def __init__(self, trainStep=1):
self.t_start = time.time()
self.t_start_loop = self.t_start
self.for_loop_step_dur = 0
self.n = -1
self.freq_avg = 0
self.dt_avg = 0
self.trainId = 0
self.trainId_old = -1
self.skip_count = 0
self.trainStep = trainStep
self.dt_buffer = online.DataBuffer(20)
#TOF_dmap_opt = rasterize(TOF_dmap)
TOF_dmap_opt = TOF_dmap_opt.opts(width=width,
height=height,
ylim=ylim,
xlim=xlim,
logz=logz,
title=title,
colorbar=True,
cmap='Plasma')
#TOF_dmap_opt = datashade(TOF_dmap, streams=[PlotSize, RangeXY], dynamic=True)
return hv_to_bokeh_obj(TOF_dmap_opt), TOF_dmap_opt
# Data buffers for live stream
buffer_length = 300
_SQSbuffer__TOF_integral = online.DataBuffer(buffer_length)
_SQSbuffer__TOF_height = online.DataBuffer(buffer_length)
_SQSbuffer__GMD_history = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_integral = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_hits = online.DataBuffer(5)
_SQSbuffer__pnCCD_mean_helper = online.DataBuffer(100)
_SQSbuffer__pnCCD_mean_helper_2 = online.DataBuffer(20)
_SQSbuffer__pnCCD_hits_tids = online.DataBuffer(5)
_SQSbuffer__pnCCD_hitrate_helper = online.DataBuffer(300)
_SQSbuffer__pnCCD_hitrate = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_hitrate_helper_2 = online.DataBuffer(300)
_SQSbuffer__pnCCD_hitrate_2 = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_hits__last_hit = online.DataBuffer(1)
_SQSbuffer__TOF_hits__last_hit = online.DataBuffer(1)
_SQSbuffer__trainId__last_hit = online.DataBuffer(1)
_SQSbuffer__pnCCD_hits__pnccdDetect__last_hit = online.DataBuffer(5)
title=title,
colorbar=True))
def start_stop_dataThread():
global makeBigData_stop
if not makeBigData_stop:
makeBigData_stop = True
else:
thread.start()
# Data buffers for live stream
buffer_len = 1500
_SQSbuffer__TOF_integral = online.DataBuffer(buffer_len)
_SQSbuffer__TOF_integral_1 = online.DataBuffer(buffer_len)
_SQSbuffer__TOF_integral_2 = online.DataBuffer(buffer_len)
_SQSbuffer__TOF_integral_3 = online.DataBuffer(buffer_len)
_SQSbuffer__TOF_avg = online.DataBuffer(100)
_SQSbuffer__TOF_hit_trace = online.DataBuffer(1)
_SQSbuffer__TOF_hits = online.DataBuffer(1000)
_SQSbuffer__GMD_history = online.DataBuffer(buffer_len)
_SQSbuffer__TOF_hits = online.DataBuffer(10)
_SQSbuffer__counter = online.DataBuffer(buffer_len)
print("...2")
# Data pipes and buffers for plots
## pipes provide a full update of data to the underlying object eg. plot
## buffers add only a single value to the plot and may kick one out when number of elements in the buffer has reached the length/size of the buffer
_pipe__TOF_single = Pipe(data=[])
if (-np.min(d['tof']) > tof_hit_threshold):
bestTof(d['tof'])
bestTofFig.plotTofBuffer(bestTof)
tofIntPlot.setData(np.asarray(tofInt)) # plot tof trace integral buffer
tofHeightPlot.setData(np.asarray(tofHeight)) # plot tof trace height buffer
hitBufPlot.setData(np.asarray(hitBuf)) # plot tof hitrate buffer
## Process Events
pg.QtGui.QApplication.processEvents() # make sure it displays
return d
# Setup plots and Buffers
## Hit rate
tofBuffer = tools.DataBuffer(100) # a buffer to store tof traces for hitrate determination
hitBuf = online.DataBuffer(10000) # a buffer to store the actual hitrates
hitWin = win = pg.GraphicsWindow() # a window for the hitrates
hitBufPlot = hitWin.addPlot(title='Hitrate in % - hit threshold (height): {}'.format(tof_hit_threshold)).plot() # a plot for the hitrates
## Trace of the last found Hit
bestTof = tools.DataBuffer(1) #a buffer to store the brightest
bestTofFig = online.TofBufferPlotter(1, title='Last hit ToF - hit threshold (height): {}'.format(tof_hit_threshold))
## a histogram for tof heights
lowestTof = online.HistogramPlotter(0, 4000, 100, title='ToF heights - Histogram') # from 0 to 4000 with 100 bins
## most recent full integrals of tof data
tofInt = online.DataBuffer(1000)
intWin = win = pg.GraphicsWindow()
tofIntPlot = intWin.addPlot(title='Recent ToF Integrals').plot()
def pnCCDData_plot(pipe_or_buffer, width=500, height=500,ylim=(-0.5,0.5),xlim=(-0.5,0.5), title=None):
TOF_dmap = hv.DynamicMap(hv.Image, streams=[pipe_or_buffer])
#TOF_dmap_opt = rasterize(TOF_dmap)
TOF_dmap_opt = datashade(TOF_dmap, streams=[PlotSize, RangeXY], dynamic=True)
return hv_to_bokeh_obj( TOF_dmap_opt.opts(width=width,height=height,ylim=ylim,xlim=xlim, title = title) )
def start_stop_dataThread():
global makeBigData_stop
if not makeBigData_stop:
makeBigData_stop = True
else:
thread.start()
# Data buffers for live stream
_SQSbuffer__TOF_integral = online.DataBuffer(100)
_SQSbuffer__GMD_history = online.DataBuffer(100)
_SQSbuffer__pnCCD_integral = online.DataBuffer(100)
_SQSbuffer__pnCCD_hits = online.DataBuffer(10)
for k in range(5):
_SQSbuffer__pnCCD_hits(np.zeros(shape=(1024,1024)))
_SQSbuffer__counter = online.DataBuffer(100)
print("...2")
# Data pipes and buffers for plots
## pipes provide a full update of data to the underlying object eg. plot
## buffers add only a single value to the plot and may kick one out when number of elements in the buffer has reached the length/size of the buffer
_pipe__TOF_single = Pipe(data=[])
#_buffer__TOF_integral = Buffer(pd.DataFrame({'x':[],'y':[]}, columns=['x','y']), length=100, index=False)
_pipe__TOF_integral = Pipe(data=[])
_pipe__pnCCD_single = Pipe(data=[])
def start_stop_dataThread():
#print("~~~~~~~~~~~~~~~~ ATTEMPT STOPPING THREAD")
#~ thread.end()
print("Attempt Clear PNCCD MEAN BUFFER")
_SQSbuffer__pnCCD_mean_helper = online.DataBuffer(100)
print(_SQSbuffer__pnCCD_mean_helper.length)
return hv_to_bokeh_obj(TOF_dmap_opt), TOF_dmap_opt
def start_stop_dataThread():
#print("~~~~~~~~~~~~~~~~ ATTEMPT STOPPING THREAD")
#~ thread.end()
print("Attempt Clear PNCCD MEAN BUFFER")
_SQSbuffer__pnCCD_mean_helper = online.DataBuffer(100)
print(_SQSbuffer__pnCCD_mean_helper.length)
# Data buffers for live stream
buffer_length = 1500
mean_1_length = 10
mean_2_length = 20
_SQSbuffer__GMD_history = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_integral = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_1_integral = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_2_integral = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_integral_proc = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_1_integral_proc = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_1_integral_proc_top = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_1_integral_proc_bottom = online.DataBuffer(
buffer_length)
_SQSbuffer__pnCCD_mean_1_integral_proc_right = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_1_integral_proc_left = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_2_integral_proc = online.DataBuffer(buffer_length)
_SQSbuffer__pnCCD_mean_helper_1 = online.DataBuffer(mean_1_length)
_SQSbuffer__pnCCD_mean_helper_2 = online.DataBuffer(mean_2_length)
_SQSbuffer__xgm_mean_helper_1 = online.DataBuffer(mean_1_length)
_SQSbuffer__xgm_mean_helper_2 = online.DataBuffer(mean_2_length)