IBM Cloud Docs
Creating a workspace

Creating a workspace

With IBM Cloud® Schematics workspaces, you can manage the Terraform-based templates to create and manage IBM Cloud resources. A workspace allows you to view and update configuration properties, view the list of resources that are provisioned through the workspace, and clean up resources if and when needed.

Creating a workspace using the UI

  1. Log in to the IBM Cloud catalog by using your unique credentials.
  2. In the Software section, select Compute and then select the IBM Spectrum LSF tile.
  3. In the Configure your workspace section:
    • Specify the Name for your Schematics workspace
    • Select a Resource group
    • Define any Tags that you want to associate with the resources provisioned through the offering. The tags can later be used to query the resources in the IBM Cloud console.
  4. In the Set the deployment values section, specify the values for the required properties: api_key, ibm_customer_number, remote_allowed_ips, ssh_key_name, and zone.
  5. Expand the Parameters with default values section, and review it to determine whether you need to override any of the default values provided for the configuration properties.
  6. Review and accept the IBM Spectrum LSF license terms and conditions in the order summary.
  7. Click Install. The Schematics workspace is created with the name you specified. You can see the list of workspaces in View the existing installations. If the workspace creation is successful, the Apply Plan action is started to trigger the deployment of the respective IBM Cloud VPC resources in your IBM Cloud account that are linked with the api_key.
  8. You can also review the status of your deployment process by identifying the workspace name in the View the existing installations section. When you click a record in View the existing installations section, you are taken to the Schematics workspace view.

Next steps

After you've successfully created a workspace, you can begin Generating a plan to validate all of the configuration properties.

Before you begin

Before you get started, make sure that you've completed the prerequisites found in Setting up the IBM Cloud Schematics CLI.

Creating a workspace using the CLI

The first step when using Schematics is to create a workspace with the specific configuration parameters defined in the corresponding Terraform source code.

Use the following CLI command to create a workspace with your config.json file. Make sure that the config.json file exists in the directory where you run the command.

ibmcloud schematics workspace new -f hpc_workspace_config.json --github-token GITHUB_TOKEN

The --github-token parameter is optional and only needed if you are using a private git repository. If you are using the IBM Cloud public GitHub repository, you do not need to provide it.

Listing available workspaces

You can list the workspaces in your account by using the following command:

ibmcloud schematics workspace list

Example response with workspace details:

Name                ID                                           Description           Status         Frozen
spectrum-lsf-test   us-east.workspace.bcc-lsf-test.7cbc3f6b      Sample workspace      INACTIVE       False

Retrieving workspace details

You can retrieve the details of an existing workspace, including the values of all input variables, by running the following command:

ibmcloud schematics workspace get --id WORKSPACE_ID [--output OUTPUT][--json]

Updating a workspace

You can update the details for an existing workspace, such as the workspace name, variables, or source control URL by running the following command:

ibmcloud schematics workspace update --id WORKSPACE_ID --file FILE_NAME [--github-token GITHUB_TOKEN]

To provision or modify IBM Cloud resources, you can run the command ibmcloud schematics plan command. For more information, see the IBM Cloud Schematics CLI reference.

Next steps

After you've successfully created a workspace, you can begin Generating a plan to validate all of the configuration properties.

Before you begin

Before you get started, make sure that you've completed the prerequisites found in Setting up the IBM Cloud Schematics API.

Creating a workspace using the API

  1. To create a workspace by using the IBM Cloud Schematics Python APIs, create a Python file and provide a name of your choice, for example, schematics_create_workspace.py.
  2. Copy and paste the Create a Schematics workspace using Python API example request to your Python file.
  3. Change the following parameters as part of the request:
    • Replace your IBM Cloud API key to the authenticator = IAMAuthenticator('<ibm-api-key>') variable.
    • Change the API endpoint to the endpoint mentioned in API endpoints according to the location that you want your Schematics workspace to reside, for example, schematics_service.set_service_url('https://us.schematics.cloud.ibm.com').
    • Provide environment values that you want to have in the form of a key and value pair, such as [{ 'Environment': 'hpc-dev-cluster' }]
    • Change the folder location variable template_source_data_request_model['folder'] to the folder name inside your GitHub repository where your Terraform files reside. If the Terraform files exist in the base location of your repository, then set this variable to template_source_data_request_model['folder'] = ' '; otherwise, mention the folder name in the template_source_data_request_model['folder'] variable.
    • Change the template_source_data_request_model['type'] variable to the Terraform version that you are using to create IBM Cloud resources such as terraform_v1.5. Ensure that your Terraform templates are compatible with the version that you are mentioning in this field.
    • Provide your GitHub or GitLab Repository HTTPS URL where your Terraform files reside in the template_repo_request_model['url'] variable. If you are using the public repository that is provided by IBM Cloud, then set this variable as template_repo_request_model['url'] = 'https://github.com/IBM-Cloud/hpc-cluster-lsf'; otherwise, set it to the private repository you are using.
  4. Inside the schematics_service.create_workspace function, provide the following parameters:
    • Provide an optional description.
    • Provide a name to identify your Schematics workspace, for example, terraform-dev-workspace.
    • Change the type parameter to the Terraform version that you are using to create IBM Cloud resources, for example, terraform_v1.5.
    • Change the location to a region where your Schematics workspace needs to be created, for example, us-south.
    • Change the resource group to the resource group where your resources should be grouped, for example, Default for a default resource group.
    • If you are using a private GitHub repository, provide your personal GitHub access token that you set up in Setting up the IBM Cloud Schematics prerequisites in the x_github_token= "<github-api-token>" parameter. If you are using the public repository that is provided by IBM Cloud, you do not need to specify this parameter.
    • Optional: Provide the tags if you want to filter resources by using the tag.
  5. Run the Python script by using python3 <python-file-name> to create a Schematics workspace in the IBM Cloud.
  6. You get a successful response if the parameters passed as part of the request are valid and you should be able to see the Schematics workspace that you created in the IBM Cloud console. If you don’t get a successful response, the error response contains the errors that you need to resolve. Resolve those errors and run the script until you are able to get a valid response and create a workspace.
  7. Optional: If you want to add one of the variables such as base_name with the value lsf-test when you create a workspace, provide the values in the following parameters:
    • workspace_variable_request_model = {}
    • workspace_variable_request_model['name'] = 'base_name'
    • workspace_variable_request_model['value'] = 'lsf-test'
  8. If you want to update multiple values at the same time, follow the steps for Updating variables with Schematics API.

Example Python request

The Python request is a generic example. Versioning and deployment values are subject to change due to frequent code updates.


# Create a Schematics workspace using Python API

import json, logging

from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
from ibm_schematics.schematics_v1 import SchematicsV1

logging.basicConfig()
logging.root.setLevel(logging.NOTSET)
logging.basicConfig(level=logging.NOTSET)

authenticator = IAMAuthenticator('')

schematics_service = SchematicsV1(authenticator = authenticator)

schematics_service.set_service_url('https://us.schematics.cloud.ibm.com')

template_source_data_request_model = {}
template_source_data_request_model['env_values'] = [
{
"name": "TF_CLI_ARGS_plan",
"value": "-parallelism=250",
},
{
"name": "TF_CLI_ARGS_apply",
"value": "-parallelism=250"
}
]
template_source_data_request_model['folder'] = ''
template_source_data_request_model['type'] = 'terraform_v1.5'
template_source_data_request_model['variablestore'] = [
{
"name": "ssh_key_name",
"value": "lsf-bcc-key",
},
{
"name": "ibm_customer_number",
"value": ""
}]

template_repo_request_model = {}
template_repo_request_model['url'] = 'https://github.com/IBM-Cloud/hpc-cluster-lsf'
template_repo_request_model['branch'] = ""

logging.info("Started Creating Schematic Workspace")

workspace_response = schematics_service.create_workspace(
description="HPC Cluster schematic workspace using API",
name="Sample Schematic API workspace",
template_data=[template_source_data_request_model],
template_repo=template_repo_request_model,
type=['terraform_v1.5'],
location="us-south",
resource_group="Default",
tags=[""]
).get_result()

print(json.dumps(workspace_response, indent = 2))

Example Python response

The Python response is a generic example. Versioning and deployment values are subject to change due to frequent code updates.

INFO:root:Started Creating Schematic Workspace
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): iam.cloud.ibm.com:443
DEBUG:urllib3.connectionpool:https://iam.cloud.ibm.com:443 "POST /identity/token HTTP/1.1" 200 1086
DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): us.schematics.cloud.ibm.com:443
DEBUG:urllib3.connectionpool:https://us.schematics.cloud.ibm.com:443 "POST /v1/workspaces HTTP/1.1" 201 1974
INFO:root:Completed Creating Schematic Workspace
{
"id": "us-south.workspace.Sample-Schematic-API-workspace.341cedd5",
"name": "Sample Schematic API workspace",
"crn": "crn:v1:bluemix:public:schematics:us-south:a/77efe1030c00b5c89cfd08648d3480bf:6f457fa4-4c59-4a8d-be69-483f16f8f200:workspace:us-south.workspace.Sample-Schematic-API-workspace.341cedd5",
"type": [
"terraform_v1.5"
],
"description": "HPC Cluster schematic workspace using API",
"resource_group": "Default",
"location": "us-south",
"tags": [
""
],
"created_at": "2021-09-15T13:01:19.944980389Z",
"created_by": "xxxxxx",
"status": "DRAFT",
"failure_reason": "",
"workspace_status_msg": {
"status_code": "",
"status_msg": ""
},
"workspace_status": {
"frozen": false,
"locked": false
},
"template_repo": {
"url": "https://github.com/IBM-Cloud/hpc-cluster-lsf",
"commit_id": "",
"full_url": "https://github.com/IBM-Cloud/hpc-cluster-lsf",
"has_uploadedgitrepotar": false
},
"template_data": [
{
"id": "3e68db7f-0bea-4d",
"folder": "",
"compact": false,
"type": "terraform_v1.5",
"values_url": "https://us.schematics.cloud.ibm.com/v1/workspaces/us-south.workspace.Sample-Schematic-API-workspace.341cedd5/template_data/3e68db7f-0bea-4d/values",
"values": "",
"variablestore": [
{
"name": "ssh_key_name",
"secure": false,
"value": "lsf-bcc-key",
"type": "",
"description": ""
},
{
"name": "ibm_customer_number",
"secure": true,
"value": "",
"type": "",
"description": ""
}
],
"has_githubtoken": false
}
],
"runtime_data": [
{
"id": "3e68db7f-0bea-4d",
"engine_name": "terraform",
"engine_version": "v0.14.11",
"state_store_url": "https://us.schematics.cloud.ibm.com/v1/workspaces/us-south.workspace.Sample-Schematic-API-workspace.341cedd5/runtime_data/3e68db7f-0bea-4d/state_store",
"log_store_url": "https://us.schematics.cloud.ibm.com/v1/workspaces/us-south.workspace.Sample-Schematic-API-workspace.341cedd5/runtime_data/3e68db7f-0bea-4d/log_store"
}
],
"shared_data": {
"resource_group_id": ""
},
"applied_shareddata_ids": null,
"updated_at": "0001-01-01T00:00:00Z",
"last_health_check_at": "0001-01-01T00:00:00Z",
"cart_id": ""
}
 INFO:root:Completed Creating Schematic Workspace

Next steps

After you've successfully created a workspace, you can begin Generating a plan to validate all of the configuration properties.