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Diffstat (limited to 'datacolletion.py')
| -rw-r--r-- | datacolletion.py | 126 |
1 files changed, 126 insertions, 0 deletions
diff --git a/datacolletion.py b/datacolletion.py new file mode 100644 index 0000000..37c7af9 --- /dev/null +++ b/datacolletion.py @@ -0,0 +1,126 @@ +# Copyright 2016 Huawei Technologies Co. Ltd. +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You 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. +# + +""" +Collect the wanted data by using ceilometer client to send HTTP request to +ceilometer server +""" + + +# Import modules +from os import environ as env +import subprocess +import ceilometerclient.client +import json + +# First source openrc * *; Otherwise, there is a error message. +source = 'source /opt/stack/devstack/openrc admin admin' +dumps = '/usr/bin/python -c '\ + + '"import os, json; print json.dumps(dict(os.environ))"' +command = ['/bin/bash', '-c', source + '&&' + dumps] +pipe = subprocess.Popen(command, stdout=subprocess.PIPE) +env = json.loads(pipe.stdout.read()) + + +# Create an authenticated ceilometer client +c_client = ceilometerclient.client.get_client( + "2", os_username=env['OS_USERNAME'], + os_password=env['OS_PASSWORD'], + os_tenant_name=env['OS_TENANT_NAME'], + os_auth_url=env['OS_AUTH_URL']) + +resource_list = c_client.resources.list() +resource_id_list = [] +print 'List resource ids based on query filter=================' +for each in resource_list: + print each.resource_id + resource_id_list.append(each.resource_id) +print 'End==================\n' + +# resource_id_list[0:3]: image id +# resource_id_list[3]: instance id +# resource_id_list[4:6]: disk id +# resource_id_list[6]: interface id +query_meter = [dict(field='resource_id', op='eq', value=resource_id_list[3])] +meter_list = c_client.meters.list(q=query_meter) +meter_name_list = [] +print 'List meter names related with the resource id--', resource_id_list[3] +for each in meter_list: + print each.name + meter_name_list.append(each.name) +print 'End++++++++++++++++++++\n' + +compute_instances = [ + 'disk.read.requests.rate', 'disk.write.requests.rate', + 'disk.read.bytes.rate', 'disk.write.bytes.rate', 'cpu_util' +] + +compute_instance_samples = [] +for each in compute_instances: + query = [ + dict(field='resource_id', op='eq', value=resource_id_list[3]), + dict(field='timestamp', op='ge', value='2016-02-28T00:00:00'), + dict(field='timestamp', op='lt', value='2016-02-29T00:00:00'), + dict(field='meter', op='eq', value=each) + ] + compute_instance_samples.\ + append(c_client.new_samples.list(q=query, limit=1000)) +# append(c_client.samples.list(each, limit=1000)) + + +fout = open('instance_samples.arff', 'w') +head_info = "% ARFF file for the collected instance samples" \ + + " with some numeric feature from ceilometer API. \n \n" \ + + "@relation collected samples for VMs on host \n \n" \ + + "@attribute timestample datetime " \ + + " UTC date and time when the measurement was made \n" \ + + "@attribute resource_id unicode " \ + + " The ID of the Resource for which the measurements are taken \n" \ + + "@attribute disk.read.requests.rate request/s " \ + + "Average rate of read requests \n" \ + + "@attribute disk.write.requests.rate request/s " \ + + "Average rate of write requests \n" \ + + "@attribute disk.read.bytes.rate B/s " \ + + "Average rate of reads \n" \ + + "@attribute disk.write.bytes.rate B/s " \ + + "Average rate of writes \n" \ + + "@attribute cpu_util % Average CPU utilization\n \n"\ + + "@data \n \n" +fout.write(head_info) + +count = 0 +compute_instance_sample_value = [] +for each in compute_instance_samples[1:]: + each_sample_value = [] + for i in each: + # each_sample_value.append(str(i.counter_volume)) + each_sample_value.append(str(i.volume)) + compute_instance_sample_value.append(each_sample_value) + +for each in compute_instance_samples[0]: + fout.write(each.timestamp + ', ' + each.resource_id) + # fout.write(', ' + str(each.counter_volume)) + fout.write(', ' + str(each.volume)) + for i in compute_instance_sample_value: + fout.write(', ' + i[count]) + fout.write('\n') + count += 1 + + +fout.close() +print count |