在前后端开发联调前 的提交20260223
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docs/audit/prompt_logs/prompt_log_20260221_153812.md
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- [P20260221-153812] 2026-02-21 15:38:12 +0800
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- 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…
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- prompt:
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```text
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CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary:
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---
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## TASK 1: 前后端联调 — admin-web 任务配置、提交、执行、验证
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**STATUS**: in-progress
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**USER QUERIES**: All queries in this conversation are continuations of the same task from a previous context transfer.
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**SHORT DESCRIPTION**: 前后端联调：通过 admin-web 浏览器配置 ETL 任务（api_full, full_window, 2025-11-01~2026-02-20, 30天窗口切分, force-full, 40个常用任务），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。
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**DETAILS**:
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### 已完成的步骤：
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1. **端口清理和服务启动** — 前端 `pnpm dev` 在 5173，后端 uvicorn 在 8000（PID 3644）
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2. **登录** — 用户手动完成
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3. **浏览器 UI 配置** — 通过 Playwright 完成所有配置并提交执行
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4. **任务已提交** — 开始时间 2026/2/21 15:29:20，run_uuid=4ba9d2d365ee4a858f1c4104b1942dc2
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### 当前发现的关键 BUG：
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ETL 执行过程中 `DWS_ASSISTANT_DAILY` 任务失败，根因是 `assistant_daily_task.py` 的 `_extract_trash_records` 方法中 SQL 引用了 `dwd.dwd_assistant_trash_event` 表中不存在的字段：
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- `assistant_service_id` → 表中实际 PK 是 `assistant_trash_event_id`
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- `trash_seconds` → 表中实际字段是 `charge_minutes_raw`（分钟，需 *60 转秒）
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- `trash_time` → 表中实际字段是 `create_time`
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这导致 `psycopg2.errors.UndefinedColumn` 错误，进而事务进入 `InFailedSqlTransaction` 状态，级联导致以下任务全部失败：
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- DWS_ASSISTANT_DAILY（根因）
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- DWS_ASSISTANT_MONTHLY
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- DWS_ASSISTANT_CUSTOMER
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- DWS_ASSISTANT_SALARY
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- DWS_ASSISTANT_FINANCE
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- ODS_SETTLEMENT_RECORDS
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- ODS_PAYMENT
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- ODS_REFUND
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- DWS_BUILD_ORDER_SUMMARY
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ODS_TABLE_USE 之后的任务恢复执行（task_executor 有连接恢复机制），ETL 仍在后台运行中。
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### 修复尝试（未成功）：
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尝试用 `editCode` 的 `replace_node` 修复 `_extract_trash_records` 方法，但写入验证失败。需要重试修复。
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### 修复方案（已确认正确）：
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在 `_extract_trash_records` 中：
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```python
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# 旧 SQL（错误）：
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SELECT assistant_service_id, trash_seconds, trash_reason, trash_time
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FROM dwd.dwd_assistant_trash_event
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WHERE site_id = %s AND DATE(trash_time) >= %s AND DATE(trash_time) <= %s
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# 新 SQL（正确）：
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SELECT assistant_trash_event_id, charge_minutes_raw * 60 AS trash_seconds,
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trash_reason, create_time AS trash_time, table_id, assistant_name
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FROM dwd.dwd_assistant_trash_event
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WHERE site_id = %s AND DATE(create_time) >= %s AND DATE(create_time) <= %s
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```
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在 `_build_trash_index` 中：
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```python
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# 旧代码：service_id = record.get('assistant_service_id')
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# 新代码：service_id = record.get('assistant_trash_event_id')
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```
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**重要业务逻辑问题**：废除表 `dwd_assistant_trash_event` 没有 `assistant_service_id` 外键，无法与 `dwd_assistant_service_log` 做 1:1 关联。`_aggregate_by_assistant_date` 中用 `service_id in trash_index` 判断服务是否被废除的逻辑在设计上有缺陷。但服务记录已有 `is_delete` 字段（当前 SQL 已用 `AND asl.is_delete = 0` 过滤），所以废除排除可能需要改为按 `table_id` + 时间匹配，或者直接依赖 `is_delete` 标记。这是一个需要与用户确认的业务决策。
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**NEXT STEPS**:
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1. **修复 `_extract_trash_records` SQL** — 替换错误字段名（文件：`apps/etl/connectors/feiqiu/tasks/dws/assistant_daily_task.py`，方法 `_extract_trash_records` 约第 163 行）
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2. **修复 `_build_trash_index`** — 将 `record.get('assistant_service_id')` 改为 `record.get('assistant_trash_event_id')`（同文件，约第 201 行）
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3. **与用户讨论废除关联逻辑** — 当前 trash_index 用 `assistant_trash_event_id` 做 key，但 `_aggregate_by_assistant_date` 中用 `service_id in trash_index` 匹配（service_id 来自 `dwd_assistant_service_log.assistant_service_id`），两个 ID 不同源，匹配不上。需要确认是否改用 `table_id` + 时间匹配，或直接依赖 `is_delete` 标记
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4. **等待当前 ETL 执行完成** — 任务仍在后台运行，需要刷新浏览器检查最终状态
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5. **回归测试和数据检验** — 执行完成后验证数据正确性
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6. **执行 ETL Data Consistency Check hook** — 运行 `scripts/ops/etl_consistency_check.py`
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7. **创建计时文档** — 解析 ETL 日志提取各步骤耗时，输出到 `SYSTEM_LOG_ROOT`
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**FILEPATHS**:
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- `apps/etl/connectors/feiqiu/tasks/dws/assistant_daily_task.py` — 需要修复的文件（`_extract_trash_records` + `_build_trash_index`）
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- `db/etl_feiqiu/schemas/dwd.sql` — `dwd_assistant_trash_event` 表 DDL（第 1580-1593 行）
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- `db/etl_feiqiu/schemas/ods.sql` — ODS `assistant_cancellation_records` 表（第 575-620 行）
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- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_load_task.py` — DWD 字段映射（第 362-374 行）
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- `apps/backend/app/routers/execution.py` — 执行路由
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- `apps/backend/app/config.py` — 后端配置
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- `scripts/ops/_env_paths.py` — 共享路径工具
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- `.env.template` — 环境变量模板
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**RUNNING PROCESSES**:
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- 进程 6: `pnpm dev` in `apps/admin-web`（前端 dev server, port 5173）
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- 后端 uvicorn PID 3644（通过 Start-Process 启动, port 8000, 非 Kiro 管理）
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- ETL 子进程正在执行中（由后端 execution router 启动）
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**BROWSER STATE**:
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- Playwright 浏览器在 http://localhost:5173/task-manager（任务管理页面，历史标签，执行详情对话框打开中，显示实时日志）
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- 用户已登录，JWT token 有效
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## USER CORRECTIONS AND INSTRUCTIONS:
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- 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）
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- 禁止硬编码绝对/相对路径，路径仅存在于 `.env` 文件中
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- 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）
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- 数据库使用测试库：`test_etl_feiqiu` / `test_zqyy_app`
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- 所有说明性文字使用简体中文（language-zh.md 强制规范）
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- 脚本级任务优先编写 Python 脚本执行，避免 PowerShell 复杂逻辑
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- 一次性运维脚本放 `scripts/ops/`
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- 高风险路径变更需审计（`tasks/` 目录下的修改需要审计）
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- `scripts/ops/` 脚本通过 `_env_paths.get_output_path("变量名")` 读取输出路径
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- MCP `mcp_pg_etl_test` / `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
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- 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
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## DWD 表结构速查（修复所需）：
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`dwd.dwd_assistant_trash_event` 实际字段：
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- `assistant_trash_event_id` BIGINT (PK)
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- `site_id` BIGINT
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- `table_id` BIGINT
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- `table_area_id` BIGINT
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- `assistant_no` VARCHAR(32)
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- `assistant_name` VARCHAR(64)
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- `charge_minutes_raw` INTEGER（废除时长，分钟）
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- `abolish_amount` NUMERIC(18,2)
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- `trash_reason` VARCHAR(255)
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- `create_time` TIMESTAMPTZ（废除时间）
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- `tenant_id` BIGINT
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`dwd.dwd_assistant_service_log` 关键字段：
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- `assistant_service_id` BIGINT (PK)
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- `site_table_id` BIGINT
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- `is_delete` INTEGER（0=正常，非0=已删除）
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- `income_seconds` INTEGER
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- `start_use_time` TIMESTAMPTZ
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## Files to read
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- `apps/etl/connectors/feiqiu/tasks/dws/assistant_daily_task.py`
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- `db/etl_feiqiu/schemas/dwd.sql` (lines 1438-1475 for service_log, lines 1580-1620 for trash_event)
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- `scripts/ops/_env_paths.py`
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- `.env.template`
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USER QUERIES(most recent first):
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1. Output:
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Command executed successfully with no output.
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Exit Code: 0
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2. Output:
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Command executed successfully with no output.
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Exit Code: 0
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---
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METADATA:
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The previous conversation had 2 messages.
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INSTRUCTIONS:
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Continue working until the user query has been fully addressed. Do not ask for clarification - proceed with the work based on the context provided.
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IMPORTANT: you need to read from the files to Read section
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```
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