6fc11b313f
1. refactor default values 2. add plan method |
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python_terraform | ||
test | ||
.bumpversion.cfg | ||
.gitignore | ||
.travis.yml | ||
DESCRIPTION.rst | ||
LICENSE.txt | ||
MANIFEST.in | ||
README.md | ||
release.py | ||
requirements.txt | ||
setup.cfg | ||
setup.py | ||
tox.ini | ||
VERSION |
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/
Status
Installation
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
input=False
, in this case process won't hang because you missing a variableno_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