iCR for Python User Guides
iCR for Python 3.0.2
iCR for Python 3.0.2
  • Table of contents
    • Introduction
    • Overview
    • Getting Started
      • Installing iCR for Python
      • Managing your service
        • Opening Ports
      • Authorizing Access to Your Source Code
        • Authenticating GitHub Access with a Cloud-Based VCS Repository Service
          • Authenticating GitHub Access with a Private VCS Repository
        • Authenticating GitLab Access with a Cloud-Based VCS Repository
          • Authenticating GitLab Access with a Private VCS Repository
        • Authenticating Bitbucket Access with a Cloud-Based VCS Repository
          • Authenticating Bitbucket Access with a Private VCS Repository
          • Setting Bitbucket Server Credentials in the Navigator
    • Using the Navigator
      • Connecting to the Navigator
      • Setting your private passphrase
      • The Navigator top banner
      • The Analysis Engine status
      • Selecting Your Source Code
        • Using a cloud-based VCS
        • Selecting your branch
        • Using a private VCS
        • Using a local project
        • Setting the scope of your analysis
      • Integrating with your bug tracking system
        • Integrating with Jira - Define Your Project
        • Integrating with Jira - Authorizing Access for iCR
        • Integrating with Jira - Connecting with iCR
    • Using the Analysis Engine
      • Initiating an analysis
      • Monitoring the analysis
      • Interrupting the analysis
    • Reviewing your results
      • Reviewer summary and filters
      • Filter by Directory pane
      • Filter by Category pane
      • Reviewing a fix
      • Accepting a fix
        • Accepting a fix when integrated with your bug system
      • Rejecting a fix
        • Rejecting a fix when integrated with your bug system
      • Undoing a fix
        • Undoing a fix when integrated with your bug system
      • Rejected fix history
      • Providing feedback
      • Applying the fixes
      • Cases needing manual attention
      • Capturing results for printing or sharing
      • Ending a reviewer session
    • When you are complete
    • Appendix – List of supported fixers
    • Appendix – Example Summary Report
    • Appendix - Sample Bug Listing
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  1. Table of contents
  2. Getting Started
  3. Authorizing Access to Your Source Code

Authenticating GitLab Access with a Cloud-Based VCS Repository

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Last updated 1 year ago

To gain access to your GitLab cloud-based projects, you need to authorize iCR to access them using OAuth. Here is how that is done.

To set this up, login into GitLab and go to your user menu at the top right of the GitLab menu bar.

The Settings menu offers a number of configurable options.

The “Applications” page is where you tell GitLab to allow your Server to allow logins redirected from the Server.

For the application “Name” use whatever you like. “iCR-for-Python" has been used in this example. You also must enter the redirect URL to the server. GitLab’s OAuth uses that to verify the authorization handshake. Enter the URL as your server’s IP address with port 3001 and the callback text. Using the example IP address from enter: https://3.237.77.219:3001/login/gitlab/return

You need to select both the Confidential and the api options. As was noted in , once you have completed this step, you will need to copy the Application ID and the Secret. From here, the process is the same as outlined for .

Authenticating GitHub Access with a Cloud-Based VCS Repository Service
Authenticating GitHub Access with a Cloud-Based VCS Repository Service
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