finish app develop

tests/test_analyzer.py

@@ -0,0 +1,71 @@
+from app.analyzer import LLMClient, build_analysis_prompt, select_relevant_skills
+from app.config import ProviderConfig
+from app.docx_parser import ParsedDocument
+from app.skill_loader import Skill
+
+
+class DummyResponse:
+    def raise_for_status(self) -> None:
+        return None
+
+    def json(self) -> dict:
+        return {"choices": [{"message": {"content": "分析结果"}}]}
+
+
+class DummySession:
+    def __init__(self) -> None:
+        self.calls = []
+
+    def post(self, url: str, **kwargs):
+        self.calls.append((url, kwargs))
+        return DummyResponse()
+
+
+def test_select_relevant_skills_prefers_matching_text() -> None:
+    parsed = ParsedDocument(
+        filename="srs.docx",
+        text="软件需求规格说明 CSCI 能力需求 接口需求 合格性规定",
+        paragraphs=[],
+        headings=[],
+        tables=[],
+    )
+    skills = [
+        Skill("requirements", "软件需求规格说明", "需求文档", "编写软件需求", "需求能力接口", None),
+        Skill("deployment", "部署准备", "部署文档", "软件部署交付", "安装部署", None),
+    ]
+
+    selected = select_relevant_skills(parsed, skills, max_skills=1)
+
+    assert [skill.slug for skill in selected] == ["requirements"]
+
+
+def test_llm_client_posts_openai_compatible_payload() -> None:
+    provider = ProviderConfig(
+        api_key="secret",
+        base_url="https://api.deepseek.com/v1/chat/completions",
+        max_tokens=99,
+        model="deepseek-chat",
+        temperature=0.1,
+    )
+    session = DummySession()
+    client = LLMClient(provider, session=session)
+
+    content = client.complete("检查文档")
+
+    assert content == "分析结果"
+    url, kwargs = session.calls[0]
+    assert url == "https://api.deepseek.com/v1/chat/completions"
+    assert kwargs["headers"]["Authorization"] == "Bearer secret"
+    assert kwargs["json"]["model"] == "deepseek-chat"
+    assert kwargs["json"]["messages"][0]["content"] == "检查文档"
+
+
+def test_build_analysis_prompt_contains_document_and_skill() -> None:
+    parsed = ParsedDocument("a.docx", "正文", [], [], [])
+    skill = Skill("s1", "技能一", "描述", "使用条件", "规范内容", None)
+
+    prompt = build_analysis_prompt(parsed, [skill])
+
+    assert "a.docx" in prompt
+    assert "技能一" in prompt
+    assert "符合项" in prompt