finalize medical consultation agent backend

backend/app/schemas/auth.py

@@ -16,8 +16,10 @@ class AuthMeResponse(BaseModel):
     avatar: str | None = None
     gender: int | None = None
     institution: int | None = None
+    institution_id: int | None = None
     institution_name: str | None = None
     department: int | None = None
+    department_id: int | None = None
     department_name: str | None = None
     title_name: str | None = None
     major: str | None = None
@@ -31,3 +33,11 @@ class AuthMeResponse(BaseModel):
     total_case_count: int | None = None
     current_level: str | None = None
     status: int | None = None
+    last_login: str | None = None
+    last_login_time: str | None = None
+    is_superuser: bool | None = None
+    is_staff: bool | None = None
+    is_active: bool | None = None
+    date_joined: str | None = None
+    created_at: str | None = None
+    updated_at: str | None = None

backend/app/schemas/evaluation.py

@@ -21,6 +21,20 @@ class DimensionScore(BaseModel):
     improvement: str = ""
 
 
+class ScoreDetailItem(BaseModel):
+    """评分明细：对应 training_score_detail 的单条评分细则。"""
+
+    id: int | None = None
+    record_id: int | None = None
+    rule_id: int | None = None
+    dimension: str
+    score: float | None = None
+    deducted_reason: str | None = None
+    evidence_message_ids: list = Field(default_factory=list)
+    ai_confidence: float | None = None
+    comment: str | None = None
+
+
 class EvaluationResponse(BaseModel):
     """评价报告响应：返回结构化 AI 评价报告。"""
 
@@ -28,6 +42,7 @@ class EvaluationResponse(BaseModel):
     score_type: str
     total_score: float
     dimension_scores: list[DimensionScore]
+    score_details: list[ScoreDetailItem] = Field(default_factory=list)
     errors: list[dict]
     improvement_plan: list[str]
     evidence_summary: list[str]