google.cloud.gcp_colab_notebook_execution module – Manages a Colab.NotebookExecution resource

Note

This module is part of the google.cloud collection (version 1.15.0).

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

To install it, use: ansible-galaxy collection install google.cloud. You need further requirements to be able to use this module, see Requirements for details.

To use it in a playbook, specify: google.cloud.gcp_colab_notebook_execution.

Synopsis 

‘An instance of a notebook Execution’

Requirements 

The below requirements are needed on the host that executes this module.

python >= 3.8
requests >= 2.18.4
google-auth >= 2.25.1

Parameters 

Parameter	Comments
access_token string	The access token used to authenticate.
auth_kind string / required	The type of credential used. Choices: `"accesstoken"` `"application"` `"machineaccount"` `"serviceaccount"`
custom_environment_spec dictionary	Compute configuration to use for an execution job.
machine_spec dictionary	‘The machine configuration of the runtime.’.
accelerator_count integer	The number of accelerators used by the runtime.
accelerator_type string	The type of hardware accelerator used by the runtime. If specified, acceleratorCount must also be specified.
machine_type string	The Compute Engine machine type selected for the runtime.
network_spec dictionary	The network configuration for the runtime.
enable_internet_access boolean	Enable public internet access for the runtime. Choices: `false` `true`
network string	The name of the VPC that this runtime is in.
subnetwork string	The name of the subnetwork that this runtime is in.
persistent_disk_spec dictionary	The configuration for the data disk of the runtime.
disk_size_gb string	The disk size of the runtime in GB. If specified, the diskType must also be specified. The minimum size is 10GB and the maximum is 65536GB.
disk_type string	The type of the persistent disk.
shielded_instance_config dictionary	Shielded VM configuration.
enable_integrity_monitoring boolean	Defines whether the instance has integrity monitoring enabled. Enables monitoring and attestation of the boot integrity of the instance. The attestation is performed against the integrity policy baseline. This baseline is initially derived from the implicitly trusted boot image when the instance is created. Enabled by default. Choices: `false` `true`
enable_secure_boot boolean	Defines whether the instance has Secure Boot enabled. Secure Boot helps ensure that the system only runs authentic software by verifying the digital signature of all boot components, and halting the boot process if signature verification fails. Disabled by default. Choices: `false` `true`
enable_vtpm boolean	Defines whether the instance has the vTPM enabled. Enabled by default. Choices: `false` `true`
dataform_repository_source dictionary	The Dataform Repository containing the input notebook.
commit_sha string	The commit SHA to read repository with. If unset, the file will be read at HEAD.
dataform_repository_resource_name string / required	The resource name of the Dataform Repository.
direct_notebook_source dictionary	The content of the input notebook in ipynb format.
content string / required	The base64-encoded contents of the input notebook file.
display_name string / required	The display name of the Notebook Execution.
env_type string	Specifies which Ansible environment you’re running this module within. This should not be set unless you know what you’re doing. This only alters the User Agent string for any API requests.
execution_timeout string	Max running time of the execution job in seconds (default 86400s / 24 hrs).
execution_user string	The user email to run the execution as.
gcs_notebook_source dictionary	The Cloud Storage uri for the input notebook.
generation string	The version of the Cloud Storage object to read. If unset, the current version of the object is read. See https://cloud.google.com/storage/docs/metadata#generation-number.
uri string / required	The Cloud Storage uri pointing to the ipynb file.
gcs_output_uri string / required	The Cloud Storage location to upload the result to. Format:`gs://bucket-name`.
location string / required	The location for the resource: https://cloud.google.com/colab/docs/locations.
notebook_execution_job_id string	User specified ID for the Notebook Execution Job.
notebook_runtime_template_resource_name string	The NotebookRuntimeTemplate to source compute configuration from.
project string	The Google Cloud Platform project to use.
scopes list / elements=string	Array of scopes to be used.
service_account string	The service account to run the execution as.
service_account_contents jsonarg	The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.
service_account_email string	An optional service account email address if machineaccount is selected and the user does not wish to use the default email.
service_account_file path	The path of a Service Account JSON file if serviceaccount is selected as type.
state string	Whether the resource should exist. Choices: `"present"` ← (default) `"absent"`
workbench_runtime dictionary	Configuration for a Workbench Instances-based environment.
vm_image dictionary / required	Custom Compute Engine VM image for the Workbench instance.
family string	Use this VM image family to find the image; the newest image in this family will be used.
name string	Use VM image name to find the image.
project string	The name of the Google Cloud project that this VM image belongs to. Format: {project_id}.

Notes 

Note

API Reference: https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.notebookExecutionJobs
Schedule a notebook run Guide: https://cloud.google.com/colab/docs/schedule-notebook-run
For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.
For authentication, you can set service_account_file using the GCP_SERVICE_ACCOUNT_FILE env variable.
For authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS env variable.
For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
For authentication, you can set access_token using the GCP_ACCESS_TOKEN env variable.
For authentication, you can set scopes using the GCP_SCOPES env variable.
Environment variables values will only be used if the playbook values are not set.
The service_account_email, service_account_file, service_account_file and access_token options are mutually exclusive.

Examples 

- name: Create Basic Notebook Execution
  vars:
    nb_config:
      cells:
        - cell_type: code
          execution_count: null
          metadata: {}
          outputs: []
          source:
            - print('Hello, World!')
      metadata:
        kernelspec:
          display_name: Python 3
          language: python
          name: python3
        language_info:
          codemirror_mode:
            name: ipython
            version: 3
          file_extension: .py
          mimetype: text/x-python
          name: python
          nbconvert_exporter: python
          pygments_lexer: ipython3
          version: 3.8.5
      nbformat: 4
      nbformat_minor: 4
  google.cloud.gcp_colab_notebook_execution:
    state: present
    display_name: my-notebook-execution
    location: us-central1
    direct_notebook_source:
      content: "{{ nb_config | to_json | b64encode }}"
    notebook_runtime_template_resource_name: projects/my-project/locations/us-central1/notebookRuntimeTemplates/my-runtime-template
    gcs_output_uri: gs://my-bucket/output/

################################################################################

- name: Create Notebook Execution With Custom Environment
  vars:
    nb_config:
      cells:
        - cell_type: code
          execution_count: null
          metadata: {}
          outputs: []
          source:
            - print('Hello, World!')
      metadata:
        kernelspec:
          display_name: Python 3
          language: python
          name: python3
        language_info:
          codemirror_mode:
            name: ipython
            version: 3
          file_extension: .py
          mimetype: text/x-python
          name: python
          nbconvert_exporter: python
          pygments_lexer: ipython3
          version: 3.8.5
      nbformat: 4
      nbformat_minor: 4
  google.cloud.gcp_colab_notebook_execution:
    state: present
    display_name: my-notebook-execution
    location: us-central1
    direct_notebook_source:
      content: "{{ nb_config | to_json | b64encode }}"
    notebook_runtime_template_resource_name: projects/my-project/locations/us-central1/notebookRuntimeTemplates/my-runtime-template
    custom_environment_spec:
      machine_spec:
        machine_type: n1-standard-4
        accelerator_type: NVIDIA_TESLA_T4
        accelerator_count: 1
      persistent_disk_spec:
        disk_type: pd-standard
        disk_size_gb: 100
      network_spec:
        enable_internet_access: true
        network: "projects/my-project/global/networks/my-network"
    gcs_output_uri: gs://my-bucket/output/

################################################################################

- name: Create Notebook Execution With Dataform Repository Source
  google.cloud.gcp_colab_notebook_execution:
    state: present
    display_name: my-notebook-execution
    location: us-central1
    dataform_repository_source:
      commit_sha: deadbeef
      dataform_repository_resource_name: projects/my-project/locations/us-central1/dataform/repositories/my-dataform-repository
    notebook_runtime_template_resource_name: projects/my-project/locations/us-central1/notebookRuntimeTemplates/my-runtime-template
    gcs_output_uri: gs://my-bucket/output/

Return Values 

Common return values are documented here, the following are the fields unique to this module:

Key	Description
changed boolean	Whether the resource was changed. Returned: always
state string	The current state of the resource. Returned: always

Authors

Google Inc. (@googlecloudplatform)

google.cloud.gcp_colab_notebook_execution module – Manages a Colab.NotebookExecution resource

Synopsis

Requirements

Parameters

Notes

Examples

Return Values