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aws-cli

Requirements

The AWS-CLI package works on Python versions:

  • 3.8.x and greater
  • 3.9.x and greater
  • 3.10.x and greater
  • 3.11.x and greater
  • 3.12.x and greater

Installation

Installation of the AWS CLI and its dependencies use a range of packaging features provided by pip and setuptools. To ensure smooth installation, it's recommended to use:

  • pip: 9.0.2 or greater
  • setuptools: 36.2.0 or greater

The safest way to install the AWS CLI is to use pip in a virtualenv:

$ python -m pip install awscli

or, if you are not installing in a virtualenv, to install globally:

$ sudo python -m pip install awscli

or for your user:

$ python -m pip install --user awscli

If you have the aws-cli package installed and want to upgrade to the latest version, you can run:

$ python -m pip install --upgrade awscli

This will install the aws-cli package as well as all dependencies.

On macOS, if you see an error regarding the version of six that came with distutils in El Capitan, use the --ignore-installed option:

$ sudo python -m pip install awscli --ignore-installed six

On Linux and Mac OS, the AWS CLI can be installed using a bundled installer. The AWS CLI can also be installed on Windows via an MSI Installer.

If you want to run the develop branch of the AWS CLI, see the Development Version section of the contributing guide.

See the installation section of the AWS CLI User Guide for more information.

Configuration

Before using the AWS CLI, you need to configure your AWS credentials. You can do this in several ways:

  • Configuration command
  • Environment variables
  • Shared credentials file
  • Config file
  • IAM Role

The quickest way to get started is to run the aws configure command:

$ aws configure
AWS Access Key ID: MYACCESSKEY
AWS Secret Access Key: MYSECRETKEY
Default region name [us-west-2]: us-west-2
Default output format [None]: json

To use environment variables, do the following:

$ export AWS_ACCESS_KEY_ID=<access_key>
$ export AWS_SECRET_ACCESS_KEY=<secret_key>

To use the shared credentials file, create an INI formatted file like this:

[default]
aws_access_key_id=MYACCESSKEY
aws_secret_access_key=MYSECRETKEY

[testing]
aws_access_key_id=MYACCESSKEY
aws_secret_access_key=MYSECRETKEY

and place it in ~/.aws/credentials (or in %UserProfile%\.aws/credentials on Windows). If you wish to place the shared credentials file in a different location than the one specified above, you need to tell aws-cli where to find it. Do this by setting the appropriate environment variable:

$ export AWS_SHARED_CREDENTIALS_FILE=/path/to/shared_credentials_file

To use a config file, create an INI formatted file like this:

[default]
aws_access_key_id=<default access key>
aws_secret_access_key=<default secret key>
# Optional, to define default region for this profile.
region=us-west-1

[profile testing]
aws_access_key_id=<testing access key>
aws_secret_access_key=<testing secret key>
region=us-west-2

and place it in ~/.aws/config (or in %UserProfile%\.aws\config on Windows). If you wish to place the config file in a different location than the one specified above, you need to tell the AWS CLI where to find it. Do this by setting the appropriate environment variable:

$ export AWS_CONFIG_FILE=/path/to/config_file

As you can see, you can have multiple profiles defined in both the shared credentials file and the configuration file. You can then specify which profile to use by using the --profile option. If no profile is specified the default profile is used.

In the config file, except for the default profile, you must prefix each config section of a profile group with profile. For example, if you have a profile named "testing" the section header would be [profile testing].

The final option for credentials is highly recommended if you are using the AWS CLI on an EC2 instance. IAM Roles are a great way to have credentials installed automatically on your instance. If you are using IAM Roles, the AWS CLI will find and use them automatically.

In addition to credentials, a number of other variables can be configured either with environment variables, configuration file entries, or both. See the AWS Tools and SDKs Shared Configuration and Credentials Reference Guide for more information.

For more information about configuration options, please refer to the AWS CLI Configuration Variables topic. You can access this topic from the AWS CLI as well by running aws help config-vars.

Basic Commands

An AWS CLI command has the following structure:

$ aws <command> <subcommand> [options and parameters]

For example, to list S3 buckets, the command would be:

$ aws s3 ls

To view help documentation, use one of the following:

$ aws help
$ aws <command> help
$ aws <command> <subcommand> help

To get the version of the AWS CLI:

$ aws --version

To turn on debugging output:

$ aws --debug <command> <subcommand>

You can read more information on the Using the AWS CLI chapter of the AWS CLI User Guide.

Command Completion

The aws-cli package includes a command completion feature for Unix-like systems. This feature is not automatically installed so you need to configure it manually. To learn more, read the AWS CLI Command completion topic.

Now we can work on our CDK Python project!

This is a blank project for CDK development with Python.

The cdk.json file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project. The initialization process also creates a virtualenv within this project, stored under the .venv directory. To create the virtualenv it assumes that there is a python3 (or python for Windows) executable in your path with access to the venv package. If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv manually.

To manually create a virtualenv on MacOS and Linux:

$ python3 -m venv .venv

After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.

$ source .venv/bin/activate

If you are a Windows platform, you would activate the virtualenv like this:

% .venv\Scripts\activate.bat

Once the virtualenv is activated, you can install the required dependencies.

$ pip install -r requirements.txt

At this point you can now synthesize the CloudFormation template for this code.

$ cdk synth

To add additional dependencies, for example other CDK libraries, just add them to your setup.py file and rerun the pip install -r requirements.txt command.

Useful commands

  • cdk ls list all stacks in the app
  • cdk synth emits the synthesized CloudFormation template
  • cdk deploy deploy this stack to your default AWS account/region
  • cdk diff compare deployed stack with current state
  • cdk docs open CDK documentation

More Resources

Enjoy!

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