mirror of
https://github.com/apache/superset.git
synced 2026-04-09 19:35:21 +00:00
a04f1d4c87
* chore(cache): default to SimpleCache in debug mode * lint * clean up type * use util * fix integration test cache configs * remove util from cache manager * remove trailing comma * fix more tests * fix truthiness check * fix tests and improve deprecation notice * fix default cache threshold * move debug check to cache_manager * remove separate getter * update docs * remove default cache config
88 lines
2.7 KiB
Python
88 lines
2.7 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 datetime import datetime
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from typing import Any, Dict, List, Optional, Sequence, Tuple, TYPE_CHECKING, Union
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from typing_extensions import Literal, TypedDict
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from werkzeug.wrappers import Response
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if TYPE_CHECKING:
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from superset.utils.core import GenericDataType
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class LegacyMetric(TypedDict):
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label: Optional[str]
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class AdhocMetricColumn(TypedDict, total=False):
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column_name: Optional[str]
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description: Optional[str]
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expression: Optional[str]
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filterable: bool
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groupby: bool
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id: int
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is_dttm: bool
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python_date_format: Optional[str]
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type: str
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type_generic: "GenericDataType"
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verbose_name: Optional[str]
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class AdhocMetric(TypedDict, total=False):
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aggregate: str
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column: Optional[AdhocMetricColumn]
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expressionType: Literal["SIMPLE", "SQL"]
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hasCustomLabel: Optional[bool]
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label: Optional[str]
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sqlExpression: Optional[str]
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class AdhocColumn(TypedDict, total=False):
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hasCustomLabel: Optional[bool]
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label: Optional[str]
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sqlExpression: Optional[str]
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CacheConfig = Dict[str, Any]
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DbapiDescriptionRow = Tuple[
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str, str, Optional[str], Optional[str], Optional[int], Optional[int], bool
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]
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DbapiDescription = Union[List[DbapiDescriptionRow], Tuple[DbapiDescriptionRow, ...]]
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DbapiResult = Sequence[Union[List[Any], Tuple[Any, ...]]]
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FilterValue = Union[bool, datetime, float, int, str]
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FilterValues = Union[FilterValue, List[FilterValue], Tuple[FilterValue]]
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FormData = Dict[str, Any]
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Granularity = Union[str, Dict[str, Union[str, float]]]
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Column = Union[AdhocColumn, str]
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Metric = Union[AdhocMetric, str]
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OrderBy = Tuple[Metric, bool]
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QueryObjectDict = Dict[str, Any]
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VizData = Optional[Union[List[Any], Dict[Any, Any]]]
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VizPayload = Dict[str, Any]
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# Flask response.
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Base = Union[bytes, str]
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Status = Union[int, str]
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Headers = Dict[str, Any]
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FlaskResponse = Union[
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Response,
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Base,
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Tuple[Base, Status],
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Tuple[Base, Status, Headers],
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Tuple[Response, Status],
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]
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