and a nit to improve the clone --- *Sponsored by Kithara Software GmbH*
2.7 KiB
Local backend
:::danger The local backend will execute the pipelines on the local system without any isolation of any kind. :::
:::note This backend is still pretty new and can not be treated as stable. Its implementation and configuration can change at any time. :::
Since the code runs directly in the same context as the agent (same user, same
filesystem), a malicious pipeline could be used to access the agent
configuration especially the WOODPECKER_AGENT_SECRET
variable.
It is recommended to use this backend only for private setup where the code and pipeline can be trusted. You shouldn't use it for a public facing CI where anyone can submit code or add new repositories. You shouldn't execute the agent as a privileged user (root).
The local backend will use a random directory in $TMPDIR to store the cloned code and execute commands.
In order to use this backend, you need to download (or build) the binary of the agent, configure it and run it on the host machine.
Configuration
Server
Enable connection to the server from the outside of the docker environment by exposing the port 9000:
# docker-compose.yml for the server
version: '3'
services:
woodpecker-server:
[...]
ports:
- 9000:9000
[...]
environment:
- [...]
Agent
You can use the .env
file to store environmental variables for configuration.
At the minimum you need the following information:
# .env for the agent
WOODPECKER_AGENT_SECRET=replace_with_your_server_secret
WOODPECKER_SERVER=replace_with_your_server_address:9000
Running the agent
Start the agent from the directory with the .env
file:
woodpecker-agent
:::note
When using the local
backend, the
plugin-git binary must be in
your $PATH
for the default clone step to work. If not, you can still write a
manual clone step.
:::
Further configuration
Specify the shell to be used for a pipeline step
The image
entry is used to specify the shell, such as Bash or Fish, that is
used to run the commands.
# .woodpecker.yml
steps:
build:
image: bash
commands:
[...]
Using labels to filter tasks
You can use the agent configuration options and the pipeline syntax to only run certain pipelines on certain agents. Example:
Define a label
type
with value exec
for a particular agent:
# .env for the agent
WOODPECKER_FILTER_LABELS=type=exec
Then, use this label
type
with value exec
in the pipeline definition, to
only run on this agent:
# .woodpecker.yml
labels:
type: exec
steps:
[...]