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>
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
"""Chat intent registry and classification schema tests."""
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from __future__ import annotations
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import pytest
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from pydantic import ValidationError
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from app.chat_intents import (
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CHAT_INTENT_REGISTRY_VERSION,
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INTENT_DESCRIPTIONS,
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INTENT_FEWSHOTS,
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ChatIntent,
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ChatTurnClassification,
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ExtractedFact,
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)
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def test_registry_describes_every_intent_in_chinese() -> None:
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assert CHAT_INTENT_REGISTRY_VERSION
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assert set(INTENT_DESCRIPTIONS) == set(ChatIntent)
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for intent, description in INTENT_DESCRIPTIONS.items():
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assert description.strip(), intent
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assert any("一" <= char <= "鿿" for char in description), intent
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def test_fewshots_cover_each_intent_and_use_known_intents() -> None:
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covered = {example["intent"] for example in INTENT_FEWSHOTS}
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assert covered == set(ChatIntent)
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for example in INTENT_FEWSHOTS:
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assert example["message"].strip()
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assert isinstance(example["intent"], ChatIntent)
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def test_classification_schema_accepts_a_full_payload() -> None:
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parsed = ChatTurnClassification(
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intent="provide_facts",
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confidence=0.9,
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target_section="project_experience",
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target_entry_hint="AI Career Copilot",
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facts=[{"text": "负责后端接口开发", "kind": "action"}],
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identity_updates=None,
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revision_instruction=None,
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user_question=None,
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reason="用户在补充项目事实",
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)
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assert parsed.intent is ChatIntent.PROVIDE_FACTS
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assert parsed.facts[0].kind == "action"
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def test_classification_schema_defaults_and_rejects_extras() -> None:
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minimal = ChatTurnClassification(intent="chitchat")
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assert minimal.confidence == 0.5
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assert minimal.facts == []
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assert minimal.target_section is None
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with pytest.raises(ValidationError):
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ChatTurnClassification(intent="chitchat", bogus_field=1)
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with pytest.raises(ValidationError):
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ChatTurnClassification(intent="not_an_intent")
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with pytest.raises(ValidationError):
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ChatTurnClassification(intent="chitchat", confidence=1.5)
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def test_extracted_fact_defaults_kind_to_other() -> None:
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assert ExtractedFact(text="GPA 3.7").kind == "other"
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