generated from kgod/ai-review-template
feat: builder 简历生成 + 轻度优化 + 简历导入交付副本
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>
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from __future__ import annotations
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import os
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from uuid import uuid4
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from fastapi.testclient import TestClient
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from sqlalchemy import create_engine, text
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from app.main import create_app
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from app.postgres_database import PostgresDatabase
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from app.services import RuleBasedEntryExpander, RuleBasedExperienceExtractor, RuleBasedResumeRewriter
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from app.settings import Settings
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def test_create_app_uses_postgres_when_database_path_is_not_supplied(monkeypatch) -> None:
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schema = f"test_runtime_{uuid4().hex}"
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database_url = os.environ["RESUME_AGENT_TEST_DATABASE_URL"]
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monkeypatch.setenv("RESUME_AGENT_DATABASE_SCHEMA", schema)
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monkeypatch.setenv("RESUME_AGENT_DEFAULT_TIER", "free")
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application = create_app(
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extractor=RuleBasedExperienceExtractor(),
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rewriter=RuleBasedResumeRewriter(),
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expander=RuleBasedEntryExpander(),
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settings=Settings(llm_provider="rule", database_url=database_url),
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)
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try:
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assert isinstance(application.state.database, PostgresDatabase)
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with TestClient(application) as client:
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response = client.post("/ai-api/resume-agent/sessions", json={})
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assert response.status_code == 201
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session_id = response.json()["session_id"]
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assert application.state.database.get_session(session_id) is not None
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finally:
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application.state.database.engine.dispose()
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engine = create_engine(database_url)
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try:
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with engine.begin() as connection:
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connection.execute(text(f'DROP SCHEMA IF EXISTS "{schema}" CASCADE'))
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finally:
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engine.dispose()
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