deepdata: core product code (backend, frontend, runtime, deepflow module)
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figmar
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import asyncio
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import uuid
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import math
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import json
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from typing import Optional
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from fastapi import APIRouter, Depends, Query
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select, func
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from app.core.logging import get_logger
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from app.core.exception import ErrorCodes, BusinessError, SuccessResponse
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from app.db.models.data_evaluation import EvaluationFile
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from app.db.session import get_db
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from app.db.models import EvaluationTask, EvaluationItem, DatasetFiles
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from app.module.evaluation.schema.evaluation import (
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CreateEvaluationTaskRequest,
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PagedEvaluationTaskResponse,
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EvaluationTaskDetailResponse,
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PagedEvaluationItemsResponse,
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EvaluationItemResponse, PagedEvaluationFilesResponse, EvaluationFileResponse
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)
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from app.module.evaluation.schema.prompt import get_prompt
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from app.module.evaluation.schema.prompt_template import PromptTemplateResponse
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from app.module.evaluation.service.prompt_template_service import PromptTemplateService
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from app.module.evaluation.service.evaluation import EvaluationTaskService
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from app.module.shared.schema.common import StandardResponse, TaskStatus
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from app.module.system.service.common_service import get_model_by_id
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router = APIRouter(
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prefix="",
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tags=["evaluation"],
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)
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logger = get_logger(__name__)
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@router.get("/prompt-templates", response_model=StandardResponse[PromptTemplateResponse])
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async def get_prompt_templates():
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"""
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获取所有可用的评估提示模板
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Returns:
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StandardResponse with list of prompt templates
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"""
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templates = PromptTemplateService.get_prompt_templates()
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return SuccessResponse(data=templates)
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@router.post("/tasks", response_model=StandardResponse[EvaluationTaskDetailResponse])
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async def create_evaluation_task(
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request: CreateEvaluationTaskRequest,
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db: AsyncSession = Depends(get_db)
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):
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"""
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创建评估任务
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Args:
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request: 创建评估任务请求
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db: 数据库会话
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Returns:
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StandardResponse[EvaluationTaskDetailResponse]: 创建的任务详情
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"""
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# 检查任务名称是否已存在
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existing_task = await db.execute(
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select(EvaluationTask).where(EvaluationTask.name == request.name)
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)
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if existing_task.scalar_one_or_none():
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raise BusinessError(ErrorCodes.EVALUATION_MODEL_NOT_FOUND, data={"name": request.name})
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models = await get_model_by_id(db, request.eval_config.model_id)
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if not models:
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raise BusinessError(ErrorCodes.EVALUATION_MODEL_NOT_FOUND, data={"model_id": request.eval_config.model_id})
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# 创建评估任务
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task = EvaluationTask(
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id=str(uuid.uuid4()),
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name=request.name,
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description=request.description,
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task_type=request.task_type,
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source_type=request.source_type,
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source_id=request.source_id,
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source_name=request.source_name,
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eval_prompt=request.eval_prompt,
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eval_config=json.dumps({
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"modelId": request.eval_config.model_id,
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"modelName": models.model_name,
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"dimensions": request.eval_config.dimensions,
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}),
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status=TaskStatus.PENDING.value,
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eval_process=0.0,
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)
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db.add(task)
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# Commit first to persist the task before scheduling background work
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await db.commit()
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# Schedule background execution without blocking the current request
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asyncio.create_task(EvaluationTaskService.run_evaluation_task(task.id))
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# Refresh the task to return latest state
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await db.refresh(task)
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# 转换响应模型
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response = _map_to_task_detail_response(task)
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return SuccessResponse(
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data=response,
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message="Evaluation task created successfully"
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)
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@router.get("/tasks", response_model=StandardResponse[PagedEvaluationTaskResponse])
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async def list_evaluation_tasks(
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page: int = Query(1, ge=1, description="页码，从1开始"),
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size: int = Query(10, ge=1, le=100, description="每页数量"),
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name: Optional[str] = Query(None, description="任务名称模糊查询"),
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status: Optional[str] = Query(None, description="任务状态过滤"),
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task_type: Optional[str] = Query(None, description="任务类型过滤"),
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db: AsyncSession = Depends(get_db),
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):
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"""
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分页查询评估任务
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Args:
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page: 页码，从1开始
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size: 每页数量
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name: 任务名称模糊查询
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status: 任务状态过滤
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task_type: 任务类型过滤
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db: 数据库会话
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Returns:
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StandardResponse[PagedEvaluationTaskResponse]: 分页的评估任务列表
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"""
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# 构建查询条件
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query = select(EvaluationTask)
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if name:
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query = query.where(EvaluationTask.name.ilike(f"%{name}%"))
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if status:
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query = query.where(EvaluationTask.status == status)
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if task_type:
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query = query.where(EvaluationTask.task_type == task_type)
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# 获取总数
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count_query = select(func.count()).select_from(query.subquery())
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total = (await db.execute(count_query)).scalar_one()
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# 分页查询
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offset = (page - 1) * size
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tasks = (await db.execute(
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query.order_by(EvaluationTask.created_at.desc())
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.offset(offset)
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.limit(size)
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)).scalars().all()
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# 转换为响应模型
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items = [_map_to_task_detail_response(task) for task in tasks]
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total_pages = math.ceil(total / size) if total > 0 else 0
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return SuccessResponse(
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data=PagedEvaluationTaskResponse(
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content=items,
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totalElements=total,
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totalPages=total_pages,
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page=page,
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size=size,
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)
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)
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@router.get("/tasks/{task_id}/files", response_model=StandardResponse[PagedEvaluationFilesResponse])
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async def list_evaluation_files(
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task_id: str,
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page: int = Query(1, ge=1, description="页码，从1开始"),
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size: int = Query(10, ge=1, le=100, description="每页数量"),
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db: AsyncSession = Depends(get_db),
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):
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"""
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分页查询评估文件
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Args:
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task_id: 评估任务ID
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page: 页码，从1开始
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size: 每页数量
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db: 数据库会话
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Returns:
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StandardResponse[PagedEvaluationFilesResponse]: 分页的评估文件列表
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"""
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task = await db.get(EvaluationTask, task_id)
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if not task:
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raise BusinessError(ErrorCodes.EVALUATION_TASK_NOT_FOUND, data={"task_id": task_id})
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offset = (page - 1) * size
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query = select(EvaluationFile).where(EvaluationFile.task_id == task_id)
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count_query = select(func.count()).select_from(query.subquery())
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total = (await db.execute(count_query)).scalar_one()
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files = (await db.execute(query.offset(offset).limit(size))).scalars().all()
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total_pages = math.ceil(total / size) if total > 0 else 0
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file_responses = [
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EvaluationFileResponse(
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taskId=file.task_id,
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fileId=file.file_id,
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fileName=file.file_name,
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totalCount=file.total_count,
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evaluatedCount=file.evaluated_count,
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pendingCount=file.total_count - file.evaluated_count
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)
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for file in files
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]
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return SuccessResponse(
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data=PagedEvaluationFilesResponse(
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content=file_responses,
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totalElements=total,
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totalPages=total_pages,
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page=page,
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size=size,
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)
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)
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@router.get("/tasks/{task_id}/items", response_model=StandardResponse[PagedEvaluationItemsResponse])
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async def list_evaluation_items(
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task_id: str,
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page: int = Query(1, ge=1, description="页码，从1开始"),
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size: int = Query(10, ge=1, le=100, description="每页数量"),
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status: Optional[str] = Query(None, description="状态过滤"),
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file_id: Optional[str] = Query(None, description="文件过滤"),
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db: AsyncSession = Depends(get_db),
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):
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"""
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分页查询评估条目
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Args:
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task_id: 评估任务ID
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page: 页码，从1开始
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size: 每页数量
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status: 状态过滤
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file_id: 文件过滤
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db: 数据库会话
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Returns:
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StandardResponse[PagedEvaluationItemsResponse]: 分页的评估条目列表
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"""
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# 检查任务是否存在
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task = await db.get(EvaluationTask, task_id)
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if not task:
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raise BusinessError(ErrorCodes.EVALUATION_TASK_NOT_FOUND, data={"task_id": task_id})
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# 构建查询条件
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query = select(EvaluationItem).where(EvaluationItem.task_id == task_id)
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if status:
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query = query.where(EvaluationItem.status == status)
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if file_id:
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query = query.where(EvaluationItem.file_id == file_id)
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# 获取总数
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count_query = select(func.count()).select_from(query.subquery())
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total = (await db.execute(count_query)).scalar_one()
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# 分页查询
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offset = (page - 1) * size
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items = (await db.execute(query.offset(offset).limit(size))).scalars().all()
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# 转换为响应模型
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item_responses = [
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EvaluationItemResponse(
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id=item.id,
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taskId=item.task_id,
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itemId=item.item_id,
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fileId=item.file_id,
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evalContent=json.loads(item.eval_content) if item.eval_content else None,
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evalScore=float(item.eval_score) if item.eval_score else None,
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evalResult=json.loads(item.eval_result),
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status=item.status
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)
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for item in items
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]
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total_pages = math.ceil(total / size) if total > 0 else 0
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return SuccessResponse(
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data=PagedEvaluationItemsResponse(
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content=item_responses,
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totalElements=total,
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totalPages=total_pages,
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page=page,
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size=size,
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)
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)
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@router.get("/tasks/{task_id}", response_model=StandardResponse[EvaluationTaskDetailResponse])
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async def get_evaluation_task(
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task_id: str,
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db: AsyncSession = Depends(get_db),
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):
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"""
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获取评估任务详情
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Args:
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task_id: 任务ID
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db: 数据库会话
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Returns:
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StandardResponse[EvaluationTaskDetailResponse]: 评估任务详情
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"""
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task = await db.get(EvaluationTask, task_id)
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if not task:
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raise BusinessError(ErrorCodes.EVALUATION_TASK_NOT_FOUND, data={"task_id": task_id})
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# 转换为响应模型
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response = _map_to_task_detail_response(task)
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return SuccessResponse(data=response)
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@router.delete("/tasks", response_model=StandardResponse[str], status_code=200)
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async def delete_eval_tasks(
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ids: list[str] = Query(..., description="要删除的评估任务ID列表"),
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db: AsyncSession = Depends(get_db),
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):
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"""
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删除评估任务
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Args:
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ids: 任务ID
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db: 数据库会话
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Returns:
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StandardResponse[str]: 删除结果
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"""
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# 检查任务是否存在
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task_id = ids[0]
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task = await db.get(EvaluationTask, task_id)
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if not task:
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raise BusinessError(ErrorCodes.EVALUATION_TASK_NOT_FOUND, data={"task_id": task_id})
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# 删除评估项
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await db.execute(
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EvaluationItem.__table__.delete()
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.where(EvaluationItem.task_id == task_id)
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)
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# 删除评估文件
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await db.execute(
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EvaluationFile.__table__.delete()
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.where(EvaluationFile.task_id == task_id)
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)
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# 删除任务
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await db.delete(task)
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await db.commit()
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return SuccessResponse(
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data="success",
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message="Evaluation task deleted successfully"
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)
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def _map_to_task_detail_response(
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task: EvaluationTask
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) -> EvaluationTaskDetailResponse:
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"""将数据库模型转换为任务详情响应模型"""
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task_response = EvaluationTaskDetailResponse(
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id=task.id,
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name=task.name,
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description=task.description,
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taskType=task.task_type,
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sourceType=task.source_type,
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sourceId=task.source_id,
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sourceName=task.source_name,
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status=task.status,
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evalMethod=task.eval_method,
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evalProcess=task.eval_process,
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evalPrompt=task.eval_prompt,
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evalConfig=json.loads(task.eval_config),
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createdAt=task.created_at.isoformat() if task.created_at else None,
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updatedAt=task.updated_at.isoformat() if task.updated_at else None,
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)
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task_response.eval_prompt = get_prompt(task_response.task_type, task_response.eval_config.get("dimensions"))
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return task_response
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