feat: Labeling Frontend adaptations + Backend build and deploy + Logging improvement (#55)

* feat: Front-end data annotation page adaptation to the backend API.

* feat: Implement labeling configuration editor and enhance annotation task creation form

* feat: add python backend build and deployment; add backend configuration for Label Studio integration and improve logging setup

* refactor: remove duplicate log configuration

runtime/datamate-python/app/module/annotation/interface/about.py

@@ -1,20 +1,10 @@
-from fastapi import APIRouter, Depends, HTTPException, Query
-from sqlalchemy.ext.asyncio import AsyncSession
-from typing import List, Optional
+from fastapi import APIRouter
 
-from app.db.session import get_db
 from app.module.shared.schema import StandardResponse
-from app.module.dataset import DatasetManagementService
 from app.core.logging import get_logger
 from app.core.config import settings
-from app.exception import NoDatasetInfoFoundError, DatasetMappingNotFoundError
 
-from ..client import LabelStudioClient
-from ..service.sync import SyncService
-from ..service.mapping import DatasetMappingService
-from ..schema import (
-    ConfigResponse
-)
+from ..schema import ConfigResponse
 
 
 router = APIRouter(

runtime/datamate-python/app/module/annotation/schema/mapping.py

@@ -21,7 +21,7 @@ class DatasetMappingCreateRequest(BaseModel):
 
     class Config:
         # allow population by field name when constructing model programmatically
-        allow_population_by_field_name = True
+        validate_by_name = True
 
 class DatasetMappingCreateResponse(BaseResponseModel):
     """数据集映射 创建 响应模型"""