在准备环境前提交次全部更改。

2026-02-19 08:35:13 +08:00
parent ded6dfb9d8
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--- a/docs/audit/prompt_logs/prompt_log_20260216_200722.md
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+- [P20260216-200722] 2026-02-16 20:07:22 +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 —…
+  - 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 — 完整三阶段执行
+
+**STATUS**: in-progress
+
+**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成：第一阶段数据采集、第二阶段语义分析、第三阶段报告生成")
+
+**DETAILS**:
+
+### 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`
+- 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)
+- **ALL 23 json_trees files have been read** into context — complete field structures for all tables
+- **5 ODS schema files read**: `ods_settlement_records.json`, `ods_payment_transactions.json`, `ods_member_profiles.json`, `ods_assistant_accounts_master.json`, `ods_site_tables_master.json` — these contain DDL COMMENT annotations with field descriptions
+- **Remaining 18 ODS schema files NOT yet read** — need to read them for complete mapping
+- **DWD schema files all empty** (0 columns) due to table name mismatch
+- **ETL loaders directory explored**: `apps/etl/pipelines/feiqiu/loaders/` has `ods/generic.py`, `dimensions/`, `facts/`, `base_loader.py`
+- **ETL source code NOT yet read** — needed for understanding ODS→DWD mapping logic
+
+### 第三阶段：报告生成 — NOT STARTED
+- Need to generate final Markdown report with:
+  - Per-table: API source field tables, ODS tables, DWD tables
+  - 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`
+
+### Key Data Summary from collection_manifest.json:
+| Table | Records | ODS Cols | DWD Cols |
+|-------|---------|----------|----------|
+| assistant_accounts_master | 69 | 67 | 0 |
+| settlement_records | 200 | 71 | 0 |
+| table_fee_transactions | 200 | 47 | 0 |
+| assistant_service_records | 200 | 71 | 0 |
+| assistant_cancellation_records | 79 | 19 | 0 |
+| store_goods_sales_records | 200 | 56 | 0 |
+| payment_transactions | 200 | 17 | 0 |
+| refund_transactions | 36 | 37 | 0 |
+| platform_coupon_redemption_records | 200 | 31 | 0 |
+| member_profiles | 200 | 25 | 0 |
+| member_stored_value_cards | 200 | 80 | 0 |
+| member_balance_changes | 200 | 33 | 0 |
+| recharge_settlements | 200 | 71 | 0 |
+| group_buy_packages | 18 | 43 | 0 |
+| group_buy_redemption_records | 200 | 57 | 0 |
+| goods_stock_summary | 173 | 19 | 0 |
+| goods_stock_movements | 200 | 24 | 0 |
+| site_tables_master | 74 | 31 | 0 |
+| stock_goods_category_tree | 9 | 16 | 0 |
+| store_goods_master | 173 | 52 | 0 |
+| table_fee_discount_records | 200 | 33 | 0 |
+| tenant_goods_master | 174 | 37 | 0 |
+| settlement_ticket_details | 0 | 43 | 0 |
+
+### ODS Schema Pattern (from read files):
+- Each ODS table has ETL metadata columns: `content_hash`, `source_file`, `source_endpoint`, `fetched_at`, `payload` (jsonb)
+- ODS columns are lowercase versions of JSON camelCase fields (e.g., `settleList.balanceAmount` → `balanceamount`)
+- Many tables store nested objects like `siteProfile` as jsonb or flatten the list-key fields only
+- 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`
+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`
+   - `apps/etl/pipelines/feiqiu/scd/` directory (SCD2 logic for DWD)
+   - `apps/etl/pipelines/feiqiu/tasks/` directory (task definitions)
+3. For each of the 23 tables, compute:
+   - JSON→ODS field mapping (semantic matching between camelCase JSON paths and lowercase ODS columns)
+   - 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`
+
+**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)
+- `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)
+
+**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`
+- 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`
+- `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`
+- `scripts/ops/dataflow_analyzer.py`
+- `.kiro/specs/dataflow-structure-audit/tasks.md`
+
+USER QUERIES(most recent first):
+1. <source-event>
+    The user manually invoked this action
+    The user is focued on the following file: No file focused
+    The user has the following paths open: \apps\etl\pipelines\feiqiu\config\env_parser.py, \apps\etl\pipelines\feiqiu\config\env_parser.py
+</source-event>
+
+执行数据流结构分析，按以下步骤完成：
+
+第一阶段：数据采集
+1. 运行 `python scripts/ops/analyze_dataflow.py` 完成数据采集（API JSON 原始数据 + DB 表结构查询）
+2. 确认采集结果已落盘到 SYSTEM_ANALYZE_ROOT（或 docs/reports/）目录下的 api_samples/、json_trees/、db_schemas/ 子目录
+
+第二阶段：语义分析
+3. 读取采集结果中的 JSON 文件（json_trees/、db_schemas/、collection_manifest.json）
+4. 读取 ETL 源码（apps/etl/pipelines/feiqiu/ 下的 loaders/、tasks/、models/、scd/ 等模块）理解数据流转逻辑
+5. 为每个字段推断作用说明：优先使用 DDL COMMENT 注释，结合 ETL 源码映射关系和 JSON 数据样本综合判断
+6. 计算 JSON → ODS 映射关系：基于字段语义匹配，标注已映射、仅存于 payload、被忽略的字段
+7. 计算 ODS → DWD 映射关系：基于 ETL loader/task 源码理解数据流转，标注直接映射、ETL 派生、SCD2 版本控制列
+
+第三阶段：报告生成
+8. 编排统计总结：为每个表格生成有业务语义的字段统计（字段覆盖率、类型分布、上下游映射覆盖率）
+9. 组装最终 Markdown 报告，包含 API 源字段表格、ODS 表格、DWD 表格及各自的统计总结
+10. 将报告保存到 SYSTEM_ANALYZE_ROOT 目录，使用 dataflow_YYYY-MM-DD_HHMMSS.md 格式命名
+11. 输出文件路径和关键统计摘要
+
+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。
+2. <implicit-rules>## Implicit Rules
+You are working on the implementation plan. 
+Ensure each task is actionable, references specific requirements, and focuses only on coding activities. 
+Once approved, inform the user that the spec is complete and they can begin implementing the tasks by opening the tasks.md file.</implicit-rules>
+---
+
+METADATA:
+The previous conversation had 2 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
+```