Files
python-cloudkittyclient/cloudkittyclient/v2/dataframes.py
Justin Ferrieu 2a3dd279dc Add support for GET /v2/dataframes API endpoint to the client
Support for the ``GET /v2/dataframes`` endpoint has been added
to the client. A new ``dataframes get`` CLI command is also available.

Story: 2005890
Task: 36384
Depends-On: https://review.opendev.org/#/c/679636
Change-Id: Idfe93025e0f740906d0f53f33547c7746fc15169
2020-09-08 12:49:29 +00:00

78 lines
2.6 KiB
Python

# Copyright 2019 Objectif Libre
#
# 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.
#
import json
from cloudkittyclient.common import base
from cloudkittyclient import exc
class DataframesManager(base.BaseManager):
"""Class used to handle /v2/dataframes endpoint"""
url = '/v2/dataframes'
def add_dataframes(self, **kwargs):
"""Add DataFrames to the storage backend. Returns nothing.
:param dataframes: List of dataframes to add to the storage backend.
:type dataframes: list of dataframes
"""
dataframes = kwargs.get('dataframes')
if not dataframes:
raise exc.ArgumentRequired("'dataframes' argument is required")
if not isinstance(dataframes, str):
try:
dataframes = json.dumps(dataframes)
except TypeError:
raise exc.InvalidArgumentError(
"'dataframes' must be either a string"
"or a JSON serializable object.")
url = self.get_url(None, kwargs)
return self.api_client.post(
url,
data=dataframes,
)
def get_dataframes(self, **kwargs):
"""Returns a paginated list of DataFrames.
This support filters and datetime framing.
:param offset: Index of the first dataframe that should be returned.
:type offset: int
:param limit: Maximal number of dataframes to return.
:type limit: int
:param filters: Optional dict of filters to select data on.
:type filters: dict
:param begin: Start of the period to gather data from
:type begin: datetime.datetime
:param end: End of the period to gather data from
:type end: datetime.datetime
"""
kwargs['filters'] = ','.join(
'{}:{}'.format(k, v) for k, v in
(kwargs.get('filters', None) or {}).items()
)
authorized_args = [
'offset', 'limit', 'filters', 'begin', 'end']
url = self.get_url(None, kwargs, authorized_args=authorized_args)
return self.api_client.get(url).json()