def patch_booleans(history, trace=TRACE):
if trace:
print('In patch_booleans(%d,%s)' % (len(history),
(history or ('', ))[0]))
fromHistoryBuffer = len(history) and hasattr(history[0], 'time')
patch = 0
for h in history:
v = h[1] if not fromHistoryBuffer else h.value
if v is None:
continue
if isinstance(v, int) or isinstance(v, float):
break
if isinstance(v,basestring) and \
(not isNumber(v) and v.lower() not in ('true','false','none')):
break
if isinstance(v, basestring):
if isNumber(v) and v in ('1', '0', '1.0', '0.0'): patch = 1
if v.lower() in ('true', 'false', 'none'): patch = 2
break
if isinstance(v, bool):
patch = 1
break
if patch:
for i, h in enumerate(history):
v = h.value if fromHistoryBuffer else h[1]
if patch == 2:
v = v.lower().strip() in ('true', '1')
if fromHistoryBuffer:
h.value = int(v)
else:
history[i] = (h[0], int(v))
return history
def patch_booleans(history,trace=TRACE):
if trace:
print('In patch_booleans(%d,%s)'%(len(history),(history or ('',))[0]))
fromHistoryBuffer = len(history) and hasattr(history[0],'time')
patch = 0
for h in history:
v = h[1] if not fromHistoryBuffer else h.value
if v is None:
continue
if isinstance(v,int) or isinstance(v,float):
break
if isinstance(v,basestring) and \
(not isNumber(v) and v.lower() not in ('true','false','none')):
break
if isinstance(v,basestring):
if isNumber(v) and v in ('1','0','1.0','0.0'): patch=1
if v.lower() in ('true','false','none'): patch=2
break
if isinstance(v,bool):
patch = 1
break
if patch:
for i,h in enumerate(history):
v = h.value if fromHistoryBuffer else h[1]
if patch==2:
v = v.lower().strip() in ('true','1')
if fromHistoryBuffer:
h.value = int(v)
else:
history[i] = (h[0],int(v))
return history
def __contains__(self, key):
if key in self.mappings:
return True
elif fun.isNumber(key):
#Return a mapped addresses
return any(m.has_address(key) for m in self.mappings.values())
else:
return False
def reader_hook(self, attribute, values):
"""This method will be executed by the ReaderProcess to process the queried data."""
try:
print('>' * 80)
print(time.ctime() + ' In reader_hook(%s,[%d])' %
(attribute, len(values)))
MAXDIM = 1024 * 1024 * 1024
#First create the attributes
epoch, data, aname = [], [], attribute.replace('/', '__')
values = decimate_values(values)
[(epoch.append(v[0]), data.append(v[1])) for v in values]
writable = PyTango.AttrWriteType.READ
#Adding time attribute
m, atformat, dims = None, PyTango.SpectrumAttr, [MAXDIM]
for d in data:
if d is not None:
if fn.isSequence(d):
atformat, dims = PyTango.ImageAttr, [MAXDIM, MAXDIM]
m = d[0]
else:
m = d
break
attype = PyTango.DevDouble if (
fn.isNumber(m) or fn.isBool(m)) else PyTango.DevString
self.add_attribute(
PyTango.ImageAttr(aname, attype, writable, MAXDIM, MAXDIM),
self.read_dyn_attr, None, self.is_dyn_attr_allowed)
self.add_attribute(
PyTango.SpectrumAttr(aname + '_t', PyTango.DevDouble, writable,
MAXDIM), self.read_dyn_attr, None,
self.is_dyn_attr_allowed)
self.add_attribute(
PyTango.SpectrumAttr(aname + '_d', PyTango.DevString, writable,
MAXDIM), self.read_dyn_attr, None,
self.is_dyn_attr_allowed)
self.add_attribute(atformat(aname + '_r', attype, writable,
*dims), self.read_dyn_attr, None,
self.is_dyn_attr_allowed)
#Then add the data to Cache values, so IsDataReady will return True
t = fn.now()
self.RemoveCachedAttribute(attribute)
self.AttrData[attribute] = (t, atformat, attype, values)
print('Done: %s,%s,%s,%s,%d' %
(attribute, t, atformat, attype, len(values)))
except:
print(traceback.format_exc())
def __getitem__(self, key):
if fun.isNumber(key):
key = int(key)
for v in self.mappings.values(): #Return a mapped addresses
if v.has_address(key):
return v.get_address(key)
if self.default is not Exception:
return self.default
raise Exception("AdressNotMapped: '%s'" % key)
elif key in self.mappings:
return self.mappings[key] #Return a Map
else:
raise Exception("KeyError: '%s'" % key)
def __setitem__(self, key, value):
if fun.isNumber(key):
raise Exception('NotAllowed!')
else:
self.mappings[key].set(value)
def decimation(history,method,window='0',logger_obj=None, N=MAX_RESOLUTION):
"""
Nones and NaNs are always removed if this method is called
history: array of data
method: method, callable or interval, from fandango.arrays
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:
if not isinstance(window,(int,float)):
window = str2time(window or '0')
except:
window = 0
if isNumber(method) and not window:
method, window = fandango.arrays.pickfirst, float(method)
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()
if l0!=len(nv):
trace('Removed %d repeated 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()
if l0!=len(history):
trace('Removed %d (None,NaN) values in %fs'
%(l0-len(history),t1-t0))
history = nv
if (method and isCallable(method) and len(history)):
# 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
if type(history[0][-1]) not in (int,float,bool):
method = fandango.arrays.pickfirst
trace('Decimation forced to %s' % method)
wmin = max(1.,(stop_date-start_date)/(2*MAX_RESOLUTION))
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) > float(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(%s) is not callable' % method)
pass
return history
def reader_hook(self,attribute,values):
"""This method will be executed by the ReaderProcess to process the queried data."""
try:
print('>'*80)
print(time.ctime()+' In reader_hook(%s,[%d])'
%(attribute,len(values)))
self.counter-=1
print(self.counter)
MAXDIM = 1024*1024*1024
#First create the attributes
epoch,data,aname = [],[],attribute.replace('/','__')
values = decimate_values(values)
[(epoch.append(v[0]),data.append(v[1])) for v in values]
writable = PyTango.AttrWriteType.READ
#Adding time attribute
m,atformat,dims = None,PyTango.SpectrumAttr,[MAXDIM]
for d in data:
if d is not None:
if fn.isSequence(d):
atformat,dims = PyTango.ImageAttr,[MAXDIM,MAXDIM]
m = d[0]
else:
m = d
break
attype = PyTango.DevDouble if (fn.isNumber(m) or fn.isBool(m)) else PyTango.DevString
self.add_attribute(
PyTango.ImageAttr(aname,attype,writable,MAXDIM,MAXDIM),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
self.add_attribute(
PyTango.SpectrumAttr(aname+'_t',PyTango.DevDouble, writable,MAXDIM),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
self.add_attribute(
PyTango.SpectrumAttr(aname+'_d',PyTango.DevString, writable,MAXDIM),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
#ARRAY
self.add_attribute(atformat(aname+'_r',attype, writable,*dims),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
#LAST VALUE
self.add_attribute(PyTango.Attr(aname+'_l',attype,PyTango.AttrWriteType.READ),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
#LAST DATE
self.add_attribute(
PyTango.Attr(aname+'_ld',PyTango.DevString,PyTango.AttrWriteType.READ),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
self.add_attribute(
PyTango.Attr(aname+'_rg',PyTango.DevString,PyTango.AttrWriteType.READ),
self.read_dyn_attr,None,self.is_dyn_attr_allowed)
#Then add the data to Cache values, so IsDataReady will return True
t = fn.now()
self.RemoveCachedAttribute(attribute)
self.AttrData[attribute] = (t,atformat,attype,values)
print('Done: %s,%s,%s,%s,%d'%(attribute,t,atformat,attype,len(values)))
except:
print(traceback.format_exc())