def getTimes(self):
t0 = str2localtime(self.ui.comboBox_begin.currentText())
t1s = self.ui.comboBox_end.currentText()
# if not absolute time
if self._ts_re.match(t1s) is None:
t1s = t1s.replace('now', '{}'.format(time.time() - str2time(t0)))
t1s = str2time(t0) + str2time(t1s)
t1 = str2localtime(t1s)
return t0, t1
def split_interval_in_months(start,stop,cut=True):
"""
returns a list of start,stop tuples for each month in the interval
if cut is True, then first and last interval are adjusted to start,stop
"""
months = get_months_in_interval(start,stop)
months.append(get_next_month(months[-1]))
months = zip(months,months[1:])
months = list(list((str2time(b),str2time(e)-1)) for b,e in months)
if cut:
months[0][0],months[-1][-1] = start,stop
return months
def split_interval_in_months(start,stop,cut=True):
"""
returns a list of start,stop tuples for each month in the interval
if cut is True, then first and last interval are adjusted to start,stop
"""
months = get_months_in_interval(start,stop)
months.append(get_next_month(months[-1]))
months = zip(months,months[1:])
months = list(list((str2time(b),str2time(e)-1)) for b,e in months)
if cut:
months[0][0],months[-1][-1] = start,stop
return months
def get_days_in_interval(*args):
"""
args may be a list of timestamps or just start,stop dates
"""
if len(args)==2:
if fun.isString(args[0]):
start,stop = str2time(args[0]),str2time(args[1])
else:
start,stop = args[0],args[1]
times = range(int(start),int(stop+86400),86400)
else:
times = args[0]
days = sorted(set(list(d.split()[0] for d in map(time2str,times))))
return days
def get_days_in_interval(*args):
"""
args may be a list of timestamps or just start,stop dates
"""
if len(args)==2:
if fun.isString(args[0]):
start,stop = str2time(args[0]),str2time(args[1])
else:
start,stop = args[0],args[1]
times = range(int(start),int(stop),86400)
else:
times = args[0]
days = sorted(set(list(d.split()[0] for d in map(time2str,times))))
return days
def str2localtime(str_time):
try:
v = float(str_time)
except ValueError:
v = str2time(str_time)
if v < 0:
v = time.time() + v
v = time.strftime('%Y-%m-%dT%H:%M:%S', time.localtime(v))
return v
def dates2times(argin):
"""
Parsing dates like 'Y-M-D h:m' or '+/-X(shmdw)'
"""
return [fn.time2str(fn.str2time(a)) for a in argin]
def decimation(history, method, window='0', logger_obj=None, N=1080):
"""
Nones and NaNs are always removed if this method is called
history: array of data
method: method or callable
window: string for time
logger_obj: ArchivedTrendLogger or similar
N: max array size to return
"""
t0 = time.time()
l0 = len(history)
if not l0:
return history
trace = getattr(logger_obj, 'warning', fandango.printf)
try:
window = str2time(window or '0')
except:
window = 0
start_date, stop_date = float(history[0][0]), float(history[-1][0])
## Decimation by data_has_changed is ALWAYS done
if len(history): #method is not None
nv = []
#sq = isSequence(history[0][1])
for i, v in enumerate(history):
if (v[1] not in (None, NaN
) # is not None and (sq or not isNaN(v[1]))
#and (i in (0,l0-1,l0-2) or
#data_has_changed(history[i-1],v,history[i+1]))
):
nv.append(v)
t1 = time.time()
trace('Removed %d (None,NaN, Rep) values in %fs' %
(l0 - len(nv), t1 - t0))
t0, i, c, lh = t1, 0, 0, len(history)
while i < len(history):
if history[c] in (None, NaN):
history.pop(c)
else:
c += 1
i += 1
t1 = time.time()
trace('Removed %d (None,NaN, Rep) values in %fs' %
(l0 - len(history), t1 - t0))
history = nv
if (method and isCallable(method) and method != data_has_changed
and len(history)
and type(history[0][-1]) in (int, float, bool)): #type(None)):
# Data is filtered applying an averaging at every "window" interval.
# As range() only accept integers the minimum window is 1 second.
# It means that filtering 3 hours will implicitly prune millis data.
#DATA FROM EVAL IS ALREADY FILTERED; SHOULD NOT PASS THROUGH HERE
wmin = max(1., (stop_date - start_date) / (10 * 1080.))
wauto = max(1., (stop_date - start_date) / (10 * N))
trace('WMIN,WUSER,WAUTO = %s,%s,%s' % (wmin, window, wauto))
window = wauto if not window else max((wmin, window))
if len(history) > (stop_date - start_date) / window:
history = fandango.arrays.filter_array(data=history,
window=window,
method=method)
t2 = time.time()
trace('Decimated %d values to %d in %f seconds '
'(%s,%s)' % (l0, len(history), t2 - t1, method, window))
else:
trace('Decimation is not callable')
return history
def dates2times(argin):
"""
Parsing dates like 'Y-M-D h:m' or '+/-X(shmdw)'
"""
return [fn.time2str(fn.str2time(a)) for a in argin]
def decimation(history,method,window='0',logger_obj=None, N=1080):
"""
Nones and NaNs are always removed if this method is called
history: array of data
method: method or callable
window: string for time
logger_obj: ArchivedTrendLogger or similar
N: max array size to return
"""
t0 = time.time()
l0 = len(history)
if not l0:
return history
trace = getattr(logger_obj,'warning',fandango.printf)
try:
window = str2time(window or '0')
except:
window = 0
start_date,stop_date = float(history[0][0]),float(history[-1][0])
## Decimation by data_has_changed is ALWAYS done
if len(history): #method is not None
nv = []
#sq = isSequence(history[0][1])
for i,v in enumerate(history):
if (v[1] not in (None,NaN)# is not None and (sq or not isNaN(v[1]))
#and (i in (0,l0-1,l0-2) or
#data_has_changed(history[i-1],v,history[i+1]))
):
nv.append(v)
t1 = time.time()
trace('Removed %d (None,NaN, Rep) values in %fs'
%(l0-len(nv),t1-t0))
t0,i,c,lh = t1,0,0,len(history)
while i<len(history):
if history[c] in (None,NaN):
history.pop(c)
else:
c+=1
i+=1
t1 = time.time()
trace('Removed %d (None,NaN, Rep) values in %fs'
%(l0-len(history),t1-t0))
history = nv
if (method and isCallable(method) and method!=data_has_changed
and len(history) and type(history[0][-1]) in (int,float,bool)): #type(None)):
# Data is filtered applying an averaging at every "window" interval.
# As range() only accept integers the minimum window is 1 second.
# It means that filtering 3 hours will implicitly prune millis data.
#DATA FROM EVAL IS ALREADY FILTERED; SHOULD NOT PASS THROUGH HERE
wmin = max(1.,(stop_date-start_date)/(10*1080.))
wauto = max(1.,(stop_date-start_date)/(10*N))
trace('WMIN,WUSER,WAUTO = %s,%s,%s'%(wmin,window,wauto))
window = wauto if not window else max((wmin,window))
if len(history) > (stop_date-start_date)/window:
history = fandango.arrays.filter_array(
data=history,window=window,method=method)
t2 = time.time()
trace('Decimated %d values to %d in %f seconds '
'(%s,%s)'
%(l0,len(history),t2-t1,method,window))
else:
trace('Decimation is not callable')
return history