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dda-python-terraform is a python module provide a wrapper of terraform command line tool. terraform is a tool made by Hashicorp, please refer to


pip install python-terraform


For any terraform command

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

or just call cmd method directly

from dda_python_terraform import *
t = Terraform()
return_code, stdout, stderr = t.cmd(<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 i-abcd1234
    --> <instance>.import('', '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[1][2]
      <instance>.apply(target=['[1]', '[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

Terraform Output

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


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


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


from dda_python_terraform import *
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 dda_python_terraform import *
tf = terraform(working_dir='/home/test')

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
  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

Development & mirrors

Development happens at:

Mirrors are:

For more details about our repository model see: