feat: add labeling template. refactor: switch to Poetry, build and deploy of backend Python (#79)

* 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

* feat: Add tag configuration management and related components

- Introduced new components for tag selection and browsing in the frontend.
- Added API endpoint to fetch tag configuration from the backend.
- Implemented tag configuration management in the backend, including loading from YAML.
- Enhanced template service to support dynamic tag rendering based on configuration.
- Updated validation utilities to incorporate tag configuration checks.
- Refactored existing code to utilize the new tag configuration structure.

* feat: Refactor LabelStudioTagConfig for improved configuration loading and validation

* feat: Update Makefile to include backend-python-docker-build in the build process

* feat: Migrate to poetry for better deps management

* Add pyyaml dependency and update Dockerfile to use Poetry for dependency management

- Added pyyaml (>=6.0.3,<7.0.0) to pyproject.toml dependencies.
- Updated Dockerfile to install Poetry and manage dependencies using it.
- Improved layer caching by copying only dependency files before the application code.
- Removed unnecessary installation of build dependencies to keep the final image size small.

* feat: Remove duplicated backend-python-docker-build target from Makefile

* fix: airflow is not ready for adding yet

* feat: update Python version to 3.12 and remove project installation step in Dockerfile

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

@@ -1,6 +1,10 @@
 from .dataset_file import (
     DatasetFileResponse,
     PagedDatasetFileResponse,
+    BatchUpdateFileTagsRequest,
+    BatchUpdateFileTagsResponse,
+    FileTagUpdateResult,
+    FileTagUpdate,
 )
 
 from .dataset import (
@@ -13,4 +17,8 @@ __all__ = [
     "DatasetFileResponse",
     "PagedDatasetFileResponse",
     "DatasetTypeResponse",
+    "BatchUpdateFileTagsRequest",
+    "BatchUpdateFileTagsResponse",
+    "FileTagUpdateResult",
+    "FileTagUpdate",
 ]

runtime/datamate-python/app/module/dataset/schema/dataset_file.py

@@ -49,3 +49,42 @@ class DatasetFileTag(BaseModel):
             tags = [f"{self.from_name} {tag}" for tag in tags]
 
         return tags
+
+
+class FileTagUpdate(BaseModel):
+    """单个文件的标签更新请求"""
+    file_id: str = Field(..., alias="fileId", description="文件ID")
+    tags: List[Dict[str, Any]] = Field(..., description="要更新的标签列表（部分更新）")
+    
+    class Config:
+        populate_by_name = True
+
+
+class BatchUpdateFileTagsRequest(BaseModel):
+    """批量更新文件标签请求"""
+    updates: List[FileTagUpdate] = Field(..., description="文件标签更新列表", min_length=1)
+    
+    class Config:
+        populate_by_name = True
+
+
+class FileTagUpdateResult(BaseModel):
+    """单个文件标签更新结果"""
+    file_id: str = Field(..., alias="fileId", description="文件ID")
+    success: bool = Field(..., description="是否更新成功")
+    message: Optional[str] = Field(None, description="结果信息")
+    tags_updated_at: Optional[datetime] = Field(None, alias="tagsUpdatedAt", description="标签更新时间")
+    
+    class Config:
+        populate_by_name = True
+
+
+class BatchUpdateFileTagsResponse(BaseModel):
+    """批量更新文件标签响应"""
+    results: List[FileTagUpdateResult] = Field(..., description="更新结果列表")
+    total: int = Field(..., description="总更新数量")
+    success_count: int = Field(..., alias="successCount", description="成功数量")
+    failure_count: int = Field(..., alias="failureCount", description="失败数量")
+    
+    class Config:
+        populate_by_name = True