Metadata-Version: 1.0
Name: wall-e
Version: 0.0.1
Summary: Clean your account AWS
Home-page: https://github.com/ismFerDev/Wall-e
Author: Ismael Fernandez
Author-email: fernandez.molina.ismael@gmail.com
License: GPLv2
Description: [![Build Status](https://travis-ci.org/ismFerDev/Wall-e.svg?branch=master)](https://travis-ci.org/ismFerDev/Wall-e)
        # Wall-e(In progress)
        &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;![Alt text](walle.jpg?raw=true "WALL-E")
        
        Tool for clean AWS objects...
        ## Install
        ```
        pip install git+https://git@github.com/ismFerDev/Wall-e.git
        ```
        
        ## How it works:
        You must have in your aws credentials your api keys like:
        
        ```
        cat ~/credentials
        [account aws-name]
        aws_access_key_id = AKIA****************
        aws_secret_access_key = ****************************************
        ```
        
        ### Enter into src directory
        ```
        cd Wall-e/src/
        ```
        
        ### Cleaning CloudFormations:
        ```
        wall-e -a your-aws-name -r cloudformation -d dust/cloudformation_dust
        ```
        
        This command will clean all cloudformations if there are not in "dust/cloudformation_dust"
        
        ### Cleaning LaunchConfigurations:
        if you launch:
        
        ```
        python wall-e.py -r autoscaling -a your-aws-name
        ```
        This command clean all your launchConfigurations.
        
        ### Cleaning your instances:
        You must have tagged your instance with tag:Name.
        
        and Run:
        
        ```
        python cli.py -r ec2 -t tag_name1 tag_name2 tag_name3 -a aws_account
        ```
        
        You will delete all instance not tagged with tag_name1 tag_name2 tag_name3 
Keywords: aws,clean,resources
Platform: UNKNOWN
