iCR for Python User Guides
iCR for Python 3.5
iCR for Python 3.5
  • Table of contents
    • Introduction
    • Overview
    • 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
    • Using the Navigator
      • Connecting to the Navigator
      • Setting your User Password
      • 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
        • Limiting the files to be analyzed
      • 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. Authorizing Access to Your Source Code
  3. Authenticating GitHub Access with a Cloud-Based VCS Repository Service

Authenticating GitHub Access with a Private VCS Repository

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Last updated 1 year ago

If you are using a private VCS on a private deployment, you can use a very similar process as described for the cloud-based VCS systems to access your local repositories.

Your first step is to login into the GitHub Enterprise server. Once logged in, go to your user icon and click on it to get this user pull-down menu:

You select “OAuth Apps” from the Developer Settings page. Then click on New OAuth App to configure iCR for Python. Note that there is one critical difference from the cloud-based version as shown in the view below. The callback URL is different and MUST replace the text: github with enterprise-github.

With that change, getting the Client ID and creating the Secret key is the same as described in the ).

With that change, getting the Client ID and creating the Secret key is the same as with the .

cloud-based VCS description
cloud-based VCS