
Support for the ``/v2/dataframes`` endpoint has been added to the client. A new ``dataframes add`` CLI command is also available. Change-Id: I7fe9072d7280f251edc865a653a0b9ed2ab26c90 Story: 2005890 Task: 35970
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# Copyright 2019 Objectif Libre
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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#
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import json
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import six
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from cloudkittyclient.common import base
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from cloudkittyclient import exc
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class DataframesManager(base.BaseManager):
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"""Class used to handle /v2/dataframes endpoint"""
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url = '/v2/dataframes'
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def add_dataframes(self, **kwargs):
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"""Add DataFrames to the storage backend. Returns nothing.
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:param dataframes: List of dataframes to add to the storage backend.
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:type dataframes: list of dataframes
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"""
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dataframes = kwargs.get('dataframes')
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if not dataframes:
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raise exc.ArgumentRequired("'dataframes' argument is required")
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if not isinstance(dataframes, six.string_types):
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try:
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dataframes = json.dumps(dataframes)
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except TypeError:
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raise exc.InvalidArgumentError(
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"'dataframes' must be either a string"
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"or a JSON serializable object.")
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url = self.get_url(None, kwargs)
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return self.api_client.post(
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url,
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data=dataframes,
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)
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