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gobbo_a
2017-08-29 17:27:31 +02:00
commit 6c1bfd9ea3
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28
config/config.properties Normal file
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#Tue Aug 29 17:25:22 CEST 2017
autoSaveScanData=true
createSessionFiles=false
dataLayout=default
dataPath={data}/{year}_{month}/{date}/{date}_{time}_{name}
dataProvider=h5
dataScanFlushRecords=false
dataScanPreserveTypes=false
dataScanReleaseRecords=false
dataServerPort=-1
hostName=null
instanceName=
logDaysToLive=-1
logLevel=Info
logLevelConsole=Off
logPath={logs}/{date}_{time}
scanStreamerPort=-1
serverEnabled=false
serverPort=8080
simulation=false
terminalEnabled=false
terminalPort=3579
userAuthenticator=
userManagement=false
versionTrackingEnabled=true
versionTrackingLogin={context}/svcusr-hlapp_robot
versionTrackingManual=false
versionTrackingRemote=git@git.psi.ch\:pshell_config/sf-ph.git

6
config/devices.properties Normal file
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dispatcher=ch.psi.pshell.bs.Dispatcher|https://dispatcher-api.psi.ch/sf|||
cam_server=ch.psi.pshell.bs.PipelineServer|sf-daqsync-01:8889|||
pbpg_mx=ch.psi.pshell.epics.Motor|SARFE10-PBPG050:MOTOR_X|||true
pbpg_my=ch.psi.pshell.epics.Motor|SARFE10-PBPG050:MOTOR_Y|||true
adc_xh1=ch.psi.pshell.epics.ChannelInteger|SARFE10-PBPG050:HAMP-014-x-h1-DATA-SUM|||true
adc_yh2=ch.psi.pshell.epics.ChannelInteger|SARFE10-PBPG050:HAMP-011-y-h2-DATA-SUM|||true

11
config/jcae.properties Normal file
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#Tue Aug 29 17:00:35 CEST 2017
ch.psi.jcae.ContextFactory.addressList=172.26.0.255 172.26.2.255 172.26.8.255 172.26.16.255 172.26.24.255 172.26.32.255 172.26.40.255 172.26.120.255
ch.psi.jcae.ContextFactory.serverPort=
ch.psi.jcae.ContextFactory.maxArrayBytes=50000000
ch.psi.jcae.ChannelFactory.retries=1
ch.psi.jcae.ChannelFactory.timeout=1250
ch.psi.jcae.impl.DefaultChannelService.retries=4
ch.psi.jcae.impl.DefaultChannelService.timeout=1000
ch.psi.jcae.ContextFactory.autoAddressList=true
ch.psi.jcae.ContextFactory.useShellVariables=true
ch.psi.jcae.ContextFactory.addLocalBroadcastInterfaces=false

18
config/setup.properties Normal file
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#Tue Aug 29 16:56:43 CEST 2017
configFile={config}/config.properties
configFileDevices={config}/devices.properties
configFilePlugins={config}/plugins.properties
configFileTasks={config}/tasks.properties
configPath={home}/config
contextPath={outp}/context
dataPath={outp}/data
devicesPath={home}/devices
extensionsPath={home}/extensions
imagesPath={outp}/images
libraryPath={script}; {script}/Lib
logPath={outp}/log
pluginsPath={home}/plugins
scriptPath={home}/script
scriptType=py
sessionsPath={outp}/sessions
wwwPath={home}/www

24
devices/cam_server.properties Normal file
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#Tue Aug 29 17:10:09 CEST 2017
colormap=Flame
colormapAutomatic=true
colormapMax=NaN
colormapMin=NaN
flipHorizontally=false
flipVertically=false
grayscale=false
invert=false
rescaleFactor=1.0
rescaleOffset=0.0
roiHeight=-1
roiWidth=-1
roiX=0
roiY=0
rotation=0.0
rotationCrop=false
scale=1.0
spatialCalOffsetX=-50.03909304143862
spatialCalOffsetY=-50.048875855327466
spatialCalScaleX=-1.0
spatialCalScaleY=-1.0
spatialCalUnits=mm
transpose=false

6
devices/dispatcher.properties Normal file
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#Tue Aug 29 17:27:27 CEST 2017
disableCompression=false
dropIncomplete=false
keepListeningOnStop=false
parallelHandlerProcessing=true
socketType=DEFAULT

15
devices/pbpg_mx.properties Normal file
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#Tue Aug 29 17:00:42 CEST 2017
defaultSpeed=1.5
estbilizationDelay=0
hasEnable=false
homingType=None
maxSpeed=10.0
maxValue=0.8
minSpeed=NaN
minValue=-0.6
offset=0.0
precision=3
resolution=0.001
rotation=false
scale=1.0
unit=mm

15
devices/pbpg_my.properties Normal file
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#Tue Aug 29 17:00:42 CEST 2017
defaultSpeed=1.5
estbilizationDelay=0
hasEnable=false
homingType=None
maxSpeed=10.0
maxValue=1.0
minSpeed=NaN
minValue=-1.4
offset=0.0
precision=3
resolution=0.001
rotation=false
scale=1.0
unit=mm

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script/PbpgPosScan.py Normal file
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from mathutils import fit_polynomial
from mathutils import PolynomialFunction
import math
from plotutils import plot_function
print "Starting"
#Creating averaging devices
av_adc_xh1 = create_averager(adc_xh1, count = 10, interval = -1, name = "av_adc_xh1")
av_adc_xh2 = create_averager(adc_yh2, count = 10, interval = -1, name = "av_adc_xh2")
av_adc_xh2.monitored = True
#The actuals scan
r=lscan(pbpg_mx, [av_adc_xh1, av_adc_xh2], 0.0, 0.5, 10, latency = 0.0)
#Fitting
values = to_array(r.getReadable(0), 'd')
positions = r.getPositions(0)
pars_polynomial = (a0, a1, a2) = fit_polynomial(values, positions, 2)
#Writing metadata to data file
path = get_exec_pars().scanPath
set_attribute(path, "a0", a0)
set_attribute(path, "a1", a1)
set_attribute(path, "a2", a2)
#Plotting fit and writing fitting parameters
outp = "a0="+ ("%0.4f" % a0) + "a1="+ ("%0.4f" % a1) + "a2="+ ("%0.4f" % a2)
print outp
p = get_plots()[0]
p.addText((min(positions) + max(positions))/2, max(values), outp, Color.BLACK)
plot_function(p, PolynomialFunction(pars_polynomial), "Fit",positions, show_points = False, show_lines = True, color = Color.BLUE)

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script/local.groovy Normal file
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///////////////////////////////////////////////////////////////////////////////////////////////////
// Deployment specific global definitions - executed after startup.groovy
///////////////////////////////////////////////////////////////////////////////////////////////////

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script/local.js Normal file
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///////////////////////////////////////////////////////////////////////////////////////////////////
// Deployment specific global definitions - executed after startup.js
///////////////////////////////////////////////////////////////////////////////////////////////////

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script/local.py Normal file
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###################################################################################################
# Deployment specific global definitions - executed after startup.py
###################################################################################################
#Device pool customization
pbpg_mx.setTrustedWrite(False)
pbpg_my.setTrustedWrite(False)
#Utilities
def fit(ydata, xdata = None):
"""
Gaussian fit
"""
if xdata is None:
xdata = frange(0, len(ydata), 1)
#ydata = to_list(ydata)
#xdata = to_list(xdata)
max_y= max(ydata)
index_max = ydata.index(max_y)
max_x= xdata[index_max]
print "Max index:" + str(index_max),
print " x:" + str(max_x),
print " y:" + str(max_y)
gaussians = fit_gaussians(ydata, xdata, [index_max,])
(norm, mean, sigma) = gaussians[0]
p = plot([ydata],["data"],[xdata], title="Fit" )[0]
fitted_gaussian_function = Gaussian(norm, mean, sigma)
scale_x = [float(min(xdata)), float(max(xdata)) ]
points = max((len(xdata)+1), 100)
resolution = (scale_x[1]-scale_x[0]) / points
fit_y = []
fit_x = frange(scale_x[0],scale_x[1],resolution, True)
for x in fit_x:
fit_y.append(fitted_gaussian_function.value(x))
p.addSeries(LinePlotSeries("fit"))
p.getSeries(1).setData(fit_x, fit_y)
if abs(mean - xdata[index_max]) < ((scale_x[0] + scale_x[1])/2):
print "Mean -> " + str(mean)
p.addMarker(mean, None, "Mean="+str(round(norm,2)), Color.MAGENTA.darker())
return (norm, mean, sigma)
else:
p.addMarker(max_x, None, "Max="+str(round(max_x,2)), Color.GRAY)
print "Invalid gaussian fit: " + str(mean)
return (None, None, None)
def elog(title, message, attachments = [], author = None, category = "Info", domain = "", logbook = "SwissFEL commissioning data", encoding=1):
"""
Add entry to ELOG.
"""
if author is None:
author = "pshell" #get_context().user.name
typ = "pshell"
entry = ""
cmd = 'G_CS_ELOG_add -l "' + logbook + '" '
cmd = cmd + '-a "Author=' + author + '" '
cmd = cmd + '-a "Type=' + typ + '" '
cmd = cmd + '-a "Entry=' + entry + '" '
cmd = cmd + '-a "Title=' + title + '" '
cmd = cmd + '-a "Category=' + category + '" '
cmd = cmd + '-a "Domain=' + domain + '" '
for attachment in attachments:
cmd = cmd + '-f "' + attachment + '" '
cmd = cmd + '-n ' + str(encoding)
cmd = cmd + ' "' + message + '"'
#print cmd
#os.system (cmd)
#print os.popen(cmd).read()
import subprocess
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True)
(out, err) = proc.communicate()
if (err is not None) and err!="":
raise Exception(err)
print out
def bsget(channel):
"""
"""
st = Stream(None, dispatcher)
try:
st.addScalar(channel, channel, 10, 0)
st.initialize()
st.start();
st.waitValueNot(None, 5000)
return st.getValue(channel)
finally:
st.close()
#Machine utilities
def is_timing_ok():
return caget("SIN-TIMAST-TMA:SOS-COUNT-CHECK") == 0
def get_repetition_rate():
return caget("SIN-TIMAST-TMA:Evt-15-Freq-I")