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aec-cli-2.7.2
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AWS EC2 CLI
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aec-cli-2.7.2 |
| نام | aec-cli |
| نسخه کتابخانه | 2.7.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/aec-cli/ |
| مجوز | MIT License Copyright (c) 2019 SEEK Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
# AWS EC2 CLI
[](https://github.com/seek-oss/aec/actions/workflows/pythonapp.yml)
[](https://pypi.org/project/aec-cli/)
_"Instead of using the console, use the cli!"_.
Command-line tools for managing pet EC2 instances by name.
Defaults only need to be supplied once via a [config file](src/aec/config-example/ec2.toml), which supports multiple profiles for different regions or AWS accounts.
For examples see:
- [EC2](docs/ec2.md) - manipulate EC2 instances by name, and launch them with tags and EBS volumes of any size, as per the settings in the configuration file (subnet, security group etc).
- [AMI](docs/ami.md) - describe, delete and share images
- [Compute Optimizer](docs/compute-optimizer.md) - show over-provisioned instances
- [SSM](docs/ssm.md) - run commands on instances, and [ssm patch management](https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-patch.html)
## Prerequisites
- python 3.7+
- Ubuntu 20.04: `sudo apt install python3 python3-pip python3-dev python3-venv`
- automake:
- Ubuntu: `sudo apt install automake`
- macOS: `brew install automake`
## Install
Run the following to install the latest master version using pip:
```
pip install aec-cli
```
If you have previously installed aec, run the following to upgrade to the latest version:
```
pip install --upgrade aec-cli
```
NB: Consider using [pipx](https://github.com/pipxproject/pipx) to install aec-cli into its own isolated virtualenv.
## Configure
Before you can use aec, you will need to create the config files in `~/.aec/`. The config files contain settings for your AWS account including VPC details and additional tagging requirements.
To get started, run `aec configure example` to install the [example config files](src/aec/config-example/) and then update them as needed.
## Handy aliases
For even faster access to aec subcommands, you may like to add the following aliases to your .bashrc:
```
alias ec2='COLUMNS=$COLUMNS aec ec2'
alias ami='COLUMNS=$COLUMNS aec ami'
alias ssm='COLUMNS=$COLUMNS aec ssm'
```
`COLUMNS=$COLUMNS` will ensure output is formatted to the width of your terminal when piped.
## FAQ
### How do I use aec with other AWS profiles?
To use aec with the named profile 'production':
```
export AWS_DEFAULT_PROFILE=production
aec ec2 describe
```
## Development
Pre-reqs:
- make
- node (required for pyright)
To get started run `make install`. This will:
- install git hooks for formatting & linting on git push
- create the virtualenv
- install this package in editable mode
Then run `make` to see the options for running checks, tests etc.
## Similar projects
[wallix/awless](https://github.com/wallix/awless) is written in Go, and is an excellent substitute for awscli with
support for many AWS services. It has human friendly commands for use on the command line or in templates. Unlike `aec` its ec2 create instance command doesn't allow you to specify the EBS volume size, or add tags.
[achiku/jungle](https://github.com/achiku/jungle) is written in Python, and incorporates a smaller subset of ec2 commands and doesn't launch new instances. It does however have an ec2 ssh command. It also supports other AWS services like ELB, EMR, RDS.
نیازمندی
| مقدار | نام |
|---|---|
| ==1.24.41 | boto3 |
| ==5.9.0 | importlib-resources |
| ==0.1.21 | pytoml |
| ==2022.1 | pytz |
| ==2.28.1 | requests |
| ==12.5.1 | rich |
| ==4.3.0 | typing-extensions |
| ~=1.7 | autoflake |
| ~=22.6 | black |
| ~=0.7 | build |
| ==1.24.41 | boto3-stubs[compute-optimizer,ec2,s3,ssm] |
| ~=3.3 | cogapp |
| ~=1.8 | darglint |
| ~=1.5.0 | docformatter[toml] |
| ==3.1.16 | moto[ec2] |
| ~=2.20 | pre-commit |
| ~=4.6 | pyfakefs |
| ~=7.1 | pytest |
| ~=3.8 | pytest-mock |
| ~=0.0.226 | ruff |
| ~=4.0 | twine |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl aec-cli-2.7.2:
pip install aec-cli-2.7.2.whl
نصب پکیج tar.gz aec-cli-2.7.2:
pip install aec-cli-2.7.2.tar.gz