Extract three internal helpers to reduce the main function from ~330 lines to ~80 lines: - _process_item(): handles per-item extract/summarize/filter/build - _build_and_persist_delivery(): builds payload and persists keyword index - _build_run_report(): assembles status counts and run report dict No behavior changes. External signature and return shape unchanged.
18 lines
1.3 KiB
Markdown
18 lines
1.3 KiB
Markdown
# 代码审查建议(2026-03-28)
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## 立即可改(低成本)
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- [x] `server.py` context 通过临时文件传递绕路 — `run_freshrss_pipeline` 改为同时接受 `dict | Path` 类型的 context,消除 `NamedTemporaryFile` 绕路(已修复)
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- [ ] `_load_required_env` 报错信息不区分"未传参数"还是"环境变量未设",改善调试体验
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- [x] `evaluate_filter_rules` 决策逻辑歧义 — `stop_on_match=True` 命中后应直接以该规则 decision 为最终结果,而非继续聚合所有 matched(已确认:当前规则集安全,在 filter-rule-engine-usage.md 补充了 drop 规则必须设 stop_on_match=true 的约束说明)
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## 重构建议(中等成本)
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- [x] `run_freshrss_pipeline` 函数过长(约300行)— 拆分为 `_process_item()`、`_build_and_persist_delivery()`、`_build_run_report()` 三个内部函数,主函数只做编排(已完成)
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- [ ] `load_filter_rules` 每次 pipeline 调用都重新读文件 — 加模块级缓存,MCP 服务长期运行时避免重复 I/O
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## 功能补全
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- [ ] `mark_read` 只标记 delivered items,drop/review 的 item 下次仍会重复拉取 — 引入 `mark_read_all_processed` 选项,或在报告中明确标注
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- [ ] LLM 调用逐条串行 — 考虑用 `asyncio` + `httpx.AsyncClient` 并发处理多条 item,减少整体延迟
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