因为公司需要做这方面的接口所以自己在网上查了好久才发现方法做了出来,其中遇到了不少的坑写一下以便以后再次遇到。
1、首先在xenAPI给的一些接口中虽然有关于这方面的接口但是现在的版本不能直接得到,如果直接调用VM_guest_metrics中的方法返回的数据是空的。
第二个链接https://wiki.xen.org/wiki/XAPI_RRDs
3、说一下获得的过程:
大致分三步 1、首先登陆要获取的服务器 2、得到RRD中的数据 3、解析数据
刚开始遇到最大的坑 就是登录认证不通过 原因在获取登录服务器 session_id是用session.handle处理一下就OK了基本上就没什么问题了。
python的参考代码
#!/usr/bin/python
# Example code for reading RRDs
# Contact: Jon Ludlam (jonathan.ludlam@eu.citrix.com)
#
# Mostly this script is taken from perfmon, by Alex Zeffert
#
import XenAPI
import urllib
from xml.dom import minidom
from xml.parsers.expat import ExpatError
import time
# Per VM dictionary (used by RRDUpdates to look up column numbers by variable names)
class VMReport(dict):
"""Used internally by RRDUpdates"""
def __init__(self, uuid):
self.uuid = uuid
# Per Host dictionary (used by RRDUpdates to look up column numbers by variable names)
class HostReport(dict):
"""Used internally by RRDUpdates"""
def __init__(self, uuid):
self.uuid = uuid
class RRDUpdates:
""" Object used to get and parse the output the http://localhost/rrd_udpates?...
"""
def __init__(self):
# params are what get passed to the CGI executable in the URL
self.params = dict()
self.params['start'] = int(time.time()) - 1000 # For demo purposes!#开始获取数据的时间
self.params['host'] = 'true' # include data for host (as well as for VMs)
self.params['cf'] = 'AVERAGE' # consolidation function, each sample averages 12 from the 5 second RRD #可以获取max average min 类型的数据
self.params['interval'] = '60'#获取数据的间隔
def get_nrows(self):
return self.rows
def get_vm_list(self):
return self.vm_reports.keys()
def get_vm_param_list(self, uuid):
report = self.vm_reports[uuid]
if not report:
return []
return report.keys()
def get_vm_data(self, uuid, param, row):
report = self.vm_reports[uuid]
col = report[param]
return self.__lookup_data(col, row)
def get_host_uuid(self):
report = self.host_report
if not report:
return None
return report.uuid
def get_host_param_list(self):
report = self.host_report
if not report:
return []
return report.keys()
def get_host_data(self, param, row):
report = self.host_report
col = report[param]
return self.__lookup_data(col, row)
def get_row_time(self,row):
return self.__lookup_timestamp(row)
# extract float from value (<v>) node by col,row
def __lookup_data(self, col, row):
# Note: the <rows> nodes are in reverse chronological order, and comprise
# a timestamp <t> node, followed by self.columns data <v> nodes
node = self.data_node.childNodes[self.rows - 1 - row].childNodes[col+1]
return float(node.firstChild.toxml()) # node.firstChild should have nodeType TEXT_NODE
# extract int from value (<t>) node by row
def __lookup_timestamp(self, row):
# Note: the <rows> nodes are in reverse chronological order, and comprise
# a timestamp <t> node, followed by self.columns data <v> nodes
node = self.data_node.childNodes[self.rows - 1 - row].childNodes[0]
return int(node.firstChild.toxml()) # node.firstChild should have nodeType TEXT_NODE
def refresh(self, session, override_params = {}):
params = override_params
params['session_id'] = session
params.update(self.params)
paramstr = "&".join(["%s=%s" % (k,params[k]) for k in params])
# this is better than urllib.urlopen() as it raises an Exception on http 401 'Unauthorised' error
# rather than drop into interactive mode
sock = urllib.URLopener().open("http://localhost/rrd_updates?%s" % paramstr)
xmlsource = sock.read()
sock.close()
xmldoc = minidom.parseString(xmlsource)
self.__parse_xmldoc(xmldoc)
# Update the time used on the next run
self.params['start'] = self.end_time + 1 # avoid retrieving same data twice
def __parse_xmldoc(self, xmldoc):
# The 1st node contains meta data (description of the data)
# The 2nd node contains the data
self.meta_node = xmldoc.firstChild.childNodes[0]
self.data_node = xmldoc.firstChild.childNodes[1]
def lookup_metadata_bytag(name):
return int (self.meta_node.getElementsByTagName(name)[0].firstChild.toxml())
# rows = number of samples per variable
# columns = number of variables
self.rows = lookup_metadata_bytag('rows')
self.columns = lookup_metadata_bytag('columns')
# These indicate the period covered by the data
self.start_time = lookup_metadata_bytag('start')
self.step_time = lookup_metadata_bytag('step')
self.end_time = lookup_metadata_bytag('end')
# the <legend> Node describes the variables
self.legend = self.meta_node.getElementsByTagName('legend')[0]
# vm_reports matches uuid to per VM report
self.vm_reports = {}
# There is just one host_report and its uuid should not change!
self.host_report = None
# Handle each column. (I.e. each variable)
for col in range(self.columns):
self.__handle_col(col)
def __handle_col(self, col):
# work out how to interpret col from the legend
col_meta_data = self.legend.childNodes[col].firstChild.toxml()
# vm_or_host will be 'vm' or 'host'. Note that the Control domain counts as a VM!
(cf, vm_or_host, uuid, param) = col_meta_data.split(':')
if vm_or_host == 'vm':
# Create a report for this VM if it doesn't exist
if not self.vm_reports.has_key(uuid):
self.vm_reports[uuid] = VMReport(uuid)
# Update the VMReport with the col data and meta data
vm_report = self.vm_reports[uuid]
vm_report[param] = col
elif vm_or_host == 'host':
# Create a report for the host if it doesn't exist
if not self.host_report:
self.host_report = HostReport(uuid)
elif self.host_report.uuid != uuid:
raise PerfMonException, "Host UUID changed: (was %s, is %s)" % (self.host_report.uuid, uuid)
# Update the HostReport with the col data and meta data
self.host_report[param] = col
else:
raise PerfMonException, "Invalid string in <legend>: %s" % col_meta_data
def main():
xapi = XenAPI.xapi_local();
xapi.login_with_password("","")
session=xapi._session
rrd_updates = RRDUpdates()
rrd_updates.refresh(session,{})
for uuid in rrd_updates.get_vm_list():
print "Got values for VM: "+uuid
for param in rrd_updates.get_vm_param_list(uuid):
print "param: "+param
data=""
for row in range(rrd_updates.get_nrows()):
data=data+"(%d,%f) " % (rrd_updates.get_row_time(row),
rrd_updates.get_vm_data(uuid,param,row))
print data
main()
本文档介绍了如何在XenAPI中查询虚拟机和主机的CPU、内存等信息。由于XenAPI某些接口在当前版本无法直接获取这些数据,作者通过参考XenServer开发者资源和XAPI RRDs文档,详细阐述了获取过程,包括登录服务器、获取RRD数据以及数据解析。主要难点在于登录认证,需对session_id进行特殊处理。
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