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/annotation/interface/config.py

@@ -0,0 +1,47 @@
+from fastapi import APIRouter
+
+from app.module.shared.schema import StandardResponse
+from app.core.logging import get_logger
+from app.core.config import settings
+
+from ..schema import (
+    ConfigResponse,
+    TagConfigResponse
+)
+from ..config.tag_config import LabelStudioTagConfig
+
+router = APIRouter(
+    prefix="/tags",
+    tags=["annotation/config"]
+)
+logger = get_logger(__name__)
+
+@router.get("", response_model=StandardResponse[ConfigResponse])
+async def get_config():
+    """获取配置信息（已废弃，请使用 /api/annotation/about）"""
+    return StandardResponse(
+        code=200,
+        message="success",
+        data=ConfigResponse(
+            label_studio_url=settings.label_studio_base_url,
+        )
+    )
+
+@router.get("/config", response_model=StandardResponse[TagConfigResponse], summary="获取标签配置")
+async def get_tag_config():
+    """
+    获取所有Label Studio标签类型的配置（对象+控件），用于前端动态渲染。
+    """
+    # Ensure config is loaded by instantiating the class
+    tag_config = LabelStudioTagConfig()
+    config = LabelStudioTagConfig._config
+    
+    if not config:
+        logger.error("Failed to load tag configuration")
+        return StandardResponse(
+            code=500, 
+            message="Failed to load tag configuration",
+            data={"objects": {}, "controls": {}}
+        )
+    
+    return StandardResponse(code=200, message="success", data=config)