catalog_workspace_content.

get_declarative_ldm

get_declarative_ldm(workspace_id: str)

Gets a logical model layout.

On CatalogDeclarativeModel user can call modify_mapped_data_source(data_source_mapping: dict) method, which substitutes data source id in datasets.

Parameters

nametypedescription
workspace_idstringWorkspace identification string e.g. "demo"

Returns

typedescription
CatalogDeclarativeModelObject Containing declarative Logical Data Model

Example

# Get declarative Logical Data Model
declarative_ldm = sdk.catalog_workspace_content.get_declarative_ldm(workspace_id="123")

# CatalogDeclarativeModel(
#    ldm=CatalogDeclarativeLdm(
#        datasets=[
#            CatalogDeclarativeDataset(
#                id='campaign_channels',
#                title='Campaign channels',
#                grain=[
#                    CatalogGrainIdentifier(
#                        id='campaign_channel_id',
#                        type='attribute'
#                    )
#                ],
#                references=[
#                    CatalogDeclarativeReference(
#                        identifier=CatalogReferenceIdentifier(
#                            id='campaigns'
#                        ),
#                        multivalue=False,
#                         source_columns=['campaign_id']
#                    )
#                ],
#                description='Campaign channels',
#                attributes=[
#                    CatalogDeclarativeAttribute(
#                        id='campaign_channel_id',
#                        title='Campaign channel id',
#                        source_column='campaign_channel_id',
#                        labels=[],
# ...
put_declarative_ldm