%pip install semantic-link-labs

import sempy.fabric as fabric
import sempy_labs as labs
dataset = '' # Enter your dataset name
workspace = None # Enter your workspace name (if set to None it will use the workspace in which the notebook is running)

labs.refresh_semantic_model(dataset=dataset, workspace=workspace)

df = labs.refresh_semantic_model(dataset=dataset, workspace=workspace, visualize=True)

labs.refresh_semantic_model(dataset=dataset, workspace=workspace, tables=['Sales', 'Geography'])

labs.refresh_semantic_model(dataset=dataset, workspace=workspace, partitions=["'Sales'[Sales FY20]", "'Sales'[Sales FY21]"])

labs.refresh_semantic_model(dataset=dataset, workspace=workspace, tables=['Geography', 'Calendar'], partitions=["'Sales'[Sales FY20]", "'Sales'[Sales FY21]"])

labs.refresh_semantic_model(dataset=dataset, workspace=workspace, refresh_type='clearValues')

fabric.list_refresh_requests(dataset=dataset, workspace=workspace)

labs.cancel_dataset_refresh(dataset=dataset, workspace=workspace)

# Specify the request_id based on a value from list_refresh_requests
labs.cancel_dataset_refresh(dataset=dataset, workspace=workspace, request_id='')

labs.get_semantic_model_refresh_history(dataset=dataset, workspace=workspace)

labs.get_semantic_model_refresh_history(dataset=dataset, workspace=workspace, request_id='')