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Fix Quicksight URL (#10592)
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@ -57,6 +57,9 @@ class QuicksightSource(DashboardServiceSource):
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super().__init__(config, metadata_config)
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self.aws_account_id = self.service_connection.awsAccountId
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self.dashboard_url = None
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self.aws_region = (
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self.config.serviceConnection.__root__.config.awsConfig.awsRegion
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)
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self.default_args = {
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"AwsAccountId": self.aws_account_id,
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"MaxResults": QUICKSIGHT_MAXRESULTS,
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@ -129,14 +132,6 @@ class QuicksightSource(DashboardServiceSource):
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"""
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Method to Get Dashboard Entity
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"""
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self.dashboard_url = self.client.get_dashboard_embed_url(
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AwsAccountId=self.aws_account_id,
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DashboardId=dashboard_details["DashboardId"],
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IdentityType=self.config.serviceConnection.__root__.config.identityType.value,
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Namespace=self.config.serviceConnection.__root__.config.namespace
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or "default",
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)["EmbedUrl"]
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yield CreateDashboardRequest(
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name=dashboard_details["DashboardId"],
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dashboardUrl=self.dashboard_url,
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@ -176,12 +171,16 @@ class QuicksightSource(DashboardServiceSource):
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self.status.filter(chart["Name"], "Chart Pattern not allowed")
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continue
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self.dashboard_url = (
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f"https://{self.aws_region}.quicksight.aws.amazon.com/sn/dashboards"
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f'/{dashboard_details.get("DashboardId")}'
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)
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yield CreateChartRequest(
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name=chart["SheetId"],
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displayName=chart["Name"],
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description="",
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chartType=ChartType.Other.value,
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chartUrl=f"{self.dashboard_url}/sheets/{chart['SheetId']}",
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chartUrl=self.dashboard_url,
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service=self.context.dashboard_service.fullyQualifiedName.__root__,
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)
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self.status.scanned(chart["Name"])
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@ -92,7 +92,7 @@ EXPECTED_DASHBOARD = CreateDashboardRequest(
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name="552315335",
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displayName="New Dashboard",
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description="",
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dashboardUrl="https://dashboards.example.com/embed/1234",
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dashboardUrl="https://us-east-2.quicksight.aws.amazon.com/sn/dashboards/552315335",
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charts=[],
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tags=None,
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owner=None,
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@ -106,7 +106,7 @@ EXPECTED_DASHBOARDS = [
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displayName="Top Salespeople",
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description="",
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chartType="Other",
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chartUrl="https://dashboards.example.com/embed/1234/sheets/1108771657",
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chartUrl="https://us-east-2.quicksight.aws.amazon.com/sn/dashboards/552315335",
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tables=None,
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tags=None,
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owner=None,
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@ -117,7 +117,7 @@ EXPECTED_DASHBOARDS = [
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displayName="Milan Datasets",
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description="",
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chartType="Other",
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chartUrl="https://dashboards.example.com/embed/1234/sheets/1985861713",
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chartUrl="https://us-east-2.quicksight.aws.amazon.com/sn/dashboards/552315335",
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tables=None,
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tags=None,
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owner=None,
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@ -128,7 +128,7 @@ EXPECTED_DASHBOARDS = [
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displayName="Page Fans",
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description="",
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chartType="Other",
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chartUrl="https://dashboards.example.com/embed/1234/sheets/2025899139",
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chartUrl="https://us-east-2.quicksight.aws.amazon.com/sn/dashboards/552315335",
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tables=None,
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tags=None,
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owner=None,
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@ -137,10 +137,6 @@ EXPECTED_DASHBOARDS = [
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]
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def mock_get_dashboard_embed_url(AwsAccountId, DashboardId, IdentityType, Namespace):
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return {"EmbedUrl": "https://dashboards.example.com/embed/1234"}
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class QuickSightUnitTest(TestCase):
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"""
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Implements the necessary methods to extract
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@ -158,10 +154,11 @@ class QuickSightUnitTest(TestCase):
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mock_quicksight_config["source"],
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self.config.workflowConfig.openMetadataServerConfig,
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)
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self.quicksight.dashboard_url = "https://dashboards.example.com/embed/1234"
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self.quicksight.dashboard_url = (
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"https://us-east-2.quicksight.aws.amazon.com/sn/dashboards/552315335"
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)
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self.quicksight.context.__dict__["dashboard"] = MOCK_DASHBOARD
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self.quicksight.context.__dict__["dashboard_service"] = MOCK_DASHBOARD_SERVICE
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self.quicksight.client.get_dashboard_embed_url = mock_get_dashboard_embed_url
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@pytest.mark.order(1)
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def test_dashboard(self):
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@ -148,7 +148,7 @@ If you are planning on going to PROD, we recommend to validate below points:
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- MySQL and OpenSearch (ElasticSearch) are available.
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- OpenMetadata-Server require the minimum configuration of 2vCPU and 6Memory (GiB)
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- OpenMetadata-Ingestion require the minimum configuration of 2vCPU and 8Memory (GiB)
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- We also recommend to bind Docker Volumes for data persistence. Minimum disck space required would be 128 Gib. Learn how to do so [here](/deployment/docker/volumes).
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- We also recommend to bind Docker Volumes for data persistence. Minimum disk space required would be 128 Gib. Learn how to do so [here](/deployment/docker/volumes).
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### Steps for Deploying Ingestion
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- Download the docker-compose.yml file from the release page [here](https://github.com/open-metadata/OpenMetadata/releases).
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- Update the environment variables below for OpenMetadata-Ingestion Docker Compose backed systems to connect with Database.
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