在前后端开发联调前的提交20260223

2026-02-23 23:02:20 +08:00
parent 254ccb1e77
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--- a/docs/audit/prompt_logs/prompt_log_20260220_010232.md
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+- [P20260220-010232] 2026-02-20 01:02:32 +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 (data collection + report generation)
+
+**STATUS**: done
+
+**USER QUERIES**: 1 ("执行数据流结构分析，按以下步骤完成")
+
+**DETAILS**:
+- Phase 1 (Data Collection): Cleared all historical analysis results from `export/SYSTEM/REPORTS/dataflow_analysis/` (12 old reports, json_trees, db_schemas, field_mappings, bd_descriptions, manifest). Ran `python scripts/ops/analyze_dataflow.py` successfully.
+  - 23 ODS tables analyzed, all successful, 0 failures
+  - 3,395 total records collected
+  - API date range: 2025-11-22 ~ 2026-02-20 (adaptive expansion to 90 days)
+  - Files landed: json_trees(23), db_schemas(63), field_mappings(23), bd_descriptions(23), collection_manifest.json
+- Phase 2 (Report Generation): Ran `python scripts/ops/gen_dataflow_report.py` successfully.
+  - Output: `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_005219.md`
+  - Size: 568.6 KB, 4,839 lines
+  - All 7 content checks passed: date range, JSON field count column, field diff report (1.1), coverage table, business descriptions, multi-sample values, anchor links
+- Note: There were issues with PowerShell command queue causing `analyze_dataflow.py` to be triggered multiple times, but final results are clean and correct.
+
+**FILEPATHS**:
+- `scripts/ops/analyze_dataflow.py`
+- `scripts/ops/gen_dataflow_report.py`
+- `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_005219.md`
+- `export/SYSTEM/REPORTS/dataflow_analysis/collection_manifest.json`
+
+---
+
+## TASK 2: Compare dataflow report with field_review_for_user.md on field addition plans
+
+**STATUS**: in-progress
+
+**USER QUERIES**: 2 ("将dataflow报告同field_review_for_user.md对比。告诉我在字段新增方案方面的异同")
+
+**DETAILS**:
+- User wants a comparison between two reports regarding field addition/mapping plans:
+  1. `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_005219.md` — the freshly generated dataflow structure analysis report
+  2. `export/SYSTEM/REPORTS/field_audit/field_review_for_user.md` — the field audit review document (1,211 lines)
+- Both files have been fully read into context:
+  - `field_review_for_user.md`: Read completely (lines 1-1211). Covers 12 ODS tables with detailed ODS/DWD column listings, "待新增/补映射字段" and "跳过字段" sections per table.
+  - `dataflow_2026-02-20_005219.md`: Read first 200 lines covering the summary table (section 1) and the 1.1 field diff report (API↔ODS↔DWD differences). The per-table diff details were partially read.
+- The `field_investigation_report.md` (deep investigation report) was also loaded in the initial context, providing the authoritative decisions behind field_review_for_user.md.
+
+**Key data already gathered for comparison**:
+
+From `field_review_for_user.md` (field audit), the field addition plan covers:
+- **A类 (existing DWD tables, add columns + FACT_MAPPINGS)**: 
+  - `assistant_accounts_master` → 4 fields (system_role_id, job_num, cx_unit_price, pd_unit_price) → dim_assistant_ex
+  - `assistant_service_records` → 2 fields (operator_id, operator_name) → dwd_assistant_service_log_ex
+  - `assistant_cancellation_records` → 1 field (assistanton → assistant_no_int) → dwd_assistant_trash_event_ex
+  - `member_balance_changes` → 1 field (relate_id) → dwd_member_balance_change_ex
+  - `site_tables_master` → 14 fields → dim_table_ex
+  - `store_goods_master` → 1 field (batch_stock_quantity) → dim_store_goods_ex
+- **B类 (only add FACT_MAPPINGS, DWD columns already exist)**:
+  - `recharge_settlements` → 5 fields (plcouponsaleamount, mervousalesamount, electricitymoney, realelectricitymoney, electricityadjustmoney)
+- **C类 (new DWD tables needed)**:
+  - `goods_stock_summary` → 14 fields → new dwd_goods_stock_summary
+  - `goods_stock_movements` → 19 fields → new dwd_goods_stock_movement
+  - `settlement_ticket_details` → ~38 fields → new dwd_settlement_ticket + _ex
+- **Skipped**: discount_price (store_goods_sales_records), commoditycode (tenant_goods_master), provisional_total_cost (store_goods_master), time_slot_sale (ODS doesn't exist)
+
+From `dataflow_2026-02-20_005219.md` (dataflow analysis), the 1.1 diff table shows:
+- `assistant_accounts_master`: ODS→DWD unmapped = 4, DWD no ODS source = 8 (SCD2)
+- `assistant_service_records`: ODS→DWD unmapped = 4 (not 2 as in field_review)
+- `assistant_cancellation_records`: ODS→DWD unmapped = 2
+- `store_goods_sales_records`: ODS→DWD unmapped = 1
+- `member_balance_changes`: ODS→DWD unmapped = 1, DWD no ODS source = 1
+- `recharge_settlements`: ODS→DWD unmapped = 5, DWD no ODS source = 5
+- `site_tables_master`: ODS→DWD unmapped = 14, DWD no ODS source = 8 (SCD2)
+- `store_goods_master`: ODS→DWD unmapped = 2, DWD no ODS source = 8 (SCD2)
+- `goods_stock_summary`: ODS→DWD unmapped = 14 (no DWD table)
+- `goods_stock_movements`: ODS→DWD unmapped = 19 (no DWD table)
+- `settlement_ticket_details`: ODS→DWD unmapped = 38 (no DWD table)
+- `tenant_goods_master`: ODS→DWD unmapped = 1, DWD no ODS source = 8 (SCD2)
+
+**NEXT STEPS**:
+- Need to read more of the dataflow report's per-table diff details (beyond line 200) to get the specific field names it flags as unmapped, especially for tables where counts differ from field_review
+- Key discrepancy to investigate: `assistant_service_records` shows 4 ODS→DWD unmapped in dataflow vs 2 in field_review — need to see which extra 2 fields the dataflow report flags
+- Produce the actual comparison analysis for the user, organized by table, highlighting:
+  1. Fields both reports agree need adding
+  2. Fields only dataflow report flags (field_review skipped or missed)
+  3. Fields only field_review flags (dataflow report missed)
+  4. Differences in recommended actions (e.g., "new column" vs "just add FACT_MAPPINGS")
+
+**FILEPATHS**:
+- `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_005219.md`
+- `export/SYSTEM/REPORTS/field_audit/field_review_for_user.md`
+- `export/SYSTEM/REPORTS/field_audit/field_investigation_report.md`
+
+---
+
+## USER CORRECTIONS AND INSTRUCTIONS:
+- All output text must be in simplified Chinese (language-zh.md steering)
+- Output paths must come from `.env` environment variables, never hardcoded (export-paths.md steering)
+- Python scripts preferred over PowerShell for complex operations (tech.md steering)
+- This is a read-only analysis/comparison task — no code changes involved, so no audit needed
+- The user is focused on `field_review_for_user.md` in the editor
+
+---
+
+## Files to read
+- `export/SYSTEM/REPORTS/dataflow_analysis/dataflow_2026-02-20_005219.md` (start from line 1, read section 1.1 diff details — especially lines 50-500 for the per-table diff breakdowns, then search for specific tables like assistant_service_records, store_goods_sales_records, recharge_settlements, site_tables_master, store_goods_master, tenant_goods_master)
+- `export/SYSTEM/REPORTS/field_audit/field_review_for_user.md` (full file, 1211 lines — the field audit review with per-table new field plans)
+- `export/SYSTEM/REPORTS/field_audit/field_investigation_report.md` (the deep investigation report with authoritative decisions — especially the "全局汇总" section near the end and per-table "最终决策" entries)
+
+USER QUERIES(most recent first):
+1. 好的，将export\SYSTEM\REPORTS\dataflow_analysis\dataflow_2026-02-20_005219.md此文件同export\SYSTEM\REPORTS\field_audit\field_review_for_user.md对比。告诉我在字段新增方案方面的异同
+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，将export\SYSTEM\REPORTS\dataflow_analysis\dataflow_2026-02-20_005219.md此文件同export\SYSTEM\REPORTS\field_audit\field_review_for_user.md对比。告诉我在字段新增方案方面的异同
+5. <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: 
+</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
+   - 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
+
+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。
+6. <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 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
+```