696b0475a8
* [add] Complete ontology engineering feature implementation * [add] Add ontology feature integration and validation utilities * [add] Add OWL validator and validation utilities * [fix] Add missing render_ontology_extraction_prompt function * [fix]Add dependencies, fix functionality
612 lines
24 KiB
Python
612 lines
24 KiB
Python
# -*- coding: utf-8 -*-
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"""本体场景和类型路由（续）
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由于主Controller文件较大，将剩余路由放在此文件中。
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"""
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from uuid import UUID
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from typing import Optional
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from fastapi import Depends
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from sqlalchemy.orm import Session
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from app.core.error_codes import BizCode
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from app.core.logging_config import get_api_logger
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from app.core.response_utils import fail, success
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from app.db import get_db
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from app.dependencies import get_current_user
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from app.models.user_model import User
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from app.schemas.ontology_schemas import (
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SceneResponse,
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SceneListResponse,
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PaginationInfo,
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ClassCreateRequest,
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ClassUpdateRequest,
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ClassResponse,
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ClassListResponse,
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ClassBatchCreateResponse,
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)
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from app.schemas.response_schema import ApiResponse
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from app.services.ontology_service import OntologyService
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from app.core.memory.llm_tools.openai_client import OpenAIClient
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from app.core.models.base import RedBearModelConfig
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api_logger = get_api_logger()
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def _get_dummy_ontology_service(db: Session) -> OntologyService:
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"""获取OntologyService实例（不需要LLM）
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场景和类型管理不需要LLM，创建一个dummy配置。
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"""
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dummy_config = RedBearModelConfig(
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model_name="dummy",
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provider="openai",
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api_key="dummy",
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base_url="https://api.openai.com/v1"
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)
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llm_client = OpenAIClient(model_config=dummy_config)
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return OntologyService(llm_client=llm_client, db=db)
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# 这些函数将被导入到主Controller中
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async def scenes_handler(
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workspace_id: Optional[str] = None,
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scene_name: Optional[str] = None,
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page: Optional[int] = None,
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page_size: Optional[int] = None,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""获取场景列表（支持模糊搜索和全量查询，全量查询支持分页）
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当提供 scene_name 参数时，进行模糊搜索（不分页）；
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当不提供 scene_name 参数时，返回所有场景（支持分页）。
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Args:
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workspace_id: 工作空间ID（可选，默认当前用户工作空间）
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scene_name: 场景名称关键词（可选，支持模糊匹配）
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page: 页码（可选，从1开始，仅在全量查询时有效）
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page_size: 每页数量（可选，仅在全量查询时有效）
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db: 数据库会话
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current_user: 当前用户
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"""
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operation = "search" if scene_name else "list"
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api_logger.info(
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f"Scene {operation} requested by user {current_user.id}, "
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f"workspace_id={workspace_id}, keyword={scene_name}, page={page}, page_size={page_size}"
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)
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try:
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# 确定工作空间ID
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if workspace_id:
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try:
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ws_uuid = UUID(workspace_id)
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except ValueError:
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api_logger.warning(f"Invalid workspace_id format: {workspace_id}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "无效的工作空间ID格式")
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else:
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ws_uuid = current_user.current_workspace_id
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if not ws_uuid:
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api_logger.warning(f"User {current_user.id} has no current workspace")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
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# 创建Service
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service = _get_dummy_ontology_service(db)
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# 根据是否提供 scene_name 决定查询方式
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if scene_name and scene_name.strip():
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# 验证分页参数（模糊搜索也支持分页）
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if page is not None and page < 1:
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api_logger.warning(f"Invalid page number: {page}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "页码必须大于0")
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if page_size is not None and page_size < 1:
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api_logger.warning(f"Invalid page_size: {page_size}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "每页数量必须大于0")
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# 如果只提供了page或page_size中的一个，返回错误
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if (page is not None and page_size is None) or (page is None and page_size is not None):
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api_logger.warning(f"Incomplete pagination params: page={page}, page_size={page_size}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "分页参数page和pagesize必须同时提供")
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# 模糊搜索场景（支持分页）
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scenes = service.search_scenes_by_name(scene_name.strip(), ws_uuid)
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total = len(scenes)
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# 如果提供了分页参数，进行分页处理
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if page is not None and page_size is not None:
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start_idx = (page - 1) * page_size
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end_idx = start_idx + page_size
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scenes = scenes[start_idx:end_idx]
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# 构建响应
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items = []
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for scene in scenes:
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# 获取前3个class_name作为entity_type
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entity_type = [cls.class_name for cls in scene.classes[:3]] if scene.classes else None
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# 动态计算 type_num
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type_num = len(scene.classes) if scene.classes else 0
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items.append(SceneResponse(
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scene_id=scene.scene_id,
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scene_name=scene.scene_name,
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scene_description=scene.scene_description,
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type_num=type_num,
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entity_type=entity_type,
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workspace_id=scene.workspace_id,
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created_at=scene.created_at,
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updated_at=scene.updated_at,
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classes_count=type_num
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))
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# 构建响应（包含分页信息）
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if page is not None and page_size is not None:
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# 计算是否有下一页
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hasnext = (page * page_size) < total
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pagination_info = PaginationInfo(
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page=page,
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pagesize=page_size,
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total=total,
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hasnext=hasnext
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)
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response = SceneListResponse(items=items, page=pagination_info)
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else:
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response = SceneListResponse(items=items)
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api_logger.info(
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f"Scene search completed: found {len(items)} scenes matching '{scene_name}' "
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f"in workspace {ws_uuid}, total={total}"
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)
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else:
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# 获取所有场景（支持分页）
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# 验证分页参数
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if page is not None and page < 1:
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api_logger.warning(f"Invalid page number: {page}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "页码必须大于0")
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if page_size is not None and page_size < 1:
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api_logger.warning(f"Invalid page_size: {page_size}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "每页数量必须大于0")
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# 如果只提供了page或page_size中的一个，返回错误
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if (page is not None and page_size is None) or (page is None and page_size is not None):
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api_logger.warning(f"Incomplete pagination params: page={page}, page_size={page_size}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "分页参数page和pagesize必须同时提供")
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scenes, total = service.list_scenes(ws_uuid, page, page_size)
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# 构建响应
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items = []
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for scene in scenes:
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# 获取前3个class_name作为entity_type
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entity_type = [cls.class_name for cls in scene.classes[:3]] if scene.classes else None
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# 动态计算 type_num
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type_num = len(scene.classes) if scene.classes else 0
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items.append(SceneResponse(
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scene_id=scene.scene_id,
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scene_name=scene.scene_name,
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scene_description=scene.scene_description,
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type_num=type_num,
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entity_type=entity_type,
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workspace_id=scene.workspace_id,
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created_at=scene.created_at,
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updated_at=scene.updated_at,
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classes_count=type_num
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))
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# 构建响应（包含分页信息）
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if page is not None and page_size is not None:
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# 计算是否有下一页
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hasnext = (page * page_size) < total
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pagination_info = PaginationInfo(
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page=page,
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pagesize=page_size,
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total=total,
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hasnext=hasnext
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)
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response = SceneListResponse(items=items, page=pagination_info)
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else:
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response = SceneListResponse(items=items)
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api_logger.info(f"Scene list retrieved successfully, count={len(items)}, total={total}")
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return success(data=response.model_dump(mode='json'), msg="查询成功")
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except ValueError as e:
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api_logger.warning(f"Validation error in scene {operation}: {str(e)}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", str(e))
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except RuntimeError as e:
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api_logger.error(f"Runtime error in scene {operation}: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
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except Exception as e:
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api_logger.error(f"Unexpected error in scene {operation}: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
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# ==================== 本体类型管理接口 ====================
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async def create_class_handler(
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request: ClassCreateRequest,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""创建本体类型（统一使用列表形式，支持单个或批量）"""
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# 根据列表长度判断是单个还是批量
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count = len(request.classes)
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mode = "single" if count == 1 else "batch"
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api_logger.info(
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f"Class creation ({mode}) requested by user {current_user.id}, "
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f"scene_id={request.scene_id}, count={count}"
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)
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try:
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# 获取当前工作空间ID
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workspace_id = current_user.current_workspace_id
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if not workspace_id:
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api_logger.warning(f"User {current_user.id} has no current workspace")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
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# 创建Service
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service = _get_dummy_ontology_service(db)
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# 准备类型数据
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classes_data = [
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{
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"class_name": item.class_name,
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"class_description": item.class_description
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}
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for item in request.classes
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]
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if count == 1:
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# 单个创建
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class_data = classes_data[0]
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ontology_class = service.create_class(
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scene_id=request.scene_id,
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class_name=class_data["class_name"],
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class_description=class_data["class_description"],
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workspace_id=workspace_id
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)
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# 构建单个响应
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response = ClassResponse(
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class_id=ontology_class.class_id,
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class_name=ontology_class.class_name,
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class_description=ontology_class.class_description,
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scene_id=ontology_class.scene_id,
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created_at=ontology_class.created_at,
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updated_at=ontology_class.updated_at
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)
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api_logger.info(f"Class created successfully: {ontology_class.class_id}")
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return success(data=response.model_dump(mode='json'), msg="类型创建成功")
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else:
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# 批量创建
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created_classes, errors = service.create_classes_batch(
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scene_id=request.scene_id,
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classes=classes_data,
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workspace_id=workspace_id
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)
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# 构建批量响应
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items = []
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for ontology_class in created_classes:
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items.append(ClassResponse(
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class_id=ontology_class.class_id,
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class_name=ontology_class.class_name,
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class_description=ontology_class.class_description,
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scene_id=ontology_class.scene_id,
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created_at=ontology_class.created_at,
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updated_at=ontology_class.updated_at
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))
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response = ClassBatchCreateResponse(
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total=len(classes_data),
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success_count=len(created_classes),
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failed_count=len(errors),
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items=items,
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errors=errors if errors else None
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)
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api_logger.info(
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f"Batch class creation completed: "
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f"success={len(created_classes)}, failed={len(errors)}"
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)
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return success(data=response.model_dump(mode='json'), msg="批量创建完成")
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except ValueError as e:
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api_logger.warning(f"Validation error in class creation: {str(e)}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", str(e))
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except RuntimeError as e:
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api_logger.error(f"Runtime error in class creation: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型创建失败", str(e))
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except Exception as e:
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api_logger.error(f"Unexpected error in class creation: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型创建失败", str(e))
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async def update_class_handler(
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class_id: str,
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request: ClassUpdateRequest,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""更新本体类型"""
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api_logger.info(
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f"Class update requested by user {current_user.id}, "
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f"class_id={class_id}"
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)
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try:
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# 验证UUID格式
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try:
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class_uuid = UUID(class_id)
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except ValueError:
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api_logger.warning(f"Invalid class_id format: {class_id}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "无效的类型ID格式")
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# 获取当前工作空间ID
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workspace_id = current_user.current_workspace_id
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if not workspace_id:
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api_logger.warning(f"User {current_user.id} has no current workspace")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
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# 创建Service
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service = _get_dummy_ontology_service(db)
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# 更新类型
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ontology_class = service.update_class(
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class_id=class_uuid,
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class_name=request.class_name,
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class_description=request.class_description,
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workspace_id=workspace_id
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)
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# 构建响应
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response = ClassResponse(
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class_id=ontology_class.class_id,
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class_name=ontology_class.class_name,
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class_description=ontology_class.class_description,
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scene_id=ontology_class.scene_id,
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created_at=ontology_class.created_at,
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updated_at=ontology_class.updated_at
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)
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api_logger.info(f"Class updated successfully: {class_id}")
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return success(data=response.model_dump(mode='json'), msg="类型更新成功")
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except ValueError as e:
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api_logger.warning(f"Validation error in class update: {str(e)}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", str(e))
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except RuntimeError as e:
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api_logger.error(f"Runtime error in class update: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型更新失败", str(e))
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except Exception as e:
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api_logger.error(f"Unexpected error in class update: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型更新失败", str(e))
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async def delete_class_handler(
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class_id: str,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""删除本体类型"""
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api_logger.info(
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f"Class deletion requested by user {current_user.id}, "
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f"class_id={class_id}"
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)
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try:
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# 验证UUID格式
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try:
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class_uuid = UUID(class_id)
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except ValueError:
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api_logger.warning(f"Invalid class_id format: {class_id}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "无效的类型ID格式")
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# 获取当前工作空间ID
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workspace_id = current_user.current_workspace_id
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if not workspace_id:
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api_logger.warning(f"User {current_user.id} has no current workspace")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
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# 创建Service
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service = _get_dummy_ontology_service(db)
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# 删除类型
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success_flag = service.delete_class(
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class_id=class_uuid,
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workspace_id=workspace_id
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)
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api_logger.info(f"Class deleted successfully: {class_id}")
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return success(data={"deleted": success_flag}, msg="类型删除成功")
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except ValueError as e:
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api_logger.warning(f"Validation error in class deletion: {str(e)}")
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return fail(BizCode.BAD_REQUEST, "请求参数无效", str(e))
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except RuntimeError as e:
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api_logger.error(f"Runtime error in class deletion: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型删除失败", str(e))
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except Exception as e:
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api_logger.error(f"Unexpected error in class deletion: {str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "类型删除失败", str(e))
|
||
|
||
|
||
async def get_class_handler(
|
||
class_id: str,
|
||
db: Session = Depends(get_db),
|
||
current_user: User = Depends(get_current_user)
|
||
):
|
||
"""获取单个本体类型"""
|
||
api_logger.info(
|
||
f"Get class requested by user {current_user.id}, "
|
||
f"class_id={class_id}"
|
||
)
|
||
|
||
try:
|
||
# 验证UUID格式
|
||
try:
|
||
class_uuid = UUID(class_id)
|
||
except ValueError:
|
||
api_logger.warning(f"Invalid class_id format: {class_id}")
|
||
return fail(BizCode.BAD_REQUEST, "请求参数无效", "无效的类型ID格式")
|
||
|
||
# 获取当前工作空间ID
|
||
workspace_id = current_user.current_workspace_id
|
||
if not workspace_id:
|
||
api_logger.warning(f"User {current_user.id} has no current workspace")
|
||
return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
|
||
|
||
# 创建Service
|
||
service = _get_dummy_ontology_service(db)
|
||
|
||
# 获取类型（会抛出ValueError如果不存在）
|
||
ontology_class = service.get_class_by_id(class_uuid, workspace_id)
|
||
|
||
# 构建响应
|
||
response = ClassResponse(
|
||
class_id=ontology_class.class_id,
|
||
class_name=ontology_class.class_name,
|
||
class_description=ontology_class.class_description,
|
||
scene_id=ontology_class.scene_id,
|
||
created_at=ontology_class.created_at,
|
||
updated_at=ontology_class.updated_at
|
||
)
|
||
|
||
api_logger.info(f"Class retrieved successfully: {class_id}")
|
||
|
||
return success(data=response.model_dump(mode='json'), msg="查询成功")
|
||
|
||
except ValueError as e:
|
||
# 类型不存在或无权限访问
|
||
api_logger.warning(f"Validation error in get class: {str(e)}")
|
||
return fail(BizCode.NOT_FOUND, "请求参数无效", str(e))
|
||
|
||
except RuntimeError as e:
|
||
api_logger.error(f"Runtime error in get class: {str(e)}", exc_info=True)
|
||
return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
|
||
|
||
except Exception as e:
|
||
api_logger.error(f"Unexpected error in get class: {str(e)}", exc_info=True)
|
||
return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
|
||
|
||
|
||
async def classes_handler(
|
||
scene_id: str,
|
||
class_name: Optional[str] = None,
|
||
db: Session = Depends(get_db),
|
||
current_user: User = Depends(get_current_user)
|
||
):
|
||
"""获取类型列表（支持模糊搜索和全量查询）
|
||
|
||
当提供 class_name 参数时，进行模糊搜索；
|
||
当不提供 class_name 参数时，返回场景下的所有类型。
|
||
|
||
Args:
|
||
scene_id: 场景ID（必填）
|
||
class_name: 类型名称关键词（可选，支持模糊匹配）
|
||
db: 数据库会话
|
||
current_user: 当前用户
|
||
"""
|
||
operation = "search" if class_name else "list"
|
||
api_logger.info(
|
||
f"Class {operation} requested by user {current_user.id}, "
|
||
f"keyword={class_name}, scene_id={scene_id}"
|
||
)
|
||
|
||
try:
|
||
# 验证UUID格式
|
||
try:
|
||
scene_uuid = UUID(scene_id)
|
||
except ValueError:
|
||
api_logger.warning(f"Invalid scene_id format: {scene_id}")
|
||
return fail(BizCode.BAD_REQUEST, "请求参数无效", "无效的场景ID格式")
|
||
|
||
# 获取当前工作空间ID
|
||
workspace_id = current_user.current_workspace_id
|
||
if not workspace_id:
|
||
api_logger.warning(f"User {current_user.id} has no current workspace")
|
||
return fail(BizCode.BAD_REQUEST, "请求参数无效", "当前用户没有工作空间")
|
||
|
||
# 创建Service
|
||
service = _get_dummy_ontology_service(db)
|
||
|
||
# 获取场景信息
|
||
scene = service.get_scene_by_id(scene_uuid, workspace_id)
|
||
if not scene:
|
||
api_logger.warning(f"Scene not found: {scene_id}")
|
||
return fail(BizCode.NOT_FOUND, "场景不存在", f"未找到ID为 {scene_id} 的场景")
|
||
|
||
# 根据是否提供 class_name 决定查询方式
|
||
if class_name and class_name.strip():
|
||
# 模糊搜索类型
|
||
classes = service.search_classes_by_name(class_name.strip(), scene_uuid, workspace_id)
|
||
else:
|
||
# 获取所有类型
|
||
classes = service.list_classes_by_scene(scene_uuid, workspace_id)
|
||
|
||
# 构建响应
|
||
items = []
|
||
for ontology_class in classes:
|
||
items.append(ClassResponse(
|
||
class_id=ontology_class.class_id,
|
||
class_name=ontology_class.class_name,
|
||
class_description=ontology_class.class_description,
|
||
scene_id=ontology_class.scene_id,
|
||
created_at=ontology_class.created_at,
|
||
updated_at=ontology_class.updated_at
|
||
))
|
||
|
||
response = ClassListResponse(
|
||
total=len(items),
|
||
scene_id=scene_uuid,
|
||
scene_name=scene.scene_name,
|
||
scene_description=scene.scene_description,
|
||
items=items
|
||
)
|
||
|
||
if class_name:
|
||
api_logger.info(
|
||
f"Class search completed: found {len(items)} classes matching '{class_name}' "
|
||
f"in scene {scene_id}"
|
||
)
|
||
else:
|
||
api_logger.info(f"Class list retrieved successfully, count={len(items)}")
|
||
|
||
return success(data=response.model_dump(mode='json'), msg="查询成功")
|
||
|
||
except ValueError as e:
|
||
api_logger.warning(f"Validation error in class {operation}: {str(e)}")
|
||
return fail(BizCode.BAD_REQUEST, "请求参数无效", str(e))
|
||
|
||
except RuntimeError as e:
|
||
api_logger.error(f"Runtime error in class {operation}: {str(e)}", exc_info=True)
|
||
return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
|
||
|
||
except Exception as e:
|
||
api_logger.error(f"Unexpected error in class {operation}: {str(e)}", exc_info=True)
|
||
return fail(BizCode.INTERNAL_ERROR, "查询失败", str(e))
|