def _loop_once():
"""Run the main loop once
This uses the global variables from setup and start, and adds a set of global variables
"""
global parser, args, config, r, response, patch
global monitor, debug, delay, prefix, input_name, input_variable
if patch.getint('processing', 'enable', default=1):
# the compressor/expander applies to all channels and must exist as float or redis key
scale = patch.getfloat('scale', 'lo', default=1.)
offset = patch.getfloat('offset', 'lo', default=0.)
lo = patch.getfloat('processing', 'lo')
lo = EEGsynth.rescale(lo, slope=scale, offset=offset)
scale = patch.getfloat('scale', 'hi', default=1.)
offset = patch.getfloat('offset', 'hi', default=0.)
hi = patch.getfloat('processing', 'hi')
hi = EEGsynth.rescale(hi, slope=scale, offset=offset)
monitor.update('lo', lo)
monitor.update('hi', hi)
if lo is None or hi is None:
monitor.debug("cannot apply compressor/expander")
return
for name, variable in zip(input_name, input_variable):
scale = patch.getfloat('scale', name, default=1)
offset = patch.getfloat('offset', name, default=0)
val = patch.getfloat('input', name)
if val == None:
# the value is not present in redis, skip it
continue
val = EEGsynth.rescale(val, slope=scale, offset=offset)
val = EEGsynth.compress(val, lo, hi)
key = prefix + "." + variable
patch.setvalue(key, val)
monitor.update(key, val)
continue
if chanval == None:
# the value is not present in redis, skip it
continue
if EEGsynth.getint('compressor_expander', 'enable', config, r):
# the compressor applies to all channels and must exist as float or redis key
lo = EEGsynth.getfloat('compressor_expander', 'lo', config, r)
hi = EEGsynth.getfloat('compressor_expander', 'hi', config, r)
if lo is None or hi is None:
if debug > 1:
print "cannot apply compressor/expander"
else:
# apply the compressor/expander
chanval = EEGsynth.compress(chanval, lo, hi)
# the scale option is channel specific
scale = EEGsynth.getfloat('scale', chanstr, config, r, default=1)
# the offset option is channel specific
offset = EEGsynth.getfloat('offset', chanstr, config, r, default=0)
# apply the scale and offset
chanval = EEGsynth.rescale(chanval, slope=scale, offset=offset)
chanval = int(chanval)
if dmxdata[chanindx] != chr(chanval):
if debug > 0:
print "DMX channel%03d" % chanindx, '=', chanval
# update the DMX value for this channel
dmxdata = senddmx(dmxdata, chanindx, chanval)
elif (time.time() - prevtime) > 1:
continue
if chanval==None:
# the value is not present in redis, skip it
continue
if patch.getint('compressor_expander', 'enable'):
# the compressor applies to all channels and must exist as float or redis key
lo = patch.getfloat('compressor_expander', 'lo')
hi = patch.getfloat('compressor_expander', 'hi')
if lo is None or hi is None:
if debug>1:
print("cannot apply compressor/expander")
else:
# apply the compressor/expander
chanval = EEGsynth.compress(chanval, lo, hi)
# the scale option is channel specific
scale = patch.getfloat('scale', chanstr, default=1)
# the offset option is channel specific
offset = patch.getfloat('offset', chanstr, default=0)
# apply the scale and offset
chanval = EEGsynth.rescale(chanval, slope=scale, offset=offset)
value[chanindx] = chanval
for chanindx,chanstr in zip(list(range(numchannel)), inputlist):
for channel in range(numchannel):
key = prefix + "." + chanstr
val = value[chanindx]
patch.setvalue(key, val)
if any(item is None for item in val):
# the control value is not present in redis, skip it
continue
else:
val = [float(x) for x in val]
if EEGsynth.getint('compressor_expander', 'enable', config, r):
# the compressor applies to all channels and must exist as float or redis key
lo = EEGsynth.getfloat('compressor_expander', 'lo', config, r)
hi = EEGsynth.getfloat('compressor_expander', 'hi', config, r)
if lo is None or hi is None:
if debug > 1:
print "cannot apply compressor/expander"
else:
# apply the compressor/expander
val = EEGsynth.compress(val, lo, hi)
# the scale option is channel specific
scale = EEGsynth.getfloat('scale', key1, config, r, default=1)
# the offset option is channel specific
offset = EEGsynth.getfloat('offset', key1, config, r, default=0)
# apply the scale and offset
val = EEGsynth.rescale(val, slope=scale, offset=offset)
if debug > 1:
print 'OSC message', key3, '=', val
msg = OSC.OSCMessage(key3)
msg.append(val)
s.send(msg)