issue-19508: PowerBI tables, datamodel metadata missing (#19509)

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harshsoni2024 2025-01-27 12:33:44 +05:30 committed by GitHub
parent 82198f8126
commit ce6b4ace33
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2 changed files with 165 additions and 186 deletions

View File

@ -127,13 +127,7 @@ class PowerBiApiClient:
List[PowerBIDashboard]
"""
try:
admin = "admin/" if self.config.useAdminApis else ""
response_data = self.client.get(
f"/myorg/{admin}groups/{group_id}/dashboards"
)
if not response_data:
logger.debug(f"No dashboards found for workspace_id: {group_id}")
return None
response_data = self.client.get(f"/myorg/groups/{group_id}/dashboards")
response = DashboardsResponse(**response_data)
return response.value
except Exception as exc: # pylint: disable=broad-except
@ -148,11 +142,7 @@ class PowerBiApiClient:
List[PowerBIReport]
"""
try:
admin = "admin/" if self.config.useAdminApis else ""
response_data = self.client.get(f"/myorg/{admin}groups/{group_id}/reports")
if not response_data:
logger.debug(f"No reports found for workspace_id: {group_id}")
return None
response_data = self.client.get(f"/myorg/groups/{group_id}/reports")
response = ReportsResponse(**response_data)
return response.value
except Exception as exc: # pylint: disable=broad-except
@ -167,11 +157,7 @@ class PowerBiApiClient:
List[Dataset]
"""
try:
admin = "admin/" if self.config.useAdminApis else ""
response_data = self.client.get(f"/myorg/{admin}groups/{group_id}/datasets")
if not response_data:
logger.debug(f"No datasets found for workspace_id: {group_id}")
return None
response_data = self.client.get(f"/myorg/groups/{group_id}/datasets")
response = DatasetResponse(**response_data)
return response.value
except Exception as exc: # pylint: disable=broad-except
@ -188,13 +174,9 @@ class PowerBiApiClient:
List[Tile]
"""
try:
admin = "admin/" if self.config.useAdminApis else ""
response_data = self.client.get(
f"/myorg/{admin}dashboards/{dashboard_id}/tiles"
f"/myorg/groups/{group_id}/dashboards/{dashboard_id}/tiles"
)
if not response_data:
logger.debug(f"No dashboard tiles found for workspace_id: {group_id}")
return None
response = TilesResponse(**response_data)
return response.value
except Exception as exc: # pylint: disable=broad-except
@ -234,9 +216,6 @@ class PowerBiApiClient:
entities_per_page = self.config.pagination_entity_per_page
params_data = {"$top": "1"}
response_data = self.client.get(api_url, data=params_data)
if not response_data:
logger.debug("No groups/workspaces found")
return None
response = GroupsResponse(**response_data)
count = response.odata_count
indexes = math.ceil(count / entities_per_page)
@ -249,7 +228,10 @@ class PowerBiApiClient:
}
response_data = self.client.get(api_url, data=params_data)
if not response_data:
logger.debug("No more groups/workspaces found")
logger.error(
"Error fetching workspaces between results: "
f"{str(index * entities_per_page)} - {str(entities_per_page)}"
)
continue
response = GroupsResponse(**response_data)
workspaces.extend(response.value)
@ -286,7 +268,6 @@ class PowerBiApiClient:
def fetch_workspace_scan_status(
self, scan_id: str
) -> Optional[WorkSpaceScanResponse]:
# deprecated in favour to avoide bulk data prepare
"""Get Workspace scan status by id method
Args:
scan_id:
@ -305,7 +286,6 @@ class PowerBiApiClient:
return None
def fetch_workspace_scan_result(self, scan_id: str) -> Optional[Workspaces]:
# deprecated in favour to avoide bulk data prepare
"""Get Workspace scan result by id method
Args:
scan_id:
@ -327,7 +307,6 @@ class PowerBiApiClient:
"""
Method to poll the scan status endpoint until the timeout
"""
# deprecated in favour to avoide bulk data prepare
min_sleep_time = 3
if min_sleep_time > timeout:
logger.info(f"Timeout is set to minimum sleep time: {timeout}")

View File

@ -49,7 +49,6 @@ from metadata.generated.schema.type.basic import (
)
from metadata.ingestion.api.models import Either
from metadata.ingestion.api.steps import InvalidSourceException
from metadata.ingestion.models.ometa_lineage import OMetaLineageRequest
from metadata.ingestion.ometa.ometa_api import OpenMetadata
from metadata.ingestion.ometa.utils import model_str
from metadata.ingestion.source.dashboard.dashboard_service import DashboardServiceSource
@ -93,6 +92,17 @@ class PowerbiSource(DashboardServiceSource):
self.datamodel_file_mappings = []
def prepare(self):
"""
- Since we get all the required info i.e. reports, dashboards, charts, datasets
with workflow scan approach, we are populating bulk data for workspace.
- Some individual APIs are not able to yield data with details.
"""
if self.service_connection.useAdminApis:
groups = self.get_admin_workspace_data()
else:
groups = self.get_org_workspace_data()
if groups:
self.workspace_data = self.get_filtered_workspaces(groups)
return super().prepare()
def close(self):
@ -118,6 +128,108 @@ class PowerbiSource(DashboardServiceSource):
filtered_groups.append(group)
return filtered_groups
def get_org_workspace_data(self) -> Optional[List[Group]]:
"""
fetch all the group workspace ids
"""
groups = self.client.api_client.fetch_all_workspaces()
for group in groups:
# add the dashboards to the groups
group.dashboards.extend(
self.client.api_client.fetch_all_org_dashboards(group_id=group.id) or []
)
for dashboard in group.dashboards:
# add the tiles to the dashboards
dashboard.tiles.extend(
self.client.api_client.fetch_all_org_tiles(
group_id=group.id, dashboard_id=dashboard.id
)
or []
)
# add the reports to the groups
group.reports.extend(
self.client.api_client.fetch_all_org_reports(group_id=group.id) or []
)
# add the datasets to the groups
group.datasets.extend(
self.client.api_client.fetch_all_org_datasets(group_id=group.id) or []
)
for dataset in group.datasets:
# add the tables to the datasets
dataset.tables.extend(
self.client.api_client.fetch_dataset_tables(
group_id=group.id, dataset_id=dataset.id
)
or []
)
return groups
def get_admin_workspace_data(self) -> Optional[List[Group]]:
"""
fetch all the workspace ids
"""
groups = []
workspaces = self.client.api_client.fetch_all_workspaces()
if workspaces:
workspace_id_list = [workspace.id for workspace in workspaces]
# Start the scan of the available workspaces for dashboard metadata
workspace_paginated_list = [
workspace_id_list[i : i + self.pagination_entity_per_page]
for i in range(
0, len(workspace_id_list), self.pagination_entity_per_page
)
]
count = 1
for workspace_ids_chunk in workspace_paginated_list:
logger.info(
f"Scanning {count}/{len(workspace_paginated_list)} set of workspaces"
)
workspace_scan = self.client.api_client.initiate_workspace_scan(
workspace_ids_chunk
)
if not workspace_scan:
logger.error(
f"Error initiating workspace scan for ids:{str(workspace_ids_chunk)}\n moving to next set of workspaces"
)
count += 1
continue
# Keep polling the scan status endpoint to check if scan is succeeded
workspace_scan_status = self.client.api_client.wait_for_scan_complete(
scan_id=workspace_scan.id
)
if not workspace_scan_status:
logger.error(
f"Max poll hit to scan status for scan_id: {workspace_scan.id}, moving to next set of workspaces"
)
count += 1
continue
# Get scan result for successfull scan
response = self.client.api_client.fetch_workspace_scan_result(
scan_id=workspace_scan.id
)
if not response:
logger.error(
f"Error getting workspace scan result for scan_id: {workspace_scan.id}"
)
count += 1
continue
groups.extend(
[
active_workspace
for active_workspace in response.workspaces
if active_workspace.state == "Active"
]
)
count += 1
else:
logger.error("Unable to fetch any PowerBI workspaces")
return groups or None
@classmethod
def create(
cls, config_dict, metadata: OpenMetadata, pipeline_name: Optional[str] = None
@ -130,51 +242,12 @@ class PowerbiSource(DashboardServiceSource):
)
return cls(config, metadata)
def prepare_workspace_data(self, workspace: Group):
"""prepare one workspace data at a time"""
# add the dashboards to the groups
workspace.dashboards.extend(
self.client.api_client.fetch_all_org_dashboards(group_id=workspace.id) or []
)
for dashboard in workspace.dashboards:
# add the tiles to the dashboards
dashboard.tiles.extend(
self.client.api_client.fetch_all_org_tiles(
group_id=workspace.id, dashboard_id=dashboard.id
)
or []
)
# add the reports to the groups
workspace.reports.extend(
self.client.api_client.fetch_all_org_reports(group_id=workspace.id) or []
)
# add the datasets to the groups
workspace.datasets.extend(
self.client.api_client.fetch_all_org_datasets(group_id=workspace.id) or []
)
for dataset in workspace.datasets:
# add the tables to the datasets
dataset.tables.extend(
self.client.api_client.fetch_dataset_tables(
group_id=workspace.id, dataset_id=dataset.id
)
or []
)
def get_dashboard(self) -> Any:
"""
Method to iterate through dashboard lists filter dashboards & yield dashboard details
"""
# fetch all workspaces/groups & apply filter pattern
all_workspaces = self.client.api_client.fetch_all_workspaces() or []
all_workspaces = self.get_filtered_workspaces(all_workspaces)
for workspace in all_workspaces:
# prepare additional data for specific workspace (datasets, reports, dashboards)
self.prepare_workspace_data(workspace)
for workspace in self.workspace_data:
self.context.get().workspace = workspace
self.workspace_data.append(workspace)
for dashboard in self.get_dashboards_list():
try:
dashboard_details = self.get_dashboard_details(dashboard)
@ -258,45 +331,54 @@ class PowerbiSource(DashboardServiceSource):
f"{workspace_id}/{chart_url_postfix}"
)
def yield_datamodel(
self, dashboard_details: Union[PowerBIDashboard, PowerBIReport]
) -> Iterable[Either[CreateDashboardRequest]]:
def list_datamodels(self) -> Iterable[Dataset]:
"""
Method to yield datamodel for each workspace
Get All the Powerbi Datasets
"""
workspace_datasets = self.context.get().workspace.datasets
for dataset in workspace_datasets:
if filter_by_datamodel(
self.source_config.dataModelFilterPattern, dataset.name
):
self.status.filter(dataset.name, "Data model filtered out.")
continue
if self.source_config.includeDataModels:
try:
data_model_request = CreateDashboardDataModelRequest(
name=EntityName(dataset.id),
displayName=dataset.name,
description=Markdown(dataset.description)
if dataset.description
else None,
service=FullyQualifiedEntityName(
self.context.get().dashboard_service
),
dataModelType=DataModelType.PowerBIDataModel.value,
serviceType=DashboardServiceType.PowerBI.value,
columns=self._get_column_info(dataset),
project=self.get_project_name(dashboard_details),
)
yield Either(right=data_model_request)
self.register_record_datamodel(datamodel_request=data_model_request)
for workspace in self.workspace_data:
for dataset in workspace.datasets or []:
if filter_by_datamodel(
self.source_config.dataModelFilterPattern, dataset.name
):
self.status.filter(dataset.name, "Data model filtered out.")
continue
yield dataset
except Exception as err:
logger.debug(traceback.format_exc())
logger.error(f"Unexpected error fetching PowerBI datasets - {err}")
except Exception as exc:
yield Either(
left=StackTraceError(
name=dataset.name,
error=f"Error yielding Data Model [{dataset.name}]: {exc}",
stackTrace=traceback.format_exc(),
)
def yield_bulk_datamodel(
self, dataset: Dataset
) -> Iterable[Either[CreateDashboardDataModelRequest]]:
"""
Method to fetch DataModels in bulk
"""
try:
data_model_request = CreateDashboardDataModelRequest(
name=EntityName(dataset.id),
displayName=dataset.name,
description=Markdown(dataset.description)
if dataset.description
else None,
service=FullyQualifiedEntityName(self.context.get().dashboard_service),
dataModelType=DataModelType.PowerBIDataModel.value,
serviceType=DashboardServiceType.PowerBI.value,
columns=self._get_column_info(dataset),
project=self._fetch_dataset_workspace(dataset_id=dataset.id),
)
yield Either(right=data_model_request)
self.register_record_datamodel(datamodel_request=data_model_request)
except Exception as exc:
yield Either(
left=StackTraceError(
name=dataset.name,
error=f"Error yielding Data Model [{dataset.name}]: {exc}",
stackTrace=traceback.format_exc(),
)
)
def _get_child_columns(self, table: PowerBiTable) -> List[Column]:
"""
@ -762,85 +844,3 @@ class PowerbiSource(DashboardServiceSource):
f"Error fetching project name for {dashboard_details.id}: {exc}"
)
return None
def yield_dashboard_lineage(
self, dashboard_details: Any
) -> Iterable[Either[OMetaLineageRequest]]:
"""
Yields lineage if config is enabled.
We will look for the data in all the services
we have informed.
"""
for lineage in self.yield_datamodel_dashboard_lineage(dashboard_details) or []:
if lineage.right is not None:
yield Either(
right=OMetaLineageRequest(
lineage_request=lineage.right,
override_lineage=self.source_config.overrideLineage,
)
)
else:
yield lineage
db_service_names = self.get_db_service_names()
for db_service_name in db_service_names or []:
yield from self.yield_dashboard_lineage_details(
dashboard_details, db_service_name
) or []
def yield_datamodel_dashboard_lineage(
self, dashboard_details: Any
) -> Iterable[Either[AddLineageRequest]]:
"""
Returns:
Lineage request between Data Models and Dashboards
"""
dashboard_fqn = fqn.build(
self.metadata,
entity_type=Dashboard,
service_name=self.context.get().dashboard_service,
dashboard_name=dashboard_details.id,
)
dashboard_entity = self.metadata.get_by_name(
entity=Dashboard, fqn=dashboard_fqn
)
if isinstance(dashboard_details, PowerBIReport):
datamodel_fqn = fqn.build(
metadata=self.metadata,
entity_type=DashboardDataModel,
service_name=self.context.get().dashboard_service,
data_model_name=dashboard_details.datasetId,
)
datamodel_entity = self.metadata.get_by_name(
entity=DashboardDataModel, fqn=datamodel_fqn
)
if dashboard_entity and datamodel_entity:
yield self._get_add_lineage_request(
to_entity=dashboard_entity, from_entity=datamodel_entity
)
else:
if (
hasattr(self.context.get(), "dataModels")
and self.context.get().dataModels
):
for datamodel in self.context.get().dataModels:
try:
datamodel_fqn = fqn.build(
metadata=self.metadata,
entity_type=DashboardDataModel,
service_name=self.context.get().dashboard_service,
data_model_name=datamodel,
)
datamodel_entity = self.metadata.get_by_name(
entity=DashboardDataModel, fqn=datamodel_fqn
)
if dashboard_entity and datamodel_entity:
yield self._get_add_lineage_request(
to_entity=dashboard_entity, from_entity=datamodel_entity
)
except Exception as err:
logger.debug(traceback.format_exc())
logger.error(
f"Error to yield dashboard lineage details for data model name [{str(datamodel)}]: {err}"
)