Using a local project

You may choose to not access source code from a cloud-based repository. iCR for Python also supports accessing projects that are accessible directly on your server. Any of your developers may be given login access to your server. From a shell console, you can upload projects to it or, you may mount a network attached file system. In this case, it would need to be mounted as a subdirectory of your configured anchor point in the file system.

Selecting this option brings up the Select Project window on the left side of the screen. By default, it is anchored at /home.

However, you can reposition this anchor point using the icrforpython -d as noted earlier in Managing your service. From the Select Project frame, you can scroll down through directories and subdirectories looking for the desired project for analysis.

In this example, we will select a project called django which is located within the directory Python-projects (which is displayed as the Base Directory Path).

The project has now been added to the list of locally accessible projects available for analysis. Note that the Analyze, Review and Remove buttons are now available. The Review button is grayed out until an analysis is complete and results are available for review. The Integration button supports working with the Jira bug tracking system. And the Version button allows you to specify the required Python library version needed for this local project.

The Remove button allows you to drop this project from the list of available projects.

Note: If you choose to remove a project, ALL OF ITS RESULTS will also be deleted. This includes ALL of the history of Rejected bugs.

You can add as many projects as you wish.