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
| name | type | description |
|---|---|---|
| workspace_id | string | Workspace identification string e.g. "demo" |
Returns
| type | description |
|---|---|
| CatalogDeclarativeModel | Object 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=[],
# ...