woodpecker/docs/versioned_docs/version-0.15/20-usage/10-intro.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

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!

:::

Example pipeline configuration:

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:

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.