Schematics Python Example

schematics-python.md

import os
import sys
import json 
from pprint import pprint
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from ibm_cloud_sdk_core import ApiException
from ibm_schematics.schematics_v1 import SchematicsV1

# Set up IAM authenticator
authenticator = IAMAuthenticator(os.environ.get('IBMCLOUD_API_KEY'))

# Set up Schematics service client and endpoint 
schematics_service = SchematicsV1(authenticator=authenticator)
schematics_service.set_service_url('https://us.schematics.cloud.ibm.com')

# Fetch the workspace ID and refresh token from environment variables
workspaceId = os.environ.get('WORKSPACE_ID')
refreshToken = os.environ.get('REFRESH_TOKEN')

# Construct the terraform taint command model
terraform_command_model = {
  'command': 'taint',
  'command_params': 'random_integer.location',
  'command_name': 'location-taint',
  'command_desc': 'Run taint on location resource',
}

workspace_activity_command_result = schematics_service.run_workspace_commands(
    w_id=workspaceId,
    refresh_token=refreshToken,
    commands=[terraform_command_model],
    operation_name='taint-location',
    description='taint-location'
).get_result()

taintActivityId = workspace_activity_command_result.get('activityid')
pprint(taintActivityId)

job = schematics_service.get_job(job_id=taintActivityId).get_result()
jobStatus = job.get('status')
pprint(jobStatus)

Next step is to set up a while loop for jobStatus = Pending and then when completed, run the plan, repeat the logic check, and then apply the plan.