log analysis Werzeug aus Deutschland Dr
2024-06-04 22:29:24
# -*- coding: utf-8 -*-"""
#############################
数据分析工具，用来学习研究用
2013.6#############################
"""from operator import itemgetter
import wx, os ,re, time, sys,itertools
from wx.lib.masked import TimeCtrl
import logging
from lxml import etree
import numpy
import dateutil
from scipy.interpolate import interp2d
from numpy.core.fromnumeric import mean
import pylab
from pylab import *
import copy
import datetime
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.ticker as ticker
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
from matplotlib.dates import MONDAY, SATURDAY
from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import MonthLocator, WeekdayLocator, DateFormatter
from matplotlib.font_manager import FontProperties
from matplotlib.backends.backend_pdf import PdfPages, FigureCanvasPdf
from mpl_toolkits.mplot3d import Axes3D
import cStringIO
from PIL import Image
import fnmatch
import glob
import zipfile
import operator
import socket
import smtplib
from _bisect import bisect_left, bisect_right
try:import sympyfrom sympy.matrices import Matrix
except:print "sympy not found!"
import bisect
import difflib
import codecs
import matplotlib.ticker as mticker#------------------------------------------
# global variables
IcConsMode = 1 #determines if a debug information is printed
EAversion='20151019'
pdf_vector_graphics=False #if False BMP image in pdf, better for printing, if there are a lot of events
EA_IC=''
ax_tc_mode=0
bottomlinestr=u' - FOR INTERNAL USAGE ONLY -\n \xa9 Siemens Healthcare GmbH (2015) - Dr. O.Baruth HC IM AX R&D IC SP - No responsibility is taken for the correctness of the results - \nv.'
send_mail=False # sends a mail if EA runs on server and and error occurs
senderAddress = 'oliver.baruth@siemens.com'
recipientAddress = 'oliver.baruth@siemens.com'
#------------------------------------------ def pydate2wxdate(date):assert isinstance(date, (datetime.datetime, datetime.date))tt = date.timetuple()dmy = (tt[2], tt[1]-1, tt[0])return wx.DateTimeFromDMY(*dmy)def wxdate2pydate(date):assert isinstance(date, wx.DateTime)if date.IsValid():ymd = map(int, date.FormatISODate().split('-'))return datetime.date(*ymd)else:return None #---- return the string with Umlaut replaced
def replaceUmlaut(myString):if isinstance(myString,(float)): #do not touch floatsresult = myStringelif isinstance(myString,(unicode)): # if it is already unicode, just replace the 'funny' charactersmyString = re.sub("°", " (degr) ", myString)myString = re.sub("\xb5", "_", myString)myString = re.sub("%", " perc", myString)result = unicodedata.normalize('NFKD', myString).encode('ascii','ignore')else:myString = re.sub("°", " (degr) ", myString)myString = re.sub("\xb5", "_", myString)myString = re.sub("%", " perc", myString)try:myString=myString.decode('utf-8')except:myString=unicode(myString,'latin1')#myString=myString.decode('utf-8')result=myString#result = unicode(myString,'latin1') # if it is no unicode (data from life DB may be) convert, then replace#result = unicodedata.normalize('NFKD', result).encode('ascii', 'ignore') return resultdef get_midpoint(a,v,b,w):#P=a+l*v#Q=b+k*w#(P-Q)*v==0 !#(P-Q)*w==0 !#v*v=1#w*w=1av=np.dot(a,v.T)bv=np.dot(b,v.T)wv=np.dot(w,v.T) #=vwaw=np.dot(a,w.T)bw=np.dot(b,w.T)#av+k-bv-l*wv==0 -> k=l*wv+bv-av#aw+k*wv-bw-l==0 -> k=(l+bw-aw)/wv#l*wv^2+bv*wv-av*wv-l-bw+aw=0#l(wv^2-1)=(av-bv)*wv+bw-aw if wv!=1:l=((av-bv)*wv+bw-aw)/(wv*wv-1)k=l*wv+bv-avP=a+l*vQ=b+k*wmindpoint=(P+Q)/2.else: #vectors parallelmindpoint=(a+b)/2.return mindpoint
#------------------------------------------def calc_midpoints_from_sample(vdata):N=len(vdata)M=min(1000,N)MP=np.zeros((M,3))for i in range(M):perm=np.random.permutation(arange(N))n=perm[0]m=perm[1]MP[i]=get_midpoint(vdata[n][0],vdata[n][1],vdata[m][0],vdata[m][1])return MP
#-----------------------------------------def _ncycle(iterable,n):"""Method to create a generator from an iterable. It keeps thecurrent position of the iterable in memory. Each time thenext() method for the iterable is called, it will return thenext item. If there are no more items, it will cycle to thefirst item."""for item in itertools.cycle(iterable):yield itemcolors = _ncycle(('r','g','b','c','y','m','k'),1)
markers = _ncycle(('o','s','v','x','^','d','h','+','*','p','8','D'),1)#------------------------------------------
class XEvent(): def __init__(self):self.range=100000#System specific data (read from system.caf.txt)self.SN=0self.tubetype=0self.tubetype_str='n a'self.numFoken=0self.FDtype=''self.SIDfactor=0self.IR=0 #interventional reference pointself.plane='A'self.SystemType=''self.SystemShape=''self.fr=[60,30,15,10,7.5,6,5,3.75,3,1.87,1,0.5,0.1] #Frequency in [Hz], 0.1=Einzelschussself.SW=[] #Software Version (String)self.numEvents=0self.PUN_SW='n a'self.country='n a'self.city='n a'self.syngo_system_type='n a'self.FD_A_name='n a'self.FD_B_name='n a'self.pat_time=[] #duration of intervention in [min], number of entries=number of patientsself.pat_out_time=[]self.pat_in_time=[]self.pat_idx=[] #number of start event of each study + last event+1 #X-ray event specific dataself.date=numpy.zeros(self.range) #Time of xray eventself.index=numpy.zeros(self.range) #internal numberself.current=numpy.zeros(self.range) #mean current of scene in [mA]self.voltage=numpy.zeros(self.range) #mean voltage of scene in [kV]self.time=numpy.zeros(self.range) #mean pulsetime of scene in [ms]self.mAs=numpy.zeros(self.range) #mAs aus 391 self.filt=numpy.zeros(self.range) #Cu filter in [0.1 mm Cu]self.SID=numpy.zeros(self.range) #SID at scene end??? in [cm]self.was=numpy.zeros(self.range) #mean water value in [mm H2O]self.frames=numpy.zeros(self.range) #number of frames in sceneself.frequency=numpy.zeros(self.range) #pulse rate in [1/s]self.system_dose=numpy.zeros(self.range) #mean system doseself.SysDose_with_ZDF=numpy.zeros(self.range) #physical system doseself.focus=numpy.zeros(self.range)self.mode=numpy.zeros(self.range)self.zoom=numpy.zeros(self.range)self.cran=numpy.zeros(self.range)self.rao=numpy.zeros(self.range)self.cran_a=numpy.zeros(self.range)self.rao_a=numpy.zeros(self.range)self.sid_a=numpy.zeros(self.range)self.scu_base_rot =numpy.zeros(self.range) self.alpha_orb =numpy.zeros(self.range) #tube axis rotself.alpha_xray =numpy.zeros(self.range) self.gamma =numpy.zeros(self.range) #Vergroesserungsfaktorself.scu_carm_rot =numpy.zeros(self.range)self.scu_carm_orb =numpy.zeros(self.range)self.scu_table_rot =numpy.zeros(self.range)self.scu_table_tilt =numpy.zeros(self.range)self.scu_table_cradle =numpy.zeros(self.range)self.cran_b=numpy.zeros(self.range)self.rao_b=numpy.zeros(self.range)self.sid_b=numpy.zeros(self.range)self.scu_date_a=numpy.zeros(self.range)self.scu_date_b=numpy.zeros(self.range)self.scu_T1=numpy.zeros(self.range) #Table Posself.scu_T2=numpy.zeros(self.range) #Table Posself.scu_T3=numpy.zeros(self.range) #Table Posself.table_height=numpy.zeros(self.range) #zero position (iso centrum) 106cm over floor for all systypes except (ROS and MP) - EAS? self.SOD=numpy.zeros(self.range)self.HU=numpy.zeros(self.range)self.prevHU=numpy.zeros(self.range)self.FDmode=[]self.Bsig=numpy.zeros(self.range)self.Mfield=numpy.zeros(self.range)self.DAP=numpy.zeros(self.range)self.skindoserate=numpy.zeros(self.range)self.skindose=numpy.zeros(self.range)self.dose_per_mAs=numpy.zeros(self.range)self.area=numpy.zeros(self.range)self.maxarea=numpy.zeros(self.range)self.scenelength=numpy.zeros(self.range)self.dutycycle=numpy.zeros(self.range)self.study=numpy.zeros(self.range)self.offset=numpy.zeros(self.range)self.wPawMode=numpy.zeros(self.range)self.biplane=numpy.zeros(self.range) #0 mono, 1=biplane Master A, 2=Biplane Master Bself.BE_F1=numpy.zeros(self.range)self.BE_F2=numpy.zeros(self.range)self.BE_FG=numpy.zeros(self.range)self.BE_total=numpy.zeros(self.range)self.pat_number=numpy.zeros(self.range) #patient numberself._10Rlimit=numpy.zeros(self.range) #10R Grenze, 34cm vor FD, nur für Fluoroself.OGP=[] #used OGPself._3Dmode=[]self.p1=numpy.zeros(self.range) #program number (from SYC 0056 set program)self.p2=numpy.zeros(self.range) #program number (from SYC 0056 set program)self.gridpulse=numpy.zeros(self.range) # if gridpulse is used (VD 10, Gigalix)self.alt_acq=numpy.zeros(self.range) self.arc_0x001A=numpy.zeros(self.range)self.arc_0x001B=numpy.zeros(self.range)self.arc_0x001C=numpy.zeros(self.range)self.arc_0x001D=numpy.zeros(self.range)self.arc_0x001E=numpy.zeros(self.range)self.arc_0x0018=numpy.zeros(self.range)self.arc_0x000A=numpy.zeros(self.range)self.arc_0x000B=numpy.zeros(self.range)self.arc_0x000C=numpy.zeros(self.range)self.arc_0x0008=numpy.zeros(self.range)self.arc_0x0007=numpy.zeros(self.range)self.arc_0x0006=numpy.zeros(self.range)self.arc_0x0005=numpy.zeros(self.range)self.arc_0x0004=numpy.zeros(self.range)self.arc_0x0003=numpy.zeros(self.range)self.arc_0x0002=numpy.zeros(self.range)self.arc_0x0001=numpy.zeros(self.range)self.arc_0x0000=numpy.zeros(self.range)self.arc_other=numpy.zeros(self.range)self.arc_0x001A_frame= []self.arc_0x001B_frame= []self.arc_0x001C_frame= []self.arc_0x001D_frame= []self.arc_0x001E_frame= []self.arc_0x0018_frame= []self.arc_0x000A_frame= []self.arc_0x000B_frame= []self.arc_0x000C_frame= []self.arc_0x0008_frame= []self.arc_0x0007_frame= []self.arc_0x0006_frame= []self.arc_0x0005_frame= []self.arc_0x0004_frame= []self.arc_0x0003_frame= []self.arc_0x0002_frame= []self.arc_0x0001_frame= []self.arc_0x0000_frame= []self.arc_other_frame= []self.grid_0x000A=numpy.zeros(self.range)self.grid_0x0009=numpy.zeros(self.range)self.grid_0x0008=numpy.zeros(self.range)self.grid_0x0007=numpy.zeros(self.range)self.grid_0x0006=numpy.zeros(self.range)self.grid_0x0005=numpy.zeros(self.range)self.grid_0x0004=numpy.zeros(self.range)self.grid_0x0003=numpy.zeros(self.range)self.grid_0x0002=numpy.zeros(self.range)self.grid_0x0001=numpy.zeros(self.range)self.grid_0x0000=numpy.zeros(self.range)self.grid_other=numpy.zeros(self.range)self.grid_0x000A_frame= []self.grid_0x0009_frame= []self.grid_0x0008_frame= []self.grid_0x0007_frame= []self.grid_0x0006_frame= []self.grid_0x0005_frame= []self.grid_0x0004_frame= []self.grid_0x0003_frame= []self.grid_0x0002_frame= []self.grid_0x0001_frame= []self.grid_0x0000_frame= []self.grid_other_frame= []self.soll_kV =[]self.soll_ms =[]self.soll_mA= []self.soll_WW= []self.soll_Szenenlaenge = []self.ist_Szenenlaenge = []self.soll_fd_dosis = []self.maxPower_Sollzeit =[]self.maxPower_Istzeit =[]self.maxCurrentRev_punchthrough=numpy.zeros(self.range)self.maxCurrentPrev =[]self.maxCurrentRev =[]self.maxPowerdyn=[]self.heating_current=numpy.zeros(self.range)self.emitter_temp=numpy.zeros(self.range)self.tungst_evaporation_rate=numpy.zeros(self.range)self.tungst_thickness=numpy.zeros(self.range)self.tube_focal_spot_pos_table=[]self.pat_skindose=[]self.pat_dap=[]self.axis_mode=[]self.resolution=[]# end of class XEventdef get_tube_rot(cran,rao,gantry): #Funktion wird nicht benutzt, nur zu Testzwecken und Erklaerung #der Strahlerroationsvektor ergbit sich aus R2*[1,0,0].T= longitudinaler Einbau #der Strahlerneigungsvektor alpha_orb der berechnet wird, ergibt sich auscarm_rot=0 #zaehlt entgegen des Uhrzeigersinns den Winkel positivcarm_orb=90 #zaehlt entgegen des Uhrzeigersinns den Winkel positivgantry=90carm_rot_b=0 #zaehlt entgegen des Uhrzeigersinns den Winkel positivcarm_orb_b=-90 #zaehlt entgegen des Uhrzeigersinns den Winkel positivgantry_rad=gantry*np.pi/180.carm_rot_rad=carm_rot*np.pi/180.carm_orb_rad=carm_orb*np.pi/180.carm_rot_b_rad=carm_rot_b*np.pi/180.carm_orb_b_rad=carm_orb_b*np.pi/180.#Achsendefinition:#x-Achse: Richtung Tisch (Tisch in 0,0,0 Position, aber nicht relativ zum Tisch); Kopfende Richtung Fussende#y-Achse: senkrecht zur x-Achse in Ebene parallel zum Boden; von rechts nach links wenn man auf dem Tisch liegt#z-Achse: senkrecht zu den beiden anderen Achsen, nach oben zeigend#----------------------#Plane A#rotation around z-axis (B aus SCU 221), aber nicht benoetigtR_gantry=np.matrix([[np.cos(gantry_rad),-np.sin(gantry_rad), 0],[np.sin(gantry_rad), np.cos(gantry_rad), 0],[0 ,0 , 1]]) #rotation around x-axis (C-arm_rot, aus scu 221) R_outer=np.matrix([[1 ,0 ,0 ],[0 ,np.cos(carm_rot_rad) ,np.sin(carm_rot_rad)],[0 ,-np.sin(carm_rot_rad) ,np.cos(carm_rot_rad)]]) #rotation around y-axis (C-arm orb, aus scu 221)R_inner=np.matrix([[np.cos(carm_orb_rad) ,0 ,np.sin(carm_orb_rad)],[0 ,1 ,0 ],[-np.sin(carm_orb_rad) ,0 ,np.cos(carm_orb_rad)]]) #R_2= R_outer*R_innerR_2=np.matrix([[np.cos(carm_orb_rad) , 0 ,np.sin(carm_orb_rad) ],[-np.sin(carm_orb_rad)*np.sin(carm_rot_rad) , np.cos(carm_rot_rad) ,np.cos(carm_orb_rad)*np.sin(carm_rot_rad) ],[-np.sin(carm_orb_rad)*np.cos(carm_rot_rad) ,-np.sin(carm_rot_rad) ,np.cos(carm_orb_rad)*np.cos(carm_rot_rad) ]]) #tube_xray_rot=R_2*[0,0,1].T #Strahlungsvektortube_xray_rot=np.matrix([[ np.sin(carm_orb_rad) ],[ np.cos(carm_orb_rad)*np.sin(carm_rot_rad)],[ np.cos(carm_orb_rad)*np.cos(carm_rot_rad)]]) #tube_xray_rot_full=R_gantry*tube_xray_rottube_xray_rot_full=np.matrix([[sin(carm_orb_rad)*cos(gantry_rad) + sin(carm_rot_rad)*sin(gantry_rad)*cos(carm_orb_rad)],[sin(carm_orb_rad)*sin(gantry) + sin(carm_rot_rad)*cos(carm_orb_rad)*cos(gantry_rad) ],[cos(carm_orb_rad)*cos(carm_rot_rad) ]])xray_vec_z= np.cos(carm_orb_rad)*np.cos(carm_rot_rad)#tube_axis_rot=R_2*[1,0,0].T #Anodenachsendrehvektortube_axis_rot=np.matrix([[ np.cos(carm_orb_rad) ],[ -np.sin(carm_orb_rad)*np.sin(carm_rot_rad) ],[ -np.sin(carm_orb_rad)*np.cos(carm_rot_rad) ]]) #----------------------#Plane B:#rotation around z-axis (C-arm_rot, aus scu 222) R_outer_B=np.matrix([[np.cos(carm_rot_b_rad),-np.sin(carm_rot_b_rad), 0],[np.sin(carm_rot_b_rad), np.cos(carm_rot_b_rad), 0],[0 ,0 , 1]])#rotation around x-axis (C-arm orb, aus scu 222)R_inner_B=np.matrix([[1 ,0 ,0 ],[0 ,np.cos(carm_orb_b_rad) ,-np.sin(carm_orb_b_rad)],[0 ,np.sin(carm_orb_b_rad) ,np.cos(carm_orb_b_rad)]]) #R_2_B= R_outer_B*R_inner_BR_2_B=np.matrix([[np.cos(carm_rot_b_rad),-np.sin(carm_rot_b_rad)*np.cos(carm_orb_b_rad) ,-np.sin(carm_orb_rad)*np.sin(carm_rot_rad) ],[np.sin(carm_rot_b_rad), np.cos(carm_rot_b_rad)*np.cos(carm_orb_b_rad) ,-np.cos(carm_rot_b_rad)*np.sin(carm_orb_b_rad) ],[0 , np.sin(carm_orb_b_rad) , np.cos(carm_orb_b_rad) ]]) #tube_axis_rot_B=R_2_B*[0,1,0].T #Anodenachsendrehvektortube_axis_rot_B=np.matrix([[ np.sin(carm_rot_b_rad)*np.cos(carm_orb_b_rad) ],[-np.cos(carm_rot_b_rad)*np.cos(carm_orb_b_rad) ],[-np.sin(carm_orb_b_rad) ]]) xray_vec_z_B=np.sin(carm_orb_b_rad) #tube_xray_rot_B=R_2_B*[0,0,1].T #Strahlungsvektortube_xray_rot_B=np.matrix([[ -np.sin(carm_orb_rad)*np.sin(carm_rot_rad) ],[ -np.cos(carm_rot_b_rad)*np.sin(carm_orb_b_rad) ],[ np.cos(carm_orb_b_rad) ]]) #Neigungsvektor Strahlerachse: z Komponente ist sinus des Neigungswinkelsalpha_orb_rad=np.arcsin(-np.sin(carm_orb_rad)*np.cos(carm_rot_rad))alpha_orb_rad_b=np.arcsin(np.sin(carm_orb_b_rad)) #=-carm_orb_b_radtube_xray_init=np.array([[0,0,1]])tube_axis_init=np.array([[1,0,0]]) #Plane A longitudinal#tube_axis_init=np.array([[0,1,0]]) #Plane A transversaltube_axis_rot2=R_2*tube_axis_init.Ttube_xray_rot2=R_2*tube_xray_init.Treturn alpha_orb_rad/np.pi*180.#-----Strahlerneigungsvektor und Strahlungsrichtung fuer Roboter, alpha_orb=init=(1,0,0)=0°; alpha_xray_init=(0,0,1)=90°def get_tube_rot_robi(beta_,T1_,T2_,T3_,T4_,T5_,T6_):#z-Richtung: nach oben#y-Richtung: Richtung Tisch#x-Richtung: senkrecht auf beidenbeta,T1,T2,T3,T4,T5,T6=sympy.symbols('beta,T1,T2,T3,T4,T5,T6')Ry_6=Matrix([[cos(T6),0,-sin(T6)],[0,1,0],[sin(T6),0,cos(T6)]])Rx_5=Matrix([[1,0,0],[0,cos(T5),-sin(T5)],[0,sin(T5),cos(T5)]])Ry_4=Matrix([[cos(T4),0,-sin(T4)],[0,1,0],[sin(T4),0,cos(T4)]])Rx_3=Matrix([[1,0,0],[0,cos(T3),-sin(T3)],[0,sin(T3),cos(T3)]])Rx_2=Matrix([[1,0,0],[0,cos(T2),-sin(T2)],[0,sin(T2),cos(T2)]])Rz_1=Matrix([[cos(T1), sin(T1),0],[sin(T1),cos(T1),0],[0,0,1]])Ry_beta=Matrix([[cos(beta),0,-sin(beta)],[0,1,0],[sin(beta),0,cos(beta)]])R_rot=Rz_1*Rx_2*Rx_3*Ry_4*Rx_5*Ry_6*Ry_betaz=Matrix([[0],[0],[1]]) #Xray Richtung, unrotiert y=Matrix([[0],[1],[0]]) #Strahlerachsenrichtung, unrotiertz_rot=R_rot*zy_rot=R_rot*yalpha_orb_grad=180./pi*sympy.asin(y_rot[2].subs({beta:beta_,T1:T1_,T2:T2_,T3:T3_,T4:T4_,T5:T5_,T6:T6_}))alpha_xray_grad=180./pi*sympy.asin(z_rot[2].subs({beta:beta_,T1:T1_,T2:T2_,T3:T3_,T4:T4_,T5:T5_,T6:T6_}))"""alpha_orb_grad=180./np.pi*np.arcsin((-np.sin(T2_)*np.sin(T3_) + np.cos(T2_)*np.cos(T3_))*np.sin(T5_)*np.cos(T4_) + (np.sin(T2_)*np.cos(T3_) + np.sin(T3_)*np.cos(T2_))*np.cos(T5_))alpha_xray_grad=180./np.pi*np.arcsin((-(-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.sin(T4)*np.sin(T6) + ((-np.sin(T2)*np.sin\(T3) + np.cos(T2)*np.cos(T3))*np.cos(T4)*np.cos(T5) - (np.sin(T2)*np.cos(T3) + np.sin(T3)*np.cos(T2))*sin\(T5))*np.cos(T6))*np.cos(beta) - ((-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.sin(T4)*np.cos(T6\) + ((-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.cos(T4)*np.cos(T5) - (np.sin(T2)*np.cos(T3) + sin\(T3)*np.cos(T2))*np.sin(T5))*np.sin(T6))*np.sin(beta))"""return (alpha_orb_grad.evalf(),alpha_xray_grad.evalf())###########################################################################
class TabPanel_StandardView(wx.Panel): #0"""This will be the first notebook tab"""#----------------------------------------------------------------------def __init__(self, parent,prev):self.prev=prevself.os_type=sys.platformwx.Panel.__init__(self, parent=parent, id=wx.ID_ANY)sizer = wx.FlexGridSizer(rows=3, cols=3 ,vgap=1, hgap=1)self.label_1 = wx.StaticText(self, -1, " Source folder: ")self.label_1.SetToolTip(wx.ToolTip("Choose a directory which contains your eventlogs and the system.caf-file."))self.label_2 = wx.StaticText(self, -1, " Results folder: ")self.prev.text_ctrl_1 = wx.TextCtrl(self, -1, self.prev.sourceDir,size=(350,28),style=wx.TE_PROCESS_ENTER) #self.prev .sourceDirself.Bind(wx.EVT_TEXT_ENTER, self.prev.OnEditSourceDir, self.prev.text_ctrl_1)self.Bind(wx.EVT_TEXT, self.prev.OnChangeSourceDir, self.prev.text_ctrl_1)self.bitmap_button_1= wx.Button(self,id=-1,label="Browse",size=wx.DefaultSize) self.Bind(wx.EVT_BUTTON, self.prev.OnOpenSourceDir, self.bitmap_button_1)self.prev.text_ctrl_2 = wx.TextCtrl(self, -1, self.prev.resultsDir,size=(350,28),style=wx.TE_PROCESS_ENTER) #self.resultsDirself.Bind(wx.EVT_TEXT_ENTER, self.prev.OnEditResultsDir, self.prev.text_ctrl_2)self.Bind(wx.EVT_TEXT, self.prev.OnChangeResultsDir, self.prev.text_ctrl_2)self.bitmap_button_2= wx.Button(self,id=-1,label="Browse",size=wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.prev.OnOpenResultsDir, self.bitmap_button_2)self.prev.RB_plane=wx.RadioBox(self, -1, "Plane", (20, 250), wx.DefaultSize,['A','B', 'both'], 3, wx.RA_SPECIFY_ROWS)self.prev.RB_plane.SetToolTip(wx.ToolTip("Choose a plane"))self.prev.earliest = wx.TextCtrl(self, -1, '',size=(350,80),style= wx.TE_MULTILINE )self.prev.earliest.Disable()self.prev.earliest.SetToolTip(wx.ToolTip("Earliest eventlog in source directory"))#self.prev.latest = wx.TextCtrl(self, -1, '',size=(250,28))#self.prev.latest.SetToolTip(wx.ToolTip("Latest eventlog in source directory"))#TubeInfo-Buttonself.prev.pBgetTubeInfo=wx.Button(self, -1, "Tube Info", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.prev.OnTubeInfo, self.prev.pBgetTubeInfo)sizer.Add(self.label_1, 0, wx.ALL, 5)sizer.Add(self.prev.text_ctrl_1, 0, wx.ALL, 5)sizer.Add(self.bitmap_button_1, 0, wx.ALL, 5)sizer.Add(self.label_2, 0, wx.ALL, 5)sizer.Add(self.prev.text_ctrl_2, 0, wx.ALL, 5)sizer.Add(self.bitmap_button_2, 0, wx.ALL, 5)sizer.Add(self.prev.RB_plane,1, wx.ALL, 5)sizer.Add(self.prev.earliest,1, wx.ALL, 5)sizer.Add(self.prev.pBgetTubeInfo,1, wx.ALL, 5)self.SetSizer(sizer)###########################################################################
class TabPanel_TubeTypeView(wx.Panel):"""This will be the first notebook tab"""#----------------------------------------------------------------------def __init__(self, parent, prev):""""""wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY)sizer = wx.GridSizer(rows=2, cols=2 ,vgap=10, hgap=10)self.cat2F = wx.CheckBox(self, -1, label='Megalix Cat+ 2F',size= wx.DefaultSize) self.cat3F = wx.CheckBox(self, -1, label='Megalix Cat+ 3F', size= wx.DefaultSize) self.giga2F = wx.CheckBox(self, -1, label='Gigalix 2F', size= wx.DefaultSize)self.giga3F = wx.CheckBox(self, -1, label='Gigalix 3F', size= wx.DefaultSize)sizer.Add(self.cat2F, 0, wx.ALL, 5)sizer.Add(self.cat3F, 0, wx.ALL, 5)sizer.Add(self.giga2F, 0, wx.ALL, 5)sizer.Add(self.giga3F, 0, wx.ALL, 5)self.SetSizer(sizer)
###########################################################################
class TabPanel_SW_View(wx.Panel): #1"""This will be the first notebook tab"""#----------------------------------------------------------------------def __init__(self, parent,prev):""""""wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY)sizer = wx.GridSizer(rows=2, cols=2 ,vgap=10, hgap=10)self.Artis_VC14 = wx.CheckBox(self, -1, label='Artis VC14',size= wx.DefaultSize) self.Artis_VC21 = wx.CheckBox(self, -1, label='Artis VC21', size= wx.DefaultSize) self.Artis_VD10 = wx.CheckBox(self, -1, label='Artis VD10+', size= wx.DefaultSize)self.EAS_VA10 = wx.CheckBox(self, -1, label='EAS VA10+', size= wx.DefaultSize)sizer.Add(self.Artis_VC14, 0, wx.ALL, 5)sizer.Add(self.Artis_VC21, 0, wx.ALL, 5)sizer.Add(self.Artis_VD10, 0, wx.ALL, 5)sizer.Add(self.EAS_VA10, 0, wx.ALL, 5)self.SetSizer(sizer)###########################################################################
class TabPanel_SN_View(wx.Panel):"""This will be the first notebook tab"""#----------------------------------------------------------------------def __init__(self, parent,prev):self.prev=prevself.prev.SNs=[]wx.Panel.__init__(self, parent=parent, id=wx.ID_ANY)sizer = wx.FlexGridSizer(rows=3, cols=3 ,vgap=1, hgap=1)self.label_3 = wx.StaticText(self, -1, " Results folder: ")self.prev.text_ctrl_3 = wx.TextCtrl(self, -1, self.prev.resultsDir,size=(370,28),style=wx.TE_PROCESS_ENTER) #self.resultsDirself.Bind(wx.EVT_TEXT_ENTER, self.OnEditResultsDir, self.prev.text_ctrl_3)self.Bind(wx.EVT_TEXT, self.OnChangeResultsDir, self.prev.text_ctrl_3)self.bitmap_button_2= wx.Button(self,id=-1,label="Browse",size=wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnOpenResultsDir, self.bitmap_button_2)self.prev.RB_plane2=wx.RadioBox(self, -1, "Plane", (20, 250), wx.DefaultSize,['A','B','both'], 3, wx.RA_SPECIFY_ROWS)self.prev.RB_plane2.SetToolTip(wx.ToolTip("Choose plane"))self.SNlist = wx.TextCtrl(self, -1, '',size=(370,90),style= wx.TE_MULTILINE|wx.TE_PROCESS_ENTER )self.SNlist.SetToolTip(wx.ToolTip("Add system serials (comma-seperated; wildcards 121*** allowed)"))self.Bind(wx.EVT_TEXT, self.OnSNListEdit, self.SNlist)self.Bind(wx.EVT_TEXT_ENTER, self.OnSNListEnter, self.SNlist)#Check-Buttonself.pBcheck = wx.Button(self, -1, "Check", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnCheckSNList, self.pBcheck)self.pBcheck.SetToolTip(wx.ToolTip("Check SN List"))#System Info-Buttonself.pBSysInfo = wx.Button(self, -1, "System Info", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnSysInfo, self.pBSysInfo)self.pBSysInfo.SetToolTip(wx.ToolTip("Information about System Type, City, Country,..."))#TubeInfo-Buttonself.prev.pBgetTubeInfo2=wx.Button(self, -1, "Tube Info", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.prev.OnTubeInfo, self.prev.pBgetTubeInfo2)#SW-Info-Buttonself.pBgetSWInfo=wx.Button(self, -1, "SW Info", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnSWInfo, self.pBgetSWInfo)#GetLogDates-Info-Buttonself.pBgetLogDates=wx.Button(self, -1, "Get Log Dates", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnGetLogDates, self.pBgetLogDates)sizer1 = wx.GridSizer(rows=5, cols=1 ,vgap=1, hgap=1)sizer1.Add(self.pBcheck,1, wx.ALL, 2)sizer1.Add(self.pBSysInfo,1, wx.ALL, 2)sizer1.Add(self.prev.pBgetTubeInfo2,1, wx.ALL, 2)sizer1.Add(self.pBgetSWInfo,1, wx.ALL, 2)sizer1.Add(self.pBgetLogDates,1, wx.ALL, 2)sizer.Add(self.label_3, 0, wx.ALL, 5)sizer.Add(self.prev.text_ctrl_3, 0, wx.ALL, 5)sizer.Add(self.bitmap_button_2, 0, wx.ALL, 5)sizer.Add(self.prev.RB_plane2,1, wx.ALL, 5)sizer.Add(self.SNlist,1, wx.ALL, 5)sizer.Add(sizer1,1, wx.ALL, 5)self.SetSizer(sizer)def OnSNListEdit(self,event):self.SNlist.SetBackgroundColour('red')self.SNlist.Refresh()def OnSysInfo(self,event):SysInsostr=''self.prev.myXEvent=XEvent()self.prev.plane='A'self.OnCheckSNList(0)if len(self.prev.SNs)==1:singleSN=self.prev.SNs[0]if (singleSN).isdigit():self.prev.onScan()if singleSN in self.prev.serialList.keys():SW_path = self.prev.serialList[singleSN][-1]zfile_list=glob.glob(os.path.join(SW_path,'XA*LogFiles.zip'))zfile_list=sorted(zfile_list)zfile=zfile_list[-1]zf=zipfile.ZipFile(zfile) filelist=zf.namelist()if not IcConsMode:print "reading "+zfilefor filename in filelist:#XA123007_2014_01_14_axiom.caf.txtif filename.find('XA')>-1 and filename.find('_system.caf.txt')>-1: fp = zf.open(filename)system_txt = fp.readlines()fp.close()self.prev.process_system_caf(system_txt)SysInsostr+='System Type: '+self.prev.myXEvent.SystemType+'\n'SysInsostr+='System Shape: '+self.prev.myXEvent.SystemShape+'\n'SysInsostr+='FD Type plane A: '+self.prev.myXEvent.FD_A_name+'\n'SysInsostr+='FD Type plane B: '+self.prev.myXEvent.FD_B_name+'\n'if filename.find('XA')>-1 and filename.find('_axiom.caf.txt')>-1 and filename.find('IVS')>-1: fp = zf.open(filename)axiom_txt = fp.readlines()fp.close()self.prev.process_axiom_caf(axiom_txt,self.prev.GetFileDateCaf(filename))SysInsostr+='Syngo System Type: '+self.prev.myXEvent.syngo_system_type.replace('n a','n.a.')+'\n'SysInsostr+='City: '+self.prev.myXEvent.city.replace('n a','n.a.')+'\n'SysInsostr+='Country: '+self.prev.myXEvent.country.replace('n a','n.a.')+'\n'SysInsostr+='Current SW Version: '+self.prev.myXEvent.SW[-1][0]+'\n'if SysInsostr=='':wx.MessageBox('No info found\nin selected period!', 'System Info', wx.OK | wx.ICON_INFORMATION)else:wx.MessageBox(SysInsostr, 'System Info', wx.OK | wx.ICON_INFORMATION)return else:wx.MessageBox('Not available for more than one SN!', 'System Info', wx.OK | wx.ICON_INFORMATION)return wx.MessageBox('SW Info not possible!', 'System Info', wx.OK | wx.ICON_INFORMATION)return def OnSNListEnter(self,event):txt=''self.prev.SNs=[]SNdata=self.SNlist.GetValue().replace('\n',',').split(',')char_set=[str(i) for i in range(10)]char_set.append('*')for dat in SNdata:d=[c in char_set for c in dat.strip()]if sum(d)==len(d) and len(d)>4 and len(d)<7:txt+=dat.strip()+', 'self.prev.SNs.append(dat.strip())if len(txt)>0:txt=txt[:-2]self.SNlist.Clear() self.SNlist.SetValue(txt)self.SNlist.SetBackgroundColour('white')self.SNlist.Refresh()self.prev.WriteRegData()return def OnCheckSNList(self,event):txt=''self.prev.SNs=[]SNdata=self.SNlist.GetValue().replace('\n',',').split(',')char_set=[str(i) for i in range(10)]char_set.append('*')for dat in SNdata:d=[c in char_set for c in dat.strip()]if sum(d)==len(d) and len(d)>4 and len(d)<7:txt+=dat.strip()+', 'self.prev.SNs.append(dat.strip())if len(txt)>0:txt=txt[:-2]self.SNlist.Clear() self.SNlist.SetValue(txt)self.SNlist.SetBackgroundColour('white')self.SNlist.Refresh()self.prev.WriteRegData()return#------------------------------------------ def OnOpenResultsDir(self, event):dialog = wx.DirDialog(None, "Choose a directory:",self.prev.resultsDir,style=wx.DD_DEFAULT_STYLE | wx.DD_NEW_DIR_BUTTON)if dialog.ShowModal() == wx.ID_OK:self.prev.resultsDir=dialog.GetPath()self.prev.text_ctrl_3.SetValue(self.prev.resultsDir)dialog.Destroy()self.prev.WriteRegData()self.prev.text_ctrl_3.SetBackgroundColour('white')self.prev.text_ctrl_3.Refresh()#------------------------------------------ def OnEditResultsDir(self,event):temp=self.prev.text_ctrl_3.GetValue()temp.strip()old_dir=self.prev.resultsDirif(os.path.isdir(temp)):self.prev.resultsDir=tempself.prev.WriteRegData()else:self.prev.resultsDir=old_dirself.prev.text_ctrl_3.SetValue(old_dir)self.prev.text_ctrl_3.SetBackgroundColour('white')self.prev.text_ctrl_3.Refresh()#------------------------------------------ def OnChangeResultsDir(self,event):self.prev.text_ctrl_3.SetBackgroundColour('red')self.prev.text_ctrl_3.Refresh()
#------------------------------------------def OnSWInfo(self,event):SWinfostr=''SWs={}self.OnCheckSNList(0)if len(self.prev.SNs)==1:singleSN=self.prev.SNs[0]if (singleSN).isdigit():self.prev.onScan()if singleSN in self.prev.serialList.keys():for SW_path in self.prev.serialList[singleSN]:zfile_list=glob.glob(os.path.join(SW_path,'XA*LogFiles.zip'))zfile_list=sorted(zfile_list)for zfile in zfile_list:temp_SW=os.path.split(os.path.split(os.path.split(zfile)[0])[0])[1] if temp_SW not in SWs.keys():dates=[]SWs[temp_SW]=datestry: SWs[temp_SW].append(self.prev.GetZipFileDate(zfile))except:blubb=1for key in SWs.keys():SWs[key]=sorted(SWs[key])SWinfostr+=key+': First:'+ str(SWs[key][0])[:10]+' Last:'+str(SWs[key][-1])[:10]+'\n'if SWinfostr=='':wx.MessageBox('No SW data found\nin selected period!', 'SW Version Info', wx.OK | wx.ICON_INFORMATION)else:wx.MessageBox(SWinfostr, 'SW Version Info', wx.OK | wx.ICON_INFORMATION)return else:wx.MessageBox('Not available for more than one SN!', 'SW Version Info', wx.OK | wx.ICON_INFORMATION)return wx.MessageBox('SW Info not possible!', 'SW Version Info', wx.OK | wx.ICON_INFORMATION)return
#------------------------------------------def OnGetLogDates(self,event):dates=[]self.OnCheckSNList(0)if len(self.prev.SNs)==1:singleSN=self.prev.SNs[0]if (singleSN).isdigit():self.prev.onScan()if singleSN in self.prev.serialList.keys():for SW_path in self.prev.serialList[singleSN]:zfile_list=glob.glob(os.path.join(SW_path,'XA*LogFiles.zip'))zfile_list=sorted(zfile_list)for zfile in zfile_list:dates.append(self.prev.GetZipFileDate(zfile))else:wx.MessageBox('Not available for more than one SN!', 'Log Dates Info', wx.OK | wx.ICON_INFORMATION)returnif len(dates)!=0: dates=sorted(dates) temp1=wx.DateTime()temp1.Set(dates[0].day,dates[0].month-1,dates[0].year,0,0,0) self.prev.datepicker_start.SetValue(temp1) self.prev.datepicker_start.Refresh()self.prev.timepicker_start.SetValue(temp1)temp1.Set(dates[-1].day,dates[-1].month-1,dates[-1].year,23,59,59) self.prev.datepicker_end.SetValue(temp1) self.prev.datepicker_end.Refresh()self.prev.timepicker_end.SetValue(temp1)else:print "No logs found for selected SN!"wx.MessageBox('No logs found for selected SN!', 'Info', wx.OK | wx.ICON_INFORMATION)return
#------------------------------------------ ########################################################################
class NotebookDemo(wx.Notebook):"""Notebook class"""#----------------------------------------------------------------------def __init__(self, parent,prev):wx.Notebook.__init__(self, parent, id=wx.ID_ANY, style=wx.BK_DEFAULT#wx.BK_TOP #wx.BK_BOTTOM#wx.BK_LEFT#wx.BK_RIGHT)self.prev=prev# Create the first tab and add it to the notebookself.tabOne = TabPanel_StandardView(self,prev)self.AddPage(self.tabOne, "Standard")# Create and add the second tabself.tabTwo = TabPanel_SW_View(self,prev)self.AddPage(self.tabTwo, "SW Version")self.tabThree= TabPanel_TubeTypeView(self,prev)self.AddPage(self.tabThree, "Tube Type")# Create and add the second tabself.tabFour = TabPanel_SN_View(self,prev)self.AddPage(self.tabFour, "Serial Number")# Create and add the third tab#self.AddPage(TabPanel(self), "Info")self.Bind(wx.EVT_NOTEBOOK_PAGE_CHANGED, self.OnPageChanged)self.Bind(wx.EVT_NOTEBOOK_PAGE_CHANGING, self.OnPageChanging)def OnPageChanged(self, event):old = event.GetOldSelection()new = event.GetSelection()sel = self.GetSelection()self.prev.text_ctrl_3.SetValue(self.prev.resultsDir)self.prev.text_ctrl_2.SetValue(self.prev.resultsDir)self.prev.text_ctrl_3.SetBackgroundColour('white')self.prev.text_ctrl_3.Refresh()self.prev.text_ctrl_2.SetBackgroundColour('white')self.prev.text_ctrl_2.Refresh()#print 'OnPageChanged, old:%d, new:%d, sel:%d\n' % (old, new, sel)event.Skip()def OnPageChanging(self, event):old = event.GetOldSelection()new = event.GetSelection()sel = self.GetSelection()#print 'OnPageChanging, old:%d, new:%d, sel:%d\n' % (old, new, sel)event.Skip()class MyFrame(wx.Frame):global __start__datumglobal __ende__datumglobal __start__tagglobal __start__monatglobal __start__jahrglobal __ende__jahrglobal __ende__monatglobal __ende__tagglobal DAT__start__datum = []__ende__datum = [] __start__tag = []__start__monat = []__start__jahr = []__ende__tag = []__ende__monat = []__ende__jahr = []DAT = []def __init__(self, parent = None, id = -1, title = "Small Editor",params=None):wx.Frame.__init__(self, parent, id ,title, size = (600,700), style = wx.SYSTEM_MENU | wx.CLOSE_BOX |wx.CAPTION )#JN new sectionself.os_type=sys.platformif params==None:self.enable_gui=Trueelse:self.enable_gui=Falseif not IcConsMode: print paramsself.SetBackgroundColour(wx.SystemSettings_GetColour(wx.SYS_COLOUR_BTNFACE))self.sourceDir =r"I:\1_AX\03_Projects\30_PLM\42_MAT_FieldLogs_FOR\ProductFiles\Artis"self.resultsDir =r"D:\temp"self.panel = wx.Panel(self)self.notebook = NotebookDemo(self.panel,self)try:if self.os_type.find('linux')==-1:if socket.gethostname()=='FORS14AA' or socket.gethostname()=='FORS18AA' :self.sourceDirZipsArtis=r'\\fors16za\dfs03_30_44_archiv_for$\10_Artis\40_Field' # location of zipped filesself.sourceDirZipsEAS= r'\\fors16za\dfs03_30_44_archiv_for$\20_EAS\40_Field' # location of zipped files self.sourceDirZipsSCM= r'\\ww005.siemens.net\meddfsroot\1_AX\03_Projects\30_PLM\A4_QIB\10_SCM\Logfiles' else:self.sourceDirZipsArtis=r'I:\1_AX\03_Projects\30_PLM\44_MAT_Archiv_FOR\10_Artis\40_Field' # location of zipped filesself.sourceDirZipsEAS = r'I:\1_AX\03_Projects\30_PLM\44_MAT_Archiv_FOR\20_EAS\40_Field' # location of zipped files self.sourceDirZipsSCM =r'I:\1_AX\03_Projects\30_PLM\A4_QIB\10_SCM\Logfiles'self.RegistryData = wx.Config("PyTAX\EventlogAnalyzer", style=wx.CONFIG_USE_GLOBAL_FILE)self.sourceDir = self.RegistryData.Read("sourceDir")self.resultsDir = self.RegistryData.Read("resultsDir")self.notebook.tabFour.SNlist.SetValue(self.RegistryData.Read("SNlist"))self.notebook.tabFour.OnCheckSNList(0)if self.sourceDir == "":self.sourceDir = "I:\\1_AX\\03_Projects\\30_PLM\\42_MAT_FieldLogs_FOR\\ProductFiles\\Artis"if self.resultsDir == "":self.resultsDir = "D:\\temp1\\"self.text_ctrl_1.SetValue(self.sourceDir) self.text_ctrl_1.SetBackgroundColour('white')self.text_ctrl_1.Refresh()self.text_ctrl_2.SetValue(self.resultsDir)self.text_ctrl_2.SetBackgroundColour('white')self.text_ctrl_2.Refresh()else:self.sourceDirZipsArtis=r"/media/olli/FREECOM HDD/10_Artis/40_Field"direfilename=os.path.join(os.path.expanduser('~'),'.ea_dirs.dat')dirfile=open(direfilename,'r')dir_lines=dirfile.readlines()self.sourceDir = os.path.normpath(dir_lines[0]).rstrip('\n')self.resultsDir = os.path.normpath(dir_lines[1]).rstrip('\n')SNtxt=''for i in range(2,len(dir_lines)):SNtxt+=dir_lines[i]self.notebook.tabFour.SNlist.SetValue(SNtxt)self.notebook.tabFour.OnCheckSNList(0)self.text_ctrl_1.SetValue(self.sourceDir) self.text_ctrl_1.SetBackgroundColour('white')self.text_ctrl_1.Refresh()self.text_ctrl_2.SetValue(self.resultsDir)self.text_ctrl_2.SetBackgroundColour('white')self.text_ctrl_2.Refresh()dirfile.close()except:print "Error reading Windows Registry" vsizer2=wx.FlexGridSizer(rows=11, cols=1,vgap=0, hgap=0)gvsizer0 = wx.GridSizer(rows=10, cols=1,vgap=0, hgap=0)gvsizer1 = wx.GridSizer(rows=12, cols=1,vgap=0, hgap=0)gvsizer2 = wx.GridSizer(rows=12, cols=1,vgap=0, hgap=0)gvsizer3 = wx.GridSizer(rows=13, cols=1,vgap=0, hgap=0)ghsizer0 = wx.FlexGridSizer(rows=2, cols=3 ,vgap=5, hgap=5)ghsizer1 = wx.GridSizer(rows=1, cols=4 ,vgap=0, hgap=0)ghsizer2 = wx.GridSizer(rows=1, cols=3 ,vgap=0, hgap=0)ghsizer3 = wx.FlexGridSizer(rows=2, cols=3 ,vgap=0, hgap=0)self.cb0 = wx.CheckBox(self.panel, -1, label='All parts',size= wx.DefaultSize) self.cb1 = wx.CheckBox(self.panel, -1, label='Part 1', size= wx.DefaultSize) self.cb2 = wx.CheckBox(self.panel, -1, label='Part 2', size= wx.DefaultSize)self.cb3 = wx.CheckBox(self.panel, -1, label='Angulations', size= wx.DefaultSize)self.cb4 = wx.CheckBox(self.panel, -1, label='Part 4', size= wx.DefaultSize)self.cb5 = wx.CheckBox(self.panel, -1, label='Part 5', size= wx.DefaultSize)self.cb6 = wx.CheckBox(self.panel, -1, label='Part 6', size= wx.DefaultSize)self.cb7 = wx.CheckBox(self.panel, -1, label='Part 7', size= wx.DefaultSize)self.cb8 = wx.CheckBox(self.panel, -1, label='Dose Eff.', size= wx.DefaultSize)self.cb9 = wx.CheckBox(self.panel, -1, label='Dyn. Offset ', size= wx.DefaultSize)self.cb10 = wx.CheckBox(self.panel, -1, label='Part 10', size= wx.DefaultSize)self.cb11 = wx.CheckBox(self.panel, -1, label='Part 11', size= wx.DefaultSize)self.cb12 = wx.CheckBox(self.panel, -1, label='Part 12', size= wx.DefaultSize)self.cb13 = wx.CheckBox(self.panel, -1, label='FG Analysis ', size= wx.DefaultSize)self.cb14 = wx.CheckBox(self.panel, -1, label='Part 14', size= wx.DefaultSize)self.cb15 = wx.CheckBox(self.panel, -1, label='Part 15', size= wx.DefaultSize)self.cb16 = wx.CheckBox(self.panel, -1, label='Part 16', size= wx.DefaultSize)self.cb17 = wx.CheckBox(self.panel, -1, label='Part 17', size= wx.DefaultSize)self.cb18 = wx.CheckBox(self.panel, -1, label='Part 18 (Arcing)', size= wx.DefaultSize)self.cb19 = wx.CheckBox(self.panel, -1, label='Part 19', size= wx.DefaultSize)self.cb20 = wx.CheckBox(self.panel, -1, label='Part 20', size= wx.DefaultSize)self.cb21 = wx.CheckBox(self.panel, -1, label='Part 21', size= wx.DefaultSize)self.cb22 = wx.CheckBox(self.panel, -1, label='Part 22', size= wx.DefaultSize)self.cb23 = wx.CheckBox(self.panel, -1, label='IC Cons', size= wx.DefaultSize)self.cb24 = wx.CheckBox(self.panel, -1, label='Averaged Power', size= wx.DefaultSize)self.cb_enh_env = wx.CheckBox(self.panel, -1, label='enhanced EnvLog', size= wx.DefaultSize)self.cb_png = wx.CheckBox(self.panel, -1, label='png out', size= wx.DefaultSize)self.cb_CSVstyle = wx.CheckBox(self.panel, -1, label='csv Style', size= wx.DefaultSize)self.cb_negWV = wx.CheckBox(self.panel, -1, label='neg. WV ', size= wx.DefaultSize)self.cb_EnvLog = wx.CheckBox(self.panel, -1, label='Env Log ', size= wx.DefaultSize) self.cb_examsets = wx.CheckBox(self.panel, -1, label='Exam Set ', size= wx.DefaultSize) self.group2_ctrls = [] self.radio1_SCM = wx.RadioButton( self.panel, -1 , "Field Logs", style = wx.RB_GROUP )self.radio2_SCM = wx.RadioButton( self.panel, -1 , "SCM logs")self.group2_ctrls.append(self.radio1_SCM) self.group2_ctrls.append(self.radio2_SCM) #Datumauswahlself.label_startdate = wx.StaticText(self.panel, -1, " Start date: ")self.datepicker_start = wx.DatePickerCtrl(self.panel,style=wx.DP_DROPDOWN | wx.DP_SHOWCENTURY)self.timepicker_start=TimeCtrl(self.panel, fmt24hr = True)self.label_enddate = wx.StaticText(self.panel, -1, " End date: ")self.datepicker_end = wx.DatePickerCtrl(self.panel,style=wx.DP_DROPDOWN | wx.DP_SHOWCENTURY)self.timepicker_end=TimeCtrl(self.panel, fmt24hr = True)#Start-Buttonself.pBstart = wx.Button(self.panel, -1, "Analyze", size= wx.DefaultSize)self.Bind(wx.EVT_BUTTON, self.OnAnalyze, self.pBstart)self.pBstart.SetToolTip(wx.ToolTip("Start analysis"))#Copyright Info#self.label_4 = wx.StaticText(self.panel, -1, u" \xa9 Siemens AG (2014) - Dr. O.Baruth H-IM AX R&&D ICX" )#self.label_5 = wx.StaticText(self.panel, -1, "--- No responsibility is taken for the correctness of the results --- ")line0 = wx.StaticLine(self.panel)line1 = wx.StaticLine(self.panel)line2 = wx.StaticLine(self.panel)#Placementdist=0#gvsizer0.Add(self.RB_plane,1, wx.ALL|wx.EXPAND, dist)gvsizer0.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer0.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer0.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb1,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb2,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb3,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb4,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb5,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb6,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb7,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb8,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb9,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb10,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb11,1, wx.ALL|wx.EXPAND, dist)gvsizer1.Add(self.cb12,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb13,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb14,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb15,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb16,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb17,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb18,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb19,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb20,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb21,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb22,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb23,1, wx.ALL|wx.EXPAND, dist)gvsizer2.Add(self.cb24,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb0,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.radio1_SCM, 1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.radio2_SCM, 1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(wx.StaticText(self.panel,-1,' '),1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_enh_env,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_png,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_CSVstyle,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_negWV,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_EnvLog,1, wx.ALL|wx.EXPAND, dist)gvsizer3.Add(self.cb_examsets,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.label_startdate,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.datepicker_start,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.timepicker_start,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.label_enddate,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.datepicker_end,1, wx.ALL|wx.EXPAND, dist)ghsizer0.Add(self.timepicker_end,1, wx.ALL|wx.EXPAND, dist)ghsizer1.Add(gvsizer0,1, wx.ALL|wx.EXPAND, dist)ghsizer1.Add(gvsizer1,1, wx.ALL|wx.EXPAND, dist)ghsizer1.Add(gvsizer2,1, wx.ALL|wx.EXPAND, dist)ghsizer1.Add(gvsizer3,1, wx.ALL|wx.EXPAND, dist)ghsizer2.Add(self.pBgetTubeInfo,1, wx.ALL|wx.EXPAND, dist)ghsizer2.Add((20,20),1, wx.ALL|wx.EXPAND, dist)ghsizer2.Add(self.pBstart,1, wx.ALL|wx.EXPAND, dist)ghsizer3.Add((60,10),1, wx.ALL|wx.EXPAND, dist)#ghsizer3.Add(self.label_4,1, wx.ALL|wx.EXPAND|wx.CENTER, dist)#ghsizer3.Add((10,10),1, wx.ALL|wx.EXPAND, dist)#ghsizer3.Add((60,10),1, wx.ALL|wx.EXPAND, dist)#ghsizer3.Add(self.label_5,1, wx.ALL|wx.EXPAND|wx.CENTER, dist)#ghsizer3.Add((10,10),1, wx.ALL|wx.EXPAND, dist)vsizer2.Add((10,10), wx.ALL|wx.EXPAND|wx.CENTER, dist)vsizer2.Add(ghsizer0,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add((10,10), wx.ALL|wx.EXPAND|wx.CENTER, dist)vsizer2.Add(line0,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add((10,10), wx.ALL|wx.EXPAND|wx.CENTER, dist)vsizer2.Add(ghsizer1,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add(line1,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add(ghsizer2,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add(line2,1, wx.ALL|wx.EXPAND, dist)vsizer2.Add((10,10), wx.ALL|wx.EXPAND|wx.CENTER, dist)vsizer2.Add(ghsizer3,1, wx.ALL|wx.EXPAND, dist)sizer = wx.FlexGridSizer(rows=2, cols=0,vgap=0, hgap=0)sizer.Add(self.notebook, 1, wx.ALL|wx.EXPAND)sizer.Add(vsizer2, 1, wx.ALL|wx.EXPAND)self.panel.SetSizer(sizer)self.Layout()if self.enable_gui:self.Show()if IcConsMode:self.cb23.SetValue(True)self.cb_CSVstyle.SetValue(True)self.cb_examsets.SetValue(True)self.cb3.SetValue(False)if ax_tc_mode:self.cb18.SetValue(True)self.cb_CSVstyle.SetValue(True)self.cb_EnvLog.SetValue(True)self.cb_negWV.SetValue(True) self.cb_png.SetValue(True) self.cb23.SetValue(True)self.cb8.SetValue(True)self.cb9.SetValue(True)self.RB_plane2.SetSelection(2)self.cb_enh_env.SetValue(False)self.cb0.SetToolTip(wx.ToolTip("Select all parts"))self.cb1.SetToolTip(wx.ToolTip("Histograms (voltage, current, zoom, watervalue, SID)"))self.cb2.SetToolTip(wx.ToolTip("Histograms (rao, cran, pulse-power, pulse-rate), scatter plots (watervalue - voltage)"))self.cb3.SetToolTip(wx.ToolTip("Scatter plots (watervalue - current, current - voltage, rao - cran, watervalue - rao, watervalue - cran, watervalue - SID), time/study"))self.cb6.SetToolTip(wx.ToolTip("Scatter plots (scenelength - pulse-duration, pulse-rate - pulse-duration, scenelength - pulse-rate)"))self.cb5.SetToolTip(wx.ToolTip("Patient-studytime, BE/day, scatter plots (scenelength - pulse-power, scenelength - mean-power, scenelength - dutycycle)"))self.cb4.SetToolTip(wx.ToolTip("Histograms (Cu-filter, skindoserate, systemdose, pulse-duration, dutycycle, scenelength)"))self.cb7.SetToolTip(wx.ToolTip("Histograms (skindose/study, DAP/study, Total BE/day), Textplots, Studyreport"))self.cb8.SetToolTip(wx.ToolTip("Verlauf Dosisausbeute"))self.cb9.SetToolTip(wx.ToolTip("Dynamic current offset vs. time"))self.cb10.SetToolTip(wx.ToolTip("Watervalue - voltage (Acq)"))self.cb11.SetToolTip(wx.ToolTip("Watervalue - voltage (Fl)"))self.cb12.SetToolTip(wx.ToolTip("Time series of watervalue / voltage"))self.cb13.SetToolTip(wx.ToolTip("Verlauf Dosisausbeute"))self.cb14.SetToolTip(wx.ToolTip("3D-plot (Cu-filter - voltage - Dosisausbeute)"))self.cb15.SetToolTip(wx.ToolTip("Scatter plot (voltage - current for small/large/micro focus)"))self.cb16.SetToolTip(wx.ToolTip("Time series of watervalue / BE / X-rays / heat-current"))self.cb17.SetToolTip(wx.ToolTip("Time series of heat-unit / dynamic-offset"))self.cb18.SetToolTip(wx.ToolTip("Arcing-events, PUN error-warnings"))self.cb19.SetToolTip(wx.ToolTip("OGP-entries"))self.cb20.SetToolTip(wx.ToolTip("Rao - cran - contour-plot"))self.cb21.SetToolTip(wx.ToolTip("Soll-Szenenlaenge vs. Ist-Szenenlaenge"))self.cb22.SetToolTip(wx.ToolTip("Soll-FD-Dosis vs. Ist-FD-Dosis"))self.cb23.SetToolTip(wx.ToolTip("Custom report for IC Cons"))self.cb24.SetToolTip(wx.ToolTip("Average Power"))self.cb_CSVstyle.SetToolTip(wx.ToolTip("unchecked: 3.4,7.3 \n checked: 3,4;7,3"))self.cb_negWV.SetToolTip(wx.ToolTip("Allow negative watervalues"))self.cb_examsets.SetToolTip(wx.ToolTip("Analyze exam sets"))self.label_4 = wx.StaticText(self, -1, u" \xa9 Siemens Healthcare GmbH (2015) - Dr. O.Baruth HC IM AX R&&D IC SP", pos=(100,self.GetSize().GetHeight()-65))self.label_4 = wx.StaticText(self, -1, "--- No responsibility is taken for the correctness of the results --- ", pos=(100,self.GetSize().GetHeight()-50))self.__set_properties()self.__do_layout()self.line_resistance='n a'self.line_voltage='n a'#Update (for Source Folder loaded from Reqistrytry:self.UpdateSourceDir()except:print 'Problem with source directory'self.MatrNr='n.a.'#Environmental Logself.envtime3=[]if(self.cb_EnvLog.GetValue()):all_Env_files=''try:all_Env_files = os.listdir(self.sourceDir + '\\Other_Logs\\EnvironmentLog') except:True; #path not valid envlogs_exists=0self.all_env_files=[]for filename in all_Env_files:if (filename.rfind('EnvironmentLog')>-1 and filename.rfind('.xml')>-1 ):self.all_env_files.append(filename)envlogs_exists=1if self.enable_gui==False:if params.find('.txt')>-1:paramlines=''try:fp=open(params)paramlines=fp.readlines()fp.close()except:print 'Problem reading config file! Exiting...'sys.exit(1)startdate_ful=''enddate_full=''self.radio1_SCM.SetValue(True) #if no SCMlog=True Entry is found, default is "no SCM" Modeself.radio2_SCM.SetValue(False)###get SNsfor line in paramlines:if line.find('SN=')>-1:try:txt=''self.SNs=[]SNdata=line.replace('\n',',').replace('SN=','').split(',')char_set=[str(i) for i in range(10)]char_set.append('*')for dat in SNdata:d=[c in char_set for c in dat.strip()]if sum(d)==len(d) and len(d)>4 and len(d)<7:txt+=dat.strip()+', 'self.SNs.append(dat.strip())self.SNs[0] if len(txt)>0:txt=txt[:-2]self.notebook.tabFour.SNlist.Clear() self.notebook.tabFour.SNlist.SetValue(txt)except:print 'Problem with serial numbers from config file! Exiting...'sys.exit(1)if line.find('days=')>-1: ####get time to analyzetry:dat=re.search(r'days=(\d+)',line)prevdays=int(dat.group(1))except:print 'Problem with days from config file! Exiting...'sys.exit(1)self.startdate=datetime.date.today()-datetime.timedelta(days=prevdays)self.starttime=datetime.time(0,0,0)self.enddate=datetime.date.today()self.endtime=datetime.time(23,59,59)startdate_full=self.startdateenddate_full=self.enddate#set output folderif line.find('outputdir=')>-1: try:dat=re.search(r'outputdir=(.+)',line)tempdir=dat.group(1)os.path.exists(tempdir)self.resultsDir=tempdirexcept:print 'Problem with path from config file! Exiting...'sys.exit(1)if line.find('startdate=')>-1: ####get time to analyzetry:dat=re.search(r'startdate=(.+)',line)startdate_full=dateutil.parser.parse(dat.group(1))self.startdate=startdate_full.date()self.starttime=startdate_full.time()except:print 'Problem with startdate from config file! Exiting...'sys.exit(1)if line.find('enddate=')>-1: try:dat=re.search(r'enddate=(.+)',line)enddate_full=dateutil.parser.parse(dat.group(1))self.enddate=enddate_full.date()self.endtime=enddate_full.time()except:print 'Problem with enddate from config file! Exiting...'sys.exit(1)if line.find('SCMlogs=True')>-1: self.radio1_SCM.SetValue(False)self.radio2_SCM.SetValue(True)try: if startdate_full=='' or enddate_full=='': print 'Problem with given dates from config file! Exiting...'sys.exit() if startdate_full>enddate_full:print 'Start day is after end date! Exiting...'sys.exit(1) except:print 'Problem with enddate from config file! Exiting...'sys.exit(1) self.notebook.SetSelection(3)try:self.OnAnalyze(wx.Event)print 'Exiting...'sys.exit(0)except:sys.exit(1)else:try:dat=re.search(r'([0-9*]{5,6});(\d{4}/\d{2}/\d{2}\s*\d{2}:\d{2});(\d{4}/\d{2}/\d{2}\s*\d{2}:\d{2});(.+)',params)self.SNs=(dat.group(1).strip())self.notebook.tabFour.SNlist.Clear() self.notebook.tabFour.SNlist.SetValue(self.SNs)startdate_full=dateutil.parser.parse(dat.group(2))self.startdate=startdate_full.date()self.starttime=startdate_full.time()enddate_full=dateutil.parser.parse(dat.group(3))self.enddate=enddate_full.date()self.endtime=enddate_full.time()tempdir=dat.group(4)if os.path.exists(tempdir):self.resultsDir=tempdirelse:print 'Problem results directory! Exiting...'sys.exit(1)self.notebook.SetSelection(3) self.OnAnalyze(wx.Event)print 'Exiting...'sys.exit(0) except Exception as e:print esys.exit(1)#------------------------------------------def WriteRegData(self):try:if self.os_type.find('linux')==-1:self.RegistryData = wx.Config("PyTAX\EventlogAnalyzer", style=wx.CONFIG_USE_GLOBAL_FILE)self.RegistryData.Write("sourceDir", self.sourceDir)self.RegistryData.Write("resultsDir", self.resultsDir)self.RegistryData.Write("SNList", self.notebook.tabFour.SNlist.GetValue())else:direfilename=os.path.join(os.path.expanduser('~'),'.ea_dirs.dat')dirfile=open(direfilename,'w')dirfile.write(self.sourceDir+'\n')dirfile.write(self.resultsDir+'\n')dirfile.write(self.notebook.tabFour.SNlist.GetValue())dirfile.close()except:print "Error writing windows registry"#------------------------------------------ def OnTubeInfo(self,event):self.get_dates()self.TubeSerialNumListA=[]self.TubeSerialNumListB=[]tab=self.notebook.GetSelection() tubeinfostrA=''tubeinfostrB=''tubeinfostr=''if tab==1:print "Nicht verfuegbar!"returnelif tab==2:print "Nicht verfuegbar!"returnelif tab==3: #SNsif(self.RB_plane2.GetSelection()==0):planes=['A']elif(self.RB_plane2.GetSelection()==1):planes=['B']else:planes=['A','B']self.notebook.tabFour.OnCheckSNList(0)if len(self.SNs)==1:singleSN=self.SNs[0]if (singleSN).isdigit():self.onScan()if singleSN in self.serialList.keys():for SW_path in self.serialList[singleSN]:zfile_list=glob.glob(os.path.join(SW_path,'XA*LogFiles.zip'))zfile_list=sorted(zfile_list)for zfile in zfile_list:zf = zipfile.ZipFile(zfile) #just take last zip files to extract caf file (Problem: what to do if SW changes?)filelist=zf.namelist()if not IcConsMode:print "reading "+zfilefor plane in planes: tubeSNdata='n.a.'for filename in filelist:#XA121001_2013_12_19_AxTubeInfoAReport.htmlstr2='_AxTubeInfo'+plane+'Report.html' if filename.find('XA')>-1 and filename.find(str2)>-1:filedate=self.GetFileDateTubeDat(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):fp = zf.open(filename)lines=fp.readlines()fp.close()tubeSNdata=self.getSingleTubeSerialNumber(lines) if plane=='A': self.TubeSerialNumListA.append(tubeSNdata)else:self.TubeSerialNumListB.append(tubeSNdata)else:print "SN not found!" return else:print "No valid SN!"returnelse:wx.MessageBox('Not available for more than one SN!', 'Tube info', wx.OK | wx.ICON_INFORMATION)returnelse:if(self.RB_plane.GetSelection()==0):planes=['A']elif(self.RB_plane.GetSelection()==1):planes=['B']else:planes=['A','B']tube_data2=glob.glob(os.path.join(self.sourceDir,'Reports','maintenance','*')) tube_data2=sorted(tube_data2)for plane in planes: for filename in tube_data2:if (filename.rfind('AxTubeInfo'+plane+'Report.html')>-1 ):filedate=self.GetFileDateTubeDat(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59): fp = open(filename)lines=fp.readlines()fp.close()tubeSNdata=self.getSingleTubeSerialNumber(lines) if plane=='A': self.TubeSerialNumListA.append(tubeSNdata)else:self.TubeSerialNumListB.append(tubeSNdata)##only Tube SNs changestubeinfostrA+='Plane A Tubes:\n' tubeinfostrB+='Plane B Tubes:\n' date=''date_last=''SN=''BE=''#Plane A if 'A' in planes:old_SN='n.a.'old_date='n.a.'old_BE='n.a'date='n.a.'SN='n.a.'BE='n.a.'SN_last=0for i in range(len(self.TubeSerialNumListA)):(date,SN,BE)=self.TubeSerialNumListA[i]if i>0:(date_last,SN_last,BE_last)=self.TubeSerialNumListA[i-1]else:SN_last=0#tubeinfostrA+= 'first date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n'if SN!=SN_last:if SN_last!=0:tubeinfostrA+= 'out date:\t'+date_last+'\tTube SN: '+SN_last+'\tBE: '+BE_last+'\n'tubeinfostrA+= 'in date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n'tubeinfostrA+= 'last date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n' #Plane Bif 'B' in planes:old_SN='n.a.'old_date='n.a.'old_BE='n.a'date='n.a.'SN='n.a.'BE='n.a.'SN_last=0for i in range(len(self.TubeSerialNumListB)):(date,SN,BE)=self.TubeSerialNumListB[i]if i>0:(date_last,SN_last,BE_last)=self.TubeSerialNumListB[i-1]else:SN_last=0#tubeinfostrB+= 'first date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n'if SN!=SN_last:if SN_last!=0:tubeinfostrB+= 'out date:\t'+date_last+'\tTube SN: '+SN_last+'\tBE: '+BE_last+'\n'tubeinfostrB+= 'in date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n'tubeinfostrB+= 'last date:\t'+date +'\tTube SN: '+SN +'\tBE: '+BE+'\n' if planes==['A']:tubeinfostr=tubeinfostrAelif planes==['B']:tubeinfostr=tubeinfostrBelse:tubeinfostr=tubeinfostrA+'\n'+tubeinfostrBif len(self.TubeSerialNumListA)==0 and len(self.TubeSerialNumListB)==0:wx.MessageBox('No tube data found\nin selected period!', 'Tube info', wx.OK | wx.ICON_INFORMATION)else:wx.MessageBox(tubeinfostr, 'Tube info', wx.OK | wx.ICON_INFORMATION)ret_val={'A':tubeinfostrA,'B':tubeinfostrB} return ret_val#------------------------------------------def UpdateSourceDir(self):DAT=[]eventlogs_exists=0try:all_files=os.listdir(self.sourceDir)except:all_files=os.listdir('D:')try:all_files += os.listdir(os.path.join(self.sourceDir,'Event_Logs')) #jn1except:Truefor filename in all_files:if (filename.rfind('_AppEventLog.txt')>1 ):DAT.append(filename)eventlogs_exists=1if(eventlogs_exists==1):startdate=datetime.datetime(2525,12,12)enddate= datetime.datetime(1901,12,12)for filename in DAT:temp =self.GetFileDate(filename)if startdate>temp:startdate=tempif enddate<temp:enddate=temp temp1=wx.DateTime()temp1.Set(startdate.day,startdate.month-1,startdate.year,0,0,0) self.datepicker_start.SetValue(temp1) self.datepicker_start.Refresh()self.timepicker_start.SetValue(temp1)temp1.Set(enddate.day,enddate.month-1,enddate.year,23,59,59)self.datepicker_end.SetValue(temp1) self.datepicker_end.Refresh()self.timepicker_end.SetValue(temp1)txt="Logs found!\n"txt+="earliest: {0}\n".format(DAT[0])txt+="latest: {0}".format(DAT[len(DAT)-1])self.earliest.WriteText(txt)else:self.earliest.WriteText("No logs found!")startdate=datetime.date.today()-datetime.timedelta(days=7)enddate= datetime.date.today()temp1=wx.DateTime()temp1.Set(startdate.day,startdate.month-1,startdate.year,0,0,0) self.datepicker_start.SetValue(temp1) self.datepicker_start.Refresh()self.timepicker_start.SetValue(temp1)temp1.Set(enddate.day,enddate.month-1,enddate.year,23,59,59)self.datepicker_end.SetValue(temp1) self.datepicker_end.Refresh()self.timepicker_end.SetValue(temp1)#------------------------------------------ def OnOpenSourceDir(self, event):dialog = wx.DirDialog(None, "Choose a directory:", self.sourceDir,style=wx.DD_DEFAULT_STYLE | wx.DD_NEW_DIR_BUTTON)if dialog.ShowModal() == wx.ID_OK:self.sourceDir=dialog.GetPath()self.text_ctrl_1.SetValue(self.sourceDir)#logging.info(self.sourceDir)dialog.Destroy()self.text_ctrl_1.SetBackgroundColour('white')self.text_ctrl_1.Refresh()self.WriteRegData()DAT=[]eventlogs_exists=0all_files=os.listdir(self.sourceDir)try:all_files += os.listdir(os.path.join(self.sourceDir,'Event_Logs')) #jn1except:Truefor filename in all_files:if (filename.rfind('_AppEventLog.txt')>1 ):DAT.append(filename)eventlogs_exists=1if(eventlogs_exists==1):startdate=datetime.datetime(2525,12,12)enddate= datetime.datetime(1901,12,12)for filename in DAT:temp =self.GetFileDate(filename)if startdate>temp:startdate=tempif enddate<temp:enddate=temp temp1=wx.DateTime()temp1.Set(startdate.day,startdate.month-1,startdate.year,0,0,0) self.datepicker_start.SetValue(temp1) self.datepicker_start.Refresh()self.timepicker_start.SetValue(temp1)temp1.Set(enddate.day,enddate.month-1,enddate.year,23,59,59)self.datepicker_end.SetValue(temp1) self.datepicker_end.Refresh()self.timepicker_end.SetValue(temp1)self.earliest.Clear() txt="Logs found!\n"txt+="earliest: {0}\n".format(DAT[0])txt+="latest: {0}".format(DAT[len(DAT)-1])self.earliest.WriteText(txt)else:self.earliest.Clear() self.earliest.WriteText("No logs found!")#------------------------------------------ def OnEditSourceDir(self,event):temp=self.text_ctrl_1.GetValue()old_dir=self.sourceDirif(os.path.isdir(temp)):self.sourceDir=tempself.WriteRegData()DAT=[]eventlogs_exists=0all_files=os.listdir(self.sourceDir)try:all_files += os.listdir(os.path.join(self.sourceDir,'Event_Logs')) #jn1except:Truefor filename in all_files:if (filename.rfind('_AppEventLog.txt')>1 ):DAT.append(filename)eventlogs_exists=1if(eventlogs_exists==1):startdate=datetime.datetime(2525,12,12)enddate= datetime.datetime(1901,12,12)for filename in DAT:temp =self.GetFileDate(filename)if startdate>temp:startdate=tempif enddate<temp:enddate=temp temp1=wx.DateTime()temp1.Set(startdate.day,startdate.month-1,startdate.year,0,0,0) self.datepicker_start.SetValue(temp1) self.datepicker_start.Refresh()self.timepicker_start.SetValue(temp1)temp1.Set(enddate.day,enddate.month-1,enddate.year,23,59,59)self.datepicker_end.SetValue(temp1) self.datepicker_end.Refresh()self.timepicker_end.SetValue(temp1) self.earliest.Clear() txt="Logs found!\n"txt+="earliest: {0}\n".format(DAT[0])txt+="latest: {0}".format(DAT[len(DAT)-1])self.earliest.WriteText(txt)self.WriteRegData()else:self.earliest.SetLabel("no logs found")else:self.sourceDir=old_dirself.text_ctrl_1.SetValue(old_dir)self.text_ctrl_1.SetBackgroundColour('white')self.text_ctrl_1.Refresh()#------------------------------------------ def OnChangeSourceDir(self,event):self.text_ctrl_1.SetBackgroundColour('red')self.text_ctrl_1.Refresh()#------------------------------------------ def OnOpenResultsDir(self, event):dialog = wx.DirDialog(None, "Choose a directory:",self.resultsDir,style=wx.DD_DEFAULT_STYLE | wx.DD_NEW_DIR_BUTTON)if dialog.ShowModal() == wx.ID_OK:self.resultsDir=dialog.GetPath()self.text_ctrl_2.SetValue(self.resultsDir)#logging.info(self.resultsDir)dialog.Destroy()self.WriteRegData()self.text_ctrl_2.SetBackgroundColour('white')self.text_ctrl_2.Refresh()#------------------------------------------ def OnEditResultsDir(self,event):temp=self.text_ctrl_2.GetValue()temp.strip()old_dir=self.resultsDirif(os.path.isdir(temp)):self.resultsDir=tempself.WriteRegData()else:self.resultsDir=old_dirself.text_ctrl_2.SetValue(old_dir)self.text_ctrl_2.SetBackgroundColour('white')self.text_ctrl_2.Refresh()#------------------------------------------ def OnChangeResultsDir(self,event):self.text_ctrl_2.SetBackgroundColour('red')self.text_ctrl_2.Refresh()#------------------------------------------ def __set_properties(self):global EAversionself.SetTitle("Eventlog Analyzer_v"+EAversion)#self.bitmap_button_1.SetSize(self.bitmap_button_1.GetBestSize())#self.bitmap_button_2.SetSize(self.bitmap_button_2.GetBestSize())#------------------------------------------ def __do_layout(self): #sizer_1 = wx.FlexGridSizer(3, 3, 0, 0)#sizer_1.Add(self.label_1, 0, wx.ALIGN_LEFT)#sizer_1.Add(self.text_ctrl_1, 0, wx.EXPAND)#sizer_1.Add(self.bitmap_button_1, 0, wx.ALIGN_RIGHT)#sizer_1.Add(self.label_2, 0, wx.ALIGN_LEFT)#sizer_1.Add(self.text_ctrl_2, 0, wx.EXPAND)#sizer_1.Add(self.bitmap_button_2, 0, wx.ALIGN_RIGHT) #self.SetSizer(sizer_1)#self.Layout()return
#------------------------------------------def GetFileDate(self,filename):#XA146000_2012_01_31_AppEventLog.txtdat33=re.search(r'.*XA\d+_(\d+)_(\d+)_(\d+)_AppEventLog.+txt',filename)if dat33!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate#------------------------------------------def GetFileDateCaf(self,filename):#XA146000_2012_01_31_AppEventLog.txtdat33=re.search(r'.*XA\d+_(\d+)_(\d+)_(\d+).*\.caf\.txt',filename)if dat33!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate
#------------------------------------------def GetExamsetDate(self,filename):#XA123007_2014_05_08_ExamSets.txt.xltdat33=re.search(r'.*XA\d+_(\d+)_(\d+)_(\d+)_ExamSets.txt.xlt',filename)if dat33!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate #------------------------------------------def GetZipFileDate(self,filename):#XA121001_2013_12_26_LogFiles.zip (-?\d+|NIL)if not IcConsMode:print filenamedat33=re.search(r'.*XA\d+_(\d{4})_(\d{2})_(\d{2})_(Mon|Short|)LogFiles.zip',filename)if dat33!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:dat33=re.search(r'.*XA\d+_(\d{2})_(\d{2})_(\d{4})_(Mon|Short|)LogFiles.zip',filename) #Jahr und Tag vertauscht im Zip-Fileanamenif dat33!=None:mydate=datetime.datetime(int(dat33.group(3)),int(dat33.group(2)),int(dat33.group(1)),0,0,0)return mydateelse:mydate=datetime.datetime(2525,1,1,0,0,0) #errorreturn mydate#------------------------------------------def GetFileDateEnv(self,filename):#XA157436_20120207_EnvironmentLog.xmldat33=re.search(r'.+XA\d+_(\d+)_EnvironmentLog.+xml',filename)if dat33.group(0)!=None:mydate=datetime.datetime(int(dat33.group(1)[0:4]),int(dat33.group(1)[4:6]),int(dat33.group(1)[6:8]),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate
#------------------------------------------def GetFileDateErr(self,filename):#XA109024_2015_04_08_AXIS_ERR.LOG dat33=re.search(r'.*XA\d+_(\d{4})_(\d{2})_(\d{2})_AXIS_ERR.LOG',filename)if dat33.group(0)!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate#------------------------------------------def GetFileDateTubeDat(self,filename):#XA157436_20120207_EnvironmentLog.xml if filename.find('AXTubeUsage')>-1:dat33=re.search(r'.+AXTubeUsage[AB].(\d+)',filename)if dat33.group(0)!=None:mydate=datetime.datetime(int(dat33.group(1)[0:4]),int(dat33.group(1)[4:6]),int(dat33.group(1)[6:8]),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydateelse: #XA153988_2012_01_13_AxTubeInfoAReport.htmldat33=re.search(r'.*XA\d+_(\d+)_(\d+)_(\d*)_AxTubeInfo.+',filename)if dat33.group(0)!=None:mydate=datetime.datetime(int(dat33.group(1)),int(dat33.group(2)),int(dat33.group(3)),0,0,0)return mydateelse:mydate=datetime.datetime(0,0,0,0,0,0) #errorreturn mydate
#------------------------------------------def Analyze_AXISerrorlog(self):tab=self.notebook.GetSelection()for act_file in self.Auswahl_axiserr:if not IcConsMode:print act_fileif tab==2:blubb=2elif tab==3 or tab==1: #SNs or SW versiontry:zf = zipfile.ZipFile(self.Auswahl_axiserr_dict[act_file,'zipfile'])fp = zf.open(self.Auswahl_axiserr_dict[(act_file,'fullname')]) axerr_lines=fp.readlines()fp.close()except:print 'error opening '+act_fileaxerr_lines=''else:axerr_lines=''#for line in axerr_lines: #print line #------------------------------------------def Analyze_EnvironmetalLogs(self):tab=self.notebook.GetSelection()self.envtime=[]self.envtime2=[]self.envtime3=[]self.driv_tube_freq=[]self.act_tube_freq=[]self.t0_time=[]self.t0_temp=[]self.driv_current=[]if self.cb_enh_env.GetValue():self.env_params={}self.env_params['temperature Inv2','ANG-plane']='deg C'self.env_params['temperature Inv1','ANG-plane']='deg C'self.env_params['RTC Temp1','CSF-plane']='deg C'self.env_params['RTC Temp2','CSF-plane']='deg C'self.env_params['FDOwnTemp', 'ACU-plane']='deg C'self.env_params['FDCoolWaterTemp', 'ACU-plane']='deg C'self.env_params['CPU0_TEMP','IVS']='deg C'self.env_params['CPU1_TEMP','IVS']='deg C'self.env_params['CPU0_TEMP','IAS-plane']='deg C'self.env_params['P0_VRD_TEMP','IVS']='deg C'self.env_params['P0_VRD_TEMP','IAS-plane']='deg C'self.env_params['PRI_RD890_TEMP','IAS-plane']='deg C'self.env_params['SAS_TEMP','IAS-plane']='deg C'self.env_params['AXIS Container','IVS']='deg C'self.env_params['System Cabinet Temp1','CSF-plane']='deg C'self.env_params['System Cabinet Temp2','CSF-plane']='deg C'self.env_params['REAR_FAN1','IVS']='rpm'self.env_params['REAR_FAN1','IAS-plane']='rpm'self.env_params['FRONT_FAN3','IVS']='rpm'self.env_params['FRONT_FAN3','IAS-plane']='rpm'self.env_params['CPU0 FAN','IVS']='rpm'self.env_params['CPU0 FAN','IAS-plane']='rpm'self.env_params['VABT','IVS']='V'self.env_params['RTC Voltages:3.3V','CSF-plane']='V'self.env_params['RTC Voltages:Vcc','CSF-plane']='V'self.env_params['RTC Voltages:12V','CSF-plane']='V'self.env_params['RTC Voltages:-12V','CSF-plane']='V'self.env_timestamp={}self.env_val={}for key in self.env_params.keys():self.env_timestamp[key]=[]self.env_val[key]=[]setplane=self.planeplane=0for act_file in self.AuswahlEnvLogs:if not IcConsMode:print act_fileif tab==2:blubb=2elif tab==3 or tab==1: #SNs or SW versiontry:zf = zipfile.ZipFile(self.AuswahlEnvLogs_dict[act_file,'zipfile'])fp = zf.open(self.AuswahlEnvLogs_dict[(act_file,'fullname')]) handler=fp.read()fp.close()except:print 'error opening '+act_filehandler=''else:handler=open(act_file).read()try:#VX...#<DataGroup Group_Name= "ANG-A" DateTime="2013-11-13 00:05:00"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="actual tube anode frequency" Variable_Unit=" "><DoubleVariable Low_Specification="2.22507385851e-308" High_Specification="1.79769313486e+308" Double_Value="206."/></DataEntry></DataElement></DataPackage></DataGroup>#<DataGroup Group_Name= "ACU-A" DateTime="2013-11-13 00:43:40"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="FDCoolWaterTemp" Variable_Unit=" deg. C">#<DataGroup Group_Name= "IVS" DateTime="2013-11-13 00:43:32"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="PRI_RD890_TEMP" Variable_Unit=" deg. C">#<DataGroup Group_Name= "CSF-A" DateTime="2013-11-13 00:41:19"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="RTC Voltages:3.3V" Variable_Unit=" V">#<DataGroup Group_Name= "ANG-B" DateTime="2013-11-13 00:42:08"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="temperature H1" Variable_Unit=" deg. C">#<DataGroup Group_Name= "ANG-B" DateTime="2013-11-13 00:44:08"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="temperature Inv2" Variable_Unit=" deg. C">#EAS#<DataGroup Group_Name= "ANG-A" DateTime="2014-06-17 00:03:49"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="actual tube anode frequency" Variable_Unit=" Hz"><DoubleVariable Low_Specification="2.22507385851e-308" High_Specification="1.79769313486e+308" Double_Value="156."/></DataEntry></DataElement></DataPackage></DataGroup>#<DataGroup Group_Name= "ANG-A" DateTime="2014-06-17 00:03:49"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="driving tube anode frequency" Variable_Unit=" Hz"><DoubleVariable Low_Specification="2.22507385851e-308" High_Specification="1.79769313486e+308" Double_Value="168."/></DataEntry></DataElement></DataPackage></DataGroup>#<DataGroup Group_Name= "ANG-A" DateTime="2014-06-17 00:08:49"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="driving tube anode current" Variable_Unit=" mA"><DoubleVariable Low_Specification="2.22507385851e-308" High_Specification="1.79769313486e+308" Double_Value="2866."/></DataEntry></DataElement></DataPackage></DataGroup>#<DataGroup Group_Name= "ACU-B" DateTime="2015-09-28 00:01:16"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="FDCoolWaterTemp" Variable_Unit="...#plane='A'#groups: CSF-B, ANG-A, ANG-B, IAS-A,IAS-B,IVS search_str1='<DataGroup Group_Name= "ANG-'+self.plane+'" DateTime="\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}"><DataPackage Package_Name= "Output"><DataElement Element_Name= "Output"><DataEntry Variable_Name="'search_str2='" Variable_Unit="[ deg\.C| Hz| mA| V]+"><DoubleVariable Low_Specification="2\.22507385851e-308" High_Specification="1\.79769313486e\+308" Double_Value="[\d\.]+"'data_str1='actual tube anode frequency'data_str2='driving tube anode frequency'data_str3='temperature signal T0'data_str4='driving tube anode current'data_str5='temperature H1'p_act_tube_frq =re.compile(search_str1+data_str1+search_str2)p_driv_tube_frq=re.compile(search_str1+data_str2+search_str2)p_temp_T0 =re.compile(search_str1+data_str3+search_str2)p_driv_current =re.compile(search_str1+data_str4+search_str2)p_temp_H1 =re.compile(search_str1+data_str5+search_str2)hits_act_tube_frq=p_act_tube_frq.findall(handler)hits_drv_tube_frq=p_driv_tube_frq.findall(handler)hits_driv_current=p_driv_current.findall(handler)hits_temp_T0=p_temp_T0.findall(handler)hits_temp_H1=p_temp_H1.findall(handler)for hit in hits_act_tube_frq:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+)',hit)self.envtime2.append(dat2.group(1))self.act_tube_freq.append(float(dat2.group(2)))for hit in hits_drv_tube_frq:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+)',hit)self.envtime.append(dat2.group(1))self.driv_tube_freq.append(float(dat2.group(2)))for hit in hits_driv_current:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+)',hit)self.envtime3.append(dat2.group(1))self.driv_current.append(float(dat2.group(2)))for hit in hits_temp_T0:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+)',hit)self.t0_time.append(dat2.group(1))self.t0_temp.append(float(dat2.group(2)))for hit in hits_temp_H1:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+)',hit)self.H1_time.append(dat2.group(1))self.H1_temp.append(float(dat2.group(2)))if self.cb_enh_env.GetValue():for key in self.env_params.keys():searchstr =re.compile(search_str1.replace('ANG-'+self.plane,key[1]).replace('plane',self.plane)+key[0]+search_str2)hits=searchstr.findall(handler)for hit in hits:dat2=re.search('(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}).+Double_Value="([\d\.]+).',hit)self.env_timestamp[key].append(dateutil.parser.parse(dat2.group(1)))self.env_val[key].append(float(dat2.group(2))) except: print "Problem with Environmentallog file! Skipping file: "+act_file#output to fileif len(self.driv_current)==0:self.driv_current=[0 for z in self.act_tube_freq]num_ele=min(len(self.envtime),len(self.envtime2))else:num_ele=min(len(self.envtime),len(self.envtime2),len(self.envtime3))if len(self.envtime)>0:txt='Date_time,drive_tube_freq,act_tube_freq,drive_current\n'for i in xrange(num_ele):act_tube_frq=self.act_tube_freq[i]if act_tube_frq==65535:act_tube_frq=-1datastring = self.envtime[i] + ',' + str(self.driv_tube_freq[i]) + ',' + str(act_tube_frq)+','+str(self.driv_current[i])+'\n'#print datastringtxt=txt+datastringif self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunkttxt=txt.replace(',',';').replace('.',',') try:fromDate=self.envtime[0][0:10] toDate=self.envtime[-1][0:10] except:fromDate='' toDate=''outputfile = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '_to_' + toDate +'_plane_' + str(self.plane) + '_tube_driving.csv')fw = open(outputfile, "w")fw.write(txt) fw.close() if len(self.t0_temp)>0:txt='Date_time,Temp/[grad C]\n'for i in xrange(len(self.t0_time)):datastring= self.t0_time[i] + ',' + str(self.t0_temp[i])+'\n' txt=txt+datastringif self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunkttxt=txt.replace(',',';').replace('.',',') try:fromDate=self.t0_time[0][0:10] toDate=self.t0_time[-1][0:10] except:fromDate='' toDate=''outputfile = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '_to_' + toDate +'_plane_' + str(self.plane) + '_temperature_T0.csv')fw = open(outputfile, "w")fw.write(txt) fw.close() else:print 'No data for selected plane found in environmental log!' #------------------------------------------------------------------def getTubeSerialNumber(self): SN='n.a.' TubeSNlist=[]tab=self.notebook.GetSelection()try:if self.AuswahlTubeData.__len__()>0:for latestTubeDataFile in self.AuswahlTubeData:if tab==2:blubb=2elif tab==3 or tab==1: #SNszf = zipfile.ZipFile(self.AuswahlTubeData_dict[latestTubeDataFile,'zipfile'])#print "lese file " + self.Auswahl_dict[latestTubeDataFile,'fullname'] fp = zf.open(self.AuswahlTubeData_dict[latestTubeDataFile,'fullname']) lines=fp.readlines()fp.close()else: #Standardfp = open(latestTubeDataFile,'r')lines=fp.readlines()fp.close()for i,line in enumerate(lines): #find line with tube exchange date <TD>01/13/12</TD>, SN is in next linedat44=re.search(r'<TD>(\d+)/(\d+)/(\d+)</TD>',line)if dat44!=None:MatNrline=lines[i+1]SNline=lines[i+2]BEline=lines[i+3]self.MatrNr=re.search(r'<TD>(.*)</TD>',MatNrline).group(1)datSN=re.search(r'<TD>(.*)</TD>',SNline)datBE=re.search(r'<TD>(.*)</TD>',BEline)if datSN!=None and datBE!=None:if datSN.group(1)!='':SN=datSN.group(1)if datBE.group(1)!='':BE=datBE.group(1) datestr=dat44.group(2)+'.'+dat44.group(1)+'.'+dat44.group(3)TubeSNlist.append((datestr,SN,BE))except:Trueif TubeSNlist==[]:TubeSNlist.append(('n.a.','n.a.','n.a.')) return TubeSNlist#------------------------------------------------------------------def getSingleTubeSerialNumber(self,lines): SN='n.a.' for i,line in enumerate(lines): #find line with tube exchange date <TD>01/13/12</TD>, SN is in next linedat44=re.search(r'<TD>(\d+)/(\d+)/(\d+)</TD>',line)if dat44!=None:MatNrline=lines[i+1]SNline=lines[i+2]BEline=lines[i+3]self.MatrNr=re.search(r'<TD>(.*)</TD>',MatNrline).group(1)datSN=re.search(r'<TD>(.*)</TD>',SNline)datBE=re.search(r'<TD>(.*)</TD>',BEline)if datSN!=None and datBE!=None:if datSN.group(1)!='':SN=datSN.group(1)else:SN='n.a.'if datBE.group(1)!='':BE=datBE.group(1) else:BE='n.a.' datestr=dat44.group(2)+'.'+dat44.group(1)+'.'+dat44.group(3)Tube_data=(datestr,SN,BE)return Tube_data #(datestr,SN,BE)#------------------------------------------------------------------def onScan(self):if self.radio1_SCM.GetValue()==True:folderList = glob.glob(self.sourceDirZipsArtis + '/V*/[0-9]*')try:folderList = folderList + glob.glob(self.sourceDirZipsEAS + '/V*/[0-9]*')except:Trueelse:try:folderList = glob.glob(self.sourceDirZipsSCM + '/[0-9]*')except Exception, e:print eself.serialList = {}for currentFolder in folderList:temp=os.path.basename(currentFolder)if temp.isdigit():currentSerial = tempif currentSerial not in self.serialList.keys():self.serialList[currentSerial]=[]self.serialList[currentSerial].append(currentFolder)try:for key in self.serialList.keys():self.serialList[key]=sorted(self.serialList[key]) except:True#print serialList#------------------------------------------------------------------def onScanSW(self,SWlist):if self.radio1_SCM.GetValue()==True:folderList = glob.glob(self.sourceDirZipsArtis + '/V*/[0-9]*')try:folderList = folderList + glob.glob(self.sourceDirZipsEAS + '/V*/[0-9]*')except:Trueelse:try:folderList = glob.glob(self.sourceDirZipsSCM + '/[0-9]*')except Exception, e:print eself.serialList = {}for currentFolder in folderList:currentSW=currentFolder.split(os.sep)[-2][0:4]if currentSW in SWlist:currentSerial = os.path.basename(currentFolder)if currentSerial not in self.serialList.keys():self.serialList[currentSerial]=[]self.serialList[currentSerial].append(currentFolder)try:for key in self.serialList.keys():self.serialList[key]=sorted(self.serialList[key]) except:Truereturn self.serialList#------------------------------------------------------------------ def OnAnalyze(self, event):self.today=str(datetime.datetime.now()).replace(' ','_').replace(':','-')self.logfilename=os.path.join(self.resultsDir, 'EA-errorlog_'+self.today+'.txt')logging.basicConfig(level=logging.DEBUG,format='%(asctime)s %(levelname)s %(message)s',filename=self.logfilename)self.init_analysis=Trueself.init_analysis_mk=Trueif self.enable_gui:self.get_dates()else:self.start__datum=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,self.starttime.hour,self.starttime.minute,self.starttime.second)self.ende__datum=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,self.endtime.hour,self.endtime.minute,self.endtime.second)self.datastr=[]if(self.RB_plane2.GetSelection()==0):self.planes=['A']elif (self.RB_plane2.GetSelection()==1):self.planes=['B']else:self.planes=['A','B']self.SN=0self.resultsDirSN=self.resultsDirtab=self.notebook.GetSelection()if tab==1: # SW Viewself.SW_list=[]if self.notebook.tabTwo.Artis_VC14.Value==True:self.SW_list.append('VC14')if self.notebook.tabTwo.Artis_VC21.Value==True:self.SW_list.append('VC21')if self.notebook.tabTwo.Artis_VD10.Value==True:self.SW_list.append('VD10')if self.notebook.tabTwo.EAS_VA10.Value==True:self.SW_list.append('VA10')self.SWList=self.onScanSW(self.SW_list)self.serialList={}for currentFolder in self.SWList.values():temp=os.path.basename(currentFolder[0])if temp.isdigit():currentSerial = tempcurrentSW=currentFolder[0].split(os.sep)[-2][0:4]if currentSW in self.SW_list:if currentSerial not in self.serialList.keys():self.serialList[currentSerial]=[]self.serialList[currentSerial].append(currentFolder[0])self.SNzips={}counter=0numSNs=len(self.serialList.keys())for SN_key in sorted(self.serialList.keys()):counter+=1print SN_key+ ' ('+str(counter)+' of '+str(numSNs)+')'for SN_path in self.serialList[SN_key]:if SN_key not in self.SNzips.keys():self.SNzips[SN_key]=glob.glob(os.path.join(SN_path,'XA*LogFiles.zip'))else:self.SNzips[SN_key]+glob.glob(os.path.join(SN_path,'XA*LogFiles.zip'))for SN in sorted(self.SNzips.keys()):self.SNzips[SN]=sorted(self.SNzips[SN])self.SN=SNself.resultsDirSN=os.path.join(self.resultsDir,self.SN)try:if not os.path.exists(self.resultsDirSN):os.mkdir(self.resultsDirSN)except:print "Problem! Could not create output folder " +self.resultsDirSNreturnfor self.plane in self.planes:logging.info('Start analyzing '+str(SN)+' plane '+self.plane)try:self.OnAnalyzeSN_View(SN) except Exception as err:logging.info('Problem during analyis of SN '+str(SN) +' plane '+self.plane)logging.error("Error during analysis data: %s", err)logging.info('Continue with next system')#self.todayelif tab==2: #Tube Type Viewblubb=2elif tab==3: #SNsself.notebook.tabFour.OnEditResultsDir(wx.Event)self.notebook.tabFour.OnCheckSNList(wx.Event)self.onScan() #sets self.serialListself.SNzips={}for SN_sel in self.SNs:for SN_key in sorted(self.serialList.keys()):searchstr=SN_sel.replace('*','\d')dat1=re.search(r'('+searchstr+')',SN_key)if dat1!=None:for SN_path in self.serialList[SN_key]:print 'SN: '+str(SN_key)for root, dirnames, filenames in os.walk(SN_path):for filename in fnmatch.filter(filenames, 'XA*LogFiles.zip'): if not IcConsMode:print filenameif SN_key not in self.SNzips.keys():zipdat=[]self.SNzips[SN_key]=zipdatself.SNzips[SN_key].append(os.path.join(root, filename))SN=SN_key if SN not in self.SNzips.keys(): #skip empty folderscontinueself.SNzips[SN]=sorted(self.SNzips[SN])self.SN=SNself.resultsDirSN=os.path.join(self.resultsDir,self.SN)try:if not os.path.exists(self.resultsDirSN):os.mkdir(self.resultsDirSN)except:print "Problem! Could not create output folder " +self.resultsDirSNreturnself.no_plane_B_found=0for self.plane in self.planes:logging.info('Start analyzing '+str(SN)+' plane '+self.plane)try:self.OnAnalyzeSN_View(SN) except Exception as err:logging.exception('Problem during analyis of SN '+str(SN) +' plane '+self.plane)#logging.error("Error during analysis data: %s", err)logging.info('Continuing with next system...')else: #0 ==> Standard#self.OnEditResultsDir(wx.Event)#self.OnEditSourceDir(wx.Event)self.resultsDirSN=self.resultsDirself.OnAnalyzeStandard() if not IcConsMode and self.enable_gui:wx.MessageBox("Done!")print 'Done!'logging.info('Done')if send_mail==True and (socket.gethostname()=='FORS14AA' or socket.gethostname()=='FORS18AA' or socket.gethostname()=='MD1F5GCC'):global senderAddress global recipientAddresssubject = 'Errorlog from EA'text = open(self.logfilename).read()if text.find('ERROR')>-1:######### do not edit below this line #########server = 'medmailbalance.erlm.siemens.de'headers = "From: %s\r\nTo: %s\r\nSubject: %s\r\n\r\n" % (senderAddress, recipientAddress, subject)message = headers + texttry:mailServer = smtplib.SMTP(server)mailServer.sendmail(senderAddress, recipientAddress, message)mailServer.quit()except Exception as err:logging.exception('Problem during sending mail!')return
#----------------------------------------------------------------------------------------------- def OnAnalyzeStandard(self): self.envtime=[]self.driv_tube_freq=[]self.act_tube_freq=[]self.t0_time=[]self.t0_temp=[]self.driv_current=[]self.H1_time=[]self.H1_temp=[]try: del self.myXEventexcept:True; #ok war nicht existentself.myXEvent=XEvent()self.events=0global DateienDateien = []self.eventlog_files = []self.system_caf = []self.axiom_caf = []self.env_logs = []self.examsets = []self.tube_data = []self.Auswahl = []self.AuswahlEnvLogs = []self.AuswahlTubeData= []self.AuswahlZips = []self.AuswahlExamSet= []if(self.RB_plane.GetSelection()==0):self.plane='A'else:self.plane='B'# look in one directory only (old, need to copy files into same directory)try:all_filenames = os.listdir(self.sourceDir)#Eventlog-Filesfor filename in all_filenames:if (filename.rfind('_AppEventLog.txt')>1 ):Dateien.append(filename)filename=os.path.join(self.sourceDir,filename)if( os.path.isfile(filename) ):self.eventlog_files.append(filename)#system.caffor filename in all_filenames:if (filename.rfind('system.caf.txt')>1 ):filename=os.path.join(self.sourceDir,filename)if( os.path.isfile(filename) ):self.system_caf.append(filename)#axiom.caffor filename in all_filenames:if (filename.rfind('axiom.caf.txt')>1 ):filename=os.path.join(self.sourceDir,filename)if( os.path.isfile(filename) ):self.axiom_caf.append(filename)except:Trueif (self.system_caf.__len__()==0): # look in correct subdirectories ...(jn)print "found input files in subdirectory..."try: all_logfiles = os.listdir(os.path.join(self.sourceDir,'Event_Logs'))all_caffiles = os.listdir(os.path.join(self.sourceDir,'Reports','ConfigData','system_rpt'))all_axiomcaffiles = os.listdir(os.path.join(self.sourceDir,'Reports','ConfigData','IVS_rpt'))try:all_envionment_logs = os.listdir(os.path.join(self.sourceDir,'Other_Logs','EnvironmentLog'))except:all_envionment_logs =''try:all_tube_data = os.listdir(os.path.join(self.sourceDir,'Reports','SDC','TubeData'))except:all_tube_data=''if all_tube_data=='':try:all_tube_data2 = os.listdir(os.path.join(self.sourceDir,'Reports','maintenance')) except:all_tube_data2=''#XA123007_2014_05_07_ExamSets.txt.xlt try:all_examsets=os.listdir(os.path.join(self.sourceDir,'Reports','ExamSets')) except:all_examsets='' #Eventlog-Filesfor filename in all_logfiles:if (filename.rfind('_AppEventLog')>-1 and filename.rfind('.txt')>-1 ):Dateien.append('Event_Logs\\' + filename)filename=os.path.join(self.sourceDir,'Event_Logs', filename)if( os.path.isfile(filename) ):self.eventlog_files.append(filename)#system.caffor filename in all_caffiles:if (filename.rfind('system.caf.txt')>-1 ):filename=os.path.join(self.sourceDir,'Reports','ConfigData','system_rpt',filename)if( os.path.isfile(filename) ):self.system_caf.append(filename)#axiom.caffor filename in all_axiomcaffiles:if (filename.rfind('axiom.caf.txt')>-1 ):filename=os.path.join(self.sourceDir,'Reports','ConfigData','IVS_rpt',filename)if( os.path.isfile(filename) ):self.axiom_caf.append(filename)#exam_setsfor filename in all_examsets:if (filename.rfind('_ExamSets.txt.xlt')>-1 ):filename=os.path.join(self.sourceDir,'Reports','ExamSets',filename)if( os.path.isfile(filename) ):self.examsets.append(filename) #Environment Logfor filename in all_envionment_logs:if (filename.rfind('_EnvironmentLog')>-1 and filename.rfind('xml')>-1 ):filename=os.path.join(self.sourceDir,'Other_Logs','EnvironmentLog',filename)if( os.path.isfile(filename) ):self.env_logs.append(filename) #Tube usage (for Tube SN)if all_tube_data!='':for filename in all_tube_data:if (filename.rfind('AXTubeUsage'+self.plane)>-1 ):filename=os.path.join(self.sourceDir,'Reports','SDC','TubeData',filename)if( os.path.isfile(filename) ):self.tube_data.append(filename) else:if all_tube_data2!='':for filename in all_tube_data2:if (filename.rfind('AxTubeInfo'+self.plane+'Report.html')>-1 ):filename=os.path.join(self.sourceDir,'Reports','maintenance',filename)if( os.path.isfile(filename) ):self.tube_data.append(filename) except:Trueif (self.system_caf.__len__()==0):wx.MessageBox("No system.caf.txt file have been found in subfolder of specified source path!")return if (self.axiom_caf.__len__()==0):wx.MessageBox("No axiom.caf.txt file have been found in subfolder of specified source path!")return if (self.eventlog_files.__len__()==0):wx.MessageBox("No eventlog files have been found in specified source path!")returnif (self.env_logs.__len__()==0 and self.cb_EnvLog.GetValue()):wx.MessageBox("No environment log files have been found in subfolder of specified source path!")if (self.tube_data.__len__()==0 ):#wx.MessageBox("No tube data log files have been found in subfolder of specified source path!")print "No tube data log files have been found in subfolder of specified source path!"if (self.examsets.__len__()==0 ):#wx.MessageBox("No tube data log files have been found in subfolder of specified source path!")print "No exam sets have been found in subfolder of specified source path!"self.eventlog_files.sort() if(self.env_logs.__len__()!=0 and self.cb_EnvLog.GetValue()):self.env_logs.sort()self.tube_data.sort()self.events=0fp=open(self.system_caf[-1],'r') #Open latest filecaf_lines=fp.readlines()fp.close()self.process_system_caf(caf_lines)for filename in self.axiom_caf:fp=open(filename,'r') caf_lines=fp.readlines()fp.close()self.process_axiom_caf(caf_lines,self.GetFileDateCaf(filename))############################ Hier werden die Tage zwischen Startdatum und Enddatum in "Auswahl" gespeichert ###################################for filename in self.eventlog_files: filedate=self.GetFileDate(filename)if not IcConsMode:print filedateif filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):self.Auswahl.append(filename)self.env_logs=sorted(self.env_logs)for filename in self.env_logs: filedate=self.GetFileDateEnv(filename)if not IcConsMode:print filedateif filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):self.AuswahlEnvLogs.append(filename) for filename in self.tube_data: filedate=self.GetFileDateTubeDat(filename)if not IcConsMode:print filedateif filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):self.AuswahlTubeData.append(filename) #alle Tube_SN im Auswertezeitraum suchenif self.AuswahlTubeData==[]: #wenn dort keine vorhanden ist, letze vorhandene nehmentempFN=[]for filename in self.tube_data: filedate=self.GetFileDateTubeDat(filename) if filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):tempFN.append(filename)if tempFN!=[]:self.AuswahlTubeData.append(tempFN[-1])if self.AuswahlExamSet==[]: #wenn dort keine vorhanden ist, letze vorhandene nehmenfor filename in self.examsets: filedate=self.GetExamsetDate(filename) if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):self.AuswahlExamSet.append(filename)#########################if len(self.AuswahlEnvLogs)>0 and self.cb_EnvLog.GetValue():self.Analyze_EnvironmetalLogs() self.TubeSerialNumList=self.getTubeSerialNumber() try: self.TubeSerialNum= (self.TubeSerialNumList[-1])[1]except:self.TubeSerialNum='n.a.'self.read_data()self.calc_derived_measurements()self.calc_power_vs_prom()self.save_data()self.show_data()#------------------------------------------------------------------def get_dates(self):self.startdate =wxdate2pydate(self.datepicker_start.GetValue())self.starttime =self.timepicker_start.GetValue(as_wxDateTime=True)self.start__datum=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,self.starttime.Hour,self.starttime.Minute,self.starttime.Second)self.enddate= wxdate2pydate(self.datepicker_end.GetValue())self.endtime =self.timepicker_end.GetValue(as_wxDateTime=True)self.ende__datum=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,self.endtime.Hour,self.endtime.Minute,self.endtime.Second)#------------------------------------------------------------------def OnAnalyzeSN_View(self,SN): self.envtime=[]self.driv_tube_freq=[]self.act_tube_freq=[]self.t0_time=[]self.t0_temp=[]self.driv_current=[]self.H1_time=[]self.H1_temp=[]old_axiom_caf=''try: del self.myXEventexcept:True; #ok war nicht existentself.myXEvent=XEvent()self.events=0global DateienDateien = []self.eventlog_files = []self.system_caf = []self.axiom_caf = []self.env_logs = []self.examsets = []self.tube_data = []self.Auswahl = []self.AuswahlEnvLogs = []self.AuswahlTubeData= []self.AuswahlZips = []############################ Hier werden die Tage zwischen Startdatum und Enddatum in "Auswahl" gespeichert ####################################problem: Logfiles im zip sind oft vom Vortag -> datetime.timedelta(day=1)) was ist wenn die Maschine erst 3 Tage spaeter wieder gestartet wird for filename in self.SNzips[SN]: filedate=self.GetZipFileDate(filename)if not IcConsMode:print filedateif filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=(datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59)+datetime.timedelta(days=3)): self.AuswahlZips.append(filename)self.AuswahlZips=sort(self.AuswahlZips) if len(self.AuswahlZips)>0:if 1:try:if self.plane=='A' or (self.plane=='B' and self.no_plane_B_found==0): #XA123007_2014_01_14_system.caf.txtzf = zipfile.ZipFile(self.AuswahlZips[-1]) #just take last zip files to extract caf file (Problem: what to do if SW changes?)filelist=zf.namelist()caf_file=''caf_found=0for filename in filelist:if filename.find('XA')>-1 and filename.find('_system.caf.txt')>-1:caf_file=filenamebreakif caf_file !='': fp = zf.open(caf_file)caf_txt = fp.readlines()fp.close()self.process_system_caf(caf_txt)caf_found=1else:print "No caf file found! Skipping evaluation!" else:print "No plane B found! Skipping evaluation!" except:"Error! Extracting caf files from zip failed!"self.Auswahl_dict={}self.Auswahl=[]self.AuswahlEnvLogs_dict={}self.AuswahlEnvLogs=[]self.AuswahlTubeData_dict={}self.AuswahlTubeData=[]self.AuswahlExamSet_dict={}self.AuswahlExamSet=[]self.AuswahlIVS_Systemlog_dict={}self.AuswahlIVS_Systemlog=[]self.Auswahl_ang_fluoro_aaf_dict={}self.Auswahl_ang_fluoro_aaf=[]self.Auswahl_scu_caf_dict={}self.Auswahl_scu_caf=[]self.Auswahl_axiserr_dict={}self.Auswahl_axiserr=[]for zfile in self.AuswahlZips:try:zf = zipfile.ZipFile(zfile) filelist=zf.namelist()if not IcConsMode:print "reading "+zfilefor filename in filelist:#XA123007_2014_01_14_axiom.caf.txtif filename.find('XA')>-1 and filename.find('_axiom.caf.txt')>-1 and os.path.basename(filename)!=old_axiom_caf and filename.find('IVS')>-1: fp = zf.open(filename)axiom_txt = fp.readlines()fp.close()self.process_axiom_caf(axiom_txt,self.GetFileDateCaf(filename))old_axiom_caf=os.path.basename(filename)#XA123007_2014_01_28_AppEventLog.txtif filename.find('XA')>-1 and filename.find('_AppEventLog.txt')>-1:filedate=self.GetFileDate(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):logname=os.path.basename(filename)if self.Auswahl_dict.has_key((logname,'fullname')):if zf.getinfo(filename).file_size>self.Auswahl_dict[logname,'size']:self.Auswahl_dict[logname,'date']=zf.getinfo(filename).date_timeself.Auswahl_dict[logname,'size']=zf.getinfo(filename).file_sizeself.Auswahl_dict[logname,'fullname']=filenameself.Auswahl_dict[logname,'zipfile']=zfileelse:self.Auswahl_dict[logname,'date']=zf.getinfo(filename).date_time self.Auswahl_dict[logname,'size']=zf.getinfo(filename).file_sizeself.Auswahl_dict[logname,'fullname']=filenameself.Auswahl_dict[logname,'zipfile']=zfileself.Auswahl.append(logname)#XA123007_20140305_EnvironmentLog.xml if filename.find('XA')>-1 and filename.find('_EnvironmentLog.xml')>-1 and self.cb_EnvLog.GetValue():filedate=self.GetFileDateEnv(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):envlogname=os.path.basename(filename)if self.AuswahlEnvLogs_dict.has_key((envlogname,'fullname')):if zf.getinfo(filename).file_size>self.AuswahlEnvLogs_dict[envlogname,'size']:self.AuswahlEnvLogs_dict[envlogname,'fullname']=filenameself.AuswahlEnvLogs_dict[envlogname,'date']=zf.getinfo(filename).date_timeself.AuswahlEnvLogs_dict[envlogname,'size']=zf.getinfo(filename).file_sizeself.AuswahlEnvLogs_dict[envlogname,'zipfile']=zfileelse:self.AuswahlEnvLogs_dict[envlogname,'fullname']=filenameself.AuswahlEnvLogs_dict[envlogname,'date']=zf.getinfo(filename).date_timeself.AuswahlEnvLogs_dict[envlogname,'size']=zf.getinfo(filename).file_sizeself.AuswahlEnvLogs_dict[envlogname,'zipfile']=zfileself.AuswahlEnvLogs.append(envlogname)#..\109024\VD10E_140321-2\Other_Logs\ivs\XA109024_2015_04_08_AXIS_ERR.LOG if filename.find('XA')>-1 and filename.find('_AXIS_ERR.LOG')>-1 and False and filename.find('ivs')>-1: filedate=self.GetFileDateErr(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):errlogname=os.path.basename(filename)if self.Auswahl_axiserr_dict.has_key((errlogname,'fullname')):if zf.getinfo(filename).file_size>self.Auswahl_axiserr_dict[errlogname,'size']:self.Auswahl_axiserr_dict[errlogname,'fullname']=filenameself.Auswahl_axiserr_dict[errlogname,'date']=zf.getinfo(filename).date_timeself.Auswahl_axiserr_dict[errlogname,'size']=zf.getinfo(filename).file_sizeself.Auswahl_axiserr_dict[errlogname,'zipfile']=zfileelse:self.Auswahl_axiserr_dict[errlogname,'fullname']=filenameself.Auswahl_axiserr_dict[errlogname,'date']=zf.getinfo(filename).date_timeself.Auswahl_axiserr_dict[errlogname,'size']=zf.getinfo(filename).file_sizeself.Auswahl_axiserr_dict[errlogname,'zipfile']=zfileself.Auswahl_axiserr.append(errlogname)#XA123007_2014_05_09_ExamSets.txt.xlt if filename.find('XA')>-1 and filename.find('_ExamSets.txt.xlt')>-1 and self.cb_examsets.GetValue():filedate=self.GetExamsetDate(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):examsetname=os.path.basename(filename)if self.AuswahlExamSet_dict.has_key((examsetname,'fullname')):if zf.getinfo(filename).file_size>self.AuswahlEnvLogs_dict[envlogname,'size']:self.AuswahlExamSet_dict[examsetname,'fullname']=filenameself.AuswahlExamSet_dict[examsetname,'date']=zf.getinfo(filename).date_timeself.AuswahlExamSet_dict[examsetname,'size']=zf.getinfo(filename).file_sizeself.AuswahlExamSet_dict[examsetname,'zipfile']=zfileelse:self.AuswahlExamSet_dict[examsetname,'fullname']=filenameself.AuswahlExamSet_dict[examsetname,'date']=zf.getinfo(filename).date_timeself.AuswahlExamSet_dict[examsetname,'size']=zf.getinfo(filename).file_sizeself.AuswahlExamSet_dict[examsetname,'zipfile']=zfileself.AuswahlExamSet.append(examsetname) #XA153979_2014_08_06_07_33_14_AxSystemData.log str2='_AxSystemData.log' if filename.find('XA')>-1 and filename.find(str2)>-1:#filedate=self.GetFileDateTubeDat(filename)if filename.find('ivs')>-1:ivs_system_data=os.path.basename(filename)if self.AuswahlIVS_Systemlog_dict.has_key((ivs_system_data,'fullname')):if zf.getinfo(filename).file_size>self.AuswahlTubeData_dict[ivs_system_data,'size']:self.AuswahlIVS_Systemlog_dict[ivs_system_data,'date']=zf.getinfo(filename).date_timeself.AuswahlIVS_Systemlog_dict[ivs_system_data,'size']=zf.getinfo(filename).file_sizeself.AuswahlIVS_Systemlog_dict[ivs_system_data,'zipfile']=zfileelse:self.AuswahlIVS_Systemlog_dict[ivs_system_data,'fullname']=filenameself.AuswahlIVS_Systemlog_dict[ivs_system_data,'date']=zf.getinfo(filename).date_timeself.AuswahlIVS_Systemlog_dict[ivs_system_data,'size']=zf.getinfo(filename).file_sizeself.AuswahlIVS_Systemlog_dict[ivs_system_data,'zipfile']=zfileself.AuswahlIVS_Systemlog.append(ivs_system_data)"""if filename.find('ang_fluoro')>-1 and filename.find('aaf')>-1: #stores Plane A and B and grid ang_fluoro.aaf filesfile_ang_fluoro=os.path.basename(filename)if self.Auswahl_ang_fluoro_aaf_dict.has_key((file_ang_fluoro,'fullname')):if zf.getinfo(filename).file_size>self.Auswahl_ang_fluoro_aaf_dict[file_ang_fluoro,'size']:self.Auswahl_ang_fluoro_aaf_dict[file_ang_fluoro,'date']=zf.getinfo(filename).date_timeself.Auswahl_ang_fluoro_aaf_dict[file_ang_fluoro,'size']=zf.getinfo(filename).file_sizeself.Auswahl_ang_fluoro_aaf_dict[file_ang_fluoro,'zipfile']=zfileelse:self.Auswahl_ang_fluoro_aaf_dict[ivs_system_data,'fullname']=filenameself.Auswahl_ang_fluoro_aaf_dict[ivs_system_data,'date']=zf.getinfo(filename).date_timeself.Auswahl_ang_fluoro_aaf_dict[ivs_system_data,'size']=zf.getinfo(filename).file_sizeself.Auswahl_ang_fluoro_aaf_dict[ivs_system_data,'zipfile']=zfileself.Auswahl_ang_fluoro_aaf.append(file_ang_fluoro)""" #XA123007_2013_10_07_scu.caf.txtif filename.find('_scu.caf.txt')>-1: #stores Plane A and B and grid ang_fluoro.aaf filesfile_scu_caf=os.path.basename(filename)if self.Auswahl_scu_caf_dict.has_key((file_scu_caf,'fullname')):if zf.getinfo(filename).file_size>self.Auswahl_scu_caf_dict[file_scu_caf,'size']:self.Auswahl_scu_caf_dict[file_scu_caf,'date']=zf.getinfo(filename).date_timeself.Auswahl_scu_caf_dict[file_scu_caf,'size']=zf.getinfo(filename).file_sizeself.Auswahl_scu_caf_dict[file_scu_caf,'zipfile']=zfileelse:self.Auswahl_scu_caf_dict[file_scu_caf,'fullname']=filenameself.Auswahl_scu_caf_dict[file_scu_caf,'date']=zf.getinfo(filename).date_timeself.Auswahl_scu_caf_dict[file_scu_caf,'size']=zf.getinfo(filename).file_sizeself.Auswahl_scu_caf_dict[file_scu_caf,'zipfile']=zfileself.Auswahl_scu_caf.append(file_scu_caf)#XA123010_2014_02_28_AxTubeInfoBReport.html str2='_AxTubeInfo'+self.plane+'Report.html' if filename.find('XA')>-1 and filename.find(str2)>-1:filedate=self.GetFileDateTubeDat(filename)if filedate>=datetime.datetime(self.startdate.year,self.startdate.month,self.startdate.day,0,0,0) and filedate<=datetime.datetime(self.enddate.year,self.enddate.month,self.enddate.day,23,59,59):tubeinfoname=os.path.basename(filename)if self.AuswahlTubeData_dict.has_key((tubeinfoname,'fullname')):if zf.getinfo(filename).file_size>self.AuswahlTubeData_dict[tubeinfoname,'size']:self.AuswahlTubeData_dict[tubeinfoname,'fullname']=filenameself.AuswahlTubeData_dict[tubeinfoname,'date']=zf.getinfo(filename).date_timeself.AuswahlTubeData_dict[tubeinfoname,'size']=zf.getinfo(filename).file_sizeself.AuswahlTubeData_dict[tubeinfoname,'zipfile']=zfileelse:self.AuswahlTubeData_dict[tubeinfoname,'fullname']=filenameself.AuswahlTubeData_dict[tubeinfoname,'date']=zf.getinfo(filename).date_timeself.AuswahlTubeData_dict[tubeinfoname,'size']=zf.getinfo(filename).file_sizeself.AuswahlTubeData_dict[tubeinfoname,'zipfile']=zfileself.AuswahlTubeData.append(tubeinfoname)except:print "Error extracing eventlog from zip!" self.Auswahl=sorted(self.Auswahl)self.AuswahlEnvLogs=sorted(self.AuswahlEnvLogs)self.AuswahlTubeData=sorted(self.AuswahlTubeData)self.AuswahlExamSet=sorted(self.AuswahlExamSet)self.AuswahlIVS_Systemlog=sorted(self.AuswahlIVS_Systemlog)self.Auswahl_scu_caf=sorted(self.Auswahl_scu_caf)self.Auswahl_axiserr=sorted(self.Auswahl_axiserr)if (self.plane=='A' or (self.plane=='B' and self.no_plane_B_found==0)) and caf_found: #Start Auswertungself.TubeSerialNumList=self.getTubeSerialNumber() try: self.TubeSerialNum= (self.TubeSerialNumList[-1])[1]except:self.TubeSerialNum='n.a.'####try:datastr=''old_SN='n.a.'SN_txt=[]old_BE=0old_date=''for i, (date,SN,BE) in enumerate(self.TubeSerialNumList):if i==0:old_SN=SNold_BE=BEold_date=dateif SN!=old_SN:SN_txt.append((old_date,old_SN,old_BE))old_SN=SNold_BE=BEold_date=dateif i==len(self.TubeSerialNumList)-1:SN_txt.append((date,SN,BE))datastr+=','+str(SN_txt).replace(',',' ')except:datastr+=',na'########if self.cb_EnvLog.GetValue():if self.AuswahlEnvLogs!=[]:self.Analyze_EnvironmetalLogs() if False:if self.Auswahl_axiserr!=[]:self.Analyze_AXISerrorlog() self.read_data()self.calc_derived_measurements()self.calc_power_vs_prom()self.save_data()self.show_data()else:print "No caf file found!"else:print "No zip files for SN " +str(SN) +' in period '+ str(self.startdate)+ ' to '+str(self.enddate)+ ' found!'#------------------------------------------------------------------def process_axiom_caf(self,caf_lines,date):for line in caf_lines:#SW Version (will also try to get SW version fom logfile)dat22=re.search(r'SYSTEM_VERSION.+\"(.+)\"',line)if(dat22!=None):self.myXEvent.SW.append((dat22.group(1).replace(' ','_'),date)) #syngo system typedat22=re.search(r'syngo_system_type.+:\s(.+)',line)if(dat22!=None):self.myXEvent.syngo_system_type=dat22.group(1).strip() #countrydat22=re.search(r'COUNTRY.+\"(.+)\"',line)if(dat22!=None):self.myXEvent.country=dat22.group(1).strip().replace('.',' ').replace(';',' ').replace(',',' ') #citydat22=re.search(r'CITY.+\"(.+)\"',line)if(dat22!=None):self.myXEvent.city=dat22.group(1).strip().replace('.',' ').replace(';',' ').replace(',',' ') #------------------------------------------------------------------def process_system_caf(self,caf_lines):self.key_status={}self.key_str=[]self.key_str.append('High Speed 30 fps Module')self.key_str.append('Card Acquisition Module')self.key_str.append('Pediatric Card Acq. Module')self.key_str.append('DSA Acquisition Module')self.key_str.append('Card Sub Acquisition Module')self.key_str.append('CLEARstent')self.key_str.append('CLEARstent Live')self.key_str.append('DR Acquisition Module')self.key_str.append('Perivision')self.key_str.append('DR Stepping')self.key_str.append('Dynavision')self.key_str.append('3D Acquisition')self.key_str.append('3D CARD Acquisition')self.key_str.append('3D HeartSweep Acquisition')self.key_str.append('syngo DynaCT 360')self.key_str.append('syngo DynaCT 100/s')self.key_str.append('DynaCT Micro')self.key_str.append('DR Dynavision')self.key_str.append('Fluoro Loop Module')self.key_str.append('Automap Module')self.key_str.append('Digital Acq. Zoom Module')self.key_str.append('IVUSmap')self.key_str.append('Quant QCA')self.key_str.append('Quant QCA2D with bifurcation')self.key_str.append('Quant QCA3D')self.key_str.append('Quant QVA')self.key_str.append('Left Ventricel Analysis')self.key_str.append('LVA Biplane (key)')self.key_str.append('CD-R Archive Module')self.key_str.append('DICOM Storage')self.key_str.append('DICOM Query')self.key_str.append('ECG-System')self.key_str.append('ECG-Recording Module')self.key_str.append('ECG-gated Fluoro Module')self.key_str.append('MPPS')self.key_str.append('Full Pixel Resolution')self.key_str.append('Patient Data Anonymization')self.key_str.append('Dynamic Reference')self.key_str.append('Scene Recorder')self.key_str.append('Image Quality Setting')done_licences=False for line in caf_lines:if line.find('GROUP Parameters for Preprocessing')>-1:done_licences=True#system shapeif (line.find('System Shape')>-1 )and (line.find('Factory')==-1 ): dat0=re.search(r'.+System Shape\s*:\s*(.+)',line) self.myXEvent.SystemShape=dat0.group(1).strip()#Tubeif (line.rfind('X-Ray Tube')>0 ):if (line.rfind('Megalix 125/15/40/80')>-1 ):self.myXEvent.numFoken=3 #Megalix Cat 3Fself.myXEvent.tubetype=0self.myXEvent.tubetype_str='MegalixCat3F'if (line.rfind('Megalix 125/35/80')>-1 ):self.myXEvent.numFoken=2 #Megalix Cat 2Fself.myXEvent.tubetype=0self.myXEvent.tubetype_str='MegalixCat2F'if (line.rfind('Megalix 125/20/40/80')>-1 ):self.myXEvent.numFoken=3 #Megalix Cat+ 3Fself.myXEvent.tubetype=1self.myXEvent.tubetype_str='MegalixCat+3F'if (line.rfind('Megalix 125/40/90')>-1 ):self.myXEvent.numFoken=2 #Megalix Cat+ 2Fself.myXEvent.tubetype=1self.myXEvent.tubetype_str='MegalixCat+2F'if (line.rfind('GIGALIX 125/40/90-G')>-1 ):self.myXEvent.numFoken=2 #´´Gialix 2Fself.myXEvent.tubetype=2self.myXEvent.tubetype_str='Gigalix2F'if (line.rfind('GIGALIX 125/30/40/90-G')>-1 ):self.myXEvent.numFoken=3 #Gigalix 3Fself.myXEvent.tubetype=2self.myXEvent.tubetype_str='Gigalix3F' #---------FD----------- #FD Type : Midsize Type 2b Detector#FD Type Plane B : Midsize Type 2b Detectortt=re.search(r'FD Type\s*:(.+)',line)if tt!=None:self.myXEvent.FD_A_name=tt.group(1).strip()tt=re.search(r'FD Type Plane B\s*:(.+)',line)if tt!=None:self.myXEvent.FD_B_name=tt.group(1).strip()if (line.rfind('FD Type')>-1 or line.rfind('ii_type')>-1): if(self.plane=='A'):if(line.rfind('Plane B')==-1):if(line.rfind('Midsize Type 2a Detector')>-1):self.myXEvent.FDtype='Midsize Type 2a Detector'elif(line.rfind('Midsize Type 2b Detector')>-1):self.myXEvent.FDtype='Midsize Type 2b Detector' elif (line.rfind('Midsize Trixell Detector')>-1): self.myXEvent.FDtype='Midsize Trixell Detector' else: dat0=re.search(r'.+(\d{4}).+',line)if dat0!=None:self.myXEvent.FDtype=dat0.group(1)else:if line.rfind('fd_a1_rot')>-1:self.myXEvent.FDtype='4700' #'4700'=large FD=fd_a1_rot ; '4800'=small FD; 'Pixium 3040 CV'=large FDelif line.rfind('fd_c2_rot')>-1:self.myXEvent.FDtype='4800' #'4700'=large FD=fd_a1_rot ; '4800'=small FD; 'Pixium 3040 CV'=large FDelse:self.myXEvent.FDtype='n.a.'else: #plane Bself.no_plane_B_found=1if (line.rfind('FD Type Plane B')>-1 or line.rfind('ii_type_b')>-1): if(self.plane=='B'):if(line.rfind('Midsize Type 2a Detector')>-1):self.myXEvent.FDtype='Midsize Type 2a Detector'elif(line.rfind('Midsize Type 2b Detector')>-1):self.myXEvent.FDtype='Midsize Type 2b Detector' else: dat0=re.search(r'.+(\d{4}).+',line)if dat0!=None:self.myXEvent.FDtype=dat0.group(1)else:if line.rfind('fd_a1_rot')>-1:self.myXEvent.FDtype='4700' #'4700'=large FD=fd_a1_rot ; '4800'=small FD; 'Pixium 3040 CV'=large FDelif line.rfind('fd_c2')>-1:self.myXEvent.FDtype='4800' #'4700'=large FD=fd_a1_rot ; '4800'=small FD; 'Pixium 3040 CV'=large FDelse:self.myXEvent.FDtype='n.a.'self.no_plane_B_found=0;#Stand Typeif (line.find('System Type')>-1 )and (line.find('Factory')==-1 ): dat0=re.search(r'.+System Type\s*:\s*([Ceiling Mounted,Floor Mounted,Biplane,Robot Stand,Multipurpose,EAS Floor Mounted]+).*',line) self.myXEvent.SystemType=dat0.group(1)if (line.find('systype')>-1 )and (line.find('Factory')==-1 ): dat0=re.search(r'.systype\s*:\s*([masceilingmounted,masfloormounted,masbiplane,masrobot,masmultipurpose,EAS Floor Mounted]+).*',line) if dat0!=None:tmp_systype=dat0.group(1)if tmp_systype=='masbiplane':self.myXEvent.SystemType='Biplane'elif tmp_systype=='masceilingmounted':self.myXEvent.SystemType='Ceiling Mounted'elif tmp_systype=='masfloormounted':self.myXEvent.SystemType='Floor Mounted'elif tmp_systype=='masrobot':self.myXEvent.SystemType='Robot Stand'elif tmp_systype=='masmultipurpose':self.myXEvent.SystemType='Multipurpose'else:self.myXEvent.SystemType='n.a.'#System SNif (line.find('system ident')>-1 or line.find('syngo_system_ident')>-1):dat0=re.search(r'.+:\s*(\d+).*',line)self.myXEvent.SN=int(dat0.group(1))#------SID Factor & Interventional Reference Point---------if(self.myXEvent.SystemType=='Ceiling Mounted'):self.myXEvent.SID_factor=63.5*63.5/100.0/100.0;self.myXEvent.IR=63.5; #Interventional reference pointif(self.myXEvent.SystemType=='Floor Mounted'):self.myXEvent.SID_factor=60.*60./100.0/100.0;self.myXEvent.IR=60.0; #Interventional reference point if(self.myXEvent.SystemType=='Robot Stand'):self.myXEvent.SID_factor=63.5*63.5/100.0/100.0;self.myXEvent.IR=63.5; #Interventional reference point if(self.myXEvent.SystemType=='Multipurpose'):self.myXEvent.SID_factor=63.5*63.5/100.0/100.0;self.myXEvent.IR=63.5; #Interventional reference point if(self.myXEvent.SystemType=='EAS Floor Mounted'):self.myXEvent.SID_factor=63.5*63.5/100.0/100.0;self.myXEvent.IR=63.5; #Interventional reference point if(self.myXEvent.SystemType=='Biplane'): #nur in Ebene B; A identisch zu Floor Standif(self.plane=='A'):self.myXEvent.IR=60.0 self.myXEvent.SID_factor=60.0*60.0/100.0/100.0else: #plane=='B'self.myXEvent.IR=60.0; #defaultself.myXEvent.SID_factor=60.0*60.0/100.0/100.0#Line resistance if line.find('Line Resistance ')>-1:dat0=re.search(r'.+:\s*(\d+).*',line)self.line_resistance=dat0.group(1) #Line voltage if line.find('Line Voltage ')>-1 and line.find('Present ')==-1:dat0=re.search(r'.+:\s*(\d+).*',line)self.line_voltage=dat0.group(1) if done_licences==False: for key in self.key_str :if line.find(key)>-1:self.key_status[key]=line.split(':')[-1].strip()if self.myXEvent.SystemType!='Biplane':self.no_plane_B_found=1return #------------------------------------------------------------------def get_dose_efficiency_nominal(self): #dient zur Datum-Auswahl#Sollwerte Dosisausbeuteif self.myXEvent.tubetype == 0: #Megalix Catif self.myXEvent.numFoken == 2:soll=110 else:soll=127 if self.myXEvent.tubetype == 1: #Megalix Cat+if self.myXEvent.numFoken == 2:soll=121else:soll=141if self.myXEvent.tubetype == 2: #Gigalixif self.myXEvent.numFoken == 2:soll=126else:soll=136 return soll #------------------------------------------------------------------#------------------------------------------------------------------ def read_data(self): #VC14 Todo: other SW Versionsself.myXEvent.BE_F1[0]=0;self.myXEvent.BE_F2[0]=0;self.myXEvent.BE_FG[0]=0;patient_number=0new_pat=1 #Annahme, dass Log immer mit neuem Patienten anfaengtnew_day=0old_time=0self.usedSWs=[]self.ACQ_set={}self.FL_set={}self.RM_set={}self.ALT_set={}self.ACQ_ogps=set([])self.FL_ogps=set([])self.RM_ogps=set([])self.ALT_ogps=set([])self.acq_params=[]self.fl_params=[]self.rm_params=[]self.alt_params=[]self.ogp_diff={}self.ogp_new={}self.ogp_del={}self.ogp_change={}self.Leo=set([])self.Leo_SW=set([])self.pat_position=[]try: #test id envlog data is available and convert string to datetime objeckt listenvtime2d= [dateutil.parser.parse(x) for x in self.envtime2]except:envtime2d=[]global total_eventsglobal Datum_arrayglobal Startzeitglobal Timeglobal Tagglobal Jahrglobal Monatglobal Sekundenglobal Minutenglobal Stundenglobal alternative_acquisitionglobal TIMEglobal event_datestotal_events = []alternative_acquisition = []Datum_array = []Startzeit = []Time = []Stunden = []Minuten = []Sekunden = []Tag = []Monat = []Jahr = []TIME = []event_dates =[]global preview_cran #preview-Werteglobal preview_raoglobal preview_SIDglobal preview_review #vergleicht preview und review-Werte von cran/rao/SID; Wert=0 falls preview und review bei allen drei identisch, ansonsten Wert=1global prev_table_posglobal rev_table_posglobal review_SID #review-Werteglobal review_raoglobal review_cranglobal scu_raoglobal scu_cranglobal scu_sidglobal scu_timeglobal scu_gantry_rotglobal scu_base_rotglobal scu_gantry_longglobal scu_camera_rotglobal scu_collim_rotglobal scu_table_tiltglobal scu_table_rotglobal scu_table_cradleglobal scu_T1global scu_T2global scu_T3global scu_carm_rotglobal scu_carm_orbglobal alpha_orbglobal xray_vec_zglobal alpha_orb_robglobal alpha_xray_robotglobal scu_224_timeglobal scu_224_robot_anglesglobal time_between_xrayglobal vertical_tube_timeglobal all_HU #count HU also during service x-ray (Review and Preview)global all_HU_timeprev_table_pos=np.array([0,0,0])rev_table_pos=np.array([0,0,0])preview_cran = []preview_rao = []preview_SID = []preview_review = []review_SID = []review_cran = []review_rao = []all_HU =[]all_HU_time=[]scu_rao=[]scu_cran=[]scu_camera_rot=[]scu_collim_rot=[] scu_sid=[]scu_time=[]scu_table_tilt=[]scu_table_rot=[]scu_table_cradle=[]scu_gantry_rot=[]scu_base_rot=[]scu_gantry_long=[]scu_T1=[]scu_T2=[]scu_T3=[]scu_carm_rot=[]scu_carm_orb=[]alpha_orb=[]xray_vec_z=[]alpha_orb_rob=[]alpha_xray_robot=[] #for debugscu_224_time=[]scu_224_robot_angles=[]time_between_xray=[]vertical_tube_time=0#Arcingglobal arcing_timeglobal num_arcingglobal num_arcing_totglobal arcing_time_globalglobal arcing_type_globalglobal arcing_kV_globalglobal arcing_mA_globalglobal arcing_ms_globalglobal arcing_foc_globalglobal arcing_frame_globalglobal arcing_ogp_globalglobal arcing_HU_globalglobal arcing_idx_globalglobal num_T1_arcingglobal T1_arcing_timeglobal T1_arcing_time_globalglobal num_gridglobal grid_time_globalglobal num_grid_totglobal transfer_dynamicsarcing_time = []arcing_type = []arcing_frame = []num_arcing = []num_arcing_tot = 0 #all arcings, even if event is dropped due to format errorsarcing_time_global = []arcing_type_global = []arcing_kV_global = []arcing_mA_global = []arcing_ms_global = []arcing_foc_global = []arcing_frame_global =[]arcing_ogp_global =[]arcing_HU_global =[]arcing_idx_global =[]num_T1_arcing = []T1_arcing_time = []T1_arcing_time_global = []transfer_dynamics=[]grid_time = []grid_type = []grid_frame = []num_grid = []num_grid_tot = 0 #all arcings, even if event is dropped due to format errorsgrid_time_global = []grid_type_global = []#Statische Lernparameterglobal L1global L2global S1global S2global M1global M2global L3global M3global S3global Lernparameter_datumL1 = []L2 = []S1 = []S2 = []M1 = []M2 = []M3 = []S3 = []L3 = []Lernparameter_datum = []#Errors & Warningsglobal rac_opglobal power_onglobal power_offglobal cooling_stateglobal cooling_timeglobal cooling_ontimeglobal service_startglobal service_stopglobal fingerfilter_inglobal filter_resetglobal TUBE_ADJUSTglobal NO_XRAYglobal TUBE_CONDITIONINGglobal LESS_FRAMESglobal PUN_ERRglobal MMT_warning #possible wrong cabeling of MMT at Gigalix (coincidence of Warn_5112_WARNING_OVERLOAD and Info_5113_INFO_ITACT_SHUNTglobal bypass_flglobal generator_typeglobal generatorglobal FPGA_F2_ErrPUN_ERR={}#remark: arcing (Warn_5016_SCAN_WARNING 0x5016) wird auch separat behandeltPUN_ERR['Info_9192_MICRO_FOCUS_NOT_FUNCTIONAL']=[]PUN_ERR['Info_9191_SMALL_FOCUS_NOT_FUNCTIONAL']=[]PUN_ERR['Info_9190_LARGE_FOCUS_NOT_FUNCTIONAL']=[]PUN_ERR['Info_9188_GRID_NOT_FUNCTIONAL']=[]PUN_ERR['Info_5113_INFO_ITACT_SHUNT']=[]PUN_ERR['Warn_9170_IT_TOLERANZ_WARNING']=[]PUN_ERR['Warn_5081_FIL_WARNING']=[]PUN_ERR['Warn_5112_WARNING_OVERLOAD']=[]PUN_ERR['Warn_5115_TUBE_READJUST']=[]PUN_ERR['Warn_9131_TUBE_TEMPERATURE']=[]PUN_ERR['Warn_9132_TUBE_TEMPERATURE_2']=[]PUN_ERR['Warn_9170_IT_TOLERANZ_WARNING']=[]PUN_ERR['Warn_5150_ANODE_FREQ_WARNING']=[]PUN_ERR['Warn_5061_TEMPERATURE_WARNING_RAC']=[]PUN_ERR['Warn_5016_SCAN_WARNING']=[]PUN_ERR['Err_5000_P_kV']=[]PUN_ERR['Err_5001_N_kV']=[]PUN_ERR['Err_5002_DELTA_KV']=[]PUN_ERR['Err_5003_ILOAD']=[]PUN_ERR['Err_5004_HVT_PREASURE']=[]PUN_ERR['Err_5005_POWER']=[]PUN_ERR['Err_5008_D600']=[]PUN_ERR['Err_5009_D601_DL']=[]PUN_ERR['Err_5010_IMAX_INVERTER_1']=[]PUN_ERR['Err_5011_IMAX_INVERTER_2']=[]PUN_ERR['Err_5012_UBMAX_INVERTER_1']=[]PUN_ERR['Err_5013_UBMAX_INVERTER_2']=[]PUN_ERR['Err_5014_TEMPERATURE_HVT']=[]PUN_ERR['Err_5015_XRAY_ON']=[] PUN_ERR['Err_5017_UT_TOLERANZ']=[]PUN_ERR['Err_5018_IT_TOLERANZ']=[]PUN_ERR['Err_5019_OPERATOR']=[]PUN_ERR['Err_5020_K1']=[]PUN_ERR['Err_5021_K2']=[]PUN_ERR['Err_5022_UDC']=[]PUN_ERR['Err_5023_RAC_OP']=[] PUN_ERR['Err_5024_XC_INIT']=[]PUN_ERR['Err_5025_XC_INCONSISTENT']=[]PUN_ERR['Err_5027_TUBE_LEARN']=[]PUN_ERR['Err_5030_TEMP_INVERTER_1']=[]PUN_ERR['Err_5031_TEMPERATURE_INVERTER_2']=[]PUN_ERR['Err_5032_TEMPERATURE_WARNING_INVERTER_1']=[]PUN_ERR['Err_5033_TEMPERATURE_WARNING_INVERTER_2']=[] PUN_ERR['Err_5034_TEMPERATURE_WARNING_HVT']=[]PUN_ERR['Err_5035_DOOR']=[]PUN_ERR['Err_5036_D601']=[] PUN_ERR['Err_5037_INVERTER_1']=[]PUN_ERR['Err_5038_INVERTER_2']=[]PUN_ERR['Err_5041_POWER_INVERTER_1']=[]PUN_ERR['Err_5042_POWER_INVERTER_2']=[]PUN_ERR['Err_5043_LIFE_CHECK_RAC']=[]PUN_ERR['Err_5044_LIFE_CHECK_FIL']=[]PUN_ERR['Err_5047_IMAX']=[] PUN_ERR['Err_5048_INV']=[]PUN_ERR['Err_5056_D600_S5']=[] PUN_ERR['Err_5059_TEMPERATURE_AMB']=[]PUN_ERR['Err_5062_ERROR_TEMPERATURE_RAC']=[]PUN_ERR['Err_5063_UDC_WARNING']=[]PUN_ERR['Err_5064_UDC_WARNING_EX']=[]PUN_ERR['Err_5065_STOP']=[]PUN_ERR['Err_5066_T_DELTA_INVERTER']=[]PUN_ERR['Err_5067_T_DELTA_L']=[] PUN_ERR['Err_5070_GEN_D601_HW_RAC']=[]PUN_ERR['Err_5071_D470_LARGE_FOCUS_MISSING']=[] PUN_ERR['Err_5072_D470_SMALL_FOCUS_MISSING']=[]PUN_ERR['Err_5073_D470_MICRO_FOCUS_MISSING']=[]PUN_ERR['Err_5074_D470_LARGE']=[]PUN_ERR['Err_5075_D470_SMALL']=[]PUN_ERR['Err_5076_D470_MICRO']=[]PUN_ERR['Err_5077_D601_FIL_UDC']=[]PUN_ERR['Err_5079_D601_FIL_XRAY_ON']=[] PUN_ERR['Err_5080_FIL_D601_D600']=[] PUN_ERR['Err_5082_D470_EX_LARGE']=[]PUN_ERR['Err_5083_D470_EX_SMALL']=[]PUN_ERR['Err_5084_D470_EX_MICRO']=[]PUN_ERR['Err_5085_RTC_FIL']=[]PUN_ERR['Err_5089_HS']=[]PUN_ERR['Err_5094_D115']=[]PUN_ERR['Err_5097_GRID_HW_NOT_PLUGGED_IN']=[] PUN_ERR['Err_5098_GIGALIX_LEAKAGE_CURRENT']=[]PUN_ERR['Err_5099_GRID_NOT_READY']=[] PUN_ERR['Err_509B_GRID_HV']=[] PUN_ERR['Err_509C_GRID_OPEN_HV']=[]PUN_ERR['Err_509D_GRID_SHORT_HV']=[]PUN_ERR['Err_509E_GRID_BROKEN_HV']=[]PUN_ERR['Err_509F_GRID_NOT_READY_ARC_RECOVER']=[]PUN_ERR['Err_50A0_GRID_NO_HV']=[]PUN_ERR['Err_50A1_GRID_OPEN_NO_HV']=[]PUN_ERR['Err_50A2_GRID_SHORT_NO_HV']=[] PUN_ERR['Err_50A3_GRID_BROKEN_NO_HV']=[] PUN_ERR['Err_50A4_GRID_ISR_CHECK']=[] PUN_ERR['Err_50AF_CAN_GUARDING']=[]PUN_ERR['Err_50B8_CAN_GUARDING']=[]PUN_ERR['Err_50B9_CAN_GUARDING']=[]PUN_ERR['Err_5101_VCC']=[]PUN_ERR['Err_5103_D601_RAC_UDC']=[]PUN_ERR['Err_5104_D601_24V']=[]PUN_ERR['Err_5114_HVT']=[] PUN_ERR['Err_5117_GEN_D601_HW_FIL']=[]PUN_ERR['Err_5120_UT_MAX_FPGA']=[]PUN_ERR['Err_5124_IT_OFFSET_NOT_JUST']=[]PUN_ERR['Err_5170_SERLINK']=[]PUN_ERR['Err_6028_GENERATOR_NOT_ADJUSTED']=[]PUN_ERR['Err_6029_DUMMY_RAC']=[]PUN_ERR['Err_6045_RAC_NOT_STARTED']=[] PUN_ERR['Err_6046_FIL_NOT_STARTED']=[] PUN_ERR['Err_6050_TIM_FW']=[]PUN_ERR['Err_6051_HW_FW']=[]PUN_ERR['Err_6052_DUMMY_FW']=[]PUN_ERR['Err_6053_GEN_FW']=[]PUN_ERR['Err_6057_D601_RAC_CPU_CRC']=[]PUN_ERR['Err_6058_D601_FIL_CPU_CRC']=[]PUN_ERR['Err_6069_GEN_D601_FW_FIL']=[] PUN_ERR['Err_6086_D601_FIL_CRC_WARN']=[]PUN_ERR['Err_6096_UNK_ERROR_DUMMY']=[]PUN_ERR['Err_6097_UNK_ERROR_GEN']=[]PUN_ERR['Err_6098_UNK_ERROR_HW']=[] PUN_ERR['Err_6099_UNK_ERROR_TIM']=[] PUN_ERR['Err_6100_GEN_D601_FW_RAC']=[]PUN_ERR['Err_6105_D601_RAC_CRC_WARN']=[]PUN_ERR['Err_6111']=[] # FIRMWARE (A100) Unknown user driver layer error code </i> <sup>CSA</sup>PUN_ERR['Err_6200_CRC_ERROR_USERFW']=[]PUN_ERR['Err_7110_CAN_DATA_(A100)_normal_limits']=[]PUN_ERR['Err_7111_CAN_DATA_(A100)_reduced_limits']=[]PUN_ERR['Err_8113_CAN_DATA']=[]PUN_ERR['Err_8115_CAN_DATA']=[]PUN_ERR['Err_8117_CAN_DATA']=[]PUN_ERR['Err_8118_CAN_NOT_ALLOWED']=[]PUN_ERR['Err_811A_CAN_DATA']=[] PUN_ERR['Err_811B_CAN_NOT_ALLOWED']=[]PUN_ERR['Err_811C_CAN_NOT_ALLOWED']=[]PUN_ERR['Err_9110_DOORSWITCH_OPEN']=[]PUN_ERR['Err_9121_TUBE']=[]PUN_ERR['Err_9122_TUBE_2_OIL_PRESSURE_SWITCH']=[]PUN_ERR['Err_9142_GIGALIX_S3']=[] PUN_ERR['Err_9148_GIGALIX_DELTA_TEMP']=[]PUN_ERR['Err_9162_GIGALIX_CABLE']=[]PUN_ERR['Err_9180_RAC_NOT_FUNCTIONAL']=[]PUN_ERR['Err_9191_SMALL_FOCUS_NOT_FUNCTIONAL']=[]PUN_ERR['Err_9198_LARGE_FOCUS_BLOCKED']=[]PUN_ERR['Err_9199_SMALL_FOCUS_BLOCKED']=[]PUN_ERR['Err_919A_MICRO_FOCUS_BLOCKED']=[] PUN_ERR['Err_920F_CAN_NOT_ALLOWED']=[] MMT_warning=[]generator_type=[]generator=[]#Info_9192_MICRO_FOCUS_NOT_FUNCTIONAL (A100) CSA#Info_9191_SMALL_FOCUS_NOT_FUNCTIONAL (A100) CSA#Info_9190_LARGE_FOCUS_NOT_FUNCTIONAL (A100) CSA#Info_9188_GRID_NOT_FUNCTIONAL (A100) CSA#Info_5113_INFO_ITACT_SHUNT CSA#Info_9180_RAC_NOT_FUNCTIONAL (A100) Too many errors occurred in the rotating anode mode CSA #Warn_9170_IT_TOLERANZ_WARNING (A100) Tube current tolerance warning RELEVANT#Warn_5081_FIL_WARNING (A100) Warning from D601 filament control #Warn_5112_WARNING_OVERLOAD TUBE (A100) RELEVANT#Warn_5115_TUBE_READJUST (A100) Tube adjustment necessary RELEVANT#Warn_9131_TUBE_TEMPERATURE (A100) Temperature switch of the X-ray tube unit signals over-temperature RELEVANT#Warn_9132_TUBE_TEMPERATURE_2 (A100) Temperature switch of the X-ray tube signals over-temperature RELEVANT#Warn_5150_ANODE_FREQ_WARNING (A100) Actual anode frequency below threshold CSA#Warn_9170_IT_TOLERANZ_WARNING (A100) Tube current tolerance warning RELEVANT #Warn_5061_TEMPERATURE_WARNING_RAC (A100) D115 warning temperature monitoring has responded CSA#Err_5000_P_kV (A100) +KVmax </i> <sup>RELEVANT</sup>#Err_5001_N_kV (A100) -KVmax </i> <sup>RELEVANT</sup>#Err_5002_DELTA_KV (A100) +KV < > -KV </i> <sup>RELEVANT</sup>#Err_5003_ILOAD (A100) Over current D510 </i> <sup>RELEVANT</sup>#Err_5004_HVT_PREASURE (A100) Overpressure in the High Voltage Transformer </i> <sup>RELEVANT</sup>#Err_5005_POWER (A100) Power Supply Volatge out of tolerance </i> <sup>RELEVANT</sup>#Err_5008_D600 (A100) Hardware error D600 </i> <sup>RELEVANT</sup>#Err_5009_D601_DL (A100) Download error D601 </i> <sup>RELEVANT</sup>#Err_5010_IMAX_INVERTER_1 (A100) Imax was detected on D510_1 </i> <sup>RELEVANT</sup>#Err_5011_IMAX_INVERTER_2 (A100) Imax was detected on D510_2 </i> <sup>RELEVANT</sup>#Err_5012_UBMAX_INVERTER_1 (A100) Overvoltage (IGBTs) Inverter D510_1 </i> <sup>RELEVANT</sup>#Err_5013_UBMAX_INVERTER_2 (A100) Overvoltage (IGBTs) Inverter D510_2 </i> <sup>RELEVANT</sup>#Err_5014_TEMPERATURE_HVT (A100) Temperature switch High Voltage Transformer active </i> <sup>RELEVANT</sup>#Err_5015_XRAY_ON (A100) No High Voltage </i> <sup>RELEVANT</sup>#Err_5017_UT_TOLERANZ (A100) High Voltage tolerance error </i> <sup>RELEVANT</sup>#Err_5018_IT_TOLERANZ (A100) Tube current tolerance error </i> <sup>RELEVANT</sup>#Err_5019_OPERATOR (A100) Adjustment interrupted by the operator </i> <sup>CSA</sup>#Err_5020_K1 (A100) Problem with the K1 main contactor </i> <sup>RELEVANT</sup>#Err_5021_K2 (A100) Problem with the K2 Charge contactor </i> <sup>RELEVANT</sup>#Err_5022_UDC (A100) Intermediate Circuit Voltage error </i> <sup>RELEVANT</sup>#Err_5023_RAC_OP (A100) Rotating Anode Circuit error </i> <sup>RELEVANT</sup>#Err_5024_XC_INIT Hardware radiation request during initialization </i> <sup>RELEVANT</sup>#Err_5025_XC_INCONSISTENT SWR Radiation request not equal to CAN request </i> <sup>RELEVANT</sup>#Err_5027_TUBE_LEARN (A100) Tube Adjustment error </i> <sup>RELEVANT</sup>#Err_5030_TEMP_INVERTER_1 (A100) Temperature switch Inverter D510_1 active </i> <sup>RELEVANT</sup>#Err_5031_TEMPERATURE_INVERTER_2 (A100) Temperature switch Inverter D510_2 active </i> <sup>RELEVANT</sup>#Err_5032_TEMPERATURE_WARNING_INVERTER_1 (A100) D510_1 temperature monitoring has responded </i> <sup>CSA</sup>#Err_5033_TEMPERATURE_WARNING_INVERTER_2 (A100) D510_2 temperature monitoring has responded </i> <sup>CSA</sup>#Err_5034_TEMPERATURE_WARNING_HVT (A100) High Voltage Transformer </i> <sup>CSA</sup>#Err_5035_DOOR (A100) Door signal active </i> <sup>RELEVANT</sup>#Err_5036_D601 (A100) Error on D601 </i> <sup>RELEVANT</sup>#Err_5037_INVERTER_1 (A100) Error on D510_1 </i> <sup>RELEVANT</sup>#Err_5038_INVERTER_2 (A100) Error on D510_2 </i> <sup>RELEVANT</sup>#Err_5041_POWER_INVERTER_1 (A100) Power supply voltage error +15V on D510_1 </i> <sup>RELEVANT</sup>#Err_5042_POWER_INVERTER_2 (A100) Power supply voltage error +15V on D510_2 </i> <sup>RELEVANT</sup>#Err_5043_LIFE_CHECK_RAC (A100) Live check between D600 and D601 RAC CPU failed </i> <sup>RELEVANT</sup>#Err_5044_LIFE_CHECK_FIL (A100) Live check between D600 and D601 FIL CPU failed </i> <sup>RELEVANT</sup>#Err_5047_IMAX (A100) Over current D510 </i> <sup>RELEVANT</sup>#Err_5048_INV (A100) Error on D510_1 or D510_2 </i> <sup>RELEVANT</sup>#Err_5056_D600_S5 (A100) Switch D600.S5 set incorrectly </i> <sup>RELEVANT</sup>#Err_5059_TEMPERATURE_AMB (A100) D600 max. temperature monitoring has responded </i> <sup>RELEVANT</sup>#Err_5062_ERROR_TEMPERATURE_RAC (A100) D115 max. temperature monitoring has responded </i> <sup>RELEVANT</sup>#Err_5063_UDC_WARNING (A100) Intermediate circuit voltage out of range during standby </i> <sup>CSA</sup>#Err_5064_UDC_WARNING_EX (A100) Intermediate circuit voltage out of range during exposure </i> <sup>CSA</sup>#Err_5065_STOP (A100) D601 stop signal is active </i> <sup>RELEVANT</sup>#Err_5066_T_DELTA_INVERTER_ (A100) Temperature difference between Inverter D510_1 and D510_2 </i> <sup>RELEVANT</sup>#Err_5067_T_DELTA_L (A100) Temperature difference between Coil L1 and L2 </i> <sup>RELEVANT</sup>#Err_5070_GEN_D601_HW_RAC (A100) Hardware error on D601 detected in anode control </i> <sup>RELEVANT</sup>#Err_5071_D470_LARGE_FOCUS_MISSING (A100) Control of the D470_2 (large focus) defective </i> <sup>RELEVANT</sup>#Err_5072_D470_SMALL_FOCUS_MISSING (A100) Control of the D470_1 (small focus) defective </i> <sup>RELEVANT</sup>#Err_5073_D470_MICRO_FOCUS_MISSING (A100) Control of the D470_3 (micro focus) defective </i> <sup>RELEVANT</sup>#Err_5074_D470_LARGE (A100) D470_2 Large focus defective </i> <sup>RELEVANT</sup>#Err_5075_D470_SMALL (A100) D470_1 Small focus defective </i> <sup>RELEVANT</sup>#Err_5076_D470_MICRO (A100) D470_3 Micro focus defective </i> <sup>RELEVANT</sup>#Err_5077_D601_FIL_UDC (A100) Intermediate circuit voltage error detected on D601 </i> <sup>RELEVANT</sup>#Err_5079_D601_FIL_XRAY_ON (A100) D601 detected an active radiation signal outside of the exposure cycle </i> <sup>RELEVANT</sup>#Err_5080_FIL_D601_D600 (A100) D601 FIL CPU has detected an invalid signal from the D600 </i> <sup>RELEVANT</sup>#Err_5082_D470_EX_LARGE (A100) D470_2 Large Focus signaled an error during operation </i> <sup>RELEVANT</sup>#Err_5083_D470_EX_SMALL (A100) D470_1 Small focus signaled an error during operation </i> <sup>RELEVANT</sup>#Err_5084_D470_EX_MICRO (A100) D470_3 The micro focus signaled an error during operation </i> <sup>RELEVANT</sup>#Err_5085_RTC_FIL (A100) The radiation request signal was active during initialization </i> <sup>RELEVANT</sup>#Err_5089_HS (A100) High voltage error </i> <sup>RELEVANT</sup>#Err_5094_D115 (A100) Error was detected on the D115 </i> <sup>RELEVANT</sup>#Err_5097_GRID_HW_NOT_PLUGGED_IN (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_5098_GIGALIX_LEAKAGE_CURRENT (A100G) Tube current between XRAY pulses too high </i> <sup>RELEVANT</sup>#Err_5099_GRID_NOT_READY (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_509B_GRID_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_509C_GRID_OPEN_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_509D_GRID_SHORT_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_509E_GRID_BROKEN_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_509F_GRID_NOT_READY_ARC_RECOVER (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50A0_GRID_NO_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50A1_GRID_OPEN_NO_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50A2_GRID_SHORT_NO_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50A3_GRID_BROKEN_NO_HV (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50A4_GRID_ISR_CHECK (A100G) Error within grid control </i> <sup>RELEVANT</sup>#Err_50AF_CAN_GUARDING (A100) Problems with CAN Guarding in the standby mode </i> <sup>CSA</sup>#Err_50B8 CAN_GUARDING (A100) Problems with CAN Guarding during exposure </i> <sup>RELEVANT</sup>#Err_50B9_CAN_GUARDING (A100) CAN communication dropped out during exposure / fluoroscopy </i> <sup>RELEVANT</sup>#Err_5101_VCC Power supply voltage error on the D601 and D600 (A100 Plus/A100G only) </i> <sup>RELEVANT</sup>#Err_5103_D601_RAC_UDC (A100) Intermediate circuit voltage error detected on D601 </i> <sup>RELEVANT</sup>#Err_5104_D601_24V (A100) 24V Power supply voltage error on the D601 </i> <sup>RELEVANT</sup>#Err_5114_HVT (A100) High Voltage Transformer error </i> <sup>RELEVANT</sup>#Err_5117_GEN_D601_HW_FIL (A100) Hardware error on D601 detected in filament control </i> <sup>RELEVANT</sup>#Err_5120_UT_MAX_FPGA (A100G/Plus) FPGA detects tube voltage too high </i> <sup>RELEVANT</sup>#Err_5124_IT_OFFSET_NOT_JUST (A100G/A100 Plus) Error during auto adjust of IT-actual </i> <sup>RELEVANT</sup>#Err_5170_SERLINK (A100G/Plus) SLINK Communication Error between D600 and D601 </i> <sup>RELEVANT</sup>#Err_6028_GENERATOR_NOT_ADJUSTED (A100) Inverter Adjustment missing </i> <sup>RELEVANT</sup>#Err_6029_DUMMY_RAC (A100) Configuration Error on D600 </i> <sup>RELEVANT</sup>#Err_6045_RAC_NOT_STARTED (A100) RAC CPU did not start </i> <sup>RELEVANT</sup>#Err_6046_FIL_NOT_STARTED (A100) The FIL CPU did not start </i> <sup>RELEVANT</sup>#Err_6050_TIM_FW (A100) Internal firmware error of the timer machine </i> <sup>RELEVANT</sup>#Err_6051_HW_FW (A100) Internal firmware error of the driver layer hardware </i> <sup>RELEVANT</sup>#Err_6052_DUMMY_FW (A100) Internal firmware error of the dummy driver </i> <sup>RELEVANT</sup>#Err_6053_GEN_FW (A100) Internal firmware error of the generator machine </i> <sup>RELEVANT</sup>#Err_6057_D601_RAC_CPU_CRC (A100) Checksum error of the RAC CPU D601 </i> <sup>CSA</sup>#Err_6058_D601_FIL_CPU_CRC (A100) Checksum error of the FIL CPU D601 </i> <sup>CSA</sup>#Err_6069_GEN_D601_FW_FIL (A100) D601 FIL CPU firmware error </i> <sup>RELEVANT</sup>#Err_6086_D601_FIL_CRC_WARN (A100) FIL CPU Firmware checksum error </i> <sup>CSA</sup>#Err_6096_UNK_ERROR_DUMMY (A100) </i> <sup>RELEVANT</sup>#Err_6097_UNK_ERROR_GEN (A100) Unknown generator driver layer firmware error code </i> <sup>RELEVANT</sup>#Err_6098_UNK_ERROR_HW (A100) Unknown hardware driver layer error code </i> <sup>RELEVANT</sup>#Err_6099_UNK_ERROR_TIM (A100) Unknown machine timer code error </i> <sup>RELEVANT</sup>#Err_6100_GEN_D601_FW_RAC (A100) Firmware error of the D601 RAC CPU </i> <sup>RELEVANT</sup>#Err_6105_D601_RAC_CRC_WARN (A100) RAC CPU Firmware checksum error </i> <sup>RELEVANT</sup>#Err_6111 FIRMWARE (A100) Unknown user driver layer error code </i> <sup>CSA</sup>#Err_6200_CRC_ERROR_USERFW (A100) Boot firmware error message, no user software available </i> <sup>RELEVANT</sup>#Err_7110 CAN_DATA (A100) Generator signals normal limit values </I>#Err_7111 CAN_DATA (A100) Generator signals reduced limit values </I>#Err_8113 CAN_DATA (A100) Required focus does not exist for the X-ray tube </i> <sup>RELEVANT</sup>#Err_8118 CAN_NOT_ALLOWED (A100) An attempt was made to trigger an exposure without a preceding data telegram (kV / mA) </i> <sup>RELEVANT</sup>#Err_811A CAN_DATA (A100) The tube data table is invalid </i> <sup>RELEVANT</sup>#Err_811B_CAN_NOT_ALLOWED (A100) The transferred line voltage is greater than 480V </i> <sup>RELEVANT</sup>#Err_811C CAN_NOT_ALLOWED (A100) The transferred internal line resistance is greater than 260 mOhm </i> <sup>RELEVANT</sup>#Err_9110 DOORSWITCH_OPEN (A100) Generator detects an open door contact </i> <sup>RELEVANT</sup>#Err_9121_TUBE (A100) Oil pressure switch of X-Ray tube active </i> <sup>RELEVANT</sup>#Err_9122_TUBE_2 (A100) Oil pressure switch of X-Ray tube active </i> <sup>RELEVANT</sup>#Err_9138_RAC_OP (A100) Error during RAC operation with OPTITOP </i> <sup>RELEVANT</sup>#Err_9142_GIGALIX_S3 (A100G) Temperature switch S3 of Gigalix tube active </i> <sup>RELEVANT</sup>#Err_9148_GIGALIX_DELTA_TEMP (A100G) Temperature difference of Gigalix tube T0 and T1 too high </i> <sup>RELEVANT</sup>#Err_9162_GIGALIX_CABLE (A100G) Cable error of Gigalix tube </i> <sup>RELEVANT</sup>#Err_9198 LARGE_FOCUS_BLOCKED (A100) </i> <sup>RELEVANT</sup>#Err_9199 SMALL_FOCUS_BLOCKED (A100) </i> <sup>RELEVANT</sup>#Err_919A MICRO_FOCUS_BLOCKED (A100) </i> <sup>RELEVANT</sup>#Err_920F CAN_NOT_ALLOWED (A100) An adjustment was initiated in the normal mode </i> <sup>CSA</sup>###-----AX_ANG-Erros and Warnings------global ANG_ERRANG_ERR={}ANG_ERR['\t4\tAX_ANG']=[]ANG_ERR['\t21\tAX_ANG']=[]ANG_ERR['\t51\tAX_ANG']=[]ANG_ERR['\t50\tAX_ANG']=[] ANG_ERR['\t53\tAX_ANG']=[]ANG_ERR['\t60\tAX_ANG']=[]ANG_ERR['212\tAX_ANG']=[]#ANG_ERR['255\tAX_ANG']=[]ANG_ERR['251\tAX_ANG']=[]ANG_ERR['290\tAX_ANG']=[]ANG_ERR['292\tAX_ANG']=[]ANG_ERR['293\tAX_ANG']=[]ANG_ERR['298\tAX_ANG']=[]ANG_ERR['302\tAX_ANG']=[]ANG_ERR['449\tAX_ANG']=[]ANG_ERR['451\tAX_ANG']=[]ANG_ERR['452\tAX_ANG']=[]ANG_ERR['461\tAX_ANG']=[]ANG_ERR['463\tAX_ANG']=[]ANG_ERR['598\tAX_ANG']=[]ANG_ERR['599\tAX_ANG']=[]ANG_ERR['609\tAX_ANG']=[]ANG_ERR['620\tAX_ANG']=[]ANG_ERR['622\tAX_ANG']=[]ANG_ERR['623\tAX_ANG']=[]ANG_ERR['625\tAX_ANG']=[]ANG_ERR['626\tAX_ANG']=[]ANG_ERR['627\tAX_ANG']=[]ANG_ERR['635\tAX_ANG']=[]ANG_ERR['640\tAX_ANG']=[]ANG_ERR['\t645\tAX_ANG']=[]ANG_ERR['654\tAX_ANG']=[]ANG_ERR['662\tAX_ANG']=[]ANG_ERR['665\tAX_ANG']=[]ANG_ERR['682\tAX_ANG']=[]#AX_ANG: 4 : Diamentor dont stops at scene end#AX_ANG: 21 : No CAN communication to PUN (SET)#AX_ANG: 50 : High voltage active after pulse end #AX_ANG: 51 : Problem of ANG, XRAY Signal#AX_ANG: 53 : NO XRAY: try again 230#AX_ANG: 60 : Timing problem of ANG#AX_ANG: 212: XRAY aborted: Dose less than 5%#AX_ANG: 213: Possibly wrong dose, CU Prefilter#AX_ANG: 251: NEW VALUES REJECTED: call SC#AX_ANG: 290: UNEXPECTED DATA, call SC#AX_ANG: 292: UNEXPECTED DATA, call SC#AX_ANG: 293: NEW VALUES REJECTED: call SC#AX_ANG: 298: UNEXPECTED DATA: call SC#AX_ANG: 302: DOOR OPEN? XRAY disabled#AX_ANG: 449: TOO MUCH POWER CONSUMPTION - F12#AX_ANG: 450: POWER SUPPLY VOLTAGE out of range#AX_ANG: 451: FAN OF RTC out of order - Check RTC fan#AX_ANG: 452: OVERTEMPERATURE in RTC#AX_ANG: 461: NO XRAY, recovering - Fatal Error of the PUN#AX_ANG: 463: NO XRAY: try again#AX_ANG: 598: No skindose calculation possible#AX_ANG: 599: NO XRAY, please wait#AX_ANG: 609: Skindose adj. pulsed FL needed, SC#AX_ANG: 620: Possibly wrong dose, call SC#AX_ANG: 622: Skindose adj. cont FL needed, SC#AX_ANG: 623: NO XRAY, Bypass Fluoro not possible#AX_ANG: 625: Problem with DC, call Service#AX_ANG: 626: NO XRAY, please wait #AX_ANG: 627: No Xray, Shut down required#AX_ANG: 635: PUN stays on reduced limits#AX_ANG: 640: Improve FL-Image Quality by using High Contrast Fluoro #AX_ANG: 645: wrong xray interrupt sequence#AX_ANG: 654: Diamentor adjustm. needed, SC#AX_ANG: 662: PUN cannot be configured by Angiomatic#AX_ANG: 665: OVERTEMPERATURE in RTC, sensor 2#AX_ANG: 682: Actual current higher than nominal current#AX_ANG: 695: Tube temperature out of range, SCglobal ANG_CUR_DEVANG_CUR_DEV=[]#W 05-Mar-14 09:48:13 255 AX_ANG <I>ANG diagnostic info </I>#Time: 5.3.2014, 09:48:13, Process: C:\AXIOM\Service\bin\Rep.exe_2020,#Text: (05.03.2014 09:48:12) ANG-A SET: [00001]4.Pulse: Current:210.98mA, Nominal:249.46mA, allwd. deviation:15%#--------------------------------------TUBE_ADJUST=[]NO_XRAY=[]TUBE_CONDITIONING= []LESS_FRAMES=[] #less frames than forecast (3D abortion?)global FPGA_ErrorFPGA_Error=[]power_on=[]power_off=[]cooling_state=[]cooling_time=[]cooling_ontime=[]service_start=[]service_stop=[]fingerfilter_in=[]filter_reset=[]bypass_fl=[]#Program Numbers (-1 means 'not defined')prog1F=-1prog2F=-1prog1A=-1prog2A=-1exist_p453=0exist_453=0exist_p391=0exist_391=0acu_exist=0data_391=''data_391p=''rac_op=[]acu_frames=0frames_391=0dap453=0dose453=0scenetime453=0current453=0old_index=''max_iter_reached=Falseactual_OGP='None'actual_kV =0actual_mA =0actual_ms =0actual_HU =0actual_idx =0actual_foc ='none'actual_biplane=0new_pat_position=0temp_pat_skindose=0temp_pat_dap=0act_axis_mode={}act_axis_resolution={}for logfile in self.Auswahl:#eventlog_files: if max_iter_reached==False:tab=self.notebook.GetSelection()if tab==2:blubb=1elif tab==3 or tab==1: #SNszf = zipfile.ZipFile(self.Auswahl_dict[logfile,'zipfile'])print "lese file " + self.Auswahl_dict[logfile,'fullname'] try: fp = zf.open(self.Auswahl_dict[logfile,'fullname']) lines=fp.readlines()fp.close()except:print 'error opening '+ self.Auswahl_dict[logfile,'fullname']lines=''else: #Standardprint "lese file " + logfile #jn# f = open(logfile,'r')lines=f.readlines()for i in numpy.uint32(xrange(1,numpy.uint32(len(lines)))): if(i==1) and logfile==self.Auswahl[0]:new_day=1print '.'####################AX_REP (Get SW version:)#e.g. VB11: 'W 18-Aug-09 06:27:18 6 AX_REP 0 AXIOM-Artis SW VB11M 060529 started as masbiplane from 12314019 ' #e.g. EAS W 28-Jan-13 08:49:18 6 AX_REP EAS SW VA10A 121116 started as not_applicable from XA161985 #dat22=re.search(r'.+(EAS|)\s*SW\s*V([A-Z0-9]+).* started as',lines[i])#if(dat22!=None):# tempSW=dat22.group(1)+'V'+dat22.group(2) # # if(self.myXEvent.SW==''): #erstes Logfile# self.myXEvent.SW=tempSW# else:# if(tempSW!=self.myXEvent.SW):# if not IcConsMode:# print 'Error: change of SW in chosen eventlogs'try:current_SW=os.path.split(os.path.split(self.Auswahl_dict[logfile,'fullname'])[0])[0] #backup from folder nameexcept:current_SW='n.a.'filedate=self.GetFileDate(logfile) for j in range(len(self.myXEvent.SW)): #get real SW version from axiom.cafif filedate>=self.myXEvent.SW[j][1] :current_SW=self.myXEvent.SW[j][0]if current_SW not in self.usedSWs:self.usedSWs.append(current_SW)current_SW_short=current_SW.split('_')[0][0:-1]if current_SW_short == 'VC14' or current_SW_short == 'VC20' or current_SW_short == 'VC21' or current_SW_short[:-1]=='VD1' or current_SW_short=='VA10' : #durch Abschneiden des letzten Buchstabens funkionieren alle VC14/(bisherigen)VC20 Versionen(VC14A, VC14B,...)#Find '45 AX_SYC' (new patient) or 'new emergency patient'/'Syc creates Emergency Patient'if(lines[i].rfind('Internal information')>-1 ): line=lines[i+2]i=i+2if(lines[i].rfind('new patient')>-1 or lines[i].rfind('new emergency patient')>-1 or lines[i].rfind('Syc creates Emergency Patient')>-1): new_pat=1#Text: (19.08.2009 07:55:50) SYC SET: [00056] from SYC valid, new patient (PatPos 1, Exam 0)dat2=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) SYC SET: \[0005.+PatPos\s*(\d)',line)try:thetimestr=dat2.group(4)+':'+dat2.group(5)+':'+dat2.group(6)+' '+dat2.group(1)+'.'+dat2.group(2)+'.'+dat2.group(3)thetime=time.strptime(thetimestr,"%H:%M:%S %d.%m.%Y")new_pat_time=time.mktime(thetime)new_pat_position=dat2.group(7)except:dat2=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) SYC SET: \[0005',line)thetimestr=dat2.group(4)+':'+dat2.group(5)+':'+dat2.group(6)+' '+dat2.group(1)+'.'+dat2.group(2)+'.'+dat2.group(3)thetime=time.strptime(thetimestr,"%H:%M:%S %d.%m.%Y")new_pat_time=time.mktime(thetime)new_pat_position=0 #0 means unclearif (lines[i].rfind('[0x9225]')>-1): mat_PUNSW=re.search(r'.+[0x9225].+\((SW:.+HW:.{5})\)',lines[i])if mat_PUNSW!=None:#PUN SWself.myXEvent.PUN_SW=mat_PUNSW.group(1)else:self.myXEvent.PUN_SW='n.a'#SYC SET: [00056]: Find Program Number Dublets (p1,p2) if(lines[i].rfind('SYC SET: [00056] from ECC_1 valid')>-1 ): mat4=re.search(r'.+ select program, \(([0-9a-f]+),\s*([0-9a-f]+)',lines[i]);if(mat4!=None):if(int(mat4.group(1),16)>=20): #Fluoroprog1F=int(mat4.group(1),16)prog2F=int(mat4.group(2),16)else:prog1A=int(mat4.group(1),16)prog2A=int(mat4.group(2),16)#Search power on time stamps#W 05-Nov-13 07:51:56 6 AX_REP Artis SW VD10C 130402 started as Artis_Q_Ceiling from XA109005 #Time: 13.9.2010, 05:02:48, Process: C:\AXIOM\service\bin\Rep.exe_1664if lines[i].find('started as')>-1 and lines[i].find('AX_REP')>-1:mat11=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if mat11!=None:power_on_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)if not IcConsMode:print "power on: "+power_on_timetry:dateutil.parser.parse(power_on_time)power_on.append(power_on_time) except:print 'skipping event! Irregular date' actual_OGP='None'#Search power off time stamps#W 21-May-13 03:22:02 13 AX_IVS POWER OFF ACTIVATED #Time: 21.5.2013, 03:22:02, Process: C:\AXIOM\Service\bin\Rep.exe_1188,#Text: (21.05.2013 03:22:02) IVS SET: CShutdownController::RequestLabShutdownif lines[i].find('POWER OFF ACTIVATED')>-1 and lines[i].find('AX_IVS')>-1:mat11=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if mat11!=None:power_off_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)if not IcConsMode:print "power off: "+power_off_timetry:dateutil.parser.parse(power_off_time)power_off.append(power_off_time) cooling_time_str=str(dateutil.parser.parse(power_off_time)+datetime.timedelta(minutes=20)) if len(cooling_state)>0:if cooling_state[-1]==1:idx1=bisect.bisect_left(envtime2d,dateutil.parser.parse(power_off_time) )idx2=bisect.bisect_left(envtime2d,dateutil.parser.parse(cooling_time[-1]) )cool_duration=idx1-idx2cooling_ontime.append(cool_duration*60.) #in secondscooling_time.append(cooling_time_str)cooling_state.append(-1)if not IcConsMode:print 'cooling plane '+self.plane+' off:'+cooling_time_strexcept:print 'skipping event! Irregular date' #deviation:15%if (lines[i].find('deviation:15%')>-1 and lines[i].find('ANG-'+self.plane)>-1): uuu=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\)' ,lines[i]) if uuu!=None:dev_time=datetime.datetime(int(uuu.group(3)),int(uuu.group(2)),int(uuu.group(1)),int(uuu.group(4)),int(uuu.group(5)),int(uuu.group(6)) )ANG_CUR_DEV.append(dev_time) #Search 'cooling on/off' time stamps (only Gigalix, >=VD10)#W 13-Oct-14 09:08:37 37202 AX_PUD <I>Info_9152_GIGALIX_S0 (A100G) Cooling Unit S0 of Gigalix tube active </I>#Time: 13.10.2014, 09:08:37, Process: C:\AXIOM\Service\bin\Rep.exe_1156,#Text: Backlog (01.01.2010 01:01:41) ANG-A RESET: [0x9152]PL A100G (SW:VG03Q; HW:VG01C)if lines[i].find('Info_9152_GIGALIX_S0')>-1:mat11=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if mat11!=None:cool_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)if lines[i+2].find('ANG-'+self.plane+' RESET: [0x9152]')>-1:if not IcConsMode:print 'cooling plane '+self.plane+' off:'+cool_timetry:dateutil.parser.parse(cool_time)if len(cooling_state)>0:if cooling_state[-1]==1:idx1a=bisect.bisect_left(envtime2d,dateutil.parser.parse(cool_time) )if idx1a==len(envtime2d):idx1a-=1idx1b=bisect.bisect_right(envtime2d,dateutil.parser.parse(cool_time) )if idx1b==len(envtime2d):idx1b-=1if envtime2d[idx1a]-dateutil.parser.parse(cool_time)<envtime2d[idx1b]-dateutil.parser.parse(cool_time):idx1=idx1aelse:idx1=idx1bidx2a=bisect.bisect_left(envtime2d,dateutil.parser.parse(cooling_time[-1]) )if idx2a==len(envtime2d):idx2a-=1idx2b=bisect.bisect_right(envtime2d,dateutil.parser.parse(cooling_time[-1]) )if idx2b==len(envtime2d):idx2b-=1if envtime2d[idx2a]-dateutil.parser.parse(cool_time)<envtime2d[idx2b]-dateutil.parser.parse(cool_time):idx2=idx2aelse:idx2=idx2bcool_duration=idx1-idx2cooling_ontime.append(cool_duration*60.) #in secondscooling_time.append(cool_time) cooling_state.append(0)except:True#print 'skipping cooling off event! Irregular date' elif lines[i+2].find('ANG-'+self.plane+' SET: [0x9152]')>-1:if not IcConsMode:print 'cooling plane '+self.plane+' on:'+cool_timetry:dateutil.parser.parse(cool_time)cooling_time.append(cool_time) cooling_state.append(1) except:True#print 'skipping cooling on event! Irregular date' else:True #wrong plane #Search service start/stop time stamps#W 01-Oct-13 15:05:55 24 AX_REP Local Service Session started if (lines[i].rfind('AX_REP')>-1 and lines[i].rfind('Local Service Session started')>-1):mat11=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if mat11!=None:service_start_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)#print "service start: "+service_start_timeservice_start.append(service_start_time) #W 01-Oct-13 15:05:58 26 AX_REP Local Service Session stopped if (lines[i].rfind('AX_REP')>-1 and lines[i].rfind('Local Service Session stopped')>-1):mat11=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if mat11!=None:service_stop_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)#print "service stop: "+service_stop_timeservice_stop.append(service_stop_time) #fingerfilter (unclear A or B, for finger or for heart contour)#Text: (21.02.2014 14:41:21) UAL SET: [00015]UserInput: 0x2ba,Data: 0x0400000000000000 (CanTelegramHandler,82)if (lines[i].find('[00015]UserInput:')>-1 and lines[i].find('0x0400000000000000')>-1 and lines[i].find('0x412,Data:')>-1 and lines[i].find('(CanTelegramHandler,82)')>-1 ):mat11=re.search(r'(\d+)\.(\d+)\.(\d+)\s* (\d+):(\d+):(\d+)',lines[i])if mat11!=None:fingerfilter_in_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)fingerfilter_in.append(fingerfilter_in_time) #filter_reset#Text: (21.02.2014 14:44:35) UAL SET: [00015]UserInput: 0x2ba,Data: 0x0002000000000000 (CanTelegramHandler,82)if (lines[i].find('[00015]UserInput:')>-1 and lines[i].find('0x0200000000000000')>-1 and lines[i].find('0x412,Data:')>-1 and lines[i].find('(CanTelegramHandler,82)')>-1 ):mat11=re.search(r'(\d+)\.(\d+)\.(\d+)\s*(\d+):(\d+):(\d+)',lines[i])if mat11!=None:filter_reset_time = mat11.group(3)+'-'+mat11.group(2)+'-'+mat11.group(1)+' '+mat11.group(4)+':'+mat11.group(5)+':'+mat11.group(6)filter_reset.append(filter_reset_time) #SCU 221#-----#W 07-Jul-10 07:58:31 221 AX_SCU <I>LOG: cran_a -0.1, rao_a 0.0, sid_a 120.05 </I> #Time: 7.7.2010, 07:58:31, Process: C:\AXIOM\service\bin\Rep.exe_1816, #Text: (07.07.2010 07:58:31) SCU SET: [00221]-1,-2 C3244,3240 B-11014 G9277 T7790,3315,-597 R1510 T6 S|0,no src #Text: (18.02.2011 10:13:19) SCU SET: [00221]30,-25 C-6,0 B16 G-5 T9471,4396,-5 R0 T11 C-5 |0,no src #Text: (17.11.2009 15:18:35) SCU SET: [00221]-8989,3024 C18013,19 B-9019 G0,-26051,5077,15032 T7932,9964,-72 R3023 T2 #zeego VC14# (31.12.1997 19:01:15) SCU SET: [00221]-1,-19 C-7793,1222 B-7723 G6500 T7941,8894,-1744 R0|0,no src #Text: (27.02.2013 17:29:15) SCU SET: [00221]-241,-6986 C9217,217 B-8986 GNIL,22424 T10600,-500,0 R0 T0 C0 S 11977|0,n"""#Floor VC13W 11-Mar-14 13:45:25 221 AX_SCU <I>LOG: cran_a 0.3, rao_a 0.0, sid_a 111.2 </I>Time: 11.3.2014, 13:45:25, Process: C:\AXIOM\service\bin\Rep.exe_1100,Text: SCU SET: [00221]11,13 C-5510,3505 B-21490 G18016 T11041,437,-46 R16 T-11|0,no src#Ceiling VC21BW 19-Dec-14 13:19:25 221 AX_SCU <I>LOG: cran_a -0.2, rao_a -0.1, sid_a 114.44 </I>Time: 19.12.2014, 13:19:25, Process: C:\AXIOM\Service\bin\Rep.exe_1820,Text: (19.12.2014 13:19:26) SCU SET: [00221]-16,-14 C9023,20 B-9025 GNIL,7 T7697,11286,-95 R0 S 11444|0,no src #Robot VC21BW 23-Jun-14 08:04:37 221 AX_SCU <I>LOG: cran_a -1.5, rao_a 1.7, sid_a 120.00 </I>Time: 23.6.2014, 08:04:37, Process: C:\AXIOM\Service\bin\Rep.exe_2136,Text: (23.06.2014 08:03:41) SCU SET: [00221]168,-147 C3971,3971 B-3971 G0,-16966,10941,15584 T8211,-2103,-531 R1508 T#EASW 02-Apr-15 06:28:05 221 AX_SCU <I>LOG: cran_a 0.0, rao_a 0.0, sid_a 120.00 </I>Time: 2.4.2015, 06:28:05, Process: C:\Axiom\Service\bin\Rep.exe_2280,Text: (02.04.2015 06:28:04) SCU SET: [00221]0,0 C-3501,-3500 B3500 GNIL,-19130,10540,13102 T7833,6039,-21 R4 12000|0,no srcFloor Stand (additional text example): 0,0 C0,-1 B-3000 G90 T8000,5000,700 R0 T20 C15 CArmRot, CArmOrb [C] CameraRot, CollimRot [B] BaseRot [G] GantryRot [T] TableLift, TableLong, TableTrans [R] TableRot [T] TableTilt [C] TableCradle MP (additional text example): #not supported0,0 C0 GLo-9000 GLi-9000 GT-9000 T-9000,-9000,-9000 M-9000 CArmRot, CArmOrb [C] CameraRot [GLo] GantryLong [GLi] GantryLift [GT] GantryTilt [T] TableLift, TableLong, TableTrans [M] Monitor Ceiling Stand (additional text example): 0,0 C9,-9 B0 GNIL,-9000 T-9000,-9000,-9000 R-9000 T-9000 C-9000 CArmRot, CArmOrb [C] CameraRot, CollimRot [B] Gantry(Base)Rot [G]NIL, GantryLong [T] TableLift, TableLong, TableTrans [R] TableRot [T] TableTilt [C] TableCradle Robotic stand (additional text example): 1,-9 C6030,-2942 B-6029 G0,-9803,11006,3 T9364,5937,-203 R0 T0 C0 TCPRao, TCPCran [C] CameraRot, CollimRot [B] TCPBeamRot [G]GantryRot, TCPLong, TCPLift, TCPTrans [T] TableLift, TableLong, TableTrans [R] TableRot [T] TableTilt [C] TableCradle Artis one stand (additional text example):1,-9 C6030,-2942 B-6029 G0,-9803,11006,3 T9364,5937,-203 R0 T0 C0TCPRao, TCPCran [C] CameraRot, CollimRot[B] TCPBeamRot [G]GantryRot, TCPLong, TCPLift, TCPTrans[T] TableLift, TableLong, TableTrans[R] TableRot [T] TableTilt [C] TableCradle"""#221if( (lines[i].rfind('221'))>-1 and (lines[i].rfind('cran_a')>-1) and (lines[i+2].rfind('Backlog')==-1) and self.plane=='A'): mat4=re.search(r'.+cran_a (-?\d+\.?\d*).+rao_a (-?\d+\.?\d*).+sid_a (-?\d+\.?\d*)',lines[i])mat5=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) SCU SET: \[00221\](-?\d+),(-?\d+)\s*C(-?\d+),(-?\d+).+B(-?\d+).+G(-?\d+|NIL),?(|-?\d+),?(|-?\d+),?(|-?\d+)\s*T(-?\d+|NIL),(-?\d+|NIL),(-?\d+|NIL)+.(R-?\d+|)\s*(T-?\d+|)\s*(C-?\d+|C|)',lines[i+2])#print'----'#print lines[i+2]if (mat4!=None and mat5!=None):#print mat5.group(0)if mat5.group(16)!='NIL':try:scu_T1.append(float(mat5.group(16))/100.) #xexcept:scu_T1.append(88888)else:scu_T1.append(88888)if mat5.group(17)!='NIL': try: scu_T2.append(float(mat5.group(17))/100.) #yexcept:scu_T2.append(88888)else:scu_T2.append(88888)if mat5.group(18)!='NIL': try: scu_T3.append(float(mat5.group(18))/100.) #zexcept:scu_T3.append(88888)else:scu_T3.append(88888)if len(mat5.group(19))>0:try: scu_table_rot.append(float(mat5.group(19)[1:])/100.)except:scu_table_rot.append(888.)else:scu_table_rot.append(888.)if len(mat5.group(20))>0: try: scu_table_tilt.append(float(mat5.group(20)[1:])/100.)except:scu_table_tilt.append(888.)else:scu_table_tilt.append(888.)if len(mat5.group(21))>0: try: scu_table_cradle.append(float(mat5.group(21)[1:])/100.)except:scu_table_cradle.append(888.)else:scu_table_cradle.append(888.)if self.plane=='A':scu_cran.append(float(mat4.group(1)))scu_rao.append(float(mat4.group(2))) scu_sid.append(float(mat4.group(3)))scu_carm_rot.append(float(mat5.group(7))/100.)scu_carm_orb.append(float(mat5.group(8))/100.)scu_camera_rot.append(float(mat5.group(9))/100.)scu_collim_rot.append(float(mat5.group(10))/100.)scu_time.append(mat5.group(3)+'-'+mat5.group(2)+'-'+mat5.group(1)+' '+mat5.group(4)+':'+mat5.group(5)+':'+mat5.group(6))scu_base_rot.append(float(mat5.group(11))/100.) #base rotif mat5.group(12)!='NIL': #gantry rotscu_gantry_rot.append(float(mat5.group(12))/100.) else:scu_gantry_rot.append(88888)try:scu_gantry_long.append(float(mat5.group(15))/100.) #gantry long only ceiling in plane A except:scu_gantry_long.append('na') #Tube Rotationscu_carm_rot_rad=scu_carm_rot[-1]*np.pi/180.scu_carm_orb_rad=scu_carm_orb[-1]*np.pi/180.alpha_orb.append(180./np.pi*np.arcsin(-np.sin(scu_carm_orb_rad)*np.cos(scu_carm_rot_rad)))xray_vec_z.append(np.cos(scu_carm_orb_rad)*np.cos(scu_carm_rot_rad)) #z-Komponente Xray Einheitsvektor if self.myXEvent.SystemType!='Robot Stand' and len(alpha_orb)>1:if alpha_orb[-1]<-89.0 and alpha_orb[-2]<-89.0:idx1=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_time[-1]) )idx2=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_time[-2]) )vertical_tube_time+=(idx1-idx2)else:print 'error in scu 221: '+lines[i+2].lstrip()#scu_cran.append(8888.)#scu_rao.append(8888.)#scu_sid.append(8888.)#scu_time.append(8888.)#scu_gantry.append(8888.)#scu_T1.append(8888.)#scu_T2.append(8888.)#scu_T3.append(8888.)#scu_carm_rot.append(8888.)#scu_carm_orb.append(8888.)#alpha_orb.append(8888.)#222 #W 12-Nov-13 05:21:54 222 AX_SCU <I>LOG: cran_b -0.1, rao_b -90.1, sid_b 121.69 </I>#Time: 12.11.2013, 05:21:54, Process: C:\AXIOM\Service\bin\Rep.exe_1108,#Text: (12.11.2013 05:21:47) SCU SET: [00222]Rot7 Orb-9006 GantryLong-23317 C9002,9002 R12169 S|0,no src if( (lines[i].rfind('222'))>-1 and (lines[i].rfind('cran_b')>-1) and (lines[i+2].rfind('Backlog')==-1) and self.plane=='B' ): mat4=re.search(r'.+cran_b (-?\d+\.?\d*).+rao_b (-?\d+\.?\d*).+sid_b (-?\d+\.?\d*)',lines[i])mat5=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) SCU SET: \[00222\]Rot(-?\d+)\s*Orb(-?\d+)\s*GantryLong(-?\d+)\s*C(-?\d+),(-?\d+)',lines[i+2])if (mat4!=None and mat5!=None):if self.plane=='B':scu_cran.append(float(mat4.group(1)))scu_rao.append(float(mat4.group(2)))scu_sid.append(float(mat4.group(3)))scu_time.append(mat5.group(3)+'-'+mat5.group(2)+'-'+mat5.group(1)+' '+mat5.group(4)+':'+mat5.group(5)+':'+mat5.group(6))scu_carm_rot.append(float(mat5.group(7))/100.)scu_carm_orb.append(float(mat5.group(8))/100.)scu_gantry_long.append(int16(mat5.group(9))/100.) #Plane B position in mm (~ -23000 is parking position)scu_camera_rot.append(float(mat5.group(10))/100.)scu_collim_rot.append(float(mat5.group(11))/100.)#Tube Rotationscu_carm_rot_rad=scu_carm_rot[-1]*np.pi/180.scu_carm_orb_rad=scu_carm_orb[-1]*np.pi/180.alpha_orb.append(scu_carm_orb[-1])xray_vec_z.append(-np.sin(scu_carm_orb[-1])) #z-Komponente Xray Einheitsvektor if len(alpha_orb)>1:if alpha_orb[-1]<-89.0 and alpha_orb[-2]<-89.0:idx1=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_time[-1]) )idx2=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_time[-2]) )vertical_tube_time+=(idx1-idx2)else:if self.plane=='B':print 'error in SCU 222'+lines[i+2]#scu_gantry.append(88888.)#scu_carm_rot.append(8888.)#scu_carm_orb.append(8888.)#alpha_orb.append(8888.) #224 (Robot only and EAS only)#W 05-Dec-2013 10:35:57 224 AX_SCU 0 LOG: origin tbl, A -90.01, B -0.05, C 0.10 # Time: 5.12.2013, 10:35:57, Process: C:\AXIOM\Service\bin\Rep.exe_1948,# Text: (05.12.2013 10:35:53) SCU SET: [00224]A12,-6662,10438,108097,-3843,-117066 INC33,5,0 S|0,no src#EAS#Text: (22.05.2014 09:33:58) SCU SET: [00224]A23061,-23070,136,0,0,54 INCNIL,NIL,NIL |0,no src if( lines[i].rfind('224')>-1 and lines[i].rfind('AX_SCU')>-1 and lines[i+2].rfind('Backlog')==-1 ) and (self.myXEvent.SystemType=="Robot Stand" or self.myXEvent.SystemType=="EAS Floor Mounted"): mat6=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) SCU SET: \[00224\]A(-?\d+),(-?\d+),(-?\d+),(-?\d+),(-?\d+),(-?\d+) INC',lines[i+2])if mat6!=None:scu_224_time.append(mat6.group(3)+'-'+mat6.group(2)+'-'+mat6.group(1)+' '+mat6.group(4)+':'+mat6.group(5)+':'+mat6.group(6))scu_224_robot_angles.append((mat6.group(7),mat6.group(8),mat6.group(9),mat6.group(10),mat6.group(11),mat6.group(12)))beta=-np.pi/2 #(fix)T1=np.pi/180*float(np.mod(int(mat6.group(7)),36000)) /100.T2=np.pi/180*float(np.mod(int(mat6.group(8)),36000)) /100.*-1.T3=np.pi/180*float(np.mod(int(mat6.group(9)),36000)) /100.*-1T4=np.pi/180*float(np.mod(int(mat6.group(10)),36000))/100.*-1.T5=np.pi/180*float(np.mod(int(mat6.group(11)),36000))/100.*-1T6=np.pi/180*float(np.mod(int(mat6.group(12)),36000))/100.*-1. #test data#T1=12/100.*np.pi/180#T2=-6662/100.*-1.*np.pi/180#T3=10438/100.*-1.*np.pi/180#T4=np.mod(108097/100,360)*-1.*np.pi/180#T5=-3843/100.*-1.*np.pi/180#T6=np.mod(-117066/100,360)*-1.*np.pi/180#beta=-np.pi/2 #(fix)#T1_grad=11/100.*np.pi/180#T2_grad=-6661/100.*-1.*np.pi/180#T3_grad=10439/100.*-1*np.pi/180#T4_grad=np.mod(108088/100,360)*-1.*np.pi/180#T5_grad=-3847/100.*-1*np.pi/180#T6_grad=np.mod(-125970/100,360)*-1.*np.pi/180alpha_orb_rob.append(180./np.pi*np.arcsin((-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.sin(T5)*np.cos(T4) + (np.sin(T2)*np.cos(T3) + np.sin(T3)*np.cos(T2))*np.cos(T5)))alpha_xray_robot.append(180./np.pi*np.arcsin((-(-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.sin(T4)*np.sin(T6) + ((-np.sin(T2)*np.sin\(T3) + np.cos(T2)*np.cos(T3))*np.cos(T4)*np.cos(T5) - (np.sin(T2)*np.cos(T3) + np.sin(T3)*np.cos(T2))*sin\(T5))*np.cos(T6))*np.cos(beta) - ((-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.sin(T4)*np.cos(T6\) + ((-np.sin(T2)*np.sin(T3) + np.cos(T2)*np.cos(T3))*np.cos(T4)*np.cos(T5) - (np.sin(T2)*np.cos(T3) + sin\(T3)*np.cos(T2))*np.sin(T5))*np.sin(T6))*np.sin(beta)))if len(alpha_orb_rob)>1:if alpha_orb_rob[-1]<-89.0 and alpha_orb_rob[-2]<-89.0:idx1=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_224_time[-1]) )idx2=bisect.bisect_left(envtime2d,dateutil.parser.parse(scu_224_time[-2]) )vertical_tube_time+=(idx1-idx2) #Robi test###############Example position 1:#Cran0, rao0 headside pos. (Tisch gedreht siehe Example2)#W 05-Dec-2013 10:35:57 224 AX_SCU 0 LOG: origin tbl, A -90.01, B -0.05, C 0.10 # Time: 5.12.2013, 10:35:57, Process: C:\AXIOM\Service\bin\Rep.exe_1948,# Text: (05.12.2013 10:35:53) SCU SET: [00224]A12,-6662,10438,108097,-3843,-117066 INC33,5,0 S|0,no src#W 05-Dec-2013 10:35:57 221 AX_SCU 0 LOG: cran_a 0.0, rao_a -0.2, sid_a 119.91 # Time: 5.12.2013, 10:35:57, Process: C:\AXIOM\Service\bin\Rep.exe_1948,# Text: (05.12.2013 10:35:53) SCU SET: [00221]-23,0 C8997,-2 B9002 G0,16,12010,-11991 T9872,9592,1734 R-9001 T5 C10 S 1#EAS#W 06-Jun-14 10:17:07 224 AX_SCU <I>LOG: origin tbl, A 0.00, B 0.00, C 0.00 </I># Time: 6.6.2014, 10:17:07, Process: C:\Axiom\Service\bin\Rep.exe_2572,# Text: (06.06.2014 10:17:07) SCU SET: [00224]A21482,-21853,-2682,0,0,-4208 INCNIL,NIL,NIL |0,no src"""beta_grad=-90 #(fix)T1_grad=12/100.T2_grad=-6662/100.*-1.T3_grad=10438/100.*-1T4_grad=np.mod(108097/100,360)*-1.T5_grad=-3843/100.*-1T6_grad=np.mod(-117066/100,360)*-1.#Example Postion 2#Cran90, rao-0 headside pos., tisch rot 90 grad (also eigentlich cran 0, rao-90 wenn Tisch 0,0,0)#W 05-Dec-2013 10:35:50 224 AX_SCU 0 LOG: origin tbl, A -90.01, B -0.05, C 0.10 #Time: 5.12.2013, 10:35:50, Process: C:\AXIOM\Service\bin\Rep.exe_1948,#Text: (05.12.2013 10:35:47) SCU SET: [00224]A11,-6661,10439,108088,-3847,-125970 INC35,-8889,0 S|0,no src#W 05-Dec-2013 10:35:50 221 AX_SCU 0 LOG: cran_a -89.0, rao_a -0.3, sid_a 119.91 #Time: 5.12.2013, 10:35:50, Process: C:\AXIOM\Service\bin\Rep.exe_1948,#Text: (05.12.2013 10:35:47) SCU SET: [00221]-26,-8900 C8998,-3 B8999 G0,16,12011,-11991 T9872,9592,1734 R-9001 T5 C10beta_grad=-90. #(fix)T1_grad=11/100.T2_grad=-6661/100.*-1.T3_grad=10439/100.*-1T4_grad=np.mod(108088/100,360)*-1.T5_grad=-3847/100.*-1T6_grad=np.mod(-125970/100,360)*-1."""#(alpha_orb_grad,alpha_xray_grad)=get_tube_rot_robi(beta,T1,T2,T3,T4,T5,T6) #print alpha_orb_grad,alpha_xray_grad#print scu_carm_rot[-1],scu_carm_orb[-1],alpha_orb[-1] else:print 'error in scu 224: '+lines[i+2].lstrip()#Biplane Reset #Text: (08.09.2014 08:02:46) ACU-A SET: [00130],0|fl_ab pressed, place: on table (example, all 'pressed' events are intial)if lines[i].find('pressed,')>-1:actual_biplane=0#Biplane Set #W 08-Sep-14 06:59:53 42 AX_ACU <I>LOG, Internal Info </I># Time: 8.9.2014, 06:59:53, Process: C:\AXIOM\Service\bin\Rep.exe_2140,# Text: (08.09.2014 06:59:55) ACU-A SET: [00201]CommPlaneSyncThread,209|MASTER SEQUENCE#W 08-Sep-14 06:59:53 42 AX_ACU <I>LOG, Internal Info </I># Time: 8.9.2014, 06:59:53, Process: C:\AXIOM\Service\bin\Rep.exe_2140,# Text: (08.09.2014 06:59:56) ACU-B SET: [00201]CommPlaneSyncThread,186|SLAVE SEQUENCE #evtl. reicht nach Master Sequenz zu suchen...if lines[i].find('42\tAX_ACU')>-1 :data_biplane=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ACU-([A,B]) SET:.+CommPlaneSyncThread.+MASTER SEQUENCE',lines[i+2]) #Events kommen nur bei Biplane FL/ACQif data_biplane!=None:if data_biplane.group(7)=='A':actual_biplane=1else: #==Bactual_biplane=2 #ACU 0095plane_str_acu='ACU-'+self.plane if (lines[i].find('[00095]')>-1 and lines[i].find(plane_str_acu)>-1 ): actual_OGP='None' #because this telegram should be later in log and overwrite 'n.a' if found correctly#Text: (01.10.2008 07:01:58) ACU-A SET: [00095] ,0|X0100 #0064 B0041 g0409 b1 k0008 D4f19 f03 r0002 p02 i^02de 5012 msdata_acu95=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ACU-([A,B]) SET: \[00095\].+#(\d+)\s*B(\d+).+D([0-9,a-f]+)\s*f([0-9,a-f]+)\s*r([0-9,a-f]+).+i\^([0-9,a-f]+)\s*(\d+)\s*',lines[i])#VB11:'Text: ACU-B SET: [00095] ,0|X0100 #1212 B0271 g0407 b1 k0008 D1001 f02 r001d p02 i004067 44940 ms'if data_acu95!=None:acu_exist=1else:if not IcConsMode:print 'invalid [00095] entry: '+lines[i].strip()acu_exist=0if (acu_exist==1 and exist_p391==1 and self.plane==data_acu95.group(7)):try:if int(data_acu95.group(13),16)==int(data_391p.group(21),16): ACU_ID=int(data_acu95.group(13),16)acu_frames=int(data_acu95.group(8))except:print "missing preview due to RM?"#ACU 00169 (Pname) plane_str_acu='ACU-'+self.plane if (lines[i].find('[00169]')>-1 and lines[i].find(plane_str_acu)>-1 ): #Text: (02.05.2012 00:07:59) ACU-A SET: [00169],0|Pid: 000005, Pname: RM Neuro #Artis#Text: (31.10.2013 17:09:03) ACU-A SET: [00169]Pid: 000002, Pname: FL Normal.(,0) #EAS#print lines[i]mat9=re.search(r'ACU-([A-B]) SET: \[00169\](?:\,0\||)Pid: ([0-9]+)\, Pname:\s*(.+)(?:\(\,0\)|)',lines[i].decode('unicode-escape'))if(mat9!=None):if(self.plane==mat9.group(1)):actual_OGP=mat9.group(3)actual_OGP=actual_OGP.replace('(,0)','')actual_OGP=actual_OGP.strip() actual_OGP=actual_OGP.replace(';','.')else:if not IcConsMode:print 'invalid [00169] entry: '+lines[i].strip()actual_OGP='None'#print actual_OGP#Arcing-events (PUD 5016)#Text: (01.06.2012 08:00:50) ANG-A SET: [0x5016]PL A100G (SW:EG02L5; HW:VG01C): (5016 GEN. 13 1c)#-15#122#Text: (01.06.2012 07:11:28) ANG-A SET: [0x5016]PL A100G (SW:EG02L1; HW:VG01C): (Err5016 GEN. 13 18)#-245searchstring=r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-['+self.plane+'] SET: \[0x5016\].+SW:(.+)\).+5016 GEN.\s*(.+)'if(lines[i].rfind('ANG-'+self.plane+' SET: [0x5016]')>-1):#test if event in in allowed time intervallzzz=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-['+self.plane+'] SET: \[0x5016\]',lines[i])event_time1=Falseevent_datetime1=datetime.datetime(int(zzz.group(3)),int(zzz.group(2)),int(zzz.group(1)),int(zzz.group(4)),int(zzz.group(5)),int(zzz.group(6)))if(event_datetime1>=self.start__datum and event_datetime1<=self.ende__datum):event_time1=Truearcing_dat = re.search(searchstring, lines[i])if arcing_dat!=None and event_time1:a_t = arcing_dat.group(3)+'-'+arcing_dat.group(2)+'-'+arcing_dat.group(1)+' '+arcing_dat.group(4)+':'+arcing_dat.group(5)+':'+arcing_dat.group(6)arcing_time.append(a_t)num_arcing_tot+=1#Text1: (16.03.2012 01:18:39) ANG-A SET: [0x5016]PL A100G (SW:VG02F; HW:VG01C): (Err5016 GEN. 13 18)#+123# oder#Text2: (01.06.2012 07:51:47) ANG-A SET: [0x5016]PL A100G (SW:EG02L5; HW:VG01C): (5016 GEN. 13 1d)#-34#82# oder#Text3: (09.03.2012 18:10:55) ANG-B SET: [0x5016]PL A100G (SW:VG02F; HW:VG01C): (Err5016 GEN. 0x13 0x0007)if arcing_dat.group(8).count('#')==1: #Text2arcing_tmp = re.search(r'13\s*(.*)\)#(.+)',arcing_dat.group(8))if arcing_tmp!=None:arcing_type.append('0x00'+arcing_tmp.group(1))arcing_frame.append(arcing_tmp.group(2))else: arcing_type.append('n.a.') #from 'upload error'arcing_frame.append('n.a.')elif arcing_dat.group(8).count('#')==2: #Text2arcing_tmp = re.search(r'13\s*(.*)\)#(.*)#',arcing_dat.group(8))if arcing_tmp!=None:arcing_type.append('0x00'+arcing_tmp.group(1).upper())arcing_frame.append(arcing_tmp.group(2))else: arcing_type.append('n.a.') #from 'upload error'arcing_frame.append('n.a.')else: #Text1 arcing_tmp = re.search(r'0x13\s*(.*)\)',arcing_dat.group(8))if arcing_tmp!=None:arcing_type.append(arcing_tmp.group(1))arcing_frame.append('0') #'0' because it is not defined on this older PUN FWelse: arcing_type.append('n.a.') #from 'upload error'arcing_frame.append('n.a.')arcing_time_global.append(arcing_time[-1]) #speichere die Zeit des arcing-eventsarcing_type_global.append(arcing_type[-1]) #speichere den Typ des arcing-events abarcing_kV_global.append(actual_kV) #speichere den Typ des arcing-events abarcing_mA_global.append(actual_mA) #speichere den Typ des arcing-events abarcing_ms_global.append(actual_ms)arcing_foc_global.append(actual_foc) #speichere den Typ des arcing-events abarcing_frame_global.append(arcing_frame[-1]) #speichere den Typ des arcing-events abarcing_ogp_global.append(actual_OGP)arcing_HU_global.append(actual_HU)arcing_idx_global.append(actual_idx)#PUN Type and SW Version #works only if radiation is done during analysized time#Text: (22.06.2015 18:13:58) ANG-A SET: [0x9225]PL A100Plus (SW:VG02Y; HW:VG01C): (No. of SWR pulses: 5)if lines[i].find('ANG-'+self.plane+' SET')>-1 and lines[i].find('No. of SWR pulses')>-1: #xxx treat PUN changedat_gen=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-['+self.plane+'] SET: \[0x9225\]PL (.+).+SW:(.+);.+HW:(.+)\):',lines[i])temptime=datetime.date(int(dat_gen.group(3)),int(dat_gen.group(2)),int(dat_gen.group(1)))if len(generator)>0:if generator[-1][1:]!=(dat_gen.group(8),dat_gen.group(9)):generator.append((str(temptime),dat_gen.group(8),dat_gen.group(9)))else: generator.append((str(temptime),dat_gen.group(8),dat_gen.group(9))) generator_type=dat_gen.group(7).strip()#Grid warnings 509Asearchstring=r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-['+self.plane+'] SET: \[0x509A\].+SW:(.+)\).+509a GEN.\s*(.+)'if(lines[i].rfind('SET: [0x509A]')>-1):grid_dat = re.search(searchstring, lines[i])if grid_dat!=None:a_t = grid_dat.group(3)+'-'+grid_dat.group(2)+'-'+grid_dat.group(1)+' '+grid_dat.group(4)+':'+grid_dat.group(5)+':'+grid_dat.group(6)grid_time.append(a_t)num_grid_tot+=1#Text2: (26.04.2012 13:08:39) ANG-A SET: [0x509A]PL A100G (SW:VG02L; HW:VG01C): (Err509a GEN. 0x9D 0x0003)#-9 grid_tmp = re.search(r'9d\s*(.*)\)#(.*)#',grid_dat.group(8))if grid_tmp!=None:grid_type.append('0x00'+grid_tmp.group(1).upper())grid_frame.append(grid_tmp.group(2))else: grid_type.append('n.a.') #from 'upload error'grid_frame.append('n.a.')#-------------------#ANG Errors-Warningsif lines[i].find('AX_ANG')>-1 and lines[i+2].find('ANG-'+self.plane)>-1 and lines[i].find('255\tAX_ANG')==-1 and lines[i].find('636\tAX_ANG')==-1:for ang_err_type in ANG_ERR.keys(): if lines[i].find(ang_err_type)>-1:vvv=re.search(r'(\d+)\.(\d+)\.(\d+),\s*(\d+):(\d+):(\d+)',lines[i+1])if vvv!=None:altern_ang_err_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)))uuu=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\)' ,lines[i+2]) if uuu!=None:ang_err_time=datetime.datetime(int(uuu.group(3)),int(uuu.group(2)),int(uuu.group(1)),int(uuu.group(4)),int(uuu.group(5)),int(uuu.group(6)) )if vvv!=None:if abs(altern_ang_err_time-ang_err_time)>datetime.timedelta(minutes=1):ang_err_time=altern_ang_err_timeANG_ERR[ang_err_type].append(ang_err_time)#-------------------- #PUD Errors-Warnings if lines[i].find('AX_PUD')>1 and lines[i].find('Info_9225')==-1 and lines[i+2].find('ANG-'+self.plane)>-1:for pun_err_type in PUN_ERR.keys():err_nr_str=pun_err_type.split('_')[1]if lines[i+2].find('0x'+err_nr_str)>-1:vvv=re.search(r'(\d+)\.(\d+)\.(\d+),\s*(\d+):(\d+):(\d+)',lines[i+1])if vvv!=None:altern_pud_err_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)))uuu=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[0x'+err_nr_str+'\].+',lines[i+2]) if uuu!=None:pud_err_time=datetime.datetime(int(uuu.group(3)),int(uuu.group(2)),int(uuu.group(1)),int(uuu.group(4)),int(uuu.group(5)),int(uuu.group(6)) )if vvv!=None:if abs(altern_pud_err_time-pud_err_time)>datetime.timedelta(minutes=1):pud_err_time=altern_pud_err_timePUN_ERR[pun_err_type].append(pud_err_time)if pun_err_type=='Warn_5112_WARNING_OVERLOAD' or pun_err_type=='Info_5113_INFO_ITACT_SHUNT':if len(PUN_ERR['Warn_5112_WARNING_OVERLOAD'])>0 and len(PUN_ERR['Info_5113_INFO_ITACT_SHUNT'])>0:if abs(PUN_ERR['Warn_5112_WARNING_OVERLOAD'][-1]-PUN_ERR['Info_5113_INFO_ITACT_SHUNT'][-1]) <= datetime.timedelta(minutes=1): #check if both events occur in same minuteMMT_warning.append(PUN_ERR['Warn_5112_WARNING_OVERLOAD'][-1])###FPGA Error F2 Megalix A100Plus# F2 from ANG391p# 50 AX_ANG High voltage active after pulse end # Info_5113_INFO_ITACT_SHUNT???# Warn_5081_FIL_WARNING (A100) # increase heat current offset F2 (-> 5000)if pun_err_type=='Warn_5081_FIL_WARNING':try:if data_391p.group(19)=='L' and generator_type=='A100Plus':event_391p=datetime.datetime(int(data_391p.group(3)),int(data_391p.group(2)),int(data_391p.group(1)),int(data_391p.group(4)),int(data_391p.group(5)),int(data_391p.group(6)))event_PUN5081=PUN_ERR['Warn_5081_FIL_WARNING'][-1]event_ANG50=ANG_ERR['\t50\tAX_ANG'][-1] if abs(event_391p-event_PUN5081)<datetime.timedelta(seconds=1) and abs(event_391p-event_ANG50)<datetime.timedelta(seconds=1): FPGA_Error.append(event_ANG50)except:True#Tube Adjust #VD10+#Text: (18.03.2014 12:00:06) ANG-A SET: [0xAD00]PL A100G (SW:VG02Y; HW:VG01C): Done Tube Adjustif(lines[i].rfind('ANG-'+self.plane+' SET: [0xAD00]')>-1) and (lines[i].rfind('Done Tube Adjust')>-1): vvv=re.search(r'(\d+)\.(\d+)\.(\d+) (\d+):(\d+):(\d+)',lines[i])TUBE_ADJUST_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) TUBE_ADJUST.append(TUBE_ADJUST_time) # !!! Todo check for VCxx, EAS !!!#VCxx #I 04-Jun-14 12:37:55 2 AX_SF <I>Pms_Cag: Generator adjustment (tube) on plane A finished! if current_SW_short[:-2] == 'VC':if(lines[i].rfind('Pms_Cag: Generator adjustment (tube) on plane '+self.plane+' finished!')>-1): vvv=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])TUBE_ADJUST_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) TUBE_ADJUST.append(TUBE_ADJUST_time) #Tube Conditioning#Time: 24.11.2014, 15:50:51, Process: C:\AXIOM\Service\bin\Rep.exe_2124,#Text: (24.11.2014 15:50:50) ANG-B SET: [00001]Tube condition Start - Heat Unit: 4 % - Threshold: 5 % - T0: 49#Text: (09.04.2014 08:50:24) ANG-B SET: [00001] Tube Condition Ended with - Heat Unit: 58 % T0: 70#or#Text: (09.04.2014 08:50:25) ANG-B SET: [00001] Tube Condition Aborted withif(lines[i].rfind('ANG-'+self.plane+' SET: [00001]Tube condition')>-1): #only start, regardless of abort (VD10 ok, other versions?)vvv=re.search(r'(\d+)\.(\d+)\.(\d+) (\d+):(\d+):(\d+)',lines[i])TUBE_CONDITIONING_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) TUBE_CONDITIONING.append(TUBE_CONDITIONING_time) #NO_XRAYif(lines[i].rfind('ANG-'+self.plane+' :[00220]ErrNo Xray')>-1): vvv=re.search(r'(\d+)\.(\d+)\.(\d+) (\d+):(\d+):(\d+)',lines[i])NO_XRAY_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) NO_XRAY.append(NO_XRAY_time) if(lines[i].rfind('NO XRAY, Bypass Fluoro not possible')>-1): vvv=re.search(r'(\d+)\.(\d+)\.(\d+) (\d+):(\d+):(\d+)\) ANG-'+self.plane+' RESET',lines[i])if vvv !=None:NO_XRAY_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) NO_XRAY.append(NO_XRAY_time) #if(lines[i].upper().rfind('BYPASS')>-1) or (lines[i].upper().rfind('NO XRAY')>-1) or (lines[i].upper().rfind('DOSE LESS')>-1): # print lines[i] #W 28-Apr-14 10:50:42 2118 AX_ACU LOG: Less frames than forecasted #Time: 28.4.2014, 10:50:42, Process: C:\AXIOM\Service\bin\Rep.exe_2116,#Text: (28.04.2014 10:50:42) ACU-A SET: [00061]XrayCntThread3d,1527|Less Frs than forecastedif(lines[i].rfind('ACU-'+self.plane+' SET: [00061]XrayCntThread3d')>-1 and lines[i].rfind('Less Frs than forecasted')>-1): vvv=re.search(r'(\d+)\.(\d+)\.(\d+) (\d+):(\d+):(\d+)',lines[i])LESS_FRAMES_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)) ) LESS_FRAMES.append(LESS_FRAMES_time) #-------------------------------------------------#I 05-Mar-15 09:02:43 40000 CAP_AN <I>Send successful.3 image(s) of patient with Loid __ sent to Dynamics. </I># Time: 5.3.2015, 09:02:43, Line: 822, File: t:\medcom\src\archnet\archnet_server\src\capanbeserver\CapANBeNetworkNodeJob_haz.cpp, Process: CsaGenericMain (3148),if lines[i].find('40000\tCAP_AN')>-1:dat_capan=re.search(r'Send successful\.(\d+) image\(s\) of patient with Loid',lines[i])vvv=re.search(r'(\d+)\.(\d+)\.(\d+), (\d+):(\d+):(\d+)',lines[i+1])if vvv !=None:capan_time=datetime.datetime(int(vvv.group(3)),int(vvv.group(2)),int(vvv.group(1)),int(vvv.group(4)),int(vvv.group(5)),int(vvv.group(6)))try:transfer_dynamics.append((capan_time,dat_capan.group(1))) except:1 #------------#Leo#W 20-Dec-13 03:42:29 17 AX_REP syngoXWP connected to ARTIS # Time: 20.12.2013, 03:42:29, Process: C:\AXIOM\Service\bin\Rep.exe_2052,# Text: System type: syngo_XWP, SW Version: VC10C, Serial number: 12005, Part number: m-001-740623if lines[i].find('syngoXWP connected to ARTIS')>-1:zzz=re.search(r'SW Version: (.+), Serial number: (\d+),', lines[i+2])try:self.Leo.add(zzz.group(2))self.Leo_SW.add(zzz.group(1))except:print('error reading syngoxwp '+lines[i+2])#Axis DEV 001#W 13-Feb-14 09:01:25 1 AX_DEV <I>AxisTrace: EDR-A (896x896, 12-bit) ActID: 0x605e (24670) MaxFrames: 1024 Rate: 750 </I># Time: 13.2.2014, 276496:00:00, Line: -1, File: EDR::ProcessImageInfo, Process: "C:\AXIOM\axis\ERRORH~1.HLP"_376if(lines[i].find('<I>AxisTrace: EDR-'+self.plane)>-1 ) and (lines[i].find('MaxFrames')>-1): dat_dev2=re.search(r'(\d{2}):(\d{2}):(\d{2})\s*1\s*AX_DEV\s*<I>AxisTrace: EDR-'+self.plane+' \((\d+x\d+).+\) ActID: 0x([0-9a-f]+) ',lines[i]) if dat_dev2.group(0)!=None:act_axis_id2=dat_dev2.group(5)act_axis_resolution[act_axis_id2]=dat_dev2.group(4)#W 13-Feb-14 09:01:25 1 AX_DEV <I>AxisTrace: EDR-A Mode: Fluoro ActID: 0x605e (24670) BP: 0 Room: 1 </I> ##First message after footswitch# Time: 13.2.2014, 276496:00:00, Line: -1, File: EDR::ProcessStartCommand, Process: "C:\AXIOM\axis\ERRORH~1.HLP"_410376if(lines[i].find('<I>AxisTrace: EDR-'+self.plane)>-1 ) and (lines[i].find('Room')>-1): dat_dev1=re.search(r'(\d{2}):(\d{2}):(\d{2})\s*1\s*AX_DEV\s*<I>AxisTrace: EDR-'+self.plane+' Mode: (.+)ID: 0x([0-9a-f]+) ',lines[i]) if dat_dev1.group(0)!=None:act_axis_id1=dat_dev1.group(5)act_axis_mode[act_axis_id1]=dat_dev1.group(4)#-------------------------------------------------- #AX_ANG 255if(lines[i].rfind('diagnostic')>-1 ): # new patient if new day (new log file)if(new_day==1):new_pat=1 #unklar ob das hier ueberhaupt gebraucht wird, da vor Strahlung immer Patient angelegt wird -> 105008 Arbeiten über Datumgrenze checken?!old_date_time=old_time #Zeit vom letzten Strahlungsevent vom Vortag merkennew_day=0;line=lines[i+2]i=i+2#Suche nach statischen Lernparametern auf aktueller Ebeneif self.myXEvent.numFoken == 3:if(line.rfind('L1:')>1 and line.rfind('ANG-'+self.plane)>1 and line.rfind('Backlog')==-1): #Text: Backlog (01.01.2007 01:00:56) ANG-B SET: [00001]L1:102, L2:-609, S1:99, S2:905, M1:99, M2:32 Lernparameter = re.search(r'.+L1:(-?\d+), L2:(-?\d+), S1:(-?\d+), S2:(-?\d+), M1:(-?\d+), M2:(-?\d+)', line)Lernparameter_DATUM = re.search(r'.+Time: (\d+).(\d+).(\d+), (\d+):(\d+):(\d+)', lines[i-1]) #das Datum steht eine Zeile drübertry:x=Lernparameter.group();exist__=1except AttributeError:print 'Fehler bei Lernparametern\n'exist__=0L_time = Lernparameter_DATUM.group(3)+'-'+Lernparameter_DATUM.group(2)+'-'+Lernparameter_DATUM.group(1)+' '+Lernparameter_DATUM.group(4)+':'+Lernparameter_DATUM.group(5)+':'+Lernparameter_DATUM.group(6)Lernparameter_datum.append(L_time)if int(Lernparameter.group(1)) <= 32767:L1.append(Lernparameter.group(1))else: L1.append(int(Lernparameter.group(1))-65536)if int(Lernparameter.group(2)) <= 32767:L2.append(int(Lernparameter.group(2)))else: L2.append(int(Lernparameter.group(2))-65536)if int(Lernparameter.group(3)) <= 32767:S1.append(int(Lernparameter.group(3)))else: S1.append(int(Lernparameter.group(3))-65536)if int(Lernparameter.group(4)) <= 32767:S2.append(int(Lernparameter.group(4)))else: S2.append(int(Lernparameter.group(4))-65536)if int(Lernparameter.group(5)) <= 32767:M1.append(int(Lernparameter.group(5)))else: M1.append(int(Lernparameter.group(5))-65536)if int(Lernparameter.group(6)) <= 32767:M2.append(int(Lernparameter.group(6)))else: M2.append(int(Lernparameter.group(6))-65536)if (line.rfind('L3:')>1 and line.rfind('ANG-'+self.plane)>1 and line.rfind('Backlog')==-1):Lp = re.search(r'.+L3:(-?\d+), S3:(-?\d+), M3:(-?\d+)', line)if int(Lp.group(1)) <= 32767:L3.append(int(Lp.group(1)))else: L3.append(int(Lp.group(1))-65536)if int(Lp.group(2)) <= 32767:S3.append(int(Lp.group(2)))else: S3.append(int(Lp.group(2))-65536)if int(Lp.group(3)) <= 32767:M3.append(int(Lp.group(3)))else: M3.append(int(Lp.group(3))-65536)else:if(line.rfind('L1:')>1 and line.rfind('ANG-'+self.plane)>1 and line.rfind('Backlog')==-1): #Text: Backlog (01.01.2007 01:00:56) ANG-B SET: [00001]L1:102, L2:-609, S1:99, S2:905, M1:99, M2:32 Lernparameter = re.search(r'.+L1:(-?\d+), L2:(-?\d+), S1:(-?\d+), S2:(-?\d+)', line)Lernparameter_DATUM = re.search(r'.+Time: (\d+).(\d+).(\d+), (\d+):(\d+):(\d+)', lines[i-1]) #das Datum steht eine Zeile drübertry:x=Lernparameter.group();exist__=1except AttributeError:print 'Fehler bei Lernparametern\n'exist__=0L_time = Lernparameter_DATUM.group(3)+'-'+Lernparameter_DATUM.group(2)+'-'+Lernparameter_DATUM.group(1)+' '+Lernparameter_DATUM.group(4)+':'+Lernparameter_DATUM.group(5)+':'+Lernparameter_DATUM.group(6)Lernparameter_datum.append(L_time)if int(Lernparameter.group(1)) <= 32767:L1.append(int(Lernparameter.group(1)))else: L1.append(int(Lernparameter.group(1))-65536)if int(Lernparameter.group(2)) <= 32767:L2.append(int(Lernparameter.group(2)))else: L2.append(int(Lernparameter.group(2))-65536)if int(Lernparameter.group(3)) <= 32767:S1.append(int(Lernparameter.group(3)))else: S1.append(int(Lernparameter.group(3))-65536)if int(Lernparameter.group(4)) <= 32767:S2.append(int(Lernparameter.group(4)))else: S2.append(int(Lernparameter.group(4))-65536)if (line.rfind('L3:')>1 and line.rfind('ANG-'+self.plane)>1 and line.rfind('Backlog')==-1):Lp = re.search(r'.+L3:(-?\d+), S3:(-?\d+)', line)if int(Lp.group(1)) <= 32767:L3.append(int(Lp.group(1)))else: L3.append(int(Lp.group(1))-65536)if int(Lp.group(2)) <= 32767:S3.append(int(Lp.group(2)))else: S3.append(int(Lp.group(2))-65536)plane_str='ANG-'+self.plane#AX_ANG 255 [00391]p -------------nur preview---------dient zur Ermittlung der Soll-FD-Dosisif (line.rfind('[00391]p')>1 and line.rfind(plane_str)>1): #new preview, forget all old values (maybe wrong if ACU 0095 is late); preview may still be errorneousexist_391=0exist_p453=0exist_453=0acu_exist=0dap453=0dose453=0current453=0scenetime453=0if len(arcing_time) > 0:arcing_time=[]arcing_type=[]if len(grid_time) > 0:grid_time=[]grid_type=[]if len(T1_arcing_time) > 0:T1_arcing_time=[]#Artis Text: (30.12.2009 10:35:58) ANG-A SET: [00391]p0100: 0 0# 200W - 70U100I 3T 333u 0u 45n 2S1 -2256i#EAS Text: (28.01.2013 10:53:02) ANG-A SET: [00391]p0100: 0 0# 200W - 70U 47I 3T 148u 0u 23n 1L0 - 48i if current_SW_short != 'VA10':data_391p = re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]p([0-2]+):\s+([0,-])\s+(\d+)#\s*(-?\d+)W - \s*(-?\d+)U\s*(-?\d+)I\s*(\d+)T\s*(\d+)[u,m]\s*(\d+)[u,n]\s*(\d+)[u,n]\s*(\d)([S;L;M])(\d)\s*-\s*([0-9,a-f]+)i',line)else:data_391p = re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]p([0-2]+):\s+([0,-])\s+(\d+)#\s*(-?\d+)W . \s*(-?\d+)U\s*(-?\d+)I\s*(\d+)T\s*(\d+)[u,m]\s*(\d+)[u,n]\s*(\d+)[u,n]\s*(\d)([S;L;M])(\d)\s*-\s*([0-9,a-f]+)i',line)if(data_391p!=None): #erste logeintrag eines neuen events, alle flags resettenexist_p391=1actual_kV=float(data_391p.group(12))actual_mA=float(data_391p.group(13)) #nicht ganz korrekt, da mA sich im Review unterscheiden koennen...actual_ms=float(data_391p.group(14))actual_foc=data_391p.group(19)actual_idx=data_391p.group(21)else:exist_p391=0;if not IcConsMode:print 'invalid [00391]p entry: '+line.strip()#find out kV,mA,foc for arcing in service mode#ANG-B SET: [00391]p0100: 0 0# 200W - 102U 31I - 1030u 0u - 0S0 - - data_391p2 = re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]p([0-2]+):.+W . \s*(-?\d+)U\s*(-?\d+)Is*(\d+)T.+([S;L;M]).+([0-9,a-f]+)i',line)if data_391p2!=None:actual_kV=float(data_391p2.group(9))actual_mA=float(data_391p2.group(10))actual_ms=float(data_391p2.group(11))actual_foc=data_391p2.group(12)actual_idx=data_391p2.group(13)else:actual_kV=0.actual_mA=0.actual_ms=0actual_foc='None'actual_idx=0#HU counting (also in service)dataHU=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-'+self.plane+' SET: \[00453\].+ (\d+)\[?%\]?',line)if dataHU != None:all_HU.append(int(dataHU.group(7))) all_HU_time.append(dataHU.group(3)+'-'+dataHU.group(2)+'-'+dataHU.group(1)+' '+dataHU.group(4)+':'+dataHU.group(5)+':'+dataHU.group(6)) #AX_ANG 255 [00391]if (line.rfind('[00391]')>-1 and line.rfind(plane_str)>1 and line.rfind('[00391]p')==-1 ): #if Pname entry is slower than 5016if len(arcing_ogp_global)>0:if arcing_ogp_global[-1]=='None':arcing_ogp_global=[w.replace('None',actual_OGP) for w in arcing_ogp_global]#Text: (01.10.2008 07:02:38) ANG-A SET: [00391]0001: - 64# 200W3 57U191I 2T 399u 0u - 9S0 0s 2e0i110c 0R 0#data=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-([A,B]) SET: \[00391\]([0-2]+):.+ (\d+)#\s*(\d+)W([0-9,a])\s*(\d+)U\s*(\d+)I\s*(\d+)T\s*(\d+)[u,m]\s*(\d+)[u,n]\s*(\d+)[u,n]\s*(\d)([S;L;M])(\d)\s*(\d+)s\s*([0-9,a-f]+)i\s*(\d+)c\s*(-?\d+)R\s*(-?\d+)',line) #bis VC14Bdata=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]([0-2]+):.+ (\d+)#\s*(-?\d+)W([0-9,a])\s*(\d+)U\s*(\d+)I\s*(\d+)T\s*(\d+[u,m])\s*(\d+)[u,n]\s*(\d+)[u,n]\s*(\d)([S;L;M])(\d)\s*(\d+)s\s*([0-9,a-f]+)i',line)#test if event in in allowed time intervallttt=re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]([0-8]+):',line)event_time=Falseif ttt!=None:event_datetime=datetime.datetime(int(ttt.group(3)),int(ttt.group(2)),int(ttt.group(1)),int(ttt.group(4)),int(ttt.group(5)),int(ttt.group(6)))if(event_datetime>=self.start__datum and event_datetime<=self.ende__datum):event_time=True#print re.search(r'.+\((\d+).(\d+).(\d+) (\d+):(\d+):(\d+)\) ANG-(['+self.plane+']) SET: \[00391\]([0-8]+):',line).group(0)if ttt.group(8)=='8000': #bypassbypass_fl.append(event_datetime) #skindose to be added#if event_datetime-power_on[-1]>datetime.timedelta(minutes=1):#total eventsrrr=re.search(r'.+[S;L;M]\d\s*\d+s\s*([0-9,a-f]+)i',line)if rrr!=None and event_time:act_index=rrr.group(1)if old_index!=act_index:total_events.append(1) old_index=act_index try:x=data.group();exist_391=1exist_453=0 #391 has to be previous to 453, so last 453 entry is irrelevant #test if event in in allowed time intervall#event_time=False#event_datetime=datetime.datetime(int(data.group(3)),int(data.group(2)),int(data.group(1)),int(data.group(4)),int(data.group(5)),int(data.group(6)))#if(event_datetime>=self.start__datum and event_datetime<=self.ende__datum):# event_time=Trueframes_391=int(data.group(9))#WW should be >0if float(data.group(10))<=0.0 and self.cb_negWV.GetValue()==False:exist_391=0#Roadmap problem, fluoro with control stop (no preview) if (data.group(8)=='0100' or data.group(8)=='0200') and data.group(11)=='6':exist_p391=1exist_p453=1acu_frames=int(data_acu95.group(8)) #nicht ganz sauber...if (data.group(8)=='0001' or data.group(8)=='0002') and exist_p391==0:if not IcConsMode:print 'invalid [00391] entry (missing preview for acq): '+line.strip()exist_391=0frames_391=0except AttributeError:if not IcConsMode:print 'invalid [00391] entry: '+line.strip()exist_391=0frames_391=0#AX_ANG 255 previewplane_str='ANG-'+self.planeif (line.rfind('[00453]p')>1 and line.rfind(plane_str)>1): #Text: (22.09.2009 08:53:41) ANG-A SET: [00453]0001: 111cm 0C 0R 4930A 9907T 11% 150F 94fr 3D:NO (VC14)#Text: (07.05.2014 17:22:27) ANG-A SET: [00453]p0100: PP 94cm 4C 0R - - 2[%] -120F 1000fr no3d 0#0 (EAS)#Text: (09.10.2013 11:29:28) ANG-A SET: [00453]p0100: GP 100cm 0C 0R - - 0% 0F 750fr no3d 2#2 (VD10)if current_SW_short == 'VC14':preview = re.search(r'.+ANG-(['+self.plane+']) SET: \[00453\]p([0-2]+):\s*(GP|PP|)\s*(\d+)cm\s*(-?\d+)C\s*(-?\d+)R.+\s(\d+)%',line)else:preview = re.search(r'.+ANG-(['+self.plane+']) SET: \[00453\]p([0-2]+):\s*(GP|PP|)\s*(\d+)cm\s*(-?\d+)C\s*(-?\d+)R.+\s(\d+)\[?%\]?',line) if len(scu_T1)>0:prev_table_pos=np.array([scu_T1[-1],scu_T2[-1],scu_T3[-1]])try:xx=preview.group()exist_p453=1 actual_HU=preview.group(7)except AttributeError:if not IcConsMode:print 'invalid [00453]p entry: '+line.strip()exist_p453=0 actual_HU=-1#AX_ANG 255 [00453] ------- reviewif (line.rfind('ANG-'+self.plane+' SET: [00453]0')>1 ): #Text: (22.09.2009 08:53:41) ANG-A SET: [00453]0001: 111cm 0C 0R 4930A 9907T 11% 150F 94fr 3D:NO#Text: (09.10.2013 11:28:36) ANG-A SET: [00453]0100: GP 100cm 0C 0R 96A 1339ST 0% 90F 750fr no3d 1#1 (VC21,VD10)#Text: (07.05.2014 17:22:32) ANG-A SET: [00453]0100: PP 94cm 4C 0R 509A 4020ST 2[%] -20F 1000fr no3d 0#0 (EAS)if current_SW_short == 'VC14':data1=re.search(r'ANG-(['+self.plane+'])\s*SET:\s*\[00453\]([0-2]+):\s*(GP|PP|)\s*(\d+)cm\s*(-?\d+)C\s*(-?\d+)R\s*(\d+)A\s*(\d+)T\s*(\d+)%\s*(-?\d+)F\s*(\d+)fr\s*(\d*?XT|-|)\s*(\d*?Um|-|)\s*3D:([NO,DR,DRLV,DSA,CARD]+).+',line)else:data1=re.search(r'ANG-(['+self.plane+'])\s*SET:\s*\[00453\]([0-2]+):\s*(GP|PP|)\s*(\d+)cm\s*(-?\d+)C\s*(-?\d+)R\s*(\d+)A\s*(\d+)ST\s*(\d+)\[?%\]?\s*(-?\d+)F\s*(\d+)fr\s*(\d*?XT|-|)\s*(\d*?Um|-|)\s*([a-zA-Z0-9]+)',line)#print lineif data1!=None and exist_391==1:exist_453=1 dap453+=float(data1.group(7))scenetime453+=float(data1.group(8))try:dose453+=float(data.group(21))*float(data1.group(8))current453+=float(data.group(13))*float(data1.group(8))except:print 'data391 not defined!'##evtl. missing actual_OGP, weil 453 zu schnell...if actual_OGP=='None':k=0temp_pulses=-1#Text: (10.05.2014 10:57:12) ACU-B SET: [00130],0|fl_ab pressed, place: on table etc.... while lines[i+k].find('pressed,')==-1 and k<60:#print lines[i+k]mat12=re.search(r'No\. of SWR pulses\:\s*(\d+)',lines[i+k])if mat12!=None:temp_pulses= int(mat12.group(1))plane_str_acu='ACU-'+self.plane if (lines[i+k].find('[00169]')>-1 and lines[i+k].find(plane_str_acu)>-1 ): #Text: (31.10.2013 17:09:03) ACU-A SET: [00169]Pid: 000002, Pname: FL Normal.(,0) #EASmat9=re.search(r'ACU-([A-B]) SET: \[00169\](?:\,0\||)Pid: ([0-9]+)\, Pname:\s*(.+)(?:\(\,0\)|)',lines[i+k])if(mat9!=None):if(self.plane==mat9.group(1)):actual_OGP=mat9.group(3)actual_OGP=actual_OGP.replace('(,0)','')actual_OGP=actual_OGP.strip() actual_OGP=actual_OGP.replace(';','.')else:if not IcConsMode:print 'invalid [00169] entry: '+lines[i+k].strip()actual_OGP='None'k+=1#test, ob Strahlungspulse gleich viel sindif(data!=None):if temp_pulses!=int(data.group(9)):actual_OGP='None'else:actual_OGP='None' else:if not IcConsMode:print 'invalid [00453] entry: '+line.strip() exist_453=0 if event_time==False:#reset flags and re resultsexist_453=0exist_391=0exist_p453=0exist_p391=0acu_exist=0dap453=0dose453=0current453=0scenetime453=0data_391p=Nonedata=Nonedata_391p=Nonedata1=Nonepreview=Nonedata_acu95=Noneactual_OGP='None' #generate event entryif (acu_exist==1 and exist_453==1 and exist_391==1 and exist_p453==1 and self.plane==data.group(7) and exist_p391==1 and acu_frames==frames_391): # and service_flag==0 ):#and int(data.group(22),16)==ACU_ID): #correct plane & same IDif not IcConsMode:print self.eventsprint actual_OGPreview_SID.append(int(data1.group(4)))review_cran.append(int(data1.group(5)))review_rao.append(int(data1.group(6)))try:preview_SID.append(int(preview.group(4)))preview_cran.append(int(preview.group(5)))preview_rao.append(int(preview.group(6))) except:preview_SID.append(-1) #no previewpreview_cran.append(-1)preview_rao.append(-1) #es wird getestet, ob SID/cran/Rao-Werte von preview und review eines events übereinstimmenif len(scu_T1)>0:rev_table_pos=np.array([scu_T1[-1],scu_T2[-1],scu_T3[-1]])else:rev_table_pos=np.array([0,0,0])if preview_SID[-1] == review_SID[-1]:if preview_cran[-1] == review_cran[-1]:if preview_rao[-1] == review_rao[-1] and np.linalg.norm(prev_table_pos-rev_table_pos)<0.01:preview_review.append(1)else:preview_review.append(0)else:preview_review.append(0)else:preview_review.append(0)#Arcingnum_arcing.append(len(arcing_time)) #gibt an, wieviele arcing-Ereignisse zu dem gegenwärtigen review-event gehörenself.myXEvent.arc_0x001A_frame.append('')self.myXEvent.arc_0x001B_frame.append('')self.myXEvent.arc_0x001C_frame.append('')self.myXEvent.arc_0x001D_frame.append('')self.myXEvent.arc_0x001E_frame.append('')self.myXEvent.arc_0x0018_frame.append('')self.myXEvent.arc_0x000A_frame.append('')self.myXEvent.arc_0x000B_frame.append('')self.myXEvent.arc_0x000C_frame.append('')self.myXEvent.arc_0x0008_frame.append('')self.myXEvent.arc_0x0007_frame.append('')self.myXEvent.arc_0x0006_frame.append('')self.myXEvent.arc_0x0005_frame.append('')self.myXEvent.arc_0x0004_frame.append('')self.myXEvent.arc_0x0003_frame.append('')self.myXEvent.arc_0x0002_frame.append('')self.myXEvent.arc_0x0001_frame.append('')self.myXEvent.arc_0x0000_frame.append('')self.myXEvent.arc_other_frame.append('')if len(arcing_time) > 0:for j in range(len(arcing_time)):if arcing_type[j].rfind('0x001A')>-1:self.myXEvent.arc_0x001A[self.events]+=1self.myXEvent.arc_0x001A_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x001B')>-1:self.myXEvent.arc_0x001B[self.events]+=1self.myXEvent.arc_0x001B_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x001C')>-1:self.myXEvent.arc_0x001C[self.events]+=1self.myXEvent.arc_0x001C_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x001D')>-1:self.myXEvent.arc_0x001D[self.events]+=1self.myXEvent.arc_0x001D_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x001E')>-1:self.myXEvent.arc_0x001E[self.events]+=1self.myXEvent.arc_0x001E_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0018')>-1:self.myXEvent.arc_0x0018[self.events]+=1self.myXEvent.arc_0x0018_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x000A')>-1:self.myXEvent.arc_0x000A[self.events]+=1self.myXEvent.arc_0x000A_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x000B')>-1:self.myXEvent.arc_0x000B[self.events]+=1self.myXEvent.arc_0x000B_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x000C')>-1:self.myXEvent.arc_0x000C[self.events]+=1self.myXEvent.arc_0x000C_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0008')>-1:self.myXEvent.arc_0x0008[self.events]+=1self.myXEvent.arc_0x0008_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0007')>-1:self.myXEvent.arc_0x0007[self.events]+=1self.myXEvent.arc_0x0007_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0006')>-1:self.myXEvent.arc_0x0006[self.events]+=1self.myXEvent.arc_0x0006_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0005')>-1:self.myXEvent.arc_0x0005[self.events]+=1self.myXEvent.arc_0x0005_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0004')>-1:self.myXEvent.arc_0x0004[self.events]+=1self.myXEvent.arc_0x0004_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0003')>-1:self.myXEvent.arc_0x0003[self.events]+=1self.myXEvent.arc_0x0003_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0002')>-1:self.myXEvent.arc_0x0002[self.events]+=1self.myXEvent.arc_0x0002_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0001')>-1:self.myXEvent.arc_0x0001[self.events]+=1self.myXEvent.arc_0x0001_frame[self.events]+=arcing_frame[j]+'|'elif arcing_type[j].rfind('0x0000')>-1:self.myXEvent.arc_0x0000[self.events]+=1self.myXEvent.arc_0x0000_frame[self.events]+=arcing_frame[j]+'|'else:self.myXEvent.arc_other[self.events]+=1self.myXEvent.arc_other_frame[self.events]+=arcing_frame[j]+'|'arcing_time=[]arcing_type=[] arcing_frame=[] #T1 events due to arcingnum_T1_arcing.append(len(T1_arcing_time))if len(T1_arcing_time) > 0: for j in range(len(T1_arcing_time)):T1_arcing_time_global.append(T1_arcing_time[0])T1_arcing_time.remove(T1_arcing_time[0])#Grid warningsnum_grid.append(len(grid_time)) #gibt an, wieviele grid warnings zu dem gegenwärtigen review-event gehörenself.myXEvent.grid_0x000A_frame.append('')self.myXEvent.grid_0x0009_frame.append('')self.myXEvent.grid_0x0008_frame.append('')self.myXEvent.grid_0x0007_frame.append('')self.myXEvent.grid_0x0006_frame.append('')self.myXEvent.grid_0x0005_frame.append('')self.myXEvent.grid_0x0004_frame.append('')self.myXEvent.grid_0x0003_frame.append('')self.myXEvent.grid_0x0002_frame.append('')self.myXEvent.grid_0x0001_frame.append('')self.myXEvent.grid_0x0000_frame.append('')self.myXEvent.grid_other_frame.append('')if len(grid_time) > 0:for j in range(len(grid_time)):if grid_type[j].rfind('0x000A')>-1:self.myXEvent.grid_0x000A[self.events]+=1self.myXEvent.grid_0x000A_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0009')>-1:self.myXEvent.grid_0x0009[self.events]+=1self.myXEvent.grid_0x0009_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0008')>-1:self.myXEvent.grid_0x0008[self.events]+=1self.myXEvent.grid_0x0008_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0007')>-1:self.myXEvent.grid_0x0007[self.events]+=1self.myXEvent.grid_0x0007_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0006')>-1:self.myXEvent.grid_0x0006[self.events]+=1self.myXEvent.grid_0x0006_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0005')>-1:self.myXEvent.grid_0x0005[self.events]+=1self.myXEvent.grid_0x0005_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0004')>-1:self.myXEvent.grid_0x0004[self.events]+=1self.myXEvent.grid_0x0004_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0003')>-1:self.myXEvent.grid_0x0003[self.events]+=1self.myXEvent.grid_0x0003_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0002')>-1:self.myXEvent.grid_0x0002[self.events]+=1self.myXEvent.grid_0x0002_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0001')>-1:self.myXEvent.grid_0x0001[self.events]+=1self.myXEvent.grid_0x0001_frame[self.events]+=grid_frame[j]+'|'elif grid_type[j].rfind('0x0000')>-1:self.myXEvent.grid_0x0000[self.events]+=1self.myXEvent.grid_0x0000_frame[self.events]+=grid_frame[j]+'|'else:self.myXEvent.grid_other[self.events]+=1self.myXEvent.grid_other_frame[self.events]+=grid_frame[j]+'|'grid_time_global.append(grid_time[j]) #speichere die Zeit des grid-eventsgrid_type_global.append(grid_type[j]) #speichere den Typ des arcing-events abgrid_time=[]grid_type=[] grid_frame=[] #Soll-FD-Dosistry:self.myXEvent.soll_fd_dosis.append(int(data_391p.group(17)))except:self.myXEvent.soll_fd_dosis.append(-1)# Date & timethetimestr=data.group(4)+':'+data.group(5)+':'+data.group(6)+' '+data.group(1)+'.'+data.group(2)+'.'+data.group(3)_time = data.group(3)+'-'+data.group(2)+'-'+data.group(1)+' '+data.group(4)+':'+data.group(5)+':'+data.group(6)thetime=time.strptime(thetimestr,"%H:%M:%S %d.%m.%Y")fl_time=time.mktime(thetime)event_dates.append(datetime.datetime.fromtimestamp(time.mktime(thetime)))Startzeit.append(_time)Datum_array.append(data.group(1))Time.append(fl_time)Tag.append(data.group(1))Monat.append(data.group(2))Jahr.append(data.group(3))Stunden.append(data.group(4))Minuten.append(data.group(5))Sekunden.append(data.group(6))TIME.append(_time)self.myXEvent.date[self.events]=fl_time# Modeif data.group(8) == '0002':alternative_acquisition.append(1) #zählt die Anzzahl der alternative-acquisition-eventsif(data.group(8)=='0001' or data.group(8)=='0002'): #Todo single Tag for Low Dose Acq.?self.myXEvent.mode[self.events]=ord('A')if data.group(8)=='0002':self.myXEvent.alt_acq[self.events]=1elif (data.group(8)=='0100'):self.myXEvent.mode[self.events]=ord('F')elif (data.group(8)=='0200'): #Biplane Fluoroself.myXEvent.mode[self.events]=ord('F')else:self.myXEvent.mode[self.events]=ord('0')#Soll-Szenenlaenge - nur Acq soll beruecksichtigt werdenif data.group(8) == '0001' or data.group(8) == '0002': self.myXEvent.soll_Szenenlaenge.append( round(float(data_391p.group(10))/(float(data1.group(11))/100.0 ),2)) else:self.myXEvent.soll_Szenenlaenge.append('600') #Fluoro 600s Sollszenenlaengeself.myXEvent.ist_Szenenlaenge.append(float(data1.group(8))/1000.)try: self.myXEvent.soll_kV.append(float(data_391p.group(12)))self.myXEvent.soll_mA.append(float(data_391p.group(13)))self.myXEvent.soll_ms.append(float(data_391p.group(14)))self.myXEvent.soll_WW.append(float(data_391p.group(11)))except:self.myXEvent.soll_kV.append(-1.)self.myXEvent.soll_mA.append(-1.)self.myXEvent.soll_ms.append(-1.)self.myXEvent.soll_WW.append(-1.)self.myXEvent.frames[self.events]=int(data.group(9))self.myXEvent.was[self.events]=float(data.group(10))self.myXEvent.wPawMode[self.events]=int(data.group(11))self.myXEvent.biplane[self.events]=actual_biplaneself.myXEvent.voltage[self.events]=float(data.group(12))self.myXEvent.current[self.events]=current453/scenetime453self.myXEvent.time[self.events]=float(data.group(14))if data.group(15)[-1]=='u':self.myXEvent.mAs[self.events]=float(data.group(15)[:-1])else:self.myXEvent.mAs[self.events]=float(data.group(15)[:-1])*1000.self.myXEvent.system_dose[self.events]=float(data.group(17))self.myXEvent.filt[self.events]=int(data.group(18))self.myXEvent.focus[self.events]=ord(data.group(19))self.myXEvent.zoom[self.events]=int(data.group(20))self.myXEvent.skindoserate[self.events]=dose453/scenetime453self.myXEvent.index[self.events]=int(data.group(22),16)#Axis DEV 1idx=data.group(22)if idx in act_axis_mode.keys() and idx in act_axis_resolution.keys():self.myXEvent.axis_mode.append(act_axis_mode[idx])del act_axis_mode[idx]self.myXEvent.resolution.append(act_axis_resolution[idx])del act_axis_resolution[idx]else:self.myXEvent.axis_mode.append('n a')self.myXEvent.resolution.append('n a')#from 453if data1.group(3)=='GP':self.myXEvent.gridpulse[self.events]=1 # grid onelse:self.myXEvent.gridpulse[self.events]=0 #grid offif current_SW_short[:-1] != 'VD1':self.myXEvent.gridpulse[self.events]=-1 #not defined (no grid pulse in versions <VD)try: if data1.group(3)!=preview.group(3):self.myXEvent.gridpulse[self.events]=-1 #grid errorexcept:print "missing preview" #probably RMtry: self.myXEvent.prevHU[self.events]=int(preview.group(7)) except:self.myXEvent.prevHU[self.events]=-1 self.myXEvent.SID[self.events]=float(data1.group(4))self.myXEvent.cran[self.events]=float(data1.group(5))self.myXEvent.rao[self.events]=float(data1.group(6)) self.myXEvent.DAP[self.events]=dap453 #float(data1.group(7)) self.myXEvent.HU[self.events]=int(data1.group(9))self.myXEvent.offset[self.events]=float(data1.group(10))if(self.myXEvent.offset[self.events]>32767):self.myXEvent.offset[self.events]=self.myXEvent.offset[self.events]-65536self.myXEvent.frequency[self.events]=float(data1.group(11))/100.0 if current_SW_short == 'VC14':self.myXEvent._3Dmode.append(data1.group(14))if self.myXEvent._3Dmode[self.events]=='NO' or self.myXEvent._3Dmode[self.events]=='N':self.myXEvent._3Dmode[self.events]='no3d'else: #VC20 ++self.myXEvent._3Dmode.append(data1.group(14)) #todo XT Um 3#3 auswerten in VC20if self.myXEvent._3Dmode[self.events]=='no3' or self.myXEvent._3Dmode[self.events]=='no' or self.myXEvent._3Dmode[self.events]=='n' : #because of problem with line length from ANGself.myXEvent._3Dmode[self.events]='no3d'if self.myXEvent._3Dmode[self.events]=='no3d':self.myXEvent.scenelength[self.events]=float(data1.group(8))else:self.myXEvent.scenelength[self.events]=scenetime453 #self.myXEvent.frames[self.events]/self.myXEvent.frequency[self.events]*1000. #evtl 0095 ACU besser oder summe beider 453?#from SYC 45 (new patient)if(new_pat==1):new_pat_time=fl_timeself.myXEvent.pat_in_time.append(new_pat_time)if(patient_number>0):self.myXEvent.pat_time.append((old_time-self.myXEvent.pat_in_time[patient_number-1])/60.0) #in Minuten Todo: time of last patient is missing?!if(old_time!=0):self.myXEvent.pat_out_time.append(old_time)self.myXEvent.pat_dap.append(temp_pat_dap)temp_pat_dap=0self.myXEvent.pat_skindose.append(temp_pat_skindose)temp_pat_skindose=0patient_number=patient_number+1 #Todo: z.B. kein neuer Patient wenn keine Strahlungevents aufgetreten sindself.myXEvent.pat_idx.append(self.events)new_pat=0self.pat_position.append(int(new_pat_position)) temp_pat_dap +=dap453temp_pat_skindose+=self.myXEvent.scenelength[self.events]/1000.*self.myXEvent.skindoserate[self.events]self.myXEvent.pat_number[self.events]=patient_number #time_between_xraysif self.events>0:time_between_xray.append(self.myXEvent.date[self.events]-self.myXEvent.date[self.events-1]-self.myXEvent.scenelength[self.events]/1000.)else:time_between_xray.append(-1.)#Program Number; from SYC 0056 select program if(self.myXEvent.mode[self.events]==ord('A')):self.myXEvent.p1[self.events]=prog1Aself.myXEvent.p2[self.events]=prog2Aelse:self.myXEvent.p1[self.events]=prog1Fself.myXEvent.p2[self.events]=prog2F#from AX_ACU 2097 self.myXEvent.OGP.append(actual_OGP.rstrip())#from ACU 0095self.myXEvent.Bsig[self.events]=int(data_acu95.group(9))self.myXEvent.FDmode.append(data_acu95.group(10))self.myXEvent.Mfield[self.events]=int(data_acu95.group(12),16)#from AX_SCU 221, 222, 224 (Table Positions, C-Arm Rotations, Robot angles)if len(scu_T1)==0:self.myXEvent.scu_T1[self.events]=8888.self.myXEvent.scu_base_rot[self.events]=8888.self.myXEvent.scu_table_rot[self.events]=8888.self.myXEvent.scu_table_tilt[self.events]=8888.self.myXEvent.scu_table_cradle[self.events]=8888.self.myXEvent.scu_carm_rot[self.events]=8888.self.myXEvent.scu_carm_orb[self.events]=8888.self.myXEvent.alpha_orb[self.events]=8888.self.myXEvent.alpha_xray[self.events]=8888.self.myXEvent.table_height[self.events]=8888. self.myXEvent.gamma[self.events]=8888. else: self.myXEvent.scu_T1[self.events]=scu_T1[-1]self.myXEvent.scu_T2[self.events]=scu_T2[-1]self.myXEvent.scu_T3[self.events]=scu_T3[-1] self.myXEvent.table_height[self.events]= (scu_T1[-1]-106.) #wrong for ROS and MP!!! self.myXEvent.scu_base_rot[self.events]=scu_base_rot[-1]self.myXEvent.scu_table_rot[self.events]=scu_table_rot[-1]self.myXEvent.scu_table_tilt[self.events]=scu_table_tilt[-1]self.myXEvent.scu_table_cradle[self.events]=scu_table_cradle[-1]self.myXEvent.scu_carm_rot[self.events]=scu_carm_rot[-1]self.myXEvent.scu_carm_orb[self.events]=scu_carm_orb[-1]if self.myXEvent.SystemType=='Robot Stand':if len (alpha_orb_rob)>0:self.myXEvent.alpha_orb[self.events]=alpha_orb_rob[-1]else:self.myXEvent.alpha_orb[self.events]=8888.self.myXEvent.gamma[self.events]=8888. else:self.myXEvent.alpha_orb[self.events]=alpha_orb[-1]#Set (0,0,0) to ISO centrum if C-arm is in headside position# should be table pos (T1=Tablelift=106, T2=TableLong=75, dist_focus_iso=self.myXEvent.IR+15. #75 cm oder 78.5 cm oder frei bei ROStable_object_distance_z=18. #TOD aus system.caf (Table Object Distance)cran_rad=self.myXEvent.cran[self.events]*np.pi/180.rao_rad=self.myXEvent.rao[self.events]*np.pi/180.table_floor_distance=106. #Tisch im Isozentrum#Heart pos vector#A: x(l,m)=l*e_x+m*e_y+e_z*(Tischpos_z+10cm)heart_pos=np.matrix([scu_T2[-1]-78.5,scu_T3[-1],scu_T1[-1]-table_floor_distance+table_object_distance_z])heart_pos2=np.matrix([scu_T2[-1]-78.5,scu_T3[-1],scu_T1[-1]-table_floor_distance])heart_pos_z=heart_pos[0,2]#X-ray Gerade: #tube_FD_vec: y(k)= e_z*ISO_z-dist(focus,iso)*tube_xray_rot_v +k*tube_xray_rot_vtube_xray_vec=np.matrix([sin(cran_rad) ,cos(cran_rad)*sin(rao_rad),cos(cran_rad)*cos(rao_rad)])tube_xray_vec_z=tube_xray_vec[0,2]#Ursprung Strahlungsvektortube_focal_spot_pos= -dist_focus_iso*tube_xray_vectube_focal_spot_pos_z=tube_focal_spot_pos[0,2]self.myXEvent.tube_focal_spot_pos_table.append((heart_pos2,tube_xray_vec))#abs_vec=np.linalg.norm(tube_xray_vec,2)#min Abstand Heart zu X-ray#dist=np.linalg.norm(np.cross(tube_xray_vec,tube_focal_spot_pos-heart_pos),2)#SODswitch_angle=50if abs(self.myXEvent.cran[self.events])>switch_angle or abs(self.myXEvent.rao[self.events])>switch_angle:SOD=dist_focus_isoelse: SOD=(-tube_focal_spot_pos_z+heart_pos_z)/tube_xray_vec_zgamma=scu_sid[-1]/SOD self.myXEvent.gamma[self.events]=gamma #Vergroesserungsfaktorself.myXEvent.SOD[self.events]=SOD#--------BE-----------if(self.myXEvent.mode[self.events]==ord('F')):weight_factor=1./30.else: #Acq.weight_factor=1./2.if(self.myXEvent.focus[self.events]==ord('S')):F1_add=self.myXEvent.scenelength[self.events]/1000.*weight_factor F2_add=0FG_add=0 elif(self.myXEvent.focus[self.events]==ord('L')):F1_add=0F2_add=self.myXEvent.scenelength[self.events]/1000.*weight_factor FG_add=0else: #FGF1_add=0F2_add=0FG_add=self.myXEvent.scenelength[self.events]/1000.*weight_factor self.myXEvent.BE_F1[self.events]=F1_add self.myXEvent.BE_F2[self.events]=F2_addself.myXEvent.BE_FG[self.events]=FG_addself.myXEvent.BE_total[self.events]=F1_add+F2_add+FG_add#prepare next eventACU_ID=-1#print 'event: ',self.eventsself.events=self.events+1if self.events>=self.myXEvent.range-1:print "Too many X-ray events to analyse in given period! Stopping with analysis at current event!"max_iter_reached=Truebreakold_time=fl_time #for calculation of duration of intervention last event<=>old_time#reset flags and re resultsexist_453=0exist_391=0exist_p453=0exist_p391=0acu_exist=0dap453=0dose453=0current453=0scenetime453=0data_391p=Nonedata=Nonedata_391p=Nonedata1=Nonepreview=Nonedata_acu95=Noneactual_OGP='None' actual_biplane=0else:1#print 'event '+data.group(22)+'i skipped!' #Abschluss Patientenzeitenif(self.myXEvent.pat_in_time.__len__()>0):self.myXEvent.pat_time.append((old_time-self.myXEvent.pat_in_time[patient_number-1])/60.0) #in Minuten self.myXEvent.pat_out_time.append(old_time) #Abschluss Cooling time (no Switch off at the end...) if len(cooling_state)>0:if cooling_state[-1]==1:idx1=len(envtime2d)-1idx2a=bisect.bisect_left(envtime2d,dateutil.parser.parse(cooling_time[-1]) )if idx2a==len(envtime2d):idx2a-=1idx2b=bisect.bisect_right(envtime2d,dateutil.parser.parse(cooling_time[-1]) )if idx2b==len(envtime2d):idx2b-=1try:if envtime2d[idx2a]-dateutil.parser.parse(cool_time)<envtime2d[idx2b]-dateutil.parser.parse(cool_time):idx2=idx2aelse:idx2=idx2bexcept:idx2=idx2bcool_duration=idx1-idx2cooling_ontime.append(cool_duration*60.) #in seconds self.myXEvent.pat_dap.append(temp_pat_dap)self.myXEvent.pat_skindose.append(temp_pat_skindose) self.myXEvent.pat_idx.append(self.events) if self.myXEvent.SW==[]:self.myXEvent.SW.append('n.a.')#------------------------------------------------------------------def calc_derived_measurements(self):#---change scenelength because of large deviations of value from 453 telegram ----- vari frame rate???#for i in range(len(preview_SID)): # if self.myXEvent._3Dmode[i]=='no3d':# self.myXEvent.scenelength[i]=self.myXEvent.frames[i]/self.myXEvent.frequency[i]*1000.#----Skindose from scene/[µGy]----self.myXEvent.skindose=self.myXEvent.scenelength/1000.*self.myXEvent.skindoserate#----maxArea \[cm²]----- for recognition of halftransparent at IRzooms_large_FD=[48, 42, 32, 22, 16, 11]; #Diagonale in [cm]zooms_small_FD=[25, 20, 16, 10]; zooms_midsize_FD=[39,32,26,20,16,10]; for i in range(len(preview_SID)): if(self.myXEvent.FDtype=='4700' or self.myXEvent.FDtype=='3040'): #temp1=float(zooms_large_FD[1+int(self.myXEvent.zoom[i])]*zooms_large_FD[1+int(self.myXEvent.zoom[i])])temp1=float(zooms_large_FD[int(self.myXEvent.zoom[i])]*zooms_large_FD[int(self.myXEvent.zoom[i])])temp2=(self.myXEvent.IR/self.myXEvent.SID[i])*(self.myXEvent.IR/self.myXEvent.SID[i]) # Eingangsfläche 15 cm über Tisch in cm²self.myXEvent.maxarea[i]=temp1/2.0*temp2if(self.myXEvent.zoom[i]==0):self.myXEvent.maxarea[i]=29.6*38.2*(self.myXEvent.IR/self.myXEvent.SID[i])*(self.myXEvent.IR/self.myXEvent.SID[i]); elif (self.myXEvent.FDtype=='4800'): self.myXEvent.maxarea[i]=zooms_small_FD[0+int(self.myXEvent.zoom[i])]*zooms_small_FD[0+int(self.myXEvent.zoom[i])]/2*(self.myXEvent.IR/self.myXEvent.SID[i])*(self.myXEvent.IR/self.myXEvent.SID[i]); # Eingangsflaeche 15 cm ueber Tisch in cm²else: #self.myXEvent.FDtype=='Midsize Type 2a/2b Detector' !!!Achtung EAS: Midsize hat andere evtl. Groesseself.myXEvent.maxarea[i]=zooms_midsize_FD[0+int(self.myXEvent.zoom[i])]*zooms_midsize_FD[0+int(self.myXEvent.zoom[i])]/2*(self.myXEvent.IR/self.myXEvent.SID[i])*(self.myXEvent.IR/self.myXEvent.SID[i]); # Eingangsflaeche 15 cm ueber Tisch in cm²if(self.myXEvent.zoom[i]==0):self.myXEvent.maxarea[i]=1792.0*1632*0.160*0.160*(self.myXEvent.IR/self.myXEvent.SID[i])*(self.myXEvent.IR/self.myXEvent.SID[i])/100.; #/100. wg mm²->cm²#----Area (from Collimator params)----self.myXEvent.area=100.*self.myXEvent.DAP/self.myXEvent.skindose #Achtung Division durch Null kann vorkommen (fehlerhafte Skindosewerte!)self.myXEvent.area[np.isnan(self.myXEvent.area)]=0self.myXEvent.area[np.isinf(self.myXEvent.area)]=0#----Dutycycle----self.myXEvent.dutycycle=self.myXEvent.time*self.myXEvent.frequency/1000.0#----Dose efficiency--cu_atten_fac=self.kV_Cu_attenuation_factor() #calculation of kV-specific Cu-attenuation Vector#DoseEff=Skindoserate/mA/ms/Freq*kV_Dose(125)/kV_Dose(kV)/Cu_atten(kV,Cu)*SID_factor#self.myXEvent.dose_per_mAs=self.myXEvent.skindose/self.myXEvent.current/self.myXEvent.time/self.myXEvent.frames/self.kV_dose_factor(self.myXEvent.voltage)*self.kV_dose_factor(125)*cu_atten_fac*self.myXEvent.SID_factor*1000.0; #1000 wegen ms->sself.myXEvent.dose_per_mAs=self.myXEvent.skindose/self.myXEvent.mAs/self.myXEvent.frames*cu_atten_fac*self.myXEvent.SID_factor*1000.0;#org###self.myXEvent.dose_per_mAs=self.myXEvent.skindose/self.myXEvent.current/self.myXEvent.time/self.myXEvent.frames*cu_atten_fac*self.myXEvent.SID_factor*1000.0; #1000 wegen ms->s#self.myXEvent.dose_per_mAs=self.myXEvent.skindoserate/self.myXEvent.current/self.myXEvent.time/self.myXEvent.frequency/self.kV_dose_factor(self.myXEvent.voltage)*self.kV_dose_factor(125)/cu_atten_fac*self.myXEvent.SID_factor*1000.0; #1000 wegen ms->s #----Physical Dose----ZDF_Large=[0.5,0.5,0.71,1,1.41,2];ZDF_Small=[0.85,1.1,1.4,2.2];ZDF_Midsize=[0.57,0.70,0.84,1.1,1.4,2.2];for i in range(len(preview_SID)):if(self.myXEvent.FDtype=='4700' or self.myXEvent.FDtype=='3040'): #large FDself.myXEvent.SysDose_with_ZDF[i]=self.myXEvent.system_dose[i]*ZDF_Large[int(self.myXEvent.zoom[i])]elif(self.myXEvent.FDtype=='4800'): #large FDself.myXEvent.SysDose_with_ZDF[i]=self.myXEvent.system_dose[i]*ZDF_Small[int(self.myXEvent.zoom[i])]else: #Midiszeself.myXEvent.SysDose_with_ZDF[i]=self.myXEvent.system_dose[i]*ZDF_Midsize[int(self.myXEvent.zoom[i])]#-----10R Limit-----(only Fluoro), is set to 0 for Acq.#SID_factor ist für Umrechung Skindose von IR auf 100cmdist_factor=self.myXEvent.SID_factor*(100./(self.myXEvent.SID-34.))*(100./(self.myXEvent.SID-34.))self.myXEvent._10Rlimit=self.myXEvent.skindoserate*(self.myXEvent.mode==70)*60.0/1000.0*dist_factor/8.7 #in R/min, 1R=8.7mGy (skindoserate in [µGy/s]) #anpassen von environment log zeiten an strahlzeitenself.myXEvent.act_tube_freq=zeros(self.events) #defaults =0self.myXEvent.driv_tube_freq=zeros(self.events)self.myXEvent.driv_current=zeros(self.events)self.myXEvent.oil_temp=zeros(self.events)if(len(self.AuswahlEnvLogs)>0 and self.cb_EnvLog.GetValue() and self.events>0):#take shortest timearray to avoid illegal array accessif len(self.envtime)>0: if len(self.envtime3)>0: #VD10+if len(self.envtime)<len(self.envtime3) and len(self.envtime)<len(self.envtime2):temp_date=[dateutil.parser.parse(x) for x in self.envtime]elif len(self.envtime2)<len(self.envtime3) and len(self.envtime2)<len(self.envtime):temp_date=[dateutil.parser.parse(x) for x in self.envtime2]else:temp_date=[dateutil.parser.parse(x) for x in self.envtime3]else: #if len(self.envtime)<len(self.envtime2):temp_date=[dateutil.parser.parse(x) for x in self.envtime]else:temp_date=[dateutil.parser.parse(x) for x in self.envtime2]if len(self.t0_time)>0:temp_date2=[dateutil.parser.parse(x) for x in self.t0_time] for i in range(self.events):itime=dateutil.parser.parse(TIME[i])if len(self.envtime)>0:idx=bisect_left(temp_date,itime)if idx==len(temp_date):idx-=1try:if abs(temp_date[idx]-itime)<datetime.timedelta(minutes=1):self.myXEvent.act_tube_freq[i]=self.act_tube_freq[idx] self.myXEvent.driv_tube_freq[i]=self.driv_tube_freq[idx] self.myXEvent.driv_current[i]=self.driv_current[idx] else: #too much time in betweenself.myXEvent.act_tube_freq[i]=-1self.myXEvent.driv_tube_freq[i]=-1self.myXEvent.driv_current[i]=-1 except:1else:self.myXEvent.act_tube_freq[i]=-1self.myXEvent.driv_tube_freq[i]=-1self.myXEvent.driv_current[i]=-1 if len(self.t0_time)>0: #not available for Megalix in VC21, VC14; VD11???idx2=bisect_left(temp_date2,itime)if idx2==len(temp_date2):idx2-=1if abs(temp_date2[idx2]-itime)<datetime.timedelta(minutes=2):self.myXEvent.oil_temp[i]=self.t0_temp[idx2]else:self.myXEvent.oil_temp[i]=-1 else:self.myXEvent.oil_temp[i]=-1 ### #replace Xray parameters in arcing events with corrupted ANG entriesfor i in range(len(arcing_time_global)):if arcing_idx_global[i]!=0:if int(arcing_idx_global[i],16) in self.myXEvent.index:i2=np.where(self.myXEvent.index ==int(arcing_idx_global[i],16))[0][0] #number of xeventarc_idx=[j for j, x in enumerate(arcing_idx_global) if x == arcing_idx_global[i]] #list of arc indices with same xray idfor k in arc_idx:arcing_kV_global[k]=self.myXEvent.voltage[i2]arcing_mA_global[k]=self.myXEvent.current[i2]arcing_ms_global[k]=self.myXEvent.time[i2]arcing_ogp_global[k]=self.myXEvent.OGP[i2]##################### emitter temperature and tungsten evaporation rate#for i in range(len(preview_SID)): # self.heating_current[i]=4#self.emitter_temp=numpy.zeros(self.range)#self.tungst_evaporation_rate=numpy.zeros(self.range)self.calc_heating_current_emitter_temp_tungst_eva_rate()#------------------------------------------------------------------def calc_heating_current_emitter_temp_tungst_eva_rate(self):prom_test = Falseif (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==3): #3F Gigalixspec_tubeprom_filename="g253685_specific.xml"elif (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==2): #2F Gigalixspec_tubeprom_filename="g4086_specific.xml"elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==2): #2F Megalix Cat+spec_tubeprom_filename="m4090_specific_Draft02.xml"elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==3): #3F Megalix Cat+spec_tubeprom_filename="m204080_specific_Draft_Olli.xml"else:prom_test = False if prom_test ==True: prom_return = parseXMLTubeProm_special(self.myXEvent.numFoken,spec_tubeprom_filename)if prom_return==False:prom_test=Falseelse:prom_test=TruekVs =prom_return[0]tube_currents =prom_return[1]heating_currents =prom_return[2]#F1kVs_F1=np.array(kVs['small'])tube_currents_F1=np.array(tube_currents['small']) # in [V]heating_currents_F1=np.array(heating_currents['small']) # in [0.1 mA]heating_currents_F1=heating_currents_F1.reshape([1,-1])[0] # in [0.1 mA]#F2kVs_F2=np.array(kVs['large'])tube_currents_F2=np.array(tube_currents['large'])heating_currents_F2=np.array(heating_currents['large'])heating_currents_F2=heating_currents_F2.reshape([1,-1])[0]#FGif self.myXEvent.numFoken==3:kVs_FG=np.array(kVs['micro'])tube_currents_FG=np.array(tube_currents['micro'])heating_currents_FG=np.array(heating_currents['micro'])heating_currents_FG=heating_currents_FG.reshape([1,-1])[0]if prom_test: for i in range(self.events): if self.myXEvent.focus[i]==ord('S'):self.myXEvent.heating_current[i]=self.my_linear_interpol2d(kVs_F1,tube_currents_F1,heating_currents_F1,self.myXEvent.voltage[i]*1000,self.myXEvent.current[i]*10.)/10.elif self.myXEvent.focus[i]==ord('L'):self.myXEvent.heating_current[i]=self.my_linear_interpol2d(kVs_F2,tube_currents_F2,heating_currents_F2,self.myXEvent.voltage[i]*1000,self.myXEvent.current[i]*10.)/10.else:self.myXEvent.heating_current[i]=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,self.myXEvent.voltage[i]*1000,self.myXEvent.current[i]*10.)/10.self.myXEvent.emitter_temp[i]=self.get_filament_temp(self.myXEvent.heating_current[i])self.myXEvent.tungst_evaporation_rate[i]=self.get_evap_rate(self.myXEvent.emitter_temp[i])self.myXEvent.tungst_thickness[i]=self.get_evap_rate(self.myXEvent.emitter_temp[i])*self.myXEvent.scenelength[i]/60./60./1000.return
#------------------------------------------------------------------def my_linear_interpol2d(self,x_arr,y_arr,z_values,x,y): if x<min(x_arr):x=min(x_arr)if x>max(x_arr):x=max(x_arr)if y<min(y_arr):y=min(y_arr)if y>max(y_arr):y=max(y_arr)x_0_idx=min(range(len(x_arr)), key=lambda i: abs(x_arr[i]-x))x_0=x_arr[x_0_idx]if x_0<x or (x_0==x and x==min(x_arr)):x_1_idx=x_0_idx+1x_1=x_arr[x_1_idx]else:x_1_idx=x_0_idx-1x_1=x_arr[x_1_idx]y_0_idx=min(range(len(y_arr)), key=lambda i: abs(y_arr[i]-y))y_0=y_arr[y_0_idx]if y_0<y or (y_0==y and y==min(y_arr)):y_1_idx=y_0_idx+1y_1=y_arr[y_1_idx]else:y_1_idx=y_0_idx-1y_1=y_arr[y_1_idx]z_00_idx=x_0_idx+y_0_idx*len(x_arr) z_10_idx=x_1_idx+y_0_idx*len(x_arr) z_01_idx=x_0_idx+y_1_idx*len(x_arr) z_11_idx=x_1_idx+y_1_idx*len(x_arr) z_00=float(z_values[z_00_idx])z_10=float(z_values[z_10_idx])z_01=float(z_values[z_01_idx])z_11=float(z_values[z_11_idx])z_m0=(z_00-z_10)/(float(x_0)-float(x_1))*(x-float(x_0))+z_00z_m1=(z_01-z_11)/(float(x_0)-float(x_1))*(x-float(x_0))+z_01z_mm=(z_m0-z_m1)/(float(y_0)-float(y_1))*(y-float(y_0))+z_m0return z_mm#------------------------------------------------------------------def my_linear_interpol1d(self,x_arr,z_values,x): if x<min(x_arr):x=min(x_arr)if x>max(x_arr):x=max(x_arr)x_0_idx=min(range(len(x_arr)), key=lambda i: abs(x_arr[i]-x))x_0=x_arr[x_0_idx]if x_0<x or (x_0==x and x==min(x_arr)):x_1_idx=x_0_idx+1x_1=x_arr[x_1_idx]else:x_1_idx=x_0_idx-1x_1=x_arr[x_1_idx]z_00_idx=x_0_idx z_10_idx=x_1_idx z_00=float(z_values[z_00_idx])z_10=float(z_values[z_10_idx])z_mm=(z_00-z_10)/(float(x_0)-float(x_1))*(x-float(x_0))+z_00return z_mm#------------------------------------------------------------------def get_filament_temp(self,current): #in [mA]return (2550.-2200.)/900.*(current-4200.)+2200. #aus powerpoint "Zusammenfassung FG Problem; July 2013" - Temperaturabhaengigkeit nur für Wendel (220um Dicke) FG richtig!!! #------------------------------------------------------------------def get_filament_heat_current(self,temperature): #in [mA]return (temperature-2200.)*900/(2550.-2200.)+4200. #aus powerpoint "Zusammenfassung FG Problem; July 2013" - Temperaturabhaengigkeit nur für Wendel (220um Dicke) FG richtig!!! #------------------------------------------------------------------def get_evap_rate(self,temp): #in [µm/h]return 1.0e-17*math.exp(0.0147*temp) #aus powerpoint "Zusammenfassung FG Problem; July 2013" - Temperaturabhaengigkeit nur für Wendel (220um Dicke) FG richtig!!!???#dortige Quelle: Handbook of Chemistry and Physics 65. Auflage
#------------------------------------------------------------------def calc_power_vs_prom(self):#Test vs Tube Prom (Attention: kV, ms, mA Values in ANG review are mean values prom_test = Trueif (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==3): #3F Gigalixtubeprom_filename="g253685.xml"elif (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==2): #2F Gigalixtubeprom_filename="g4086.xml"elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==2): #2F Megalix Cat+tubeprom_filename="m4090_Draft02.xml"elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==3): #3F Megalix Cat+tubeprom_filename="m204080_Draft_Olli.xml"else:prom_test = Falseif prom_test ==True: prom_return = parseXMLTubeProm(self.myXEvent.numFoken,tubeprom_filename)if prom_return==False:prom_test=Falseelse:prom_test=Trueself.SerialLoadTable200=prom_return[0]self.SerialLoadTable=prom_return[1]self.myDutyCycle=prom_return[2]self.mySceneTime=prom_return[3]self.PulseDuration=prom_return[4]self.ConstantLoad=prom_return[5]self.xrayVoltage=prom_return[6]self.maxCurrAcq=prom_return[7]self.maxCurrFluoro=prom_return[8] for i in range(self.events): if prom_test: dutycycle_soll=self.myXEvent.dutycycle[i]*self.myXEvent.soll_ms[i]/self.myXEvent.time[i]maxCurrSerialLoad_Istzeit =self.calcStromSerie(self.myXEvent.dutycycle[i]*100., self.myXEvent.scenelength[i]/1000. , self.myXEvent.focus[i])/self.myXEvent.voltage[i]*1000.if self.myXEvent.time[i]==0:dutycycle_soll=0try: maxCurrSerialLoad_Sollzeit =self.calcStromSerie(dutycycle_soll*100. , float(self.myXEvent.soll_Szenenlaenge[i]), self.myXEvent.focus[i])/self.myXEvent.soll_kV[i]*1000.except:blubb=1cooling_pow=self.get_power_from_HU(self.myXEvent.prevHU[i])cooling_pow=max(200,cooling_pow) #minimum 200W = 10%HUif EA_IC!='':maxCurrSerialLoad_dyn=self.calcStromSerieDyn(self.myXEvent.dutycycle[i]*100., self.myXEvent.scenelength[i]/1000. , self.myXEvent.focus[i],cooling_pow )/self.myXEvent.voltage[i]*1000.maxCurrDurchgriff_Prev=self.calcStromDurchgriff(self.myXEvent.soll_kV[i],self.myXEvent.mode[i], self.myXEvent.focus[i]) #Soll maxCurrDurchgriff_Rev=self.calcStromDurchgriff(self.myXEvent.voltage[i],self.myXEvent.mode[i], self.myXEvent.focus[i]) #Istif (self.myXEvent.frequency[i]==0.01): #ConstantLoad/Single ShotmaxCurrSerialLoad_Istzeit=self.calcConstantLoad(self.myXEvent.time[i],self.myXEvent.focus[i])/self.myXEvent.voltage[i]*1000.maxCurrSerialLoad_Sollzeit=self.calcConstantLoad(self.myXEvent.soll_ms[i],self.myXEvent.focus[i])/self.myXEvent.soll_kV[i]*1000.self.myXEvent.maxPower_Sollzeit.append(min(maxCurrDurchgriff_Prev,maxCurrSerialLoad_Sollzeit)*self.myXEvent.soll_kV[i]/1000.) #correct serial load table is chosen in fuction internalyself.myXEvent.maxPower_Istzeit.append(min(maxCurrDurchgriff_Rev,maxCurrSerialLoad_Istzeit)*self.myXEvent.voltage[i]/1000.) self.myXEvent.maxCurrentRev_punchthrough[i]=maxCurrDurchgriff_Revself.myXEvent.maxCurrentPrev.append(min(maxCurrDurchgriff_Prev,maxCurrSerialLoad_Sollzeit)) #max Preview Currentself.myXEvent.maxCurrentRev.append(min(maxCurrDurchgriff_Rev,maxCurrSerialLoad_Istzeit)) #max Review Currentif EA_IC!='':self.myXEvent.maxPowerdyn.append(min(maxCurrDurchgriff_Rev,maxCurrSerialLoad_dyn)*self.myXEvent.voltage[i]/1000.) #Achtung Fluoro limit Durchgriff 250mA!!!else:self.myXEvent.maxPower_Sollzeit.append(-1)self.myXEvent.maxPower_Istzeit.append(-1)self.myXEvent.maxCurrentPrev.append(-1)self.myXEvent.maxCurrentRev.append(-1)self.myXEvent.maxPowerdyn.append(-1)
#------------------------------------------------------------------def extract_ivs_hw_info(self):tab=self.notebook.GetSelection()self.sys_model='n a'self.gpu_model=[]if tab==3:#tab==1,2?if len (self.AuswahlIVS_Systemlog)>0: last_ivs_file=self.AuswahlIVS_Systemlog[-1]try:zf = zipfile.ZipFile(self.AuswahlIVS_Systemlog_dict[last_ivs_file,'zipfile'])fp = zf.open(self.AuswahlIVS_Systemlog_dict[(last_ivs_file,'fullname')])ivs_txt=fp.readlines()fp.close()for line in ivs_txt:# System model: 0402000000dd=re.search(r'System model: (.+)',line.strip())if dd!=None:self.sys_model=dd.group(1)dd=re.search(r'Video processor: (.+)',line.strip())if dd!=None:self.gpu_model.append(dd.group(1))if self.gpu_model==[]:self.gpu_model.append('n a')return Trueexcept:print 'error during ivs syslog analysis'self.gpu_model.append('n a')return False
#------------------------------------------------------------------def extract_scu_caf_info(self):tab=self.notebook.GetSelection()scu_dat='n a'if tab==3:#tab==1,2?if len (self.Auswahl_scu_caf)>0: last_scu_caf=self.Auswahl_scu_caf[-1]try:zf = zipfile.ZipFile(self.Auswahl_scu_caf_dict[last_scu_caf,'zipfile'])fp = zf.open(self.Auswahl_scu_caf_dict[(last_scu_caf,'fullname')])scu_caf_txt=fp.readlines()fp.close()for line in scu_caf_txt:if line.find('Manual Table Top panning without pressing TCM')>-1:if line.find('Yes')>-1: scu_dat='Yes'elif line.find('No')>-1: scu_dat='No'else: scu_dat='n a'except:print 'error during scu.caf analysis'return scu_dat#------------------------------------------------------------------ def extract_examsets(self): tab=self.notebook.GetSelection()ret=Trueexamset_txt=u''old_examset_txt=u''do_comparison=Falseold_set_acq=set([])old_set_fl=set([])old_set_rm=set([])old_set_alt=set([])self.ACQ_set={}self.FL_set={}self.RM_set={}self.ALT_set={}self.ogp_del={}self.ogp_new={}self.ogp_change={}self.ogp_diff={}if len(self.AuswahlExamSet)>0 and (tab==3 or tab==0):for exam_file in self.AuswahlExamSet:#print exam_filetry:if tab==0: fp=open(exam_file, 'r')#examset_txt=fp.read()#fp=codecs.open(exam_file, "r", "utf-8")examset_txt=fp.read()fp.close()elif tab==3:zf = zipfile.ZipFile(self.AuswahlExamSet_dict[exam_file,'zipfile'])fp = zf.open(self.AuswahlExamSet_dict[(exam_file,'fullname')]) examset_txt=fp.read()fp.close()init_examset=Falsecurr_examset_date=exam_file[9:19]if exam_file==self.AuswahlExamSet[0]:init_examset=Trueif examset_txt!='':#if exam_file==self.AuswahlExamSet[0]:old_examset_txt=examset_txtdo_comparison=not self.examsets_identical(old_examset_txt,examset_txt)old_examset_txt=examset_txtelse:do_comparison=Falseif do_comparison:(ACQ_set,FL_set,RM_set,ALT_set,acq_params,fl_params,rm_params,alt_params,ogp_diff,acq_idx,fl_idx,rm_idx,alt_idx)=analyze_examsets(examset_txt.decode('unicode-escape'))act_set_acq=set(acq_idx.values())act_set_fl=set(fl_idx.values())act_set_rm=set(rm_idx.values())act_set_alt=set(alt_idx.values())if not init_examset:#ACQself.ogp_del[curr_examset_date,'ACQ']=list(set.difference(old_set_acq,act_set_acq)) #check newself.ogp_new[curr_examset_date,'ACQ']=list(set.difference(act_set_acq,old_set_acq)) #deck deletedself.ogp_change[curr_examset_date,'ACQ']=[]for ogp in set.intersection(act_set_acq,old_set_acq): #detect changes if ACQ_set[ogp]!=self.ACQ_set[ogp]:changes=[]for param in acq_params: try:if ACQ_set[ogp][param]!=self.ACQ_set[ogp][param]:changes.append((param,self.ACQ_set[ogp][param],ACQ_set[ogp][param])) except:print 'skipping param '+param+' in ogp '+ogpself.ogp_change[curr_examset_date,'ACQ'].append((ogp,changes))#FL self.ogp_del[curr_examset_date,'FL']=list(set.difference(old_set_fl,act_set_fl)) #check newself.ogp_new[curr_examset_date,'FL']=list(set.difference(act_set_fl,old_set_fl)) #deck deletedself.ogp_change[curr_examset_date,'FL']=[]for ogp in set.intersection(act_set_fl,old_set_fl): #detect changes if FL_set[ogp]!=self.FL_set[ogp]:changes=[]for param in fl_params:try: if FL_set[ogp][param]!=self.FL_set[ogp][param]:changes.append((param,self.FL_set[ogp][param],FL_set[ogp][param]))except:print 'skipping param '+param+' in ogp '+ogpself.ogp_change[curr_examset_date,'FL'].append((ogp,changes))#RM self.ogp_del[curr_examset_date,'RM']=list(set.difference(old_set_rm,act_set_rm)) #check newself.ogp_new[curr_examset_date,'RM']=list(set.difference(act_set_rm,old_set_rm)) #deck deletedself.ogp_change[curr_examset_date,'RM']=[]for ogp in set.intersection(act_set_rm,old_set_rm): #detect changes if RM_set[ogp]!=self.RM_set[ogp]:changes=[]for param in rm_params: try:if RM_set[ogp][param]!=self.RM_set[ogp][param]:changes.append((param,self.RM_set[ogp][param],RM_set[ogp][param])) except:print 'skipping param '+param+' in ogp '+ogpself.ogp_change[curr_examset_date,'RM'].append((ogp,changes))old_set_acq=act_set_acq old_set_fl=act_set_fl old_set_rm=act_set_rmold_set_alt=act_set_alt self.ACQ_set.update(ACQ_set)self.FL_set.update(FL_set)self.RM_set.update(RM_set)self.ALT_set.update(ALT_set)self.acq_params=acq_paramsself.fl_params=fl_paramsself.rm_params=rm_paramsself.alt_params=alt_paramsself.ACQ_ogps=self.ACQ_ogps.union(acq_idx.values())self.FL_ogps=self.FL_ogps.union(fl_idx.values())self.RM_ogps=self.RM_ogps.union(rm_idx.values())self.ALT_ogps=self.ALT_ogps.union(alt_idx.values())self.ogp_diff.update(ogp_diff)except Exception,e:print eprint 'error during exam set analysis'ret=Falsereturn ret#------------------------------------------------------------------def examsets_identical(self,examset1,examset2):examset1=examset1.split('\n')examset2=examset2.split('\n')if examset1[2:]==examset2[2:]:return Trueelse:return False #------------------------------------------------------------------ def save_data(self):#output to fileglobal rac_optab=self.notebook.GetSelection()fromDate = str(self.start__datum.date()).replace(' ','_')toDate = str(self.ende__datum.date()).replace(' ','_')Anzahltage=((self.ende__datum-self.start__datum).days+1)self.extract_ivs_hw_info()scu_dat=self.extract_scu_caf_info()self.success_examsets=self.extract_examsets()if self.events>0:outputfile = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate +'_plane_' + str(self.plane) + '_events.csv')fw = open(outputfile, "w")headline=("Date+Time"+",Index,Focus"+",Number,Rate/[Hz]"+",Volt/[kV]"+",Curr/[mA]"+",Time/[ms]"+",Power/[kW]"+",meanPower/[kW]"+",Modus"+",Biplane"+",AltAcq"+",Axis_mode"+",Resolution"+",SID/[cm]"+",WW/[mm]"+",Cu-Filt"+",Zoom"+",FD-Dosis/[nGy]"+",phys.FD-Dose[nGy]"+",Bsig"+",FD mode"+",M-Field"+",CRAN/[grad]"+",RAO/[grad]"+",Table Height/[cm]"+",SOD/[cm]"+",Gamma"+",Gantry_Rot/[grad]"+",SkinDoseRate/[uGy/s]"+",Study"+",Area/[cm*cm]"+",maxArea/[cm*cm]"+",SkinDose/[uGy]"+",DAP/[0.01uGy*m*m]"+",Dose yield[uGy/mAs]"+",Scenelength/[s]"+",Dutycycle"+",3D-Mode"+",HU/[proz]"+",Dyn. Offset"+",wPawMode_"+",BE"+",P1"+",P2"+",OGP"+",Pos. Prev. = Rev."+",arcing"+",time_between_xray/[s]"+",Soll-Szenenlaenge/[s]"+",Soll-FD-Dosis/[nGy]"+",OGP_ms"+",kV_ms"+",kV_dose"+",CArm_rot/[grad]"+",CArm_orb/[grad]"+",TableLift/[cm]"+",TableLong/[cm]"+",TableTrans/[cm]"+",TableRot"+",TableTilt"+",TableCradle"+",alpha_orb/[grad]"+",weekday"+",act_tube_freq/[Hz]"+",drive_tube_freq/[Hz]"+",drive current/[mA]"+",oil temperatur/[C]"+",gridpulse" +",arc_0x001A"+",arc_0x001A_#fr"+",arc_0x001B"+",arc_0x001B_#fr"+",arc_0x001C"+",arc_0x001C_#fr"+",arc_0x001D"+",arc_0x001D_#fr"+",arc_0x001E"+",arc_0x001E_#fr"+",arc_0x0018"+",arc_0x0018_#fr"+",arc_0x000A"+",arc_0x000A_#fr"+",arc_0x000B"+",arc_0x000B_#fr"+",arc_0x000C"+",arc_0x000C_#fr"+",arc_0x0008"+",arc_0x0008_#fr"+",arc_0x0007"+",arc_0x0007_#fr"+",arc_0x0006"+",arc_0x0006_#fr"+",arc_0x0005"+",arc_0x0005_#fr"+",arc_0x0004"+",arc_0x0004_#fr"+",arc_0x0003"+",arc_0x0003_#fr"+",arc_0x0002"+",arc_0x0002_#fr"+",arc_0x0001"+",arc_0x0001_#fr"+",arc_0x0000"+",arc_0x0000_#fr"+",arc_other"+",num grid warnings"+",grid_0x000A"+",grid_0x000A_#fr"+",grid_0x0009"+",grid_0x0009_#fr"+",grid_0x0008"+",grid_0x0008_#fr"+",grid_0x0007"+",grid_0x0007_#fr"+",grid_0x0006"+",grid_0x0006_#fr"+",grid_0x0005"+",grid_0x0005_#fr"+",grid_0x0004"+",grid_0x0004_#fr"+",grid_0x0003"+",grid_0x0003_#fr"+",grid_0x0002"+",grid_0x0002_#fr"+",grid_0x0001"+",grid_0x0001_#fr"+",grid_0x0000"+",grid_0x0000_#fr"+",grid_other"+",10R/min"+",ScanSec/[s]"+",Volt_Prev/[kV]"+",Curr_Prev/[mA]"+",Time_Prev/[ms]"+",WW_Prev/[ms]"+",CRAN_Prev/[grad]"+",RAO_Prev/[grad]"+",maxPower_Prev/[kW]"+",maxPower_Rev/[kW]"+",maxCurrent_Prev/[mA]"+",maxCurrent_Rev/[mA]"+",MaxPowerPrev-PowerPrev/[kW]"+",MaxPowerRev-PowerRev/[kW]"+",MaxCurrPrev-CurrPrev/[mA]"+",MaxCurrRev-CurrRev/[mA]"+",HU_prev/[proz]"+",rel.maxPower (rev/max from prev)"+",uAs"+",emitter_current/[mA]"+",emitter_temp/[C]"+",tungsten_evap_rate/[um/h]"+",tungsten_thickness/[um]")if self.plane=='B':headline.replace('Gantry_Rot/[grad]','Gantry_long/[mm]')if EA_IC!='':headline=headline+",maxPower_dyn/[kW]"headline=headline+'\n'if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktheadline=headline.replace(',',';')if IcConsMode:headline=headline.replace('#','No') fw.write(headline)for i in range(len(preview_SID)):try:if self.myXEvent.mode[i]==ord('A'):if self.myXEvent.OGP[i] in self.ACQ_set:kvms=self.ACQ_set[self.myXEvent.OGP[i]]['kV ms']kvdose=self.ACQ_set[self.myXEvent.OGP[i]]['kV-Dose']ogp_ms=self.ACQ_set[self.myXEvent.OGP[i]]['Pulsewidth']if self.ACQ_set[self.myXEvent.OGP[i]]['E X P O S U R E'] in ['3D-DR','3D-DSA','3D-CARD','3D-DRLV','3D-DRLF','DYNA','DRDYNA','3D-CORO']:self.myXEvent._3Dmode[i]=self.ACQ_set[self.myXEvent.OGP[i]]['E X P O S U R E']else:self.myXEvent._3Dmode[i]='no3d'elif self.myXEvent.OGP[i] in self.ALT_set:kvms=self.ALT_set[self.myXEvent.OGP[i]]['kV ms']kvdose=self.ALT_set[self.myXEvent.OGP[i]]['kV-Dose']ogp_ms=self.ALT_set[self.myXEvent.OGP[i]]['Pulsewidth']else:kvms=-1kvdose=-1ogp_ms=-1else: #FL or RDMPif self.myXEvent.OGP[i] in self.FL_set:kvms=self.FL_set[self.myXEvent.OGP[i]]['kV ms']kvdose=self.FL_set[self.myXEvent.OGP[i]]['kV Dose']ogp_ms=self.FL_set[self.myXEvent.OGP[i]]['Pulse Width']elif self.myXEvent.OGP[i] in self.RM_set:kvms=self.RM_set[self.myXEvent.OGP[i]]['kV ms']kvdose=self.RM_set[self.myXEvent.OGP[i]]['kV Dose']ogp_ms=self.RM_set[self.myXEvent.OGP[i]]['Pulse Width']else:kvms=-1kvdose=-1ogp_ms=-1except:kvms=-1kvdose=-1ogp_ms=-1datastr= ( str(time.strftime("%d.%m.%Y %H:%M:%S", time.localtime(self.myXEvent.date[i])))+','+"%xi" % int(self.myXEvent.index[i])+','+chr(int(self.myXEvent.focus[i]))+','+str(int(self.myXEvent.frames[i]))+','+str(self.myXEvent.frequency[i])+','+str(self.myXEvent.voltage[i])+', %4.2f' % self.myXEvent.current[i]+','+str(self.myXEvent.time[i])+','+str(self.myXEvent.voltage[i]*self.myXEvent.current[i]/1000.)+','+str(self.myXEvent.voltage[i]*self.myXEvent.current[i]/1000.*self.myXEvent.dutycycle[i])+','+chr(int(self.myXEvent.mode[i]))+','+str(self.myXEvent.biplane[i])+','+str(self.myXEvent.alt_acq[i])+','+self.myXEvent.axis_mode[i]+','+self.myXEvent.resolution[i]+','+str(self.myXEvent.SID[i])+','+str(self.myXEvent.was[i])+','+str(self.myXEvent.filt[i])+','+str(int(self.myXEvent.zoom[i]))+','+str(int(self.myXEvent.system_dose[i]))+','+str(int(self.myXEvent.SysDose_with_ZDF[i]))+','+str(self.myXEvent.Bsig[i])+',_'+self.myXEvent.FDmode[i]+','+str(self.myXEvent.Mfield[i])+','+str(self.myXEvent.cran[i])+','+str(self.myXEvent.rao[i])+', %4.2f' % (self.myXEvent.table_height[i])+', %4.2f' % (self.myXEvent.SOD[i])+', %4.2f' % (self.myXEvent.gamma[i])+', %4.2f' % (self.myXEvent.scu_base_rot[i])+','+str(self.myXEvent.skindoserate[i])+','+str(int(self.myXEvent.pat_number[i]))+', %4.2f' % self.myXEvent.area[i]+', %4.2f' % self.myXEvent.maxarea[i]+', %4.2f' % self.myXEvent.skindose[i]+','+str(self.myXEvent.DAP[i])+', %4.2f' % self.myXEvent.dose_per_mAs[i]+', %4.2f' % (self.myXEvent.scenelength[i]/1000.)+','+str(self.myXEvent.dutycycle[i])+','+self.myXEvent._3Dmode[i]+','+str(self.myXEvent.HU[i])+', %4.2f' % self.myXEvent.offset[i]+','+str(self.myXEvent.wPawMode[i])+', %4.2f' % self.myXEvent.BE_total[i]+','+str(self.myXEvent.p1[i])+','+str(self.myXEvent.p2[i])+','+self.myXEvent.OGP[i]+','+str(preview_review[i])+','+str(num_arcing[i]) +', %4.2f' %time_between_xray[i] +','+str(self.myXEvent.soll_Szenenlaenge[i]) +','+str(self.myXEvent.soll_fd_dosis[i])+','+str(ogp_ms) +','+str(kvms) +','+str(kvdose)+', %4.2f' % self.myXEvent.scu_carm_rot[i]+', %4.2f' % self.myXEvent.scu_carm_orb[i] +','+str(self.myXEvent.scu_T1[i])+','+str(self.myXEvent.scu_T2[i])+','+str(self.myXEvent.scu_T3[i])+','+str(self.myXEvent.scu_table_rot[i])+','+str(self.myXEvent.scu_table_tilt[i])+','+str(self.myXEvent.scu_table_cradle[i])+', %4.2f' % self.myXEvent.alpha_orb[i]+','+str(datetime.datetime.weekday(datetime.datetime.fromtimestamp(self.myXEvent.date[i])))+','+str(self.myXEvent.act_tube_freq[i])+','+str(self.myXEvent.driv_tube_freq[i])+','+str(self.myXEvent.driv_current[i])+','+str(self.myXEvent.oil_temp[i])+','+str(self.myXEvent.gridpulse[i])+','+str(self.myXEvent.arc_0x001A[i])+','+str(self.myXEvent.arc_0x001A_frame[i])+','+str(self.myXEvent.arc_0x001B[i])+','+str(self.myXEvent.arc_0x001B_frame[i])+','+str(self.myXEvent.arc_0x001C[i])+','+str(self.myXEvent.arc_0x001C_frame[i])+','+str(self.myXEvent.arc_0x001D[i])+','+str(self.myXEvent.arc_0x001D_frame[i])+','+str(self.myXEvent.arc_0x001E[i])+','+str(self.myXEvent.arc_0x001E_frame[i])+','+str(self.myXEvent.arc_0x0018[i])+','+str(self.myXEvent.arc_0x0018_frame[i])+','+str(self.myXEvent.arc_0x000A[i])+','+str(self.myXEvent.arc_0x000A_frame[i])+','+str(self.myXEvent.arc_0x000B[i])+','+str(self.myXEvent.arc_0x000B_frame[i])+','+str(self.myXEvent.arc_0x000C[i])+','+str(self.myXEvent.arc_0x000C_frame[i])+','+str(self.myXEvent.arc_0x0008[i])+','+str(self.myXEvent.arc_0x0008_frame[i])+','+str(self.myXEvent.arc_0x0007[i])+','+str(self.myXEvent.arc_0x0007_frame[i])+','+str(self.myXEvent.arc_0x0006[i])+','+str(self.myXEvent.arc_0x0006_frame[i])+','+str(self.myXEvent.arc_0x0005[i])+','+str(self.myXEvent.arc_0x0005_frame[i])+','+str(self.myXEvent.arc_0x0004[i])+','+str(self.myXEvent.arc_0x0004_frame[i])+','+str(self.myXEvent.arc_0x0003[i])+','+str(self.myXEvent.arc_0x0003_frame[i])+','+str(self.myXEvent.arc_0x0002[i])+','+str(self.myXEvent.arc_0x0002_frame[i])+','+str(self.myXEvent.arc_0x0001[i])+','+str(self.myXEvent.arc_0x0001_frame[i])+','+str(self.myXEvent.arc_0x0000[i])+','+str(self.myXEvent.arc_0x0000_frame[i])+','+str(self.myXEvent.arc_other[i])+','+str(num_grid[i]) +','+str(self.myXEvent.grid_0x000A[i])+','+str(self.myXEvent.grid_0x000A_frame[i])+','+str(self.myXEvent.grid_0x0009[i])+','+str(self.myXEvent.grid_0x0009_frame[i])+','+str(self.myXEvent.grid_0x0008[i])+','+str(self.myXEvent.grid_0x0008_frame[i])+','+str(self.myXEvent.grid_0x0007[i])+','+str(self.myXEvent.grid_0x0007_frame[i])+','+str(self.myXEvent.grid_0x0006[i])+','+str(self.myXEvent.grid_0x0006_frame[i])+','+str(self.myXEvent.grid_0x0005[i])+','+str(self.myXEvent.grid_0x0005_frame[i])+','+str(self.myXEvent.grid_0x0004[i])+','+str(self.myXEvent.grid_0x0004_frame[i])+','+str(self.myXEvent.grid_0x0003[i])+','+str(self.myXEvent.grid_0x0003_frame[i])+','+str(self.myXEvent.grid_0x0002[i])+','+str(self.myXEvent.grid_0x0002_frame[i])+','+str(self.myXEvent.grid_0x0001[i])+','+str(self.myXEvent.grid_0x0001_frame[i])+','+str(self.myXEvent.grid_0x0000[i])+','+str(self.myXEvent.grid_0x0000_frame[i])+','+str(self.myXEvent.grid_other[i])+', %4.2f' % self.myXEvent._10Rlimit[i]+', %4.2f' % (self.myXEvent.frames[i]*self.myXEvent.time[i]/1000.)+','+str(self.myXEvent.soll_kV[i])+','+str(self.myXEvent.soll_mA[i])+','+str(self.myXEvent.soll_ms[i])+','+str(self.myXEvent.soll_WW[i])+','+str(preview_cran[i])+','+str(preview_rao[i])+', %4.2f' % self.myXEvent.maxPower_Sollzeit[i]+', %4.2f' % self.myXEvent.maxPower_Istzeit[i]+', %4.2f' % self.myXEvent.maxCurrentPrev[i]+', %4.2f' % self.myXEvent.maxCurrentRev[i]+', %4.2f' % (self.myXEvent.maxPower_Sollzeit[i]-self.myXEvent.soll_kV[i]*self.myXEvent.soll_mA[i]/1000.)+', %4.2f' % (self.myXEvent.maxPower_Istzeit[i]-self.myXEvent.voltage[i]*self.myXEvent.current[i]/1000.)+', %4.2f' % (self.myXEvent.maxCurrentPrev[i]-self.myXEvent.soll_mA[i])+', %4.2f' % (self.myXEvent.maxCurrentRev[i]-self.myXEvent.current[i])+','+str(self.myXEvent.prevHU[i])+', %4.2f' % ((self.myXEvent.voltage[i]*self.myXEvent.current[i]/1000.)/self.myXEvent.maxPower_Sollzeit[i])+','+str(self.myXEvent.mAs[i])+', %4.2f' % (self.myXEvent.heating_current[i])+', %4.2f' % (self.myXEvent.emitter_temp[i])+', %4.2e' % (self.myXEvent.tungst_evaporation_rate[i])+', %4.2e' % (self.myXEvent.tungst_thickness[i]))if EA_IC!='':datastr=datastr +', %4.2f' % self.myXEvent.maxPowerdyn[i]if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktdatastr=datastr[0:10]+datastr[10:].replace(',',';').replace('.',',')fw.write("%s\n"%datastr)fw.close() #PUN Errors and warningsracstr=''outputfile=os.path.join(self.resultsDirSN,'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate +'_plane_' + str(self.plane) + '_PUN_ERRORS.csv')racop_fp = open(outputfile, "w")for pun_err_type in sort(PUN_ERR.keys()):if len(PUN_ERR[pun_err_type])>0 and pun_err_type!='Warn_5016_SCAN_WARNING':racstr+=pun_err_type+'\n'for ttt in PUN_ERR[pun_err_type]:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='MMT_warning\n' for ttt in MMT_warning:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='FPGA_Error\n' for ttt in FPGA_Error:racstr+=str(ttt)+'\n' racstr+='\n'racstr+='Warn_5016_SCAN_WARNING\n'racstr+='time; type; focus; kV; mA; ms; HU; kW; frame; OGP; index\n'for i in range(len(arcing_time_global)):racstr+=str(arcing_time_global[i])+';'racstr+=arcing_type_global[i]+';'racstr+=arcing_foc_global[i]+';'racstr+=str(arcing_kV_global[i]).replace('.',',')+';'racstr+=str(arcing_mA_global[i]).replace('.',',')+';'racstr+=str(arcing_ms_global[i]).replace('.',',')+';'racstr+=str(arcing_HU_global[i])+';'racstr+=str(round(arcing_mA_global[i]*arcing_kV_global[i]/1000.,1)).replace('.',',')+';'racstr+=arcing_frame_global[i]+';'racstr+=arcing_ogp_global[i]+';'racstr+=str(arcing_idx_global[i])+'i\n'racstr+='\n' racstr+='TUBE_ADJUST\n' for ttt in TUBE_ADJUST:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='TUBE_CONDITIONING\n' for ttt in TUBE_CONDITIONING:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='ANG_ERR\n' for ang_err_type in sort(ANG_ERR.keys()):if len(ANG_ERR[ang_err_type])>0:racstr+=ang_err_type.replace('\t',' ')+'\n'for ttt in ANG_ERR[ang_err_type]:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='\n' racstr+='ANG_CURR_DEVIATION >15%: '+str(len(ANG_CUR_DEV))+'\n'racstr+='\n'racstr+='NO_XRAY\n' for ttt in NO_XRAY:racstr+=str(ttt)+'\n' racstr+='\n' racstr+='Bypass_Fluoro\n' for ttt in bypass_fl:racstr+=str(ttt)+'\n' racstr+='\n'racstr+='3D_abort\n' for ttt in LESS_FRAMES:racstr+=str(ttt)+'\n' racstr+='\n'racstr+='Cooling on/off\n' for ctime,cstate in zip(cooling_time,cooling_state):racstr+=str(ctime)+';'+str(cstate)+'\n' racstr+='\n'racstr+='System on\n' for ctime in power_on:racstr+=str(ctime)+'\n' racstr+='\n'racstr+='System off\n' for ctime in power_off:racstr+=str(ctime)+'\n' racstr+='\n'racstr+='Image transfers to Syngo Dynamics\n'if len(transfer_dynamics)>0: racstr+='Date; #images\n' for ctime,num_ima in transfer_dynamics:racstr+=str(ctime)+';'+str(num_ima)+'\n' racstr+='\n'if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktracstr.replace(',',';')racop_fp.write(racstr) racop_fp.close#save scu dataif len(scu_time)>0:outputfile = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate +'_plane_' + str(self.plane) + '_scu_data.csv')fw = open(outputfile, "w")if self.plane=='A':txtstr='Date,SID,cran,rao,scu_carm_rot,scu_carm_orb,scu_camera_rot,scu_collim_rot,base rot,gantry rot,gantry_long,alpha_orb,T1,T2,T3,scu_table_rot,scu_table_tilt,scu_table_cradle'else:txtstr='Date,SID,cran,rao,scu_carm_rot,scu_carm_orb,scu_camera_rot,scu_collim_rot,base rot,gantry rot,gantry_long,alpha_orb'if len(scu_224_time)>0:txtstr+=',scu_A1,scu_A2,scu_A3,scu_A4,scu_A5,scu_A6,alpha_orb_robot,alpha_xray_robot,224_time'txtstr+='\n' for i in range(len(scu_time)):if self.plane=='A':line=scu_time[i]+','+str(scu_sid[i])+','+str(scu_cran[i])+','+str(scu_rao[i])+','+str(scu_carm_rot[i])+','+str(scu_carm_orb[i])+','+str(scu_camera_rot[i])+','+str(scu_collim_rot[i])+','+str(scu_base_rot[i])+','+str(scu_gantry_rot[i])+','+str(scu_gantry_long[i])+','+'%4.2f'%alpha_orb[i]+','+str(scu_T1[i])+','+str(scu_T2[i])+','+str(scu_T3[i])+','+str(scu_table_rot[i])+','+str(scu_table_tilt[i])+','+str(scu_table_cradle[i])else:line=scu_time[i]+','+str(scu_sid[i])+','+str(scu_cran[i])+','+str(scu_rao[i])+','+str(scu_carm_rot[i])+','+str(scu_carm_orb[i])+','+str(scu_camera_rot[i])+','+str(scu_collim_rot[i])+','+'na' +',na,' +str(scu_gantry_long[i])+','+'%4.2f'%alpha_orb[i]try:idx=bisect_left(scu_224_time,scu_time[i])if idx==len(scu_224_time):idx=len(scu_224_time)-1line+=','+scu_224_robot_angles[idx][0]+','+scu_224_robot_angles[idx][1]+','+scu_224_robot_angles[idx][2]+','+scu_224_robot_angles[idx][3]+','+scu_224_robot_angles[idx][4]+','+scu_224_robot_angles[idx][5]line+=','+'%4.2f'%alpha_orb_rob[idx]+','+'%4.2f'%alpha_xray_robot[idx]line+=','+scu_224_time[idx]except:Truetxtstr+=line+'\n' if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktfw.write(txtstr.replace(',',';').replace('.',',')) else:fw.write(txtstr) fw.close()if len(fingerfilter_in)>0:outputfile=os.path.join(self.resultsDirSN,'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate +'_plane_' + str(self.plane) + '_finger_filter.csv')fp = open(outputfile, "w")for ttt in fingerfilter_in:fp.write(ttt+'\n') fp.close ###save SN specific resultsif tab==3 or tab==1:exp_type={}exp_type['CARD']=0exp_type['DR']=0exp_type['DSA']=0exp_type['RDMP']=0exp_type['FLUORO']=0exp_type['3D-DR']=0exp_type['3D-DSA']=0exp_type['3D-CARD']=0exp_type['3D-DRLV']=0exp_type['3D-DRLF']=0exp_type['3D-CORO']=0exp_type['DYNA']=0exp_type['DRDYNA']=0exp_type['PERI']=0exp_type['DRSTEP']=0exp_type['unknown']=0for i in range(self.events):try:if self.myXEvent.OGP[i] in self.ACQ_set.keys(): exp_type[self.ACQ_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1elif self.myXEvent.OGP[i] in self.FL_set.keys(): exp_type[self.FL_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1 elif self.myXEvent.OGP[i] in self.RM_set.keys(): exp_type[self.RM_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1elif self.myXEvent.OGP[i] in self.ALT_set.keys(): exp_type[self.ALT_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1else: #could happen if OGP is deleted, micro symbol is used,...best_matches_acq=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.ACQ_ogps))best_matches_fl=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.FL_ogps))best_matches_rm=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.RM_ogps))best_matches_alt=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.ALT_ogps))found=Falseif len(best_matches_acq)>0 and not found:for ogp in best_matches_acq:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.ACQ_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_fl)>0 and not found:for ogp in best_matches_fl:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.FL_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_rm)>0 and not found:for ogp in best_matches_rm:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.RM_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_alt)>0 and not found:for ogp in best_matches_rm:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.ALT_set[ogp]['E X P O S U R E']]+=1found=Trueif not found: exp_type['unknown']+=1except:exp_type['unknown']+=1 #might happen if the Examset file in Ziplog is missing or corruptif self.init_analysis==True: #write header only at first systemself.init_analysis=Falseself.today=str(datetime.datetime.now()).replace(' ','_').replace(':','-')txtstr=u'SN'txtstr+=',Start'txtstr+=',End'txtstr+=',Plane'txtstr+=',SystemType'txtstr+=',SyngoSystemType'txtstr+=',SystemShape'txtstr+=',City'txtstr+=',Country'txtstr+=',SW Version'txtstr+=',IVS System Model'txtstr+=',GPU Type'txtstr+=',Tube Type'txtstr+=',Tube SNs'txtstr+=',Generator Type'txtstr+=',Generator SW/HW'txtstr+=',FD Type'txtstr+=',XWP SN'txtstr+=',XWP SW'txtstr+=',Line Resistance'txtstr+=',Line Voltage'txtstr+=',X-rays'txtstr+=',X-rays F1 [%]'txtstr+=',X-rays F2 [%]'txtstr+=',X-rays FG [%]'txtstr+=',# FL'txtstr+=',# ACQ'txtstr+=',mean FL time/d [s]'txtstr+=',std FL time/d [s]'txtstr+=',mean ACQ time/d [s]'txtstr+=',std ACQ time/d [s]'txtstr+=',days with x-rays'txtstr+=',days with logs'txtstr+=',BE'txtstr+=',BE/d'txtstr+=',BE >50%'txtstr+=',BE >75%'txtstr+=',ScanSec'txtstr+=',Arcs'txtstr+=',Arctrains'txtstr+=',Arctrains/10k ScanSec'txtstr+=',GridWarnings'txtstr+=',mean_Slip'txtstr+=',std_Slip'txtstr+=',max_Slip'txtstr+=',mean_act_anode_frq'txtstr+=',vertTubeTime/[min]'txtstr+=',meanDrivCurr'txtstr+=',minDrivCurr'txtstr+=',maxDrivCurr'txtstr+=',stdDrivCurr'txtstr+=',max_HU'txtstr+=',mean_Oiltemp'txtstr+=',max_Oiltemp'txtstr+=',Run time /[h]'txtstr+=',System starts'txtstr+=',Cooling state changes'txtstr+=',Cooling Dutycycle'for pun_err_type in sort(PUN_ERR.keys()):txtstr+=','+pun_err_typefor ang_err_type in sort(ANG_ERR.keys()):txtstr+=','+ang_err_type.replace('\t',' ')txtstr+=',MMT_warning'txtstr+=',FPGA_Error'txtstr+=',3D_ABORT (less frames)'txtstr+=',Curr_Dev_15perc'txtstr+=',#Bypass Fluoro'txtstr+=',mean TubeEff@125kV_F1'txtstr+=',std TubeEff@125kV_F1'txtstr+=',mean dyn. Offset F1'txtstr+=',std dyn. Offset F1'txtstr+=',min dyn. Offset F1'txtstr+=',max dyn. Offset F1'txtstr+=',mean dyn. Offset FG'txtstr+=',std dyn. Offset FG'txtstr+=',min dyn. Offset FG'txtstr+=',max dyn. Offset FG'txtstr+=',mean dyn. Offset F2'txtstr+=',std dyn. Offset F2'txtstr+=',min dyn. Offset F2'txtstr+=',max dyn. Offset F2'txtstr+=',Num Patients'txtstr+=',mean Skindose/patient'txtstr+=',std Skindose/patient'txtstr+=',mean DAP/patient'txtstr+=',std DAP/patient'txtstr+=',mean Gamma'txtstr+=',std Gamma'txtstr+=',mean WV [mm]'txtstr+=',std WV [mm]'txtstr+=',num maxed Outs FL'txtstr+=',num maxed Outs ACQ'txtstr+=',num 3D'txtstr+=',mean SID [cm]'txtstr+=',min SID [cm]'txtstr+=',max SID [cm]'txtstr+=',std SID [cm]'txtstr+=',#Xrays@SID>120'txtstr+=',preview_review'txtstr+=',mean pulsetime [ms]' txtstr+=',std pulsetime [ms]' txtstr+=',mean fl system dose [nGy]'txtstr+=',std fl system dose [nGy]'txtstr+=',mean acq system dose [nGy]'txtstr+=',std acq system dose [nGy]'txtstr+=',mean freq /Fl'txtstr+=',mean freq /Acq'txtstr+=',mean Zoom'txtstr+=',std Zoom'txtstr+=',mean patient time [min]'txtstr+=',std patient time [min]'txtstr+=', # Lat<-10 Cran>10'txtstr+=', # Lat<-10 Cran<10>-10'txtstr+=', # Lat<-10 Cran<-10'txtstr+=', # Lat>-10<10 Cran>10'txtstr+=', # Lat>-10<10 Cran<10>-10'txtstr+=', # Lat>-10<10 Cran<-10'txtstr+=', # Lat>10 Cran>10'txtstr+=', # Lat>10 Cran<10>-10'txtstr+=', # Lat>10 Cran<-10'txtstr+=', # CARD'txtstr+=', # DR'txtstr+=', # DSA'txtstr+=', # FLUORO'txtstr+=', # RDMP'txtstr+=', # 3D_DR'txtstr+=', # 3D_DSA'txtstr+=', # 3D_CARD'txtstr+=', # 3D_DRLV'txtstr+=', # 3D_DRLF'txtstr+=', # 3D_CORO'txtstr+=', # DYNA'txtstr+=', # DRDYNA'txtstr+=', # PERI'txtstr+=', # DRSTEP'txtstr+=', # unknown'txtstr+=', Manual table panning w/o TCM'txtstr+=', PatPosition 1'txtstr+=', PatPosition 2'txtstr+=', PatPosition 3'txtstr+=', PatPosition 4'txtstr+=', PatPosition 5'txtstr+=', PatPosition 6'txtstr+=', PatPosition 7'txtstr+=', PatPosition 8'txtstr+=', New Examsets'txtstr+=', Del Examsets'txtstr+=', Changed Examsets'txtstr+=', Image Quality Setting'txtstr+='\n'self.datastr_tot=txtstrende=self.events datastr=self.SNdatastr+=','+str(self.startdate)datastr+=','+str(self.enddate)datastr+=','+self.planedatastr+=','+self.myXEvent.SystemTypedatastr+=','+self.myXEvent.syngo_system_typedatastr+=','+self.myXEvent.SystemShapedatastr+=','+self.myXEvent.citydatastr+=','+self.myXEvent.countrydatastr+=','+str(self.usedSWs).replace(',',' ')datastr+=','+self.sys_modeldatastr+=','+str(self.gpu_model).replace(',',' ')datastr+=','+self.myXEvent.tubetype_strtry:old_SN='n.a.'SN_txt=[]old_BE=0old_date=''for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:SN_txt.append((date,SN,BE))old_SN=SNdatastr+=','+str(SN_txt).replace(',',' ')except:datastr+=',na'try:datastr+=','+generator_typedatastr+=','+str(generator).replace(',','')except:datastr+=',n a'datastr+=',n a'datastr+=','+self.myXEvent.FDtype datastr+=','+str(list(self.Leo)).replace(',',' ')datastr+=','+str(list(self.Leo_SW)).replace(',',' ')datastr+=','+str(self.line_resistance)datastr+=','+str(self.line_voltage)datastr+=','+str(self.events) try:datastr+=',%4.2f' %((self.myXEvent.focus==ord('S')).sum()/float(self.events))except:datastr+=',na'try:datastr+=',%4.2f' %((self.myXEvent.focus==ord('L')).sum()/float(self.events))except:datastr+=',na'try:datastr+=',%4.2f' %((self.myXEvent.focus==ord('M')).sum()/float(self.events))except:datastr+=',na'datastr+=','+str((self.myXEvent.mode==ord('F')).sum())datastr+=','+str((self.myXEvent.mode==ord('A')).sum())try:date_tmp=self.myXEvent.date[:self.events].copy()day_count=0for i in range(self.events):date_tmp[i]=pylab.date2num(datetime.datetime.fromtimestamp(date_tmp[i]).date())try:if date_tmp[i]!=date_tmp[i-1] and i>0: day_count+=1except:Trueinitday=date_tmp[0]sl_fl=[]sl_acq=[]date_list = np.arange(initday,initday+Anzahltage)for current_date in date_list:sl_fl.append(((current_date==date_tmp)*(self.myXEvent.mode[:self.events]==ord('F'))*self.myXEvent.scenelength[:self.events]).sum()/1000.)sl_acq.append(((current_date==date_tmp)*(self.myXEvent.mode[:self.events]==ord('A'))*self.myXEvent.scenelength[:self.events]).sum()/1000.)sl_fl=np.array(sl_fl)sl_acq=np.array(sl_acq)datastr+=',%4.2f'%(sl_fl.mean())datastr+=',%4.2f'%(sl_fl.std())datastr+=',%4.2f'%(sl_acq.mean())datastr+=',%4.2f'%(sl_acq.std())datastr+=',%d'%(day_count)except:datastr+=',n a'datastr+=',n a'datastr+=',n a'datastr+=',n a'datastr+=',n a'datastr+=',%d'%(len(self.Auswahl))datastr+=',%4.2f' %(self.myXEvent.BE_total.sum())try:datastr+=',%4.2f' %(self.myXEvent.BE_total.sum()/float(Anzahltage))except:datastr+=',na'try: datastr+=',%4.2f' %(((self.myXEvent.prevHU>50)*self.myXEvent.BE_total).sum())except:datastr+=',na'try: datastr+=',%4.2f' %(((self.myXEvent.prevHU>75)*self.myXEvent.BE_total).sum())except:datastr+=',na'scan_sec=(self.myXEvent.time*self.myXEvent.frames).sum()/1000.datastr+=','+str(scan_sec)datastr+=','+str(num_arcing_tot)arc_trains=(np.array(num_arcing)>0).sum()datastr+=','+str(arc_trains)try:datastr+=',%4.2f' %(arc_trains/scan_sec*10000.)except:datastr+=',na'datastr+=','+str(num_grid_tot)try:temp_driv_frq=numpy.array(self.driv_tube_freq)temp_act_frq=numpy.array(self.act_tube_freq)del_elem=numpy.nonzero(temp_act_frq==65535)temp_driv_frq=numpy.delete(temp_driv_frq,del_elem)temp_act_frq=numpy.delete(temp_act_frq,del_elem)min_l=min(len(temp_driv_frq),len(temp_act_frq))slip=temp_driv_frq[:min_l]-temp_act_frq[:min_l]slip[0]slip_mean=',%4.2f' %(slip.mean())slip_std =',%4.2f' %(slip.std())slip_max =',%4.2f' %(slip.max())act_drv_frq_mean=',%4.2f' %(temp_act_frq.max())except:slip_mean=',na'slip_std= ',na'slip_max= ',na'act_drv_frq_mean= ',na'datastr+=slip_meandatastr+=slip_stddatastr+=slip_maxdatastr+=act_drv_frq_meandatastr+=',%4.2f' %(vertical_tube_time)try: temp_curr_mean=numpy.array(self.driv_current) driv_curr_mean=temp_curr_mean.mean()driv_curr_min=temp_curr_mean.min()driv_curr_max=temp_curr_mean.max()datastr+=',%4.2f' %(driv_curr_mean)datastr+=',%4.2f' %(driv_curr_min)datastr+=',%4.2f' %(driv_curr_max)except:datastr+= ',na'datastr+= ',na'datastr+= ',na' try: driv_curr_std=temp_curr_mean.std()datastr+=',%4.2f' %(driv_curr_std)except:datastr+= ',na' datastr+=','+str(self.myXEvent.HU.max())try:max(self.t0_temp) #will throw exception if emptydatastr+=',%4.2f' %(mean(self.t0_temp))datastr+=',%4.2f' %(max(self.t0_temp))except:datastr+=',na'datastr+=',na'#running_timetry:hour_sum=len(self.envtime2)/60. #every event equals 1 minute datastr+=',%4.2f'%(hour_sum) except:datastr+=',na' try:datastr+=',%d'%(len(power_on))except:datastr+=',na' try:datastr+=',%d'%(len(cooling_state))except:datastr+=',na' try:cooling_ontime[1] #to run into exception if there is not entrysummed_ontime=sum(cooling_ontime) total_time=hour_sum*3600. #from Environmental Log (anode freq)duty_cycle=summed_ontime/total_timedatastr+=',%2.2f'%(duty_cycle)except:datastr+=',na' for pun_err_type in sort(PUN_ERR.keys()):datastr+=','+str(len(PUN_ERR[pun_err_type]))for ang_err_type in sort(ANG_ERR.keys()):datastr+=','+str(len(ANG_ERR[ang_err_type]))datastr+=','+str(len(MMT_warning))datastr+=','+str(len(FPGA_Error))datastr+=','+str(len(LESS_FRAMES)) #3D abortdatastr+=','+str(len(ANG_CUR_DEV)) datastr+=','+str(len(bypass_fl)) try:del_elem=numpy.nonzero(self.myXEvent.dose_per_mAs[:ende]*(self.myXEvent.focus[:ende]!=ord('S')))tube_eff_F1=numpy.delete(self.myXEvent.dose_per_mAs[:ende],del_elem)tube_eff_F1[0]datastr+=',%4.2f' % np.median(tube_eff_F1)datastr+=',%4.2f' % tube_eff_F1.std()except:datastr+=',na'datastr+=',na' try: del_elem=numpy.nonzero(self.myXEvent.offset[:ende]*(self.myXEvent.focus[:ende]!=ord('S')))dyn_offset_F1=numpy.delete(self.myXEvent.offset[:ende],del_elem)dyn_offset_F1[0]datastr+=',%4.2f' % dyn_offset_F1.mean()datastr+=',%4.2f' % dyn_offset_F1.std()datastr+=',%4.2f' % dyn_offset_F1.min()datastr+=',%4.2f' % dyn_offset_F1.max()except:datastr+=',na'datastr+=',na'datastr+=',na'datastr+=',na'try: del_elem=numpy.nonzero(self.myXEvent.offset[:ende]*(self.myXEvent.focus[:ende]!=ord('M')))dyn_offset_FG=numpy.delete(self.myXEvent.offset[:ende],del_elem)dyn_offset_FG[0]datastr+=',%4.2f' % dyn_offset_FG.mean()datastr+=',%4.2f' % dyn_offset_FG.std()datastr+=',%4.2f' % dyn_offset_FG.min()datastr+=',%4.2f' % dyn_offset_FG.max()except:datastr+=',na'datastr+=',na'datastr+=',na'datastr+=',na'try: del_elem=numpy.nonzero(self.myXEvent.offset[:ende]*(self.myXEvent.focus[:ende]!=ord('L')))dyn_offset_F2=numpy.delete(self.myXEvent.offset[:ende],del_elem)dyn_offset_F2[0]datastr+=',%4.2f' % dyn_offset_F2.mean()datastr+=',%4.2f' % dyn_offset_F2.std()datastr+=',%4.2f' % dyn_offset_F2.min()datastr+=',%4.2f' % dyn_offset_F2.max()except:datastr+=',na'datastr+=',na'datastr+=',na'datastr+=',na'try:numPats=self.myXEvent.pat_number[ende-1]+1. #remove those with patime<5min dose<x?datastr+=','+str(numPats)except:datastr+=',na'try:temp_sk=np.array(self.myXEvent.pat_skindose)temp_sk=temp_sk[temp_sk>0.01]/1000. datastr+=',%4.2f' %(temp_sk.mean())datastr+=',%4.2f' %(temp_sk.std())except:datastr+=',na'datastr+=',na'try:temp_dap=np.array(self.myXEvent.pat_dap)temp_dap=temp_dap[temp_dap>0.01]/100. datastr+=',%4.2f' %(temp_dap.mean())datastr+=',%4.2f' %(temp_dap.std())except:datastr+=',na'datastr+=',na'datastr+=',%4.2f' %self.myXEvent.gamma[:ende].mean()datastr+=',%4.2f' %self.myXEvent.gamma[:ende].std()datastr+=',%4.2f' %self.myXEvent.was[:ende].mean()datastr+=',%4.2f' %self.myXEvent.was[:ende].std()try:datastr+=',%4.2f' %((self.myXEvent.mode[:ende]==ord('F')*(self.myXEvent.system_dose[:ende]<=20)).sum())except:datastr+=',na'try:datastr+=',%4.2f' %((self.myXEvent.mode[:ende]==ord('A')*(self.myXEvent.system_dose[:ende]<=70)).sum())except:datastr+=',na'num3D=0for kk in range(self.events):if self.myXEvent._3Dmode[kk]!='no3d':num3D+=1datastr+=',%d' %num3Ddatastr+=',%4.2f' %self.myXEvent.SID[:ende].mean()try:datastr+=',%4.2f' %self.myXEvent.SID[:ende].min()datastr+=',%4.2f' %self.myXEvent.SID[:ende].max()except:datastr+=',n a'datastr+=',n a'datastr+=',%4.2f' %self.myXEvent.SID[:ende].std()datastr+=',%d' %((self.myXEvent.SID[:ende]>120).sum())datastr+=',%4.2f' %(np.array(preview_review).mean())datastr+=',%4.2f' %self.myXEvent.time[:ende].mean()datastr+=',%4.2f' %self.myXEvent.time[:ende].std()sysdostmp=self.myXEvent.system_dose[self.myXEvent.mode[:ende]==ord('F')]datastr+=',%4.2f' %(sysdostmp.mean())try:datastr+=',%4.2f' %(sysdostmp.std())except:datastr+=',%4.2f' %(-1.0)sysdostmp=self.myXEvent.system_dose[self.myXEvent.mode[:ende]==ord('A')]datastr+=',%4.2f' %(sysdostmp.mean())try:datastr+=',%4.2f' %(sysdostmp.std())except:datastr+=',%4.2f' %(-1.0)datastr+=',%4.2f' %(((self.myXEvent.mode[:ende]==ord('F'))*(self.myXEvent.frequency[:ende])).sum()/(self.myXEvent.mode[:ende]==ord('F')).sum())datastr+=',%4.2f' %(((self.myXEvent.mode[:ende]==ord('A'))*(self.myXEvent.frequency[:ende])).sum()/(self.myXEvent.mode[:ende]==ord('A')).sum())datastr+=',%4.2f' %self.myXEvent.zoom[:ende].mean()datastr+=',%4.2f' %self.myXEvent.zoom[:ende].std()tmp_arr=np.array(self.myXEvent.pat_time[:ende])tmp_arr=tmp_arr[tmp_arr>3] #only consider patients with time > 3minrdatastr+=',%4.2f' %(tmp_arr.mean()) datastr+=',%4.2f' %(tmp_arr.std())#sum up only pat times >3minfl_evts=float(self.events)if fl_evts==0.:fl_evts=1.datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]<-10.)*(self.myXEvent.cran[0:self.events]>10.)).sum()/fl_evts) # Lat<-10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]<-10.)*(self.myXEvent.cran[0:self.events]>-10.)*(self.myXEvent.cran[0:self.events]<=10.)).sum()/fl_evts) # Lat<-10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]<-10.)*(self.myXEvent.cran[0:self.events]<=-10.)).sum()/fl_evts) # Lat<-10 Cran<-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=-10.)*(self.myXEvent.rao[0:self.events]<10.)*(self.myXEvent.cran[0:self.events]>10.)).sum()/fl_evts) # Lat>-10<10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=-10.)*(self.myXEvent.rao[0:self.events]<10.)*(self.myXEvent.cran[0:self.events]>-10.)*(self.myXEvent.cran[0:self.events]<=10.)).sum()/fl_evts) # Lat>-10<10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=-10.)*(self.myXEvent.rao[0:self.events]<10.)*(self.myXEvent.cran[0:self.events]<=-10.)).sum()/fl_evts) # Lat>-10<10 Cran<-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=10.)*(self.myXEvent.cran[0:self.events]>10.)).sum()/fl_evts) # Lat>10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=10.)*(self.myXEvent.cran[0:self.events]>-10.)*(self.myXEvent.cran[0:self.events]<=10.)).sum()/fl_evts) # Lat>10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[0:self.events]>=10.)*(self.myXEvent.cran[0:self.events]<=-10.)).sum()/fl_evts) # Lat>10 Cran<-10datastr+= ',%5.2f' %(float(exp_type['CARD'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['DR'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['DSA'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['FLUORO'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['RDMP'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-DR'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-DSA'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-CARD'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-DRLV'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-DRLF'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['3D-CORO'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['DYNA'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['DRDYNA'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['PERI'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['DRSTEP'])/fl_evts)datastr+= ',%5.2f' %(float(exp_type['unknown'])/fl_evts)datastr+=','+scu_datdatastr+= ',%d' %((np.array(self.pat_position)==1).sum())datastr+= ',%d' %((np.array(self.pat_position)==2).sum())datastr+= ',%d' %((np.array(self.pat_position)==3).sum())datastr+= ',%d' %((np.array(self.pat_position)==4).sum())datastr+= ',%d' %((np.array(self.pat_position)==5).sum())datastr+= ',%d' %((np.array(self.pat_position)==6).sum())datastr+= ',%d' %((np.array(self.pat_position)==7).sum())datastr+= ',%d' %((np.array(self.pat_position)==8).sum())try:count=0for key in self.ogp_new.keys():count+=len(self.ogp_new[key])datastr+= ',%d' %countexcept:datastr+= ',n a' try:count=0for key in self.ogp_del.keys():count+=len(self.ogp_del[key])datastr+= ',%d' %countexcept:datastr+= ',n a' try:count=0for key in self.ogp_change.keys():count+=len(self.ogp_change[key])datastr+= ',%d' %countexcept:datastr+= ',n a' try:datastr+=','+self.key_status['Image Quality Setting']except:datastr+= ',n a' datastr+='\n' self.datastr_tot+=datastroutputfile = os.path.join(self.resultsDir, 'Artis-results_'+self.today+'.csv')fw = open(outputfile, "w")if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktfw.write(self.datastr_tot.replace(',',';').replace('.',','))else:fw.write(self.datastr_tot)fw.close()#------------------------------------------------------------------ def kV_dose_factor(self,kV_): #ideale Dosisausbeute bei def. kV-Punkt #12grad, 2.5 mmAl, 4.0mm PMMA (fuer Oel), 1000mm Abstand (ungefährer Nachbau der gemessenen Dosisausbeute mit 'Spectrum Processor')#Dose(kV)=0.0038 *kV²+0.9792*kV-28.54 µGy/mAs (Kurvenfit)result=0.0038*kV_*kV_+0.9792*kV_-28.54; # in µGy/mAs return result#-------------------------------------------------------------def kv_interplote(self, cu_atten_val, kvgrid, kv): #1D linear interpolation# interpolation startingvoltalt = 0cuAtt_alt = 0for volt, cuAtt in zip(kvgrid, cu_atten_val):if int(volt) >= int(kv):breakvoltalt = float(volt)cuAtt_alt = float(cuAtt)# just float-castvolt = float(volt)cuAtt = float(cuAtt)value = (cuAtt - cuAtt_alt) / ( volt - voltalt) * (kv - voltalt) + cuAtt_alt return value#------------------------------------------------------------- def kV_Cu_attenuation_factor(self):""" #Filterschwächung bei verschiedenen kV und Cu -Filterdicken (aus Blauem Buch)#Cu 0.0 0.1 0.2 0.3 0.5 0.6 0.7 0.9 #---------------------------------------------------------------------------------------------------------------attenuation_kV_Cu=numpy.array([[1.0, 0.249, 0.0903, 0.0384, 0.00875, 0.00448, 0.00236, 0.000698], #40kV[1.0, 0.335, 0.158, 0.0854, 0.0309, 0.0197, 0.0129, 0.00589], #50kV[1.0, 0.397, 0.215, 0.133, 0.0608, 0.0435, 0.0318, 0.0179], #60kV[1.0, 0.447, 0.265, 0.177, 0.0937, 0.0715, 0.0558, 0.0355], #70kV[1.0, 0.492, 0.314, 0.223, 0.131, 0.105, 0.0855, 0.0591], #80kV[1.0, 0.532, 0.359, 0.266, 0.168, 0.139, 0.117, 0.0851], #90kV[1.0, 0.565, 0.398, 0.305, 0.203, 0.171, 0.147, 0.111], #100kV[1.0, 0.636, 0.482, 0.392, 0.285, 0.25, 0.221, 0.178]]) #125kV""" if self.myXEvent.numFoken==2:#9° 3.0Al,5mmPMMA,@750mm 0.00 0.10 0.20 0.30 0.60 0.90 mmCu#---------------------------------------------------------------------------------------------------------------attenuation_kV_Cu=numpy.array([[ 22.10, 6.15, 2.28, 0.97, 0.110, 0.0166], #40kV[ 41.02, 15.45, 7.52, 4.11, 0.947, 0.2774], #50kV[ 61.70, 27.67, 15.60, 9.77, 3.23, 1.325] , #60kV[ 82.71, 41.84, 25.97, 17.72, 7.32, 3.64 ], #70kV[105.70, 58.95, 39.43, 28.70, 13.90, 7.91 ], #80kV[130.40, 78.50, 55.50, 42.24, 22.77, 14.11 ], #90kV[156.20, 99.83, 73.58, 57.87, 33.60, 22.08 ], #100kV[224.30, 159.2, 125.8, 104.4, 68.40, 49.40 ]]) #125kVelse: #3F#12° 3.0Al,5mmPMMA,@750mm 0.00 0.10 0.20 0.30 0.60 0.90 mmCu#---------------------------------------------------------------------------------------------------------------attenuation_kV_Cu=numpy.array([[ 23.50, 6.38, 2.34, 0.99, 0.112, 0.017], #40kV[ 44.30, 16.20, 7.77, 4.23, 0.96, 0.281], #50kV[ 67.40, 29.24, 16.40, 10.10, 3.30, 1.344], #60kV[ 91.30, 44.60, 27.20, 18.40, 7.50, 3.71 ], #70kV[117.50, 63.20, 41.56, 29.93, 14.30, 8.09 ], #80kV[145.90, 84.70, 58.88, 44.37, 23.60, 14.53 ], #90kV[175.70, 108.50, 78.64, 61.26, 35.10, 22.94 ], #100kV[255.40, 176.00, 137.1, 112.8, 72.90, 52.35 ]]) #125kVgrid_Cu=[0.0,0.1,0.2,0.3,0.6,0.9]grid_kV=[40,50,60,70,80,90,100,125]dim=len(self.myXEvent.filt)result=numpy.zeros(dim)for i in xrange(self.events): cu_id=grid_Cu.index(self.myXEvent.filt[i]/10.)cu_grid_kv=attenuation_kV_Cu[:,cu_id]cu0_grid_kv=attenuation_kV_Cu[:,0]#result[i]=self.kv_interplote(cu0_grid_kv, grid_kV, self.myXEvent.voltage[i])/self.kv_interplote(cu_grid_kv, grid_kV, self.myXEvent.voltage[i]) #Umrechung auf 0.0Cu und 125kVresult[i]=self.kv_interplote(cu0_grid_kv, grid_kV, 125.)/self.kv_interplote(cu_grid_kv, grid_kV, self.myXEvent.voltage[i]) #Umrechung auf 0.0Cu und 125kVresult[np.isnan(result)]=0 #img = numpy.zeros( (200,200) )#for k in xrange(200):## for j in xrange(200):# img[k,j] = tef( k*0.9/199.0, 40.0 + j*(125.0-40.0)/199.0 ) #import matplotlib.pyplot#matplotlib.pyplot.imshow( img ) #matplotlib.pyplot.show() return result#-------------------------------------------------------------def show_data(self):tab=self.notebook.GetSelection()try:plt.close("all")except:Trueif len(TIME) == 0:if tab==0:wx.MessageBox("No corresponding events found!")self.do_part18()else:print "No corresponding events found!"self.do_part18()else:#erzeuge info.txtday_count = [] day_count.append(0) #zaehlt die Tageswechsel; die Anzahl der Tage ist dann eins mehr; nur die Tage, an denen auch events stattfinden, werden betrachtetfor i in range(len(Datum_array)-1):if Datum_array[i]!=Datum_array[i+1]: day_count.append(0)#Gesamtzahl der Tage - Differenz zwischen Enddatum und StartdatumTagesdifferenz = (Time[len(Time)-1]-Time[0])/60/60/24 #Sekunden in Tage umgerechnetday_total = int(math.ceil(Tagesdifferenz))name = 'XA'+str(self.myXEvent.SN)+'_info.txt'outputfile=os.path.join(self.resultsDirSN,name)f = open(outputfile, 'w')f.write('Start: ' + str(Startzeit[0]) + ' ' + 'End: ' + str(Startzeit[len(Startzeit)-1]) + ' ' + 'Days: ' + str(len(day_count))+'\n')f.write('Files: '+ str(self.eventlog_files)+'\n' )f.write('Radiation events on plane ' + str(self.plane)+': '+ str(self.events -1)+'\n' )f.write('Software-version: '+str(self.myXEvent.SW[-1][0])+'\n\n')for filename in self.system_caf:w = open(filename,'r')lines=w.readlines()for line in lines:#logging.info(line)if (line.rfind('VERSION')>-1 ):f.write(line+'\n')if (line.rfind('syngo_system_type ')>-1 ):f.write(line+'\n')if (line.rfind('system ident')>-1 ):f.write(line+'\n')if (line.rfind('System Type')>-1 ):f.write(line+'\n')if (line.rfind('X-Ray Tube')>-1 ):f.write(line+'\n')if (line.rfind('Generator ')>-1 ):f.write(line+'\n')if (line.rfind('Generator Plane B')>-1 ):f.write(line+'\n')if (line.rfind('FD Type ')>-1 ):f.write(line+'\n')if (line.rfind('FD Type Plane B')>-1 ):f.write(line+'\n') f.close()pulsepower = self.myXEvent.voltage*self.myXEvent.current/1000. pulsepower_nullfrei = [] pulsepower_F = []pulsepower_A = []SID_nullfrei = []scenelength = [] scenelength_F = []scenelength_A = [] meanpower = []meanpower_F = []meanpower_A = []skindoserate_nullfrei = []skindoserate_A = []skindoserate_F = []skindose = []skindose_A = []skindose_F =[]dutycycle = []dutycycle_A = []dutycycle_F = []filter = []filter_A = []filter_F = []xtime = []time_A = []time_F = []frequency = []frequency_A = []frequency_F = []watervalue = []watervalue_F = []watervalue_A = []voltage = []voltage_F = []voltage_A = []current = []current_F = []current_A = []zoom = []zoom_F = []zoom_A = []rao = []rao_A = []rao_F = []cran = []cran_A = []cran_F = []SID = []SID_A = []heatunit = []offset = []focus = []patient_number = []patient_number_F = []patient_number_A = []DAP = []DAP_F = []DAP_A = []Dosisausbeute = []offset = []modus = []BE = []systemdose_A = []systemdose = []global cooling_stateglobal cooling_timefor i in range(self.events): SID.append(self.myXEvent.SID[i]) scenelength.append(self.myXEvent.scenelength[i]/1000.)meanpower.append(pulsepower[i]*self.myXEvent.dutycycle[i])SID_nullfrei.append(self.myXEvent.SID[i]) pulsepower_nullfrei.append(pulsepower[i]) skindoserate_nullfrei.append(self.myXEvent.skindoserate[i])dutycycle.append(self.myXEvent.dutycycle[i])filter.append(self.myXEvent.filt[i])xtime.append(self.myXEvent.time[i])frequency.append(self.myXEvent.frequency[i])watervalue.append(self.myXEvent.was[i])voltage.append(self.myXEvent.voltage[i])current.append(self.myXEvent.current[i])zoom.append(self.myXEvent.zoom[i])rao.append(self.myXEvent.rao[i])cran.append(self.myXEvent.cran[i])heatunit.append(self.myXEvent.HU[i])offset.append(self.myXEvent.offset[i])focus.append(self.myXEvent.focus[i])patient_number.append(self.myXEvent.pat_number[i])DAP.append(self.myXEvent.DAP[i])skindose.append(self.myXEvent.skindose[i])Dosisausbeute.append(self.myXEvent.dose_per_mAs[i])modus.append(self.myXEvent.mode[i])BE.append(self.myXEvent.BE_total[0:i+1].sum()) #BE summed upsystemdose.append(self.myXEvent.system_dose[i])if self.myXEvent.mode[i] == ord('F'): scenelength_F.append(self.myXEvent.scenelength[i]/1000.)meanpower_F.append(pulsepower[i]*self.myXEvent.dutycycle[i])pulsepower_F.append(pulsepower[i])skindoserate_F.append(self.myXEvent.skindoserate[i])dutycycle_F.append(self.myXEvent.dutycycle[i])time_F.append(self.myXEvent.time[i])frequency_F.append(self.myXEvent.frequency[i])watervalue_F.append(self.myXEvent.was[i])voltage_F.append(self.myXEvent.voltage[i])current_F.append(self.myXEvent.current[i])zoom_F.append(self.myXEvent.zoom[i])rao_F.append(self.myXEvent.rao[i])cran_F.append(self.myXEvent.cran[i])patient_number_F.append(self.myXEvent.pat_number[i])skindose_F.append(self.myXEvent.skindose[i])DAP_F.append(self.myXEvent.DAP[i])filter_F.append(self.myXEvent.filt[i])elif self.myXEvent.mode[i] == ord('A'):scenelength_A.append(self.myXEvent.scenelength[i]/1000.)meanpower_A.append(pulsepower[i]*self.myXEvent.dutycycle[i])pulsepower_A.append(pulsepower[i])skindoserate_A.append(self.myXEvent.skindoserate[i])dutycycle_A.append(self.myXEvent.dutycycle[i])time_A.append(self.myXEvent.time[i])frequency_A.append(self.myXEvent.frequency[i])watervalue_A.append(self.myXEvent.was[i])voltage_A.append(self.myXEvent.voltage[i])current_A.append(self.myXEvent.current[i]) zoom_A.append(self.myXEvent.zoom[i]) rao_A.append(self.myXEvent.rao[i]) cran_A.append(self.myXEvent.cran[i]) patient_number_A.append(self.myXEvent.pat_number[i])skindose_A.append(self.myXEvent.skindose[i])DAP_A.append(self.myXEvent.DAP[i])systemdose_A.append(self.myXEvent.system_dose[i])SID_A.append(self.myXEvent.SID[i])filter_A.append(self.myXEvent.filt[i])###################################################################################fromDate = str(Startzeit[0]).split(" ")[0]toDate = str(Startzeit[-1]).split(" ")[0]#part1if self.cb1.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19))#Voltage histogramax = fig.add_subplot(4,3,1)ax.hist(voltage_F, 50, range =(40, 130)) ax.set_xlabel('Voltage /[kV]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)plt.title('Voltage (Fluoro)')ax = fig.add_subplot(4,3,2)ax.hist(voltage_A, 50, range =(40, 130)) ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title('Voltage (Acquisition)')ax = fig.add_subplot(4,3,3)ax.hist(voltage, 50, range =(40, 130)) ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title('Voltage')#Current histogramax = fig.add_subplot(4,3,4)ax.hist(current_F, 50, range =(1, 800)) ax.set_xlabel('Current /[mA]',size='x-small')ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('Current (Fluoro)')ax = fig.add_subplot(4,3,5)ax.hist(current_A, 50, range =(1, 800)) ax.set_xlabel('Current /[mA]',size='x-small')ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('Current (Acquisition)')ax = fig.add_subplot(4,3,6)ax.hist(current, 50, range =(1, 800)) ax.set_xlabel('Current /[mA]',size='x-small')ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('Current')#Watervalue histogram ax = fig.add_subplot(4,3,7)ax.hist(watervalue, 50, range =(1, 500)) ax.set_xlim(1, 500)ax.set_xlabel('Watervalue /[mm]',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title("Watervalue; [mean, SD]={0}".format( [ round(numpy.mean(watervalue)), round(numpy.std(watervalue)) ]), size='small' ) #SID histogram ax = fig.add_subplot(4,3,8)ax.hist(SID, 50) ax.set_xlabel('SID /[cm]',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title("SID; [mean, SD]={0}".format( [ round(numpy.mean(SID)), round(numpy.std(SID)) ]), size='small' )#Zoom histogram ax = fig.add_subplot(4,3,10)ax.hist(zoom_F, 50, range =(0, 5)) ax.set_xlabel('Zoom',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)ax.set_xlim(0,5)plt.title('Zoom (Fluoro)')ax = fig.add_subplot(4,3,11)ax.hist(zoom_A, 50, range =(0, 5)) ax.set_xlabel('Zoom',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)ax.set_xlim(0,5)plt.title('Zoom (Acquisition)')ax = fig.add_subplot(4,3,12)ax.hist(zoom, 50, range =(0, 5)) ax.set_xlabel('Zoom',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('Zoom')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part1'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_1.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()##################################################################################part2if self.cb2.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19))#RAO-angle histogram ax = fig.add_subplot(4,3,1)ax.hist(rao, 50) ax.set_xlabel('RAO-angle /[$\,^{\circ}$]',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('RAO-angle')#Cranial-angle histogramax = fig.add_subplot(4,3,2)ax.hist(cran, 50, range=(-50, 50)) ax.set_xlabel('Cranial-angle /[$\,^{\circ}$]',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title('Cranial-angle')#Pulse-power histogram ax = fig.add_subplot(4,3,4)ax.hist(pulsepower_F, 50) ax.set_xlabel('Pulse-power /[kW]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)plt.title('Pulse-power (Fluoro)')ax = fig.add_subplot(4,3,5)ax.hist(pulsepower_A, 50) ax.set_xlabel('Pulse-power /[kW]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)#ax.set_xlim(0, 50)plt.title('Pulse-power (Acquisition)')ax = fig.add_subplot(4,3,6)ax.hist(pulsepower_nullfrei, 50)ax.set_xlabel('Pulse-power /[kW]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)#ax.set_xlim(0, 50)plt.title('Pulse-power')#Pulse-rate histogramax = fig.add_subplot(4,3,7)ax.hist(frequency_F, 50) ax.set_xlabel('Pulse rate /[Hz]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)plt.title('Pulse rate (Fluoro)')ax = fig.add_subplot(4,3,8)ax.hist(frequency_A, 50) ax.set_xlabel('Pulse rate /[Hz]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)plt.title('Pulse rate (Acquisition)')ax = fig.add_subplot(4,3,9)ax.hist(frequency, 50) ax.set_xlabel('Pulse rate /[Hz]', size='x-small') ax.set_ylabel('Occurance /#', size='x-small') ax.grid(True)plt.title('Pulse rate') #Watervalue-voltage plot ax = fig.add_subplot(4,3,10) ax.plot(watervalue_F, voltage_F, '.') ax.set_xlabel('Watervalue /[mm]', size='x-small') ax.set_ylabel('Voltage /[kV]', size='x-small') ax.grid(True)plt.title('Watervalue - voltage (Fluoro)')ax = fig.add_subplot(4,3,11)ax.plot(watervalue_A , voltage_A, '.') ax.set_xlabel('Watervalue /[mm]', size='x-small') ax.set_ylabel('Voltage /[kV]', size='x-small') ax.grid(True)plt.title('Watervalue - voltage (Acquisition)')ax = fig.add_subplot(4,3,12)ax.plot(watervalue, voltage , '.') ax.set_xlabel('Watervalue /[mm]', size='x-small') ax.set_ylabel('Voltage /[kV]', size='x-small')ax.grid(True)plt.title('Watervalue - voltage')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part2'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_2.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close() ##################################################################################part3if self.cb3.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19))plt.rc('xtick', labelsize=10) plt.rc('ytick', labelsize=10) plt.rc("axes", titlesize=12)#Watervalue-current plotax = fig.add_subplot(4,3,1) ax.plot(watervalue_F, current_F, '.') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'Current /[mA]', size='x-small') ax.grid(True)plt.title(r'Watervalue - current (Fluoro)',size='small')ax = fig.add_subplot(4,3,2)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))] , '.', color='r', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))] , '.', color='b', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'Current /[mA]', size='x-small') ax.set_xlim(0,450)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)plt.title(r'Watervalue - current (Acquisition)',size='small')ax = fig.add_subplot(4,3,3)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))] , '.', color='r', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))] , '.', color='b', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'Voltage /[kV]', size='x-small') ax.set_xlim(0,450)ax.set_ylim(40,125)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)plt.title(r'Watervalue - voltage (Acquisition)',size='small')#Current-voltage plotax = fig.add_subplot(4,3,4) ax.plot(current_F, voltage_F, '.',color='r') ax.plot(current_A, voltage_A, '.',color='b') ax.set_xlabel(r'Current /[mA]', size='x-small') ax.set_ylabel(r'Voltage /[kV]', size='x-small') ax.grid(True)plt.title(r'Current - voltage (Fl(r),Acq(b))',size='small')ax = fig.add_subplot(4,3,5)if self.events>1:ax.hist(self.myXEvent.gamma[:self.events])ax.set_xlabel(r'Gamma', size='x-small') ax.set_ylabel(r'Number of Occ.', size='x-small') ax.grid(True)plt.title(r'Histogramm Gamma [mean,std]=[%2.1f,%2.1f]'%(self.myXEvent.gamma[:self.events].mean(),self.myXEvent.gamma[:self.events].std()),size='small')####midpoint x-ray try:MP=calc_midpoints_from_sample(self.myXEvent.tube_focal_spot_pos_table)ax = fig.add_subplot(4,3,6)ax.plot(MP[:,0], MP[:,1] , '.') ax.set_xlabel(r'x pos', size='x-small') ax.set_ylabel(r'z pos', size='x-small') ax.grid(True)plt.title(r'Distr. of x-ray interceptions (mean: [%2.1f,%2.1f,%2.1f])'%(MP[:,0].mean(),MP[:,1].mean(),MP[:,2].mean()),size='small')except:print "Error during calculation of interception points. Skipping plot..."#Watervalue-SID plotax = fig.add_subplot(4,3,7)ax.plot(watervalue, SID , '.') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'SID /[cm]', size='x-small') ax.grid(True)plt.title(r'Watervalue - SID',size='small')#Watervalue-Rao plotax = fig.add_subplot(4,3,8)ax.plot(watervalue, rao , '.') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'Rao-angle /[$\,^{\circ}$]', size='x-small') ax.grid(True)plt.title(r'Watervalue - Rao',size='small')#Watervalue-Cran plot ax = fig.add_subplot(4,3,9)ax.plot(watervalue, cran , '.') ax.set_xlabel(r'Watervalue /[mm]', size='x-small') ax.set_ylabel(r'Cran-angle /[$\,^{\circ}$]', size='x-small') ax.grid(True)plt.title(r'Watervalue - Cran',size='small')#Rao - cran plotax = fig.add_subplot(4,3,10)ax.plot(rao, cran , '.') ax.set_xlabel(r'Rao-angle /[$\,^{\circ}$]', size='x-small') ax.set_ylabel(r'Cran-angle /[$\,^{\circ}$]', size='x-small') ax.grid(True)plt.title('Rao - Cran',size='small')#Rao - cran plotax = fig.add_subplot(4,3,11)ax.plot(self.myXEvent.table_height, self.myXEvent.cran , '.') ax.set_xlabel(r'Table height /[cm]', size='x-small') ax.set_ylabel(r'Cran-angle /[$\,^{\circ}$]', size='x-small') ax.grid(True)ax.set_xlim(-30,30)plt.title(r'Table height - Cran',size='small') #SID - cran plotax = fig.add_subplot(4,3,12)ax.plot(self.myXEvent.SID, self.myXEvent.cran , '.') ax.set_xlabel(r'SID /[cm]', size='x-small') ax.set_ylabel(r'Cran-angle /[$\,^{\circ}$]', size='x-small') ax.grid(True)ax.set_xlim(80,130)plt.title(r'SID - Cran',size='small') fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part3'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_3')outputfile=os.path.join(self.resultsDirSN,name)if (self.cb_png.GetValue()==False):plt.savefig(outputfile+'.pdf')else:plt.savefig(outputfile+'.png')plt.close()####################################################################################################################### #part4if self.cb4.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19)) #Cu-filter histogramax = fig.add_subplot(4,3,1) ax.hist(filter_F, 50) ax.set_xlabel('Cu-filter /[mm]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title('Cu-filter (Fluoro)')ax = fig.add_subplot(4,3,2) ax.hist(filter_A, 50) ax.set_xlabel('Cu-filter /[mm]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title('Cu-filter (Acquisition)')ax = fig.add_subplot(4,3,3) ax.hist(filter, 50) ax.set_xlabel('Cu-filter /[mm]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title('Cu-filter')#Skindoserate histogramskindoserate_A_ = [] #dies dient nur zur besseren Skalierung der plotsskindoserate_F_ = []skindoserate_nullfrei_ = []for i in range(len(skindoserate_A)):skindoserate_A_.append(skindoserate_A[i]/100.)for i in range(len(skindoserate_nullfrei)):skindoserate_nullfrei_.append(skindoserate_nullfrei[i]/100.) for i in range(len(skindoserate_F)):skindoserate_F_.append(skindoserate_F[i]/100.)ax = fig.add_subplot(4,3,4)ax.hist(skindoserate_F_, 50) ax.set_xlabel('Skindoserate /[100*$\mu$Gy/s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Skindoserate (Fluoro)')ax = fig.add_subplot(4,3,5)ax.hist(skindoserate_A_, 50) ax.set_xlabel('Skindoserate /[100*$\mu$Gy/s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Skindoserate (Acquisition)')ax = fig.add_subplot(4,3,6)ax.hist(skindoserate_nullfrei_, 50) ax.set_xlabel('Skindoserate /[100*$\mu$Gy/s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Skindoserate')#Systemdose - histogram (Fluoro, <20nGy)Datum = []Datum.extend(Datum_array)Datum.append(11) #hier wird eine Zahl angehängt, um in der Schleife darunter auch den letzten Tag zu erfassenModusF = [] #zählt, wie oft Modus F auftrittModusF_day = [] #gibt an, wie oft Modus F pro Tag auftrittfor i in range(len(Datum)-1):if self.myXEvent.mode[i] == ord('F'): ModusF.append(0)if Datum[i] != Datum[i+1]:ModusF_day.append(len(ModusF)) Kopie = []for i in range(len(ModusF_day)):Kopie.append(ModusF_day[i])for i in range(1, len(ModusF_day)):ModusF_day[i] = Kopie[i] - Kopie[i-1] #nur die Differenzen interessieren unsVektor2 = []Vektor3 = [] for i in range(len(Datum)-1): #hier wird die Anzahl der Fluoro-Ereignisse <20nGy pro Tag ermitteltif self.myXEvent.SysDose_with_ZDF[i] != 0:if self.myXEvent.SysDose_with_ZDF[i] < 20: #<20nGyif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.wPawMode[i] == 5:Vektor3.append(1)if Datum[i] != Datum[i+1]:Vektor2.append(len(Vektor3)) #gibt an, wie oft Modus F pro Tag auftrittKopie = []for i in range(len(Vektor2)):Kopie.append(Vektor2[i])for i in range(1, len(Vektor2)):Vektor2[i] = Kopie[i] - Kopie[i-1] Vektor4 = []Vektor5 = [] for i in range(len(Datum)-1): #hier wird die Anzahl der Fouoro-Ereignisse <20nGy bei 125 kV pro Tag ermitteltif self.myXEvent.SysDose_with_ZDF[i] != 0:if self.myXEvent.SysDose_with_ZDF[i] < 20: #<20nGyif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.wPawMode[i] == 5:if self.myXEvent.voltage[i] == 125: #125kVVektor4.append(0)if Datum[i] != Datum[i+1]:Vektor5.append(len(Vektor4)) Kopie = []for i in range(len(Vektor5)):Kopie.append(Vektor5[i])for i in range(1, len(Vektor5)):Vektor5[i] = Kopie[i] - Kopie[i-1] plotvektor = []for i in range(len(time_F)): if self.myXEvent.SysDose_with_ZDF[i] != 0:if self.myXEvent.SysDose_with_ZDF[i] < 50: #<50nGyif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.wPawMode[i] == 5:plotvektor.append(self.myXEvent.SysDose_with_ZDF[i])if plotvektor.__len__()>0:ax = fig.add_subplot(4,3,7)ax.hist(plotvektor, 50) ax.set_xlabel('Systemdose /[nGy]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Systemdose (<50nGy, Fluoro)')#Pulse-duration histogram ax = fig.add_subplot(4,3,8)ax.hist(xtime, 50) ax.set_xlabel('Pulse-duration /[ms]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Pulse-duration')#Dutycycle-histogramm ax = fig.add_subplot(4,3,9)ax.hist(dutycycle, 50) ax.set_xlabel('Dutycycle', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Dutycycle')#Scenelength-histogramm ax = fig.add_subplot(4,3,10)ax.hist(scenelength_F, 50) ax.set_xlabel('Scenelength /[s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Scenelength (Fluoro)')ax = fig.add_subplot(4,3,11)ax.hist(scenelength_A, 50) ax.set_xlabel('Scenelength /[s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Scenelength (Acquisition)')ax = fig.add_subplot(4,3,12)ax.hist(scenelength, 50) ax.set_xlabel('Scenelength /[s]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Scenelength')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part4'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')if len(Vektor5) == 0:vvv = 0else:vvv = round(numpy.mean(Vektor5))fig.text(0.1, 0.05, 'Systemdose (Fluoro <20nGy @125kV/day): '+str(vvv)+' Systemdose (Fluoro <20nGy/day): '+str(round(numpy.mean(Vektor2)))+' Systemdose (Fluoro/day): '+str(round(numpy.mean(ModusF_day))) )name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_4.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()##################################################################################################################################part5if self.cb5.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19)) plt.rc('xtick', labelsize=10) plt.rc('ytick', labelsize=10) plt.rc("axes", titlesize=12)#Patient-studytime histogrammaaa = []ccc = []ccc.append(Time[0]) #Beginn der Untersuchung des ersten Patienten for i in range(1, len(SID)):if self.myXEvent.pat_number[i]!=self.myXEvent.pat_number[i+1]:ccc.append(Time[i-1]) #Ende der Untersuchung des bisherigen Patientenccc.append(Time[i]) #Beginn der Untersuchung des neuen Patienten ccc.append(Time[len(Time)-1]) #Ende der Untersuchung des letzten Patienten for i in range(0,len(ccc),2): aaa.append(ccc[i+1]-ccc[i]) #Speichert die Zeit zwischen Beginn und Ende der Untersuchungszeit eines Patientenfor i in range(len(aaa)): #Umrechnung in Minutenaaa[i] = aaa[i]/60.ax = fig.add_subplot(4,3,1)ax.hist(aaa, 50) ax.set_xlabel('Patient-studytime /[min]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title("Patient-studytime [mean, patients]={0}".format([round(mean(aaa)), self.myXEvent.pat_number[len(SID)-1]]), size='x-small')#BE/dayaaa = [0]for i in range(len(Datum_array)-1):if Datum_array[i] != Datum_array[i+1]:aaa[-1]+=self.myXEvent.BE_total[i]aaa.append(0) else:aaa[-1]+=self.myXEvent.BE_total[i]aaa[-1]+=self.myXEvent.BE_total[i]anzahl_Tage = len(aaa)ax = fig.add_subplot(4,3,2)ax.hist(aaa, 50) ax.set_xlabel('BE/day', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title("BE/day [total BE, mean BE, days]={0}".format( [round(self.myXEvent.BE_total.sum()),round(numpy.mean(aaa)),anzahl_Tage] ), size='x-small')#BE / focus /dayax = fig.add_subplot(4,3,3) small_BE_per_day = self.myXEvent.BE_F1.sum()/day_total #es soll der Wert pro Tag dargestellt werdenlarge_BE_per_day = self.myXEvent.BE_F2.sum()/day_totalmicro_BE_per_day = self.myXEvent.BE_FG.sum()/day_totalax.bar((1,2,3),(small_BE_per_day,large_BE_per_day,micro_BE_per_day),0.3) ax.text(1, 1, round(small_BE_per_day),size='x-small',color='red')ax.text(2, 1, round(large_BE_per_day),size='x-small',color='red')ax.text(3, 1, round(micro_BE_per_day),size='x-small',color='red') ax.set_xlabel('Focus', size='x-small')ax.set_ylabel('Mean BE / day', size='x-small')ax.grid(True) ax.set_xlim(1,3.3) plt.xticks([1, 2, 3], ['small', 'large', 'micro']) plt.title("Total BE / day: {0} (all days)".format(round(small_BE_per_day+large_BE_per_day+micro_BE_per_day)),size='x-small') #Scenelength - pulse-power ax = fig.add_subplot(4,3,4)ax.plot(scenelength_F ,pulsepower_F, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-power (F)')ax = fig.add_subplot(4,3,5)ax.plot(scenelength_A ,pulsepower_A, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-power (A)')ax = fig.add_subplot(4,3,6)ax.plot(scenelength, pulsepower_nullfrei, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-power')#Scenelengt - mean-power ax = fig.add_subplot(4,3,7)ax.plot(scenelength_F, meanpower_F, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Mean power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Mean power (F)')ax = fig.add_subplot(4,3,8)ax.plot(scenelength_A, meanpower_A, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Mean power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Mean power (A)')ax = fig.add_subplot(4,3,9)ax.plot(scenelength, meanpower, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Mean power /[kW]', size='x-small') ax.grid(True)plt.title('Scenelength - Mean power')#Scenelength - dutycycleax = fig.add_subplot(4,3,10)ax.plot(scenelength_F, dutycycle_F, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Dutycycle /[%]', size='x-small') ax.grid(True)plt.title('Scenelength - dutycycle (F)')ax = fig.add_subplot(4,3,11)ax.plot(scenelength_A , dutycycle_A, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Dutycycle /[%]', size='x-small') ax.grid(True)plt.title('Scenelength - dutycycle (A)')ax = fig.add_subplot(4,3,12)ax.plot(scenelength , dutycycle, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Dutycycle /[%]', size='x-small') ax.grid(True)plt.title('Scenelength - dutycycle')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part5'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_5.pdf')outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()############################################################################################################### #part6if self.cb6.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19)) #Scenelength - Pulse-durationax = fig.add_subplot(4,3,1)ax.plot(scenelength_F , time_F, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.grid(True)ax.set_ylim(min(time_F)-2, max(time_F)+2)plt.title('Scenelength - Pulse-duration (F)')ax = fig.add_subplot(4,3,2)ax.plot(scenelength_A , time_A, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.set_ylim(0.5, max(self.myXEvent.time))ax.grid(True)plt.title('Scenelength - Pulse-duration (A)')ax = fig.add_subplot(4,3,3)ax.plot(scenelength, xtime, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.set_ylim(0.5, max(self.myXEvent.time))ax.grid(True)plt.title('Scenelength - Pulse-duration')#Pulse-rate - Pulse-durationax = fig.add_subplot(4,3,4)ax.plot(frequency_F, time_F, '.') ax.set_xlabel('Pulse-rate /[Hz]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.grid(True)plt.title('Pulse-rate - Pulse-duration (F)')ax = fig.add_subplot(4,3,5)ax.plot(frequency_A , time_A, '.') ax.set_xlabel('Pulse-rate /[Hz]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.grid(True)plt.title('Pulse-rate - Pulse-duration (A)')ax = fig.add_subplot(4,3,6)ax.plot(frequency, xtime, '.') ax.set_xlabel('Pulse-rate /[Hz]', size='x-small') ax.set_ylabel('Pulse-duration /[ms]', size='x-small') ax.grid(True)plt.title('Pulse-rate - Pulse-duration')#Scenelength - Pulse-rateax = fig.add_subplot(4,3,7)ax.plot(scenelength_F , frequency_F, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-rate /[Hz]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-rate (F)')ax = fig.add_subplot(4,3,8)ax.plot(scenelength_A , frequency_A, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-rate /[Hz]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-rate (A)')ax = fig.add_subplot(4,3,9)ax.plot(scenelength, frequency, '.') ax.set_xlabel('Scenelength /[s]', size='x-small') ax.set_ylabel('Pulse-rate /[Hz]', size='x-small') ax.grid(True)plt.title('Scenelength - Pulse-rate')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part6'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_6.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()#######################################################################################################################part7if self.cb7.GetValue() or self.cb0.GetValue():num_events=len(SID)fig = plt.figure(figsize=(14,19)) #skindose/study histogramskindose_F_study = numpy.array([])skindose_A_study = numpy.array([])num_ACQ_study = []fl_time_study = []last_i=0 temp_numACQ =0temp_fl_time =0 for i in range(0, num_events):if self.myXEvent.mode[i]==ord('A'):temp_numACQ+=1if self.myXEvent.mode[i]==ord('F'):temp_fl_time+=self.myXEvent.scenelength[i] #in secif self.myXEvent.pat_number[i]!=self.myXEvent.pat_number[i+1]:tmp=self.myXEvent.skindose*(self.myXEvent.mode==ord('F'))skindose_F_study=numpy.append(skindose_F_study,sum(tmp[last_i:i+1]))tmp=self.myXEvent.skindose*(self.myXEvent.mode==ord('A'))skindose_A_study=numpy.append(skindose_A_study,sum(tmp[last_i:i+1]))num_ACQ_study.append(temp_numACQ)temp_numACQ=0fl_time_study.append(temp_fl_time)temp_fl_time=0last_i=i skindose_A_study=skindose_A_study skindose_F_study=skindose_F_study skindose_total_study = skindose_A_study+skindose_F_study #in Gyax = fig.add_subplot(4,3,1)ax.hist(skindose_total_study/1000000., 50) ax.set_xlabel('Skindose/study /[Gy]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Skindose/study')self.num_studies=skindose_total_study.__len__()#Skindose/study Tortendiagramm skindose_3D = []_3D = []DAP_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'NO' and self.myXEvent._3Dmode[i] != 'no3d':skindose_3D.append(self.myXEvent.skindose[i])DAP_3D.append(self.myXEvent.DAP[i])_3D.append(self.myXEvent.skindose[i])fracs = []fracs.append(sum(skindose_F)/sum(skindose))fracs.append(sum(skindose_A)/sum(skindose))fracs.append(sum(skindose_3D)/sum(skindose))ax = fig.add_subplot(4,3,4)labels = 'Fluoro', 'Acquisition', '3D'ax.pie(fracs, labels=labels, colors=('r', 'g', 'y'), autopct='%1.1f%%', shadow=True)plt.title('Skindose/study')#skindose/studys_F = sum(skindose_F)s_F_study = s_F/self.num_studies #Division durch die Anzahl der untersuchtern Patientens_A = sum(skindose_A)s_A_study = s_A/self.num_studiess_3D = sum(_3D)s_3D_study = s_3D/self.num_studies total = sum(skindose)/self.num_studiesVektor = []for i in range(len(Datum_array)-1): #die Anzahl der Tage wird ermittelt; zunaechst anhand der "Tageswechsel"if Datum_array[i] != Datum_array[i+1]:Vektor.append(1) Vektor.append(1) #Tage = Tageswechsel + 1 tage = len(Vektor)ax = fig.add_subplot(4,3,7) ax.axis('off')ax.text(0.15, 0.90, u"FL /[mGy]: {0}".format(round(0.001*s_F_study, 2))) #von mikro auf milli-Gy umgerechnetax.text(0.15, 0.85, u"Percentage /[%]: {0}".format(round(100*(s_F_study/total)))) #in Prozent umgerechnetax.text(0.15, 0.75, u"ACQ /[mGy]: {0}".format(round(0.001*s_A_study, 2)))ax.text(0.15, 0.70, u"Percentage /[%]: {0}".format(round(100*(s_A_study/total), 2)))ax.text(0.15, 0.60, u"3D /[mGy]: {0}".format(round(0.001*s_3D_study, 2)))ax.text(0.15, 0.55, U"Percentage /[%]: {0}".format(round(100*(s_3D_study/total), 2)))ax.text(0.15, 0.45, u"--------------") ax.text(0.15, 0.35, u"Total /[mGy]: {0}".format(round(0.001*total, 2)))ax.text(0.15, 0.25, u"Skindose/day /[mGy]: {0}".format(round(0.001*sum(skindose)/tage, 2)))ax.text(0.15, 0.15, u"Number of studies: {0}".format(self.num_studies))plt.title('Skindose/study')#DAP/study histogramDAP_F_study = numpy.array([])DAP_A_study = numpy.array([])last_i=0 for i in range(0, num_events):if self.myXEvent.pat_number[i]!=self.myXEvent.pat_number[i+1]:tmp=self.myXEvent.DAP*(self.myXEvent.mode==ord('F'))DAP_F_study=numpy.append(DAP_F_study,sum(tmp[last_i:i+1]))tmp=self.myXEvent.DAP*(self.myXEvent.mode==ord('A'))DAP_A_study=numpy.append(DAP_A_study,sum(tmp[last_i:i+1]))last_i=i DAP_A_study=DAP_A_study DAP_F_study=DAP_F_study DAP_total_study = DAP_A_study+DAP_F_study #in Gyax = fig.add_subplot(4,3,2)ax.hist(DAP_total_study/1000./100., 50) ax.set_xlabel('DAP/study /[mGy*m^2]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('DAP/study')#DAP/study Tortendiagrammfracs = []fracs.append(sum(DAP_F)/sum(DAP))fracs.append(sum(DAP_A)/sum(DAP)) fracs.append(sum(DAP_3D)/sum(DAP)) ax = fig.add_subplot(4,3,5)labels = 'Fluoro', 'Acquisition', '3D'ax.pie(fracs, labels=labels, colors=('r', 'g', 'y'), autopct='%1.1f%%', shadow=True)plt.title('DAP/study')#DAP/studys_F = sum(DAP_F)s_F_study = s_F/self.num_studies #Division durch die Anzahl der untersuchten Patientens_A = sum(DAP_A)s_A_study = s_A/self.num_studies_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'NO' and self.myXEvent._3Dmode[i] != 'no3d':_3D.append(self.myXEvent.DAP[i])s_3D = sum(_3D)s_3D_study = s_3D/self.num_studies total = sum(DAP)/self.num_studiesax = fig.add_subplot(4,3,8) ax.axis('off')ax.text(0.15, 0.90, u"FL /[uGy m²]: {0}".format(round(10.*s_F_study/1000., 2))) #0.01 stammt als Faktor aus der .csv-Datei ax.text(0.15, 0.85, u"Percentage /[%]: {0}".format(round(100.*s_F_study/total))) ax.text(0.15, 0.75, u"ACQ /[uGy m²]: {0}".format(round(10.*s_A_study/1000., 2)))ax.text(0.15, 0.70, u"Percentage /[%]: {0}".format(round(100.*s_A_study/total, 2)))ax.text(0.15, 0.65, u"3D /[uGy m²]: {0}".format(round(10.*s_3D_study/1000.), 2))ax.text(0.15, 0.60, U"Percentage /[%]: {0}".format(round(100.*s_3D_study/total, 2)))ax.text(0.15, 0.55, U"DAP/Fluoro /[uGy m²]: {0}".format(round(0.01*s_F/len(zoom_F), 2)))ax.text(0.15, 0.50, U"DAP/Acq /[uGy m²]: {0}".format(round(0.01*s_A/len(zoom_A), 2)))ax.text(0.15, 0.45, u"--------------") ax.text(0.15, 0.35, u"Total /[uGy m²]: {0}".format(round(10.*total/1000., 2)))ax.text(0.15, 0.25, u"DAP/day /[uGy m²]: {0}".format(round(10.*(sum(DAP)/tage)/1000., 2)))plt.title('DAP/study')#Textbox_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'NO' and self.myXEvent._3Dmode[i] != 'no3d':_3D.append(1)ax = fig.add_subplot(4,3,12) ax.axis('off')ax.text(0.15, 0.9, u"Mean FL-time/study /[s]: {0}".format(round(sum(scenelength_F)/self.num_studies)))ax.text(0.15, 0.85, u"Mean # ACQ/study: {0}".format(round(len(scenelength_A)/self.num_studies)))ax.text(0.15, 0.8, u"Mean # 3D/study: {0}".format(round(len(_3D)/self.num_studies)))ax.text(0.15, 0.75, u"# studies: {0}".format(self.num_studies))ax.text(0.15, 0.7, u"ACQ mean time /[s]: {0}".format(round(mean(scenelength_A))))ax.text(0.15, 0.65, u"FL mean time /[s]: {0}".format(round(mean(scenelength_F))))ax.text(0.15, 0.6, u"ACQ total time /[s]: {0}".format(round(sum(scenelength_A))))ax.text(0.15, 0.55, u"FL total time /[s]: {0}".format(round(sum(scenelength_F))))ax.text(0.15, 0.5, "ACQ events: {0}".format(len(zoom_A)))ax.text(0.15, 0.45, "Fl events: {0}".format(len(zoom_F)))ax.text(0.15, 0.4, "3D events: {0}".format(len(_3D))) #10R/min FL Limit - 34cm in front of FD _10R = []for i in range(1, len(SID)):if self.myXEvent._10Rlimit[i] != 0:_10R.append(self.myXEvent._10Rlimit[i])ax = fig.add_subplot(4,3,3)ax.hist(_10R, 20) ax.set_xlabel('Skindose /[R/min]', size='x-small')ax.set_ylabel('Fluoro events /#', size='x-small')ax.grid(True) plt.title('10R/min FL limit - 34cm in front of FD')#time/study histogramax = fig.add_subplot(4,3,9) ax.hist(self.myXEvent.pat_time, 50) ax.set_xlabel('time/study [min]', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True)plt.title("time/study; [mean, SD]={0} min".format( [ round(numpy.mean(self.myXEvent.pat_time)), round(numpy.std(self.myXEvent.pat_time)) ]), size='small' )#Spreading of radiation eventsf_s = []f_l = []f_m = [] a_s = []a_l = []a_m = [] for i in range(len(SID)): #es wird nach focus und Fluoro/Acquisition aussortiertif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.focus[i] == ord('S'):f_s.append(1)elif self.myXEvent.focus[i] == ord('L'):f_l.append(1)else:f_m.append(1)if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.focus[i] == ord('S'):a_s.append(1)elif self.myXEvent.focus[i] == ord('L'):a_l.append(1)else:a_m.append(1) total = sum(f_s)+sum(f_l)+sum(f_m)+sum(a_s)+sum(a_l)+sum(a_m) ax = fig.add_subplot(4,3,10) ax.axis('off')ax.text(0.15, 0.9, u"Small Focus /[%]" )ax.text(0.30, 0.85, u"Fluoro: {0}".format(round(int(100*(sum(f_s)/total)),2))) #der Prozentsatz ergibt sich durch Summenbildung, da die Vektoren nur aus Eins-Einträgen bestehenax.text(0.30, 0.8, u"Aquisition: {0}".format(round(int(100*(sum(a_s)/total)),2))) ax.text(0.15, 0.7, u"Large Focus /[%]") ax.text(0.30, 0.65, u"Fluoro: {0}".format(round(int(100*(sum(f_l)/total)),2))) ax.text(0.30, 0.6, u"Acquisition: {0}".format(round(int(100*(sum(a_l)/total)),2))) ax.text(0.15, 0.5, u"Micro Focus /[%]")ax.text(0.30, 0.45, u"Fluoro: {0}".format(round(int(100*(sum(f_m)/total)),2))) ax.text(0.30, 0.4, u"Acquisition: {0}".format(round(int(100*(sum(a_m)/total)),2))) plt.title('Spreading of radiation events')#Summ. of Radiation time per focus & modef_s = []f_l = []f_m = [] a_s = []a_l = []a_m = [] for i in range(len(SID)): #es wird nach focus und Fluoro/Acquisition aussortiertif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.focus[i] == ord('S'):f_s.append(self.myXEvent.scenelength[i])elif self.myXEvent.focus[i] == ord('L'):f_l.append(self.myXEvent.scenelength[i])else:f_m.append(self.myXEvent.scenelength[i])if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.focus[i] == ord('S'):a_s.append(self.myXEvent.scenelength[i])elif self.myXEvent.focus[i] == ord('L'):a_l.append(self.myXEvent.scenelength[i])else:a_m.append(self.myXEvent.scenelength[i]) ax = fig.add_subplot(4,3,11) ax.axis('off')ax.text(0.15, 0.9, u"Small Focus /[s]" )ax.text(0.30, 0.85, u"Fluoro: {0}".format(round((sum(f_s)/1000./day_total),2))) ax.text(0.30, 0.8, u"Aquisition: {0}".format(round(sum(a_s)/1000./day_total,2))) ax.text(0.15, 0.7, u"Large Focus /[s]") ax.text(0.30, 0.65, u"Fluoro: {0}".format(round(sum(f_l)/1000./day_total,2))) ax.text(0.30, 0.6, u"Acquisition: {0}".format(round(sum(a_l)/1000./day_total,2))) ax.text(0.15, 0.5, u"Micro Focus /[s]")ax.text(0.30, 0.45, u"Fluoro: {0}".format(round(sum(f_m)/1000./day_total,2))) ax.text(0.30, 0.4, u"Acquisition: {0}".format(round(sum(a_m)/1000./day_total,2))) plt.title('Radiation time/day/focus (all days)')#Altenative Acquisitionfracs = []fracs.append(len(alternative_acquisition))fracs.append(len(DAP_A)-len(alternative_acquisition))ax = fig.add_subplot(4,3,6)labels = 'ACQ 2', 'ACQ 1'ax.pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)plt.title('Alternative Acquisition')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part7'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_7.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()#generate studyreportfilename='XA'+str(self.myXEvent.SN)+'_study_report_plane_'+self.plane+'.csv'outputfile=os.path.join(self.resultsDirSN,filename)fw = open(outputfile, "w")datastr= 'study, Start time, End time, Duration /[min],Skindose F/[mGy], Skindose A/[mGy], Skindose Tot/[mGy], Fluoro time /[min], #Acq, DAP Fluoro/[uGy*m*m], DAP Acq /[uGy*m*m], DAP Total/[uGy*m*m]\n'if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktdatastr=datastr.replace(',',';')fw.write(datastr)datastr=''for study in range(0,self.num_studies):datastr = '%d' % (study+1)datastr+= ',%s' % time.ctime(self.myXEvent.pat_in_time[study]) datastr+= ',%s' % time.ctime(self.myXEvent.pat_out_time[study]) datastr+= ',%d' % int16(self.myXEvent.pat_time[study]) #in mindatastr+= ',%5.2f' % (skindose_F_study[study]/1000.) datastr+= ',%5.2f' % (skindose_A_study[study]/1000.) datastr+= ',%5.2f' % (skindose_total_study[study]/1000.) datastr+= ',%5.2f' % (fl_time_study[study]/60./1000.) #mindatastr+= ',%d' % (num_ACQ_study[study])datastr+= ',%5.2f' % (DAP_F_study[study]/100.) datastr+= ',%5.2f' % (DAP_A_study[study]/100.) datastr+= ',%5.2f' % (DAP_total_study[study]/100.) datastr+= '\n' if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktdatastr=datastr.replace(',',';').replace('.',',')fw.write(datastr) #'%d,%s,%s,%d,%5.2f,%5.2f,%5.2f,%5.2f,%d,%5.2f,%5.2f,%5.2f\n',,studies_skindose(i,2)/1000.,(studies_skindose(i,1)+studies_skindose(i,2))/1000.,FL_time(i)/60,ACQ_sum(i),studies_doseareaprod(i,1)/100,studies_doseareaprod(i,2)/100.,(studies_doseareaprod(i,1)+studies_doseareaprod(i,2))/100);fw.close() #################################################################part8if self.cb8.GetValue() or self.cb0.GetValue():name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_8.pdf')namef1 = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_F1_results_8.pdf')namef2 = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_F2_results_8.pdf')namefg = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_FG_results_8.pdf')if (self.cb_png.GetValue()==False):pdf = PdfPages(name)#Verlauf Dosisausbeute F1, 125kV, 100 cm Abstand - Todo Dosisabfall ab 2000 BE? fig = plt.figure(figsize=(14,10)) ax = fig.add_subplot(111)datestrings = TIMEdosisausbeute = []dosisausbeute_date=[]tempy=[]mean_dose=[]std_dose=[]mean_dose_date=[]first_event=Trueindx=numpy.nonzero(self.myXEvent.frequency[0:self.events]==0.01)relevant_data=numpy.delete(self.myXEvent.dose_per_mAs[0:self.events],indx[0]) #remove Single Acqrelevant_data[np.isnan(relevant_data)]=0tot_mean=relevant_data.mean()tot_median=numpy.median(relevant_data)tot_std=relevant_data.mean()for i in range(len(SID)):if self.myXEvent.focus[i] == ord('S'):if self.myXEvent.scenelength[i] > 1000. and self.myXEvent._3Dmode[i]=='no3d':if self.myXEvent.frequency[i] != 0.01 and self.myXEvent.skindoserate[i]>0 and abs(1.-self.myXEvent.current[i]/self.myXEvent.soll_mA[i])<0.1 and self.myXEvent.current[i]>20.:if self.myXEvent.time[i] > 3:dosisausbeute.append(self.myXEvent.dose_per_mAs[i])dosisausbeute_date.append(TIME[i])if first_event:old_date=TIME[i]first_event=False if (TIME[i])[8:10]==old_date[8:10]: #same dayif math.fabs(self.myXEvent.dose_per_mAs[i]-tot_mean)<=2*tot_std: #nur Daten verwenden, die keine Ausreisser sindtempy.append(self.myXEvent.dose_per_mAs[i])else:if len(tempy)>0:mean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)tempy=[]old_date=TIME[i] if len(tempy)>0: #last daymean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)NN=len(dosisausbeute)soll=self.get_dose_efficiency_nominal()#lineare Regressionif len(dosisausbeute)>0: r = pylab.date2num([dateutil.parser.parse(s) for s in dosisausbeute_date])t = pylab.date2num([dateutil.parser.parse(s) for s in mean_dose_date])tt= linspace(pylab.date2num(dateutil.parser.parse(TIME[0])),pylab.date2num(dateutil.parser.parse(TIME[-1])), 100)sollwerte = [soll for i in tt]ax.plot_date(r, dosisausbeute,linestyle='.', color='b', label='Xray Events')ax.plot_date(tt, sollwerte, marker='', linestyle='solid', color='g', linewidth=2.0, label='Nominal value')if len(mean_dose)>1:pol = numpy.polyfit(t, mean_dose , 1)mean_value_fit = numpy.polyval(pol, tt)ax.plot_date(t, mean_dose , linestyle='.',markersize=10.0, color='r', label='Day mean')ax.plot_date(tt, mean_value_fit, marker='' , linestyle='--', color='r', linewidth=2.0, label='RMS Fit')ax.set_xlabel('Date', size='x-small') fig.autofmt_xdate()ax.set_ylabel(r'Dose efficiency /[$\mu$Gy/mAs]', size='x-small') ax.grid(True)ax.set_ylim(0,max(max(dosisausbeute),soll)*1.2)legend(bbox_to_anchor=(1.04, 1), loc=2, borderaxespad=0.)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')#Finger Filter if len(fingerfilter_in)>0:xxtime = [dateutil.parser.parse(z) for z in fingerfilter_in] fingerfilter_in_val = [15 for z in fingerfilter_in]fingerfilter_in_time = pylab.date2num(xxtime) ax.plot_date(fingerfilter_in_time,fingerfilter_in_val, marker='+',markersize=6, linestyle='',color='green', alpha=0.5,label='Finger_filter_in')#Filter reset if len(filter_reset)>0:xxtime = [dateutil.parser.parse(z) for z in filter_reset] filter_reset_val = [15 for z in filter_reset]filter_reset_time = pylab.date2num(xxtime) ax.plot_date(filter_reset_time,filter_reset_val, marker='o',markersize=6, linestyle='',color='grey', alpha=0.5,label='Filter_reset')#r = matplotlib.pyplot.scatter(pylab.date2num(dates), Dosisausbeute, colorbar_voltage)plt.title('Time Trend Dose Efficiency F1, 125kV, 0.0mm Cu, 100 cm distance')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)fig.text(0.85, 0.75,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.75-offset*0.02,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part8'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1])+'\n Mean Value: %4.2f' %numpy.array(dosisausbeute).mean()+r'$\pm$ %4.2f' %numpy.array(dosisausbeute).std()+r'$\mu$Gy/mAs'+r' (Nominal: '+str(soll)+r'$\mu$Gy/mAs)'+r' (Median: %4.2f $\mu$Gy/mAs)' %numpy.median(dosisausbeute), horizontalalignment='center', verticalalignment='center')fig.subplots_adjust(left=None, bottom=None, right=0.8, top=None, wspace=None, hspace=0.5)fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(namef1[:-3]+'png')#ramPlot = cStringIO.StringIO()#fig.savefig(ramPlot)#ramPlot.read()#ramPlot.seek( 0 )#img=Image.open( ramPlot )#img.load()#r, g, b, a = img.split()#img = Image.merge("RGB", (r, g, b))#img.save(namef1, "PDF", resolution=300.0)del fig#############################################################################Verlauf Dosisausbeute F2, 125kV, 100 cm Abstand - Todo Dosisabfall ab 2000 BE? fig = plt.figure(figsize=(14,10)) ax = fig.add_subplot(111)datestrings = TIMEdosisausbeute = []dosisausbeute_date=[]tempy=[]mean_dose=[]std_dose=[]mean_dose_date=[]first_event=Trueindx=numpy.nonzero(self.myXEvent.frequency[0:self.events]==0.01)relevant_data=numpy.delete(self.myXEvent.dose_per_mAs[0:self.events],indx[0]) #remove Single Acqrelevant_data[np.isnan(relevant_data)]=0tot_mean=relevant_data.mean()tot_median=numpy.median(relevant_data)tot_std=relevant_data.mean()for i in range(len(SID)):if self.myXEvent.focus[i] == ord('L'):if self.myXEvent.scenelength[i] > 1000. and self.myXEvent._3Dmode[i]=='no3d':if self.myXEvent.frequency[i] != 0.01 and self.myXEvent.skindoserate[i]>0 and abs(1.-self.myXEvent.current[i]/self.myXEvent.soll_mA[i])<0.1 and self.myXEvent.current[i]>20.:if self.myXEvent.time[i] > 3:dosisausbeute.append(self.myXEvent.dose_per_mAs[i])dosisausbeute_date.append(TIME[i])if first_event:old_date=TIME[i]first_event=False if (TIME[i])[8:10]==old_date[8:10]: #same dayif math.fabs(self.myXEvent.dose_per_mAs[i]-tot_mean)<=2*tot_std: #nur Daten verwenden, die keine Ausreisser sindtempy.append(self.myXEvent.dose_per_mAs[i])else:if len(tempy)>0:mean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)tempy=[]old_date=TIME[i] if len(tempy)>0: #last daymean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)NN=len(dosisausbeute)soll=self.get_dose_efficiency_nominal()#lineare Regressionif len(dosisausbeute)>0: r = pylab.date2num([dateutil.parser.parse(s) for s in dosisausbeute_date])t = pylab.date2num([dateutil.parser.parse(s) for s in mean_dose_date])tt= linspace(pylab.date2num(dateutil.parser.parse(TIME[0])),pylab.date2num(dateutil.parser.parse(TIME[-1])), 100)sollwerte = [soll for i in tt]ax.plot_date(r, dosisausbeute,linestyle='.', color='b', label='Xray Events')ax.plot_date(tt, sollwerte, marker='', linestyle='solid', color='g', linewidth=2.0, label='Nominal value')if len(mean_dose)>1:pol = numpy.polyfit(t, mean_dose , 1)mean_value_fit = numpy.polyval(pol, tt)ax.plot_date(t, mean_dose , linestyle='.',markersize=10.0, color='r', label='Day mean')ax.plot_date(tt, mean_value_fit, marker='' , linestyle='--', color='r', linewidth=2.0, label='RMS Fit')ax.set_xlabel('Date', size='x-small') fig.autofmt_xdate()ax.set_ylabel(r'Dose efficiency /[$\mu$Gy/mAs]', size='x-small') ax.grid(True)ax.set_ylim(0,max(max(dosisausbeute),soll)*1.2)legend(bbox_to_anchor=(1.04, 1), loc=2, borderaxespad=0.)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')#r = matplotlib.pyplot.scatter(pylab.date2num(dates), Dosisausbeute, colorbar_voltage)plt.title('Time Trend Dose Efficiency F2, 125kV, 0.0mm Cu, 100 cm distance')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)fig.text(0.85, 0.75,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.75-offset*0.02,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part8'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1])+'\n Mean Value: %4.2f' %numpy.array(dosisausbeute).mean()+r'$\pm$ %4.2f' %numpy.array(dosisausbeute).std()+r'$\mu$Gy/mAs'+r' (Nominal: '+str(soll)+r'$\mu$Gy/mAs)'+r' (Median: %4.2f $\mu$Gy/mAs)' %numpy.median(dosisausbeute), horizontalalignment='center', verticalalignment='center')fig.subplots_adjust(left=None, bottom=None, right=0.8, top=None, wspace=None, hspace=0.5)fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(namef2[:-3]+'png')#ramPlot = cStringIO.StringIO()#fig.savefig(ramPlot)#ramPlot.read()#ramPlot.seek( 0 )#img=Image.open( ramPlot )#img.load()#r, g, b, a = img.split()#img = Image.merge("RGB", (r, g, b))#img.save(namef2, "PDF", resolution=300.0)del fig#############################################################################Verlauf Dosisausbeute FG, 125kV, 100 cm Abstand - Todo Dosisabfall ab 2000 BE? fig = plt.figure(figsize=(14,10)) ax = fig.add_subplot(111)datestrings = TIMEdosisausbeute = []dosisausbeute_date=[]tempy=[]mean_dose=[]std_dose=[]mean_dose_date=[]first_event=Trueindx=numpy.nonzero(self.myXEvent.frequency[0:self.events]==0.01)relevant_data=numpy.delete(self.myXEvent.dose_per_mAs[0:self.events],indx[0]) #remove Single Acqrelevant_data[np.isnan(relevant_data)]=0tot_mean=relevant_data.mean()tot_median=numpy.median(relevant_data)tot_std=relevant_data.mean()for i in range(len(SID)):if self.myXEvent.focus[i] == ord('M'):if self.myXEvent.scenelength[i] > 1000. and self.myXEvent._3Dmode[i]=='no3d':if self.myXEvent.frequency[i] != 0.01 and self.myXEvent.skindoserate[i]>0 and abs(1.-self.myXEvent.current[i]/self.myXEvent.soll_mA[i])<0.1 and self.myXEvent.current[i]>20.:if self.myXEvent.time[i] > 3:dosisausbeute.append(self.myXEvent.dose_per_mAs[i])dosisausbeute_date.append(TIME[i])if first_event:old_date=TIME[i]first_event=False if (TIME[i])[8:10]==old_date[8:10]: #same dayif math.fabs(self.myXEvent.dose_per_mAs[i]-tot_mean)<=2*tot_std: #nur Daten verwenden, die keine Ausreisser sindtempy.append(self.myXEvent.dose_per_mAs[i])else:if len(tempy)>0:mean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)tempy=[]old_date=TIME[i] if len(tempy)>0: #last daymean_dose.append(numpy.array(tempy).mean())std_dose.append(numpy.array(tempy).std())mean_dose_date.append(old_date)NN=len(dosisausbeute)soll=self.get_dose_efficiency_nominal()if len(dosisausbeute)>0: r = pylab.date2num([dateutil.parser.parse(s) for s in dosisausbeute_date])t = pylab.date2num([dateutil.parser.parse(s) for s in mean_dose_date])tt= linspace(pylab.date2num(dateutil.parser.parse(TIME[0])),pylab.date2num(dateutil.parser.parse(TIME[-1])), 100)sollwerte = [soll for i in tt]ax.plot_date(r, dosisausbeute,linestyle='.', color='b', label='Xray Events')ax.plot_date(tt, sollwerte, marker='', linestyle='solid', color='g', linewidth=2.0, label='Nominal value')if len(mean_dose)>1:pol = numpy.polyfit(t, mean_dose , 1)mean_value_fit = numpy.polyval(pol, tt)ax.plot_date(t, mean_dose , linestyle='.',markersize=10.0, color='r', label='Day mean')ax.plot_date(tt, mean_value_fit, marker='' , linestyle='--', color='r', linewidth=2.0, label='RMS Fit')ax.set_xlabel('Date', size='x-small') fig.autofmt_xdate()ax.set_ylabel(r'Dose efficiency /[$\mu$Gy/mAs]', size='x-small') ax.grid(True)ax.set_ylim(0,max(max(dosisausbeute),soll)*1.2)legend(bbox_to_anchor=(1.04, 1), loc=2, borderaxespad=0.)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')#r = matplotlib.pyplot.scatter(pylab.date2num(dates), Dosisausbeute, colorbar_voltage)plt.title('Time Trend Dose Efficiency FG, 125kV, 0.0mm Cu, 100 cm distance')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)fig.text(0.85, 0.75,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.75-offset*0.02,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part8'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1])+'\n Mean Value: %4.2f' %numpy.array(dosisausbeute).mean()+r'$\pm$ %4.2f' %numpy.array(dosisausbeute).std()+r'$\mu$Gy/mAs'+r' (Nominal: '+str(soll)+r'$\mu$Gy/mAs)'+r' (Median: %4.2f $\mu$Gy/mAs)' %numpy.median(dosisausbeute), horizontalalignment='center', verticalalignment='center')fig.subplots_adjust(left=None, bottom=None, right=0.8, top=None, wspace=None, hspace=0.5)fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(namef2[:-3]+'png')del figif (self.cb_png.GetValue()==False):pdf.close()plt.close()#####################################################################part9if self.cb9.GetValue() or self.cb0.GetValue():name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_9.pdf')if (self.cb_png.GetValue()==False):pdf = PdfPages(name)fig = plt.figure(figsize=(14,10)) #Plot 27 des Matlab-Programms: Current-Offset im Zeitlichen Verlauf für verschiedene Fokenax = fig.add_subplot(111)offset_l = []offset_s = []offset_m = []TIME_l = []TIME_s = []TIME_m = []for i in range(len(SID)):#if current[i] > 50:if self.myXEvent.focus[i] == ord('S'):offset_s.append(self.myXEvent.offset[i])TIME_s.append(TIME[i]) if self.myXEvent.focus[i] == ord('L'):offset_l.append(self.myXEvent.offset[i])TIME_l.append(TIME[i])if self.myXEvent.focus[i] == ord('M'):offset_m.append(self.myXEvent.offset[i])TIME_m.append(TIME[i])dates_l = [dateutil.parser.parse(s) for s in TIME_l] dates_s = [dateutil.parser.parse(s) for s in TIME_s] dates_m = [dateutil.parser.parse(s) for s in TIME_m] ax.plot_date(pylab.date2num(dates_l), offset_l, marker='.', linestyle='-', color='r') #ax.plot_date(pylab.date2num(dates_l), offset_l, linestyle='.', color='r')ax.plot_date(pylab.date2num(dates_s), offset_s, marker='.', linestyle='-', color='b') #ax.plot_date(pylab.date2num(dates_s), offset_s, linestyle='.', color='b') ax.plot_date(pylab.date2num(dates_m), offset_m, marker='.', linestyle='-', color='g') #ax.plot_date(pylab.date2num(dates_m), offset_m, linestyle='.', color='g') pylab.legend(('large', 'small', 'micro'))ax.set_xlabel('Date', size='x-small') ax.set_ylabel('Current Offset /[0.1mA]', size='x-small') ax.grid(True)fig.autofmt_xdate()plt.title('Dynamic current offset vs time')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part9'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False): pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p1.png')#------Page 2-------- #Time Development of static Paramsfig = plt.figure(figsize=(14,10)) L_time = [dateutil.parser.parse(s) for s in Lernparameter_datum] LL_time = pylab.date2num(L_time)currL = []currS = []currM = []#minLength=min(len(L1),len(L2),len(L3))for i in range(len(L1)):currL.append( (300*int(L1[i])+int(L2[i])+int(L3[i]))/10. )currS.append( (300*int(S1[i])+int(S2[i])+int(S3[i]))/10. )if self.myXEvent.numFoken==3:currM.append( (300*int(M1[i])+int(M2[i])+int(M3[i]))/10. )#multiplicative stativ partax = fig.add_subplot(211)ax.plot_date(LL_time, L1, marker='.', linestyle='-', color='b')ax.plot_date(LL_time, S1, marker='.', linestyle='-', color='g')if self.myXEvent.numFoken==3:ax.plot_date(LL_time, M1, marker='.', linestyle='-', color='r')ax.set_ylabel('Multiplicative factor', size='x-small')ax.set_xlabel('Date', size='x-small') if self.myXEvent.numFoken==3:pylab.legend(('L1', 'S1', 'M1'))else:pylab.legend(('L1', 'S1')) fig.autofmt_xdate()ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8) plt.title('Time development of static multiplicative factors L1,S1,(M1)') #static offset ax = fig.add_subplot(212)ax.plot_date(LL_time, L2, marker='.', linestyle='-', color='b')ax.plot_date(LL_time, S2, marker='.', linestyle='-', color='g')if self.myXEvent.numFoken==3:ax.plot_date(LL_time, M2, marker='.', linestyle='-', color='r')fig.autofmt_xdate()if self.myXEvent.numFoken==3:pylab.legend(('L2', 'S2', 'M2'))else:pylab.legend(('L2', 'S2')) plt.title('Time development of static offsets L2,S2,(M2)') ax.set_ylabel('Static offset', size='x-small')ax.set_xlabel('Date', size='x-small') labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part9'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)pdf.close()else:plt.savefig(name[:-3]+'_p2.png')del figplt.close()################################################################################################## if self.cb10.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,10)) #Part8 des Matlab-Programms; Plotte fuer jede Zoom-Stude Watervalue gegen Voltage (nur für events mit: Acquisition, SID in [100,110], Cu = 0) ax = fig.add_subplot(111)voltage_a_0 = []voltage_a_1 = []voltage_a_2 = []voltage_a_3 = []voltage_a_4 = []voltage_a_5 = []water_a_0 = []water_a_1 = []water_a_2 = []water_a_3 = []water_a_4 = []water_a_5 = []for i in range(len(SID)):if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.SID[i] <=110:if self.myXEvent.SID[i] >=100:if self.myXEvent.filt[i] == 0:if self.myXEvent.zoom[i] == 0:voltage_a_0.append(self.myXEvent.voltage[i])water_a_0.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 1:voltage_a_1.append(self.myXEvent.voltage[i])water_a_1.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 2:voltage_a_2.append(self.myXEvent.voltage[i])water_a_2.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 3:voltage_a_3.append(self.myXEvent.voltage[i])water_a_3.append(self.myXEvent.was[i]) elif self.myXEvent.zoom[i] == 4:voltage_a_4.append(self.myXEvent.voltage[i])water_a_4.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 5:voltage_a_5.append(self.myXEvent.voltage[i])water_a_5.append(self.myXEvent.was[i])ax.plot(water_a_0, voltage_a_0, marker='.', linestyle='.', color='r') ax.plot(water_a_1, voltage_a_1, marker='.', linestyle='.', color='g') ax.plot(water_a_2, voltage_a_2, marker='.', linestyle='.', color='b') ax.plot(water_a_3, voltage_a_3, marker='.', linestyle='.', color='k') ax.plot(water_a_4, voltage_a_4, marker='.', linestyle='.', color='m') ax.plot(water_a_5, voltage_a_5, marker='.', linestyle='.', color='y') ax.set_xlabel('Watervalue /[mm]', size='x-small') ax.set_ylabel('Voltage /[kV]', size='x-small') ax.grid(True)ax.set_xlim(100, 500)ax.set_ylim(50,130)pylab.legend(('Zoom=0', 'Zoom=1', 'Zoom=2', 'Zoom=3', 'Zoom=4', 'Zoom=5'))plt.title('Watervalue -Voltage (Acquisition, 100<=SID<=110, Cu = 0)') fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part10'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_10.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile)plt.close()###################################################################################################part11if self.cb11.GetValue() or self.cb0.GetValue(): fig = plt.figure(figsize=(14,10)) #Part8 des Matlab-Programms; Plotte fuer jede Zoom-Stude Watervalue gegen Voltage (nur für events mit: Fluoro, SID in [100,110]) ax = fig.add_subplot(111)voltage_fl_0 = []voltage_fl_1 = []voltage_fl_2 = []voltage_fl_3 = []voltage_fl_4 = []voltage_fl_5 = []water_fl_0 = []water_fl_1 = []water_fl_2 = []water_fl_3 = []water_fl_4 = []water_fl_5 = []for i in range(len(SID)):if self.myXEvent.mode[i] == ord('F'):if self.myXEvent.SID[i] <=110:if self.myXEvent.SID[i] >=100:if self.myXEvent.zoom[i] == 0:voltage_fl_0.append(self.myXEvent.voltage[i])water_fl_0.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 1:voltage_fl_1.append(self.myXEvent.voltage[i])water_fl_1.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 2:voltage_fl_2.append(self.myXEvent.voltage[i])water_fl_2.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 3:voltage_fl_3.append(self.myXEvent.voltage[i])water_fl_3.append(self.myXEvent.was[i]) elif self.myXEvent.zoom[i] == 4:voltage_fl_4.append(self.myXEvent.voltage[i])water_fl_4.append(self.myXEvent.was[i])elif self.myXEvent.zoom[i] == 5:voltage_fl_5.append(self.myXEvent.voltage[i])water_fl_5.append(self.myXEvent.was[i])ax.plot(water_fl_0, voltage_fl_0, marker='.', linestyle='.', color='r') ax.plot(water_fl_1, voltage_fl_1, marker='.', linestyle='.', color='g') ax.plot(water_fl_2, voltage_fl_2, marker='.', linestyle='.', color='b') ax.plot(water_fl_3, voltage_fl_3, marker='.', linestyle='.', color='k') ax.plot(water_fl_4, voltage_fl_4, marker='.', linestyle='.', color='m') ax.plot(water_fl_5, voltage_fl_5, marker='.', linestyle='.', color='y') ax.set_xlabel('Watervalue /[mm]', size='x-small') ax.set_ylabel('Voltage /[kV]', size='x-small') ax.grid(True)ax.set_xlim(100, 500)ax.set_ylim(50,130)pylab.legend(('Zoom=0', 'Zoom=1', 'Zoom=2', 'Zoom=3', 'Zoom=4', 'Zoom=5'))plt.title('Watervalue -Voltage (Fluoro, 100<=SID<=110, all Cu)') fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part11'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_11.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()#####################################################################################################part12if self.cb12.GetValue() or self.cb0.GetValue(): #Part10 im Matlab-scriptfig = plt.figure(figsize=(14, 19)) time_L = []water_L = []voltage_L = []voltage_L_interpolation = []water_L_interpolation = [] #dient nur als Hilfe zur Interpolationtime_L_interpolation = []for i in range(len(SID)+1):if self.myXEvent.focus[i] == ord('L'):time_L.append(TIME[i-1])water_L.append(self.myXEvent.was[i])water_L_interpolation.append(self.myXEvent.was[i])time_L_interpolation.append(TIME[i-1]) #hier wird der i-1.te Index verwendet, da bei TIME im gegensatz zu den "self.my..."-arrays die "Kopfzeile" fehltvoltage_L.append(self.myXEvent.voltage[i])voltage_L_interpolation.append(self.myXEvent.voltage[i])if len(time_L)>0: time_L.append(TIME[len(TIME)-1]) time_L.append(TIME[0])water_L.append(-1) #es werden Werte hinzugefügt, die nicht im zu plottenden Bereich liegen; dient nur dazu, dass die Zeitachse mit Anfang und Ende der Messung übereinstimmtwater_L.append(-1)voltage_L.append(-1)voltage_L.append(-1) if len(water_L_interpolation) == 1: #ein einzelner Punkt legt keine Gerade fest- man braucht mindestens derer zweifor i in range(1, len(SID)+1): #wir brauchen also einen zweiten Punkt, der denselben Wert annimmt. if self.myXEvent.was[i] != water_L_interpolation[0]: #diese Abfrage dient nur dazu, nicht den selben Punkt, den wir schon haben, zu erwischenwater_L_interpolation.append(water_L_interpolation[0])time_L_interpolation.append(TIME[i-1])voltage_L_interpolation.append(voltage_L_interpolation[0])break Time_L = [dateutil.parser.parse(s) for s in time_L] Time_L_interpolation = [dateutil.parser.parse(s) for s in time_L_interpolation] xxtime = [dateutil.parser.parse(s) for s in TIME] s = pylab.date2num(xxtime) t = pylab.date2num(Time_L_interpolation)tt = linspace(min(s), max(s), 100)pol_ww = numpy.polyfit(t, water_L_interpolation , 1)pol_voltage = numpy.polyfit(t, voltage_L_interpolation,1)WERTE_ww = numpy.polyval(pol_ww, tt)WERTE_voltage = numpy.polyval(pol_voltage, tt)ax = fig.add_subplot(4,1,1)ax.plot(Time_L, water_L, marker='.', linestyle='.', color='r')ax.plot(tt, WERTE_ww, marker='_', linestyle='-', color='b')ax.set_ylim(0,600)ax.set_ylabel('Watervalue /[mm]', size='x-small')water_L.remove(-1)water_L.remove(-1)plt.title("Time series of watervalues for large focus, [mean(WW), delta(WW)]={0}".format([round(numpy.mean(water_L)),round(pol_ww[0]*(t[len(t)-1]-t[0]))])) fig.autofmt_xdate()ax = fig.add_subplot(4,1,2)ax.plot(Time_L, voltage_L, marker='.', linestyle='.', color='r')ax.plot(tt, WERTE_voltage, marker='_', linestyle='-', color='b')ax.set_ylim(40,130)ax.set_ylabel('Voltage /[kV]', size='x-small')voltage_L.remove(-1)voltage_L.remove(-1)plt.title("Time series of voltage for large focus, [mean(kV), delta(kV)]={0}".format([round(numpy.mean(voltage_L)),round(pol_voltage[0]*(t[len(t)-1]-t[0]))])) fig.autofmt_xdate()time_S = []water_S = []voltage_S = []voltage_S_interpolation = []water_S_interpolation = [] #dient nur als Hilfe zur Interpolationtime_S_interpolation = []for i in range(len(SID)+1):if self.myXEvent.focus[i] == ord('S'):time_S.append(TIME[i-1])water_S.append(self.myXEvent.was[i])water_S_interpolation.append(self.myXEvent.was[i])time_S_interpolation.append(TIME[i-1])voltage_S.append(self.myXEvent.voltage[i])voltage_S_interpolation.append(self.myXEvent.voltage[i])if len(time_S)>0: time_S.append(TIME[len(TIME)-1]) time_S.append(TIME[0])water_S.append(-1) #es werden Werte hinzugefügt, die nicht im zu plottenden Bereich liegen; dient nur dazu, dass die Zeitachse mit Anfang und Ende der Messung übereinstimmtwater_S.append(-1)voltage_S.append(-1)voltage_S.append(-1) if len(water_S_interpolation) == 1: #ein einzelner Punkt legt keine Gerade fest- man braucht mindestens derer zweifor i in range(1, len(SID)+1): #wir brauchen also einen zweiten Punkt, der denselben Wert annimmt. if self.myXEvent.was[i] != water_S_interpolation[0]: #diese Abfrage dient nur dazu, nicht den selben Punkt, den wir schon haben, zu erwischenwater_S_interpolation.append(water_S_interpolation[0])time_S_interpolation.append(TIME[i-1])voltage_S_interpolation.append(voltage_S_interpolation[0])break Time_S = [dateutil.parser.parse(s) for s in time_S] Time_S_interpolation = [dateutil.parser.parse(s) for s in time_S_interpolation] xxtime = [dateutil.parser.parse(s) for s in TIME] s = pylab.date2num(xxtime) t = pylab.date2num(Time_S_interpolation)tt = linspace(min(s), max(s), 100)pol_ww = numpy.polyfit(t, water_S_interpolation , 1)pol_voltage = numpy.polyfit(t, voltage_S_interpolation,1)WERTE_ww = numpy.polyval(pol_ww, tt)WERTE_voltage = numpy.polyval(pol_voltage, tt)ax = fig.add_subplot(4,1,3)ax.plot(Time_S, water_S, marker='.', linestyle='.', color='r')ax.plot(tt, WERTE_ww, marker='_', linestyle='-', color='b')ax.set_ylim(0,600)ax.set_ylabel('Watervalue /[mm]', size='x-small')water_S.remove(-1)water_S.remove(-1)plt.title("Time series of watervalues for small focus, [mean(WW), delta(WW)]={0}".format([round(numpy.mean(water_S)),round(pol_ww[0]*(t[len(t)-1]-t[0]))])) fig.autofmt_xdate()ax = fig.add_subplot(4,1,4)ax.plot(Time_S, voltage_S, marker='.', linestyle='.', color='r')ax.plot(tt, WERTE_voltage, marker='_', linestyle='-', color='b')ax.set_ylim(40,130)ax.set_ylabel('Voltage /[kV]', size='x-small')voltage_S.remove(-1)voltage_S.remove(-1)plt.title("Time series of voltage for small focus, [mean(kV), delta(kV)]={0}".format([round(numpy.mean(voltage_S)),round(pol_voltage[0]*(t[len(t)-1]-t[0]))])) fig.autofmt_xdate()fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part12'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_12.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close() ########################################################################################################################part13 - FG Analysisif self.cb13.GetValue() or self.cb0.GetValue(): fig = plt.figure(figsize=(14,20))name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_13_FG_Analysis.pdf')if (self.cb_png.GetValue()==False):pdf = PdfPages(name) plt.rc('xtick', labelsize=10) plt.rc('ytick', labelsize=10) plt.rc("axes", titlesize=12)#----1-----# FG current vs volatage for F and Aax = plt.subplot2grid((6, 2), (0, 0), rowspan=2)idx_A=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))==True)idx_F=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))==True)Spannung_A_M=self.myXEvent.voltage[idx_A]Spannung_F_M=self.myXEvent.voltage[idx_F]Current_A_M=self.myXEvent.current[idx_A]Current_F_M=self.myXEvent.current[idx_F]##prom data if (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==3): #3F Gigalixpromdata=parseXMLTubeProm(3,"g253685.xml")elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==3): #3F Megalix Cat+promdata=parseXMLTubeProm(3,"m204080_Draft_Olli.xml")xrayVoltage=promdata[6]maxCurrAcq=promdata[7]maxCurrFluoro=promdata[8] ax.plot(Spannung_A_M, Current_A_M, marker='.', linestyle='.', color='r', markeredgecolor='r', label='Acquisition')ax.plot(Spannung_F_M, Current_F_M, marker='.', linestyle='.', color='b', markeredgecolor='b', label='Fluoro')ax.plot(np.array(xrayVoltage['micro'])/1000.,np.array(maxCurrAcq['micro'])/1000.,marker='o',linestyle='-', color='black', label='punch-through')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Voltage vs Current - Micro Focus', size='small')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlim([40,130])ax.grid(True) #-----2-----#Histogramm over tube currents (Fluoro)ax = plt.subplot2grid((6, 2), (0, 1))if len(Current_F_M)>0:ax.hist(np.array(Current_F_M), color='b', edgecolor='b', bins=200,label='Fluoro') ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlabel('Current /[mA]', size='x-small')ax.set_ylabel('# Occurance', size='x-small')ax.set_xlim([0,200])ax.grid(True) plt.title('Histogram Currents - Micro Focus', size='small')#Histogramm over tube currentsax = plt.subplot2grid((6, 2), (1, 1))if len(Current_A_M)>0:ax.hist(np.array(Current_A_M), color='r', edgecolor='r', bins=200,label='Acquisition') ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlabel('Current /[mA]', size='x-small')ax.set_ylabel('# Occurance', size='x-small')ax.set_xlim([0,200])ax.grid(True) #plt.title('Histogram Currents Acq.- Micro Focus', size='small')#-----3-----#Histogramm over kVsax = plt.subplot2grid((6, 2), (2, 0))if len(Spannung_F_M)>0:ax.hist(Spannung_F_M, color='b', edgecolor='b', bins=86, label='Fluoro')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('# Occurance', size='x-small')ax.set_xlim([40,130])ax.grid(True) plt.title('Histogram Voltages - Micro Focus', size='small')ax = plt.subplot2grid((6, 2), (3, 0))if len(Spannung_A_M)>0:ax.hist(Spannung_A_M, color='r', edgecolor='r', bins=86, label='Acquisition')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('# Occurance', size='x-small')ax.set_xlim([40,130])ax.grid(True) #plt.title('Histogram Voltages - Micro Focus', size='small')#-----6-----#BE time development of all fociax = plt.subplot2grid((6, 2), (4, 1), rowspan=2)datesX = [dateutil.parser.parse(s) for s in TIME] ATx = pylab.date2num(datesX) onlyF1 =numpy.zeros(self.events)onlyF2 =numpy.zeros(self.events)onlyFG =numpy.zeros(self.events)scan_F1=numpy.zeros(self.events)scan_F2=numpy.zeros(self.events)scan_FG=numpy.zeros(self.events)Xevnt_F1=numpy.zeros(self.events)Xevnt_F2=numpy.zeros(self.events)Xevnt_FG=numpy.zeros(self.events)scentime_F1=numpy.zeros(self.events)scentime_F2=numpy.zeros(self.events)scentime_FG=numpy.zeros(self.events)for i in range(self.events):if self.myXEvent.focus[i]==ord('S'):onlyF1[i] +=onlyF1[i-1]+self.myXEvent.BE_F1[i]scan_F1[i]+=scan_F1[i-1]+self.myXEvent.frames[i]*self.myXEvent.time[i]Xevnt_F1[i]+=Xevnt_F1[i-1]+1scentime_F1[i]=scentime_F1[i-1]+self.myXEvent.scenelength[i]/1000.else:onlyF1[i]+=onlyF1[i-1]scan_F1[i]+=scan_F1[i-1]Xevnt_F1[i]+=Xevnt_F1[i-1]scentime_F1[i]+=scentime_F1[i-1]if self.myXEvent.focus[i]==ord('L'):onlyF2[i]+=onlyF2[i-1]+self.myXEvent.BE_F2[i]scan_F2[i]+=scan_F2[i-1]+self.myXEvent.frames[i]*self.myXEvent.time[i]Xevnt_F2[i]+=Xevnt_F2[i-1]+1scentime_F2[i]=scentime_F2[i-1]+self.myXEvent.scenelength[i]/1000.else:onlyF2[i]+=onlyF2[i-1]scan_F2[i]+=scan_F2[i-1]Xevnt_F2[i]+=Xevnt_F2[i-1]scentime_F2[i]+=scentime_F2[i-1]if self.myXEvent.focus[i]==ord('M'):onlyFG[i]+=onlyFG[i-1]+self.myXEvent.BE_FG[i]scan_FG[i]+=scan_FG[i-1]+self.myXEvent.frames[i]*self.myXEvent.time[i]Xevnt_FG[i]+=Xevnt_FG[i-1]+1scentime_FG[i]=scentime_FG[i-1]+self.myXEvent.scenelength[i]/1000.else:onlyFG[i]+=onlyFG[i-1]scan_FG[i]+=scan_FG[i-1]Xevnt_FG[i]+=Xevnt_FG[i-1]scentime_FG[i]+=scentime_FG[i-1]BE_total=onlyF1+onlyF2+onlyFGscan_tot=scan_F1+scan_F2+scan_FGXevnt_tot=Xevnt_F1+Xevnt_F2+Xevnt_FGax.plot_date(ATx, BE_total, marker='', linestyle='-',color='black', label='all (%d)'%BE_total[-1])ax.plot_date(ATx, onlyF1, marker='', linestyle='-',color='blue', label="F1 (%d)"%onlyF1[-1])ax.plot_date(ATx, onlyF2, marker='', linestyle='-',color='red', label="F2 (%d)"%onlyF2[-1])ax.plot_date(ATx, onlyFG, marker='', linestyle='-',color='green', label="FG (%d)"%onlyFG[-1])ax.set_ylabel('BE', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')rel_part_BE_FG=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))*self.myXEvent.BE_total).sum()*100./((self.myXEvent.focus==ord('M'))*self.myXEvent.BE_total).sum() if np.isnan(rel_part_BE_FG):rel_part_BE_FG=-1plt.title('BE per focus, FG: Fluoro %2.1f%% Acq. %2.1f%% '%(rel_part_BE_FG,100.-rel_part_BE_FG),fontsize='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8) #---------Xevents--------------ax = plt.subplot2grid((6, 2), (2, 1), rowspan=2)ax.plot_date(ATx, Xevnt_tot, marker='', linestyle='-',color='black', label='all (%d)'%Xevnt_tot[-1])ax.plot_date(ATx, Xevnt_F1, marker='', linestyle='-',color='blue', label="F1 (%d)"%Xevnt_F1[-1])ax.plot_date(ATx, Xevnt_F2, marker='', linestyle='-',color='red', label="F2 (%d)"%Xevnt_F2[-1])ax.plot_date(ATx, Xevnt_FG, marker='', linestyle='-',color='green', label="FG (%d)"%Xevnt_FG[-1])ax.set_ylabel('X-ray events', size='x-small')#ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')rel_part_FL_events_FG=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))).sum()*100./(self.myXEvent.focus==ord('M')).sum() if np.isnan(rel_part_FL_events_FG):rel_part_FL_events_FG=-1 plt.title('X-ray events per focus, FG: Fluoro %2.1f%% Acq. %2.1f%% '%(rel_part_FL_events_FG,100.-rel_part_FL_events_FG),fontsize='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n %H:%M'))#fig.autofmt_xdate()#labels = ax.get_xticklabels()#setp(labels, rotation=90, fontsize=8) labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)ax.set_xticklabels([])#---------ScanSec--------------ax = plt.subplot2grid((6, 2), (4, 0), rowspan=2)ax.plot_date(ATx, scan_tot/1000., marker='', linestyle='-',color='black', label='all (%d)s'%(scan_tot[-1]/1000.))ax.plot_date(ATx, scan_F1/1000., marker='', linestyle='-',color='blue', label="F1 (%d)s"%(scan_F1[-1]/1000.))ax.plot_date(ATx, scan_F2/1000., marker='', linestyle='-',color='red', label="F2 (%d)s"%(scan_F2[-1]/1000.))ax.plot_date(ATx, scan_FG/1000., marker='', linestyle='-',color='green', label="FG (%d)s"%(scan_FG[-1]/1000.))ax.set_ylabel('Scan Sec [s]', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')rel_part_ss_FG=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))*self.myXEvent.time*self.myXEvent.frames).sum()*100./((self.myXEvent.focus==ord('M'))*self.myXEvent.time*self.myXEvent.frames).sum() if np.isnan(rel_part_ss_FG):rel_part_ss_FG=-1 plt.title('Scan sec per focus, FG: Fluoro %2.1f%% Acq. %2.1f%% '%(rel_part_ss_FG,100.-rel_part_ss_FG),fontsize='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8) ##Tube SNsfig.text(0.85, 0.95,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.95-offset*0.01,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1#-----------page top and end-------------------fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part13 (FG Analysis)'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)plt.subplots_adjust(hspace=0.3)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p1.png')#------------page 2--------------------fig = plt.figure(figsize=(14,20))ax = fig.add_subplot(3,1,1)offset_l = []offset_s = []offset_m = []TIME_l = []TIME_s = []TIME_m = []for i in range(len(SID)):#if current[i] > 50:if self.myXEvent.focus[i] == ord('S'):offset_s.append(self.myXEvent.offset[i])TIME_s.append(TIME[i]) if self.myXEvent.focus[i] == ord('L'):offset_l.append(self.myXEvent.offset[i])TIME_l.append(TIME[i])if self.myXEvent.focus[i] == ord('M'):offset_m.append(self.myXEvent.offset[i])TIME_m.append(TIME[i])dates_l = [dateutil.parser.parse(s) for s in TIME_l] dates_s = [dateutil.parser.parse(s) for s in TIME_s] dates_m = [dateutil.parser.parse(s) for s in TIME_m] ax.plot_date(pylab.date2num(dates_l), offset_l, marker='.', linestyle='-', color='r') ax.plot_date(pylab.date2num(dates_s), offset_s, marker='.', linestyle='-', color='b') ax.plot_date(pylab.date2num(dates_m), offset_m, marker='.', linestyle='-', color='g') pylab.legend(('large', 'small', 'micro'))ax.set_xlabel('Date', size='x-small') ax.set_ylabel('Current Offset /[0.1mA]', size='x-small') leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)fig.autofmt_xdate()plt.title('Dynamic current offset vs time', size='small')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)# development of static paramsax = fig.add_subplot(3,1,2)L_time = [dateutil.parser.parse(s) for s in Lernparameter_datum] LL_time = pylab.date2num(L_time)currL = []currS = []currM = []for i in range(len(L1)):currL.append( (300*int(L1[i])+int(L2[i])+int(L3[i]))/10. )currS.append( (300*int(S1[i])+int(S2[i])+int(S3[i]))/10. )if self.myXEvent.numFoken==3:currM.append( (300*int(M1[i])+int(M2[i])+int(M3[i]))/10. )#multiplicative static partax.plot_date(LL_time, L1, marker='.', linestyle='-', color='b')ax.plot_date(LL_time, S1, marker='.', linestyle='-', color='g')if self.myXEvent.numFoken==3:ax.plot_date(LL_time, M1, marker='.', linestyle='-', color='r')ax.set_ylabel('Multiplicative factor', size='x-small')ax.set_xlabel('Date', size='x-small') if self.myXEvent.numFoken==3:pylab.legend(('L1', 'S1', 'M1'))else:pylab.legend(('L1', 'S1')) leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small') fig.autofmt_xdate()ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8) plt.title('Time development of static multiplicative factors', size='small') #static offset ax = fig.add_subplot(3,1,3)ax.plot_date(LL_time, L2, marker='.', linestyle='-', color='b')ax.plot_date(LL_time, S2, marker='.', linestyle='-', color='g')if self.myXEvent.numFoken==3:ax.plot_date(LL_time, M2, marker='.', linestyle='-', color='r')fig.autofmt_xdate()if self.myXEvent.numFoken==3:pylab.legend(('L2', 'S2', 'M2'))else:pylab.legend(('L2', 'S2')) leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small') plt.title('Time development of static offsets', size='small') ax.set_ylabel('Static offset', size='x-small')ax.set_xlabel('Date', size='x-small') labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)labels = ax.get_yticklabels()setp(labels, fontsize=8)##Tube SNsfig.text(0.85, 0.95,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.95-offset*0.01,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1fig.text(0.05, 0.95, u"ERR5115_TUBE_READJUST (A100) FG specific: {0}".format(ERR5115_TUBE_READJUST.count(2)),fontsize=8) #only FG events#-----------page top and end-------------------fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part13 (FG Analysis)'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p2.png')#------------page 3--------------------fig = plt.figure(figsize=(14,20))# used heat current vs tube current for different kV (from prom)ax = fig.add_subplot(3,2,1)##prom data if (self.myXEvent.tubetype==2 and self.myXEvent.numFoken==3): #3F Gigalixspecpromdata=parseXMLTubeProm_special(3,"g253685_specific.xml")elif (self.myXEvent.tubetype==1 and self.myXEvent.numFoken==3): #3F Megalix Cat+specpromdata=parseXMLTubeProm_special(3,"m204080_specific_Draft_Olli.xml")kVs =specpromdata[0]tube_currents =specpromdata[1]heating_currents =specpromdata[2]kVs_FG=np.array(kVs['micro'])tube_currents_FG=np.array(tube_currents['micro'])heating_currents_FG_matrix=np.array(heating_currents['micro'])heating_currents_FG=heating_currents_FG_matrix.reshape([1,-1])[0]ax.set_color_cycle(['red', 'green', 'yellow', 'black', 'blue', 'grey'])tube_current_temp=np.logspace(log2(0.5),log2(200.),num=100, base=2)heat_current_temp=np.zeros(tube_current_temp.shape)for kV in kVs_FG:for i in range (len(tube_current_temp)):heat_current_temp[i]=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,kV,tube_current_temp[i]*10.)/10.#print i, kV, tube_current_temp[i]ax.plot(heat_current_temp, tube_current_temp, marker='', linestyle='-', label=str(kV/1000.)+'kV')for j in range(len(kVs_FG)): ax.plot(heating_currents_FG_matrix[:,j]/10.,tube_currents_FG/10.,marker='.', linestyle='',color='black')ax.set_ylabel('Tube Current /[mA]', size='x-small')ax.set_xlabel('Heating Current /[mA]', size='x-small')plt.title('Tube current vs heating current - FG (from spec. tube prom)',fontsize='small')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlim([3000,5500])ax.set_yscale('log')ax.grid(True) # Tube current vs emitter temp (real data)ax = fig.add_subplot(3,2,2)idx_fg=((self.myXEvent.focus==ord('M'))==True)Current_M =self.myXEvent.current[idx_fg]Emitter_temp_M =self.myXEvent.emitter_temp[idx_fg]Tungst_eva =self.myXEvent.tungst_evaporation_rate[idx_fg]Tungst_thick =self.myXEvent.tungst_thickness[idx_fg]Voltage_M =self.myXEvent.voltage[idx_fg]Tungst_thick_A =self.myXEvent.tungst_thickness[idx_A]Tungst_thick_F =self.myXEvent.tungst_thickness[idx_F]HeatCurr_M =self.myXEvent.heating_current[idx_fg] maxCurrent_M =self.myXEvent.maxCurrentRev_punchthrough[idx_fg] Scenetime_M =self.myXEvent.scenelength[idx_fg] ax.plot(Current_M,Emitter_temp_M, marker='.', linestyle='')ax.set_ylabel('Emitter temp /[Grad C]', size='x-small')ax.set_xlabel('Tube current /[mA]', size='x-small')plt.title('Tube current vs emitter temperature', size='small')ax.grid(True)#Emitter temp vs kV ax = fig.add_subplot(3,2,3)ax.plot(Voltage_M,Emitter_temp_M, marker='.', linestyle='')ax.set_ylabel(u'Emitter temp /[°C]', size='x-small')ax.set_xlabel('Tube voltage /[kV]', size='x-small')plt.title('Tube voltage vs emitter temperature', size='small')ax.grid(True)#Emitter temp vs kV ax = fig.add_subplot(3,2,4)ax.plot(Emitter_temp_M,Tungst_eva, marker='.', linestyle='')ax.set_ylabel(u'Tungsten evap. rate /[µm/h]', size='x-small')ax.set_xlabel(u'Emitter temp /[°C]', size='x-small')plt.title('Tungsten evap. rate vs tube current', size='small')ax.set_yscale('log')ax.grid(True)#Emitter temp vs kV ax = fig.add_subplot(3,2,5)hist, bin_edges = np.histogram(Tungst_eva, bins=50, density=False)bin_edges_mid=bin_edges+bin_edges[1]-bin_edges[0]bin_edges_mid=bin_edges_mid[:-1]idx_hist=(hist!=0)hist=hist[idx_hist]bin_edges_mid=bin_edges_mid[idx_hist]ax.plot(bin_edges_mid, hist, marker='.', linestyle='')ax.set_xlabel(u'Tungsten evap. rate /[µm/h]', size='x-small')ax.set_ylabel('# Occurance', size='x-small')plt.title('Histogram Tungsten evaporation rate', size='small')ax.set_ylim([0.1,len(Tungst_eva)])ax.set_yscale('log')ax.grid(True)#Evaporated Tungsten Thickness vs kV slot (Fluoro and Acquisition)ax = fig.add_subplot(3,2,6)sort_indices_kv = numpy.argsort(Voltage_M)Voltage_M_sorted=Voltage_M[sort_indices_kv]Tungst_thick_sorted=Tungst_thick[sort_indices_kv]sort_indices_kv_A = numpy.argsort(Spannung_A_M)Voltage_M_A_sorted=Spannung_A_M[sort_indices_kv_A]Tungst_thick_A_sorted=Tungst_thick_A[sort_indices_kv_A]sort_indices_kv_F = numpy.argsort(Spannung_F_M)Voltage_M_F_sorted=Spannung_F_M[sort_indices_kv_F]Tungst_thick_F_sorted=Tungst_thick_F[sort_indices_kv_F]ax.plot(Voltage_M_A_sorted,Tungst_thick_A_sorted.cumsum()/Tungst_thick_sorted.sum(),label='Acq', color='red')ax.plot(Voltage_M_F_sorted,Tungst_thick_F_sorted.cumsum()/Tungst_thick_sorted.sum(),label='Fluoro',color='blue')ax.plot(Voltage_M_sorted,Tungst_thick_sorted.cumsum()/Tungst_thick_sorted.sum(),label='Total', color='black')ax.plot(Voltage_M_sorted,Voltage_M_sorted.cumsum()/Voltage_M_sorted.sum(),label='norm. acc. kV', color='black', linestyle='dashed')ax.set_xlabel('Tube Voltage /[kV] ', size='x-small')ax.set_ylabel('rel. Tungsten thickness', size='x-small')plt.title(u'Summed evaporated Tungsten thickness over voltage\nTungsten thickness: %2.1f µm'%Tungst_thick_sorted.sum(), size='small')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)## Tube SNsfig.text(0.85, 0.95,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.95-offset*0.01,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1#-----------page 3 top and end-------------------fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part13 (FG Analysis)'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p3.png')#------------page 4--------------------fig = plt.figure(figsize=(14,20))# heating curve ax = fig.add_subplot(3,2,1)ax.plot(HeatCurr_M,Emitter_temp_M,marker='.', linestyle='')ax.set_xlabel('heating current /[mA] ', size='x-small')ax.set_ylabel(u'emitter temperature /[°C]', size='x-small')plt.title(u'Heating Curve Megalix Cat+, FG (220µm thickness)', size='small')ax.grid(True)# Hist FG current/max current (from punch through) ax = fig.add_subplot(3,2,2)ax.hist(Current_M/maxCurrent_M,100)ax.set_ylabel('# occurance', size='x-small')ax.set_xlabel('current / max current power \n (based on punch-through tabe from default tube prom)', size='x-small') plt.title('Histogram current/max_current for FG', size='small')ax.set_xlim(0.0,1.0) ax.grid(True)# accumulated Tungsten thickness vs accumulated scenetimeax = fig.add_subplot(3,2,3)temp_array=numpy.array(self.myXEvent.maxPower_Istzeit)ax.plot(Scenetime_M.cumsum()/1000./3600.,Tungst_thick.cumsum(),marker='.', linestyle='')ax.set_ylabel(u'accum. Tungsten thickness /[µm]', size='x-small')ax.set_xlabel('accum. scenetime /[h]', size='x-small') plt.title(u'accumulated Tungsten thickness vs accumulated scenetime\n mean Tungsten evap. rate: %2.1f [µm/100h]'%(100.*Tungst_thick.sum()/(Scenetime_M.sum()/3600./1000.)), size='small')ax.grid(True)#---------Accum Scenetime--------------ax = fig.add_subplot(3,2,4)scentime_tot=scentime_F1+scentime_F2+scentime_FGax.plot_date(ATx, scentime_tot/3600., marker='', linestyle='-',color='black', label='all (%d h)'%(scentime_tot[-1]/3600.))ax.plot_date(ATx, scentime_F1/3600., marker='', linestyle='-',color='blue', label="F1 (%d h)"%(scentime_F1[-1]/3600.))ax.plot_date(ATx, scentime_F1/3600., marker='', linestyle='-',color='red', label="F2 (%d h)"%(scentime_F2[-1]/3600.))ax.plot_date(ATx, scentime_FG/3600., marker='', linestyle='-',color='green', label="FG (%d h)"%(scentime_FG[-1]/3600.))ax.set_ylabel('accu. scene time /[h]', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')rel_part_st_FG=((self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))*self.myXEvent.scenelength).sum()*100./((self.myXEvent.focus==ord('M'))*self.myXEvent.scenelength).sum() plt.title('Accum. scenetime per focus, FG: Fluoro %2.1f%% Acq. %2.1f%% '%(rel_part_st_FG,100.-rel_part_st_FG),fontsize='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8) #Histogramm Watervalue ax = fig.add_subplot(3,2,5)WV_FG=self.myXEvent.was[idx_fg]ax.hist(WV_FG, 50, range =(1, 500)) ax.set_xlim(1, 500)ax.set_xlabel('Watervalue /[mm]',size='x-small' )ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)plt.title("Watervalue FG; [mean, SD]={0}".format( [ round(numpy.mean(watervalue)), round(numpy.std(watervalue)) ]), size='small' ) # Hist FG heat currentax = fig.add_subplot(3,2,6)ax.hist(HeatCurr_M,100)ax.set_ylabel('# occurance', size='x-small')ax.set_xlabel('heating current /[mA]', size='x-small') plt.title('Histogram heating current for FG', size='small')ax.grid(True)## Tube SNsfig.text(0.85, 0.95,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.95-offset*0.01,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1#-----------page 4 top and end-------------------fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part13 (FG Analysis)'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p4.png')#------------page 5--------------------fig = plt.figure(figsize=(14,20))# generate punch-throught table with const tempTs=[2300,2400,2450,2500,2550,2600,2650]I_step=1ax = fig.add_subplot(3,2,1)for T0 in Ts:maxCurrAcqT0=[]heat_current=self.get_filament_heat_current(T0)for kV in xrayVoltage['micro']:mA_iter=tube_currents_FG[-1]act_heat_curr=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,kV,mA_iter)/10.while act_heat_curr>heat_current:act_heat_curr=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,kV,mA_iter)/10.mA_iter=mA_iter-I_stepmaxCurrAcqT0.append(mA_iter/10.)ax.plot(np.array(xrayVoltage['micro'])/1000.,np.array(maxCurrAcqT0),marker='o',linestyle='-')if T0==Ts[-1]:ax.text(77.,maxCurrAcqT0[-4],'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')else:ax.text(100.,maxCurrAcqT0[-2],'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')ax.plot(Spannung_A_M, Current_A_M, marker='.', linestyle='.', color='r', markeredgecolor='r', label='Acquisition')ax.plot(Spannung_F_M, Current_F_M, marker='.', linestyle='.', color='b', markeredgecolor='b', label='Fluoro')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Voltage vs Current - Micro Focus', size='small')ax.legend(loc=0)leg = plt.gca().get_legend()leg.get_frame().set_alpha(0.5) ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlim([40,130])ax.set_ylim([0,220])ax.grid(True) ####test Langmuir-Schottky Raumladungsgesetz I~U^(3/2)"""ax = fig.add_subplot(3,2,2)Ts=[2300,2400,2450,2500,2550,2600,2650]I_step=1for T in Ts:maxCurrAcqT0=[]heat_current=self.get_filament_heat_current(T)for kV in xrayVoltage['micro']:mA_iter=tube_currents_FG[-1]act_heat_curr=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,kV,mA_iter)/10.while act_heat_curr>heat_current:act_heat_curr=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,kV,mA_iter)/10.mA_iter=mA_iter-I_stepmaxCurrAcqT0.append(mA_iter/10.)ax.plot(np.log10(np.array(xrayVoltage['micro'])/1000.),np.log10(np.array(maxCurrAcqT0)),marker='o',linestyle='-')#ax.text(np.log10(110.),np.log10(maxCurrAcqT0[-1]),'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T)), size='x-small')ax.plot(np.log10(np.array(xrayVoltage['micro'])/1000.),2.5*np.log10(np.array(xrayVoltage['micro'])/1000.)-3., marker='',linestyle='dashed',label=r"$I \propto U^{3/2} $")ax.set_ylabel('log 10 Current /[mA]', size='x-small')ax.set_xlabel('log 10 Voltage /[kV]', size='x-small')ax.legend(loc=0)leg = plt.gca().get_legend()leg.get_frame().set_alpha(0.5) ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('Voltage vs Current (logarithmic) - Micro Focus', size='small')#ax.set_xlim([40,130])ax.grid(True) """####test Richardson thermionic emission mit Schottky Potential (mirror charge and e-Field)kB = 1.3806488e-23 # m2 kg s-2 K-1d = 0.013 #m-distance anode/cathodeepsilon= 1.20173e+06 #A/m^2/K^2 Richardson Konstantephi0=4.54 #eV ; Austrittsarbeit Elektronen aus Wolfram emmit_surface=4.3e-6/3. #m^2 3.5e_charge=1.6022e-19 #Ase_mass=9.1094e-31 #kgepsilon0=8.8542e-12 #As/(Vm)Ts=[2300,2400,2450,2500,2550,2600]ax = fig.add_subplot(3,2,2)for T0 in Ts:TK=T0+273.15 #C->K - emitter TempVs=np.array(xrayVoltage['micro']) # in VoltIs=emmit_surface*epsilon*TK*TK*np.exp(-phi0*e_charge/kB/TK)*np.exp(e_charge/2/kB/TK*np.sqrt(e_charge*Vs/np.pi/epsilon0/d)) #in Ampereax.plot(Vs/1000.,Is*1000., marker='',linestyle='-')if T0==Ts[-1]:ax.text(50.,Is[-7]*1000.,'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')else:ax.text(100.,Is[-2]*1000.,'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')plt.title('Theoretical emission curves\nRichardson\'s law of thermionic emission', size='small') ax.set_xlim([40,130])ax.set_ylim([0,220])ax.grid(True)###### with Schottky term for space charge shieldingax = fig.add_subplot(3,2,3)Vs=np.array([1000,2000,5000,10000,20000,25000,30000,35000,40000,45000,50000,60000,70000,80000,90000,100000,125000])#Vs=np.array(xrayVoltage['micro']) # in VoltI_sp=emmit_surface*epsilon0*np.sqrt(2*e_charge/e_mass)*4./9./d/d*np.power(Vs,1.5)for T0 in Ts:TK=T0+273.15 #C->K - emitter TempI_lim=emmit_surface*epsilon*TK*TK*np.exp(-phi0*e_charge/kB/TK)*np.exp(e_charge/2/kB/TK*np.sqrt(e_charge*Vs/np.pi/epsilon0/d)) #in Amperealpha=np.arctan(50.*(I_sp-I_lim))/(np.pi/2.)I_res=(1.-alpha)*I_sp+alpha*I_lim#ax.plot(Vs/1000.,I_lim*1000., marker='.',label=str(T0)+u'°C')ax.plot(Vs/1000.,I_lim*1000., marker='',linestyle='-')#ax.plot(Vs/1000.,alpha*100., marker='.',linestyle='-')if T0==Ts[-1]:ax.text(50.,I_lim[-7]*1000.,'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')else:ax.text(100.,I_lim[-2]*1000.,'T='+str(T0)+u'°C (%2.1fmA)'%(self.get_filament_heat_current(T0)), size='x-small')ax.plot(Vs/1000.,I_sp*1000., marker='.',linestyle='dashed',color='black') ax.set_xlim([1,130])ax.set_ylim([4,220])ax.grid(True) plt.title('Theoretical emission curves\nRichardson\'s law of thermionic emission with Schottky terms for space charge', size='small')# different punch through tablesax = fig.add_subplot(3,2,4)ax.plot(Spannung_A_M, Current_A_M, marker='.', linestyle='.', color='r', markeredgecolor='r', label='Acquisition')ax.plot(Spannung_F_M, Current_F_M, marker='.', linestyle='.', color='b', markeredgecolor='b', label='Fluoro')# from 3F Megalix Cat Prom 154082.a Punch through:# KV_MFTAB DW 400, 600, 770, 900, 1000, 1250# MFMAX_FOCP DD 33000, 79000, 137000, 150000, 150000, 150000# mA => 82.5 132 178 167 150 120 # from 3F Megalix Cat+ Prom 204080.a Punch through:# KV_MFTAB DW 400, 600, 770, 900, 1000, 1250# MFMAX_FOCP DD 52000, 108000, 146000, 170000, 170000, 170000# => mA: 130 180 190 189 170 136 xrayVoltages=np.array([40.,60.,77.,90.,100.,125.]) max_curr_AX_table =np.array([82.5,132.,190.,189.,170.,136.])max_curr_CV_table =np.array([82.5,132.,178.,189.,170.,136.])max_curr_Cat_table=np.array([82.5,132.,178.,167.,150.,120.])max_curr_Catplus_table=np.array([130.,180.,190.,189.,170.,136.])ax.plot(xrayVoltages,max_curr_AX_table,marker='.',linestyle='-', color='black', label='new AX')ax.plot(xrayVoltages,max_curr_CV_table,marker='+',linestyle='-', color='grey', label='new CV')ax.plot(xrayVoltages,max_curr_Cat_table,marker='x',linestyle='-', color='green', label='Cat')ax.plot(xrayVoltages,max_curr_Catplus_table,marker='*',linestyle='-', color='magenta', label='org Cat+')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Voltage vs Current - Micro Focus', size='small')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')leg.get_frame().set_alpha(0.5) ax.set_xlim([40,130])ax.grid(True) plt.title('Punch through tables', size='small')# accumulated evaporation vs accumulated scenetime with different punch through tables (just mA reduction to max allowed value)ax = fig.add_subplot(3,2,5)tungst_thickness_AX=numpy.zeros(self.myXEvent.range)tungst_thickness_CV=numpy.zeros(self.myXEvent.range)outputfile=os.path.join(self.resultsDirSN,'FG_data.csv')fw = open(outputfile, "w")datastr= 'kv, scenelength, tube_curr, heat_curr , em_temp, eva_rate, tube_curr_AX, heat_curr_AX, em_temp_AX, eva_rate_AX\n'fw.write(datastr)for i in range(self.events):max_curr_AX=self.my_linear_interpol1d(xrayVoltages,max_curr_AX_table,self.myXEvent.voltage[i])max_curr_CV=self.my_linear_interpol1d(xrayVoltages,max_curr_CV_table,self.myXEvent.voltage[i])current_AX= min(self.myXEvent.current[i],max_curr_AX)current_CV= min(self.myXEvent.current[i],max_curr_CV)heat_curr_AX=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,self.myXEvent.voltage[i]*1000,current_AX*10.)/10.heat_curr_CV=self.my_linear_interpol2d(kVs_FG,tube_currents_FG,heating_currents_FG,self.myXEvent.voltage[i]*1000,current_CV*10.)/10.emitt_temp_AX=self.get_filament_temp(heat_curr_AX)emitt_temp_CV=self.get_filament_temp(heat_curr_CV)tungst_thickness_AX[i]=self.get_evap_rate(emitt_temp_AX)*self.myXEvent.scenelength[i]/60./60./1000.tungst_thickness_CV[i]=self.get_evap_rate(emitt_temp_CV)*self.myXEvent.scenelength[i]/60./60./1000.if self.myXEvent.mode[i]==ord('A') and self.myXEvent.focus[i]==ord('M'):datastr= str(self.myXEvent.voltage[i])+','+str(self.myXEvent.scenelength[i]/1000.)+','+ str(self.myXEvent.current[i])+','+ str(self.myXEvent.heating_current[i])+',' +str(self.myXEvent.emitter_temp[i])+','+str(self.myXEvent.tungst_evaporation_rate[i])datastr=datastr+','+str(current_AX)+','+str(heat_curr_AX)+','+str(emitt_temp_AX)+','+str(self.get_evap_rate(emitt_temp_AX))datastr=datastr+','+str(current_CV)+','+str(heat_curr_CV)+','+str(emitt_temp_CV)+','+str(self.get_evap_rate(emitt_temp_CV))+'\n'fw.write(datastr)tungst_thickness_AX_M=tungst_thickness_AX[idx_fg]tungst_thickness_CV_M=tungst_thickness_CV[idx_fg]fw.close()ax.plot(Scenetime_M.cumsum()/1000./3600.,tungst_thickness_AX_M.cumsum(),marker='', linestyle='-' ,color='blue' ,label=u'AX (%2.2fµm)'%(tungst_thickness_AX_M.sum()))ax.plot(Scenetime_M.cumsum()/1000./3600.,tungst_thickness_CV_M.cumsum(),marker='', linestyle='dashed',color='green',label=u'CV (%2.2fµm)'%(tungst_thickness_CV_M.sum()))ax.plot(Scenetime_M.cumsum()/1000./3600.,Tungst_thick.cumsum(),marker='', linestyle='-',color='black',label=u'org (%2.2fµm)'%(Tungst_thick.sum()))ax.set_ylabel(u'accum. Tungsten thickness /[µm]', size='x-small')ax.set_xlabel('accum. scenetime /[h]', size='x-small') ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title(u'accumulated Tungsten thickness vs accumulated scenetime\n mean Tungsten evap. rate AX: %2.1f [µm/100h]\nmean Tungsten evap. rate CV: %2.1f [µm/100h]'%(100.*tungst_thickness_AX_M.sum()/(Scenetime_M.sum()/3600./1000.),100.*tungst_thickness_CV_M.sum()/(Scenetime_M.sum()/3600./1000.)), size='x-small')ax.grid(True)#Histogram over evaporated Tungsten in kV interval ax = fig.add_subplot(3,2,6)kv_bins=[40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125]tungst_sum_org=numpy.zeros(len(kv_bins)-1)tungst_sum_AX=numpy.zeros(len(kv_bins)-1)tungst_sum_CV=numpy.zeros(len(kv_bins)-1)for i in range(len(kv_bins)-1):tungst_sum_org[i]=((Voltage_M>=kv_bins[i])*(Voltage_M<kv_bins[i+1])*Tungst_thick).sum()tungst_sum_AX[i] =((Voltage_M>=kv_bins[i])*(Voltage_M<kv_bins[i+1])*tungst_thickness_AX_M).sum()tungst_sum_CV[i] =((Voltage_M>=kv_bins[i])*(Voltage_M<kv_bins[i+1])*tungst_thickness_CV_M).sum()ax.plot(kv_bins[:-1], tungst_sum_org, marker='.', linestyle='-', color='black',label='Cat+ org')ax.plot(kv_bins[:-1], tungst_sum_AX, marker='.', linestyle='-' ,color='blue',label='Cat+ AX')ax.plot(kv_bins[:-1], tungst_sum_CV, marker='.', linestyle='dashed',color='green', label='Cat+ CV')ax.set_ylabel(u'integral Tungsten thickness /[µm]', size='x-small')ax.set_xlabel('kV interval (55 means 55-60)', size='x-small')plt.title('Histogram over evaporated Tungsten in kV interval ', size='small')ax.set_xlim([40,130])ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)""" #Evaporated Tungsten Thickness vs kV slot (Fluoro and Acquisition) for alternative punch through tablesax = fig.add_subplot(3,2,6)Tungst_thick_sorted_AX_M=tungst_thickness_AX_M[sort_indices_kv]Tungst_thick_sorted_CV_M=tungst_thickness_CV_M[sort_indices_kv]ax.plot(Voltage_M_sorted,Tungst_thick_sorted_AX_M.cumsum(),label='Total AX', color='blue')ax.plot(Voltage_M_sorted,Tungst_thick_sorted_CV_M.cumsum(),label='Total CV', linestyle='dashed', color='green')ax.plot(Voltage_M_sorted,Tungst_thick_sorted.cumsum(),label='Total org', color='black')ax.set_xlabel('Tube Voltage /[kV] ', size='x-small')ax.set_ylabel('rel. Tungsten thickness', size='x-small')plt.title(u'Summed evaporated Tungsten thickness over voltage', size='small')ax.legend(loc=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)"""#-----------page top and end-------------------fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part13 (FG Analysis)'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.05,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p5.png')###plt.close()if (self.cb_png.GetValue()==False): pdf.close() #######################################################################################################################part14 if self.cb14.GetValue() or self.cb0.GetValue(): fig = plt.figure(figsize=(14,10)) Dosisausbeute = []Kupfer = []Spannung = []#Stromstaerke = []for i in range(len(SID)+1):if self.myXEvent.focus[i] == ord('S'):# if self.myXEvent.scenelength[i] > 2:if self.myXEvent.frequency[i] != 0.1:if self.myXEvent.time[i] > 5:Dosisausbeute.append(self.myXEvent.dose_per_mAs[i])Kupfer.append(self.myXEvent.filt[i])Spannung.append(self.myXEvent.voltage[i])#Stromstaerke.append(self.myXEvent.current[i]) ax = Axes3D(fig)f = ax.scatter(Kupfer, Spannung, Dosisausbeute) ax.set_zlabel('Dosisausbeute /[$\mu$Gy/mAs]', size='x-small') ax.set_xlabel('Cu-Filter ', size='x-small') ax.set_ylabel('Voltage /[kV] ', size='x-small') ax.grid(True)plt.title('F1')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part14'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_14.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close() #######################################################################################################################part15if self.cb15.GetValue() or self.cb0.GetValue(): #Part25 in Matlabfig = plt.figure(figsize=(14, 19)) Spannung_A_L = []Spannung_A_S = []Spannung_A_M = []Spannung_F_L = []Spannung_F_M = []Spannung_F_S = []Current_A_L = []Current_A_M = []Current_A_S = []Current_F_L = []Current_F_M = []Current_F_S = []for i in range(len(SID)+1):if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.focus[i] == ord('L'):Spannung_A_L.append(self.myXEvent.voltage[i])Current_A_L.append(self.myXEvent.current[i])if self.myXEvent.focus[i] == ord('S'):Spannung_A_S.append(self.myXEvent.voltage[i])Current_A_S.append(self.myXEvent.current[i])if self.myXEvent.focus[i] == ord('M'):Spannung_A_M.append(self.myXEvent.voltage[i])Current_A_M.append(self.myXEvent.current[i])if self.myXEvent.mode[i] == ord('F'):if self.myXEvent.focus[i] == ord('L'):Spannung_F_L.append(self.myXEvent.voltage[i])Current_F_L.append(self.myXEvent.current[i])if self.myXEvent.focus[i] == ord('S'):Spannung_F_S.append(self.myXEvent.voltage[i])Current_F_S.append(self.myXEvent.current[i])if self.myXEvent.focus[i] == ord('M'):Spannung_F_M.append(self.myXEvent.voltage[i]) Current_F_M.append(self.myXEvent.current[i]) ax = fig.add_subplot(3,1,1)ax.plot(Spannung_A_S, Current_A_S, marker='.', linestyle='.', color='r')ax.plot(Spannung_F_S, Current_F_S, marker='.', linestyle='.', color='b')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Small Focus')pylab.legend(('Acquisition', 'Fluoro')) ax.set_xlim([40,130])ax.grid(True) ax = fig.add_subplot(3,1,2)ax.plot(Spannung_A_L, Current_A_L, marker='.', linestyle='.', color='r')ax.plot(Spannung_F_L, Current_F_L, marker='.', linestyle='.', color='b')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Large Focus')pylab.legend(('Acquisition', 'Fluoro')) ax.set_xlim([40,130]) ax.grid(True) ax = fig.add_subplot(3,1,3)ax.plot(Spannung_A_M, Current_A_M, marker='.', linestyle='.', color='r')ax.plot(Spannung_F_M, Current_F_M, marker='.', linestyle='.', color='b')ax.set_ylabel('Current /[mA]', size='x-small')ax.set_xlabel('Voltage /[kV]', size='x-small')plt.title('Micro Focus')pylab.legend(('Acquisition', 'Fluoro')) ax.set_xlim([40,130])ax.grid(True) fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part15'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_15.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile)plt.close()######################################################################################################################part16if self.cb16.GetValue() or self.cb0.GetValue(): #Part24 in Matlabfig = plt.figure(figsize=(14, 19)) xxtime = [dateutil.parser.parse(s) for s in TIME] L_time = [dateutil.parser.parse(s) for s in Lernparameter_datum] s = pylab.date2num(xxtime) LL_time = pylab.date2num(L_time)min_angle = 3water_vertical = []s_vertical = []for i in range(len(SID)-1):if numpy.abs(self.myXEvent.cran[i])<min_angle:if numpy.abs(self.myXEvent.rao[i])<min_angle:water_vertical.append(self.myXEvent.was[i])s_vertical.append(s[i])event_summe = [] #jedem event wird eine 1 zugeordnet; summiere anschließend aufevent_summe.append(1) for i in range(1, len(SID)):event_summe.append(event_summe[i-1]+1)ax = fig.add_subplot(4,1,1)ax.plot_date(s_vertical, water_vertical, marker='.', linestyle='.')ax.set_ylabel('Watervalue /[mm]', size='x-small')fig.autofmt_xdate()#BE calculations#---------------#Inits BE Berechnungsum_BE_green=[]sum_BE_yellow=[]sum_BE_red=[]old_sum_BE_green=0;old_sum_BE_yellow=0; #ca. 1600Wold_sum_BE_red=0; #ca. 3200Wif self.myXEvent.tubetype==0: #CatHU_yellow=50.HU_red=75.elif self.myXEvent.tubetype==1: HU_yellow=44. HU_red=74. elif self.myXEvent.tubetype==2: HU_yellow=45. HU_red=75. BE_A_green=2. #BE je Acq im grünen BereichBE_F_green=30. #BE je Fluoro im grünen BereichBE_A_yellow=2. #BE je Acq im gelben BereichBE_F_yellow=30. #BE je Fluoro im gelben BereichBE_A_red=2. #BE je Acq im roten BereichBE_F_red=30. #BE je Fluoro im roten Bereich#HU specific BE calulation k_green=0k_yellow=0k_red=0;for i in range(self.events):if(self.myXEvent.mode[i]==ord('A')): if (self.myXEvent.HU[i]<HU_yellow): k_green=1/BE_A_greenk_yellow=0k_red=0elif (self.myXEvent.HU[i]>HU_yellow and self.myXEvent.HU[i]<HU_red):k_green=0k_yellow=1/BE_A_yellowk_red=0;else: #HU>=HU_red)k_green=0k_yellow=0k_red=1/BE_A_red else: #Mode==Fluoro if (self.myXEvent.HU[i]<HU_yellow): k_green=1/BE_F_greenk_yellow=0k_red=0elif (self.myXEvent.HU[i]>HU_yellow and self.myXEvent.HU[i]<HU_red):k_green=0k_yellow=1/BE_F_yellowk_red=0;else: #HU>=HU_red)k_green=0k_yellow=0k_red=1/BE_F_red dt=self.myXEvent.scenelength[i]/1000.sum_BE_green.append(old_sum_BE_green+k_green*dt)sum_BE_yellow.append(old_sum_BE_yellow+k_yellow*dt)sum_BE_red.append(old_sum_BE_red+k_red*dt)old_sum_BE_green=sum_BE_green[i]old_sum_BE_yellow=sum_BE_yellow[i]old_sum_BE_red=sum_BE_red[i]ax = fig.add_subplot(4,1,2)ax.plot_date(s, np.array(sum_BE_green)+np.array(sum_BE_yellow)+np.array(sum_BE_red) , marker='', linestyle='--',color='black',label="BE_sum")ax.plot_date(s, np.array(sum_BE_green) , marker='', linestyle='-',color='g',label="BE_green")ax.plot_date(s, np.array(sum_BE_yellow) , marker='', linestyle='-',color='y',label="BE_yellow")ax.plot_date(s, np.array(sum_BE_red) , marker='', linestyle='-',color='r',label="BE_red")ax.set_ylabel('BE ', size='x-small')ax.legend(loc=2)fig.autofmt_xdate()leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax = fig.add_subplot(4,1,3)ax.plot_date(s, event_summe, marker='', linestyle='-')ax.set_ylabel('X-Rays ', size='x-small')fig.autofmt_xdate()#Heat-CurrentL_time = [dateutil.parser.parse(s) for s in Lernparameter_datum] LL_time = pylab.date2num(L_time)currL = []currS = []currM = []for i in range(len(L1)):currL.append( (300*int(L1[i])+int(L2[i])+int(L3[i]))/10. )currS.append( (300*int(S1[i])+int(S2[i])+int(S3[i]))/10. )if self.myXEvent.numFoken==3:currM.append( (300*int(M1[i])+int(M2[i])+int(M3[i]))/10. )ax = fig.add_subplot(4,1,4)ax.plot_date(LL_time, currL, marker='.', linestyle='-', color='b')ax.plot_date(LL_time, currS, marker='.', linestyle='-', color='g')if self.myXEvent.numFoken==3:ax.plot_date(LL_time, currM, marker='.', linestyle='-', color='r')ax.set_ylabel('Heat current /[mA]', size='x-small')fig.autofmt_xdate()if self.myXEvent.numFoken==3:pylab.legend(('L', 'S', 'M'))else:pylab.legend(('L', 'S'))fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part16'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_16.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close() #######################################################################################################part17if self.cb17.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14,19)) #Heat-Unit - timeax = fig.add_subplot(2,1,1)dates = [dateutil.parser.parse(s) for s in TIME] _44 = [] #es soll eine Linie bei 74% und eine bei 44% eingezogen werden_74 = []for i in range(len(dates)):_74.append(74)_44.append(44)ax.plot_date(pylab.date2num(dates), heatunit, marker='', linestyle='-') ax.plot_date(pylab.date2num(dates), _74, marker='_', linestyle='-', color='r')ax.plot_date(pylab.date2num(dates), _44, marker='_', linestyle='-', color='y')ax.set_ylabel('Heat-Unit /[%]', size='x-small') ax.set_xlabel('Datum', size='x-small') ax.set_ylim((0,100)) ax.grid(True)fig.autofmt_xdate()plt.title('Heat-Unit - time')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part17'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_17.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile)plt.close()#############################################################################################part18 Arcing Analysisif self.cb18.GetValue() or self.cb0.GetValue():self.do_part18()################################################################################################################## #part19if self.cb19.GetValue() or self.cb0.GetValue():fig = plt.figure(figsize=(14, 19)) haufigkeit = []bezeichnung = []d = {}for i in set(self.myXEvent.OGP):d[i] = self.myXEvent.OGP.count(i)a = sorted(d.items(), key=itemgetter(1))for i in range(len(a)):bezeichnung.append(a[i][0])s = a[i][1]for j in range(s):haufigkeit.append(i+1)c = []for i in range(len(bezeichnung)):c.append(i+1)ax = fig.add_subplot(1,1,1)ax.hist(haufigkeit, 100) #ax.set_xlabel('', size='x-small')ax.set_ylabel('Occurance /#', size='x-small')ax.grid(True) plt.title('Radiation events') plt.xticks(c, bezeichnung, rotation=90) fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part19'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(total_events))+' ('+str(len(SID))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_19.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()####################################################################################################################### #part20if self.cb20.GetValue() or self.cb0.GetValue(): fig = plt.figure(figsize=(14,19)) ax = fig.add_subplot(2,1,1)xi = numpy.linspace(min(rao), max(rao), 100)yi = numpy.linspace(min(cran), max(cran), 100) zi = griddata(cran, rao, skindose, xi, yi)plt.contour(xi, yi, zi, 15, cmap=plt.cm.jet)cbar = plt.colorbar()cbar.set_label('Skindose /[$\mu$Gy]')ax.set_xlabel('Cran /[$\,^{\circ}$]', size='x-small') ax.set_ylabel('Rao /[$\,^{\circ}$]', size='x-small') ax.grid(True)ax = fig.add_subplot(2,1,2)ax.plot(rao, cran, '.')ax.set_xlabel('Cran /[$\,^{\circ}$]', size='x-small') ax.set_ylabel('Rao /[$\,^{\circ}$]', size='x-small') ax.grid(True)plt.title('Cran vs Rao-angle') fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part20'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(total_events))+' ('+str(len(SID))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_20.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()######################################################################################################################part21if self.cb21.GetValue() or self.cb0.GetValue(): #Soll-Szenenlaenge; nur für Acq-eventsfig = plt.figure(figsize=(14,14)) #Soll-Szenenlaenge vs. Szenenlaengeax = fig.add_subplot(1,1,1)ax.plot(self.myXEvent.soll_Szenenlaenge , self.myXEvent.ist_Szenenlaenge, '.') ax.set_xlabel('Soll-Szenenlaenge /[s]', size='x-small')ax.set_ylabel('Szenenlaenge /[s]', size='x-small')ax.grid(True)plt.title('Soll-Szenenlaenge vs. Szenenlaenge')fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part21'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(total_events))+' ('+str(len(SID))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_21.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()######################################################################################################################part22if self.cb22.GetValue() or self.cb0.GetValue(): #Soll-FD.Dosis; nur für Acq-eventsfig = plt.figure(figsize=(14,14)) aaa = []bbb = []for i in range(len(self.myXEvent.soll_fd_dosis)):aaa.append(self.myXEvent.soll_fd_dosis[i]/1000.)bbb.append(systemdose[i]/1000.)ax = fig.add_subplot(1,1,1)ax.plot(aaa , bbb, '.') ax.set_xlabel('Soll-FD-Dosis /[$\mu$Gy]', size='x-small')ax.set_ylabel('Ist-FD-Dosis /[$\mu$Gy]', size='x-small')ax.grid(True) plt.title('Soll-FD-Dosis vs. Ist-FD-Dosis') fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part22'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(total_events))+' ('+str(len(SID))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_22.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close()#######################################################################################################################part23if (self.cb23.GetValue() or self.cb0.GetValue()) and self.events>1: print "Creating Cons report"num_studies=patient_number[-1]num_events=len(SID)fig = plt.figure(figsize=(14,19))name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+str(self.plane)+'_Cons.pdf')pdf = PdfPages(name)font = FontProperties()font = font.copy()font.set_family('monospace')fig.text(0.5, 0.95,'Analysis of system XA'+str(self.myXEvent.SN), horizontalalignment='center', verticalalignment='center')#fig.text(0.49, 0.94,'Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)', horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.98,'Radiation events on plane '+str(self.plane)+':'+' '+str(len(TIME))+' ('+str(len(total_events))+' total)'+'\n System SW:'+self.myXEvent.SW[-1][0]+' - Tube Type:'+self.myXEvent.tubetype_str+' - FD Type:'+self.myXEvent.FDtype+' - System Type: '+self.myXEvent.SystemType, horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.96,'Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')#fig.text(0.5, 0.93,str(Startzeit[0])+' - '+str(Startzeit[-1]), horizontalalignment='center', verticalalignment='center')#skindose/study histogramaaa=[x/1000. for x in self.myXEvent.pat_skindose]ax = fig.add_subplot(4,3,1)if len(aaa)>0:ax.hist(aaa+[-1], range =(0, max(aaa)), bins=20) ax.set_xlabel('Skindose/study [mGy]', size='x-small')ax.set_ylabel('Occurance', size='x-small')ax.set_xlim(0, max(aaa)) ax.grid(True) plt.xticks(rotation=10, size='x-small') plt.title('Skindose/study', size='small')#Skindose/study Tortendiagramm skindose_3D = []_3D = []DAP_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'no3d':skindose_3D.append(self.myXEvent.skindose[i])DAP_3D.append(self.myXEvent.DAP[i])_3D.append(self.myXEvent.skindose[i])fracs = []if sum(skindose)>0:fracs.append(sum(skindose_F)/sum(skindose))fracs.append((sum(skindose_A)-sum(skindose_3D))/sum(skindose))fracs.append(sum(skindose_3D)/sum(skindose))ax = fig.add_subplot(4,3,2)labels = 'Fluoro', 'Acquisition', '3D'ax.pie(fracs, labels=labels, colors=('r', 'g', 'y'), autopct='%1.0f%%', shadow=False)plt.title('Skindose/study', size='small')#skindose/studys_F = sum(skindose_F)s_F_study = s_F/num_studies #Division durch die Anzahl der untersuchtern Patientens_A = sum(skindose_A)s_A_study = s_A/num_studiess_3D = sum(_3D)s_3D_study = s_3D/num_studies #total = sum(skindose)/num_studiestotal = (s_F + s_A)/num_studiesVektor = []for i in range(len(Datum_array)-1): #die Anzahl der Tage wird ermittelt; zunaechst anhand der "Tageswechsel"if Datum_array[i] != Datum_array[i+1]:Vektor.append(1) Vektor.append(1) #Tage = Tageswechsel + 1 tage = len(Vektor)ax = fig.add_subplot(4,3,3) ax.axis('off')ax.text(0.15, 0.90, u"FL [mGy]: {0}".format(round(0.001*s_F_study, 2)), fontproperties=font) #von mykro auf milli-Gy umgerechnetax.text(0.15, 0.85, u"Percentage [%]: {0}".format(round(100*(s_F_study/total))), fontproperties=font) #in Prozent umgerechnetax.text(0.15, 0.75, u"ACQ [mGy]: {0}".format(round(0.001*(s_A_study-s_3D_study), 2)), fontproperties=font)ax.text(0.15, 0.70, u"Percentage [%]: {0}".format(round(100*((s_A_study-s_3D_study)/total), 2)), fontproperties=font)ax.text(0.15, 0.60, u"3D [mGy]: {0}".format(round(0.001*s_3D_study, 2)), fontproperties=font)ax.text(0.15, 0.55, u"Percentage [%]: {0}".format(round(100*(s_3D_study/total), 2)), fontproperties=font)ax.text(0.15, 0.50, u"----------------------------------------", fontproperties=font) ax.text(0.15, 0.40, u"Total skindose/study [mGy]: {0}".format(round(0.001*total, 2)), fontproperties=font)#ax.text(0.15, 0.35, u"Average skindose/day [mGy]: {0}".format(round(0.001*sum(skindose)/tage, 2)), fontproperties=font)ax.text(0.15, 0.30, U"Avg. skind./Fluoro [mGy] : {0}".format(round(0.01*s_F_study/len(zoom_F) * num_studies / 10, 2)), fontproperties=font)ax.text(0.15, 0.25, U"Avg. skind./Acq [mGy] : {0}".format(round(0.01*s_A_study/len(zoom_A) * num_studies / 10, 2)), fontproperties=font)ax.text(0.15, 0.15, U"Avg. skind./sec Fluoro [mGy/s]: {0}".format(round(0.01*s_F/ sum(scenelength_F) / 10, 2)), fontproperties=font)ax.text(0.15, 0.10, U"Avg. skind./sec Acq [mGy/s]: {0}".format(round(0.01*s_A/ sum(scenelength_A) / 10, 2)), fontproperties=font)plt.title('Skindose/study', size='small')#DAP/study histogramaaa=[x/100. for x in self.myXEvent.pat_dap]ax = fig.add_subplot(4,3,4)if len(aaa)>0:ax.hist(aaa+[-1], range =(0, max(aaa)), bins=20) ax.set_xlabel('DAP/study [$\mu$Gym^2]', size='x-small')ax.set_ylabel('Occurance', size='x-small')ax.set_xlim(0, max(aaa)) ax.grid(True) plt.xticks(rotation=10, size='x-small') plt.title('DAP/study', size='small')#DAP/study Tortendiagrammfracs = []if sum(DAP)>0:fracs.append(sum(DAP_F)/sum(DAP))fracs.append((sum(DAP_A)-sum(DAP_3D))/sum(DAP)) fracs.append(sum(DAP_3D)/sum(DAP)) ax = fig.add_subplot(4,3,5)labels = 'Fluoro', 'Acquisition', '3D'ax.pie(fracs, labels=labels, colors=('r', 'g', 'y'), autopct='%1.0f%%', shadow=False)plt.title('DAP/study', size='small')#DAP/studys_F = sum(DAP_F)s_F_study = s_F/num_studies #Division durch die Anzahl der untersuchten Patientens_A = sum(DAP_A)s_A_study = s_A/num_studies_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'no3d':_3D.append(self.myXEvent.DAP[i])s_3D = sum(_3D)s_3D_study = s_3D/num_studies #total = sum(DAP)/num_studiestotal = (s_F + s_A)/num_studiesax = fig.add_subplot(4,3,6) ax.axis('off')ax.text(0.15, 0.90, u"FL [µGym²]: {0}".format(round(0.01*s_F_study, 2)), fontproperties=font) #0.01 stammt als Faktor aus der .csv-Datei ax.text(0.15, 0.85, u"Percentage [%]: {0}".format(round(100*s_F_study/total)), fontproperties=font) ax.text(0.15, 0.75, u"ACQ [µGym²]: {0}".format(round(0.01*(s_A_study-s_3D_study), 2)), fontproperties=font)ax.text(0.15, 0.70, u"Percentage [%]: {0}".format(round(100*(s_A_study-s_3D_study)/total, 2)), fontproperties=font)ax.text(0.15, 0.60, u"3D [µGym²]: {0}".format(round(0.01*s_3D_study), 2), fontproperties=font)ax.text(0.15, 0.55, U"Percentage [%]: {0}".format(round(100*s_3D_study/total, 2)), fontproperties=font)ax.text(0.15, 0.50, u"------------------------------------", fontproperties=font) ax.text(0.15, 0.40, u"Total DAP/study [µGym²]: {0}".format(round(0.01*total, 2)), fontproperties=font)#ax.text(0.15, 0.35, u"Average DAP/day [µGym²]: {0}".format(round(0.01*(sum(DAP)/tage), 2)), fontproperties=font)ax.text(0.15, 0.30, u"Avg. DAP/Fluoro [µGy m²] : {0}".format(round(0.01*s_F/len(zoom_F), 2)), fontproperties=font)ax.text(0.15, 0.25, u"Avg. DAP/Acq [µGy m²] : {0}".format(round(0.01*s_A/len(zoom_A), 2)), fontproperties=font)ax.text(0.15, 0.15, u"Avg. DAP/sec Fluoro [µGy m²/s]: {0}".format(round(0.01*s_F/ sum(scenelength_F), 2)), fontproperties=font)ax.text(0.15, 0.10, u"Avg. DAP/sec Acq [µGy m²/s]: {0}".format(round(0.01*s_A/ sum(scenelength_A), 2)), fontproperties=font)num_F_A=((self.myXEvent.mode[0:self.events]==ord('A'))*self.myXEvent.frames[0:self.events]).sum()ax.text(0.15, 0.05, u"Avg. DAP/frame Acq [µGy m²/f]: {0}".format(round(0.01*s_A/num_F_A, 2)), fontproperties=font)plt.title('DAP/study', size='small')#10R/min FL Limit - 34cm in front of FD _10R = []for i in range(1, len(SID)):if self.myXEvent._10Rlimit[i] != 0:_10R.append(self.myXEvent._10Rlimit[i])if sum(skindose)>0: ax = fig.add_subplot(4,3,7)try:ax.hist(_10R, 25) ax.set_xlabel('Skindose [R/min]', size='x-small')ax.set_ylabel('Fluoro events', size='x-small')ax.grid(True) plt.xticks(rotation=10, size='x-small') plt.title('10R/min FL limit - 34cm in front of FD', size='small')except:True#Events & time vs. focus#events vs focusf_s = []f_l = []f_m = [] a_s = []a_l = []a_m = [] #time vs focusf_s_S = []f_l_S = []f_m_S = [] a_s_S = []a_l_S = []a_m_S = [] for i in range(len(SID)): #es wird nach focus und Fluoro/Acquisition aussortiertif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.focus[i] == ord('S'):f_s.append(1)elif self.myXEvent.focus[i] == ord('L'):f_l.append(1)else:f_m.append(1)if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.focus[i] == ord('S'):a_s.append(1)elif self.myXEvent.focus[i] == ord('L'):a_l.append(1)else:a_m.append(1) total = sum(f_s)+sum(f_l)+sum(f_m)+sum(a_s)+sum(a_l)+sum(a_m) for i in range(self.myXEvent.range): #es wird nach focus und Fluoro/Acquisition aussortiertif self.myXEvent.mode[i] == ord('F'):if self.myXEvent.focus[i] == ord('S'):f_s_S.append(self.myXEvent.scenelength[i])elif self.myXEvent.focus[i] == ord('L'):f_l_S.append(self.myXEvent.scenelength[i])else:f_m_S.append(self.myXEvent.scenelength[i])if self.myXEvent.mode[i] == ord('A'):if self.myXEvent.focus[i] == ord('S'):a_s_S.append(self.myXEvent.scenelength[i])elif self.myXEvent.focus[i] == ord('L'):a_l_S.append(self.myXEvent.scenelength[i])else:a_m_S.append(self.myXEvent.scenelength[i]) #Summary Text1_3D = []for i in range(len(SID)):if self.myXEvent._3Dmode[i] != 'no3d':_3D.append(1)ax = fig.add_subplot(4,3,8) ax.axis('off')ax.text(0.1, 0.90, u"Number of studies : {0}".format(int(num_studies)), fontproperties=font)ax.text(0.1, 0.85, u"Days system was used : {0}".format(tage), fontproperties=font)ax.text(0.1, 0.80, u"Number of studies/day : {0}".format(round(num_studies/float(tage),2)),fontproperties=font)ax.text(0.1, 0.65, u"Avg. skind./sec Fluoro [mGy/s]: {0}".format(round(0.01*sum(skindose_F)/ sum(scenelength_F) / 10, 2)), fontproperties=font)ax.text(0.1, 0.60, u"Avg. skind./sec Acq [mGy/s]: {0}".format(round(0.01*sum(skindose_A)/ sum(scenelength_A) / 10, 2)), fontproperties=font)ax.text(0.1, 0.55, u"Avg. DAP/sec Fluoro [µGy m²/s]: {0}".format(round(0.01*sum(DAP_F)/ sum(scenelength_F), 2)), fontproperties=font)ax.text(0.1, 0.50, u"Avg. DAP/sec Acq [µGy m²/s]: {0}".format(round(0.01*sum(DAP_A)/ sum(scenelength_A), 2)), fontproperties=font)ax.text(0.1, 0.45, u"Watervalue mean : {0}".format(round(numpy.mean(watervalue),1)), fontproperties=font)ax.text(0.1, 0.40, u"Watervalue SD : {0}".format(round(numpy.std(watervalue),1)), fontproperties=font)ax.text(0.1, 0.30, u"Fluoro mean kV : {0}".format(round(numpy.mean(voltage_F),1)), fontproperties=font)ax.text(0.1, 0.25, u"Fluoro SD of kV : {0}".format(round(numpy.std(voltage_F),1)), fontproperties=font)ax.text(0.1, 0.15, u"Acquisition mean kV : {0}".format(round(numpy.mean(voltage_A),1)), fontproperties=font)ax.text(0.1, 0.10, u"Acquisition SD of kV : {0}".format(round(numpy.std(voltage_A),1)), fontproperties=font)ax.text(0.1, 0.00, u"Prev Pos = Rev Pos : {0}%".format(round(100.*np.mean(preview_review),1)), fontproperties=font)ax.text(0.1,-0.05, u"mean delta kV (Prev - Rev) : {0}".format(round((np.array(self.myXEvent.soll_kV)-self.myXEvent.voltage[0:self.events]).mean(),1)), fontproperties=font)plt.title('Summary 1', size='small') # Summary Text 2ax = fig.add_subplot(4,3,9) ax.axis('off')ax.text(0.15, 0.90, "Mean FL time [s]: {0}".format(round(mean(scenelength_F), 1)), fontproperties=font)ax.text(0.15, 0.85, "Mean FL time/study[min]: {0}".format(round(sum(scenelength_F)/num_studies/60., 1)), fontproperties=font)ax.text(0.15, 0.80, "Fl events/study : {0}".format(round(len(zoom_F)/num_studies, 1)), fontproperties=font)ax.text(0.15, 0.70, "Mean ACQ time [s]: {0}".format(round(mean(scenelength_A), 1)), fontproperties=font)ax.text(0.15, 0.65, "ACQ events/study : {0}".format(round(len(scenelength_A)/num_studies, 1)), fontproperties=font)ax.text(0.15, 0.55, "Mean 3D events/study : {0}".format(round(len(_3D)/num_studies, 1)), fontproperties=font)ax.text(0.15, 0.45, "Fl events : {0}".format(len(zoom_F)), fontproperties=font)ax.text(0.15, 0.40, "Total ACQ events : {0}".format(len(zoom_A)), fontproperties=font)ax.text(0.15, 0.35, "- ACQ : {0}".format(len(DAP_A)-len(alternative_acquisition)-len(_3D)), fontproperties=font)ax.text(0.15, 0.30, "- ALT-ACQ : {0}".format(len(alternative_acquisition)), fontproperties=font)ax.text(0.15, 0.25, "3D events : {0}".format(len(_3D)), fontproperties=font)ax.text(0.15, 0.15, u"Micro Focus FL, ACQ(%): {0}".format([round(int(100*(sum(f_m)/total)),2), round(int(100*(sum(a_m)/total)),2)]), fontproperties=font) ax.text(0.15, 0.10, u"Small Focus FL, ACQ(%): {0}".format([round(int(100*(sum(f_s)/total)),2), round(int(100*(sum(a_s)/total)),2)]), fontproperties=font)ax.text(0.15, 0.05, u"Large Focus FL, ACQ(%): {0}".format([round(int(100*(sum(f_l)/total)),2), round(int(100*(sum(a_l)/total)),2)]), fontproperties=font)ax.text(0.15, 0.00, u"BE/day : %2.1f"%(self.myXEvent.BE_total.sum()/day_total), fontproperties=font)ax.text(0.15,-0.05, u"Line resistance : %s"%(self.line_resistance), fontproperties=font)ax.text(0.15,-0.10, u"Line voltage : %s"%(self.line_voltage), fontproperties=font)#ax.text(0.15, -0.05, u"Line resistance : "+self.line_resistance)#ax.text(0.15, -0.10, u"Line voltage : "+self.line_voltage)plt.title('Summary 2', size='small')#SID histogram ax = fig.add_subplot(4,3,10)if len(SID)>0:ax.hist(SID, 15) ax.set_xlabel('SID [cm]',size='x-small' )ax.set_ylabel('Occurance',size='x-small' )ax.grid(True)plt.title("SID; [mean, SD]={0}".format( [ round(numpy.mean(SID)), round(numpy.std(SID)) ]), size='small' )#Watervalue histogram ax = fig.add_subplot(4,3,11)if len(watervalue)>0:ax.hist(watervalue, 25) #ax.set_xlim(1, 500)ax.set_xlabel('Watervalue [mm]',size='x-small' )ax.set_ylabel('Occurance', size='x-small' )ax.grid(True)plt.xticks(rotation=10, size='x-small')plt.title("Watervalue [mean, SD]={0}".format( [ round(numpy.mean(watervalue)), round(numpy.std(watervalue)) ]), size='small')#Zoom histogram try:ax = fig.add_subplot(4,6,23)ax.hist(zoom_F, 12, range =(0, 5)) ax.set_xlabel('Zoom',size='x-small' )ax.set_ylabel('Occurance',size='x-small' )ax.grid(True)ax.set_xlim(0,5)plt.title('Zoom (Fluoro)')except:Truetry:ax = fig.add_subplot(4,6,24)ax.hist(zoom_A, 12, range =(0, 5)) ax.set_xlabel('Zoom',size='x-small' )ax.set_ylabel('Occurance',size='x-small' )ax.grid(True)ax.set_xlim(0,5)plt.title('Zoom (Acquisition)')except:Truefig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del fig#
# # page 2fig = plt.figure(figsize=(14,19))#Voltage histogramax = fig.add_subplot(6, 2, 1)if len (voltage_F)>0:ax.hist(voltage_F, 50, range = (50, 130)) ax.set_xlabel('Voltage (Fluoro) [kV]', size='x-small') ax.set_ylabel('Occurance #', size='x-small') ax.grid(True)#plt.title('Fluoro')plt.title("Fluoro [mean kV, SD kV]={0}".format( [ round(numpy.mean(voltage_F)), round(numpy.std(voltage_F)) ]))ax = fig.add_subplot(6, 2, 2)if len (voltage_A)>0:ax.hist(voltage_A, 50, range = (50, 130)) ax.set_xlabel('Voltage (Acq) [kV]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')ax.grid(True)#plt.title('Acquisition')plt.title("Acquisition [mean kV, SD kV]={0}".format( [ round(numpy.mean(voltage_A)), round(numpy.std(voltage_A)) ]))#Current histogramax = fig.add_subplot(6, 2, 3)if len(current_F)>0: ax.hist(current_F, 50, range = (0, 250)) ax.set_xlabel('Current (Fluoro) [mA]',size='x-small')ax.set_ylabel('Occurance /#',size='x-small' )ax.grid(True)#plt.title('Current (Fluoro)')ax = fig.add_subplot(6, 2, 4)if len (current_A)>0:ax.hist(current_A, 50, range = (0, 1000)) ax.set_xlabel('Current (Acq) [mA]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.grid(True)#plt.title('Current (Acquisition)')#Watervalue-voltage Fluoro ax = fig.add_subplot(6,2,5)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('F'))] , '.', color='b', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('F'))] , '.', color='r', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue (fluoro) /[mm]', size='x-small') ax.set_ylabel(r'Voltage /[kV]', size='x-small') ax.set_xlim(0,450)ax.set_ylim(40,125)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)#plt.title('Watervalue - voltage (Fluoro)')#Watervalue-voltage Acqax = fig.add_subplot(6,2,6)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))] , '.', color='b', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))] , '.', color='r', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.voltage[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue (Acq) /[mm]', size='x-small') ax.set_ylabel(r'Voltage /[kV]', size='x-small') ax.set_xlim(0,450)ax.set_ylim(40,125)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)#plt.title(r'Watervalue - voltage (Acquisition)',size='small')#Watervalue-current Fluoroax = fig.add_subplot(6,2,7)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.current[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('F'))] , '.', color='b', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.current[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('F'))] , '.', color='r', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))], self.myXEvent.current[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('F'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue (Fluoro) /[mm]', size='x-small') ax.set_ylabel(r'Current /[mA]', size='x-small') ax.set_xlim(0,450)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)#plt.title('Watervalue - current (Fluoro)')#Watervalue-current Acqax = fig.add_subplot(6,2,8)ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('S'))*(self.myXEvent.mode==ord('A'))] , '.', color='b', label='F1') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('L'))*(self.myXEvent.mode==ord('A'))] , '.', color='r', label='F2') ax.plot(self.myXEvent.was[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))], self.myXEvent.current[(self.myXEvent.focus==ord('M'))*(self.myXEvent.mode==ord('A'))] , '.', color='g', label='FG') ax.set_xlabel(r'Watervalue (Acq) /[mm]', size='x-small') ax.set_ylabel(r'Current /[mA]', size='x-small') ax.set_xlim(0,450)ax.legend(loc=4, numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)#plt.title(r'Watervalue - current (Acquisition)',size='small')#Cu-filter histogramax = fig.add_subplot(6, 2, 9) if len(filter_F)>0: ax.hist(filter_F, 10, range = (0, 10)) ax.set_xlabel('Cu-filter (Fluoro) [1/10 mm]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([0,10]) #plt.title('Cu-filter (Fluoro)')ax = fig.add_subplot(6, 2, 10)if len(filter_A)>0:ax.hist(filter_A, 10, range = (0, 10)) ax.set_xlabel('Cu-filter (Acq) [1/10 mm]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([0,10]) #plt.title('Cu-filter (Acquisition)')xtime_F = numpy.array([])xtime_A = numpy.array([])for i in xrange(len(xtime)):if modus[i] == ord('F'):xtime_F = numpy.append(xtime_F, xtime[i])elif modus[i] == ord('A'):xtime_A = numpy.append(xtime_A, xtime[i])else:pass#print "keine Zuodnung: " + str(modus[i]) + " - " + str(xtime[i])#Pulse-duration histogram ax = fig.add_subplot(6, 2, 11)if len(xtime_F)>0:ax.hist(list(xtime_F)+[-1], 50) ax.set_xlabel('Pulse-duration (fluoro) [ms]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')xlim([0,max(xtime_F)]) ax.grid(True) #plt.title('Pulse-duration')ax = fig.add_subplot(6, 2, 12)if len(xtime_A)>0:ax.hist(list(xtime_A)+[-1], 50) ax.set_xlabel('Pulse-duration (Acq) [ms]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')xlim([0,max(xtime_A)]) ax.grid(True) #plt.title('Pulse-duration')fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del fig# page 3fig = plt.figure(figsize=(14,19))#system dose histogram /maxed outende=self.events#Histogramm used system dosesax = fig.add_subplot(6, 2, 1)try:tempstr='FL - used system dose, range = 0..100 #FL <20nGy: ' +str((self.myXEvent.mode[:ende]==ord('F')*(self.myXEvent.system_dose[:ende]<=20)).sum())ax.hist( (self.myXEvent.mode[:ende]==ord('F')) *self.myXEvent.system_dose[:ende], 50, range = (1, 100),label=tempstr) ax.set_xlabel('System Dose (Fluoro) [nGy]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([1,100]) except:Trueax = fig.add_subplot(6, 2, 2)try:tempstr='ACQ - used system dose, range = max #ACQ <70nGy: ' +str((self.myXEvent.mode[:ende]==ord('A')*(self.myXEvent.system_dose[:ende]<=70)).sum())ax.hist( (self.myXEvent.mode[:ende]==ord('A')) *self.myXEvent.system_dose[:ende], 50, range = (1, self.myXEvent.system_dose.max()),label=tempstr)ax.set_xlabel('System Dose (Acq) [nGy]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=9)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([1, max(3600,self.myXEvent.system_dose.max())]) except:Trueax = fig.add_subplot(6, 2, 3)try:tempstr='FL - used system dose, range = 0..45 #FL <20nGy: ' +str((self.myXEvent.mode[:ende]==ord('F')*(self.myXEvent.system_dose[:ende]<=20)).sum())ax.hist( (self.myXEvent.mode[:ende]==ord('F')) *self.myXEvent.system_dose[:ende], 50, range = (1, 45),label=tempstr) ax.set_xlabel('System Dose (Fluoro) [nGy]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([1, 45]) except:Trueax = fig.add_subplot(6, 2, 4)try:tempstr='ACQ - used system dose, range = 0..300 #ACQ <70nGy: ' +str((self.myXEvent.mode[:ende]==ord('A')*(self.myXEvent.system_dose[:ende]<=70)).sum())ax.hist( (self.myXEvent.mode[:ende]==ord('A')) *self.myXEvent.system_dose[:ende], 50, range = (1, 300),label=tempstr)ax.set_xlabel('System Dose (Acq) [nGy]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=9)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)ax.set_autoscale_on(False)xlim([1, 300]) except:True#Histogramm Gammaax = fig.add_subplot(6, 2, 5)try:temp_gamma_F1=(self.myXEvent.mode[:ende]==ord('F'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('S'))temp_gamma_F1=np.delete(temp_gamma_F1,np.where(temp_gamma_F1==0)) temp_gamma_F2=(self.myXEvent.mode[:ende]==ord('F'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('L'))temp_gamma_F2=np.delete(temp_gamma_F1,np.where(temp_gamma_F2==0))temp_gamma_FG=(self.myXEvent.mode[:ende]==ord('F'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('M'))temp_gamma_FG=np.delete(temp_gamma_FG,np.where(temp_gamma_FG==0)) temp_gamma=np.concatenate((temp_gamma_F1,temp_gamma_F2,temp_gamma_FG)) tempstr='[mean,sd]=%4.2f,%4.2f'%(temp_gamma_F1.mean(),temp_gamma.std())ax.hist( [temp_gamma_F1,temp_gamma_F2,temp_gamma_FG], 50, range = (0.5, 2),stacked='true',label=['SF','LF',u'µF'])ax.set_xlabel('Gamma (Fluoro) '+tempstr,size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)except:Trueax = fig.add_subplot(6, 2, 6)try:temp_gamma_F1=(self.myXEvent.mode[:ende]==ord('A'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('S'))temp_gamma_F1=np.delete(temp_gamma_F1,np.where(temp_gamma_F1==0)) temp_gamma_F2=(self.myXEvent.mode[:ende]==ord('A'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('L'))temp_gamma_F2=np.delete(temp_gamma_F2,np.where(temp_gamma_F2==0))temp_gamma_FG=(self.myXEvent.mode[:ende]==ord('A'))*self.myXEvent.gamma[:ende]*(self.myXEvent.focus[:ende]==ord('M'))temp_gamma_FG=np.delete(temp_gamma_FG,np.where(temp_gamma_FG==0))temp_gamma=np.concatenate((temp_gamma_F1,temp_gamma_F2,temp_gamma_FG)) tempstr='[mean,sd]=%4.1f,%4.1f'%(temp_gamma.mean(),temp_gamma.std())ax.hist( [temp_gamma_F1,temp_gamma_F2,temp_gamma_FG], 50, range = (0.5, 2),stacked='true',label=['SF','LF',u'µF'])ax.set_xlabel('Gamma (Acq) '+tempstr,size='x-small')ax.set_ylabel('Occurance #',size='x-small' )ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.grid(True)except:True#Histogramm Pulse-duration FL and ACQax = fig.add_subplot(6,2,7)fps_bins=[0.5,1.0,1.88,3.0,3.75,5.0,6.0,7.5,10.0,15.0,30.0,60.0,61.0]width=0.2fps_bin_label=[str(a) for a in fps_bins[:-1]]try:data=(self.myXEvent.mode[:ende]==ord('F')) *self.myXEvent.frequency[:ende]data=data[data!=0]haufigkeit,ind=np.histogram(data,bins=fps_bins)x=np.arange(len(ind)-1)ax.bar(x, haufigkeit, width) ax.set_xlabel('Pulse rate (Fluoro) / [fps]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )#ax.set_xlim(-1, (len(ind)))plt.xticks(x+width/2, fps_bin_label)ax.grid(True)#plt.title('FL - fps')except:Trueax = fig.add_subplot(6,2,8)try:data=(self.myXEvent.mode[:ende]==ord('A')) *self.myXEvent.frequency[:ende]data=data[data!=0]haufigkeit,ind=np.histogram(data,bins=fps_bins)x=np.arange(len(ind)-1)ax.bar(x, haufigkeit, width) ax.set_xlabel('Pulse rate (Acq) / [fps]',size='x-small')ax.set_ylabel('Occurance #',size='x-small' )#ax.set_xlim(-1, (len(ind)))plt.xticks(x+width/2, fps_bin_label)ax.grid(True)#plt.title('ACQ - fps')except:True#Pulse Power histogramax = fig.add_subplot(6, 2, 9)if len (pulsepower_F)>0:ax.hist(pulsepower_F+[-1], 50, range = (0, 100)) ax.set_xlabel('Pulse Power (Fluoro) [kW]', size='x-small') ax.set_ylabel('Occurance #', size='x-small') ax.grid(True)#plt.title('Fluoro')#plt.title("Pulse Power Fluoro")ax = fig.add_subplot(6, 2, 10)if len (pulsepower_A)>0:ax.hist(pulsepower_A+[-1], 50, range = (0, 100)) ax.set_xlabel('Pulse Power (Acq) [kW]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')ax.grid(True)#plt.title("Pulse Power Acquisition")#Scene time histogramax = fig.add_subplot(6, 2, 11)if len (scenelength_F)>0:ax.hist(scenelength_F+[-1], 50, range = (0, 100)) ax.set_xlabel('Scene time (Fluoro) [s]', size='x-small') ax.set_ylabel('Occurance #', size='x-small') #ax.set_xlim(set_xlim(right=0)) ax.grid(True)#plt.title('Fluoro')#plt.title("Pulse Power Fluoro")ax = fig.add_subplot(6, 2, 12)if len (scenelength_A)>0:ax.hist(scenelength_A+[-1], 50, range = (0, 40)) ax.set_xlabel('Scene time (Acq) [s]', size='x-small')ax.set_ylabel('Occurance #', size='x-small')ax.grid(True)#plt.title("Pulse Power Acquisition")fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del fig# page 4fig = plt.figure(figsize=(14,19))#Skindose per OGPd = {}d_mode={}haufigkeit = []bezeichnung = []colorslist=[]for i in range(len(SID)):if self.myXEvent.SID[i] != 0:ogpName = self.myXEvent.OGP[i]d_mode[ogpName]=chr(int(self.myXEvent.mode[i]))if d.has_key(ogpName):d[ogpName] += self.myXEvent.skindose[i]# /1000000else:d[ogpName] = self.myXEvent.skindose[i] #/1000000#print delse:print "ignored:" + str(i)a = sorted(d.items(), key=itemgetter(1))#find maximum valuemax_a = 0for i in range(len(a)):if a[i][1] > max_a:max_a = a[i][1]for i in range(len(a)):if a[i][1] > max_a/50:if d_mode[a[i][0]]=='F':colorslist.append('blue')else:colorslist.append('red')bezeichnung.append(a[i][0])haufigkeit.append(a[i][1])ax = fig.add_subplot(2,1,1)ind = np.arange(len(haufigkeit)) # the x locations for the groupswidth = 0.2 # the width of the bars: can also be len(x) sequencetry:ax.bar(ind, np.array(haufigkeit)/1000., width) ax.set_xlabel('', size='small')ax.set_ylabel('Skindose [mGy]', size='small')ax.grid(True) plt.title('Skindose per OGP', size='large') plt.xticks(ind+width/2, bezeichnung, rotation=90)[i.set_color(colorslist[k]) for k,i in enumerate(plt.gca().get_xticklabels())]except:True#Used OGPshaufigkeit = []bezeichnung = []d = {}for i in set(self.myXEvent.OGP):d[i] = self.myXEvent.OGP.count(i)a = sorted(d.items(), key=itemgetter(1))sorted_ogps=sorted(d.items(), key=itemgetter(1),reverse=True)#find maximum value an only use used OGPs that are > 1/200 of the maximummax_a = 0for i in range(len(a)):if a[i][1] > max_a:max_a = a[i][1]i_skipped = 0colorslist=[]for i in range(len(a)):#print iif a[i][1] > max_a / 200:if d_mode[a[i][0]]=='F':colorslist.append('blue')else:colorslist.append('red')bezeichnung.append(a[i][0])s = a[i][1]for j in range(s):haufigkeit.append(i+1 - i_skipped)else:i_skipped += 1c = []for i in range(len(bezeichnung)):c.append(i+1)ax = fig.add_subplot(2,1,2)try:ax.hist(haufigkeit, 60,orientation = 'horizontal') ax.set_xlabel('Occurance', size='small')#ax.set_ylabel('Occurance', size='small')ax.grid(True) plt.title('Used OGPs (min 0.5% usage)', size='large') plt.yticks(c, bezeichnung, rotation=0, size='small') [i.set_color(colorslist[k]) for k,i in enumerate(plt.gca().get_yticklabels())] except:Truefig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10) if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del fig# page 5fig = plt.figure(figsize=(14,19))###################OGP timeline plot##################ogpDict = {}ogpDictItems = []ogpNumber = 1usedOgpNumber = []usedOgpDates = []ogpIgnoreList = []# ['Service', 'Konstanz', 'IQAP']dates = [dateutil.parser.parse(s) for s in TIME]usedOgpNumber.append(0)usedOgpDates.append(dates[0])for i in range(len(SID)):if self.myXEvent.SID[i] != 0:currentOgp = self.myXEvent.OGP[i]ignoreFlag = 0#check empty entriesif currentOgp == "":ignoreFlag = 1print "Empty OGP name"#check ignore listfor j in ogpIgnoreList:if j in currentOgp:ignoreFlag = 1#count if not ignoredif ignoreFlag == 0:if ogpDict.has_key(currentOgp):passelse:ogpDict[currentOgp] = ogpNumberogpNumber += 1usedOgpNumber.append(ogpDict[currentOgp])usedOgpDates.append(dates[i])usedOgpNumber.append(ogpNumber) # add one additional at the right top corner to make output look nicerusedOgpDates.append(dates[-1])# calculate the y-axis labelsfor i in xrange (len(ogpDict)+1):for key,value in ogpDict.items():if value == i:ogpDictItems.append (key)# do the plotax = fig.add_subplot(1, 1, 1)ax.plot(xrange(0, len(usedOgpNumber)) ,usedOgpNumber, '.')ax.set_xlabel('Event nr.', size='small')fig.autofmt_xdate() ax.set_ylabel('OGP', size='small')ax.grid(False)plt.title('OGP timeline plot', size='large')# create additional y-axis description (OGP names)y_pos = 1for myString in ogpDictItems:y_value = y_pos + 0.1ax.text (0.0, y_value, (myString), fontproperties=font)y_pos +=1fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del fig# page 6fig = plt.figure(figsize=(14,19))# do the plotax = fig.add_subplot(1, 1, 1)if len(usedOgpDates) == len(usedOgpNumber):ax.plot_date(pylab.date2num(usedOgpDates), usedOgpNumber, linestyle='.', xdate=True)#ax.set_axis_off()# Set major x ticks on Mondays.#ax.xaxis.set_major_locator(matplotlib.dates.WeekdayLocator(byweekday=matplotlib.dates.MO))ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%b.%Y\n%H:%M'))else:ax.plot(xrange(0, len(usedOgpNumber)) ,usedOgpNumber, '.')print len(usedOgpDates)print len(usedOgpNumber)ax.set_xlabel('Event', size='small')fig.autofmt_xdate() ax.set_ylabel('OGP', size='small')ax.grid(True)plt.title('OGP timeline plot', size='large')# create additional y-axis description (OGP names)y_pos = 1for myString in ogpDictItems:y_value = y_pos + 0.1ax.text (pylab.date2num(usedOgpDates[0]), y_value, (myString), fontproperties=font)y_pos +=1fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)pdf.savefig(fig)close()#save top 3 examsetsif self.cb_examsets.GetValue()==False or self.success_examsets==False:pdf.close()else:ACQ_top3=[]FL_top3=[]RM_top3=[]ALT_top3=[]for ogp in sorted_ogps:if ogp[0] in self.ACQ_set.keys() and len(ACQ_top3)<3:ACQ_top3.append(ogp[0])if ogp[0] in self.FL_set.keys() and len(FL_top3)<3:FL_top3.append(ogp[0])if ogp[0] in self.RM_set.keys() and len(RM_top3)<3:RM_top3.append(ogp[0])if ogp[0] in self.ALT_set.keys() and len(ALT_top3)<3:ALT_top3.append(ogp[0])try:exam_str='ACQUISITION\n#########################################\n'for ogp in ACQ_top3:exam_str+=ogp+' (%2.2f'%(100.*self.myXEvent.OGP.count(ogp)/float(self.events))+'%)\n-----\n'for param in self.acq_params:#print str(param.replace(u'\u00b5','M'))+';'+(ACQ_set[ogp][param]).replace(u'\u00b5','M')exam_str+=str(param.replace(u'\u00b5','M'))+';'+(self.ACQ_set[ogp][param]).replace(u'\u00b5','M')+'\n'exam_str+='\n-----------------------------------------\n\n'except:print 'Problem ACQ!'try:exam_str+='FLUORO\n#########################################\n' for ogp in FL_top3:exam_str+=ogp+' (%2.2f'%(100.*self.myXEvent.OGP.count(ogp)/float(self.events))+'%)\n-----\n'for param in self.fl_params:exam_str+=str(param.replace(u'\u00b5','M'))+';'+(self.FL_set[ogp][param]).replace(u'\u00b5','M')+'\n'exam_str+='\n-----------------------------------------\n\n'except:print 'Problem FL!'Truetry: exam_str+='ROADMAP\n#########################################\n' for ogp in RM_top3:exam_str+=ogp+' (%2.2f'%(100.*self.myXEvent.OGP.count(ogp)/float(self.events))+'%)\n-----\n'for param in self.rm_params:exam_str+=str(param.replace(u'\u00b5','M'))+';'+(self.RM_set[ogp][param]).replace(u'\u00b5','M')+'\n'exam_str+='\n-----------------------------------------\n\n'except:print 'Problem RM!'Truetry: exam_str+='AltAcq\n#########################################\n' for ogp in ALT_top3:exam_str+=ogp+' (%2.2f'%(100.*self.myXEvent.OGP.count(ogp)/float(self.events))+'%)\n-----\n'for param in self.alt_params:exam_str+=str(param.replace(u'\u00b5','M'))+';'+(self.ALT_set[ogp][param]).replace(u'\u00b5','M')+'\n'exam_str+='\n-----------------------------------------\n\n'except:print 'Problem AltAcq!'True#print "exam_str:\n"+exam_stroutputfile=os.path.join(self.resultsDirSN,'Artis-' + str(self.myXEvent.SN) +'_' + fromDate +'_'+ toDate+ '_plane_' +str(self.plane)+'_top_exam_sets.csv')fp = open(outputfile, "w")try: fp.write(exam_str)except:exam_str=exam_str.encode('utf-8') fp.write(exam_str)fp.close()fig = plt.figure(figsize=(14,19))#ax = fig.add_subplot(1, 1, 1)txtstr=u"OGP abnormalities\n(same OGP name with different content)\n"txtstr+='=================\n'for elem in self.ogp_diff:txtstr+=unicode(elem)+'\n'txtstr+='\n'fig.text(0.7, 0.1, txtstr,fontsize=8)txtstr=u"deleted OGPs\n"txtstr+='=================\n'for elem in sorted(self.ogp_del):if self.ogp_new[elem]!=[]:txtstr+='\n'+str(elem)+':\n\n'for x in self.ogp_del[elem]:txtstr+=unicode(x)+'\n'txtstr+='\n'fig.text(0.3, 0.1, txtstr,fontsize=8)txtstr=u"new OGPs\n"txtstr+='=================\n' for elem in sorted(self.ogp_new):if self.ogp_new[elem]!=[]:txtstr+='\n'+str(elem)+':\n\n'for x in self.ogp_new[elem]:txtstr+=unicode(x)+'\n'txtstr+='\n' fig.text(0.1, 0.1, txtstr,fontsize=8)txtstr=u"changed OGPs\n"txtstr+='=================\n' for elem,mode in sorted(self.ogp_change):if self.ogp_change[elem,mode]!=[]:txtstr+='\n'+str(elem)+' ('+str(mode)+'):\n\n'for diffs in self.ogp_change[elem,mode]:print diffs[0]#txtstr+= diffs[0].encode('utf8', 'replace')+':\n'txtstr+= unicode(diffs[0])+':\n'for fff in diffs[1]:txtstr+=' '+unicode(fff[0])+':'+ unicode(fff[1])+ '->' +unicode(fff[2])+ '\n' txtstr+='\n'fig.text(0.5, 0.1, txtstr,fontsize=8)fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:ramPlot = cStringIO.StringIO()fig.savefig(ramPlot, format='png')#ramPlot.read()ramPlot.seek( 0 ) #rewind dataimg=Image.open( ramPlot )im=np.asarray(img)ramPlot.close()fig1 = plt.figure(figsize=(14,19))canvas=FigureCanvasPdf(fig1) fig1.figimage(im, 0, -530, zorder = 1)pdf.savefig(fig1, dpi=100)del fig1del figpdf.close() print 'Finished Cons report'#-------------------------------------------------------------#generate studyreport# filename='XA'+str(self.myXEvent.SN)+'_study_report_plane_'+self.plane+'.csv'filename = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate +'_plane_'+str(self.plane)+'_studies.csv')outputfile=os.path.join(self.resultsDirSN, filename)fw = open(outputfile, "w") #first linedatastr='study'datastr+=', Start time'datastr+=', End time'datastr+=', Duration / [min]'datastr+=', Skindose F/ [mGy]'datastr+=', Skindose A/ [mGy]'datastr+=', Skindose Tot/ [mGy]'datastr+=', Fluoro time / [min]'datastr+=', #Fluoro'datastr+=', #Fluoro Biplane'datastr+=', #Acq'datastr+=', #Acq Biplane'datastr+=', DAP Fluoro/ [uGy*m*m]'datastr+=', DAP Acq / [uGy*m*m]'datastr+=', DAP Total/ [uGy*m*m]'datastr+=', mean WV /[mm]'datastr+=', max WV /[mm]'datastr+=', mean sys dose F/[nGy]'datastr+=', mean sys dose A/[nGy]'datastr+=', mean freq Fluoro/[Hz]'datastr+=', mean freq Acq/[Hz]'datastr+=', mean Zoom'datastr+=', max Zoom'datastr+=', min Zoom'datastr+=', mean SID'datastr+=', max SID'datastr+=', min SID'datastr+=', mean scene time Fluoro'datastr+=', mean scene time Acq'datastr+=', # Fluoro<20nGy'datastr+=', mean Gamma'#datastr+=', # 3D'datastr+=', # Lat<-10 Cran>10'datastr+=', # Lat<-10 Cran<10>-10'datastr+=', # Lat<-10 Cran<-10'datastr+=', # Lat>-10<10 Cran>10'datastr+=', # Lat>-10<10 Cran<10>-10'datastr+=', # Lat>-10<10 Cran<-10'datastr+=', # Lat>10 Cran>10'datastr+=', # Lat>10 Cran<10>-10'datastr+=', # Lat>10 Cran<-10'datastr+=', # CARD'datastr+=', # DR'datastr+=', # DSA'datastr+=', # FLUORO'datastr+=', # RDMP'datastr+=', # 3D_DR'datastr+=', # 3D_DSA'datastr+=', # 3D_CARD'datastr+=', # 3D_DRLV'datastr+=', # 3D_DRLF'datastr+=', # 3D_CORO'datastr+=', # DYNA'datastr+=', # DRDYNA'datastr+=', # PERI'datastr+=', # DRSTEP'datastr+=', # unknown'datastr+='\n'if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktdatastr=datastr.replace(',',';')fw.write(datastr)datastr=''_F=np.where(self.myXEvent.mode==ord('F'))BP=np.where(self.myXEvent.biplane>0.)#is_3D=np.array([1 if x!='no3d' else 0 for x in self.myXEvent._3Dmode])for study in range(0, int(num_studies)):datastr = '%d' % (study+1)study_idxs=range(self.myXEvent.pat_idx[study],self.myXEvent.pat_idx[study+1])study_idxs_F=list(set.intersection(set(study_idxs),set(_F[0]))) #indices of Fluoro events in current studystudy_idxs_A=list(set(study_idxs).difference(set(study_idxs_F))) #indices of Acq events in current studtot_num=float(len(study_idxs))study_idxs_F_BP=list(set.intersection(set(study_idxs_F),set(BP[0]))) study_idxs_A_BP=list(set.intersection(set(study_idxs_A),set(BP[0]))) #Biplaneexp_type={}exp_type['CARD']=0exp_type['DR']=0exp_type['DSA']=0exp_type['RDMP']=0exp_type['FLUORO']=0exp_type['3D-DR']=0exp_type['3D-DSA']=0exp_type['3D-CARD']=0exp_type['3D-DRLV']=0exp_type['3D-DRLF']=0exp_type['3D-CORO']=0exp_type['DYNA']=0exp_type['DRDYNA']=0exp_type['PERI']=0exp_type['DRSTEP']=0exp_type['unknown']=0for i in study_idxs:try:if self.myXEvent.OGP[i] in self.ACQ_set.keys(): exp_type[self.ACQ_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1elif self.myXEvent.OGP[i] in self.FL_set.keys(): exp_type[self.FL_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1 elif self.myXEvent.OGP[i] in self.RM_set.keys(): exp_type[self.RM_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1elif self.myXEvent.OGP[i] in self.ALT_set.keys(): exp_type[self.ALT_set[self.myXEvent.OGP[i]]['E X P O S U R E']]+=1else: #could happen if OGP is deleted,...best_matches_acq=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.ACQ_ogps))best_matches_fl=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.FL_ogps))best_matches_rm=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.RM_ogps))best_matches_alt=difflib.get_close_matches(self.myXEvent.OGP[i],list(self.ALT_ogps))found=Falseif len(best_matches_acq)>0 and not found:for ogp in best_matches_acq:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.ACQ_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_fl)>0 and not found:for ogp in best_matches_fl:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.FL_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_rm)>0 and not found:for ogp in best_matches_rm:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.RM_set[ogp]['E X P O S U R E']]+=1found=Trueif len(best_matches_alt)>0 and not found:for ogp in best_matches_rm:if ogp.replace(u'\xb5','_')==self.myXEvent.OGP[i]:exp_type[self.ALT_set[ogp]['E X P O S U R E']]+=1found=Trueif not found: exp_type['unknown']+=1except:exp_type['unknown']+=1 #might happen if the Examset file in Ziplog is missing or corrupt; or IQAP, DEX OGPstry:datastr+= ',%s' % time.ctime(self.myXEvent.pat_in_time[study]) datastr+= ',%s' % time.ctime(self.myXEvent.pat_out_time[study])datastr+= ',%d' % int16(self.myXEvent.pat_time[study]) #in mindatastr+= ',%5.2f' % (self.myXEvent.skindose[study_idxs_F].sum()/1000.)datastr+= ',%5.2f' % (self.myXEvent.skindose[study_idxs_A].sum()/1000.)datastr+= ',%5.2f' % (self.myXEvent.skindose[study_idxs].sum()/1000.)datastr+= ',%5.2f' % (self.myXEvent.scenelength[study_idxs_F].sum()/60./1000.) #mindatastr+= ',%d' % (len(study_idxs_F))datastr+= ',%d' % (len(study_idxs_F_BP))datastr+= ',%d' % (len(study_idxs_A))datastr+= ',%d' % (len(study_idxs_A_BP))datastr+= ',%5.2f' % (self.myXEvent.DAP[study_idxs_F].sum()/100.)datastr+= ',%5.2f' % (self.myXEvent.DAP[study_idxs_A].sum()/100.)datastr+= ',%5.2f' % (self.myXEvent.DAP[study_idxs].sum()/100.)datastr+= ',%5.2f' % (self.myXEvent.was[study_idxs].mean())datastr+= ',%5.2f' % (self.myXEvent.was[study_idxs].max())datastr+= ',%5.2f' % (self.myXEvent.system_dose[study_idxs_F].mean())datastr+= ',%5.2f' % (self.myXEvent.system_dose[study_idxs_A].mean())datastr+= ',%5.2f' % (self.myXEvent.frequency[study_idxs_F].mean())datastr+= ',%5.2f' % (self.myXEvent.frequency[study_idxs_A].mean())datastr+= ',%5.2f' % (self.myXEvent.zoom[study_idxs].mean())datastr+= ',%5.2f' % (self.myXEvent.zoom[study_idxs].max())datastr+= ',%5.2f' % (self.myXEvent.zoom[study_idxs].min())datastr+= ',%5.2f' % (self.myXEvent.SID[study_idxs].mean())datastr+= ',%5.2f' % (self.myXEvent.SID[study_idxs].max())datastr+= ',%5.2f' % (self.myXEvent.SID[study_idxs].min())datastr+= ',%5.2f' % (self.myXEvent.scenelength[study_idxs_F].mean())datastr+= ',%5.2f' % (self.myXEvent.scenelength[study_idxs_A].mean())datastr+= ',%5.2f' % ((self.myXEvent.system_dose[study_idxs_F]<20).sum())datastr+= ',%5.2f' % (self.myXEvent.gamma[study_idxs].mean())#datastr+= ',%5.2f' % (is_3D[study_idxs].sum())datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]<-10.)*(self.myXEvent.cran[study_idxs]>10.)).sum()/tot_num) # Lat<-10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]<-10.)*(self.myXEvent.cran[study_idxs]>-10.)*(self.myXEvent.cran[study_idxs]<=10.)).sum()/tot_num) # Lat<-10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]<-10.)*(self.myXEvent.cran[study_idxs]<=-10.)).sum()/tot_num) # Lat<-10 Cran<-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=-10.)*(self.myXEvent.rao[study_idxs]<10.)*(self.myXEvent.cran[study_idxs]>10.)).sum()/tot_num) # Lat>-10<10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=-10.)*(self.myXEvent.rao[study_idxs]<10.)*(self.myXEvent.cran[study_idxs]>-10.)*(self.myXEvent.cran[study_idxs]<=10.)).sum()/tot_num) # Lat>-10<10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=-10.)*(self.myXEvent.rao[study_idxs]<10.)*(self.myXEvent.cran[study_idxs]<=-10.)).sum()/tot_num) # Lat>-10<10 Cran<-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=10.)*(self.myXEvent.cran[study_idxs]>10.)).sum()/tot_num) # Lat>10 Cran>10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=10.)*(self.myXEvent.cran[study_idxs]>-10.)*(self.myXEvent.cran[study_idxs]<=10.)).sum()/tot_num) # Lat>10 Cran<10>-10'datastr+= ',%5.2f' % (((self.myXEvent.rao[study_idxs]>=10.)*(self.myXEvent.cran[study_idxs]<=-10.)).sum()/tot_num) # Lat>10 Cran<-10datastr+= ',%d' %(exp_type['CARD'])datastr+= ',%d' %(exp_type['DR'])datastr+= ',%d' %(exp_type['DSA'])datastr+= ',%d' %(exp_type['FLUORO'])datastr+= ',%d' %(exp_type['RDMP'])datastr+= ',%d' %(exp_type['3D-DR'])datastr+= ',%d' %(exp_type['3D-DSA'])datastr+= ',%d' %(exp_type['3D-CARD'])datastr+= ',%d' %(exp_type['3D-DRLV'])datastr+= ',%d' %(exp_type['3D-DRLF'])datastr+= ',%d' %(exp_type['3D-CORO'])datastr+= ',%d' %(exp_type['DYNA'])datastr+= ',%d' %(exp_type['DRDYNA'])datastr+= ',%d' %(exp_type['PERI'])datastr+= ',%d' %(exp_type['DRSTEP'])datastr+= ',%d' %(exp_type['unknown'])datastr+= '\n' #SID, angulation with secors, RM,DSA,DR,if self.cb_CSVstyle.GetValue(): #semikolon als Trenner, Komma anstatt Dezimalpunktdatastr=datastr.replace(',',';').replace('.',',')fw.write(datastr) #'%d,%s,%s,%d,%5.2f,%5.2f,%5.2f,%5.2f,%d,%5.2f,%5.2f,%5.2f\n',,studies_skindose(i,2)/1000.,(studies_skindose(i,1)+studies_skindose(i,2))/1000.,FL_time(i)/60,ACQ_sum(i),studies_doseareaprod(i,1)/100,studies_doseareaprod(i,2)/100.,(studies_doseareaprod(i,1)+studies_doseareaprod(i,2))/100);except:passfw.close() if tab==0 or (tab==3 and len(self.SNzips.keys())==1) and IcConsMode==1: if self.os_type.find('linux')==-1:1#os.system("start " + name)print "Fertig!"#part24 Averaged Powerif self.cb24.GetValue() or self.cb0.GetValue(): fig = plt.figure(figsize=(14,19)) #ax = plt.subplotgrid((3,1),(0,0),rowspan=2)#bx = plt.subplotgrid((3,1),(1,0),rowspan=1)#correct datesfor i in range(self.events-1,0,-1):if event_dates[i]<event_dates[i-1]:event_dates[i-1]=event_dates[i-1].replace(day=event_dates[i].day)sim_time=[]starttime=event_dates[0]-datetime.timedelta(0,0,0,0,30,0) #init 60min earlier endtime =event_dates[self.events-1]+datetime.timedelta(0,0,0,0,30,0) #end 60min alter delta_t= 60. #60sdifftime=endtime-starttimenum_entries=int((difftime.seconds+difftime.days*86400.)/delta_t)energy_input=numpy.zeros(num_entries) #minute baseenergy_input_peak=numpy.zeros(num_entries) target_input=numpy.zeros(num_entries)scene_length=numpy.zeros(num_entries)actual_index=0num_time_intervalls=energy_input.__len__()input_time=event_dates[0]sim_time.append(starttime)E_count=0allEvents=0###Danger!!!! Do no edit (default 1.0)pow_fact=1.0 #Megalix2Gigalix power increase - for worst case estimation set to 1.3###Danger!!!! Do not edit#1. Schritt: Aufteilung der Schussenergie auf den Zeitbereichillegal_timeseries=Falsefor tt in range(1,num_time_intervalls):sim_time.append(sim_time[-1]+datetime.timedelta(0,0,0,0,1,0))energy_input[tt]=0while(sim_time[tt]>=input_time and actual_index<self.events):energy=self.myXEvent.current[actual_index]*self.myXEvent.voltage[actual_index]*self.myXEvent.time[actual_index]*self.myXEvent.frames[actual_index] #mJactual_scene_length=self.myXEvent.scenelength[actual_index]/1000. #secscene_length[tt]=actual_scene_length#Umverteilungnum_bins=int(ceil(actual_scene_length/delta_t))energy_per_bin=energy/num_binsenergy_input_peak[tt]+=energyfor s in range(0,num_bins):energy_input[tt-s]+=energy_per_bin actual_index=actual_index+1#print actual_indexif actual_index==self.events:breakif event_dates[actual_index-1]>event_dates[actual_index]:illegal_timeseries=Trueprint "illegal time step!"breakinput_time=event_dates[actual_index]energy_input=energy_input*pow_fact #calculation of mean poweramean_power_5= numpy.convolve(energy_input,numpy.ones(5)/5.,'same')/delta_t/1000./1000.mean_power_10= numpy.convolve(energy_input,numpy.ones(10)/10.,'same')/delta_t/1000./1000. #mittlere Leistung über 10 min in kW mean_power_20= numpy.convolve(energy_input,numpy.ones(20)/20.,'same')/delta_t/1000./1000.mean_power_30= numpy.convolve(energy_input,numpy.ones(30)/30.,'same')/delta_t/1000./1000.ax = fig.add_subplot(2,1,1)#ax.plot_date(pylab.date2num(sim_time),energy_input/60./1000./1000. , marker='', linestyle='-',color='black', label=' 1min') ax.plot_date(pylab.date2num(sim_time),mean_power_10, marker='', linestyle='-',color='red', label='10min') ax.plot_date(pylab.date2num(sim_time),mean_power_20, marker='', linestyle='-',color='green', label='20min') ax.plot_date(pylab.date2num(sim_time),mean_power_30, marker='', linestyle='-',color='blue', label='30min') ax.set_ylabel('Averaged tube power /[kW]', size='x-small') ax.set_xlabel('Time', size='x-small') ax.grid(True)ax.legend()plt.title('Tube power averaged on various time scales (EXPERIMENTAL!) w/o driving power')ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#labels = ax.get_yticklabels()#setp(labels, rotation=0, fontsize=8)#-------------------bx = fig.add_subplot(2,1,2)z=numpy.zeros((num_entries,3))z[:,0]=mean_power_10z[:,1]=mean_power_20z[:,2]=mean_power_30#bx.hist(mean_power_10, 20,normed=1, range=(0.001,5.0))bx.hist(z, 20,normed=1, range=(0.001,5.0),label=['10min','20min','30min'], color=['red','green','blue'])#bx.hist(z, 40, range=(0.001,5.0), normed=1, histtype='step', cumulative=True)bx.set_xlim(0, 4)bx.legend()leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')bx.set_xlabel('Averaged tube power /[kW]', size='x-small') bx.set_ylabel('Rel. occurance # ', size='x-small') #ax.hist(mean_power_20, 20,alpha=0.5) #ax.set_xlabel('Occurance', size='small')#-------------------fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part24'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(SID))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]), horizontalalignment='center', verticalalignment='center')name = 'XA'+str(self.myXEvent.SN)+'_plane_'+str(self.plane)+'_results_24.pdf'outputfile=os.path.join(self.resultsDirSN,name)plt.savefig(outputfile) plt.close() #text outputoutputfile=os.path.join(self.resultsDirSN,'tube_load_'+str(self.plane)+'.csv')fw = open(outputfile, "w")fw.write("Index,sim_time,scene_length,energy_input_peak,energy_input,power[kW]\n")for i in xrange(len(energy_input)):datastring = str(i)+','+str(sim_time[i])+','+str(scene_length[i]) + ',' + str(energy_input_peak[i]) + ',' + str(energy_input[i])+','+str(energy_input[i]/delta_t/1000./1000.)+'\n'print datastringfw.write(datastring)fw.close() datastring=''for i in xrange(self.events):try:datastring =datastring+str((100.+self.myXEvent.prevHU[i])/200.*self.myXEvent.voltage[i]*self.myXEvent.current[i]/1000./self.myXEvent.maxPower_Istzeit[i]*self.myXEvent.scenelength[i]/1000.)+'\n'except:blubb=1outputfile=os.path.join(self.resultsDirSN,'tube_load_2'+str(self.plane)+'.csv')fw = open(outputfile, "w")fw.write("factor\n") fw.write(datastring)fw.close()# return #------------------------------------------------------------------ def calcStromDurchgriff(self, kv, mode, focus):if(focus==ord('S')):xrayVoltage=self.xrayVoltage['small']maxCurrAcq=self.maxCurrAcq['small']maxCurrFluoro=self.maxCurrFluoro['small']if(focus==ord('L')):xrayVoltage=self.xrayVoltage['large']maxCurrAcq=self.maxCurrAcq['large']maxCurrFluoro=self.maxCurrFluoro['large']if(focus==ord('M')):xrayVoltage=self.xrayVoltage['micro']maxCurrAcq=self.maxCurrAcq['micro']maxCurrFluoro=self.maxCurrFluoro['micro']if (kv*1000 < int(xrayVoltage[0]) or kv*1000 > int(xrayVoltage[-1])):#print "XrayVoltage out of range!"return -1# interpolation startingvoltalt = 0currAcq_alt = 0currFluoro_alt = 0for volt, currAcq, currFluoro in zip(xrayVoltage, maxCurrAcq, maxCurrFluoro):if int(volt) >= int(kv*1000):breakvoltalt = float(volt)currAcq_alt = float(currAcq)currFluoro_alt = float(currFluoro)# just float-castvolt = float(volt)currAcq = float(currAcq)currFluoro = float(currFluoro)anzStuetz = volt - voltaltvalueACQ = (currAcq - currAcq_alt) / float(anzStuetz) * ((kv*1000) - voltalt) + currAcq_alt valueFluoro = (currFluoro - currFluoro_alt) / float(anzStuetz) * ((kv*1000) - voltalt) + currFluoro_alt #TODO Auswahl fuer Fluoro if mode==ord('F'): return valueFluoro/1000.0 # uA->mAelse :return valueACQ/1000.0 # uA->mA#------------------------------------------------------------------ def calcConstantLoad(self, ms, focus):if(focus==ord('S')):CL_kWs=self.ConstantLoad['small'] #0.1kWsCL_ms =self.PulseDuration['small'] #0.1msif(focus==ord('L')):CL_kWs=self.ConstantLoad['large'] #0.1kWsCL_ms =self.PulseDuration['large'] #0.1msif(focus==ord('M')):CL_kWs=self.ConstantLoad['micro'] #0.1kWsCL_ms =self.PulseDuration['micro'] #0.1ms # interpolation startingms_alt = 0kWs_alt = 0for ms_, kWs_ in zip(CL_ms, CL_kWs):if int(ms_/10.) >= int(ms):breakms_alt = float(ms_/10.)kWs_alt = float(kWs_/10.)# just float-castms_ = float(ms_/10.)kWs_ = float(kWs_/10.)anzStuetz = ms_ - ms_altConstLoad = (kWs_-kWs_alt)/float(anzStuetz) * (ms - ms_alt) + kWs_alt return ConstLoad/ms #kW################################################################ def get_power_from_HU(self, HU):Energy_content=HU/100.*1500000 #[Ws]cooling_power= Energy_content*Energy_content * 2.49e-9 + Energy_content * 9.33e-4 #[W]return cooling_power#------------------------------------------------------------------ def calcStromSerie(self, X, Y, focus): #X=Dutycycle Y=Scenetime#print X,Y,focusif X < self.myDutyCycle[0]:X=self.myDutyCycle[0]if X > self.myDutyCycle[-1]:X=self.myDutyCycle[-1]if Y < self.mySceneTime[0]:Y=self.mySceneTime[0]if Y > self.mySceneTime[-1]:Y=self.mySceneTime[-1]#Y=int(Y)#X=int(X) if(focus==ord('S')):SerialLoadTable=self.SerialLoadTable['small']if(focus==ord('L')):SerialLoadTable=self.SerialLoadTable['large']if(focus==ord('M')):SerialLoadTable=self.SerialLoadTable['micro']################### INTERPOLATION ####################if (SerialLoadTable[Y][X] == 0): #interpolationx_iter_max = 0x_iter_min = 0y_iter_max = 0y_iter_min = 0# get xmin & xmax coordinatesfor i in range(0, len(self.myDutyCycle)):if (int(self.myDutyCycle[i]) >= int(X)):x_iter_max = float(self.myDutyCycle[i])breakx_iter_min = float(self.myDutyCycle[i])# get ymin & ymax coordinatesfor i in range(0, len(self.mySceneTime)):if (float(self.mySceneTime[i]) >= int(Y)):y_iter_max = float(self.mySceneTime[i])breaky_iter_min = float(self.mySceneTime[i])############## calculate x-interpolations (x_intx_interpol2pol1 & x2) x_AnzStuetz = x_iter_max - x_iter_minx_interpol1 = SerialLoadTable[y_iter_min][x_iter_max] - SerialLoadTable[y_iter_min][x_iter_min]x_interpol1 = x_interpol1 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable[y_iter_min][x_iter_min]x_interpol2 = SerialLoadTable[y_iter_max][x_iter_max] - SerialLoadTable[y_iter_max][x_iter_min]x_interpol2 = x_interpol2 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable[y_iter_max][x_iter_min]############## calculate y-interpolation y_AnzStuetz = y_iter_max - y_iter_miny_interpol = x_interpol2 - x_interpol1y_interpol = y_interpol / float(y_AnzStuetz) * (Y - y_iter_min) + x_interpol1#print "dutycycle: " + str(X) + " len: " + str(Y) + " value: " + str(y_interpol) + " - interpolated"return y_interpol / 10.0################## INTERPOLATION END ################# #print "dutycycle: " + str(X) + " len: " + str(Y) + " value: " + str(SerialLoadTable[Y][X])return SerialLoadTable[Y][X] / 10.0 #------------------------------------------------------------------ def calcStromSerieDyn(self, X, Y, focus, cooling_pow):#print X,Y,focusif X < self.myDutyCycle[0]:X=self.myDutyCycle[0]if X > self.myDutyCycle[-1]:X=self.myDutyCycle[-1]if Y < self.mySceneTime[0]:Y=self.mySceneTime[0]if Y > self.mySceneTime[-1]:Y=self.mySceneTime[-1]#Y=int(Y)#X=int(X) if(focus==ord('S')):SerialLoadTable=self.SerialLoadTable['small']SerialLoadTable200=self.SerialLoadTable200['small']if(focus==ord('L')):SerialLoadTable=self.SerialLoadTable['large']SerialLoadTable200=self.SerialLoadTable200['large']if(focus==ord('M')):SerialLoadTable=self.SerialLoadTable['micro']SerialLoadTable200=self.SerialLoadTable200['micro']################### INTERPOLATION ####################if (SerialLoadTable[Y][X] == 0): #interpolationx_iter_max = 0x_iter_min = 0y_iter_max = 0y_iter_min = 0# get xmin & xmax coordinatesfor i in range(0, len(self.myDutyCycle)):if (int(self.myDutyCycle[i]) >= int(X)):x_iter_max = float(self.myDutyCycle[i])breakx_iter_min = float(self.myDutyCycle[i])# get ymin & ymax coordinatesfor i in range(0, len(self.mySceneTime)):if (float(self.mySceneTime[i]) >= int(Y)):y_iter_max = float(self.mySceneTime[i])breaky_iter_min = float(self.mySceneTime[i])############## calculate x-interpolations (x_intx_interpol2pol1 & x2) x_AnzStuetz = x_iter_max - x_iter_minx_interpol1 = SerialLoadTable[y_iter_min][x_iter_max] - SerialLoadTable[y_iter_min][x_iter_min]x_interpol1 = x_interpol1 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable[y_iter_min][x_iter_min]x_interpol1_200 = SerialLoadTable200[y_iter_min][x_iter_max] - SerialLoadTable200[y_iter_min][x_iter_min]x_interpol1_200 = x_interpol1_200 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable200[y_iter_min][x_iter_min]x_interpol2 = SerialLoadTable[y_iter_max][x_iter_max] - SerialLoadTable[y_iter_max][x_iter_min]x_interpol2 = x_interpol2 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable[y_iter_max][x_iter_min]x_interpol2_200 = SerialLoadTable200[y_iter_max][x_iter_max] - SerialLoadTable200[y_iter_max][x_iter_min]x_interpol2_200 = x_interpol2_200 / float(x_AnzStuetz) * (X - x_iter_min) + SerialLoadTable200[y_iter_max][x_iter_min]############## calculate y-interpolation y_AnzStuetz = y_iter_max - y_iter_miny_interpol = x_interpol2 - x_interpol1y_interpol = y_interpol / float(y_AnzStuetz) * (Y - y_iter_min) + x_interpol1y_interpol_200 = x_interpol2_200 - x_interpol1_200y_interpol_200 = y_interpol_200 / float(y_AnzStuetz) * (Y - y_iter_min) + x_interpol1_200#print "dutycycle: " + str(X) + " len: " + str(Y) + " value: " + str(y_interpol) + " - interpolated"y_interpol_out=(y_interpol-y_interpol_200)/800.*(cooling_pow-200.)+y_interpol_200 #power in wattreturn y_interpol_out / 10.0################## INTERPOLATION END ################# #print "dutycycle: " + str(X) + " len: " + str(Y) + " value: " + str(SerialLoadTable[Y][X])return ((SerialLoadTable[Y][X]-SerialLoadTable200[Y][X])/800.*(cooling_pow-200.)+SerialLoadTable200[Y][X])/ 10.0 ########################################################################### def do_part18(self):global StartzeitfromDate = (str(self.start__datum))[0:10].replace('/','-')toDate = (str(self.ende__datum))[0:10].replace('/','-') day_total = (self.ende__datum-self.start__datum).days#part18 Arcing Analysisif self.cb18.GetValue() or self.cb0.GetValue():all_arcs_n=0all_arcs_p=0fig = plt.figure(figsize=(14,19))name = os.path.join(self.resultsDirSN, 'Artis-' + str(self.myXEvent.SN) + '_' + fromDate + '-' + toDate + '_plane_'+self.plane+'_results_18.pdf')if (self.cb_png.GetValue()==False):pdf = PdfPages(name) plt.rc('xtick', labelsize=10) plt.rc('ytick', labelsize=10) plt.rc("axes", titlesize=12)#PUN Error-Warningsax = fig.add_subplot(4,3,4) ax.axis('off')ax.text(0.15, 0.75, u'PUN-Errors & Warnings', fontweight='bold',fontsize=8)ypos=0.05for i,pun_err_type in enumerate(PUN_ERR.keys()):if len(PUN_ERR[pun_err_type])>0:ax.text(0.15, ypos+i*0.05, pun_err_type+' :'+str(len(PUN_ERR[pun_err_type])),fontsize=8) ax.text(0.15, 0.00, u'('+self.myXEvent.PUN_SW+')',fontsize=8)#----------------------------#BEif len(TIME)>0:datesX = [dateutil.parser.parse(s) for s in TIME] ATx = pylab.date2num(datesX) onlyF1 =numpy.zeros(self.events)onlyF2 =numpy.zeros(self.events)onlyFG =numpy.zeros(self.events)for i in range(self.events):if self.myXEvent.focus[i]==ord('S'):onlyF1[i]+=onlyF1[i-1]+self.myXEvent.BE_F1[i]else:onlyF1[i]+=onlyF1[i-1]if self.myXEvent.focus[i]==ord('L'):onlyF2[i]+=onlyF2[i-1]+self.myXEvent.BE_F2[i]else:onlyF2[i]+=onlyF2[i-1]if self.myXEvent.focus[i]==ord('M'):onlyFG[i]+=onlyFG[i-1]+self.myXEvent.BE_FG[i]else:onlyFG[i]+=onlyFG[i-1]BE_total=onlyF1+onlyF2+onlyFGax = fig.add_subplot(4,3,11)ax.plot_date(ATx, BE_total, marker='', linestyle='-',color='black', label='all (%d)'%BE_total[-1])ax.plot_date(ATx, onlyF1, marker='', linestyle='-',color='blue', label="F1 (%d)"%onlyF1[-1])ax.plot_date(ATx, onlyF2, marker='', linestyle='-',color='red', label="F2 (%d)"%onlyF2[-1])ax.plot_date(ATx, onlyFG, marker='', linestyle='-',color='green', label="FG (%d)"%onlyFG[-1])ax.set_ylabel('BE', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('summed BE per focus') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#---------------------------- #Arcing-eventstemp_all=0if len(arcing_time_global) != 0:Arcing_Time=[]#Arcing_Time = [dateutil.parser.parse(s) for s in arcing_time_global] #AT = pylab.date2num(Arcing_Time) num_arcs= num_arcing.__len__()-num_arcing.count(0)temp_0x001A=0temp_0x001B=0temp_0x001C=0temp_0x001D=0temp_0x001E=0temp_0x0018=0temp_0x000A=0temp_0x000B=0temp_0x000C=0temp_0x0008=0temp_0x0007=0temp_0x0006=0temp_0x0005=0temp_0x0004=0temp_0x0003=0temp_0x0002=0temp_0x0001=0temp_0x0000=0temp_other =0temp_all =0all_arcs =numpy.zeros(num_arcs)only_0x001A =numpy.zeros(num_arcs)only_0x001B =numpy.zeros(num_arcs)only_0x001C =numpy.zeros(num_arcs)only_0x001D =numpy.zeros(num_arcs)only_0x001E =numpy.zeros(num_arcs)only_0x000A =numpy.zeros(num_arcs)only_0x000B =numpy.zeros(num_arcs)only_0x000C =numpy.zeros(num_arcs)only_0x0018 =numpy.zeros(num_arcs)only_0x0008 =numpy.zeros(num_arcs)only_0x0007 =numpy.zeros(num_arcs)only_0x0006 =numpy.zeros(num_arcs)only_0x0005 =numpy.zeros(num_arcs)only_0x0004 =numpy.zeros(num_arcs)only_0x0003 =numpy.zeros(num_arcs)only_0x0002 =numpy.zeros(num_arcs)only_0x0001 =numpy.zeros(num_arcs)only_0x0000 =numpy.zeros(num_arcs)other_arcs =numpy.zeros(num_arcs)arc_idx=0all_arcs_p=0only_0x001A_p=0only_0x001B_p=0only_0x001C_p=0 only_0x001D_p=0 only_0x001E_p=0 only_0x0018_p=0 only_0x000A_p=0 only_0x000B_p=0only_0x000C_p=0only_0x0008_p=0only_0x0007_p=0only_0x0006_p=0only_0x0005_p=0only_0x0004_p=0only_0x0003_p=0only_0x0002_p=0only_0x0001_p=0only_0x0000_p=0only_0x001A_n=0only_0x001B_n=0only_0x001C_n=0 only_0x001D_n=0 only_0x001E_n=0 only_0x0018_n=0 only_0x000A_n=0 only_0x000B_n=0only_0x000C_n=0only_0x0008_n=0only_0x0007_n=0only_0x0006_n=0only_0x0005_n=0only_0x0004_n=0only_0x0003_n=0only_0x0002_n=0only_0x0001_n=0only_0x0000_n=0for i in range(self.events):if num_arcing[i]>0: Arcing_Time.append(dateutil.parser.parse(TIME[i]))if self.myXEvent.arc_0x001A[i]>0:temp_0x001A+=self.myXEvent.arc_0x001A[i] if self.myXEvent.arc_0x001B[i]>0:temp_0x001B+=self.myXEvent.arc_0x001B[i] if self.myXEvent.arc_0x001C[i]>0:temp_0x001C+=self.myXEvent.arc_0x001C[i] if self.myXEvent.arc_0x001D[i]>0:temp_0x001D+=self.myXEvent.arc_0x001D[i]if self.myXEvent.arc_0x001E[i]>0:temp_0x001E+=self.myXEvent.arc_0x001E[i]if self.myXEvent.arc_0x0018[i]>0:temp_0x0018+=self.myXEvent.arc_0x0018[i]if self.myXEvent.arc_0x000A[i]>0:temp_0x000A+=self.myXEvent.arc_0x000A[i] if self.myXEvent.arc_0x000B[i]>0:temp_0x000B+=self.myXEvent.arc_0x000B[i] if self.myXEvent.arc_0x000C[i]>0:temp_0x000C+=self.myXEvent.arc_0x000C[i]if self.myXEvent.arc_0x0008[i]>0:temp_0x0008+=self.myXEvent.arc_0x0008[i]if self.myXEvent.arc_0x0007[i]>0:temp_0x0007+=self.myXEvent.arc_0x0007[i]if self.myXEvent.arc_0x0006[i]>0:temp_0x0006+=self.myXEvent.arc_0x0006[i]if self.myXEvent.arc_0x0005[i]>0:temp_0x0005+=self.myXEvent.arc_0x0005[i]if self.myXEvent.arc_0x0004[i]>0:temp_0x0004+=self.myXEvent.arc_0x0004[i]if self.myXEvent.arc_0x0003[i]>0:temp_0x0003+=self.myXEvent.arc_0x0003[i]if self.myXEvent.arc_0x0002[i]>0:temp_0x0002+=self.myXEvent.arc_0x0002[i]if self.myXEvent.arc_0x0001[i]>0:temp_0x0001+=self.myXEvent.arc_0x0001[i]if self.myXEvent.arc_0x0000[i]>0:temp_0x0000+=self.myXEvent.arc_0x0000[i]if self.myXEvent.arc_other[i]>0:temp_other+=self.myXEvent.arc_other[i]temp_all+=num_arcing[i] only_0x001A_p+=self.myXEvent.arc_0x001A_frame[i].count('+') only_0x001B_p+=self.myXEvent.arc_0x001B_frame[i].count('+') only_0x001C_p+=self.myXEvent.arc_0x001C_frame[i].count('+') only_0x001D_p+=self.myXEvent.arc_0x001D_frame[i].count('+') only_0x001E_p+=self.myXEvent.arc_0x001E_frame[i].count('+') only_0x0018_p+=self.myXEvent.arc_0x0018_frame[i].count('+') only_0x000A_p+=self.myXEvent.arc_0x000A_frame[i].count('+') only_0x000B_p+=self.myXEvent.arc_0x000B_frame[i].count('+')only_0x000C_p+=self.myXEvent.arc_0x000C_frame[i].count('+')only_0x0008_p+=self.myXEvent.arc_0x0008_frame[i].count('+')only_0x0007_p+=self.myXEvent.arc_0x0007_frame[i].count('+')only_0x0006_p+=self.myXEvent.arc_0x0006_frame[i].count('+')only_0x0005_p+=self.myXEvent.arc_0x0005_frame[i].count('+')only_0x0004_p+=self.myXEvent.arc_0x0004_frame[i].count('+')only_0x0003_p+=self.myXEvent.arc_0x0003_frame[i].count('+')only_0x0002_p+=self.myXEvent.arc_0x0002_frame[i].count('+')only_0x0001_p+=self.myXEvent.arc_0x0001_frame[i].count('+')only_0x0000_p+=self.myXEvent.arc_0x0000_frame[i].count('+')only_0x001A_n+=self.myXEvent.arc_0x001A_frame[i].count('-') only_0x001B_n+=self.myXEvent.arc_0x001B_frame[i].count('-') only_0x001C_n+=self.myXEvent.arc_0x001C_frame[i].count('-') only_0x001D_n+=self.myXEvent.arc_0x001D_frame[i].count('-') only_0x001E_n+=self.myXEvent.arc_0x001E_frame[i].count('-') only_0x0018_n+=self.myXEvent.arc_0x0018_frame[i].count('-') only_0x000A_n+=self.myXEvent.arc_0x000A_frame[i].count('-') only_0x000B_n+=self.myXEvent.arc_0x000B_frame[i].count('-')only_0x000C_n+=self.myXEvent.arc_0x000C_frame[i].count('-')only_0x0008_n+=self.myXEvent.arc_0x0008_frame[i].count('-')only_0x0007_n+=self.myXEvent.arc_0x0007_frame[i].count('-')only_0x0006_n+=self.myXEvent.arc_0x0006_frame[i].count('-')only_0x0005_n+=self.myXEvent.arc_0x0005_frame[i].count('-')only_0x0004_n+=self.myXEvent.arc_0x0004_frame[i].count('-')only_0x0003_n+=self.myXEvent.arc_0x0003_frame[i].count('-')only_0x0002_n+=self.myXEvent.arc_0x0002_frame[i].count('-')only_0x0001_n+=self.myXEvent.arc_0x0001_frame[i].count('-')only_0x0000_n+=self.myXEvent.arc_0x0000_frame[i].count('-')all_arcs[arc_idx] =temp_allonly_0x001A[arc_idx] =temp_0x001Aonly_0x001B[arc_idx] =temp_0x001Bonly_0x001C[arc_idx] =temp_0x001Conly_0x001D[arc_idx] =temp_0x001Donly_0x001E[arc_idx] =temp_0x001Eonly_0x0018[arc_idx] =temp_0x0018only_0x000A[arc_idx] =temp_0x000Aonly_0x000B[arc_idx] =temp_0x000Bonly_0x000C[arc_idx] =temp_0x000Conly_0x0008[arc_idx] =temp_0x0008only_0x0007[arc_idx] =temp_0x0007only_0x0006[arc_idx] =temp_0x0006only_0x0005[arc_idx] =temp_0x0005only_0x0004[arc_idx] =temp_0x0004only_0x0003[arc_idx] =temp_0x0003only_0x0002[arc_idx] =temp_0x0002only_0x0001[arc_idx] =temp_0x0001only_0x0000[arc_idx] =temp_0x0000other_arcs[arc_idx] =temp_otherarc_idx+=1 all_arcs_p=( only_0x001A_p+only_0x001B_p+only_0x001C_p+only_0x001D_p+only_0x001E_p+only_0x0018_p+only_0x000A_p+only_0x000B_p+only_0x000C_p+only_0x0008_p+only_0x0007_p+only_0x0006_p+only_0x0005_p+only_0x0004_p+only_0x0003_p+only_0x0002_p+only_0x0001_p+only_0x0000_p) all_arcs_n=( only_0x001A_n+only_0x001B_n+only_0x001C_n+only_0x001D_n+only_0x001E_n+only_0x0018_n+only_0x000A_n+only_0x000B_n+only_0x000C_n+only_0x0008_n+only_0x0007_n+only_0x0006_n+only_0x0005_n+only_0x0004_n+only_0x0003_n+only_0x0002_n+only_0x0001_n+only_0x0000_n) if all_arcs_n==0 and all_arcs_p==0: # evtl. alte SW ohne #only_0x001A_p=self.myXEvent.arc_0x001A.sum() only_0x001B_p=self.myXEvent.arc_0x001B.sum() only_0x001C_p=self.myXEvent.arc_0x001C.sum() only_0x001D_p=self.myXEvent.arc_0x001D.sum()only_0x001E_p=self.myXEvent.arc_0x001E.sum()only_0x0018_p=self.myXEvent.arc_0x0018.sum()only_0x000A_p=self.myXEvent.arc_0x000A.sum()only_0x000B_p=self.myXEvent.arc_0x000B.sum()only_0x000C_p=self.myXEvent.arc_0x000C.sum()only_0x0008_p=self.myXEvent.arc_0x0008.sum()only_0x0007_p=self.myXEvent.arc_0x0007.sum()only_0x0006_p=self.myXEvent.arc_0x0006.sum()only_0x0005_p=self.myXEvent.arc_0x0005.sum()only_0x0004_p=self.myXEvent.arc_0x0004.sum()only_0x0003_p=self.myXEvent.arc_0x0003.sum()only_0x0002_p=self.myXEvent.arc_0x0002.sum()only_0x0001_p=self.myXEvent.arc_0x0001.sum()only_0x0000_p=self.myXEvent.arc_0x0000.sum()AT=pylab.date2num(Arcing_Time) ax = fig.add_subplot(4,3,1)ax.plot_date(AT, all_arcs, marker='.', linestyle='-',label='all_arcs (+%d,-%d)'%(temp_all-all_arcs_n,all_arcs_n) , color='black')ax.plot_date(AT, only_0x001E, marker='.', linestyle='-',label='0x001E (+%d,-%d)'%(only_0x001E_p,only_0x001E_n) +' Oneside Arcing FPGA Cathode' , color='blueviolet')ax.plot_date(AT, only_0x001D, marker='.', linestyle='-',label='0x001D (+%d,-%d)'%(only_0x001D_p,only_0x001D_n) +' Oneside Arcing FPGA Anode' , color='darkgray')ax.plot_date(AT, only_0x001C, marker='.', linestyle='-',label='0x001C (+%d,-%d)'%(only_0x001C_p,only_0x001C_n) +' Warn. Bothside Arcing FPGA' , color='darkgreen')ax.plot_date(AT, only_0x001B, marker='.', linestyle='-',label='0x001B (+%d,-%d)'%(only_0x001B_p,only_0x001B_n) +' Max kV sum kV detected by FPGA' , color='magenta')ax.plot_date(AT, only_0x001A, marker='.', linestyle='-',label='0x001A (+%d,-%d)'%(only_0x001A_p,only_0x001A_n) +' Warn. Oneside Arcing' , color='lavender')ax.plot_date(AT, only_0x0018, marker='.', linestyle='-',label='0x0018 (+%d,-%d)'%(only_0x0018_p,only_0x0018_n) +' Warn. Bothside Arcing' , color='red')ax.plot_date(AT, only_0x000C, marker='.', linestyle='-',label='0x000C (+%d,-%d)'%(only_0x000C_p,only_0x000C_n) +' Warn. Powersupply' , color='darkred')ax.plot_date(AT, only_0x000B, marker='.', linestyle='-',label='0x000B (+%d,-%d)'%(only_0x000B_p,only_0x000B_n) +' Warn. Fault Inverter' , color='darkorchid')ax.plot_date(AT, only_0x000A, marker='.', linestyle='-',label='0x000A (+%d,-%d)'%(only_0x000A_p,only_0x000A_n) +' Warn. I_load' , color='darkmagenta')ax.plot_date(AT, only_0x0008, marker='.', linestyle='-',label='0x0008 (+%d,-%d)'%(only_0x0008_p,only_0x0008_n) +' Warn. UBmax Inverter' , color='green')ax.plot_date(AT, only_0x0007, marker='.', linestyle='-',label='0x0007 (+%d,-%d)'%(only_0x0007_p,only_0x0007_n) +' Warn. Imax Inverter' , color='blue')ax.plot_date(AT, only_0x0006, marker='.', linestyle='-',label='0x0006 (+%d,-%d)'%(only_0x0006_p,only_0x0006_n) +' Warn. Delta kV negative kV' , color='limegreen')ax.plot_date(AT, only_0x0005, marker='.', linestyle='-',label='0x0005 (+%d,-%d)'%(only_0x0005_p,only_0x0005_n) +' Warn. Delta kV positive kV' , color='maroon')ax.plot_date(AT, only_0x0004, marker='.', linestyle='-',label='0x0004 (+%d,-%d)'%(only_0x0004_p,only_0x0004_n) +' Warn. max kV negative kV' , color='gray')ax.plot_date(AT, only_0x0003, marker='.', linestyle='-',label='0x0003 (+%d,-%d)'%(only_0x0003_p,only_0x0003_n) +' Warn. max kV positive kV' , color='indigo')ax.plot_date(AT, only_0x0002, marker='.', linestyle='-',label='0x0002 (+%d,-%d)'%(only_0x0002_p,only_0x0002_n) +' Warn. during startc inverter adjust' , color='yellow')ax.plot_date(AT, only_0x0001, marker='.', linestyle='-',label='0x0001 (+%d,-%d)'%(only_0x0001_p,only_0x0001_n) +' Warn. during static inverter adjust' , color='cyan')ax.plot_date(AT, only_0x0000, marker='.', linestyle='-',label='0x0000 (+%d,-%d)'%(only_0x0000_p,only_0x0000_n) +' No SWR within 10s' , color='hotpink')ax.plot_date(AT, other_arcs , marker='.', linestyle='-',label='other (%d)'%temp_other , color='firebrick')ax.set_ylabel('occurance /# ', size='x-small')ax.set_xlabel('Time', size='x-small') legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)plt.title("Arcing events (PUD 5016)- Sum:{0}".format(len(arcing_time_global)) + "\nTotal Arcing events: {0}".format(num_arcing_tot), size='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')datesX = [dateutil.parser.parse(s) for s in TIME] datemin = datesX[0] #Zeitpunkt erster Xray Event (nicht Grid Warning Event)datemin =datetime.datetime(datemin.year,datemin.month,datemin.day,0,0,0)datemax = datesX[-1] #Zeitpunkt letzter Xray Event (nicht Grid Warning Eventdatemax = datetime.datetime(datemax.year,datemax.month,datemax.day,23,59,59)ax.set_xlim(datemin, datemax)labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)else:ax = fig.add_subplot(4,3,1)ax.text(0.3, 0.5, 'no arcing-events')plt.title('Arcing events', size='small') ##### focus dependent arcing arcing_kv_small = []arcing_kv_large = []arcing_kv_micro = []arcing_time_small = []arcing_time_large = []arcing_time_micro = [] arcing_pow_large=[]arcing_HU_large=[]arcing_pow_small=[]arcing_HU_small=[]arcing_pow_micro=[]arcing_HU_micro=[] if len(arcing_time_global) != 0: kk=set(arcing_idx_global)arc_idx=[arcing_idx_global.index(x) for x in kk ] #list of indices of first occurance of xray idfor i in arc_idx:if arcing_foc_global[i] == 'S':arcing_kv_small.append(arcing_kV_global[i])arcing_pow_small.append(arcing_kV_global[i]*arcing_mA_global[i]/1000.)arcing_HU_small.append(arcing_HU_global[i])arcing_time_small.append(dateutil.parser.parse(arcing_time_global[i]) )elif arcing_foc_global[i] == 'L':arcing_kv_large.append(arcing_kV_global[i])arcing_pow_large.append(arcing_kV_global[i]*arcing_mA_global[i]/1000.)arcing_HU_large.append(arcing_HU_global[i]) arcing_time_large.append(dateutil.parser.parse(arcing_time_global[i]) )elif arcing_foc_global[i] == 'M':arcing_kv_micro.append(arcing_kV_global[i]) arcing_pow_micro.append(arcing_kV_global[i]*arcing_mA_global[i]/1000.)arcing_HU_micro.append(arcing_HU_global[i])arcing_time_micro.append(dateutil.parser.parse(arcing_time_global[i]) )else:1 #should not happen if len(arcing_kv_small) > 0:ax = fig.add_subplot(4,3,7)ax.hist(arcing_kv_small+[-1], 20, range=(40,125)) #add zero to avoid error hist with only one elementax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True)ax.set_xlim(40,125) plt.title("# small focus arc trains: {0}".format(len(arcing_kv_small)), size='small')else:ax = fig.add_subplot(4,3,7)ax.text(0.2, 0.5, 'No small focus arcings')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) ax.set_xlim(40,125) plt.title("# small focus arcings: {0}".format(len(arcing_kv_small)), size='small')if len(arcing_kv_large) > 0: ax = fig.add_subplot(4,3,8)ax.hist(arcing_kv_large+[-1], 20, range=(40,125)) #add zero to avoid error hist with only one elementax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) ax.set_xlim(40,125)plt.title("# large focus arc trains: {0}".format(len(arcing_kv_large)), size='small')else:ax = fig.add_subplot(4,3,8)ax.text(0.2, 0.5, 'No large focus arcings ')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) ax.set_xlim(40,125)plt.title("# large focus arcings: {0}".format(len(arcing_kv_large)), size='small')if len(arcing_kv_micro) > 0:ax = fig.add_subplot(4,3,9)ax.hist(arcing_kv_micro+[-1], 20, range=(40,125)) #add zero to avoid error hist with only one elementax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) ax.set_xlim(40,125)plt.title("# micro focus arc trains: {0}".format(len(arcing_kv_micro)), size='small')else:ax = fig.add_subplot(4,3,9)ax.text(0.2, 0.5, 'No micro focus arcings')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) ax.set_xlim(40,125) plt.title("# micro focus arcings: {0}".format(len(arcing_kv_micro)), size='small')else:ax = fig.add_subplot(4,3,7)ax.text(0.2, 0.5, 'No small focus arcings')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) plt.title("# small focus arcings: 0", size='small') ax = fig.add_subplot(4,3,8)ax.text(0.2, 0.5, 'No large focus arcings ')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) plt.title("# large focus arcings: 0", size='small') ax = fig.add_subplot(4,3,9)ax.text(0.2, 0.5, 'No micro focus arcings ')ax.set_xlabel('Voltage /[kV]', size='x-small')ax.set_ylabel('occurance /# ', size='x-small')ax.grid(True) plt.title("# micro focus arcings: 0", size='small')try:#HU vs pulse power of arcing eventsax = fig.add_subplot(4,3,12) ax.plot(arcing_HU_small,arcing_pow_small, marker='.', linestyle='', color='red' , label='S') ax.plot(arcing_HU_large,arcing_pow_large, marker='.', linestyle='', color='blue', label='L' ) ax.plot(arcing_HU_micro,arcing_pow_micro, marker='.', linestyle='', color='green', label='M' ) ax.set_xlabel('HU /[%]', size='x-small')ax.set_ylabel('pulse power /[kW]', size='x-small')ax.grid(True) ax.set_xlim(0,100)ax.set_ylim(0,100)ax.legend()leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('Arcing - HU vs pulse power (arc trains))', size='small') #hist of arcing regarding to pulsepower F1ax = fig.add_subplot(4,3,3) ax.hist(arcing_pow_small+[-1], 50, range=(1,50)) ax.set_xlabel('kW', size='x-small')ax.set_ylabel('occurance /#', size='x-small')ax.grid(True) ax.set_xlim(0,50) plt.title('Arcing vs. pulsepower F1 (arc trains) ', size='small') #plt.xticks(c, bezeichnung, rotation=90) #hist of arcing regarding to pulsepower F2ax = fig.add_subplot(4,3,6) ax.hist(arcing_pow_large+[-1], 100, range=(1,100)) ax.set_xlabel('kW', size='x-small')ax.set_ylabel('occurance /#', size='x-small')ax.grid(True)ax.set_xlim(0,100)plt.title('Arcing vs. pulsepower F2 (arc trains)', size='small') #-----------------------------# sum of xray events over timep_arc=numpy.zeros(len(self.myXEvent.arc_0x001A_frame))n_arc=numpy.zeros(len(self.myXEvent.arc_0x001A_frame))for ii in range(len(self.myXEvent.arc_0x001A_frame)):p_arc[ii]+=(self.myXEvent.arc_0x001A_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x001A_frame[ii]).count('-') p_arc[ii]+=(self.myXEvent.arc_0x001B_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x001B_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x001C_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x001C_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x001D_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x001D_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x001E_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x001E_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0018_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0018_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0008_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0008_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0007_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0007_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0006_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0006_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0005_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0005_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0004_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0004_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0003_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0003_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0002_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0002_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0001_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0001_frame[ii]).count('-')p_arc[ii]+=(self.myXEvent.arc_0x0000_frame[ii]).count('+') n_arc[ii]+=(self.myXEvent.arc_0x0000_frame[ii]).count('-')datesX = [dateutil.parser.parse(s) for s in TIME] ATx = pylab.date2num(datesX) all = numpy.array(arange(self.events))+1onlyF1 =numpy.zeros(self.events)onlyF2 =numpy.zeros(self.events)onlyFG =numpy.zeros(self.events)F1_events=0F2_events=0FG_events=0for i in range(self.events):if self.myXEvent.focus[i]==ord('S'):F1_events+=1if self.myXEvent.focus[i]==ord('L'):F2_events+=1if self.myXEvent.focus[i]==ord('M'):FG_events+=1onlyF1[i]=F1_events onlyF2[i]=F2_events onlyFG[i]=FG_eventsax = fig.add_subplot(4,3,10)ax.plot_date(ATx, all, marker='', linestyle='-',color='black', label='all (%d)'%self.events)ax.plot_date(ATx, onlyF1, marker='', linestyle='-',color='blue', label="F1 (%d)"%F1_events)ax.plot_date(ATx, onlyF2, marker='', linestyle='-',color='red', label="F2 (%d)"%F2_events)ax.plot_date(ATx, onlyFG, marker='', linestyle='-',color='green', label="FG (%d)"%FG_events)ax.set_ylabel('occurance /# ', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')arcs_per_10000=(p_arc>0).sum()*10000./self.eventsif all_arcs_n==0 and all_arcs_p==0: # evtl. alte SW ohne #arcs_per_10000=temp_all*10000./self.eventsplt.title("#Xrays:{0}".format(self.events)+ ' #Arc(+)-Bursts/10k Xrays:%2.2f'%arcs_per_10000, size='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)fig.text(0.5, 0.95,'XA'+str(self.myXEvent.SN)+' part18'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(TIME))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(Startzeit[0])+' End: '+str(Startzeit[len(Startzeit)-1]+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr), horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p1.png')plt.close() except:print 'No xray-Events found! Skipping plot page 1!'#---------------------------------------------------- #page2fig = plt.figure(figsize=(14,19))#kV arcing delevopment in timeax = fig.add_subplot(4,3,1)ax.plot_date(arcing_time_small, arcing_kv_small, marker='.', linestyle='',color='blue', label="F1")ax.plot_date(arcing_time_large, arcing_kv_large, marker='.', linestyle='',color='red', label="F2")ax.plot_date(arcing_time_micro, arcing_kv_micro, marker='.', linestyle='',color='green', label="FG")ax.set_ylim(40, 130)ax.set_ylabel('Voltage [kV]', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=3)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('Arcing over time (kV dependent)', size='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#kW arcing delevopment in timeax = fig.add_subplot(4,3,2)ax.plot_date(arcing_time_small, arcing_pow_small, marker='.', linestyle='',color='blue', label="F1")ax.plot_date(arcing_time_large, arcing_pow_large, marker='.', linestyle='',color='red', label="F2")ax.plot_date(arcing_time_micro, arcing_pow_micro, marker='.', linestyle='',color='green', label="FG")ax.set_ylim(5, 130)ax.set_ylabel('Power [kW]', size='x-small')ax.set_xlabel('Time', size='x-small') ax.legend(loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')arcs_per_10000=(numpy.array(num_arcing)>0).sum()*10000/self.eventsplt.title('Arcing over time (kW dependent)', size='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))#fig.autofmt_xdate()labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#hist of arcing regarding to pulsepower FGax = fig.add_subplot(4,3,3) ax.hist(arcing_pow_micro+[-1], 100, range=(1,30)) ax.set_xlabel('kW', size='x-small')ax.set_ylabel('occurance /#', size='x-small')ax.grid(True) plt.title('Arcing vs. pulsepower FG (arc trains) ', size='small') ax = fig.add_subplot(4,3,6)scan_secs=(self.myXEvent.time[0:self.events]*self.myXEvent.frames[0:self.events]).sum()/1000.0if scan_secs>0:normed_arcs_less_80kV = ((numpy.array(num_arcing)>0)*(self.myXEvent.voltage[0:self.events]<80) ).sum()*10000./scan_secsnormed_arcs_80_100kV = ((numpy.array(num_arcing)>0)*(self.myXEvent.voltage[0:self.events]>=80)*(self.myXEvent.voltage[0:self.events]<=100) ).sum()*10000./scan_secsnormed_arcs_over_100kV = ((numpy.array(num_arcing)>0)*(self.myXEvent.voltage[0:self.events]>=100)).sum()*10000./scan_secsnormed_arcs_less_80kV_p = ((p_arc>0)*(self.myXEvent.voltage[0:self.events]<80) ).sum()*10000./scan_secsnormed_arcs_80_100kV_p = ((p_arc>0)*(self.myXEvent.voltage[0:self.events]>=80)*(self.myXEvent.voltage[0:self.events]<=100) ).sum()*10000./scan_secsnormed_arcs_over_100kV_p= ((p_arc>0)*(self.myXEvent.voltage[0:self.events]>=100)).sum()*10000./scan_secsnormed_arcs_less_80kV_n = ((n_arc>0)*(self.myXEvent.voltage[0:self.events]<80) ).sum()*10000./scan_secsnormed_arcs_80_100kV_n = ((n_arc>0)*(self.myXEvent.voltage[0:self.events]>=80)*(self.myXEvent.voltage[0:self.events]<=100) ).sum()*10000./scan_secsnormed_arcs_over_100kV_n= ((n_arc>0)*(self.myXEvent.voltage[0:self.events]>=100)).sum()*10000./scan_secselse:normed_arcs_less_80kV=0normed_arcs_80_100kV=0normed_arcs_over_100kV=0normed_arcs_less_80kV_p=0normed_arcs_80_100kV_p=0normed_arcs_over_100kV_p=0normed_arcs_less_80kV_n=0normed_arcs_80_100kV_n=0normed_arcs_over_100kV_n=0if all_arcs_n==0 and all_arcs_p==0: # evtl. alte SW ohne #normed_arcs_less_80kV_p=normed_arcs_less_80kVnormed_arcs_80_100kV_p=normed_arcs_80_100kVnormed_arcs_over_100kV_p=normed_arcs_over_100kVax.bar(1,normed_arcs_less_80kV_p,width=0.3,bottom=0,color='red')ax.bar(1,normed_arcs_less_80kV_n,width=0.3,bottom=normed_arcs_less_80kV_p,color='green') ax.bar(2,normed_arcs_80_100kV_p,width=0.3,bottom=0,color='red')ax.bar(2,normed_arcs_80_100kV_n,width=0.3,bottom=normed_arcs_80_100kV_p,color='green') ax.bar(3,normed_arcs_over_100kV_p,width=0.3,bottom=0,color='red')ax.bar(3,normed_arcs_over_100kV_n,width=0.3,bottom=normed_arcs_over_100kV_p,color='green') if normed_arcs_less_80kV_p>0:ax.text(1, 0, "%2.2f"%normed_arcs_less_80kV_p ,size='x-small',color='black')if normed_arcs_80_100kV_p>0: ax.text(2, 0, "%2.2f"%normed_arcs_80_100kV_p ,size='x-small',color='black')if normed_arcs_over_100kV_p>0:ax.text(3, 0, "%2.2f"%normed_arcs_over_100kV_p,size='x-small',color='black') if normed_arcs_less_80kV_n>0: ax.text(1, normed_arcs_less_80kV_p, "%2.2f"%normed_arcs_less_80kV_n ,size='x-small',color='black')if normed_arcs_80_100kV_n>0:ax.text(2, normed_arcs_80_100kV_p, "%2.2f"%normed_arcs_80_100kV_n ,size='x-small',color='black')if normed_arcs_over_100kV_n>0: ax.text(3, normed_arcs_over_100kV_p, "%2.2f"%normed_arcs_over_100kV_n,size='x-small',color='black') ax.set_xlabel('kV range', size='x-small')ax.set_ylabel('#arc bursts ', size='x-small')ax.grid(True) ax.legend(('in pulse (+): %2.2f'%(normed_arcs_less_80kV_p+normed_arcs_80_100kV_p+normed_arcs_over_100kV_p),'after pulse (-): %2.2f'%(normed_arcs_less_80kV_n+normed_arcs_80_100kV_n+normed_arcs_over_100kV_n)),loc=2)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')ax.set_xlim(0.5,3.5) plt.xticks([1, 2, 3], ["<80kV", "80-100kV", ">100kV"]) plt.title('Arc Bursts per 10k Scan Secs (%2.2fs)'%scan_secs,size='x-small') ################################grid warning eventsif len(grid_time_global) != 0:grid_Time=[]num_grids= num_grid.__len__()-num_grid.count(0)temp_0x000A=0temp_0x0009=0temp_0x0008=0temp_0x0007=0temp_0x0006=0temp_0x0005=0temp_0x0004=0temp_0x0003=0temp_0x0002=0temp_0x0001=0temp_0x0000=0temp_other =0temp_all =0all_grids =numpy.zeros(num_grids)only_0x000A =numpy.zeros(num_grids)only_0x0009 =numpy.zeros(num_grids)only_0x0008 =numpy.zeros(num_grids)only_0x0007 =numpy.zeros(num_grids)only_0x0006 =numpy.zeros(num_grids)only_0x0005 =numpy.zeros(num_grids)only_0x0004 =numpy.zeros(num_grids)only_0x0003 =numpy.zeros(num_grids)only_0x0002 =numpy.zeros(num_grids)only_0x0001 =numpy.zeros(num_grids)only_0x0000 =numpy.zeros(num_grids)other_grids =numpy.zeros(num_grids)grid_idx=0for i in range(self.events):if num_grid[i]>0: grid_Time.append(dateutil.parser.parse(TIME[i]))if self.myXEvent.grid_0x000A[i]>0:temp_0x000A+=self.myXEvent.grid_0x000A[i] if self.myXEvent.grid_0x0009[i]>0:temp_0x0009+=self.myXEvent.grid_0x0009[i] if self.myXEvent.grid_0x0008[i]>0:temp_0x0008+=self.myXEvent.grid_0x0008[i]if self.myXEvent.grid_0x0007[i]>0:temp_0x0007+=self.myXEvent.grid_0x0007[i]if self.myXEvent.grid_0x0006[i]>0:temp_0x0006+=self.myXEvent.grid_0x0006[i]if self.myXEvent.grid_0x0005[i]>0:temp_0x0005+=self.myXEvent.grid_0x0005[i]if self.myXEvent.grid_0x0004[i]>0:temp_0x0004+=self.myXEvent.grid_0x0004[i]if self.myXEvent.grid_0x0003[i]>0:temp_0x0003+=self.myXEvent.grid_0x0003[i]if self.myXEvent.grid_0x0002[i]>0:temp_0x0002+=self.myXEvent.grid_0x0002[i]if self.myXEvent.grid_0x0001[i]>0:temp_0x0001+=self.myXEvent.grid_0x0001[i]if self.myXEvent.grid_0x0000[i]>0:temp_0x0000+=self.myXEvent.grid_0x0000[i]if self.myXEvent.grid_other[i]>0:temp_other+=self.myXEvent.grid_other[i]temp_all+=num_grid[i] all_grids[grid_idx] =temp_allonly_0x000A[grid_idx] =temp_0x000Aonly_0x0009[grid_idx] =temp_0x0009only_0x0008[grid_idx] =temp_0x0008only_0x0007[grid_idx] =temp_0x0007only_0x0006[grid_idx] =temp_0x0006only_0x0005[grid_idx] =temp_0x0005only_0x0004[grid_idx] =temp_0x0004only_0x0003[grid_idx] =temp_0x0003only_0x0002[grid_idx] =temp_0x0002only_0x0001[grid_idx] =temp_0x0001only_0x0000[grid_idx] =temp_0x0000other_grids[grid_idx] =temp_othergrid_idx+=1 AT=pylab.date2num(grid_Time) ax = fig.add_subplot(4,3,7)ax.plot_date(AT, all_grids, marker='.', linestyle='-',label='all_grid_warnings (%d)'%temp_all , color='black')ax.plot_date(AT, only_0x000A, marker='.', linestyle='-',label='0x000A (%d)'%temp_0x000A +' Grid circuit is broken without HV active' , color='darkred')ax.plot_date(AT, only_0x0009, marker='.', linestyle='-',label='0x0009 (%d)'%temp_0x0009 +' Grid circuit is short without HV active' , color='red')ax.plot_date(AT, only_0x0008, marker='.', linestyle='-',label='0x0008 (%d)'%temp_0x0008 +' Grid circuit is open without HV active' , color='green')ax.plot_date(AT, only_0x0007, marker='.', linestyle='-',label='0x0007 (%d)'%temp_0x0007 +' Grid error without HV active' , color='blue')ax.plot_date(AT, only_0x0006, marker='.', linestyle='-',label='0x0006 (%d)'%temp_0x0006 +' Grid ctrl not ready bef. recov. fr. arcing' , color='limegreen')ax.plot_date(AT, only_0x0005, marker='.', linestyle='-',label='0x0005 (%d)'%temp_0x0005 +' Grid circuit is broken with HV active' , color='maroon')ax.plot_date(AT, only_0x0004, marker='.', linestyle='-',label='0x0004 (%d)'%temp_0x0004 +' Grid circuit is short with HV active' , color='gray')ax.plot_date(AT, only_0x0003, marker='.', linestyle='-',label='0x0003 (%d)'%temp_0x0003 +' Grid circuit is open with HV active' , color='indigo')ax.plot_date(AT, only_0x0002, marker='.', linestyle='-',label='0x0002 (%d)'%temp_0x0002 +' Grid error with high voltage active' , color='yellow')ax.plot_date(AT, only_0x0001, marker='.', linestyle='-',label='0x0001 (%d)'%temp_0x0001 +' Grid control not ready before starting HV' , color='cyan')ax.plot_date(AT, only_0x0000, marker='.', linestyle='-',label='0x0000 (%d)'%temp_0x0000 +' Grid control hardware D660 is missing' , color='hotpink')ax.plot_date(AT, other_grids, marker='.', linestyle='-',label='other (%d)'%temp_other , color='firebrick')ax.set_ylabel('occurance /# ', size='x-small')ax.set_xlabel('Time', size='x-small') #ylim(ymin=0.01)legend(bbox_to_anchor=(1.04, 1), loc=2, borderaxespad=0.)plt.title("Grid warnings (PUD 509A) - Sum:{0}".format(len(grid_time_global)) + "\nTotal Grid warnings: {0}".format(num_grid_tot), size='small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')datemin = datesX[0] #Zeitpunkt erster Xray Event (nicht Grid Warning Event)datemin =datetime.datetime(datemin.year,datemin.month,datemin.day,0,0,0)datemax = datesX[-1] #Zeitpunkt letzter Xray Event (nicht Grid Warning Eventdatemax = datetime.datetime(datemax.year,datemax.month,datemax.day,23,59,59)ax.set_xlim(datemin, datemax)labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#"""else:ax = fig.add_subplot(4,3,7)ax.text(0.3, 0.5, 'no grid warnings')plt.title('Grid warnings', size='small')#### Power vs HU for all Eventsax = fig.add_subplot(4,3,9) ax.plot(self.myXEvent.HU[0:self.events],self.myXEvent.current[0:self.events]*self.myXEvent.voltage[0:self.events]/1000., marker='.', linestyle='', color='red') ax.set_xlabel('HU /[%]', size='x-small')ax.set_ylabel('pulse power /[kW]', size='x-small')ax.grid(True) ax.set_xlim(0,100)ax.set_ylim(0,100)ax.legend()plt.title('HU vs pulse power (all events))', size='small') #### Watervalue over timeax = fig.add_subplot(4,3,12)xxtime = [dateutil.parser.parse(s) for s in TIME] s = pylab.date2num(xxtime) ax.plot_date(s, self.myXEvent.was[0:self.events], marker='.', linestyle='.')ax.set_ylabel('Watervalue /[mm]', size='x-small')ax.set_xlabel('Time', size='x-small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)plt.title('Watervalue over time, mean WV: %2.1f mm'%self.myXEvent.was[0:self.events].mean(), size='small') #### Histogram of power rel to max powertry: if self.myXEvent.maxPower_Istzeit[0]!=-1:ax = fig.add_subplot(4,3,10)temp_array=numpy.array(self.myXEvent.maxPower_Sollzeit)ax.hist(self.myXEvent.current[0:self.events]*(self.myXEvent.focus[0:self.events]==ord('L'))*self.myXEvent.voltage[0:self.events]/temp_array/1000.,100, range=(0.01,1.0))ax.set_ylabel('# occurance', size='x-small')ax.set_xlabel('review pulse power / max pulse power (preview) \n (based on default tube prom, large focus)', size='x-small') ax.set_xlim(0.0,1.0) ax.grid(True)labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#plt.title('pulse power / max power\n(of review based on org tube prom data)', size='small') except:Truetry: if self.myXEvent.maxPower_Istzeit[0]!=-1:ax = fig.add_subplot(4,3,11)temp_array=numpy.array(self.myXEvent.maxPower_Sollzeit)ax.hist(self.myXEvent.current[0:self.events]*(self.myXEvent.focus[0:self.events]==ord('S'))*self.myXEvent.voltage[0:self.events]/temp_array/1000.,100, range=(0.01,1.0))ax.set_ylabel('# occurance', size='x-small')ax.set_xlabel('review pulse power / max pulse power (preview) \n (based on default tube prom, small focus)', size='x-small') ax.set_xlim(0.0,1.0) ax.grid(True)labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)#plt.title('pulse power / max power\n(of review based on org tube prom data)', size='small') except:True fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part18'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(TIME))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(fromDate)+' End: '+str(toDate)+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr, horizontalalignment='center', verticalalignment='center')fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p2.png')#----------------------------------#page3fig = plt.figure(figsize=(14,19))prev_xlims_min=pylab.date2num(self.start__datum) prev_xlims_max=pylab.date2num(self.ende__datum) # Time plots of driving frequency and act tube frq if len(self.driv_tube_freq)!=0:ax = fig.add_subplot(6,1,1)xxtime = [dateutil.parser.parse(s) for s in self.envtime] s = pylab.date2num(xxtime) if len(PUN_ERR['Err_5023_RAC_OP'])>0:err_time=PUN_ERR['Err_5023_RAC_OP']err_val=[190 for r in PUN_ERR['Err_5023_RAC_OP']] s_err = pylab.date2num(err_time) ax.plot_date(s, self.driv_tube_freq, marker='.',markersize=2, linestyle='', label='drive_tube_freq',markeredgecolor='red',color='red')xxtime = [dateutil.parser.parse(s) for s in self.envtime2] s = pylab.date2num(xxtime) ax.plot_date(s, self.act_tube_freq , marker='.',markersize=2, linestyle='', label='act_tube_freq', markeredgecolor='blue', color='blue')if len(PUN_ERR['Err_5023_RAC_OP'])>0:ax.plot_date(s_err, err_val , marker='o', markersize=5, linestyle='', label='Err_5023_RAC_OP', color='black')ax.set_ylabel('Frequency /[Hz]', size='x-small')ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))ax.set_ylim(120,250) labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)ax.set_xticklabels([])ax.set_xlim(prev_xlims_min,prev_xlims_max)ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')colors_ = ['red','blue'] for color,text in zip(colors_,leg.get_texts()):text.set_color(color)#Schlupfberechnung (nicht ganz sauber, wenn Zeitdifferenzen zwischen Antrieb und Istdrehzahl (todo: sicherstellen innerhalt delta_t=20s?)temp_driv_frq=numpy.array(self.driv_tube_freq)temp_act_frq=numpy.array(self.act_tube_freq)del_elem=numpy.nonzero(temp_act_frq==65535)temp_driv_frq=numpy.delete(temp_driv_frq,del_elem)temp_act_frq=numpy.delete(temp_act_frq,del_elem)min_l=min(len(temp_driv_frq),len(temp_act_frq))slip=temp_driv_frq[:min_l]-temp_act_frq[:min_l]if len(temp_driv_frq)!=0:txt='max driving frequency:%2.1f Hz - mean driving freq: %2.1f Hz - STD driving frequency %2.1f Hz'%(temp_driv_frq.max(),temp_driv_frq.mean(),temp_driv_frq.std())txt=txt+'\n'txt=txt+'max actual freq:%2.1f Hz - mean actual freq:%2.1f Hz - STD driving frequency %2.1f Hz'%(temp_act_frq.max(),temp_act_frq.mean(),temp_act_frq.std()) txt=txt+'\n'txt=txt+'max slip:%2.1f Hz - mean slip:%2.1f Hz - STD slip:%2.1f Hz'%(slip.max(),slip.mean(),slip.std())plt.title(txt, size='small') # Time plots of driving currentif len(self.envtime3)!=0:ax = fig.add_subplot(6,1,2)if len(PUN_ERR['Err_5023_RAC_OP'])>0:err_time=PUN_ERR['Err_5023_RAC_OP']err_val=[7000 for r in PUN_ERR['Err_5023_RAC_OP']] s_err = pylab.date2num(err_time) xxtime = [dateutil.parser.parse(cc) for cc in self.envtime3] s3 = pylab.date2num(xxtime) ax.plot_date(s3, self.driv_current, marker='.', markeredgecolor='green', markersize=1, linestyle='', label='driv_current', color='green')if len(PUN_ERR['Err_5023_RAC_OP'])>0:ax.plot_date(s_err, err_val , marker='o', linestyle='', label='Err_5023_RAC_OP', color='black')ax.set_ylabel('Drive current /[mA]', size='x-small')#ax.set_xlabel('Time', size='x-small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))ax.set_ylim(min(self.driv_current)-2000,max(self.driv_current)+2000) ax.set_xlim(prev_xlims_min,prev_xlims_max)labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)ax.set_xticklabels([])ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1, handlelength=0)leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('mean driving current: %2.1f mA'%mean(self.driv_current) + ' --- std driving current: %2.1f mA'%(numpy.array(self.driv_current)).std() , size='small') # Time plot of oil temp / H1 temp /Schlupfif len(self.t0_temp)!=0:ax = fig.add_subplot(6,1,3)xxtime = [dateutil.parser.parse(r) for r in self.t0_time] r = pylab.date2num(xxtime) ax.plot_date(r, self.t0_temp, marker='.',markersize=2, linestyle='', label='T0_oil_Temp', markeredgecolor='red', color='red')ax.set_ylabel('Oil/H1 temp /[grad C]', size='x-small',color='black')ax.grid(True)ax.set_ylim(0,100) for tl in ax.get_yticklabels():tl.set_color('red') #H1 tempxxtime = [dateutil.parser.parse(r) for r in self.H1_time] r = pylab.date2num(xxtime) ax.plot_date(r, self.H1_temp, marker='.',markersize=2, linestyle='', label='H1_Temp', markeredgecolor='green', color='green')#Cooling aggregat runnningcstate=[]ctime=[]if len(cooling_state)>0:for i in range(1,len(cooling_state)):if cooling_state[i]>0 and cooling_state[i-1]<=0:cstate.append(0)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[i-1])))cstate.append(0)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[i])))elif cooling_state[i]<=0 and cooling_state[i-1]>0:cstate.append(5)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[i-1])))cstate.append(5)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[i])))else:if cooling_state[i-1]<=0:cstate.append(0)else:cstate.append(5)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[i-1])))if cooling_state[-1]>0:cstate.append(5)cstate.append(5)else:cstate.append(0)cstate.append(0)ctime.append(pylab.date2num(dateutil.parser.parse(cooling_time[-1])))ctime.append(pylab.date2num(dateutil.parser.parse(self.envtime3[-1])))ax.plot_date(ctime, cstate, marker='', linestyle='-', label='cooling', color='magenta')ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1)leg = ax.get_legend()#leg.get_frame().set_alpha(0.5)ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small') colors_ = ['red','green'] for color,text in zip(colors_,leg.get_texts()):text.set_color(color)#Schlupf auf zweiter y-Achse rechtsax2 = ax.twinx()ax2.plot_date(s[:min_l], slip, marker='.',markersize=2, linestyle='', label='slip', markeredgecolor='blue',color='blue')ax2.set_ylabel('Slip in [Hz]', size='x-small', color='blue')for tl in ax2.get_yticklabels():tl.set_color('blue') ax2.set_ylim(min(slip)-2.,max(slip)+2.) ax.set_xlim(prev_xlims_min,prev_xlims_max) ax.set_xticklabels([])try:hoursum='%2.1fh'%(len(self.envtime2)/60.) except:hoursum='n.a.' plt.title('slip and mean oil temperature T0: %2.1f grad C '%mean(self.t0_temp)+ ' - system run time:'+hoursum, size='small') else: 1#Schlupf allein wenn keine Öltemeratur vorhandenax2 = fig.add_subplot(6,1,3)try:ax2.plot_date(s[:min_l], slip, marker='.',markersize=2, linestyle='', label='slip', markeredgecolor='blue',color='blue')ax2.set_ylabel('Slip in [Hz]', size='x-small', color='blue')for tl in ax2.get_yticklabels():tl.set_color('blue') ax2.set_ylim(min(slip)-2.,max(slip)+2.) ax2.set_xlim(prev_xlims_min,prev_xlims_max) ax2.set_xticklabels([])except:print 'error printing slip plot!'plt.title('slip', size='small')#### Tube angulation/SID over time (+ Tube position for B)ax = fig.add_subplot(6,1,4)try:if self.myXEvent.SystemType=='Robot Stand':xxtime = [dateutil.parser.parse(s) for s in scu_224_time] s = pylab.date2num(xxtime) ax.plot_date(s, alpha_orb_rob, marker='.', linestyle='-',linewidth=1,color='red',label='tube angle')#ax.plot_date(s, scu_cran , marker='.', linestyle='-',linewidth=1,color='red',label='CRAN')#ax.plot_date(s, scu_rao, marker='.', linestyle='-',linewidth=1,color='green',label='RAO')else: #all other standsxxtime = [dateutil.parser.parse(s) for s in scu_time] s = pylab.date2num(xxtime) ax.plot_date(s, alpha_orb, marker='.', linestyle='-',linewidth=1,color='red',label='tube angle')if self.plane=='B':ax.plot_date(s, scu_gantry_long, marker='.', linestyle='-',linewidth=1,color='green',label='Gantry_Long')ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y %H:%M'))ax.set_xlim(prev_xlims_min,prev_xlims_max) ax.set_xticklabels([])ax.set_ylim(80,130) labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)if self.plane=='B': ax.set_ylim(-250,180)ax.set_ylabel(u'Angulation in [°]/Plane B Pos in [cm]', size='x-small')else:ax.set_ylim(-180,180)ax.set_ylabel(u'Angulation in [°]', size='x-small')xxtime = [dateutil.parser.parse(s) for s in scu_time] s = pylab.date2num(xxtime) ax2 = ax.twinx()ax2.plot_date(s, scu_sid, marker='.',markersize=1, linestyle='-',linewidth=1,color='blue',label='SID',alpha=0.3)ax2.set_ylabel('SID in [cm]', size='x-small', color='blue')ax2.set_ylim(80,130)for tl in ax2.get_yticklabels():tl.set_color('blue') ax2.set_xlim(prev_xlims_min,prev_xlims_max) ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1)leg = ax.get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small') plt.title('Tube geometry data (system type: '+self.myXEvent.SystemType+'); vertical tube time: %4.1f min'%(vertical_tube_time),fontsize='small') except:True###start stops arcings ...####ax = fig.add_subplot(6,1,5)#power on/offif len(power_on)>0 and len(power_off)>0:xxtime = [dateutil.parser.parse(z) for z in power_on] p_on_val = [3 for z in power_on] s_power_on = pylab.date2num(xxtime) xxtime = [dateutil.parser.parse(z) for z in power_off] p_off_val = [6 for z in power_off]s_power_off = pylab.date2num(xxtime) ax.plot_date(s_power_on, p_on_val , marker='d',markersize=4, linestyle='',color='black',markerfacecolor='white', alpha=0.5,label='Power on')ax.plot_date(s_power_off,p_off_val, marker='o',markersize=4, linestyle='',color='black', alpha=0.5,label='Power off')#service start/stopif len(service_start)>0 and len(service_stop)>0:xxtime = [dateutil.parser.parse(z) for z in service_start] ser_on_val = [9 for z in service_start] s_ser_on = pylab.date2num(xxtime) xxtime = [dateutil.parser.parse(z) for z in service_stop] ser_off_val = [12 for z in service_stop]s_ser_off = pylab.date2num(xxtime) ax.plot_date(s_ser_on, ser_on_val , marker='s',markersize=4, linestyle='',color='black',markerfacecolor='white', alpha=0.5,label='Service start')ax.plot_date(s_ser_off,ser_off_val, marker='^',markersize=4, linestyle='',color='black', alpha=0.5,label='Service stop')y_pos=24i_=0for pun_err_type in sorted(PUN_ERR.keys()):if len(PUN_ERR[pun_err_type])>0:if pun_err_type=='Err_7110_CAN_DATA_(A100)_normal_limits' or pun_err_type=='Err_7111_CAN_DATA_(A100)_reduced_limits':continuei_+=1Err_val=[y_pos+i_*2 for z in PUN_ERR[pun_err_type]]Err_time=pylab.date2num(PUN_ERR[pun_err_type])marker = markers.next()color=colors.next()if pun_err_type=='Warn_5016_SCAN_WARNING':arc_val = [25 for z in Err_val]marker='*'color='blue'ax.plot_date(Err_time,Err_val, marker=marker,markersize=4, linestyle='',color=color, alpha=0.5,label=pun_err_type)#Tube Adjustif len(TUBE_ADJUST)>0:#xxtime = [dateutil.parser.parse(z) for z in ERR5022_INTERMEDIATE_CIRCUIT_VOLTAGE_ERROR] TUBE_ADJUST_val = [15 for z in TUBE_ADJUST]TUBE_ADJUST_time = pylab.date2num(TUBE_ADJUST) ax.plot_date(TUBE_ADJUST_time,TUBE_ADJUST_val, marker='p',markersize=4, linestyle='',color='red',label='TUBE_ADJUST') #TUBE_CONDITIONINGif len(TUBE_CONDITIONING)>0:TUBE_CONDITIONING_val = [18 for z in TUBE_CONDITIONING]TUBE_CONDITIONING_time = pylab.date2num(TUBE_CONDITIONING) ax.plot_date(TUBE_CONDITIONING_time,TUBE_CONDITIONING_val, marker='s',markersize=4, linestyle='',color='cyan',label='TUBE_CONDITIONING') #LESS_FRAMES (3D Problem) if len(LESS_FRAMES)>0:LESS_FRAMES_val = [21 for z in LESS_FRAMES]LESS_FRAMES_time = pylab.date2num(LESS_FRAMES) ax.plot_date(LESS_FRAMES_time,LESS_FRAMES_val, marker='s',markersize=4, linestyle='',color='black',label='3D Abort') #bypass_fluoroif len(bypass_fl)>0:bypass_fl_val = [24 for z in bypass_fl]bypass_fl_time = pylab.date2num(bypass_fl) ax.plot_date(bypass_fl_time,bypass_fl_val, marker='s',markersize=4, linestyle='',color='green',label='Bypass FL') #FPGA_Errorif len(FPGA_Error)>0:FPGA_Error_val = [19 for z in FPGA_Error]ax.plot_date(FPGA_Error,FPGA_Error_val, marker='s',markersize=4, linestyle='',color='blue',label='FPGA_Error') #marker=r"$ {} $".format(item[0]), edgecolors='none' )try:ax.set_xlim(prev_xlims_min,prev_xlims_max) ax.set_xticklabels([])ax.set_yticklabels([])ax.set_ylim(0,66) ax.grid(True)ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1, handlelength=0 )leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')except:True#### HU over timeax = fig.add_subplot(6,1,6)if len(all_HU_time)>0:xxtime = [dateutil.parser.parse(s) for s in all_HU_time] s = pylab.date2num(xxtime) ax.plot_date(s, all_HU, marker='.', linestyle='-',linewidth=1,color='blue',label='HU')t_3D_good=[]val_3D_good=[]t_3D_bad=[]val_3D_bad=[]for i,x in enumerate(self.myXEvent._3Dmode):if x!='no3d':if abs(self.myXEvent.scu_base_rot[i])>30:t_3D_bad.append(TIME[i])val_3D_bad.append(50)else:t_3D_good.append(TIME[i])val_3D_good.append(50)xxtime = [dateutil.parser.parse(s) for s in t_3D_bad] s_bad = pylab.date2num(xxtime) xxtime = [dateutil.parser.parse(s) for s in t_3D_good] s_good = pylab.date2num(xxtime) ax.plot_date(s_good,val_3D_good , marker='o', linestyle='',color='green', alpha=0.5,label='3D headside('+str(len(s_good))+')')ax.plot_date(s_bad ,val_3D_bad , marker='s', linestyle='',color='red', alpha=0.5,label='3D lateral('+str(len(s_bad))+')')ax.set_ylabel('HU in percent', size='x-small')ax.set_xlabel('Time', size='x-small') ax.grid(True)ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n%H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)ax.set_xlim(prev_xlims_min,prev_xlims_max)ax.set_ylim(0,max(60,max(all_HU)+10))#ax.legend(loc='upper right', borderaxespad=0.,numpoints=1, handlelength=0 ) #bbox_to_anchor=(1.0001, 0), leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize='x-small')plt.title('HU vs time / 3D Events',fontsize='small') #------------------ #fig.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=1.3)##Tube SNsfig.text(0.85, 0.95,"Tubes", fontweight='bold', fontsize=8)offset=1old_SN='n.a.'for (date,SN,BE) in self.TubeSerialNumList:if SN!=old_SN:fig.text(0.85, 0.95-offset*0.01,date+' : '+SN, fontsize=8)old_SN=SNoffset+=1fig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part18'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(TIME))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(fromDate)+' End: '+str(toDate)+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr, horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if(self.cb_EnvLog.GetValue()):if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p3.png')plt.close() #### page 4####if self.cb_enh_env.GetValue():fig = plt.figure(figsize=(14,19))i=1filled_params=[]for key in self.env_params.keys():if len(self.env_timestamp[key])>0:filled_params.append(key)numkeys=len(filled_params) for key in filled_params:ax = fig.add_subplot(numkeys,1,i)label_tmp=str(key).replace('plane',self.plane).replace('(','').replace(')','').replace(',','\n')+'/['+self.env_params[key]+']'ax.plot_date(self.env_timestamp[key], self.env_val[key], marker=None, linestyle='-',linewidth=1,color='blue',label=label_tmp)try:ax.set_xlim(prev_xlims_min,prev_xlims_max)if i<numkeys: ax.set_xticklabels([]) else:ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d.%m.%Y\n%H:%M'))labels = ax.get_xticklabels()setp(labels, rotation=90, fontsize=8)ax.grid(True)plt.rcParams.update({'font.size': 6})ax.legend(bbox_to_anchor=(1.0001, 1), loc=2, borderaxespad=0.,numpoints=1, handlelength=0 )leg = plt.gca().get_legend()ltext = leg.get_texts() # all the text.Text instance in the legendplt.setp(ltext, fontsize=7)start, stop = ax.get_ylim()num_ticks=3yres=(stop-start)/num_ticksticks = np.round(np.arange(start, stop + yres, yres),1)ax.set_yticks(ticks)i+=1except:Truefig.text(0.5, 0.98,'XA'+str(self.myXEvent.SN)+' part18'+' Radiation events on plane '+str(self.plane)+':'+' '+str(len(TIME))+' ('+str(len(total_events))+' total)'+' Days: '+str(day_total)+' Start: '+str(fromDate)+' End: '+str(toDate)+'\n System SW:'+self.myXEvent.SW[-1][0]+' Tube Serial Number:'+self.TubeSerialNum+' Tube Part Number:'+self.MatrNr, horizontalalignment='center', verticalalignment='center')self.label_4 = wx.StaticText(self, -1, "", pos=(100,self.GetSize().GetHeight()-55))fig.text(0.5, 0.02,bottomlinestr+EAversion, horizontalalignment='center', verticalalignment='center',fontsize=10)if(self.cb_EnvLog.GetValue()):if (self.cb_png.GetValue()==False):pdf.savefig(fig)else:plt.savefig(name[:-3]+'_p4.png')plt.close() if (self.cb_png.GetValue()==False):pdf.close() # end of class MyFrame
############################################################################################################################### def parseXMLTubeProm(numFoken, tubeprom_filename):if numFoken==3:foken=('small','large','micro')else:foken=('small','large')try:tree=etree.parse(tubeprom_filename)except:return False#durchgriffstabellexrayVoltage={}maxCurrAcq={}maxCurrFluoro={}focusDepending = tree.getroot().find("Common").find("FocusDepending")for focusType in foken: for child in focusDepending.iterchildren():if (focusType == child.get("FocusType")):node_type = child.find("FocusTableData").find("MaxPowerTable")xrayVoltage_temp = node_type.find("XrayVoltage").text.split()maxCurrAcq_temp = node_type.find("MaxCurrAcq").text.split()maxCurrFluoro_temp = node_type.find("MaxCurrFluoro").text.split()xrayVoltage[focusType] = [int(x) for x in xrayVoltage_temp]maxCurrAcq[focusType] = [int(x) for x in maxCurrAcq_temp]maxCurrFluoro[focusType] = [int(x) for x in maxCurrFluoro_temp]#serienbelastungstabelle myDutyCycle= []mySceneTime = []SerialLoadTable={}SerialLoadTable200={}for focusType in foken: mySceneTime=[]for child in focusDepending.iterchildren():if (focusType == child.get("FocusType")):node_type = child.find("FocusTableData").find("SerialLoadTable")temp = node_type.find("DutyCycle").text.split()myDutyCycle=[] for dc in temp:myDutyCycle.append(int(dc))node_elements = node_type.findall("element")dimX = int(myDutyCycle[-1]) + 1 #value of array dimY = int(node_elements[-1].get("SceneTime")) + 1 #value of arraymySerialLoadTable = numpy.zeros( (dimY, dimX) )i = 0for element in node_elements:SceneTime = element.get("SceneTime")data = element.get("data").split()mySceneTime.append(int(SceneTime))i = i+1 for cycle, item in zip(myDutyCycle, data):mySerialLoadTable[int(SceneTime)][int(cycle)] = int(item)SerialLoadTable[focusType]=mySerialLoadTable#const load PulseDuration={}ConstantLoad={}for focusType in foken: for child in focusDepending.iterchildren():if (focusType == child.get("FocusType")):node_type = child.find("FocusTableData").find("ConstantLoadTable")PulseDuration_temp = node_type.find("PulseDuration").text.split()ConstantLoad_temp = node_type.find("ConstantLoad").text.split()PulseDuration[focusType] = [int(x) for x in PulseDuration_temp]ConstantLoad[focusType] = [int(x) for x in ConstantLoad_temp]if numFoken==3:mySerialLoadTable = numpy.zeros( (dimY, dimX) ) SerialLoadTable200['small']= mySerialLoadTableSerialLoadTable200['large']= mySerialLoadTableSerialLoadTable200['micro']= mySerialLoadTableelse: #2F GigalixmySerialLoadTable = numpy.zeros( (dimY, dimX) ) SerialLoadTable200['small']= mySerialLoadTableSerialLoadTable200['large']= mySerialLoadTablereturn (SerialLoadTable200,SerialLoadTable,myDutyCycle,mySceneTime,PulseDuration,ConstantLoad,xrayVoltage,maxCurrAcq,maxCurrFluoro)######def parseXMLTubeProm_special(numFoken, spec_tubeprom_filename):if numFoken==3:foken=('small','large','micro')else:foken=('small','large')kVs={} tube_currents={} heat_current={}try:tree=etree.parse(spec_tubeprom_filename)except:print 'Error reading tube prom '+spec_tubeprom_filenamereturn 'False'focusDepending = tree.getroot().find("TubeSpecific").find("FocusDepending")for focusType in foken: tube_currents[focusType]=[]heat_current[focusType]=[]for child in focusDepending.iterchildren():if (focusType == child.get("FocusType")):node_type = child.find("EmissionTable")temp_v=node_type.find('XrayVoltage').text.split()kVs[focusType]=[int(x) for x in temp_v]for child2 in node_type.iterchildren():try:tube_currents[focusType].append(int(child2.get('XrayCurrent')))cur_data=child2.get('data').split()heat_current[focusType].append([int(x) for x in cur_data])except:Truereturn (kVs,tube_currents,heat_current)###############################################################def analyze_examsets(lines):debug=0lines=lines.split('\n')num_acq=0num_fl=0num_rm=0num_alt=0ACQ_set={}acq_idx={}FL_set={}fl_idx={}RM_set={}rm_idx={}ALT_set={}alt_idx={}ACQ=FalseFL=FalseRM=FalseALT=FalseOGP_END=Falseacq_params=[]fl_params=[]rm_params=[]alt_params=[]ogp_diff={}rx = re.compile('([\t]+)')# ^^ fill in the characters here."""csv_fp=open(examset_filename,'r') csv_data = csv.reader(csv_fp, delimiter='\t')for line in csv_data:print line"""line=u''for k in range(len(lines)):line=lines[k].lstrip()line=line.replace(u'\xb5','_')#print k, lineif len(line)>0:if line[:7]=='ACQUIRE' and ACQ==False:#print k, lineogp_cluster=re.sub(r"(\t+)", r"\t", lines[k-1].strip()).split('\t')line=re.sub(r"\t\t(\t+)", r"\t\t", line)t1= line[8:].strip().split('\t\t')for i,t in enumerate(t1):#print i, ts1=t.strip().split('\t')for j,s in enumerate(s1): dat2=re.search(r'(.+)\s*(\(\d+,\d+\))',s.strip())#print stry:acq_name=dat2.group(1).strip()except:acq_name='n a' if acq_name in ACQ_set.keys():ACQ_set[acq_name,'exists']+=1else:ACQ_set[acq_name,'exists']=1ACQ_set[acq_name]={}acq_idx[num_acq]=acq_namenum_acq+=1ACQ=True OGP_substart=[] OGP_subend=[] OGP_idx={}num_acq=0idx=0 line=lines[k+1].lstrip()t1= line.strip().split('\t\t')opg_param=t1[0].strip()l1=line.split('\t')for i in range(2,len(l1)):if l1[i-1]=='' and l1[i]!='' and l1[i]!='\n' and l1[i]!='\r':OGP_substart.append(i)try: if l1[i-1]!='' and (l1[i]=='' or l1[i]=='\n' or l1[i]=='\r'):OGP_subend.append(i)#print l1[OGP_substart[-1]:OGP_subend[-1]]except:Truefor j in range(len(OGP_substart)):if debug:print ogp_cluster[j]sets=l1[OGP_substart[j]:OGP_subend[j]]ACQ_set[acq_idx[num_acq]]={}for set_i in sets:if debug:print acq_idx[num_acq],opg_param, set_i(ACQ_set[acq_idx[num_acq]])[opg_param]=set_inum_acq+=1if ACQ==True and line.strip()[0]=='(': ACQ=Falseif ACQ==True and line.strip()[0:3]!='E X': if line.find('phase: fps / sec / Wait')>-1:continueoffset=0num_acq=0line=lines[k].lstrip()l1= ['']+line.split('\t')opg_param=l1[1].strip().replace('[S]','').replace('[--]','').replace(u'\xb5','_').replace(u'\xe5','e').replace(u'\xe9','e')#print opg_paramv=0acq_params.append(opg_param)for j in range(len(OGP_substart)):sets=l1[OGP_substart[j]-offset:OGP_subend[j]-offset]for set_i in sets:#print opg_param, set_iset_i=set_i.replace('[S]','').replace('[--]','')if opg_param == 'Focus' and set_i not in ['s','L']:set_i='m' #Unicode Problemsif opg_param in ['3D Start Position' , '3D Angle', '3D Angle Step']:set_i=re.search(r'([0-9\.]+|)',set_i).group(1)if ACQ_set[acq_idx[v],'exists']>1:w=[u for u in acq_idx.keys() if acq_idx[u]==acq_idx[v]][0] #get index of first OGPif v>w and (ACQ_set[acq_idx[w]])[opg_param]!=set_i: #compare actual OGP param with param of first OGP ogp_diff[acq_idx[v],opg_param]=True(ACQ_set[acq_idx[v]])[opg_param]=set_iv+=1#Fluoroif line[:6]=='FLUORO' and FL==False:#print lineogp_cluster=re.sub(r"(\t+)", r"\t", lines[k-1].strip()).split('\t')line=re.sub(r"\t\t(\t+)", r"\t\t", line)t1= line[8:].strip().split('\t\t')for i,t in enumerate(t1):#print i, ts1=t.strip().split('\t')for j,s in enumerate(s1): dat2=re.search(r'(.+)\s*(\(\d+,\d+\))',s.strip())try:fl_name=dat2.group(1).strip()except:fl_name='n a' if fl_name in FL_set.keys():FL_set[fl_name,'exists']+=1else:FL_set[fl_name,'exists']=1FL_set[fl_name]={}fl_idx[num_fl]=fl_namenum_fl+=1FL=True OGP_substart=[] OGP_subend=[] OGP_idx={}num_fl=0idx=0 line=lines[k+1].lstrip()t1= line.strip().split('\t\t')opg_param=t1[0].strip()l1=line.split('\t')for i in range(2,len(l1)):if l1[i-1]=='' and l1[i]!='' and l1[i]!='\n' and l1[i]!='\r':OGP_substart.append(i)try: if l1[i-1]!='' and (l1[i]=='' or l1[i]=='\n' or l1[i]=='\r'):OGP_subend.append(i)#print l1[OGP_substart[-1]:OGP_subend[-1]]except:Truefor j in range(len(OGP_substart)):sets=l1[OGP_substart[j]-offset:OGP_subend[j]-offset]FL_set[fl_idx[num_fl]]={}if debug: print ogp_cluster[j] for set_i in sets:if debug:print num_fl,fl_idx[num_fl],opg_param, set_i(FL_set[fl_idx[num_fl]])[opg_param]=set_inum_fl+=1if FL==True and line.strip()[0]=='(': FL=False if FL==True and line.strip()[0:3]!='E X': #print k, lineif line.find('phase: fps / sec / Wait')>-1:continueline=lines[k].lstrip()l1= ['']+line.split('\t')opg_param=l1[1].strip().replace('[S]','').replace('[--]','').replace(u'\xb5','_').replace(u'\xe5','e').replace(u'\xe9','e')v=0 fl_params.append(opg_param)for j in range(len(OGP_substart)):sets=l1[OGP_substart[j]-offset:OGP_subend[j]-offset]for set_i in sets:set_i=set_i.replace('[S]','').replace('[--]','')if opg_param == 'Focus' and set_i not in ['s','L']:set_i='m' #Unicode Problemsif FL_set[fl_idx[v],'exists']>1:w=[u for u in fl_idx.keys() if fl_idx[u]==fl_idx[v]][0] #get index of first OGPif v>w and (FL_set[fl_idx[w]])[opg_param]!=set_i: #compare actual OGP param with param of first OGP ogp_diff[fl_idx[v],opg_param]=True(FL_set[fl_idx[v]])[opg_param]=set_iv+=1#Roadmapif line[:7]=='ROADMAP' and RM==False:ogp_cluster=re.sub(r"(\t+)", r"\t", lines[k-1].strip()).split('\t')line=re.sub(r"\t\t(\t+)", r"\t\t", line)t1= line[8:].strip().split('\t\t')for i,t in enumerate(t1):#print i, ts1=t.strip().split('\t')for j,s in enumerate(s1): dat2=re.search(r'(.+)\s*(\(\d+,\d+\))',s.strip())try:rm_name=dat2.group(1).strip()except:rm_name='n a' if rm_name in RM_set.keys():RM_set[rm_name,'exists']+=1else:RM_set[rm_name,'exists']=1RM_set[rm_name]={}rm_idx[num_rm]=rm_namenum_rm+=1RM=True OGP_substart=[] OGP_subend=[] OGP_idx={}num_rm=0idx=0 line=lines[k+1].lstrip()t1= line.strip().split('\t\t')opg_param=t1[0].strip()#print opg_paraml1=line.split('\t')for i in range(2,len(l1)):if l1[i-1]=='' and l1[i]!='' and l1[i]!='\n' and l1[i]!='\r':OGP_substart.append(i)try: if l1[i-1]!='' and (l1[i]=='' or l1[i]=='\n' or l1[i]=='\r'):OGP_subend.append(i)#print l1[OGP_substart[-1]:OGP_subend[-1]]except:Truefor j in range(len(OGP_substart)):if debug: print ogp_cluster[j]sets=l1[OGP_substart[j]:OGP_subend[j]]RM_set[rm_idx[num_rm]]={}for set_i in sets:if debug:print rm_idx[num_rm],opg_param, set_i(RM_set[rm_idx[num_rm]])[opg_param]=set_inum_rm+=1if RM==True and line.strip()[0]=='(': RM=False if RM==True and line.strip()[0:3]!='E X': #print k,lineif line.find('phase: fps / sec / Wait')>-1:continueline=lines[k].lstrip()l1= ['']+line.split('\t')opg_param=l1[1].strip().replace('[S]','').replace('[--]','').replace(u'\xb5','_').replace(u'\xe5','e').replace(u'\xe9','e')#print opg_paramv=0rm_params.append(opg_param)for j in range(len(OGP_substart)):sets=l1[OGP_substart[j]:OGP_subend[j]]for set_i in sets:set_i=set_i.replace('[S]','').replace('[--]','')if opg_param == 'Focus' and set_i not in ['s','L']:set_i='m' #Unicode Problemsif RM_set[rm_idx[v],'exists']>1:w=[u for u in rm_idx.keys() if rm_idx[u]==rm_idx[v]][0] #get index of first OGPif v>w and (RM_set[rm_idx[w]])[opg_param]!=set_i: #compare actual OGP param with param of first OGP ogp_diff[rm_idx[v],opg_param]=True(RM_set[rm_idx[v]])[opg_param]=set_iv+=1#Alternative Acquisitionif line[:7]=='ALT-ACQ' and ALT==False:ogp_cluster=re.sub(r"(\t+)", r"\t", lines[k-1].strip()).split('\t')line=re.sub(r"\t\t(\t+)", r"\t\t", line)t1= line[8:].strip().split('\t\t')for i,t in enumerate(t1):#print i, ts1=t.strip().split('\t')for j,s in enumerate(s1): dat2=re.search(r'(.+)\s*(\(\d+,\d+\))',s.strip())try:alt_name=dat2.group(1).strip()except:alt_name='n a' if alt_name in ALT_set.keys():ALT_set[alt_name,'exists']+=1else:ALT_set[alt_name,'exists']=1ALT_set[alt_name]={}alt_idx[num_alt]=alt_namenum_alt+=1ALT=True OGP_substart=[] OGP_subend=[] OGP_idx={}num_alt=0idx=0 line=lines[k+1].lstrip()t1= line.strip().split('\t\t')opg_param=t1[0].strip()#print opg_paraml1=line.split('\t')for i in range(2,len(l1)):if l1[i-1]=='' and l1[i]!='' and l1[i]!='\n' and l1[i]!='\r':OGP_substart.append(i)try: if l1[i-1]!='' and (l1[i]=='' or l1[i]=='\n' or l1[i]=='\r'):OGP_subend.append(i)#print l1[OGP_substart[-1]:OGP_subend[-1]]except:Truefor j in range(len(OGP_substart)):if debug:print ogp_cluster[j]sets=l1[OGP_substart[j]:OGP_subend[j]]ALT_set[alt_idx[num_alt]]={}for set_i in sets:if debug:print alt_idx[num_alt],opg_param, set_i(ALT_set[alt_idx[num_alt]])[opg_param]=set_inum_alt+=1if ALT==True and line.strip()[0]=='(': ALT=False if ALT==True and line.strip()[0:3]!='E X': if line.find('phase: fps / sec / Wait')>-1:continueline=lines[k].lstrip()l1= ['']+line.split('\t')opg_param=l1[1].strip().replace('[S]','').replace('[--]','').replace(u'\xb5','_').replace(u'\xe5','e').replace(u'\xe9','e')#print opg_paramv=0alt_params.append(opg_param)for j in range(len(OGP_substart)):sets=l1[OGP_substart[j]:OGP_subend[j]]for set_i in sets:set_i=set_i.replace('[S]','').replace('[--]','')if opg_param == 'Focus' and set_i not in ['s','L']:set_i='m' #Unicode Problemsif ALT_set[alt_idx[v],'exists']>1:w=[u for u in alt_idx.keys() if alt_idx[u]==alt_idx[v]][0] #get index of first OGPif v>w and (ALT_set[alt_idx[w]])[opg_param]!=set_i: #compare actual OGP param with param of first OGP ogp_diff[alt_idx[v],opg_param]=True(ALT_set[alt_idx[v]])[opg_param]=set_iv+=1return (ACQ_set,FL_set,RM_set,ALT_set,acq_params,fl_params,rm_params,alt_params,ogp_diff,acq_idx,fl_idx,rm_idx,alt_idx)#--------------------------------------------------------------try:1#from EA_IC import *
except:print "skipping import"if __name__ == "__main__":if len(sys.argv)>1:print "x: " + str(sys.argv[1])app = wx.PySimpleApp(0)wx.InitAllImageHandlers()frame_1 = MyFrame(None, -1, "",params=sys.argv[1])app.SetTopWindow(frame_1)app.MainLoop()else:app = wx.PySimpleApp(0)wx.InitAllImageHandlers()frame_1 = MyFrame(None, -1, "",params=None)app.SetTopWindow(frame_1)frame_1.Show()app.MainLoop()
###########################################################ENF####################################################################"""todos VD10W 19-Nov-14 14:06:29 44288 AX_PUD <I>Info_AD00_Adjust_Info </I>Time: 19.11.2014, 14:06:29, Process: C:\AXIOM\Service\bin\Rep.exe_2132,Text: (19.11.2014 14:06:29) ANG-B SET: [0xAD00]PL A100G (SW:VG03Q; HW:VG01C): TubAdj VD00A Giga 125/40/86 W 08-Sep-14 08:01:52 2121 AX_ACU <I>LOG, Injection control: 1 </I>Time: 8.9.2014, 08:01:52, Process: C:\AXIOM\Service\bin\Rep.exe_2140,Text: (08.09.2014 08:01:52) ACU-B SET: [00198]CAcuInjectorIoAccess,84|Injector started, ULI: 2
W 08-Sep-14 08:01:52 2121 AX_ACU <I>LOG, Injection control: 2 </I>Time: 8.9.2014, 08:01:52, Process: C:\AXIOM\Service\bin\Rep.exe_2140,Text: (08.09.2014 08:01:52) ACU-A SET: [00212]CAcuInjectorControlXrayRel,116|X-ray enabled by injector, I 19-Jun-14 08:18:01 1221 AX_SCU <I>ULI 1: EMERGENCY BUTTON ACTIVE </I>Time: 19.6.2014, 08:18:01, Process: C:\AXIOM\Service\bin\Rep.exe_628,Text: (19.06.2014 08:18:02) SCU SET: [01221]ULI 1 Emergency button is active|0,no src W 18-Jun-14 12:32:40 0 AX_SCU <I>LOG </I>Time: 18.6.2014, 12:32:40, Process: C:\AXIOM\Service\bin\Rep.exe_1404,Text: (18.06.2014 12:32:37) SCU RESET: [00200]No Longer Reduce Speed out of Table range|377,ParkingController.cppW 18-Jun-14 12:32:42 419 AX_SCU <I>Collision with wall </I>Time: 18.6.2014, 12:32:42, Process: C:\AXIOM\Service\bin\Rep.exe_1404,Text: (18.06.2014 12:32:39) SCU SET: [00419]units 43 114|0,no src"""log analysis Werzeug aus Deutschland Dr相关推荐
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