azure_rm_ml_model_info

List ML Model resources

Collection: azure.azcollection

Full Name: azure.azcollection.azure_rm_ml_model_info

Synopsis

List ML Model resources

Parameters

Name	Type	Required	Default	Description
ad_user	string			Active Directory username. Use when authenticating with an Active Directory user rather than service principal.
adfs_authority_url	string			Azure AD authority url. Use when authenticating with Username/password, and has your own ADFS authority.
api_profile	string		`latest`	Selects an API profile to use when communicating with Azure services. Default value of C(latest) is appropriate for public clouds; future values will allow use with Azure Stack.
auth_source	string		`auto`	Controls the source of the credentials to use for authentication.
Can also be set via the C(ANSIBLE_AZURE_AUTH_SOURCE) environment variable.
When set to C(auto) (the default) the precedence is module parameters -> C(env) -> C(credential_file) -> C(cli).
When set to C(env), the credentials will be read from the environment variables.
When set to C(credential_file), it will read the profile from C(~/.azure/credentials).
When set to C(cli), the credentials will be sources from the Azure CLI profile. C(subscription_id) or the environment variable C(AZURE_SUBSCRIPTION_ID) can be used to identify the subscription ID if more than one is present otherwise the default az cli subscription is used.
When set to C(msi), the host machine must be an azure resource with an enabled MSI extension. C(subscription_id) or the environment variable C(AZURE_SUBSCRIPTION_ID) can be used to identify the subscription ID if the resource is granted access to more than one subscription, otherwise the first subscription is chosen.
The C(msi) was added in Ansible 2.6.
cert_validation_mode	string			Controls the certificate validation behavior for Azure endpoints. By default, all modules will validate the server certificate, but when an HTTPS proxy is in use, or against Azure Stack, it may be necessary to disable this behavior by passing C(ignore). Can also be set via credential file profile or the C(AZURE_CERT_VALIDATION) environment variable.
client_id	string			Azure client ID. Use when authenticating with a Service Principal or Managed Identity (msi).
Can also be set via the C(AZURE_CLIENT_ID) environment variable.
cloud_environment	string		`AzureCloud`	For cloud environments other than the US public cloud, the environment name (as defined by Azure Python SDK, eg, C(AzureChinaCloud), C(AzureUSGovernment)), or a metadata discovery endpoint URL (required for Azure Stack). Can also be set via credential file profile or the C(AZURE_CLOUD_ENVIRONMENT) environment variable.
disable_instance_discovery	bool		`false`	Determines whether or not instance discovery is performed when attempting to authenticate. Setting this to true will completely disable both instance discovery and authority validation. This functionality is intended for use in scenarios where the metadata endpoint cannot be reached such as in private clouds or Azure Stack. The process of instance discovery entails retrieving authority metadata from https://login.microsoft.com/ to validate the authority. By setting this to True, the validation of the authority is disabled. As a result, it is crucial to ensure that the configured authority host is valid and trustworthy.
Set via credential file profile or the C(AZURE_DISABLE_INSTANCE_DISCOVERY) environment variable.
label	string			Label of the model. Must be provided, if version is not provided. Mutually exclusive with version.
list_type	string			Specify if you want active, archived or all models.
log_mode	string			Parent argument.
log_path	string			Parent argument.
ml_registry	string			If provided, the command will target the registry instead of a workspace. Hence resource group and workspace won’t be required. Must be provided if ml_workspace and resource_group are not provided.
ml_workspace	string	yes		Name of the Azure ML workspace.
name	string			Name of the Azure ML model.
oidc_token	string			Direct OpenID Connect (OIDC) token (JWT) used for workload identity authentication.
This token is exchanged with Azure AD using OIDC federated identity.
Useful in CI systems (for example GitHub Actions, Azure DevOps) where an OIDC token is provided directly by the platform.
Can also be set via the C(AZURE_FEDERATED_TOKEN) environment variable.
oidc_token_file_path	string			Path to a file containing an OpenID Connect (OIDC) token (JWT) used for workload identity authentication.
The file must contain only raw token.
This method is commonly used in platforms that materialize OIDC tokens as files
Can also be set via the C(AZURE_FEDERATED_TOKEN_FILE) environment variable.
password	string			Active Directory user password. Use when authenticating with an Active Directory user rather than service principal.
profile	string			Security profile found in ~/.azure/credentials file.
resource_group	string	yes		Name of resource group.
secret	string			Azure client secret. Use when authenticating with a Service Principal.
stage	string			Stage of the model.
subscription_id	string			Your Azure subscription Id.
tenant	string			Azure tenant ID. Use when authenticating with a Service Principal.
thumbprint	string			The thumbprint of the private key specified in I(x509_certificate_path).
Use when authenticating with a Service Principal.
Required if I(x509_certificate_path) is defined.
version	string			Version of the model. Must be provided, if label is not provided. Mutually exclusive with label.
x509_certificate_path	string			Path to the X509 certificate used to create the service principal in PEM format.
The certificate must be appended to the private key.
Use when authenticating with a Service Principal.

Example

yaml

- name: List ML Model by name
  azure.azcollection.azure_rm_ml_model_info:
    name: MyModel
    resource_group: myResourceGroup
    ml_workspace: myMLWorkspace

- name: List Archived ML Models
  azure.azcollection.azure_rm_ml_model_info:
    resource_group: myResourceGroup
    ml_workspace: myMLWorkspace
    list_type: archived