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

scripts/db/data-annotation-init.sql

@@ -1,21 +1,379 @@
 use datamate;
 
 CREATE TABLE t_dm_annotation_templates (
-    id VARCHAR(36) PRIMARY KEY,
-    name VARCHAR(32) NOT NULL COMMENT '模板名称',
-    description VARCHAR(255) COMMENT '模板描述',
-    configuration JSON,
+    id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
+    name VARCHAR(100) NOT NULL COMMENT '模板名称',
+    description VARCHAR(500) COMMENT '模板描述',
+    data_type VARCHAR(50) NOT NULL COMMENT '数据类型: image/text/audio/video/timeseries',
+    labeling_type VARCHAR(50) NOT NULL COMMENT '标注类型: classification/detection/segmentation/ner/relation/etc',
+    configuration JSON NOT NULL COMMENT '标注配置（包含labels定义等）',
+    style VARCHAR(32) NOT NULL COMMENT '样式配置: horizontal/vertical',
+    category VARCHAR(50) DEFAULT 'custom' COMMENT '模板分类: medical/general/custom/system',
+    built_in BOOLEAN DEFAULT FALSE COMMENT '是否系统内置模板',
+    version VARCHAR(20) DEFAULT '1.0' COMMENT '模板版本',
     created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
-    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）'
-);
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
+    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）',
+    INDEX idx_data_type (data_type),
+    INDEX idx_labeling_type (labeling_type),
+    INDEX idx_category (category),
+    INDEX idx_built_in (built_in)
+) COMMENT='标注配置模板表';
 
 CREATE TABLE t_dm_labeling_projects (
-    id VARCHAR(36) PRIMARY KEY,
+    id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
     dataset_id VARCHAR(36) NOT NULL COMMENT '数据集ID',
-    name VARCHAR(32) NOT NULL COMMENT '项目名称',
+    name VARCHAR(100) NOT NULL COMMENT '项目名称',
     labeling_project_id VARCHAR(8) NOT NULL COMMENT 'Label Studio项目ID',
-    configuration JSON,
-    progress JSON,
+    template_id VARCHAR(36) NULL COMMENT '使用的模板ID',
+    configuration JSON COMMENT '项目配置（可能包含对模板的自定义修改）',
+    progress JSON COMMENT '项目进度信息',
     created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
-    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）'
-);
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
+    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）',
+    FOREIGN KEY (template_id) REFERENCES t_dm_annotation_templates(id) ON DELETE SET NULL,
+    INDEX idx_dataset_id (dataset_id),
+    INDEX idx_template_id (template_id),
+    INDEX idx_labeling_project_id (labeling_project_id)
+) COMMENT='标注项目表';
+
+
+-- 内置标注模板初始化数据
+-- 这些模板将在系统首次启动时自动创建
+-- 使用 INSERT ... ON DUPLICATE KEY UPDATE 来覆盖已存在的记录
+
+-- 1. 图像分类模板
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-image-classification-001',
+    'Image Classification',
+    'Simple image classification with multiple choice labels',
+    'image',
+    'classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'choice',
+                'toName', 'image',
+                'type', 'Choices',
+                'options', JSON_ARRAY('Cat', 'Dog', 'Bird', 'Other'),
+                'required', true,
+                'description', 'Select the category that best describes the image'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'image',
+                'type', 'Image',
+                'value', '$image'
+            )
+        )
+    ),
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();
+
+-- 2. 目标检测模板（矩形框）
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-object-detection-001',
+    'Object Detection (Bounding Box)',
+    'Object detection using rectangular bounding boxes',
+    'image',
+    'object-detection',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'label',
+                'toName', 'image',
+                'type', 'RectangleLabels',
+                'labels', JSON_ARRAY('Person', 'Vehicle', 'Animal', 'Object'),
+                'required', false,
+                'description', 'Draw bounding boxes around objects'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'image',
+                'type', 'Image',
+                'value', '$image'
+            )
+        )
+    ),
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();
+
+-- 3. 图像分割模板（多边形）
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-image-segmentation-001',
+    'Image Segmentation (Polygon)',
+    'Semantic segmentation using polygon annotations',
+    'image',
+    'segmentation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'label',
+                'toName', 'image',
+                'type', 'PolygonLabels',
+                'labels', JSON_ARRAY('Background', 'Foreground', 'Person', 'Car'),
+                'required', false,
+                'description', 'Draw polygons to segment regions'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'image',
+                'type', 'Image',
+                'value', '$image'
+            )
+        )
+    ),
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();
+
+-- 4. 文本分类模板
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-text-classification-001',
+    'Text Classification',
+    'Classify text into predefined categories',
+    'text',
+    'classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'choice',
+                'toName', 'text',
+                'type', 'Choices',
+                'options', JSON_ARRAY('Positive', 'Negative', 'Neutral'),
+                'required', true,
+                'description', 'Sentiment classification'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'text',
+                'type', 'Text',
+                'value', '$text'
+            )
+        )
+    ),
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();
+
+-- 5. 命名实体识别（NER）模板
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-ner-001',
+    'Named Entity Recognition',
+    'Extract and label named entities in text',
+    'text',
+    'ner',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'label',
+                'toName', 'text',
+                'type', 'Labels',
+                'labels', JSON_ARRAY('PERSON', 'ORG', 'LOC', 'DATE', 'MISC'),
+                'required', false,
+                'description', 'Highlight and classify named entities'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'text',
+                'type', 'Text',
+                'value', '$text'
+            )
+        )
+    ),
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();
+
+-- 6. 音频分类模板
+INSERT INTO t_dm_annotation_templates (
+    id, 
+    name, 
+    description, 
+    data_type, 
+    labeling_type, 
+    configuration, 
+    style, 
+    category, 
+    built_in, 
+    version, 
+    created_at
+) VALUES (
+    'tpl-audio-classification-001',
+    'Audio Classification',
+    'Classify audio clips into categories',
+    'audio',
+    'classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT(
+                'fromName', 'choice',
+                'toName', 'audio',
+                'type', 'Choices',
+                'options', JSON_ARRAY('Speech', 'Music', 'Noise', 'Silence'),
+                'required', true,
+                'description', 'Audio content classification'
+            )
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT(
+                'name', 'audio',
+                'type', 'Audio',
+                'value', '$audio'
+            )
+        )
+    ),
+    'horizontal',
+    'audio',
+    1,
+    '1.0.0',
+    NOW()
+)
+ON DUPLICATE KEY UPDATE
+    name = VALUES(name),
+    description = VALUES(description),
+    data_type = VALUES(data_type),
+    labeling_type = VALUES(labeling_type),
+    configuration = VALUES(configuration),
+    style = VALUES(style),
+    category = VALUES(category),
+    built_in = VALUES(built_in),
+    version = VALUES(version),
+    updated_at = NOW();