# 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. # pylint: disable=R from typing import Dict, List, Optional from superset import app from superset.utils import core as utils # TODO: Type Metrics dictionary with TypedDict when it becomes a vanilla python type # https://github.com/python/mypy/issues/5288 Metric = Dict class QueryObject: """ The query object's schema matches the interfaces of DB connectors like sqla and druid. The query objects are constructed on the client. """ def __init__( self, granularity: str, groupby: List[str] = None, metrics: List[Metric] = None, filters: List[str] = None, time_range: Optional[str] = None, time_shift: Optional[str] = None, is_timeseries: bool = False, row_limit: int = app.config.get('ROW_LIMIT'), limit: int = 0, timeseries_limit_metric: Optional[Metric] = None, order_desc: bool = True, extras: Optional[Dict] = None, ): self.granularity = granularity self.from_dttm, self.to_dttm = utils.get_since_until(time_range, time_shift) self.is_timeseries = is_timeseries self.groupby = groupby or [] self.metrics = metrics or [] self.filter = filters or [] self.row_limit = row_limit self.timeseries_limit = int(limit) self.timeseries_limit_metric = timeseries_limit_metric self.order_desc = order_desc self.prequeries = [] self.is_prequery = False self.extras = extras def to_dict(self): raise NotImplementedError()