Merge pull request #612 from samalba/user-manual
docs: first version of user manual
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# User Manual
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TODO
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In this part, you will learn how to deploy a simple [React](https://reactjs.org/) application. This is an introduction before you [learn how to program dagger](/programming).
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You will learn how to use the most common dagger commands.
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## Before we start
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First, you'll need to make sure [you have installed dagger on your local machine](/install).
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## Let's deploy our first application
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**Step 1**: Clone the example repository
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```sh
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git clone https://github.com/dagger/examples.git
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```
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**Step 2**: Go the todoapp directory
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`todoapp` is a simple Todo-list application written in Javascript using [React](https://reactjs.org/).
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Go to the app directory:
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```sh
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cd ./examples/todoapp
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```
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**Step 3**: Decrypt the inputs
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The example app contains encrypted secrets and other pre-configured inputs, here is how to decrypt them:
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```sh
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dagger input list || curl -sfL https://releases.dagger.io/examples/key.txt >> ~/.config/dagger/keys.txt
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```
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**Step 4**: Deploy!
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```sh
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dagger up
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```
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At the end of the deploy, you should see a list of outputs. There is one that is named `url`. This is the URL where our app has been deployed. If you go to this URL, you should see your application live!
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## Change some code and re-deploy
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This repository is already configured to deploy the code in the directory `./todoapp`, so you can change some code (or replace the app code with another react app!) and re-run the following command to re-deploy when you want your changes to be live:
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```sh
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dagger up
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```
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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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### The Environment
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An Environment holds the entire deployment configuration.
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You can list existing environment from the `./todoapp` directory:
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```sh
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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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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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### 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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```sh
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ls -l .dagger/env/s3/plan/
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```
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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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```sh
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dagger input list
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```
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The inputs are persisted inside the `.dagger` directory and pushed to your git repository. That's why this example application worked out of the box.
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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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```sh
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dagger output list
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```
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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](/programming).
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