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Delete docs for v0.15.x (#3508)

Browse source 
they will remain in the git history ... but we should not promote them
anymore at all

PS: we only have terminology since v1.0.x ... so even reference to same
topics is hard in old docs

---------

Co-authored-by: Anbraten <6918444+anbraten@users.noreply.github.com>
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@ -275,10 +275,6 @@ const config: Config = {
label: '1.0.x',
banner: 'unmaintained',
},
'0.15': {
label: '0.15.x',
banner: 'unmaintained',
},
},
},
blog: {

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# Welcome to Woodpecker
Woodpecker is a simple CI engine with great extensibility. It runs your pipelines inside [Docker](https://www.docker.com/) containers, so if you are already using them in your daily workflow, you'll love Woodpecker for sure.
![woodpecker](woodpecker.png)
## .woodpecker.yml
- Place your pipeline in a file named `.woodpecker.yml` in your repository
- Pipeline steps can be named as you like
- Run any command in the commands section
```yaml
# .woodpecker.yml
pipeline:
build:
image: debian
commands:
- echo "This is the build step"
a-test-step:
image: debian
commands:
- echo "Testing.."
```
### Build steps are containers
- Define any Docker image as context
- either use your own and install the needed tools in custom Docker images, or
- search [Docker Hub](https://hub.docker.com/search?type=image) for images that are already tailored for your needs
- List the commands that should be executed in your container, in order to build or test your application
```diff
pipeline:
build:
- image: debian
+ image: mycompany/image-with-awscli
commands:
- aws help
```
### File changes are incremental
- Woodpecker clones the source code in the beginning pipeline
- Changes to files are persisted through steps as the same volume is mounted to all steps
```yaml
# .woodpecker.yml
pipeline:
build:
image: debian
commands:
- touch myfile
a-test-step:
image: debian
commands:
- cat myfile
```
## Plugins are straightforward
- If you copy the same shell script from project to project
- Pack it into a plugin instead
- And make the yaml declarative
- Plugins are Docker images with your script as an entrypoint
```Dockerfile
# Dockerfile
FROM laszlocloud/kubectl
COPY deploy /usr/local/deploy
ENTRYPOINT ["/usr/local/deploy"]
```
```bash
# deploy
kubectl apply -f $PLUGIN_TEMPLATE
```
```yaml
# .woodpecker.yml
pipeline:
deploy-to-k8s:
image: laszlocloud/my-k8s-plugin
template: config/k8s/service.yml
```
See [plugin docs](./20-usage/51-plugins/10-plugins.md).
## Continue reading
- [Create a Woodpecker pipeline for your repository](./20-usage/10-intro.md)
- [Setup your own Woodpecker instance](./30-administration/00-setup.md)

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# Getting started
## Repository Activation
To activate your project navigate to your account settings. You will see a list of repositories which can be activated with a simple toggle. When you activate your repository, Woodpecker automatically adds webhooks to your version control system (e.g. GitHub).
Webhooks are used to trigger pipeline executions. When you push code to your repository, open a pull request, or create a tag, your version control system will automatically send a webhook to Woodpecker which will in turn trigger pipeline execution.
![repository list](repo-list.png)
> Required Permissions
>
>The user who enables a repo in Woodpecker must have `Admin` rights on that repo, so that Woodpecker can add the webhook.
>
> Note that manually creating webhooks yourself is not possible. This is because webhooks are signed using a per-repository secret key which is not exposed to end users.
## Configuration
To configure your pipeline you should place a `.woodpecker.yml` file in the root of your repository. The .woodpecker.yml file is used to define your pipeline steps. It is a superset of the widely used docker-compose file format.
:::info
Currently, only YAML 1.1 syntax is supported for pipeline configuration files. YAML 1.2 support is [planned for the future](https://github.com/woodpecker-ci/woodpecker/issues/517)!
:::
Example pipeline configuration:
```yaml
pipeline:
build:
image: golang
commands:
- go get
- go build
- go test
services:
postgres:
image: postgres:9.4.5
environment:
- POSTGRES_USER=myapp
```
Example pipeline configuration with multiple, serial steps:
```yaml
pipeline:
backend:
image: golang
commands:
- go get
- go build
- go test
frontend:
image: node:6
commands:
- npm install
- npm test
notify:
image: plugins/slack
channel: developers
username: woodpecker
```
## Execution
To trigger your first pipeline execution you can push code to your repository, open a pull request, or push a tag. Any of these events triggers a webhook from your version control system and execute your pipeline.

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# Pipeline syntax
The pipeline section defines a list of steps to build, test and deploy your code. Pipeline steps are executed serially, in the order in which they are defined. If a step returns a non-zero exit code, the pipeline immediately aborts and returns a failure status.
Example pipeline:
```yaml
pipeline:
backend:
image: golang
commands:
- go build
- go test
frontend:
image: node
commands:
- npm install
- npm run test
- npm run build
```
In the above example we define two pipeline steps, `frontend` and `backend`. The names of these steps are completely arbitrary.
## Global Pipeline Conditionals
Woodpecker gives the ability to skip whole pipelines (not just steps) based on certain conditions.
### `branches`
Woodpecker can skip commits based on the target branch. If the branch matches the `branches:` block the pipeline is executed, otherwise it is skipped.
Example skipping a commit when the target branch is not master:
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
+branches: master
```
Example matching multiple target branches:
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
+branches: [ master, develop ]
```
Example uses glob matching:
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
+branches: [ master, feature/* ]
```
Example includes branches:
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
+branches:
+ include: [ master, feature/* ]
```
Example excludes branches:
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
+branches:
+ exclude: [ develop, feature/* ]
```
### `platform`
To configure your pipeline to only be executed on an agent with a specific platform, you can use the `platform` key.
Have a look at the official [go docs](https://go.dev/doc/install/source) for the available platforms. The syntax of the platform is `GOOS/GOARCH` like `linux/arm64` or `linux/amd64`.
Example:
Assuming we have two agents, one `arm` and one `amd64`. Previously this pipeline would have executed on **either agent**, as Woodpecker is not fussy about where it runs the pipelines. By setting the following option it will only be executed on an agent with the platform `linux/arm64`.
```diff
+platform: linux/arm64
pipeline:
build:
image: golang
commands:
- go build
- go test
```
### Skip Commits
Woodpecker gives the ability to skip individual commits by adding `[CI SKIP]` to the commit message. Note this is case-insensitive.
```diff
git commit -m "updated README [CI SKIP]"
```
## `services`
Woodpecker can provide service containers. They can for example be used to run databases or cache containers during the execution of pipeline.
For more details check the [services docs](./60-services.md).
## Steps
Every step of your pipeline executes arbitrary commands inside a specified docker container. The defined commands are executed serially.
The associated commit of a current pipeline run is checked out with git to a workspace which is mounted to every step of the pipeline as the working directory.
```diff
pipeline:
backend:
image: golang
commands:
+ - go build
+ - go test
```
### File changes are incremental
- Woodpecker clones the source code in the beginning pipeline
- Changes to files are persisted through steps as the same volume is mounted to all steps
```yaml
# .woodpecker.yml
pipeline:
build:
image: debian
commands:
- echo "test content" > myfile
a-test-step:
image: debian
commands:
- cat myfile
```
### `image`
Woodpecker uses Docker images for the build environment, for plugins and for service containers. The image field is exposed in the container blocks in the Yaml:
```diff
pipeline:
build:
+ image: golang:1.6
commands:
- go build
- go test
publish:
+ image: plugins/docker
repo: foo/bar
services:
database:
+ image: mysql
```
Woodpecker supports any valid Docker image from any Docker registry:
```text
image: golang
image: golang:1.7
image: library/golang:1.7
image: index.docker.io/library/golang
image: index.docker.io/library/golang:1.7
```
Woodpecker does not automatically upgrade docker images. Example configuration to always pull the latest image when updates are available:
```diff
pipeline:
build:
image: golang:latest
+ pull: true
```
#### Images from private registries
You must provide registry credentials on the UI in order to pull private pipeline images defined in your Yaml configuration file.
These credentials are never exposed to your pipeline, which means they cannot be used to push, and are safe to use with pull requests, for example. Pushing to a registry still require setting credentials for the appropriate plugin.
Example configuration using a private image:
```diff
pipeline:
build:
+ image: gcr.io/custom/golang
commands:
- go build
- go test
```
Woodpecker matches the registry hostname to each image in your yaml. If the hostnames match, the registry credentials are used to authenticate to your registry and pull the image. Note that registry credentials are used by the Woodpecker agent and are never exposed to your build containers.
Example registry hostnames:
- Image `gcr.io/foo/bar` has hostname `gcr.io`
- Image `foo/bar` has hostname `docker.io`
- Image `qux.com:8000/foo/bar` has hostname `qux.com:8000`
Example registry hostname matching logic:
- Hostname `gcr.io` matches image `gcr.io/foo/bar`
- Hostname `docker.io` matches `golang`
- Hostname `docker.io` matches `library/golang`
- Hostname `docker.io` matches `bradyrydzewski/golang`
- Hostname `docker.io` matches `bradyrydzewski/golang:latest`
#### Global registry support
To make a private registry globally available check the [server configuration docs](../30-administration/10-server-config.md#global-registry-setting).
#### GCR registry support
For specific details on configuring access to Google Container Registry, please view the docs [here](https://cloud.google.com/container-registry/docs/advanced-authentication#using_a_json_key_file).
### `commands`
Commands of every pipeline step are executed serially as if you would enter them into your local shell.
```diff
pipeline:
backend:
image: golang
commands:
+ - go build
+ - go test
```
There is no magic here. The above commands are converted to a simple shell script. The commands in the above example are roughly converted to the below script:
```diff
#!/bin/sh
set -e
go build
go test
```
The above shell script is then executed as the docker entrypoint. The below docker command is an (incomplete) example of how the script is executed:
```
docker run --entrypoint=build.sh golang
```
> Please note that only build steps can define commands. You cannot use commands with plugins or services.
### `environment`
Woodpecker provides the ability to pass environment variables to individual pipeline steps.
For more details check the [environment docs](./50-environment.md).
### `secrets`
Woodpecker provides the ability to store named parameters external to the Yaml configuration file, in a central secret store. These secrets can be passed to individual steps of the pipeline at runtime.
For more details check the [secrets docs](./40-secrets.md).
### `when` - Conditional Execution
Woodpecker supports defining conditional pipeline steps in the `when` block.
For more details check the [Conditional Step Execution](./22-conditional-execution.md).
### `group` - Parallel execution
Woodpecker supports parallel step execution for same-machine fan-in and fan-out. Parallel steps are configured using the `group` attribute. This instructs the pipeline runner to execute the named group in parallel.
Example parallel configuration:
```diff
pipeline:
backend:
+ group: build
image: golang
commands:
- go build
- go test
frontend:
+ group: build
image: node
commands:
- npm install
- npm run test
- npm run build
publish:
image: plugins/docker
repo: octocat/hello-world
```
In the above example, the `frontend` and `backend` steps are executed in parallel. The pipeline runner will not execute the `publish` step until the group completes.
### `volumes`
Woodpecker gives the ability to define Docker volumes in the Yaml. You can use this parameter to mount files or folders on the host machine into your containers.
For more details check the [volumes docs](./70-volumes.md).
### `detach`
Woodpecker gives the ability to detach steps to run them in background until the pipeline finishes.
For more details check the [service docs](./60-services.md#detachment).
## Advanced Configurations
### `workspace`
The workspace defines the shared volume and working directory shared by all pipeline steps. The default workspace matches the below pattern, based on your repository url.
```
/drone/src/github.com/octocat/hello-world
```
The workspace can be customized using the workspace block in the Yaml file:
```diff
+workspace:
+ base: /go
+ path: src/github.com/octocat/hello-world
pipeline:
build:
image: golang:latest
commands:
- go get
- go test
```
The base attribute defines a shared base volume available to all pipeline steps. This ensures your source code, dependencies and compiled binaries are persisted and shared between steps.
```diff
workspace:
+ base: /go
path: src/github.com/octocat/hello-world
pipeline:
deps:
image: golang:latest
commands:
- go get
- go test
build:
image: node:latest
commands:
- go build
```
This would be equivalent to the following docker commands:
```
docker volume create my-named-volume
docker run --volume=my-named-volume:/go golang:latest
docker run --volume=my-named-volume:/go node:latest
```
The path attribute defines the working directory of your build. This is where your code is cloned and will be the default working directory of every step in your build process. The path must be relative and is combined with your base path.
```diff
workspace:
base: /go
+ path: src/github.com/octocat/hello-world
```
```text
git clone https://github.com/octocat/hello-world \
/go/src/github.com/octocat/hello-world
```
### `matrix`
Woodpecker has integrated support for matrix builds. Woodpecker executes a separate build task for each combination in the matrix, allowing you to build and test a single commit against multiple configurations.
For more details check the [matrix build docs](./30-matrix-builds.md).
### `clone`
Woodpecker automatically configures a default clone step if not explicitly defined. You can manually configure the clone step in your pipeline for customization:
```diff
+clone:
+ git:
+ image: woodpeckerci/plugin-git
pipeline:
build:
image: golang
commands:
- go build
- go test
```
Example configuration to override depth:
```diff
clone:
git:
image: woodpeckerci/plugin-git
+ settings:
+ partial: false
+ depth: 50
```
Example configuration to use a custom clone plugin:
```diff
clone:
git:
+ image: octocat/custom-git-plugin
```
Example configuration to clone Mercurial repository:
```diff
clone:
hg:
+ image: plugins/hg
+ settings:
+ path: bitbucket.org/foo/bar
```
#### Git Submodules
To use the credentials that cloned the repository to clone it's submodules, update `.gitmodules` to use `https` instead of `git`:
```diff
[submodule "my-module"]
path = my-module
-url = git@github.com:octocat/my-module.git
+url = https://github.com/octocat/my-module.git
```
To use the ssh git url in `.gitmodules` for users cloning with ssh, and also use the https url in Woodpecker, add `submodule_override`:
```diff
clone:
git:
image: woodpeckerci/plugin-git
settings:
recursive: true
+ submodule_override:
+ my-module: https://github.com/octocat/my-module.git
pipeline:
...
```
### Privileged mode
Woodpecker gives the ability to configure privileged mode in the Yaml. You can use this parameter to launch containers with escalated capabilities.
> Privileged mode is only available to trusted repositories and for security reasons should only be used in private environments. See [project settings](./71-project-settings.md#trusted) to enable trusted mode.
```diff
pipeline:
build:
image: docker
environment:
- DOCKER_HOST=tcp://docker:2375
commands:
- docker --tls=false ps
services:
docker:
image: docker:dind
command: [ "--storage-driver=vfs", "--tls=false" ]
+ privileged: true
```

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# Conditional Step Execution
Woodpecker supports defining conditions for pipeline step by a `when` block. If all conditions in the `when` block evaluate to true the step is executed, otherwise it is skipped.
## `repo`
Example conditional execution by repository:
```diff
pipeline:
slack:
image: plugins/slack
settings:
channel: dev
+ when:
+ repo: test/test
```
## `branch`
Example conditional execution by branch:
```diff
pipeline:
slack:
image: plugins/slack
settings:
channel: dev
+ when:
+ branch: master
```
> The step now triggers on master, but also if the target branch of a pull request is `master`. Add an event condition to limit it further to pushes on master only.
Execute a step if the branch is `master` or `develop`:
```diff
when:
branch: [master, develop]
```
Execute a step if the branch starts with `prefix/*`:
```diff
when:
branch: prefix/*
```
Execute a step using custom include and exclude logic:
```diff
when:
branch:
include: [ master, release/* ]
exclude: [ release/1.0.0, release/1.1.* ]
```
## `event`
Execute a step if the build event is a `tag`:
```diff
when:
event: tag
```
Execute a step if the build event is a `tag` created from the specified branch:
```diff
when:
event: tag
+ branch: master
```
Execute a step for all non-pull request events:
```diff
when:
event: [push, tag, deployment]
```
Execute a step for all build events:
```diff
when:
event: [push, pull_request, tag, deployment]
```
## `status`
There are use cases for executing pipeline steps on failure, such as sending notifications for failed pipelines. Use the status constraint to execute steps even when the pipeline fails:
```diff
pipeline:
slack:
image: plugins/slack
settings:
channel: dev
+ when:
+ status: [ success, failure ]
```
## `platform`
Execute a step for a specific platform:
```diff
when:
platform: linux/amd64
```
Execute a step for a specific platform using wildcards:
```diff
when:
platform: [ linux/*, windows/amd64 ]
```
## `environment`
Execute a step for deployment events matching the target deployment environment:
```diff
when:
environment: production
event: deployment
```
## `matrix`
Execute a step for a single matrix permutation:
```diff
when:
matrix:
GO_VERSION: 1.5
REDIS_VERSION: 2.8
```
## `instance`
Execute a step only on a certain Woodpecker instance matching the specified hostname:
```diff
when:
instance: stage.woodpecker.company.com
```
## `path`
:::info
This feature is currently only available for GitHub, GitLab and Gitea.
Pull requests aren't supported by gitea at the moment ([go-gitea/gitea#18228](https://github.com/go-gitea/gitea/pull/18228)).
Path conditions are ignored for tag events.
:::
Execute a step only on a pipeline with certain files being changed:
```diff
when:
path: "src/*"
```
You can use [glob patterns](https://github.com/bmatcuk/doublestar#patterns) to match the changed files and specify if the step should run if a file matching that pattern has been changed `include` or if some files have **not** been changed `exclude`.
```diff
when:
path:
include: [ '.woodpecker/*.yml', '*.ini' ]
exclude: [ '*.md', 'docs/**' ]
ignore_message: "[ALL]"
```
** Hint: ** Passing a defined ignore-message like `[ALL]` inside the commit message will ignore all path conditions.

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# Multi pipelines
:::info
This Feature is only available for GitHub, Gitea & GitLab repositories. Follow [this](https://github.com/woodpecker-ci/woodpecker/issues/131) issue to support further development.
:::
By default, Woodpecker looks for the pipeline definition in `.woodpecker.yml` in the project root.
The Multi-Pipeline feature allows the pipeline to be split into several files and placed in the `.woodpecker/` folder. Only `.yml` files will be used and files in any subfolders like `.woodpecker/sub-folder/test.yml` will be ignored. You can set some custom path like `.my-ci/pipelines/` instead of `.woodpecker/` in the [project settings](./71-project-settings.md).
## Rational
- faster lint/test feedback, the pipeline doesn't have to run fully to have a lint status pushed to the remote
- better organization of the pipeline along various concerns: testing, linting, feature apps
- utilizing more agents to speed up build
## Example multi-pipeline definition
:::warning
Please note that files are only shared between steps of the same pipeline (see [File changes are incremental](./20-pipeline-syntax.md#file-changes-are-incremental)). That means you cannot access artifacts e.g. from the `build` pipeline below in the `deploy` pipeline.
If you still need to pass artifacts between the pipelines you need use storage [plugins](./51-plugins/10-plugins.md) (e.g. one which stores files in an Amazon S3 bucket).
:::
```bash
.woodpecker/
├── .build.yml
├── .deploy.yml
├── .lint.yml
└── .test.yml
```
.woodpecker/.build.yml
```yaml
pipeline:
build:
image: debian:stable-slim
commands:
- echo building
- sleep 5
```
.woodpecker/.deploy.yml
```yaml
pipeline:
deploy:
image: debian:stable-slim
commands:
- echo deploying
depends_on:
- lint
- build
- test
```
.woodpecker/.test.yml
```yaml
pipeline:
test:
image: debian:stable-slim
commands:
- echo testing
- sleep 5
depends_on:
- build
```
.woodpecker/.lint.yml
```yaml
pipeline:
lint:
image: debian:stable-slim
commands:
- echo linting
- sleep 5
```
## Status lines
Each pipeline has its own status line on GitHub.
## Flow control
The pipelines run in parallel on separate agents and share nothing.
Dependencies between pipelines can be set with the `depends_on` element. A pipeline doesn't execute until its dependencies did not complete successfully.
The name for a `depends_on` entry is the filename without the path, leading dots and without the file extension `.yml`. If the project config for example uses `.woodpecker/` as path for ci files with a file named `.woodpecker/.lint.yml` the corresponding `depends_on` entry would be `lint`.
```diff
pipeline:
deploy:
image: debian:stable-slim
commands:
- echo deploying
+depends_on:
+ - lint
+ - build
+ - test
```
Pipelines that need to run even on failures should set the `runs_on` tag.
```diff
pipeline:
notify:
image: debian:stable-slim
commands:
- echo notifying
depends_on:
- deploy
+runs_on: [ success, failure ]
```
Some pipelines don't need the source code, set the `skip_clone` tag to skip cloning:
```diff
pipeline:
notify:
image: debian:stable-slim
commands:
- echo notifying
depends_on:
- deploy
runs_on: [ success, failure ]
+skip_clone: true
```

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# Matrix builds
Woodpecker has integrated support for matrix builds. Woodpecker executes a separate build task for each combination in the matrix, allowing you to build and test a single commit against multiple configurations.
Example matrix definition:
```yaml
matrix:
GO_VERSION:
- 1.4
- 1.3
REDIS_VERSION:
- 2.6
- 2.8
- 3.0
```
Example matrix definition containing only specific combinations:
```yaml
matrix:
include:
- GO_VERSION: 1.4
REDIS_VERSION: 2.8
- GO_VERSION: 1.5
REDIS_VERSION: 2.8
- GO_VERSION: 1.6
REDIS_VERSION: 3.0
```
## Interpolation
Matrix variables are interpolated in the yaml using the `${VARIABLE}` syntax, before the yaml is parsed. This is an example yaml file before interpolating matrix parameters:
```yaml
pipeline:
build:
image: golang:${GO_VERSION}
commands:
- go get
- go build
- go test
services:
database:
image: ${DATABASE}
matrix:
GO_VERSION:
- 1.4
- 1.3
DATABASE:
- mysql:5.5
- mysql:6.5
- mariadb:10.1
```
Example Yaml file after injecting the matrix parameters:
```diff
pipeline:
build:
- image: golang:${GO_VERSION}
+ image: golang:1.4
commands:
- go get
- go build
- go test
+ environment:
+ - GO_VERSION=1.4
+ - DATABASE=mysql:5.5
services:
database:
- image: ${DATABASE}
+ image: mysql:5.5
```
## Examples
Example matrix build based on Docker image tag:
```yaml
pipeline:
build:
image: golang:${TAG}
commands:
- go build
- go test
matrix:
TAG:
- 1.7
- 1.8
- latest
```
Example matrix build based on Docker image:
```yaml
pipeline:
build:
image: ${IMAGE}
commands:
- go build
- go test
matrix:
IMAGE:
- golang:1.7
- golang:1.8
- golang:latest
```

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# Secrets
Woodpecker provides the ability to store named parameters external to the Yaml configuration file, in a central secret store. These secrets can be passed to individual steps of the pipeline at runtime.
Secrets are exposed to your pipeline steps and plugins as uppercase environment variables and can therefore be referenced in the commands section of your pipeline.
```diff
pipeline:
docker:
image: docker
commands:
+ - echo $DOCKER_USERNAME
+ - echo $DOCKER_PASSWORD
+ secrets: [ docker_username, docker_password ]
```
Alternatively, you can get a `setting` from secrets using the `from_secret` syntax.
In this example, the secret named `secret_token` would be passed to the pipeline as `PLUGIN_TOKEN`.
**NOTE:** the `from_secret` syntax only works with the newer `settings` block.
```diff
pipeline:
docker:
image: my-plugin
settings:
+ token:
+ from_secret: secret_token
```
Please note parameter expressions are subject to pre-processing. When using secrets in parameter expressions they should be escaped.
```diff
pipeline:
docker:
image: docker
commands:
- - echo ${DOCKER_USERNAME}
- - echo ${DOCKER_PASSWORD}
+ - echo $${DOCKER_USERNAME}
+ - echo $${DOCKER_PASSWORD}
secrets: [ docker_username, docker_password ]
```
## Adding Secrets
Secrets are added to the Woodpecker secret store on the UI or with the CLI.
## Alternate Names
There may be scenarios where you are required to store secrets using alternate names. You can map the alternate secret name to the expected name using the below syntax:
```diff
pipeline:
docker:
image: plugins/docker
repo: octocat/hello-world
tags: latest
+ secrets:
+ - source: docker_prod_password
+ target: docker_password
```
## Pull Requests
Secrets are not exposed to pull requests by default. You can override this behavior by creating the secret and enabling the `pull_request` event type.
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
-image plugins/docker \
+ -event pull_request \
+ -event push \
+ -event tag \
-name docker_username \
-value <value>
```
Please be careful when exposing secrets to pull requests. If your repository is open source and accepts pull requests your secrets are not safe. A bad actor can submit a malicious pull request that exposes your secrets.
## Examples
Create the secret using default settings. The secret will be available to all images in your pipeline, and will be available to all push, tag, and deployment events (not pull request events).
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
-name aws_access_key_id \
-value <value>
```
Create the secret and limit to a single image:
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
+ -image plugins/s3 \
-name aws_access_key_id \
-value <value>
```
Create the secrets and limit to a set of images:
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
+ -image plugins/s3 \
+ -image peloton/woodpecker-ecs \
-name aws_access_key_id \
-value <value>
```
Create the secret and enable for multiple hook events:
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
-image plugins/s3 \
+ -event pull_request \
+ -event push \
+ -event tag \
-name aws_access_key_id \
-value <value>
```
Loading secrets from file using curl `@` syntax. This is the recommended approach for loading secrets from file to preserve newlines:
```diff
woodpecker-cli secret add \
-repository octocat/hello-world \
-name ssh_key \
+ -value @/root/ssh/id_rsa
```

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# Registries
Woodpecker provides the ability to add container registries in the settings of your repository. Adding a registry allows you to authenticate and pull private images from a container registry when using these images as a step inside your pipeline.

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# Environment variables
Woodpecker provides the ability to pass environment variables to individual pipeline steps. Example pipeline step with custom environment variables:
```diff
pipeline:
build:
image: golang
+ environment:
+ - CGO=0
+ - GOOS=linux
+ - GOARCH=amd64
commands:
- go build
- go test
```
Please note that the environment section is not able to expand environment variables. If you need to expand variables they should be exported in the commands section.
```diff
pipeline:
build:
image: golang
- environment:
- - PATH=$PATH:/go
commands:
+ - export PATH=$PATH:/go
- go build
- go test
```
> Please be warned that `${variable}` expressions are subject to pre-processing. If you do not want the pre-processor to evaluate your expression it must be escaped:
```diff
pipeline:
build:
image: golang
commands:
- - export PATH=${PATH}:/go
+ - export PATH=$${PATH}:/go
- go build
- go test
```
## Built-in environment variables
This is the reference list of all environment variables available to your pipeline containers. These are injected into your pipeline step and plugins containers, at runtime.
| NAME | Description |
|--------------------------------|----------------------------------------------------------------------------------------------|
| `CI=woodpecker` | environment is woodpecker |
| | **Repository** |
| `CI_REPO` | repository full name `<owner>/<name>` |
| `CI_REPO_OWNER` | repository owner |
| `CI_REPO_NAME` | repository name |
| `CI_REPO_SCM` | repository scm (git) |
| `CI_REPO_LINK` | repository link |
| `CI_REPO_REMOTE` | repository clone url |
| `CI_REPO_DEFAULT_BRANCH` | repository default branch (master) |
| `CI_REPO_PRIVATE` | repository is private |
| `CI_REPO_TRUSTED` | repository is trusted |
| | **Current Commit** |
| `CI_COMMIT_SHA` | commit sha |
| `CI_COMMIT_REF` | commit ref |
| `CI_COMMIT_REFSPEC` | commit ref spec |
| `CI_COMMIT_BRANCH` | commit branch (equals target branch for pull requests) |
| `CI_COMMIT_SOURCE_BRANCH` | commit source branch |
| `CI_COMMIT_TARGET_BRANCH` | commit target branch |
| `CI_COMMIT_TAG` | commit tag name (empty if event is not `tag`) |
| `CI_COMMIT_PULL_REQUEST` | commit pull request number (empty if event is not `pull_request`) |
| `CI_COMMIT_LINK` | commit link in remote |
| `CI_COMMIT_MESSAGE` | commit message |
| `CI_COMMIT_AUTHOR` | commit author username |
| `CI_COMMIT_AUTHOR_EMAIL` | commit author email address |
| `CI_COMMIT_AUTHOR_AVATAR` | commit author avatar |
| | **Current build** |
| `CI_BUILD_NUMBER` | build number |
| `CI_BUILD_PARENT` | build number of parent build |
| `CI_BUILD_EVENT` | build event (push, pull_request, tag, deployment) |
| `CI_BUILD_LINK` | build link in ci |
| `CI_BUILD_DEPLOY_TARGET` | build deploy target for `deployment` events (ie production) |
| `CI_BUILD_STATUS` | build status (success, failure) |
| `CI_BUILD_CREATED` | build created unix timestamp |
| `CI_BUILD_STARTED` | build started unix timestamp |
| `CI_BUILD_FINISHED` | build finished unix timestamp |
| | **Current job** |
| `CI_JOB_NUMBER` | job number |
| `CI_JOB_STATUS` | job status (success, failure) |
| `CI_JOB_STARTED` | job started unix timestamp |
| `CI_JOB_FINISHED` | job finished unix timestamp |
| | **Previous commit** |
| `CI_PREV_COMMIT_SHA` | previous commit sha |
| `CI_PREV_COMMIT_REF` | previous commit ref |
| `CI_PREV_COMMIT_REFSPEC` | previous commit ref spec |
| `CI_PREV_COMMIT_BRANCH` | previous commit branch |
| `CI_PREV_COMMIT_SOURCE_BRANCH` | previous commit source branch |
| `CI_PREV_COMMIT_TARGET_BRANCH` | previous commit target branch |
| `CI_PREV_COMMIT_LINK` | previous commit link in remote |
| `CI_PREV_COMMIT_MESSAGE` | previous commit message |
| `CI_PREV_COMMIT_AUTHOR` | previous commit author username |
| `CI_PREV_COMMIT_AUTHOR_EMAIL` | previous commit author email address |
| `CI_PREV_COMMIT_AUTHOR_AVATAR` | previous commit author avatar |
| | **Previous build** |
| `CI_PREV_BUILD_NUMBER` | previous build number |
| `CI_PREV_BUILD_PARENT` | previous build number of parent build |
| `CI_PREV_BUILD_EVENT` | previous build event (push, pull_request, tag, deployment) |
| `CI_PREV_BUILD_LINK` | previous build link in ci |
| `CI_PREV_BUILD_DEPLOY_TARGET` | previous build deploy target for `deployment` events (ie production) |
| `CI_PREV_BUILD_STATUS` | previous build status (success, failure) |
| `CI_PREV_BUILD_CREATED` | previous build created unix timestamp |
| `CI_PREV_BUILD_STARTED` | previous build started unix timestamp |
| `CI_PREV_BUILD_FINISHED` | previous build finished unix timestamp |
| | &emsp; |
| `CI_WORKSPACE` | Path of the workspace where source code gets cloned to |
| | **System** |
| `CI_SYSTEM_NAME` | name of the ci system: `woodpecker` |
| `CI_SYSTEM_LINK` | link to ci system |
| `CI_SYSTEM_HOST` | hostname of ci server |
| `CI_SYSTEM_VERSION` | version of the server |
| | **Internal** - Please don't use! |
| `CI_SCRIPT` | Internal script path. Used to call pipeline step commands. |
| `CI_NETRC_USERNAME` | Credentials for private repos to be able to clone data. (Only available for specific images) |
| `CI_NETRC_PASSWORD` | Credentials for private repos to be able to clone data. (Only available for specific images) |
| `CI_NETRC_MACHINE` | Credentials for private repos to be able to clone data. (Only available for specific images) |
## Global environment variables
If you want specific environment variables to be available in all of your builds use the `WOODPECKER_ENVIRONMENT` setting on the Woodpecker server.
```.diff
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_ENVIRONMENT=first_var:value1,second_var:value2
```
## String Substitution
Woodpecker provides the ability to substitute environment variables at runtime. This gives us the ability to use dynamic build or commit details in our pipeline configuration.
Example commit substitution:
```diff
pipeline:
docker:
image: plugins/docker
settings:
+ tags: ${CI_COMMIT_SHA}
```
Example tag substitution:
```diff
pipeline:
docker:
image: plugins/docker
settings:
+ tags: ${CI_COMMIT_TAG}
```
## String Operations
Woodpecker also emulates bash string operations. This gives us the ability to manipulate the strings prior to substitution. Example use cases might include substring and stripping prefix or suffix values.
| OPERATION | DESC |
| ------------------ | ------------------------------------------------ |
| `${param}` | parameter substitution |
| `${param,}` | parameter substitution with lowercase first char |
| `${param,,}` | parameter substitution with lowercase |
| `${param^}` | parameter substitution with uppercase first char |
| `${param^^}` | parameter substitution with uppercase |
| `${param:pos}` | parameter substitution with substring |
| `${param:pos:len}` | parameter substitution with substring and length |
| `${param=default}` | parameter substitution with default |
| `${param##prefix}` | parameter substitution with prefix removal |
| `${param%%suffix}` | parameter substitution with suffix removal |
| `${param/old/new}` | parameter substitution with find and replace |
Example variable substitution with substring:
```diff
pipeline:
docker:
image: plugins/docker
settings:
+ tags: ${CI_COMMIT_SHA:0:8}
```
Example variable substitution strips `v` prefix from `v.1.0.0`:
```diff
pipeline:
docker:
image: plugins/docker
settings:
+ tags: ${CI_COMMIT_TAG##v}
```

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# Plugins
Plugins are pipeline steps that perform pre-defined tasks and are configured as steps in your pipeline. Plugins can be used to deploy code, publish artifacts, send notification, and more.
They are automatically pulled from [plugins.drone.io](http://plugins.drone.io).
Example pipeline using the Docker and Slack plugins:
```yaml
pipeline:
build:
image: golang
commands:
- go build
- go test
publish:
image: plugins/docker
settings:
repo: foo/bar
tags: latest
notify:
image: plugins/slack
settings:
channel: dev
```
## Plugin Isolation
Plugins are just pipeline steps. They share the build workspace, mounted as a volume, and therefore have access to your source tree.
## Creating a plugin
See a [detailed plugin example](./20-sample-plugin.md).

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# Example plugin
This provides a brief tutorial for creating a Woodpecker webhook plugin, using simple shell scripting, to make an http requests during the build pipeline.
## What end users will see
The below example demonstrates how we might configure a webhook plugin in the Yaml file:
```yaml
pipeline:
webhook:
image: foo/webhook
settings:
url: http://example.com
method: post
body: |
hello world
```
## Write the logic
Create a simple shell script that invokes curl using the Yaml configuration parameters, which are passed to the script as environment variables in uppercase and prefixed with `PLUGIN_`.
```bash
#!/bin/sh
curl \
-X ${PLUGIN_METHOD} \
-d ${PLUGIN_BODY} \
${PLUGIN_URL}
```
## Package it
Create a Dockerfile that adds your shell script to the image, and configures the image to execute your shell script as the main entrypoint.
```dockerfile
FROM alpine
ADD script.sh /bin/
RUN chmod +x /bin/script.sh
RUN apk -Uuv add curl ca-certificates
ENTRYPOINT /bin/script.sh
```
Build and publish your plugin to the Docker registry. Once published your plugin can be shared with the broader Woodpecker community.
```nohighlight
docker build -t foo/webhook .
docker push foo/webhook
```
Execute your plugin locally from the command line to verify it is working:
```nohighlight
docker run --rm \
-e PLUGIN_METHOD=post \
-e PLUGIN_URL=http://example.com \
-e PLUGIN_BODY="hello world" \
foo/webhook
```

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label: 'Plugins'
# position: 2
collapsible: true
collapsed: true

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# Services
Woodpecker provides a services section in the Yaml file used for defining service containers. The below configuration composes database and cache containers.
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
services:
database:
image: mysql
cache:
image: redis
```
Services are accessed using custom hostnames. In the above example the mysql service is assigned the hostname `database` and is available at `database:3306`.
## Configuration
Service containers generally expose environment variables to customize service startup such as default usernames, passwords and ports. Please see the official image documentation to learn more.
```diff
services:
database:
image: mysql
+ environment:
+ - MYSQL_DATABASE=test
+ - MYSQL_ALLOW_EMPTY_PASSWORD=yes
cache:
image: redis
```
## Detachment
Service and long running containers can also be included in the pipeline section of the configuration using the detach parameter without blocking other steps. This should be used when explicit control over startup order is required.
```diff
pipeline:
build:
image: golang
commands:
- go build
- go test
database:
image: redis
+ detach: true
test:
image: golang
commands:
- go test
```
Containers from detached steps will terminate when the pipeline ends.
## Initialization
Service containers require time to initialize and begin to accept connections. If you are unable to connect to a service you may need to wait a few seconds or implement a backoff.
```diff
pipeline:
test:
image: golang
commands:
+ - sleep 15
- go get
- go test
services:
database:
image: mysql
```

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# Volumes
Woodpecker gives the ability to define Docker volumes in the Yaml. You can use this parameter to mount files or folders on the host machine into your containers.
> Volumes are only available to trusted repositories and for security reasons should only be used in private environments. See [project settings](./71-project-settings.md#trusted) to enable trusted mode.
```diff
pipeline:
build:
image: docker
commands:
- docker build --rm -t octocat/hello-world .
- docker run --rm octocat/hello-world --test
- docker push octocat/hello-world
- docker rmi octocat/hello-world
volumes:
+ - /var/run/docker.sock:/var/run/docker.sock
```
Please note that Woodpecker mounts volumes on the host machine. This means you must use absolute paths when you configure volumes. Attempting to use relative paths will result in an error.
```diff
- volumes: [ ./certs:/etc/ssl/certs ]
+ volumes: [ /etc/ssl/certs:/etc/ssl/certs ]
```

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# Project settings
As the owner of a project in Woodpecker you can change project related settings via the web interface.
![project settings](./project-settings.png)
## Pipeline path
The path to the pipeline config file or folder. By default it is left empty which will use the following configuration resolution `.woodpecker/*.yml` -> `.woodpecker.yml` -> `.drone.yml`. If you set a custom path Woodpecker tries to load your configuration or fails if no configuration could be found at the specified location. To use a [multi pipeline](./25-multi-pipeline.md) you have to change it to a folder path ending with a `/` like `.woodpecker/`.
## Repository hooks
Your Version-Control-System will notify Woodpecker about events via webhooks. If you want your pipeline to only run on specific webhooks, you can check them with this setting.
## Project settings
### Protected
Every build initiated by a user (not including the project owner) needs to be approved by the owner before being executed. This can be used if your repository is public to protect the pipeline configuration from running unauthorized changes on third-party pull requests.
### Trusted
If you set your project to trusted, a pipeline step and by this the underlying containers gets access to escalated capabilities like mounting volumes.
## Project visibility
You can change the visibility of your project by this setting. If a user has access to a project he can see all builds and their logs and artifacts. Settings, Secrets and Registries can only be accessed by owners.
- `Public` Every user can see your project without being logged in.
- `Private` Only authenticated users of the Woodpecker instance can see this project.
- `Internal` Only you and other owners of the repository can see this project.
## Timeout
After this timeout a pipeline has to finish or will be treated as timed out.

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# Status Badges
Woodpecker has integrated support for repository status badges. These badges can be added to your website or project readme file to display the status of your code.
## Badge endpoint
```text
<scheme>://<hostname>/api/badges/<owner>/<repo>/status.svg
```
The status badge displays the status for the latest build to your default branch (e.g. master). You can customize the branch by adding the `branch` query parameter.
```diff
-<scheme>://<hostname>/api/badges/<owner>/<repo>/status.svg
+<scheme>://<hostname>/api/badges/<owner>/<repo>/status.svg?branch=<branch>
```
Please note status badges do not include pull request results, since the status of a pull request does not provide an accurate representation of your repository state.

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label: 'Usage'
# position: 2
collapsible: true
collapsed: false

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# Setup
A Woodpecker deployment consists of two parts:
- A server which is the heart of Woodpecker and ships the webinterface.
- Next to one server you can deploy any number of agents which will run the pipelines.
> Each agent is able to process one pipeline step by default.
>
> If you have 4 agents installed and connected to the Woodpecker server, your system will process 4 builds in parallel.
>
> You can add more agents to increase the number of parallel builds or set the agent's `WOODPECKER_MAX_PROCS=1` environment variable to increase the number of parallel builds for that agent.
## Which version of Woodpecker should I use?
Woodpecker is having two different kinds of releases: **stable** and **next**.
To find out more about the differences between the two releases, please read the [FAQ](/faq).
## Installation
You can install Woodpecker on multiple ways:
- Using [docker-compose](#docker-compose) with the official [docker images](../80-downloads.md#docker-images)
- By deploying to a [Kubernetes](./80-kubernetes.md) with manifests or Woodpeckers official Helm charts
- Using [binaries](../80-downloads.md)
### docker-compose
The below [docker-compose](https://docs.docker.com/compose/) configuration can be used to start a Woodpecker server with a single agent.
It relies on a number of environment variables that you must set before running `docker-compose up`. The variables are described below.
```yaml
# docker-compose.yml
version: '3'
services:
woodpecker-server:
image: woodpeckerci/woodpecker-server:latest
ports:
- 8000:8000
volumes:
- woodpecker-server-data:/var/lib/woodpecker/
environment:
- WOODPECKER_OPEN=true
- WOODPECKER_HOST=${WOODPECKER_HOST}
- WOODPECKER_GITHUB=true
- WOODPECKER_GITHUB_CLIENT=${WOODPECKER_GITHUB_CLIENT}
- WOODPECKER_GITHUB_SECRET=${WOODPECKER_GITHUB_SECRET}
- WOODPECKER_AGENT_SECRET=${WOODPECKER_AGENT_SECRET}
woodpecker-agent:
image: woodpeckerci/woodpecker-agent:latest
command: agent
restart: always
depends_on:
- woodpecker-server
volumes:
- /var/run/docker.sock:/var/run/docker.sock
environment:
- WOODPECKER_SERVER=woodpecker-server:9000
- WOODPECKER_AGENT_SECRET=${WOODPECKER_AGENT_SECRET}
volumes:
woodpecker-server-data:
```
Woodpecker needs to know its own address. You must therefore provide the public address of it in `<scheme>://<hostname>` format. Please omit trailing slashes:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_HOST=${WOODPECKER_HOST}
```
As agents run pipeline steps as docker containers they require access to the host machine's Docker daemon:
```diff
# docker-compose.yml
version: '3'
services:
[...]
woodpecker-agent:
[...]
+ volumes:
+ - /var/run/docker.sock:/var/run/docker.sock
```
Agents require the server address for agent-to-server communication:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-agent:
[...]
environment:
+ - WOODPECKER_SERVER=woodpecker-server:9000
```
The server and agents use a shared secret to authenticate communication. This should be a random string of your choosing and should be kept private. You can generate such string with `openssl rand -hex 32`:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_AGENT_SECRET=${WOODPECKER_AGENT_SECRET}
woodpecker-agent:
[...]
environment:
- [...]
+ - WOODPECKER_AGENT_SECRET=${WOODPECKER_AGENT_SECRET}
```
## Authentication
Authentication is done using OAuth and is delegated to one of multiple version control providers, configured using environment variables. The example above demonstrates basic GitHub integration.
See the complete reference for all supported version control systems [here](./11-vcs/10-overview.md).
## Database
By default Woodpecker uses a sqlite database which requires zero installation or configuration. See the [database settings](./30-database.md) page to further configure it or use MySQL or Postgres.
## SSL
Woodpecker supports ssl configuration by using Let's encrypt or by using own certificates. See the [SSL guide](./60-ssl.md).
## Metrics
A [Prometheus endpoint](./90-prometheus.md) is exposed.
## Behind a proxy
See the [proxy guide](./70-proxy.md) if you want to see a setup behind Apache, Nginx, Caddy or ngrok.

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# Server configuration
## User registration
Registration is closed by default. While disabled an administrator needs to add new users manually (exp. `woodpecker-cli user add`).
If registration is open every user with an account at the configured [SCM](./11-vcs/10-overview.md) can login to Woodpecker.
This example enables open registration for users that are members of approved organizations:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_OPEN=true
+ - WOODPECKER_ORGS=dolores,dogpatch
```
## Administrators
Administrators should also be enumerated in your configuration.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_ADMIN=johnsmith,janedoe
```
## Filtering repositories
Woodpecker operates with the user's OAuth permission. Due to the coarse permission handling of GitHub, you may end up syncing more repos into Woodpecker than preferred.
Use the `WOODPECKER_REPO_OWNERS` variable to filter which GitHub user's repos should be synced only. You typically want to put here your company's GitHub name.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_REPO_OWNERS=mycompany,mycompanyossgithubuser
```
## Global registry setting
If you want to make available a specific private registry to all pipelines, use the `WOODPECKER_DOCKER_CONFIG` server configuration.
Point it to your server's docker config.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_DOCKER_CONFIG=/home/user/.docker/config.json
```
## All server configuration options
The following list describes all available server configuration options.
### `WOODPECKER_LOG_LEVEL`
> Default: empty
Configures the logging level. Possible values are `trace`, `debug`, `info`, `warn`, `error`, `fatal`, `panic`, `disabled` and empty.
### `WOODPECKER_DEBUG_PRETTY`
> Default: `false`
Enable pretty-printed debug output.
### `WOODPECKER_DEBUG_NOCOLOR`
> Default: `true`
Disable colored debug output.
### `WOODPECKER_HOST`
> Default: empty
Server fully qualified url of the user-facing hostname.
Example: `WOODPECKER_HOST=http://woodpecker.example.org`
### `WOODPECKER_SERVER_ADDR`
> Default: `:8000`
Configures the HTTP listener port.
### `WOODPECKER_SERVER_CERT`
> Default: empty
Path to an SSL certificate used by the server to accept HTTPS requests.
Example: `WOODPECKER_SERVER_CERT=/path/to/cert.pem`
### `WOODPECKER_SERVER_KEY`
> Default: empty
Path to an SSL certificate key used by the server to accept HTTPS requests.
Example: `WOODPECKER_SERVER_KEY=/path/to/key.pem`
### `WOODPECKER_LETS_ENCRYPT`
> Default: `false`
Automatically generates an SSL certificate using Let's Encrypt, and configures the server to accept HTTPS requests.
### `WOODPECKER_GRPC_ADDR`
> Default: `:9000`
Configures the gRPC listener port.
### `WOODPECKER_ADMIN`
> Default: empty
Comma-separated list of admin accounts.
Example: `WOODPECKER_ADMIN=user1,user2`
### `WOODPECKER_ORGS`
> Default: empty
Comma-separated list of approved organizations.
Example: `org1,org2`
### `WOODPECKER_REPO_OWNERS`
> Default: empty
Comma-separated list of syncable repo owners. ???
Example: `user1,user2`
### `WOODPECKER_OPEN`
> Default: `false`
Enable to allow user registration.
### `WOODPECKER_DOCS`
> Default: `https://woodpecker-ci.org/`
Link to documentation in the UI.
### `WOODPECKER_AUTHENTICATE_PUBLIC_REPOS`
> Default: `false`
Always use authentication to clone repositories even if they are public. Needed if the SCM requires to always authenticate as used by many companies.
### `WOODPECKER_DEFAULT_CLONE_IMAGE`
> Default is defined in [shared/constant/constant.go](https://github.com/woodpecker-ci/woodpecker/blob/release/v0.15/shared/constant/constant.go)
The default docker image to be used when cloning the repo
### `WOODPECKER_SESSION_EXPIRES`
> Default: `72h`
Configures the session expiration time.
Context: when someone does log into Woodpecker, a temporary session token is created.
As long as the session is valid (until it expires or log-out),
a user can log into Woodpecker, without re-authentication.
### `WOODPECKER_ESCALATE`
> Default: `plugins/docker,plugins/gcr,plugins/ecr,woodpeckerci/plugin-docker,woodpeckerci/plugin-docker-buildx`
Docker images to run in privileged mode. Only change if you are sure what you do!
<!--
### `WOODPECKER_VOLUME`
> Default: empty
Comma-separated list of Docker volumes that are mounted into every pipeline step.
Example: `WOODPECKER_VOLUME=/path/on/host:/path/in/container:rw`|
-->
### `WOODPECKER_DOCKER_CONFIG`
> Default: empty
Configures a specific private registry config for all pipelines.
Example: `WOODPECKER_DOCKER_CONFIG=/home/user/.docker/config.json`
<!--
### `WOODPECKER_ENVIRONMENT`
> Default: empty
TODO
### `WOODPECKER_NETWORK`
> Default: empty
Comma-separated list of Docker networks that are attached to every pipeline step.
Example: `WOODPECKER_NETWORK=network1,network2`
-->
### `WOODPECKER_AGENT_SECRET`
> Default: empty
A shared secret used by server and agents to authenticate communication. A secret can be generated by `openssl rand -hex 32`.
### `WOODPECKER_KEEPALIVE_MIN_TIME`
> Default: empty
Server-side enforcement policy on the minimum amount of time a client should wait before sending a keepalive ping.
Example: `WOODPECKER_KEEPALIVE_MIN_TIME=10s`
### `WOODPECKER_DATABASE_DRIVER`
> Default: `sqlite3`
The database driver name. Possible values are `sqlite3`, `mysql` or `postgres`.
### `WOODPECKER_DATABASE_DATASOURCE`
> Default: `woodpecker.sqlite`
The database connection string. The default value is the path of the embedded sqlite database file.
Example:
```bash
# MySQL
# https://github.com/go-sql-driver/mysql#dsn-data-source-name
WOODPECKER_DATABASE_DATASOURCE=root:password@tcp(1.2.3.4:3306)/woodpecker?parseTime=true
# PostgreSQL
# https://www.postgresql.org/docs/current/static/libpq-connect.html#LIBPQ-CONNSTRING
WOODPECKER_DATABASE_DATASOURCE=postgres://root:password@1.2.3.4:5432/woodpecker?sslmode=disable
```
### `WOODPECKER_PROMETHEUS_AUTH_TOKEN`
> Default: empty
Token to secure the Prometheus metrics endpoint.
### `WOODPECKER_STATUS_CONTEXT`
> Default: `ci/woodpecker`
Context prefix Woodpecker will use to publish status messages to SCM. You probably will only need to change it if you run multiple Woodpecker instances for a single repository.
---
### `WOODPECKER_LIMIT_MEM_SWAP`
> Default: `0`
The maximum amount of memory a single pipeline container is allowed to swap to disk, configured in bytes. There is no limit if `0`.
### `WOODPECKER_LIMIT_MEM`
> Default: `0`
The maximum amount of memory a single pipeline container can use, configured in bytes. There is no limit if `0`.
### `WOODPECKER_LIMIT_SHM_SIZE`
> Default: `0`
The maximum amount of memory of `/dev/shm` allowed in bytes. There is no limit if `0`.
### `WOODPECKER_LIMIT_CPU_QUOTA`
> Default: `0`
The number of microseconds per CPU period that the container is limited to before throttled. There is no limit if `0`.
### `WOODPECKER_LIMIT_CPU_SHARES`
> Default: `0`
The relative weight vs. other containers.
### `WOODPECKER_LIMIT_CPU_SET`
> Default: empty
Comma-separated list to limit the specific CPUs or cores a pipeline container can use.
Example: `WOODPECKER_LIMIT_CPU_SET=1,2`
---
### `WOODPECKER_GITHUB_...`
See [GitHub configuration](vcs/github/#configuration)
### `WOODPECKER_GOGS_...`
See [Gogs configuration](vcs/gogs/#configuration)
### `WOODPECKER_GITEA_...`
See [Gitea configuration](vcs/gitea/#configuration)
### `WOODPECKER_BITBUCKET_...`
See [Bitbucket configuration](vcs/bitbucket/#configuration)
### `WOODPECKER_STASH_...`
See [Bitbucket server configuration](vcs/bitbucket_server/#configuration)
### `WOODPECKER_GITLAB_...`
See [Gitlab configuration](vcs/gitlab/#configuration)
### `WOODPECKER_CODING_...`
See [Coding configuration](vcs/coding/#configuration)

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# Overview
## Supported features
| Feature | [GitHub](github/) | [Gitea](gitea/) | [Gitlab](gitlab/) | [Bitbucket](bitbucket/) | [Bitbucket Server](bitbucket_server/) | [Gogs](gogs/) | [Coding](coding/) |
| --- | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
| Event: Push | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Event: Tag | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Event: Pull-Request | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| Event: Deploy | :white_check_mark: | :x: | :x: |
| OAuth | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| [Multi pipeline](../../20-usage/25-multi-pipeline.md) | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: | :x: | :x: |
| [when.path filter](../../20-usage/22-conditional-execution.md#path) | :white_check_mark: | :white_check_mark:¹ | :white_check_mark: | :x: | :x: | :x: | :x: |
¹) [except for pull requests](https://github.com/woodpecker-ci/woodpecker/issues/754)

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# GitHub
Woodpecker comes with built-in support for GitHub and GitHub Enterprise. To enable GitHub you should configure the Woodpecker server using the following environment variables:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_GITHUB=true
+ - WOODPECKER_GITHUB_CLIENT=${WOODPECKER_GITHUB_CLIENT}
+ - WOODPECKER_GITHUB_SECRET=${WOODPECKER_GITHUB_SECRET}
woodpecker-agent:
[...]
```
## Registration
Register your application with GitHub to create your client id and secret. It is very import the authorization callback URL matches your http(s) scheme and hostname exactly with `<scheme>://<host>/authorize` as the path.
Please use this screenshot for reference:
![github oauth setup](github_oauth.png)
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_GITHUB`
> Default: `false`
Enables the GitHub driver.
### `WOODPECKER_GITHUB_URL`
> Default: `https://github.com`
Configures the GitHub server address.
### `WOODPECKER_GITHUB_CLIENT`
> Default: empty
Configures the GitHub OAuth client id. This is used to authorize access.
### `WOODPECKER_GITHUB_SECRET`
> Default: empty
Configures the GitHub OAuth client secret. This is used to authorize access.
### `WOODPECKER_GITHUB_MERGE_REF`
> Default: `true`
TODO
### `WOODPECKER_GITHUB_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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# Gitea
Woodpecker comes with built-in support for Gitea. To enable Gitea you should configure the Woodpecker container using the following environment variables:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_GITEA=true
+ - WOODPECKER_GITEA_URL=${WOODPECKER_GITEA_URL}
+ - WOODPECKER_GITEA_CLIENT=${WOODPECKER_GITEA_CLIENT}
+ - WOODPECKER_GITEA_SECRET=${WOODPECKER_GITEA_SECRET}
woodpecker-agent:
[...]
```
## Registration
Register your application with Gitea to create your client id and secret. You can find the OAuth applications settings of Gitea at `https://gitea.<host>/user/settings/`. It is very important the authorization callback URL matches your http(s) scheme and hostname exactly with `https://<host>/authorize` as the path.
If you run the Woodpecker CI server on the same host as the Gitea instance, you might also need to allow local connections in Gitea, since version `v1.16`. Otherwise webhooks will fail. Add the following lines to your Gitea configuration (usually at `/etc/gitea/conf/app.ini`).
```ini
...
[webhook]
ALLOWED_HOST_LIST=external,loopback
```
For reference see [Configuration Cheat Sheet](https://docs.gitea.io/en-us/config-cheat-sheet/#webhook-webhook).
![gitea oauth setup](gitea_oauth.gif)
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_GITEA`
> Default: `false`
Enables the Gitea driver.
### `WOODPECKER_GITEA_URL`
> Default: `https://try.gitea.io`
Configures the Gitea server address.
### `WOODPECKER_GITEA_CLIENT`
> Default: empty
Configures the Gitea OAuth client id. This is used to authorize access.
### `WOODPECKER_GITEA_SECRET`
> Default: empty
Configures the Gitea OAuth client secret. This is used to authorize access.
### `WOODPECKER_GITEA_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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# GitLab
Woodpecker comes with built-in support for the GitLab version 8.2 and higher. To enable GitLab you should configure the Woodpecker container using the following environment variables:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
+ - WOODPECKER_GITLAB=true
+ - WOODPECKER_GITLAB_URL=http://gitlab.mycompany.com
+ - WOODPECKER_GITLAB_CLIENT=95c0282573633eb25e82
+ - WOODPECKER_GITLAB_SECRET=30f5064039e6b359e075
woodpecker-agent:
[...]
```
## Registration
You must register your application with GitLab in order to generate a Client and Secret. Navigate to your account settings and choose Applications from the menu, and click New Application.
Please use `http://woodpecker.mycompany.com/authorize` as the Authorization callback URL. Grant `api` scope to the application.
If you run the Woodpecker CI server on the same host as the GitLab instance, you might also need to allow local connections in GitLab, otherwise API requests will fail. In GitLab, navigate to the Admin dashboard, then go to `Settings > Network > Outbound requests` and enable `Allow requests to the local network from web hooks and services`.
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_GITLAB`
> Default: `false`
Enables the GitLab driver.
### `WOODPECKER_GITLAB_URL`
> Default: `https://gitlab.com`
Configures the GitLab server address.
### `WOODPECKER_GITLAB_CLIENT`
> Default: empty
Configures the GitLab OAuth client id. This is used to authorize access.
### `WOODPECKER_GITLAB_SECRET`
> Default: empty
Configures the GitLab OAuth client secret. This is used to authorize access.
### `WOODPECKER_GITLAB_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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# Bitbucket
Woodpecker comes with built-in support for Bitbucket Cloud. To enable Bitbucket Cloud you should configure the Woodpecker container using the following environment variables:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_BITBUCKET=true
+ - WOODPECKER_BITBUCKET_CLIENT=95c0282573633eb25e82
+ - WOODPECKER_BITBUCKET_SECRET=30f5064039e6b359e075
woodpecker-agent:
[...]
```
## Registration
You must register your application with Bitbucket in order to generate a client and secret. Navigate to your account settings and choose OAuth from the menu, and click Add Consumer.
Please use the Authorization callback URL:
```nohighlight
http://woodpecker.mycompany.com/authorize
```
Please also be sure to check the following permissions:
```nohighlight
Account:Email
Account:Read
Team Membership:Read
Repositories:Read
Webhooks:Read and Write
```
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_BITBUCKET`
> Default: `false`
Enables the Bitbucket driver.
### `WOODPECKER_BITBUCKET_CLIENT`
> Default: empty
Configures the Bitbucket OAuth client id. This is used to authorize access.
### `WOODPECKER_BITBUCKET_SECRET`
> Default: empty
Configures the Bitbucket OAuth client secret. This is used to authorize access.
## Missing Features
Merge requests are not currently supported. We are interested in patches to include this functionality.
If you are interested in contributing to Woodpecker and submitting a patch please **contact us** via [Discord](https://discord.gg/fcMQqSMXJy) or [Matrix](https://matrix.to/#/#WoodpeckerCI-Develop:obermui.de).

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# Bitbucket Server
Woodpecker comes with experimental support for Bitbucket Server, formerly known as Atlassian Stash. To enable Bitbucket Server you should configure the Woodpecker container using the following environment variables:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
+ - WOODPECKER_STASH=true
+ - WOODPECKER_STASH_GIT_USERNAME=foo
+ - WOODPECKER_STASH_GIT_PASSWORD=bar
+ - WOODPECKER_STASH_CONSUMER_KEY=95c0282573633eb25e82
+ - WOODPECKER_STASH_CONSUMER_RSA=/etc/bitbucket/key.pem
+ - WOODPECKER_STASH_URL=http://stash.mycompany.com
volumes:
+ - /path/to/key.pem:/path/to/key.pem
woodpecker-agent:
[...]
```
## Private Key File
The OAuth process in Bitbucket server requires a private and a public RSA certificate. This is how you create the private RSA certificate.
```nohighlight
openssl genrsa -out /etc/bitbucket/key.pem 1024
```
This stores the private RSA certificate in `key.pem`. The next command generates the public RSA certificate and stores it in `key.pub`.
```nohighlight
openssl rsa -in /etc/bitbucket/key.pem -pubout >> /etc/bitbucket/key.pub
```
Please note that the private key file can be mounted into your Woodpecker container at runtime or as an environment variable
Private key file mounted into your Woodpecker container at runtime as a volume.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
- WOODPECKER_STASH=true
- WOODPECKER_STASH_GIT_USERNAME=foo
- WOODPECKER_STASH_GIT_PASSWORD=bar
- WOODPECKER_STASH_CONSUMER_KEY=95c0282573633eb25e82
+ - WOODPECKER_STASH_CONSUMER_RSA=/etc/bitbucket/key.pem
- WOODPECKER_STASH_URL=http://stash.mycompany.com
+ volumes:
+ - /etc/bitbucket/key.pem:/etc/bitbucket/key.pem
woodpecker-agent:
[...]
```
Private key as environment variable
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
- [...]
- WOODPECKER_STASH=true
- WOODPECKER_STASH_GIT_USERNAME=foo
- WOODPECKER_STASH_GIT_PASSWORD=bar
- WOODPECKER_STASH_CONSUMER_KEY=95c0282573633eb25e82
+ - WOODPECKER_STASH_CONSUMER_RSA_STRING=contentOfPemKeyAsString
- WOODPECKER_STASH_URL=http://stash.mycompany.com
woodpecker-agent:
[...]
```
## Service Account
Woodpecker uses `git+https` to clone repositories, however, Bitbucket Server does not currently support cloning repositories with oauth token. To work around this limitation, you must create a service account and provide the username and password to Woodpecker. This service account will be used to authenticate and clone private repositories.
## Registration
You must register your application with Bitbucket Server in order to generate a consumer key. Navigate to your account settings and choose Applications from the menu, and click Register new application. Now copy & paste the text value from `/etc/bitbucket/key.pub` into the `Public Key` in the incoming link part of the application registration.
Please use http://woodpecker.mycompany.com/authorize as the Authorization callback URL.
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_STASH`
> Default: `false`
Enables the Bitbucket Server driver.
### `WOODPECKER_STASH_URL`
> Default: empty
Configures the Bitbucket Server address.
### `WOODPECKER_STASH_CONSUMER_KEY`
> Default: empty
Configures your Bitbucket Server consumer key.
### `WOODPECKER_STASH_CONSUMER_RSA`
> Default: empty
Configures the path to your Bitbucket Server private key file.
### `WOODPECKER_STASH_CONSUMER_RSA_STRING`
> Default: empty
Configures your Bitbucket Server private key.
### `WOODPECKER_STASH_GIT_USERNAME`
> Default: empty
This username is used to authenticate and clone all private repositories.
### `WOODPECKER_STASH_GIT_PASSWORD`
> Default: empty
The password is used to authenticate and clone all private repositories.
### `WOODPECKER_STASH_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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# Gogs
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_GOGS`
> Default: `false`
Enables the Gogs driver.
### `WOODPECKER_GOGS_URL`
> Default: `https://github.com`
Configures the Gogs server address.
### `WOODPECKER_GOGS_GIT_USERNAME`
> Default: empty
This username is used to authenticate and clone all private repositories.
### `WOODPECKER_GOGS_GIT_PASSWORD`
> Default: empty
The password is used to authenticate and clone all private repositories.
### `WOODPECKER_GOGS_PRIVATE_MODE`
> Default: `false`
TODO
### `WOODPECKER_GOGS_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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# Coding
## Configuration
This is a full list of configuration options. Please note that many of these options use default configuration values that should work for the majority of installations.
### `WOODPECKER_CODING`
> Default: `false`
Enables the Coding driver.
### `WOODPECKER_CODING_URL`
> Default: `https://coding.net`
Configures the Coding server address.
### `WOODPECKER_CODING_CLIENT`
> Default: empty
Configures the Coding OAuth client id. This is used to authorize access.
### `WOODPECKER_CODING_SECRET`
> Default: empty
Configures the Coding OAuth client secret. This is used to authorize access.
### `WOODPECKER_CODING_SCOPE`
> Default: `user, project, project:depot`
Comma-separated list of OAuth scopes.
### `WOODPECKER_CODING_GIT_MACHINE`
> Default: `git.coding.net`
TODO
### `WOODPECKER_CODING_GIT_USERNAME`
> Default: empty
This username is used to authenticate and clone all private repositories.
### `WOODPECKER_CODING_GIT_PASSWORD`
> Default: empty
The password is used to authenticate and clone all private repositories.
### `WOODPECKER_CODING_SKIP_VERIFY`
> Default: `false`
Configure if SSL verification should be skipped.

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label: 'Version control systems'
collapsible: true
collapsed: true

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# Agent configuration
Agents are configured by the command line or environment variables. At the minimum you need the following information:
```yaml
# docker-compose.yml
version: '3'
services:
woodpecker-agent:
[...]
environment:
+ - WOODPECKER_SERVER=localhost:9000
+ - WOODPECKER_AGENT_SECRET="your-shared-secret-goes-here"
```
The following are automatically set and can be overridden:
- WOODPECKER_HOSTNAME if not set, becomes the OS' hostname
- WOODPECKER_MAX_PROCS if not set, defaults to 1
## Processes per agent
By default the maximum processes that are run per agent is 1. If required you can add `WOODPECKER_MAX_PROCS` to increase your parallel processing on a per-agent basis.
```yaml
# docker-compose.yml
version: '3'
services:
woodpecker-agent:
[...]
environment:
- WOODPECKER_SERVER=localhost:9000
- WOODPECKER_AGENT_SECRET="your-shared-secret-goes-here"
+ - WOODPECKER_MAX_PROCS=4
```
## Filtering agents
When building your pipelines as long as you have set the platform or filter, builds can be made to only run code on certain agents.
```
- WOODPECKER_HOSTNAME=mycompany-ci-01.example.com
- WOODPECKER_FILTER=
```
### Filter on Platform
Only want certain pipelines or steps to run on certain agents with specific platforms? Such as arm vs amd64?
```yaml
# .woodpecker.yml
pipeline:
build:
image: golang
commands:
- go build
- go test
when:
platform: linux/amd64
testing:
image: golang
commands:
- go build
- go test
when:
platform: linux/arm*
```
See [Conditionals Pipeline](../20-usage/22-conditional-execution.md) syntax for more
## All agent configuration options
Here is the full list of configuration options and their default variables.
#### `DOCKER_HOST`
> Default: empty
Point to an alternate socket file or host. For example, "unix:////run/podman/podman.sock"
### `WOODPECKER_SERVER`
> Default: `localhost:9000`
Configures gRPC address of the server.
### `WOODPECKER_USERNAME`
> Default: `x-oauth-basic`
The gRPC username.
### `WOODPECKER_AGENT_SECRET`
> Default: empty
A shared secret used by server and agents to authenticate communication. A secret can be generated by `openssl rand -hex 32`.
### `WOODPECKER_LOG_LEVEL`
> Default: empty
Configures the logging level. Possible values are `trace`, `debug`, `info`, `warn`, `error`, `fatal`, `panic`, `disabled` and empty.
### `WOODPECKER_DEBUG_PRETTY`
> Default: `false`
Enable pretty-printed debug output.
### `WOODPECKER_DEBUG_NOCOLOR`
> Default: `true`
Disable colored debug output.
### `WOODPECKER_HOSTNAME`
> Default: empty
Configures the agent hostname.
### `WOODPECKER_MAX_PROCS`
> Default: `1`
Configures the number of parallel builds.
### `WOODPECKER_HEALTHCHECK`
> Default: `true`
Enable healthcheck endpoint.
### `WOODPECKER_KEEPALIVE_TIME`
> Default: empty
After a duration of this time of no activity, the agent pings the server to check if the transport is still alive.
### `WOODPECKER_KEEPALIVE_TIMEOUT`
> Default: `20s`
After pinging for a keepalive check, the agent waits for a duration of this time before closing the connection if no activity.
### `WOODPECKER_GRPC_SECURE`
> Default: `false`
Configures if the connection to `WOODPECKER_SERVER` should be made using a secure transport.
### `WOODPECKER_GRPC_VERIFY`
> Default: `true`
Configures if the gRPC server certificate should be verified, only valid when `WOODPECKER_GRPC_SECURE` is `true`.
### `WOODPECKER_BACKEND`
> Default: `auto-detect`
Configures the backend engine to run pipelines on. Possible values are `auto-detect` or `docker`.

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# Databases
The default database engine of Woodpecker is an embedded SQLite database which requires zero installation or configuration. But you can replace it with a MySQL or Postgres database.
## Configure sqlite
By default Woodpecker uses a sqlite database stored under `/var/lib/woodpecker/`. You can mount a [data volume](https://docs.docker.com/storage/volumes/#create-and-manage-volumes) to persist the sqlite database.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
+ volumes:
+ - woodpecker-server-data:/var/lib/woodpecker/
```
## Configure MySQL
The below example demonstrates mysql database configuration. See the official driver [documentation](https://github.com/go-sql-driver/mysql#dsn-data-source-name) for configuration options and examples.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
+ WOODPECKER_DATABASE_DRIVER: mysql
+ WOODPECKER_DATABASE_DATASOURCE: root:password@tcp(1.2.3.4:3306)/woodpecker?parseTime=true
```
## Configure Postgres
The below example demonstrates postgres database configuration. See the official driver [documentation](https://www.postgresql.org/docs/current/static/libpq-connect.html#LIBPQ-CONNSTRING) for configuration options and examples.
Please use postgres versions equal or higher than **11**.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
environment:
+ WOODPECKER_DATABASE_DRIVER: postgres
+ WOODPECKER_DATABASE_DATASOURCE: postgres://root:password@1.2.3.4:5432/postgres?sslmode=disable
```
## Database Creation
Woodpecker does not create your database automatically. If you are using the mysql or postgres driver you will need to manually create your database using `CREATE DATABASE`
## Database Migration
Woodpecker automatically handles database migration, including the initial creation of tables and indexes. New versions of Woodpecker will automatically upgrade the database unless otherwise specified in the release notes.
## Database Backups
Woodpecker does not perform database backups. This should be handled by separate third party tools provided by your database vendor of choice.
## Database Archiving
Woodpecker does not perform data archival; it considered out-of-scope for the project. Woodpecker is rather conservative with the amount of data it stores, however, you should expect the database logs to grow the size of your database considerably.

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# SSL
Woodpecker supports two ways of enabling SSL communication. You can either use Let's Encrypt to get automated SSL support with
renewal or provide your own SSL certificates.
## Let's Encrypt
Woodpecker supports automated SSL configuration and updates using Let's Encrypt.
You can enable Let's Encrypt by making the following modifications to your server configuration:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
ports:
+ - 80:80
+ - 443:443
- 9000:9000
environment:
- [...]
+ - WOODPECKER_LETS_ENCRYPT=true
```
Note that Woodpecker uses the hostname from the `WOODPECKER_HOST` environment variable when requesting certificates. For example, if `WOODPECKER_HOST=https://example.com` the certificate is requested for `example.com`.
>Once enabled you can visit your website at both the http and the https address
### Certificate Cache
Woodpecker writes the certificates to the below directory:
```
/var/lib/woodpecker/golang-autocert
```
### Certificate Updates
Woodpecker uses the official Go acme library which will handle certificate upgrades. There should be no addition configuration or management required.
## SSL with own certificates
Woodpecker supports ssl configuration by mounting certificates into your container.
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
ports:
+ - 80:80
+ - 443:443
- 9000:9000
volumes:
+ - /etc/certs/woodpecker.example.com/server.crt:/etc/certs/woodpecker.example.com/server.crt
+ - /etc/certs/woodpecker.example.com/server.key:/etc/certs/woodpecker.example.com/server.key
environment:
- [...]
+ - WOODPECKER_SERVER_CERT=/etc/certs/woodpecker.example.com/server.crt
+ - WOODPECKER_SERVER_KEY=/etc/certs/woodpecker.example.com/server.key
```
Update your configuration to expose the following ports:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
ports:
+ - 80:80
+ - 443:443
- 9000:9000
```
Update your configuration to mount your certificate and key:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
ports:
- 80:80
- 443:443
- 9000:9000
volumes:
+ - /etc/certs/woodpecker.example.com/server.crt:/etc/certs/woodpecker.example.com/server.crt
+ - /etc/certs/woodpecker.example.com/server.key:/etc/certs/woodpecker.example.com/server.key
```
Update your configuration to provide the paths of your certificate and key:
```diff
# docker-compose.yml
version: '3'
services:
woodpecker-server:
[...]
ports:
- 80:80
- 443:443
- 9000:9000
volumes:
- /etc/certs/woodpecker.example.com/server.crt:/etc/certs/woodpecker.example.com/server.crt
- /etc/certs/woodpecker.example.com/server.key:/etc/certs/woodpecker.example.com/server.key
environment:
+ - WOODPECKER_SERVER_CERT=/etc/certs/woodpecker.example.com/server.crt
+ - WOODPECKER_SERVER_KEY=/etc/certs/woodpecker.example.com/server.key
```
### Certificate Chain
The most common problem encountered is providing a certificate file without the intermediate chain.
> LoadX509KeyPair reads and parses a public/private key pair from a pair of files. The files must contain PEM encoded data. The certificate file may contain intermediate certificates following the leaf certificate to form a certificate chain.
### Certificate Errors
SSL support is provided using the [ListenAndServeTLS](https://golang.org/pkg/net/http/#ListenAndServeTLS) function from the Go standard library. If you receive certificate errors or warnings please examine your configuration more closely.

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# Proxy
## Apache
This guide provides a brief overview for installing Woodpecker server behind the Apache2 webserver. This is an example configuration:
```nohighlight
ProxyPreserveHost On
RequestHeader set X-Forwarded-Proto "https"
ProxyPass / http://127.0.0.1:8000/
ProxyPassReverse / http://127.0.0.1:8000/
```
You must have the below Apache modules installed.
```nohighlight
a2enmod proxy
a2enmod proxy_http
```
You must configure Apache to set `X-Forwarded-Proto` when using https.
```diff
ProxyPreserveHost On
+RequestHeader set X-Forwarded-Proto "https"
ProxyPass / http://127.0.0.1:8000/
ProxyPassReverse / http://127.0.0.1:8000/
```
## Nginx
This guide provides a basic overview for installing Woodpecker server behind the nginx webserver. For more advanced configuration options please consult the official nginx [documentation](https://www.nginx.com/resources/admin-guide/).
Example configuration:
```nginx
server {
listen 80;
server_name woodpecker.example.com;
location / {
proxy_set_header X-Forwarded-For $remote_addr;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $http_host;
proxy_pass http://127.0.0.1:8000;
proxy_redirect off;
proxy_http_version 1.1;
proxy_buffering off;
chunked_transfer_encoding off;
}
}
```
You must configure the proxy to set `X-Forwarded` proxy headers:
```diff
server {
listen 80;
server_name woodpecker.example.com;
location / {
+ proxy_set_header X-Forwarded-For $remote_addr;
+ proxy_set_header X-Forwarded-Proto $scheme;
proxy_pass http://127.0.0.1:8000;
proxy_redirect off;
proxy_http_version 1.1;
proxy_buffering off;
chunked_transfer_encoding off;
}
}
```
## Caddy
This guide provides a brief overview for installing Woodpecker server behind the [Caddy webserver](https://caddyserver.com/). This is an example caddyfile proxy configuration:
```nohighlight
woodpecker.example.com {
reverse_proxy woodpecker-server:8000
}
```
## Ngrok
After installing [ngrok](https://ngrok.com/), open a new console and run:
```
ngrok http 8000
```
Set `WOODPECKER_HOST` (for example in `docker-compose.yml`) to the ngrok url (usually xxx.ngrok.io) and start the server.

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# Kubernetes
Woodpecker does not support Kubernetes natively, but being a container first CI engine, it can be deployed to Kubernetes.
## Deploy with HELM
### Preparation
```shell
# create secrets
kubectl create secret generic woodpecker-secret \
--namespace <namespace> \
--from-literal=WOODPECKER_AGENT_SECRET=$(openssl rand -hex 32)
kubectl create secret generic woodpecker-github-client \
--namespace <namespace> \
--from-literal=WOODPECKER_GITHUB_CLIENT=xxxxxxxx
kubectl create secret generic woodpecker-github-secret \
--namespace <namespace> \
--from-literal=WOODPECKER_GITHUB_SECRET=xxxxxxxx
# add helm repo
helm repo add woodpecker https://woodpecker-ci.org/
```
### Woodpecker server
```shell
# Install
helm upgrade --install woodpecker-server --namespace <namespace> woodpecker/woodpecker-server
# Uninstall
helm delete woodpecker-server
```
### Woodpecker agent
```shell
# Install
helm upgrade --install woodpecker-agent --namespace <namespace> woodpecker/woodpecker-agent
# Uninstall
helm delete woodpecker-agent
```
## Deploy with kubectl
The following yamls represent a server (backed by sqlite and Persistent Volumes) and an agent deployment. The agents can be scaled by the `replica` field.
By design, Woodpecker spins up a new container for each workflow step. It talks to the Docker agent to do that.
However in Kubernetes, the Docker agent is not accessible, therefore this deployment follows a Docker in Docker setup and we deploy a DinD sidecar with the agent.
Build step containers are started up within the agent pod.
Warning: this approach requires `privileged` access. Also DinD's reputation hasn't been too high in the early days of Docker - this changed somewhat over time, and there are organizations succeeding with this approach.
server.yaml
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: woodpecker
namespace: tools
labels:
app: woodpecker
spec:
replicas: 1
selector:
matchLabels:
app: woodpecker
template:
metadata:
labels:
app: woodpecker
annotations:
prometheus.io/scrape: 'true'
spec:
containers:
- image: woodpeckerci/woodpecker-server:latest
imagePullPolicy: Always
name: woodpecker
env:
- name: "WOODPECKER_ADMIN"
value: "xxx"
- name: "WOODPECKER_HOST"
value: "https://xxx"
- name: "WOODPECKER_GITHUB"
value: "true"
- name: "WOODPECKER_GITHUB_CLIENT"
value: "xxx"
- name: "WOODPECKER_GITHUB_SECRET"
value: "xxx"
- name: "WOODPECKER_AGENT_SECRET"
value: "xxx"
volumeMounts:
- name: sqlite-volume
mountPath: /var/lib/woodpecker
volumes:
- name: sqlite-volume
persistentVolumeClaim:
claimName: woodpecker-pvc
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: woodpecker-pvc
namespace: tools
spec:
accessModes:
- ReadWriteOnce
storageClassName: local-path
resources:
requests:
storage: 10Gi
---
kind: Service
apiVersion: v1
metadata:
name: woodpecker
namespace: tools
spec:
type: ClusterIP
selector:
app: woodpecker
ports:
- protocol: TCP
name: http
port: 80
targetPort: 8000
- protocol: TCP
name: grpc
port: 9000
targetPort: 9000
---
kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: woodpecker
namespace: tools
spec:
tls:
- hosts:
- xxx
secretName: xxx
rules:
- host: xxx
http:
paths:
- backend:
serviceName: woodpecker
servicePort: 80
```
agent.yaml
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: woodpecker-agent
namespace: tools
labels:
app: woodpecker-agent
spec:
selector:
matchLabels:
app: woodpecker-agent
replicas: 2
template:
metadata:
annotations:
labels:
app: woodpecker-agent
spec:
containers:
- name: agent
image: woodpeckerci/woodpecker-agent:latest
imagePullPolicy: Always
ports:
- name: http
containerPort: 3000
protocol: TCP
env:
- name: WOODPECKER_SERVER
value: woodpecker.tools.svc.cluster.local:9000
- name: WOODPECKER_AGENT_SECRET
value: "xxx"
resources:
limits:
cpu: 2
memory: 2Gi
volumeMounts:
- name: sock-dir
path: /var/run
- name: dind
image: "docker:19.03.5-dind"
env:
- name: DOCKER_DRIVER
value: overlay2
resources:
limits:
cpu: 1
memory: 2Gi
securityContext:
privileged: true
volumeMounts:
- name: sock-dir
mountPath: /var/run
volumes:
- name: sock-dir
emptyDir: {}
```

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# Prometheus
Woodpecker is compatible with Prometheus and exposes a `/metrics` endpoint. Please note that access to the metrics endpoint is restricted and requires an authorization token with administrative privileges.
```yaml
global:
scrape_interval: 60s
scrape_configs:
- job_name: 'woodpecker'
bearer_token: dummyToken...
static_configs:
- targets: ['woodpecker.domain.com']
```
## Authorization
An administrator will need to generate a user api token and configure in the prometheus configuration file as a bearer token. Please see the following example:
```diff
global:
scrape_interval: 60s
scrape_configs:
- job_name: 'woodpecker'
+ bearer_token: dummyToken...
static_configs:
- targets: ['woodpecker.domain.com']
```
## Metric Reference
List of prometheus metrics specific to Woodpecker:
```
# HELP woodpecker_build_count Build count.
# TYPE woodpecker_build_count counter
woodpecker_build_count{branch="master",pipeline="total",repo="woodpecker-ci/woodpecker",status="success"} 3
woodpecker_build_count{branch="mkdocs",pipeline="total",repo="woodpecker-ci/woodpecker",status="success"} 3
# HELP woodpecker_build_time Build time.
# TYPE woodpecker_build_time gauge
woodpecker_build_time{branch="master",pipeline="total",repo="woodpecker-ci/woodpecker",status="success"} 116
woodpecker_build_time{branch="mkdocs",pipeline="total",repo="woodpecker-ci/woodpecker",status="success"} 155
# HELP woodpecker_build_total_count Total number of builds.
# TYPE woodpecker_build_total_count gauge
woodpecker_build_total_count 1025
# HELP woodpecker_pending_jobs Total number of pending build processes.
# TYPE woodpecker_pending_jobs gauge
woodpecker_pending_jobs 0
# HELP woodpecker_repo_count Total number of repos.
# TYPE woodpecker_repo_count gauge
woodpecker_repo_count 9
# HELP woodpecker_running_jobs Total number of running build processes.
# TYPE woodpecker_running_jobs gauge
woodpecker_running_jobs 0
# HELP woodpecker_user_count Total number of users.
# TYPE woodpecker_user_count gauge
woodpecker_user_count 1
# HELP woodpecker_waiting_jobs Total number of builds waiting on deps.
# TYPE woodpecker_waiting_jobs gauge
woodpecker_waiting_jobs 0
# HELP woodpecker_worker_count Total number of workers.
# TYPE woodpecker_worker_count gauge
woodpecker_worker_count 4
```

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label: 'Administration'
# position: 3
collapsible: true
collapsed: true

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# CLI
```docker run --rm woodpeckerci/woodpecker-cli:v0.15```
```bash
NAME:
woodpecker-cli - command line utility
USAGE:
woodpecker-cli [global options] command [command options] [arguments...]
VERSION:
v0.15.x
COMMANDS:
build manage pipelines
log manage logs
deploy deploy code
exec execute a pipeline locally
info show information about the current user
registry manage registries
secret manage secrets
repo manage repositories
user manage users
lint lint a pipeline configuration file
log-level get the logging level of the server, or set it with [level]
help, h Shows a list of commands or help for one command
GLOBAL OPTIONS:
--token value, -t value server auth token [$WOODPECKER_TOKEN]
--server value, -s value server address [$WOODPECKER_SERVER]
--log-level value set logging level [$WOODPECKER_LOG_LEVEL]
--help, -h show help (default: false)
--version, -v print the version (default: false)
```

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# Downloads
## Which version of Woodpecker should I use?
Woodpecker is having two different kinds of releases: **stable** and **next**.
To find out more about the differences between the two releases, please read the [FAQ](/faq).
## Binaries & DEB, RPM
[Latest release](https://github.com/woodpecker-ci/woodpecker/releases/latest)
## Docker images
Image variants:
* The `latest` image is the latest stable release
* The `vX.X.X` images are stable releases
* The `vX.X` images are based on the latest patch version of a specific minor release (see [Semver](https://semver.org/lang/))
* The `next` images are based on the current master branch and should not be used for production environments
``` bash
# server
docker pull woodpeckerci/woodpecker-server:latest
docker pull woodpeckerci/woodpecker-server:latest-alpine
# agent
docker pull woodpeckerci/woodpecker-agent:latest
docker pull woodpeckerci/woodpecker-agent:latest-alpine
# cli
docker pull woodpeckerci/woodpecker-cli:latest
docker pull woodpeckerci/woodpecker-cli:latest-alpine
```

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# Migrations
Some versions need some changes to the server configuration or the pipeline configuration files.
## 0.15.0
- Default value for custom pipeline path is now empty / un-set which results in following resolution:
`.woodpecker/*.yml` -> `.woodpecker.yml` -> `.drone.yml`
Only projects created after updating will have an empty value by default. Existing projects will stick to the current pipeline path which is `.drone.yml` in most cases.
Read more about it at the [Project Settings](./20-usage/71-project-settings.md#pipeline-path)
- From version `0.15.0` ongoing there will be three types of docker images: `latest`, `next` and `x.x.x` with an alpine variant for each type like `latest-alpine`.
If you used `latest` before to try pre-release features you should switch to `next` after this release.
- Dropped support for `DRONE_*` environment variables. The according `WOODPECKER_*` variables must be used instead.
Additionally some alternative namings have been removed to simplify maintenance:
- `WOODPECKER_AGENT_SECRET` replaces `WOODPECKER_SECRET`, `DRONE_SECRET`, `WOODPECKER_PASSWORD`, `DRONE_PASSWORD` and `DRONE_AGENT_SECRET`.
- `WOODPECKER_HOST` replaces `DRONE_HOST` and `DRONE_SERVER_HOST`.
- `WOODPECKER_DATABASE_DRIVER` replaces `DRONE_DATABASE_DRIVER` and `DATABASE_DRIVER`.
- `WOODPECKER_DATABASE_DATASOURCE` replaces `DRONE_DATABASE_DATASOURCE` and `DATABASE_CONFIG`.
- Dropped support for `DRONE_*` environment variables in pipeline steps. Pipeline meta-data can be accessed with `CI_*` variables.
- `CI_*` prefix replaces `DRONE_*`
- `CI` value is now `woodpecker`
- `DRONE=true` has been removed
- Some variables got deprecated and will be removed in future versions. Please migrate to the new names. Same applies for `DRONE_` of them.
- CI_ARCH => use CI_SYSTEM_ARCH
- CI_COMMIT => CI_COMMIT_SHA
- CI_TAG => CI_COMMIT_TAG
- CI_PULL_REQUEST => CI_COMMIT_PULL_REQUEST
- CI_REMOTE_URL => use CI_REPO_REMOTE
- CI_REPO_BRANCH => use CI_REPO_DEFAULT_BRANCH
- CI_PARENT_BUILD_NUMBER => use CI_BUILD_PARENT
- CI_BUILD_TARGET => use CI_BUILD_DEPLOY_TARGET
- CI_DEPLOY_TO => use CI_BUILD_DEPLOY_TARGET
- CI_COMMIT_AUTHOR_NAME => use CI_COMMIT_AUTHOR
- CI_PREV_COMMIT_AUTHOR_NAME => use CI_PREV_COMMIT_AUTHOR
- CI_SYSTEM => use CI_SYSTEM_NAME
- CI_BRANCH => use CI_COMMIT_BRANCH
- CI_SOURCE_BRANCH => use CI_COMMIT_SOURCE_BRANCH
- CI_TARGET_BRANCH => use CI_COMMIT_TARGET_BRANCH
For all available variables and their descriptions have a look at [built-in-environment-variables](./20-usage/50-environment.md#built-in-environment-variables).
- Prometheus metrics have been changed from `drone_*` to `woodpecker_*`
- Base path has moved from `/var/lib/drone` to `/var/lib/woodpecker`
- Default SQLite database location has changed:
- `/var/lib/drone/drone.sqlite` -> `/var/lib/woodpecker/woodpecker.sqlite`
- `drone.sqlite` -> `woodpecker.sqlite`
- Plugin Settings moved into `settings` section:
```diff
pipeline:
something:
image: my/plugin
- setting1: foo
- setting2: bar
+ settings:
+ setting1: foo
+ setting2: bar
```
- `WOODPECKER_DEBUG` option for server and agent got removed in favor of `WOODPECKER_LOG_LEVEL=debug`
- Remove unused server flags which can safely be removed from your server config: `WOODPECKER_QUIC`, `WOODPECKER_GITHUB_SCOPE`, `WOODPECKER_GITHUB_GIT_USERNAME`, `WOODPECKER_GITHUB_GIT_PASSWORD`, `WOODPECKER_GITHUB_PRIVATE_MODE`, `WOODPECKER_GITEA_GIT_USERNAME`, `WOODPECKER_GITEA_GIT_PASSWORD`, `WOODPECKER_GITEA_PRIVATE_MODE`, `WOODPECKER_GITLAB_GIT_USERNAME`, `WOODPECKER_GITLAB_GIT_PASSWORD`, `WOODPECKER_GITLAB_PRIVATE_MODE`
- Dropped support for manually setting the agents platform with `WOODPECKER_PLATFORM`. The platform is now automatically detected.
- Use `WOODPECKER_STATUS_CONTEXT` instead of the deprecated options `WOODPECKER_GITHUB_CONTEXT` and `WOODPECKER_GITEA_CONTEXT`.
## 0.14.0
No breaking changes

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# Awesome Woodpecker
A curated list of awesome things related to Woodpecker-CI.
If you have some missing resources, please feel free to [open a pull-request](https://github.com/woodpecker-ci/woodpecker/edit/master/docs/docs/92-awesome.md) and add them.
## Official Resources
- [Woodpecker CI pipeline configs](https://github.com/woodpecker-ci/woodpecker/tree/master/.woodpecker) - Complex setup containing different kind of pipelines
- [Golang tests](https://github.com/woodpecker-ci/woodpecker/blob/master/.woodpecker/test.yml)
- [Typescript, eslint & Vue](https://github.com/woodpecker-ci/woodpecker/blob/master/.woodpecker/web.yml)
- [Docusaurus & publishing to GitHub Pages](https://github.com/woodpecker-ci/woodpecker/blob/master/.woodpecker/docs.yml)
- [Docker container building](https://github.com/woodpecker-ci/woodpecker/blob/master/.woodpecker/docker.yml)
- [Helm chart linting & releasing](https://github.com/woodpecker-ci/woodpecker/blob/master/.woodpecker/helm.yml)
## Projects using Woodpecker
- [Woodpecker-CI](https://github.com/woodpecker-ci/woodpecker/tree/master/.woodpecker) itself
- [All official plugins](https://github.com/woodpecker-ci?q=plugin&type=all)
## Templates
## Blogs, guides, videos
## Plugins
We have a separate [index](/plugins) for plugins.

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# Getting started
## Preparation
### Install Go
Install Golang (>=1.16) as described by [this guide](https://go.dev/doc/install).
### Install make
> GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files. (https://www.gnu.org/software/make/)
Install make on:
- Ubuntu: `apt install make` - [Docs](https://wiki.ubuntuusers.de/Makefile/)
- [Windows](https://stackoverflow.com/a/32127632/8461267)
- Mac OS: `brew install make`
### Install Node.js & Yarn
Install [Node.js (>=14)](https://nodejs.org/en/download/) if you want to build Woodpeckers UI or documentation.
For dependencies installation (node_modules) for the UI and documentation of Woodpecker the package-manager Yarn is used. The installation of Yarn is described by [this guide](https://yarnpkg.com/getting-started/install).
### Create a `.env` file with your development configuration
Similar to the environment variables you can set for your production setup of Woodpecker, you can create a `.env` in the root of the Woodpecker project and add any need config to it.
A common config for debugging would look like this:
```ini
WOODPECKER_OPEN=true
WOODPECKER_ADMIN=your-username
# if you want to test webhooks with an online SCM like GitHub this address needs to be accessible from public server
WOODPECKER_HOST=http://your-dev-address.com/
# github (sample for a SCM config - see /docs/administration/vcs/overview for other SCMs)
WOODPECKER_GITHUB=true
WOODPECKER_GITHUB_CLIENT=<redacted>
WOODPECKER_GITHUB_SECRET=<redacted>
# agent
WOODPECKER_SERVER=localhost:9000
WOODPECKER_AGENT_SECRET=a-long-and-secure-password-used-for-the-local-development-system
WOODPECKER_MAX_PROCS=1
# enable if you want to develop the UI
# WOODPECKER_DEV_WWW_PROXY=http://localhost:8010
# used so you can login without using a public address
WOODPECKER_DEV_OAUTH_HOST=http://localhost:8000
# disable health-checks while debugging (normally not needed while developing)
WOODPECKER_HEALTHCHECK=false
# WOODPECKER_LOG_LEVEL=debug
# WOODPECKER_LOG_LEVEL=trace
```
### Setup O-Auth
Create an O-Auth app for your SCM as describe in the [SCM documentation](../30-administration/11-vcs/10-overview.md). If you set `WOODPECKER_DEV_OAUTH_HOST=http://localhost:8000` you can use that address with the path as explained for the specific SCM to login without the need for a public address. For example for GitHub you would use `http://localhost:8000/authorize` as authorization callback URL.
## Developing with VS-Code
You can use different methods for debugging the Woodpecker applications. One of the currently recommend ways to debug and test the Woodpecker application is using [VS-Code](https://code.visualstudio.com/) or [VS-Codium](https://vscodium.com/) (Open-Source binaries of VS-Code) as most maintainers are using it and Woodpecker already includes the needed debug configurations for it.
As a starting guide for programming Go with VS-Code you can use this video guide:
[![Getting started with Go in VS-Code](https://img.youtube.com/vi/1MXIGYrMk80/0.jpg)](https://www.youtube.com/watch?v=1MXIGYrMk80)
### Debugging Woodpecker
The Woodpecker source code already includes launch configurations for the Woodpecker server and agent. To start debugging you can click on the debug icon in the navigation bar of VS-Code (ctrl-shift-d). On that page you will see the existing launch jobs at the top. Simply select the agent or server and click on the play button. You can set breakpoints in the source files to stop at specific points.
![Woodpecker debugging with VS-Code](./vscode-debug.png)
## Testing & linting code
To test or lint parts of Woodpecker you can run one of the following commands:
```bash
# test server code
make test-server
# test agent code
make test-agent
# test cli code
make test-cli
# test datastore / database related code like migrations of the server
make test-server-datastore
# lint go code
make lint
# lint UI code
make lint-frontend
# test UI code
make test-frontend
```
If you want to test a specific go file you can also use:
```bash
go test -race -timeout 30s github.com/woodpecker-ci/woodpecker/<path-to-the-package-or-file-to-test>
```
Or you can open the test-file inside [VS-Code](#developing-with-vs-code) and run or debug the test by clicking on the inline commands:
![Run test via VS-Code](./vscode-run-test.png)
## Run applications from terminal
If you want to run a Woodpecker applications from your terminal you can use one of the following commands from the base of the Woodpecker project. They will execute Woodpecker in a similar way as described in [debugging Woodpecker](#debugging-woodpecker) without the ability to really debug it in your editor.
```bash title="start server"
go run ./cmd/server
```
```bash title="start agent"
go run ./cmd/agent
```
```bash title="execute cli command"
go run ./cmd/cli [command]
```

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# UI Development
To develop the UI you need to install [Node.js and Yarn](./01-getting-started.md#install-nodejs--yarn). In addition it is recommended to use VS-Code with the recommended plugin selection to get features like auto-formatting, linting and typechecking. The UI is written with [Vue 3](https://v3.vuejs.org/) as Single-Page-Application accessing the Woodpecker REST api.
## Setup
The UI code is placed in `web/`. Change to that folder in your terminal with `cd web/` and install all dependencies by running `yarn install`. For production builds the generated UI code is integrated into the Woodpecker server by using [go-embed](https://pkg.go.dev/embed).
Testing UI changes would require us to rebuild the UI after each adjustment to the code by running `yarn build` and restarting the Woodpecker server. To avoid this you can make use of the dev-proxy integrated into the Woodpecker server. This integrated dev-proxy will forward all none api request to a separate http-server which will only serve the UI files.
![UI Proxy architecture](./ui-proxy.svg)
Start the UI server locally with [hot-reloading](https://stackoverflow.com/a/41429055/8461267) by running: `yarn start`. To enable the forwarding of requests to the UI server you have to enable the dev-proxy inside the Woodpecker server by adding `WOODPECKER_DEV_WWW_PROXY=http://localhost:8010` to your `.env` file.
After starting the Woodpecker server as explained in the [debugging](./01-getting-started.md#debugging-woodpecker) section, you should now be able to access the UI under [http://localhost:8000](http://localhost:8000).
## Tools and frameworks
The following list contains some tools and frameworks used by the Woodpecker UI. For some points we added some guidelines / hints to help you developing.
- [Vue 3](https://v3.vuejs.org/)
- use `setup` and composition api
- place (re-usable) components in `web/src/components/`
- views should have a route in `web/src/router.ts` and are located in `web/src/views/`
- [Windicss](https://windicss.org/) (similar to Tailwind)
- use Windicss classes where possible
- if needed extend the Windicss config to use new classes
- [Vite](https://vitejs.dev/) (similar to Webpack)
- [Typescript](https://www.typescriptlang.org/)
- avoid using `any` and `unknown` (the linter will prevent you from doing so anyways :wink:)
- [eslint](https://eslint.org/)
- [Volar & vue-tsc](https://github.com/johnsoncodehk/volar/) for type-checking in .vue file
- use the take-over mode of Volar as described by [this guide](https://github.com/johnsoncodehk/volar/discussions/471)

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# Documentation
The documentation is using docusaurus as framework. You can learn more about it from its [official documentation](https://docusaurus.io/docs/).
If you only want to change some text it probably is enough if you just search for the corresponding [Markdown](https://www.markdownguide.org/basic-syntax/) file inside the `docs/docs/` folder and adjust it. If you want to change larger parts and test the rendered documentation you can run docusaurus locally. Similarly to the UI you need to install [Node.js and Yarn](./01-getting-started.md#install-nodejs--yarn). After that you can run and build docusaurus locally by using the following commands:
```bash
cd docs/
yarn install
# build plugins used by the docs
yarn build:woodpecker-plugins
# start docs with hot-reloading, so you can change the docs and directly see the changes in the browser without reloading it manually
yarn start
# or build the docs to deploy it to some static page hosting
yarn build
```

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# Architecture
## Package architecture
![Woodpecker architecture](./woodpecker-architecture.png)
## System architecture
TODO

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# Guides
## ORM
Woodpecker uses [Xorm](https://xorm.io/) as ORM for the database connection.
You can find its documentation at [gobook.io/read/gitea.com/xorm](https://gobook.io/read/gitea.com/xorm/manual-en-US/).
## Add a new migration
Woodpecker uses migrations to change the database schema if a database model has been changed. If for example a developer removes a property `Counter` from the model `Repo` in `server/model/` they would need to add a new migration task like the following example to a file like `server/store/datastore/migration/004_repos_drop_repo_counter.go`:
```go
package migration
import (
"xorm.io/xorm"
)
var alterTableReposDropCounter = task{
name: "alter-table-drop-counter",
fn: func(sess *xorm.Session) error {
return dropTableColumns(sess, "repos", "repo_counter")
},
}
```
:::info
Adding new properties to models will be handled automatically by the underlying [ORM](#orm) based on the [struct field tags](https://stackoverflow.com/questions/10858787/what-are-the-uses-for-tags-in-go) of the model. If you add a completely new model, you have to add it to the `allBeans` variable at `server/store/datastore/migration/migration.go` to get a new table created.
:::
:::warning
You should not use `sess.Begin()`, `sess.Commit()` or `sess.Close()` inside a migration. Session / transaction handling will be done by the underlying migration manager.
:::
To automatically execute the migration after the start of the server, the new migration needs to be added to the end of `migrationTasks` in `server/store/datastore/migration/migration.go`. After a successful execution of that transaction the server will automatically add the migration to a list, so it wont be executed again on the next start.

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label: 'Development'
# position: 3
collapsible: true
collapsed: true

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{
"tutorialSidebar": [
{
"type": "autogenerated",
"dirName": "."
}
]
}

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["2.4", "2.3", "2.2", "2.1", "2.0", "1.0", "0.15"]
["2.4", "2.3", "2.2", "2.1", "2.0", "1.0"]