Pere Miquel Brull 8e9d0a73f6
Fix #3573 - Sample Data refactor & ORM converter improvements (#5265)
Fix #3573 - Sample Data refactor & ORM converter improvements (#5265)
2022-06-08 16:10:40 +02:00

240 lines
6.8 KiB
Python

# Copyright 2021 Collate
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Vertica unit test
"""
import json
from unittest import TestCase
from unittest.mock import patch
from sqlalchemy.types import (
CHAR,
DATE,
FLOAT,
INTEGER,
JSON,
SMALLINT,
TEXT,
TIMESTAMP,
VARCHAR,
)
from metadata.generated.schema.entity.data.table import Column, Table, TableType
from metadata.ingestion.api.workflow import Workflow
from metadata.ingestion.models.ometa_table_db import OMetaDatabaseAndTable
CONFIG = """
{
"source": {
"type": "vertica",
"serviceName": "local_vertica",
"serviceConnection": {
"config": {
"type": "Vertica",
"username": "openmetadata_user",
"password": "",
"hostPort": "localhost:5433",
"database": "custom_database_name"
}
},
"sourceConfig": {
"config": {
"type": "DatabaseMetadata",
"schemaFilterPattern":{
"excludes": ["system.*","information_schema.*","INFORMATION_SCHEMA.*"]
}
}
}
},
"sink": {
"type": "file",
"config": {
"filename": "/var/tmp/vertica.json"
}
},
"workflowConfig": {
"openMetadataServerConfig": {
"hostPort": "http://localhost:8585/api",
"authProvider": "no-auth"
}
}
}
"""
MOCK_GET_TABLE_NAMES = [
"airflow_pipeline_entity",
"bot_entity",
"change_event",
"chart_entity",
"dashboard_entity",
]
GET_TABLE_DESCRIPTIONS = {"text": "Test Description"}
MOCK_GET_SCHEMA_NAMES = ["test_openmetadata_db"]
MOCK_UNIQUE_CONSTRAINTS = [
{"name": "unique_name", "column_names": ["name"], "duplicates_index": "unique_name"}
]
MOCK_PK_CONSTRAINT = {"constrained_columns": ["id"], "name": "NOT_NULL"}
MOCK_GET_COLUMN = [
{
"name": "deleted",
"type": SMALLINT(),
"default": None,
"comment": None,
"nullable": True,
"autoincrement": False,
"computed": {
"sqltext": "(json_extract(`json`,_utf8mb4'$.deleted'))",
"persisted": False,
},
},
{
"name": "json",
"type": JSON(),
"default": None,
"comment": None,
"nullable": False,
},
{
"name": "date",
"type": DATE(),
"nullable": True,
"default": "",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
{
"name": "weekday_indicator",
"type": CHAR(length=7),
"nullable": True,
"default": "",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
{
"name": "ts",
"type": TIMESTAMP(),
"nullable": True,
"default": "",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
{
"name": "symbol",
"type": VARCHAR(length=8),
"nullable": True,
"default": "",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
{
"name": "bid",
"type": FLOAT(),
"nullable": True,
"default": "1.00",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
{
"name": "test_col",
"type": INTEGER(),
"nullable": True,
"default": "20",
"autoincrement": False,
"comment": None,
"primary_key": False,
},
]
MOCK_GET_VIEW_NAMES = ["test_view"]
MOCK_GET_VIEW_DEFINITION = """
CREATE VIEW test_view AS
SELECT * FROM accounts
UNION
SELECT * FROM APPLICABLE_ROLES
"""
def execute_workflow():
workflow = Workflow.create(json.loads(CONFIG))
workflow.execute()
workflow.print_status()
workflow.stop()
class VerticaIngestionTest(TestCase):
@patch("sqlalchemy.engine.reflection.Inspector.get_view_definition")
@patch("sqlalchemy.engine.reflection.Inspector.get_view_names")
@patch("sqlalchemy.engine.reflection.Inspector.get_table_comment")
@patch("sqlalchemy.engine.reflection.Inspector.get_table_names")
@patch("sqlalchemy.engine.reflection.Inspector.get_schema_names")
@patch("sqlalchemy.engine.reflection.Inspector.get_unique_constraints")
@patch("sqlalchemy.engine.reflection.Inspector.get_pk_constraint")
@patch("sqlalchemy.engine.reflection.Inspector.get_columns")
@patch("sqlalchemy.engine.base.Engine.connect")
def test_vertica_ingestion(
self,
mock_connect,
get_columns,
get_pk_constraint,
get_unique_constraints,
get_schema_names,
get_table_names,
get_table_comment,
get_view_names,
get_view_definition,
):
get_schema_names.return_value = MOCK_GET_SCHEMA_NAMES
get_table_names.return_value = MOCK_GET_TABLE_NAMES
get_table_comment.return_value = GET_TABLE_DESCRIPTIONS
get_unique_constraints.return_value = MOCK_UNIQUE_CONSTRAINTS
get_pk_constraint.return_value = MOCK_PK_CONSTRAINT
get_columns.return_value = MOCK_GET_COLUMN
get_view_names.return_value = MOCK_GET_VIEW_NAMES
get_view_definition.return_value = MOCK_GET_VIEW_DEFINITION
execute_workflow()
config = json.loads(CONFIG)
file_data = open(config["sink"]["config"]["filename"])
data = json.load(file_data)
for i in data:
table = i.get("table")
_: OMetaDatabaseAndTable = OMetaDatabaseAndTable.parse_obj(i)
_: Table = Table.parse_obj(table)
assert table.get("description") == GET_TABLE_DESCRIPTIONS.get("text")
if table.get("tableType") == TableType.Regular.value:
assert table.get("name") in MOCK_GET_TABLE_NAMES
for column in table.get("columns"):
_: Column = Column.parse_obj(column)
if column in MOCK_UNIQUE_CONSTRAINTS[0].get("column_names"):
assert Column.constraint.UNIQUE == column.get("constraint")
if column in MOCK_PK_CONSTRAINT.get("constrained_columns"):
assert Column.constraint.PRIMARY_KEY == column.get("constraint")
if table.get("name") in MOCK_GET_VIEW_NAMES:
assert table.get("tableType") == TableType.View.value
assert table.get("viewDefinition") == MOCK_GET_VIEW_DEFINITION