def isVMDead(hostname):
#assuming that it is a storage VM
dead=False
path_id=get_host_path_id(hostname)
try:
#try two files
rrd_file=config['rrd_path_vms_prefix']+"/"+path_id+"/"+config['vm_bytes_out_filename']
dead=((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))>DEATH_TIME)
if not dead:
rrd_file=config['rrd_path_vms_prefix']+"/"+path_id+"/"+config['load_one_filename']
dead=((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))>DEATH_TIME)
except:
dead=True
if dead:
return True
else:
#supposing now that it is a workload VM
try:
rrd_file=config['rrd_path_workload_hosts_prefix']+"/"+path_id+"/"+config['slo_throughput_filename']
return ((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))>DEATH_TIME)
except:
dead=True
if dead:
return True
else:
#supposing now that it is a monitor VM
try:
rrd_file=config['rrd_path_monitor_prefix']+"/"+path_id+"/"+config['load_one_filename']
return ((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))>DEATH_TIME)
except:
return True
def run(self,ctx,**k): event = self.params(ctx) if len(event) < 3: raise SyntaxError(u'Usage: var rrd ‹variable› ‹item› ‹name…›') s = RRDs[Name(*event[2:])] try: setattr(self.parent.ctx,event[0],rrdtool.info(s.upath)["ds"][s.dataset][event[1]]) except KeyError: setattr(self.parent.ctx,event[0],rrdtool.info(s.upath)["ds[%s].%s" % (s.dataset,event[1])])
def setupRRD(filename, data_sources, consolidation="AVERAGE"):
step = 20
try:
RRD.info(filename)
except RRD.error:
RRD.create(filename, '--start', str(long(time.time())), '--step',
str(step), data_sources,
'RRA:%s:0.5:1:8640' % (consolidation),
'RRA:%s:0.5:3:10080' % (consolidation),
'RRA:%s:0.5:180:43830' % (consolidation))
def run(self, ctx, **k):
event = self.params(ctx)
if len(event) < 3:
raise SyntaxError(u'Usage: var rrd ‹variable› ‹item› ‹name…›')
s = RRDs[Name(*event[2:])]
try:
setattr(self.parent.ctx, event[0],
rrdtool.info(s.upath)["ds"][s.dataset][event[1]])
except KeyError:
setattr(self.parent.ctx, event[0],
rrdtool.info(s.upath)["ds[%s].%s" % (s.dataset, event[1])])
def exists(self):
try:
f = open(self.rrd_file)
except FileNotFoundError:
return False
f.close()
try:
rrdtool.info(self.rrd_file)
except rrdtool.OperationalError as err:
raise FileNotFoundError:
def setupRRD(filename, data_sources, consolidation="AVERAGE"):
step = 20
try:
RRD.info(filename)
except RRD.error:
RRD.create( filename,
'--start', str(long(time.time())),
'--step', str(step),
data_sources,
'RRA:%s:0.5:1:8640' % (consolidation),
'RRA:%s:0.5:3:10080' % (consolidation),
'RRA:%s:0.5:180:43830' % (consolidation))
def __init__(self, filename, check_type=True):
"Initialize the class instance with a filename."
if not os.access(filename, os.F_OK | os.R_OK):
raise rrdtool.OperationalError('RRD {!s} cannot be opened.' \
.format(filename))
# Use rrdinfo to test whether the file is a valid RRD file
if check_type is True:
rrdtool.info(filename)
self.readonly = not os.access(filename, os.W_OK)
self.filename = filename
def list(self):
yield super(RRD, self)
yield ("file", self.path)
yield ("dataset", self.dataset)
try:
for k, v in rrdtool.info(self.upath)["ds"][self.udataset].items():
yield (k, v)
except KeyError:
s = "ds[%s]." % (self.udataset)
d = rrdtool.info(self.upath)
# mainly for testing
for k in sorted(x for x in d.keys() if x.startswith(s)):
yield (k[len(s):], d[k])
def list(self):
yield ("name",self.name)
yield ("file",self.path)
yield ("dataset",self.dataset)
try:
for k,v in rrdtool.info(self.upath)["ds"][self.udataset].iteritems():
yield (k,v)
except KeyError:
s="ds[%s]." % (self.udataset)
d=rrdtool.info(self.upath)
# mainly for testing
for k in sorted(x for x in d.keys() if x.startswith(s)):
yield (k[len(s):],d[k])
def show_widget_with_current_and_past_value(widget):
rrd_path = widget.rrd.path()
info = rrdtool.info(rrd_path)
#last_update = datetime.datetime.fromtimestamp(info["last_update"]).strftime("%m-%d %H:%M")
last_update = str(info["last_update"])
current = rrdtool.fetch(rrd_path, "-s", last_update + "-1", "-e", "s+0", "LAST")
yesterday = rrdtool.fetch(rrd_path, "-s", last_update + "-1d", "-e", "s+1", "LAST")
lastweek = rrdtool.fetch(rrd_path, "-s", last_update + "-1w", "-e", "s+1", "LAST")
current_value = current[2][0][0]
field_def = None
if widget.data_def:
try:
data_def = eval(widget.data_def.replace("\n", "").replace("\r", ""))
ds = (current[1][0])
if data_def.has_key(ds):
field_def = data_def[ds]
try:
data_rrd = rrdtool.fetch(rrd_path, "-s", str(int(last_update)-int(field_def[3]) * 60), "-e", last_update + "-1", "LAST")
data_rrd = map(lambda x:x[0],data_rrd[2])
current_value = format_value_def(field_def,data_rrd)
except:
current_value = format_value(field_def, current_value)
else:
current_value = get_last_value(current)
except:
raise
return widget.data_def
else:
current_value = get_last_value(current)
return "<td>" + "</td><td>".join([current_value, get_last_value(yesterday, field_def) , get_last_value(lastweek, field_def)]) + "</td>"
def show_widget_with_current_value(widget):
rrd_path = widget.rrd.path()
info = rrdtool.info(rrd_path)
last_update = str(info["last_update"])
current = rrdtool.fetch(rrd_path, "-s", last_update + "-1", "-e", "s+0", "LAST")
if widget.data_def:
try:
data_def = eval(widget.data_def.replace("\n", "").replace("\r", ""))
data = list(current[2][0])
ds = current[1]
for i in range(0, len(ds)):
if data_def.has_key(ds[i]):
field_def = data_def[ds[i]]
try:
data_rrd = rrdtool.fetch(rrd_path, "-s", str(int(last_update)-int(field_def[3]) * 60), "-e", last_update + "-1", "LAST")
data_rrd = map(lambda x:x[i],data_rrd[2])
data[i] = format_value_def(field_def,data_rrd)
except:
data[i] = format_value(field_def, data[i])
else:
data[i] = str(data[i])
except:
return widget.data_def
#raise
else:
data = map(str, current[2][0])
#return check_date(info) + get_last_value(current) + "</td>"
return "<td>" + "</td><td>".join(data) + "</td>"
def getPeriodCF(self, start):
"""
Retourne la fonction de calcul à appliquer
pour la période commençant à la date donnée.
@param start: Date de début de la période considérée.
@type start: C{int}
@return: Fonction de calcul à utiliser ("LAST" ou "AVERAGE").
@rtype: C{str}
"""
infos = rrdtool.info(self.filename)
step = infos['step']
now = time.mktime(datetime.datetime.utcnow().timetuple())
i = 0
rras = []
while ('rra[%d].cf' % i) in infos:
# Date de la 1ère valeur possible dans ce RRA.
first = now - infos['rra[%d].rows' % i] * step
# Si la date demandée n'appartient pas
# à ce RRA, on l'ignore.
if start < first:
i += 1
continue
rras.append({
'cf': infos['rra[%d].cf' % i],
'first': first,
})
i += 1
# On trie les RRA restants par granularité décroissante.
rras.sort(cmp=lambda a, b: int(b['first'] - a['first']))
if not rras:
return "AVERAGE"
return rras[0]['cf']
def rrd_info(rrd_file, raw=False):
"""
Intended use is from shell. If you want the whole dict returned by
rrdtool.info, set raw to true.
"""
file_info = rrdtool.info(rrd_file)
if raw:
return file_info
if not file_info.has_key('ds'):
#=======================================================================
# In version 1.3 the output from info is totally different. We just
# print a key/value output.
#=======================================================================
for key in sorted(file_info.keys()):
print "%s: %s" % (key, file_info[key])
return
print "%s last updated %s" % (file_info['filename'],
time.ctime(file_info['last_update']))
print "Datasources (datasource: datasourcename):"
for datasource in sorted(file_info['ds'].items()):
print " %s: %s" % (datasource[0], datasource[1]['ds_name'])
print "RRA's (Step = %s):" % (file_info['step'])
for rra in file_info['rra']:
print " %s: %s/%s" % (rra['cf'], rra['pdp_per_row'], rra['rows'])
def rrdupdate(owdata):
if config.rrdenable:
stime = int(time.mktime(time.localtime()))
path = config.rrdpath
step = 300
hb = 3600
xff = 0.5
HOUR = 3600
YEAR = 31536000
steps1 = 1
rows1 = YEAR // step
for sensor in owdata:
(value, timestamp) = owdata[sensor]
if value == config.owfail:
continue
rrdfile = '%s/%s.rrd' % (path, sensor.upper())
if not os.path.isfile(rrdfile):
try:
rrdtool.create(
rrdfile, '--step', '%d' % step,
'DS:data:GAUGE:%d:U:U' % hb,
'RRA:AVERAGE:%d:%d:%d' % (xff, steps1, rows1))
except rrdtool.error, e:
logger.warning(e)
logger.debug("RRD %s created" % sensor)
info = rrdtool.info(rrdfile)
if ((stime - info['last_update']) > step):
try:
rrdtool.update(rrdfile, '%s:%s' % (timestamp, value))
except rrdtool.error, e:
logger.warning(e)
logger.debug("RRD %s updated" % sensor)
def _read_rrd(self, rrd_path, hostname, device_name):
"""Main metric fetching method.
"""
import rrdtool
metric_count = 0
try:
info = rrdtool.info(rrd_path)
except Exception:
# Unable to read RRD file, ignore it
self.log.exception("Unable to read RRD file at %s" % rrd_path)
return metric_count
# Find the consolidation functions for the RRD metrics
c_funcs = set([v for k, v in info.items() if k.endswith('.cf')])
for c in list(c_funcs):
last_ts_key = '%s.%s' % (rrd_path, c)
if last_ts_key not in self.last_ts:
self.last_ts[last_ts_key] = time.time()
continue
start = self.last_ts[last_ts_key]
last_ts = start
try:
fetched = rrdtool.fetch(rrd_path, c, '--start', str(start))
except rrdtool.error:
# Start time was out of range, skip this RRD
self.log.warn("Time %s out of range for %s" %
(rrd_path, start))
return metric_count
# Extract the data
(start_ts, end_ts, interval) = fetched[0]
metric_names = fetched[1]
points = fetched[2]
for k, m_name in enumerate(metric_names):
m_name = self._format_metric_name(m_name, c)
for i, p in enumerate(points):
ts = start_ts + (i * interval)
if p[k] is None:
continue
# Save this metric as a gauge
val = self._transform_metric(m_name, p[k])
self.gauge(m_name,
val,
hostname=hostname,
device_name=device_name,
timestamp=ts,
dimensions=self.dimensions)
metric_count += 1
last_ts = (ts + interval)
# Update the last timestamp based on the last valid metric
self.last_ts[last_ts_key] = last_ts
return metric_count
def rrd_info(rrd_file, raw=False):
"""
Intended use is from shell. If you want the whole dict returned by
rrdtool.info, set raw to true.
"""
file_info = rrdtool.info(rrd_file)
if raw:
return file_info
if not file_info.has_key('ds'):
#=======================================================================
# In version 1.3 the output from info is totally different. We just
# print a key/value output.
#=======================================================================
for key in sorted(file_info.keys()):
print "%s: %s" % (key, file_info[key])
return
print "%s last updated %s" % (file_info['filename'],
time.ctime(file_info['last_update']))
print "Datasources (datasource: datasourcename):"
for datasource in sorted(file_info['ds'].items()):
print " %s: %s" % (datasource[0], datasource[1]['ds_name'])
print "RRA's (Step = %s):" % (file_info['step'])
for rra in file_info['rra']:
print " %s: %s/%s" % (rra['cf'], rra['pdp_per_row'], rra['rows'])
def check_aberration(rrdpath, fname):
""" This will check for begin and end of aberration
in file. Will return:
0 if aberration not found.
1 if aberration begins
2 if aberration ends
"""
ab_status = 0
rrdfilename = rrdpath + fname
info = rrdtool.info(rrdfilename)
rrdstep = int(info['step'])
lastupdate = info['last_update']
previosupdate = str(lastupdate - rrdstep - 1)
graphtmpfile = tempfile.NamedTemporaryFile()
# Ready to get FAILURES from rrdfile
# will process failures array values for time of 2 last updates
values = rrdtool.graph(
graphtmpfile.name + 'F',
'DEF:f0=' + rrdfilename + ':inoctets:FAILURES:start=' + previosupdate +
':end=' + str(lastupdate), 'PRINT:f0:MIN:%1.0lf',
'PRINT:f0:MAX:%1.0lf', 'PRINT:f0:LAST:%1.0lf')
print values
fmin = int(values[2][0])
fmax = int(values[2][1])
flast = int(values[2][2])
print("fmin=" + fmin + ", fmax=" + fmax + ",flast=" + flast)
# check if failure value had changed.
if (fmin != fmax):
if (flast == 1):
ab_status = 1
else:
ab_status = 2
return ab_status
def info_rrd(rrdfile_name):
"""
is not currenty in use
info_rrd:
get info about an existing rrd
Args:
rrdfile_name (string): it is the name of your file/rrd
Returns:
info_msg (dict): get info about the rrd
"""
info_content = []
info_status_msg = ""
# get the last value
try:
db_info = rrdtool.info(rrdfile_name)
info_content = db_info
info_status_msg = f"success: {rrdfile_name}: was read successfully"
except Exception as e:
info_status_msg = f"error: rrd update error: {sys.exc_info()[1]} \n{e}"
info_msg = dict()
info_msg['data'] = info_content
info_msg['status'] = info_status_msg
return info_msg
def TuneHoltData(self, dp):
# Alpha
rrdtool.tune(self.context().path(dp),'--alpha',str(self.alpha))
# Beta
rrdtool.tune(self.context().path(dp),'--beta',str(self.beta))
# Gamma
rrdtool.tune(self.context().path(dp),'--gamma',str(self.gamma))
rrdtool.tune(self.context().path(dp),'--gamma-deviation',str(self.gamma))
# Delta
rrdtool.tune(self.context().path(dp),'--deltapos',str(self.delta))
rrdtool.tune(self.context().path(dp),'--deltaneg',str(self.delta))
# Check that these actually changed otherwise we will reset
# violation counts to 0
data = rrdtool.info(self.context().path(dp))
rrasearch = re.compile('^rra\[(\d+)\]\.(\S+)')
sorted_keys=data.keys()
sorted_keys.sort()
for key in sorted_keys:
value=data[key]
rra_match=rrasearch.search(key)
if rra_match:
rranum,rraprop=rra_match.groups()
# Failure Threshold
if rraprop == 'failure_threshold' and value != self.threshold:
rrdtool.tune(self.context().path(dp),'--failure-threshold',str(self.threshold))
# Window Length
if rraprop == 'window_length' and value != self.window:
rrdtool.tune(self.context().path(dp),'--window-length',str(self.window))
def getLoadWeek(server_id):
''' get server current load and one week load'''
import rrdtool
try:
rrdPath = s_service.objects.get(server__id = server_id,category__title__contains = "Perfmon").rrd.path()
except:
return "</td><td>"
info = rrdtool.info(rrdPath)
last_update = str(info["last_update"])
current = rrdtool.fetch(rrdPath, "-s", last_update + "-604801", "-e", last_update, "LAST")
load = "";ls = [];loadAvg = ""
for i in range(len(current[1])):
if current[1][i] == "load":
for l in current[2][-10:]:
if l[i] != None and l[i] != "nan":
load = l[i]
for l in current[2]:
try:
ls.append(float(l[i]))
except:
pass
if load == "nan":load = ""
try:
load = int(load)
except:
pass
if ls != []:
loadAvg = str(sum(ls)/len(ls))[:5]
return str(load)+"</td><td>"+loadAvg
def isPeerAlive(path_to_rrd,rrd_filename,peer):
path_id=get_host_path_id(peer)
try:
rrd_file=path_to_rrd+"/"+path_id+"/"+rrd_filename
return ((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))<=ALIVE_TIME)
except:
return False
def getDataSources(self):
try:
info = rrdtool.info(self.fs_path)
return [RRDDataSource(self, source) for source in info['ds']]
except:
raise
return []
def listSources():
hwid = request.args.get('hwid')
device = ceresdb.devices.find_one({'hwid' : hwid})
if device['username'] != session['username']:
flash('Wrong username [' + session['username'] + '] for device [' + hwid + ']')
return redirect(url_for('myceres'))
info = rrdtool.info(str(device['file']))
step = int(info['step'])
# Pull out all of the source names (e.g. temperature, light, etc..)
r = re.compile('ds\[(.*)\]\.type')
sourcenames = [match.group(1) for match in [r.match(key) for key in info if r.match(key)]]
RRAs = []
# Extract the info about the RRAs
r = re.compile('rra\[(.*)\]\.cf')
for RRAid in sorted([int(match.group(1)) for match in [r.match(key) for key in info if r.match(key)]]):
rra = 'rra['+str(RRAid)+']'
if info[rra + '.cf'] != 'AVERAGE':
continue
RRAs.append({
'resolution' : info[rra + '.pdp_per_row'] * step,
'totaltime' : info[rra + '.pdp_per_row'] * step * info[rra + '.rows']
})
RRAs = sorted(RRAs, key=lambda k: k['resolution'])
return jsonify(data={'RRAs' : RRAs, 'sources' : sourcenames})
def rrd_check_equality(configname, rrd_name, rrd_conf):
dsequality = False
rraequality = False
try:
info = rrdtool.info(f"rrd/{configname}/{rrd_name}.rrd")
if info['step'] != config.STEP:
return False
except rrdtool.OperationalError:
return False
for ds_def in rrd_conf['ds']:
try:
groups = dsregexp.match(ds_def).groups()
key = "ds[{0}]".format(groups[0])
dsequality = info[f"{key}.type"] == groups[1] and str(
info[f"{key}.minimal_heartbeat"]) == groups[2]
except KeyError:
return False
for index, rra_def in enumerate(rrd_conf['rra']):
try:
groups = rraregexp.match(rra_def).groups()
key = f"rra[{index}]"
rraequality = info[f"{key}.cf"] == groups[0] and str(
info[f"{key}.rows"]) == groups[3] and str(
info[f"{key}.pdp_per_row"]) == groups[2]
except KeyError:
return False
return dsequality and rraequality
def getLoadWeek(server_id):
''' get server current load and one week load'''
import rrdtool
try:
rrdPath = s_service.objects.get(
server__id=server_id,
category__title__contains="Perfmon").rrd.path()
except:
return "</td><td>"
info = rrdtool.info(rrdPath)
last_update = str(info["last_update"])
current = rrdtool.fetch(rrdPath, "-s", last_update + "-604801", "-e",
last_update, "LAST")
load = ""
ls = []
loadAvg = ""
for i in range(len(current[1])):
if current[1][i] == "load":
for l in current[2][-10:]:
if l[i] != None and l[i] != "nan":
load = l[i]
for l in current[2]:
try:
ls.append(float(l[i]))
except:
pass
if load == "nan": load = ""
try:
load = int(load)
except:
pass
if ls != []:
loadAvg = str(sum(ls) / len(ls))[:5]
return str(load) + "</td><td>" + loadAvg
def getDataSources(self):
try:
info = rrdtool.info(self.fs_path)
return [RRDDataSource(self, source) for source in info['ds']]
except:
raise
return []
def rrdupdate(owdata):
if config.rrdenable:
stime = int(time.mktime(time.localtime()))
path = config.rrdpath
step = 300
hb = 3600
xff = 0.5
HOUR = 3600
YEAR = 31536000
steps1 = 1
rows1 = YEAR // step
for sensor in owdata:
(value, timestamp) = owdata[sensor]
if value == config.owfail:
continue
rrdfile = '%s/%s.rrd' % (path, sensor.upper())
if not os.path.isfile(rrdfile):
try:
rrdtool.create(rrdfile, '--step', '%d' % step,
'DS:data:GAUGE:%d:U:U' % hb,
'RRA:AVERAGE:%d:%d:%d' % (xff, steps1, rows1))
except rrdtool.error, e:
logger.warning(e)
logger.debug("RRD %s created" % sensor)
info = rrdtool.info(rrdfile)
if ((stime - info['last_update']) > step):
try:
rrdtool.update(rrdfile,'%s:%s' % (timestamp, value))
except rrdtool.error, e:
logger.warning(e)
logger.debug("RRD %s updated" % sensor)
def info(self, context, target=None):
# Figure out the target.
if target == None:
target = socket.getfqdn()
rrdpath = os.path.join(FLAGS.canary_rrdpath, target)
# Grab available metrics.
available = glob.glob(os.path.join(rrdpath, "*/*.rrd"))
metrics = {}
for filename in available:
# NOTE: Not sure quite why, but it seems like
# the rrdtool commands below barf unless they
# this happens -- maybe barfing on unicode?
filename = str(filename)
m = re.match("^%s/([^\/-]+)(-([^\/]+))?/([^\.]+)\.rrd$" % rrdpath, filename)
if m:
plugin = m.group(1)
unit = m.group(3)
key = m.group(4)
# NOTE: At this point we construct a metric name that is
# equivilant to how we deconstruct the name above. It's
# important that these two operations are symmetric for
# the sake of a user's sanity.
if unit:
metric = "%s[%s].%s" % (plugin, unit, key)
else:
metric = "%s.%s" % (plugin, key)
if not (metric in metrics):
metrics[metric] = {}
metrics[metric]["from_time"] = rrdtool.first(filename)
metrics[metric]["to_time"] = rrdtool.last(filename)
step = 1
pdps = []
cfs = []
for (k, v) in rrdtool.info(filename).items():
if re.match("^step$", k):
step = int(v)
continue
elif re.match("^rra\[\d+\]\.pdp_per_row$", k):
pdps.append(int(v))
continue
elif re.match("^rra\[\d+\]\.cf", k):
cfs.append(v)
continue
pdps = list(set(pdps))
cfs = list(set(cfs))
cfs.sort()
resolutions = map(lambda x: step * x, pdps)
resolutions.sort()
metrics[metric]["cfs"] = cfs
metrics[metric]["resolutions"] = resolutions
return metrics
def fetch_last(rrddef):
info = rrdtool.info(rrddef.path)
try:
value = info['ds[%s].last_ds' % (rrddef.name, )]
except ValueError, e:
current_app.logger.exception(e)
value = None
def _convertFile(filename):
import rrdtool
try:
if rrdtool.info(filename)['ds[ds0].type'] == 'COUNTER':
rrdtool.tune(filename, '-d', 'ds0:DERIVE', '-i', 'ds0:0')
except KeyError:
pass
def render(fname):
print "Rendering new image."
info = rrdtool.info(fname)
for i in info:
print "{} : {}".format(i,info[i])
DAY = 86400
DAYS_5 = DAY * 5
YEAR = 365 * DAY
rrdtool.graph('image-temp.png',
'--imgformat', 'PNG',
'--width', '540',
'--height', '100',
'--start', "-%i" % DAY,
'--end', "-1",
'--vertical-label', 'Temperature C',
'--title', 'Temperature over last 24h',
'--lower-limit', '0',
'DEF:temp=%s:sensor1-temp:AVERAGE' % fname ,
'VDEF:tempavg=temp,AVERAGE' ,
'VDEF:tempmax=temp,MAXIMUM' ,
'VDEF:tempmin=temp,MINIMUM' ,
'AREA:temp#01DF01:Temperature' ,
'LINE:tempmax#FF0000:Max' ,
r'GPRINT:tempmin:Min\: %6.1lf C' ,
r'GPRINT:tempmax:Max\: %6.1lf C' ,
r'GPRINT:tempavg:Avg\: %6.1lf C' ,
r'GPRINT:temp:LAST:Cur\: %5.2lf C' ,
)
def latest(hostname):
rrdname = "rrds/" + hostname + "_users.rrd"
try:
info = rrdtool.info(rrdname)
lastupdate = [info['last_update'], info['ds[users].last_ds']]
return lastupdate
except:
return None
def latest(hostname):
rrdname = "rrds/" + hostname + "_ansible.rrd"
try:
info = rrdtool.info(rrdname)
lastupdate = [info['last_update'], info['ds[ok].last_ds'], info['ds[change].last_ds'], info['ds[unreachable].last_ds'], info['ds[failed].last_ds']]
return lastupdate
except:
return None
def convert_to_whisper(rrdfile, mapping, extra_retention=None):
"""Convert a rrd-file to whisper"""
rrd_file = str(join(rrdfile.path, rrdfile.filename))
try:
rrd_info = rrdtool.info(rrd_file)
except rrdtool.error, error:
_logger.error(error)
def isPeerDead(path_to_rrd,rrd_filename,peer):
#assuming that it is a storage VM
path_id=get_host_path_id(peer)
try:
rrd_file=path_to_rrd+"/"+path_id+"/"+rrd_filename
return ((long(time.time())-(rrdtool.info(rrd_file)["last_update"]))>DEATH_TIME)
except:
return True
def getDataSources(self):
info = rrdtool.info(self.fs_path)
if 'ds' in info:
return [RRDDataSource(self, datasource_name) for datasource_name in info['ds']]
else:
ds_keys = [ key for key in info if key.startswith('ds[') ]
datasources = set( key[3:].split(']')[0] for key in ds_keys )
return [ RRDDataSource(self, ds) for ds in datasources ]
def get_temp():
db_rrd = rrdtool.info(db_rrd_path)
temperature = [
db_rrd["ds[Sensor0].last_ds"], db_rrd["ds[Sensor1].last_ds"],
db_rrd["ds[Sensor2].last_ds"], db_rrd["ds[Sensor3].last_ds"],
db_rrd["ds[Sensor4].last_ds"], db_rrd["ds[Sensor5].last_ds"]
]
return (temperature)
def show_widget_header(widget):
rrd_path = widget.rrd.path()
info = rrdtool.info(rrd_path)
last_update = str(info["last_update"])
current = rrdtool.fetch(rrd_path, "-s", last_update, "-e", "s+1", "LAST")
titles = map(lambda x: x.replace("_", " "), current[1])
return "<th>" + "</th><th>".join(titles) + "</th>"
def crearGrafica(valoresy, tiempoInicial, steps, names, archivo):
print(rrdtool.info(archivo))
muestras = len(valoresy)
ret = rrdtool.create('predicciones/trend.rrd', "--start",
str(tiempoInicial), "--step", str(steps),
"DS:" + names[0] + ":GAUGE:600:U:U",
"RRA:AVERAGE:0.5:1:" + str(muestras))
return 'predicciones/' + archivo
def getDataSources(self):
info = rrdtool.info(self.fs_path)
if 'ds' in info:
return [RRDDataSource(self, datasource_name) for datasource_name in info['ds']]
else:
ds_keys = [ key for key in info if key.startswith('ds[') ]
datasources = set( key[3:].split(']')[0] for key in ds_keys )
return [ RRDDataSource(self, ds) for ds in datasources ]
def getMonitorData(rrd_file):
rrd_info = rrdtool.info(rrd_file)
last_update = rrd_info['last_update'] - 60
args = '-s ' + str(last_update)
results = rrdtool.fetch(rrd_file, 'AVERAGE', args)
lost_package_num = int(results[2][0][1])
average_rrt = 0 if not results[2][0][2] else results[2][0][2] * 1000
return lost_package_num, round(average_rrt, 4)
def rrd_ds(file):
info = rrdtool.info(file)
ds_re = re.compile(r'ds\[(\S+)\]')
ds = ds_re.search(str(info))
if ds:
result = ds.group(1)
return result
def show_widget_header(widget):
rrd_path = widget.rrd.path()
info = rrdtool.info(rrd_path)
last_update = str(info["last_update"])
current = rrdtool.fetch(rrd_path, "-s", last_update, "-e", "s+1", "LAST")
titles = map(lambda x: x.replace("_", " "), current[1])
return "<th>" + "</th><th>".join(titles) + "</th>"
def main():
#setup logging
logging.basicConfig(level=logging.DEBUG, filename='/home/pi/Desktop/Glovebox_Monitoring/logfile.txt')
#setup GPIO
GPIO.setmode(GPIO.BCM)
for pin in config.GPIO_pins:
GPIO.setup(pin, GPIO.IN, GPIO.PUD_DOWN)
#setup static folder if necessary
directory = os.path.split(config.database_path_analog)[0]
if not os.path.exists(directory):
os.makedirs(directory)
#setup database
if not os.path.isfile(config.database_path_analog): #does database already exist?
CreateDatabase()
print('database created, Info:')
else:
print('database continued, Info:')
for key, value in rrdtool.info(config.database_path_analog).items():
print('{} : {}'.format(key,value))
print('rrdtool.lib_version = ' + rrdtool.lib_version())
#setup datafile
if not os.path.isfile(config.datafile_path_digital): #does file already exist?
file_digital = open(config.datafile_path_digital, 'a', os.O_NONBLOCK)
file_digital.write(';'.join(['time']+config.channel_names_digital) + '\n') # writing header
file_digital.write(';'.join([datetime.now().isoformat(' ')[:-5],*['-1']*6]))
else:
file_digital = open(config.datafile_path_digital, 'a', os.O_NONBLOCK)
#setup spi
SPI_PORT = 0
SPI_DEVICE = 0
mcp = Adafruit_MCP3008.MCP3008(spi=SPI.SpiDev(SPI_PORT, SPI_DEVICE))
print('measuring..')
digital = np.ones(6,dtype=np.int8)*-1
sending_email_possible = False
while 1:
time_before = time.time()
digital_new, analog_new, time_new = MeasureData(mcp)
argon_pressure = analog_new[0]
if argon_pressure > config.Ar_hysteresis_for_email[1]:
sending_email_possible = True
if argon_pressure < config.Ar_hysteresis_for_email[0] and sending_email_possible == True:
SendEmail()
print('Argon pressure < {} bar!!!, Email sent!'.format(config.Ar_hysteresis_for_email[0]))
sending_email_possible = False
if any(digital_new != digital):
time_str = time_new.isoformat(' ')[:-5] # with accuracy of thents of a second
digital_str = ';'.join([str(d) for d in digital_new])
print(digital_str)
file_digital.write('{};{}\n'.format(time_str,digital_str))
file_digital.flush()
digital = digital_new
time_rrd = '{:.3f}'.format(time.time())
rrdtool.update(config.database_path_analog,'{}:{}:{}'.format(time_rrd,analog_new[0],analog_new[1])) # N means current time
time_delta = 0.1 - (time.time()-time_before)
if time_delta < 0:
print('WARNING: Measurement loop not fast enough: time_delta = {}!'.format(time_delta))
else:
time.sleep(time_delta) # ms
def rtl_433_probe(sock):
next_graph = {}
while True:
line, _addr = sock.recvfrom(1024)
try:
line = parse_syslog(line)
data = json.loads(line)
now = int(time.time())
label = sanitize(data["model"])
if "channel" in data:
label += ".CH" + str(data["channel"])
elif "id" in data:
label += ".ID" + str(data["id"])
rrd_file = RRD_PATH + label + ".rrd"
if "type" in data and data["type"] == "TPMS":
continue
if "temperature_C" not in data:
continue
temperature = data["temperature_C"]
humidity = "U"
if "humidity" in data:
humidity = data["humidity"]
try:
rrdtool.info(rrd_file)
except rrdtool.OperationalError:
create_rrd(rrd_file)
update_rrd(rrd_file, temperature, humidity)
if label not in next_graph or next_graph[label] < now:
graph_rrd(rrd_file, label, GRAPH_PATH)
next_graph[label] = now + GRAPH_INTERVAL
except KeyError:
pass
except ValueError:
pass
def _form_entries_from_file(self, root, name):
info = rrdtool.info(str(os.path.join(root, name)))
dses = set()
for entry in info.keys():
match = ds_re.match(entry)
if match:
dses.add(match.group(1))
return [{'type': 'file', 'name': "%s_%s" % (name[:-4], stat)} for stat in sorted(list(dses))]
def get_datasources(fs_path):
info = rrdtool.info(fs_path)
if "ds" in info:
return [datasource_name for datasource_name in info["ds"]]
else:
ds_keys = [key for key in info if key.startswith("ds[")]
datasources = set(key[3:].split("]")[0] for key in ds_keys)
return list(datasources)
def _form_entries_from_file(self, root, name):
info = rrdtool.info(str(os.path.join(root, name)))
dses = set()
for entry in info.keys():
match = ds_re.match(entry)
if match:
dses.add(match.group(1))
return [{'type': 'file', 'name': "%s_%s" % (name[:-4], stat)} for stat in sorted(list(dses))]
def process(self, fullpath):
"convert a single file"
log.debug("processing %s" % fullpath)
newpath = os.path.join(os.path.dirname(fullpath),
'.' + os.path.basename(fullpath))
# get type, old step
info = rrdtool.info(fullpath)
dataType = info['ds[ds0].type']
try:
os.unlink(newpath)
except OSError:
pass
rraList = []
for rraIndex in count():
rra = {}
rra['pdp_per_row'] = info.get('rra[%s].pdp_per_row' % rraIndex)
rra['rows'] = info.get('rra[%s].rows' % rraIndex)
if rra['pdp_per_row'] is None or rra['rows'] is None:
break
rraList.append(rra)
# Collect some information about the current file:
# how far back can the data go?
earliest = info['last_update']
# how wide is the biggest data point?
biggest = 0
for rra in rraList:
size = rra['pdp_per_row'] * info['step']
earliest = min(earliest, info['last_update'] - rra['rows'] * size)
biggest = max(biggest, size)
# create a file with the correct step to accept the data
rrdtool.create(
newpath,
'DS:ds0:%s:%d:U:U' % (dataType, biggest * 2),
'--start', str(earliest),
'--step', str(self.options.step),
*self.defaultRRDCommand.split())
# extract the time and values from each archive
updates = {}
for rra in rraList:
self.processRRA(fullpath, rra, info, updates)
# get the times in order
updates = updates.items()
updates.sort()
rrdtool.update(newpath, *[('%d@%s' % (t, v)) for t, v in updates])
# use a reasonable heartbeat
rrdtool.tune(newpath, '-h','ds0:%d' % (self.options.step*3))
if self.options.commit:
os.rename(newpath, fullpath)
def get_datasources(fs_path):
info = rrdtool.info(RRDReader._convert_fs_path(fs_path))
if 'ds' in info:
return [datasource_name for datasource_name in info['ds']]
else:
ds_keys = [ key for key in info if key.startswith('ds[') ]
datasources = set( key[3:].split(']')[0] for key in ds_keys )
return list(datasources)
def list_variables(filename):
info = rrdtool.info(str(filename))
datasources = [
ds[3:-7]
for ds in info.keys()
if ds.startswith("ds[") and ds.endswith("].index")
]
datasources.sort(key = lambda(ds): info["ds[%s].index" % (ds)])
return datasources
def get_datasources(fs_path):
info = rrdtool.info(RRDReader._convert_fs_path(fs_path))
if 'ds' in info:
return [datasource_name for datasource_name in info['ds']]
else:
ds_keys = [ key for key in info if key.startswith('ds[') ]
datasources = set( key[3:].split(']')[0] for key in ds_keys )
return list(datasources)
def _convertFile(filename):
import rrdtool
try:
if rrdtool.info(filename)['ds[ds0].type'] == 'COUNTER':
rrdtool.tune(filename,
'-d', 'ds0:DERIVE',
'-i', 'ds0:0')
except KeyError:
pass
def build_from_file(self, fname):
"""
Build RRD info from the given filename
"""
info = rrdtool.info(fname)
for (key, val) in info.iteritems():
#ignore RRAs, and only examine ds[***] entries
self.push_item(key, val)
def _read_rrd(self, rrd_path, hostname, device_name):
"""Main metric fetching method.
"""
import rrdtool
metric_count = 0
try:
info = rrdtool.info(rrd_path)
except Exception:
# Unable to read RRD file, ignore it
self.log.exception("Unable to read RRD file at %s" % rrd_path)
return metric_count
# Find the consolidation functions for the RRD metrics
c_funcs = set([v for k, v in info.items() if k.endswith('.cf')])
for c in list(c_funcs):
last_ts_key = '%s.%s' % (rrd_path, c)
if last_ts_key not in self.last_ts:
self.last_ts[last_ts_key] = time.time()
continue
start = self.last_ts[last_ts_key]
last_ts = start
try:
fetched = rrdtool.fetch(rrd_path, c, '--start', str(start))
except rrdtool.error:
# Start time was out of range, skip this RRD
self.log.warn("Time %s out of range for %s" % (rrd_path, start))
return metric_count
# Extract the data
(start_ts, end_ts, interval) = fetched[0]
metric_names = fetched[1]
points = fetched[2]
for k, m_name in enumerate(metric_names):
m_name = self._format_metric_name(m_name, c)
for i, p in enumerate(points):
ts = start_ts + (i * interval)
if p[k] is None:
continue
# Save this metric as a gauge
val = self._transform_metric(m_name, p[k])
self.gauge(m_name, val, hostname=hostname,
device_name=device_name, timestamp=ts,
dimensions=self.dimensions)
metric_count += 1
last_ts = (ts + interval)
# Update the last timestamp based on the last valid metric
self.last_ts[last_ts_key] = last_ts
return metric_count
def getValues():
now = int(time.time())
kellerinfo = rrdtool.info(DATADIR+'/keller.rrd')
ausseninfo = rrdtool.info(DATADIR+'/aussen.rrd')
faninfo = rrdtool.info(DATADIR+'/fan.rrd')
if ( now - kellerinfo["last_update"] > 600 ):
Tkeller = "U"
RHkeller = "U"
DPkeller = "U"
AHkeller = "U"
else:
Tkeller = kellerinfo["ds[T].last_ds"]
RHkeller = kellerinfo["ds[RH].last_ds"]
DPkeller = kellerinfo["ds[DP].last_ds"]
AHkeller = kellerinfo["ds[AH].last_ds"]
if ( now - ausseninfo["last_update"] > 600 ):
Taussen = "U"
RHaussen = "U"
DPaussen = "U"
AHaussen = "U"
else:
Taussen = ausseninfo["ds[T].last_ds"]
RHaussen = ausseninfo["ds[RH].last_ds"]
DPaussen = ausseninfo["ds[DP].last_ds"]
AHaussen = ausseninfo["ds[AH].last_ds"]
if ( now - faninfo["last_update"] > 240 ):
Fan = "U"
else:
Fan = faninfo["ds[on].last_ds"]
return {
'last_keller' : kellerinfo["last_update"],
'Tkeller' : Tkeller,
'RHkeller' : RHkeller,
'DPkeller' : DPkeller,
'AHkeller' : AHkeller,
'last_aussen' : ausseninfo["last_update"],
'Taussen' : Taussen,
'RHaussen' : RHaussen,
'DPaussen' : DPaussen,
'AHaussen' : AHaussen,
'last_fan' : faninfo["last_update"],
'Fan': Fan
}
def callHomeData(self):
volume = 0.0
zenhome_ = zenhome.value
for dirpath, dirnames, filenames in os.walk("{zenhome_}/perf/Devices".format(**locals())):
for filename in filenames:
if filename.endswith(".rrd"):
rrdinfo = rrdtool.info("{dirpath}/{filename}".format(**locals()))
if time.time() - rrdinfo["last_update"] < rrdinfo["step"] * 12: # 12 is fudge factor to take rrdcached into consideration
volume += 1.0 / rrdinfo["step"]
yield "Collection Volume", "{volume:.1f} datapoints per second".format(**locals())
def get_vm_total(self, vm, names=['cpu_time', 'rd_req', 'rd_bytes', 'wr_req', 'wr_bytes', 'rx_bytes', 'tx_bytes']):
if not check_stat_exists(vm):
raise CMException('stat_not_exists')
filename = get_path(vm)
ds_info = rrdtool.info(filename)
ds_all = {}
for i in names:
ds_all[i] = ds_info['ds[%s].last_ds' % i]
return ds_all
def get_info(rrd_name):
"""Retrieve the information about a specific RRD.
:param rrd_name: The name of the desired RRD.
:type rrd_name: str
:return: The information regarding the named RRD, as a dictionary.
:rtype: dict
"""
# Force rrd_name to str since rrdtool doesn't like Unicode or other kinds of strings
return rrdtool.info(str(rrd_name))