Data annotation module

Description

This project hosts the code for the data annotation module of real data management workflow in Synthema. Data annotation component is responsible for:

• Creating a disease-specific dataset schema
• Retrieving an existing dataset schema
• Updating an existing dataset schema
• Deleting an existing dataset schema

Structure

The data-annotation module is structured in the following folders:

• The folder src provides utilities, datasets, models, fastapi, requirements and Dockerfile
• The folder k8s includes kubernetes manifests
• The folder jenkins contains the Jenkinsfile to run unit and functional tests.

Data-annotation deployment

License

This project is licensed under the MIT License.

This project extends and uses the following Open Softwares, which are compliant with MIT License:

• FastAPI: MIT License
• Pandas: BSD License
• psycopg2-binary: PostgreSQL License
• Uvicorn: BSD License
• python-multipart: MIT License
• python-jose: MIT License
• passlib: BSD License
• pytest: MIT License
• jsonschema: MIT License
• sqlalchemy: MIT License
• sqlmodel: MIT License
• requests: Apache 2.0 License