def import_schema(self, path, *, title=None, target_data_model=None):
"""Import schema file from path
Sisense does not support this in Windows
Can be used to update an existing data model by adding it to target data model.
To add a new model with a new title
import_schema(path, title='New Title')
To update an existing model
import_schema(path, target_data_model=old_data_model)
If updating an existing data model, no modifications to title will happen.
Args:
path: The path to the schema smodel file
title: (Optional) Title to give the data model
target_data_model: (Optional) The data model to update.
"""
PySenseUtils.validate_version(self, SisenseVersion.Version.LINUX,
'import_schema')
target_data_model_id = target_data_model.get_oid(
) if target_data_model is not None else None
query_params = {'title': title, 'datamodelId': target_data_model_id}
data_model_json = self.connector.rest_call(
'post',
'api/v2/datamodel-imports/schema',
query_params=query_params,
json_payload=PySenseUtils.read_json(path))
return PySenseDataModel.DataModel(self, data_model_json)
def import_dashboards(self, path, *, action='overwrite', republish=True):
"""Import dashboard file from path
Can be used to update an existing dashboard.
Args:
path (str): The path to the dash file
action (str): Determines if the dashboard should be overwritten
republish (bool): Whether to republish after import
Returns:
list[Dashboard]: The newly added dashboards
"""
query_params = {'action': action, 'republish': republish}
json_obj = PySenseUtils.read_json(path)
if isinstance(json_obj, list):
json_array = json_obj
else:
json_array = [json_obj]
result_json = self.connector.rest_call('post',
'api/v1/dashboards/import/bulk',
query_params=query_params,
json_payload=json_array)
ret_arr = []
for dashboard_json in result_json["succeded"]:
ret_arr.append(PySenseDashboard.Dashboard(self, dashboard_json))
return ret_arr