woodpecker/docs/docs/20-usage/25-workflows.md
qwerty287 b2cfa37682
Deprecate environment filter and improve errors (#3634)
Co-authored-by: Anbraten <6918444+anbraten@users.noreply.github.com>
2024-04-24 16:07:16 +02:00

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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](./75-project-settings.md).
## 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](./20-workflow-syntax.md#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](./51-plugins/51-overview.md) (e.g. one which stores files in an Amazon S3 bucket).
:::
```bash
.woodpecker/
├── .build.yaml
├── .deploy.yaml
├── .lint.yaml
└── .test.yaml
```
```yaml title=".woodpecker/.build.yaml"
steps:
- name: build
image: debian:stable-slim
commands:
- echo building
- sleep 5
```
```yaml title=".woodpecker/.deploy.yaml"
steps:
- name: deploy
image: debian:stable-slim
commands:
- echo deploying
depends_on:
- lint
- build
- test
```
```yaml title=".woodpecker/.test.yaml"
steps:
- name: test
image: debian:stable-slim
commands:
- echo testing
- sleep 5
depends_on:
- build
```
```yaml title=".woodpecker/.lint.yaml"
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`.
```diff
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.
```diff
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](./20-workflow-syntax.md#skip_clone)
:::