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402 lines
13 KiB
Python
402 lines
13 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=import-outside-toplevel, invalid-name, line-too-long
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import json
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import pandas as pd
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import pytest
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from pytest_mock import MockFixture
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from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
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from superset.exceptions import SupersetException
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from superset.sql_parse import Table
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class ProgrammingError(Exception):
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"""
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Dummy ProgrammingError so we don't need to import the optional gsheets.
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"""
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def test_validate_parameters_simple() -> None:
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from superset.db_engine_specs.gsheets import (
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GSheetsEngineSpec,
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GSheetsPropertiesType,
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)
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properties: GSheetsPropertiesType = {
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"parameters": {
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"service_account_info": "",
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"catalog": {},
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},
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"catalog": {},
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}
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errors = GSheetsEngineSpec.validate_parameters(properties)
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assert errors == [
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SupersetError(
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message="Sheet name is required",
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error_type=SupersetErrorType.CONNECTION_MISSING_PARAMETERS_ERROR,
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level=ErrorLevel.WARNING,
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extra={"catalog": {"idx": 0, "name": True}},
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),
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]
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def test_validate_parameters_simple_with_in_root_catalog() -> None:
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from superset.db_engine_specs.gsheets import (
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GSheetsEngineSpec,
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GSheetsPropertiesType,
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)
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properties: GSheetsPropertiesType = {
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"parameters": {
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"service_account_info": "",
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"catalog": {},
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},
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"catalog": {},
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}
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errors = GSheetsEngineSpec.validate_parameters(properties)
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assert errors == [
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SupersetError(
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message="Sheet name is required",
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error_type=SupersetErrorType.CONNECTION_MISSING_PARAMETERS_ERROR,
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level=ErrorLevel.WARNING,
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extra={"catalog": {"idx": 0, "name": True}},
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),
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]
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def test_validate_parameters_catalog(
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mocker: MockFixture,
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) -> None:
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from superset.db_engine_specs.gsheets import (
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GSheetsEngineSpec,
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GSheetsPropertiesType,
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)
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g = mocker.patch("superset.db_engine_specs.gsheets.g")
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g.user.email = "admin@example.com"
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create_engine = mocker.patch("superset.db_engine_specs.gsheets.create_engine")
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conn = create_engine.return_value.connect.return_value
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results = conn.execute.return_value
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results.fetchall.side_effect = [
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ProgrammingError("The caller does not have permission"),
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[(1,)],
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ProgrammingError("Unsupported table: https://www.google.com/"),
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]
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properties: GSheetsPropertiesType = {
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"parameters": {"service_account_info": "", "catalog": None},
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"catalog": {
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"private_sheet": "https://docs.google.com/spreadsheets/d/1/edit",
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"public_sheet": "https://docs.google.com/spreadsheets/d/1/edit#gid=1",
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"not_a_sheet": "https://www.google.com/",
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},
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}
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errors = GSheetsEngineSpec.validate_parameters(properties) # ignore: type
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assert errors == [
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SupersetError(
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message=(
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"The URL could not be identified. Please check for typos "
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"and make sure that ‘Type of Google Sheets allowed’ "
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"selection matches the input."
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),
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error_type=SupersetErrorType.TABLE_DOES_NOT_EXIST_ERROR,
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level=ErrorLevel.WARNING,
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extra={
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"catalog": {
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"idx": 0,
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"url": True,
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},
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"issue_codes": [
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{
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"code": 1003,
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"message": "Issue 1003 - There is a syntax error in the SQL query. Perhaps there was a misspelling or a typo.",
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},
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{
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"code": 1005,
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"message": "Issue 1005 - The table was deleted or renamed in the database.",
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},
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],
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},
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),
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SupersetError(
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message=(
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"The URL could not be identified. Please check for typos "
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"and make sure that ‘Type of Google Sheets allowed’ "
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"selection matches the input."
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),
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error_type=SupersetErrorType.TABLE_DOES_NOT_EXIST_ERROR,
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level=ErrorLevel.WARNING,
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extra={
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"catalog": {
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"idx": 2,
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"url": True,
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},
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"issue_codes": [
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{
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"code": 1003,
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"message": "Issue 1003 - There is a syntax error in the SQL query. Perhaps there was a misspelling or a typo.",
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},
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{
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"code": 1005,
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"message": "Issue 1005 - The table was deleted or renamed in the database.",
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},
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],
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},
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),
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]
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create_engine.assert_called_with(
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"gsheets://",
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service_account_info={},
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subject="admin@example.com",
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)
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def test_validate_parameters_catalog_and_credentials(
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mocker: MockFixture,
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) -> None:
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from superset.db_engine_specs.gsheets import (
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GSheetsEngineSpec,
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GSheetsPropertiesType,
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)
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g = mocker.patch("superset.db_engine_specs.gsheets.g")
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g.user.email = "admin@example.com"
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create_engine = mocker.patch("superset.db_engine_specs.gsheets.create_engine")
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conn = create_engine.return_value.connect.return_value
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results = conn.execute.return_value
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results.fetchall.side_effect = [
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[(2,)],
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[(1,)],
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ProgrammingError("Unsupported table: https://www.google.com/"),
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]
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properties: GSheetsPropertiesType = {
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"parameters": {
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"service_account_info": "",
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"catalog": None,
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},
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"catalog": {
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"private_sheet": "https://docs.google.com/spreadsheets/d/1/edit",
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"public_sheet": "https://docs.google.com/spreadsheets/d/1/edit#gid=1",
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"not_a_sheet": "https://www.google.com/",
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},
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}
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errors = GSheetsEngineSpec.validate_parameters(properties) # ignore: type
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assert errors == [
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SupersetError(
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message=(
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"The URL could not be identified. Please check for typos "
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"and make sure that ‘Type of Google Sheets allowed’ "
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"selection matches the input."
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),
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error_type=SupersetErrorType.TABLE_DOES_NOT_EXIST_ERROR,
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level=ErrorLevel.WARNING,
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extra={
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"catalog": {
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"idx": 2,
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"url": True,
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},
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"issue_codes": [
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{
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"code": 1003,
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"message": "Issue 1003 - There is a syntax error in the SQL query. Perhaps there was a misspelling or a typo.",
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},
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{
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"code": 1005,
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"message": "Issue 1005 - The table was deleted or renamed in the database.",
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},
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],
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},
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)
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]
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create_engine.assert_called_with(
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"gsheets://",
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service_account_info={},
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subject="admin@example.com",
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)
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def test_unmask_encrypted_extra() -> None:
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"""
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Test that the private key can be reused from the previous ``encrypted_extra``.
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"""
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from superset.db_engine_specs.gsheets import GSheetsEngineSpec
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old = json.dumps(
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{
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"service_account_info": {
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"project_id": "black-sanctum-314419",
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"private_key": "SECRET",
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},
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}
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)
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new = json.dumps(
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{
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"service_account_info": {
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"project_id": "yellow-unicorn-314419",
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"private_key": "XXXXXXXXXX",
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},
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}
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)
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assert json.loads(str(GSheetsEngineSpec.unmask_encrypted_extra(old, new))) == {
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"service_account_info": {
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"project_id": "yellow-unicorn-314419",
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"private_key": "SECRET",
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},
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}
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def test_unmask_encrypted_extra_when_old_is_none() -> None:
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"""
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Test that a None value works for ``encrypted_extra``.
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"""
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from superset.db_engine_specs.gsheets import GSheetsEngineSpec
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old = None
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new = json.dumps(
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{
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"service_account_info": {
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"project_id": "yellow-unicorn-314419",
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"private_key": "XXXXXXXXXX",
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},
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}
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)
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assert json.loads(str(GSheetsEngineSpec.unmask_encrypted_extra(old, new))) == {
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"service_account_info": {
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"project_id": "yellow-unicorn-314419",
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"private_key": "XXXXXXXXXX",
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},
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}
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def test_unmask_encrypted_extra_when_new_is_none() -> None:
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"""
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Test that a None value works for ``encrypted_extra``.
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"""
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from superset.db_engine_specs.gsheets import GSheetsEngineSpec
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old = json.dumps(
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{
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"service_account_info": {
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"project_id": "yellow-unicorn-314419",
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"private_key": "XXXXXXXXXX",
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},
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}
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)
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new = None
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assert GSheetsEngineSpec.unmask_encrypted_extra(old, new) is None
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def test_upload_new(mocker: MockFixture) -> None:
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"""
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Test file upload when the table does not exist.
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"""
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from superset.db_engine_specs.gsheets import GSheetsEngineSpec
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mocker.patch("superset.db_engine_specs.gsheets.db")
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get_adapter_for_table_name = mocker.patch(
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"shillelagh.backends.apsw.dialects.base.get_adapter_for_table_name"
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)
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session = get_adapter_for_table_name()._get_session()
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session.post().json.return_value = {
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"spreadsheetId": 1,
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"spreadsheetUrl": "https://docs.example.org",
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"sheets": [{"properties": {"title": "sample_data"}}],
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}
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database = mocker.MagicMock()
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database.get_extra.return_value = {}
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df = pd.DataFrame({"col": [1, "foo", 3.0]})
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table = Table("sample_data")
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GSheetsEngineSpec.df_to_sql(database, table, df, {})
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assert database.extra == json.dumps(
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{"engine_params": {"catalog": {"sample_data": "https://docs.example.org"}}}
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)
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def test_upload_existing(mocker: MockFixture) -> None:
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"""
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Test file upload when the table does exist.
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"""
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from superset.db_engine_specs.gsheets import GSheetsEngineSpec
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mocker.patch("superset.db_engine_specs.gsheets.db")
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get_adapter_for_table_name = mocker.patch(
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"shillelagh.backends.apsw.dialects.base.get_adapter_for_table_name"
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)
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adapter = get_adapter_for_table_name()
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adapter._spreadsheet_id = 1
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adapter._sheet_name = "sheet0"
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session = adapter._get_session()
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session.post().json.return_value = {
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"spreadsheetId": 1,
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"spreadsheetUrl": "https://docs.example.org",
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"sheets": [{"properties": {"title": "sample_data"}}],
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}
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database = mocker.MagicMock()
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database.get_extra.return_value = {
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"engine_params": {"catalog": {"sample_data": "https://docs.example.org"}}
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}
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df = pd.DataFrame({"col": [1, "foo", 3.0]})
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table = Table("sample_data")
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with pytest.raises(SupersetException) as excinfo:
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GSheetsEngineSpec.df_to_sql(database, table, df, {"if_exists": "append"})
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assert str(excinfo.value) == "Append operation not currently supported"
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with pytest.raises(SupersetException) as excinfo:
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GSheetsEngineSpec.df_to_sql(database, table, df, {"if_exists": "fail"})
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assert str(excinfo.value) == "Table already exists"
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GSheetsEngineSpec.df_to_sql(database, table, df, {"if_exists": "replace"})
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session.post.assert_has_calls(
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[
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mocker.call(),
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mocker.call(
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"https://sheets.googleapis.com/v4/spreadsheets/1/values/sheet0:clear",
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json={},
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),
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mocker.call().json(),
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mocker.call(
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"https://sheets.googleapis.com/v4/spreadsheets/1/values/sheet0:append",
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json={
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"range": "sheet0",
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"majorDimension": "ROWS",
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"values": [["col"], [1], ["foo"], [3.0]],
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},
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params={"valueInputOption": "USER_ENTERED"},
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),
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mocker.call().json(),
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]
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)
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