Noos Energy Terraform Client

A Python client wrapping up HashiCorp's Terraform Cloud API.

Installation

Package available from the PyPi repository:

$ pip install noos-tf

Usage as a library

Import the namespace within your project,

import os
import noos_tf

# Instantiate client
tf_client = noos_tf.TerraformClient()

# Authenticate client
tf_client.set_auth_header(token=os.getenv("TERRAFORM_TOKEN"))

Then query directly from the Terraform Cloud API ; as a example:

• a workspace ID:

tf_client.get_workspace_id("myOrganisation", "myWorkspace")

• the variable IDs from a given workspace:

tf_client.get_variable_ids("myOrganisation", "myWorkspace")

The library offers as well some helper functions for more involved workflows, such as:

• updating a variable value:

noos_tf.update_workspace_variable(
    "myOrganisation",
    "myWorkspace",
    os.getenv("TERRAFORM_TOKEN"),
    "myVariable",
    "new_value",
)

• running and applying a plan:

noos_tf.run_workspace_plan(
    "myOrganisation",
    "myWorkspace",
    os.getenv("TERRAFORM_TOKEN"),
    "Test run",
)

Usage as a command line tool

The above helper functions could be accessed directly from the command line.

$ noostf

Usage: noostf [--core-opts] <subcommand> [--subcommand-opts] ...

Subcommands:

  run      Run a plan in Terraform cloud.
  update   Update variable in Terraform cloud.

Development

Make sure poetry has been installed and pre-configured,

This project is shipped with a Makefile, which is ready to do basic common tasks.

$ make

help                           Display this auto-generated help message
update                         Lock and install build dependencies
clean                          Clean project from temp files / dirs
format                         Run auto-formatting linters
install                        Install build dependencies from lock file
lint                           Run python linters
test                           Run pytest with all tests
package                        Build project wheel distribution
release                        Publish wheel distribution to PyPi