finalize medical consultation agent backend

backend/app/agents/report_agent.py

@@ -9,6 +9,7 @@ class ReportAgent:
             "score_type": scoring_result.get("score_type", "percentage"),
             "total_score": total_score,
             "dimension_scores": dimension_scores,
+            "score_details": self._normalize_score_details(scoring_result.get("score_details", []), dimension_scores),
             "errors": self._ensure_list(scoring_result.get("errors")),
             "improvement_plan": self._ensure_list(scoring_result.get("improvement_plan")),
             "evidence_summary": self._ensure_list(scoring_result.get("evidence_summary")),
@@ -32,6 +33,30 @@ class ReportAgent:
                     "score": self._safe_float(item.get("score"), 0),
                     "max_score": self._safe_float(item.get("max_score"), 0),
                     "comment": str(item.get("comment", "")),
+                    "evidence": self._ensure_list(item.get("evidence")),
+                    "deductions": self._ensure_list(item.get("deductions")),
+                    "improvement": str(item.get("improvement", "")),
+                }
+            )
+        return normalized
+
+    def _normalize_score_details(self, raw_details: object, dimension_scores: list[dict]) -> list[dict]:
+        """评分明细校验：保留可写入 training_score_detail 的细粒度字段。"""
+        source = raw_details if isinstance(raw_details, list) and raw_details else dimension_scores
+        normalized: list[dict] = []
+        for item in source:
+            if not isinstance(item, dict):
+                continue
+            deductions = self._ensure_list(item.get("deductions"))
+            normalized.append(
+                {
+                    "rule_id": item.get("rule_id"),
+                    "dimension": str(item.get("dimension", "综合表现")),
+                    "score": self._safe_float(item.get("score"), 0),
+                    "deducted_reason": str(item.get("deducted_reason") or "；".join(str(value) for value in deductions)),
+                    "evidence_message_ids": self._ensure_list(item.get("evidence_message_ids") or item.get("evidence")),
+                    "ai_confidence": self._safe_float(item.get("ai_confidence"), 0.85),
+                    "comment": str(item.get("comment") or item.get("improvement") or ""),
                 }
             )
         return normalized

backend/app/agents/scoring_agent.py

@@ -114,8 +114,9 @@ class ScoringAgent:
             "你是医学教学问诊评分专家，只输出合法 JSON。"
             "请结合病例、问诊过程、检查申请、诊断和治疗提交进行教学评价。"
             "输出字段固定为 score_type,total_score,dimension_scores,errors,improvement_plan,"
-            "evidence_summary,guideline_refs,overall_comment。"
+            "evidence_summary,guideline_refs,overall_comment,score_details。"
             "dimension_scores 为 5-6 项，每项包含 dimension,score,max_score,comment,evidence,deductions,improvement。"
+            "score_details 对应 scoring_rules，每项包含 rule_id,dimension,score,deducted_reason,evidence_message_ids,ai_confidence,comment。"
             "evidence、deductions、improvement_plan、evidence_summary 必须是数组，每个元素一句话。"
             "errors 每项包含 title,description,severity,related_dimension。"
             "评价必须具体指出用户问了什么、申请了什么检查、诊断治疗哪里充分或不足。"
@@ -129,6 +130,7 @@ class ScoringAgent:
         for item in scoring_rules[:12]:
             compact.append(
                 {
+                    "rule_id": getattr(item, "id", None),
                     "dimension": getattr(item, "dimension", ""),
                     "competency_dimension": getattr(item, "competency_dimension", ""),
                     "score_weight": float(getattr(item, "score_weight", 0) or 0),
@@ -161,6 +163,7 @@ class ScoringAgent:
         data.setdefault("score_type", "percentage")
         data.setdefault("total_score", 0)
         data.setdefault("dimension_scores", [])
+        data.setdefault("score_details", [])
         data.setdefault("errors", [])
         data.setdefault("improvement_plan", [])
         data.setdefault("evidence_summary", [])
@@ -183,6 +186,7 @@ class ScoringAgent:
                 }
             )
         data["dimension_scores"] = normalized_dimensions or self._fallback_score("percentage", guideline_refs)["dimension_scores"]
+        data["score_details"] = self._normalize_score_details(data.get("score_details"), data["dimension_scores"])
         data["errors"] = self._normalize_errors(data.get("errors"))
         data["improvement_plan"] = self._ensure_list(data.get("improvement_plan"))
         data["evidence_summary"] = self._ensure_list(data.get("evidence_summary"))
@@ -195,6 +199,29 @@ class ScoringAgent:
             data["score_type"] = "percentage"
         return data
 
+    def _normalize_score_details(self, raw_details: object, dimension_scores: list[dict]) -> list[dict]:
+        """评分明细归一化：生成可落库的 training_score_detail 数据。"""
+        source = raw_details if isinstance(raw_details, list) and raw_details else dimension_scores
+        details = []
+        for item in source:
+            if not isinstance(item, dict):
+                continue
+            deducted_reason = item.get("deducted_reason")
+            if not deducted_reason:
+                deducted_reason = "；".join(str(value) for value in item.get("deductions", []) if value)
+            details.append(
+                {
+                    "rule_id": item.get("rule_id"),
+                    "dimension": str(item.get("dimension") or "综合表现"),
+                    "score": float(item.get("score") or 0),
+                    "deducted_reason": self._truncate(deducted_reason or "", 260),
+                    "evidence_message_ids": self._ensure_list(item.get("evidence_message_ids") or item.get("evidence")),
+                    "ai_confidence": float(item.get("ai_confidence") or 0.85),
+                    "comment": self._truncate(item.get("comment") or item.get("improvement") or "", 220),
+                }
+            )
+        return details
+
     def _normalize_errors(self, errors: object) -> list[dict]:
         """错误项归一化：转为报告可渲染的扣分项。"""
         normalized = []
@@ -320,6 +347,35 @@ class ScoringAgent:
                     "improvement": "用 SOAP 结构归纳病情，把证据、判断和计划串联起来。",
                 },
             ],
+            "score_details": [
+                {
+                    "rule_id": None,
+                    "dimension": "信息获取",
+                    "score": 20,
+                    "deducted_reason": "既往喘息史、过敏史、疫苗接种史、家属照护能力等信息不够完整。",
+                    "evidence_message_ids": ["围绕发热、咳嗽、喘息等核心症状展开问诊。"],
+                    "ai_confidence": 0.85,
+                    "comment": "完成主要症状追问，但儿科专科病史仍需补充。",
+                },
+                {
+                    "rule_id": None,
+                    "dimension": "分析推理",
+                    "score": 16,
+                    "deducted_reason": "鉴别诊断和严重程度判断未充分引用血氧、胸片和炎症指标。",
+                    "evidence_message_ids": ["主要诊断指向支气管肺炎。"],
+                    "ai_confidence": 0.84,
+                    "comment": "诊断方向基本正确，但严重程度分层需要更清晰。",
+                },
+                {
+                    "rule_id": None,
+                    "dimension": "检查利用",
+                    "score": 12,
+                    "deducted_reason": "对 SpO2、胸片异常和炎症指标的临床意义解释不够具体。",
+                    "evidence_message_ids": ["胸片、血氧或炎症指标可支持肺炎诊断和严重程度判断。"],
+                    "ai_confidence": 0.84,
+                    "comment": "关键检查申请较完整，但检查结果解释仍可细化。",
+                },
+            ],
             "errors": [
                 {
                     "title": "信息采集不够系统",
@@ -359,6 +415,13 @@ class ScoringAgent:
             }
             for item in data.get("dimension_scores", [])
         ]
+        converted["score_details"] = [
+            {
+                **item,
+                "score": round(float(item.get("score", 0)) / 20, 1),
+            }
+            for item in data.get("score_details", [])
+        ]
         return converted
 
     def _truncate(self, value: Any, limit: int) -> str:

backend/app/api/auth.py

@@ -22,9 +22,11 @@ async def auth_me(ctx: UserContext = Depends(get_user_context)):
             phone=profile.get("phone"),
             avatar=profile.get("avatar"),
             gender=profile.get("gender"),
-            institution=profile.get("institution"),
+            institution=profile.get("institution") or profile.get("institution_id"),
+            institution_id=profile.get("institution_id") or profile.get("institution"),
             institution_name=profile.get("institution_name"),
-            department=profile.get("department"),
+            department=profile.get("department") or profile.get("department_id"),
+            department_id=profile.get("department_id") or profile.get("department"),
             department_name=profile.get("department_name"),
             title_name=profile.get("title_name"),
             major=profile.get("major"),
@@ -38,5 +40,13 @@ async def auth_me(ctx: UserContext = Depends(get_user_context)):
             total_case_count=profile.get("total_case_count"),
             current_level=profile.get("current_level"),
             status=profile.get("status"),
+            last_login=profile.get("last_login"),
+            last_login_time=profile.get("last_login_time"),
+            is_superuser=profile.get("is_superuser"),
+            is_staff=profile.get("is_staff"),
+            is_active=profile.get("is_active"),
+            date_joined=profile.get("date_joined"),
+            created_at=profile.get("created_at"),
+            updated_at=profile.get("updated_at"),
         )
     )

backend/app/core/context.py

@@ -3,17 +3,23 @@ from dataclasses import dataclass
 
 @dataclass(frozen=True)
 class UserContext:
-    """用户上下文：承载宿主系统传入的 user_id 和入口元数据。"""
+    """用户上下文：承载 Django 用户中心认证后的用户 ID 和入口元数据。"""
 
     user_id: str
     tenant_id: str | None = None
     role: str | None = None
     class_id: str | None = None
+    institution_id: int | None = None
+    department_id: int | None = None
     entry_scene: str | None = None
     request_id: str | None = None
     ip_address: str | None = None
     user_agent: str | None = None
     username: str | None = None
     display_name: str | None = None
+    phone: str | None = None
+    major: str | None = None
+    training_stage: str | None = None
+    learning_target: str | None = None
     auth_source: str = "django_user_center"
     profile: dict | None = None

backend/app/core/user_context.py

@@ -23,12 +23,18 @@ async def get_user_context(
         user_id=user.user_id,
         tenant_id=user.tenant_id,
         role=user.role,
+        institution_id=user.institution_id,
+        department_id=user.department_id,
         entry_scene=x_entry_scene,
         request_id=x_request_id,
         ip_address=request.client.host if request.client else None,
         user_agent=request.headers.get("User-Agent"),
         username=user.username,
         display_name=user.display_name,
+        phone=user.phone,
+        major=user.major,
+        training_stage=user.training_stage,
+        learning_target=user.learning_target,
         auth_source=user.source,
         profile=user.profile,
     )

backend/app/models/__init__.py

@@ -6,8 +6,8 @@ from app.models.knowledge import KnowledgeChunk, KnowledgeDocument, KnowledgeSou
 from app.models.prompt import PromptTemplate
 from app.models.source_case import CaseBase, CaseExamItem, ScoringRule, TeachingCase, TraditionalCase
 from app.models.training import SessionOrder, SessionSubmission, TrainingSession
-from app.models.training_record import TrainingRecord
-from app.models.user import User, UserLearningProfile
+from app.models.training_record import TrainingRecord, TrainingScoreDetail
+from app.models.user import User
 
 __all__ = [
     "AuditLog",
@@ -25,6 +25,6 @@ __all__ = [
     "SessionSubmission",
     "TrainingSession",
     "TrainingRecord",
+    "TrainingScoreDetail",
     "User",
-    "UserLearningProfile",
 ]

backend/app/models/audit.py

@@ -12,7 +12,7 @@ class AuditLog(Base):
     __tablename__ = "audit_logs"
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
-    user_id: Mapped[str | None] = mapped_column(String(128), index=True)
+    user_id: Mapped[str | None] = mapped_column(String(128), index=True, comment="Django用户中心ID")
     tenant_id: Mapped[str | None] = mapped_column(String(128))
     session_id: Mapped[int | None] = mapped_column(Integer, index=True)
     action: Mapped[str] = mapped_column(String(64), nullable=False, index=True)

backend/app/models/department.py

@@ -1,22 +1,22 @@
 from __future__ import annotations
 
-from sqlalchemy import Boolean, ForeignKey, Integer, String
-from sqlalchemy.orm import Mapped, mapped_column, relationship
+from sqlalchemy import BigInteger, Integer, String
+from sqlalchemy.orm import Mapped, mapped_column
 
 from app.db.base import Base
 from app.models.mixins import TimestampMixin
 
+BIGINT_PK = BigInteger().with_variant(Integer, "sqlite")
+
 
 class Department(TimestampMixin, Base):
-    """科室模型：维护病例、知识库和评分规则的科室分类。"""
+    """科室模型：使用用户端确定的 department 表字段。"""
 
-    __tablename__ = "departments"
+    __tablename__ = "department"
 
-    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
-    name: Mapped[str] = mapped_column(String(100), nullable=False)
-    code: Mapped[str] = mapped_column(String(50), nullable=False, unique=True, index=True)
-    parent_id: Mapped[int | None] = mapped_column(ForeignKey("departments.id"), nullable=True)
-    sort_order: Mapped[int] = mapped_column(Integer, default=0)
-    is_active: Mapped[bool] = mapped_column(Boolean, default=True)
+    id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="科室ID")
+    name: Mapped[str] = mapped_column(String(100), nullable=False, comment="科室名称")
+    category: Mapped[str] = mapped_column(String(50), nullable=False, comment="科室分类")
+    institution_id: Mapped[int] = mapped_column(BigInteger, nullable=False, index=True, comment="所属机构ID")
 
-    parent: Mapped["Department | None"] = relationship(remote_side=[id])
+    __table_args__ = {"comment": "科室表"}

backend/app/models/knowledge.py

@@ -29,7 +29,7 @@ class KnowledgeDocument(TimestampMixin, Base):
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
     source_id: Mapped[int] = mapped_column(ForeignKey("knowledge_sources.id"), nullable=False, index=True)
-    department_id: Mapped[int | None] = mapped_column(ForeignKey("departments.id"), nullable=True, index=True)
+    department_id: Mapped[int | None] = mapped_column(ForeignKey("department.id"), nullable=True, index=True)
     title: Mapped[str] = mapped_column(String(255), nullable=False)
     task_type: Mapped[str | None] = mapped_column(String(64), index=True)
     summary: Mapped[str | None] = mapped_column(Text)
@@ -46,7 +46,7 @@ class KnowledgeChunk(Base):
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
     document_id: Mapped[int] = mapped_column(ForeignKey("knowledge_documents.id"), nullable=False, index=True)
-    department_id: Mapped[int | None] = mapped_column(ForeignKey("departments.id"), nullable=True, index=True)
+    department_id: Mapped[int | None] = mapped_column(ForeignKey("department.id"), nullable=True, index=True)
     task_type: Mapped[str | None] = mapped_column(String(64), index=True)
     chunk_text: Mapped[str] = mapped_column(Text, nullable=False)
     keywords: Mapped[list | None] = mapped_column(JSON)

backend/app/models/training.py

@@ -10,13 +10,13 @@ BIGINT_PK = BigInteger().with_variant(Integer, "sqlite")
 
 
 class TrainingSession(TimestampMixin, Base):
-    """训练会话表：保存一次训练的运行状态、用户隔离信息和短期 memory key。"""
+    """训练会话表：保存一次训练的运行状态、Django 用户隔离信息和短期 memory key。"""
 
     __tablename__ = "training_session"
 
     id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="训练会话ID")
     session_code: Mapped[str] = mapped_column(String(64), nullable=False, unique=True, index=True, comment="会话编码")
-    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="宿主系统用户ID")
+    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="Django用户中心ID")
     tenant_id: Mapped[str | None] = mapped_column(String(128), comment="租户或项目ID")
     class_id: Mapped[str | None] = mapped_column(String(128), comment="班级或课程ID")
     entry_scene: Mapped[str | None] = mapped_column(String(64), comment="入口场景")
@@ -45,7 +45,7 @@ class SessionOrder(Base):
 
     id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="检查申请ID")
     session_id: Mapped[int] = mapped_column(ForeignKey("training_session.id"), nullable=False, index=True, comment="训练会话ID")
-    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="宿主系统用户ID")
+    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="Django用户中心ID")
     case_id: Mapped[int] = mapped_column(ForeignKey("case_base.id"), nullable=False, index=True, comment="病例ID")
     case_exam_item_id: Mapped[int] = mapped_column("exam_item_id", ForeignKey("case_exam_item.id"), nullable=False, comment="检查项目ID")
     item_code: Mapped[str] = mapped_column(String(64), nullable=False, comment="项目编码")
@@ -74,7 +74,7 @@ class SessionSubmission(TimestampMixin, Base):
 
     id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="提交记录ID")
     session_id: Mapped[int] = mapped_column(ForeignKey("training_session.id"), nullable=False, unique=True, comment="训练会话ID")
-    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="宿主系统用户ID")
+    user_id: Mapped[str] = mapped_column("external_user_id", String(128), nullable=False, index=True, comment="Django用户中心ID")
     primary_diagnosis: Mapped[str | None] = mapped_column(Text, comment="主要诊断")
     differential_diagnoses: Mapped[list | None] = mapped_column(JSON, comment="鉴别诊断")
     diagnosis_basis: Mapped[str | None] = mapped_column(Text, comment="诊断依据")

backend/app/models/training_record.py

@@ -3,8 +3,8 @@ from __future__ import annotations
 from datetime import datetime
 from decimal import Decimal
 
-from sqlalchemy import BigInteger, DateTime, Integer, JSON, Numeric, String, Text, UniqueConstraint
-from sqlalchemy.orm import Mapped, mapped_column
+from sqlalchemy import BigInteger, DateTime, ForeignKey, Integer, JSON, Numeric, String, Text, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
 
 from app.db.base import Base
 from app.models.mixins import TimestampMixin
@@ -42,8 +42,8 @@ class TrainingRecord(TimestampMixin, Base):
     rag_context_version: Mapped[str] = mapped_column(String(50), nullable=False, default="none", comment="RAG上下文版本")
     case_id: Mapped[int] = mapped_column(BigInteger, nullable=False, index=True, comment="病例ID")
     teacher_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="教师ID")
-    user_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="数字用户ID")
-    external_user_id: Mapped[str] = mapped_column(String(128), nullable=False, index=True, comment="宿主系统用户ID")
+    user_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="Django用户中心数字ID")
+    external_user_id: Mapped[str] = mapped_column(String(128), nullable=False, index=True, comment="Django用户中心ID")
     session_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="训练会话ID")
     evaluation_record_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="兼容旧评价记录ID")
     score_type: Mapped[str] = mapped_column(String(20), nullable=False, default="percentage", comment="分数类型")
@@ -53,3 +53,25 @@ class TrainingRecord(TimestampMixin, Base):
         UniqueConstraint("session_id", name="uk_training_record_session"),
         {"comment": "训练记录表"},
     )
+
+    score_details = relationship("TrainingScoreDetail", back_populates="record", cascade="all, delete-orphan")
+
+
+class TrainingScoreDetail(TimestampMixin, Base):
+    """评分明细表：保存每条 scoring_rule 对应的 AI 评分、扣分原因、证据和置信度。"""
+
+    __tablename__ = "training_score_detail"
+
+    id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="评分明细ID")
+    record_id: Mapped[int] = mapped_column(ForeignKey("training_record.id"), nullable=False, index=True, comment="训练记录ID")
+    rule_id: Mapped[int | None] = mapped_column(ForeignKey("scoring_rule.id"), nullable=True, index=True, comment="评分规则ID")
+    dimension: Mapped[str] = mapped_column(String(50), nullable=False, index=True, comment="评分维度")
+    score: Mapped[Decimal] = mapped_column(Numeric(5, 2), nullable=False, default=0, comment="分数")
+    deducted_reason: Mapped[str | None] = mapped_column(Text, comment="扣分原因")
+    evidence_message_ids: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="对应对话证据")
+    ai_confidence: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), comment="AI评分置信度")
+    comment: Mapped[str | None] = mapped_column(Text, comment="评语")
+
+    record = relationship("TrainingRecord", back_populates="score_details")
+
+    __table_args__ = {"comment": "评分明细表"}

backend/app/models/user.py

@@ -1,33 +1,46 @@
 from datetime import datetime
 
-from sqlalchemy import DateTime, Integer, JSON, Numeric, String
+from sqlalchemy import BigInteger, Boolean, DateTime, Integer, JSON, SmallInteger, String
 from sqlalchemy.orm import Mapped, mapped_column
 
 from app.db.base import Base
 from app.models.mixins import TimestampMixin
 
+BIGINT_PK = BigInteger().with_variant(Integer, "sqlite")
+
 
 class User(TimestampMixin, Base):
-    """宿主用户引用：保存外部 user_id，不承担登录注册职责。"""
+    """用户端用户表：按 Django 用户中心确定字段建模，只读取不承担登录注册职责。"""
 
-    __tablename__ = "users"
+    __tablename__ = "user"
 
-    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
-    external_user_id: Mapped[str] = mapped_column(String(128), nullable=False, unique=True, index=True)
-    display_name: Mapped[str | None] = mapped_column(String(100), nullable=True)
+    id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="用户ID")
+    username: Mapped[str] = mapped_column(String(50), nullable=False, unique=True, index=True, comment="用户名")
+    password: Mapped[str] = mapped_column(String(255), nullable=False, comment="密码哈希")
+    real_name: Mapped[str] = mapped_column(String(50), nullable=False, comment="真实姓名")
+    phone: Mapped[str] = mapped_column(String(20), nullable=False, unique=True, index=True, comment="手机号")
+    avatar: Mapped[str] = mapped_column(String(255), nullable=False, default="", comment="头像")
+    gender: Mapped[int] = mapped_column(SmallInteger, nullable=False, default=0, comment="性别")
+    role_type: Mapped[str] = mapped_column(String(30), nullable=False, comment="角色类型")
+    title_name: Mapped[str] = mapped_column(String(50), nullable=False, default="", comment="职称")
+    major: Mapped[str] = mapped_column(String(100), nullable=False, default="", comment="专业")
+    training_stage: Mapped[str] = mapped_column(String(50), nullable=False, default="", comment="培训阶段")
+    learning_target: Mapped[str] = mapped_column(String(255), nullable=False, default="", comment="学习目标")
+    competency_profile: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="能力画像")
+    weak_dimensions: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="薄弱维度")
+    strong_dimensions: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="优势维度")
+    ai_preference: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="AI偏好")
+    total_training_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="训练次数")
+    total_case_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="病例数")
+    current_level: Mapped[str] = mapped_column(String(30), nullable=False, default="", comment="当前等级")
+    status: Mapped[int] = mapped_column(SmallInteger, nullable=False, default=1, comment="状态")
+    last_login: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, comment="最后登录")
+    last_login_time: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, comment="最后登录时间")
+    is_superuser: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, comment="是否超级用户")
+    is_staff: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False, comment="是否员工")
+    is_active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True, comment="是否激活")
+    date_joined: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, comment="加入时间")
+    department_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="科室ID")
+    institution_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="机构ID")
 
-
-class UserLearningProfile(TimestampMixin, Base):
-    """学习档案模型：聚合完整评价记录形成用户能力画像。"""
-
-    __tablename__ = "user_learning_profiles"
-
-    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
-    user_id: Mapped[str] = mapped_column(String(128), nullable=False, index=True)
-    tenant_id: Mapped[str | None] = mapped_column(String(128), nullable=True, index=True)
-    total_evaluations: Mapped[int] = mapped_column(Integer, default=0)
-    avg_score_percentage: Mapped[float | None] = mapped_column(Numeric(6, 2))
-    avg_score_five_point: Mapped[float | None] = mapped_column(Numeric(4, 2))
-    weak_dimensions: Mapped[list | None] = mapped_column(JSON)
-    last_evaluation_id: Mapped[int | None] = mapped_column(Integer)
-    last_trained_at: Mapped[datetime | None] = mapped_column(DateTime, index=True)
+    __table_args__ = {"comment": "用户表"}

backend/app/repositories/case_repository.py

@@ -3,7 +3,7 @@ from sqlalchemy.orm import Session, selectinload
 
 from app.models.source_case import CaseBase, CaseExamItem, ScoringRule, TeachingCase, TraditionalCase
 from app.models.training import SessionOrder, SessionSubmission, TrainingSession
-from app.models.training_record import TrainingRecord
+from app.models.training_record import TrainingRecord, TrainingScoreDetail
 
 
 class CaseRepository:
@@ -64,6 +64,7 @@ class CaseRepository:
             "training_session": len(session_ids),
             "training_order": self._count_training_orders(case_id, session_ids),
             "training_submission": self._count_by_sessions(SessionSubmission, SessionSubmission.session_id, session_ids),
+            "training_score_detail": self._count_score_details(case_id, session_ids),
             "training_record": self._count_training_records(case_id, session_ids),
         }
 
@@ -75,6 +76,7 @@ class CaseRepository:
         deleted["training_submission"] = self._delete_by_sessions(
             SessionSubmission, SessionSubmission.session_id, session_ids
         )
+        deleted["training_score_detail"] = self._delete_score_details(case_id, session_ids)
         deleted["training_record"] = self._delete_training_records(case_id, session_ids)
         deleted["training_session"] = self._delete_where(TrainingSession, TrainingSession.case_id == case_id)
         deleted["case_exam_item"] = self._delete_where(CaseExamItem, CaseExamItem.case_id == case_id)
@@ -115,6 +117,13 @@ class CaseRepository:
             )
         return self._count(TrainingRecord, TrainingRecord.case_id == case_id)
 
+    def _count_score_details(self, case_id: int, session_ids: list[int]) -> int:
+        """病例删除预览：统计该病例评价记录下的评分明细。"""
+        record_ids = self._record_ids(case_id, session_ids)
+        if not record_ids:
+            return 0
+        return self._count(TrainingScoreDetail, TrainingScoreDetail.record_id.in_(record_ids))
+
     def _delete_where(self, model: type, *criteria) -> int:
         """病例删除执行：按条件删除单表记录并返回影响行数。"""
         result = self.db.execute(delete(model).where(*criteria))
@@ -144,6 +153,23 @@ class CaseRepository:
             )
         return self._delete_where(TrainingRecord, TrainingRecord.case_id == case_id)
 
+    def _delete_score_details(self, case_id: int, session_ids: list[int]) -> int:
+        """病例删除执行：先删除评价明细，避免阻塞训练记录删除。"""
+        record_ids = self._record_ids(case_id, session_ids)
+        if not record_ids:
+            return 0
+        return self._delete_where(TrainingScoreDetail, TrainingScoreDetail.record_id.in_(record_ids))
+
+    def _record_ids(self, case_id: int, session_ids: list[int]) -> list[int]:
+        """病例删除：读取该病例关联的训练记录 ID 集合。"""
+        if session_ids:
+            stmt = select(TrainingRecord.id).where(
+                or_(TrainingRecord.case_id == case_id, TrainingRecord.session_id.in_(session_ids))
+            )
+        else:
+            stmt = select(TrainingRecord.id).where(TrainingRecord.case_id == case_id)
+        return [int(item) for item in self.db.scalars(stmt).all()]
+
     def get_exam_items(self, case_id: int) -> list[CaseExamItem]:
         """检查项目：读取当前病例下全部可申请检查检验项目。"""
         stmt = select(CaseExamItem).where(CaseExamItem.case_id == case_id).order_by(CaseExamItem.display_order)

backend/app/repositories/evaluation_repository.py

@@ -1,7 +1,7 @@
-from sqlalchemy import select
+from sqlalchemy import delete, select
 from sqlalchemy.orm import Session
 
-from app.models.training_record import TrainingRecord
+from app.models.training_record import TrainingRecord, TrainingScoreDetail
 
 
 class EvaluationRepository:
@@ -16,6 +16,20 @@ class EvaluationRepository:
         self.db.flush()
         return record
 
+    def replace_score_details(self, record_id: int, details: list[TrainingScoreDetail]) -> list[TrainingScoreDetail]:
+        """评分明细保存：按训练记录覆盖写入维度评分明细。"""
+        self.db.execute(delete(TrainingScoreDetail).where(TrainingScoreDetail.record_id == record_id))
+        for detail in details:
+            detail.record_id = record_id
+            self.db.add(detail)
+        self.db.flush()
+        return details
+
+    def list_score_details(self, record_id: int) -> list[TrainingScoreDetail]:
+        """评分明细读取：按训练记录查询全部维度明细。"""
+        stmt = select(TrainingScoreDetail).where(TrainingScoreDetail.record_id == record_id).order_by(TrainingScoreDetail.id)
+        return list(self.db.scalars(stmt).all())
+
     def get_by_session(self, session_id: int, user_id: str) -> TrainingRecord | None:
         """评价读取：按会话 ID 和外部 user_id 查询训练记录。"""
         stmt = select(TrainingRecord).where(

backend/app/repositories/profile_repository.py

@@ -1,25 +0,0 @@
-from sqlalchemy import select
-from sqlalchemy.orm import Session
-
-from app.models.user import UserLearningProfile
-
-
-class UserLearningProfileRepository:
-    """学习档案仓储：维护用户训练评价聚合数据。"""
-
-    def __init__(self, db: Session) -> None:
-        self.db = db
-
-    def get_profile(self, user_id: str, tenant_id: str | None) -> UserLearningProfile | None:
-        """档案读取：按 user_id 和 tenant_id 获取学习档案。"""
-        stmt = select(UserLearningProfile).where(
-            UserLearningProfile.user_id == user_id,
-            UserLearningProfile.tenant_id == tenant_id,
-        )
-        return self.db.scalar(stmt)
-
-    def save(self, profile: UserLearningProfile) -> UserLearningProfile:
-        """档案保存：创建或更新用户学习档案。"""
-        self.db.add(profile)
-        self.db.flush()
-        return profile

backend/app/repositories/source_case_repository.py

@@ -50,7 +50,7 @@ class SourceCaseRepository:
         return self.db.scalar(stmt)
 
     def get_department_name(self, department_id: int | None) -> str:
-        """科室名称：兼容当前 demo 的 departments 表，源库无科室表时返回空字符串。"""
+        """科室名称：按用户端 department 表读取科室名称。"""
         if not department_id:
             return ""
         department = self.db.scalar(select(Department).where(Department.id == department_id))

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]

backend/app/services/evaluation_service.py

@@ -1,16 +1,15 @@
 import json
 from datetime import datetime
+from decimal import Decimal
 
 from sqlalchemy.orm import Session
 
 from app.agents.orchestrator import MedicalConsultationOrchestrator
 from app.core.context import UserContext
 from app.core.exceptions import AppError
-from app.models.training_record import TrainingRecord
-from app.models.user import UserLearningProfile
+from app.models.training_record import TrainingRecord, TrainingScoreDetail
 from app.repositories.case_repository import CaseRepository
 from app.repositories.evaluation_repository import EvaluationRepository
-from app.repositories.profile_repository import UserLearningProfileRepository
 from app.repositories.session_repository import SessionRepository
 from app.repositories.source_case_repository import SourceCaseRepository
 from app.schemas.evaluation import (
@@ -20,6 +19,7 @@ from app.schemas.evaluation import (
     EvaluationListItem,
     EvaluationListResponse,
     EvaluationResponse,
+    ScoreDetailItem,
 )
 from app.services.audit_service import AuditService
 from app.services.knowledge_service import KnowledgeService
@@ -27,7 +27,7 @@ from app.services.runtime_memory import runtime_memory
 
 
 class EvaluationService:
-    """评价服务：基于新源库表和 training_record 完成评分、历史和学习档案更新。"""
+    """评价服务：基于病例、评分规则和作答过程生成 training_record 与评分明细。"""
 
     def __init__(self, db: Session) -> None:
         self.db = db
@@ -35,7 +35,6 @@ class EvaluationService:
         self.case_repo = CaseRepository(db)
         self.eval_repo = EvaluationRepository(db)
         self.source_repo = SourceCaseRepository(db)
-        self.profile_repo = UserLearningProfileRepository(db)
         self.knowledge = KnowledgeService(db)
         self.audit = AuditService(db)
         self.orchestrator = MedicalConsultationOrchestrator()
@@ -79,9 +78,9 @@ class EvaluationService:
 
         record = self._build_training_record(ctx, session, case, submission, report, scoring_rules, guideline_result)
         self.eval_repo.create_record(record)
+        self.eval_repo.replace_score_details(record.id, self._build_score_details(record.id, report, scoring_rules))
         self.session_repo.update_status(session, "completed")
         runtime_memory.release(session.memory_key)
-        self._update_learning_profile(ctx, record)
         self.audit.log(ctx, "evaluation.generate", "training_record", str(record.id), session.id)
         return self._to_response(record)
 
@@ -104,6 +103,7 @@ class EvaluationService:
             "score_type": report.get("score_type", session.score_type),
             "total_score": total_score,
             "dimension_scores": report.get("dimension_scores") or [],
+            "score_details": report.get("score_details") or [],
             "errors": report.get("errors") or [],
             "improvement_plan": report.get("improvement_plan") or [],
             "evidence_summary": report.get("evidence_summary") or [],
@@ -160,6 +160,61 @@ class EvaluationService:
             pdf_file_path=None,
         )
 
+    def _build_score_details(self, record_id: int, report: dict, scoring_rules: list) -> list[TrainingScoreDetail]:
+        """评分明细写入：把 LLM 结构化评分结果映射到 training_score_detail。"""
+        raw_items = report.get("score_details") or report.get("dimension_scores") or []
+        rule_map = self._rule_map(scoring_rules)
+        details: list[TrainingScoreDetail] = []
+        for item in raw_items:
+            if not isinstance(item, dict):
+                continue
+            dimension = str(item.get("dimension") or "综合表现")
+            matched_rule = self._match_rule(item, dimension, rule_map)
+            deducted_reason = item.get("deducted_reason")
+            if not deducted_reason:
+                deducted_reason = "；".join(str(value) for value in (item.get("deductions") or []) if value)
+            evidence = item.get("evidence_message_ids")
+            if evidence is None:
+                evidence = item.get("evidence") or []
+            details.append(
+                TrainingScoreDetail(
+                    record_id=record_id,
+                    rule_id=int(item.get("rule_id") or matched_rule.id) if matched_rule else None,
+                    dimension=dimension[:50],
+                    score=self._decimal_or_none(item.get("score")),
+                    deducted_reason=deducted_reason or "",
+                    evidence_message_ids=evidence if isinstance(evidence, list) else [evidence],
+                    ai_confidence=self._decimal_or_none(item.get("ai_confidence") or 0.85),
+                    comment=item.get("comment") or item.get("improvement") or "",
+                )
+            )
+        return details
+
+    def _rule_map(self, scoring_rules: list) -> dict[str, object]:
+        """评分规则映射：按维度和能力维度建立匹配索引。"""
+        result = {}
+        for rule in scoring_rules:
+            for key in (getattr(rule, "dimension", ""), getattr(rule, "competency_dimension", "")):
+                if key:
+                    result[str(key).strip()] = rule
+        return result
+
+    def _match_rule(self, item: dict, dimension: str, rule_map: dict[str, object]):
+        """评分规则匹配：优先按 rule_id，其次按维度文本匹配 scoring_rule。"""
+        rule_id = item.get("rule_id")
+        if rule_id:
+            for rule in rule_map.values():
+                if getattr(rule, "id", None) == rule_id:
+                    return rule
+        return rule_map.get(dimension) or rule_map.get(str(item.get("competency_dimension") or "").strip())
+
+    def _decimal_or_none(self, value: object) -> Decimal | None:
+        """分数转换：将 LLM 返回值转换为 Decimal，异常时置空。"""
+        try:
+            return Decimal(str(value))
+        except Exception:
+            return None
+
     def _evaluation_level(self, score: float, score_type: str) -> str:
         """评价等级：根据百分制或五分制总分生成训练记录等级。"""
         normalized = score * 20 if score_type == "five_point" else score
@@ -177,11 +232,11 @@ class EvaluationService:
         return f"knowledge_chunks:{len(matched)}" if matched else "none"
 
     def _numeric_user_id(self, user_id: str) -> int | None:
-        """用户 ID 兼容：宿主传字符串 user_id 时写入 external_user_id，数字 ID 同步写入 user_id。"""
+        """用户 ID 兼容：Django 返回的 id 写入 external_user_id，纯数字时同步写入源库 user_id。"""
         return int(user_id) if str(user_id).isdigit() else None
 
     def list_history(self, user_id: str) -> EvaluationListResponse:
-        """历史评价：按外部 user_id 查询完整训练后的 training_record。"""
+        """历史评价：按 Django 用户中心 ID 查询完整训练后的 training_record。"""
         records = self.eval_repo.list_by_user(user_id)
         return EvaluationListResponse(
             items=[
@@ -198,7 +253,7 @@ class EvaluationService:
         )
 
     def get_detail(self, evaluation_id: int, user_id: str) -> EvaluationDetailResponse:
-        """评价详情：按 user_id 校验归属并返回完整报告。"""
+        """评价详情：按 Django 用户中心 ID 校验归属并返回完整报告。"""
         record = self.eval_repo.get_owned_record(evaluation_id, user_id)
         if not record:
             raise AppError("EVALUATION_NOT_FOUND", "evaluation not found or not owned by current user", 404)
@@ -221,6 +276,7 @@ class EvaluationService:
             score_type=record.score_type,
             total_score=float(record.total_score or structured.get("total_score") or 0),
             dimension_scores=[DimensionScore(**item) for item in dimension_scores],
+            score_details=self._score_detail_response(record),
             errors=structured.get("errors") or record.wrong_points or [],
             improvement_plan=structured.get("improvement_plan") or (record.recommendation_result or {}).get("improvement_plan") or [],
             evidence_summary=structured.get("evidence_summary") or [],
@@ -228,25 +284,38 @@ class EvaluationService:
             overall_comment=structured.get("overall_comment") or record.feedback or "",
         )
 
-    def _update_learning_profile(self, ctx: UserContext, record: TrainingRecord) -> None:
-        """学习档案：根据完整训练记录更新用户平均分和薄弱维度。"""
-        profile = self.profile_repo.get_profile(ctx.user_id, ctx.tenant_id)
-        if not profile:
-            profile = UserLearningProfile(user_id=ctx.user_id, tenant_id=ctx.tenant_id)
-
-        records = self.eval_repo.list_by_user(ctx.user_id)
-        percentage_scores = [float(item.total_score or 0) for item in records if item.score_type == "percentage"]
-        five_point_scores = [float(item.total_score or 0) for item in records if item.score_type == "five_point"]
-        dimensions = (record.ai_feedback_structured or {}).get("dimension_scores") or []
-        weak_dimensions = sorted(dimensions, key=lambda item: float(item.get("score", 0)))[:2]
-
-        profile.total_evaluations = len(records)
-        profile.avg_score_percentage = round(sum(percentage_scores) / len(percentage_scores), 2) if percentage_scores else None
-        profile.avg_score_five_point = round(sum(five_point_scores) / len(five_point_scores), 2) if five_point_scores else None
-        profile.weak_dimensions = weak_dimensions
-        profile.last_evaluation_id = record.id
-        profile.last_trained_at = datetime.utcnow()
-        self.profile_repo.save(profile)
+    def _score_detail_response(self, record: TrainingRecord) -> list[ScoreDetailItem]:
+        """评分明细响应：优先读取 training_score_detail，旧记录回退到结构化维度评分。"""
+        details = self.eval_repo.list_score_details(record.id)
+        if details:
+            return [
+                ScoreDetailItem(
+                    id=item.id,
+                    record_id=item.record_id,
+                    rule_id=item.rule_id,
+                    dimension=item.dimension,
+                    score=float(item.score) if item.score is not None else None,
+                    deducted_reason=item.deducted_reason,
+                    evidence_message_ids=item.evidence_message_ids or [],
+                    ai_confidence=float(item.ai_confidence) if item.ai_confidence is not None else None,
+                    comment=item.comment,
+                )
+                for item in details
+            ]
+        structured = record.ai_feedback_structured or {}
+        return [
+            ScoreDetailItem(
+                record_id=record.id,
+                dimension=item.get("dimension", "综合表现"),
+                score=float(item.get("score") or 0),
+                deducted_reason="；".join(str(value) for value in item.get("deductions", []) if value),
+                evidence_message_ids=item.get("evidence") or [],
+                ai_confidence=None,
+                comment=item.get("comment") or "",
+            )
+            for item in structured.get("dimension_scores") or []
+            if isinstance(item, dict)
+        ]
 
     def _case_title(self, case_id: int | None) -> str:
         """病例标题：历史记录只保存 case_id，展示时按新病例主表读取标题。"""

backend/app/services/external_auth_service.py

@@ -100,7 +100,7 @@ class ExternalAuthService:
         username = self._first_present(data, ["username", "account", "mobile", "phone"])
         display_name = self._first_present(data, ["display_name", "name", "nickname", "real_name"])
         role = self._first_present(data, ["role_type", "role", "user_role"])
-        institution_id = self._to_int(data.get("institution"))
+        institution_id = self._to_int(data.get("institution_id") or data.get("institution"))
         tenant_id = str(institution_id) if institution_id is not None else None
         profile = self._build_profile(data)
         return AuthenticatedUser(
@@ -114,7 +114,7 @@ class ExternalAuthService:
             gender=self._to_int(data.get("gender")),
             institution_id=institution_id,
             institution_name=self._to_str(data.get("institution_name")),
-            department_id=self._to_int(data.get("department")),
+            department_id=self._to_int(data.get("department_id") or data.get("department")),
             department_name=self._to_str(data.get("department_name")),
             title_name=self._to_str(data.get("title_name")),
             major=self._to_str(data.get("major")),
@@ -136,8 +136,10 @@ class ExternalAuthService:
             "gender",
             "role_type",
             "institution",
+            "institution_id",
             "institution_name",
             "department",
+            "department_id",
             "department_name",
             "title_name",
             "major",
@@ -151,7 +153,12 @@ class ExternalAuthService:
             "total_case_count",
             "current_level",
             "status",
+            "last_login",
             "last_login_time",
+            "is_superuser",
+            "is_staff",
+            "is_active",
+            "date_joined",
             "created_at",
             "updated_at",
         ]

backend/app/services/pdf_export_service.py

@@ -35,7 +35,8 @@ class PdfExportService:
         timestamp = datetime.utcnow().strftime("%Y%m%d%H%M%S")
         file_name = f"training_record_{record.id}_{record.score_type}_{timestamp}_{uuid.uuid4().hex[:6]}.pdf"
         file_path = output_dir / file_name
-        self._write_pdf(file_path, record, session)
+        score_details = self.repo.list_score_details(record.id)
+        self._write_pdf(file_path, record, session, score_details)
 
         record.pdf_file_path = str(file_path)
         recommendation = dict(record.recommendation_result or {})
@@ -57,7 +58,7 @@ class PdfExportService:
         )
         return self.db.scalar(stmt)
 
-    def _write_pdf(self, file_path: Path, record: TrainingRecord, session: TrainingSession | None) -> None:
+    def _write_pdf(self, file_path: Path, record: TrainingRecord, session: TrainingSession | None, score_details: list | None = None) -> None:
         """PDF 写入：使用 reportlab 生成 Acrobat 可正常打开的标准 PDF。"""
         try:
             from reportlab.lib import colors
@@ -133,7 +134,7 @@ class PdfExportService:
                 bottomMargin=14 * mm,
                 title="医疗问诊 Agent 训练评价报告",
             )
-            doc.build(self._build_story(record, session, context))
+            doc.build(self._build_story(record, session, context, score_details or []))
         except ModuleNotFoundError:
             self._write_minimal_pdf(file_path, record)
         except Exception as exc:
@@ -184,7 +185,7 @@ class PdfExportService:
         )
         file_path.write_bytes(bytes(content))
 
-    def _build_story(self, record: TrainingRecord, session: TrainingSession | None, context: dict[str, Any]) -> list:
+    def _build_story(self, record: TrainingRecord, session: TrainingSession | None, context: dict[str, Any], score_details: list | None = None) -> list:
         """报告模板：按基本信息、病例、提交、检查、评分细则和改进计划组织内容。"""
         Paragraph = context["Paragraph"]
         Spacer = context["Spacer"]
@@ -220,7 +221,7 @@ class PdfExportService:
         self._append_case_section(story, case, context)
         self._append_submission_section(story, submission, context)
         self._append_order_section(story, orders, context)
-        self._append_dimension_section(story, structured.get("dimension_scores") or [], context)
+        self._append_dimension_section(story, score_details or structured.get("dimension_scores") or [], context)
         self._append_error_section(story, structured.get("errors") or record.wrong_points or [], context)
         self._append_list_section(story, "七、改进计划", structured.get("improvement_plan") or (record.recommendation_result or {}).get("improvement_plan") or [], context)
         self._append_list_section(story, "八、证据摘要", structured.get("evidence_summary") or [], context)
@@ -284,17 +285,49 @@ class PdfExportService:
         if not dimensions:
             story.append(context["Paragraph"]("暂无维度评分。", context["styles"]["body"]))
             return
-        rows = [["维度", "得分", "评价"]]
+        rows = [["维度", "得分", "扣分原因", "置信度", "评语"]]
         for item in dimensions:
-            rows.append([item.get("dimension", "未命名维度"), f"{item.get('score', 0)} / {item.get('max_score', '-')}", item.get("comment", "")])
-        self._append_table(story, rows, [88, 58, 339], context)
+            payload = self._score_detail_payload(item)
+            rows.append([
+                payload["dimension"],
+                payload["score_text"],
+                payload["deducted_reason"],
+                payload["ai_confidence"],
+                payload["comment"],
+            ])
+        self._append_table(story, rows, [70, 45, 160, 45, 165], context)
         for index, item in enumerate(dimensions, start=1):
-            title = f"{index}. {item.get('dimension', '未命名维度')}：{item.get('score', 0)} / {item.get('max_score', '-')}"
+            payload = self._score_detail_payload(item)
+            title = f"{index}. {payload['dimension']}：{payload['score_text']}"
             story.append(context["Paragraph"](self._safe_text(title), context["styles"]["body"]))
-            self._append_list_section(story, "证据", item.get("evidence") or [], context, compact=True)
-            self._append_list_section(story, "扣分原因", item.get("deductions") or [], context, compact=True)
-            if item.get("improvement"):
-                story.append(context["Paragraph"](f"改进动作：{self._safe_text(item.get('improvement'))}", context["styles"]["small"]))
+            self._append_list_section(story, "证据", payload["evidence"], context, compact=True)
+            self._append_list_section(story, "扣分原因", [payload["deducted_reason"]] if payload["deducted_reason"] else [], context, compact=True)
+            if payload["comment"]:
+                story.append(context["Paragraph"](f"评语：{self._safe_text(payload['comment'])}", context["styles"]["small"]))
+
+    def _score_detail_payload(self, item: Any) -> dict[str, Any]:
+        """评分明细展示：兼容 training_score_detail ORM 和旧 dimension_scores 字典。"""
+        if isinstance(item, dict):
+            score = item.get("score", 0)
+            max_score = item.get("max_score")
+            return {
+                "dimension": item.get("dimension", "未命名维度"),
+                "score_text": f"{score} / {max_score}" if max_score is not None else str(score),
+                "deducted_reason": item.get("deducted_reason") or "；".join(str(value) for value in item.get("deductions", []) if value),
+                "ai_confidence": item.get("ai_confidence") or "未记录",
+                "comment": item.get("comment") or item.get("improvement") or "",
+                "evidence": item.get("evidence_message_ids") or item.get("evidence") or [],
+            }
+        score = getattr(item, "score", None)
+        confidence = getattr(item, "ai_confidence", None)
+        return {
+            "dimension": getattr(item, "dimension", "未命名维度"),
+            "score_text": f"{float(score):g}" if score is not None else "未记录",
+            "deducted_reason": getattr(item, "deducted_reason", "") or "",
+            "ai_confidence": f"{float(confidence):g}" if confidence is not None else "未记录",
+            "comment": getattr(item, "comment", "") or "",
+            "evidence": getattr(item, "evidence_message_ids", None) or [],
+        }
 
     def _append_error_section(self, story: list, errors: list, context: dict[str, Any]) -> None:
         """扣分问题分节：展示模型识别出的关键问题和严重程度。"""