"""
The tool to check the availability or syntax of domain, IP or URL.
::
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Provides the base of all WHOIS related dataset.
Author:
Nissar Chababy, @funilrys, contactTATAfunilrysTODTODcom
Special thanks:
https://pyfunceble.github.io/#/special-thanks
Contributors:
https://pyfunceble.github.io/#/contributors
Project link:
https://github.com/funilrys/PyFunceble
Project documentation:
https://pyfunceble.readthedocs.io/en/latest/
Project homepage:
https://pyfunceble.github.io/
License:
::
Copyright 2017, 2018, 2019, 2020, 2021 Nissar Chababy
Licensed 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 datetime import datetime
from typing import List, Union
from PyFunceble.database.sqlalchemy.all_schemas import WhoisRecord
from PyFunceble.dataset.db_base import DBDatasetBase
[docs]class WhoisDatasetBase(DBDatasetBase):
"""
Provides the base of all Whois related interface.
"""
FIELDS: List[str] = ["subject", "idna_subject", "expiration_date", "epoch"]
COMPARISON_FIELDS: List[str] = ["subject", "idna_subject"]
[docs] @staticmethod
def is_expired(row: Union[dict, WhoisRecord]) -> bool:
"""
Given a row, we look if the row is expired.
"""
if isinstance(row, WhoisRecord):
to_check = row.epoch
elif "epoch" in row:
to_check = row["epoch"]
else:
return True
return datetime.utcnow() > datetime.fromtimestamp(float(to_check))
[docs] @DBDatasetBase.execute_if_authorized(None)
def get_filtered_row(self, row: Union[dict, WhoisRecord]) -> dict:
"""
Removes all unkowns fields (not declared) from the given row.
:param row:
The row to work with.
"""
if isinstance(row, WhoisDatasetBase):
row = row.to_dict()
result = super().get_filtered_row(row)
if "epoch" in result and isinstance(result["epoch"], float):
# We do this here because we have to convert to a string in
# order to be able to write into the CSV file.
result["epoch"] = str(result["epoch"])
return result