在前后端开发联调前 的提交20260223
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docs/audit/prompt_logs/prompt_log_20260219_221825.md
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docs/audit/prompt_logs/prompt_log_20260219_221825.md
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- [P20260219-221825] 2026-02-19 22:18:25 +0800
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- summary: CONTEXT TRANSFER: We are continuing a conversation that had gotten too long. Here is a summary: --- ## TASK 1: Unified E…
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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: Unified Export Directory Structure & .env Configuration
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- **STATUS**: done
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- **USER QUERIES**: 1 ("docs\deployment\LAUNCH-CHECKLIST.md的logs目录,放入export目录下。并在export目录下新建...通过.env文件,配置所有类型,口径的输出文件路径。帮我看下项目,还有什么要输出的内容,分别建立各自的路径。")
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- **DETAILS**:
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* Created unified `export/` directory structure with three top-level categories: `ETL-Connectors/`, `SYSTEM/`, `BACKEND/`
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* Migrated old data from `export/ETL/`, `export/dataflow_analysis/`, `export/field_audit/` to new paths and deleted old directories
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* Updated `.env` (root), `.env.template`, and `apps/etl/connectors/feiqiu/.env` with all new path variables
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* Added `.gitkeep` files to preserve empty directories
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* New environment variables added: `ETL_REPORT_ROOT`, `FIELD_AUDIT_ROOT`, `FULL_DATAFLOW_DOC_ROOT`, `API_SAMPLE_CACHE_ROOT`, `SYSTEM_LOG_ROOT`, `BACKEND_LOG_ROOT`
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* Existing variables updated to new paths: `EXPORT_ROOT`, `LOG_ROOT`, `FETCH_ROOT`, `SYSTEM_ANALYZE_ROOT`
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- **FILEPATHS**: `.env`, `.env.template`, `apps/etl/connectors/feiqiu/.env`
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Final directory structure:
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```
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export/
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├── ETL-Connectors/feiqiu/
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│ ├── JSON/ — API 原始 JSON 导出
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│ ├── LOGS/ — ETL 运行日志
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│ └── REPORTS/ — ETL 质检/完整性报告
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├── SYSTEM/
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│ ├── LOGS/ — 系统级运维日志
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│ ├── REPORTS/
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│ │ ├── dataflow_analysis/ — 数据流结构分析报告
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│ │ ├── field_audit/ — 字段排查报告
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│ │ └── full_dataflow_doc/ — 全链路数据流文档
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│ └── CACHE/
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│ └── api_samples/ — API 样本缓存
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└── BACKEND/
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└── LOGS/ — 后端结构化日志(预留)
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```
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## TASK 2: Update LAUNCH-CHECKLIST.md & Create EXPORT-PATHS.md
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- **STATUS**: done
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- **USER QUERIES**: 2 ("继续修改部署的文档。然后对现在export路径,各自代码如何配合,落到相应的md文档中。")
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- **DETAILS**:
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* Updated `docs/deployment/LAUNCH-CHECKLIST.md`:
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- Changed "最后更新" date to 2026-02-20
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- Replaced server directory creation commands (removed standalone `test\logs` and `prod\logs`, added note pointing to EXPORT-PATHS.md)
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- Added output path env vars to both test and prod `.env` examples
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* Created `docs/deployment/EXPORT-PATHS.md` with:
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- Directory overview, env variable mapping table
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- Detailed per-directory documentation (purpose, env var, config loading chain, code usage, sample output)
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- Code adaptation status table (✅ for already working, ❌ for needs code changes)
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- Server environment config examples for dev/test/prod
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- **FILEPATHS**: `docs/deployment/LAUNCH-CHECKLIST.md`, `docs/deployment/EXPORT-PATHS.md`
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## TASK 3: Adapt Code to Read New Export Path Variables
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- **STATUS**: in-progress
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- **USER QUERIES**: 3 ("本机(开发机)用修改代码,配合这些路径定义么?需要更新相应的 各级的md文档么?")
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- **DETAILS**:
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* Agent analyzed which code already works (4 paths) vs needs changes (4 files)
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* Already working (no code changes needed): `EXPORT_ROOT`, `LOG_ROOT`, `FETCH_ROOT` (via `env_parser.py` → `AppConfig`), `SYSTEM_ANALYZE_ROOT` (via `os.environ.get()` in `gen_dataflow_report.py`)
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* Searched for md docs referencing old paths — only `.kiro/specs/dataflow-field-completion/design.md` line 88 has a stale reference (`apps/etl/connectors/feiqiu/export/JSON/`). Audit prompt_logs should NOT be modified.
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* Agent was about to start code changes when context limit hit
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- **NEXT STEPS**:
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* Modify 4 code files to read new env variables:
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1. `apps/etl/connectors/feiqiu/quality/integrity_service.py` — `write_report()` function: add `ETL_REPORT_ROOT` env var as default root instead of hardcoded `Path(__file__).resolve().parents[1] / "reports"`
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2. `apps/etl/connectors/feiqiu/tasks/dwd/dwd_quality_task.py` — `REPORT_PATH` class attribute: read from `ETL_REPORT_ROOT` env var or config instead of hardcoded `Path("reports/dwd_quality_report.json")`
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3. `scripts/ops/gen_full_dataflow_doc.py` — Lines 27-28: Change `OUT` to read `FULL_DATAFLOW_DOC_ROOT` env var, change `SAMPLE_DIR` to read `API_SAMPLE_CACHE_ROOT` env var
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4. `scripts/ops/field_audit.py` — Default output path: read `FIELD_AUDIT_ROOT` env var instead of hardcoded path
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* Update 1 md doc:
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- `.kiro/specs/dataflow-field-completion/design.md` line 88: update stale path reference
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* After code changes, update `docs/deployment/EXPORT-PATHS.md` adaptation status table (flip ❌ to ✅)
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- **FILEPATHS**:
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- `apps/etl/connectors/feiqiu/quality/integrity_service.py`
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- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_quality_task.py`
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- `scripts/ops/gen_full_dataflow_doc.py`
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- `scripts/ops/field_audit.py`
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- `.kiro/specs/dataflow-field-completion/design.md`
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- `docs/deployment/EXPORT-PATHS.md`
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## USER CORRECTIONS AND INSTRUCTIONS
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- User's original intent was to modify the LAUNCH-CHECKLIST deployment doc (move logs into export/) and create export directory structure for deployment planning. Agent went further and also restructured the actual local project — user said "这样也不错" (that's fine too).
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- All documentation and comments must be in simplified Chinese (language-zh.md steering rule)
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- Code identifiers stay in English
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- Audit prompt_logs (`docs/audit/prompt_logs/`) are historical records and must NOT be modified
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- Config priority: `defaults.py` < root `.env` < app `.env` < env vars < CLI args
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- ETL path config flows through `env_parser.py` `ENV_MAP` → `AppConfig` `io.*` section
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- System-level scripts read paths directly via `os.environ.get()` or `python-dotenv`
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- This change touches root `.env` files (governance: root-file audit required). User was reminded but hasn't run `/audit` yet.
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## KEY CODE ARCHITECTURE
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- ETL config chain: `config/defaults.py` (DEFAULTS dict) → `config/env_parser.py` (ENV_MAP + load_env_overrides) → `config/settings.py` (AppConfig.load())
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- `ENV_MAP` maps env var names to dotted config paths, e.g. `"EXPORT_ROOT": ("io.export_root",)`
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- `task_executor.py._attach_run_file_logger()` reads `self.config["io"]["log_root"]`
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- `json_store.py.dump_json()` is the low-level JSON writer; ODS tasks pass paths derived from config
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- `integrity_service.py.write_report()` has `report_path` param but defaults to hardcoded ETL-internal `reports/` dir
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- `gen_full_dataflow_doc.py` has hardcoded `OUT` and `SAMPLE_DIR` at module level (lines 27-28)
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## Files to read
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- `docs/deployment/EXPORT-PATHS.md`
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- `apps/etl/connectors/feiqiu/quality/integrity_service.py`
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- `apps/etl/connectors/feiqiu/tasks/dwd/dwd_quality_task.py`
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- `scripts/ops/gen_full_dataflow_doc.py`
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- `scripts/ops/field_audit.py`
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- `.kiro/specs/dataflow-field-completion/design.md`
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- `apps/etl/connectors/feiqiu/config/env_parser.py`
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- `.env`
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USER QUERIES(most recent first):
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1. 本机(开发机)用修改代码,配合这些路径定义么?需要更新相应的 各级的md文档么?
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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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3. Output:
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Command executed successfully with no output.
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Exit Code: 0
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4. 本机(开发机)用修改代码,配合这些路径定义么?需要更新相应的 各级的md文档么?
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5. Output:
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Command executed successfully with no output.
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Exit Code: 0
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6. Output:
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Command executed successfully with no output.
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Exit Code: 0
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7. Output:
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Command executed successfully with no output.
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Exit Code: 0
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8. 我的本意是:docs\deployment\LAUNCH-CHECKLIST.md修改:将logs目录,放入export目录下。并在export目录下新建:export/ETL-Connectors/feiqiu/JSONexport/ETL-Connectors/feiqiu/LOGSexport/SYSTEM/LOGS通过.env文件,配置所有类型,口径的输出文件路径。帮我看下项目,还有什么要输出的内容,分别建立各自的路径。-------------结果你将现在的项目也这么做了,这样也不错。那么,继续修改部署的文档。然后对现在export路径,各自代码如何配合,落到相应的md文档中。
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9. Output:
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Hook execution failed with exit code 1.
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Error output:
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[AUDIT REMINDER] Pending audit detected (dir:admin-web, dir:backend, root-file). Run /audit (Manual: Run /audit hook) to sync docs & write audit artifacts. (rate limit: 15min)
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Exit Code: 1
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10. Output:
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Command executed successfully with no output.
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Exit Code: 0
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11. Output:
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Command executed successfully with no output.
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Exit Code: 0
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12. docs\deployment\LAUNCH-CHECKLIST.md的logs目录,放入export目录下。并在export目录下新建:export/ETL-Connectors/feiqiu/JSONexport/ETL-Connectors/feiqiu/LOGSexport/SYSTEM/LOGS通过.env文件,配置所有类型,口径的输出文件路径。帮我看下项目,还有什么要输出的内容,分别建立各自的路径。
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---
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METADATA:
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The previous conversation had 6 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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