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refactor(QueryContext): move df methods utils to utils package (#17496)
* chore(common.utils): modified utils from module based to package based * refactor(common.utils): move QueryCacheManager to ad-hoc module * refactor(QueryContext): move df method utils to utils module
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# 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. |
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# 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 __future__ import annotations | ||
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from typing import List, TYPE_CHECKING | ||
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import numpy as np | ||
import pandas as pd | ||
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if TYPE_CHECKING: | ||
from superset.common.query_object import QueryObject | ||
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def left_join_df( | ||
left_df: pd.DataFrame, right_df: pd.DataFrame, join_keys: List[str], | ||
) -> pd.DataFrame: | ||
df = left_df.set_index(join_keys).join(right_df.set_index(join_keys)) | ||
df.reset_index(inplace=True) | ||
return df | ||
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def df_metrics_to_num(df: pd.DataFrame, query_object: QueryObject) -> None: | ||
"""Converting metrics to numeric when pandas.read_sql cannot""" | ||
for col, dtype in df.dtypes.items(): | ||
if dtype.type == np.object_ and col in query_object.metric_names: | ||
# soft-convert a metric column to numeric | ||
# will stay as strings if conversion fails | ||
df[col] = df[col].infer_objects() |
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