mirror of
https://github.com/open-metadata/OpenMetadata.git
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228 lines
7.9 KiB
Python
228 lines
7.9 KiB
Python
# Copyright 2025 Collate
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# Licensed under the Collate Community License, Version 1.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Test QlikSense using the topology
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"""
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from unittest import TestCase
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from unittest.mock import patch
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import pytest
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from metadata.generated.schema.api.data.createChart import CreateChartRequest
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from metadata.generated.schema.api.data.createDashboard import CreateDashboardRequest
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from metadata.generated.schema.entity.services.dashboardService import (
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DashboardConnection,
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DashboardService,
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DashboardServiceType,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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OpenMetadataWorkflowConfig,
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)
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from metadata.generated.schema.type.basic import FullyQualifiedEntityName
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from metadata.ingestion.api.models import Either
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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from metadata.ingestion.source.dashboard.qliksense.client import QlikSenseClient
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from metadata.ingestion.source.dashboard.qliksense.metadata import QliksenseSource
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from metadata.ingestion.source.dashboard.qliksense.models import (
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QlikDashboard,
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QlikDashboardMeta,
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QlikSheet,
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QlikSheetInfo,
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QlikSheetMeta,
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)
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MOCK_DASHBOARD_SERVICE = DashboardService(
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id="c3eb265f-5445-4ad3-ba5e-797d3a3071bb",
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name="qliksense_source_test",
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fullyQualifiedName=FullyQualifiedEntityName("qliksense_source_test"),
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connection=DashboardConnection(),
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serviceType=DashboardServiceType.QlikSense,
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)
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mock_qliksense_config = {
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"source": {
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"type": "qliksense",
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"serviceName": "local_qliksensem",
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"serviceConnection": {
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"config": {
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"type": "QlikSense",
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"certificates": {
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"rootCertificate": "/test/path/root.pem",
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"clientKeyCertificate": "/test/path/client_key.pem",
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"clientCertificate": "/test/path/client.pem",
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},
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"userDirectory": "demo",
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"userId": "demo",
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"hostPort": "wss://test:4747",
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"displayUrl": "https://test",
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}
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},
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"sourceConfig": {
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"config": {
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"dashboardFilterPattern": {},
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"chartFilterPattern": {},
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"includeDraftDashboard": False,
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}
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},
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},
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"sink": {"type": "metadata-rest", "config": {}},
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"workflowConfig": {
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"openMetadataServerConfig": {
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"hostPort": "http://localhost:8585/api",
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"authProvider": "openmetadata",
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"securityConfig": {
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"jwtToken": "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg"
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},
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}
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},
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}
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MOCK_DASHBOARD_NAME = "New Dashboard"
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MOCK_DASHBOARD_DETAILS = QlikDashboard(
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qDocName=MOCK_DASHBOARD_NAME,
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qDocId="1",
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qTitle=MOCK_DASHBOARD_NAME,
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)
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MOCK_CHARTS = [
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QlikSheet(
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qInfo=QlikSheetInfo(qId="11"), qMeta=QlikSheetMeta(title="Top Salespeople")
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),
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QlikSheet(
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qInfo=QlikSheetInfo(qId="12"),
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qMeta=QlikSheetMeta(title="Milan Datasets", description="dummy"),
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),
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]
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EXPECTED_DASHBOARD = CreateDashboardRequest(
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name="1",
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displayName="New Dashboard",
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sourceUrl="https://test/sense/app/1/overview",
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charts=[],
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tags=None,
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owners=None,
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service="qliksense_source_test",
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extension=None,
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)
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EXPECTED_DASHBOARDS = [
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CreateChartRequest(
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name="11",
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displayName="Top Salespeople",
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chartType="Other",
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sourceUrl="https://test/sense/app/1/sheet/11",
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tags=None,
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owners=None,
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service="qliksense_source_test",
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),
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CreateChartRequest(
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name="12",
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displayName="Milan Datasets",
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chartType="Other",
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sourceUrl="https://test/sense/app/1/sheet/12",
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tags=None,
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owners=None,
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service="qliksense_source_test",
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description="dummy",
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),
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]
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MOCK_DASHBOARDS = [
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QlikDashboard(
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qDocName="sample unpublished dashboard",
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qDocId="51",
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qTitle="sample unpublished dashboard",
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qMeta=QlikDashboardMeta(published=False),
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),
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QlikDashboard(
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qDocName="sample published dashboard",
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qDocId="52",
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qTitle="sample published dashboard",
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qMeta=QlikDashboardMeta(published=True),
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),
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QlikDashboard(
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qDocName="sample published dashboard",
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qDocId="53",
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qTitle="sample published dashboard",
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qMeta=QlikDashboardMeta(published=True),
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),
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]
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DRAFT_DASHBOARDS_IN_MOCK_DASHBOARDS = 1
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class QlikSenseUnitTest(TestCase):
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"""
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Implements the necessary methods to extract
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QlikSense Unit Testtest_dbt
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"""
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def __init__(self, methodName) -> None:
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with patch.object(
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QlikSenseClient, "get_dashboard_for_test_connection", return_value=None
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):
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super().__init__(methodName)
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# test_connection.return_value = False
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self.config = OpenMetadataWorkflowConfig.model_validate(
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mock_qliksense_config
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)
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self.qliksense = QliksenseSource.create(
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mock_qliksense_config["source"],
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OpenMetadata(self.config.workflowConfig.openMetadataServerConfig),
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)
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self.qliksense.context.get().__dict__[
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"dashboard_service"
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] = MOCK_DASHBOARD_SERVICE.fullyQualifiedName.root
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print(self.qliksense.topology)
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print(self.qliksense.context.get().__dict__)
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@pytest.mark.order(1)
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def test_dashboard(self):
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dashboard_list = []
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results = self.qliksense.yield_dashboard(MOCK_DASHBOARD_DETAILS)
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for result in results:
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print(self.qliksense.context.get().__dict__)
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if isinstance(result, Either) and result.right:
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dashboard_list.append(result.right)
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self.assertEqual(EXPECTED_DASHBOARD, dashboard_list[0])
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@pytest.mark.order(2)
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def test_dashboard_name(self):
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assert (
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self.qliksense.get_dashboard_name(MOCK_DASHBOARD_DETAILS)
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== MOCK_DASHBOARD_NAME
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)
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@pytest.mark.order(3)
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def test_chart(self):
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dashboard_details = MOCK_DASHBOARD_DETAILS
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with patch.object(
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QlikSenseClient, "get_dashboard_charts", return_value=MOCK_CHARTS
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):
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results = list(self.qliksense.yield_dashboard_chart(dashboard_details))
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chart_list = []
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for result in results:
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if isinstance(result, Either) and result.right:
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chart_list.append(result.right)
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for _, (expected, original) in enumerate(
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zip(EXPECTED_DASHBOARDS, chart_list)
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):
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self.assertEqual(expected, original)
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@pytest.mark.order(4)
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def test_draft_dashboard(self):
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draft_dashboards_count = 0
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for dashboard in MOCK_DASHBOARDS:
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if self.qliksense.filter_draft_dashboard(dashboard):
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draft_dashboards_count += 1
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assert draft_dashboards_count == DRAFT_DASHBOARDS_IN_MOCK_DASHBOARDS
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