feat: Add labeling template (#72)

* feat: Enhance annotation module with template management and validation

- Added DatasetMappingCreateRequest and DatasetMappingUpdateRequest schemas to handle dataset mapping requests with camelCase and snake_case support.
- Introduced Annotation Template schemas including CreateAnnotationTemplateRequest, UpdateAnnotationTemplateRequest, and AnnotationTemplateResponse for managing annotation templates.
- Implemented AnnotationTemplateService for creating, updating, retrieving, and deleting annotation templates, including validation of configurations and XML generation.
- Added utility class LabelStudioConfigValidator for validating Label Studio configurations and XML formats.
- Updated database schema for annotation templates and labeling projects to include new fields and constraints.
- Seeded initial annotation templates for various use cases including image classification, object detection, and text classification.

* feat: Enhance TemplateForm with improved validation and dynamic field rendering; update LabelStudio config validation for camelCase support

* feat: Update docker-compose.yml to mark datamate dataset volume and network as external

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

@@ -11,13 +11,14 @@ class DatasetMappingCreateRequest(BaseModel):
 
     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
+    `description`, `templateId` (camelCase), so provide aliases so pydantic will map them
     to the internal attributes used in the service code (dataset_id, name,
-    description).
+    description, template_id).
     """
     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")
+    template_id: Optional[str] = Field(None, alias="templateId", description="标注模板ID")
 
     class Config:
         # allow population by field name when constructing model programmatically
@@ -34,13 +35,16 @@ class DatasetMappingUpdateRequest(BaseResponseModel):
     dataset_id: Optional[str] = Field(None, description="源数据集ID")
 
 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")
+    dataset_id: str = Field(..., alias="datasetId", description="源数据集ID")
+    dataset_name: Optional[str] = Field(None, alias="datasetName", description="数据集名称")
+    labeling_project_id: str = Field(..., alias="labelingProjectId", description="标注项目ID")
     name: Optional[str] = Field(None, description="标注项目名称")
-    created_at: datetime = Field(..., description="创建时间")
-    deleted_at: Optional[datetime] = Field(None, description="删除时间")
+    description: Optional[str] = Field(None, description="标注项目描述")
+    created_at: datetime = Field(..., alias="createdAt", description="创建时间")
+    updated_at: Optional[datetime] = Field(None, alias="updatedAt", description="更新时间")
+    deleted_at: Optional[datetime] = Field(None, alias="deletedAt", description="删除时间")
     
     class Config:
         from_attributes = True