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Released:

Python Shell Wrapper library

Project description

A flexible, easy-to-use library to integrate your Python script with Unix ecosystems.

Why yet another one?

This library comes with a few major points to use it:

• It is easy and intuitive (see examples)
• It's compatible with Python 2 (can be useful in old large systems)
• Continuous support of the library

Getting started

This library is pretty easy to use:

To run any Bash command, you need to do it like this:

For example, you want to create a new folder:

It's also possible to run a command which name is not a valid Python identifier.To do this, use Shell class as a callable instance:

When the command fails (returncode is non-zero), Shell throws a ShellException error.However, even if you didn't save a reference to your command, you still can access it.To do this, try

Installing

Simply run

Integration with development tools

Shell class now allows to list all available commands simply by

This feature enables autocomplete of commands in a few popular interfaces:

• BPython
• IPython

Extending the basic functionality

It's possible to extend the existing functionality without forking the project.The library provides an interface to add a custom Command class.

Running the tests

This library contains tests written using unittest module, so just run in the project directory

Also it's possible to run tests using Tox:

Supported environments:

• py27
• py35
• py36
• py37
• py38
• coverage (using Python 3)
• coverage (using Python 2.7)
• pep8 (style checking)

Other old versions of Python (e.g. 2.6, 3.4, etc) will never be supported. However, you always can implement such support in your forks.

Test coverage is one of the top priority for this library:

• Coverage using Python 2.7: 98%
• Coverage using Python 3.x: 96%

Documentation

Official documentation is available here.

Authors

• Alex Sokolov - Author - Albartash

Contacts

• Telegram channel with updates: @bart_tools

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

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Released:

AWS Shell

Project description

aws-shell - The interactive productivity booster for the AWS CLI

Installation

The aws-shell requires python and pip to install.You can install the aws-shell using pip:

If you are not installing into a virtualenv you can run:

Mac OS X (10.11 El Capitan) users: There is a known issue with Apple andits included python package dependencies (more info athttps://github.com/pypa/pip/issues/3165).We are investigating ways to fix this issue but in the meantime,to install the aws-shell, you can run:sudo pip install aws-shell--upgrade--ignore-installed six

Once you’ve installed the aws-shell, you can now run:

To exit the shell, press Ctrl-D.

Upgrading the aws-shell

If you want to upgrade to the latest version of the aws-shell,you can run:

You can also use this upgrade command whenever a new version of the AWS CLI isreleased that includes new services and API updates. You will then beable to use these new services and API updates in the aws-shell.

Supported Python Versions

The aws-shell works on the same python versions supported by the AWS CLI:

• 2.6.5 and greater
• 2.7.x and greater
• 3.3.x and greater
• 3.4.x and greater

Configuration

The aws-shell uses the same configuration settings as the AWS CLI.If you’ve never used the AWS CLI before, the easiest way to getstarted is to run the configure command:

For more information about configure settings, see theAWS CLI Getting Started Guide.

Basic Usage

The aws-shell accepts the same commands as the AWS CLI, except you don’tneed to provide the aws prefix. For example, here are a few commandsyou can try:

Profiles

The aws-shell supports AWS CLI profiles. You have two options to useprofiles. First, you can provide a profile when you start the aws-shell:

When you do this all the server side completion as well as CLI commandsyou run will automatically use the prod profile.

You can also change the current profile while you’re in the aws-shell:

You can also check what profile you’ve configured in the aws-shell using:

After changing your profile using the .profile dot command, allserver side completion as well as CLI commands will automatically usethe new profile you’ve configured.

Features

Auto Completion of Commands and Options

The aws-shell provides auto completion of commands andoptions as you type.

Shorthand Auto Completion

The aws-shell can also fill in an example of theshorthand syntax used for various AWS CLI options:

Server Side Auto Completion

The aws-shell also leverages boto3, the AWS SDK for Python, to auto completeserver side resources such as Amazon EC2 instance Ids, Amazon Dynamodb tablenames, AWS IAM user names, Amazon S3 bucket names, etc.

This feature is under active development. The list of supported resourcescontinues to grow.

Fuzzy Searching

Every auto completion value supports fuzzy searching. This enables you tospecify the commands, options, and values you want to run with even lesstyping. You can try typing:

• The first letter of each sub word: ec2 describe-reserved-instances-offerings-> ec2 drio
• A little bit of each word: ec2 describe-instances -> ec2 descinst
• Any part of the command: dynamodb table -> Offers all commands thatcontain the subsequence table.

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Inline Documentation

The aws-shell will automatically pull up documentation as you type commands.It will show inline documentation for CLI options. There is also a separatedocumentation panel that will show documentation for the current command oroption you are typing. Pressing F9 will toggle focus to the documentation panelallowing you to navigate it using your selected keybindings.

Fish-Style Auto Suggestions

The aws-shell supports Fish-style auto-suggestions. Use the right arrow key tocomplete a suggestion.

Command History

The aws-shell records the commands you run and writes them to~/.aws/shell/history. You can use the up and down arrow keys to scrollthrough your history.

Toolbar Options

The aws-shell has a bottom toolbar that provides several options:

• F2 toggles between fuzzy and substring matching
• F3 toggles between VI and Emacs key bindings
• F4 toggles between single and multi column auto completions
• F5 shows and hides the help documentation pane
• F9 toggles focus between the cli and documentation pane
• F10 or Ctrl-D exits the aws-shell

As you toggle options in the toolbar, your preferences are persistedto the ~/.aws/shell/awsshellrc file so that the next time you runthe aws-shell, your preferences will be restored.

Dot Commands

The aws-shell provides additional commands specific to the aws-shell.The commands are available by adding the . prefix before a command.

Python 3.9

Exiting the Shell

You can run the .exit or .quit commands to exit the shell.

Creating Shell Scripts with .edit

There are times when you may want to take a sequence of commandsyou’ve run in the aws-shell and combine them into a shell script.In addition to the command history that’s persisted to thehistory file, the aws-shell also keeps track of all the commandsyou’ve run since you first started your aws-shell session.

You can run the .edit command to open all these commands inan editor. The aws-shell will use the EDITOR environmentvariable before defaulting to notepad on Windows andvi on other platforms.

Changing Profiles with .profile

You can change the current AWS CLI profile used by the aws-shellby using the .profile dot command. If you run the .profilecommand with no arguments, the currently configured shell profilewill be printed.

.cd

You can change the current working directory of the aws-shell by usingthe .cd command:

Executing Shell Commands

The aws-shell integrates with other commands in several ways.First, you can pipe AWS CLI commands to other processes as wellas redirect output to a file:

Second, if you want to run a shell command rather than an AWS CLIcommand, you can add the ! prefix to your command:

Developer Preview Status

The aws-shell is currently in developer preview.We welcome feedback, feature requests, and bug reports.There may be backwards incompatible changes made in orderto respond to customer feedback as we continue to iterateon the aws-shell.

More Information

Below are miscellaneous links for more information:

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0.2.2

0.2.1

0.2.0

0.1.1

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0.0.1

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