def scan_once(dT=5, T=22.0, mode=''):
(P, I, D) = caget('NIH:LIGHTWAVE.PCOF'), caget(
'NIH:LIGHTWAVE.ICOF'), caget('NIH:LIGHTWAVE.DCOF')
if mode == 'advance':
caput('NIH:TEMP.VAL_ADV', T)
cawait('NIH:TEMP.VAL_ADV')
else:
caput('NIH:TEMP.VAL', T)
cawait('NIH:TEMP.VAL')
sleep(1)
while not caget('NIH:TEMP.DMOV'):
sleep(0.05)
sleep(1)
caget('NIH:TEMP.DMOV')
t_start = time()
if mode == 'advance':
caput('NIH:TEMP.VAL_ADV', T + dT)
cawait('NIH:TEMP.VAL_ADV')
else:
caput('NIH:TEMP.VAL', T + dT)
cawait('NIH:TEMP.VAL')
sleep(1)
while not caget('NIH:TEMP.DMOV'):
sleep(0.05)
t_end = time()
sleep(5)
current = caget('NIH:TEMP.I')
res = {}
res['temperature'] = T + dT
res['current'] = current
res['t start'] = t_start
res['t end'] = t_end
res['dt'] = t_end - t_start
res['dT'] = dT
res['P'] = P
res['I'] = I
res['D'] = D
res['oasis_T'] = caget('NIH:CHILLER.VAL')
if mode == 'advance':
res['mode'] = 1
else:
res['mode'] = 0
res['data_rbv'] = asarray(
channel_archiver.history('NIH:LIGHTWAVE.RBV', t_start, t_end))
res['data_current'] = asarray(
channel_archiver.history('NIH:LIGHTWAVE.I', t_start, t_end))
res['data_val'] = asarray(
channel_archiver.history('NIH:LIGHTWAVE.VAL', t_start, t_end))
return res
def set_PIDCOF(self,value):
from CA import caput,cawait
if self.get_PIDCOF() != value:
print('setting PIDCOF: %r -> %r' %(self.get_PIDCOF(),value))
caput(self.lightwave_prefix + '.PIDCOF',value)
cawait(self.lightwave_prefix + '.PIDCOF')
def set_DCOF(self,value):
from CA import caput,cawait
if self.get_DCOF() != value:
caput(self.lightwave_prefix + '.DCOF',value)
cawait(self.lightwave_prefix + '.DCOF')
def set_set_lightwaveT(self,value):
from CA import caput, cawait
from numpy import isnan
if value is not isnan:
caput(self.lightwave_prefix + '.VAL', value = float(value))
cawait(self.lightwave_prefix + '.VAL')