This is a guest post by Cedd Burge, Software Developer Lead at RES. Last updated and verified working December 2020.
SonarQube / SonarSource analyzes code, highlights quality issues and calculates metrics such as technical debt. More information is available on SonarSource.com.
This post is written from the point of view of someone (me) who is already proficient in C#, and had used SonarQube, but was new to AppVeyor and integrating SonarQube with GitHub.
It contains from scratch steps to run the SonarQube analysis on a sample project and to publish the results to SonarCloud.io. You can look at the repo I created to test this post if you get stuck.
Create a new GitHub repository
If you are new to GitHub, see this getting started guide, otherwise simply create a new repo and git clone it somewhere convenient.
Create a new project
In my version of Visual Studio (Community 2017), you can do this by clicking on “File - New - Project” on the main menu, then one of the Class Library options (.NET Framework for example) from the “Visual C#” section. Give it a interesting name, which I will assume to be YourProjectName for the rest of this post.
Add some code that has some quality issues (e.g. a variable that is declared but never used). You can use the the full list of SonarQube C# issues for inspiration. Alternatively you can copy and paste some of mine.
Install the Sonar Visual Studio Plugin. This highlights quality issues in your code as you type and gives you a chance to fix them before committing.
Integrate GitHub with AppVeyor
Log in to AppVeyor.com, probably using your GitHub account
- Click “Projects”
- Click “New Project”
- Choose your GitHub repository and click “Add”
Sign up with SonarQube and generate an Authentication Token
- Create an account on SonarCloud.io
- Make a note of your Organisation Key (ceddlyburge-github for me (YourSonarQubeOrganisationKey from now on)
- Navigate to the Tokens page (My Account and then Security)
- Enter a token name and click “Generate”
- Make a note of the generated token (YourSonarQubeToken from now on)
Run SonarQube Analysis Locally
When working with AppVeyor, it always makes sense to test on your own computer first. The feedback is immediate and you iterate very quickly. It takes a lot longer to modify the appveyor.yml
file, push it and wait for a build to go through. Also, if it works locally but doesn’t work on AppVeyor, you know the problem is a configuration difference between your computer and the AppVeyor environment (e.g. a different version of msbuild).
Instead of committing SonarQube executables to the repo, we will download them during the build using Chocolatey.
Install chocolatey
- Install Chocolatey from an administrator command prompt / powershell.
- Close the command prompt
Install SonarQube MSBuild Runner
- Open a new administrator command prompt / powershell.
choco install "sonarscanner-msbuild-net46" -y
Analyze and upload to SonarQube
SonarScanner.MSBuild.exe begin /k:"**YourUniqueProjectName**" /d:"sonar.host.url=https://sonarqube.com" /d:"sonar.login=**YourSonarQubeToken**" /o:"**YourSonarQubeOrganisationKey**"
"**YourPathToMSBuild**\MSBuild.exe" "**YourProjectName**.sln"
SonarScanner.MSBuild.exe end /d:"sonar.login=**YourSonarQubeToken**"
YourUniqueProjectName can be anything you like, as long as it is unique.
When finished, you will be able to see the results at sonarcloud.io/. If it isn’t working, make sure you are using MSBuild 14 and Java 1.8 or later. The SonarQube Getting Started page is excellent if you need to troubleshoot.
Run SonarQube Analysis on AppVeyor
Now that this is working locally, we can run it on AppVeyor.
Add and commit an appveyor.yml file to the root of the repository as follows
before_build:
- nuget restore
build_script:
- choco install "sonarscanner-msbuild-net46" -y
- SonarScanner.MSBuild.exe begin /k:"**YourUniqueProjectName**" /d:"sonar.host.url=https://sonarcloud.io" /o:"**YourSonarQubeOrganisationKey**" /d:"sonar.login=**YourSonarQubeToken**"
- msbuild /verbosity:quiet "**YourProjectName**.sln"
- SonarScanner.MSBuild.exe end /d:"sonar.login=**YourSonarQubeToken**"
Again, you can check the results at sonarcloud.io.
It is possible that the default version of Java on the build machine is different to the one required by SonarQube, in which case SonarQube will show an error. In this case add the correct version of Java to the path in the build_script
, as below.
...
build_script:
- set JAVA_HOME=C:\Program Files\Java\jdk11
- set PATH=%JAVA_HOME%\bin;%PATH%
...
Add a SonarQube badge to the repo
There are are variety of badges available. If you navigate to your project on SonarCloud there is a “Get Project Badges” button. It’s a bit hard to find but is on the bottom right of the page at the time of writing.
To add a standard badge, add the following to readme.md.
[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=**YourUniqueProjectName**&metric=alert_status)](https://sonarcloud.io/dashboard?id=**YourUniqueProjectName**)
Integrate SonarQube with Pull Requests
SonarQube can analyze Pull Requests for quality issues, but sadly this feature is no longer in the free version. You can see more on the Sonar Website.
Wrapping Up
SonarQube is maturing fast and is becoming industry standard, and happily it is easy to integrate Open Source projects with the publicly available SonarQube server and AppVeyor. The Sonar Visual Studio Plugin is fantastic at spotting problems before you commit them, and the (paid for) pull request integration allows you to control the quality of contributions.
Best regards,
Cedd Burge
Follow Cedd on Twitter: @cuddlyburger
Follow AppVeyor on Twitter: @appveyor