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
This commit is contained in:
Jason Wang
2025-11-13 15:32:30 +08:00
committed by GitHub
parent 2660845b74
commit 45743f39f5
40 changed files with 3223 additions and 262 deletions

View File

@@ -29,16 +29,16 @@ export default function CreateAnnotationTask({
// Fetch datasets
const { data: datasetData } = await queryDatasetsUsingGet({
page: 0,
size: 1000,
pageSize: 1000, // Use camelCase for HTTP params
});
setDatasets(datasetData.content.map(mapDataset) || []);
// Fetch templates
const templateResponse = await queryAnnotationTemplatesUsingGet({
page: 1,
size: 100, // Backend max is 100
size: 100, // Backend max is 100 (template API uses 'size' not 'pageSize')
});
// The API returns: {code, message, data: {content, total, page, ...}}
if (templateResponse.code === 200 && templateResponse.data) {
const fetchedTemplates = templateResponse.data.content || [];
@@ -68,7 +68,6 @@ export default function CreateAnnotationTask({
try {
const values = await form.validateFields();
setSubmitting(true);
// Send templateId instead of labelingConfig
const requestData = {
name: values.name,
@@ -76,7 +75,6 @@ export default function CreateAnnotationTask({
datasetId: values.datasetId,
templateId: values.templateId,
};
await createAnnotationTaskUsingPost(requestData);
message?.success?.("创建标注任务成功");
onClose();
@@ -154,7 +152,6 @@ export default function CreateAnnotationTask({
/>
</Form.Item>
</div>
{/* 描述变为可选 */}
<Form.Item label="描述" name="description">
<TextArea placeholder="(可选)详细描述标注任务的要求和目标" rows={3} />