feat: data annotation page adaptation to backend API. Improve labeling project creation module.

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

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

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

@@ -1,5 +1,6 @@
+from .config import ConfigResponse
+
 from .mapping import (
-    _DatasetMappingBase,
     DatasetMappingCreateRequest,
     DatasetMappingCreateResponse,
     DatasetMappingUpdateRequest,
@@ -13,7 +14,7 @@ from .sync import (
 )
 
 __all__ = [
-    "_DatasetMappingBase",
+    "ConfigResponse",
     "DatasetMappingCreateRequest",
     "DatasetMappingCreateResponse",
     "DatasetMappingUpdateRequest",

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

@@ -0,0 +1,8 @@
+from pydantic import Field
+
+from app.module.shared.schema import BaseResponseModel
+from app.module.shared.schema import StandardResponse
+
+class ConfigResponse(BaseResponseModel):
+    """配置信息响应模型"""
+    label_studio_url: str = Field(..., description="Label Studio基础URL")

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

@@ -1,17 +1,27 @@
-from pydantic import Field
+from pydantic import Field, BaseModel
 from typing import Optional
 from datetime import datetime
 
 from app.module.shared.schema import BaseResponseModel
 from app.module.shared.schema import StandardResponse
 
-class _DatasetMappingBase(BaseResponseModel):
-    """数据集映射 基础模型"""
-    dataset_id: str = Field(..., description="源数据集ID")
 
-class DatasetMappingCreateRequest(_DatasetMappingBase):
-    """数据集映射 创建 请求模型"""
-    pass
+class DatasetMappingCreateRequest(BaseModel):
+    """数据集映射 创建 请求模型
+
+    Accept both snake_case and camelCase field names from frontend JSON by
+    declaring explicit aliases. Frontend sends `datasetId`, `name`,
+    `description` (camelCase), so provide aliases so pydantic will map them
+    to the internal attributes used in the service code (dataset_id, name,
+    description).
+    """
+    dataset_id: str = Field(..., alias="datasetId", description="源数据集ID")
+    name: Optional[str] = Field(None, alias="name", description="标注项目名称")
+    description: Optional[str] = Field(None, alias="description", description="标注项目描述")
+
+    class Config:
+        # allow population by field name when constructing model programmatically
+        allow_population_by_field_name = True
 
 class DatasetMappingCreateResponse(BaseResponseModel):
     """数据集映射 创建 响应模型"""
@@ -23,7 +33,8 @@ class DatasetMappingUpdateRequest(BaseResponseModel):
     """数据集映射 更新 请求模型"""
     dataset_id: Optional[str] = Field(None, description="源数据集ID")
 
-class DatasetMappingResponse(_DatasetMappingBase):
+class DatasetMappingResponse(BaseModel):
+    dataset_id: str = Field(..., description="源数据集ID")
     """数据集映射 查询 响应模型"""
     id: str = Field(..., description="映射UUID")
     labeling_project_id: str = Field(..., description="标注项目ID")