Auswerteprogramme TL1 und TL2

attachment_bur.py

+# -*- coding: utf-8 -*-
+"""
+Created on Tue Mar 19 15:11:54 2024
+
+@author: becker07
+"""
+
+import pathlib
+import os
+
+import couchdb 
+
+
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+
+########## Vorgangsnummer und Jahr angeben  #########
+vn = "10"
+year = "24"
+
+
+bur = "bur-7.5-1V-" + year + "-" + vn
+print(bur)
+
+doc = db.get(bur)
+
+sign = doc["Bureaucracy"]["Customer"]["Sign"]
+sign = sign.lower()
+
+
+########### Schedule Date finden  ##############
+
+n = 1000
+i = 0
+while i <= n:
+    date_type=doc["Bureaucracy"]["Date"][i]["Type"]
+    date=doc["Bureaucracy"]["Date"][i]["Value"]
+    if date_type == 'schedule':
+        i=n
+    i = i + 1
+print (date_type,date )
+i = 0
+
+
+##################################################################
+
+vn_np=float(vn)
+if vn_np < 100:
+    if vn_np < 10:
+        vn_str = '00'+ vn
+    else:
+        vn_str = '0'+ vn
+else:
+    vn_str =  vn
+
+print(vn_str)
+
+vs= 'shipping-' + sign + '-' + vn_str + '-' + date 
+dang= 'dangerousgoods-' + sign + '-' + vn_str + '-' + date 
+
+print(vs,dang)
+
+
+#dangerousgoods-alc-010-2024-01-22
+
+vs_pdf= vs + ".pdf"
+vs_tex= vs + ".tex"
+#print(cer_pdf, cer_tex)
+ship_pdf = "C:\\Users\\becker07\\ptb-latex\\versandauftrag\\" + vs_pdf
+ship_tex = "C:\\Users\\becker07\\ptb-latex\\versandauftrag\\" + vs_tex
+
+
+dg_pdf= dang + ".pdf"
+dg_tex= dang + ".tex"
+#print(cer_pdf, cer_tex)
+dang_pdf = "C:\\Users\\becker07\\ptb-latex\\gefahrgutformular\\" + dg_pdf
+dang_tex = "C:\\Users\\becker07\\ptb-latex\\gefahrgutformular\\" + dg_tex
+
+
+###################  Versand, Gefahrenstoffe werden an das bur-json-dokument angehangen ##################
+
+content_ship_pdf=pathlib.Path(ship_pdf).read_bytes() 
+content_ship_tex=pathlib.Path(ship_tex).read_bytes() 
+db.put_attachment(doc, content_ship_pdf, vs_pdf , content_type='application/pdf')
+db.put_attachment(doc, content_ship_tex, vs_tex , content_type='text/plain')
+
+content_dang_pdf=pathlib.Path(dang_pdf).read_bytes() 
+content_dang_tex=pathlib.Path(dang_tex).read_bytes() 
+db.put_attachment(doc, content_dang_pdf, dg_pdf , content_type='application/pdf')
+db.put_attachment(doc, content_dang_tex, dg_tex , content_type='text/plain')
+        
+
+    
+   
+###################  die Kalibrierscheine werden im Ordner Kalibrierscheine gelöscht ################## 
+   
+#cer_pdf= "ks-" +cers[i] + "-" + year + ".pdf"
+#cer_tex= "ks-" +cers[i] + "-" + year + ".tex"
+#cer_aux= "ks-" +cers[i] + "-" + year + ".aux"
+#cer_log= "ks-" +cers[i] + "-" + year + ".log"
+#cer_gz= "ks-" +cers[i] + "-" + year + ".synctex.gz"
+#print(cer_pdf, cer_tex)
+#ks_pdf = "C:\\Users\\becker07\\kalibrierschein\\" + cer_pdf
+#ks_tex = "C:\\Users\\becker07\\kalibrierschein\\" + cer_tex
+#ks_aux = "C:\\Users\\becker07\\kalibrierschein\\" + cer_aux
+#ks_log = "C:\\Users\\becker07\\kalibrierschein\\" + cer_log
+#ks_gz = "C:\\Users\\becker07\\kalibrierschein\\" + cer_gz
+    
+#print(ks_pdf, ks_tex)
+#os.remove(ks_pdf)
+#os.remove(ks_tex)
+#os.remove(ks_aux)
+#os.remove(ks_log)
+#os.remove(ks_gz)
+        

attachment_cer.py

+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jan  6 11:14:44 2023
+
+@author: becker07
+"""
+
+import pathlib
+import os
+
+import couchdb 
+
+
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+
+year = "2024"
+
+cers = ["75564","75565","75566","75567","75568","75569","75570","75571","75572","75573"]    #  Beispiel: cers = ["75511_0001","75512_0001"] 
+#cers = ["75562","75563"]    #  Beispiel: cers = ["75511_0001","75512_0001"] 
+
+###################  die Kalibrierscheine werden an das cer-json-dokument angehangen ##################
+i = 0
+while i < len(cers):
+    json_file = "cer-" + year + '-' + cers[i] 
+    print(json_file)
+    doc = db.get(json_file)
+    cer_pdf= "ks-" +cers[i] + "-" + year + ".pdf"
+    cer_tex= "ks-" +cers[i] + "-" + year + ".tex"
+    print(cer_pdf, cer_tex)
+    ks_pdf = "C:\\Users\\becker07\\kalibrierschein\\" + cer_pdf
+    ks_tex = "C:\\Users\\becker07\\kalibrierschein\\" + cer_tex
+    print(ks_pdf, ks_tex)
+    content_pdf=pathlib.Path(ks_pdf).read_bytes() 
+    content_tex=pathlib.Path(ks_tex).read_bytes() 
+    db.put_attachment(doc, content_pdf, cer_pdf , content_type='application/pdf')
+    db.put_attachment(doc, content_tex, cer_tex , content_type='text/plain')
+        
+    i += 1
+    
+   
+###################  die Kalibrierscheine werden im Ordner Kalibrierscheine gelöscht ################## 
+   
+i = 0
+while i < len(cers):
+    json_file = "cer-" + year + '-' + cers[i] 
+    print(json_file)
+    doc = db.get(json_file)
+    cer_pdf= "ks-" +cers[i] + "-" + year + ".pdf"
+    cer_tex= "ks-" +cers[i] + "-" + year + ".tex"
+    cer_aux= "ks-" +cers[i] + "-" + year + ".aux"
+    cer_log= "ks-" +cers[i] + "-" + year + ".log"
+    cer_gz= "ks-" +cers[i] + "-" + year + ".synctex.gz"
+    print(cer_pdf, cer_tex)
+    ks_pdf = "C:\\Users\\becker07\\kalibrierschein\\" + cer_pdf
+    ks_tex = "C:\\Users\\becker07\\kalibrierschein\\" + cer_tex
+    ks_aux = "C:\\Users\\becker07\\kalibrierschein\\" + cer_aux
+    ks_log = "C:\\Users\\becker07\\kalibrierschein\\" + cer_log
+    ks_gz = "C:\\Users\\becker07\\kalibrierschein\\" + cer_gz
+    
+    print(ks_pdf, ks_tex)
+    os.remove(ks_pdf)
+    os.remove(ks_tex)
+    os.remove(ks_aux)
+    os.remove(ks_log)
+    os.remove(ks_gz)
+        
+    i += 1
\ No newline at end of file

testplot.py

+# -*- coding: utf-8 -*-
+"""
+Created on Thu Feb 22 11:21:17 2024
+
+@author: becker07
+"""
+
+from matplotlib import pyplot as plt
+import pathlib
+from statistics import mean
+from datetime import datetime
+from IPython.display import Markdown as md
+import numpy as np
+import re
+import math
+import statistics
+import pandas as pd
+import json
+import couchdb 
+import PyPDF2
+
+
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+#json_file = "cal-" + year + "-fm1-" + "-" + cal_cert + "_" + no
+
+
+json_file = "cal-2024-fm1-kk-75565_0001"
+print(json_file)
+
+
+doc = db.get(json_file) 
+
+
+
+
+I_Scan_Offs=np.array(doc["Calibration"]["Measurement"]["AuxValues"]["ScanQMS"][2]["Value"])
+I_Scan_Offs=np.float64(I_Scan_Offs[2:-2])
+I_Scan=np.array(doc["Calibration"]["Measurement"]["AuxValues"]["ScanQMS"][1]["Value"])
+I_Scan=np.float64(I_Scan[2:-2])
+Mass_Scan=np.array(doc["Calibration"]["Measurement"]["AuxValues"]["ScanQMS"][0]["Value"])
+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'Flow')
+plt.plot(Mass_Scan,I_Scan_Offs,label=r'Offset' )
+plt.legend()
+
+
+plt.grid()
+
+fig.savefig("Scan.pdf", bbox_inches='tight')
+
+content=pathlib.Path('Scan.pdf').read_bytes() 
+
+db.put_attachment(doc, content, "Scan.pdf" , content_type="'application/pdf")
+