generated from kgod/ai-review-template
hypandClaude
ae2d9b128d
自内部仓库剥离深度优化与 RAG 知识库后的交付版本： - Builder 对话式简历生成（FSM + 意图路由 LLM 兜底增强） - 条目级轻度优化：事实覆盖门禁 + STAR/bullet 修复链，功能/简介/成果与技术栈同级保护 - 简历导入：DOCX/PDF 解析、结构归一、手机号脱敏 - PostgreSQL 运行时 + Alembic 迁移链 Co-Authored-By: Claude <noreply@anthropic.com>
112 lines
4.3 KiB
Python
112 lines
4.3 KiB
Python
"""Candidate rewrite guards for the Builder light optimization (截图1/截图2 回归)."""
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from __future__ import annotations
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from typing import Any
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from app.builder_conversation import _candidate_rewrite
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class _StaticExpander:
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def __init__(self, optimized: str) -> None:
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self.optimized = optimized
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def expand(self, entry: dict[str, Any], *, context: dict[str, Any]) -> dict[str, Any]:
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return {"optimized_description": self.optimized, "source": "test"}
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class _Agent:
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def __init__(self, optimized: str) -> None:
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self.expander = _StaticExpander(optimized)
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def test_candidate_rewrite_does_not_inject_identity_into_education_description() -> None:
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"""Identity fields have their own card slots; never merge them into the narrative (截图2)."""
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proposal = _candidate_rewrite(
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_Agent("在学校中学习数据结构、计算机视觉等课程。"),
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{"job_type": "campus"},
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{
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"school": "东莞城市学院",
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"major": "软件工程",
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"degree": "本科",
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"description": "在学校中学习数据结构、计算机视觉等课程。",
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},
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"education",
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)
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assert proposal["optimized_description"] == "在学校中学习数据结构、计算机视觉等课程。"
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assert "东莞城市学院" not in proposal["optimized_description"]
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def test_candidate_rewrite_reports_uncovered_facts_without_appending() -> None:
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"""Uncovered user facts are reported, not stitched onto the candidate (截图1 关键词尾巴)."""
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proposal = _candidate_rewrite(
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_Agent("完成数据库课程项目并参与实验室实践。"),
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{"job_type": "campus", "target_position": "backend engineer"},
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{"description": "完成数据库课程项目。GPA: 4.3/5.0，排名前百分之10。"},
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"education",
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)
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assert proposal["optimized_description"] == "完成数据库课程项目并参与实验室实践。"
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assert proposal["uncovered_facts"] == ["GPA: 4.3/5.0", "排名前百分之10"]
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def test_candidate_rewrite_reports_other_uncovered_user_facts() -> None:
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original = (
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"完成数据库课程项目，使用 Python 和 SQL 实现信息查询。"
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"获得校级一等奖学金，服务 300 名学生。"
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)
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proposal = _candidate_rewrite(
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_Agent("参与学习与实践活动。"),
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{"job_type": "campus"},
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{"description": original},
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"education",
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)
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assert proposal["optimized_description"] == "参与学习与实践活动。"
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for fact in ("完成数据库课程项目", "Python", "SQL", "获得校级一等奖学金", "服务 300 名学生"):
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assert fact in proposal["uncovered_facts"]
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def test_candidate_rewrite_reports_no_uncovered_facts_when_candidate_covers_all() -> None:
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proposal = _candidate_rewrite(
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_Agent("完成数据库课程项目。GPA: 4.3/5.0。"),
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{"job_type": "campus"},
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{"description": "完成数据库课程项目。GPA: 4.3/5.0。"},
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"education",
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)
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assert proposal["uncovered_facts"] == []
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def test_candidate_rewrite_reports_dropped_function_modules() -> None:
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"""功能模块/平台简介被吞时必须进入未覆盖报告（只保留技术栈不算覆盖）。"""
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original = (
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"全栈 AI 求职助手平台，包含 5 大功能模块：\n"
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"1. AI 对话式简历生成助手\n"
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"2. 简历导入 (PDF/DOCX 智能解析)\n"
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"技术栈: Next.js + React"
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)
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proposal = _candidate_rewrite(
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_Agent("• 前端采用 Next.js 与 React 实现响应式界面。"),
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{"job_type": "campus"},
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{"description": original},
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"project_experience",
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)
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assert any("AI 对话式简历生成助手" in fact for fact in proposal["uncovered_facts"])
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assert any("简历导入" in fact for fact in proposal["uncovered_facts"])
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assert not any("Next.js" in fact for fact in proposal["uncovered_facts"])
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def test_candidate_rewrite_tolerates_covered_fragments_without_false_positives() -> None:
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original = "1. AI 对话式简历生成助手\n2. 简历导入智能解析"
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proposal = _candidate_rewrite(
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_Agent("负责 AI 对话式简历生成助手与简历导入智能解析两大模块。"),
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{"job_type": "campus"},
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{"description": original},
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"project_experience",
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)
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assert proposal["uncovered_facts"] == []
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