def info(ses, fn, t, prt, kind):
class Opt:
def __init__(self, t):
self.after = t
self.before = float('inf')
self.overview = 'none'
# xxx assumes this exists
time_metric = util.join('serverStatus', 'localTime')
# find and print the first sample after t (only)
for metrics in read(ses, fn, Opt(t), progress=False):
if kind=='raw':
for sample, sample_time in enumerate(metrics[time_metric]):
sample_time = sample_time / 1000.0
if sample_time >= t:
break
prt('%s at t=%.3f (%s)' % (fn, t, util.f2s(t)))
util.print_sample(metrics, sample, prt)
break
elif kind=='metadata':
prt('metadata at t=%.3f (%s)' % (t, util.f2s(t)))
if metrics.metadata:
util.print_bson_doc(metrics.metadata, prt, ' ')
else:
prt(' NOT AVAILABLE')
break
def info(ses, fn, t, prt, kind):
class Opt:
def __init__(self, t):
self.after = t
self.before = float('inf')
self.overview = 'none'
# xxx assumes this exists
time_metric = util.join('serverStatus', 'localTime')
# find and print the first sample after t (only)
for metrics in read(ses, fn, Opt(t), progress=False):
if kind == 'raw':
for sample, sample_time in enumerate(metrics[time_metric]):
sample_time = sample_time / 1000.0
if sample_time >= t:
break
prt('%s at t=%.3f (%s)' % (fn, t, util.f2s(t)))
util.print_sample(metrics, sample, prt)
break
elif kind == 'metadata':
prt('metadata at t=%.3f (%s)' % (t, util.f2s(t)))
if metrics.metadata:
util.print_bson_doc(metrics.metadata, prt, ' ')
else:
prt(' NOT AVAILABLE')
break
def info(cls, ses, fn, t, kind):
if kind != 'raw':
return
def putln(*s):
ses.put(' '.join(str(ss) for ss in s) + '\n')
file = cls.get(fn)
for chunk in file.chunks:
if t >= chunk[file.time_key][0]:
for sample, sample_time in enumerate(chunk[file.time_key]):
if sample_time >= t:
putln('%s at t=%.3f (%s)' % (fn, t, util.f2s(t)))
util.print_sample(chunk, sample, putln)
return
def info(ses, t):
_head(ses)
ses.put('data as displayed at %s<br/><br/>\n' % util.f2s(t))
ses.elt('table')
for s in ses.series:
for name, value in s.info(ses, t):
ses.elt('tr')
ses.td('info-data', '{:,.3f}'.format(value))
ses.td('desc', name)
ses.end('tr')
ses.end('table')
def info(ses, t):
_head(ses)
ses.put('data as displayed at %s<br/><br/>\n' % util.f2s(t))
ses.elt('table')
for s in ses.series:
for name, value in s.info(ses, t):
ses.elt('tr')
ses.td('info-data', '{:,.3f}'.format(value))
ses.td('desc', name)
ses.end('tr')
ses.end('table')
def info(cls, ses, fn, t, kind):
if kind != 'raw':
return
def putln(*s):
ses.put(' '.join(str(ss) for ss in s) + '\n')
file = cls.get(fn)
for chunk in file.chunks:
if t >= chunk[file.time_key][0]:
for sample, sample_time in enumerate(chunk[file.time_key]):
if sample_time >= t:
putln('%s at t=%.3f (%s)' % (fn, t, util.f2s(t)))
util.print_sample(chunk, sample, putln)
return
def data_point_after_splits(self, t, d, get_field, set_field):
# may not have data in case of a count, so just use 0
try:
d = float(d)
except:
d = 0
# wrapping 32-bit counter hack
if self.wrap:
if self.last_d > self.wrap / 2 and d < -self.wrap / 2:
self.wrap_offset += 2 * self.wrap
util.dbg('wrap', d, self.last_d, self.wrap_offset)
elif self.last_d < -self.wrap / 2 and d > self.wrap / 2:
self.wrap_offset -= 2 * self.wrap
util.dbg('wrap', d, self.last_d, self.wrap_offset)
self.last_d = d
d += self.wrap_offset
# compute a rate
if self.rate:
if self.last_t == t:
return
if self.last_t:
dd = d - self.last_d
if self.rate != 'delta':
dd /= t - self.last_t
self.last_t = t
self.last_d = d
d = dd
else:
self.last_t = t
self.last_d = d
return
if d < 0:
self.wrapped = True
if not self.rate:
util.msg('possible wrap detected in', self.get('name'),
'at', util.f2s(t))
# scale - xxx need general computation mechanism here instead
if self.scale_field:
scale_field = self.scale_field.format(**self.descriptor)
try:
div = float(get_field(scale_field))
except:
return
if div:
d /= div
d /= self.scale
# record the data
if self.buckets:
s0 = t
s1 = s0 // self.buckets * self.buckets
t = s1
self.ys[t] = self.op(self.ys, t, d)
elif self.queue:
if d > self.queue_min_ms:
ms = datetime.timedelta(0, d / 1000.0)
self.queue_times.append((t - ms, +1))
self.queue_times.append((t, -1))
else:
self.ys[t] = d
# make data available for computation
if self.set_field and set_field:
set_field(self.set_field, d)
# tell our caller what we recorded
return d
def data_point_after_splits(self, t, d, get_field, set_field):
# may not have data in case of a count, so just use 0
try:
d = float(d)
except:
d = 0
# wrapping 32-bit counter hack
if self.wrap:
if self.last_d > self.wrap/2 and d < -self.wrap/2:
self.wrap_offset += 2 * self.wrap
util.dbg('wrap', d, self.last_d, self.wrap_offset)
elif self.last_d < -self.wrap/2 and d > self.wrap/2:
self.wrap_offset -= 2 * self.wrap
util.dbg('wrap', d, self.last_d, self.wrap_offset)
self.last_d = d
d += self.wrap_offset
# compute a rate
if self.rate:
if self.last_t==t:
return
if self.last_t:
dd = d - self.last_d
if self.rate != 'delta':
dd /= t - self.last_t
self.last_t = t
self.last_d = d
d = dd
else:
self.last_t = t
self.last_d = d
return
if d < 0:
self.wrapped = True
if not self.rate:
util.msg('possible wrap detected in', self.get('name'), 'at', util.f2s(t))
# scale - xxx need general computation mechanism here instead
if self.scale_field:
scale_field = self.scale_field.format(**self.descriptor)
try:
div = float(get_field(scale_field))
except:
return
if div:
d /= div
d /= self.scale
# record the data
if self.buckets:
s0 = t
s1 = s0 // self.buckets * self.buckets
t = s1
self.ys[t] = self.op(self.ys, t, d)
elif self.queue:
if d>self.queue_min_ms:
ms = datetime.timedelta(0, d/1000.0)
self.queue_times.append((t-ms,+1))
self.queue_times.append((t,-1))
else:
self.ys[t] = d
# make data available for computation
if self.set_field and set_field:
set_field(self.set_field, d)
# tell our caller what we recorded
return d
