mirror of
https://github.com/open-metadata/OpenMetadata.git
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240 lines
6.8 KiB
Python
240 lines
6.8 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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Vertica unit test
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"""
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import json
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from unittest import TestCase
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from unittest.mock import patch
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from sqlalchemy.types import (
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CHAR,
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DATE,
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FLOAT,
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INTEGER,
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JSON,
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SMALLINT,
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TEXT,
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TIMESTAMP,
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VARCHAR,
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)
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from metadata.generated.schema.entity.data.table import Column, Table, TableType
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from metadata.ingestion.api.workflow import Workflow
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from metadata.ingestion.models.ometa_table_db import OMetaDatabaseAndTable
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CONFIG = """
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{
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"source": {
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"type": "vertica",
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"serviceName": "local_vertica",
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"serviceConnection": {
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"config": {
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"type": "Vertica",
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"username": "openmetadata_user",
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"password": "",
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"hostPort": "localhost:5433",
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"database": "custom_database_name"
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}
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},
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"sourceConfig": {
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"config": {
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"type": "DatabaseMetadata",
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"schemaFilterPattern":{
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"excludes": ["system.*","information_schema.*","INFORMATION_SCHEMA.*"]
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}
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}
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}
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},
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"sink": {
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"type": "file",
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"config": {
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"filename": "/var/tmp/vertica.json"
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}
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},
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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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"""
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MOCK_GET_TABLE_NAMES = [
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"airflow_pipeline_entity",
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"bot_entity",
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"change_event",
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"chart_entity",
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"dashboard_entity",
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]
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GET_TABLE_DESCRIPTIONS = {"text": "Test Description"}
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MOCK_GET_SCHEMA_NAMES = ["test_openmetadata_db"]
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MOCK_UNIQUE_CONSTRAINTS = [
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{"name": "unique_name", "column_names": ["name"], "duplicates_index": "unique_name"}
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]
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MOCK_PK_CONSTRAINT = {"constrained_columns": ["id"], "name": "NOT_NULL"}
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MOCK_GET_COLUMN = [
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{
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"name": "deleted",
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"type": SMALLINT(),
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"default": None,
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"comment": None,
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"nullable": True,
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"autoincrement": False,
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"computed": {
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"sqltext": "(json_extract(`json`,_utf8mb4'$.deleted'))",
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"persisted": False,
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},
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},
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{
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"name": "json",
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"type": JSON(),
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"default": None,
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"comment": None,
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"nullable": False,
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},
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{
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"name": "date",
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"type": DATE(),
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"nullable": True,
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"default": "",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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{
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"name": "weekday_indicator",
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"type": CHAR(length=7),
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"nullable": True,
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"default": "",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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{
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"name": "ts",
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"type": TIMESTAMP(),
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"nullable": True,
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"default": "",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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{
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"name": "symbol",
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"type": VARCHAR(length=8),
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"nullable": True,
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"default": "",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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{
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"name": "bid",
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"type": FLOAT(),
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"nullable": True,
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"default": "1.00",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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{
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"name": "test_col",
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"type": INTEGER(),
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"nullable": True,
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"default": "20",
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"autoincrement": False,
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"comment": None,
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"primary_key": False,
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},
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]
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MOCK_GET_VIEW_NAMES = ["test_view"]
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MOCK_GET_VIEW_DEFINITION = """
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CREATE VIEW test_view AS
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SELECT * FROM accounts
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UNION
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SELECT * FROM APPLICABLE_ROLES
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"""
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def execute_workflow():
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workflow = Workflow.create(json.loads(CONFIG))
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workflow.execute()
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workflow.print_status()
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workflow.stop()
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class VerticaIngestionTest(TestCase):
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@patch("sqlalchemy.engine.reflection.Inspector.get_view_definition")
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@patch("sqlalchemy.engine.reflection.Inspector.get_view_names")
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@patch("sqlalchemy.engine.reflection.Inspector.get_table_comment")
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@patch("sqlalchemy.engine.reflection.Inspector.get_table_names")
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@patch("sqlalchemy.engine.reflection.Inspector.get_schema_names")
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@patch("sqlalchemy.engine.reflection.Inspector.get_unique_constraints")
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@patch("sqlalchemy.engine.reflection.Inspector.get_pk_constraint")
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@patch("sqlalchemy.engine.reflection.Inspector.get_columns")
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@patch("sqlalchemy.engine.base.Engine.connect")
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def test_vertica_ingestion(
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self,
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mock_connect,
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get_columns,
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get_pk_constraint,
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get_unique_constraints,
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get_schema_names,
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get_table_names,
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get_table_comment,
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get_view_names,
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get_view_definition,
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):
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get_schema_names.return_value = MOCK_GET_SCHEMA_NAMES
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get_table_names.return_value = MOCK_GET_TABLE_NAMES
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get_table_comment.return_value = GET_TABLE_DESCRIPTIONS
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get_unique_constraints.return_value = MOCK_UNIQUE_CONSTRAINTS
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get_pk_constraint.return_value = MOCK_PK_CONSTRAINT
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get_columns.return_value = MOCK_GET_COLUMN
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get_view_names.return_value = MOCK_GET_VIEW_NAMES
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get_view_definition.return_value = MOCK_GET_VIEW_DEFINITION
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execute_workflow()
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config = json.loads(CONFIG)
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file_data = open(config["sink"]["config"]["filename"])
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data = json.load(file_data)
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for i in data:
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table = i.get("table")
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_: OMetaDatabaseAndTable = OMetaDatabaseAndTable.parse_obj(i)
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_: Table = Table.parse_obj(table)
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assert table.get("description") == GET_TABLE_DESCRIPTIONS.get("text")
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if table.get("tableType") == TableType.Regular.value:
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assert table.get("name") in MOCK_GET_TABLE_NAMES
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for column in table.get("columns"):
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_: Column = Column.parse_obj(column)
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if column in MOCK_UNIQUE_CONSTRAINTS[0].get("column_names"):
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assert Column.constraint.UNIQUE == column.get("constraint")
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if column in MOCK_PK_CONSTRAINT.get("constrained_columns"):
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assert Column.constraint.PRIMARY_KEY == column.get("constraint")
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if table.get("name") in MOCK_GET_VIEW_NAMES:
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assert table.get("tableType") == TableType.View.value
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assert table.get("viewDefinition") == MOCK_GET_VIEW_DEFINITION
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