def getindomdict(ctx, metric_id_array):
""" build a list of dicts that contain the instance domain id to text mappings
The nth list entry is the nth metric in the metric_id_array
@throw MissingIndomException if the instance information is not available
"""
indomdict = []
for i in xrange(len(metric_id_array)):
metric_desc = ctx.pmLookupDesc(metric_id_array[i])
if 4294967295 != pmapi.get_indom(metric_desc):
try:
ivals, inames = ctx.pmGetInDom(metric_desc)
if ivals == None:
indomdict.append({})
else:
indomdict.append(dict(zip(ivals, inames)))
except pmapi.pmErr as exp:
if exp.args[0] == c_pmapi.PM_ERR_INDOM:
indomdict.append({})
elif exp.args[0] == c_pmapi.PM_ERR_INDOM_LOG:
return None
else:
raise exp
else:
indomdict.append({})
return indomdict
def getindomdict(ctx, metric_id_array):
""" build a list of dicts that contain the instance domain id to text mappings
The nth list entry is the nth metric in the metric_id_array
@throw MissingIndomException if the instance information is not available
"""
indomdict = []
for i in xrange(len(metric_id_array)):
metric_desc = ctx.pmLookupDesc(metric_id_array[i])
if 4294967295 != pmapi.get_indom(metric_desc):
try:
ivals, inames = ctx.pmGetInDom(metric_desc)
if ivals == None:
indomdict.append({})
else:
indomdict.append(dict(zip(ivals, inames)))
except pmapi.pmErr as exp:
if exp.args[0] == c_pmapi.PM_ERR_INDOM:
indomdict.append({})
elif exp.args[0] == c_pmapi.PM_ERR_INDOM_LOG:
return None
else:
raise exp
else:
indomdict.append({})
return indomdict
def getdescription(ctx, metric_id_array):
""" return an array of the names of the instance domains for the requested metrics
"""
description = []
for i in xrange(len(metric_id_array)):
metric_desc = ctx.pmLookupDesc(metric_id_array[i])
if 4294967295 != pmapi.get_indom(metric_desc):
description.append(ctx.pmGetInDom(metric_desc))
return description
def processforpreproc(self, ctx, mdata, preproc):
""" fetch the data from the archive, reformat as a python data structure
and call the analytic process function """
preproc.hoststart(mdata.nodename)
metric_id_array = self.getmetricstofetch(ctx, preproc)
if len(metric_id_array) == 0:
logging.debug("Skipping %s (%s)" % (type(preproc).__name__, preproc.name))
preproc.hostend()
return
mtypes = self.getmetrictypes(ctx, metric_id_array)
done = False
while not done:
try:
result = ctx.pmFetch(metric_id_array)
description = []
for i in xrange(len(metric_id_array)):
# TODO - make this more efficient and move to a function
metric_desc = ctx.pmLookupDesc(metric_id_array[i])
if 4294967295 != pmapi.get_indom(metric_desc):
ivals, inames = ctx.pmGetInDom(metric_desc)
if ivals == None:
self.logerror(mdata.nodename, preproc.name, "missing indoms")
preproc.hostend()
return
description.append(dict(zip(ivals, inames)))
if False == self.runpreproccall(preproc, result, mtypes, ctx, mdata, description):
# A return value of false from process indicates the computation
# failed and no more data should be sent.
done = True
ctx.pmFreeResult(result)
except pmapi.pmErr as e:
if e.args[0] == c_pmapi.PM_ERR_EOL:
done = True
elif e.args[0] == c_pmapi.PM_ERR_INDOM or e.args[0] == c_pmapi.PM_ERR_INDOM_LOG:
self.logerror(mdata.nodename, preproc.name, e.message())
else:
raise e
preproc.status = "complete"
preproc.hostend()