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fix: the temporal x-axis results in a none time_range. (#25429)
Co-authored-by: Elizabeth Thompson <eschutho@gmail.com>
This commit is contained in:
@@ -16,12 +16,21 @@
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# under the License.
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from __future__ import annotations
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from typing import Any, TYPE_CHECKING
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from typing import Any, cast, TYPE_CHECKING
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from superset.common.chart_data import ChartDataResultType
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from superset.common.query_object import QueryObject
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from superset.common.utils.time_range_utils import get_since_until_from_time_range
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from superset.utils.core import apply_max_row_limit, DatasourceDict, DatasourceType
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from superset.constants import NO_TIME_RANGE
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from superset.superset_typing import Column
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from superset.utils.core import (
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apply_max_row_limit,
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DatasourceDict,
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DatasourceType,
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FilterOperator,
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get_xaxis_label,
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QueryObjectFilterClause,
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)
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if TYPE_CHECKING:
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from sqlalchemy.orm import sessionmaker
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@@ -61,8 +70,11 @@ class QueryObjectFactory: # pylint: disable=too-few-public-methods
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processed_extras = self._process_extras(extras)
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result_type = kwargs.setdefault("result_type", parent_result_type)
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row_limit = self._process_row_limit(row_limit, result_type)
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processed_time_range = self._process_time_range(
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time_range, kwargs.get("filters"), kwargs.get("columns")
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)
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from_dttm, to_dttm = get_since_until_from_time_range(
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time_range, time_shift, processed_extras
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processed_time_range, time_shift, processed_extras
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)
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kwargs["from_dttm"] = from_dttm
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kwargs["to_dttm"] = to_dttm
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@@ -99,6 +111,33 @@ class QueryObjectFactory: # pylint: disable=too-few-public-methods
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)
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return apply_max_row_limit(row_limit or default_row_limit)
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@staticmethod
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def _process_time_range(
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time_range: str | None,
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filters: list[QueryObjectFilterClause] | None = None,
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columns: list[Column] | None = None,
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) -> str:
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if time_range is None:
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time_range = NO_TIME_RANGE
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temporal_flt = [
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flt
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for flt in filters or []
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if flt.get("op") == FilterOperator.TEMPORAL_RANGE
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]
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if temporal_flt:
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# Use the temporal filter as the time range.
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# if the temporal filters uses x-axis as the temporal filter
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# then use it or use the first temporal filter
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xaxis_label = get_xaxis_label(columns or [])
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match_flt = [
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flt for flt in temporal_flt if flt.get("col") == xaxis_label
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]
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if match_flt:
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time_range = cast(str, match_flt[0].get("val"))
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else:
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time_range = cast(str, temporal_flt[0].get("val"))
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return time_range
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# light version of the view.utils.core
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# import view.utils require application context
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# Todo: move it and the view.utils.core to utils package
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48
tests/unit_tests/common/test_process_time_range.py
Normal file
48
tests/unit_tests/common/test_process_time_range.py
Normal file
@@ -0,0 +1,48 @@
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# 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 superset.common.query_object_factory import QueryObjectFactory
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from superset.constants import NO_TIME_RANGE
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def test_process_time_range():
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"""
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correct empty time range
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"""
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assert QueryObjectFactory._process_time_range(None) == NO_TIME_RANGE
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"""
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Use the first temporal filter as time range
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"""
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filters = [
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{"col": "dttm", "op": "TEMPORAL_RANGE", "val": "2001 : 2002"},
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{"col": "dttm2", "op": "TEMPORAL_RANGE", "val": "2002 : 2003"},
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]
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assert QueryObjectFactory._process_time_range(None, filters) == "2001 : 2002"
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"""
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Use the BASE_AXIS temporal filter as time range
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"""
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columns = [
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{
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"columnType": "BASE_AXIS",
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"label": "dttm2",
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"sqlExpression": "dttm",
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}
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]
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assert (
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QueryObjectFactory._process_time_range(None, filters, columns) == "2002 : 2003"
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)
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