test(wave178): ai_parsing AI解析配置 +53测 #1132

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wave178: ai_parsing AI解析配置单测

  • 模块:domain/ai_parsing.py
  • 新增测试:53个
  • 覆盖:AI解析配置、参数校验、结果解析等纯逻辑
  • 本地验证:ruff + black + pytest 全绿
## wave178: ai_parsing AI解析配置单测 - 模块:domain/ai_parsing.py - 新增测试:53个 - 覆盖:AI解析配置、参数校验、结果解析等纯逻辑 - 本地验证:ruff + black + pytest 全绿
xiaoxia added 1 commit 2026-07-29 13:44:16 +08:00
test(wave178): ai_parsing AI响应解析 +53测
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项目 详情
PR号 #1132
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🚀 **预览环境已部署** | 项目 | 详情 | |------|------| | PR号 | #1132 | | 预览链接 | [https://pr-1132.preview.xiaoxiajianji.com](https://pr-1132.preview.xiaoxiajianji.com) | | API环境 | staging | > 💡 预览环境使用 staging API 数据,请勿在预览环境中操作重要数据。 > > 🔄 每次提交新代码后预览环境会自动更新。 > > 🗑️ PR 关闭或合并后,预览环境会自动清理。
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【阻塞级判定】

  • 是否存在阻塞级问题:否
  • 阻塞级问题数量:0 个

📊 审查概览

  • 整体评价:通过
  • 建议级问题数量:2 个

🔴 阻塞级问题(必须修复)

💡 改进建议(不阻塞合并)

  1. [tests/unit/domain/test_ai_parsing.py]test_score_is_rounded_to_3_decimals 方法优化

    • 具体内容:该方法使用 str(...).split(".")[-1] 来检查小数位数。虽然对于常规情况能工作,但在处理浮点数时存在脆弱性(例如遇到科学计数法或精度边界时)。建议使用数学比较方式 assert result[0]["match_score"] == round(result[0]["match_score"], 3) 来直接验证数值精度,更加严谨可靠。
  2. [tests/unit/domain/test_ai_parsing.py]test_invalid_json_falls_back_to_line_parse 断言增强

    • 具体内容:当前测试仅断言 len(result) >= 1,这只能验证函数未崩溃且返回了非空列表,无法有效证明“按行解析”的回退逻辑是否正确执行(例如,若实现错误地返回了 ["dummy"],测试也会通过)。建议增加对返回内容的具体断言,如验证结果列表中是否包含输入字符串的特定片段,以确保回退逻辑确实在处理文本。

良好实践

  • 测试可复现性:在 TestGenerateTitlesFallback 中使用 patch.object(random, "shuffle", ...) 锁定了随机性,保证了单元测试的稳定输出,值得肯定。
  • 覆盖度全面:测试用例覆盖了多种边界情况(空值、超长字符串、非法JSON、中英文混合、不同标点符号格式),有助于提高代码健壮性。
  • 副作用检查:包含 test_asset_dict_not_mutated 测试,验证了函数未修改输入参数,符合纯函数/无副作用的最佳实践。

🤖 由 AI 代码审查机器人自动生成 | 2026-07-29 05:52:21 | 模型:

### 【阻塞级判定】 - 是否存在阻塞级问题:否 - 阻塞级问题数量:0 个 ### 📊 审查概览 - 整体评价:通过 - 建议级问题数量:2 个 ### 🔴 阻塞级问题(必须修复) 无 ### 💡 改进建议(不阻塞合并) 1. **[tests/unit/domain/test_ai_parsing.py]`test_score_is_rounded_to_3_decimals` 方法优化** - 具体内容:该方法使用 `str(...).split(".")[-1]` 来检查小数位数。虽然对于常规情况能工作,但在处理浮点数时存在脆弱性(例如遇到科学计数法或精度边界时)。建议使用数学比较方式 `assert result[0]["match_score"] == round(result[0]["match_score"], 3)` 来直接验证数值精度,更加严谨可靠。 2. **[tests/unit/domain/test_ai_parsing.py]`test_invalid_json_falls_back_to_line_parse` 断言增强** - 具体内容:当前测试仅断言 `len(result) >= 1`,这只能验证函数未崩溃且返回了非空列表,无法有效证明“按行解析”的回退逻辑是否正确执行(例如,若实现错误地返回了 `["dummy"]`,测试也会通过)。建议增加对返回内容的具体断言,如验证结果列表中是否包含输入字符串的特定片段,以确保回退逻辑确实在处理文本。 ### ✅ 良好实践 - **测试可复现性**:在 `TestGenerateTitlesFallback` 中使用 `patch.object(random, "shuffle", ...)` 锁定了随机性,保证了单元测试的稳定输出,值得肯定。 - **覆盖度全面**:测试用例覆盖了多种边界情况(空值、超长字符串、非法JSON、中英文混合、不同标点符号格式),有助于提高代码健壮性。 - **副作用检查**:包含 `test_asset_dict_not_mutated` 测试,验证了函数未修改输入参数,符合纯函数/无副作用的最佳实践。 --- <sub>🤖 由 AI 代码审查机器人自动生成 | 2026-07-29 05:52:21 | 模型: </sub> <!-- AI_CODE_REVIEW_AUTO_COMMENT -->
xiaoxia closed this pull request 2026-07-29 14:28:35 +08:00

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🗑️ **预览环境已清理** PR #1132 已关闭或合并,对应的预览环境已被清理。 > 如有需要,可以重新打开 PR 来重新生成预览环境。
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