GeoPortal Esquilino Sample Python Client

The GeoPortal Esquilino sample python client, is a basic python main that shows how to interact with the "Geoportal Service" and register/publish a sample "Esquilino Project"

The gcube_context is /d4science.research-infrastructures.eu/gCubeApps/Esquiline

The UCD_ID is esquilino

Test Files are located in the subdir test_files

Test Esquilino dataset that will be registered is test_dataset_esquilino

Built With

• python 3+

Uses

• python 3+ https://docs.python.org/3
• D4Science IAM Identity and Access Management (IAM)
• geportal-service API geportal-service API

Requires

In the main.py:

• service_Client_ID = ''
• service_Client_Secret = ''

Documentation

Service Account Using Service Accounts

gCube CMS Suite DOC gCube CMS Suite DOC

See also

Python example for interaction with D4Science IAM IAM interaction

Change log

See the Releases

Authors

• Francesco Mangiacrapa (ORCID) Computer Scientist at ISTI-CNR Infrascience Group

License

This project is licensed under the EUPL V.1.1 License - see the LICENSE.md file for details.

About the gCube Framework

This software is part of the gCubeFramework: an open-source software toolkit used for building and operating Hybrid Data Infrastructures enabling the dynamic deployment of Virtual Research Environments by favouring the realisation of reuse oriented policies.

The projects leading to this software have received funding from a series of European Union programmes including:

• the Sixth Framework Programme for Research and Technological Development
  • DILIGENT (grant no. 004260).
• the Seventh Framework Programme for research, technological development and demonstration
  • D4Science (grant no. 212488);
  • D4Science-II (grant no.239019);
  • ENVRI (grant no. 283465);
  • EUBrazilOpenBio (grant no. 288754);
  • iMarine(grant no. 283644).
• the H2020 research and innovation programme
  • BlueBRIDGE (grant no. 675680);
  • EGIEngage (grant no. 654142);
  • ENVRIplus (grant no. 654182);
  • PARTHENOS (grant no. 654119);
  • SoBigData (grant no. 654024);
  • DESIRA (grant no. 818194);
  • ARIADNEplus (grant no. 823914);
  • RISIS2 (grant no. 824091);
  • PerformFish (grant no. 727610);
  • AGINFRAplus (grant no. 731001).