dbd2f13384
refactor options usage illustration
122 lines
No EOL
3.7 KiB
Markdown
122 lines
No EOL
3.7 KiB
Markdown
## Introduction
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python-terraform is a python module provide a wrapper of `terraform` command line tool.
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`terraform` is a tool made by Hashicorp, please refer to https://terraform.io/
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### Status
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[![Build Status](https://travis-ci.org/beelit94/python-terraform.svg?branch=develop)](https://travis-ci.org/beelit94/python-terraform)
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## Installation
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pip install python-terraform
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## Usage
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####For any terraform command
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from python_terraform import Terraform
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t = Terraform()
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return_code, stdout, stderr = t.<cmd_name>(*arguments, **options)
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####For any argument
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simply pass the string to arguments of the method, for example,
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terraform apply target_dir
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--> <instance>.apply('target_dir')
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terraform import aws_instance.foo i-abcd1234
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--> <instance>.import('aws_instance.foo', 'i-abcd1234')
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####For any options
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* dash to underscore
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remove first dash, and then use underscore to replace dash symbol as option name
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ex. -no-color --> no_color
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* for a simple flag option
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use ```IsFlagged/None``` as value for raising/not raising flag, for example,
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terraform taint -allow-missing
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--> <instance>.taint(allow_missing=IsFlagged)
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terraform taint
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--> <instance>.taint(allow_missing=None) or <instance>.taint()
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terraform apply -no-color
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--> <instance>.apply(no_color=IsFlagged)
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* for a boolean value option
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assign True or False, for example,
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terraform apply -refresh=true --> <instance>.apply(refresh=True)
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* if a flag could be used multiple times, assign a list to it's value
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terraform apply -target=aws_instance.foo[1] -target=aws_instance.foo[2]
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--->
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<instance>.apply(target=['aws_instance.foo[1]', 'aws_instance.foo[2]'])
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* for the "var" flag, assign dictionary to it
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terraform apply -var='a=b' -var='c=d'
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--> tf.apply(var={'a':'b', 'c':'d'})
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* if an option with None as value, it won't be used
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## Examples
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### Have a test.tf file under folder "/home/test"
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#### 1. apply with variables a=b, c=d, refresh=false, no color in the output
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In shell:
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cd /home/test
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terraform apply -var='a=b' -var='c=d' -refresh=false -no-color
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In python-terraform:
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from python_terraform import Terraform
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tf = Terraform(working_dir='/home/test')
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tf.apply(no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})
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or
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from python_terraform import Terraform
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tf = Terraform()
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tf.apply('/home/test', no_color=IsFlagged, refresh=False, var={'a':'b', 'c':'d'})
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or
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from python_terraform import Terraform
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tf = Terraform(working_dir='/home/test', variables={'a':'b', 'c':'d'})
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tf.apply(no_color=IsFlagged, refresh=False)
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#### 2. fmt command, diff=true
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In shell:
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cd /home/test
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terraform fmt -diff=true
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In python-terraform:
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from python_terraform import Terraform
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tf = terraform(working_dir='/home/test')
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tf.fmt(diff=True)
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## default values
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for apply/plan/destroy command, assign with following default value to make
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caller easier in python
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1. ```input=False```, in this case process won't hang because you missing a variable
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1. ```no_color=IsFlagged```, in this case, stdout of result is easier for parsing
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## Implementation
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IMHO, how terraform design boolean options is confusing.
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Take `input=True` and `-no-color` option of `apply` command for example,
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they're all boolean value but with different option type.
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This make api caller don't have a general rule to follow but to do
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a exhaustive method implementation which I don't prefer to.
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Therefore I end-up with using `IsFlagged` or `IsNotFlagged` as value of option
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like `-no-color` and `True/False` value reserved for option like `refresh=true`
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