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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>
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
"""Tests for the unified target-position write path."""
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from app.optimization_models import TargetPositionRequest
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def test_target_position_request_validation():
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request = TargetPositionRequest(target_position=" 数据分析师 ")
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assert request.target_position == " 数据分析师 "
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def test_set_target_position_updates_profile():
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from app.optimization_flow import OptimizationFlowMixin
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class FakeDatabase:
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def __init__(self):
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self.session = {
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"id": "s1",
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"stage": "RESUME_ENRICHING",
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"revision": 3,
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"profile": {"job_type": "校招"},
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"draft_id": None,
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"resume_id": "r1",
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}
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def transaction(self, immediate=False):
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class Context:
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def __enter__(self_inner):
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return object()
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def __exit__(self_inner, *args):
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return False
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return Context()
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def update_session(self, connection, session_id, *, stage, profile, **kwargs):
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self.session["profile"] = profile
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return self.session
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class Service(OptimizationFlowMixin):
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pass
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service = Service()
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service.database = FakeDatabase()
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service._session_or_404 = lambda connection, session_id: service.database.session
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result = service.set_target_position("s1", " 数据分析师 ")
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assert result == {
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"target_position": "数据分析师",
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"target_position_confirmed": True,
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}
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assert service.database.session["profile"]["target_position"] == "数据分析师"
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assert service.database.session["profile"]["target_position_confirmed"] is True
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assert service.database.session["profile"]["job_type"] == "校招"
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