gooddata_sdk.catalog.workspace.declarative_model.workspace.analytics_model.analytics_model.CatalogDeclarativeAnalyticsLayer

class gooddata_sdk.catalog.workspace.declarative_model.workspace.analytics_model.analytics_model.CatalogDeclarativeAnalyticsLayer(*, analytical_dashboards: List[CatalogDeclarativeAnalyticalDashboard] = [], dashboard_plugins: List[CatalogDeclarativeDashboardPlugin] = [], filter_contexts: List[CatalogDeclarativeFilterContext] = [], metrics: List[CatalogDeclarativeMetric] = [], visualization_objects: List[CatalogDeclarativeVisualizationObject] = [])

Bases: Base

__init__(*, analytical_dashboards: List[CatalogDeclarativeAnalyticalDashboard] = [], dashboard_plugins: List[CatalogDeclarativeDashboardPlugin] = [], filter_contexts: List[CatalogDeclarativeFilterContext] = [], metrics: List[CatalogDeclarativeMetric] = [], visualization_objects: List[CatalogDeclarativeVisualizationObject] = []) → None

Method generated by attrs for class CatalogDeclarativeAnalyticsLayer.

Methods

__init__(*[, analytical_dashboards, ...])	Method generated by attrs for class CatalogDeclarativeAnalyticsLayer.
client_class()
from_api(entity)	Creates object from entity passed by client class, which represents it as dictionary.
from_dict(data[, camel_case])	Creates object from dictionary.
get_analytical_dashboards_folder(...)
get_analytics_model_folder(workspace_folder)
get_dashboard_plugins_folder(...)
get_filter_contexts_folder(...)
get_metrics_folder(analytics_model_folder)
get_visualization_objects_folder(...)
load_from_disk(workspace_folder)
store_to_disk(workspace_folder)
to_api()
to_dict([camel_case])	Converts object into dictionary.

Attributes

analytical_dashboards
dashboard_plugins
filter_contexts
metrics
visualization_objects

classmethod from_api(entity: Dict[str, Any]) → T

Creates object from entity passed by client class, which represents it as dictionary.

classmethod from_dict(data: Dict[str, Any], camel_case: bool = True) → T

Creates object from dictionary. It needs to be specified if the dictionary is in camelCase or snake_case.

to_dict(camel_case: bool = True) → Dict[str, Any]

Converts object into dictionary. Optional argument if the dictionary should be camelCase or snake_case can be specified.