没做补上。
17. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
18. Output:
Command executed successfully with no output.
Exit Code: 0
19. Output:
Command executed successfully with no output.
Exit Code: 0
20. 合理，为我更新并将此修改信息，审计的管理规则在有关的文件中落地。并能保证之后的审计能按此规则走。另外，除审计外，其他方面还要调整么？
21. Output:
Command executed successfully with no output.
Exit Code: 0
22. Output:
Command executed successfully with no output.
Exit Code: 0
23. Output:
Command executed successfully with no output.
Exit Code: 0
24. 我在想，怎么能合理的安排路径。给我提点合理的意见。比如我在开发调试APPs下的admin-web或小程序服务，或小程序全段或某个ETL的Connector，那么每个模块的文档，审计，脚本测试等等一系列的文件，和总的项目级别的这些文件目录如何适配或者安排？
25. Output:
Command executed successfully with no output.
Exit Code: 0
26. Output:
Command executed successfully with no output.
Exit Code: 0
27. Output:
Command executed successfully with no output.
Exit Code: 0
28. 现在还有审计一览表机制么？
---
METADATA:
The previous conversation had 14 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
- [P20260215-230637] 2026-02-15 23:06:37 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 审计一览表机制现状…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 审计一览表机制现状调查
**STATUS**: done
**USER QUERIES**: 1 ("现在还有审计一览表机制么？")
**DETAILS**: 确认审计一览表机制仍在，但迁移到 monorepo 后路径分裂：ETL 子项目下有完整的 27 条记录，根目录只有 2 条。`gen_audit_dashboard.py` 只扫描 ETL 子项目内的路径。
**FILEPATHS**: `apps/etl/pipelines/feiqiu/docs/audit/audit_dashboard.md`, `apps/etl/pipelines/feiqiu/scripts/gen_audit_dashboard.py`
---
## TASK 2: Monorepo 文件路径统一规划（审计 + docs/tests/scripts 两层分治）
**STATUS**: done
**USER QUERIES**: 2 ("怎么能合理的安排路径"), 3 ("合理，为我更新并将此修改信息...落地"), 4 ("加上这些规则...我担心后续Kiro会乱操作文件目录归属")
**DETAILS**: 完成了以下所有工作：
1. **审计记录迁移**: ETL 子项目 27 条历史审计记录已复制到根目录 `docs/audit/changes/`（总计 29 条 = 27 历史 + 2 monorepo 新增）
2. **新建项目级一览表生成脚本**: `scripts/audit/gen_audit_dashboard.py`（复用 ETL 子项目的解析模块），已验证运行成功（29 条记录）
3. **更新的配置/steering/hook/agent 文件**:
- `.kiro/steering/governance.md` — 审计产物路径明确指向根 `docs/audit/`，补充一览表刷新命令
- `.kiro/steering/structure-lite.md` — 精简为 ~24 行，只保留结论性规则
- `.kiro/steering/structure.md` — 扩展为 ~112 行，吸收完整目录树、架构模式、文件归属规则展开、速查表；改为 `fileMatch` inclusion
- `.kiro/agents/audit-writer.md` — 新增审计产物路径章节，更新刷新命令路径，扩展高风险路径覆盖 admin-web/miniprogram
- `.kiro/hooks/run-audit-writer.kiro.hook` — prompt 中补充"统一写入根目录"约束，脚本路径改为 `scripts/audit/gen_audit_dashboard.py`
- `.kiro/scripts/audit_flagger.py` — RISK_RULES 扩展了 `apps/admin-web/src/` 和 `apps/miniprogram/(miniapp|miniprogram)/`
4. **更新的文档文件**:
- `docs/audit/README.md` — 新建，项目级审计目录说明
- `docs/audit/audit_dashboard.md` — 重新生成（29 条）
- `docs/README.md` — 更新审计目录描述
- `apps/etl/pipelines/feiqiu/docs/audit/README.md` — 标记为历史归档，指向根目录
- `apps/etl/pipelines/feiqiu/docs/README.md` — 移除一览表相关说明，指向根目录
- `apps/etl/pipelines/feiqiu/scripts/README.md` — 修复旧路径 `C:\ZQYY\FQ-ETL` → `apps/etl/pipelines/feiqiu/`
- `scripts/README.md` — 新增 `audit/` 子目录说明
5. **新建文件**:
- `scripts/audit/__init__.py`
- `scripts/audit/gen_audit_dashboard.py`
**FILEPATHS**: `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`, `.kiro/steering/governance.md`, `.kiro/agents/audit-writer.md`, `.kiro/hooks/run-audit-writer.kiro.hook`, `.kiro/scripts/audit_flagger.py`, `docs/audit/README.md`, `docs/audit/audit_dashboard.md`, `docs/README.md`, `apps/etl/pipelines/feiqiu/docs/audit/README.md`, `apps/etl/pipelines/feiqiu/docs/README.md`, `apps/etl/pipelines/feiqiu/scripts/README.md`, `scripts/README.md`, `scripts/audit/gen_audit_dashboard.py`, `scripts/audit/__init__.py`
---
## TASK 3: structure-lite.md 精简 + structure.md 配合
**STATUS**: done
**USER QUERIES**: 5 ("structure-lite.md是否过重？"), 6 ("full 是 inclusion: auto是不是合理一些？"), 7 ("好的，为我修改")
**DETAILS**:
- `structure-lite.md` 从 ~80 行精简到 ~24 行（减少 70%），只保留结论性规则
- `structure.md` 从 ~50 行扩展到 ~112 行，吸收了归属规则展开、速查表、更新后的完整目录树
- 用户问 `inclusion: auto`，实际 Kiro 没有 auto 类型，建议用 `fileMatch`
- `structure.md` 设为 `fileMatch`，pattern: `pyproject.toml,**/pyproject.toml,.kiro/steering/structure-lite.md,.kiro/agents/**`
- `structure-lite.md` 引导文字更新为说明自动加载条件
**FILEPATHS**: `.kiro/steering/structure-lite.md`, `.kiro/steering/structure.md`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有说明性文字使用简体中文
- 审计记录统一落到 `docs/audit/changes/`（根目录），禁止写入子模块内部
- 各 APP 及 Connector 的 docs/tests/scripts 是模块专属，放子项目内
- 根目录的 docs/tests/scripts 放项目级文件
- admin-web 和 miniprogram 已进入正式开发阶段，需要纳入审计高风险路径
- steering 的 inclusion 类型只有三种：always、manual、fileMatch（没有 auto）
- Shell 工作目录经常卡在 `apps\backend`，需要用绝对路径 `C:\Project\NeoZQYY\...` 执行命令
- 项目根目录是 `C:\Project\NeoZQYY`
## Files to read
- `.kiro/steering/structure-lite.md`
- `.kiro/steering/structure.md`
- `.kiro/steering/governance.md`
- `.kiro/agents/audit-writer.md`
- `.kiro/scripts/audit_flagger.py`
- `scripts/audit/gen_audit_dashboard.py`
USER QUERIES(most recent first):
1. 好的，为我修改。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 好的，为我修改。
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. full 是 inclusion: auto是不是合理一些？
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
12. structure-lite.md是否过重？有没有精简必要？若有详细内容查阅structure.md文件，进行配合？
13. Output:
Command executed successfully with no output.
Exit Code: 0
14. Output:
Command executed successfully with no output.
Exit Code: 0
15. Output:
Command executed successfully with no output.
Exit Code: 0
16. 已经开始进入正式开发阶段了，加上这些规则。另外，以下规则也要落到文档或者项目有关的文件中（甚至.kiro如果必要）。我担心后续Kiro会乱操作文件目录归属：- 审计记录统一落到 docs/audit/changes/（根目录）- 各个APP及Connector 的 docs/、tests/、scripts/ 都是模块专属内容，放在子项目内是对的- 根目录的 docs/（架构、PRD、权限矩阵等）、tests/（属性测试）、scripts/（运维）都是放项目级的相应文件另外，审计文件的迁移也做了吗，没做补上。
17. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:backend, dir:etl, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
18. Output:
Command executed successfully with no output.
Exit Code: 0
19. Output:
Command executed successfully with no output.
Exit Code: 0
20. 合理，为我更新并将此修改信息，审计的管理规则在有关的文件中落地。并能保证之后的审计能按此规则走。另外，除审计外，其他方面还要调整么？
21. Output:
Command executed successfully with no output.
Exit Code: 0
22. Output:
Command executed successfully with no output.
Exit Code: 0
23. Output:
Command executed successfully with no output.
Exit Code: 0
24. 我在想，怎么能合理的安排路径。给我提点合理的意见。比如我在开发调试APPs下的admin-web或小程序服务，或小程序全段或某个ETL的Connector，那么每个模块的文档，审计，脚本测试等等一系列的文件，和总的项目级别的这些文件目录如何适配或者安排？
25. Output:
Command executed successfully with no output.
Exit Code: 0
26. Output:
Command executed successfully with no output.
Exit Code: 0
27. Output:
Command executed successfully with no output.
Exit Code: 0
28. 现在还有审计一览表机制么？
---
METADATA:
The previous conversation had 14 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
```

2
docs/audit/prompt_logs/prompt_log_20260215_233420.md
View File

@@ -2,5 +2,5 @@
- summary: CMD提示30秒，卡住。ps内容：Windows PowerShell版权所有 (C) Microsoft Corporation。保留所有权利。加载个人及系统配置文件用了 6673 毫秒。=== 后端 FastAPI ===INFO: W…
- prompt:
```text
CMD提示30秒，卡住。ps内容：Windows PowerShell版权所有 (C) Microsoft Corporation。保留所有权利。加载个人及系统配置文件用了 6673 毫秒。=== 后端 FastAPI ===INFO: Will watch for changes in these directories: ['C:\\NeoZQYY\\apps\\backend']INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)INFO: Started reloader process [7504] using WatchFilesINFO: Started server process [8776]INFO: Waiting for application startup.INFO: Application startup complete.--------------------Windows PowerShell版权所有 (C) Microsoft Corporation。保留所有权利。加载个人及系统配置文件用了 5839 毫秒。=== 前端 Vite ===> admin-web@0.1.0 dev C:\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 916 ms鉃?[39m Local: http://localhost:5173/鉃?[39m Network: use --host to expose鉃?[39m press h + enter to show help----------------另外，我换了新版本的Powershell 7
CMD提示30秒，卡住。ps内容：Windows PowerShell版权所有 (C) Microsoft Corporation。保留所有权利。加载个人及系统配置文件用了 6673 毫秒。=== 后端 FastAPI ===INFO: Will watch for changes in these directories: ['C:\\NeoZQYY\\apps\\backend']INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)INFO: Started reloader process [7504] using WatchFilesINFO: Started server process [8776]INFO: Waiting for application startup.INFO: Application startup complete.--------------------Windows PowerShell版权所有 (C) Microsoft Corporation。保留所有权利。加载个人及系统配置文件用了 5839 毫秒。=== 前端 Vite ===> admin-web@0.1.0 dev C:\Project\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 916 ms鉃?[39m Local: http://localhost:5173/鉃?[39m Network: use --host to expose鉃?[39m press h + enter to show help----------------另外，我换了新版本的Powershell 7
```

4
docs/audit/prompt_logs/prompt_log_20260215_233930.md
View File

@@ -1,6 +1,6 @@
- [P20260215-233930] 2026-02-15 23:39:30 +0800
- summary: ========================================NeoZQYY 管理后台启动脚本========================================项目根目录: C:\NeoZQYY启动失败: T…
- summary: ========================================NeoZQYY 管理后台启动脚本========================================项目根目录: C:\Project\NeoZQYY启动失败: T…
- prompt:
```text
========================================NeoZQYY 管理后台启动脚本========================================项目根目录: C:\NeoZQYY启动失败: The process cannot access the file 'C:\Users\Administrator\AppData\Local\Temp\neozqyy_frontend.log' because it is being used by another process.at <ScriptBlock>, C:\NeoZQYY\scripts\ops\start-admin.ps1: line 29按任意键关闭此窗口...
========================================NeoZQYY 管理后台启动脚本========================================项目根目录: C:\Project\NeoZQYY启动失败: The process cannot access the file 'C:\Users\Administrator\AppData\Local\Temp\neozqyy_frontend.log' because it is being used by another process.at <ScriptBlock>, C:\Project\NeoZQYY\scripts\ops\start-admin.ps1: line 29按任意键关闭此窗口...
```

2
docs/audit/prompt_logs/prompt_log_20260215_235720.md
View File

@@ -2,5 +2,5 @@
- summary: 我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了另外，这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的。现实PowerShell 7.5.4=== 前端 Vite ===> admin-web@0…
- prompt:
```text
我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了另外，这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的。现实PowerShell 7.5.4=== 前端 Vite ===> admin-web@0.1.0 dev C:\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 407 ms鉃?[39m Local: http://localhost:5173/ 鉃?[39m Network: use --host to expose 鉃?[39m press h + enter to show help
我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了另外，这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的。现实PowerShell 7.5.4=== 前端 Vite ===> admin-web@0.1.0 dev C:\Project\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 407 ms鉃?[39m Local: http://localhost:5173/ 鉃?[39m Network: use --host to expose 鉃?[39m press h + enter to show help
```

274
docs/audit/prompt_logs/prompt_log_20260216_001111.md
View File

@@ -1,137 +1,137 @@
- [P20260216-001111] 2026-02-16 00:11:11 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Fix admin…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Fix admin-web white screen after login
**STATUS**: done
**USER QUERIES**: 1 ("为什么管理后台登录后正常内容删了一下，然后白屏了？"), 3 ("依然白屏。如果出现白屏，能不能报错呢？"), 5 ("我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了")
**DETAILS**:
Root cause identified and fixed through live browser debugging with Playwright:
- The backend endpoints `/api/tasks/registry` and `/api/tasks/dwd-tables` return wrapped responses: `{"groups": {"域名": [...]}}`
- The frontend `fetchTaskRegistry()` and `fetchDwdTables()` in `tasks.ts` were NOT unwrapping `.groups`, treating the entire response object as the data map
- Additionally, `fetchDwdTables` expected `Record<string, string[]>` but backend returns `Record<string, DwdTableItem[]>` (objects, not strings)
- `DwdTableSelector` component called `tables.map()` on object values → `TypeError: tables.map is not a function`
- No React Error Boundary existed → entire render tree crashed → white screen
**Files changed**:
1. `apps/admin-web/src/api/tasks.ts` — Fixed `fetchTaskRegistry()` to unwrap `.groups` from response; Fixed `fetchDwdTables()` to unwrap `.groups` AND extract `.table_name` from each item to produce `string[]`
2. `apps/admin-web/src/components/ErrorBoundary.tsx` — NEW FILE: React class component Error Boundary showing error message + reload button instead of white screen
3. `apps/admin-web/src/main.tsx` — Wrapped `<App>` with `<ErrorBoundary>` at root level
**Additional defensive changes** (not the root cause but kept as protection):
4. `apps/admin-web/src/api/client.ts` — `clearTokensAndRedirect()` now dispatches `window.dispatchEvent(new Event("auth:force-logout"))` before hard redirect, to sync Zustand store state
5. `apps/admin-web/src/store/authStore.ts` — Added `window.addEventListener("auth:force-logout", ...)` listener that calls `logout()` to clear Zustand state when axios interceptor forces logout. Changed `create<AuthState>((set)` to `create<AuthState>((set, get)` (though `get` isn't used yet)
**Verification**: Successfully logged in with real credentials via Playwright browser, full page rendered correctly with sidebar, task config, 52 tasks, 40 DWD tables, action buttons. No more white screen.
**FILEPATHS**: `apps/admin-web/src/api/tasks.ts`, `apps/admin-web/src/components/ErrorBoundary.tsx`, `apps/admin-web/src/main.tsx`, `apps/admin-web/src/api/client.ts`, `apps/admin-web/src/store/authStore.ts`
---
## TASK 2: PowerShell terminal encoding issue (乱码)
**STATUS**: not-started
**USER QUERIES**: 5 ("这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的")
**DETAILS**: User reported that the Vite dev server terminal shows garbled ANSI escape codes (乱码) in one PowerShell window while other two PowerShell windows display correctly. This was mentioned but not addressed — focus was on the white screen bug.
**FILEPATHS**: `scripts/ops/start-admin.ps1`
---
## TASK 3: Audit pending
**STATUS**: not-started
**USER QUERIES**: System hook reminders throughout conversation
**DETAILS**: The governance hooks flagged audit required for changes in `admin-web/src/` (high-risk path). User should manually trigger `/audit` when ready. Changed files: `tasks.ts`, `client.ts`, `authStore.ts`, `main.tsx`, new `ErrorBoundary.tsx`.
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All explanatory text must be in simplified Chinese (强制)
- Code identifiers stay in English
- Login credentials: username `admin`, password `%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT`
- Backend runs via `uv run uvicorn app.main:app --port 8000` from `apps/backend/`
- Frontend runs via `npx vite` from `apps/admin-web/` (may pick different port if 5173 occupied)
- Vite proxy config forwards `/api` to `localhost:8000`
- Python scripts preferred over complex PowerShell for multi-step operations
- Audit artifacts go to `docs/audit/`, never inside submodules
- Backend connects to `test_zqyy_app` database (configured in `apps/backend/.env.local`)
## Files to read
- `apps/admin-web/src/api/tasks.ts`
- `apps/admin-web/src/components/ErrorBoundary.tsx`
- `apps/admin-web/src/main.tsx`
- `apps/admin-web/src/api/client.ts`
- `apps/admin-web/src/store/authStore.ts`
- `apps/admin-web/src/App.tsx`
- `apps/backend/app/routers/tasks.py`
USER QUERIES(most recent first):
1. 我关闭了前后端，你自己启动吧。另外，用户名：admin。密码：%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT继续你的Debug
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 我关闭了前后端，你自己启动吧。另外，用户名：admin。密码：%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT继续你的Debug
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了另外，这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的。现实PowerShell 7.5.4=== 前端 Vite ===> admin-web@0.1.0 dev C:\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 407 ms鉃?[39m Local: http://localhost:5173/ 鉃?[39m Network: use --host to expose 鉃?[39m press h + enter to show help
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. 依然白屏。如果出现白屏，能不能报错呢？
11. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:admin-web, dir:backend, dir:etl, dir:miniprogram, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
12. Output:
Command executed successfully with no output.
Exit Code: 0
13. Output:
Command executed successfully with no output.
Exit Code: 0
14. 为什么管理后台登录后正常内容删了一下，然后白屏了？
---
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
- [P20260216-001111] 2026-02-16 00:11:11 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Fix admin…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Fix admin-web white screen after login
**STATUS**: done
**USER QUERIES**: 1 ("为什么管理后台登录后正常内容删了一下，然后白屏了？"), 3 ("依然白屏。如果出现白屏，能不能报错呢？"), 5 ("我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了")
**DETAILS**:
Root cause identified and fixed through live browser debugging with Playwright:
- The backend endpoints `/api/tasks/registry` and `/api/tasks/dwd-tables` return wrapped responses: `{"groups": {"域名": [...]}}`
- The frontend `fetchTaskRegistry()` and `fetchDwdTables()` in `tasks.ts` were NOT unwrapping `.groups`, treating the entire response object as the data map
- Additionally, `fetchDwdTables` expected `Record<string, string[]>` but backend returns `Record<string, DwdTableItem[]>` (objects, not strings)
- `DwdTableSelector` component called `tables.map()` on object values → `TypeError: tables.map is not a function`
- No React Error Boundary existed → entire render tree crashed → white screen
**Files changed**:
1. `apps/admin-web/src/api/tasks.ts` — Fixed `fetchTaskRegistry()` to unwrap `.groups` from response; Fixed `fetchDwdTables()` to unwrap `.groups` AND extract `.table_name` from each item to produce `string[]`
2. `apps/admin-web/src/components/ErrorBoundary.tsx` — NEW FILE: React class component Error Boundary showing error message + reload button instead of white screen
3. `apps/admin-web/src/main.tsx` — Wrapped `<App>` with `<ErrorBoundary>` at root level
**Additional defensive changes** (not the root cause but kept as protection):
4. `apps/admin-web/src/api/client.ts` — `clearTokensAndRedirect()` now dispatches `window.dispatchEvent(new Event("auth:force-logout"))` before hard redirect, to sync Zustand store state
5. `apps/admin-web/src/store/authStore.ts` — Added `window.addEventListener("auth:force-logout", ...)` listener that calls `logout()` to clear Zustand state when axios interceptor forces logout. Changed `create<AuthState>((set)` to `create<AuthState>((set, get)` (though `get` isn't used yet)
**Verification**: Successfully logged in with real credentials via Playwright browser, full page rendered correctly with sidebar, task config, 52 tasks, 40 DWD tables, action buttons. No more white screen.
**FILEPATHS**: `apps/admin-web/src/api/tasks.ts`, `apps/admin-web/src/components/ErrorBoundary.tsx`, `apps/admin-web/src/main.tsx`, `apps/admin-web/src/api/client.ts`, `apps/admin-web/src/store/authStore.ts`
---
## TASK 2: PowerShell terminal encoding issue (乱码)
**STATUS**: not-started
**USER QUERIES**: 5 ("这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的")
**DETAILS**: User reported that the Vite dev server terminal shows garbled ANSI escape codes (乱码) in one PowerShell window while other two PowerShell windows display correctly. This was mentioned but not addressed — focus was on the white screen bug.
**FILEPATHS**: `scripts/ops/start-admin.ps1`
---
## TASK 3: Audit pending
**STATUS**: not-started
**USER QUERIES**: System hook reminders throughout conversation
**DETAILS**: The governance hooks flagged audit required for changes in `admin-web/src/` (high-risk path). User should manually trigger `/audit` when ready. Changed files: `tasks.ts`, `client.ts`, `authStore.ts`, `main.tsx`, new `ErrorBoundary.tsx`.
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All explanatory text must be in simplified Chinese (强制)
- Code identifiers stay in English
- Login credentials: username `admin`, password `%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT`
- Backend runs via `uv run uvicorn app.main:app --port 8000` from `apps/backend/`
- Frontend runs via `npx vite` from `apps/admin-web/` (may pick different port if 5173 occupied)
- Vite proxy config forwards `/api` to `localhost:8000`
- Python scripts preferred over complex PowerShell for multi-step operations
- Audit artifacts go to `docs/audit/`, never inside submodules
- Backend connects to `test_zqyy_app` database (configured in `apps/backend/.env.local`)
## Files to read
- `apps/admin-web/src/api/tasks.ts`
- `apps/admin-web/src/components/ErrorBoundary.tsx`
- `apps/admin-web/src/main.tsx`
- `apps/admin-web/src/api/client.ts`
- `apps/admin-web/src/store/authStore.ts`
- `apps/admin-web/src/App.tsx`
- `apps/backend/app/routers/tasks.py`
USER QUERIES(most recent first):
1. 我关闭了前后端，你自己启动吧。另外，用户名：admin。密码：%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT继续你的Debug
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 我关闭了前后端，你自己启动吧。另外，用户名：admin。密码：%nCpJg9J&<uN>FFT!_&:6TX1zk}|NPkkWjsW;u!dQQ>St!}Tn8{iTP.&*p!mu#UT继续你的Debug
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 我打错字了，我想说的是：登录成功后正常内容闪了一下，然后白屏了另外，这个前端PowerShell 乱码，其他2个PowerShell 窗口是正常的。现实PowerShell 7.5.4=== 前端 Vite ===> admin-web@0.1.0 dev C:\Project\NeoZQYY\apps\admin-web> viteVITE v6.3.5 ready in 407 ms鉃?[39m Local: http://localhost:5173/ 鉃?[39m Network: use --host to expose 鉃?[39m press h + enter to show help
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. 依然白屏。如果出现白屏，能不能报错呢？
11. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:admin-web, dir:backend, dir:etl, dir:miniprogram, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
12. Output:
Command executed successfully with no output.
Exit Code: 0
13. Output:
Command executed successfully with no output.
Exit Code: 0
14. 为什么管理后台登录后正常内容删了一下，然后白屏了？
---
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
```

4
docs/audit/prompt_logs/prompt_log_20260216_200641.md
View File

@@ -1,6 +1,6 @@
- [P20260216-200641] 2026-02-16 20:06:41 +0800
- summary: PS C:\NeoZQYY>python scripts/ops/analyze_dataflow.py --limit 200表不存在或无列: dwd.assistant_accounts_master表不存在或无列: dwd.settl…
- summary: PS C:\Project\NeoZQYY>python scripts/ops/analyze_dataflow.py --limit 200表不存在或无列: dwd.assistant_accounts_master表不存在或无列: dwd.settl…
- prompt:
```text
PS C:\NeoZQYY>python scripts/ops/analyze_dataflow.py --limit 200表不存在或无列: dwd.assistant_accounts_master表不存在或无列: dwd.settlement_records表不存在或无列: dwd.table_fee_transactions表不存在或无列: dwd.assistant_service_records表不存在或无列: dwd.assistant_cancellation_records表不存在或无列: dwd.store_goods_sales_records表不存在或无列: dwd.payment_transactions表不存在或无列: dwd.refund_transactions表不存在或无列: dwd.platform_coupon_redemption_records表不存在或无列: dwd.member_profiles表不存在或无列: dwd.member_stored_value_cards表不存在或无列: dwd.member_balance_changes表不存在或无列: dwd.recharge_settlements表不存在或无列: dwd.group_buy_packages表不存在或无列: dwd.group_buy_redemption_records表不存在或无列: dwd.goods_stock_summary表不存在或无列: dwd.goods_stock_movements表不存在或无列: dwd.site_tables_master表不存在或无列: dwd.stock_goods_category_tree表不存在或无列: dwd.store_goods_master表不存在或无列: dwd.table_fee_discount_records表不存在或无列: dwd.tenant_goods_master表不存在或无列: dwd.settlement_ticket_details============================================================数据流结构分析完成============================================================输出目录: C:\NeoZQYY\export\dataflow_analysis报告文件名: dataflow_2026-02-16_200507.md分析表数: 23 (23 成功, 0 失败)总记录数: 3405落盘路径:json_trees: C:\NeoZQYY\export\dataflow_analysis\json_treesdb_schemas: C:\NeoZQYY\export\dataflow_analysis\db_schemasmanifest: C:\NeoZQYY\export\dataflow_analysis============================================================PS C:\NeoZQYY>
PS C:\Project\NeoZQYY>python scripts/ops/analyze_dataflow.py --limit 200表不存在或无列: dwd.assistant_accounts_master表不存在或无列: dwd.settlement_records表不存在或无列: dwd.table_fee_transactions表不存在或无列: dwd.assistant_service_records表不存在或无列: dwd.assistant_cancellation_records表不存在或无列: dwd.store_goods_sales_records表不存在或无列: dwd.payment_transactions表不存在或无列: dwd.refund_transactions表不存在或无列: dwd.platform_coupon_redemption_records表不存在或无列: dwd.member_profiles表不存在或无列: dwd.member_stored_value_cards表不存在或无列: dwd.member_balance_changes表不存在或无列: dwd.recharge_settlements表不存在或无列: dwd.group_buy_packages表不存在或无列: dwd.group_buy_redemption_records表不存在或无列: dwd.goods_stock_summary表不存在或无列: dwd.goods_stock_movements表不存在或无列: dwd.site_tables_master表不存在或无列: dwd.stock_goods_category_tree表不存在或无列: dwd.store_goods_master表不存在或无列: dwd.table_fee_discount_records表不存在或无列: dwd.tenant_goods_master表不存在或无列: dwd.settlement_ticket_details============================================================数据流结构分析完成============================================================输出目录: C:\Project\NeoZQYY\export\dataflow_analysis报告文件名: dataflow_2026-02-16_200507.md分析表数: 23 (23 成功, 0 失败)总记录数: 3405落盘路径:json_trees: C:\Project\NeoZQYY\export\dataflow_analysis\json_treesdb_schemas: C:\Project\NeoZQYY\export\dataflow_analysis\db_schemasmanifest: C:\Project\NeoZQYY\export\dataflow_analysis============================================================PS C:\Project\NeoZQYY>
```

20
docs/audit/prompt_logs/prompt_log_20260216_200722.md
View File

@@ -16,7 +16,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
### 第一阶段：数据采集 — DONE
- Ran `python scripts/ops/analyze_dataflow.py --limit 200` successfully
- 23 tables collected, all succeeded, 3405 total records
- Output to `C:\NeoZQYY\export\dataflow_analysis\` with subdirs: `json_trees/`, `db_schemas/`, `collection_manifest.json`
- Output to `C:\Project\NeoZQYY\export\dataflow_analysis\` with subdirs: `json_trees/`, `db_schemas/`, `collection_manifest.json`
- DWD tables all returned 0 columns (DWD table names don't match ODS table names — DWD uses dimension/fact table names like `dim_member`, `dim_assistant`, not the ODS raw table names). This is expected behavior.
### 第二阶段：语义分析 — IN PROGRESS (data reading complete, analysis not started)
@@ -33,7 +33,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- JSON→ODS mapping (matched, payload-only, ignored fields)
- ODS→DWD mapping (direct, ETL-derived, SCD2 version control columns)
- Field coverage stats, type distribution, upstream/downstream mapping coverage
- Save to `SYSTEM_ANALYZE_ROOT` (`C:\NeoZQYY\export\dataflow_analysis\`) as `dataflow_YYYY-MM-DD_HHMMSS.md`
- Save to `SYSTEM_ANALYZE_ROOT` (`C:\Project\NeoZQYY\export\dataflow_analysis\`) as `dataflow_YYYY-MM-DD_HHMMSS.md`
### Key Data Summary from collection_manifest.json:
| Table | Records | ODS Cols | DWD Cols |
@@ -69,7 +69,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- DDL COMMENTs follow pattern: `【说明】...【示例】...【JSON字段】...`
**NEXT STEPS**:
1. Read remaining ODS schema files (18 more) from `C:\NeoZQYY\export\dataflow_analysis\db_schemas\ods_*.json`
1. Read remaining ODS schema files (18 more) from `C:\Project\NeoZQYY\export\dataflow_analysis\db_schemas\ods_*.json`
2. Read ETL source code for data flow understanding:
- `apps/etl/pipelines/feiqiu/loaders/ods/generic.py` (ODS loader)
- `apps/etl/pipelines/feiqiu/loaders/base_loader.py`
@@ -80,15 +80,15 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- Field purpose inference using DDL COMMENT + JSON samples + ETL code
- ODS→DWD mapping (requires reading DWD DDL files from `db/etl_feiqiu/schemas/` since runtime query returned empty)
4. Generate per-table statistics: field coverage rate, type distribution, mapping coverage
5. Assemble final Markdown report and save to `C:\NeoZQYY\export\dataflow_analysis\dataflow_2026-02-16_HHMMSS.md`
5. Assemble final Markdown report and save to `C:\Project\NeoZQYY\export\dataflow_analysis\dataflow_2026-02-16_HHMMSS.md`
**FILEPATHS**:
- `scripts/ops/analyze_dataflow.py` — CLI entry point
- `scripts/ops/dataflow_analyzer.py` — core collection module with ODS_SPECS
- `C:\NeoZQYY\export\dataflow_analysis\collection_manifest.json` — collection results
- `C:\NeoZQYY\export\dataflow_analysis\json_trees\*.json` — 23 JSON tree files (all read)
- `C:\NeoZQYY\export\dataflow_analysis\db_schemas\ods_*.json` — 23 ODS schema files (5 read)
- `C:\NeoZQYY\export\dataflow_analysis\db_schemas\dwd_*.json` — 23 DWD schema files (all empty/0 cols)
- `C:\Project\NeoZQYY\export\dataflow_analysis\collection_manifest.json` — collection results
- `C:\Project\NeoZQYY\export\dataflow_analysis\json_trees\*.json` — 23 JSON tree files (all read)
- `C:\Project\NeoZQYY\export\dataflow_analysis\db_schemas\ods_*.json` — 23 ODS schema files (5 read)
- `C:\Project\NeoZQYY\export\dataflow_analysis\db_schemas\dwd_*.json` — 23 DWD schema files (all empty/0 cols)
- `apps/etl/pipelines/feiqiu/loaders/` — ETL loader code
- `apps/etl/pipelines/feiqiu/docs/architecture/data_flow.md` — architecture doc (read)
- `.kiro/specs/dataflow-structure-audit/tasks.md` — spec tasks (all completed)
@@ -96,14 +96,14 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
**USER CORRECTIONS AND INSTRUCTIONS**:
- 当前仅分析飞球（feiqiu）连接器
- 报告使用中文
- Output to `SYSTEM_ANALYZE_ROOT` = `C:\NeoZQYY\export\dataflow_analysis`
- Output to `SYSTEM_ANALYZE_ROOT` = `C:\Project\NeoZQYY\export\dataflow_analysis`
- Filename format: `dataflow_YYYY-MM-DD_HHMMSS.md`
- DWD layer uses different table names (dim_member, dim_assistant, fact_* etc.) not the ODS raw table names — need to look at DDL files or ETL code to find the actual DWD table mappings
- The workspace steering rules require: Chinese output, UTF-8, audit for high-risk changes, Python scripts for complex ops
- This is a Kiro Hook-triggered analysis workflow (hook at `.kiro/hooks/dataflow-analyze.kiro.hook`)
## Files to read
- `C:\NeoZQYY\export\dataflow_analysis\collection_manifest.json`
- `C:\Project\NeoZQYY\export\dataflow_analysis\collection_manifest.json`
- `apps/etl/pipelines/feiqiu/loaders/ods/generic.py`
- `apps/etl/pipelines/feiqiu/loaders/base_loader.py`
- `apps/etl/pipelines/feiqiu/docs/architecture/data_flow.md`

268
docs/audit/prompt_logs/prompt_log_20260217_022912.md
View File

@@ -1,134 +1,134 @@
- [P20260217-022912] 2026-02-17 02:29:12 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Enhance d…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Enhance dataflow analysis scripts with field mapping columns and anchor links
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Completed in earlier conversation. Added `dwd_tables`, `parse_table_map()`, `parse_fact_mappings()`, `build_field_mappings()` to `dataflow_analyzer.py`. Updated hook to v2.0.
**FILEPATHS**: `scripts/ops/dataflow_analyzer.py`, `.kiro/hooks/dataflow-analyze.kiro.hook`, `tests/test_dataflow_analyzer.py`
---
## TASK 2: Enhance report with business descriptions, sample values, JSON field counts, and diff report
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Enhanced `dataflow_analyzer.py` and rewrote `gen_dataflow_report.py` to v3 with BD_manual descriptions, multi-sample display, enum detection, field diff report.
**FILEPATHS**: `scripts/ops/dataflow_analyzer.py`, `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## TASK 3: Enhance 1.1 field diff report with clickable fields, detail sub-tables, bold unmapped rows
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Rewrote `_write_field_diff_report()` in `gen_dataflow_report.py`. Summary table shows count + anchor links to per-table sub-tables. Nested objects use `<details>` collapse. Unmapped rows are bold. Added 10 tests in `TestFieldDiffSubTables`. All 84 tests passed.
**FILEPATHS**: `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## TASK 4: Fix section numbering (1.1.x → incremental) and add "推测用途" + 置信度 columns to diff sub-tables
**STATUS**: in-progress
**USER QUERIES**: User asked: "第1章节号整理一下。各字段差异明细，根据上下文和表格作用，猜测字段作用，并将置信度标出。"
**DETAILS**:
- Changed `1.1.x` to incremental `1.1.{sub_idx}` numbering in `_write_field_diff_report()` — DONE
- Added `_FIELD_GUESS_RULES` list (regex pattern → purpose → confidence) and `_guess_field_purpose()` function — DONE
- Added "推测用途" and "置信度" columns to all 5 sub-table types (flat unmapped, nested, ODS no JSON, ODS no DWD, DWD no ODS) — DONE
- Updated `test_diff_subtable_title` test to check for `1.1.1` instead of `1.1.x` — DONE
- Added `TestGuessFieldPurpose` (8 tests) and `TestDiffSubTablePurposeColumn` (4 tests) — DONE
- **CRITICAL BUG FOUND AND PARTIALLY FIXED**: There were TWO duplicate `_FIELD_GUESS_RULES` definitions in the file. The first (correct) one has proper rule ordering (specific IDs like `tenant_id` before generic `_id$`). The second (old/duplicate) one had wrong ordering where `_id$` came before `tenant_id`, causing `tenant_id` to match as generic "关联实体 ID" instead of "租户/组织标识".
- **LAST EDIT**: Successfully deleted the second duplicate `_FIELD_GUESS_RULES` and its duplicate `_guess_field_purpose` function via `strReplace`. The replacement was confirmed successful.
- **NOT YET VERIFIED**: Tests have NOT been run after the duplicate deletion fix. The last test run showed 1 failure (`test_foreign_key`) due to the duplicate. Need to re-run tests to confirm the fix works.
**NEXT STEPS**:
1. Run full test suite: `Set-Location C:\NeoZQYY ; python -m pytest tests/test_dataflow_analyzer.py -v --tb=short` to verify the duplicate deletion fixed the `test_foreign_key` failure
2. If tests pass, verify no diagnostics issues on `scripts/ops/gen_dataflow_report.py`
3. Confirm all 96 tests pass (74 original + 10 diff sub-table + 8 guess purpose + 4 purpose column)
**FILEPATHS**: `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All prose/comments/docs in 简体中文; code identifiers stay English
- Scripts go in `scripts/ops/`; tests in root `tests/`
- This is NOT a high-risk path change (scripts/ops + tests), no `/audit` needed
- Markdown `<details>` tags used for nested object collapse
- ETL meta columns excluded from diff: `source_file`, `source_endpoint`, `fetched_at`, `payload`, `content_hash`
- Report generated by 2-phase process: Python script collects data → `gen_dataflow_report.py` assembles Markdown
- Anchors: `api-{table-name}`, `ods-{table-name}`, `dwd-{dwd-short-name}` (underscores → hyphens)
- Diff anchors: `diff-{table-name}` (underscores → hyphens)
- Shell working directory may drift — always use `Set-Location C:\NeoZQYY` before running root-level commands
## Key Architecture Context:
- `dataflow_analyzer.py` — core collection module
- `gen_dataflow_report.py` — report generator reading collected JSON, outputting Markdown
- `_FIELD_GUESS_RULES` — ordered list of `(regex, purpose_text, confidence)` tuples; first match wins, so specific patterns must precede generic ones
- `_guess_field_purpose(field_name, table_name, layer)` → `(purpose, confidence)` using `_re.search`
## Files to read:
- `scripts/ops/gen_dataflow_report.py` — the main file being edited, verify the duplicate `_FIELD_GUESS_RULES` was properly removed (should only have ONE definition around line 63, and ONE `_guess_field_purpose` function)
- `tests/test_dataflow_analyzer.py` — test file with new test classes `TestGuessFieldPurpose`, `TestDiffSubTablePurposeColumn`, `TestFieldDiffSubTables`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 第1章节号整理一下。各字段差异明细，根据上下文和表格作用，猜测字段作用，并将置信度标出。
8. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:admin-web, dir:backend, dir:etl, dir:miniprogram, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
- [P20260217-022912] 2026-02-17 02:29:12 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Enhance d…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Enhance dataflow analysis scripts with field mapping columns and anchor links
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Completed in earlier conversation. Added `dwd_tables`, `parse_table_map()`, `parse_fact_mappings()`, `build_field_mappings()` to `dataflow_analyzer.py`. Updated hook to v2.0.
**FILEPATHS**: `scripts/ops/dataflow_analyzer.py`, `.kiro/hooks/dataflow-analyze.kiro.hook`, `tests/test_dataflow_analyzer.py`
---
## TASK 2: Enhance report with business descriptions, sample values, JSON field counts, and diff report
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Enhanced `dataflow_analyzer.py` and rewrote `gen_dataflow_report.py` to v3 with BD_manual descriptions, multi-sample display, enum detection, field diff report.
**FILEPATHS**: `scripts/ops/dataflow_analyzer.py`, `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## TASK 3: Enhance 1.1 field diff report with clickable fields, detail sub-tables, bold unmapped rows
**STATUS**: done
**USER QUERIES**: From previous conversation
**DETAILS**: Rewrote `_write_field_diff_report()` in `gen_dataflow_report.py`. Summary table shows count + anchor links to per-table sub-tables. Nested objects use `<details>` collapse. Unmapped rows are bold. Added 10 tests in `TestFieldDiffSubTables`. All 84 tests passed.
**FILEPATHS**: `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## TASK 4: Fix section numbering (1.1.x → incremental) and add "推测用途" + 置信度 columns to diff sub-tables
**STATUS**: in-progress
**USER QUERIES**: User asked: "第1章节号整理一下。各字段差异明细，根据上下文和表格作用，猜测字段作用，并将置信度标出。"
**DETAILS**:
- Changed `1.1.x` to incremental `1.1.{sub_idx}` numbering in `_write_field_diff_report()` — DONE
- Added `_FIELD_GUESS_RULES` list (regex pattern → purpose → confidence) and `_guess_field_purpose()` function — DONE
- Added "推测用途" and "置信度" columns to all 5 sub-table types (flat unmapped, nested, ODS no JSON, ODS no DWD, DWD no ODS) — DONE
- Updated `test_diff_subtable_title` test to check for `1.1.1` instead of `1.1.x` — DONE
- Added `TestGuessFieldPurpose` (8 tests) and `TestDiffSubTablePurposeColumn` (4 tests) — DONE
- **CRITICAL BUG FOUND AND PARTIALLY FIXED**: There were TWO duplicate `_FIELD_GUESS_RULES` definitions in the file. The first (correct) one has proper rule ordering (specific IDs like `tenant_id` before generic `_id$`). The second (old/duplicate) one had wrong ordering where `_id$` came before `tenant_id`, causing `tenant_id` to match as generic "关联实体 ID" instead of "租户/组织标识".
- **LAST EDIT**: Successfully deleted the second duplicate `_FIELD_GUESS_RULES` and its duplicate `_guess_field_purpose` function via `strReplace`. The replacement was confirmed successful.
- **NOT YET VERIFIED**: Tests have NOT been run after the duplicate deletion fix. The last test run showed 1 failure (`test_foreign_key`) due to the duplicate. Need to re-run tests to confirm the fix works.
**NEXT STEPS**:
1. Run full test suite: `Set-Location C:\Project\NeoZQYY ; python -m pytest tests/test_dataflow_analyzer.py -v --tb=short` to verify the duplicate deletion fixed the `test_foreign_key` failure
2. If tests pass, verify no diagnostics issues on `scripts/ops/gen_dataflow_report.py`
3. Confirm all 96 tests pass (74 original + 10 diff sub-table + 8 guess purpose + 4 purpose column)
**FILEPATHS**: `scripts/ops/gen_dataflow_report.py`, `tests/test_dataflow_analyzer.py`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All prose/comments/docs in 简体中文; code identifiers stay English
- Scripts go in `scripts/ops/`; tests in root `tests/`
- This is NOT a high-risk path change (scripts/ops + tests), no `/audit` needed
- Markdown `<details>` tags used for nested object collapse
- ETL meta columns excluded from diff: `source_file`, `source_endpoint`, `fetched_at`, `payload`, `content_hash`
- Report generated by 2-phase process: Python script collects data → `gen_dataflow_report.py` assembles Markdown
- Anchors: `api-{table-name}`, `ods-{table-name}`, `dwd-{dwd-short-name}` (underscores → hyphens)
- Diff anchors: `diff-{table-name}` (underscores → hyphens)
- Shell working directory may drift — always use `Set-Location C:\Project\NeoZQYY` before running root-level commands
## Key Architecture Context:
- `dataflow_analyzer.py` — core collection module
- `gen_dataflow_report.py` — report generator reading collected JSON, outputting Markdown
- `_FIELD_GUESS_RULES` — ordered list of `(regex, purpose_text, confidence)` tuples; first match wins, so specific patterns must precede generic ones
- `_guess_field_purpose(field_name, table_name, layer)` → `(purpose, confidence)` using `_re.search`
## Files to read:
- `scripts/ops/gen_dataflow_report.py` — the main file being edited, verify the duplicate `_FIELD_GUESS_RULES` was properly removed (should only have ONE definition around line 63, and ONE `_guess_field_purpose` function)
- `tests/test_dataflow_analyzer.py` — test file with new test classes `TestGuessFieldPurpose`, `TestDiffSubTablePurposeColumn`, `TestFieldDiffSubTables`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 第1章节号整理一下。各字段差异明细，根据上下文和表格作用，猜测字段作用，并将置信度标出。
8. Output:
Hook execution failed with exit code 1.
Error output:
[AUDIT REMINDER] Pending audit detected (root-file, dir:admin-web, dir:backend, dir:etl, dir:miniprogram, dir:db, db-schema-change). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
Exit Code: 1
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
```

4
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@@ -18,7 +18,7 @@ The user requested a two-phase dataflow structure analysis for the feiqiu (飞
**Phase 2 - Report Generation**: Ran `gen_dataflow_report.py` to generate a comprehensive Markdown report with enhanced content (field diffs, coverage stats, business descriptions, sample values, cross-layer anchor links).
**Key challenge**: The shell's cwd was stuck at `C:\NeoZQYY\apps\etl\pipelines\feiqiu` and couldn't be changed (cd is forbidden). Both scripts require running from project root `C:\NeoZQYY` because they use relative paths for `.env` files and `TABLE_MAP` source parsing.
**Key challenge**: The shell's cwd was stuck at `C:\Project\NeoZQYY\apps\etl\pipelines\feiqiu` and couldn't be changed (cd is forbidden). Both scripts require running from project root `C:\Project\NeoZQYY` because they use relative paths for `.env` files and `TABLE_MAP` source parsing.
**Solution**: Created wrapper scripts (`scripts/ops/_run_dataflow.py` and `scripts/ops/_run_report.py`) that use `os.chdir(root)` to set the correct working directory before importing and calling the main functions.
@@ -45,7 +45,7 @@ The user requested a two-phase dataflow structure analysis for the feiqiu (飞
**DETAILS**: The workspace has an existing spec at `.kiro/specs/ods-dedup-standardize/` with tasks mostly completed (tasks 1-7 done, task 8 in-progress at subtasks 8.4-8.5, task 9 queued). This spec covers ODS dedup and soft-delete standardization. The dataflow analysis task was independent of this spec work.
**USER CORRECTIONS AND INSTRUCTIONS**:
- Shell cwd is `C:\NeoZQYY\apps\etl\pipelines\feiqiu` — cannot use `cd` command, must use absolute paths or wrapper scripts
- Shell cwd is `C:\Project\NeoZQYY\apps\etl\pipelines\feiqiu` — cannot use `cd` command, must use absolute paths or wrapper scripts
- Scripts that need project root context should use `os.chdir()` in a wrapper
- Follow `tech.md` script execution rules: prefer Python scripts over complex PowerShell
- All output in simplified Chinese per `language-zh.md`

2
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@@ -74,7 +74,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- 改动命中高风险路径（`config/`、`tasks/`），完成后需提醒用户运行 `/audit`
- 脚本执行优先用 Python 脚本，避免 PowerShell 复杂逻辑
- 单元测试命令: `cd apps/etl/pipelines/feiqiu && pytest tests/unit`
- 语法检查命令: `python -c "import ast; ast.parse(open(r'C:\NeoZQYY\...', encoding='utf-8').read()); print('OK')"`
- 语法检查命令: `python -c "import ast; ast.parse(open(r'C:\Project\NeoZQYY\...', encoding='utf-8').read()); print('OK')"`
- `test_gen_audit_dashboard.py::TestRealAuditFiles::test_parses_all_real_files` 是已有失败，与本次改动无关
## Files to read

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@@ -37,7 +37,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- 每层有彩色 Tag 标签（蓝色 ODS 抽取、绿色 DWD 装载、橙色 DWS 汇总、紫色 DWS 指数）
- `buildDomainGroups()` 函数按 `layer` 字段分组
- 域排序：助教→结算→台桌→会员→商品→团购→库存→财务→指数→通用→工具
- 文件通过 `mcp_filesystem_write_file` 写入 `C:\NeoZQYY\apps\admin-web\src\components\TaskSelector.tsx`
- 文件通过 `mcp_filesystem_write_file` 写入 `C:\Project\NeoZQYY\apps\admin-web\src\components\TaskSelector.tsx`
**B. 同步检查 UI** ✅ 已通过 Playwright 验证（显示绿色"已同步"按钮）：
- 工具栏右侧显示同步状态按钮

2
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@@ -94,7 +94,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- ETL 侧文件路径：`apps/etl/pipelines/feiqiu/`（不是 `apps/etl/connectors/feiqiu/`，后者是旧路径但 fileSearch 仍能找到）
## Files to read
- `apps/admin-web/src/components/TaskSelector.tsx`（用 Python 脚本读取：`pathlib.Path(r'C:\NeoZQYY\apps\admin-web\src\components\TaskSelector.tsx').read_text('utf-8')`）
- `apps/admin-web/src/components/TaskSelector.tsx`（用 Python 脚本读取：`pathlib.Path(r'C:\Project\NeoZQYY\apps\admin-web\src\components\TaskSelector.tsx').read_text('utf-8')`）
- `apps/admin-web/src/pages/TaskConfig.tsx`（同上方式读取）
- `apps/backend/app/services/task_registry.py`

8
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@@ -15,8 +15,8 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
The user requested running the full dataflow structure analysis pipeline for the feiqiu (飞球) connector. This involved two existing scripts that were already fully implemented.
**Phase 1 — Data Collection** (`analyze_dataflow.py`):
- Successfully ran `C:\ProgramData\miniconda3\python.exe C:\NeoZQYY\scripts\ops\analyze_dataflow.py`
- Had shell working directory issues (kept defaulting to `C:\NeoZQYY\apps\etl\connectors\feiqiu`), resolved by using absolute paths for both Python and script
- Successfully ran `C:\ProgramData\miniconda3\python.exe C:\Project\NeoZQYY\scripts\ops\analyze_dataflow.py`
- Had shell working directory issues (kept defaulting to `C:\Project\NeoZQYY\apps\etl\connectors\feiqiu`), resolved by using absolute paths for both Python and script
- Script performed 3 rounds of adaptive date expansion (30→60→90 days) for 11 tables with insufficient records
- Final date range: 2025-11-22 ~ 2026-02-20
- Results: 23 tables, all successful, 3395 total records
@@ -28,7 +28,7 @@ The user requested running the full dataflow structure analysis pipeline for the
- `collection_manifest.json` — with json_field_count, date_from, date_to
**Phase 2 — Report Generation** (`gen_dataflow_report.py`):
- Successfully ran `C:\ProgramData\miniconda3\python.exe C:\NeoZQYY\scripts\ops\gen_dataflow_report.py`
- Successfully ran `C:\ProgramData\miniconda3\python.exe C:\Project\NeoZQYY\scripts\ops\gen_dataflow_report.py`
- Output: `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_002258.md` (568.6 KB)
- Report confirmed to contain all required enhanced content:
- Report header with API date range and JSON data volume
@@ -61,7 +61,7 @@ The user requested running the full dataflow structure analysis pipeline for the
- Python 3.10+, uv workspace, PostgreSQL (4 databases: etl_feiqiu, test_etl_feiqiu, zqyy_app, test_zqyy_app)
- All output paths via `.env` environment variables → `export/` directory tree
- Scripts in `scripts/ops/` use `_env_paths.get_output_path()` for path resolution
- Shell quirk: PowerShell working directory often stuck at `C:\NeoZQYY\apps\etl\connectors\feiqiu`; use absolute paths for Python executable and script paths
- Shell quirk: PowerShell working directory often stuck at `C:\Project\NeoZQYY\apps\etl\connectors\feiqiu`; use absolute paths for Python executable and script paths
**Existing specs**: `.kiro/specs/dataflow-structure-audit/` has completed requirements.md, design.md, tasks.md (all tasks marked done)

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@@ -85,7 +85,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- Tests: `pytest tests/ -v` from root for property tests; `cd apps/etl/connectors/feiqiu && pytest tests/unit` for unit tests
- This is "Run All Tasks" mode — orchestrator delegates to subagents, does not write code itself
- Tasks must be executed sequentially, one at a time
- When running property tests from root, may need `--override-ini="rootdir=C:\NeoZQYY"` due to ETL subdirectory pytest.ini
- When running property tests from root, may need `--override-ini="rootdir=C:\Project\NeoZQYY"` due to ETL subdirectory pytest.ini
## Files to read

2
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@@ -81,7 +81,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- Tests: `pytest tests/ -v` from root for property tests; `cd apps/etl/connectors/feiqiu && pytest tests/unit` for unit tests
- This is "Run All Tasks" mode — orchestrator delegates to subagents, does not write code itself
- Tasks must be executed sequentially, one at a time
- When running property tests from root, may need `--override-ini="rootdir=C:\NeoZQYY"` due to ETL subdirectory pytest.ini
- When running property tests from root, may need `--override-ini="rootdir=C:\Project\NeoZQYY"` due to ETL subdirectory pytest.ini
## Files to read

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@@ -1,148 +1,148 @@
- [P20260220-071336] 2026-02-20 07:13:36 +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**: in-progress
**USER QUERIES**: User requested "Run all tasks for this spec" referring to `.kiro/specs/dataflow-field-completion/tasks.md`. Later user pointed out that Tasks 10-13 were not truly complete because timer and consistency checker were never integrated into the actual ETL execution flow, so no timing report or blackbox test report documents were produced.
**DETAILS**: This is a "Run All Tasks" orchestration for the dataflow-field-completion spec. The spec covers: field completion for 11 ODS/DWD tables, DWS inventory summary tables, documentation refinement, admin-web frontend/backend integration, blackbox testing, and end-to-end validation.
### Completed Tasks (all marked `[x]` in tasks.md):
- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, settlement_ticket_details removal, DWS inventory summary (daily/weekly/monthly), documentation refinement — all done in prior sessions
- Task 10.1: Backend ETL execution API — fixed (removed ODS_SETTLEMENT_TICKET, added inventory table definitions)
- Task 10.2: Frontend TaskManager page — fixed (WebSocket real-time log stream, history log viewing)
- Task 10.3: ETL execution timer module — `utils/timer.py` created with `EtlTimer` class, 20 unit tests passing
- Task 10.4: Property 7 PBT (timer completeness) — 5 tests × 100 iterations, all passing
- Task 10.5: Property 5 PBT (ETL param parsing) — 8 tests × 100 iterations, all passing
- Task 11.1: Data consistency checker — `quality/consistency_checker.py` created, 37 unit tests passing
- Task 11.2: Property 6 PBT (consistency check) — 8 tests × 100 iterations, all passing
### What's NOT actually done (user's complaint):
- Task 12.1 and 12.2 were marked complete but **no actual ETL execution was performed** and **no output documents were generated**:
- No `etl_timing_*.md` report exists (timer not integrated into orchestration layer)
- No `consistency_report_*.md` report exists (checker not integrated into ETL flow)
- The timer module (`utils/timer.py`) and consistency checker (`quality/consistency_checker.py`) exist as standalone modules but are NOT wired into the actual ETL execution pipeline
### Current work in progress:
The user explicitly asked to "执行完 10-13" (finish executing tasks 10-13). The remaining work is:
1. **Integrate `EtlTimer` into `orchestration/flow_runner.py`** — The `FlowRunner.run()` method needs to create an `EtlTimer`, call `start_step()`/`stop_step()` around each task execution, and call `timer.finish(write_report=True)` at the end to produce the timing report to `ETL_REPORT_ROOT`
2. **Integrate `ConsistencyChecker` into the ETL flow** — After all ETL tasks complete, run `run_consistency_check()` and `write_consistency_report()` to produce the blackbox test report
3. **Actually execute an ETL run** (or at minimum a dry-run) to produce the output documents
4. **Re-verify Task 12.1 and 12.2** with actual output documents
I had just read the `flow_runner.py` code signatures when context ran out:
- `FlowRunner` class with methods: `__init__`, `run`, `_resolve_tasks`, `_run_verification`
- The `run()` method at line 52 is the main entry point that needs timer integration
**NEXT STEPS**:
1. Read `flow_runner.py` fully (especially `FlowRunner.run()` method) to understand the task execution loop
2. Read `task_executor.py` to understand how individual tasks are executed
3. Integrate `EtlTimer` into `FlowRunner.run()`:
- Import `from utils.timer import EtlTimer`
- Create timer at start of `run()`
- Wrap each task execution with `start_step()`/`stop_step()`
- Call `timer.finish(write_report=True)` at end
4. Integrate consistency checker into `FlowRunner.run()` or as a post-run hook:
- Import from `quality.consistency_checker`
- After all tasks complete, run `run_consistency_check()` with db connection
- Call `write_consistency_report()` to output to `ETL_REPORT_ROOT`
5. Execute ETL via CLI: `cd apps/etl/connectors/feiqiu && python -m cli.main --dry-run --tasks DWD_LOAD_FROM_ODS` (or similar) to verify documents are produced
6. Update tasks.md status for 12.1, 12.2, 13 once documents exist
**KEY FILES**:
- `.kiro/specs/dataflow-field-completion/tasks.md` — task list
- `.kiro/specs/dataflow-field-completion/requirements.md` — requirements
- `.kiro/specs/dataflow-field-completion/design.md` — design
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` — **MUST MODIFY** (integrate timer + checker)
- `apps/etl/connectors/feiqiu/orchestration/task_executor.py` — may need to read for context
- `apps/etl/connectors/feiqiu/utils/timer.py` — timer module (already complete)
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py` — checker module (already complete)
- `apps/etl/connectors/feiqiu/cli/main.py` — CLI entry point
- `apps/backend/app/services/task_registry.py` — backend task registry (already updated)
- `apps/admin-web/src/pages/TaskManager.tsx` — frontend (already updated)
**TEST RESULTS** (from last run):
- ETL unit tests: 731 passed, 6 failed (pre-existing failures: `test_cli_args` force_full attribute, `test_cli_param_in_docs` --force-full, `test_index_tasks` integration config)
- Monorepo property tests: 171 passed, 2 skipped, 0 failed (all Property 1-8 passing)
- Consistency checker unit tests: 37 passed
**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 (`orchestration/`, `utils/`, `quality/`, `tasks/`, `db/`) require `/audit` trigger
- Timer report output path: `ETL_REPORT_ROOT` environment variable
- Consistency report output path: `ETL_REPORT_ROOT` environment variable
- API sample cache for checker: `API_SAMPLE_CACHE_ROOT` environment variable
- Property-based tests use `hypothesis` library; run with `warning: "LongRunningPBT"`
- ETL unit tests: `cd apps/etl/connectors/feiqiu && pytest tests/unit`
- Property tests: `cd C:\NeoZQYY && pytest tests/ -v`
- There are 2-3 pre-existing test failures (`test_cli_args`, `test_cli_param_in_docs` related to `--force-full`) unrelated to this spec
- Python scripts preferred over PowerShell for complex operations
- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
## Files to read
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
- `apps/etl/connectors/feiqiu/orchestration/task_executor.py`
- `apps/etl/connectors/feiqiu/utils/timer.py`
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
- `apps/etl/connectors/feiqiu/cli/main.py`
- `.kiro/specs/dataflow-field-completion/tasks.md`
- `.kiro/specs/dataflow-field-completion/design.md`
USER QUERIES(most recent first):
1. 这么说的话，10-13没执行完啊。为我执行完。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 这么说的话，10-13没执行完啊。为我执行完。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 前后端联调 结果文档 和 计时分析文档在哪？
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. <implicit-rules>## Implicit Rules
Focus on creating a new spec file or identifying an existing spec to update.
If starting a new spec, create a requirements.md file in the .kiro/specs directory with clear user stories and acceptance criteria.
If working with an existing spec, review the current requirements and suggest improvements if needed.
Do not make direct code changes yet. First establish or review the spec file that will guide our implementation.</implicit-rules>
---
METADATA:
The previous conversation had 6 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.
- [P20260220-071336] 2026-02-20 07:13:36 +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**: in-progress
**USER QUERIES**: User requested "Run all tasks for this spec" referring to `.kiro/specs/dataflow-field-completion/tasks.md`. Later user pointed out that Tasks 10-13 were not truly complete because timer and consistency checker were never integrated into the actual ETL execution flow, so no timing report or blackbox test report documents were produced.
**DETAILS**: This is a "Run All Tasks" orchestration for the dataflow-field-completion spec. The spec covers: field completion for 11 ODS/DWD tables, DWS inventory summary tables, documentation refinement, admin-web frontend/backend integration, blackbox testing, and end-to-end validation.
### Completed Tasks (all marked `[x]` in tasks.md):
- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, settlement_ticket_details removal, DWS inventory summary (daily/weekly/monthly), documentation refinement — all done in prior sessions
- Task 10.1: Backend ETL execution API — fixed (removed ODS_SETTLEMENT_TICKET, added inventory table definitions)
- Task 10.2: Frontend TaskManager page — fixed (WebSocket real-time log stream, history log viewing)
- Task 10.3: ETL execution timer module — `utils/timer.py` created with `EtlTimer` class, 20 unit tests passing
- Task 10.4: Property 7 PBT (timer completeness) — 5 tests × 100 iterations, all passing
- Task 10.5: Property 5 PBT (ETL param parsing) — 8 tests × 100 iterations, all passing
- Task 11.1: Data consistency checker — `quality/consistency_checker.py` created, 37 unit tests passing
- Task 11.2: Property 6 PBT (consistency check) — 8 tests × 100 iterations, all passing
### What's NOT actually done (user's complaint):
- Task 12.1 and 12.2 were marked complete but **no actual ETL execution was performed** and **no output documents were generated**:
- No `etl_timing_*.md` report exists (timer not integrated into orchestration layer)
- No `consistency_report_*.md` report exists (checker not integrated into ETL flow)
- The timer module (`utils/timer.py`) and consistency checker (`quality/consistency_checker.py`) exist as standalone modules but are NOT wired into the actual ETL execution pipeline
### Current work in progress:
The user explicitly asked to "执行完 10-13" (finish executing tasks 10-13). The remaining work is:
1. **Integrate `EtlTimer` into `orchestration/flow_runner.py`** — The `FlowRunner.run()` method needs to create an `EtlTimer`, call `start_step()`/`stop_step()` around each task execution, and call `timer.finish(write_report=True)` at the end to produce the timing report to `ETL_REPORT_ROOT`
2. **Integrate `ConsistencyChecker` into the ETL flow** — After all ETL tasks complete, run `run_consistency_check()` and `write_consistency_report()` to produce the blackbox test report
3. **Actually execute an ETL run** (or at minimum a dry-run) to produce the output documents
4. **Re-verify Task 12.1 and 12.2** with actual output documents
I had just read the `flow_runner.py` code signatures when context ran out:
- `FlowRunner` class with methods: `__init__`, `run`, `_resolve_tasks`, `_run_verification`
- The `run()` method at line 52 is the main entry point that needs timer integration
**NEXT STEPS**:
1. Read `flow_runner.py` fully (especially `FlowRunner.run()` method) to understand the task execution loop
2. Read `task_executor.py` to understand how individual tasks are executed
3. Integrate `EtlTimer` into `FlowRunner.run()`:
- Import `from utils.timer import EtlTimer`
- Create timer at start of `run()`
- Wrap each task execution with `start_step()`/`stop_step()`
- Call `timer.finish(write_report=True)` at end
4. Integrate consistency checker into `FlowRunner.run()` or as a post-run hook:
- Import from `quality.consistency_checker`
- After all tasks complete, run `run_consistency_check()` with db connection
- Call `write_consistency_report()` to output to `ETL_REPORT_ROOT`
5. Execute ETL via CLI: `cd apps/etl/connectors/feiqiu && python -m cli.main --dry-run --tasks DWD_LOAD_FROM_ODS` (or similar) to verify documents are produced
6. Update tasks.md status for 12.1, 12.2, 13 once documents exist
**KEY FILES**:
- `.kiro/specs/dataflow-field-completion/tasks.md` — task list
- `.kiro/specs/dataflow-field-completion/requirements.md` — requirements
- `.kiro/specs/dataflow-field-completion/design.md` — design
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` — **MUST MODIFY** (integrate timer + checker)
- `apps/etl/connectors/feiqiu/orchestration/task_executor.py` — may need to read for context
- `apps/etl/connectors/feiqiu/utils/timer.py` — timer module (already complete)
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py` — checker module (already complete)
- `apps/etl/connectors/feiqiu/cli/main.py` — CLI entry point
- `apps/backend/app/services/task_registry.py` — backend task registry (already updated)
- `apps/admin-web/src/pages/TaskManager.tsx` — frontend (already updated)
**TEST RESULTS** (from last run):
- ETL unit tests: 731 passed, 6 failed (pre-existing failures: `test_cli_args` force_full attribute, `test_cli_param_in_docs` --force-full, `test_index_tasks` integration config)
- Monorepo property tests: 171 passed, 2 skipped, 0 failed (all Property 1-8 passing)
- Consistency checker unit tests: 37 passed
**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 (`orchestration/`, `utils/`, `quality/`, `tasks/`, `db/`) require `/audit` trigger
- Timer report output path: `ETL_REPORT_ROOT` environment variable
- Consistency report output path: `ETL_REPORT_ROOT` environment variable
- API sample cache for checker: `API_SAMPLE_CACHE_ROOT` environment variable
- Property-based tests use `hypothesis` library; run with `warning: "LongRunningPBT"`
- ETL unit tests: `cd apps/etl/connectors/feiqiu && pytest tests/unit`
- Property tests: `cd C:\Project\NeoZQYY && pytest tests/ -v`
- There are 2-3 pre-existing test failures (`test_cli_args`, `test_cli_param_in_docs` related to `--force-full`) unrelated to this spec
- Python scripts preferred over PowerShell for complex operations
- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
## Files to read
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
- `apps/etl/connectors/feiqiu/orchestration/task_executor.py`
- `apps/etl/connectors/feiqiu/utils/timer.py`
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py`
- `apps/etl/connectors/feiqiu/cli/main.py`
- `.kiro/specs/dataflow-field-completion/tasks.md`
- `.kiro/specs/dataflow-field-completion/design.md`
USER QUERIES(most recent first):
1. 这么说的话，10-13没执行完啊。为我执行完。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 这么说的话，10-13没执行完啊。为我执行完。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 前后端联调 结果文档 和 计时分析文档在哪？
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. <implicit-rules>## Implicit Rules
Focus on creating a new spec file or identifying an existing spec to update.
If starting a new spec, create a requirements.md file in the .kiro/specs directory with clear user stories and acceptance criteria.
If working with an existing spec, review the current requirements and suggest improvements if needed.
Do not make direct code changes yet. First establish or review the spec file that will guide our implementation.</implicit-rules>
---
METADATA:
The previous conversation had 6 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
```

304
docs/audit/prompt_logs/prompt_log_20260220_072749.md
View File

@@ -1,152 +1,152 @@
- [P20260220-072749] 2026-02-20 07:27:49 +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**: in-progress
**USER QUERIES**: User requested "Run all tasks for this spec" referring to `.kiro/specs/dataflow-field-completion/tasks.md`. User pointed out Tasks 10-13 were not truly complete. Most recently user said "前后端联调没做啊" (front-end/back-end integration testing wasn't done).
**DETAILS**: This is 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.
### Completed work (Tasks 1-11):
- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, settlement_ticket_details removal, DWS inventory summary (daily/weekly/monthly), documentation refinement — all done in prior sessions
- Task 10.1: Backend ETL execution API — fixed (removed ODS_SETTLEMENT_TICKET, added inventory table definitions)
- Task 10.2: Frontend TaskManager page — fixed (WebSocket real-time log stream, history log viewing)
- Task 10.3: ETL execution timer module — `utils/timer.py` created with `EtlTimer` class, 20 unit tests passing
- Task 10.4: Property 7 PBT (timer completeness) — 5 tests × 100 iterations, all passing
- Task 10.5: Property 5 PBT (ETL param parsing) — 8 tests × 100 iterations, all passing
- Task 11.1: Data consistency checker — `quality/consistency_checker.py` created, 37 unit tests passing
- Task 11.2: Property 6 PBT (consistency check) — 8 tests × 100 iterations, all passing
### Work done in this session:
- Integrated `EtlTimer` into `orchestration/flow_runner.py` `FlowRunner.run()`:
- Added `timer = EtlTimer(tz=self.tz)` + `timer.start()` at beginning
- Wrapped `verify_only` fetch branch with `timer.start_step("FETCH_BEFORE_VERIFY")` / `timer.stop_step()`
- Wrapped increment ETL branch with `timer.start_step("INCREMENT_ETL")` / `timer.stop_step()`
- Wrapped increment_verify verification with `timer.start_step("VERIFICATION")` / `timer.stop_step()`
- Added `timer.finish(write_report=True)` before return
- Integrated `ConsistencyChecker` into `FlowRunner.run()`:
- Added new method `_run_post_consistency_check(self, timer)` that imports from `quality.consistency_checker`, runs `run_consistency_check()` and `write_consistency_report()`
- Called after all ETL tasks complete, before timer.finish()
- Uses `API_SAMPLE_CACHE_ROOT` and `ETL_REPORT_ROOT` env vars
- Created `scripts/ops/run_post_etl_reports.py` — standalone verification script
- Successfully generated both reports:
- `export/ETL-Connectors/feiqiu/REPORTS/etl_timing_20260220_072133.md` (605 bytes)
- `export/ETL-Connectors/feiqiu/REPORTS/consistency_report_20260220_072152.md` (14914 bytes, API vs ODS: 22/22 passed, ODS vs DWD: 38/42 passed)
- Updated `tasks.md` Task 12 descriptions with actual implementation details
- All tests passing: ETL unit 731 passed (6 pre-existing failures), Property tests 171 passed, 2 skipped
### What's NOT done (user's complaint — "前后端联调没做啊"):
The user is saying the actual front-end/back-end integration test was never performed. Specifically:
1. **Never actually launched the Admin Web frontend** and triggered an ETL execution through the UI
2. **Never verified the full chain**: Frontend form → Backend API → ETL CLI subprocess → Timer report + Consistency report
3. The TaskManager.tsx page exists but was never tested in a browser against the running backend
4. Need to verify: Backend ETL execution router correctly builds CLI command, subprocess execution works, WebSocket log streaming works, execution history shows results
### What needs to happen for true front-end/back-end integration:
1. Start the backend server: `cd apps/backend && uvicorn app.main:app --reload`
2. Start the admin-web dev server: `cd apps/admin-web && pnpm dev`
3. Open the TaskManager page in browser
4. Configure and trigger an ETL execution with specific parameters
5. Verify real-time log streaming via WebSocket
6. Verify execution history shows completed run
7. Verify timing report and consistency report were generated
**However**, this requires running two long-lived dev servers simultaneously, which the agent cannot do directly. The agent should:
- Review the backend ETL execution router to ensure it correctly builds CLI commands
- Review the frontend API calls to ensure they match backend endpoints
- Potentially write an integration test script that calls the backend API directly (without the frontend)
- Or start servers via `controlPwshProcess` and use Playwright to test
**NEXT STEPS**:
1. Read the backend ETL execution router (likely in `apps/backend/app/routers/`) to understand the execution API
2. Read the frontend API client (`apps/admin-web/src/api/execution.ts`) to verify endpoint alignment
3. Read the ScheduleTab component to understand the ETL trigger UI
4. Either:
a. Start backend + frontend servers and use Playwright for browser-based testing, OR
b. Write a Python script that directly calls the backend execution API to verify the chain works
5. Verify the full chain produces timing + consistency reports
6. Document the integration test results
**KEY FILES**:
- `.kiro/specs/dataflow-field-completion/tasks.md` — task list (already updated)
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` — **MODIFIED** (timer + checker integrated)
- `apps/etl/connectors/feiqiu/utils/timer.py` — timer module
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py` — checker module
- `apps/backend/app/services/task_registry.py` — backend task registry (already read, looks good)
- `apps/admin-web/src/pages/TaskManager.tsx` — frontend (already read, has queue/schedule/history tabs)
- `apps/admin-web/src/api/execution.ts` — frontend API calls (need to read)
- `apps/admin-web/src/components/ScheduleTab.tsx` — schedule/trigger UI (need to read)
- `apps/backend/app/routers/` — backend routers (need to read, find ETL execution endpoint)
- `scripts/ops/run_post_etl_reports.py` — standalone report generation script
**TEST RESULTS** (from last run):
- ETL unit tests: 731 passed, 6 failed (pre-existing: `test_cli_args` force_full attribute × 3, `test_cli_param_in_docs` --force-full, `test_index_tasks` × 2)
- Monorepo property tests: 171 passed, 2 skipped, 0 failed
- Consistency checker unit tests: 37 passed
**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 (`orchestration/`, `utils/`, `quality/`, `tasks/`, `db/`) require `/audit` trigger
- Timer report output path: `ETL_REPORT_ROOT` environment variable
- Consistency report output path: `ETL_REPORT_ROOT` environment variable
- API sample cache for checker: `API_SAMPLE_CACHE_ROOT` environment variable
- Property-based tests use `hypothesis` library; run with `warning: "LongRunningPBT"`
- 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
- Python scripts preferred over PowerShell for complex operations
- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
- User explicitly said "前后端联调没做啊" — the actual browser-based or API-based integration test between admin-web frontend and backend has NOT been performed yet. This is the critical remaining work.
## Files to read
- `apps/backend/app/routers/` (directory — find ETL execution router)
- `apps/admin-web/src/api/execution.ts`
- `apps/admin-web/src/components/ScheduleTab.tsx`
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
- `apps/admin-web/src/pages/TaskManager.tsx`
- `.kiro/specs/dataflow-field-completion/tasks.md`
- `.kiro/specs/dataflow-field-completion/design.md`
USER QUERIES(most recent first):
1. 前后端联调没做啊
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 前后端联调没做啊
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 4 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
- [P20260220-072749] 2026-02-20 07:27:49 +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**: in-progress
**USER QUERIES**: User requested "Run all tasks for this spec" referring to `.kiro/specs/dataflow-field-completion/tasks.md`. User pointed out Tasks 10-13 were not truly complete. Most recently user said "前后端联调没做啊" (front-end/back-end integration testing wasn't done).
**DETAILS**: This is 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.
### Completed work (Tasks 1-11):
- Tasks 1-9: Field audit, mapping fixes, A/B/C class tables, checkpoints, settlement_ticket_details removal, DWS inventory summary (daily/weekly/monthly), documentation refinement — all done in prior sessions
- Task 10.1: Backend ETL execution API — fixed (removed ODS_SETTLEMENT_TICKET, added inventory table definitions)
- Task 10.2: Frontend TaskManager page — fixed (WebSocket real-time log stream, history log viewing)
- Task 10.3: ETL execution timer module — `utils/timer.py` created with `EtlTimer` class, 20 unit tests passing
- Task 10.4: Property 7 PBT (timer completeness) — 5 tests × 100 iterations, all passing
- Task 10.5: Property 5 PBT (ETL param parsing) — 8 tests × 100 iterations, all passing
- Task 11.1: Data consistency checker — `quality/consistency_checker.py` created, 37 unit tests passing
- Task 11.2: Property 6 PBT (consistency check) — 8 tests × 100 iterations, all passing
### Work done in this session:
- Integrated `EtlTimer` into `orchestration/flow_runner.py` `FlowRunner.run()`:
- Added `timer = EtlTimer(tz=self.tz)` + `timer.start()` at beginning
- Wrapped `verify_only` fetch branch with `timer.start_step("FETCH_BEFORE_VERIFY")` / `timer.stop_step()`
- Wrapped increment ETL branch with `timer.start_step("INCREMENT_ETL")` / `timer.stop_step()`
- Wrapped increment_verify verification with `timer.start_step("VERIFICATION")` / `timer.stop_step()`
- Added `timer.finish(write_report=True)` before return
- Integrated `ConsistencyChecker` into `FlowRunner.run()`:
- Added new method `_run_post_consistency_check(self, timer)` that imports from `quality.consistency_checker`, runs `run_consistency_check()` and `write_consistency_report()`
- Called after all ETL tasks complete, before timer.finish()
- Uses `API_SAMPLE_CACHE_ROOT` and `ETL_REPORT_ROOT` env vars
- Created `scripts/ops/run_post_etl_reports.py` — standalone verification script
- Successfully generated both reports:
- `export/ETL-Connectors/feiqiu/REPORTS/etl_timing_20260220_072133.md` (605 bytes)
- `export/ETL-Connectors/feiqiu/REPORTS/consistency_report_20260220_072152.md` (14914 bytes, API vs ODS: 22/22 passed, ODS vs DWD: 38/42 passed)
- Updated `tasks.md` Task 12 descriptions with actual implementation details
- All tests passing: ETL unit 731 passed (6 pre-existing failures), Property tests 171 passed, 2 skipped
### What's NOT done (user's complaint — "前后端联调没做啊"):
The user is saying the actual front-end/back-end integration test was never performed. Specifically:
1. **Never actually launched the Admin Web frontend** and triggered an ETL execution through the UI
2. **Never verified the full chain**: Frontend form → Backend API → ETL CLI subprocess → Timer report + Consistency report
3. The TaskManager.tsx page exists but was never tested in a browser against the running backend
4. Need to verify: Backend ETL execution router correctly builds CLI command, subprocess execution works, WebSocket log streaming works, execution history shows results
### What needs to happen for true front-end/back-end integration:
1. Start the backend server: `cd apps/backend && uvicorn app.main:app --reload`
2. Start the admin-web dev server: `cd apps/admin-web && pnpm dev`
3. Open the TaskManager page in browser
4. Configure and trigger an ETL execution with specific parameters
5. Verify real-time log streaming via WebSocket
6. Verify execution history shows completed run
7. Verify timing report and consistency report were generated
**However**, this requires running two long-lived dev servers simultaneously, which the agent cannot do directly. The agent should:
- Review the backend ETL execution router to ensure it correctly builds CLI commands
- Review the frontend API calls to ensure they match backend endpoints
- Potentially write an integration test script that calls the backend API directly (without the frontend)
- Or start servers via `controlPwshProcess` and use Playwright to test
**NEXT STEPS**:
1. Read the backend ETL execution router (likely in `apps/backend/app/routers/`) to understand the execution API
2. Read the frontend API client (`apps/admin-web/src/api/execution.ts`) to verify endpoint alignment
3. Read the ScheduleTab component to understand the ETL trigger UI
4. Either:
a. Start backend + frontend servers and use Playwright for browser-based testing, OR
b. Write a Python script that directly calls the backend execution API to verify the chain works
5. Verify the full chain produces timing + consistency reports
6. Document the integration test results
**KEY FILES**:
- `.kiro/specs/dataflow-field-completion/tasks.md` — task list (already updated)
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py` — **MODIFIED** (timer + checker integrated)
- `apps/etl/connectors/feiqiu/utils/timer.py` — timer module
- `apps/etl/connectors/feiqiu/quality/consistency_checker.py` — checker module
- `apps/backend/app/services/task_registry.py` — backend task registry (already read, looks good)
- `apps/admin-web/src/pages/TaskManager.tsx` — frontend (already read, has queue/schedule/history tabs)
- `apps/admin-web/src/api/execution.ts` — frontend API calls (need to read)
- `apps/admin-web/src/components/ScheduleTab.tsx` — schedule/trigger UI (need to read)
- `apps/backend/app/routers/` — backend routers (need to read, find ETL execution endpoint)
- `scripts/ops/run_post_etl_reports.py` — standalone report generation script
**TEST RESULTS** (from last run):
- ETL unit tests: 731 passed, 6 failed (pre-existing: `test_cli_args` force_full attribute × 3, `test_cli_param_in_docs` --force-full, `test_index_tasks` × 2)
- Monorepo property tests: 171 passed, 2 skipped, 0 failed
- Consistency checker unit tests: 37 passed
**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 (`orchestration/`, `utils/`, `quality/`, `tasks/`, `db/`) require `/audit` trigger
- Timer report output path: `ETL_REPORT_ROOT` environment variable
- Consistency report output path: `ETL_REPORT_ROOT` environment variable
- API sample cache for checker: `API_SAMPLE_CACHE_ROOT` environment variable
- Property-based tests use `hypothesis` library; run with `warning: "LongRunningPBT"`
- ETL unit tests: `cd apps/etl/connectors/feiqiu && pytest tests/unit`
- Property tests: `cd C:\Project\NeoZQYY && pytest tests/ -v`
- There are 6 pre-existing test failures unrelated to this spec
- Python scripts preferred over PowerShell for complex operations
- Audit reminder is pending for: root-file, dir:admin-web, dir:backend, dir:db, db-schema-change
- User explicitly said "前后端联调没做啊" — the actual browser-based or API-based integration test between admin-web frontend and backend has NOT been performed yet. This is the critical remaining work.
## Files to read
- `apps/backend/app/routers/` (directory — find ETL execution router)
- `apps/admin-web/src/api/execution.ts`
- `apps/admin-web/src/components/ScheduleTab.tsx`
- `apps/etl/connectors/feiqiu/orchestration/flow_runner.py`
- `apps/admin-web/src/pages/TaskManager.tsx`
- `.kiro/specs/dataflow-field-completion/tasks.md`
- `.kiro/specs/dataflow-field-completion/design.md`
USER QUERIES(most recent first):
1. 前后端联调没做啊
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 前后端联调没做啊
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 4 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
```

420
docs/audit/prompt_logs/prompt_log_20260220_074542.md
View File

@@ -1,210 +1,210 @@
- [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
- [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:\Project\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
```

8
docs/audit/prompt_logs/prompt_log_20260220_232517.md
View File

@@ -14,14 +14,14 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
**DETAILS**:
Two spurious `Asia/Shanghai/ODS_JSON_ARCHIVE/` directory trees were found:
1. `C:\NeoZQYY\Asia\Shanghai\ODS_JSON_ARCHIVE\` — 2 empty run dirs (created 2026-02-20 9:59)
2. `C:\NeoZQYY\apps\etl\connectors\feiqiu\Asia\Shanghai\ODS_JSON_ARCHIVE\` — 38 empty run dirs (created from 2026-02-19 23:29)
1. `C:\Project\NeoZQYY\Asia\Shanghai\ODS_JSON_ARCHIVE\` — 2 empty run dirs (created 2026-02-20 9:59)
2. `C:\Project\NeoZQYY\apps\etl\connectors\feiqiu\Asia\Shanghai\ODS_JSON_ARCHIVE\` — 38 empty run dirs (created from 2026-02-19 23:29)
Both contain only empty subdirectories (no actual JSON files). The directory structure `Asia/Shanghai/ODS_JSON_ARCHIVE/ODS_JSON_ARCHIVE-{timestamp}` matches what `_build_fetch_dir` would produce if `self.fetch_root` resolved to `"Asia/Shanghai"` (i.e., `str(ZoneInfo("Asia/Shanghai"))`).
**Root cause analysis performed (not yet concluded)**:
- `.env` files (both root and `feiqiu/.env`) currently have correct `FETCH_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON`
- `.env` files (both root and `feiqiu/.env`) currently have correct `FETCH_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON`
- `AppConfig.load()` currently returns correct `io.fetch_root` value — verified via Python one-liner
- `task_executor.py` line 63-68: `self.fetch_root` reads from `config.get("io.fetch_root") or config.get("pipeline.fetch_root") or config["io"]["export_root"]`
- `_build_fetch_dir` returns `Path(self.fetch_root) / task_code / f"{task_code}-{run_id}-{ts}"`
@@ -31,7 +31,7 @@ Both contain only empty subdirectories (no actual JSON files). The directory str
- Both `Asia/` dirs are NOT in git, NOT in `.gitignore`
- `feiqiu/.env` was last modified 2026-02-20 0:10, but `feiqiu/Asia` was created 2026-02-19 23:29 (BEFORE the .env edit)
- `feiqiu/.env` was created 2026-02-19 16:47
- The git-committed version of `feiqiu/.env` had `FETCH_ROOT=C:/NeoZQYY/export/ETL/JSON` (old path)
- The git-committed version of `feiqiu/.env` had `FETCH_ROOT=C:/Project/NeoZQYY/export/ETL/JSON` (old path)
- Backend subprocess passes `os.environ.copy()` to ETL CLI child process, with `cwd=ETL_PROJECT_PATH` (feiqiu dir)
- `env_parser._load_dotenv_values` reads from `Path(__file__).resolve().parents[1] / ".env"` (i.e., `feiqiu/.env`)

2
docs/audit/prompt_logs/prompt_log_20260221_122109.md
View File

@@ -47,7 +47,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- Testing environment rules apply: must load `.env` properly, never skip config
- Output paths must come from `.env` environment variables (export-paths.md steering)
- Script execution convention: run Python scripts via `uv run python` or `python`
- The workspace root is `C:\NeoZQYY` on Windows with cmd shell
- The workspace root is `C:\Project\NeoZQYY` on Windows with cmd shell
- Four database connections available via MCP: `mcp_pg_etl` (production), `mcp_pg_etl_test` (test), `mcp_pg_app`, `mcp_pg_app_test`
- store_id: `2790685415443269`

2
docs/audit/prompt_logs/prompt_log_20260221_123335.md
View File

@@ -32,7 +32,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
- Four DB instances: `etl_feiqiu`, `test_etl_feiqiu`, `zqyy_app`, `test_zqyy_app`
- Environment variables control all output paths (see `export-paths.md` steering)
- Output paths come from `.env` - key vars: `SYSTEM_ANALYZE_ROOT`, `FULL_DATAFLOW_DOC_ROOT`
- Scripts must be run with `uv run python` or `python` from project root `C:\NeoZQYY`
- Scripts must be run with `uv run python` or `python` from project root `C:\Project\NeoZQYY`
- OS is Windows with cmd shell
- Whitelist rules (v4): ETL meta cols, SCD2 cols, siteProfile nested fields - still checked but folded in report
- Only analyzing feiqiu connector currently

298
docs/audit/prompt_logs/prompt_log_20260221_125433.md
View File

@@ -1,149 +1,149 @@
- [P20260221-125433] 2026-02-21 12:54:33 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Execute D…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Execute Data Flow Structure Analysis (数据流结构分析)
**STATUS**: done
**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
**DETAILS**:
- Phase 1 (数据采集): Ran `python scripts/ops/analyze_dataflow.py` from project root (`C:\NeoZQYY`). Successfully collected data for 22 ODS tables, 3388 total records, date range 2025-11-23 ~ 2026-02-21 (auto-expanded to 90 days).
- Phase 2 (报告生成): Ran `python scripts/ops/gen_dataflow_report.py`. Generated 511.1 KB Markdown report with all required enhanced content (API date range, JSON field counts, field diff with whitelist folding, business descriptions, anchor links, sample values).
- Output: `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_124205.md`
- Manifest: `export/SYSTEM/REPORTS/dataflow_analysis/collection_manifest.json` with 42 DWD→ODS mappings
- Key stats: 1067 API JSON fields, 937 ODS columns, 906 DWD columns, 20/22 tables have DWD targets (goods_stock_summary and goods_stock_movements have no DWD)
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_124205.md`, `export/SYSTEM/REPORTS/dataflow_analysis/collection_manifest.json`
---
## TASK 2: Post-execution Review — Database Used & Lessons Learned
**STATUS**: done
**USER QUERIES**: 2 ("本次使用的数据库是哪个?", "本次遇到的问题和坑有哪些?可以加入到HOOKS里，之后避免么？")
**DETAILS**:
- Database used: `etl_feiqiu` (正式库) via `PG_DSN` — should have used `test_etl_feiqiu` per `testing-env.md`
- Problems identified:
1. `cwd` issue: Running from `scripts/ops/` caused `load_dotenv(Path(".env"))` to fail (relative path), making `API_BASE` empty → all API requests failed with "No scheme supplied"
2. `TABLE_MAP` relative path: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` not found when cwd wasn't project root → DWD mappings all empty
3. PowerShell command queuing: `Remove-Item` commands queued behind long-running analyze script, then executed after completion and deleted fresh results
- Initially created a `preToolUse` hook (`ops-script-cwd-check`) but user correctly pointed out it's better to fix the script directly
**FILEPATHS**: `.kiro/hooks/ops-script-cwd-check.kiro.hook` (deleted)
---
## TASK 3: Fix analyze_dataflow.py — Use Test DB & Fix .env Loading
**STATUS**: in-progress
**USER QUERIES**: 3 ("修改：Data Flow Structure Analysis使用env的规则，使用测试库"), 4 ("继续"), 5 ("继续")
**DETAILS**:
- Deleted the unnecessary hook file `.kiro/hooks/ops-script-cwd-check.kiro.hook` ✅
- Modified `scripts/ops/analyze_dataflow.py` `main()` function with ONE `strReplace` call ✅:
- Removed the two relative-path `load_dotenv()` calls (`Path(".env")` and `Path("apps/etl/connectors/feiqiu/.env")`)
- Removed `from dotenv import load_dotenv` import in `main()`
- Added comment explaining `_env_paths` handles `.env` loading via absolute path
- Changed `pg_dsn` to prioritize `TEST_DB_DSN` over `PG_DSN` (was: `DATABASE_URL` or `PG_DSN`)
- Added `RuntimeError` if neither DSN is defined
- Added `CHANGE 2026-02-21` annotation
- Moved `output_dir = resolve_output_dir()` earlier to trigger `_env_paths` import before env var reads
- The `strReplace` was confirmed successful
**NEXT STEPS**:
- Verify the edited file has no syntax/diagnostic issues with `getDiagnostics`
- Check if `TEST_DB_DSN` is defined in `.env` and `.env.template` — if not, add it
- Check if `gen_dataflow_report.py` has the same relative-path `.env` loading issue and fix if needed
- Check if `dataflow_analyzer.py` has any relative-path issues (it uses `TABLE_MAP` path relative to cwd)
- Consider whether the `unused import` of `Path` should be cleaned up (it's still used in `resolve_output_dir` return type but `from pathlib import Path` is at module top level, the removed code was the only place using `Path(".env")` directly in `main()`)
- Run the updated script to verify it works correctly
- This is a high-risk path change (`scripts/ops/` modifying env loading logic) — governance says audit may be needed but user hasn't requested it
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/dataflow_analyzer.py`, `scripts/ops/gen_dataflow_report.py`, `scripts/ops/_env_paths.py`, `.env`, `.env.template`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All responses must be in simplified Chinese (简体中文) per `language-zh.md`
- Must use `.env` for all output paths — never hardcode (per `export-paths.md`)
- Testing/scripts must load `.env` properly via `_env_paths` absolute path mechanism (per `testing-env.md`)
- Database connections for analysis/testing should use test DB (`TEST_DB_DSN` → `test_etl_feiqiu`) not production
- Prefer fixing scripts directly over creating separate hooks for script-specific issues
- `scripts/ops/` scripts should work regardless of cwd — `_env_paths.py` uses `Path(__file__).resolve().parents[2]` for root `.env`
- Python scripts over PowerShell for complex operations (per `tech.md`)
- OS is Windows with cmd shell; project root is `C:\NeoZQYY`
- Audit reminder fired but user confirmed no audit needed for Task 1 (only ran existing scripts, no source code changes). Task 3 modifies `scripts/ops/analyze_dataflow.py` which may need audit per governance rules.
**Files to read**:
- `scripts/ops/analyze_dataflow.py`
- `scripts/ops/dataflow_analyzer.py`
- `scripts/ops/_env_paths.py`
- `.env.template`
- `scripts/ops/gen_dataflow_report.py`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 修改：Data Flow Structure Analysis使用env的规则，使用测试库。此外，有必要单独建立 运维脚本 cwd 检查 么？直接在Data Flow Structure Analysis里修改不可以么？
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. 几个问题：- 本次使用的数据库是哪个?- 本次遇到的问题和坑有哪些?可以加入到HOOKS里，之后避免么？
12. 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
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
- [P20260221-125433] 2026-02-21 12:54:33 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Execute D…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Execute Data Flow Structure Analysis (数据流结构分析)
**STATUS**: done
**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
**DETAILS**:
- Phase 1 (数据采集): Ran `python scripts/ops/analyze_dataflow.py` from project root (`C:\Project\NeoZQYY`). Successfully collected data for 22 ODS tables, 3388 total records, date range 2025-11-23 ~ 2026-02-21 (auto-expanded to 90 days).
- Phase 2 (报告生成): Ran `python scripts/ops/gen_dataflow_report.py`. Generated 511.1 KB Markdown report with all required enhanced content (API date range, JSON field counts, field diff with whitelist folding, business descriptions, anchor links, sample values).
- Output: `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_124205.md`
- Manifest: `export/SYSTEM/REPORTS/dataflow_analysis/collection_manifest.json` with 42 DWD→ODS mappings
- Key stats: 1067 API JSON fields, 937 ODS columns, 906 DWD columns, 20/22 tables have DWD targets (goods_stock_summary and goods_stock_movements have no DWD)
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_124205.md`, `export/SYSTEM/REPORTS/dataflow_analysis/collection_manifest.json`
---
## TASK 2: Post-execution Review — Database Used & Lessons Learned
**STATUS**: done
**USER QUERIES**: 2 ("本次使用的数据库是哪个?", "本次遇到的问题和坑有哪些?可以加入到HOOKS里，之后避免么？")
**DETAILS**:
- Database used: `etl_feiqiu` (正式库) via `PG_DSN` — should have used `test_etl_feiqiu` per `testing-env.md`
- Problems identified:
1. `cwd` issue: Running from `scripts/ops/` caused `load_dotenv(Path(".env"))` to fail (relative path), making `API_BASE` empty → all API requests failed with "No scheme supplied"
2. `TABLE_MAP` relative path: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` not found when cwd wasn't project root → DWD mappings all empty
3. PowerShell command queuing: `Remove-Item` commands queued behind long-running analyze script, then executed after completion and deleted fresh results
- Initially created a `preToolUse` hook (`ops-script-cwd-check`) but user correctly pointed out it's better to fix the script directly
**FILEPATHS**: `.kiro/hooks/ops-script-cwd-check.kiro.hook` (deleted)
---
## TASK 3: Fix analyze_dataflow.py — Use Test DB & Fix .env Loading
**STATUS**: in-progress
**USER QUERIES**: 3 ("修改：Data Flow Structure Analysis使用env的规则，使用测试库"), 4 ("继续"), 5 ("继续")
**DETAILS**:
- Deleted the unnecessary hook file `.kiro/hooks/ops-script-cwd-check.kiro.hook` ✅
- Modified `scripts/ops/analyze_dataflow.py` `main()` function with ONE `strReplace` call ✅:
- Removed the two relative-path `load_dotenv()` calls (`Path(".env")` and `Path("apps/etl/connectors/feiqiu/.env")`)
- Removed `from dotenv import load_dotenv` import in `main()`
- Added comment explaining `_env_paths` handles `.env` loading via absolute path
- Changed `pg_dsn` to prioritize `TEST_DB_DSN` over `PG_DSN` (was: `DATABASE_URL` or `PG_DSN`)
- Added `RuntimeError` if neither DSN is defined
- Added `CHANGE 2026-02-21` annotation
- Moved `output_dir = resolve_output_dir()` earlier to trigger `_env_paths` import before env var reads
- The `strReplace` was confirmed successful
**NEXT STEPS**:
- Verify the edited file has no syntax/diagnostic issues with `getDiagnostics`
- Check if `TEST_DB_DSN` is defined in `.env` and `.env.template` — if not, add it
- Check if `gen_dataflow_report.py` has the same relative-path `.env` loading issue and fix if needed
- Check if `dataflow_analyzer.py` has any relative-path issues (it uses `TABLE_MAP` path relative to cwd)
- Consider whether the `unused import` of `Path` should be cleaned up (it's still used in `resolve_output_dir` return type but `from pathlib import Path` is at module top level, the removed code was the only place using `Path(".env")` directly in `main()`)
- Run the updated script to verify it works correctly
- This is a high-risk path change (`scripts/ops/` modifying env loading logic) — governance says audit may be needed but user hasn't requested it
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/dataflow_analyzer.py`, `scripts/ops/gen_dataflow_report.py`, `scripts/ops/_env_paths.py`, `.env`, `.env.template`
---
## USER CORRECTIONS AND INSTRUCTIONS:
- All responses must be in simplified Chinese (简体中文) per `language-zh.md`
- Must use `.env` for all output paths — never hardcode (per `export-paths.md`)
- Testing/scripts must load `.env` properly via `_env_paths` absolute path mechanism (per `testing-env.md`)
- Database connections for analysis/testing should use test DB (`TEST_DB_DSN` → `test_etl_feiqiu`) not production
- Prefer fixing scripts directly over creating separate hooks for script-specific issues
- `scripts/ops/` scripts should work regardless of cwd — `_env_paths.py` uses `Path(__file__).resolve().parents[2]` for root `.env`
- Python scripts over PowerShell for complex operations (per `tech.md`)
- OS is Windows with cmd shell; project root is `C:\Project\NeoZQYY`
- Audit reminder fired but user confirmed no audit needed for Task 1 (only ran existing scripts, no source code changes). Task 3 modifies `scripts/ops/analyze_dataflow.py` which may need audit per governance rules.
**Files to read**:
- `scripts/ops/analyze_dataflow.py`
- `scripts/ops/dataflow_analyzer.py`
- `scripts/ops/_env_paths.py`
- `.env.template`
- `scripts/ops/gen_dataflow_report.py`
USER QUERIES(most recent first):
1. 继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 继续
5. Output:
Command executed successfully with no output.
Exit Code: 0
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. 修改：Data Flow Structure Analysis使用env的规则，使用测试库。此外，有必要单独建立 运维脚本 cwd 检查 么？直接在Data Flow Structure Analysis里修改不可以么？
8. Output:
Command executed successfully with no output.
Exit Code: 0
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. 几个问题：- 本次使用的数据库是哪个?- 本次遇到的问题和坑有哪些?可以加入到HOOKS里，之后避免么？
12. 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
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
```

444
docs/audit/prompt_logs/prompt_log_20260221_144505.md
View File

@@ -1,222 +1,222 @@
- [P20260221-144505] 2026-02-21 14:45:05 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 数据流结构分析（采…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 数据流结构分析（采集 + 报告生成）
**STATUS**: done
**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
**DETAILS**:
- 清空了 `SYSTEM_ANALYZE_ROOT` 下的历史数据
- 第一阶段：运行 `python scripts/ops/analyze_dataflow.py` 完成数据采集，22 张 ODS 表全部成功，日期范围 2025-11-23 ~ 2026-02-21，共 3388 条记录
- 中间产物已落盘：json_trees(22), db_schemas(62), field_mappings(22), bd_descriptions(22), collection_manifest.json
- 第二阶段：运行 `python scripts/ops/gen_dataflow_report.py` 生成报告 `dataflow_2026-02-21_142802.md`（517.6 KB, 4372 行）
- 报告包含所有要求的增强内容：总览表含 API JSON 字段数列、1.1 差异报告（白名单折叠）、2.3 覆盖率表含业务描述列、逐表详情含业务描述+多示例值+锚点链接
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_142802.md`
## TASK 2: 调查 4 个 ODS 字段是否在 DWD 中
**STATUS**: done
**USER QUERIES**: 2 ("这些字段真的不在DWD中吗"), 3 ("查下映射，临时的DDL，md文档，Prompt历史记录")
**DETAILS**:
- 用户质疑报告中 `system_role_id`, `job_num`, `cx_unit_price`, `pd_unit_price` 标记为"⚠️ 无 DWD 目标"
- 直接查数据库确认：`dwd.dim_assistant`(19列) 和 `dwd.dim_assistant_ex`(48列) 均不含这 4 个字段
- 但代码层面已做了映射准备：
- `dwd_load_task.py` 第 183-186 行已加入 FACT_MAPPINGS
- `export_dwd_field_review.py` 和 `gen_field_review_doc.py` 标记为"新增 DWD 列"
- `test_property_1_fact_mappings.py` 期望这 4 个字段映射到 dim_assistant_ex
- 结论：代码侧已更新，DDL 迁移脚本未执行到数据库
**FILEPATHS**: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`, `scripts/ops/export_dwd_field_review.py`
## TASK 3: 查找同批次所有未落地的字段变更
**STATUS**: done
**USER QUERIES**: 4 ("同批次修改，还有哪些字段被加入DWD ODS DWS")
**DETAILS**:
- 从 `export_dwd_field_review.py` 的 `NEW_FIELDS` 字典提取完整清单
- A 类（已有 DWD 表新增列）：23 个新增列，分布在 dim_assistant_ex(4), dwd_assistant_service_log_ex(2), dwd_assistant_trash_event_ex(1), dwd_member_balance_change_ex(1), dim_table_ex(14), dim_store_goods_ex(1)
- 仅补 FACT_MAPPINGS：dwd_recharge_order 的 5 个金额字段
- C 类新建表：dwd_goods_stock_summary(14列), dwd_goods_stock_movement(19列)
- 跳过的字段：4 个（列名冲突或 ODS 列不存在）
- 还有 DWS 层：dws_goods_stock_daily/weekly/monthly_summary 3 张新表
**FILEPATHS**: `scripts/ops/export_dwd_field_review.py`
## TASK 4: 执行迁移脚本落地到数据库 + 同步 DDL 文件
**STATUS**: in-progress
**USER QUERIES**: 5 ("迁移，落地，补充到DDL文件")
**DETAILS**:
- 发现 `db/etl_feiqiu/migrations/` 下已有 10 个 2026-02-20 日期的迁移脚本，全部已写好但未执行到数据库
- 已读取所有迁移脚本内容确认正确性
- 迁移脚本清单（均使用 `IF NOT EXISTS` / `IF EXISTS` 保证幂等）：
1. `2026-02-20__add_dim_assistant_ex_fields.sql` — dim_assistant_ex 加 4 列
2. `2026-02-20__add_assistant_service_log_ex_fields.sql` — dwd_assistant_service_log_ex 加 2 列
3. `2026-02-20__add_dim_table_ex_fields.sql` — dim_table_ex 加 14 列
4. `2026-02-20__add_member_balance_change_ex_relate_id.sql` — dwd_member_balance_change_ex 加 1 列
5. `2026-02-20__create_dwd_goods_stock_summary.sql` — 新建 dwd_goods_stock_summary
6. `2026-02-20__create_dwd_goods_stock_movement.sql` — 新建 dwd_goods_stock_movement
7. `2026-02-20__create_dws_goods_stock_summary.sql` — 新建 3 张 DWS 库存汇总表
8. `2026-02-20__fix_assistant_service_site_assistant_id.sql` — 修正 COMMENT
9. `2026-02-20__fix_store_goods_master_mapping.sql` — 修正 COMMENT
10. `2026-02-20__fix_store_goods_sale_discount_price.sql` — 重命名列 + 新增列
11. `2026-02-20__remove_settlement_ticket_details.sql` — 删除废弃表
- dim_store_goods_ex 的 `batch_stock_quantity` 列在 `NEW_FIELDS` 中定义但没有对应的迁移脚本，需要新建
- 尚未开始执行任何迁移
- db-docs.md steering 要求：迁移后必须同步更新 `docs/database/` 文档
**NEXT STEPS**:
1. 写一个 Python 脚本按顺序执行所有 2026-02-20 迁移到测试库（`TEST_DB_DSN`）
2. 为 `dim_store_goods_ex.batch_stock_quantity` 补写迁移脚本（在 `NEW_FIELDS` 中有但无对应 .sql）
3. 执行迁移并验证（每个脚本的验证 SQL 已内嵌在注释中）
4. 同步 DDL 文件：更新 `db/etl_feiqiu/schemas/dwd.sql` 和 `db/etl_feiqiu/schemas/schema_dwd_doc.sql`，加入新增的列和表定义
5. 同步 DWS DDL：更新 `db/etl_feiqiu/schemas/dws.sql` 或 `db/etl_feiqiu/schemas/schema_dws.sql`
6. 更新 `docs/database/` 文档（db-docs.md steering 要求）
**FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_assistant_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_service_log_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_table_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_member_balance_change_ex_relate_id.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_movement.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dws_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_assistant_service_site_assistant_id.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_master_mapping.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_sale_discount_price.sql`
- `db/etl_feiqiu/migrations/2026-02-20__remove_settlement_ticket_details.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`
- `db/etl_feiqiu/schemas/dws.sql`
- `db/etl_feiqiu/schemas/schema_dws.sql`
- `scripts/ops/export_dwd_field_review.py`
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有对话和文档使用简体中文
- 测试/验证必须使用测试库 `TEST_DB_DSN`（`test_etl_feiqiu`），不能用正式库
- 脚本执行 cwd 在项目根目录 `C:\NeoZQYY`
- 复杂操作写 Python 脚本执行，避免 PowerShell 多行字符串转义问题
- 输出路径必须从 `.env` 环境变量读取，禁止硬编码
- DB schema 变更后必须同步 `docs/database/` 文档（db-docs.md steering）
- 变更需审计（governance.md），但审计由用户手动触发 `/audit`
- MCP PostgreSQL 工具连接可能断开（之前遇到 "Not connected" 错误），需要用 psycopg2 直接连接作为备选
## Files to read
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_assistant_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_table_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_movement.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dws_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_sale_discount_price.sql`
- `db/etl_feiqiu/migrations/2026-02-20__remove_settlement_ticket_details.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`
- `scripts/ops/export_dwd_field_review.py`
- `.env`
USER QUERIES(most recent first):
1. 迁移，落地，补充到DDL文件。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 迁移，落地，补充到DDL文件。
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. 同批次修改，还有哪些字段被加入DWD ODS DWS?
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
12. 不用，查下映射，临时的DDL，md文档，Prompt历史记录也没有相关记录么？
13. 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
14. Output:
Command executed successfully with no output.
Exit Code: 0
15. Output:
Command executed successfully with no output.
Exit Code: 0
16. ODS→DWD 未映射 — 4 个#ODS 列说明状态1system_role_id标识类 ID 字段，用于关联/定位相关实体⚠️ 无 DWD 目标2job_num备用工号字段，目前未在该门店启用⚠️ 无 DWD 目标3cx_unit_price促销时段的单价，本门店未在账号表层面设置⚠️ 无 DWD 目标4pd_unit_price某种标准单价（例如“普通时段单价”），这里未在账号上配置（实际单价在助教商...⚠️ 无 DWD 目标这些字段真的不在DWD中吗？我记得有次更新加入DWD了啊！
17. <source-event>
The user manually invoked this action
The user is focued on the following file: apps/etl/connectors/feiqiu/.env
The user has the following paths open: apps/etl/connectors/feiqiu/.env
</source-event>
执行数据流结构分析，按以下步骤完成。若发现已完成或有历史任务痕迹则清空，重新执行：
第一阶段：数据采集
1. 运行 `python scripts/ops/analyze_dataflow.py` 完成数据采集（如需指定日期范围，加 --date-from / --date-to 参数）
2. 确认采集结果已落盘，包括：
- json_trees/（含 samples 多示例值）
- db_schemas/
- field_mappings/（三层映射 + 锚点）
- bd_descriptions/（BD_manual 业务描述）
- collection_manifest.json（含 json_field_count、date_from、date_to）
第二阶段：报告生成
3. 运行 `python scripts/ops/gen_dataflow_report.py` 生成 Markdown 报告
4. 报告包含以下增强内容：
- 报告头含 API 请求日期范围（date_from ~ date_to）和 JSON 数据总量
- 总览表含 API JSON 字段数列
- 1.1 API↔ODS↔DWD 字段对比差异报告（白名单字段折叠汇总，不展开详细表格行）
- 2.3 覆盖率表含业务描述列
- API 源字段表含业务描述列 + 多示例值（枚举值解释）
- ODS 表结构含业务描述列 + 上下游双向映射锚点链接
- DWD 表结构含业务描述列 + ODS 来源锚点链接
5. 输出文件路径和关键统计摘要
白名单规则（v4）：
- ETL 元数据列（source_file, source_endpoint, fetched_at, payload, content_hash）
- DWD 维表 SCD2 管理列（valid_from, valid_to, is_current, etl_loaded_at, etl_batch_id）
- API siteProfile 嵌套对象字段
- 白名单字段仍正常参与检查和统计，仅在报告中折叠显示并注明原因
注意：当前仅分析飞球（feiqiu）连接器。未来新增连接器时，应自动发现并纳入分析范围。
18. <implicit-rules>## Implicit Rules
Focus on creating a new spec file or identifying an existing spec to update.
If starting a new spec, create a requirements.md file in the .kiro/specs directory with clear user stories and acceptance criteria.
If working with an existing spec, review the current requirements and suggest improvements if needed.
Do not make direct code changes yet. First establish or review the spec file that will guide our implementation.</implicit-rules>
---
METADATA:
The previous conversation had 10 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
- [P20260221-144505] 2026-02-21 14:45:05 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 数据流结构分析（采…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 数据流结构分析（采集 + 报告生成）
**STATUS**: done
**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
**DETAILS**:
- 清空了 `SYSTEM_ANALYZE_ROOT` 下的历史数据
- 第一阶段：运行 `python scripts/ops/analyze_dataflow.py` 完成数据采集，22 张 ODS 表全部成功，日期范围 2025-11-23 ~ 2026-02-21，共 3388 条记录
- 中间产物已落盘：json_trees(22), db_schemas(62), field_mappings(22), bd_descriptions(22), collection_manifest.json
- 第二阶段：运行 `python scripts/ops/gen_dataflow_report.py` 生成报告 `dataflow_2026-02-21_142802.md`（517.6 KB, 4372 行）
- 报告包含所有要求的增强内容：总览表含 API JSON 字段数列、1.1 差异报告（白名单折叠）、2.3 覆盖率表含业务描述列、逐表详情含业务描述+多示例值+锚点链接
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_142802.md`
## TASK 2: 调查 4 个 ODS 字段是否在 DWD 中
**STATUS**: done
**USER QUERIES**: 2 ("这些字段真的不在DWD中吗"), 3 ("查下映射，临时的DDL，md文档，Prompt历史记录")
**DETAILS**:
- 用户质疑报告中 `system_role_id`, `job_num`, `cx_unit_price`, `pd_unit_price` 标记为"⚠️ 无 DWD 目标"
- 直接查数据库确认：`dwd.dim_assistant`(19列) 和 `dwd.dim_assistant_ex`(48列) 均不含这 4 个字段
- 但代码层面已做了映射准备：
- `dwd_load_task.py` 第 183-186 行已加入 FACT_MAPPINGS
- `export_dwd_field_review.py` 和 `gen_field_review_doc.py` 标记为"新增 DWD 列"
- `test_property_1_fact_mappings.py` 期望这 4 个字段映射到 dim_assistant_ex
- 结论：代码侧已更新，DDL 迁移脚本未执行到数据库
**FILEPATHS**: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`, `scripts/ops/export_dwd_field_review.py`
## TASK 3: 查找同批次所有未落地的字段变更
**STATUS**: done
**USER QUERIES**: 4 ("同批次修改，还有哪些字段被加入DWD ODS DWS")
**DETAILS**:
- 从 `export_dwd_field_review.py` 的 `NEW_FIELDS` 字典提取完整清单
- A 类（已有 DWD 表新增列）：23 个新增列，分布在 dim_assistant_ex(4), dwd_assistant_service_log_ex(2), dwd_assistant_trash_event_ex(1), dwd_member_balance_change_ex(1), dim_table_ex(14), dim_store_goods_ex(1)
- 仅补 FACT_MAPPINGS：dwd_recharge_order 的 5 个金额字段
- C 类新建表：dwd_goods_stock_summary(14列), dwd_goods_stock_movement(19列)
- 跳过的字段：4 个（列名冲突或 ODS 列不存在）
- 还有 DWS 层：dws_goods_stock_daily/weekly/monthly_summary 3 张新表
**FILEPATHS**: `scripts/ops/export_dwd_field_review.py`
## TASK 4: 执行迁移脚本落地到数据库 + 同步 DDL 文件
**STATUS**: in-progress
**USER QUERIES**: 5 ("迁移，落地，补充到DDL文件")
**DETAILS**:
- 发现 `db/etl_feiqiu/migrations/` 下已有 10 个 2026-02-20 日期的迁移脚本，全部已写好但未执行到数据库
- 已读取所有迁移脚本内容确认正确性
- 迁移脚本清单（均使用 `IF NOT EXISTS` / `IF EXISTS` 保证幂等）：
1. `2026-02-20__add_dim_assistant_ex_fields.sql` — dim_assistant_ex 加 4 列
2. `2026-02-20__add_assistant_service_log_ex_fields.sql` — dwd_assistant_service_log_ex 加 2 列
3. `2026-02-20__add_dim_table_ex_fields.sql` — dim_table_ex 加 14 列
4. `2026-02-20__add_member_balance_change_ex_relate_id.sql` — dwd_member_balance_change_ex 加 1 列
5. `2026-02-20__create_dwd_goods_stock_summary.sql` — 新建 dwd_goods_stock_summary
6. `2026-02-20__create_dwd_goods_stock_movement.sql` — 新建 dwd_goods_stock_movement
7. `2026-02-20__create_dws_goods_stock_summary.sql` — 新建 3 张 DWS 库存汇总表
8. `2026-02-20__fix_assistant_service_site_assistant_id.sql` — 修正 COMMENT
9. `2026-02-20__fix_store_goods_master_mapping.sql` — 修正 COMMENT
10. `2026-02-20__fix_store_goods_sale_discount_price.sql` — 重命名列 + 新增列
11. `2026-02-20__remove_settlement_ticket_details.sql` — 删除废弃表
- dim_store_goods_ex 的 `batch_stock_quantity` 列在 `NEW_FIELDS` 中定义但没有对应的迁移脚本，需要新建
- 尚未开始执行任何迁移
- db-docs.md steering 要求：迁移后必须同步更新 `docs/database/` 文档
**NEXT STEPS**:
1. 写一个 Python 脚本按顺序执行所有 2026-02-20 迁移到测试库（`TEST_DB_DSN`）
2. 为 `dim_store_goods_ex.batch_stock_quantity` 补写迁移脚本（在 `NEW_FIELDS` 中有但无对应 .sql）
3. 执行迁移并验证（每个脚本的验证 SQL 已内嵌在注释中）
4. 同步 DDL 文件：更新 `db/etl_feiqiu/schemas/dwd.sql` 和 `db/etl_feiqiu/schemas/schema_dwd_doc.sql`，加入新增的列和表定义
5. 同步 DWS DDL：更新 `db/etl_feiqiu/schemas/dws.sql` 或 `db/etl_feiqiu/schemas/schema_dws.sql`
6. 更新 `docs/database/` 文档（db-docs.md steering 要求）
**FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_assistant_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_service_log_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_table_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_member_balance_change_ex_relate_id.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_movement.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dws_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_assistant_service_site_assistant_id.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_master_mapping.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_sale_discount_price.sql`
- `db/etl_feiqiu/migrations/2026-02-20__remove_settlement_ticket_details.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`
- `db/etl_feiqiu/schemas/dws.sql`
- `db/etl_feiqiu/schemas/schema_dws.sql`
- `scripts/ops/export_dwd_field_review.py`
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有对话和文档使用简体中文
- 测试/验证必须使用测试库 `TEST_DB_DSN`（`test_etl_feiqiu`），不能用正式库
- 脚本执行 cwd 在项目根目录 `C:\Project\NeoZQYY`
- 复杂操作写 Python 脚本执行，避免 PowerShell 多行字符串转义问题
- 输出路径必须从 `.env` 环境变量读取，禁止硬编码
- DB schema 变更后必须同步 `docs/database/` 文档（db-docs.md steering）
- 变更需审计（governance.md），但审计由用户手动触发 `/audit`
- MCP PostgreSQL 工具连接可能断开（之前遇到 "Not connected" 错误），需要用 psycopg2 直接连接作为备选
## Files to read
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_assistant_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__add_dim_table_ex_fields.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dwd_goods_stock_movement.sql`
- `db/etl_feiqiu/migrations/2026-02-20__create_dws_goods_stock_summary.sql`
- `db/etl_feiqiu/migrations/2026-02-20__fix_store_goods_sale_discount_price.sql`
- `db/etl_feiqiu/migrations/2026-02-20__remove_settlement_ticket_details.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`
- `scripts/ops/export_dwd_field_review.py`
- `.env`
USER QUERIES(most recent first):
1. 迁移，落地，补充到DDL文件。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 迁移，落地，补充到DDL文件。
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. 同批次修改，还有哪些字段被加入DWD ODS DWS?
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
12. 不用，查下映射，临时的DDL，md文档，Prompt历史记录也没有相关记录么？
13. 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
14. Output:
Command executed successfully with no output.
Exit Code: 0
15. Output:
Command executed successfully with no output.
Exit Code: 0
16. ODS→DWD 未映射 — 4 个#ODS 列说明状态1system_role_id标识类 ID 字段，用于关联/定位相关实体⚠️ 无 DWD 目标2job_num备用工号字段，目前未在该门店启用⚠️ 无 DWD 目标3cx_unit_price促销时段的单价，本门店未在账号表层面设置⚠️ 无 DWD 目标4pd_unit_price某种标准单价（例如“普通时段单价”），这里未在账号上配置（实际单价在助教商...⚠️ 无 DWD 目标这些字段真的不在DWD中吗？我记得有次更新加入DWD了啊！
17. <source-event>
The user manually invoked this action
The user is focued on the following file: apps/etl/connectors/feiqiu/.env
The user has the following paths open: apps/etl/connectors/feiqiu/.env
</source-event>
执行数据流结构分析，按以下步骤完成。若发现已完成或有历史任务痕迹则清空，重新执行：
第一阶段：数据采集
1. 运行 `python scripts/ops/analyze_dataflow.py` 完成数据采集（如需指定日期范围，加 --date-from / --date-to 参数）
2. 确认采集结果已落盘，包括：
- json_trees/（含 samples 多示例值）
- db_schemas/
- field_mappings/（三层映射 + 锚点）
- bd_descriptions/（BD_manual 业务描述）
- collection_manifest.json（含 json_field_count、date_from、date_to）
第二阶段：报告生成
3. 运行 `python scripts/ops/gen_dataflow_report.py` 生成 Markdown 报告
4. 报告包含以下增强内容：
- 报告头含 API 请求日期范围（date_from ~ date_to）和 JSON 数据总量
- 总览表含 API JSON 字段数列
- 1.1 API↔ODS↔DWD 字段对比差异报告（白名单字段折叠汇总，不展开详细表格行）
- 2.3 覆盖率表含业务描述列
- API 源字段表含业务描述列 + 多示例值（枚举值解释）
- ODS 表结构含业务描述列 + 上下游双向映射锚点链接
- DWD 表结构含业务描述列 + ODS 来源锚点链接
5. 输出文件路径和关键统计摘要
白名单规则（v4）：
- ETL 元数据列（source_file, source_endpoint, fetched_at, payload, content_hash）
- DWD 维表 SCD2 管理列（valid_from, valid_to, is_current, etl_loaded_at, etl_batch_id）
- API siteProfile 嵌套对象字段
- 白名单字段仍正常参与检查和统计，仅在报告中折叠显示并注明原因
注意：当前仅分析飞球（feiqiu）连接器。未来新增连接器时，应自动发现并纳入分析范围。
18. <implicit-rules>## Implicit Rules
Focus on creating a new spec file or identifying an existing spec to update.
If starting a new spec, create a requirements.md file in the .kiro/specs directory with clear user stories and acceptance criteria.
If working with an existing spec, review the current requirements and suggest improvements if needed.
Do not make direct code changes yet. First establish or review the spec file that will guide our implementation.</implicit-rules>
---
METADATA:
The previous conversation had 10 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
```

2
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@@ -82,7 +82,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有对话和文档使用简体中文
- 测试/验证必须使用测试库 `TEST_DB_DSN`（`test_etl_feiqiu`），不能用正式库
- 脚本执行 cwd 在项目根目录 `C:\NeoZQYY`
- 脚本执行 cwd 在项目根目录 `C:\Project\NeoZQYY`
- 复杂操作写 Python 脚本执行，避免 PowerShell 多行字符串转义问题
- 输出路径必须从 `.env` 环境变量读取，禁止硬编码
- DB schema 变更后必须同步 `docs/database/` 文档（db-docs.md steering）

278
docs/audit/prompt_logs/prompt_log_20260221_150308.md
View File

@@ -1,139 +1,139 @@
- [P20260221-150308] 2026-02-21 15:03:08 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 数据流结构分析（采…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 数据流结构分析（采集 + 报告生成）
- **STATUS**: done
- **USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
- **DETAILS**: 清空历史数据，运行 `analyze_dataflow.py` 完成数据采集（22 张 ODS 表），然后运行 `gen_dataflow_report.py` 生成报告（517.6 KB, 4372 行）
- **FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_142802.md`
## TASK 2: 调查 4 个 ODS 字段是否在 DWD 中
- **STATUS**: done
- **USER QUERIES**: 2, 3
- **DETAILS**: `system_role_id`, `job_num`, `cx_unit_price`, `pd_unit_price` 在数据库中确实不存在于 DWD 表，但代码层面已做了映射准备。结论：代码侧已更新，DDL 迁移脚本未执行到数据库。
- **FILEPATHS**: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`, `scripts/ops/export_dwd_field_review.py`
## TASK 3: 查找同批次所有未落地的字段变更
- **STATUS**: done
- **USER QUERIES**: 4
- **DETAILS**: 从 `export_dwd_field_review.py` 的 `NEW_FIELDS` 字典提取完整清单：A 类 23 个新增列，仅补 FACT_MAPPINGS（dwd_recharge_order 5 个金额字段），C 类新建表（dwd_goods_stock_summary/movement），DWS 层 3 张新表
- **FILEPATHS**: `scripts/ops/export_dwd_field_review.py`
## TASK 4: 执行迁移脚本落地到数据库 + 同步 DDL 文件 + 文档
- **STATUS**: done
- **USER QUERIES**: 5
- **DETAILS**:
- 12 个 2026-02-20 迁移脚本全部成功执行到测试库 `test_etl_feiqiu`
- DDL 文件同步完成：
- `dwd.sql`: `dim_store_goods_ex` +1 列（batch_stock_quantity）+ COMMENT
- `schema_dwd_doc.sql`: 补充了 5 处缺失：`dwd_assistant_service_log_ex` +2 列（operator_id, operator_name）+ COMMENT、`dwd_member_balance_change_ex` +1 列（relate_id）+ COMMENT、`dim_store_goods_ex` +1 列（batch_stock_quantity）+ COMMENT、`dwd_store_goods_sale` +1 列（discount_money）+ 修正 discount_price COMMENT
- `docs/database/etl_feiqiu_schema_migration.md` 追加了迁移 14（batch_stock_quantity）和 DDL 同步记录
- **FILEPATHS**: `db/etl_feiqiu/schemas/dwd.sql`, `db/etl_feiqiu/schemas/schema_dwd_doc.sql`, `db/etl_feiqiu/schemas/dws.sql`, `db/etl_feiqiu/schemas/schema_dws.sql`, `docs/database/etl_feiqiu_schema_migration.md`
## TASK 5: 确认并增补 dwd_assistant_trash_event_ex.assistant_no_int 字段
- **STATUS**: in-progress
- **USER QUERIES**: 6 ("dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补")
- **DETAILS**:
- **调查结论**：确认需要增补。原因：
- API JSON `assistantOn` 值为数字字符串（"6", "15", "4" 等），是助教的数字编号/工号序号
- ODS 列 `assistanton` 类型是 `integer`
- 主表 `dwd_assistant_trash_event.assistant_no` 类型是 `VARCHAR(32)`，当前 FACT_MAPPINGS 已正确映射自 `assistanton`
- `assistant_no_int` 设计意图：在 _ex 表中提供 INTEGER 类型副本，便于数值比较和关联
- 数据库确认：`dwd_assistant_trash_event_ex` 当前只有 3 列（assistant_trash_event_id, table_name, table_area_name），无 assistant_no_int
- **已完成**：
- ✅ 创建了迁移脚本 `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`（含 ALTER TABLE + COMMENT）
- **未完成**：
- ❌ 迁移脚本未执行到测试库
- ❌ FACT_MAPPINGS 未更新（需在 `dwd_load_task.py` 的 `dwd.dwd_assistant_trash_event_ex` 映射中添加 `("assistant_no_int", "assistanton", None)`）
- ❌ DDL 文件未更新（`dwd.sql` 和 `schema_dwd_doc.sql` 中 `dwd_assistant_trash_event_ex` 表需加 `assistant_no_int INTEGER` 列 + COMMENT）
- ❌ `docs/database/etl_feiqiu_schema_migration.md` 未更新（需追加迁移 15 记录，并移除"未同步项"中的 assistant_no_int 条目）
- **NEXT STEPS**:
1. 执行迁移脚本到测试库：写 Python 脚本用 `TEST_DB_DSN` 连接执行 `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`
2. 更新 FACT_MAPPINGS：在 `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` 中 `"dwd.dwd_assistant_trash_event_ex"` 映射列表添加 `("assistant_no_int", "assistanton", None)`
3. 更新 `db/etl_feiqiu/schemas/dwd.sql`：在 `dwd_assistant_trash_event_ex` 的 CREATE TABLE 中 `table_area_name` 后添加 `assistant_no_int INTEGER`，并添加 COMMENT（schema 名 `dwd`）
4. 更新 `db/etl_feiqiu/schemas/schema_dwd_doc.sql`：同上但 schema 名 `billiards_dwd`
5. 更新 `docs/database/etl_feiqiu_schema_migration.md`：追加迁移 15 记录（变更说明、兼容性、回滚策略、验证 SQL），并将"未同步项"表格中 `assistant_no_int` 条目移除或标记为已完成
6. 验证数据库中列已创建
- **FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`（已创建）
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`（需修改，约第 363-367 行附近 `dwd.dwd_assistant_trash_event_ex` 映射）
- `db/etl_feiqiu/schemas/dwd.sql`（需修改，第 1606-1612 行 `dwd_assistant_trash_event_ex` 表定义）
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`（需修改，第 1584-1590 行 `dwd_assistant_trash_event_ex` 表定义）
- `docs/database/etl_feiqiu_schema_migration.md`（需追加迁移 15 + 更新未同步项）
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有对话和文档使用简体中文
- 测试/验证必须使用测试库 `TEST_DB_DSN`（`test_etl_feiqiu`），不能用正式库
- 脚本执行 cwd 在项目根目录 `C:\NeoZQYY`
- 复杂操作写 Python 脚本执行，避免 PowerShell 多行字符串转义问题
- 输出路径必须从 `.env` 环境变量读取，禁止硬编码
- DB schema 变更后必须同步 `docs/database/` 文档（db-docs.md steering）
- 变更需审计（governance.md），但审计由用户手动触发 `/audit`
- MCP PostgreSQL 工具连接可能断开（多次遇到 "Not connected" 错误），需要用 psycopg2 直接连接作为备选
- `dwd.sql` 使用 schema 名 `dwd`，`schema_dwd_doc.sql` 使用 schema 名 `billiards_dwd`
- `dws.sql` 使用 schema 名 `dws`，`schema_dws.sql` 使用 schema 名 `billiards_dws`
- DDL 文件很大（dwd.sql 2200+ 行，schema_dwd_doc.sql 也类似），修改时需要精确定位
- FACT_MAPPINGS 中 `dwd.dwd_assistant_trash_event_ex` 当前只有 `("assistant_trash_event_id", "id", None)` 和两个 table_name/table_area_name 映射（在 dwd_load_task.py 约第 370+ 行）
- 主表 `dwd.dwd_assistant_trash_event` 的 `assistant_no` 映射是 `("assistant_no", "assistanton", None)`（第 364 行），_ex 表的 `assistant_no_int` 也映射自同一 ODS 列 `assistanton`
## Files to read
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`（重点看第 360-380 行附近 `dwd_assistant_trash_event` 和 `dwd_assistant_trash_event_ex` 的 FACT_MAPPINGS）
- `db/etl_feiqiu/schemas/dwd.sql`（第 1606-1620 行 `dwd_assistant_trash_event_ex` 表定义）
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`（第 1584-1596 行 `dwd_assistant_trash_event_ex` 表定义）
- `docs/database/etl_feiqiu_schema_migration.md`（末尾"未同步项"部分，约第 1285-1290 行）
USER QUERIES(most recent first):
1. dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补，和之前需求一样，对数据上下游处理过程也要增补，对文档和DDL进行更新。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补，和之前需求一样，对数据上下游处理过程也要增补，对文档和DDL进行更新。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 继续
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
- [P20260221-150308] 2026-02-21 15:03:08 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 数据流结构分析（采…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 数据流结构分析（采集 + 报告生成）
- **STATUS**: done
- **USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
- **DETAILS**: 清空历史数据，运行 `analyze_dataflow.py` 完成数据采集（22 张 ODS 表），然后运行 `gen_dataflow_report.py` 生成报告（517.6 KB, 4372 行）
- **FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`, `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-21_142802.md`
## TASK 2: 调查 4 个 ODS 字段是否在 DWD 中
- **STATUS**: done
- **USER QUERIES**: 2, 3
- **DETAILS**: `system_role_id`, `job_num`, `cx_unit_price`, `pd_unit_price` 在数据库中确实不存在于 DWD 表，但代码层面已做了映射准备。结论：代码侧已更新，DDL 迁移脚本未执行到数据库。
- **FILEPATHS**: `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`, `scripts/ops/export_dwd_field_review.py`
## TASK 3: 查找同批次所有未落地的字段变更
- **STATUS**: done
- **USER QUERIES**: 4
- **DETAILS**: 从 `export_dwd_field_review.py` 的 `NEW_FIELDS` 字典提取完整清单：A 类 23 个新增列，仅补 FACT_MAPPINGS（dwd_recharge_order 5 个金额字段），C 类新建表（dwd_goods_stock_summary/movement），DWS 层 3 张新表
- **FILEPATHS**: `scripts/ops/export_dwd_field_review.py`
## TASK 4: 执行迁移脚本落地到数据库 + 同步 DDL 文件 + 文档
- **STATUS**: done
- **USER QUERIES**: 5
- **DETAILS**:
- 12 个 2026-02-20 迁移脚本全部成功执行到测试库 `test_etl_feiqiu`
- DDL 文件同步完成：
- `dwd.sql`: `dim_store_goods_ex` +1 列（batch_stock_quantity）+ COMMENT
- `schema_dwd_doc.sql`: 补充了 5 处缺失：`dwd_assistant_service_log_ex` +2 列（operator_id, operator_name）+ COMMENT、`dwd_member_balance_change_ex` +1 列（relate_id）+ COMMENT、`dim_store_goods_ex` +1 列（batch_stock_quantity）+ COMMENT、`dwd_store_goods_sale` +1 列（discount_money）+ 修正 discount_price COMMENT
- `docs/database/etl_feiqiu_schema_migration.md` 追加了迁移 14（batch_stock_quantity）和 DDL 同步记录
- **FILEPATHS**: `db/etl_feiqiu/schemas/dwd.sql`, `db/etl_feiqiu/schemas/schema_dwd_doc.sql`, `db/etl_feiqiu/schemas/dws.sql`, `db/etl_feiqiu/schemas/schema_dws.sql`, `docs/database/etl_feiqiu_schema_migration.md`
## TASK 5: 确认并增补 dwd_assistant_trash_event_ex.assistant_no_int 字段
- **STATUS**: in-progress
- **USER QUERIES**: 6 ("dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补")
- **DETAILS**:
- **调查结论**：确认需要增补。原因：
- API JSON `assistantOn` 值为数字字符串（"6", "15", "4" 等），是助教的数字编号/工号序号
- ODS 列 `assistanton` 类型是 `integer`
- 主表 `dwd_assistant_trash_event.assistant_no` 类型是 `VARCHAR(32)`，当前 FACT_MAPPINGS 已正确映射自 `assistanton`
- `assistant_no_int` 设计意图：在 _ex 表中提供 INTEGER 类型副本，便于数值比较和关联
- 数据库确认：`dwd_assistant_trash_event_ex` 当前只有 3 列（assistant_trash_event_id, table_name, table_area_name），无 assistant_no_int
- **已完成**：
- ✅ 创建了迁移脚本 `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`（含 ALTER TABLE + COMMENT）
- **未完成**：
- ❌ 迁移脚本未执行到测试库
- ❌ FACT_MAPPINGS 未更新（需在 `dwd_load_task.py` 的 `dwd.dwd_assistant_trash_event_ex` 映射中添加 `("assistant_no_int", "assistanton", None)`）
- ❌ DDL 文件未更新（`dwd.sql` 和 `schema_dwd_doc.sql` 中 `dwd_assistant_trash_event_ex` 表需加 `assistant_no_int INTEGER` 列 + COMMENT）
- ❌ `docs/database/etl_feiqiu_schema_migration.md` 未更新（需追加迁移 15 记录，并移除"未同步项"中的 assistant_no_int 条目）
- **NEXT STEPS**:
1. 执行迁移脚本到测试库：写 Python 脚本用 `TEST_DB_DSN` 连接执行 `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`
2. 更新 FACT_MAPPINGS：在 `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` 中 `"dwd.dwd_assistant_trash_event_ex"` 映射列表添加 `("assistant_no_int", "assistanton", None)`
3. 更新 `db/etl_feiqiu/schemas/dwd.sql`：在 `dwd_assistant_trash_event_ex` 的 CREATE TABLE 中 `table_area_name` 后添加 `assistant_no_int INTEGER`，并添加 COMMENT（schema 名 `dwd`）
4. 更新 `db/etl_feiqiu/schemas/schema_dwd_doc.sql`：同上但 schema 名 `billiards_dwd`
5. 更新 `docs/database/etl_feiqiu_schema_migration.md`：追加迁移 15 记录（变更说明、兼容性、回滚策略、验证 SQL），并将"未同步项"表格中 `assistant_no_int` 条目移除或标记为已完成
6. 验证数据库中列已创建
- **FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`（已创建）
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`（需修改，约第 363-367 行附近 `dwd.dwd_assistant_trash_event_ex` 映射）
- `db/etl_feiqiu/schemas/dwd.sql`（需修改，第 1606-1612 行 `dwd_assistant_trash_event_ex` 表定义）
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`（需修改，第 1584-1590 行 `dwd_assistant_trash_event_ex` 表定义）
- `docs/database/etl_feiqiu_schema_migration.md`（需追加迁移 15 + 更新未同步项）
## USER CORRECTIONS AND INSTRUCTIONS:
- 所有对话和文档使用简体中文
- 测试/验证必须使用测试库 `TEST_DB_DSN`（`test_etl_feiqiu`），不能用正式库
- 脚本执行 cwd 在项目根目录 `C:\Project\NeoZQYY`
- 复杂操作写 Python 脚本执行，避免 PowerShell 多行字符串转义问题
- 输出路径必须从 `.env` 环境变量读取，禁止硬编码
- DB schema 变更后必须同步 `docs/database/` 文档（db-docs.md steering）
- 变更需审计（governance.md），但审计由用户手动触发 `/audit`
- MCP PostgreSQL 工具连接可能断开（多次遇到 "Not connected" 错误），需要用 psycopg2 直接连接作为备选
- `dwd.sql` 使用 schema 名 `dwd`，`schema_dwd_doc.sql` 使用 schema 名 `billiards_dwd`
- `dws.sql` 使用 schema 名 `dws`，`schema_dws.sql` 使用 schema 名 `billiards_dws`
- DDL 文件很大（dwd.sql 2200+ 行，schema_dwd_doc.sql 也类似），修改时需要精确定位
- FACT_MAPPINGS 中 `dwd.dwd_assistant_trash_event_ex` 当前只有 `("assistant_trash_event_id", "id", None)` 和两个 table_name/table_area_name 映射（在 dwd_load_task.py 约第 370+ 行）
- 主表 `dwd.dwd_assistant_trash_event` 的 `assistant_no` 映射是 `("assistant_no", "assistanton", None)`（第 364 行），_ex 表的 `assistant_no_int` 也映射自同一 ODS 列 `assistanton`
## Files to read
- `db/etl_feiqiu/migrations/2026-02-20__add_assistant_trash_event_ex_assistant_no_int.sql`
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py`（重点看第 360-380 行附近 `dwd_assistant_trash_event` 和 `dwd_assistant_trash_event_ex` 的 FACT_MAPPINGS）
- `db/etl_feiqiu/schemas/dwd.sql`（第 1606-1620 行 `dwd_assistant_trash_event_ex` 表定义）
- `db/etl_feiqiu/schemas/schema_dwd_doc.sql`（第 1584-1596 行 `dwd_assistant_trash_event_ex` 表定义）
- `docs/database/etl_feiqiu_schema_migration.md`（末尾"未同步项"部分，约第 1285-1290 行）
USER QUERIES(most recent first):
1. dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补，和之前需求一样，对数据上下游处理过程也要增补，对文档和DDL进行更新。
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. dwd_assistant_trash_event_ex.assistant_no_int这个字段确认下用途，和历史信息，有必要的化，进行增补，和之前需求一样，对数据上下游处理过程也要增补，对文档和DDL进行更新。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 继续
9. Output:
Command executed successfully with no output.
Exit Code: 0
10. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
```

294
docs/audit/prompt_logs/prompt_log_20260221_153228.md
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@@ -1,147 +1,147 @@
- [P20260221-153228] 2026-02-21 15:32:28 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 前后端联调 — a…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 前后端联调 — admin-web 任务配置、提交、执行、验证
**STATUS**: in-progress
**USER QUERIES**: 1-6 (全部用户消息都是同一个任务的延续)
**SHORT DESCRIPTION**: 前后端联调：关闭/启动 admin-web 前后端服务，通过浏览器配置 ETL 任务（api_full, 全窗口处理, 自定义范围 2025-11-01~2026-02-20, 窗口切分30天, force-full, 全选常用任务），提交执行，做回归测试和数据检验，执行 ETL Data Consistency Check hook，输出详细计时文档。
**DETAILS**:
### 已完成的步骤：
1. **端口清理和服务启动** — 清理了 8000 和 5173 端口，前端 `pnpm dev` 在 5173 运行（进程 ID 6），后端通过 `Start-Process` 启动 uvicorn 在 8000（PID 3644）
2. **登录问题解决** — 种子数据 `db/zqyy_app/seeds/admin_web_seed.sql` 中有默认用户 `admin/admin123`（bcrypt hash），但 API 返回 401（密码不匹配或种子未导入）。最终用户手动在浏览器中完成了登录
3. **浏览器 UI 配置完成** — 通过 Playwright 在 http://localhost:5173 完成了所有配置：
- Flow: `api_full` ✅
- 处理模式: `full_window`（全窗口处理）✅
- 时间窗口: 自定义范围 2025-11-01 ~ 2026-02-20 ✅
- 窗口切分: 30天 ✅（通过 JS evaluate 点击，因为 label 拦截了 Playwright 直接点击）
- force-full: 已勾选 ✅
- 全选常用任务: 已选 40/43 ✅（排除 DWS_ML_MANUAL_IMPORT 等 3 个非常用任务）
- 门店: 已选 1 个门店（site_id 2790685415443269）✅
4. **任务已提交并正在执行** — 点击"直接执行"后，页面跳转到任务管理页面，历史标签显示任务状态为 `running`，开始时间 2026/2/21 15:29:20
5. **实时日志正常** — WebSocket 日志显示 ETL 正在按 4 段窗口执行 ODS 任务，ODS_ASSISTANT_ACCOUNT 已完成（fetched 276, updated 276），ODS_ASSISTANT_LEDGER 正在执行中
6. **执行命令确认正确**：`C:\NeoZQYY\.venv\Scripts\python.exe -m cli.main --flow api_full --processing-mode full_window --tasks ODS_ASSISTANT_ACCOUNT,...,DWD_LOAD_FROM_ODS --window-start 2025-11-01 --window-end 2026-02-20 --window-split day --window-split-days 30 --force-full --store-id 2790685415443269`
### 当前状态：
- ETL 任务正在后台执行中（预计总耗时约 85 分钟，参考上次执行 85m35s）
- 开始时间 15:29:20，预计约 16:55 完成
- 浏览器在任务管理页面的历史标签，详情对话框已关闭
### 待完成的步骤：
- 等待任务执行完成
- 回归测试和数据检验
- 执行 ETL Data Consistency Check hook
- 创建计时文档（输出到 `export/SYSTEM/REPORTS/` 或 `SYSTEM_LOG_ROOT`）
- 总结耗时长的项目
**NEXT STEPS**:
1. **检查任务执行状态** — 刷新历史标签页，查看任务是否已完成（状态从 running → success/failed）
2. **查看执行日志** — 点击任务行查看完整日志，确认所有 ODS/DWD/DWS/INDEX 任务是否成功
3. **回归测试和数据检验** — 执行完成后，通过数据库查询验证数据正确性（使用 `mcp_pg_etl_test` 或写 Python 脚本连接 `test_etl_feiqiu`）
4. **执行 ETL Data Consistency Check hook** — 运行 `scripts/ops/etl_consistency_check.py`
5. **创建计时文档** — 需要先在 `.env` / `.env.template` 中确认或新增输出路径环境变量，然后编写 Python 脚本解析 ETL 日志提取各步骤耗时，输出到 `export/` 体系下（遵循 export-paths.md 规范）。可使用 `SYSTEM_LOG_ROOT` 作为输出目录
6. **总结耗时长的项目** — 分析计时结果，找出瓶颈
**FILEPATHS**:
- `apps/admin-web/src/pages/TaskConfig.tsx` — 任务配置页面
- `apps/admin-web/src/pages/TaskManager.tsx` — 任务管理页面
- `apps/admin-web/src/api/execution.ts` — 执行 API 调用
- `apps/admin-web/src/api/client.ts` — axios 实例 + JWT 拦截器
- `apps/admin-web/src/store/authStore.ts` — 认证状态管理
- `apps/admin-web/src/pages/Login.tsx` — 登录页面
- `apps/backend/app/main.py` — 后端入口
- `apps/backend/app/config.py` — 后端配置
- `apps/backend/app/routers/auth.py` — 认证路由
- `apps/backend/app/routers/execution.py` — 执行路由
- `apps/backend/app/database.py` — 数据库连接
- `apps/backend/app/auth/jwt.py` — JWT 工具（verify_password, create_token_pair 等）
- `db/zqyy_app/seeds/admin_web_seed.sql` — 种子数据（admin/admin123）
- `.env.template` — 环境变量模板
- `scripts/ops/_login_test.py` — 一次性登录测试脚本（可删除）
- `scripts/ops/_env_paths.py` — 共享路径工具
**RUNNING PROCESSES**:
- 进程 6: `pnpm dev` in `apps/admin-web` (前端 dev server, port 5173)
- 后端 uvicorn PID 3644 (通过 Start-Process 启动, port 8000, 非 Kiro 管理)
- ETL 子进程正在执行中（由后端 execution router 启动，run_uuid=4ba9d2d365ee4a858f1c4104b1942dc2）
- 进程 3: `python scripts/ops/etl_consistency_check.py` (之前启动的，可能已完成)
- 进程 7: `python analyze_dataflow.py` in `scripts/ops` (之前启动的)
**BROWSER STATE**:
- Playwright 浏览器在 http://localhost:5173/task-manager（任务管理页面，历史标签）
- 用户已登录，JWT token 有效
- 任务详情对话框已关闭
**USER CORRECTIONS AND INSTRUCTIONS**:
- 所有输出文件必须写入 `export/` 目录体系，通过 `.env` 环境变量控制路径（export-paths.md 强制规范）
- 禁止硬编码绝对/相对路径，路径仅存在于 `.env` 文件中
- 测试必须使用完整 `.env` 加载，cwd 与正式运行一致（testing-env.md 强制规范）
- 数据库使用测试库：`test_etl_feiqiu` / `test_zqyy_app`
- 所有说明性文字使用简体中文（language-zh.md 强制规范）
- 脚本级任务优先编写 Python 脚本执行，避免 PowerShell 复杂逻辑
- 一次性运维脚本放 `scripts/ops/`
- 高风险路径变更需审计（本任务是联调测试，不涉及代码变更，无需审计）
- `scripts/ops/` 脚本通过 `_env_paths.get_output_path("变量名")` 读取输出路径
- 用户说"你使用浏览器，进行调试，我来帮你登录" — 表示用户愿意手动协助浏览器操作
- MCP `mcp_pg_app_test` 连接失败（Not connected），需要用 Python 脚本或后端 API 查询数据库
## Files to read
- `apps/backend/app/routers/execution.py`
- `apps/backend/app/config.py`
- `scripts/ops/_env_paths.py`
- `.env.template`
USER QUERIES(most recent first):
1. 好了，继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 好了，继续
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 你使用浏览器，进行调试，我来帮你登录啊
9. User provided specific guidance: "Keep Iterating". Please incorporate this guidance and try a different approach.
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
- [P20260221-153228] 2026-02-21 15:32:28 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: 前后端联调 — a…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: 前后端联调 — admin-web 任务配置、提交、执行、验证
**STATUS**: in-progress
**USER QUERIES**: 1-6 (全部用户消息都是同一个任务的延续)
**SHORT DESCRIPTION**: 前后端联调：关闭/启动 admin-web 前后端服务，通过浏览器配置 ETL 任务（api_full, 全窗口处理, 自定义范围 2025-11-01~2026-02-20, 窗口切分30天, force-full, 全选常用任务），提交执行，做回归测试和数据检验，执行 ETL Data Consistency Check hook，输出详细计时文档。
**DETAILS**:
### 已完成的步骤：
1. **端口清理和服务启动** — 清理了 8000 和 5173 端口，前端 `pnpm dev` 在 5173 运行（进程 ID 6），后端通过 `Start-Process` 启动 uvicorn 在 8000（PID 3644）
2. **登录问题解决** — 种子数据 `db/zqyy_app/seeds/admin_web_seed.sql` 中有默认用户 `admin/admin123`（bcrypt hash），但 API 返回 401（密码不匹配或种子未导入）。最终用户手动在浏览器中完成了登录
3. **浏览器 UI 配置完成** — 通过 Playwright 在 http://localhost:5173 完成了所有配置：
- Flow: `api_full` ✅
- 处理模式: `full_window`（全窗口处理）✅
- 时间窗口: 自定义范围 2025-11-01 ~ 2026-02-20 ✅
- 窗口切分: 30天 ✅（通过 JS evaluate 点击，因为 label 拦截了 Playwright 直接点击）
- force-full: 已勾选 ✅
- 全选常用任务: 已选 40/43 ✅（排除 DWS_ML_MANUAL_IMPORT 等 3 个非常用任务）
- 门店: 已选 1 个门店（site_id 2790685415443269）✅
4. **任务已提交并正在执行** — 点击"直接执行"后，页面跳转到任务管理页面，历史标签显示任务状态为 `running`，开始时间 2026/2/21 15:29:20
5. **实时日志正常** — WebSocket 日志显示 ETL 正在按 4 段窗口执行 ODS 任务，ODS_ASSISTANT_ACCOUNT 已完成（fetched 276, updated 276），ODS_ASSISTANT_LEDGER 正在执行中
6. **执行命令确认正确**：`C:\Project\NeoZQYY\.venv\Scripts\python.exe -m cli.main --flow api_full --processing-mode full_window --tasks ODS_ASSISTANT_ACCOUNT,...,DWD_LOAD_FROM_ODS --window-start 2025-11-01 --window-end 2026-02-20 --window-split day --window-split-days 30 --force-full --store-id 2790685415443269`
### 当前状态：
- ETL 任务正在后台执行中（预计总耗时约 85 分钟，参考上次执行 85m35s）
- 开始时间 15:29:20，预计约 16:55 完成
- 浏览器在任务管理页面的历史标签，详情对话框已关闭
### 待完成的步骤：
- 等待任务执行完成
- 回归测试和数据检验
- 执行 ETL Data Consistency Check hook
- 创建计时文档（输出到 `export/SYSTEM/REPORTS/` 或 `SYSTEM_LOG_ROOT`）
- 总结耗时长的项目
**NEXT STEPS**:
1. **检查任务执行状态** — 刷新历史标签页，查看任务是否已完成（状态从 running → success/failed）
2. **查看执行日志** — 点击任务行查看完整日志，确认所有 ODS/DWD/DWS/INDEX 任务是否成功
3. **回归测试和数据检验** — 执行完成后，通过数据库查询验证数据正确性（使用 `mcp_pg_etl_test` 或写 Python 脚本连接 `test_etl_feiqiu`）
4. **执行 ETL Data Consistency Check hook** — 运行 `scripts/ops/etl_consistency_check.py`
5. **创建计时文档** — 需要先在 `.env` / `.env.template` 中确认或新增输出路径环境变量，然后编写 Python 脚本解析 ETL 日志提取各步骤耗时，输出到 `export/` 体系下（遵循 export-paths.md 规范）。可使用 `SYSTEM_LOG_ROOT` 作为输出目录
6. **总结耗时长的项目** — 分析计时结果，找出瓶颈
**FILEPATHS**:
- `apps/admin-web/src/pages/TaskConfig.tsx` — 任务配置页面
- `apps/admin-web/src/pages/TaskManager.tsx` — 任务管理页面
- `apps/admin-web/src/api/execution.ts` — 执行 API 调用
- `apps/admin-web/src/api/client.ts` — axios 实例 + JWT 拦截器
- `apps/admin-web/src/store/authStore.ts` — 认证状态管理
- `apps/admin-web/src/pages/Login.tsx` — 登录页面
- `apps/backend/app/main.py` — 后端入口
- `apps/backend/app/config.py` — 后端配置
- `apps/backend/app/routers/auth.py` — 认证路由
- `apps/backend/app/routers/execution.py` — 执行路由
- `apps/backend/app/database.py` — 数据库连接
- `apps/backend/app/auth/jwt.py` — JWT 工具（verify_password, create_token_pair 等）
- `db/zqyy_app/seeds/admin_web_seed.sql` — 种子数据（admin/admin123）
- `.env.template` — 环境变量模板
- `scripts/ops/_login_test.py` — 一次性登录测试脚本（可删除）
- `scripts/ops/_env_paths.py` — 共享路径工具
**RUNNING PROCESSES**:
- 进程 6: `pnpm dev` in `apps/admin-web` (前端 dev server, port 5173)
- 后端 uvicorn PID 3644 (通过 Start-Process 启动, port 8000, 非 Kiro 管理)
- ETL 子进程正在执行中（由后端 execution router 启动，run_uuid=4ba9d2d365ee4a858f1c4104b1942dc2）
- 进程 3: `python scripts/ops/etl_consistency_check.py` (之前启动的，可能已完成)
- 进程 7: `python analyze_dataflow.py` in `scripts/ops` (之前启动的)
**BROWSER STATE**:
- Playwright 浏览器在 http://localhost:5173/task-manager（任务管理页面，历史标签）
- 用户已登录，JWT token 有效
- 任务详情对话框已关闭
**USER CORRECTIONS AND INSTRUCTIONS**:
- 所有输出文件必须写入 `export/` 目录体系，通过 `.env` 环境变量控制路径（export-paths.md 强制规范）
- 禁止硬编码绝对/相对路径，路径仅存在于 `.env` 文件中
- 测试必须使用完整 `.env` 加载，cwd 与正式运行一致（testing-env.md 强制规范）
- 数据库使用测试库：`test_etl_feiqiu` / `test_zqyy_app`
- 所有说明性文字使用简体中文（language-zh.md 强制规范）
- 脚本级任务优先编写 Python 脚本执行，避免 PowerShell 复杂逻辑
- 一次性运维脚本放 `scripts/ops/`
- 高风险路径变更需审计（本任务是联调测试，不涉及代码变更，无需审计）
- `scripts/ops/` 脚本通过 `_env_paths.get_output_path("变量名")` 读取输出路径
- 用户说"你使用浏览器，进行调试，我来帮你登录" — 表示用户愿意手动协助浏览器操作
- MCP `mcp_pg_app_test` 连接失败（Not connected），需要用 Python 脚本或后端 API 查询数据库
## Files to read
- `apps/backend/app/routers/execution.py`
- `apps/backend/app/config.py`
- `scripts/ops/_env_paths.py`
- `.env.template`
USER QUERIES(most recent first):
1. 好了，继续
2. Output:
Command executed successfully with no output.
Exit Code: 0
3. Output:
Command executed successfully with no output.
Exit Code: 0
4. 好了，继续
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. 你使用浏览器，进行调试，我来帮你登录啊
9. User provided specific guidance: "Keep Iterating". Please incorporate this guidance and try a different approach.
10. Output:
Command executed successfully with no output.
Exit Code: 0
11. Output:
Command executed successfully with no output.
Exit Code: 0
---
METADATA:
The previous conversation had 6 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
```

314
docs/audit/prompt_logs/prompt_log_20260221_211315.md
View File

@@ -1,157 +1,157 @@
- [P20260221-211315] 2026-02-21 21:13:15 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Execute D…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Execute Dataflow Structure Analysis (Two Phases)
**STATUS**: done
**USER QUERIES**: Initial request (from context transfer)
**DETAILS**: Completed in previous conversation. Ran `analyze_dataflow.py` and `gen_dataflow_report.py`. Output at `export/SYSTEM/REPORTS/dataflow_analysis/`.
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`
## TASK 2: Investigate Two Missing Field Mappings
**STATUS**: done
**USER QUERIES**: From context transfer + user follow-up asking to scan JSON values
**DETAILS**:
- `time_slot_sale` (store_goods_master): API returns it (all values = `'2'`, 692 records across 4 batches), but ODS DDL never had it
- `commoditycode` (tenant_goods_master): API JSON does NOT return `commoditycode` field (696 records all missing). API returns `commodity_code` instead (single string values like `'10000'`, `'10000028'`). All values are single-element (no multi-value arrays found). ODS has both `commodityCode TEXT` and `commodity_code TEXT` columns.
- One-off scan script `_scan_json_fields.py` was created and deleted
- JSON structure: `pages[].response.data.orderGoodsList` for store_goods, `pages[].response.data.tenantGoodsList` for tenant_goods
**FILEPATHS**: `scripts/ops/_scan_json_fields.py` (deleted)
## TASK 3: Add time_slot_sale + Merge commodity_code (Task 1 from user)
**STATUS**: in-progress
**USER QUERIES**: User's main request with two sub-tasks
**DETAILS**:
What was completed:
1. **Migration script created and executed on test DB** — all 3 ALTER TABLE operations succeeded:
- `ods.store_goods_master` ADD `time_slot_sale INTEGER` ✓
- `dwd.dim_store_goods_ex` ADD `time_slot_sale INTEGER` ✓
- `dwd.dim_tenant_goods_ex.commodity_code_list` changed from `VARCHAR(256)` to `TEXT[]` ✓
- Verification confirmed: ODS time_slot_sale=integer, DWD time_slot_sale=integer, commodity_code_list=ARRAY/_text
2. **DDL files updated**:
- `db/etl_feiqiu/schemas/ods.sql`: Added `time_slot_sale INTEGER` to store_goods_master + COMMENT ✓
- `db/etl_feiqiu/schemas/dwd.sql`: Added `time_slot_sale INTEGER` to dim_store_goods_ex + COMMENT ✓
- `db/etl_feiqiu/schemas/dwd.sql`: Changed `commodity_code_list VARCHAR(256)` → `TEXT[]` ✓
3. **FACT_MAPPINGS updated** (partially):
- `dwd.dim_store_goods_ex`: Added `("time_slot_sale", "time_slot_sale", None)` ✓
- **NOT YET DONE**: `dwd.dim_tenant_goods_ex` commodity_code_list mapping needs update — currently maps from `commodity_code` (single value) but needs to map from `"commodityCode"` (the ODS column that stores the array format `["10000028"]`) and cast to TEXT[]
4. **Migration script file**: `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql` ✓
5. **One-off migration runner**: `scripts/ops/_run_migration.py` still exists (needs cleanup)
**NEXT STEPS** (Task 1 remaining):
- Update FACT_MAPPINGS for `dwd.dim_tenant_goods_ex` — the `commodity_code_list` mapping currently reads `("commodity_code_list", "commodity_code", None)` but needs to be changed to map from `"commodityCode"` column and parse the JSON array `["10000028"]` into a PostgreSQL TEXT[] array. The mapping expression needs a cast like `"string_to_array(trim(both '[]' from \"commodityCode\"), ',')"` or similar approach using the ODS `commodityCode` column which stores `{10000028}` format
- The ODS loader is schema-aware (`_insert_records_schema_aware` in `ods_tasks.py` line 721) — it dynamically reads columns from DB, so no code change needed for ODS ingestion
- Clean up `scripts/ops/_run_migration.py`
- Update `docs/database/` with schema change documentation (db-docs.md rule)
- The `gen_field_review_doc.py` skip lists may need updating (lines ~908 and ~634) to reflect these fields are now mapped
**FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql`
- `db/etl_feiqiu/schemas/ods.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` (FACT_MAPPINGS at ~line 113)
- `scripts/ops/_run_migration.py` (to delete)
## TASK 4: DDL vs Database Consistency Check + Migration Archive (Task 2 from user)
**STATUS**: not-started
**USER QUERIES**: User's second sub-task: "做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。"
**DETAILS**: Compare all DDL files (ODS, DWD, DWS, indexes) against actual test database schema. Find discrepancies, merge missing definitions, then archive branch migration scripts.
**NEXT STEPS**:
- Write a script to compare DDL files vs actual DB columns for all schemas (ods, dwd, dws)
- Check indexes match
- Check seeds
- Merge any discrepancies
- Archive migration scripts from this branch
**FILEPATHS**: `db/etl_feiqiu/schemas/ods.sql`, `db/etl_feiqiu/schemas/dwd.sql`, `db/etl_feiqiu/schemas/dws.sql`, `db/etl_feiqiu/schemas/` (index files), `db/etl_feiqiu/seeds/`, `db/etl_feiqiu/migrations/`
## USER CORRECTIONS AND INSTRUCTIONS:
- All output must go to `export/` directory structure via `.env` environment variables
- Scripts run from `scripts/ops/` — but cwd is currently stuck at `scripts/ops/` in the shell, so use absolute paths like `python C:\NeoZQYY\scripts\ops\script.py`
- Database testing uses `TEST_DB_DSN` (test_etl_feiqiu), never production
- All explanatory text in simplified Chinese
- Python scripts preferred over PowerShell for complex operations
- ODS loader is schema-aware — reads columns from DB dynamically, no hardcoded column lists needed
- Audit reminder is pending (root-file, dir:admin-web, dir:backend, dir:db, db-schema-change) — user will manually trigger `/audit`
- `db-docs.md` rule: any schema change must sync `docs/database/` with change description, compatibility notes, rollback strategy, and 3+ verification SQLs
- The locked `field_mappings/` directory in `export/SYSTEM/REPORTS/dataflow_analysis/` should be manually deleted after system restart (from previous task)
## Key Architecture Notes:
- ODS tables use `(id, content_hash)` as composite PK
- DWD dimension tables use SCD2 with `(pk, scd2_start_time)` as composite PK
- FACT_MAPPINGS in `dwd_load_task.py` format: `(dwd_column, ods_expression, cast_type)`
- ODS ingestion: `BaseOdsTask._insert_records_schema_aware()` dynamically reads table columns from DB — adding a column to DDL+DB is sufficient for ODS to start capturing it
- DWD loading: columns not in FACT_MAPPINGS are auto-mapped by matching column names between ODS and DWD
## Files to read
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` (FACT_MAPPINGS — need to fix commodity_code_list mapping)
- `db/etl_feiqiu/schemas/dwd.sql` (recently modified)
- `db/etl_feiqiu/schemas/ods.sql` (recently modified)
- `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql`
- `scripts/ops/_run_migration.py` (needs cleanup)
- `scripts/ops/gen_field_review_doc.py` (skip lists may need updating)
USER QUERIES(most recent first):
1. 任务1：time_slot_sale 在ODS和DWD中添加。commoditycode 和 commodity_code 合并。采用数组方式吧。入库，落地，做好DDL，MAPPING等处理，文档落地等工作任务2：做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。
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1：time_slot_sale 在ODS和DWD中添加。commoditycode 和 commodity_code 合并。采用数组方式吧。入库，落地，做好DDL，MAPPING等处理，文档落地等工作任务2：做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. time_slot_sale，遍历下Json这个字段，有什么值？关于commodity_code_list 和 commodity_code 问题。我打算进行合并。在操作之前，从JSON遍历检查返回的数组有多个值的情况么？
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
---
METADATA:
The previous conversation had 6 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.
- [P20260221-211315] 2026-02-21 21:13:15 +0800
- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Execute D…
- prompt:
```text
CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
---
## TASK 1: Execute Dataflow Structure Analysis (Two Phases)
**STATUS**: done
**USER QUERIES**: Initial request (from context transfer)
**DETAILS**: Completed in previous conversation. Ran `analyze_dataflow.py` and `gen_dataflow_report.py`. Output at `export/SYSTEM/REPORTS/dataflow_analysis/`.
**FILEPATHS**: `scripts/ops/analyze_dataflow.py`, `scripts/ops/gen_dataflow_report.py`
## TASK 2: Investigate Two Missing Field Mappings
**STATUS**: done
**USER QUERIES**: From context transfer + user follow-up asking to scan JSON values
**DETAILS**:
- `time_slot_sale` (store_goods_master): API returns it (all values = `'2'`, 692 records across 4 batches), but ODS DDL never had it
- `commoditycode` (tenant_goods_master): API JSON does NOT return `commoditycode` field (696 records all missing). API returns `commodity_code` instead (single string values like `'10000'`, `'10000028'`). All values are single-element (no multi-value arrays found). ODS has both `commodityCode TEXT` and `commodity_code TEXT` columns.
- One-off scan script `_scan_json_fields.py` was created and deleted
- JSON structure: `pages[].response.data.orderGoodsList` for store_goods, `pages[].response.data.tenantGoodsList` for tenant_goods
**FILEPATHS**: `scripts/ops/_scan_json_fields.py` (deleted)
## TASK 3: Add time_slot_sale + Merge commodity_code (Task 1 from user)
**STATUS**: in-progress
**USER QUERIES**: User's main request with two sub-tasks
**DETAILS**:
What was completed:
1. **Migration script created and executed on test DB** — all 3 ALTER TABLE operations succeeded:
- `ods.store_goods_master` ADD `time_slot_sale INTEGER` ✓
- `dwd.dim_store_goods_ex` ADD `time_slot_sale INTEGER` ✓
- `dwd.dim_tenant_goods_ex.commodity_code_list` changed from `VARCHAR(256)` to `TEXT[]` ✓
- Verification confirmed: ODS time_slot_sale=integer, DWD time_slot_sale=integer, commodity_code_list=ARRAY/_text
2. **DDL files updated**:
- `db/etl_feiqiu/schemas/ods.sql`: Added `time_slot_sale INTEGER` to store_goods_master + COMMENT ✓
- `db/etl_feiqiu/schemas/dwd.sql`: Added `time_slot_sale INTEGER` to dim_store_goods_ex + COMMENT ✓
- `db/etl_feiqiu/schemas/dwd.sql`: Changed `commodity_code_list VARCHAR(256)` → `TEXT[]` ✓
3. **FACT_MAPPINGS updated** (partially):
- `dwd.dim_store_goods_ex`: Added `("time_slot_sale", "time_slot_sale", None)` ✓
- **NOT YET DONE**: `dwd.dim_tenant_goods_ex` commodity_code_list mapping needs update — currently maps from `commodity_code` (single value) but needs to map from `"commodityCode"` (the ODS column that stores the array format `["10000028"]`) and cast to TEXT[]
4. **Migration script file**: `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql` ✓
5. **One-off migration runner**: `scripts/ops/_run_migration.py` still exists (needs cleanup)
**NEXT STEPS** (Task 1 remaining):
- Update FACT_MAPPINGS for `dwd.dim_tenant_goods_ex` — the `commodity_code_list` mapping currently reads `("commodity_code_list", "commodity_code", None)` but needs to be changed to map from `"commodityCode"` column and parse the JSON array `["10000028"]` into a PostgreSQL TEXT[] array. The mapping expression needs a cast like `"string_to_array(trim(both '[]' from \"commodityCode\"), ',')"` or similar approach using the ODS `commodityCode` column which stores `{10000028}` format
- The ODS loader is schema-aware (`_insert_records_schema_aware` in `ods_tasks.py` line 721) — it dynamically reads columns from DB, so no code change needed for ODS ingestion
- Clean up `scripts/ops/_run_migration.py`
- Update `docs/database/` with schema change documentation (db-docs.md rule)
- The `gen_field_review_doc.py` skip lists may need updating (lines ~908 and ~634) to reflect these fields are now mapped
**FILEPATHS**:
- `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql`
- `db/etl_feiqiu/schemas/ods.sql`
- `db/etl_feiqiu/schemas/dwd.sql`
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` (FACT_MAPPINGS at ~line 113)
- `scripts/ops/_run_migration.py` (to delete)
## TASK 4: DDL vs Database Consistency Check + Migration Archive (Task 2 from user)
**STATUS**: not-started
**USER QUERIES**: User's second sub-task: "做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。"
**DETAILS**: Compare all DDL files (ODS, DWD, DWS, indexes) against actual test database schema. Find discrepancies, merge missing definitions, then archive branch migration scripts.
**NEXT STEPS**:
- Write a script to compare DDL files vs actual DB columns for all schemas (ods, dwd, dws)
- Check indexes match
- Check seeds
- Merge any discrepancies
- Archive migration scripts from this branch
**FILEPATHS**: `db/etl_feiqiu/schemas/ods.sql`, `db/etl_feiqiu/schemas/dwd.sql`, `db/etl_feiqiu/schemas/dws.sql`, `db/etl_feiqiu/schemas/` (index files), `db/etl_feiqiu/seeds/`, `db/etl_feiqiu/migrations/`
## USER CORRECTIONS AND INSTRUCTIONS:
- All output must go to `export/` directory structure via `.env` environment variables
- Scripts run from `scripts/ops/` — but cwd is currently stuck at `scripts/ops/` in the shell, so use absolute paths like `python C:\Project\NeoZQYY\scripts\ops\script.py`
- Database testing uses `TEST_DB_DSN` (test_etl_feiqiu), never production
- All explanatory text in simplified Chinese
- Python scripts preferred over PowerShell for complex operations
- ODS loader is schema-aware — reads columns from DB dynamically, no hardcoded column lists needed
- Audit reminder is pending (root-file, dir:admin-web, dir:backend, dir:db, db-schema-change) — user will manually trigger `/audit`
- `db-docs.md` rule: any schema change must sync `docs/database/` with change description, compatibility notes, rollback strategy, and 3+ verification SQLs
- The locked `field_mappings/` directory in `export/SYSTEM/REPORTS/dataflow_analysis/` should be manually deleted after system restart (from previous task)
## Key Architecture Notes:
- ODS tables use `(id, content_hash)` as composite PK
- DWD dimension tables use SCD2 with `(pk, scd2_start_time)` as composite PK
- FACT_MAPPINGS in `dwd_load_task.py` format: `(dwd_column, ods_expression, cast_type)`
- ODS ingestion: `BaseOdsTask._insert_records_schema_aware()` dynamically reads table columns from DB — adding a column to DDL+DB is sufficient for ODS to start capturing it
- DWD loading: columns not in FACT_MAPPINGS are auto-mapped by matching column names between ODS and DWD
## Files to read
- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` (FACT_MAPPINGS — need to fix commodity_code_list mapping)
- `db/etl_feiqiu/schemas/dwd.sql` (recently modified)
- `db/etl_feiqiu/schemas/ods.sql` (recently modified)
- `db/etl_feiqiu/migrations/2026-02-21__add_time_slot_sale_merge_commodity_code.sql`
- `scripts/ops/_run_migration.py` (needs cleanup)
- `scripts/ops/gen_field_review_doc.py` (skip lists may need updating)
USER QUERIES(most recent first):
1. 任务1：time_slot_sale 在ODS和DWD中添加。commoditycode 和 commodity_code 合并。采用数组方式吧。入库，落地，做好DDL，MAPPING等处理，文档落地等工作任务2：做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。
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1：time_slot_sale 在ODS和DWD中添加。commoditycode 和 commodity_code 合并。采用数组方式吧。入库，落地，做好DDL，MAPPING等处理，文档落地等工作任务2：做完任务1后，检查主DDL+种子等，包含ODS DWD DWS INDEX。是否与当前数据库相同，若有遗失和偏差则合并，检查好后，将分支后续修改的DDL归档。
5. 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
6. Output:
Command executed successfully with no output.
Exit Code: 0
7. Output:
Command executed successfully with no output.
Exit Code: 0
8. time_slot_sale，遍历下Json这个字段，有什么值？关于commodity_code_list 和 commodity_code 问题。我打算进行合并。在操作之前，从JSON遍历检查返回的数组有多个值的情况么？
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
---
METADATA:
The previous conversation had 6 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
```

2
docs/audit/prompt_logs/prompt_log_20260221_231844.md
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File diff suppressed because one or more lines are too long

2
docs/audit/prompt_logs/prompt_log_20260222_004339.md
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@@ -83,7 +83,7 @@ CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Her
**USER CORRECTIONS AND INSTRUCTIONS**:
- All responses must be in simplified Chinese
- This is `docs/h5_ui/` prototype work — NOT high-risk path, no audit needed
- PowerShell cwd is stuck at `C:\NeoZQYY\apps\etl\connectors\feiqiu\` — use absolute paths or Python scripts for shell commands
- PowerShell cwd is stuck at `C:\Project\NeoZQYY\apps\etl\connectors\feiqiu\` — use absolute paths or Python scripts for shell commands
- Export path rules don't apply here (no file output to `export/`)
**Files to read** (for continuing work):

34
docs/deployment/EXPORT-PATHS.md
View File

@@ -34,16 +34,16 @@ export/
| 环境变量 | 默认值（开发机） | 对应目录 | 说明 |
|----------|------------------|----------|------|
| `EXPORT_ROOT` | `C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON` | `ETL-Connectors/feiqiu/JSON/` | ODS 抓取 JSON 落盘根目录 |
| `LOG_ROOT` | `C:/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS` | `ETL-Connectors/feiqiu/LOGS/` | ETL 运行日志 |
| `FETCH_ROOT` | `C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON` | `ETL-Connectors/feiqiu/JSON/` | FETCH_ONLY 模式 JSON 输出（通常与 EXPORT_ROOT 相同） |
| `ETL_REPORT_ROOT` | `C:/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS` | `ETL-Connectors/feiqiu/REPORTS/` | ETL 质检/完整性报告 |
| `SYSTEM_ANALYZE_ROOT` | `C:/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis` | `SYSTEM/REPORTS/dataflow_analysis/` | 数据流结构分析报告 |
| `FIELD_AUDIT_ROOT` | `C:/NeoZQYY/export/SYSTEM/REPORTS/field_audit` | `SYSTEM/REPORTS/field_audit/` | 字段排查报告 |
| `FULL_DATAFLOW_DOC_ROOT` | `C:/NeoZQYY/export/SYSTEM/REPORTS/full_dataflow_doc` | `SYSTEM/REPORTS/full_dataflow_doc/` | 全链路数据流文档 |
| `API_SAMPLE_CACHE_ROOT` | `C:/NeoZQYY/export/SYSTEM/CACHE/api_samples` | `SYSTEM/CACHE/api_samples/` | API 样本缓存 |
| `SYSTEM_LOG_ROOT` | `C:/NeoZQYY/export/SYSTEM/LOGS` | `SYSTEM/LOGS/` | 系统级运维日志 |
| `BACKEND_LOG_ROOT` | `C:/NeoZQYY/export/BACKEND/LOGS` | `BACKEND/LOGS/` | 后端结构化日志 |
| `EXPORT_ROOT` | `C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON` | `ETL-Connectors/feiqiu/JSON/` | ODS 抓取 JSON 落盘根目录 |
| `LOG_ROOT` | `C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS` | `ETL-Connectors/feiqiu/LOGS/` | ETL 运行日志 |
| `FETCH_ROOT` | `C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON` | `ETL-Connectors/feiqiu/JSON/` | FETCH_ONLY 模式 JSON 输出（通常与 EXPORT_ROOT 相同） |
| `ETL_REPORT_ROOT` | `C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS` | `ETL-Connectors/feiqiu/REPORTS/` | ETL 质检/完整性报告 |
| `SYSTEM_ANALYZE_ROOT` | `C:/Project/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis` | `SYSTEM/REPORTS/dataflow_analysis/` | 数据流结构分析报告 |
| `FIELD_AUDIT_ROOT` | `C:/Project/NeoZQYY/export/SYSTEM/REPORTS/field_audit` | `SYSTEM/REPORTS/field_audit/` | 字段排查报告 |
| `FULL_DATAFLOW_DOC_ROOT` | `C:/Project/NeoZQYY/export/SYSTEM/REPORTS/full_dataflow_doc` | `SYSTEM/REPORTS/full_dataflow_doc/` | 全链路数据流文档 |
| `API_SAMPLE_CACHE_ROOT` | `C:/Project/NeoZQYY/export/SYSTEM/CACHE/api_samples` | `SYSTEM/CACHE/api_samples/` | API 样本缓存 |
| `SYSTEM_LOG_ROOT` | `C:/Project/NeoZQYY/export/SYSTEM/LOGS` | `SYSTEM/LOGS/` | 系统级运维日志 |
| `BACKEND_LOG_ROOT` | `C:/Project/NeoZQYY/export/BACKEND/LOGS` | `BACKEND/LOGS/` | 后端结构化日志 |
---
@@ -262,14 +262,14 @@ ETL 模块的路径变量通过 `env_parser.py` 的 `ENV_MAP` 映射到 `AppConf
## 服务器环境配置示例
开发机（`C:\NeoZQYY\.env`）：
开发机（`C:\Project\NeoZQYY\.env`）：
```env
EXPORT_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
LOG_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
FETCH_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
ETL_REPORT_ROOT=C:/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS
SYSTEM_ANALYZE_ROOT=C:/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis
BACKEND_LOG_ROOT=C:/NeoZQYY/export/BACKEND/LOGS
EXPORT_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
LOG_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/LOGS
FETCH_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/JSON
ETL_REPORT_ROOT=C:/Project/NeoZQYY/export/ETL-Connectors/feiqiu/REPORTS
SYSTEM_ANALYZE_ROOT=C:/Project/NeoZQYY/export/SYSTEM/REPORTS/dataflow_analysis
BACKEND_LOG_ROOT=C:/Project/NeoZQYY/export/BACKEND/LOGS
```
服务器测试环境（`D:\NeoZQYY\test\repo\.env`）：

1462
docs/deployment/LAUNCH-CHECKLIST.md
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File diff suppressed because it is too large Load Diff

6
docs/mcp/WEIXIN-DEVTOOLS-MCP.md
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@@ -10,7 +10,7 @@
|------|-----|
| 开发者工具路径 | `C:\dev\WechatDevtools\微信开发者工具.exe` |
| CLI 路径 | `C:\dev\WechatDevtools\cli.bat` |
| 小程序项目路径 | `C:\NeoZQYY\apps\miniprogram` |
| 小程序项目路径 | `C:\Project\NeoZQYY\apps\miniprogram` |
| 自动化端口 | `9420`（固定） |
| AppID | `wx7c07793d82732921` |
@@ -23,7 +23,7 @@
### 第 2 步：在终端启动自动化端口
```powershell
& "C:\dev\WechatDevtools\cli.bat" auto --project "C:\NeoZQYY\apps\miniprogram" --auto-port 9420
& "C:\dev\WechatDevtools\cli.bat" auto --project "C:\Project\NeoZQYY\apps\miniprogram" --auto-port 9420
```
成功输出：
@@ -40,7 +40,7 @@
```
strategy: wsEndpoint
wsEndpoint: ws://127.0.0.1:9420
projectPath: C:\NeoZQYY\apps\miniprogram
projectPath: C:\Project\NeoZQYY\apps\miniprogram
healthCheck: true
```

8
docs/migrate/monorepo-migration-summary.md
View File

@@ -15,7 +15,7 @@
### 1.2 迁移目标
将所有项目整合为 NeoZQYY Monorepo（`C:\NeoZQYY\`），实现：
将所有项目整合为 NeoZQYY Monorepo（`C:\Project\NeoZQYY\`），实现：
- 清晰的模块边界（apps/packages/db/docs 分离）
- uv workspace 统一依赖管理
- 六层数据库 Schema 架构（meta/ods/dwd/core/dws/app）
@@ -27,7 +27,7 @@
## 2. Monorepo 最终结构
```
C:\NeoZQYY\
C:\Project\NeoZQYY\
├── apps/
│ ├── etl/pipelines/feiqiu/ # 飞球 Connector（数据源连接器，从 FQ-ETL 平移）
│ ├── backend/ # FastAPI 后端（新建骨架）
@@ -292,7 +292,7 @@ C:\NeoZQYY\
```bash
# 安装依赖
cd C:\NeoZQYY
cd C:\Project\NeoZQYY
uv sync
# ETL 开发
@@ -308,7 +308,7 @@ cd apps/etl/pipelines/feiqiu
pytest tests/unit
# 运行属性测试
cd C:\NeoZQYY
cd C:\Project\NeoZQYY
pytest tests/ -v
```

2
docs/migrate/oldworkspace-kiro-agent-config-summary.md
View File

@@ -199,7 +199,7 @@ audit-writer 子代理（独立执行）
| 服务器名 | 命令 | 用途 | 状态 | 自动批准 |
|---|---|---|---|---|
| `filesystem` | `npx @modelcontextprotocol/server-filesystem` | 文件系统读写（作用域：`C:\NeoZQYY`） | 启用 | 全部 |
| `filesystem` | `npx @modelcontextprotocol/server-filesystem` | 文件系统读写（作用域：`C:\Project\NeoZQYY`） | 启用 | 全部 |
| `git` | `uvx mcp-server-git@2025.12.18` | Git 操作（status/diff/commit/log 等） | 启用 | `git_status` |
| `postgres` | `uvx postgres-mcp --access-mode=unrestricted` | PostgreSQL 数据库操作（查询/DDL/健康检查/索引分析） | 启用 | 全部 |
| `playwright` | `npx @playwright/mcp@latest` | 浏览器自动化（截图/快照/点击/表单填写） | 启用 | 无 |

2
docs/ops/init-test-user.md
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@@ -46,7 +46,7 @@
### 基本用法（创建店铺管理员）
```bash
cd C:\NeoZQYY
cd C:\Project\NeoZQYY
python scripts/ops/init_test_user.py
```

2
scripts/migrate/fix_schema_refs.py
View File

@@ -2,7 +2,7 @@
"""批量替换运行时代码中残留的旧 schema 引用。"""
import os
ROOT = r"C:\NeoZQYY"
ROOT = r"C:\Project\NeoZQYY"
import glob

2
scripts/ops/_analyze_settlement_data.py
View File

@@ -4,7 +4,7 @@
分析手动获取的结账数据，检查时间分布
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_analyze_settlement_data.py
"""

2
scripts/ops/_check_etl_log_tail.py
View File

@@ -1,7 +1,7 @@
"""快速检查 ETL 日志尾部 — 一次性脚本"""
import os, sys
LOG = r"C:\NeoZQYY\export\ETL-Connectors\feiqiu\LOGS\2681a85399e64c76a040163f956e1907.log"
LOG = r"C:\Project\NeoZQYY\export\ETL-Connectors\feiqiu\LOGS\2681a85399e64c76a040163f956e1907.log"
f = open(LOG, "rb")
f.seek(0, 2)

2
scripts/ops/_etl_integration_report.py
View File

@@ -18,7 +18,7 @@ SYSTEM_LOG_ROOT = os.environ.get("SYSTEM_LOG_ROOT")
if not SYSTEM_LOG_ROOT:
raise RuntimeError("SYSTEM_LOG_ROOT 环境变量未设置")
LOG_FILE = Path(r"C:\NeoZQYY\export\ETL-Connectors\feiqiu\LOGS\2681a85399e64c76a040163f956e1907.log")
LOG_FILE = Path(r"C:\Project\NeoZQYY\export\ETL-Connectors\feiqiu\LOGS\2681a85399e64c76a040163f956e1907.log")
if not LOG_FILE.exists():
raise FileNotFoundError(f"日志文件不存在: {LOG_FILE}")

2
scripts/ops/_export_openapi.py
View File

@@ -7,6 +7,6 @@ sys.path.insert(0, str(pathlib.Path(__file__).resolve().parents[2] / "apps" / "b
from app.main import app
spec = app.openapi()
out = pathlib.Path(r"C:\NeoZQYY\docs\contracts\openapi\backend-api.json")
out = pathlib.Path(r"C:\Project\NeoZQYY\docs\contracts\openapi\backend-api.json")
out.write_text(json.dumps(spec, ensure_ascii=False, indent=2), encoding="utf-8")
print(f"Done: {len(spec['paths'])} paths, {len(spec['components']['schemas'])} schemas")

2
scripts/ops/_fetch_settlement_data_manual.py
View File

@@ -7,7 +7,7 @@
需要手动调用 API 获取最新的结账数据，确认是否为 API 数据源问题。
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_fetch_settlement_data_manual.py
"""

2
scripts/ops/_final_spi_diagnosis_report.py
View File

@@ -4,7 +4,7 @@
SPI 问题最终诊断报告 - 基于数据库实际查询
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_final_spi_diagnosis_report.py
"""

2
scripts/ops/_find.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
raw = f.read()
crlf = b'\r\n' in raw

6
scripts/ops/_fix1.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
raw = f.read()
crlf = b'\r\n' in raw
@@ -33,11 +33,11 @@ for i, line in enumerate(lines):
break
if not found:
open('c:/NeoZQYY/scripts/ops/_fix_status.txt','w').write('target not found')
open('c:/Project/NeoZQYY/scripts/ops/_fix_status.txt','w').write('target not found')
else:
doc = '\n'.join(lines)
if crlf:
doc = doc.replace('\n', '\r\n')
with open(path, 'wb') as f:
f.write(doc.encode('utf-8'))
open('c:/NeoZQYY/scripts/ops/_fix_status.txt','w').write('done')
open('c:/Project/NeoZQYY/scripts/ops/_fix_status.txt','w').write('done')

2
scripts/ops/_fix2.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
raw = f.read()
crlf = b'\r\n' in raw

2
scripts/ops/_fix_playbook_3b.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
raw = f.read()
content = raw.decode('utf-8')

2
scripts/ops/_generate_settlement_issue_report.py
View File

@@ -4,7 +4,7 @@
生成飞球 API 结账数据问题综合报告
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_generate_settlement_issue_report.py
"""

2
scripts/ops/_inspect.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
raw = f.read()
doc = raw.decode('utf-8').replace('\r\n', '\n')

2
scripts/ops/_inspect_settlement_json.py
View File

@@ -4,7 +4,7 @@
检查结账数据 JSON 文件的结构，了解实际字段名称
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_inspect_settlement_json.py
"""

2
scripts/ops/_investigate_etl_gap.py
View File

@@ -4,7 +4,7 @@
调查 ETL 在 2026-02-14 后停止处理的原因
用法：
cd C:/NeoZQYY
cd C:/Project/NeoZQYY
python scripts/ops/_investigate_etl_gap.py
"""

8
scripts/ops/_merge.py
View File

@@ -1,7 +1,7 @@
p1 = 'c:/NeoZQYY/scripts/ops/txt/progress_p1.txt'
p2 = 'c:/NeoZQYY/scripts/ops/txt/progress_p2.txt'
p3 = 'c:/NeoZQYY/scripts/ops/txt/progress_p3.txt'
out = 'c:/NeoZQYY/docs/h5_ui/compare/PROGRESS.md'
p1 = 'c:/Project/NeoZQYY/scripts/ops/txt/progress_p1.txt'
p2 = 'c:/Project/NeoZQYY/scripts/ops/txt/progress_p2.txt'
p3 = 'c:/Project/NeoZQYY/scripts/ops/txt/progress_p3.txt'
out = 'c:/Project/NeoZQYY/docs/h5_ui/compare/PROGRESS.md'
parts = []
for p in [p1, p2, p3]:
with open(p, 'rb') as f:

2
scripts/ops/_p2.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
content = f.read().decode('utf-8')

2
scripts/ops/_p3.py
View File

@@ -1,6 +1,6 @@
import sys
sys.stdout.reconfigure(encoding='utf-8')
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
raw = f.read()
content = raw.decode('utf-8')

2
scripts/ops/_p4.py
View File

@@ -1,6 +1,6 @@
import sys
sys.stdout.reconfigure(encoding='utf-8')
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
content = f.read().decode('utf-8')
lines = content.split('\n')

2
scripts/ops/_p5.py
View File

@@ -1,5 +1,5 @@
import sys
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
c = f.read().decode('utf-8')

2
scripts/ops/_p6.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md'
with open(path, 'rb') as f:
raw = f.read()
crlf = b'\r\n' in raw

4
scripts/ops/_p7.py
View File

@@ -1,10 +1,10 @@
import sys
files = [
('c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md',
('c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md',
'*v4.1\uff082026-03-11\uff09',
'*v4.2\uff082026-03-11\uff09\uff1a\u95f4\u8ddd\u6d4b\u91cf\u4e13\u7528\u5b50\u4ee3\u7406\uff08SPACING-AGENT.md\uff09\uff1b\u901a\u7528\u5de5\u5177 measure_gaps.py\uff1b\u00a70.8 \u65b0\u589e\u95f4\u8ddd\u4ee3\u7406\u8c03\u7528\u63d0\u793a'
),
('c:/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md',
('c:/Project/NeoZQYY/docs/h5_ui/compare/ORCHESTRATION-PLAN.md',
'*v1.9\uff082026-03-11\uff09',
'*v2.0\uff082026-03-11\uff09\uff1a\u65b0\u589e\u95f4\u8ddd\u6d4b\u91cf\u4ee3\u7406\uff08\u6309\u9700\u8c03\u7528\uff09\uff1b\u4fee\u590d\u6587\u4ef6\u5934\u90e8\u63cf\u8ff0\u4e3a 4 \u79cd\u4e13\u804c\u5b50\u4ee3\u7406\u6a21\u5f0f'
),

2
scripts/ops/_p8.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
raw = f.read()
crlf = b'\r\n' in raw

2
scripts/ops/_patch1.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
content = f.read().decode('utf-8')

2
scripts/ops/_patch2.py
View File

@@ -1,4 +1,4 @@
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
content = f.read().decode('utf-8')

2
scripts/ops/_patch_playbook.py
View File

@@ -1,5 +1,5 @@
# -*- coding: utf-8 -*-
path = 'c:/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
path = 'c:/Project/NeoZQYY/docs/h5_ui/compare/AGENT-PLAYBOOK.md'
with open(path, 'rb') as f:
content = f.read().decode('utf-8')

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