sca-codeinsight-reports-project-comparison

The sca-codeinsight-reports-project-comparison repository is a example report for Revenera's Code Insight product that allows a user to compare the inventory between two different projects and any child projects.

This report will show differecnes between the two projects strutcts to highlight:

• All items
• Unchagned Items
• Differences between projects
  • All differences
  • Version differences
  • License differences
  • Publish state differences
  • Items that could not be reconciled
• Items Remvoed
• Items Added

This repository utilizes the following via CDN for the creation of the report artifacts.

• Bootstrap
• DataTables
• jsTree

Prerequisites

Code Insight Release Requirements

Repository Tag	Minimum Code Insight Release
1.0.x	2020R3
1.1.x	2021R2
2.0.x	2021R2
3.0.x	2023R4

Repository Cloning

This repository should be cloned directly into the $CODEINSIGHT_INSTALLDIR/custom_report_scripts directory. If no prior custom reports has been installed, this directory may need to be created prior to cloning.

Submodule Repositories

This repository contains two submodule repositories for code that is used across multiple projects. There are two options for cloning this repository and ensuring that the required submodules are also installed.

Clone the report repository use the recursive option to automatically pull in the required submodules

git clone --recursive

Alternatively clone the report repository and then clone the submodules separately by entering the cloned directory and then pulling down the necessary submodules code via

git submodule init

git submodule update

Python Requirements

The required python modules can be installed with the use of the requirements.txt file which can be loaded via.

pip install -r requirements.txt    

Configuration and Report Registration

For registration purposes the file server_properties.json should be created and located in the $CODEINSIGHT_INSTALLDIR/custom_report_scripts/ directory. This file contains a json with information required to register the report within Code Insight as shown here:

{
    "core.server.url": "http://localhost:8888" ,
    "core.server.token" : "Admin authorization token from Code Insight"
}

The value for core.server.url is also used within create_report.py for any project or inventory based links back to the Code Insight server within a generated report.

If the common server_properties.json files is not used then the information the the following files will need to be updated:

registration.py - Update the baseURL and adminAuthToken values. These settings allow the report itself to be registered on the Code Insight server.

create_report.py - Update the baseURL value. This URL is used for links within the reports.

Report option default values can also be specified in registration_config.json.

Registering the Report

Prior to being able to call the script directly from within Code Insight it must be registered. The registration.py file can be used to directly register the report once the contents of this repository have been copied into the custom_report_script folder at the base Code Insight installation directory.

To register this report:

python registration.py -reg

To unregister this report:

python registration.py -unreg

To update this report configuration:

python registration.py -update

Usage

This report is executed directly from within Revenera's Code Insight product. From the project reports tab of each Code Insight project it is possible to generate the Project Comparison Report via the Custom Report Framework.

The following report options can be set once the report generation has been initiated:

• Including child projects (True/False) - Determine if child project data will be included or not.
• Included unpublsihed inventory items
• Project name for comparison

The Code Insight Custom Report Framework will provide the following to the custom report when initiated:

• Project ID
• Report ID
• Authorization Token
• Report options

For this example report these four items are passed on to a batch or sh file which will in turn execute a python script. This script will then:

• Collect data for the report via REST API using the Project ID and Authorization Token
• Take this collected data and generated an html document with details about the project inventory
  • The "viewable" file
• Create a zip file of this html document
  • The "downloadable" file
• Create a zip file with the viewable file and the downloadable file
• Upload this combined zip file to Code Insight via REST API
• Delete the report artifacts that were created as the script ran

License

MIT