feat: 添加线索引擎、NLQ、场景检测、前端界面等核心功能模块

backend/app/api/schemas.py

@@ -34,3 +34,52 @@ class PenetrateResponse(BaseModel):
     max_depth: int
     related_count: int
     related: list[RelatedEntityOut]
+
+
+class ClueOut(BaseModel):
+    id: uuid.UUID
+    title: str
+    risk_domain: str
+    scenario_code: str
+    confidence: str
+    score: float
+    status: str
+    rationale: str
+    evidence: dict = Field(default_factory=dict)
+    subjects: dict = Field(default_factory=dict)
+    amount_involved: float | None = None
+    assignee: str | None = None
+    feedback: str | None = None
+
+    model_config = {"from_attributes": True}
+
+
+class AssignRequest(BaseModel):
+    assignee: str = Field(min_length=1)
+    actor: str = Field(min_length=1)
+
+
+class AdjudicateRequest(BaseModel):
+    confirmed: bool
+    actor: str = Field(min_length=1)
+    note: str | None = None
+
+
+class NLQRequest(BaseModel):
+    question: str = Field(min_length=1)
+
+
+class NLQResponse(BaseModel):
+    question: str
+    answer: str
+    provider: str
+    model: str
+    egress: bool
+
+
+class DashboardSummary(BaseModel):
+    total: int
+    by_status: dict[str, int]
+    by_confidence: dict[str, int]
+    by_scenario: dict[str, int]
+    total_amount_involved: float