Terraform Cloud API Python Client
Try to offer a good python object interface to Terraform Cloud API.
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Quick start
from tfc_client import TFCClient
from tfc_client.enums import (
RunStatus,
NotificationTrigger,
NotificationsDestinationType,
)
from tfc_client.models import VCSRepoModel
client = TFCClient(token="WXDFR3ZSDFGYTdftredfgtre")
my_org = client.get("organization", id="myorg")
my_ws = client.get("workspace", id="ws-gvcdr54dfd")
my_run = client.get("run", id="run-wvfgkdlz")
my_var = client.get("var", id="var-vcerjvjk")
my_ws = my_org.workspace(name="my_workspace")
my_sshkey = my_org.create(
"ssh-key",
name="my-ssh-key,
value="-----BEGIN RSA PRIVATE KEY-----\nMIIEowIBAAKCAQEAm6+JVgl...",
)
# To retreive all workspaces:
for ws in my_org.workspaces:
print(ws.name)
# To retreive a subset of workspaces:
for ws in my_org.workspaces_search(search="my_"):
print(ws.name)
# If you need to retreive all workspaces with associated current-run info efficiently (in one api call):
for ws in my_org.workspaces_search(include="current-run"):
print(f"{ws.name} -> {ws.current_run.status}")
# To create a workspace linked with a github repository
# To create the binding between TFC and GitHub (to create a oauth_token_id):
# See: https://www.terraform.io/docs/cloud/vcs/github.html
# First: Create the repository object:
vcs_repo = VCSRepoModel(
identifier="github/repo",
oauth_token_id="ot-fgtredfgtr",
branch="master",
default_branch=True,
)
# Finally: Send the workspace object to TFC API:
my_ws = my_org.create(
"workspace",
name="my_workspace_test",
terraform_version="0.11.10",
working_directory="",
vcs_repo=vcs_repo,
source_name="TFC Python Client",
source_url="https://pypi.org/project/tfc-client/"
)
# Assign a ssh-key to the workspace:
my_ws.assign("ssh-key", my_sshkey)
# Unassign it with:
# my_ws.unassign("ssh-key")
# Create a Notification configuration
my_notification = new_ws.create(
"notification-configuration",
enabled=True,
name="MyNotif",
url="https://httpstat.us/200",
destination_type=NotificationsDestinationType.generic,
token="TestToken",
triggers=[NotificationTrigger.created],
)
# Launch a run on a workspace:
my_run = my_ws.create("run", message="Run run run")
# Wait for the run plan execution
if my_run.wait_plan(timeout=200, progress_callback=lambda run, duration: print(f"{run.id} status is {run.status}")):
print(f"{my_run.id} reached the target status ({my_run.status})")
# Display log of the plan (with ANSI color)
print(my_run.plan.log_colored)
else:
print(f"{my_run.id} is pending. Don't wait...")
if RunStatus(my_run.status) == RunStatus.planned:
# Launch the Apply
my_run.do_apply(comment="Apply !")
# Wait for the run apply execution
if my_run.wait_apply(timeout=200, progress_callback=lambda run, duration: print(f"{run.id} status is {run.status}")):
print(f"{my_run.id} reached the target status ({my_run.status})")
# Display log of the apply (with ANSI color)
print(my_run.apply.log_colored)
else:
print(f"{my_run.id} is pending. Don't wait...")
# To retreive all runs of a workspace:
for run in my_ws.runs:
print(f"{run.id}: {run.status}")
# Delete the workspace
my_org.delete(my_ws)
Current coverage of the TFC API
Currently the following endpoints are supported: