python-cloudkittyclient/cloudkittyclient/tests/unit/v2/test_dataframes.py

173 lines
5.9 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 collections import OrderedDict
from cloudkittyclient import exc
from cloudkittyclient.tests.unit.v2 import base
class TestDataframes(base.BaseAPIEndpointTestCase):
dataframes_data = """
{
"dataframes": [
{
"period": {
"begin": "20190723T122810Z",
"end": "20190723T132810Z"
},
"usage": {
"metric_one": [
{
"vol": {
"unit": "GiB",
"qty": 1.2
},
"rating": {
"price": 0.04
},
"groupby": {
"group_one": "one",
"group_two": "two"
},
"metadata": {
"attr_one": "one",
"attr_two": "two"
}
}
],
"metric_two": [
{
"vol": {
"unit": "MB",
"qty": 200.4
},
"rating": {
"price": 0.06
},
"groupby": {
"group_one": "one",
"group_two": "two"
},
"metadata": {
"attr_one": "one",
"attr_two": "two"
}
}
]
}
},
{
"period": {
"begin": "20190823T122810Z",
"end": "20190823T132810Z"
},
"usage": {
"metric_one": [
{
"vol": {
"unit": "GiB",
"qty": 2.4
},
"rating": {
"price": 0.08
},
"groupby": {
"group_one": "one",
"group_two": "two"
},
"metadata": {
"attr_one": "one",
"attr_two": "two"
}
}
],
"metric_two": [
{
"vol": {
"unit": "MB",
"qty": 400.8
},
"rating": {
"price": 0.12
},
"groupby": {
"group_one": "one",
"group_two": "two"
},
"metadata": {
"attr_one": "one",
"attr_two": "two"
}
}
]
}
}
]
}
"""
def test_add_dataframes_with_string(self):
self.dataframes.add_dataframes(
dataframes=self.dataframes_data,
)
self.api_client.post.assert_called_once_with(
'/v2/dataframes',
data=self.dataframes_data,
)
def test_add_dataframes_with_json_object(self):
json_data = json.loads(self.dataframes_data)
self.dataframes.add_dataframes(
dataframes=json_data,
)
self.api_client.post.assert_called_once_with(
'/v2/dataframes',
data=json.dumps(json_data),
)
def test_add_dataframes_with_neither_string_nor_object_raises_exc(self):
self.assertRaises(
exc.InvalidArgumentError,
self.dataframes.add_dataframes,
dataframes=[open],
)
def test_add_dataframes_with_no_args_raises_exc(self):
self.assertRaises(
exc.ArgumentRequired,
self.dataframes.add_dataframes)
def test_get_dataframes(self):
self.dataframes.get_dataframes()
self.api_client.get.assert_called_once_with('/v2/dataframes')
def test_get_dataframes_with_pagination_args(self):
self.dataframes.get_dataframes(offset=10, limit=10)
try:
self.api_client.get.assert_called_once_with(
'/v2/dataframes?limit=10&offset=10')
except AssertionError:
self.api_client.get.assert_called_once_with(
'/v2/dataframes?offset=10&limit=10')
def test_get_dataframes_filters(self):
self.dataframes.get_dataframes(
filters=OrderedDict([('one', 'two'), ('three', 'four')]))
self.api_client.get.assert_called_once_with(
'/v2/dataframes?filters=one%3Atwo%2Cthree%3Afour')