docs: specify env when using dagger + fix docs_101 ambiguous naming and english mistakes + change method, now cue.mod
Signed-off-by: Guillaume de Rouville <guillaume.derouville@gmail.com>
This commit is contained in:
Guillaume de Rouville
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@ -5,20 +5,20 @@ slug: /learn/101-basics
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# Dagger 101: basic usage
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In this guide, you will learn the basics of Dagger by interacting with a pre-configured environment.
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Then you will move on to creating your own environment from scratch.
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Then you will move on to creating your environment from scratch.
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Our pre-configured environment deploys a simple [React](https://reactjs.org/)
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application to a special hosting environment created and managed by us, the Dagger team, for the purpose of this tutorial.
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This will allow you to deploy something "real" right away, without having to configure your own infrastructure first.
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application to a unique hosting environment created and managed by us, the Dagger team, for this tutorial.
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This will allow you to deploy something "real" right away without configuring your infrastructure first.
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In later guides, you will learn how to configure Dagger to deploy to your own infrastructure. And, for advanced users,
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how to share access to your infrastructure in the same way that we are sharing access to ours now.
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In later guides, you will learn how to configure Dagger to deploy to your infrastructure. And, for advanced users,
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how to share access to your infrastructure in the same way that we share access to ours now.
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## Initial setup
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### Install Dagger
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First, make sure [you have installed dagger on your local machine](/install).
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First, make sure [you have installed Dagger on your local machine](/install).
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### Setup example app
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@ -38,15 +38,15 @@ cd examples/todoapp
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### Import the tutorial key
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Dagger natively supports encrypted secrets: when a user inputs a value marked as secret
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(for example a password, API token or ssh key) it is automatically encrypted with that user's key,
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(for example, a password, API token, or ssh key) it is automatically encrypted with that user's key,
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and no other user can access that value unless they are explicitly given access.
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In the interest of security, Dagger has no way _not_ to encrypt a secret value.
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But this causes a dilemma for this tutorial: how do we give unrestricted public access to our
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(carefully sandboxed) infrastructure, so that anyone can deploy to it?
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But this causes a dilemma for this tutorial: how do we give unrestricted, public access to our
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(carefully sandboxed) infrastructure so that anyone can deploy to it?
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To solve this dilemma, we included the private key used to encrypt the tutorial's secret inputs.
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Simply import the key to your Dagger installation, and you're good to go:
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Import the key to your Dagger installation, and you're good to go:
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```shell
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./import-tutorial-key.sh
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@ -54,7 +54,7 @@ Simply import the key to your Dagger installation, and you're good to go:
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## First deployment
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Now that your environment is setup, you are ready to deploy:
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Now that your environment is set up, you are ready to deploy:
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```shell
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dagger up
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@ -75,7 +75,7 @@ NOTE: you don't have to commit your changes to the git repository before deployi
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## Under the hood
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This example showed you how to deploy and develop on an application that is already configured with dagger. Now, let's learn a few concepts to help you understand how this was put together.
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This example showed you how to deploy and develop an application that is already configured with Dagger. Now, let's learn a few concepts to help you understand how this was put together.
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### The Environment
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@ -87,13 +87,13 @@ You can list existing environment from the `./todoapp` directory:
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dagger list
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```
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You should see an environment named `s3`. You can have many environments within your app. For instance one for `staging`, one for `dev`, etc...
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You should see an environment named `s3`. You can have many environments within your app. For instance, one for `staging`, one for `dev`, etc...
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Each environment can have different kind of deployment code. For example, a `dev` environment can deploy locally, a `staging` environment can deploy to a remote infrastructure, and so on.
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Each environment can have a different kind of deployment code. For example, a `dev` environment can deploy locally; a `staging` environment can deploy to a remote infrastructure, and so on.
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### The plan
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The plan is the deployment code, that includes the logic to deploy the local application to an AWS S3 bucket. From the `todoapp` directory, you can list the code of the plan:
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The plan is the deployment code that includes the logic to deploy the local application to an AWS S3 bucket. From the `todoapp` directory, you can list the code of the plan:
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```shell
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ls -l .dagger/env/s3/plan/
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@ -103,7 +103,7 @@ Any code change to the plan will be applied during the next `dagger up`.
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### The inputs
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The plan can define one or several `inputs` in order to take some information from the user. Here is how to list the current inputs:
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The plan can define one or several `inputs`. Inputs may be configuration values, artifacts, or encrypted secrets provided by the user. Here is how to list the current inputs:
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```shell
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dagger input list
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@ -113,7 +113,7 @@ The inputs are persisted inside the `.dagger` directory and pushed to your git r
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### The outputs
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The plan defines one or several `outputs`. They can show useful information at the end of the deployment. That's how we read the deploy `url` at the end of the deployment. Here is the command to list all inputs:
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The plan defines one or several `outputs`. They can show helpful information at the end of the deployment. That's how we read the deploy `url` at the end of the deployment. Here is the command to list all inputs:
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```shell
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dagger output list
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@ -121,4 +121,4 @@ dagger output list
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## What's next?
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At this point, you have deployed your first application using dagger and learned some dagger commands. You are now ready to [learn more about how to program dagger](/learn/102-dev).
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At this point, you have deployed your first application using Dagger and learned some dagger commands. You are now ready to [learn more about how to program Dagger](/learn/102-dev).
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@ -116,7 +116,7 @@ But you can call your packages anything you want.
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Let's create a new directory for our Cue package:
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```shell
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mkdir multibucket
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mkdir cue.mod/multibucket
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```
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### Component 1: app source code
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@ -130,7 +130,7 @@ In Dagger terms, this component has two essential properties:
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Let's write the corresponding Cue code to a new file in our package:
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```cue title="todoapp/multibucket/source.cue"
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```cue title="todoapp/cue.mod/multibucket/source.cue"
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package multibucket
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import (
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@ -147,7 +147,7 @@ This code defines a component at the key `src`, and specifies that it is both an
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The second component of our plan is the Yarn package built from the app source code:
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```cue title="todoapp/multibucket/yarn.cue"
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```cue title="todoapp/cue.mod/multibucket/yarn.cue"
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package multibucket
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import (
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@ -176,7 +176,7 @@ _FIXME_: this section is not yet available because the [Amazon S3 package](https
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The third component of our plan is the Netlify site to which the app will be deployed:
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```cue title="todoapp/multibucket/netlify.cue"
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```cue title="todoapp/cue.mod/multibucket/netlify.cue"
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package multibucket
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import (
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@ -216,27 +216,56 @@ You can also browse the [Dagger Universe](../reference/universe/README.md) refer
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Now that your Cue package is ready, let's create an environment to run it:
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```shell
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dagger new 'multibucket'
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dagger new 'multibucket' -m cue.mod/multibucket
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```
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### Load the plan into the environment
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Now let's configure the new environment to use our package as its plan:
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```shell
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cp multibucket/*.cue .dagger/env/multibucket/plan/
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```
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Note: you need to copy the files from your package into the environment, as shown above.
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If you make more changes to your package, you will need to copy the new version, or it will not be used.
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In the future, we will add the ability to reference your Cue package directory, making this manual copy unnecessary.
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### Configure user inputs
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[This section is not yet written](https://github.com/dagger/dagger/blob/main/CONTRIBUTING.md)
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You can inspect the list of inputs (both required and optional) using dagger input list:
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```shell
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dagger input list -e multibucket
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# Input Value Set by user Description
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# site.netlify.account.name *"" | string false Use this Netlify account name (also referred to as "team" in the Netlify docs)
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# site.netlify.account.token dagger.#Secret false Netlify authentication token
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# site.netlify.name string false Deploy to this Netlify site
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# site.netlify.create *true | bool false Create the Netlify site if it doesn't exist?
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# src dagger.#Artifact false Source code of the sample application
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# app.cwd *"." | string false working directory to use
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# app.writeEnvFile *"" | string false Write the contents of `environment` to this file, in the "envfile" format
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# app.buildDir *"build" | string false Read build output from this directory (path must be relative to working directory)
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# app.script *"build" | string false Run this yarn script
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# app.args *[] | [] false Optional arguments for the script
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```
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All the values without default values (without `*`) have to be specified by the user. Here, required fields are:
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- `site.netlify.account.token`, your access token
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- `site.netlify.name`, name of the published website
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- `src`, source code of the app
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Please note the type of the user inputs: a string, a #Secret and an artifact. Let's see how to input them:
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```shell
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# As a string input is expected for `site.netlify.name`, we set a `text` input
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dagger input text site.netlify.name <GLOBALLY-UNIQUE-NAME> -e multibucket
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# As a secret input is expected for `site.netlify.account.token`, we set a `secret` input
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dagger input secret site.netlify.account.token <PERSONAL-ACCESS-TOKEN> -e multibucket
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# As an Artifact is exepected for `src`, we set a `dir` input (dagger input list for alternatives)
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dagger input dir src . -e multibucket
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```
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### Deploy
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Now that everything is properly set, let's deploy on Netlify:
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```shell
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dagger up -e multibucket
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```
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[This section is not yet written](https://github.com/dagger/dagger/blob/main/CONTRIBUTING.md)
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### Using the environment
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@ -49,7 +49,7 @@ cue mod init
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Let's create a new directory for our Cue package:
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```shell
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mkdir cloudformation
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mkdir cue.mod/cloudformation
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```
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## Create a basic plan
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@ -66,7 +66,7 @@ The idea here is to follow best practices in [S3 buckets](https://docs.aws.amazo
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Create a file named `template.cue` and add the following configuration to it.
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```cue title="todoapp/cloudformation/template.cue"
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```cue title="todoapp/cue.mod/cloudformation/template.cue"
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package cloudformation
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// inlined s3 cloudformation template as a string
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@ -164,7 +164,7 @@ The config values are all part of the `aws` relay. Regarding this package, as yo
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Let's implement the first step, use the `aws.#Config` relay, and request its first inputs: the region to deploy and the AWS credentials.
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```cue title="todoapp/cloudformation/source.cue"
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```cue title="todoapp/cue.mod/cloudformation/source.cue"
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package cloudformation
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import (
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@ -186,32 +186,24 @@ This defines:
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Now that the Cue package is ready, let's create an environment to run it:
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```shell
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dagger new 'cloudformation'
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dagger new 'cloudformation' -m cue.mod/cloudformation
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```
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##### 2. Load the plan into the environment
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Now let's configure the new environment to use our package as its plan:
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```shell
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cp cloudformation/*.cue .dagger/env/cloudformation/plan/
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```
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##### 3. Check plan
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##### 2. Check plan
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_Pro tips_: To check whether it worked or not, these three commands might help
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```shell
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dagger input list # List our personal plan's inputs
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dagger input list -e cloudformation # List our personal plan's inputs
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# Input Value Set by user Description
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# awsConfig.region string false AWS region
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# awsConfig.accessKey dagger.#Secret false AWS access key
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# awsConfig.secretKey dagger.#Secret false AWS secret key
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dagger query # Query values / inspect default values (Instrumental in case of conflict)
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dagger query -e cloudformation # Query values / inspect default values (Instrumental in case of conflict)
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# {}
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dagger up # Try to run the plan. As expected, we encounter a failure because some user inputs haven't been set
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dagger up -e cloudformation # Try to run the plan. As expected, we encounter a failure because some user inputs haven't been set
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# 4:11PM ERR system | required input is missing input=awsConfig.region
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# 4:11PM ERR system | required input is missing input=awsConfig.accessKey
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# 4:11PM ERR system | required input is missing input=awsConfig.secretKey
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@ -222,7 +214,7 @@ dagger up # Try to run the plan. As expected, we encounter a failure because som
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Now that we have the `config` definition properly configured, let's modify the Cloudformation one:
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```cue title="todoapp/cloudformation/source.cue"
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```cue title="todoapp/cue.mod/cloudformation/source.cue"
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package cloudformation
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import (
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@ -257,18 +249,12 @@ This defines:
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- `cfnStackName`: Name of the stack, either a default value `stack-suffix` or user input
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- `cfnStack`: Cloudformation relay with `AWS config`, `stackName` and `JSON template` as inputs
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You need to copy the changes to the plan for Dagger to reference them
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```shell
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cp cloudformation/*.cue .dagger/env/cloudformation/plan/
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```
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### Configure the environment
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Before bringing up the deployment, we need to provide the `cfnStack` inputs declared in the configuration. Otherwise, Dagger will complain about missing inputs.
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```shell
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dagger up
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dagger up -e cloudformation
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# 3:34PM ERR system | required input is missing input=awsConfig.region
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# 3:34PM ERR system | required input is missing input=awsConfig.accessKey
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# 3:34PM ERR system | required input is missing input=awsConfig.secretKey
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@ -278,7 +264,7 @@ dagger up
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You can inspect the list of inputs (both required and optional) using dagger input list:
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```shell
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dagger input list
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dagger input list -e cloudformation
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# Input Value Set by user Description
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# awsConfig.region string false AWS region
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# awsConfig.accessKey dagger.#Secret false AWS access key
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@ -292,9 +278,9 @@ dagger input list
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Let's provide the missing inputs:
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```shell
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dagger input text awsConfig.region us-east-2
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dagger input secret awsConfig.accessKey yourAccessKey
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dagger input secret awsConfig.secretKey yourSecretKey
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dagger input text awsConfig.region us-east-2 -e cloudformation
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dagger input secret awsConfig.accessKey yourAccessKey -e cloudformation
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dagger input secret awsConfig.secretKey yourSecretKey -e cloudformation
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```
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### Deploying
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@ -310,7 +296,7 @@ Finally ! We now have a working template ready to be used to provision S3 infras
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<TabItem value="nd">
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```shell
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dagger up
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dagger up -e cloudformation
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#2:22PM INF suffix.out | computing
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#2:22PM INF suffix.out | completed duration=200ms
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#2:22PM INF cfnStack.outputs | computing
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@ -322,7 +308,7 @@ dagger up
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#2:22PM INF cfnStack.outputs | #15 2.948 }
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#2:22PM INF cfnStack.outputs | completed duration=35s
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dagger output list
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dagger output list -e cloudformation
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# Output Value Description
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# suffix.out "emktqcfwksng" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-emktqcfwksng-s3bucket-9eiowjs1jab4" -
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@ -332,7 +318,7 @@ dagger output list
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<TabItem value="dd">
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```shell
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dagger up -l debug
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dagger up -l debug -e cloudformation
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#Output:
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# 3:50PM DBG system | detected buildkit version version=v0.8.3
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# 3:50PM DBG system | spawning buildkit job localdirs={
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@ -344,7 +330,7 @@ dagger up -l debug
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# suffix.out "abnyiemsoqbm" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-abnyiemsoqbm-s3bucket-9eiowjs1jab4" -
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dagger output list
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dagger output list -e cloudformation
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# Output Value Description
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# suffix.out "abnyiemsoqbm" generated random string
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# cfnStack.outputs.Name "arn:aws:s3:::stack-abnyiemsoqbm-s3bucket-9eiowjs1jab4" -
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@ -358,7 +344,7 @@ The deployment went well!
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In case of a failure, the `Debug deploy` tab shows the command to get more information.
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The name of the provisioned S3 instance lies in the `cfnStack.outputs.Name` output key, without `arn:aws:s3:::`
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> With this provisioning infrastructure, your dev team will easily be able to instantiate aws infrastructures: all they need to know is `dagger input list` and `dagger up,` isn't that awesome? :-D
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> With this provisioning infrastructure, your dev team will easily be able to instantiate aws infrastructures: all they need to know is `dagger input list -e cloudformation` and `dagger up -e cloudformation` isn't that awesome? :-D
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## Cue Cloudformation template
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@ -382,7 +368,7 @@ import TabItem from "@theme/TabItem";
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}>
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<TabItem value="sv">
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```cue title="todoapp/cloudformation/convert.cue"
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```cue title="todoapp/cue.mod/cloudformation/convert.cue"
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package cloudformation
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import "encoding/json"
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@ -392,7 +378,7 @@ s3Template: json.Unmarshal(template)
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</TabItem>
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<TabItem value="yv">
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```cue title="todoapp/cloudformation/convert.cue"
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```cue title="todoapp/cue.mod/cloudformation/convert.cue"
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package cloudformation
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import "encoding/yaml"
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@ -409,8 +395,7 @@ This defines:
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You need to empty the plan and copy the `convert.cue` file to the plan for Dagger to reference it
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```shell
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rm .dagger/env/cloudformation/plan/*
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cp cloudformation/template.cue cloudformation/convert.cue .dagger/env/cloudformation/plan/
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rm cue.mod/cloudformation/source.cue
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```
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### 2. Retrieve the Unmarshalled JSON
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@ -418,7 +403,7 @@ cp cloudformation/template.cue cloudformation/convert.cue .dagger/env/cloudforma
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Then, still in the same folder, query the `s3Template` value to retrieve the Unmarshalled result of `s3`:
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```shell
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dagger query s3Template > cloudformation/template.cue
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dagger query s3Template -e cloudformation
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# {
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# "AWSTemplateFormatVersion": "2010-09-09",
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# "Outputs": {
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@ -431,19 +416,19 @@ dagger query s3Template > cloudformation/template.cue
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# ...
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```
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The commented output above is the cue version of the JSON Template
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The commented output above is the cue version of the JSON Template, copy it
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### 3. Remove convert.cue
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```shell
|
||||
rm cloudformation/convert.cue .dagger/env/cloudformation/plan/convert.cue
|
||||
rm cue.mod/cloudformation/convert.cue
|
||||
```
|
||||
|
||||
### 4. Store the output
|
||||
|
||||
Open `cloudformation/template.cue` and append below elements to this exported Cue definition of the JSON:
|
||||
Open `cloudformation/template.cue` and append below elements with copied Cue definition of the JSON:
|
||||
|
||||
```cue title="todoapp/cloudformation/template.cue"
|
||||
```cue title="todoapp/cue.mod/cloudformation/template.cue"
|
||||
// Add this line, to make it part to the cloudformation template
|
||||
package cloudformation
|
||||
import "encoding/json"
|
||||
@ -515,23 +500,17 @@ template: json.Marshal(s3)
|
||||
|
||||
We're using the built-in `json.Marshal` function to convert CUE back to JSON, so Cloudformation still receives the same template.
|
||||
|
||||
You need to copy the changes to the plan for Dagger to reference them
|
||||
You can inspect the configuration using `dagger query -e cloudformation` to verify it produces the same manifest:
|
||||
|
||||
```shell
|
||||
cp cloudformation/*.cue .dagger/env/cloudformation/plan/
|
||||
```
|
||||
|
||||
You can inspect the configuration using `dagger query` to verify it produces the same manifest:
|
||||
|
||||
```shell
|
||||
dagger query template -f text
|
||||
dagger query template -f text -e cloudformation
|
||||
```
|
||||
|
||||
Now that the template is defined in CUE, we can use the language to add more flexibility to our template.
|
||||
|
||||
Let's define a re-usable `#Deployment` definition in `todoapp/cloudformation/deployment.cue`:
|
||||
|
||||
```cue title="todoapp/cloudformation/deployment.cue"
|
||||
```cue title="todoapp/cue.mod/cloudformation/deployment.cue"
|
||||
package cloudformation
|
||||
|
||||
#Deployment: {
|
||||
@ -619,7 +598,7 @@ package cloudformation
|
||||
|
||||
`template.cue` can be rewritten as follows:
|
||||
|
||||
```cue title="todoapp/cloudformation/template.cue"
|
||||
```cue title="todoapp/cue.mod/cloudformation/template.cue"
|
||||
package cloudformation
|
||||
import "encoding/json"
|
||||
|
||||
@ -636,19 +615,13 @@ Verify template
|
||||
Double-checks at the template level can be done with manual uploads on Cloudformation's web interface or by executing the below command locally:
|
||||
|
||||
```shell
|
||||
tmpfile=$(mktemp ./tmp.XXXXXX) && dagger query template -f text > "$tmpfile" && aws cloudformation validate-template --template-body file://"$tmpfile" ; rm "$tmpfile"
|
||||
```
|
||||
|
||||
Update the plan
|
||||
|
||||
```shell
|
||||
cp cloudformation/*.cue .dagger/env/cloudformation/plan/
|
||||
tmpfile=$(mktemp ./tmp.XXXXXX) && dagger query template -f text -e cloudformation > "$tmpfile" && aws cloudformation validate-template --template-body file://"$tmpfile" ; rm "$tmpfile"
|
||||
```
|
||||
|
||||
Let's make sure it yields the same result:
|
||||
|
||||
```shell
|
||||
dagger query template -f text
|
||||
dagger query template -f text -e cloudformation
|
||||
# {
|
||||
# "description": "Name S3 Bucket",
|
||||
# "indexDocument": "index.html",
|
||||
@ -667,7 +640,7 @@ dagger query template -f text
|
||||
And we can now deploy it:
|
||||
|
||||
```shell
|
||||
dagger up
|
||||
dagger up -e cloudformation
|
||||
#2:22PM INF suffix.out | computing
|
||||
#2:22PM INF suffix.out | completed duration=200ms
|
||||
#2:22PM INF cfnStack.outputs | computing
|
||||
@ -683,7 +656,7 @@ dagger up
|
||||
Name of the deployed bucket:
|
||||
|
||||
```shell
|
||||
dagger output list
|
||||
dagger output list -e cloudformation
|
||||
# Output Value Description
|
||||
# suffix.out "ucwcecwwshdl" generated random string
|
||||
# cfnStack.outputs.Name "arn:aws:s3:::stack-ucwcecwwshdl-s3bucket-gaqmj8rzsl08" -
|
||||
|
||||
Reference in New Issue
Block a user