Introduction
As a part of the constant endeavor to enhance the ease of working with Kyvos, the Continuous Integration and Continuous Deployment (CI/CD) Utility is created to automate the end-to-end migration versioning of Kyvos entities (like Semantic Models,DatasetRelationships, and RegisterDataset) from Kyvos Source environment to Kyvos Target environment using Git , Relationships, Datasets, etc., using Git as a versioning tool.
The CI/CD Utility comprises of the following two utilities:
The Export Utility is created for the semantic model designers to export the entities specified in the configuration file from Kyvos and push them to the feature branch of the user repository. The Utility is based on a Java to execute the REST API to export the required entities from Kyvos in the form of XML files, stage into a local folder, and finally, push these changes to a user-specified Git repository.
The Deploy Utility is created for the Admin users to fetch entities planned for deployment from the Git repository and deploy the entity XML files to the target Kyvos environment. Jenkins is used for automating the deployment from GIT Repository to Kyvos. Jenkins job triggers the Deploy executable file, which triggers REST API using java to Deploy the entity XML files to Kyvos target environment.
Prerequisites
To use the Export utility, you must have the following.
Git Bash: It is a package that installs Bash, some common bash utilities, and Git on an operating system. This is needed to execute the Git commands on your system.
GitLab: Account and Repository with main and feature branch.
Setup details
The utility setup is provided as a single .zip file (Linux) that you can unzip at any location on any computer.
On extracting the setup, you will see the following folders and files:
Linux computer:
1.conf
2.input
3.lib
4.ExportKyvosEntities.sh
5.DeployKyvosEntities.sh
6.output
Setting up parameters for CICD Utility
In the Linux machine and navigate to where the setup files are extracted.
Navigate to the conf folder and open the serverDetail.properties file for editing. Here, provide the values for the following parameters, and save the file.
KYVOS_URL= http://<Server IP>:8081/kyvos/rest/
USERNAME= <Name of user>
PASSWORD= <Kyvos URL password>
Navigate to the input folder and open the input.json file for editing. Here, provide the values for the following parameters, and save the file.
Snippet of input.json file
It can be used to migrate entities from one Kyvos deployment (Source) to another Kyvos deployment (Target).
It uses Gitlab to store versions of Kyvos entities in XML format.
It also provides integration with Bitbucket repositories.
It is a Java-based utility that uses Kyvos REST APIs to export the entities from source Kyvos deployment and import them to target Kyvos deployment. It is designed to be used in Linux systems.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note It is recommended to use Kyvos user credentials with administrative privileges to import and export all entities. |
The CI/CD Utility comprises the following two utilities:
Export Utility: It fetches entities from Kyvos deployment in XML format, stores them in a local folder, and then pushes them to the configured Git repository. It has a configuration file to define all entities to be fetched along with source Kyvos deployment and git repository details.
Import Utility: It uses Jenkins to automate the import of entities from the Git repository to target Kyvos deployment. The Jenkins pipeline is configured in the Gitlab server to pull the entities from Gitlab to the local file system. Jenkins then launches the import utility shell script, which finally imports the entities from the file system to target Kyvos deployment.
Utility bundle details
The utility bundle contains a single zip file having the following folders and files within it:
Conf folder: It contains serverDetailExportUtility.properties, serverDetailImportUtility.properties, and cicdLogs.properties
Input folder: It contains an input.json file to configure the exported entities and the Gitlab server details.
Lib folder: This folder contains the required libraries for the utility.
Output folder: This initially blank folder will place exported entities' XML files when not pushing them into the Gitlab server.
ExportKyvosEntities.sh: This is a script file to launch the Export utility.
ImportKyvosEntities.sh: This is a script file to launch the Import utility.
Export Utility
Prerequisites
Git Bash: It is a package that installs Bash, some common Bash utilities, and Git on an operating system. This is needed to execute the Git commands on your system.
GitLab: Git server with main and feature branches.
Setting up Export Utility
Extract the setup zip file.
Configure source Kyvos deployment details in the serverDetailExportUtility.properties file located in the Conf folder. Provide the following details in this file. If you don't provide the details in the file, you can alternatively provide them as an argument to the export utility script.
KYVOS_URL = <YourKyvosURL>/rest/
USERNAME = <KyvosUserName>
PASSWORD = <KyvosUserPassword>
Configure input.json within the input folder to define the entities to be exported. The following table provides details of the parameters
...
in the input.json file.
...
Parameter
...
Description
...
SEMANTIC_MODEL_DETAILS
...
Provide details of the semantic model which needs to be exported in the format "FolderName":["CubeName"],
Scenarios and examples are mentioned after this table in cases
where multiple entities need to be exported.
...
DATASET_RELATIONSHIP_DETAILS
...
Provide execute permission on ExportKyvosEntities.sh file, using chmod +x ExportKyvosEntities.sh, if not already provided.
Parameter | Description | |
EXPORT_SEMANTIC_MODELS | Defines whether to export semantic model entities or not.
| |
SEMANTIC_MODEL_DETAILS | Provides details of the semantic model that needs to be exported in the following format: "FolderName":[" | DatasetRelationshipNameSemanticModelName"], |
DATASET_DETAILS
| Provide the details of the Dataset which needs to be exported in the format "FolderName":["DatasetName"], Scenarios and examples are mentioned after this table in cases where multiple entities need to be exported. | |
WB_DETAILS
| Provide the details of the WB which needs to be exported in the format “FolderName”:[“WorkBookName”] | |
EXPORT_SEMANTIC_MODELS
| Allows you to export semantic model objects. Set the value as Y to enable export, else, set it as N. | |
EXPORT_DATASET_RELATIONSHIPS
| Allows you to export dataset relationship objects. Set the value as Y to enable export, else, set it as N. | |
EXPORT_DATASETS
| Allows you to export dataset objects. Set the value as Y to enable export, else, set it as N. | |
EXPORT_WB | Allows you to export workbook objects. Set the value as Y to enable export, else, set it as N. | |
GIT_LOCAL_REPO_PATH | The path of the GITRepo folder to be used as staging location. The folder is available in the Export utility folder. Provide the path of the GIT Repo folder. For example, “C:/CICDUtility/Export/GITRepo” Note: Please use the forward slash (/) in the repo path as mentioned in the example and config file snippet above. | |
GIT_USERNAME | GitLab username to connect with GIT Repo. | |
GIT_FEATURE_BRANCH_NAME | GitLab feature branch name where the XML entities will get exported. For example, “working” | |
GIT_PUSH | Allows you to push the exported data to GitLab. Set the value as Y to push the exported data to GitLab. To export to only to the local output folder (and not to GitLab), set the value as N. | |
GIT_FEATURE_BRANCH_CLEAN | This parameter allows you to clean the GIT Feature branch before a fresh export. The default value is N. To enable cleaning, set the value as Y. | |
GIT_REPONAME | GitLab Repo Name where the entities will get exported. | |
GIT_TOKEN | The Personal Access Token for Authentication with user’s GIT account. In case you do not have the Personal Access token, you can create it using the steps explained in the Append. | |
GIT_URL | Git url to be mentioned |
...
Below are several scenarios to export multiple semantic models, datasetrelationships, and dataset entities in single export using the input.json if the respective values are set as Y.
...
Export single entity present from a single folder
"SEMANTIC_MODEL_DETAILS": { "Folder1" : [ “Model1”] }
"DATASET_RELATIONSHIP_DETAILS": { "Folder1" : [ “DatasetRelationship1”] }
"DATASET_DETAILS": { "Folder1" : [ “Dataset1”] }
...
Export multiple entities from a single folder
"SEMANTIC_MODEL_DETAILS": { "Folder1" : [ “Model1”, “Model2”] }
"DATASET_RELATIONSHIP_DETAILS": { "Folder1" : [ “DatasetRelationship1”, “DatasetRelationship2”] }
"DATASET_DETAILS": { "Folder1" : [ “Dataset1”, “Dataset2”] }
...
“FolderName” should be the name of the Kyvos entity folder name to be exported. "SemanticModelName": Comma separated entity names existing within the folder Example {"Folder1": [ “Model1”,” Model2”], “Folder2”: [“Model3”]} | |
EXPORT_DATASET_RELATIONSHIPS
| Defines whether to export Dataset Relationship entities or not.
|
DATASET_RELATIONSHIP_DETAILS
| Provides details of the Dataset Relationship that must be exported in the following format. "FolderName":["DatasetRelationshipName"], “FolderName” should be the name of the Kyvos entity folder name to be exported. "DatasetRelationshipName": Comma separated entity names existing within the folder For example, {"Folder1": [ “DRelationship1”,” DRelationship2”], “Folder2”: [“DRelationship3”]} |
EXPORT_DATASETS | Defines whether to export Dataset entities or not.
|
DATASET_DETAILS | Provides details of the Dataset that must be exported in the following format. "FolderName": ["DatasetName"], “FolderName” should be the name of the Kyvos entity folder name to be exported. "DatasetName": Comma separated entity names existing within the folder Example {"Folder1": [ “Dataset 1”,” Dataset 2”], “Folder2”: [“Dataset 3”]} |
EXPORT_WB | Defines whether to export Workbooks or not.
|
WB_DETAILS | Provides details of the Workbooks that must be exported in the following format. "FolderName": ["Workbook"], “FolderName” should be the name of the Kyvos entity folder name to be exported. "Workbook": Comma separated entity names existing within the folder For example, {"Folder1": [ “workbook1”,” workbook2”], “Folder2”: [“workbook3”]} |
GIT_PUSH | Defines whether to push the exported entities into GitLab or not.
|
GIT_URL | Server URL |
GIT_LOCAL_REPO_PATH | Provides a folder path to be used as a staging location. For example, “C:/CICDUtility/Export/GITRepo” NOTE: Use the forward-slash (/) in the repo path. |
GIT_FEATURE_BRANCH_NAME | Specifies the GitLab feature branch name where entities will get exported. |
GIT_FEATURE_BRANCH_CLEAN | Defines whether to clean the GIT Feature branch before a fresh export. The default value is N.
|
GIT_REPONAME | Specifies the GitLab repository name where the entities will get exported. |
GIT_USERNAME | Specifies the GitLab user name to connect with GIT Repo. |
GIT_TOKEN | The Personal Access Token for authentication with the user’s GIT account. If you do not have the Personal Access token, you can create it using the steps explained in the Appendix. |
GIT_URL | Git url to be mentioned |
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note To export an entity from the root folder, users must specify the folder name as ‘ROOT’ in the input.json file. |
...
Example configurations for different scenarios
Export All entities from one or more folders
"SEMANTIC_MODEL_DETAILS": {"Folder1" : [
...
], “Folder2”: [
...
] }
"DATASET_RELATIONSHIP_DETAILS": { "Folder1" : [
...
], “Folder2” : [
...
] }
...
“DATASET_DETAILS": { "Folder1" : [
...
], “Folder2” : [
...
] }
Export All entities from one or more folderssingle/multiple entities from ROOT (when entities are not a part of any folder)
"SEMANTIC_MODEL_DETAILS": { "
...
ROOT" : [
...
“Model4”,
...
“Model5”] }
"DATASET_RELATIONSHIP_DETAILS
...
": {"
...
ROOT": [
...
“DatasetRelationship4”,
...
“DatasetRelationship5”]}
...
"DATASET_DETAILS": { "
...
ROOT" : [
...
“Dataset4”,
...
“Dataset5”] }
Export single/multiple entities from ROOT (when entities are not a part of any folder)
"SEMANTICALL entities, which includes all entities at ROOT and all folders with all entities
“SEMANTIC_MODEL_DETAILS": {
...
}
...
“ DATASET_RELATIONSHIP_DETAILS ": {
...
}
...
“DATASET_DETAILS": {
...
}
...
Export ALL entities, which includes all entities at ROOT and all folders with all entities
“SEMANTIC_MODEL_DETAILS": { }
“ DATASET_RELATIONSHIP_DETAILS ": { }
“DATASET_DETAILS": { }
Executing ExportKyvosEntities on Linux
To execute the utility on a Linux computer, perform the following steps.
In the Linux machine, go to the folder where the utility was unzipped.
Provide the execute permission on the ExportKyvosEntities.sh file, if not already provided (chmod +x ExportKyvosEntities.sh)
Run the ./ExportKyvosEntities.sh command.
You will see logging, semantic model validation, and success messages on the successful execution of the utility. In case of any exception, you will see failed messages, and all newly created folders will be deleted. Please get in touch with the Kyvos support team in case of an exception.
ExportKyvosEntities.shfile
The Export utility starts executing. Once the export is complete, you can check the execution logs in the output folder.
The following figure shows a snippet of the Export Utility execution.If the GITPUSH parameter is set as Y in the input file, then all the entity XML files will get exported to the GitLab Feature branch in the following order.
A GIT PULL is performed from the feature branch specified in the input file. So that the remote and local repository (GITRepo) are in sync.
The entities are exported to the GITRepo folder from Kyvos, which is a local repository clone of the GitLab repository.
Entities are then pushed to the GitLab feature branch; we have used the working feature branch in this case
If the GITPUSH parameter is set as N in the input file, then the entities are directly exported to the Output folder. No GIT PULL and GIT PUSH will be performed in this case.
Deploy Entities Utility
We can deploy entities using two methods
We can deploy through shell file when entities present in local machine
We can deploy using jenkins pipeline which configure with gitlab
Prerequisites
To use the Deploy utility, you must have the following.
Git Bash: It is a package that installs Bash, some common bash utilities, and Git on operating system. This is needed to execute the Git commands on your system.
gitlab: Account and Repository with the main branch.
Jenkins: For automated execution of the Deploy utility, based on a trigger from gitlab.
Deploying entities using shell file
Parameters for Deploy Utility
We need to pass these parameters while running deploy utility on Linux on command line
KYVOS_URL= http://<Server IP>:8081/kyvos/rest/
USERNAME= <Kyvos Username>
PASSWORD= <Kyvos User Password>
KyvosEntitiesPath=<Path of KyvosEntities store in local machine>
Executing deploy on Linux
To execute the utility on a Linux computer, perform the following steps.
In the Linux machine Go to the folder where the utility was unzipped.
Provide the execute permission on the DeployKyvosEntities.sh file, if not already provided (chmod +x DeployKyvosEntities.sh).
Run the ./DeployKyvosEntities.sh $KyvosUrl $Username $Password $KyvosEntitiesPath command.
You will see logging, semantic model validation, and success messages on the successful execution of the utility. In case of any exception, you will see failed messages, and all newly created folders will be deleted. Please get in touch with the Kyvos support team in case of an exception.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note KyvosEntitiesPath is the path where entities store in local machine and it by default present in output/timestamp_folder/Repo_Name/KyvosEntities |
Executing Deploy Utility from jenkins
Creating new Project in Jenkins. In case the Jenkins job is not Integrated with GitLab Repository, see the section Gitlab settings to integrate with Jenkins. Once the above steps are completed, you can execute the Deploy Utility.
Trigger the Deploy Utility by executing the following pipeline using the Jenkins jobs.
Code Block |
---|
sh "java -cp <CICD utility jar file path>:<Utility commons jar file path> com.kyvos.deploy.DeployKyvosEntities ${sourceKyvosURL} ${sourceKyvosUser} ${sourceKyvosPassword} ${kyvosEntitiesPath}" |
Create a pipeline mention in below image
...
In the command above,
Add these parameters in Jenkins pipeline:
Click on project as parameter then add parameter given below
kyvosEntitiesPath represents the directory path storing Kyvos entities within the Jenkins workspace dedicated to your project. During the Jenkins workflow, data is fetched from the main GitHub repository and stored in this location. Subsequently, this directory serves as the source for deploying data to the intended environment. It's crucial to run the Jenkins jobs initially to establish the workspace for your new project.
KyvosURL is the URL of the target Kyvos environment.
KyvosUsername is the name of the native user with admin access to the target Kyvos environment.
KyvosPassword is the password of the native user with admin access to the target Kyvos environment.
The job is automatically triggered by webhook whenever you push entities to main branch.
The following figure shows Kyvos Monitor showing updated Files, Relationship, and Cube Entity after the execution of Deploy Utility.
...
Audit logs of entities updated in Kyvos
Appendix
The Personal Access Token is required for authentication of Export Utility with Git. You are required to provide this in the Export Utility config file, as explained in the Export Utility section.
To create a Personal Access Token in GitLab, perform the following steps.
In your GitLab account, navigate to Settings.
On the left pane, click the Developer settings option, select the Personal access tokens from the left pane, and click Generate new token.
Give the token a Descriptive name, select the Scopes which defines the access for the Personal tokens, and then click the Generate token.
A token is generated. Make sure you copy your new personal access token to be used in Export Utility.
You can also Update, Regenerate, Revoke, or Delete the token using the options available on the page.
Creating new Project in Jenkins
To create a new project in Jenkins, perform the following steps.
Login to your Jenkins account.
Install the following plugins:
Git client plugin
GitHub API
GitHub Branch Source Plugin
GitHub plugin
Genric Webhook plugin
If the plugins are not installed while initializing Jenkins. Go to Manage Jenkins >Manage Plugins and install the plugins.
Click New Item from the top left of your dashboard.
Enter the name of the item you want to create, select Pipeline , and click OK. The project is created.
Navigate to the newly created project and select the Configure option, as shown in the following figure.
On the General tab, select the GitHub Project check box and provide the URL of the GitHub/GitLab repository in the Project url field, as shown in the following figure.
On the Source Code Management tab, select the Git option on the left and provide your Git Repository URL and Credentials in the corresponding fields.
Change the Branch Specifier as shown in the below screenshot refs/head/{nameofbranch} this is the branch we intend to build using Jenkins. In this example, we have selected main to Build.
Select the Repository Browser as Auto.
In Additional Behaviours, select the Wipe out repository & force clone option to erase the local repository and clone the fresh repository every time to avoid inconsistency.
On the Build Triggers tab, select GitHub hook trigger for GITScm polling option. This triggers a Jenkins job when the GitHub webhook relays any payload or If you are using genric webhook use can select on genric webhook trigger and genrate a token .
It is used to execute the Deploy Utility as soon entities are merged from the Feature branch to the Master branch in GitHub repository mentioned in Jenkins above.
15. On the Build tab, select the Pipeline command and create the pipeline (explained in the Deploy Utility section) to execute the Utility.
...
Executing Export Utility
Code Block |
---|
Run ./ExportKyvosEntities.sh $KyvosUrl, $Username, $Password |
The parameters are optional and can be set in the serverDetailExportUtility.properties file. If values are given in both places, the script arguments take precedence.
You can access the execution log file in the conf/log folder containing cicd.log.
Steps performed by Export Utility
If the GITPUSH parameter is set as Y, all the entity XML files will be exported to the GitLab Feature branch in the following order.
A GIT PULL is performed from the feature branch specified in the input file to sync the remote and local repository (GITRepo).
The entities are exported to the GITRepo folder from Kyvos, a local repository clone of the GitLab repository.
Entities are then pushed to the GitLab feature branch.
The entities are directly exported to the Output folder if the GITPUSH parameter is set as N in the input file. No GIT PULL and GIT PUSH will be performed in this case.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note Upon the initial setup configuration, users are required to execute the following commands:
|
Import Utility
The import utility works in two steps.
Step 1: On changes in the configured Gitlab branch, the Jenkins pipeline triggers to pull the changed files in the local file system; it then launches the ImportKyvosEntities.sh script.
A Jenkins pipeline is required to automate
the identification of the change in the configured Gitlab branch and
pull the changed entity files into a configured folder within the local file system
to launch the ImportKyvosEntities.sh script
Step 2: On execution, the ImportKyvosEntities.shscript reads all the entities xml files placed in the configured folder and uses Kyvos REST APIs to import them in target Kyvos deployment.
Anchor | ||||||
---|---|---|---|---|---|---|
|
If the Jenkins pipeline is not configured, Step 2 can still launch ImportKyvosEntities.sh independently.
Prerequisites
Git Bash: It is a package that installs Bash, some common bash utilities, and Git on an operating system. This is needed to execute the Git commands on your system.
GitLab: Git server with main and feature branches.
Jenkins: For automated execution of the Import utility script, based on a trigger from GitLab.
Setting up Import Utility
Extract the setup zip.
Configure source target Kyvos deployment details in the serverDetailImportUtility.properties file in the Conf folder. This file needs the details below to be filled in. If the details are not provided in this file, then alternatively, these details can be provided as an argument to the import utility script.
KYVOS_URL = <YourKyvosURL>/rest/
USERNAME = <KyvosUserName>
PASSWORD = <KyvosUserPassword>
KyvosEntitiesPath=<Path of KyvosEntities store in local machine>
NOTE: It’s value should represent the directory path leading up to the KyvosEntities folder.
For example:/data/Automation_Data/mayank/CICD/CICD_Utility_2023.5/EntitiesInMultipleFolders/CICD_Testing/KyvosEntities
Execute the chmod +x ImportKyvosEntities.sh permission on the ImportKyvosEntities.sh file, if not already provided.
Executing Import Utility separately without Jenkins
Execute the following Import Utility separately without Jenkins to perform step 2.
Code Block |
---|
Run ./ImportKyvosEntities.sh $KyvosEntitiesPath $Username $Password $KyvosUrl |
KyvosEntitiesPath is a local machine’s GitLab Repo folder path, storing entities on the pull. This is a mandatory parameter. The other parameters are optional if set in the serverDetailImportUtility.properties file. If values are given at both places, script arguments take the preference.
You can access the execution log file in the conf/log folder, which contains the file named cicd.log.
Jenkins job setup and integration with GitLab Repository
If the Jenkins job is not created and configured, see the Creating new Project in Jenkinssection.
If the Jenkins job is not Integrated with the GitLab Repository, see the GitLab settings to integrate with Jenkinssection.
Once the above steps are completed, you can execute the Import Utility via Jenkins.
Executing Import Utility via Jenkins
Trigger the Import utility by executing the following pipeline using the Jenkins job. Once configured, the job will automatically be triggered by webhook whenever you push entities to the main branch.
Code Block |
---|
sh "jenkinsWorkspace/ImportUtilityFilePath ${KyvosEntitiesPath} ${KyvosUsername} ${KyvosPassword} ${KyvosURL}" |
All the parameters are mandatory here. Add these parameters to Jenkins pipeline:
KyvosEntitiesPath: represents the directory path storing Kyvos entities within the Jenkins workspace dedicated to your project. Data is fetched from the main GitLab repository during the Jenkins workflow and stored in this location. Subsequently, this directory is the source for deploying data to the intended environment.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Important It is important to run Jenkins jobs initially to set up the workspace for your new project. |
KyvosUsername is the name of the native user with admin access to the target Kyvos deployment.
KyvosPassword is the password of the native user with admin access to the target Kyvos deployment.
KyvosURL is the URL of the target Kyvos deployment.
Code Block |
---|
pipeline {
agent any
stages {
stage ('Environment Details') {
steps {
sh '''
env | grep -e PATH -e JAVA_HOME
which java
java -version
mvn –version"” }}
stage('Checkout') {
steps {
checkout (
[$class: 'GitSCM',
branches: [[name: '*/your_branch_name']],
extensions: [], userRemoteConfigs:
[[credentialsId: 'your_credential_id',
url: 'your_git_url']]] ) } }
stage('Build') {
steps {
script{
dir('jenkinsWorkSpacePath/cicdUtilityPath') {
sh "pwd"
sh " jenkinsWorkSpacePath /cicdUtilityPath/ImportKyvosEntities.sh ${kyvosEntitiesPath} ${KyvosUsername} ${kyvosPassword} ${KyvosURL}" } } } } } } |
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note Please replace jenkinsWorkSpacePath with your Jenkins workspace and cicdUtilityPath with the actual path of your CICD utility directory in the Jenkins workspace where the CICD utility is stored in the script above. |
Kyvos Monitor Image displays updated audit logs for imported Datasets, Relationships, and Semantic Model entities post Import utility execution.
Appendix
Anchor | ||||||
---|---|---|---|---|---|---|
|
Creating Personal Access Token in GitLab
The Personal Access Token is required for authentication of Export Utility with Git. You are required to provide this in the Export Utility config file, as explained in the Export Utility section. To create a Personal Access Token in GitLab, perform the following steps.
To create a Personal Access Token in GitLab, perform the following steps.
In your GitLab account, navigate to Settings.
In the left pane, click the Developer settings >Personal access tokens. The Personal access tokens section is displayed. Click Generate new token.
Specify the token a Descriptive name, select the Scopes which defines the access for the Personal tokens, and then click Generate token. A token is generated.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note |
You can also Update, Regenerate, Revoke, or Delete the token using the options available on the Personal access token page.
Creating new Project in Jenkins
Anchor | ||||||
---|---|---|---|---|---|---|
|
To create a new project in Jenkins, perform the following steps.
Login to your Jenkins account.
Install the following plugins:
Git client plugin
GitHub API
GitHub Branch Source Plugin
GitHub plugin
Genric Webhook plugin
If the plugins are not installed while initializing Jenkins, go to Manage Jenkins >Manage Plugins and install the plugins.
Click New Item from the top left of your Dashboard.
Enter the name of the item you want to create, select Pipeline,and click Ok. The project is created.
Navigate to the newly created project and select the Configure option, as shown in the following figure.
On the General tab, select the GitHub Project check box and provide the URL of the GitHub/GitLab repository in the Project url field, as shown in the following figure.
On the Build Triggers tab, select Generic Webhook Trigger. This triggers a Jenkins job when the GitLab webhook relays any payload. If you are using a generic webhook, you can select the generic webhook trigger option.
Provide Jenkins credential ID in the Token section or generate a token ID in the Token Credential section by clicking the Add button and provide credentials.
As soon as entities are merged from the feature branch to the master branch in the GitHub repository mentioned in Jenkins, the Import Utility is executed.
On the Build tab, select the Pipeline Script command and create the pipeline (explained in the above section) to execute the Utility.
Click Save.
Panel | ||||||
---|---|---|---|---|---|---|
| ||||||
Note Default values for parameters (kyvosEntitiesPath, KyvosUsername, kyvosPassword, KyvosURL) should be specified during Jenkins configuration. Otherwise, merging the feature branch with the main branch will trigger the Jenkins job with null parameters |
GitLab settings to integrate with Jenkins
Anchor | ||||||
---|---|---|---|---|---|---|
|
Webhooks trigger the Jenkins job to execute the Import Utility if the defined event happens.
To integrate GitLab with Jenkins, perform the following steps.
In your GitLab Account, select the repository that you want to integrate with Jenkins and go to the Settings tab.
Select the Webhooks option from the left pane.
Click the Add new webhook option.
In the URL field, enter the Jenkins URL. You must add /generic-webhook-trigger/invoke to this and provide secret token credential ID or that you have generated in jenkins while configuring webhooks, as shown in the figure below.
Select the Pushes in the events and click the Add Webhook option.
Select event Push wildcard expression that mentions the main branch name.
Click the Save changes option to apply the changes. Then, click on the Test option to test the webhook.