superset superset_typing 源码
superset superset_typing 代码
文件路径：/superset/superset_typing.py
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
from datetime import datetime
from typing import Any, Dict, List, Optional, Sequence, Tuple, TYPE_CHECKING, Union
from typing_extensions import Literal, TypedDict
from werkzeug.wrappers import Response
if TYPE_CHECKING:
from superset.utils.core import GenericDataType
class LegacyMetric(TypedDict):
label: Optional[str]
class AdhocMetricColumn(TypedDict, total=False):
column_name: Optional[str]
description: Optional[str]
expression: Optional[str]
filterable: bool
groupby: bool
id: int
is_dttm: bool
python_date_format: Optional[str]
type: str
type_generic: "GenericDataType"
verbose_name: Optional[str]
class AdhocMetric(TypedDict, total=False):
aggregate: str
column: Optional[AdhocMetricColumn]
expressionType: Literal["SIMPLE", "SQL"]
hasCustomLabel: Optional[bool]
label: Optional[str]
sqlExpression: Optional[str]
class AdhocColumn(TypedDict, total=False):
hasCustomLabel: Optional[bool]
label: str
sqlExpression: str
columnType: Optional[Literal["BASE_AXIS", "SERIES"]]
timeGrain: Optional[str]
class ResultSetColumnType(TypedDict):
"""
Superset virtual dataset column interface
"""
name: str
type: Optional[str]
is_dttm: bool
CacheConfig = Dict[str, Any]
DbapiDescriptionRow = Tuple[
Union[str, bytes],
str,
Optional[str],
Optional[str],
Optional[int],
Optional[int],
bool,
]
DbapiDescription = Union[List[DbapiDescriptionRow], Tuple[DbapiDescriptionRow, ...]]
DbapiResult = Sequence[Union[List[Any], Tuple[Any, ...]]]
FilterValue = Union[bool, datetime, float, int, str]
FilterValues = Union[FilterValue, List[FilterValue], Tuple[FilterValue]]
FormData = Dict[str, Any]
Granularity = Union[str, Dict[str, Union[str, float]]]
Column = Union[AdhocColumn, str]
Metric = Union[AdhocMetric, str]
OrderBy = Tuple[Metric, bool]
QueryObjectDict = Dict[str, Any]
VizData = Optional[Union[List[Any], Dict[Any, Any]]]
VizPayload = Dict[str, Any]
# Flask response.
Base = Union[bytes, str]
Status = Union[int, str]
Headers = Dict[str, Any]
FlaskResponse = Union[
Response,
Base,
Tuple[Base, Status],
Tuple[Base, Status, Headers],
Tuple[Response, Status],
]
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