108 lines
3.2 KiB
Python
108 lines
3.2 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 flask
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from oslo_config import cfg
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import voluptuous
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from werkzeug import exceptions as http_exceptions
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from cloudkitty.api.v2 import base
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from cloudkitty.api.v2 import utils as api_utils
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from cloudkitty.common import policy
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from cloudkitty import dataframe
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from cloudkitty import tzutils
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CONF = cfg.CONF
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CONF.import_opt('scope_key', 'cloudkitty.collector', 'collect')
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class DataFrameList(base.BaseResource):
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@api_utils.add_input_schema('body', {
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voluptuous.Required('dataframes'): [dataframe.DataFrame.from_dict],
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})
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def post(self, dataframes=[]):
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policy.authorize(
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flask.request.context,
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'dataframes:add',
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{},
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)
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if not dataframes:
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raise http_exceptions.BadRequest(
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"Parameter dataframes must not be empty.")
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self._storage.push(dataframes)
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return {}, 204
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@api_utils.paginated
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@api_utils.add_input_schema('query', {
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voluptuous.Optional('begin'):
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api_utils.SingleQueryParam(tzutils.dt_from_iso),
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voluptuous.Optional('end'):
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api_utils.SingleQueryParam(tzutils.dt_from_iso),
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voluptuous.Optional('filters'):
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api_utils.SingleDictQueryParam(str, str),
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})
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@api_utils.add_output_schema({
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voluptuous.Required('total'): int,
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voluptuous.Required('dataframes'):
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[dataframe.DataFrame.as_dict],
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})
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def get(self,
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offset=0,
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limit=100,
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begin=None,
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end=None,
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filters=None):
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policy.authorize(
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flask.request.context,
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'dataframes:get',
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{'tenant_id': flask.request.context.project_id},
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)
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begin = begin or tzutils.get_month_start()
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end = end or tzutils.get_next_month()
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if filters and 'type' in filters:
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metric_types = [filters.pop('type')]
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else:
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metric_types = None
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if not flask.request.context.is_admin:
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scope_key = CONF.collect.scope_key
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if filters:
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filters[scope_key] = flask.request.context.project_id
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else:
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filters = {scope_key: flask.request.context.project_id}
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results = self._storage.retrieve(
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begin=begin, end=end,
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filters=filters,
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metric_types=metric_types,
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offset=offset, limit=limit,
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)
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if results['total'] < 1:
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raise http_exceptions.NotFound(
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"No resource found for provided filters.")
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return {
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'total': results['total'],
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'dataframes': results['dataframes'],
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}
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