superset/tests/example_data/data_loading/pandas/pands_data_loading_conf.py

65 lines
2.0 KiB
Python

# 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
from typing import Any
default_pandas_data_loader_config = {
"if_exists": "replace",
"chunksize": 500,
"index": False,
"method": "multi",
"strftime": "%Y-%m-%d %H:%M:%S",
"support_datetime_type": False,
}
class PandasLoaderConfigurations:
if_exists: str
chunksize: int
index: bool
method: str
strftime: str
support_datetime_type: bool
def __init__(
self,
*,
if_exists: str,
chunksize: int,
index: bool,
method: str,
strftime: str,
support_datetime_type: bool,
):
self.if_exists = if_exists
self.chunksize = chunksize
self.index = index
self.method = method
self.strftime = strftime
self.support_datetime_type = support_datetime_type
@classmethod
def make_from_dict(cls, _dict: dict[str, Any]) -> PandasLoaderConfigurations:
copy_dict = default_pandas_data_loader_config.copy()
copy_dict.update(_dict)
return PandasLoaderConfigurations(**copy_dict) # type: ignore
@classmethod
def make_default(cls) -> PandasLoaderConfigurations:
return cls.make_from_dict({})