Version Control

This section helps the user to get a private token to access multiple versions of the Data Science workflows, scripts, and models.

• Click the Version Control option from the Configurations menu.​

• The Version Control page opens.

• Provide the required Version Control Information:

  • Select a Module using the drop-down option (The supported modules are datascience, Pipeline, Dashboard, ApiService, DsLabs)

  • Host address of the GitLab link.

  • Token Type: The user can select one option out of the given choices. Based on the selected Token Type option the configuration fields may display.

    • User Credentials: By selecting this option the Admin needs to pass an email address of the GIT Lab and valid password. The user gets to enable a checkbox to generate a private token (as displayed in the below-given image).

    • Private Token: By selecting this option the Admin needs to pass the Private Token (as displayed in the below-given image).

• The fields provides under the More Information heading are pre-selected. The Entity Type, Work Space Name, and Entity Type get displayed based on the selected module. The supported entity extension is '.baf'.

• Click the Test option after providing the required Version Control Information.

• A notification message appears to confirm about the successful authentication.

• There will appear two more fields:

  • Select a GIT Lab Project from the drop-down menu.

  • Based on the selected GIT Lab project, it will list all the branches. Select a branch from the drop-down menu.

• After providing the required information for Version Control the Save option gets enabled. Click the Save option.

• A success message appears to inform the version control update.​

Please Note: After the Version Control gets saved, and the confirmation message appears all the fields become blank once again.