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‫So let's practice using code artifacts.

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‫So to do so, I'm going to create a repository

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‫and I'll call this one Demo Repository.

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‫And optionally, we can select an upstream.

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‫So we want to pull packages from Python.

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‫So I will use this Python store.

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‫So I will click on next.

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‫And next we need to define a domain.

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‫So domain is where do we want to store the artifact data?

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‫All the repos, all the the packages data.

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‫So we choose our accounts

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‫and as you can see there's no domain in our accounts.

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‫And so therefore we need to create a domain.

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‫And this domain represents your company.

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‫So I want to name it, my-company.

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‫Additionally, for the domain

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‫where all the packages are going to be stored

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‫you need to specify a KMS key for encryption

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‫and I will just simply use the AWS managed key for this.

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‫I'll click on next.

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‫And as you can see what is being created now out of it

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‫is my demo repository,

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‫which will have one upstream repository called

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‫this pypi-store.

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‫And then out of it

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‫this upstream repository has one external connection

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‫to the public pypi store.

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‫Okay, so we're going to now create this repository.

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‫And if you go one level up

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‫now we see two repositories in here.

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‫We have the one that has an external connection

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‫which is the pypi store.

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‫It says here connected to a public repository.

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‫And then we have the demo repository that we have.

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‫Okay?

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‫As we can see, we have the pypi store

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‫as an upstream repo,

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‫and we could, for example

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‫edit the upstream repositories

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‫and add multiple ones if we wanted to.

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‫Okay. But how do we actually now

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‫leverage this demo repository.

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‫For this, we need to view the connection instruction,

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‫but let's go and open CloudShell in another tab

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‫because this is where we're going to be running

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‫our commands.

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‫So let's clear this.

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‫Okay, now let's go back into code artifact

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‫and view the connection instruction.

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‫We're going to use pip

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‫and we have two ways of doing it.

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‫The first one is that

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‫you can just use the CLI to configure pip for you.

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‫And if you try to run this command,

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‫I will show you right now

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‫I'll copy it and I will paste it in CloudShell.

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‫Because of a CloudShell bug or a code artifact bug,

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‫I'm not really sure which one it is

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‫but it says pip is not found.

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‫That's because actually pip3 is installed,

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‫but not pip.

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‫And this is just code artifact not

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‫being good at using pip3

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‫or CloudShell not installing pip,

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‫whichever it is.

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‫But this does not work for now.

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‫So what I'm going to do is the manual setup, which is good

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‫because we'll see as well how to manually set up this.

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‫So the first thing we have to do is to use code artifact

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‫to get an authorization token

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‫which is going to be authenticated to my domain,

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‫my domain owner, my region.

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‫And the idea is that we'll be able using this token

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‫to connect pip to it.

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‫So we'll export this

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‫and then if I do echo

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‫and then the actual code artifact token

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‫I can see this token has been generated.

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‫Now it's valid for 12 hours

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‫and after 12 hours it will have expired

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‫and I won't be able to connect

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‫to pip to my repository on code artifact

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‫therefore, we'll have to rerun this command.

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‫Now we can just run this pip conflict command

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‫which will not work until you actually modify the beginning

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‫of the command and use pip3.

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‫So we have pip3 config set,

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‫and now we are connecting

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‫to our code artifact repo automatically.

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‫So now if I do pip, install

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‫and response which is the name of a package,

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‫and press enter,

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‫and actually I do need to do pip3 install response.

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‫This is actually going to connect to code artifact

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‫and it's going to pull this response dependency from it.

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‫And of course, if this package depends on other things

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‫then it's going to download the rest as well

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‫which is why you see a lot of information in here.

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‫So now it's being installed and we're done very soon.

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‫And what we see now is that if you go to code artifacts,

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‫and then you refresh your packages, now you see

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‫as you can see all the packages that were pulled.

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‫So we have the response package

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‫but also any other package that response was depending upon.

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‫And this is inserted into my demo repository,

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‫but if I go into my other repo

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‫that has an external connection,

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‫as you can see, they're there as well.

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‫So because we keep one copy

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‫on the repo that has an external connection,

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‫and one copy on the repo that we connected to

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‫which is the demo repository.

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‫So if now if I click on response,

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‫I can see have version 0.5.0 which is the latest

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‫but I can for example, try to install another version.

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‫So I do == 0.4.0,

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‫and this is going to install

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‫a previous version of this package.

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‫And I go back to code artifact, I refresh this page

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‫and this can take a bit of time.

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‫Sometimes you have to wait 30 seconds,

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‫as you can see now

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‫I have version 0.5.0, and version 0.4.0

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‫now available within my demo repository

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‫which is pretty cool.

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‫So other things I want to show you is, for example

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‫around repository policy.

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‫So you can apply a repo policy at the repo level,

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‫and here we have the read-only access

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‫read and publish access or full access

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‫and we can choose the type of governance we want

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‫which will edit the policy,

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‫and then we can simply paste it in here to determine access.

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‫Other things I can do is go to my domain,

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‫click on it.

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‫As you can see, my company has two repos,

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‫but what I can do is I can apply a domain policy,

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‫and again here the example policies

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‫for contributor domain access

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‫or full domain access for an IAM principle

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‫or an organization.

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‫So this is very handy

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‫and we've basically seen how cloud artifact works.

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‫Now you can go ahead and create more repositories

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‫and then define which ones are the upstream of which,

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‫and then configure for example, Python pip

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‫to pull from them.

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‫And automatically, as you can see,

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‫dependencies will be stored in our repositories.

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‫So that's it.

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‫Now to just finish this hands on

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‫just take this repo and you delete it.

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‫You take the second repo and you delete it as well.

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‫And next, you take your domain

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‫and you can simply delete it and you're good to go.

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‫Okay, that's it for this lecture.

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‫I hope you liked it

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‫and I will see you in the next lecture.