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/

pip install python-terraform

from python_terraform import *
t = Terraform()
return_code, stdout, stderr = t.<cmd_name>(*arguments, **options)

Note: method name same as reserved keyword like import won't be accepted by python interpreter, to be able to call the method, you could call cmd_name by adding _cmd after command name, for example, import here could be called by

from python_terraform import *
t = Terraform()
return_code, stdout, stderr = t.import_cmd(*arguments, **options)

or just call cmd method directly

from python_terraform import *
t = Terraform()
return_code, stdout, stderr = t.cmd(<cmd_name>, *arguments, **options)

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')

• 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

By default, stdout and stderr are captured and returned. This causes the application to appear to hang. To print terraform output in real time, provide the capture_output option with any value other than None. This will cause the output of terraform to be printed to the terminal in real time. The value of stdout and stderr below will be None.

from python_terraform import Terraform
t = Terraform()
return_code, stdout, stderr = t.<cmd_name>(capture_output=False)

In shell:

cd /home/test
terraform apply -var='a=b' -var='c=d' -refresh=false -no-color

In python-terraform:

from python_terraform import *
tf = Terraform(working_dir='/home/test')
tf.apply(no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})

or

from python_terraform import *
tf = Terraform()
tf.apply('/home/test', no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})

or

from python_terraform import *
tf = Terraform(working_dir='/home/test', variables={'a':'b', 'c':'d'})
tf.apply(no_color=IsFlagged, refresh=False)

In shell:

cd /home/test
terraform fmt -diff=true 

In python-terraform:

from python_terraform import *
tf = terraform(working_dir='/home/test')
tf.fmt(diff=True)

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
2. no_color=IsFlagged, in this case, stdout of result is easier for parsing

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