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223 lines
6.1 KiB
Python
223 lines
6.1 KiB
Python
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import logging
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from typing import List
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import pytest
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import yaml
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from datahub.configuration.common import ConfigurationError
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from datahub.ingestion.source.metadata.lineage import LineageConfig, LineageFileSource
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from datahub.metadata.schema_classes import UpstreamClass
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logger = logging.getLogger(__name__)
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@pytest.fixture
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def basic_mcp():
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"""
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The below mcp should represent a lineage that looks like this
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topic1 -
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->topic3
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topic2 -
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:return:
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"""
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sample_lineage = """
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lineage:
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- entity:
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name: topic3
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type: dataset
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env: DEV
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platform: kafka
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upstream:
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- entity:
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name: topic1
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic2
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type: dataset
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env: DEV
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platform: kafka
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"""
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config = yaml.safe_load(sample_lineage)
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lineage_config: LineageConfig = LineageConfig.parse_obj(config)
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mcp = list(
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LineageFileSource.get_lineage_metadata_change_event_proposal(
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entities=lineage_config.lineage, preserve_upstream=False
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)
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)
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return mcp
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def unsupported_entity_type_mcp():
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sample_lineage = """
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lineage:
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- entity:
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name: topic3
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type: NotSupported!
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env: DEV
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platform: kafka
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upstream:
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- entity:
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name: topic1
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic2
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic6
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type: dataset
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env: DEV
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platform: kafka
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upstream:
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- entity:
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name: topic4
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic5
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type: dataset
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env: DEV
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platform: kafka
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"""
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config = yaml.safe_load(sample_lineage)
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lineage_config: LineageConfig = LineageConfig.parse_obj(config)
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mcp = list(
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LineageFileSource.get_lineage_metadata_change_event_proposal(
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entities=lineage_config.lineage, preserve_upstream=False
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)
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)
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return mcp
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def unsupported_upstream_entity_type_mcp():
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sample_lineage = """
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lineage:
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- entity:
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name: topic3
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type: dataset
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env: DEV
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platform: kafka
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upstream:
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- entity:
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name: topic1
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type: NotSupported
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env: DEV
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platform: kafka
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- entity:
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name: topic2
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type: dataset
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env: DEV
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platform: kafka
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"""
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config = yaml.safe_load(sample_lineage)
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lineage_config: LineageConfig = LineageConfig.parse_obj(config)
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mcp = list(
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LineageFileSource.get_lineage_metadata_change_event_proposal(
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entities=lineage_config.lineage, preserve_upstream=False
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)
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)
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return mcp
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def unsupported_entity_env_mcp():
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sample_lineage = """
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lineage:
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- entity:
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name: topic3
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type: dataset
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env: NotSupported!
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platform: kafka
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upstream:
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- entity:
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name: topic1
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic2
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic6
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type: dataset
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env: DEV
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platform: kafka
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upstream:
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- entity:
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name: topic4
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type: dataset
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env: DEV
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platform: kafka
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- entity:
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name: topic5
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type: dataset
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env: DEV
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platform: kafka
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"""
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config = yaml.safe_load(sample_lineage)
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lineage_config: LineageConfig = LineageConfig.parse_obj(config)
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mcp = list(
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LineageFileSource.get_lineage_metadata_change_event_proposal(
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entities=lineage_config.lineage, preserve_upstream=False
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)
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)
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return mcp
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def test_basic_lineage_entity_root_node_urn(basic_mcp):
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"""
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Checks to see if the entityUrn extracted is correct for the root entity node
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"""
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assert (
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basic_mcp[0].entityUrn
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== "urn:li:dataset:(urn:li:dataPlatform:kafka,topic3,DEV)"
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)
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def test_basic_lineage_upstream_urns(basic_mcp):
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"""
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Checks to see if the upstream urns are correct for a basic_mcp example
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"""
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basic_mcp_upstreams: List[UpstreamClass] = basic_mcp[0].aspect.upstreams
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assert (
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basic_mcp_upstreams[0].dataset
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== "urn:li:dataset:(urn:li:dataPlatform:kafka,topic1,DEV)"
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and basic_mcp_upstreams[1].dataset
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== "urn:li:dataset:(urn:li:dataPlatform:kafka,topic2,DEV)"
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)
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def test_unsupported_entity_type():
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"""
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Checks to see how we handle the case of unsupported entity types.
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If validation is working correctly, it should raise a ConfigurationError
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"""
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with pytest.raises(ConfigurationError):
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unsupported_entity_type_mcp()
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def test_unsupported_upstream_entity_type():
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"""
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Checks to see how invalid types work in the upstream node.
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If validation is working correctly, it should raise a ConfigurationError
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"""
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with pytest.raises(ConfigurationError):
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unsupported_upstream_entity_type_mcp()
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def test_unsupported_entity_env():
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"""
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Checks to see how invalid envs work.
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If validation is working correctly, it should raise a ConfigurationError
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"""
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with pytest.raises(ConfigurationError):
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unsupported_entity_env_mcp()
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