- [P20260216-235232] 2026-02-16 23:52:32 +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**: 1 ("保持新文档数据全面性的基础上，加上旧文档中表格里的字段上下游映射列，以及字段的直接链接点击跳转么？更新脚本和HOOKS")

**DETAILS**:
- Old doc (`docs/reports/dataflow_api_ods_dwd.md`) had ODS tables with `← JSON 源` and `→ DWD 目标` columns with clickable anchor links between API/ODS/DWD layers
- New doc (`export/dataflow_analysis/dataflow_2026-02-16_203935.md`) had better statistics but lacked field mapping columns and anchor links
- Enhanced `scripts/ops/dataflow_analyzer.py`:
  - Added `dwd_tables: dict[str, list[ColumnInfo]]` field to `TableCollectionResult` (supports multiple DWD tables per ODS)
  - Modified `collect_all_tables()` to use `parse_table_map()` to query ALL related DWD tables instead of just `spec["dwd_table"]`
  - Added `parse_table_map()` and `parse_fact_mappings()` functions to parse ETL source code (`dwd_load_task.py`)
  - Added `build_field_mappings()` function that builds complete 3-layer field mappings (JSON→ODS→DWD) with anchor IDs
  - Modified `dump_collection_results()` to output `field_mappings/` directory with per-table JSON files containing anchors and mapping relationships
- Updated `.kiro/hooks/dataflow-analyze.kiro.hook` to v2.0 with detailed prompt instructing agent to use field_mappings data for anchor links and mapping columns
- Updated `tests/test_dataflow_analyzer.py`: fixed existing tests for new structure, added 12 new tests for `parse_table_map`, `parse_fact_mappings`, `build_field_mappings`
- All 45 tests pass

**FILEPATHS**:
- `scripts/ops/dataflow_analyzer.py`
- `scripts/ops/analyze_dataflow.py`
- `.kiro/hooks/dataflow-analyze.kiro.hook`
- `tests/test_dataflow_analyzer.py`

---

## TASK 2: Further enhance report with business descriptions, sample values, JSON field counts, and diff report

**STATUS**: in-progress

**USER QUERIES**: 2 ("继续完善：总览增加API Json字段数、覆盖率表增加业务描述、逐表详情增加业务描述列和多示例值、总览增加字段对比差异报告")

**DETAILS**:
User wants these enhancements to the generated report (output was `export/dataflow_analysis/dataflow_2026-02-16_215143.md`):

1. **Section 1 总览**: Add "API JSON 字段数" column to the overview table
2. **Section 2.3 覆盖率表**: Add "业务描述" column to each table row
3. **逐表详情 (API/ODS/DWD tables)**: 
   - Add "业务描述" column to all field tables — content should reference docs at `apps/etl/pipelines/feiqiu/docs/database/` (ODS/main/, DWD/main/, ODS/mappings/)
   - Merge "说明" and "示例值" columns — show multiple sample values; for enum fields, explain enum values and their meanings
4. **After all tables done**: Add API↔ODS↔DWD field diff/gap analysis report in Section 1
5. **User question** (incomplete): "我记得除了siteProfile..." — user was about to ask something about siteProfile (likely about which tables have nested objects besides siteProfile that cause unmapped fields)

Work had just begun — I explored the database docs directory structure:
- `apps/etl/pipelines/feiqiu/docs/database/ODS/main/` — 23 BD_manual files with field-level business descriptions
- `apps/etl/pipelines/feiqiu/docs/database/DWD/main/` — 22 BD_manual files
- `apps/etl/pipelines/feiqiu/docs/database/ODS/mappings/` — 23 mapping files (API→ODS field mappings)

No code changes were made yet for this task.

**NEXT STEPS**:
- The changes needed are primarily in the **hook prompt** (`.kiro/hooks/dataflow-analyze.kiro.hook`) — update to instruct agent to:
  1. Read `apps/etl/pipelines/feiqiu/docs/database/ODS/main/` and `DWD/main/` docs for business descriptions
  2. Add JSON field count column to overview table
  3. Add business description column to 2.3 coverage table
  4. Add business description column to all per-table field tables
  5. Merge 说明+示例值 columns with multiple samples and enum explanations
  6. Generate field diff report in section 1 after all tables are processed
- May also need to enhance `dataflow_analyzer.py` to:
  - Collect multiple sample values per field (currently only stores 1 sample in `FieldInfo.sample`)
  - Detect enum fields (fields with small cardinality of distinct values)
  - Include JSON field count in manifest data
- The `collection_manifest.json` already has `json_to_ods` data in field_mappings but the manifest summary doesn't include JSON field counts per table — need to add this
- Consider whether to also enhance the Python script to parse BD_manual docs and include business descriptions in the JSON output, or leave that to the agent at report generation time

**FILEPATHS**:
- `.kiro/hooks/dataflow-analyze.kiro.hook`
- `scripts/ops/dataflow_analyzer.py`
- `export/dataflow_analysis/dataflow_2026-02-16_215143.md` (current output to improve)
- `apps/etl/pipelines/feiqiu/docs/database/ODS/main/` (23 BD_manual files)
- `apps/etl/pipelines/feiqiu/docs/database/DWD/main/` (22 BD_manual files)
- `apps/etl/pipelines/feiqiu/docs/database/ODS/mappings/` (23 mapping files)

---

## 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/`
- Reference `apps/etl/pipelines/feiqiu/docs/database/` docs for business field descriptions — can cross-reference ODS↔DWD
- The report is generated by a 2-phase process: Python script collects data → Hook triggers agent to assemble Markdown report
- The old doc format (`docs/reports/dataflow_api_ods_dwd.md`) is the reference for anchor link style and field mapping columns
- `apps/etl/pipelines/feiqiu/tasks/dwd/dwd_load_task.py` contains `TABLE_MAP` and `FACT_MAPPINGS` — the source of truth for ODS→DWD mappings
- User's incomplete question about "siteProfile" likely relates to which tables have nested JSON objects causing unmapped payload-only fields

## Key Architecture Context:
- `dataflow_analyzer.py` — core collection module (API fetch, JSON flatten, DB schema query, field mapping build)
- `analyze_dataflow.py` — CLI entry point
- `dataflow-analyze.kiro.hook` — userTriggered hook that runs the script then instructs agent to build report
- Output goes to `SYSTEM_ANALYZE_ROOT` env var (or `export/dataflow_analysis/`)
- `gen_full_dataflow_doc.py` — older standalone script that generated the old doc format (reference only)

## Files to read:
- `scripts/ops/dataflow_analyzer.py`
- `.kiro/hooks/dataflow-analyze.kiro.hook`
- `export/dataflow_analysis/dataflow_2026-02-16_215143.md`
- `apps/etl/pipelines/feiqiu/docs/database/ODS/main/BD_manual_assistant_accounts_master.md`
- `apps/etl/pipelines/feiqiu/docs/database/DWD/main/BD_manual_dim_assistant.md`
- `tests/test_dataflow_analyzer.py`
- `docs/reports/dataflow_api_ods_dwd.md`

USER QUERIES(most recent first):
1. 这时更新后，输出的文档export\dataflow_analysis\dataflow_2026-02-16_215143.md，继续完善：- 1.总览 章节，增加API的Json字段数。- 2.3各表 JSON→ODS 映射覆盖率：增加表的业务描述。- 各个逐表详情 API 源字段表、ODS 表结构、DWD 表结构：1、均增加业务描述列，内容上，强烈建议这个方面查阅apps\etl\pipelines\feiqiu\docs\database下的文档可跨ODS DWD联想。2、说明字段和示例值合并，示例值要多列举几个示例，如果是枚举值则说明枚举值以及对应效。内容上，强烈建议这个方面查阅apps\etl\pipelines\feiqiu\docs\database下的文档可跨ODS DWD联想。- 文档都完成后，理解文档内容，在1. 总览 张杰 增加API ODS DWD 的字段对比差异报告。问题：我记得除了siteProfile
2. Output:
Command executed successfully with no output.

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

Exit Code: 0
4. 这时更新后，输出的文档export\dataflow_analysis\dataflow_2026-02-16_215143.md，继续完善：- 1.总览 章节，增加API的Json字段数。- 2.3各表 JSON→ODS 映射覆盖率：增加表的业务描述。- 各个逐表详情 API 源字段表、ODS 表结构、DWD 表结构：1、均增加业务描述列，内容上，强烈建议这个方面查阅apps\etl\pipelines\feiqiu\docs\database下的文档可跨ODS DWD联想。2、说明字段和示例值合并，示例值要多列举几个示例，如果是枚举值则说明枚举值以及对应效。内容上，强烈建议这个方面查阅apps\etl\pipelines\feiqiu\docs\database下的文档可跨ODS DWD联想。- 文档都完成后，理解文档内容，在1. 总览 张杰 增加API ODS DWD 的字段对比差异报告。问题：我记得除了siteProfile
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. 继续。
9. Output:
Command executed successfully with no output.

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

Exit Code: 0
11. 5c6f4c77-90f0-48cc-b5c8-b3d7d5f76423 的对话，执行完SPEC后，生成了hooks和py脚本。最终输出文档（新文档）：export\dataflow_analysis\dataflow_2026-02-16_203935.md。这个是优化前的文档（旧文档）：`​docs/reports/dataflow_api_ods_dwd.md`。能保持新文档数据全面性的基础上，加上旧文档中表格里的字段上下游映射列，以及字段的直接链接点击跳转么？更新脚本和HOOKS
---

METADATA:
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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
```