A project for automated CloudCraft diagrams with AWS written with Python.

Please make sure you have python 3.6 or above installed.

To use this module, first you will need to install the dependent python packages using PIP.

Use the below command to install all required modules

pip install -r requirements.txt

This module has been organised in such a way that related function / objects are stored in a related .py file. A massive amount of comments have been used throughout to help with others understanding the approach.

The structure can be seen below:

project
|  README.MD
|  requirements.txt
|  config.json
|
└───cloudcraft
|   |  __init__.py
|   |  accounts.py
|   |  aws.py
|   |  blueprint.py
|   |  elements.py
|   |  limits.py
|   |  snapshot.py
|   |  spacial.py
|   |  utils.py
|
└───examples
|   |  example1.py
|   |  example2.py
|   |  example3.py
|   |  example4.py
|   |  example5.py
|   |  example6.py
|   |  example7.py
|
└───output
|   |  existing/
|   |  json/
|   |  modified/
|   |  pdf/

• All code used to interact with cloudcraft is stored in cloudcraft/
• All examples used to demonstrate the usage of the functions are stored in examples/
• Configuration for your credentials must be made in config.json

In order to use this module, you must build from the functions provided. Take a look at the examples on guidance for using the module.

Configure this JSON file to store the following:

1. Your cloudcraft API token
2. Your cloudcraft AWS account ID.

Make sure to rename the config file from config copy.json to config.json

Write your code, or run one of the examples by dragging it to the root of the project and running it using the below command for example:

python .\\example1.py

First, we have to import the module to use all of the functions / objects:

import cloudcraft

Next, we need to load our config.json file so we can obtain credentials:

# load the config.json
json_config = cloudcraft.load_json_file('config.json')

api_key = json_config['api_key']
account_id = json_config['aws_account']

Next, we need to decide what it is we want to do with CloudCraft. In this example we will look to snapshot an AWS region and export to PDF:

# define aws region
aws_region = "ap-southeast-1"

# define export format
export_format = "pdf"

# define the filter string to use
filter_string = "" # we are using blank string as we don't want to filter

# define the excluded types 
excluded_types = ['ebs', 'lambda'] # removing EBS volumes and lambda functions

Now we have defined the parameters, we can call the snapshot_aws_region() function:

# perform the snapshot
cloudcraft.snapshot_aws_region(
    api_key=api_key,
    account_id=account_id,
    aws_region=aws_region,
    export_format=export_format,
    filter_string=filter_string,
    excluded_types=excluded_types
)

Once you have saved and run this script, you will have a PDF created under the output/pdf directory.

Open this in your browser to check the results.