google.cloud.gcp_vertexai_dataset module – Creates a GCP VertexAI.Dataset resource
Note
This module is part of the google.cloud collection (version 1.13.0).
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_vertexai_dataset.
Synopsis
- A collection of DataItems and Annotations on them.
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:
|
display_name string / required | The user-defined name of the Dataset. The name can be up to 128 characters long and can be consist of any UTF-8 characters. |
encryption_spec dictionary | Customer-managed encryption key spec for a Dataset. If set, this Dataset and all sub-resources of this Dataset will be secured by this key. |
|
kms_key_name string |
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created. |
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. |
labels dictionary | A set of key/value label pairs to assign to this Workflow. |
metadata_schema_uri string / required | Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/. |
project string | The Google Cloud Platform project to use. |
region string | The region of the dataset. eg us-central1. |
scopes list / elements=string | Array of scopes to be used. |
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 in GCP. Choices:
|
Notes
Note
- API Reference: https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.datasets
- Official Documentation Guide: https://cloud.google.com/vertex-ai/docs
- For authentication, you can set auth_kind using the
GCP_AUTH_KINDenv variable. - For authentication, you can set service_account_file using the
GCP_SERVICE_ACCOUNT_FILEenv variable. - For authentication, you can set service_account_contents using the
GCP_SERVICE_ACCOUNT_CONTENTSenv variable. - For authentication, you can set service_account_email using the
GCP_SERVICE_ACCOUNT_EMAILenv variable. - For authentication, you can set access_token using the
GCP_ACCESS_TOKENenv variable. - For authentication, you can set scopes using the
GCP_SCOPESenv variable. - Environment variables values will only be used if the playbook values are not set.
- The
service_account_email,service_account_file,service_account_fileandaccess_tokenoptions are mutually exclusive.
Examples
- name: Create dataset
google.cloud.gcp_vertexai_dataset:
state: present
display_name: "{{ resource_name }}"
metadata_schema_uri: "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"
region: us-central1
project: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
register: _myds
- name: Run assertions
ansible.builtin.assert:
that:
- _myds.changed == true
- name: Update dataset
google.cloud.gcp_vertexai_dataset:
state: present
display_name: "{{ resource_name }}"
metadata_schema_uri: "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"
labels:
env: test
region: us-central1
project: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
register: _myds
- name: Run assertions
ansible.builtin.assert:
that:
- _myds.changed == true
- _myds.labels | length > 0
- _myds.labels.env == "test"
- name: Destroy dataset
google.cloud.gcp_vertexai_dataset:
state: absent
display_name: "{{ resource_name }}"
metadata_schema_uri: "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml"
region: us-central1
project: "{{ gcp_project }}"
auth_kind: "{{ gcp_cred_kind }}"
service_account_file: "{{ gcp_cred_file }}"
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 |
createTime string | The timestamp of when the dataset was created in RFC3339 UTC “Zulu” format, with nanosecond resolution and up to nine fractional digits. Returned: success |
name string | The resource name of the Dataset. This value is set by Google. Returned: success |
state string | The current state of the resource. Returned: always |
updateTime string | The timestamp of when the dataset was last updated in RFC3339 UTC “Zulu” format, with nanosecond resolution and up to nine fractional digits. Returned: success |
Collection links
© 2012–2018 Michael DeHaan
© 2018–2025 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/projects/ansible/latest/collections/google/cloud/gcp_vertexai_dataset_module.html