mirror of https://github.com/apache/superset.git
316 lines
10 KiB
Python
316 lines
10 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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from copy import deepcopy
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from importlib import import_module
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from typing import Any
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migrate_time_comparison_to_new_format = import_module(
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"superset.migrations.versions."
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"2024-05-10_18-02_f84fde59123a_update_charts_with_old_time_comparison",
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)
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downgrade_comparison_params = (
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migrate_time_comparison_to_new_format.downgrade_comparison_params
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)
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upgrade_comparison_params = (
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migrate_time_comparison_to_new_format.upgrade_comparison_params
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)
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params_v1_with_custom: dict[str, Any] = {
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"datasource": "2__table",
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"viz_type": "pop_kpi",
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"metric": {
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"expressionType": "SIMPLE",
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"column": {
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"advanced_data_type": None,
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"certification_details": None,
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"certified_by": None,
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"column_name": "num_boys",
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"description": None,
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"expression": None,
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"filterable": True,
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"groupby": True,
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"id": 334,
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"is_certified": False,
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"is_dttm": False,
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"python_date_format": None,
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"type": "BIGINT",
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"type_generic": 0,
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"verbose_name": None,
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"warning_markdown": None,
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},
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"aggregate": "SUM",
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"sqlExpression": None,
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"datasourceWarning": False,
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"hasCustomLabel": False,
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"label": "SUM(num_boys)",
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"optionName": "metric_o6rj1h6jty_3t6mrruogfv",
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},
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"adhoc_filters": [
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{
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"expressionType": "SIMPLE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "1984 : 1986",
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"clause": "WHERE",
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"sqlExpression": None,
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"isExtra": False,
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"isNew": False,
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"datasourceWarning": False,
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"filterOptionName": "filter_p50i4xw50d_8x8e4ypwjs8",
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}
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],
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"row_limit": 10000,
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"y_axis_format": "SMART_NUMBER",
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"percentDifferenceFormat": "SMART_NUMBER",
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"header_font_size": 0.2,
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"subheader_font_size": 0.125,
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"comparison_color_scheme": "Green",
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"extra_form_data": {},
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"dashboards": [],
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"time_comparison": "c",
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"enable_time_comparison": True,
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"adhoc_custom": [
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{
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"expressionType": "SIMPLE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "1981-01-01 : 1983-01-01",
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"clause": "WHERE",
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"sqlExpression": None,
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"isExtra": False,
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"isNew": False,
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"datasourceWarning": False,
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}
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],
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}
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params_v1_other_than_custom: dict[str, Any] = {
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"datasource": "2__table",
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"viz_type": "pop_kpi",
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"metric": {
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"expressionType": "SIMPLE",
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"column": {
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"advanced_data_type": None,
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"certification_details": None,
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"certified_by": None,
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"column_name": "num_boys",
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"description": None,
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"expression": None,
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"filterable": True,
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"groupby": True,
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"id": 334,
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"is_certified": False,
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"is_dttm": False,
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"python_date_format": None,
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"type": "BIGINT",
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"type_generic": 0,
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"verbose_name": None,
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"warning_markdown": None,
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},
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"aggregate": "SUM",
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"sqlExpression": None,
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"datasourceWarning": False,
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"hasCustomLabel": False,
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"label": "SUM(num_boys)",
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"optionName": "metric_96s7b8iypsr_4wrlgm0i7il",
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},
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"adhoc_filters": [
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{
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"expressionType": "SIMPLE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "1984 : 2000",
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"clause": "WHERE",
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"sqlExpression": None,
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"isExtra": False,
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"isNew": False,
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"datasourceWarning": False,
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"filterOptionName": "filter_2sefqq1rwb7_lhqvw7ukc6",
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}
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],
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"row_limit": 10000,
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"y_axis_format": "SMART_NUMBER",
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"percentDifferenceFormat": "SMART_NUMBER",
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"header_font_size": 0.2,
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"subheader_font_size": 0.125,
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"comparison_color_scheme": "Green",
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"extra_form_data": {},
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"dashboards": [],
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"time_comparison": "r",
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"enable_time_comparison": True,
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"adhoc_custom": [
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{
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"clause": "WHERE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "No filter",
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"expressionType": "SIMPLE",
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}
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],
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}
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params_v2_with_custom: dict[str, Any] = {
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"datasource": "2__table",
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"viz_type": "pop_kpi",
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"metric": {
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"expressionType": "SIMPLE",
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"column": {
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"advanced_data_type": None,
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"certification_details": None,
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"certified_by": None,
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"column_name": "num_boys",
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"description": None,
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"expression": None,
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"filterable": True,
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"groupby": True,
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"id": 334,
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"is_certified": False,
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"is_dttm": False,
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"python_date_format": None,
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"type": "BIGINT",
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"type_generic": 0,
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"verbose_name": None,
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"warning_markdown": None,
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},
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"aggregate": "SUM",
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"sqlExpression": None,
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"datasourceWarning": False,
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"hasCustomLabel": False,
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"label": "SUM(num_boys)",
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"optionName": "metric_o6rj1h6jty_3t6mrruogfv",
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},
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"adhoc_filters": [
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{
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"expressionType": "SIMPLE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "1984 : 1986",
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"clause": "WHERE",
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"sqlExpression": None,
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"isExtra": False,
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"isNew": False,
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"datasourceWarning": False,
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"filterOptionName": "filter_p50i4xw50d_8x8e4ypwjs8",
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}
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],
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"row_limit": 10000,
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"y_axis_format": "SMART_NUMBER",
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"percentDifferenceFormat": "SMART_NUMBER",
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"header_font_size": 0.2,
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"subheader_font_size": 0.125,
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"comparison_color_scheme": "Green",
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"extra_form_data": {},
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"dashboards": [],
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"time_compare": "custom",
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"comparison_type": "values",
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"start_date_offset": "1981-01-01",
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}
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params_v2_other_than_custom: dict[str, Any] = {
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"datasource": "2__table",
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"viz_type": "pop_kpi",
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"metric": {
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"expressionType": "SIMPLE",
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"column": {
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"advanced_data_type": None,
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"certification_details": None,
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"certified_by": None,
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"column_name": "num_boys",
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"description": None,
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"expression": None,
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"filterable": True,
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"groupby": True,
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"id": 334,
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"is_certified": False,
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"is_dttm": False,
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"python_date_format": None,
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"type": "BIGINT",
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"type_generic": 0,
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"verbose_name": None,
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"warning_markdown": None,
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},
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"aggregate": "SUM",
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"sqlExpression": None,
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"datasourceWarning": False,
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"hasCustomLabel": False,
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"label": "SUM(num_boys)",
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"optionName": "metric_96s7b8iypsr_4wrlgm0i7il",
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},
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"adhoc_filters": [
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{
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"expressionType": "SIMPLE",
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"subject": "ds",
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"operator": "TEMPORAL_RANGE",
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"comparator": "1984 : 2000",
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"clause": "WHERE",
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"sqlExpression": None,
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"isExtra": False,
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"isNew": False,
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"datasourceWarning": False,
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"filterOptionName": "filter_2sefqq1rwb7_lhqvw7ukc6",
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}
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],
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"row_limit": 10000,
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"y_axis_format": "SMART_NUMBER",
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"percentDifferenceFormat": "SMART_NUMBER",
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"header_font_size": 0.2,
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"subheader_font_size": 0.125,
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"comparison_color_scheme": "Green",
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"extra_form_data": {},
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"dashboards": [],
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"time_compare": "inherit",
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"comparison_type": "values",
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}
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def test_upgrade_chart_params_with_custom():
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"""
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ensure that the new time comparison params are added
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"""
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original_params = deepcopy(params_v1_with_custom)
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upgraded_params = upgrade_comparison_params(original_params)
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assert upgraded_params == params_v2_with_custom
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def test_downgrade_chart_params_with_custom():
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"""
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ensure that the params downgrade operation produces an almost identical dict
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as the original value
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"""
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original_params = deepcopy(params_v2_with_custom)
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downgraded_params = downgrade_comparison_params(original_params)
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# Ignore any property called filterOptionName simce that uses a random hash
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for adhoc_custom in downgraded_params["adhoc_custom"]:
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adhoc_custom.pop("filterOptionName", None)
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assert downgraded_params == params_v1_with_custom
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def test_upgrade_chart_params_other_than_custom():
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"""
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ensure that the new time comparison params are added
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"""
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original_params = deepcopy(params_v1_other_than_custom)
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upgraded_params = upgrade_comparison_params(original_params)
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assert upgraded_params == params_v2_other_than_custom
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def test_downgrade_chart_params_other_than_custom():
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"""
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ensure that the params downgrade operation produces an almost identical dict
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as the original value
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"""
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original_params = deepcopy(params_v2_other_than_custom)
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downgraded_params = downgrade_comparison_params(original_params)
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assert downgraded_params == params_v1_other_than_custom
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