268 lines
8.7 KiB
Python
Executable File
268 lines
8.7 KiB
Python
Executable File
###################################################################################################
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# Deployment specific global definitions - executed after startup.py
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###################################################################################################
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from mathutils import estimate_peak_indexes, fit_gaussians, create_fit_point_list, Gaussian
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from mathutils import fit_polynomial,fit_gaussian, fit_harmonic, calculate_peaks
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from mathutils import PolynomialFunction, Gaussian, HarmonicOscillator
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import java.awt.Color as Color
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LASER_SETTLING_TIME = 3.0
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def laser_on():
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print "Laser On"
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caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 0)
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caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)
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time.sleep(LASER_SETTLING_TIME)
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def laser_off():
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print "Laser Off"
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caput("SIN-TIMAST-TMA:Beam-Las-Delay-Sel", 1)
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caput("SIN-TIMAST-TMA:Beam-Apply-Cmd.PROC", 1)
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time.sleep(LASER_SETTLING_TIME)
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def is_laser_on():
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return (caget ("SIN-TIMAST-TMA:Beam-Las-Delay-Sel",'d') == 0 )
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# Switch off magnets
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def ccr(magnet):
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while caget(magnet+ ":I-COMP") > 0:
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sleep(0.5)
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def switch_off_magnets(magnets):
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magnets = to_list(magnets)
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for m in magnets:
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caput(m + ":I-SET", 0.0)
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sleep(0.5)
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for m in magnets:
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ccr(m)
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def fit(ydata, xdata = None):
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"""
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Gaussian fit
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"""
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if xdata is None:
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xdata = frange(0, len(ydata), 1)
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#ydata = to_list(ydata)
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#xdata = to_list(xdata)
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max_y= max(ydata)
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index_max = ydata.index(max_y)
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max_x= xdata[index_max]
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print "Max index:" + str(index_max),
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print " x:" + str(max_x),
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print " y:" + str(max_y)
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gaussians = fit_gaussians(ydata, xdata, [index_max,])
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(norm, mean, sigma) = gaussians[0]
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p = plot([ydata],["data"],[xdata], title="Fit" )[0]
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fitted_gaussian_function = Gaussian(norm, mean, sigma)
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scale_x = [float(min(xdata)), float(max(xdata)) ]
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points = max((len(xdata)+1), 100)
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resolution = (scale_x[1]-scale_x[0]) / points
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fit_y = []
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fit_x = frange(scale_x[0],scale_x[1],resolution, True)
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for x in fit_x:
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fit_y.append(fitted_gaussian_function.value(x))
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p.addSeries(LinePlotSeries("fit"))
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p.getSeries(1).setData(fit_x, fit_y)
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if abs(mean - xdata[index_max]) < ((scale_x[0] + scale_x[1])/2):
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print "Mean -> " + str(mean)
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p.addMarker(mean, None, "Mean="+str(round(norm,2)), Color.MAGENTA.darker())
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return (norm, mean, sigma)
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else:
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p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY)
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print "Invalid gaussian fit: " + str(mean)
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return (None, None, None)
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def hfit(ydata, xdata = None):
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"""
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Harmonic fit
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"""
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if xdata is None:
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xdata = frange(0, len(ydata), 1)
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max_y= max(ydata)
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index_max = ydata.index(max_y)
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max_x= xdata[index_max]
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start,end = min(xdata), max(xdata)
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(amplitude, angular_frequency, phase) = fit_harmonic(ydata, xdata)
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fitted_harmonic_function = HarmonicOscillator(amplitude, angular_frequency, phase)
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print "amplitude = ", amplitude
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print "angular frequency = ", angular_frequency
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print "phase = ", phase
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f = angular_frequency/ (2* math.pi)
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print "frequency = ", f
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resolution = 4.00 # 1.00
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fit_y = []
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for x in frange(start,end,resolution, True):
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fit_y.append(fitted_harmonic_function.value(x))
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fit_x = frange(start, end+resolution, resolution)
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p = plot(ydata,"data", xdata, title="HFit")[0]
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p.addSeries(LinePlotSeries("fit"))
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p.getSeries(1).setData(fit_x, fit_y)
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#m = (phase + math.pi)/ angular_frequency
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m = -phase / angular_frequency
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if (m<start):
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m+=(1.0/f)
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if start <=m <=end:
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print "fit = ", m
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p.addMarker(m, None, "Fit="+str(round(m ,2)), Color.MAGENTA.darker())
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return (amplitude, angular_frequency, phase, True, m, fit_x, fit_y)
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else:
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print "max = ",max_x
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p.addMarker(max_x, None, "Max="+str(round(max_x ,2)), Color.MAGENTA.darker())
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return (amplitude, angular_frequency, phase, False, max_x, fit_x, fit_y)
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def elog(title, message, attachments = [], author = None, category = "Info", domain = "", logbook = "SwissFEL commissioning data", encoding=1):
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"""
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Add entry to ELOG.
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"""
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if author is None:
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author = "pshell" #get_context().user.name
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typ = "pshell"
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entry = ""
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cmd = 'G_CS_ELOG_add -l "' + logbook+ '" '
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cmd = cmd + '-a "Author=' + author + '" '
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cmd = cmd + '-a "Type=' + typ + '" '
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cmd = cmd + '-a "Entry=' + entry + '" '
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cmd = cmd + '-a "Title=' + title + '" '
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cmd = cmd + '-a "Category=' + category + '" '
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cmd = cmd + '-a "Domain=' + domain + '" '
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for attachment in attachments:
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cmd = cmd + '-f "' + attachment + '" '
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cmd = cmd + '-n ' + str(encoding)
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cmd = cmd + ' "' + message + '"'
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#print cmd
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#os.system (cmd)
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#print os.popen(cmd).read()
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import subprocess
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
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(out, err) = proc.communicate()
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if (err is not None) and err!="":
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raise Exception(err)
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print out
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def get_plot_snapshots(title = None, file_type = "png", temp_path = get_context().setup.getContextPath()):
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"""
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Returns list with file names of plots snapshots from a plotting context.
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"""
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sleep(0.1) #Give some time to plot to be finished - it is not sync with acquisition
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ret = []
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for p in get_plots(title):
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file_name = os.path.abspath(temp_path + "/" + p.getTitle() + "." + file_type)
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p.saveSnapshot(file_name , file_type)
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ret.append(file_name)
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return ret
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class Sinusoid(ReadonlyRegisterBase):
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def doRead(self):
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self.x = self.x + 5.0 if hasattr(self, 'x') else 0.0
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return math.sin(self.x * math.pi / 180.0)
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#Pseudo devices
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add_device(Sinusoid("phase"), True)
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add_device(Sinusoid("bpm_q"), True)
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add_device(Sinusoid("center_x"), True)
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add_device(Sinusoid("center_y"), True)
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center_x.setPolling(100)
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center_y.setPolling(100)
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if not get_context().isLocalMode():
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try:
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run("camtool")
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add_device(CamTool("image_stats", prefix = "SINEG01-DSCR190:", latch = True, camera = "SINEG01-DSCR190", gauss = False), True)
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except:
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pass
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#Convex hull plots
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def clear_convex_hull_plot(title):
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plots = get_plots(title = title)
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if len(plots)>0:
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plots[0].clear()
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def add_convex_hull_plot(title, x,y, name=None, clear = False, x_range = None, y_range = None):
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plots = get_plots(title = title)
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p = None
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if len(plots)==0:
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p = plot(None,name=name, title = title)[0]
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if x_range is not None:
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p.getAxis(p.AxisId.X).setRange(x_range[0], x_range[1])
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if y_range is not None:
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p.getAxis(p.AxisId.Y).setRange(y_range[0], y_range[1])
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p.setLegendVisible(True)
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else:
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p = plots[0]
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if clear:
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p.clear()
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p.addSeries(LinePlotSeries(name))
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s = p.getSeries(name)
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s.setLinesVisible(False)
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s.setPointSize(3)
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s.setData(to_array(x,'d') , to_array(y,'d'))
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#Convex Hull
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#In the first time the plot shows, it takes some time for the color to be assigned
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timeout = 0
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while s.color is None and timeout<1000:
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time.sleep(0.001)
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timeout = timeout + 1
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hull = LinePlotSeries(name + "Hull", s.color)
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p.addSeries(hull)
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#Bounding box
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#x1,x2,y1,y2 = min(x), max(x), min(y), max(y)
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#(hx,hy) = ([x1,x2, x2, x1, x1], [y1, y1, y2, y2, y1])
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(hx,hy) = convex_hull(x=x, y=y)
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hx.append(hx[0]); hy.append(hy[0])
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hull.setLineWidth(2)
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hull.setData(to_array(hx,'d') , to_array(hy,'d'))
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hull.setColor(s.color)
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return [hx,hy]
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import random
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class ComX(ReadonlyRegisterBase):
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def doRead(self):
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ret = gun_solenoid.read()/10.0 + random.random()
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print "X=",ret
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return ret
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class ComY(ReadonlyRegisterBase):
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def doRead(self):
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ret = gun_solenoid.read()/15.0 + random.random()
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print "Y=",ret
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return ret
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comx = ComX(); comx.initialize()
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comy = ComY(); comy.initialize()
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avx = create_averager(comx, 5, 0.001)
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avy = create_averager(comy, 5, 0.001)
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#CAS
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if get_context().isServerEnabled():
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import ch.psi.pshell.epics.CAS as CAS
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#CAS.setServerPort(5062)
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class ServerUrl(ReadonlyRegisterBase):
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def doRead(self):
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return get_context().server.baseURL
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d = ServerUrl()
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d.initialize()
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cas5 = CAS("PSHELL_OP:SERVER_URL", d, 'string') |