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

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

@@ -0,0 +1,93 @@
+"""
+Annotation Template Schemas
+"""
+from typing import List, Dict, Any, Optional, Literal
+from datetime import datetime
+from pydantic import BaseModel, Field, ConfigDict
+
+
+class LabelDefinition(BaseModel):
+    """标签定义"""
+    from_name: str = Field(alias="fromName", description="控件名称")
+    to_name: str = Field(alias="toName", description="目标对象名称")
+    type: str = Field(description="控件类型: choices/rectanglelabels/polygonlabels/textarea/etc")
+    options: Optional[List[str]] = Field(None, description="选项列表（用于choices类型）")
+    labels: Optional[List[str]] = Field(None, description="标签列表（用于rectanglelabels等类型）")
+    required: bool = Field(False, description="是否必填")
+    description: Optional[str] = Field(None, description="标签描述")
+    
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class ObjectDefinition(BaseModel):
+    """对象定义"""
+    name: str = Field(description="对象标识符")
+    type: str = Field(description="对象类型: Image/Text/Audio/Video/etc")
+    value: str = Field(description="变量名，如$image")
+    
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class TemplateConfiguration(BaseModel):
+    """模板配置结构"""
+    labels: List[LabelDefinition] = Field(description="标签定义列表")
+    objects: List[ObjectDefinition] = Field(description="对象定义列表")
+    metadata: Optional[Dict[str, Any]] = Field(None, description="额外元数据")
+    
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class CreateAnnotationTemplateRequest(BaseModel):
+    """创建标注模板请求"""
+    name: str = Field(..., min_length=1, max_length=100, description="模板名称")
+    description: Optional[str] = Field(None, max_length=500, description="模板描述")
+    data_type: str = Field(alias="dataType", description="数据类型")
+    labeling_type: str = Field(alias="labelingType", description="标注类型")
+    configuration: TemplateConfiguration = Field(..., description="标注配置")
+    style: str = Field(default="horizontal", description="样式配置")
+    category: str = Field(default="custom", description="模板分类")
+    
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class UpdateAnnotationTemplateRequest(BaseModel):
+    """更新标注模板请求"""
+    name: Optional[str] = Field(None, min_length=1, max_length=100, description="模板名称")
+    description: Optional[str] = Field(None, max_length=500, description="模板描述")
+    data_type: Optional[str] = Field(None, alias="dataType", description="数据类型")
+    labeling_type: Optional[str] = Field(None, alias="labelingType", description="标注类型")
+    configuration: Optional[TemplateConfiguration] = Field(None, description="标注配置")
+    style: Optional[str] = Field(None, description="样式配置")
+    category: Optional[str] = Field(None, description="模板分类")
+    
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class AnnotationTemplateResponse(BaseModel):
+    """标注模板响应"""
+    id: str = Field(..., description="模板ID")
+    name: str = Field(..., description="模板名称")
+    description: Optional[str] = Field(None, description="模板描述")
+    data_type: str = Field(alias="dataType", description="数据类型")
+    labeling_type: str = Field(alias="labelingType", description="标注类型")
+    configuration: TemplateConfiguration = Field(..., description="标注配置")
+    label_config: Optional[str] = Field(None, alias="labelConfig", description="生成的Label Studio XML配置")
+    style: str = Field(..., description="样式配置")
+    category: str = Field(..., description="模板分类")
+    built_in: bool = Field(alias="builtIn", description="是否内置模板")
+    version: str = Field(..., description="版本号")
+    created_at: datetime = Field(alias="createdAt", description="创建时间")
+    updated_at: Optional[datetime] = Field(None, alias="updatedAt", description="更新时间")
+    
+    model_config = ConfigDict(populate_by_name=True, from_attributes=True)
+
+
+class AnnotationTemplateListResponse(BaseModel):
+    """模板列表响应"""
+    content: List[AnnotationTemplateResponse] = Field(..., description="模板列表")
+    total: int = Field(..., description="总数")
+    page: int = Field(..., description="当前页")
+    size: int = Field(..., description="每页大小")
+    total_pages: int = Field(alias="totalPages", description="总页数")
+    
+    model_config = ConfigDict(populate_by_name=True)