d070f6a68c
The client has been completely rewritten in order to use cliff. The code should be easier to maintain: authentication is now entirely handled by keystoneauth, CloudKitty's client and CK's OSC plugin use the exact same classes (no code duplication). New features for users: * Client-side CSV report generation: It is possible for users to generate CSV reports with the new client. There is a default format, but reports may also be configured through a yaml config file. (see documentation) * The documentation has been improved. (A few examples on how to use the python library + complete API bindings and CLI reference). * It is now possible to use the client without Keystone authentication (this requires that CK's API is configured to use the noauth auth strategy). * Various features are brought by cliff: completion, command output formatting (table, shell, yaml, json...). New features for developpers: * Python 2.7/3.5 compatible 'python-cloudkittyclient' module. * Integration tests (for 'openstack rating' and 'cloudkitty') have been added. These allow to create gate jobs running against a CK devstack * Tests are now ran with stestr instead of testr, which allows a better control over execution. * The dependency list has been reduced and upper constraints have been set. Change-Id: I7c6afa46138d499b37b8be3d049b23ab5302a928 Task: 6589 Story: 2001614
86 lines
3.1 KiB
Python
86 lines
3.1 KiB
Python
# -*- coding: utf-8 -*-
|
|
# Copyright 2018 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 csv
|
|
|
|
from cliff.formatters import base
|
|
import jsonpath_rw_ext as jp
|
|
from oslo_log import log
|
|
import yaml
|
|
|
|
|
|
LOG = log.getLogger(__name__)
|
|
|
|
|
|
class DataframeToCsvFormatter(base.ListFormatter):
|
|
"""Cliff formatter allowing to customize CSV report content."""
|
|
|
|
default_config = [
|
|
('Begin', '$.begin'),
|
|
('End', '$.end'),
|
|
('Metric Type', '$.service'),
|
|
('Qty', '$.volume'),
|
|
('Cost', '$.rating'),
|
|
('Project ID', '$.desc.project_id'),
|
|
('Resource ID', '$.desc.resource_id'),
|
|
('User ID', '$.desc.user_id'),
|
|
]
|
|
|
|
def _load_config(self, filename):
|
|
config = self.default_config
|
|
if filename:
|
|
try:
|
|
with open(filename, 'r') as fd:
|
|
yml_config = yaml.safe_load(fd.read())
|
|
if len(yml_config):
|
|
config = [(list(item.keys())[0], list(item.values())[0])
|
|
for item in yml_config]
|
|
else:
|
|
LOG.warning('Invalid config file {file}. Using default '
|
|
'configuration'.format(file=filename))
|
|
except (IOError, yaml.scanner.ScannerError) as err:
|
|
LOG.warning('Error: {err}. Using default '
|
|
'configuration'.format(err=err))
|
|
self.parsers = {}
|
|
for col, path in config:
|
|
self.parsers[col] = jp.parse(path)
|
|
return config
|
|
|
|
def add_argument_group(self, parser):
|
|
group = parser.add_argument_group('dataframe-to-csv formatter')
|
|
group.add_argument('--format-config-file',
|
|
type=str, dest='format_config',
|
|
help='Config file for the dict-to-csv formatter')
|
|
|
|
def _get_csv_row(self, config, json_item):
|
|
row = {}
|
|
for col, parser in self.parsers.items():
|
|
items = parser.find(json_item)
|
|
row[col] = items[0].value if items else ''
|
|
return row
|
|
|
|
def emit_list(self, column_names, data, stdout, parsed_args):
|
|
config = self._load_config(vars(parsed_args).get('format_config'))
|
|
self.writer = csv.DictWriter(stdout,
|
|
fieldnames=[elem[0] for elem in config])
|
|
self.writer.writeheader()
|
|
for dataframe in data:
|
|
rating_data = dataframe[3]
|
|
for item in rating_data:
|
|
item['begin'] = dataframe[0]
|
|
item['end'] = dataframe[1]
|
|
row = self._get_csv_row(config, item)
|
|
self.writer.writerow(row)
|