mirror of
https://github.com/apache/superset.git
synced 2024-09-19 03:59:49 -04:00
4675ca31c5
* refactor: replace the way the birth_names data is loaded to DB * fix failed unit test * fix failed unit test * fix failed tests * fix pass wrong flag of support datetime type * remove unused fixture
65 lines
2.0 KiB
Python
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, Dict
|
|
|
|
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({})
|