Functions
Dagger Functions are individual units of computation that perform a specific task by combining operations on components with custom logic. Dagger Functions are written in a programming language using a type-safe Dagger SDK, and packaged and shared in Dagger modules.
Here's an example of a Dagger Function which calls a remote API method and returns the result:
- Go
- Python
- TypeScript
- PHP
- Java
Update the main.go
file with the following code:
package main
import (
"context"
)
type MyModule struct{}
func (m *MyModule) GetUser(ctx context.Context) (string, error) {
return dag.Container().
From("alpine:latest").
WithExec([]string{"apk", "add", "curl"}).
WithExec([]string{"apk", "add", "jq"}).
WithExec([]string{"sh", "-c", "curl https://randomuser.me/api/ | jq .results[0].name"}).
Stdout(ctx)
}
This Dagger Function includes the context as input and error as return in its signature.
Update the src/my_module/main.py
file with the following code:
from dagger import dag, function, object_type
@object_type
class MyModule:
@function
async def get_user(self) -> str:
return await (
dag.container()
.from_("alpine:latest")
.with_exec(["apk", "add", "curl"])
.with_exec(["apk", "add", "jq"])
.with_exec(
["sh", "-c", "curl https://randomuser.me/api/ | jq .results[0].name"]
)
.stdout()
)
Dagger Functions are implemented as @dagger.function decorated methods, of a @dagger.object_type decorated class.
It's possible for a module to implement multiple classes (object types), but the first one needs to have a name that matches the module's name, in PascalCase. This object is sometimes referred to as the "main object".
For example, for a module initialized with dagger init --name=my-module
,
the main object needs to be named MyModule
.
Update the src/index.ts
file with the following code:
import { dag, object, func } from "@dagger.io/dagger"
@object()
class MyModule {
@func()
async getUser(): Promise<string> {
return await dag
.container()
.from("alpine:latest")
.withExec(["apk", "add", "curl"])
.withExec(["apk", "add", "jq"])
.withExec([
"sh",
"-c",
"curl https://randomuser.me/api/ | jq .results[0].name",
])
.stdout()
}
}
Update the src/MyModule.php
file with the following code:
<?php
declare(strict_types=1);
namespace DaggerModule;
use Dagger\Attribute\{DaggerObject, DaggerFunction};
use function Dagger\dag;
#[DaggerObject]
class MyModule
{
#[DaggerFunction]
public function getUser(): string
{
return dag()
->container()
->from('alpine:latest')
->withExec(['apk', 'add', 'curl'])
->withExec(['apk', 'add', 'jq'])
->withExec([
'sh',
'-c',
'curl https://randomuser.me/api/ | jq .results[0].name',
])
->stdout();
}
}
Update the src/main/java/io/dagger/modules/mymodule/MyModule.java
file with the following code:
package io.dagger.modules.mymodule;
import static io.dagger.client.Dagger.dag;
import io.dagger.client.Container;
import io.dagger.client.Directory;
import io.dagger.client.exception.DaggerQueryException;
import io.dagger.module.annotation.Function;
import io.dagger.module.annotation.Object;
import java.util.List;
import java.util.concurrent.ExecutionException;
/** MyModule main object */
@Object
public class MyModule {
@Function
public String getUser() throws ExecutionException, DaggerQueryException, InterruptedException {
return dag().container()
.from("alpine:latest")
.withExec(List.of("apk", "add", "curl"))
.withExec(List.of("apk", "add", "jq"))
.withExec(List.of("sh", "-c", "curl https://randomuser.me/api/ | jq .results[0].name"))
.stdout();
}
}
Dagger Functions must be public. The function must be decorated with the @Function
annotation
and the class containing the functions must be decorated with the @Object
annotation.
You can try this Dagger Function by copying it into the default template generated by dagger init
, but remember that you must update the module name in the code samples above to match the name used when your module was first initialized.
In simple terms, here is what this Dagger Function does:
- It initializes a new container from an
alpine
base image. - It executes the
apk add ...
command in the container to add thecurl
andjq
utilities. - It uses the
curl
utility to send an HTTP request to the URLhttps://randomuser.me/api/
and parses the response usingjq
. - It retrieves and returns the output stream of the last executed command as a string.
Here is an example call for this Dagger Function:
- System shell
- Dagger Shell
- Dagger CLI
dagger -c 'get-user'
get-user
dagger call get-user
Here's what you should see:
{
"title": "Mrs",
"first": "Beatrice",
"last": "Lavigne"
}
Dagger Functions execute within containers spawned by the Dagger Engine. This "sandboxing" serves a few important purposes:
- Reproducibility: Executing in a well-defined and well-controlled container ensures that a Dagger Function runs the same way every time it is invoked. It also guards against creating "hidden dependencies" on ambient properties of the execution environment that could change at any moment.
- Caching: A reproducible containerized environment makes it possible to cache the result of Dagger Function execution, which in turn allows Dagger to automatically speed up operations.
- Security: Even when running third-party Dagger Functions sourced from a Git repository, those Dagger Functions will not have default access to your host environment (host files, directories, environment variables, etc.). Access to these host resources can only be granted by explicitly passing them as argument values to the Dagger Function.
When implementing Dagger Functions, you are free to write arbitrary code that will execute inside the Dagger module's container. You have access to the Dagger API to make calls to the core Dagger API or other Dagger modules you depend on, but you are also free to just use the language's standard library and/or imported third-party libraries.
The process your code executes in will currently be with the root
user, but without a full set of Linux capabilities and other standard container sandboxing provided by runc
.
The current working directory of your code will be an initially empty directory. You can write and read files and directories in this directory if needed. This includes using the Container.export()
, Directory.export()
or File.export()
APIs to write those artifacts to this local directory if needed.