From 7f67736f4e20ae19278d2fea64523f3599252a1f Mon Sep 17 00:00:00 2001
From: Ute Becker <ute.becker@ptb.de>
Date: Tue, 30 Apr 2024 14:57:05 +0200
Subject: [PATCH] =?UTF-8?q?Die=20Werte=20aus=20dem=20Messprogramm=20TL1=20?=
=?UTF-8?q?werden=20in=20das=20cal-dokument=20=C3=BCbertragen?=
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---
file-to-couchdb_tl1.py | 688 +++++++++++++++++++++++++++++++++++++++++
1 file changed, 688 insertions(+)
create mode 100644 file-to-couchdb_tl1.py
diff --git a/file-to-couchdb_tl1.py b/file-to-couchdb_tl1.py
new file mode 100644
index 0000000..9912909
--- /dev/null
+++ b/file-to-couchdb_tl1.py
@@ -0,0 +1,688 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jul 1 12:12:37 2022
+
+@author: becker07
+"""
+import sys
+import numpy as np
+import couchdb
+import pandas as pd
+import json
+import csv
+import re
+from matplotlib import pyplot as plt
+import pathlib
+
+try:
+ from configparser import ConfigParser
+except ImportError:
+ from ConfigParser import ConfigParser # ver. < 3.0
+
+
+configtl = ConfigParser()
+ini_values = ConfigParser()
+# parse existing file
+configtl.read('tl.ini')
+ini_values.read('inputs.ini')
+
+server=configtl.get('couch', 'couch')
+db_vl=configtl.get('couch', 'db')
+
+couch = couchdb.Server(server)
+db = couch[db_vl] # existing
+
+
+## Eingabe von:
+# - Kalibrierscheinnummer
+# - Jahr der Kalibrierung
+# - laufende Nummer der Kalibrierung
+
+path=configtl.get('path', 'path_files')
+
+
+
+cal_cert = ini_values.get('input_cer', 'cal_cert')
+year = ini_values.get('input_gen', 'year')
+no = ini_values.get('input_gen', 'no')
+QMS="ja" ######### ja beim Scan
+kk_ik_pn= "kk" ######## kk,ik oder pn
+
+
+
+json_file = "cal-" + year + "-fm1-kk-" + cal_cert + "_" + no
+doc = db.get(json_file)
+print(json_file)
+
+#path='C:\\Users\\becker07\\python\\TL1\\'
+
+dateiTab = path + cal_cert + "_" + no
+#dateiTab='C:\\Users\\becker07\\python\\TL1\\75561'
+print(dateiTab)
+
+
+dateiTab=pd.read_csv(dateiTab, sep="\t", decimal = ',' )
+
+L_ar=dateiTab["C "]
+print('Leitwert j= 1, nein = 0 :: ', L_ar)
+
+L=L_ar[0]
+print('Leitwert : ',L)
+
+
+gauge = float(doc["Calibration"]["CustomerObject"]["Setup"]["CDG"])
+print(gauge)
+
+fileQMS = path + "QMS" + cal_cert + "_" + no + ".txt"
+dateiQMS =fileQMS
+ScanQMS= path + "Scan"+ cal_cert + "_" + no+ ".txt"
+ScanOffsQMS= path + "ScanOffs"+cal_cert + "_" + no+ ".txt"
+print(ScanQMS)
+
+# Die Daten aus dem File mit der entsprechenden Kalibrierscheinnummer werden eingelesen:
+# datum, time, p_up und alle Temperaturen,
+
+
+#datei = "N:\Abt_7\Fb75\Vakuum\Messplaetze\TL1\Kalibrierungen\\22\\TP7464.txt"
+
+if L == 1 :
+
+
+ m1=dateiTab["m1"]
+ m2=dateiTab["m2"]
+ m3=dateiTab["m3"]
+ m4=dateiTab["m4"]
+
+ t1=dateiTab["t1"]
+ t2=dateiTab["t2"]
+ t3=dateiTab["t3"]
+ t4=dateiTab["t4"]
+ time1=dateiTab["time1"]
+ time2=dateiTab["time2"]
+ time3=dateiTab["time3"]
+
+ pmean=dateiTab["p-mean"]*100
+ pmin=dateiTab["p-min"]*100
+ pmax=dateiTab["p-max"]*100
+
+
+ h=dateiTab["distance"]
+
+
+ print("Constantes Volumen",h)
+
+
+
+else:
+ print("Constanter Leitwert")
+
+
+datum=dateiTab["Datum"]
+time=dateiTab["Zeit"]
+gas=dateiTab["Gasart"]
+
+if gauge== 0.01 :
+ p_offs_01=dateiTab["p-offset"]*100
+ p_fill_01=dateiTab["p-fill "]*100
+ p_fill_srg=dateiTab["p-max"]
+ p_offs_srg=dateiTab["p-min"]
+
+else :
+ p_offs=dateiTab["p-offset"]*100
+ p_fill=dateiTab["p-fill "]*100
+#p_fill=np.genfromtxt(dateiTab,skip_header=1,delimiter='\t',usecols=(5))
+
+p_ig=dateiTab["Kommentar"]
+T_room=dateiTab["T-Raum"]
+T_fm=dateiTab["T-FM"]
+T_tl1=dateiTab["T-TL1"]
+T_tl2=dateiTab["T-TL2"]
+T_tl3=dateiTab["T-TL3"]
+T_tl4=dateiTab["T-TL4"]
+
+#print(T_fm,T_room,T_tl1, T_tl2,T_tl3,T_tl4)
+
+
+I_TL_time=dateiTab["Time-TL"]
+I_Offs_time=dateiTab["Time-offset"]
+I_FM_time=dateiTab["Time-FM"]
+
+#print(I_TL_time,I_Offs_time,I_FM_time)
+
+Valve=dateiTab["Ventil"]
+
+
+if QMS == "ja" :
+ I_TL_time=dateiTab["Time-TL"]
+ I_Offs_time=dateiTab["Time-offset"]
+ I_FM_time=dateiTab["Time-FM"]
+
+ #print(I_TL_time,I_Offs_time,I_FM_time)
+
+
+####################### Der Scan des QMS ##############################################################################
+
+
+
+############## die leeren Zeilen und Überschriften werden gelöscht ###################
+
+ with open(ScanQMS, "r") as fp:
+ tab=fp.read()
+
+ with open('ScanQMS.txt', 'w') as fp:
+ fp.write(tab)
+
+ with open(ScanOffsQMS, "r") as fp:
+ tab=fp.read()
+
+ with open('ScanOffsQMS.txt', 'w') as fp:
+ fp.write(tab)
+
+
+ del_def = []
+ with open('ScanQMS.txt', "r") as fp:
+ del_def = fp.readlines()
+ with open('ScanQMS.txt', "w") as fp:
+ for number, line in enumerate(del_def):
+ if number not in [0, 1,6,7,22,23,24,25,47,48]:
+ fp.write(line)
+
+ del_def = []
+ with open('ScanOffsQMS.txt', "r") as fp:
+ del_def = fp.readlines()
+ with open('ScanOffsQMS.txt', "w") as fp:
+ for number, line in enumerate(del_def):
+ if number not in [0, 1,6,7,22,23,24,25,47,48]:
+ fp.write(line)
+
+
+
+
+########### Scan #####################
+
+ with open('ScanQMS.txt','r') as file:
+ tab=file.read()
+ lstdef=tab.rfind("Channel count")+16
+ lsttab=tab.rfind("Scan Data (Pressures in mbar)")+32
+ filetab=tab[lsttab:] ### Das File wird getrennt und die Tabelle mit den Messwerten in das filetab übergeben
+ filedef=tab[:lstdef] ### Das File wird getrennt und die Einstellungen und Infos in filedef übergeben
+
+
+ with open('QMS-Def.txt', 'w') as f:
+ f.write(filedef)
+
+
+ df_tab = pd.read_csv("QMS-Def.txt",
+ sep="\t",
+ #usecols=["Time"]
+ header=None,
+ )
+
+ def_key=np.array(df_tab[0])
+ l=len(def_key)
+ print(l)
+ #def_key=np.delete(def_key, l-1)
+ def_value=np.array(df_tab[1], dtype=str)
+ #def_value=np.delete(def_value, l-1)
+
+
+
+ with open('QMS-Scan.txt', 'w') as f:
+ f.write(filetab)
+ df = pd.read_csv("QMS-Scan.txt",
+ sep="\t",
+ #usecols=["Time"]
+ header=None,
+ )
+ df=df.replace(np.nan, 0)
+
+
+ l=len(df)
+
+ print(l)
+
+ mass_no=np.array(df[0:1])
+ mass_unit=mass_no[0]
+
+
+
+
+ if l == 3:
+ mass_value=np.array(df[1:2])
+ mass_value=mass_value[0]
+ print(mass_value())
+ else:
+ mass_value=np.array(df[l-2:l-1])
+ mass_value=mass_value[0]
+
+
+
+#############################################################################################################
+########### Scan Offset #####################
+
+ with open('ScanOffsQMS.txt','r') as file:
+ tab_offs=file.read()
+ lstdef_offs=tab_offs.rfind("Channel count")+16
+ lsttab_offs=tab_offs.rfind("Scan Data (Pressures in mbar)")+32
+ filetab_offs=tab_offs[lsttab_offs:] ### Das File wird getrennt und die Tabelle mit den Messwerten in das filetab übergeben
+ filedef_offs=tab_offs[:lstdef_offs] ### Das File wird getrennt und die Einstellungen und Infos in filedef übergeben
+
+
+ with open('QMS_Offs-Def.txt', 'w') as f:
+ f.write(filedef_offs)
+
+
+ df_tab_offs = pd.read_csv("QMS_Offs-Def.txt",
+ sep="\t",
+ #usecols=["Time"]
+ header=None,
+ )
+
+ def_key_offs=np.array(df_tab_offs[0])
+ l=len(def_key_offs)
+ def_value_offs=np.array(df_tab_offs[1], dtype=str)
+ #def_value=np.delete(def_value, l-1)
+
+
+
+ with open('QMS_Offs-Scan.txt', 'w') as f:
+ f.write(filetab_offs)
+ df_offs = pd.read_csv("QMS_Offs-Scan.txt",
+ sep="\t",
+ #usecols=["Time"]
+ header=None,
+ )
+ df_offs=df_offs.replace(np.nan, 0)
+
+
+ l=len(df_offs)
+
+ print(l)
+
+
+
+ if l == 3:
+ mass_value_offs=np.array(df_offs[1:2])
+ mass_value_off=mass_value_offs[0]
+ print(mass_value_offs())
+ else:
+ mass_value_offs=np.array(df_offs[l-2:l-1])
+ mass_value_off=mass_value_offs[0]
+
+
+#############################################################################################################
+
+###################### Plot der Scans werden abgebildet und den json-dokument hinzugefügt #####################
+I_Scan=np.float64(mass_value[2:-2])
+I_Scan_Offs=np.float64(mass_value_off[2:-2])
+Mass_Scan=mass_no[0]
+Mass_Scan=Mass_Scan[2:-2]
+
+for i in range(len(Mass_Scan)):
+ Mass_Scan[i] = re.sub(r"Mass ", "", Mass_Scan[i]).strip()
+
+
+Mass_Scan=np.float64(Mass_Scan)
+
+fig=plt.figure()
+ax=fig.add_axes([0,0,4,2])
+ax.set_xlabel('Masse')
+ax.set_ylabel('QMS-Signal')
+ax.set_yscale('log')
+#plt.plot(1010,4.65e-10, 'bo')
+plt.plot(Mass_Scan,I_Scan, label=r'Floww')
+plt.plot(Mass_Scan,I_Scan_Offs,label=r'Offset' )
+plt.legend()
+
+
+plt.grid()
+
+fig.savefig("Scan.pdf", bbox_inches='tight')
+
+
+
+#############################################################################################################
+
+from collections import OrderedDict
+
+def getMassAverage(filename, tbegin = None, tend = None, trange = None):
+ def error_exit(x):
+ print('ERROR: ', str(x), file=sys.stderr)
+ sys.exit(1)
+ if not trange and (not tbegin or not tend):
+ error_exit('Missing time range')
+ try:
+ d = {}
+ with open(filename, 'r') as f:
+ line = f.readline()
+ dataValid = False
+ while line:
+ if dataValid:
+ # Ende der Daten
+ if line.startswith('"[Annotations/User Records'):
+ dataValid = False
+ else:
+ l = line.strip()
+ a = l.split('\t')# An Tabulatoren trennen
+ # a[0] = "Time", a[1] = "Scan", a[2] = "Mass 4", a[3] = "Sum Scanned Masses"
+ if a[0]:
+ key = a[0].strip('"')
+ # Timestamp als key für Dictionary
+ d[key] = a[2]
+ else:
+ # Beginn der Daten
+ if line.startswith('"Time"'):
+ dataValid = True
+ line = f.readline()
+ except:
+ error_exit("Can't read file: " + filename)
+ finally:
+ f.close()
+ # Sortieren bei neueren Python-Versionen unnötig?
+ data = OrderedDict(sorted(d.items()))
+
+ def doAverage(beg, end):
+ sum = 0.0
+ cnt = 0
+ for key in data:
+ if key >= beg and key < end:
+ #print(key, '-->', data[key])
+ cnt += 1
+ sum += float(data[key])
+ return sum / cnt
+
+ tb = []
+ te = []
+ res = []
+
+ if trange:
+ if not isinstance(trange,list):
+ trange = [trange]# Einzelwert zu Array machen
+ for x in trange:
+ a = x.split(' -')
+ tb.append(a[0].strip())
+ te.append(a[1].strip())
+ else:
+ if not isinstance(tbegin,list):
+ tb = [tbegin]# Einzelwert zu Array machen
+ if not isinstance(tend,list):
+ te = [tend]# Einzelwert zu Array machen
+
+ i = 0
+ while i < len(tb):
+ s = doAverage(tb[i], te[i])
+ res.append(s)
+ i += 1
+ if len(res) == 1:
+ return res[0]# Bei nur einem Wert: kein Array
+ else:
+ return res
+
+trangeArrayTL=list(I_TL_time)
+trangeArrayFM=list(I_FM_time)
+trangeArrayOff=list(I_Offs_time)
+
+xtrangeArray = [
+ '28.07.2022 09:19:19 -28.07.2022 09:21:18 '
+
+ ]
+#trangeArray = I_TL_time
+
+x1 = getMassAverage(filename=dateiQMS,trange=trangeArrayTL )
+i = 0
+while i < len(x1):
+ print(i, 'Mass Avarage: ', x1[i])
+ i += 1
+print(x1)
+
+x2 = getMassAverage(filename=dateiQMS,trange=trangeArrayFM )
+i = 0
+while i < len(x2):
+ print(i, 'Mass Avarage: ', x2[i])
+ i += 1
+print(x2)
+
+x3 = getMassAverage(filename=dateiQMS,trange=trangeArrayOff)
+i = 0
+while i < len(x3):
+ print(i, 'Mass Avarage: ', x3[i])
+ i += 1
+print(x3)
+I_TL=np.array(x1)
+I_FM=np.array(x2)
+I_Offs=np.array(x3)
+
+########################################################################################################################################
+
+
+# Temperatur
+lis_T_fm = T_fm.tolist()
+lis_T_room = T_room.tolist()
+lis_T_tl1 = T_tl1.tolist()
+lis_T_tl2 = T_tl2.tolist()
+lis_T_tl3 = T_tl3.tolist()
+lis_T_tl4 = T_tl4.tolist()
+
+
+# Druck
+
+if gauge == 0.01 :
+ lis_p_offs_01 = p_offs_01.tolist()
+ lis_p_fill_01 = p_fill_01.tolist()
+ lis_p_offs_srg = p_offs_srg.tolist()
+ lis_p_fill_srg = p_fill_srg.tolist()
+
+
+
+else:
+ lis_p_offs = p_offs.tolist()
+ lis_p_fill = p_fill.tolist()
+
+
+
+
+
+
+lis_p_ig = p_ig.tolist()
+# I-QMS
+lis_I_TL_time = I_TL_time.tolist()
+lis_I_Offs_time = I_Offs_time.tolist()
+lis_I_FM_time = I_FM_time.tolist()
+# I-QMS
+lis_I_TL = I_TL.tolist()
+lis_I_Offs = I_Offs.tolist()
+lis_I_FM = I_FM.tolist()
+# Datum
+# Datum
+lis_datum = datum.tolist()
+lis_time = time.tolist()
+
+# Ventil
+lis_valve = Valve.tolist()
+
+
+datum_meas = lis_datum[0:1]
+
+
+
+
+if L == 1 :
+ #Leitwert
+ lis_c = L_ar.tolist()
+
+ # Steigung SZ
+ lis_m1 = m1.tolist()
+ lis_m2 = m2.tolist()
+ lis_m3 = m3.tolist()
+ lis_m4 = m4.tolist()
+
+ # Zeitpunkte
+ lis_t1 = t1.tolist()
+ lis_t2 = t2.tolist()
+ lis_t3 = t3.tolist()
+ lis_t4 = t4.tolist()
+
+ # Zeit pro SZ
+ lis_time1 = time1.tolist()
+ lis_time2 = time2.tolist()
+ lis_time3 = time3.tolist()
+
+ # Druck der SZ
+ lis_pmean = pmean.tolist()
+ lis_pmin = pmin.tolist()
+ lis_pmax= pmax.tolist()
+
+ # Druck der SZ
+ lis_h = h.tolist()
+
+
+ doc["Calibration"]["Measurement"]["Values"]={"Temperature": [{"Unit": "C","Type": "T-FM","Comment":"Temperatur T ","Value": lis_T_fm},
+ {"Unit": "C","Type": "T-Room","Comment":"Temperatur T","Value": lis_T_room},
+ {"Unit": "C","Type": "T-TL1","Comment":"Temperatur T","Value": lis_T_tl1},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl2},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl3},
+ {"Unit": "C","Type": "T-TL3","Comment":"Temperatur T","Value": lis_T_tl4}],
+ "Pressure": [{"Unit": "Pa","Type": "Offset pressure","Value":lis_p_offs},
+ {"Unit": "Pa","Type": "pressure mean","Value":lis_p_fill},
+ {"Unit": "bar","Type": "TL1 pressure ","Value":lis_p_ig}],
+ "Date": [{"Unit": "year-month-day","Type": "Datum","Value":lis_datum},
+ {"Unit": "hh:mm:ss","Type": "Messzeit","Value":lis_time}],
+ "Valve": [{"Unit": "1","Type": "Connection", "Comment":"Connection of the leak" ,"Value":lis_valve}],
+ "Current": [{"Unit": "mbar","Type": "I-TL","Value": lis_I_TL},
+ {"Unit": "mbar","Type": "I-FM","Value": lis_I_FM},
+ {"Unit": "mbar","Type": "I-Offs","Value": lis_I_Offs}],
+
+ "CurrentTime": [{"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-TL","Value": lis_I_TL_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-FM","Value": lis_I_FM_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-Offs","Value": lis_I_Offs_time}]
+
+ }
+ doc["Calibration"]["Measurement"]["Date"]=[{"Type": "measurement","Value": datum_meas}]
+
+ doc["Calibration"]["Measurement"]["Values"]["Conductance"]={"t": [{"Unit": "s","Type": "t1","Comment":"Zeitpunkt t1 des 1.SZ","Value": lis_t1},
+ {"Unit": "s","Type": "t2","Comment":"Zeitpunkt t2 des 2.SZ","Value": lis_t2},
+ {"Unit": "s","Type": "t3","Comment":"Zeitpunkt t3 des 3.SZ","Value": lis_t3},
+ {"Unit": "s","Type": "t4","Comment":"Zeitpunkt t4 des 4.SZ","Value": lis_t4}],
+ "time": [{"Unit": "s","Type": "time1","Comment":"Zeit t2-t1 von SZ","Value": lis_time1},
+ {"Unit": "s","Type": "time2","Comment":"Zeit t3-t2 von SZ","Value": lis_time2},
+ {"Unit": "s","Type": "time3","Comment":"Zeit t4-t3 von SZ","Value": lis_time3}],
+ "m": [{"Unit": "Pa/s","Type": "m1","Comment":"Steigung m1 des 1.SZ","Value": lis_m1},
+ {"Unit": "Pa/s","Type": "m2","Comment":"Steigung m1 des 2.SZ","Value": lis_m2},
+ {"Unit": "Pa/s","Type": "m3","Comment":"Steigung m1 des 3.SZ","Value": lis_m3},
+ {"Unit": "Pa/s","Type": "m3","Comment":"Steigung m1 des 4.SZ","Value": lis_m3}],
+ "pressure": [{"Unit": "Pa","Type": "pmean","Comment":"Mittelwert von p","Value": lis_pmean},
+ {"Unit": "Pa","Type": "pmin","Comment":"p_min des SZ","Value": lis_pmin},
+ {"Unit": "Pa","Type": "pmax","Comment":"p_max des SZ","Value": lis_pmax}],
+ "l": [{"Unit": "mm","Type": "l","Comment":"Hub des Verdrängers","Value": lis_h}],
+ "C": [{"Unit": "m^3/s","Type": "Constanter Leitwert ","Value": lis_c}]
+
+ }
+
+
+
+
+
+ print("Constantes Volumen")
+
+
+
+else:
+
+ lis_c = L_ar.tolist()
+ if gauge == 0.01 :
+ doc["Calibration"]["Measurement"]["Values"]={"Temperature": [{"Unit": "C","Type": "T-FM ","Comment":"Temperatur T ","Value": lis_T_fm},
+ {"Unit": "C","Type": "T-Room","Comment":"Temperatur T","Value": lis_T_room},
+ {"Unit": "C","Type": "T-TL1","Comment":"Temperatur T","Value": lis_T_tl1},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl2},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl3},
+ {"Unit": "C","Type": "T-TL3","Comment":"Temperatur T","Value": lis_T_tl4}],
+ "Pressure": [{"Unit": "DCR","Type": "Offset pressure SRG","Value":lis_p_offs_srg},
+ {"Unit": "DCR","Type": "Fill pressure SRG ","Value":lis_p_fill_srg},
+ {"Unit": "Pa","Type": "Offset pressure 01Torr","Value":lis_p_offs_01},
+ {"Unit": "Pa","Type": "Fill pressure 01Torr","Value":lis_p_fill_01},
+ {"Unit": "mbar","Type": "TL1 pressure ","Value":lis_p_ig}],
+ "Date": [{"Unit": "year-month-day","Type": "Datum","Value":lis_datum},
+ {"Unit": "hh:mm:ss","Type": "Messzeit","Value":lis_time}],
+ "Valve": [{"Unit": "1","Type": "Connection", "Comment":"Connection of the leak" ,"Value":lis_valve}],
+ "Current": [{"Unit": "mbar","Type": "I-TL","Value": lis_I_TL},
+ {"Unit": "mbar","Type": "I-FM","Value": lis_I_FM},
+ {"Unit": "mbar","Type": "I-Offs","Value": lis_I_Offs}],
+
+ "CurrentTime": [{"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-TL","Value": lis_I_TL_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-FM","Value": lis_I_FM_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-Offs","Value": lis_I_Offs_time}]
+ }
+ print("SRG")
+
+ else:
+ doc["Calibration"]["Measurement"]["Values"]={"Temperature": [{"Unit": "C","Type": "T-FM","Comment":"Temperatur T ","Value": lis_T_fm},
+ {"Unit": "C","Type": "T-Room","Comment":"Temperatur T","Value": lis_T_room},
+ {"Unit": "C","Type": "T-TL1","Comment":"Temperatur T","Value": lis_T_tl1},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl2},
+ {"Unit": "C","Type": "T-TL2","Comment":"Temperatur T","Value":lis_T_tl3},
+ {"Unit": "C","Type": "T-TL3","Comment":"Temperatur T","Value": lis_T_tl4}],
+ "Pressure": [{"Unit": "Pa","Type": "Offset pressure","Value":lis_p_offs},
+ {"Unit": "Pa","Type": " pressure fill","Value":lis_p_fill},
+
+ {"Unit": "mbar","Type": "TL1 pressure","Value":lis_p_ig}],
+ "Date": [{"Unit": "year-month-day","Type": "Datum","Value":lis_datum},
+ {"Unit": "hh:mm:ss","Type": "Messzeit","Value":lis_time}],
+ "Valve": [{"Unit": "1","Type": "Connection", "Comment":"Connection of the leak" ,"Value":lis_valve}],
+ "Current": [{"Unit": "mbar","Type": "I-TL","Value": lis_I_TL},
+ {"Unit": "mbar","Type": "I-FM","Value": lis_I_FM},
+ {"Unit": "mbar","Type": "I-Offs","Value": lis_I_Offs}],
+
+ "CurrentTime": [{"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-TL","Value": lis_I_TL_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-FM","Value": lis_I_FM_time},
+ {"Unit": "dd.mm.yy hh:mm:ss -dd.mm.yy hh:mm:ss","Type": "I-Offs","Value": lis_I_Offs_time}]
+ }
+ doc["Calibration"]["Measurement"]["Values"]["Conductance"]={ "C": [{"Unit": "m^3/s","Type": "Constanter Leitwert","Value": lis_c}]}
+ print("Constanter Leitwert")
+
+
+
+
+
+
+
+doc["Calibration"]["Measurement"]["Date"]=[{"Type": "measurement","Value": datum_meas}]
+
+
+
+
+
+
+lis_mass_no = mass_no.tolist()[0]
+lis_mass_value = mass_value.tolist()
+lis_mass_value_offs = mass_value_offs.tolist()[0]
+
+
+
+
+key_value=dict(zip(def_key, def_value))
+key_value_offs=dict(zip(def_key_offs, def_value_offs))
+
+
+
+doc["Calibration"]["Measurement"]["AuxValues"]={"ScanQMS": [{"Unit": "Mass","Type": "QMS","Comment":"Masse ","Value":lis_mass_no},
+ {"Unit": "mbar","Type": "Current","Comment":"Wert / Masse","Value": lis_mass_value},
+ {"Unit": "mbar","Type": "Current Offset","Comment":"Wert / Masse","Value": lis_mass_value_offs}],
+ "DefQMS": [{"Type": "Scan QMS","Value":key_value},
+ {"Type": "Scan Offset QMS","Value": key_value_offs}]}
+
+
+#doc["Calibration"]["Measurement"]["AuxValues"]={"ScanQMS": [{"Unit": "Mass","Type": "QMS ","Comment":"Masse ","Value":lis_mass_no},
+# {"Unit": "mbar","Type": "Current","Comment":"Wert / Masse","Value": lis_mass_value},
+## {"Unit": "mbar","Type": "Current Offset","Comment":"Wert / Masse","Value": lis_mass_value_offs}],
+# "DefQMS": [{"Type": "Scan QMS ","Value":key_value},
+# {"Type": "Scan Offset QMS","Value": key_value_offs}]}
+
+#db.save(doc)
+
+content=pathlib.Path('Scan.pdf').read_bytes()
+
+db.put_attachment(doc, content, "Scan.pdf" , content_type="'application/pdf")
+
+
+
+
--
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