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43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
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import time
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import pytest
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from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph
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from datahub.metadata.schema_classes import SchemaMetadataClass, KafkaSchemaClass
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from tests.utils import (
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FRONTEND_ENDPOINT,
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GMS_ENDPOINT,
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delete_urns_from_file,
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ingest_file_via_rest,
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)
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@pytest.fixture(scope="module", autouse=False)
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def ingest_cleanup_data(request):
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print("ingesting graph test data")
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ingest_file_via_rest("tests/cli/graph_data.json")
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yield
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print("removing graph test data")
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delete_urns_from_file("tests/cli/graph_data.json")
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@pytest.mark.dependency()
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def test_healthchecks(wait_for_healthchecks):
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# Call to wait_for_healthchecks fixture will do the actual functionality.
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pass
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@pytest.mark.dependency(depends=["test_healthchecks"])
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def test_get_aspect_v2(frontend_session, ingest_cleanup_data):
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graph: DataHubGraph = DataHubGraph(DatahubClientConfig())
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urn = "urn:li:dataset:(urn:li:dataPlatform:kafka,test-rollback,PROD)"
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schema_metadata: SchemaMetadataClass = graph.get_aspect_v2(
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urn, aspect="schemaMetadata", aspect_type=SchemaMetadataClass
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)
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assert schema_metadata is not None
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assert schema_metadata.platform == "urn:li:dataPlatform:kafka"
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assert isinstance(schema_metadata.platformSchema, KafkaSchemaClass)
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k_schema: KafkaSchemaClass = schema_metadata.platformSchema
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assert k_schema.documentSchema == "{\"type\":\"record\",\"name\":\"SampleKafkaSchema\",\"namespace\":\"com.linkedin.dataset\",\"doc\":\"Sample Kafka dataset\",\"fields\":[{\"name\":\"field_foo\",\"type\":[\"string\"]},{\"name\":\"field_bar\",\"type\":[\"boolean\"]}]}"
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