- [P20260217-013236] 2026-02-17 01:32:36 +0800
  - summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Enhance d…
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```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 (from previous conversation — "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**: Completed in previous conversation. Added `dwd_tables`, `parse_table_map()`, `parse_fact_mappings()`, `build_field_mappings()` to `dataflow_analyzer.py`. Updated hook to v2.0. All 45 tests passed.

**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**: 2-4 (continuing from previous conversation)

**DETAILS**:
- Enhanced `dataflow_analyzer.py`:
  - Added `samples: list[str]` field to `FieldInfo` dataclass with `MAX_SAMPLES = 8`
  - Updated `_recurse_json()` and `flatten_json_tree()` to collect multiple distinct sample values per field
  - Added `json_field_count` to manifest per-table data
  - Added `parse_bd_manual_fields()` — parses BD_manual Markdown docs extracting `{field_name -> description}` from "## 字段说明" tables
  - Added `load_bd_descriptions()` — loads ODS + all DWD BD_manual descriptions for a table
  - Added `dump_bd_descriptions()` — outputs `bd_descriptions/{table}.json` with ODS and DWD field descriptions
  - Updated `dump_collection_results()` to call `dump_bd_descriptions()` and return `bd_descriptions` path
- Rewrote `gen_dataflow_report.py` to v3:
  - Overview table has "API JSON 字段数" column
  - Section 1.1: API↔ODS↔DWD field diff report with counts and reasons
  - Section 2.3: Coverage table has "业务描述" column
  - API/ODS/DWD per-table sections all have "业务描述" column from BD_manual docs
  - API section merges 说明+示例值 with enum detection (`_is_enum_like()`) and multi-sample display (`_format_samples()`)
- Updated hook to v3.0.0 — two-phase: `analyze_dataflow.py` → `gen_dataflow_report.py`
- Updated all tests: fixed `FieldInfo` constructors to include `samples`, added 29 new tests
- All 74 tests pass

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

---

## TASK 3: Enhance 1.1 field diff report with clickable field names, detail sub-tables, and bold formatting for unmapped rows

**STATUS**: in-progress

**USER QUERIES**: 5 ("在 1.1 API↔ODS↔DWD 字段对比差异 表格中，将差异统计数改为 差异统计数+ 差异字段。点击字段跳转至逐表详情的对应字段位置。嵌套对象的处理：默认折叠，可以展开。若不支持这样的交互操作，则单独使用分表进行记录，点击跳转分表查看详情。下列分表，出现上下游不对应的字段，将整行内容加粗。")

**DETAILS**:
User wants to enhance the 1.1 field diff summary table:
1. Change from just counts to "count + clickable field names" that jump to per-table detail sections
2. Nested objects: use `<details>` for collapse/expand, or if not supported, use separate sub-tables
3. Below the summary table, add per-table sub-tables listing specific diff fields
4. In sub-tables, rows where fields have no upstream/downstream mapping should be **bold** (entire row)

The current `_write_field_diff_report()` function in `gen_dataflow_report.py` (line 228) only outputs a summary table with counts and reason strings. It needs to be completely rewritten.

I had read the current implementation and the generated report output to understand the current state, but NO code changes were made yet for this task.

**NEXT STEPS**:
- Rewrite `_write_field_diff_report()` in `scripts/ops/gen_dataflow_report.py`:
  - Summary table: each cell shows count + anchor link to per-table sub-table (e.g., `[25](#diff-settlement-records)`)
  - After summary table, generate per-table sub-tables with anchors like `<a id="diff-{table}"></a>`
  - Each sub-table has 4 sections: API→ODS unmapped fields, ODS no JSON source, ODS→DWD unmapped, DWD no ODS source
  - Field names in sub-tables should be clickable links to the corresponding field in section 3 detail tables (using existing anchors like `#api-{table}`, `#ods-{table}`, `#dwd-{dwd_name}`)
  - Nested object fields (containing ".") should be grouped separately — use `<details><summary>` for collapse if Markdown renderer supports it, otherwise separate sub-section
  - Rows where a field has no upstream/downstream mapping: wrap entire row content in `**bold**`
- Add tests for the new sub-table generation in `tests/test_dataflow_analyzer.py`
- Run tests to verify

**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/`
- Reference `apps/etl/pipelines/feiqiu/docs/database/` docs for business field descriptions
- The report is generated by a 2-phase process: Python script collects data → `gen_dataflow_report.py` assembles Markdown report
- Markdown `<details>` tags can be used for collapse/expand, but user said "若不支持则用分表" — prefer `<details>` but have fallback
- ETL meta columns to exclude from diff: `source_file`, `source_endpoint`, `fetched_at`, `payload`, `content_hash`
- This is NOT a high-risk path change (scripts/ops + tests), no `/audit` needed

## Key Architecture Context:
- `dataflow_analyzer.py` — core collection module (API fetch, JSON flatten, DB schema query, field mapping build, BD_manual parsing)
- `analyze_dataflow.py` — CLI entry point
- `gen_dataflow_report.py` — report generator that reads collected JSON data and outputs Markdown
- `dataflow-analyze.kiro.hook` — userTriggered hook, runs analyze then gen_report
- Output goes to `SYSTEM_ANALYZE_ROOT` env var (or `export/dataflow_analysis/`)
- Anchors in report: `api-{table-name}`, `ods-{table-name}`, `dwd-{dwd-short-name}` (underscores replaced with hyphens)
- field_mappings JSON structure: `anchors`, `json_to_ods[]`, `ods_to_dwd{}`, `dwd_to_ods{}`

## Files to read:
- `scripts/ops/gen_dataflow_report.py` — the file that needs changes (specifically `_write_field_diff_report` function)
- `export/dataflow_analysis/dataflow_2026-02-17_011645.md` — current report output showing the 1.1 diff table format (lines 1-80)
- `tests/test_dataflow_analyzer.py` — test file that needs new tests added
- `export/dataflow_analysis/field_mappings/assistant_accounts_master.json` — sample field_mappings JSON to understand data structure
- `scripts/ops/dataflow_analyzer.py` — for understanding the data structures (FieldInfo, ColumnInfo, etc.)

USER QUERIES(most recent first):
1. 在 1.1 API↔ODS↔DWD 字段对比差异 表格中，在将差异统计数改为 差异统计数+ 差异字段。点击字段跳转至逐表详情的对应字段位置。嵌套对象的处理：默认折叠，可以展开。若不支持这样的交互操作，则单独使用分表进行记录，点击跳转分表查看详情。下列分表，出现上下游不对应的字段，将整行内容加粗。
2. Output:
Command executed successfully with no output.

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

Exit Code: 0
4. 在 1.1 API↔ODS↔DWD 字段对比差异 表格中，在将差异统计数改为 差异统计数+ 差异字段。点击字段跳转至逐表详情的对应字段位置。嵌套对象的处理：默认折叠，可以展开。若不支持这样的交互操作，则单独使用分表进行记录，点击跳转分表查看详情。下列分表，出现上下游不对应的字段，将整行内容加粗。
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
---

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.
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```
