精简后端功能模块并补充教学互动

app/schemas/knowledge.py

@@ -1,9 +0,0 @@
-from pydantic import BaseModel
-
-
-class KnowledgeSearchResponse(BaseModel):
-    """知识检索响应：返回评分参考指南片段和来源。"""
-
-    matched_chunks: list[dict]
-    source_refs: list[dict]
-    no_match: bool

app/schemas/llm.py

@@ -1,20 +0,0 @@
-from pydantic import BaseModel
-
-
-class LLMTestRequest(BaseModel):
-    """LLM 测试入参：用于快速模型和 reason 模型耗时验证。"""
-
-    message: str = "请用一句话说明医疗问诊训练 Demo 的用途。"
-
-
-class LLMTestResponse(BaseModel):
-    """LLM 测试响应：返回模型名、首 token 时间和总耗时。"""
-
-    model: str
-    first_token_ms: int | None = None
-    total_latency_ms: int
-    stream: bool
-    mock_mode: bool = False
-    fallback_used: bool = False
-    thinking_enabled: bool | None = None
-    reasoning_effort: str | None = None

app/schemas/teaching.py

@@ -0,0 +1,75 @@
+from pydantic import BaseModel, Field
+
+from app.schemas.evaluation import EvaluationResponse
+
+
+class TeachingVideo(BaseModel):
+    """教学视频：题目解析关联的视频资源。"""
+
+    title: str = ""
+    url: str = ""
+
+
+class TeachingOption(BaseModel):
+    """教学选项：单选题或多选题的选项结构。"""
+
+    key: str
+    text: str
+
+
+class TeachingQuestion(BaseModel):
+    """教学题目：从 teaching_case 解析出的互动题目。"""
+
+    question_id: str
+    question_type: str = "single_choice"
+    stem: str
+    options: list[TeachingOption] = Field(default_factory=list)
+    answer: str | list[str]
+    analysis: str = ""
+    video: TeachingVideo | None = None
+    knowledge_points: list[str] = Field(default_factory=list)
+
+
+class TeachingCaseSummary(BaseModel):
+    """教学病例摘要：教学互动页面展示的病例基础信息。"""
+
+    case_id: int
+    title: str
+    department_id: int | None = None
+    difficulty: str
+    chief_complaint: str
+    description: str
+    patient_age: int | None = None
+    patient_gender: str | None = None
+    knowledge_points: list[str] = Field(default_factory=list)
+
+
+class TeachingItemsResponse(BaseModel):
+    """教学列表响应：病例、教学目标、题目、答案、解析文本和视频。"""
+
+    case: TeachingCaseSummary
+    teaching_goal: str
+    teacher_guide: str
+    scoring_focus: str
+    questions: list[TeachingQuestion]
+
+
+class TeachingAnswer(BaseModel):
+    """教学作答：前端提交的单题选择结果。"""
+
+    question_id: str = Field(min_length=1, max_length=64)
+    selected_answer: str | list[str]
+
+
+class CreateTeachingEvaluationRequest(BaseModel):
+    """教学评价入参：提交教学互动题目作答并生成评价。"""
+
+    case_id: int
+    answers: list[TeachingAnswer] = Field(min_length=1)
+    score_type: str = Field(default="percentage", pattern="^(percentage|five_point)$")
+
+
+class TeachingEvaluationResponse(EvaluationResponse):
+    """教学评价响应：复用训练评价结构，并返回教学会话 ID。"""
+
+    session_id: int