- Overview
- Usage
- Authentication Methods
- Setting the build name and build number when publishing build-info to Artifactory
- Setting JFrog CLI version
- Setting the JFrog project key
- Downloading JFrog CLI from Artifactory
- JFrog Job Summary
- Example projects
- Contributions
- References
This GitHub Action downloads, installs and configures JFrog CLI, so that it can be used as part of the workflow.
Additionally, the Action incorporates the following features when utilizing JFrog CLI to interact with the JFrog Platform:
- Three distinct methods are available for authenticating with the JFrog Platform. Explore more details here
- There's no need to add the build name and build number options and arguments to commands which accept them. All build related operations will be automatically recorded with the Workflow Name as build name and Run Number as build number.
- uses: jfrog/setup-jfrog-cli@v4
- run: jf --version
# + Authentication method
JFrog CLI integrates with the JFrog Platform. In order to facilitate this connection, certain connection details of the JFrog Platform must be provided. There exist three methods to provide these details, and you only need to choose one method:
๐ Storing the connection details using environment variables
The connection details of the JFrog platform used by this action can be stored as GitHub secrets (or GitHub Variables for non-secret values)
You can set the connection details to your JFrog Platform by using one of the following combinations:
- JF_URL (no authentication)
- JF_URL + JF_USER + JF_PASSWORD (basic authentication)
- JF_URL + JF_ACCESS_TOKEN (authentication using a JFrog Access Token)
You can use these environment variables in your workflow as follows:
- uses: jfrog/setup-jfrog-cli@v4
env:
# JFrog Platform url
JF_URL: ${{ vars.JF_URL }} # or 'https://acme.jfrog.io'
# Basic authentication credentials
JF_USER: ${{ secrets.JF_USER }}
JF_PASSWORD: ${{ secrets.JF_PASSWORD }}
# or
# JFrog Platform access token
JF_ACCESS_TOKEN: ${{ secrets.JF_ACCESS_TOKEN }}
- run: |
jf rt ping
๐ค Connecting to JFrog using OIDC (OpenID Connect)
The sensitive connection details, such as the access token used by JFrog CLI on the JFrog platform, can be automatically generated by the action instead of storing it as a secret in GitHub. This is made possible by leveraging the OpenID-Connect (OIDC) protocol. This protocol can authenticate the workflow issuer and supply a valid access token, requiring only the JF_URL environment variable. Learn more about this integration in this blog post. To utilize the OIDC protocol, follow these steps:
- Configure an OIDC Integration: This phase sets an integration between GitHub Actions to the JFrog platform.
NOTE: |
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The value specified as the 'Provider Name' should be used as the oidc-provider-name input in Workflow configuration step 2 below. |
The 'Audience' field does not represent the 'aud' claim for insertion into the identity-mapping in Platform configuration step 2 below. Only the claims included in the Claims Json created during step 2 will be validated. |
-
Configure an identity mapping: This phase sets an integration between a particular GitHub repository to the JFrog platform.
An identity mapping is a configuration object utilized by the JFrog Platform to associate incoming OIDC claims with particular selected fields. These fields might include
repository
,actor
,workflow
, and others. To configure the identity mapping, click on the identity mapping created in section 1 and then click onAdd Identity Mapping
. Fill in priority 1 and fill out all required fields:You have the flexibility to define any valid list of claims required for request authentication. You can check a list of the possible claims here. Example Claims JSON:
{ "repository": "repository-owner/repository-name" }
-
Set required permissions: In the course of the protocol's execution, it's imperative to acquire a JSON Web Token (JWT) from GitHub's OIDC provider. To request this token, it's essential to configure the specified permission in the workflow file:
permissions: id-token: write
-
Pass the 'oidc-provider-name' input to the Action (Required): The 'oidc-provider-name' parameter designates the OIDC configuration whose one of its identity mapping should align with the generated JWT claims. This input needs to align with the 'Provider Name' value established within the OIDC configuration in the JFrog Platform.
-
Pass the 'oidc-audience' input to the Action (Optional): The 'oidc-audience' input defines the intended recipients of an ID token (JWT), ensuring access is restricted to authorized recipients for the JFrog Platform. By default, it contains the URL of the GitHub repository owner. It enforces a condition, allowing only workflows within the designated repository/organization to request an access token. Read more about it here.
Example step utilizing OpenID Connect:
- uses: jfrog/setup-jfrog-cli@v4
env:
JF_URL: ${{ vars.JF_URL }}
with:
oidc-provider-name: setup-jfrog-cli
Notice: When using OIDC authentication, this action outputs both the OIDC token and the OIDC token username. These can be utilized within the current workflow to log into the JFrog platform through other actions or clients (e.g., for use with docker login
). The added outputs are oidc-token
and oidc-user
, respectively.
โ๏ธ Storing the connection details using single Config Token
- Make sure JFrog CLI is installed on your local machine by running
jf -v
. - Configure the details of the JFrog platform by running
jf c add
. - Export the details of the JFrog platform you configured, using the server ID you chose. Do this by running
jf c export <SERVER ID>
. - Copy the generated Config Token to the clipboard and save it as a secret on GitHub.
To use the saved JFrog platform configuration in the workflow, all you need to do it to expose the secret to the workflow. The secret should be exposed as an environment variable with the JFENV prefix. Here's how you do this:
- uses: jfrog/setup-jfrog-cli@v4
env:
JF_ENV_1: ${{ secrets.JF_SECRET_ENV_1 }}
- run: |
# Ping the server
jf rt ping
As you can see in the example above, we created a secret named JF_SECRET_ENV_1 and exposed it to the workflow as the JF_ENV_1 environment variable. That's it - the ping command will now ping the configured Artifactory server.
If you have multiple Config Tokens as secrets, you can use all of them in the workflow as follows:
- uses: jfrog/setup-jfrog-cli@v4
env:
JF_ENV_1: ${{ secrets.JF_SECRET_ENV_1 }}
JF_ENV_2: ${{ secrets.JF_SECRET_ENV_2 }}
- run: |
# Set the utilized JFrog configuration by providing the server ID (configured by the 'jf c add' command).
jf c use local-1
# Ping local-1 Artifactory server
jf rt ping
# Now use the second sever configuration exposed to the Action.
jf c use local-2
# Ping local-2 Artifactory server
jf rt ping
Important: When exposing more than one JFrog configuration to the Action, you should always add the jf c use command to specify the server to use. |
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Important: If both Config Token(JF_ENV_* ) and separate environment variables(JF_URL , ...) are provided, the default config will be the Config Token. To make the above separate environment variables as the default config use jf c use setup-jfrog-cli-server |
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The Action automatically sets the following environment variables: JFROG_CLI_BUILD_NAME and JFROG_CLI_BUILD_NUMBER with the workflow name and run number respectively. You therefore don't need to specify the build name and build number on any of the build related JFrog CLI commands.
In the following example, all downloaded files are registered as dependencies of the build and all uploaded files are registered as the build artifacts.
- run: |
jf rt download "my-repo/artifacts/*" local-dir/
jf rt upload "local-dir/*" new-repo/my-artifacts/
jf rt build-publish
You may override the default build name and number by setting the above variables in your workflow.
By default, the JFrog CLI version set in action.yml is used. To set a specific version, add the version input as follows:
- uses: jfrog/setup-jfrog-cli@v4
with:
version: X.Y.Z
It is also possible to set the latest JFrog CLI version by adding the version input as follows:
- uses: jfrog/setup-jfrog-cli@v4
with:
version: latest
Important: Only JFrog CLI versions 1.46.4 or above are supported. |
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JFrog Projects are a management entity that hosts all your resources related to a specific project, such as repositories, builds and Release Bundles.
By default, the JFrog CLI accepts a project flag in some of its commands.
You can set the project key in the environment variable JF_PROJECT
to avoid passing it in each command.
- uses: jfrog/setup-jfrog-cli@v4
env:
JF_PROJECT: "project-key"
If your agent has no Internet access, you can configure the workflow to download JFrog CLI from a remote repository in your JFrog Artifactory, which is configured to proxy the official download URL.
Here's how you do this:
-
Create a remote repository in Artifactory. Name the repository jfrog-cli-remote and set its URL to https://releases.jfrog.io/artifactory/jfrog-cli/
-
Set download-repository input to jfrog-cli-remote:
- uses: jfrog/setup-jfrog-cli@v4 env: # JFrog platform url (for example: https://acme.jfrog.io) JF_URL: ${{ vars.JF_URL }} JF_ACCESS_TOKEN: ${{ secrets.JF_ACCESS_TOKEN }} with: download-repository: jfrog-cli-remote
Jobs using this GitHub action will output a summary of some of the key commands that were performed using JFrog CLI.
The summary can be viewed from the GitHub Actions run page and is enabled by default.
To fully leverage from the JFrog Job Summary, one should:
- Use JFrog CLI version 2.62.0 or above.
- Set
JF_URL
as a GitHub Variable rather than a GitHub secret (see note below). - Collect build info and publish it using JFrog CLI.
NOTE: The Job Summary includes direct links to the JFrog Platform UI. For the links to function correctly,
JF_URL
should be set as a variable rather than a secret. This is to prevent GitHub from masking the URL.
Example JFrog Job Summary:
Job summaries can be disabled by setting the disable-job-summary
input to true
.
- uses: jfrog/setup-jfrog-cli@v4
with:
disable-job-summary: true
The setup-jfrog-cli GitHub Action leverages the Command Summaries feature of the JFrog CLI to generate a detailed summary of the entire workflow.
The final summary will include the summary of each CLI command that supports this feature. To read more about the JFrog CLI supported commands, visit the following link: JFrog CLI Command Summaries Documentation.
To help you get started, you can use these sample projects on GitHub.
We welcome pull requests from the community. To help us improve this project, please read our Contribution guide.