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https://github.com/apache/superset.git
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e3e37cb68f
* rename and move dao file * Update dao.py * add cachekey * Update __init__.py * change reference in query context test * add utils ref * more ref changes * add helpers * add todo in dashboard.py * add cachekey * circular import error in dar.py * push rest of refs * fix linting * fix more linting * update enum * remove references for connector registry * big reafctor * take value * fix * test to see if removing value works * delete connectregistry * address concerns * address comments * fix merge conflicts * address concern II * address concern II * fix test Co-authored-by: Phillip Kelley-Dotson <pkelleydotson@yahoo.com>
88 lines
3.2 KiB
Python
88 lines
3.2 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 __future__ import annotations
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from typing import Any, Dict, List, Optional, TYPE_CHECKING
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from superset import app, db
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from superset.common.chart_data import ChartDataResultFormat, ChartDataResultType
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from superset.common.query_context import QueryContext
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from superset.common.query_object_factory import QueryObjectFactory
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from superset.datasource.dao import DatasourceDAO
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from superset.utils.core import DatasourceDict, DatasourceType
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if TYPE_CHECKING:
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from superset.connectors.base.models import BaseDatasource
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config = app.config
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def create_query_object_factory() -> QueryObjectFactory:
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return QueryObjectFactory(config, DatasourceDAO(), db.session)
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class QueryContextFactory: # pylint: disable=too-few-public-methods
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_query_object_factory: QueryObjectFactory
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def __init__(self) -> None:
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self._query_object_factory = create_query_object_factory()
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def create(
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self,
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*,
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datasource: DatasourceDict,
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queries: List[Dict[str, Any]],
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form_data: Optional[Dict[str, Any]] = None,
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result_type: Optional[ChartDataResultType] = None,
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result_format: Optional[ChartDataResultFormat] = None,
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force: bool = False,
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custom_cache_timeout: Optional[int] = None,
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) -> QueryContext:
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datasource_model_instance = None
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if datasource:
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datasource_model_instance = self._convert_to_model(datasource)
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result_type = result_type or ChartDataResultType.FULL
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result_format = result_format or ChartDataResultFormat.JSON
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queries_ = [
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self._query_object_factory.create(
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result_type, datasource=datasource, **query_obj
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)
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for query_obj in queries
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]
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cache_values = {
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"datasource": datasource,
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"queries": queries,
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"result_type": result_type,
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"result_format": result_format,
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}
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return QueryContext(
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datasource=datasource_model_instance,
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queries=queries_,
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form_data=form_data,
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result_type=result_type,
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result_format=result_format,
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force=force,
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custom_cache_timeout=custom_cache_timeout,
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cache_values=cache_values,
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)
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# pylint: disable=no-self-use
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def _convert_to_model(self, datasource: DatasourceDict) -> BaseDatasource:
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return DatasourceDAO.get_datasource(
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db.session, DatasourceType(datasource["type"]), int(datasource["id"])
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)
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