Build lightweight AI agent admin

backend-fastapi/ai_platform/knowledge/schemas/annotation_schema.py

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+"""
+知识库标注 Schema
+"""
+from typing import Optional, List
+from datetime import datetime
+
+from pydantic import BaseModel, Field, ConfigDict
+
+from app.base_schema import CSTDatetime
+
+
+class AnnotationCreateInput(BaseModel):
+    """创建标注"""
+    question: str = Field(..., min_length=1, description="问题")
+    answer: str = Field(..., min_length=1, description="答案")
+
+
+class AnnotationUpdateInput(BaseModel):
+    """更新标注"""
+    question: Optional[str] = Field(None, min_length=1, description="问题")
+    answer: Optional[str] = Field(None, min_length=1, description="答案")
+    enabled: Optional[bool] = Field(None, description="是否启用")
+
+
+class AnnotationResponse(BaseModel):
+    """标注输出"""
+    id: str
+    knowledge_base_id: str
+    question: str
+    answer: str
+    embedding_status: str = "pending"
+    enabled: bool = True
+    hit_count: int = 0
+    sys_create_datetime: Optional[CSTDatetime] = None
+    sys_update_datetime: Optional[CSTDatetime] = None
+
+    model_config = ConfigDict(from_attributes=True)