def StartAcquisition(protocolReactor):
global CPTH
global id
global StartTime
global dataset
StartTime = datetime.datetime.now()
filename = os.path.join(INSDIR+'/Python/temp', StartTime.strftime("%Y%m%d-%H%M%S")+'-record%s'%id+'.hdf5')
# Creates HDF5 file to save signals in real time
fid = h5db.hdf(filename, 'w')
header = {'MAC': CPTH.macAddress, 'date': datetime.datetime.utcnow().isoformat()}
fid.addInfo(header)
signalsRT = {}
blockShape = (CPTH.nSamples,)
keysSorted = dataset.keys()
keysSorted.sort()
for i,j in enumerate(dataset):
mdata = {'type': '/AnalogInputs/Analog%s'%i, 'name': dataset[keysSorted[i]]['label'].split(' [')[0],'labels': [dataset[keysSorted[i]]['label']]}
dataName = dataset[keysSorted[i]]['label'].split(' [')[0]
signalsRT['Analog%s'%i] = fid.addSignalRT(mdata['type'], mdata, dataName, blockShape)
for i in range(4) :
mdata = {'type': '/DigitalInputs/Digital%s'%i, 'name': 'Digital%s'%i,'labels': ['Digital%s'%i]}
dataName = 'Digital%s'%i
signalsRT['Digital%s'%i] = fid.addSignalRT(mdata['type'], mdata, dataName, blockShape)
mdata = {'type': '/others', 'name': 'SeqN', 'labels':['SeqN']}
signalsRT['SeqN'] = fid.addSignalRT(mdata['type'], mdata, 'SeqN', blockShape)
CPTH.file=fid
CPTH.RT = signalsRT
CPTH.filename = filename
# Sends command to start acquisition
CPTH.acquire = True
CPTH.reactorr = protocolReactor
id=id+1
print "Acquisition set to start"
def saveFile(path,file,type):
try:
global CPTH
file.decode("utf-8","ignore")
if type=="txt":
if file[-4:] == '.txt': file = file[:-4]
f=h5py.File(CPTH.filename);
#Txt File
mdata = f.attrs['json']
head = eval(mdata)
sig = listHDF5Signals(f)
FinalArray = numpy.zeros((len(f[sig[0]].value),len(sig)))
h = [None] * len(sig)
for s in sig:
if 'SeqN' in s:
FinalArray[:,0] = f[s].value
h[0] = s.split('/')[-1]
elif 'Digital' in s:
d = s.split('/')[-1][-1]
FinalArray[:,int(d)+1] = f[s].value
h[int(d)+1] = s.split('/')[-1]
elif 'Analog' in s:
a = s.split('/')[-2][-1]
FinalArray[:,int(a)+5] = f[s].value
h[int(a)+5] = s.split('/')[-1]
head['ChannelsOrder'] = h
numpy.savetxt(path+'/'+file+'.txt',FinalArray,fmt='%0d',delimiter='\t',header=json.dumps(head))
f.close()
#hdf5 file
else:
if file[-5:] == '.hdf5': file = file[:-5]
shutil.copy(CPTH.filename,os.path.join(path,file+'.hdf5'))
f = h5db.hdf(os.path.join(path,file+'.hdf5'))
mdata = f.getInfo()['header']
mdata['name'] = file
f.addInfo(mdata)
f.close()
except Exception:
print traceback.format_exc()
return 'FileSaved()'
