Variables in pipelines
Variables in pipelines allow you to parameterize the way your pipeline works. Codefresh provides a set of system variables, and the capability to define custom variables.
- System variables are predefined variables prefixed with
CF
.
System variables are automatically included in every pipeline build. Here are some examples of system variables.CF_BRANCH
is the Git branch that was used for this pipeline.CF_REVISION
is the Git hash that was used for this pipeline.CF_BUILD_URL
is the url of the pipeline build.
- User-defined variables are custom variables which you create.
You can create user-defined variables for different entities in Codefresh, such as projects, pipelines and steps, with or without a default value. You can also import variables you may have already defined.
Codefresh supports two syntaxes for variables: the UNIX syntax, and a proprietary syntax for use in YAML files.
Using Codefresh variables in pipelines
There are two ways to use a Codefresh variable in your pipelines:
- Expose as UNIX environment variables
This is the default method. All variables in allfreestyle
steps are exposed as UNIX environment variables. For example,$MY_VARIABLE_EXAMPLE
. - Directly in YAML properties
This format, specific to Codefresh, can be used in in YAML properties with the syntax${{MY_VARIABLE_EXAMPLE}}
.
TIP
If you are unsure about which format to use, feel free to use the Codefresh-specific format with the ${{MY_VARIABLE_EXAMPLE}}
everywhere.
This is the Codefresh specific format and should function in all sections of codefresh.yml
.
Example: Print out the branch as an environment variable
In this example, we use simple echo
commands, but any program or script that reads environment variables can also read them in the same manner.
YAML
Example: Use directly in YAML properties
YAML
Example: Concatenating variables
YAML
The concatenation above creates Docker images with tags such as:
master-df6a04c
develop-ba1cd68
feature-vb145dh
NOTE
This syntax is specific to Codefresh, and is only available within the Codefresh YAML file itself.
To write scripts or programs that use Codefresh variables, you need to make them aware of the environment variable form.
System variables
System variables are automatically injected to any freestyle step as environment variables.
The values of Git-based system variables, such as CF_BRANCH
, CF_COMMIT_MESSAGE
, CF_REVISION
etc. are retrieved directly from the Git provider you use, and therefore have the same limitations of that provider.
For example, GitLab sends less information in Pull Request (PR) events than normal pushes, and Bitbucket sends only the short hash of a commit in PR events. We suggest you read the documentation of your Git provider first to understand what information is available for every Git event.
Gerrit for example, has change-Id
and Changes
that you can map to CF_PULL_REQUEST
variables, such as CF_PULL_REQUEST_ID
and more.
The table below describes the system variables.
Variable | Description |
---|---|
${{CF_REPO_OWNER}} |
The repository owner. |
${{CF_REPO_NAME}} |
The repository name. |
${{CF_BRANCH}} |
The branch name or tag (depending on the payload JSON) of the Git repository associated with the main pipeline at the time of execution. - To utilize the normalized version of the branch name, use ${{CF_BRANCH_TAG_NORMALIZED}} . This variable ensures that special characters are removed, resulting in a branch name without any characters that are illegal for use as a Docker image tag name.- For a normalized version in lowercase, you can use ${{CF_BRANCH_TAG_NORMALIZED_LOWER_CASE}} . |
${{CF_BASE_BRANCH}} |
The base branch from which the tag is created. |
${{CF_PULL_REQUEST_ACTION}} |
The PR (Pull Request) action with values based on the Git provider. - GitHub -GitLab -Bitbucket |
${{CF_PULL_REQUEST_ID}} |
The ID of the Pull Request (PR). For Gerrit, use this in place of changeId . |
${{CF_PULL_REQUEST_TARGET}} |
The target branch of the PR. For Gerrit, use this in place of Change target branch name . |
${{CF_PULL_REQUEST_NUMBER}} |
The PR (Pull Request) number. |
${{CF_PULL_REQUEST_LABELS}} |
For GitHub and GitLab, the labels assigned to the PRs. For Gerrit, the change hashtags . |
${{CF_PULL_REQUEST_COMMENT}} |
The comment added to the PR. For Gerrit, use this in place of Change message . |
${{CF_PULL_REQUEST_COMMENT_AUTHOR}} |
The user who added the comment to the PRt. For Gerrit, use this in place of Change author . |
${{CF_COMMIT_AUTHOR}} |
The name of the user who authored the commit. |
${{CF_BUILD_INITIATOR}} |
The username of the user who initiated the build. If the build is initiated by a Git webhook, as for example from a PR, this variable returns the webhook user. If the build is restarted manually, the variable always returns the username of the person who restarted the build. |
${{CF_ACCOUNT}} |
The Codefresh account for this build. |
${{CF_COMMIT_URL}} |
The commit URL. |
${{CF_COMMIT_MESSAGE}} |
The commit message of the Git repository revision, at the time of execution. The messages quotes are escaped (i.e. ‘ is not ', “ is now "). |
${{CF_COMMIT_MESSAGE_ESCAPED}} |
The commit message of the Git repository revision, at the time of execution. Special characters are escaped. |
${{CF_REVISION}} |
The revision of the Git repository of the main pipeline, at the time of execution. To get the abbreviated 7-character revision hash as used in Git, use ${{CF_SHORT_REVISION}} . NOTE: To tag the image as a string with quotes, use ${{CF_SHORT_REVISION}} . |
${{CF_VOLUME_NAME}} |
The shared volume defined in compositions. |
${{CF_VOLUME_PATH}} |
The mounted path of the shared volume within a freestyle container. In the current implementation it expands to /codefresh/volume . |
${{CF_BUILD_TRIGGER}} |
The indication of how the current build was triggered:
|
${{CF_BUILD_ID}} |
The build ID. NOTE: To use this variable as a string to to tag the image, enclose it in quotes, "${{CF_BUILD_ID}}" . |
${{CF_BUILD_TIMESTAMP}} |
The timestamp when the build was created. NOTE: To use this variable as a string to to tag the image, enclose it in quotes, "${{CF_BUILD_TIMESTAMP}}" . |
${{CF_BUILD_URL}} |
The URL to the build in Codefresh. |
${{CF_PIPELINE_NAME}} |
The full path of the pipeline, including the project to which it is assigned, if any, as in “project/pipeline”. |
${{CF_STEP_NAME}} |
The name of the step, for example, “MyUnitTests”. |
${{CF_URL}} |
The URL of the Codefresh platform. |
${{CF_OUTPUT_URL}} |
Display link to an external URL on step execution. For example, display the link to a parent-build from the child-build. See Export external link with CF_OUTPUT_URL in this article. |
${{CI}} |
The value is always true . |
${{CF_KUBECONFIG_PATH}} |
Path to injected kubeconfig if at least one Kubernetes cluster is configured. You can easily run custom kubectl commands since it is automatically set up by Codefresh in all pipelines. |
Context-related variables
Context-related variables are system variables created dynamically during the workflow execution, according to the steps used in the pipeline.
Variable | Description |
---|---|
Working Directories | For example, you can set the working directory of step A with a variable named after a previously executed step, step B . Therefore, setting step A with working-directory:${{B}} means that step A executes in the same working directory as step B . |
Images | You can set the candidate field of the push step with a variable named after a previously executed build step. Since the details of the created image are not necessarily known ahead of time, the variable can create an association to an optionally dynamic image name. Therefore, setting push step A with candidate:${{B}} means that step A will push the image built by step B . Note that this capability works only for candidate and image fields in Codefresh steps. |
A very common pattern in Codefresh pipelines, is to create a Docker image in one step, and then run a command on its container in the next step (e.g. run unit tests):
YAML
In the example above, you can see the MyAppDockerImage
variable that denotes a Docker image created dynamically within this single pipeline. In the second step we use it as a Docker context in order to run unit tests. See also the unit testing example app.
Step variables
Every step in a Codefresh pipeline also exposes several built-in variables. You can access them via the global steps
parent variable.
Each step creates a variable based on the name of the step. You can then use the members of each variable for status conditions such as: steps.MyUnitTests.result == 'error'
for a step called MyUnitTests
.
To access variables that have non-standard names with only alphanumeric and underscore (_) characters, use the Variable() function.
Step-member variables
Variables that are created by steps can have members. The members depend on the step type.
For example, if you have a build step named myBuildStep
, you can get the ID of the docker image that is created, with echo ${{steps.myBuildStep.imageId}}
.
Step Type | Members |
---|---|
All step types |
|
Freestyle | - |
Composition | - |
Build |
|
Git-clone |
|
Push |
|
Approval |
|
GitHub release variables
GitHub allows you to create releases to mark specific Git tags for general availability.
You can set a trigger for GitHub releases. When there is a GitHub release, the following variables are also available:
Variable | Description |
---|---|
${{CF_RELEASE_NAME}} |
The GitHub release title. |
${{CF_RELEASE_TAG}} |
The Git tag version. |
${{CF_RELEASE_ID}} |
The internal ID for the release. |
${{CF_PRERELEASE_FLAG}} |
Indicates if the release is production-ready or not.true : The release is marked as non-production ready.false : The release is ready for production. |
GitHub Pull Request variables
The table lists the variables available when a PR (Pull Request) is closed in GitHub.
Variable | Description |
---|---|
${{CF_PULL_REQUEST_MERGED}} |
Set to:true : The PR was merged to base branch.false : The PR was not merged. |
${{CF_PULL_REQUEST_HEAD_BRANCH}} |
The head branch of the PR, which is the branch to be merged to master. |
${{CF_PULL_REQUEST_MERGED_COMMIT_SHA}} |
The commit SHA on the base branch after the PR was merged. In most cases it will be the master. |
${{CF_PULL_REQUEST_HEAD_COMMIT_SHA}} |
The commit SHA on the head branch, which is the branch to push to master. |
Gerrit changeId & change message variables
Gerrit has no explicit concept of PRs as in other version control systems to map trigger event payloads to builds. Instead, Gerrit uses Changes
which serves a similar purpose and functionality as PRs. You can achieve the same functionality in Codefresh with our CF_PULL_REQUEST
group of environment variables.
Variable | Description |
---|---|
${{CF_PULL_REQUEST_ID}} |
The change identified by the change-Id . |
${{CF_PULL_REQUEST_TARGET}} |
The target branch of the pull request. For Gerrit, use this in place of Change target branch name . |
${{CF_PULL_REQUEST_COMMENT}} |
The comment added to the pull request. For Gerrit, use this in place of Change message . |
${{CF_PULL_REQUEST_COMMENT_AUTHOR}} |
The user who added the comment to the pull request. For Gerrit, use this in place of Change author . |
User-defined variables
User-defined variables are custom variables you add to Codefresh entities such as projects, pipelines, build triggers, and manual build runs.
You create such variables manually or by importing predefined variables from files (see How to). You can also create empty variables, without any values.
Empty user-defined variables
Codefresh allows you to add variables with just the key definitions, without values. The values are automatically populated during pipeline execution or defined manually. You can add empty variables to:
- Projects
- Pipelines
- Build triggers
NOTE
Encryption is not supported for empty variables.
Import user-defined variables in bulk
Add custom variables in bulk by pasting them into the text editor or by importing them from a file.
-
Import from text
This is a quick option to add variables defined locally or in specific environments to a pipeline. You simply copy the set of variables and paste them into the text editor. -
Import from file
Importing from a file is useful when you have a file containing the predefined variables.
Priority for user-defined variable overrides
In Codefresh, becuase you can add user-defined variables to different entities, variable definitions are available at levels.
If the variable with the same name is defined at multiple levels, the override rules are based on the priority of the variable.
Variables at levels with higher priority override those at levels with lower priority.
For example if a pipeline variable is defined both within a project, and as an execution parameter of a specific build, the final result will be the value of the variable defined as a build parameter. The project-level variable is ignored.
Listed below are the different levels for user-defined variables in order of priority, from the highest to the lowest.
- Steps
export
command
Within the current step usingexport
), or in any subsequent step using cf_export commands.freestyle
steps withenvironment
field.
NOTE
Step-level variables withexport
take precedence over freestyle-step variables withenvironment
.
- Builds
Within a specific build execution from the Codefresh UI or from the CLI. - Pipelines
- Shared-configurations
- Projects
The variables are injected into pipelines from different sources and at different levels. To view the variables actually used by a specific build of the pipeline, see Viewing variables in pipeline builds.
Create user-defined variables
Create user-defined variables by selecting the target entity and then adding the variables.
Step 1: Select entity to which to add variables
You can create user-defined variables for projects, pipelines, build runs, and steps.
- Projects
In the row with the Project to which to add variables, click the Settings icon, and then click the Variables tab.
- Pipelines
- In the row with the Pipeline to which to add variables, click the Settings icon.
- On the right, click Variables.
- Steps
- Select the pipeline.
- In the Workflow tab, add the variable with the correct syntax to the step as required.
- Builds
- From the Builds page, in the Pipelines column, click the pipeline name.
- Click Run.
- Expand Build Variables.
Step 2: Add variables
Add variables manually by defining them as key-value pairs, or by importing them from files.
When adding variables, manually or through import, you can add/include empty variables, that is add only the key for the variable and leave the value empty to be dynamically or manually populated. Apart from empty variables, you can also encrypt sensitive variables for reasons of security.
- To manually add variables, click Add Variable.
- To add the variable with its default value, enter the key-value pair.
- To add an empty variable without a default value, simply type the key.
- (Applies only to projects and pipelines) To import by copy and paste, click Import from Text.
- Copy the set of variables to add.
- Paste into the text editor.
- Click Import
- (Applies only to projects and pipelines) To import them from a file, click Import from File.
- Browse to the file to import, and then click Import.
- Click Save.
- To encrypt the variables (not supported for empty variables), click Encrypt, and confirm.
Exporting environment variables from a freestyle step
Steps defined within steps are scoped to the step within which they were created, even when using the export
command.
To use variables across steps, we provide a shared file through which you can import and export variables.
There are two ways to add variables to the shared file:
- Using the
cf_export
command - Writing directly to the file
Exporting variables with cf_export
Within every freestyle step, the cf_export
command allows you to export variables across steps by writing to the shared variables file.
NOTE
Variables exported throughcf_export
override those at the pipeline-level.
You can either:
- Explicitly state a VAR=VAL pair
- State the name of an existing exported environment variable (like EXISTING_VAR).
cf_export
syntax
cf_export
has the same syntax as the bash export command.
This means that when you use cf_export
, you don’t need to add dollar signs for the variable that is created/assigned.
cf_export $MY_VAR # Don't do this
cf_export MY_VAR # Correct syntax
Masking variables within cf_export
Mask variables within cf_export
by defining the --mask
flag.
Values of masked variables in cf_export
commands are replaced with asterisks in the build logs. This helps to ensure that sensitive information is not exposed also in the variables list, in addition to the logs.
Here is an example with standard and masked versions of the same variable in cf_export
commands.
Export variables to all steps with cf_export
By default, cf_export
works only subsequent steps - the steps that follow the step in which it is defined.
To export a variable both in the current step, and to all the remaining steps, do the following:
export MY_VAR='example' # Makes MY_VAR available in this step only
cf_export MY_VAR='example' # Makes MY_VAR available also to all steps after this one
There is nothing really magical about cf_export
. It is a normal script. You can see its contents on your own by entering the command cat /codefresh/volume/cf_export
on any Codefresh freestyle step inside a pipeline.
For more information on its limitations, see the troubleshooting page.
Directly writing to the file
For more advanced use cases, you can write directly to the shared variable file that Codefresh reads to understand which variables need to be available to all steps.
This file has a simple format where each line is a variable, and its value in the form of VARIABLE=VALUE
.
The cf_export
command mentioned in the previous section is just a shorthand for writing on this file.
The variables file is available inside freestyle steps in the following path: ${{CF_VOLUME_PATH}}/env_vars_to_export
.
Use this technique if you have complex expressions that have issues with the cf_export
command.
Exporting external link with CF_OUTPUT_URL
Use the CF_OUTPUT_URL
variable to export any external in the form of a URL.
This variable can be useful to output the URL of the parent pipeline, and navigate from the child to the parent build. Remember that Codefresh has native support to trigger child builds from parent builds, and to navigate from the parent to the child build through the codefresh-run
plugin (link).
Add CF_OUTPUT_URL
with cf_export
Simply add a step to the child build with an in-step link to the parent build. The URL link to the parent build is displayed as part of the step details in the Builds page.
Create a link to the parent-build using cf_export
and CF_OUTPUT_URL
.
Example step in child build to output link to parent
Add the following step at the beginning of the pipeline.
NOTE
The name of the variable exported bycf_export
must have the format<name|key_of_step>_CF_OUTPUT_URL
. It’s value is the URL of the parent build to link to.
steps:
...
linkToParentBuild:
image: codefresh/cli
commands:
- export parentBuildId=$(codefresh get annotation build ${{CF_BUILD_ID}} cf_predecessor -o json | jq -r '.value')
- cf_export linkToParentBuild_CF_OUTPUT_URL="${{CF_URL}}/build/${parentBuildId}"
...
In the Builds page, the step details of the child build displays the Output URL which is the link to the parent build, as in the image below.
Masking variables in logs
Codefresh has the built-in capability to automatically mask encyrpted variables in logs. In build logs, the values of encrypted variables are replaced with asterisks.
The variables can be defined in any of the usual ways Codefresh offers, such as shared configuration or within the pipeline:
NOTE
This feature is currently available only in Enterprise accounts.
Escape special characters in variables
When passing special characters through environment variables, use \
as an escape character.
For example, to pass a Cassandra connection string, you might do something like Points\=hostname\;Port\=16376\;Username\=user\;Password\=password
.
This will safely escape ;
and =
.