Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: qwerty287 <qwerty287@posteo.de> Co-authored-by: qwerty287 <80460567+qwerty287@users.noreply.github.com>
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Workflows
A pipeline has at least one workflow. A workflow is a set of steps that are executed in sequence using the same workspace which is a shared folder containing the repository and all the generated data from previous steps.
In case there is a single configuration in .woodpecker.yaml
Woodpecker will create a pipeline with a single workflow.
By placing the configurations in a folder which is by default named .woodpecker/
Woodpecker will create a pipeline with multiple workflows each named by the file they are defined in. Only .yml
and .yaml
files will be used and files in any subfolders like .woodpecker/sub-folder/test.yaml
will be ignored.
You can also set some custom path like .my-ci/pipelines/
instead of .woodpecker/
in the project settings.
Benefits of using workflows
- faster lint/test feedback, the workflow doesn't have to run fully to have a lint status pushed to the remote
- better organization of a pipeline along various concerns using one workflow for: testing, linting, building and deploying
- utilizing more agents to speed up the execution of the whole pipeline
Example workflow definition
:::warning
Please note that files are only shared between steps of the same workflow (see File changes are incremental). That means you cannot access artifacts e.g. from the build
workflow in the deploy
workflow.
If you still need to pass artifacts between the workflows you need use some storage plugin (e.g. one which stores files in an Amazon S3 bucket).
:::
.woodpecker/
├── .build.yaml
├── .deploy.yaml
├── .lint.yaml
└── .test.yaml
steps:
- name: build
image: debian:stable-slim
commands:
- echo building
- sleep 5
steps:
- name: deploy
image: debian:stable-slim
commands:
- echo deploying
depends_on:
- lint
- build
- test
steps:
- name: test
image: debian:stable-slim
commands:
- echo testing
- sleep 5
depends_on:
- build
steps:
- name: lint
image: debian:stable-slim
commands:
- echo linting
- sleep 5
Status lines
Each workflow will report its own status back to your forge.
Flow control
The workflows run in parallel on separate agents and share nothing.
Dependencies between workflows can be set with the depends_on
element. A workflow doesn't execute until all of its dependencies finished successfully.
The name for a depends_on
entry is the filename without the path, leading dots and without the file extension .yml
or .yaml
. If the project config for example uses .woodpecker/
as path for CI files with a file named .woodpecker/.lint.yaml
the corresponding depends_on
entry would be lint
.
steps:
- name: deploy
image: debian:stable-slim
commands:
- echo deploying
+depends_on:
+ - lint
+ - build
+ - test
Workflows that need to run even on failures should set the runs_on
tag.
steps:
- name: notify
image: debian:stable-slim
commands:
- echo notifying
depends_on:
- deploy
+runs_on: [ success, failure ]
:::info
Some workflows don't need the source code, like creating a notification on failure.
Read more about skip_clone
at pipeline syntax
:::