CatalogUserActionsResponseApplicableTemplates

pydantic model openapi_client.models.catalog_user_actions_response_applicable_templates.CatalogUserActionsResponseApplicableTemplates

Connection templates for the requested assets. Empty when AssetType is not “dataset”, or when every requested dataset is unregistered or S3-backed and therefore not queryable.

Fields:

• analytics_tool (openapi_client.models.catalog_user_actions_response_applicable_templates_analytics_tool.CatalogUserActionsResponseApplicableTemplatesAnalyticsTool | None)

• playground (str | None)

• sample_queries (str | None)

field playground: Optional[StrictStr] = None (alias 'Playground')

SQL playground template with example statements. Present whenever templates were generated at all.

field analytics_tool: Optional[CatalogUserActionsResponseApplicableTemplatesAnalyticsTool] = None (alias 'AnalyticsTool')

field sample_queries: Optional[StrictStr] = None (alias 'SampleQueries')

Sample queries covering the requested datasets. The content varies with how many datasets were requested.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of CatalogUserActionsResponseApplicableTemplates from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of CatalogUserActionsResponseApplicableTemplates from a dict

Return type:

Optional[Self]