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chore: fix lint and remove incorrect integration mark from unit tests (#4621)
* chore: fix lint and remove incorrect integration mark from unit tests * add to test requirements * revert athena source tests
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@ -291,7 +291,9 @@ base_dev_requirements = {
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"bigquery-usage",
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"clickhouse",
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"clickhouse-usage",
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"druid",
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"elasticsearch",
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"ldap",
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"looker",
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"glue",
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"mariadb",
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@ -310,7 +312,7 @@ base_dev_requirements = {
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"trino",
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"hive",
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"starburst-trino-usage",
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"powerbi"
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"powerbi",
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# airflow is added below
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]
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for dependency in plugins[plugin]
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@ -109,7 +109,7 @@ class TableauSource(Source):
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config: TableauConfig
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report: SourceReport
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platform = "tableau"
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server: Server
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server: Optional[Server]
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upstream_tables: Dict[str, Tuple[Any, str]] = {}
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def __hash__(self):
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@ -136,7 +136,7 @@ class TableauSource(Source):
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def _authenticate(self):
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# https://tableau.github.io/server-client-python/docs/api-ref#authentication
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authentication = None
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authentication: Optional[Union[TableauAuth, PersonalAccessTokenAuth]] = None
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if self.config.username and self.config.password:
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authentication = TableauAuth(
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username=self.config.username,
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@ -5,6 +5,7 @@ from unittest import mock
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import pytest
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from freezegun import freeze_time
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from datahub.ingestion.api.common import PipelineContext
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from src.datahub.ingestion.source.aws.s3_util import make_s3_urn
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FROZEN_TIME = "2020-04-14 07:00:00"
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@ -34,7 +35,6 @@ def test_athena_uri():
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def test_athena_get_table_properties():
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from pyathena.model import AthenaTableMetadata
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from datahub.ingestion.api.common import PipelineContext
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from datahub.ingestion.source.sql.athena import AthenaConfig, AthenaSource
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config = AthenaConfig.parse_obj(
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@ -1,12 +1,10 @@
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import json
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import os
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import pytest
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from datahub.ingestion.source.usage.bigquery_usage import BigQueryUsageConfig
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@pytest.mark.integration
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def test_bigquery_uri_with_credential():
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from datahub.ingestion.source.usage.bigquery_usage import BigQueryUsageConfig
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expected_credential_json = {
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"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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@ -1,9 +1,7 @@
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import pytest
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from datahub.ingestion.source.sql.clickhouse import ClickHouseConfig
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@pytest.mark.integration
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def test_clickhouse_uri_https():
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from datahub.ingestion.source.sql.clickhouse import ClickHouseConfig
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config = ClickHouseConfig.parse_obj(
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{
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@ -20,9 +18,7 @@ def test_clickhouse_uri_https():
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)
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@pytest.mark.integration
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def test_clickhouse_uri_native():
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from datahub.ingestion.source.sql.clickhouse import ClickHouseConfig
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config = ClickHouseConfig.parse_obj(
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{
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@ -35,9 +31,7 @@ def test_clickhouse_uri_native():
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assert config.get_sql_alchemy_url() == "clickhouse+native://user:password@host:1111"
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@pytest.mark.integration
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def test_clickhouse_uri_native_secure():
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from datahub.ingestion.source.sql.clickhouse import ClickHouseConfig
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config = ClickHouseConfig.parse_obj(
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{
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@ -1,9 +1,7 @@
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import pytest
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from datahub.ingestion.source.sql.druid import DruidConfig
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@pytest.mark.integration
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def test_druid_uri():
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from datahub.ingestion.source.sql.druid import DruidConfig
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config = DruidConfig.parse_obj({"host_port": "localhost:8082"})
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@ -1,13 +1,11 @@
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import deepdiff
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import pytest
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from datahub.ingestion.api.common import PipelineContext
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from datahub.ingestion.source.sql.hive import HiveConfig, HiveSource
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from datahub.utilities.hive_schema_to_avro import get_avro_schema_for_hive_column
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@pytest.mark.integration
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def test_hive_configuration_get_identifier_with_database():
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from datahub.ingestion.api.common import PipelineContext
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from datahub.ingestion.source.sql.hive import HiveConfig, HiveSource
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test_db_name = "test_database"
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# test_table_name = "test_table"
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@ -26,7 +24,6 @@ def test_hive_configuration_get_identifier_with_database():
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assert output == [expected_output]
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@pytest.mark.integration
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def test_hive_configuration_get_avro_schema_from_native_data_type():
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# Test 3 - struct of struct
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datatype_string = "struct<type:string,provider:array<int>,abc:struct<t1:string>>"
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@ -1,9 +1,9 @@
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import pytest
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from datahub.ingestion.source.ldap import parse_from_attrs, strip_ldap_info
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@pytest.mark.integration
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def test_strip_ldap_info():
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from datahub.ingestion.source.ldap import strip_ldap_info
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assert (
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strip_ldap_info(b"uid=firstname.surname,ou=People,dc=internal,dc=machines")
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@ -11,7 +11,6 @@ def test_strip_ldap_info():
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)
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@pytest.mark.integration
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@pytest.mark.parametrize(
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"input, expected",
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[
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@ -35,7 +34,6 @@ def test_strip_ldap_info():
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],
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)
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def test_parse_from_attrs(input, expected):
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from datahub.ingestion.source.ldap import parse_from_attrs
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assert (
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parse_from_attrs(
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@ -40,7 +40,6 @@ def test_delayed_iter():
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]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -52,7 +51,6 @@ def test_metadatasql_sql_parser_get_tables_from_simple_query():
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assert tables_list == ["bar", "foo"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -64,7 +62,6 @@ def test_sqllineage_sql_parser_get_tables_from_simple_query():
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assert tables_list == ["bar", "foo"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -121,7 +118,6 @@ date :: date) <= 7
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assert tables_list == ["schema1.foo", "schema2.bar"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -141,7 +137,6 @@ def test_sqllineage_sql_parser_get_columns_from_simple_query():
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assert columns_list == ["a", "b"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -153,7 +148,6 @@ def test_metadatasql_sql_parser_get_columns_with_alias_and_count_star():
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assert columns_list == ["a", "b", "count", "test"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -181,7 +175,6 @@ WHERE
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assert columns_list == ["bs", "pi", "pt", "pu", "v"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -238,7 +231,6 @@ date :: date) <= 7
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assert columns_list == ["c", "date", "e", "u", "x"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -257,7 +249,6 @@ def test_metadatasql_sql_parser_get_tables_from_templated_query():
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assert tables_list == ["my_view.SQL_TABLE_NAME"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -276,7 +267,6 @@ def test_sqllineage_sql_parser_get_tables_from_templated_query():
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assert tables_list == ["my_view.SQL_TABLE_NAME"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -295,7 +285,6 @@ def test_metadatasql_sql_parser_get_columns_from_templated_query():
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assert columns_list == ["city", "country", "measurement", "timestamp"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -314,7 +303,6 @@ def test_sqllineage_sql_parser_get_columns_from_templated_query():
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assert columns_list == ["city", "country", "measurement", "timestamp"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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@ -329,7 +317,6 @@ def test_sqllineage_sql_parser_with_weird_lookml_query():
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assert columns_list == ["aliased_platform", "country", "date"]
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@pytest.mark.integration
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@pytest.mark.skipif(
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sys.version_info < (3, 7), reason="The LookML source requires Python 3.7+"
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)
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