def fetch_samples(self, adapter, dur, interval, method, mode, delta, stats, end_seconds_ago=0):
samples = dict()
if mode == "rate":
for stat in stats:
os = adapter.samples(stat, dur+600, interval, method, secs2=end_seconds_ago, delta=delta)
ns = list()
prev = None
for sample in reversed(os):
if prev is not None:
rate = calc_rate(float(sample[1]), float(prev[1]),
secs(sample[0]), secs(prev[0]))
ns.insert(0, (sample[0], rate, None))
prev = sample
samples[stat] = ns
else:
threads = []
for i, stat in enumerate(stats):
# start a thread to do the db query, etc for each stat requested
threads.append(threading.Thread(target = self.getStatSamples, args = (adapter, samples, stat, dur, interval, method, end_seconds_ago, delta)))
threads[i].start()
for th in threads:
while th.isAlive():
pass
return samples
def get_vals(self, session, samples, stat, text, duration, end_secs):
tnow = time()
vals = list()
min_dt = tnow - duration - end_secs
for dt, value, dev in samples[stat]:
if value is not None:
vals.append({"dt": secs(dt), "y": value})
if secs(dt) < min_dt:
break
vals.sort(key=lambda stat: stat["dt"], reverse=False) #here, we sort by dt to be sure that our graphs are valid
return vals
def get_vals(self, session, samples, stat, text, duration, end_secs):
tnow = time()
vals = list()
points = self.points.get(session)
if points:
min_dt = tnow - duration - end_secs
for dt, value, stacked_value in points[stat]:
if value is not None:
vals.append({"dt": secs(dt), "y": stacked_value})
if secs(dt) < min_dt:
break
vals.reverse()
return vals
def get_vals(self, session, samples, stat, text, duration, end_secs):
tnow = time()
vals = list()
percent = self.page.percent_property.get(session)
total = self.page.get_object_property(session, percent)
min_dt = tnow - duration - end_secs
for dt, value, dev in samples[stat]:
if value is not None:
if total is None or total == 0.0:
vals.append({"dt": secs(dt), "y": 0.0})
else:
vals.append({"dt": secs(dt), "y": (float(value) / float(total)) * 100.0})
if secs(dt) < min_dt:
break
vals.reverse()
return vals