mirror of
https://github.com/open-metadata/OpenMetadata.git
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263 lines
8.2 KiB
Python
263 lines
8.2 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (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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# http://www.apache.org/licenses/LICENSE-2.0
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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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Validate workflow configs and filters
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"""
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import uuid
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from copy import deepcopy
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from unittest.mock import patch
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import sqlalchemy as sqa
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from pytest import raises
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from sqlalchemy.orm import declarative_base
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from metadata.generated.schema.entity.data.table import (
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Column,
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DataType,
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Table,
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TableProfilerConfig,
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)
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from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
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OpenMetadataConnection,
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)
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from metadata.generated.schema.metadataIngestion.databaseServiceProfilerPipeline import (
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DatabaseServiceProfilerPipeline,
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)
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from metadata.generated.schema.type.entityReference import EntityReference
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from metadata.orm_profiler.api.models import ProfilerProcessorConfig
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from metadata.orm_profiler.api.workflow import ProfilerWorkflow
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from metadata.orm_profiler.interfaces.sqa_profiler_interface import SQAProfilerInterface
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from metadata.orm_profiler.profiler.default import DefaultProfiler
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TABLE = Table(
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id=uuid.uuid4(),
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name="users",
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fullyQualifiedName="service.db.users",
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columns=[
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Column(name="id", dataType=DataType.INT),
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Column(name="name", dataType=DataType.STRING),
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Column(name="fullname", dataType=DataType.STRING),
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Column(name="nickname", dataType=DataType.STRING),
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Column(name="age", dataType=DataType.INT),
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],
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database=EntityReference(id=uuid.uuid4(), name="db", type="database"),
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tableProfilerConfig=TableProfilerConfig(
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profilerCo=80.0,
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),
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)
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config = {
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"source": {
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"type": "sqlite",
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"serviceName": "my_service",
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"serviceConnection": {"config": {"type": "SQLite"}},
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"sourceConfig": {"config": {"type": "Profiler"}},
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},
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"processor": {"type": "orm-profiler", "config": {}},
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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": "no-auth",
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}
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},
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}
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Base = declarative_base()
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class User(Base):
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__tablename__ = "users"
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id = sqa.Column(sqa.Integer, primary_key=True)
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name = sqa.Column(sqa.String(256))
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fullname = sqa.Column(sqa.String(256))
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nickname = sqa.Column(sqa.String(256))
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age = sqa.Column(sqa.Integer)
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@patch.object(
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SQAProfilerInterface,
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"_convert_table_to_orm_object",
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return_value=User,
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)
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@patch.object(
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ProfilerWorkflow,
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"_validate_service_name",
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return_value=True,
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)
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def test_init_workflow(mocked_method, mocked_orm):
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"""
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We can initialise the workflow from a config
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"""
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workflow = ProfilerWorkflow.create(config)
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mocked_method.assert_called()
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assert isinstance(workflow.source_config, DatabaseServiceProfilerPipeline)
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assert isinstance(workflow.metadata_config, OpenMetadataConnection)
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assert isinstance(workflow.profiler_config, ProfilerProcessorConfig)
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assert workflow.profiler_config.profiler is None
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assert workflow.profiler_config.tableConfig is None
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@patch.object(
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ProfilerWorkflow,
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"_validate_service_name",
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return_value=True,
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)
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def test_filter_entities(mocked_method):
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"""
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We can properly filter entities depending on the
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workflow configuration
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"""
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workflow = ProfilerWorkflow.create(config)
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mocked_method.assert_called()
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service_name = "service"
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schema_reference1 = EntityReference(
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id=uuid.uuid4(), name="one_schema", type="databaseSchema"
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)
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schema_reference2 = EntityReference(
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id=uuid.uuid4(), name="another_schema", type="databaseSchema"
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)
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all_tables = [
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Table(
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id=uuid.uuid4(),
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name="table1",
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databaseSchema=schema_reference1,
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fullyQualifiedName=f"{service_name}.db.{schema_reference1.name}.table1",
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columns=[Column(name="id", dataType=DataType.BIGINT)],
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),
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Table(
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id=uuid.uuid4(),
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name="table2",
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databaseSchema=schema_reference1,
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fullyQualifiedName=f"{service_name}.db.{schema_reference1.name}.table2",
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columns=[Column(name="id", dataType=DataType.BIGINT)],
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),
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Table(
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id=uuid.uuid4(),
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name="table3",
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databaseSchema=schema_reference2,
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fullyQualifiedName=f"{service_name}.db.{schema_reference2.name}.table3",
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columns=[Column(name="id", dataType=DataType.BIGINT)],
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),
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]
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# Simple workflow does not filter
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assert len(list(workflow.filter_entities(all_tables))) == 3
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# We can exclude based on the schema name
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exclude_config = deepcopy(config)
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exclude_config["source"]["sourceConfig"]["config"]["schemaFilterPattern"] = {
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"excludes": ["another_schema"]
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}
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exclude_workflow = ProfilerWorkflow.create(exclude_config)
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mocked_method.assert_called()
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assert len(list(exclude_workflow.filter_entities(all_tables))) == 2
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exclude_config = deepcopy(config)
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exclude_config["source"]["sourceConfig"]["config"]["schemaFilterPattern"] = {
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"excludes": ["another*"]
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}
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exclude_workflow = ProfilerWorkflow.create(exclude_config)
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mocked_method.assert_called()
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assert len(list(exclude_workflow.filter_entities(all_tables))) == 2
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include_config = deepcopy(config)
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include_config["source"]["sourceConfig"]["config"]["databaseFilterPattern"] = {
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"includes": ["db*"]
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}
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include_workflow = ProfilerWorkflow.create(include_config)
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mocked_method.assert_called()
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assert len(list(include_workflow.filter_entities(all_tables))) == 3
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@patch.object(
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SQAProfilerInterface,
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"_convert_table_to_orm_object",
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return_value=User,
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)
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@patch.object(
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ProfilerWorkflow,
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"_validate_service_name",
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return_value=True,
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)
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def test_profile_def(mocked_method, mocked_orm):
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"""
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Validate the definitions of the profile in the JSON
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"""
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profile_config = deepcopy(config)
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config_metrics = ["row_count", "min", "COUNT", "null_count"]
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config_metrics_label = ["rowCount", "min", "valuesCount", "nullCount"]
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profile_config["processor"]["config"]["profiler"] = {
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"name": "my_profiler",
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"metrics": config_metrics,
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}
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profile_workflow = ProfilerWorkflow.create(profile_config)
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mocked_method.assert_called()
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profiler_interface = profile_workflow.create_profiler_interface(
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profile_workflow.config.source.serviceConnection.__root__.config,
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TABLE,
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)
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profile_workflow.create_profiler_obj(TABLE, profiler_interface)
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profiler_obj_metrics = [
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metric.name() for metric in profile_workflow.profiler_obj.metrics
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]
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assert profile_workflow.profiler_config.profiler
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assert config_metrics_label == profiler_obj_metrics
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@patch.object(
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SQAProfilerInterface,
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"_convert_table_to_orm_object",
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return_value=User,
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)
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@patch.object(
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ProfilerWorkflow,
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"_validate_service_name",
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return_value=True,
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)
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def test_default_profile_def(mocked_method, mocked_orm):
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"""
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If no information is specified for the profiler, let's
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use the SimpleTableProfiler and SimpleProfiler
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"""
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profile_workflow = ProfilerWorkflow.create(config)
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mocked_method.assert_called()
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profiler_interface = profile_workflow.create_profiler_interface(
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profile_workflow.config.source.serviceConnection.__root__.config,
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TABLE,
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)
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profile_workflow.create_profiler_obj(TABLE, profiler_interface)
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assert isinstance(
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profile_workflow.profiler_obj,
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DefaultProfiler,
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)
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def test_service_name_validation_raised():
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"""Test the service name validation for the profiler
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workflow is raised correctly
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"""
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with raises(ValueError, match="Service name `.*` does not exist"):
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ProfilerWorkflow.create(config)
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