def dsoautoscale():
global dsobench
dsobench.write(':AUTOSCALE')
status = DSO.channel1(dsobench) # channel 1
yrange, yscale, yoffset = status[1]['RANGE'], status[1]['SCALE'], status[1]['OFFSET']
status = DSO.channel2(dsobench) # channel 2
yrange2, yscale2, yoffset2 = status[1]['RANGE'], status[1]['SCALE'], status[1]['OFFSET']
status = DSO.timebase(dsobench) # timebase
trange, tdelay, tscale = status[1]['RANGE'], status[1]['DELAY'], status[1]['SCALE']
trange, tdelay, tscale = float(trange)/cnst.nano, float(tdelay)/cnst.nano, float(tscale)/cnst.nano
return jsonify(yrange=yrange, yscale=yscale, yoffset=yoffset, yrange2=yrange2, yscale2=yscale2, yoffset2=yoffset2, trange=trange, tdelay=tdelay, tscale=tscale)
def dsoabout():
global dsobench
message = []
status = DSO.model(dsobench) # model
message += ['Model: %s (%s)' % (status[1], status[0])]
status = DSO.channel1(dsobench) # channel 1
message += ['Channel 1: %s (%s)' % (status[1], status[0])]
status = DSO.channel2(dsobench) # channel 2
message += ['Channel 2: %s (%s)' % (status[1], status[0])]
status = DSO.timebase(dsobench) # timebase
message += ['Timebase: %s (%s)' % (status[1], status[0])]
status = DSO.acquiredata(dsobench) # acquire data
message += ['Acquisition of Data: %s (%s)' % (status[1], status[0])]
return jsonify(message=message)
def dsoreset():
global dsobench
try:
dsobench = DSO.Initiate()
status = "Success"
except: status = "Error"
return jsonify(message=status)
def dsosettings():
global dsobench
message = []
rnge = request.args.get('rnge')
scal = request.args.get('scal')
ofset = request.args.get('ofset')
stat = DSO.channel1(dsobench, action=['Set', 'DC', rnge, scal, ofset, 'Volt', 'OFF'])
message += ['CHANNEL 1: %s <%s>' %(stat[1], stat[0])]
rnge2 = request.args.get('rnge2')
scal2 = request.args.get('scal2')
ofset2 = request.args.get('ofset2')
stat = DSO.channel2(dsobench, action=['Set', 'DC', rnge2, scal2, ofset2, 'Volt', 'OFF'])
message += ['CHANNEL 2: %s <%s>' %(stat[1], stat[0])]
trnge = request.args.get('trnge')
tdelay = request.args.get('tdelay')
tscal = request.args.get('tscal')
stat = DSO.timebase(dsobench, action=['Set', 'NORMAL', trnge + 'ns', tdelay + 'ns', tscal + 'ns'])
message += ['TIMEBASE: %s <%s>' %(stat[1], stat[0])]
avenum = request.args.get('avenum')
stat = DSO.acquiredata(dsobench, action=['Set', 'average', '100', avenum])
message += ['ACQUIRE DATA: %s <%s>' %(stat[1], stat[0])]
# Generate Figure
DSO.waveform(dsobench, action=['Set', 'max', 'channel1', 'ascii', '?', '?']) # "error: undefined header" will appear #this will light up channel1:display
ans = list(DSO.waveform(dsobench))[1]
y, dx = ans['DATA'], float(ans['XINCrement'])
unitY = list(DSO.channel1(dsobench))[1]["UNITs"]
DSO.display2D(dx, y, units=['s', unitY], channel=1) #Figure will be in static/img
DSO.waveform(dsobench, action=['Set', 'max', 'channel2', 'ascii', '?', '?']) # "error: undefined header" will appear #this will light up channel1:display
ans = list(DSO.waveform(dsobench))[1]
y, dx = ans['DATA'], float(ans['XINCrement'])
unitY = list(DSO.channel2(dsobench))[1]["UNITs"]
DSO.display2D(dx, y, units=['s', unitY], channel=2) #Figure will be in static/img
return jsonify(message=message)
def dsoclose():
global dsobench
status = DSO.close(dsobench)
return jsonify(message=status)
