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The SeaLights Pull Request Integration exposes Quality Risks to the developer as part of the Pull Request process, to be displayed and handled before the code is merged into the main branch.

Creating a Personal Access Token on BitBucket

  • Before making the required configurations on the Bitbucket on-premise installation, a Personal Access Token must be created for authentication with the dedicated SeaLights agent:
    • In BitBucket, click on the logged in user and select 'Manage Account'
    • On the Left hand side pane, select "Personal access tokens"
    • Create a new token to be used to show results in the Bitbucket UI:

The user generating the Personal Access Token must have Read permission for the projects & repositories to be analyzed by Sealights.
It is recommended to define a dedicated user for Sealights from which the PR tasks will be executed.


The application will not modify anything in your repositories and projects as it only requires Read access.

SeaLights Task Runner App Configuration

  • To report the Pull Request data to SeaLights, the Task Runner must be installed locally on the BitBucket server:

    1. Download the Task Runner from the following link: https://sl-repo.s3.amazonaws.com/sl_task_runner/sl_task_runner-2.1.1368.zip
    2. Prepare a configuration file to be used by the Task Runner in JSON format:
      • The Bitbucket server properties in this configuration file should be defined within  json property  "bitbucketServer" as follows:

      • The token to be used should be an Agent token 

sl-taskrunner-cfg.json example
{
    "tokenFile": "config/sltoken.txt",
	"bitbucketServer":
        {
            "url": "http://bitbucket.internal.net:7990",
            "token":"<personal access token>"
        }
}


Once the configuration file is created, run the SeaLights task runner .jar file, specifying the configuration file created in the previous step:

Running the SeaLights Task Runner using a configuration file
java -Dsl.config.file=config/sl-taskrunner-cfg.json -jar sl_task_runner.jar

Alternatively, the same parameters can be specified directly as Java params:

Running the SeaLights Task Runner using Java parameters
java -Dsl.tokenFile=/path/to/sltoken.txt -Dsl.bitbucketServer.url=http://bitbucket.internal.net:7990 -Dsl.bitbucketServer.token=<personal access token> -jar sl_task_runner.jar


Common configuration properties for the task runner are as follows:

PropertyDefaultRequiredDescription

sl.enableUpgrade

true

optional

Flag allows automatic upgrade

sl.upgradeIntervalMins

1440

optional

Interval in minutes for auto-upgrade version checking

sl.taskPollingIntervalSecs

60

optional

Interval in second for getting SL tasks for execution

sl.taskTimeoutSecs

60

optional

Time in second allocated for task execution; if expires, task will be aborted and reported with timeout status

sl.logs.sendIntervalMin

5

optional

Interval in minutes for sending accumulated logs to the cloud. If not defined, is forced to the default value on start

sl.token

-

mandatory *

Access token generated from the SeaLights server

sl.tokenFile

-

mandatory *

Path to file containing the access token generated from the SeaLights server

sl.proxy-optionalThe proxy configuration for connection to Sealights.

Configuring the BitBucket Pull Request to compare data to SeaLights

The pull request job needs to run the SeaLights build scan and test listener for the test stages you want the analysis on.
These results will be compared to the latest build you reported to SeaLights for the branch you are merging the Pull Request to.

The difference between the pull request job and standard jobs is in how the session ID is created using Pull Request specific parameters.

Generating a session ID

You create the Pull Request build session ID by using the SeaLights Java Build Scanner (See: Downloading the java agent files) with the prConfig option:

prConfig usage
java -jar sl-build-scanner.jar -prConfig -tokenfile "./myapp/sltoken.txt" -appname "MyApp" -targetBranch "master" -latestCommit $GIT_PR_COMMIT -pullRequestNumber 123 -repoUrl https://bitbucket.mycomp.int/myapp -pi "*com.company.*"

The packages included and excluded should be exactly the same as what was defined to SeaLights for the merged branch so that the compared results will be the same

See prConfig - Command Reference ' for full parameter details in Java agent, node agent or via the Sealights Jenkins plugin.


Pull Request parameters as seen on a Bitbucket page

You can easily identify the relevant values to pass to the Build Scanner based on the illustration below.

Pull Request parameters mapping with Bitbucket Environment variables

Bitbucket provides a set of default variables that are available for builds, and can be used in scripts. These variables are detailed in the official Bitbucket documentation and can be used like below

Sealights PR Parameter
BitBucket Env. Variable
Comment
pullRequestNumberBITBUCKET_PR_ID
latestCommitBITBUCKET_COMMIT
repoUrl BITBUCKET_REPO_SLUGIn some configurations, you may need to prepend the base URL of your repository, like "https://bitbucket.mycompany.int/$BITBUCKET_REPO_SLUG"
targetBranchBITBUCKET_PR_DESTINATION_BRANCHThis is the branch name itself and might need to have a prefix added (Like: "origin/") to match the branch that was provided to SeaLights when scanning the merged branch
Sample prConfig command
java -jar sl-build-scanner.jar -prConfig -appname "MyApp" -latestCommit $BITBUCKET_COMMIT -pullRequestNumber $BITBUCKET_PR_ID -repoUrl $BITBUCKET_REPO_SLUG -targetBranch origin/$BITBUCKET_PR_DESTINATION_BRANCH -tokenfile sl_acc_token.txt -pi "*co.sealights.sample.*"

Sample of Results on the BitBucket Pull Request page

At the completion of the analysis, Sealights insights will appear at the right hand side of the "Overview" section of your Pull Request.
Clicking on this will open the Quality reports section. Results will appear similar to the one below:


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