import  ch.psi.pshell.epics.ChannelDouble as ChannelDouble
A1 = ChannelDouble("Phase (deg.)",                "SARUN11-UIND030:PHI_SET")
S1 = ChannelDouble("energy per pulse (uJ)",   "SARFE10-PBPG050:PHOTON-ENERGY-PER-PULSE-US")
S2 = ChannelDouble("HAMP",               "SARFE10-PBPG050:HAMP-INTENSITY-CAL")
A1.initialize()
S1.initialize()
S2.initialize()
A1_init = A1.read()
A1i    = -180
A1f    = 180
nstep  = 72
lat    = 0.11
nav    = 100
plt    = plot(None, title="Output")[0]
plt.clear()
plt.setStyle(plt.Style.ErrorY)
plt.addSeries(LinePlotErrorSeries("Sensor1", Color.red))
def before(position, scan):    
    caput(GAP + ":GO", 1)  
    start = time.time()
    while abs(readout.read() - GAP.read()) > TOLERANCE:        
        time.sleep(0.1)
        if time.time() - start > TIMEOUT:
            raise Exception ("Timeout waiting gap change")
def after_sample(record, scan):
    plt.getSeries(0).appendData(record.positions[0], record.values[0].mean, record.values[0].stdev)
try:
    S1_averager = create_averager(S1, nav, lat)
    S2_averager = create_averager(S2, nav, lat)
    S2_averager.monitored=True
    time.sleep(10.0)
    r = lscan(A1, (S1_averager, S2_averager), A1i, A1f, nstep, latency=5.0, after_read = after_sample)
    Act1     = r.getPositions(0)
    S1mean   = [val.mean for val in r.getReadable(0)]
    S1rms    = [val.stdev for val in r.getReadable(0)]
    S2mean   = [val.mean for val in r.getReadable(1)]
    S2rmsn   = [val.stdev for val in r.getReadable(1)]
finally:
    A1.write(A1_init)
    A1.close()
    S1.close()
    S2.close()