dda-python-terraform/README.md

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2015-12-31 06:48:26 +00:00
## Introduction
python-terraform is a python module provide a wrapper of `terraform` command line tool.
`terraform` is a tool made by Hashicorp, please refer to https://terraform.io/
2016-11-18 09:39:25 +00:00
### Status
[![Build Status](https://travis-ci.org/beelit94/python-terraform.svg?branch=develop)](https://travis-ci.org/beelit94/python-terraform)
2015-12-31 06:57:23 +00:00
## Installation
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pip install python-terraform
## Usage
####For any terraform command
from python_terraform import Terraform
t = Terraform()
return_code, stdout, stderr = t.<cmd_name>(*arguments, **options)
####For any argument
simply pass the string to arguments of the method, for example,
terraform apply target_dir
--> <instance>.apply('target_dir')
terraform import aws_instance.foo i-abcd1234
--> <instance>.import('aws_instance.foo', 'i-abcd1234')
####For any options
* dash to underscore
remove first dash, and then use underscore to replace dash symbol as option name
ex. -no-color --> no_color
* for a simple flag option
use ```IsFlagged/None``` as value for raising/not raising flag, for example,
terraform taint -allow-missing
--> <instance>.taint(allow_missing=IsFlagged)
terraform taint
--> <instance>.taint(allow_missing=None) or <instance>.taint()
terraform apply -no-color
--> <instance>.apply(no_color=IsFlagged)
* for a boolean value option
assign True or False, for example,
terraform apply -refresh=true --> <instance>.apply(refresh=True)
* if a flag could be used multiple times, assign a list to it's value
terraform apply -target=aws_instance.foo[1] -target=aws_instance.foo[2]
--->
<instance>.apply(target=['aws_instance.foo[1]', 'aws_instance.foo[2]'])
* for the "var" flag, assign dictionary to it
terraform apply -var='a=b' -var='c=d'
--> tf.apply(var={'a':'b', 'c':'d'})
* if an option with None as value, it won't be used
## Examples
### Have a test.tf file under folder "/home/test"
#### 1. apply with variables a=b, c=d, refresh=false, no color in the output
In shell:
cd /home/test
terraform apply -var='a=b' -var='c=d' -refresh=false -no-color
In python-terraform:
from python_terraform import Terraform
tf = Terraform(working_dir='/home/test')
tf.apply(no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})
or
from python_terraform import Terraform
tf = Terraform()
tf.apply('/home/test', no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})
or
from python_terraform import Terraform
tf = Terraform(working_dir='/home/test', variables={'a':'b', 'c':'d'})
tf.apply(no_color=IsFlagged, refresh=False)
#### 2. fmt command, diff=true
In shell:
cd /home/test
terraform fmt -diff=true
In python-terraform:
from python_terraform import Terraform
tf = terraform(working_dir='/home/test')
tf.fmt(diff=True)
## default values
for apply/plan/destroy command, assign with following default value to make
caller easier in python
1. ```input=False```, in this case process won't hang because you missing a variable
1. ```no_color=IsFlagged```, in this case, stdout of result is easier for parsing
## Implementation
IMHO, how terraform design boolean options is confusing.
Take `input=True` and `-no-color` option of `apply` command for example,
they're all boolean value but with different option type.
This make api caller don't have a general rule to follow but to do
a exhaustive method implementation which I don't prefer to.
Therefore I end-up with using `IsFlagged` or `IsNotFlagged` as value of option
like `-no-color` and `True/False` value reserved for option like `refresh=true`