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

@@ -18,7 +18,7 @@ build-%:
$(MAKE) $*-docker-build
.PHONY: build
build: database-docker-build backend-docker-build frontend-docker-build runtime-docker-build
build: backend-docker-build frontend-docker-build runtime-docker-build backend-python-docker-build
.PHONY: create-namespace
create-namespace:
@@ -117,9 +117,9 @@ frontend-docker-build:
runtime-docker-build:
docker build -t datamate-runtime:$(VERSION) . -f scripts/images/runtime/Dockerfile
.PHONY: label-studio-adapter-docker-build
label-studio-adapter-docker-build:
docker build -t label-studio-adapter:$(VERSION) . -f scripts/images/label-studio-adapter/Dockerfile
.PHONY: backend-python-docker-build
backend-python-docker-build:
docker build -t datamate-backend-python:$(VERSION) . -f scripts/images/datamate-python/Dockerfile
.PHONY: deer-flow-docker-build
deer-flow-docker-build:
@@ -132,10 +132,6 @@ deer-flow-docker-build:
mineru-docker-build:
docker build -t datamate-mineru:$(VERSION) . -f scripts/images/mineru/Dockerfile
.PHONY: backend-python-docker-build
backend-python-docker-build:
docker build -t datamate-backend-python:$(VERSION) . -f scripts/images/datamate-python/Dockerfile
.PHONY: backend-docker-install
backend-docker-install:
cd deployment/docker/datamate && docker compose up -d backend