From 6f352ba8a889b12a0b20372d34792e875b6ede31 Mon Sep 17 00:00:00 2001
From: Eduard Friske <eduard.friske@ptb.de>
Date: Wed, 27 Mar 2024 11:10:49 +0100
Subject: [PATCH] =?UTF-8?q?Pfade=20f=C3=BCr=20Messdaten=20hinzugef=C3=BCgt?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
API-V2-elab.py | 464 +++---
README.md | 74 +-
attachment_bur.py | 232 +--
attachment_cer.py | 136 +-
...o-couchdb_tl2.py => file-to-couchdb_TLA.py | 296 ++--
...hdb_tl1_cL.py => file-to-couchdb_TLV_cL.py | 1338 ++++++++---------
testplot.py | 136 +-
writeLaTeX-ks-TL2.py => writeLaTeX-ks-TLA.py | 966 ++++++------
writeLaTex-ks-TL1.py => writeLaTex-ks-TLV.py | 870 +++++------
9 files changed, 2258 insertions(+), 2254 deletions(-)
rename file-to-couchdb_tl2.py => file-to-couchdb_TLA.py (92%)
rename file-to-couchdb_tl1_cL.py => file-to-couchdb_TLV_cL.py (97%)
rename writeLaTeX-ks-TL2.py => writeLaTeX-ks-TLA.py (97%)
rename writeLaTex-ks-TL1.py => writeLaTex-ks-TLV.py (98%)
diff --git a/API-V2-elab.py b/API-V2-elab.py
index e8afb6b..5f91c1e 100644
--- a/API-V2-elab.py
+++ b/API-V2-elab.py
@@ -1,232 +1,232 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Wed Jul 5 09:51:18 2023
-
-@author: becker07
-"""
-
-#!/usr/bin/env python
-import os
-import time
-import datetime
-import elabapi_python
-from elabapi_python.rest import ApiException
-import requests
-import json
-import couchdb
-import numpy as np
-from urllib3.exceptions import InsecureRequestWarning
-from urllib3 import disable_warnings
-
-
-couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
-db = couch['vl_db'] # existing
-
-#########################
-# CONFIG #
-#########################
-API_HOST_URL = 'https://elabftw.ptb.de/api/v2'
-# replace with your api key
-API_KEY = 'a2c6b77fdd5b19b35b3043dbfd5ac73883c4265ab210a3672037ace64a6207cfa4231a0a834ed30c19be8'
-# number of days to look back
-
-#########################
-# END CONFIG #
-#########################
-
-# Configure the api client
-configuration = elabapi_python.Configuration()
-configuration.api_key['api_key'] = API_KEY
-configuration.api_key_prefix['api_key'] = 'Authorization'
-configuration.host = API_HOST_URL
-configuration.debug = False
-configuration.verify_ssl = True
-
-# create an instance of the API class
-api_client = elabapi_python.ApiClient(configuration)
-# fix issue with Authorization header not being properly set by the generated lib
-api_client.set_default_header(header_name='Authorization', header_value=API_KEY)
-
-# create an instance of Experiments
-experimentsApi = elabapi_python.ExperimentsApi(api_client)
-uploadsApi = elabapi_python.UploadsApi(api_client)
-
-# create an instance of Tags
-api_instance = elabapi_python.TagsApi(api_client)
-
-# calculate the date
-today = datetime.date.today()
-
-########
-
-elab_id=640
-cers = ["75562_0001","75563_0001","75564_0001","75565_0001","75566_0001","75567_0001","75568_0001","75569_0001","75570_0001","75571_0001","75572_0001","75573_0001"] # Beispiel: cers = ["75511_0001","75512_0001"]
-TL1_2= "FM1" #### FM1 oder TLA
-
-year = "2024"
-kk= "KK"
-commentar = ''
-
-################################
-
-
-# get experiment with ID xxxx
-exp = experimentsApi.get_experiment(elab_id)
-print('='*72)
-print('\n ******** Experiment {} (Original): \n'.format(elab_id), exp)
-print('\n ******** Experiment-Body ', exp.body)
-print('\n ******** Experiment-Tags ', exp.userid)
-print('='*72)
-
-
-
-
-#################################
-
-if kk == "KK":
- type_k = "-kk-"
- tag_type = "KK"
-
-#################################
-
-if TL1_2 == "TLA":
- tl="-tl2"
- json_file = "cal-" + year + tl + type_k + cers[0]
- print(json_file)
- doc = db.get(json_file)
- STD1 ="TLA"
- STD2 ="TL2"
- tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">p-upstream</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
-
-else :
- tl="-fm1"
- json_file = "cal-" + year + tl + type_k + cers[0]
- print(json_file)
- doc = db.get(json_file)
- Type_k =(doc["Calibration"]["Type"])
- STD1 ="TLV"
- STD2 ="FM1"
- tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">Ventil</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
-
-
-# Die Überschrift wird zusammengesetzt
-title1=doc["Calibration"]["Customer"]["Sign"]
-body_title = STD1 + ' / ' + STD2 + ' Kalibrierung [' + title1 + ']'
-
-
-# Die Tabelle wird zusammengesetzt
-body_begin='<p> '
-#tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">p-upstream</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
-text1='<tr style="height:16px;"><td style="width:33.3222%;height:16px;"><a href="http://a73434.berlin.ptb.de:5984/_utils/#database/vl_db/'
-text1_1='tl2'
-text1_2='-'
-text1_3='kk'
-text1_4='-'
-text2='" target="_blank" rel="noreferrer noopener">cal-'
-text3='</a></td><td style="width:33.3222%;height:16px;">'
-text4='</td><td style="width:33.3222%;height:16px;">'
-text5='</td></tr>'
-tab_end='</table><p> </p><p> </p>'
-
-
-
-# Die Tags werden zusammengesetzt
-json_file_tag = "cal-" + year + tl + type_k + cers[0]
-doc_tag = db.get(json_file_tag)
-ReferenceNo =doc_tag["Calibration"]["Presettings"]["CommonReferenceNo"]
-print('stopp')
-
-Type_k =(doc_tag["Calibration"]["Type"])
-CustomerSign =(doc_tag["Calibration"]["Customer"]["Sign"])
-
-
-
-len_cers=len(cers)
-
-val = ""
-size = len_cers
-tab_body = [val] * size
-p_up = [val] * size
-gas = [val] * size
-vent = [val] * size
-print('111111111', tab_body)
-
-
-if TL1_2 == 'TLA':
-
- i = 0
- while i < len(cers):
- json_file = "cal-" + year + tl + type_k + cers[i]
- print(json_file)
- doc = db.get(json_file)
- p_up[i]=doc["Calibration"]["Result"]["Formula"]["PressureUpstream"]
- gas[i]=doc["Calibration"]["ToDo"]["Gas"]
- body=text1 + json_file + text2+ year +tl + type_k + cers[i]+ text3 + p_up[i] + text4 + gas[i] + text5
- tab_body[i] = body
- p_up[i]=np.array(doc["Calibration"]["Result"]["Formula"]["PressureUpstream"])
-
-
- i += 1
-else :
- i = 0
- while i < len(cers):
- json_file = "cal-" + year + tl + type_k + cers[i]
- print(json_file)
- x = cers[i][:5]
- doc = db.get(json_file)
- name_plot= "Scan_" + x + ".pdf"
- file_plot= 'C:/Users/becker07/python/TL1/' + name_plot
- name_Scan_json= "Scan" + x + ".pdf"
- file_json= 'C:/Users/becker07/python/TL1/' + name_Scan_json
- attachment = db.get_attachment(doc, "Scan.pdf").read()
- with open(file_json, 'wb') as pdf_object:
- pdf_object.write(attachment)
- uploadsApi.post_upload('experiments', elab_id, file=file_json, comment='Plot: Signal und Offset vom Leck')
- os.remove(file_json)
- gas[i]=doc["Calibration"]["ToDo"]["Gas"]
- vent[i]=doc["Calibration"]["Result"]["Formula"]["Valve"]
- body=text1 + json_file + text2 + year + tl + type_k + cers[i]+ text3 + vent[i] + text4 + gas[i] + text5
- tab_body[i] = body
- i += 1
-
-
-text_all= ''.join(tab_body)
-
-body_tab=body_begin + commentar + tab_begin + text_all + tab_end
-
-
-now = datetime.datetime.now()
-
-#new_body='<p>Neu von UteXX x({})</p>'.format(now.strftime('%Y-%m-%d %H:%M:%S'))
-
-
-data_body = { 'body': body_tab}
-data_title = {'title': body_title}
-
-
-print('elab_id= ', elab_id)
-
-# === Modifizieren der Einträge (hier Eintrag "body") ===
-response_body = experimentsApi.patch_experiment(elab_id, body=data_body)
-response_title = experimentsApi.patch_experiment(elab_id, body=data_title)
-data_tag={ 'tag': ReferenceNo}
-response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
-data_tag={ 'tag': Type_k}
-response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
-data_tag={ 'tag': STD1}
-response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
-data_tag={ 'tag': STD2}
-response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
-data_tag={ 'tag': CustomerSign}
-response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
-#response = experimentsApi.patch_experiment(elab_id, tags=new_tags)
-print('='*72)
-# === der modifizierte Zustand ===
-print('\n******** Experiment {} (modifiziert): \n'.format(elab_id), response_body)
-print('='*72)
-
-
-
-
-
-
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Jul 5 09:51:18 2023
+
+@author: becker07
+"""
+
+#!/usr/bin/env python
+import os
+import time
+import datetime
+import elabapi_python
+from elabapi_python.rest import ApiException
+import requests
+import json
+import couchdb
+import numpy as np
+from urllib3.exceptions import InsecureRequestWarning
+from urllib3 import disable_warnings
+
+
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+#########################
+# CONFIG #
+#########################
+API_HOST_URL = 'https://elabftw.ptb.de/api/v2'
+# replace with your api key
+API_KEY = 'a2c6b77fdd5b19b35b3043dbfd5ac73883c4265ab210a3672037ace64a6207cfa4231a0a834ed30c19be8'
+# number of days to look back
+
+#########################
+# END CONFIG #
+#########################
+
+# Configure the api client
+configuration = elabapi_python.Configuration()
+configuration.api_key['api_key'] = API_KEY
+configuration.api_key_prefix['api_key'] = 'Authorization'
+configuration.host = API_HOST_URL
+configuration.debug = False
+configuration.verify_ssl = True
+
+# create an instance of the API class
+api_client = elabapi_python.ApiClient(configuration)
+# fix issue with Authorization header not being properly set by the generated lib
+api_client.set_default_header(header_name='Authorization', header_value=API_KEY)
+
+# create an instance of Experiments
+experimentsApi = elabapi_python.ExperimentsApi(api_client)
+uploadsApi = elabapi_python.UploadsApi(api_client)
+
+# create an instance of Tags
+api_instance = elabapi_python.TagsApi(api_client)
+
+# calculate the date
+today = datetime.date.today()
+
+########
+
+elab_id=640
+cers = ["75562_0001","75563_0001","75564_0001","75565_0001","75566_0001","75567_0001","75568_0001","75569_0001","75570_0001","75571_0001","75572_0001","75573_0001"] # Beispiel: cers = ["75511_0001","75512_0001"]
+TL1_2= "FM1" #### FM1 oder TLA
+
+year = "2024"
+kk= "KK"
+commentar = ''
+
+################################
+
+
+# get experiment with ID xxxx
+exp = experimentsApi.get_experiment(elab_id)
+print('='*72)
+print('\n ******** Experiment {} (Original): \n'.format(elab_id), exp)
+print('\n ******** Experiment-Body ', exp.body)
+print('\n ******** Experiment-Tags ', exp.userid)
+print('='*72)
+
+
+
+
+#################################
+
+if kk == "KK":
+ type_k = "-kk-"
+ tag_type = "KK"
+
+#################################
+
+if TL1_2 == "TLA":
+ tl="-tl2"
+ json_file = "cal-" + year + tl + type_k + cers[0]
+ print(json_file)
+ doc = db.get(json_file)
+ STD1 ="TLA"
+ STD2 ="TL2"
+ tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">p-upstream</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
+
+else :
+ tl="-fm1"
+ json_file = "cal-" + year + tl + type_k + cers[0]
+ print(json_file)
+ doc = db.get(json_file)
+ Type_k =(doc["Calibration"]["Type"])
+ STD1 ="TLV"
+ STD2 ="FM1"
+ tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">Ventil</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
+
+
+# Die Überschrift wird zusammengesetzt
+title1=doc["Calibration"]["Customer"]["Sign"]
+body_title = STD1 + ' / ' + STD2 + ' Kalibrierung [' + title1 + ']'
+
+
+# Die Tabelle wird zusammengesetzt
+body_begin='<p> '
+#tab_begin=' </p><table style="border-collapse:collapse;width:100%;height:100%;"><tr style="height:16px;"><td style="width:33.3222%;height:16px;">DB-Link</td><td style="width:33.3222%;height:16px;">p-upstream</td><td style="width:33.3222%;height:16px;">Gas</td></tr>'
+text1='<tr style="height:16px;"><td style="width:33.3222%;height:16px;"><a href="http://a73434.berlin.ptb.de:5984/_utils/#database/vl_db/'
+text1_1='tl2'
+text1_2='-'
+text1_3='kk'
+text1_4='-'
+text2='" target="_blank" rel="noreferrer noopener">cal-'
+text3='</a></td><td style="width:33.3222%;height:16px;">'
+text4='</td><td style="width:33.3222%;height:16px;">'
+text5='</td></tr>'
+tab_end='</table><p> </p><p> </p>'
+
+
+
+# Die Tags werden zusammengesetzt
+json_file_tag = "cal-" + year + tl + type_k + cers[0]
+doc_tag = db.get(json_file_tag)
+ReferenceNo =doc_tag["Calibration"]["Presettings"]["CommonReferenceNo"]
+print('stopp')
+
+Type_k =(doc_tag["Calibration"]["Type"])
+CustomerSign =(doc_tag["Calibration"]["Customer"]["Sign"])
+
+
+
+len_cers=len(cers)
+
+val = ""
+size = len_cers
+tab_body = [val] * size
+p_up = [val] * size
+gas = [val] * size
+vent = [val] * size
+print('111111111', tab_body)
+
+
+if TL1_2 == 'TLA':
+
+ i = 0
+ while i < len(cers):
+ json_file = "cal-" + year + tl + type_k + cers[i]
+ print(json_file)
+ doc = db.get(json_file)
+ p_up[i]=doc["Calibration"]["Result"]["Formula"]["PressureUpstream"]
+ gas[i]=doc["Calibration"]["ToDo"]["Gas"]
+ body=text1 + json_file + text2+ year +tl + type_k + cers[i]+ text3 + p_up[i] + text4 + gas[i] + text5
+ tab_body[i] = body
+ p_up[i]=np.array(doc["Calibration"]["Result"]["Formula"]["PressureUpstream"])
+
+
+ i += 1
+else :
+ i = 0
+ while i < len(cers):
+ json_file = "cal-" + year + tl + type_k + cers[i]
+ print(json_file)
+ x = cers[i][:5]
+ doc = db.get(json_file)
+ name_plot= "Scan_" + x + ".pdf"
+ file_plot= 'C:/Users/becker07/python/TL1/' + name_plot
+ name_Scan_json= "Scan" + x + ".pdf"
+ file_json= 'C:/Users/becker07/python/TL1/' + name_Scan_json
+ attachment = db.get_attachment(doc, "Scan.pdf").read()
+ with open(file_json, 'wb') as pdf_object:
+ pdf_object.write(attachment)
+ uploadsApi.post_upload('experiments', elab_id, file=file_json, comment='Plot: Signal und Offset vom Leck')
+ os.remove(file_json)
+ gas[i]=doc["Calibration"]["ToDo"]["Gas"]
+ vent[i]=doc["Calibration"]["Result"]["Formula"]["Valve"]
+ body=text1 + json_file + text2 + year + tl + type_k + cers[i]+ text3 + vent[i] + text4 + gas[i] + text5
+ tab_body[i] = body
+ i += 1
+
+
+text_all= ''.join(tab_body)
+
+body_tab=body_begin + commentar + tab_begin + text_all + tab_end
+
+
+now = datetime.datetime.now()
+
+#new_body='<p>Neu von UteXX x({})</p>'.format(now.strftime('%Y-%m-%d %H:%M:%S'))
+
+
+data_body = { 'body': body_tab}
+data_title = {'title': body_title}
+
+
+print('elab_id= ', elab_id)
+
+# === Modifizieren der Einträge (hier Eintrag "body") ===
+response_body = experimentsApi.patch_experiment(elab_id, body=data_body)
+response_title = experimentsApi.patch_experiment(elab_id, body=data_title)
+data_tag={ 'tag': ReferenceNo}
+response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
+data_tag={ 'tag': Type_k}
+response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
+data_tag={ 'tag': STD1}
+response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
+data_tag={ 'tag': STD2}
+response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
+data_tag={ 'tag': CustomerSign}
+response_tag = api_instance.post_tag('experiments', elab_id, body=data_tag)
+#response = experimentsApi.patch_experiment(elab_id, tags=new_tags)
+print('='*72)
+# === der modifizierte Zustand ===
+print('\n******** Experiment {} (modifiziert): \n'.format(elab_id), response_body)
+print('='*72)
+
+
+
+
+
+
diff --git a/README.md b/README.md
index 9519c89..4356fcf 100644
--- a/README.md
+++ b/README.md
@@ -1,37 +1,37 @@
-# leak analysis
-
-
-Python-Programme für die Auswertung und Erstellung von Kalibrierscheinen ( TL1, TL2)
-
-# writeLaTex-ks-TL1.py:
-
-Erstellung eines Kalibrierscheins für TL1 , nur das Tex-Dokument
-
-# writeLaTex-ks-TL2.py:
-
-Erstellung eines Kalibrierscheins für TL2 , nur das Tex-Dokument
-
-# attachment_cer.py:
-
-Kalibrierscheine werden an das cer-dokument angehängt
-
-
-# attachment_bur.py:
-
-Manuelle veränderte Versandaufträge und Gefahrenstoffe werden an das bur-dokument angehängt
-
-# API-V2-elab.py:
-
-Messwerte werden in das Laborbuch übertragen
-
-
-# file-to-couchdb_tl1_cL.py:
-
-Die Werte aus dem Messprogramm TL1 werden in das cal-dokument übertragen
-
-# file-to-couchdb_tl2.py:
-
-Die Werte aus dem Messprogramm TL1 werden in das cal-dokument übertragen
-
-Genaue Erklärung folgt:
-
+# leak analysis
+
+
+Python-Programme für die Auswertung und Erstellung von Kalibrierscheinen ( TL1, TL2)
+
+# writeLaTex-ks-TL1.py:
+
+Erstellung eines Kalibrierscheins für TL1 , nur das Tex-Dokument
+
+# writeLaTex-ks-TL2.py:
+
+Erstellung eines Kalibrierscheins für TL2 , nur das Tex-Dokument
+
+# attachment_cer.py:
+
+Kalibrierscheine werden an das cer-dokument angehängt
+
+
+# attachment_bur.py:
+
+Manuelle veränderte Versandaufträge und Gefahrenstoffe werden an das bur-dokument angehängt
+
+# API-V2-elab.py:
+
+Messwerte werden in das Laborbuch übertragen
+
+
+# file-to-couchdb_tl1_cL.py:
+
+Die Werte aus dem Messprogramm TL1 werden in das cal-dokument übertragen
+
+# file-to-couchdb_tl2.py:
+
+Die Werte aus dem Messprogramm TL1 werden in das cal-dokument übertragen
+
+Genaue Erklärung folgt:
+
diff --git a/attachment_bur.py b/attachment_bur.py
index 7aa6b23..f9dde67 100644
--- a/attachment_bur.py
+++ b/attachment_bur.py
@@ -1,116 +1,116 @@
-# -*- 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)
-
+# -*- 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)
+
diff --git a/attachment_cer.py b/attachment_cer.py
index e37ff5e..e9a7332 100644
--- a/attachment_cer.py
+++ b/attachment_cer.py
@@ -1,69 +1,69 @@
-# -*- 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)
-
+# -*- 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
diff --git a/file-to-couchdb_tl2.py b/file-to-couchdb_TLA.py
similarity index 92%
rename from file-to-couchdb_tl2.py
rename to file-to-couchdb_TLA.py
index d2c28b7..a855f43 100644
--- a/file-to-couchdb_tl2.py
+++ b/file-to-couchdb_TLA.py
@@ -1,146 +1,150 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Fri Jul 1 12:12:37 2022
-
-@author: becker07
-"""
-
-from matplotlib import pyplot as plt
-from statistics import mean
-from datetime import datetime
-from IPython.display import Markdown as md
-import numpy as np
-import math
-import statistics
-import pandas as pd
-import json
-import couchdb
-couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
-db = couch['vl_db'] # existing
-
-
-## Eingabe von:
-# - Kalibrierscheinnummer
-# - Jahr der Kalibrierung
-# - laufende Nummer der Kalibrierung
-
-
-
-cal_cert = "75552"
-year = "2024"
-no = "0001"
-
-
-json_file = "cal-" + year + "-tl2-kk-" + cal_cert + "_" + no
-doc = db.get(json_file)
-
-# Die Daten aus dem File mit der entsprechenden Kalibrierscheinnummer werden eingelesen:
-# datum, time, p_up und alle Temperaturen,
-
-datei = cal_cert + "PTB" + year
-datei_S = cal_cert + "PTB" + year + "_S"
-print(json_file)
-
-datei_pkt = pd.read_csv(datei, sep="\t", decimal = ',' )
-datei_S_pkt = pd.read_csv(datei_S, sep="\t", decimal = ',' )
-datum=datei_pkt["Datum"]
-time=datei_pkt["Zeit"]
-p_up=datei_pkt["Druck"]
-
-p_up=np.array(p_up)
-p_up = np.asarray(p_up, dtype=float)
-
-q_tab=datei_pkt["q_mol"]
-T_room=datei_pkt["Raumtemperatur"]
-T_h2o=datei_pkt["T-H2O"]
-T_wv=datei_pkt["T-WV"]
-T_tl=datei_pkt["T-TL"]
-T_rv=datei_pkt["T-RV"]
-p_atm=datei_pkt["Umgebungsdruck p_0"]*100 # Umrechnung in Pa
-m_sz = datei_pkt["m-SZ"]
-m1_drift = datei_pkt["m1_D"]
-m2_drift = datei_pkt["m2_D"]
-print(p_atm)
-# Die Werte der Sägezähne befinden sich im File "Kalibrierscheinnummer_S".
-# Da pro Messpunkt 2 Sägezähne gefahren werden, existieren auch für jeden Messpunkt
-# jeweils zwei Zeiten t_i und zwei Hübe l_1
-
-l_1=datei_S_pkt["pos1_i"]
-l_2=datei_S_pkt["pos2_i"]
-l_pos= l_1-l_2
-l_i=datei_S_pkt["h_i"]
-t_i=datei_S_pkt["t_i"]
-
-# Im File Datei_S sind die einzelnen Hübe l_i der Nadel in einer Spalte gespeichert, der Hub l
-# muss daher in Hub l_1 und l_2 aufgegliedert werden, da in der Regel 2 Sägezähne gefahren werden.
-l_1=l_pos[0::2] # Begonnen wird in der Spalte beim Element 0 bis zum Ende der Spalte in zweier Schritte
-l_2=l_pos[1::2] # Begonnen wird in der Spalte beim Element 1 bis zum Ende der Spalte in zweier Schritte
-
-
-
-#l_1=np.genfromtxt(datei_S,skip_header=1,usecols=(2)) #### wenn nur 1 SZ vorhanden
-
-
-
-# Das gleiche gilt für die Zeit t_i
-t_1=t_i[0::2] # Begonnen wird in der Spalte beim Element 0 bis zum Ende der Spalte in zweier Schritte
-t_2=t_i[1::2] # Begonnen wird in der Spalte beim Element 1 bis zum Ende der Spalte in zweier Schritte
-#t_1=np.genfromtxt(datei_S,skip_header=1,usecols=(3))#### wenn nur 1 SZ vorhanden
-
-# Temperatur
-lis_T_h2o = T_h2o.tolist()
-lis_T_room = T_room.tolist()
-lis_T_tl = T_tl.tolist()
-lis_T_wv = T_wv.tolist()
-lis_T_rv = T_rv.tolist()
-# Druck
-lis_p_atm = p_atm.tolist()
-lis_p_up = p_up.tolist()
-# Drift
-lis_m1_drift = m1_drift.tolist()
-lis_m2_drift = m2_drift.tolist()
-lis_m_sz = m_sz.tolist()
-# Datum
-lis_date = datum.tolist()
-lis_dtime = time.tolist()
-
-lis_l1 = l_1.tolist()
-lis_l2 = l_2.tolist()
-lis_t1 = t_1.tolist()
-lis_t2 = t_2.tolist()
-
-print(lis_l1 ,lis_l2 ,lis_t1 ,lis_t2 )
-
-datum_meas = lis_date[0:1]
-
-
-print(lis_T_room)
-
-
-
-
-doc["Calibration"]["Measurement"]["Values"]={"Temperature": [{"Unit": "C","Type": "T-H2O ","Comment":"Temperatur T ","Value": lis_T_h2o},
- {"Unit": "C","Type": "T-Room","Comment":"Temperatur T","Value": lis_T_room},
- {"Unit": "C","Type": "T-TL ","Comment":"Temperatur T","Value": lis_T_tl},
- {"Unit": "C","Type": "T-WV ","Comment":"Temperatur T","Value": lis_T_wv},
- {"Unit": "C","Type": "T-RV ","Comment":"Temperatur T","Value": lis_T_rv}],
- "Pressure": [{"Unit": "mbar","Type": "Atmosparic pressure ","Value": lis_p_atm},
- {"Unit": "bar","Type": "Upstream pressure ","Value": lis_p_up}],
- "Time": [{"Unit": "s","Type": "Zeit des ersten Sägezahns ","Value": lis_t1},
- {"Unit": "s","Type": "Zeit des zweiten Sägezahns ","Value": lis_t2}],
- "L": [{"Unit": "mm","Type": "Hub des ersten Sägezahns ","Value": lis_l1},
- {"Unit": "mm","Type": "Hub des zweiten Sägezahns ","Value": lis_l2}],
- "Drift": [{"Unit": "mbar/s","Type": "Steigung des Sägezahns ","Value": lis_m_sz},
- {"Unit": "mbar/s","Type": "Drift des ersten Sägezahns ","Value": lis_m1_drift},
- {"Unit": "mbar/s","Type": "Drift des zweiten Sägezahns ","Value": lis_m2_drift}],
- "DateTime": [{"Unit": "yyyy-mm-dd","Type": "Date ","Value": lis_date},
- {"Unit": "hh:mm","Type": "Time ","Value": lis_dtime}]}
-
-
-
-doc["Calibration"]["Measurement"]["Date"]=[{"Type": "measurement","Value":datum_meas}]
-
-
-db.save(doc)
-
-
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Jul 1 12:12:37 2022
+
+@author: becker07
+"""
+
+from matplotlib import pyplot as plt
+from statistics import mean
+from datetime import datetime
+#from IPython.display import Markdown as md
+import numpy as np
+import math
+import statistics
+import pandas as pd
+import json
+import couchdb
+from pathlib import Path
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+
+## Eingabe von:
+# - Kalibrierscheinnummer
+# - Jahr der Kalibrierung
+# - laufende Nummer der Kalibrierung
+
+
+
+cal_cert = "75553"
+year = "2024"
+no = "0001"
+
+pfad = Path("P:\TLA\Messdaten")
+print(pfad)
+#exit()
+
+json_file = "cal-" + year + "-tl2-kk-" + cal_cert + "_" + no
+doc = db.get(json_file)
+
+# Die Daten aus dem File mit der entsprechenden Kalibrierscheinnummer werden eingelesen:
+# datum, time, p_up und alle Temperaturen,
+
+datei = cal_cert + "PTB" + year
+datei_S = cal_cert + "PTB" + year + "_S"
+print(json_file)
+
+datei_pkt = pd.read_csv(pfad.joinpath(datei), sep="\t", decimal = ',' )
+datei_S_pkt = pd.read_csv(pfad.joinpath(datei_S), sep="\t", decimal = ',' )
+datum=datei_pkt["Datum"]
+time=datei_pkt["Zeit"]
+p_up=datei_pkt["Druck"]
+
+p_up=np.array(p_up)
+p_up = np.asarray(p_up, dtype=float)
+
+q_tab=datei_pkt["q_mol"]
+T_room=datei_pkt["Raumtemperatur"]
+T_h2o=datei_pkt["T-H2O"]
+T_wv=datei_pkt["T-WV"]
+T_tl=datei_pkt["T-TL"]
+T_rv=datei_pkt["T-RV"]
+p_atm=datei_pkt["Umgebungsdruck p_0"]*100 # Umrechnung in Pa
+m_sz = datei_pkt["m-SZ"]
+m1_drift = datei_pkt["m1_D"]
+m2_drift = datei_pkt["m2_D"]
+print(p_atm)
+# Die Werte der Sägezähne befinden sich im File "Kalibrierscheinnummer_S".
+# Da pro Messpunkt 2 Sägezähne gefahren werden, existieren auch für jeden Messpunkt
+# jeweils zwei Zeiten t_i und zwei Hübe l_1
+
+l_1=datei_S_pkt["pos1_i"]
+l_2=datei_S_pkt["pos2_i"]
+l_pos= l_1-l_2
+l_i=datei_S_pkt["h_i"]
+t_i=datei_S_pkt["t_i"]
+
+# Im File Datei_S sind die einzelnen Hübe l_i der Nadel in einer Spalte gespeichert, der Hub l
+# muss daher in Hub l_1 und l_2 aufgegliedert werden, da in der Regel 2 Sägezähne gefahren werden.
+l_1=l_pos[0::2] # Begonnen wird in der Spalte beim Element 0 bis zum Ende der Spalte in zweier Schritte
+l_2=l_pos[1::2] # Begonnen wird in der Spalte beim Element 1 bis zum Ende der Spalte in zweier Schritte
+
+
+
+#l_1=np.genfromtxt(datei_S,skip_header=1,usecols=(2)) #### wenn nur 1 SZ vorhanden
+
+
+
+# Das gleiche gilt für die Zeit t_i
+t_1=t_i[0::2] # Begonnen wird in der Spalte beim Element 0 bis zum Ende der Spalte in zweier Schritte
+t_2=t_i[1::2] # Begonnen wird in der Spalte beim Element 1 bis zum Ende der Spalte in zweier Schritte
+#t_1=np.genfromtxt(datei_S,skip_header=1,usecols=(3))#### wenn nur 1 SZ vorhanden
+
+# Temperatur
+lis_T_h2o = T_h2o.tolist()
+lis_T_room = T_room.tolist()
+lis_T_tl = T_tl.tolist()
+lis_T_wv = T_wv.tolist()
+lis_T_rv = T_rv.tolist()
+# Druck
+lis_p_atm = p_atm.tolist()
+lis_p_up = p_up.tolist()
+# Drift
+lis_m1_drift = m1_drift.tolist()
+lis_m2_drift = m2_drift.tolist()
+lis_m_sz = m_sz.tolist()
+# Datum
+lis_date = datum.tolist()
+lis_dtime = time.tolist()
+
+lis_l1 = l_1.tolist()
+lis_l2 = l_2.tolist()
+lis_t1 = t_1.tolist()
+lis_t2 = t_2.tolist()
+
+print(lis_l1 ,lis_l2 ,lis_t1 ,lis_t2 )
+
+datum_meas = lis_date[0:1]
+
+
+print(lis_T_room)
+
+
+
+
+doc["Calibration"]["Measurement"]["Values"]={"Temperature": [{"Unit": "C","Type": "T-H2O ","Comment":"Temperatur T ","Value": lis_T_h2o},
+ {"Unit": "C","Type": "T-Room","Comment":"Temperatur T","Value": lis_T_room},
+ {"Unit": "C","Type": "T-TL ","Comment":"Temperatur T","Value": lis_T_tl},
+ {"Unit": "C","Type": "T-WV ","Comment":"Temperatur T","Value": lis_T_wv},
+ {"Unit": "C","Type": "T-RV ","Comment":"Temperatur T","Value": lis_T_rv}],
+ "Pressure": [{"Unit": "mbar","Type": "Atmosparic pressure ","Value": lis_p_atm},
+ {"Unit": "bar","Type": "Upstream pressure ","Value": lis_p_up}],
+ "Time": [{"Unit": "s","Type": "Zeit des ersten Sägezahns ","Value": lis_t1},
+ {"Unit": "s","Type": "Zeit des zweiten Sägezahns ","Value": lis_t2}],
+ "L": [{"Unit": "mm","Type": "Hub des ersten Sägezahns ","Value": lis_l1},
+ {"Unit": "mm","Type": "Hub des zweiten Sägezahns ","Value": lis_l2}],
+ "Drift": [{"Unit": "mbar/s","Type": "Steigung des Sägezahns ","Value": lis_m_sz},
+ {"Unit": "mbar/s","Type": "Drift des ersten Sägezahns ","Value": lis_m1_drift},
+ {"Unit": "mbar/s","Type": "Drift des zweiten Sägezahns ","Value": lis_m2_drift}],
+ "DateTime": [{"Unit": "yyyy-mm-dd","Type": "Date ","Value": lis_date},
+ {"Unit": "hh:mm","Type": "Time ","Value": lis_dtime}]}
+
+
+
+doc["Calibration"]["Measurement"]["Date"]=[{"Type": "measurement","Value":datum_meas}]
+
+
+db.save(doc)
+
+
diff --git a/file-to-couchdb_tl1_cL.py b/file-to-couchdb_TLV_cL.py
similarity index 97%
rename from file-to-couchdb_tl1_cL.py
rename to file-to-couchdb_TLV_cL.py
index 7454705..36bc1b3 100644
--- a/file-to-couchdb_tl1_cL.py
+++ b/file-to-couchdb_TLV_cL.py
@@ -1,669 +1,669 @@
-# -*- 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
-
-couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
-db = couch['vl_db'] # existing
-
-
-## Eingabe von:
-# - Kalibrierscheinnummer
-# - Jahr der Kalibrierung
-# - laufende Nummer der Kalibrierung
-
-
-
-cal_cert = "75573"
-year = "2024"
-no = "0001"
-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)
-
-
-dateiTab = cal_cert
-#print(dateiTab)
-
-
-dateiTab=pd.read_csv(dateiTab, sep="\t", decimal = ',' )
-
-L_ar=dateiTab["L"]
-print('Leitwert j= 1, nein = 0 :: ', L_ar)
-
-L=L_ar[0]
-print('Leitwer : ',L)
-
-
-gauge = float(doc["Calibration"]["CustomerObject"]["Setup"]["CDG"])
-print(gauge)
-
-fileQMS = "QMS" + cal_cert + ".txt"
-dateiQMS =fileQMS
-ScanQMS="Scan"+cal_cert + ".txt"
-ScanOffsQMS="Scan_Offs"+cal_cert + ".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": "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}]
- }
- 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": "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"]["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")
-
-
-
-
+# -*- 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
+
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+
+## Eingabe von:
+# - Kalibrierscheinnummer
+# - Jahr der Kalibrierung
+# - laufende Nummer der Kalibrierung
+
+
+
+cal_cert = "75573"
+year = "2024"
+no = "0001"
+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)
+
+
+dateiTab = cal_cert
+#print(dateiTab)
+
+
+dateiTab=pd.read_csv(dateiTab, sep="\t", decimal = ',' )
+
+L_ar=dateiTab["L"]
+print('Leitwert j= 1, nein = 0 :: ', L_ar)
+
+L=L_ar[0]
+print('Leitwer : ',L)
+
+
+gauge = float(doc["Calibration"]["CustomerObject"]["Setup"]["CDG"])
+print(gauge)
+
+fileQMS = "QMS" + cal_cert + ".txt"
+dateiQMS =fileQMS
+ScanQMS="Scan"+cal_cert + ".txt"
+ScanOffsQMS="Scan_Offs"+cal_cert + ".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": "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}]
+ }
+ 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": "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"]["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")
+
+
+
+
diff --git a/testplot.py b/testplot.py
index 362af10..d010a69 100644
--- a/testplot.py
+++ b/testplot.py
@@ -1,68 +1,68 @@
-# -*- 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")
-
+# -*- 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")
+
diff --git a/writeLaTeX-ks-TL2.py b/writeLaTeX-ks-TLA.py
similarity index 97%
rename from writeLaTeX-ks-TL2.py
rename to writeLaTeX-ks-TLA.py
index 1b7cab9..6982c47 100644
--- a/writeLaTeX-ks-TL2.py
+++ b/writeLaTeX-ks-TLA.py
@@ -1,484 +1,484 @@
-import time
-import couchdb
-from datetime import date
-couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
-db = couch['vl_db'] # existing
-
-cal_cert = "75204"
-year = "2023"
-no = "0001"
-
-
-# Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
-#pup_cus_ptb = 0
-
-# Druckanzeige durch eine Interpolation intp = 0 (PTB) ; intp = 1 (customer)
-#intp = 1
-
-
-CertificateDate = str(date.today())
-
-json_file_cer = "cer-" + year + "-" + cal_cert
-
-print(json_file_cer)
-
-
-### Kontrolle ob schon ein cer existiert #########
-
-id_cer = 0
-
-mango = {'selector': {'_id':json_file_cer}}
-for i in db.find(mango):
- id_cer = 1
-
-print(id_cer)
-
-
-doc = {'_id': json_file_cer}
-
-
-if id_cer == 0:
- db.save(doc)
- print ( "Warten! 30 Sekunden" )
- time.sleep ( 30 )
- print ( json_file_cer," ist in der Couch angelegt" )
-
-else:
- print ( json_file_cer," ist bereits in der Couch angelegt" )
-
-
-id_ = "cal-" + year + "-tl2-kk-" + cal_cert + "_" + no
-ks = "C:\\Users\\becker07\\kalibrierschein\\ks-" + cal_cert + "-" + year + ".tex"
-cer = "cer-" + year + "-" + cal_cert
-
-json_file_cal = id_
-json_file_cer = cer
-doc_cal = db.get(json_file_cal)
-doc_cer = db.get(json_file_cer)
-
-
-
- ##### Daten aus dem cal Dokument werden eingelesen#######
-
-std = doc_cal["Calibration"]["ToDo"]["Standard"]
-kind = doc_cal["Calibration"]["ToDo"]["Type"]
-gas = doc_cal["Calibration"]["ToDo"]["Gas"]
-lang = doc_cal["Calibration"]["Customer"]["Lang"]
-todo = doc_cal["Calibration"]["ToDo"]["Type"]
-analy = doc_cal["Calibration"]["Result"]["Formula"]["Analyses"]
-
-
-
-###### Überprüfung welches Todo #########################
-
-if "flow_std" in todo:
- res = 1 # Reservoir res = 1 (ja) ; res = 0 (nein)
- pup_cus_ptb = 1 # Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
-
-else:
- res = 0 # Reservoir res = 1 (ja) ; res = 0 (nein)
- pup_cus_ptb = 0 # Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
-
-
-print(lang)
-calibration_type = "KK"
-last_cert_no = doc_cal["Calibration"]["Presettings"]
-
-###### überprüfen ob eine letztes Cal-Zeichen gibt #########################
-
-if "LastCalibrationYear" in last_cert_no:
- print("\"last_cert_no\" ist vorhanden.")
- last_cert_no = doc_cal["Calibration"]["Presettings"]["LastCalibrationCertificate"]
- last_cert_year = doc_cal["Calibration"]["Presettings"]["LastCalibrationYear"]
- last_cert = last_cert_no + "\\,PTB\\," + last_cert_year[2:]
- sectionDiscription_noyes= "yes"
- print(last_cert)
-
-else:
- print("\"last_cert_no\" ist nicht vorhanden.")
- sectionDiscription_noyes= "no"
- last_cert = ""
-
-
-
-Standard = doc_cal["Calibration"]["ToDo"]["Standard"]
-Land= doc_cal["Calibration"]["Customer"]["Address"]["Land"]
-
-##### Titlepage #######
-Certificate = str(doc_cal["Calibration"]["Certificate"])
-ReferenceNo = doc_cal["Calibration"]["Presettings"]["ReferenceNo"]
-Name= doc_cal["Calibration"]["Customer"]["Name"]
-AddName= doc_cal["Calibration"]["Customer"]["AddName"]
-Street= doc_cal["Calibration"]["Customer"]["Address"]["Street"]
-Town= doc_cal["Calibration"]["Customer"]["Address"]["Town"]
-Zipcode= doc_cal["Calibration"]["Customer"]["Address"]["Zipcode"]
-ObjectOfCalibration= doc_cal["Calibration"]["CustomerObject"]["Type"]
-Producer= doc_cal["Calibration"]["CustomerObject"]["Device"]["Producer"]
-Type= doc_cal["Calibration"]["CustomerObject"]["Device"]["Type"] ########## Type
-Object= doc_cal["Calibration"]["CustomerObject"]["Type"] ########## Gegenstand/Object
-Serial= doc_cal["Calibration"]["CustomerObject"]["Name"] ########## Kennummer
-Examiner= doc_cal["Calibration"]["Measurement"]["Maintainer"]
-ByOrder= "Dr. Matthias Bernien"
-MeasurementDate= doc_cal["Calibration"]["Result"]["Formula"]["MeasurementDate"]
-
-print(MeasurementDate)
-
-obj ='\\object{'+ Object + '}\n'
-manufacturer = '\\manufacturer{' + Producer +' }\n'
-typ = '\\type{' + Type + '}\n'
-serialNo = '\\serialNo{' + Serial + '}\n'
-applicant = '\\applicant{{' + Name + '}\n {' + Street + '} \n {' + Zipcode + Town +'}\n {' + Land+'}}\n'
-refNo = '\\refNo{ ' + ReferenceNo + '}\n'
-calibMark = '\\calibMark{ ' +' ' + Certificate + ' PTB 23}\n'
-calibDate = '\\calibDate{' + MeasurementDate + '}\n'
-examiner = '\\examiner{' + Examiner + '}\n'
-certificateDate = '\\certificateDate{' + CertificateDate + '}\n'
-
-
-################## Ergebnisse ###################################################
-NoOfMeasurements= doc_cal["Calibration"]["Result"]["Formula"]["NoOfMeasurements"]
-TemperatureTL= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTL"]
-
-PressureUpstream= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstream"]
-PressureUpstreamMin= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstreamMin"]
-PressureUpstreamMax= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstreamMax"]
-LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
-PressureAtmosmin= doc_cal["Calibration"]["Result"]["Formula"]["PressureAtmosmin"] ####### Pascal
-a =float(PressureUpstreamMin)
-b = f'{a:1f}'
-PressureUpstreamMin = b[:-2]
-PressureAtmosmax= doc_cal["Calibration"]["Result"]["Formula"]["PressureAtmosmax"]
-a =float(PressureUpstreamMax)
-b = f'{a:1f}'
-PressureUpstreamMax = b[:-2]
-FlowMol= doc_cal["Calibration"]["Result"]["Formula"]["FlowMol"]
-FlowpV= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV"]
-LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
-TextDE= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["de"]
-TextEN= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["en"]
-
-###############################################################################################################################################################
-
-
-
-
-
-####### Überschriften ######################
-
-######## Deutsch ##########################
-
-sectionDescriptionTitle = 'Beschreibung zum Kalibriergerät'
-sectionTitelProcedure = 'Kalibrierverfahren '
-sectionTitelResult = 'Messergebnis '
-sectionTitelUncertainty = 'Unsicherheit '
-
-
-
-
-######## Englisch ##########################
-
-sectionDescriptionTitle_en = 'Description relating to calibration device'
-sectionTitelProcedure_en = 'Calibration procedure '
-sectionTitelResult_en = 'Measurement results'
-sectionTitelUncertainty_en = 'Uncertainty of Calibration'
-
-
-
-####### Überschriften Ende ######################
-
-
-####### Formeln ####################
-
-q_pV_allg = ' \\[ q_{pV} = p_{\\text{atm}} \\cdot \\frac{\\Delta V}{\\Delta t}\\] \n '
-q_mol_allg = ' \\[ q_\\text{mol} = \\frac{q_{pV}}{RT}\\] \n '
-q_mol_Val= 'q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{ ' + FlowMol + ' }{\\mol\\per\\second}'
-q_pV_Val_all = '\\[q_{pV}(\\vartheta_\\text{Ch}) = q_{\\text{mol}}(\\vartheta_\\text{TL})\\cdot R \\cdot (\\vartheta_\\text{Ch} + T_0)\\] '
-q_pV_Val = 'q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}' ######### Wichtig beim deutsch/englisch Text , der Wert steht beim Englisch in einer Zeile
-
-######## Tabellen um die Formeln zu zentriert. Bei den deutsch englischen Kalibrierschein stehen beide Ergebnisse direkt untereinander###########################
-
-tab_q_mol_Val= '\\begin{center}\\begin{tabular}[h]{c} $$$' + q_mol_Val + '$$$ \\\\ $$$\\begin{english} ' + q_mol_Val + ' \\end{english}$$$ \\end{tabular}\\end{center}'
-tab_q_mol_Val_en= ' \\[ ' + q_mol_Val + '\\] \n'
-
-tab_q_pV_Val= '\\begin{center}\\begin{tabular}[h]{c} $$$' + q_pV_Val + '$$$ \\\\ $$$\\begin{english} '+ q_pV_Val + '\\end{english}$$$ \\end{tabular}\\end{center}'
-tab_q_pV_Val_en= ' \\[ ' + q_pV_Val + '\\] \n'
-
-
-######## Formeln Ende ######################
-
-
-
-
-
-
-
-
-###### 1. Section: Beschreibung zum Kalibriergerät ###################
-
-
-sectionDiscription_1= TextDE ###### Beschreibung aus dem cal-Dokument
-sectionDiscription_1_en= TextEN ###### Beschreibung aus dem cal-Dokument
-
-
-if (sectionDiscription_noyes!= 'yes'):
-
- sectionDiscription_2= " Dies ist die erste von der PTB durchgeführte Kalibrierung."
- sectionDiscription_2_en= "This is the previous calibration at PTB."
- print(" 1. durchgeführte Kalibrierung")
-
-else:
-
- sectionDiscription_2= " Die von der PTB zuletzt durchgeführten Kalibrierung ist im Kalibrierschein " + last_cert + " beschrieben."
- sectionDiscription_2_en= " The previous calibration at PTB had been carried out " + last_cert_year + ' with the calibration mark ' + last_cert + " ."
-
-
-
-
-sectionDiscription_1_en= TextEN ###### Beschreibung aus dem cal-Dokument
-
-sectionDiscription = '\\section{' + sectionDescriptionTitle + '\\linebreak {\\small \\emph{' + sectionDescriptionTitle_en + '}}}\n' + sectionDiscription_1 + sectionDiscription_2 + '\n' + '\\begin{english}' + TextEN + sectionDiscription_2_en + '\\end{english} \n'
-sectionDiscription_en = '\\section{' + sectionDescriptionTitle_en +'}\n' + TextEN + sectionDiscription_2_en
-
-
-print(sectionDiscription, " Discription funktioniert")
-
-
-####### 2. Section: Procedure ###################################
-
-
-sectionProcedure1='''Der gemäß DIN 28400, Teil 1, definierte \\(pV\\)-Durchfluss \\(q_{pV}\\) des aus dem Testleck gegen Atmosphäre ausströmenden Gases wird mit dem Primärnormal TL2 des Labors für Vakuummetrologie der PTB bestimmt.
-Das Testleck ist dazu an einer kleinen abgeschlossenen Kammer mit veränderbarem Volumen angeflanscht. Die Kammer des Primärnormals und das Testleck sind gemeinsam thermisch von der Umgebung isoliert.
-Um den Druck \\(p_{\\text{atm}}\\) (atmosphärischer Luftdruck) in dem Behälter bei einströmendem Gas aus dem Testleck konstant zu halten, wird das Volumen vergrößert.
-Der \\(pV\\)-Durchfluss \\(q_{pV}\\) bei der Temperatur \\(T\\) (in K) und der zeitlichen Volumenänderung (\\(\\Delta V/\\Delta t\\)) im Primärnormal ist gegeben durch \n '''
-sectionProcedure2=''' Der Druck \\(p_{\\text{atm}}\\) wird mit einem kalibrierten digitalen Manometer gemessen.
-Die zeitliche Volumenänderung (\\(\\Delta V/\\Delta t\\)) wird mit Hilfe einer kalibrierten Nadel und einer elektronischen Uhr bestimmt.
-Die molare Durchflussrate \\(q_{\\text{mol}}\\) wird nach folgender Beziehung berechnet\n '''
-sectionProcedure3=' Die molare Gaskonstante \\(R\\) hat den Wert 8,3145~\\(\\text{Pa}\\)~\\(\\text{m}^3\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\).'
-
-
-sectionProcedure1_en ='''The gas flow \\(q_{pV}\\) of the leak defined by ISO 3529-1 flowing against atmosphere is measured in the primary test leak standard TL2 of PTB.
-The leak is connected to a small chamber of variable size. The chamber of the primary standard and the test leak are thermally isolated from the environment.
-The gas of the leak flowing into the chamber causes an increasing pressure, which is compensated by a change of the volume.
-The leak rate \\(q_{pV}\\) is calculated from the temporal volume change (\\(\\Delta V/\\Delta t\\)) and the pressure \\(p_{\\text{atm}}\\) (atmospheric pressure) inside the chamber at the temperature \\(T\\) (in K) via '''
-sectionProcedure2_en=''' The pressure \\(p_{\\text{atm}}\\) is measured by means of a calibrated digital pressure gauge.
-The temporal volume change \\(\\Delta V/\\Delta t\\) is obtained of a calibrated needle and an electronic clock. The molar leak rate \\(q_{\\text{mol}}\\) of the test leak can be calculated by the following equation:'''
-sectionProcedure3_en=' The molar gas constant \\(R\\) has the value 8.3145~\\(\\text{Pa}\\)~\\(\\text{m}^3\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\).'
-
-
-sectionProcedure = '\\section{' + sectionTitelProcedure + '\\linebreak {\\small \\emph{' + sectionTitelProcedure_en + '}}}\n' + sectionProcedure1 + '\\begin{english}' + sectionProcedure1_en + '\\end{english} \n' + q_pV_allg + sectionProcedure2 + '\\begin{english}' + sectionProcedure2_en + '\\end{english} \n' + q_mol_allg + sectionProcedure3 + '\\begin{english}' + sectionProcedure3_en +'\\end{english} \n'
-sectionProcedure_en = '\\section{' + sectionTitelProcedure_en + '}\n' + sectionProcedure1_en + q_pV_allg + sectionProcedure2_en + q_mol_allg + sectionProcedure3_en
-
-
-####### 3. Section: Result ###################################
-
-sectionResult1 = 'Mit dem Testleck wurden insgesamt ' + NoOfMeasurements + ' Leckratenbestimmungen an verschiedenen Tagen bei der Testlecktemperatur \\( \\vartheta_\\text{TL}= \\num{ ' + TemperatureTL + '}\\pm \\SI{0.1}{\\degreeCelsius} \\) durchgeführt.\n Die Atmosphärendrücke lagen zwischen \\(p_{\\text{atm}_1}=(\\num{ ' + PressureAtmosmin + '}\\pm \\SI{0.1})~ \\si{Pa} \\) und \\(p_{\\text{atm}_2}=(\\num{ ' +PressureAtmosmax + '} \\pm \\num{0.1})~ \\si{Pa} \\).\n'
-sectionResult2 = 'Daraus kann für den Ort mit einer Temperatur \\(\\vartheta_\\text{Ch}\\) in \\si{\\degreeCelsius}, an dem sich das Testleck befindet, mit \\(T_0 = \\SI{273.15}{\\kelvin}\\), der \\(pV\\)-Durchfluss nach folgender Beziehung berechnet werden.'
-sectionResult3 = '\\linebreak Bei einer Temperatur \\( \\vartheta_\\text{Ch}= \\SI{ 23 }{\\degreeCelsius} \\) ergibt sich ein \\(pV\\)-Durchfluss \\(q_{pV}\\) von '
-sectionResult4 = 'Die relative Unsicherheit \\(U\\) der angegebenen Leckraten beträgt \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
-
-
-sectionResult_std = 'Die mittlere molare Leckrate ergab einen Wert von:\n'
-sectionResult_std_en = 'The mean leak rate (molar flow) was determined to:\n'
-
-sectionResult_pup_mean = 'Die mittlere molare Leckrate, bei einem relativ zur Atmosphäre eingestellten Druck von \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) ergab einen Wert von:\n'
-sectionResult_pup_mean_en = 'The mean leak rate (molar flow) for relativ pressure \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) at the upstream pressure side was determined to:\n'
-
-sectionResult_pup_int1 = 'Die molare Leckrate, bei einem relativ zur Atmosphäre eingestellten Druck von \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) ergab einen Wert von:'
-sectionResult_pup_int2 = 'Der Wert ergab sich aus der Interpolation der gemessenen Werte in einem Bereich von \\(p_{\\text{up}_1}=(\\num{ ' + PressureUpstreamMin + '}\\pm \\SI{0.1})~ \\si{kPa} \\) and \\(p_{\\text{up}_2}=(\\num{ ' + PressureUpstreamMax + '}\\pm \\SI{0.1})~ \\si{kPa} \\). Die Unsicherheit des relativ eingestellten Drucks ist \\( \\SI{0.5}{\\percent} \\).'
-
-sectionResult1_en = NoOfMeasurements + ' measurements were carried out on several days at a leak temperature \\( \\vartheta_\\text{TL}= \\num{ ' + TemperatureTL + '}\\pm \\SI{0.1}{\\degreeCelsius} \\) (thermostated) and an atmospheric pressure between \\(p_{\\text{atm}_1}=(\\num{ ' + PressureAtmosmin + ' }\\pm \\SI{0.1})~ \\si{ Pa} \\) and \\(p_{\\text{atm}_2}=(\\num{ ' + PressureAtmosmax + ' } \\pm \\num{0.1})~ \\si{ Pa} \\).'
-sectionResult2_en = ' From this the \\(pV\\)-flow can be calculated for a place at a temperature \\(\\vartheta_\\text{Ch}\\) (in \\si{\\degreeCelsius}), where a device under test is mounted and \\(T_0 = \\SI{273.15}{\\kelvin}\\), by the equation '
-sectionResult3_en = 'At the temperature \\( \\vartheta_\\text{Ch}= \\SI{ 23 }{\\degreeCelsius} \\) the flow rate is'
-sectionResult4_en = 'The relative uncertainty \\(U\\) of the stated leak rate are \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
-
-if res == 1:
- print ( "Standartmessung - mit Reservoir" )
- sectionResult = '\\section{' + sectionTitelResult + '\\linebreak {\\small \\emph{' + sectionTitelResult_en + '}}}\n' + sectionResult1 + sectionResult_std + '\\begin{english}' + sectionResult1_en + sectionResult_std_en + '\\end{english} ' + tab_q_mol_Val
- sectionResult_en = '\\section{' + sectionTitelResult_en + '}\n' + sectionResult1_en + sectionResult_std_en + tab_q_mol_Val_en
-
-
-
-
-else:
- if(analy!='mean'):
- print ( "Standartmessung - ohne Reservoir" )
-
- sectionResult = '\\section{' + sectionTitelResult + '\\linebreak {\\small \\emph{' + sectionTitelResult_en + '}}}\n'
- + sectionResult1 + sectionResult_pup_mean + q_mol_Val
- + '\\begin{english}' + sectionResult1_en + ' The mean leak rate (molar flow) was determined to:' + q_mol_Val + '\\end{english} \n'
-
-
-sectionResult = sectionResult + sectionResult2 + '\\begin{english}' + sectionResult2_en + '\\end{english} \n' + q_pV_Val_all + sectionResult3 + '\\begin{english}' + sectionResult3_en + '\\end{english} \n' + tab_q_pV_Val + sectionResult4 + '\\begin{english}' + sectionResult4_en + '\\end{english} \n'
-sectionResult_en = sectionResult_en + sectionResult2_en + q_pV_Val_all + sectionResult3_en + tab_q_pV_Val_en + sectionResult4_en
-
-
-
-
-
-####### 4. Section: Uncertainty ###################################
-
-sectionU1 = 'Angegeben ist die erweiterte Messunsicherheit \\(U\\), die sich aus der Standardmessunsicherheit durch Multiplikation mit dem Erweiterungsfaktor \\(k = 2\\) ergibt. Sie wurde gemäß dem „Guide to the Expression of Uncertainty in Measurement (GUM)“ ermittelt. Der Wert der Messgröße liegt dann im Regelfall mit einer Wahrscheinlichkeit von annähernd \\SI{95}{\\percent} im zugeordneten Überdeckungsintervall.\n '
-sectionU1_en = 'The uncertainty \\(U\\) stated is the expanded measurement uncertainty obtained by multiplying the standard measurement uncertainty by the coverage factor \\(k = 2\\). It has been determined in accordance with the “Guide to the Expression of Uncertainty in Measurement (GUM)”. The value of the measurand then normally lies, with a probability of approximately \\SI{95}{\\percent} within the attributed coverage interval.'
-
-sectionU = '\\section{' + sectionTitelUncertainty + '\\linebreak {\\small \\emph{' + sectionTitelUncertainty_en + '}}}\n' + sectionU1 + '\\begin{english}' + sectionU1_en + '\\end{english} \n'
-sectionU_en = '\\section{' + sectionTitelUncertainty_en + '}\n' + sectionU1_en
-
-
-
-if(lang!='en'):
- print("Kalibrierschein in deutsch",lang)
-
- with open(ks,'w', encoding='utf-8') as file:
-
- file.write('\\listfiles\n')
- file.write('\\documentclass[de,KK,noCMC]{kalibrierschein}\n ')
- file.write(obj)
- file.write(manufacturer)
- file.write(typ)
- file.write(serialNo)
- file.write(applicant)
- file.write(refNo)
- file.write(calibMark)
- file.write(calibDate)
- file.write('\\byOrder{Dr. M.Bernien}\n')
- file.write(examiner)
- file.write(certificateDate)
-
- file.write('\\begin{document}\n')
-
- file.write('\\printFirstPage\n')
- file.write(sectionDiscription)
-
-
-
- file.write(sectionProcedure)
- file.write('\\pagebreak ')
- file.write(sectionResult)
- file.write(sectionU)
-
-
-
- file.write('\\pagebreak ')
-
- file.write('\\printLastPage')
- file.write('\\end{document}\n')
- print("bis hier funktioniert")
-else:
- print('"Kalibrierschein in ',lang, "en")
-
-
- with open(ks,'w', encoding='utf-8') as file:
-
- file.write('\\listfiles\n')
- file.write('\\documentclass[en,KK,noCMC]{kalibrierschein}\n ')
- file.write(obj)
- file.write(manufacturer)
- file.write(typ)
- file.write(serialNo)
- file.write(applicant)
- file.write(refNo)
- file.write(calibMark)
- file.write(calibDate)
- file.write('\\byOrder{Dr. M.Bernien}\n')
- file.write(examiner)
- file.write(certificateDate)
-
- file.write('\\begin{document}\n')
-
- file.write('\\printFirstPage\n')
- file.write(sectionDiscription_en)
-
-
-
- file.write(sectionProcedure_en)
- file.write(sectionResult_en)
- file.write(sectionU_en)
-
-
-
- file.write('\\pagebreak ')
-
- file.write('\\printLastPage')
- file.write('\\end{document}\n')
- print("bis hier funktioniert")
-
-
- ####################Erstellung des cer-Dokuments ##########################
-
-
-
- ##### Doukument "cer" wird erstellt#######
-
-
-MeasurementDateBegin = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
-MeasurementDateBegin = MeasurementDateBegin[0]
-MeasurementDateEnd = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
-MeasurementDateEnd = MeasurementDateEnd[0]
-DeviceClass= "TLA"
-
-
-doc_cer["Certificate"]={"Meta":{"std": ["TL2"],
- "id":[id_],
- "kind" :[kind],
- "gas": [gas],
- "lang":lang,
- "calibration_type":calibration_type,
- "last_cert":last_cert}}
-
-doc_cer["Certificate"]["Titlepage"]={"CertificateDate" :CertificateDate,
- "FullYear": "2024",
- "ShortYear": "24",
- "MeasurementDate": MeasurementDate,
- "MeasurementDateBegin": MeasurementDateBegin,
- "MeasurementDateEnd": MeasurementDateEnd,
- "Certificate": Certificate,
- "ReferenceNo": ReferenceNo,
- "Customer": {
- "Name": Name,
- "AddName": AddName,
- "Street": Street,
- "Town": Town,
- "Zipcode": Zipcode,
- "Land": Land,
- "CountryCode": Land },
- "ObjectOfCalibration": ObjectOfCalibration,
- "Producer": Producer,
- "Type": Type,
- "Object": Object,
- "Serial": Serial ,
- "Examiner": Examiner,
- "DeviceClass": DeviceClass,
- "ByOrder": ByOrder,
- }
-
-
-doc_cer["Certificate"]["Section"]= [{"Heading": "Description relating to calibration device","Paragraph":sectionDiscription},
- {"Heading": "Calibration procedure","Paragraph":sectionProcedure},
- {"Heading": "Measurement results","Paragraph":sectionResult},
- {"Heading": "Uncertainty of Calibration","Paragraph":sectionU}],
-
-doc_cer["Certificate"]["Formula"]={"NoOfMeasurements": NoOfMeasurements,
- "FlowMol": FlowMol,
- "FlowpV":FlowpV,
- "TemperatureTL": TemperatureTL,
- "LeakUncertainty": LeakUncertainty,
- "MeasurementDate": MeasurementDate,
- "PressureUpstream": PressureUpstream,
- "PressureAtmosmin": PressureAtmosmin,
- "PressureAtmosmax": PressureAtmosmax,
- }
-
-
-
- #
- #
- #
-
-db.save(doc_cer)
-
-
-
-
-
-
+import time
+import couchdb
+from datetime import date
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+cal_cert = "75204"
+year = "2023"
+no = "0001"
+
+
+# Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
+#pup_cus_ptb = 0
+
+# Druckanzeige durch eine Interpolation intp = 0 (PTB) ; intp = 1 (customer)
+#intp = 1
+
+
+CertificateDate = str(date.today())
+
+json_file_cer = "cer-" + year + "-" + cal_cert
+
+print(json_file_cer)
+
+
+### Kontrolle ob schon ein cer existiert #########
+
+id_cer = 0
+
+mango = {'selector': {'_id':json_file_cer}}
+for i in db.find(mango):
+ id_cer = 1
+
+print(id_cer)
+
+
+doc = {'_id': json_file_cer}
+
+
+if id_cer == 0:
+ db.save(doc)
+ print ( "Warten! 30 Sekunden" )
+ time.sleep ( 30 )
+ print ( json_file_cer," ist in der Couch angelegt" )
+
+else:
+ print ( json_file_cer," ist bereits in der Couch angelegt" )
+
+
+id_ = "cal-" + year + "-tl2-kk-" + cal_cert + "_" + no
+ks = "P:\\TLA\\KS\\ks-" + cal_cert + "-" + year + ".tex"
+cer = "cer-" + year + "-" + cal_cert
+
+json_file_cal = id_
+json_file_cer = cer
+doc_cal = db.get(json_file_cal)
+doc_cer = db.get(json_file_cer)
+
+
+
+ ##### Daten aus dem cal Dokument werden eingelesen#######
+
+std = doc_cal["Calibration"]["ToDo"]["Standard"]
+kind = doc_cal["Calibration"]["ToDo"]["Type"]
+gas = doc_cal["Calibration"]["ToDo"]["Gas"]
+lang = doc_cal["Calibration"]["Customer"]["Lang"]
+todo = doc_cal["Calibration"]["ToDo"]["Type"]
+analy = doc_cal["Calibration"]["Result"]["Formula"]["Analyses"]
+
+
+
+###### Überprüfung welches Todo #########################
+
+if "flow_std" in todo:
+ res = 1 # Reservoir res = 1 (ja) ; res = 0 (nein)
+ pup_cus_ptb = 1 # Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
+
+else:
+ res = 0 # Reservoir res = 1 (ja) ; res = 0 (nein)
+ pup_cus_ptb = 0 # Druckanzeige pup_cus_ptb = 0 (PTB/Wika) ; pup_cus_ptb = 1 (customer)
+
+
+print(lang)
+calibration_type = "KK"
+last_cert_no = doc_cal["Calibration"]["Presettings"]
+
+###### überprüfen ob eine letztes Cal-Zeichen gibt #########################
+
+if "LastCalibrationYear" in last_cert_no:
+ print("\"last_cert_no\" ist vorhanden.")
+ last_cert_no = doc_cal["Calibration"]["Presettings"]["LastCalibrationCertificate"]
+ last_cert_year = doc_cal["Calibration"]["Presettings"]["LastCalibrationYear"]
+ last_cert = last_cert_no + "\\,PTB\\," + last_cert_year[2:]
+ sectionDiscription_noyes= "yes"
+ print(last_cert)
+
+else:
+ print("\"last_cert_no\" ist nicht vorhanden.")
+ sectionDiscription_noyes= "no"
+ last_cert = ""
+
+
+
+Standard = doc_cal["Calibration"]["ToDo"]["Standard"]
+Land= doc_cal["Calibration"]["Customer"]["Address"]["Land"]
+
+##### Titlepage #######
+Certificate = str(doc_cal["Calibration"]["Certificate"])
+ReferenceNo = doc_cal["Calibration"]["Presettings"]["ReferenceNo"]
+Name= doc_cal["Calibration"]["Customer"]["Name"]
+AddName= doc_cal["Calibration"]["Customer"]["AddName"]
+Street= doc_cal["Calibration"]["Customer"]["Address"]["Street"]
+Town= doc_cal["Calibration"]["Customer"]["Address"]["Town"]
+Zipcode= doc_cal["Calibration"]["Customer"]["Address"]["Zipcode"]
+ObjectOfCalibration= doc_cal["Calibration"]["CustomerObject"]["Type"]
+Producer= doc_cal["Calibration"]["CustomerObject"]["Device"]["Producer"]
+Type= doc_cal["Calibration"]["CustomerObject"]["Device"]["Type"] ########## Type
+Object= doc_cal["Calibration"]["CustomerObject"]["Type"] ########## Gegenstand/Object
+Serial= doc_cal["Calibration"]["CustomerObject"]["Name"] ########## Kennummer
+Examiner= doc_cal["Calibration"]["Measurement"]["Maintainer"]
+ByOrder= "Dr. Matthias Bernien"
+MeasurementDate= doc_cal["Calibration"]["Result"]["Formula"]["MeasurementDate"]
+
+print(MeasurementDate)
+
+obj ='\\object{'+ Object + '}\n'
+manufacturer = '\\manufacturer{' + Producer +' }\n'
+typ = '\\type{' + Type + '}\n'
+serialNo = '\\serialNo{' + Serial + '}\n'
+applicant = '\\applicant{{' + Name + '}\n {' + Street + '} \n {' + Zipcode + Town +'}\n {' + Land+'}}\n'
+refNo = '\\refNo{ ' + ReferenceNo + '}\n'
+calibMark = '\\calibMark{ ' +' ' + Certificate + ' PTB 23}\n'
+calibDate = '\\calibDate{' + MeasurementDate + '}\n'
+examiner = '\\examiner{' + Examiner + '}\n'
+certificateDate = '\\certificateDate{' + CertificateDate + '}\n'
+
+
+################## Ergebnisse ###################################################
+NoOfMeasurements= doc_cal["Calibration"]["Result"]["Formula"]["NoOfMeasurements"]
+TemperatureTL= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTL"]
+
+PressureUpstream= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstream"]
+PressureUpstreamMin= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstreamMin"]
+PressureUpstreamMax= doc_cal["Calibration"]["Result"]["Formula"]["PressureUpstreamMax"]
+LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
+PressureAtmosmin= doc_cal["Calibration"]["Result"]["Formula"]["PressureAtmosmin"] ####### Pascal
+a =float(PressureUpstreamMin)
+b = f'{a:1f}'
+PressureUpstreamMin = b[:-2]
+PressureAtmosmax= doc_cal["Calibration"]["Result"]["Formula"]["PressureAtmosmax"]
+a =float(PressureUpstreamMax)
+b = f'{a:1f}'
+PressureUpstreamMax = b[:-2]
+FlowMol= doc_cal["Calibration"]["Result"]["Formula"]["FlowMol"]
+FlowpV= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV"]
+LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
+TextDE= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["de"]
+TextEN= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["en"]
+
+###############################################################################################################################################################
+
+
+
+
+
+####### Überschriften ######################
+
+######## Deutsch ##########################
+
+sectionDescriptionTitle = 'Beschreibung zum Kalibriergerät'
+sectionTitelProcedure = 'Kalibrierverfahren '
+sectionTitelResult = 'Messergebnis '
+sectionTitelUncertainty = 'Unsicherheit '
+
+
+
+
+######## Englisch ##########################
+
+sectionDescriptionTitle_en = 'Description relating to calibration device'
+sectionTitelProcedure_en = 'Calibration procedure '
+sectionTitelResult_en = 'Measurement results'
+sectionTitelUncertainty_en = 'Uncertainty of Calibration'
+
+
+
+####### Überschriften Ende ######################
+
+
+####### Formeln ####################
+
+q_pV_allg = ' \\[ q_{pV} = p_{\\text{atm}} \\cdot \\frac{\\Delta V}{\\Delta t}\\] \n '
+q_mol_allg = ' \\[ q_\\text{mol} = \\frac{q_{pV}}{RT}\\] \n '
+q_mol_Val= 'q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{ ' + FlowMol + ' }{\\mol\\per\\second}'
+q_pV_Val_all = '\\[q_{pV}(\\vartheta_\\text{Ch}) = q_{\\text{mol}}(\\vartheta_\\text{TL})\\cdot R \\cdot (\\vartheta_\\text{Ch} + T_0)\\] '
+q_pV_Val = 'q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}' ######### Wichtig beim deutsch/englisch Text , der Wert steht beim Englisch in einer Zeile
+
+######## Tabellen um die Formeln zu zentriert. Bei den deutsch englischen Kalibrierschein stehen beide Ergebnisse direkt untereinander###########################
+
+tab_q_mol_Val= '\\begin{center}\\begin{tabular}[h]{c} $$$' + q_mol_Val + '$$$ \\\\ $$$\\begin{english} ' + q_mol_Val + ' \\end{english}$$$ \\end{tabular}\\end{center}'
+tab_q_mol_Val_en= ' \\[ ' + q_mol_Val + '\\] \n'
+
+tab_q_pV_Val= '\\begin{center}\\begin{tabular}[h]{c} $$$' + q_pV_Val + '$$$ \\\\ $$$\\begin{english} '+ q_pV_Val + '\\end{english}$$$ \\end{tabular}\\end{center}'
+tab_q_pV_Val_en= ' \\[ ' + q_pV_Val + '\\] \n'
+
+
+######## Formeln Ende ######################
+
+
+
+
+
+
+
+
+###### 1. Section: Beschreibung zum Kalibriergerät ###################
+
+
+sectionDiscription_1= TextDE ###### Beschreibung aus dem cal-Dokument
+sectionDiscription_1_en= TextEN ###### Beschreibung aus dem cal-Dokument
+
+
+if (sectionDiscription_noyes!= 'yes'):
+
+ sectionDiscription_2= " Dies ist die erste von der PTB durchgeführte Kalibrierung."
+ sectionDiscription_2_en= "This is the previous calibration at PTB."
+ print(" 1. durchgeführte Kalibrierung")
+
+else:
+
+ sectionDiscription_2= " Die von der PTB zuletzt durchgeführten Kalibrierung ist im Kalibrierschein " + last_cert + " beschrieben."
+ sectionDiscription_2_en= " The previous calibration at PTB had been carried out " + last_cert_year + ' with the calibration mark ' + last_cert + " ."
+
+
+
+
+sectionDiscription_1_en= TextEN ###### Beschreibung aus dem cal-Dokument
+
+sectionDiscription = '\\section{' + sectionDescriptionTitle + '\\linebreak {\\small \\emph{' + sectionDescriptionTitle_en + '}}}\n' + sectionDiscription_1 + sectionDiscription_2 + '\n' + '\\begin{english}' + TextEN + sectionDiscription_2_en + '\\end{english} \n'
+sectionDiscription_en = '\\section{' + sectionDescriptionTitle_en +'}\n' + TextEN + sectionDiscription_2_en
+
+
+print(sectionDiscription, " Discription funktioniert")
+
+
+####### 2. Section: Procedure ###################################
+
+
+sectionProcedure1='''Der gemäß DIN 28400, Teil 1, definierte \\(pV\\)-Durchfluss \\(q_{pV}\\) des aus dem Testleck gegen Atmosphäre ausströmenden Gases wird mit dem Primärnormal TL2 des Labors für Vakuummetrologie der PTB bestimmt.
+Das Testleck ist dazu an einer kleinen abgeschlossenen Kammer mit veränderbarem Volumen angeflanscht. Die Kammer des Primärnormals und das Testleck sind gemeinsam thermisch von der Umgebung isoliert.
+Um den Druck \\(p_{\\text{atm}}\\) (atmosphärischer Luftdruck) in dem Behälter bei einströmendem Gas aus dem Testleck konstant zu halten, wird das Volumen vergrößert.
+Der \\(pV\\)-Durchfluss \\(q_{pV}\\) bei der Temperatur \\(T\\) (in K) und der zeitlichen Volumenänderung (\\(\\Delta V/\\Delta t\\)) im Primärnormal ist gegeben durch \n '''
+sectionProcedure2=''' Der Druck \\(p_{\\text{atm}}\\) wird mit einem kalibrierten digitalen Manometer gemessen.
+Die zeitliche Volumenänderung (\\(\\Delta V/\\Delta t\\)) wird mit Hilfe einer kalibrierten Nadel und einer elektronischen Uhr bestimmt.
+Die molare Durchflussrate \\(q_{\\text{mol}}\\) wird nach folgender Beziehung berechnet\n '''
+sectionProcedure3=' Die molare Gaskonstante \\(R\\) hat den Wert 8,3145~\\(\\text{Pa}\\)~\\(\\text{m}^3\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\).'
+
+
+sectionProcedure1_en ='''The gas flow \\(q_{pV}\\) of the leak defined by ISO 3529-1 flowing against atmosphere is measured in the primary test leak standard TL2 of PTB.
+The leak is connected to a small chamber of variable size. The chamber of the primary standard and the test leak are thermally isolated from the environment.
+The gas of the leak flowing into the chamber causes an increasing pressure, which is compensated by a change of the volume.
+The leak rate \\(q_{pV}\\) is calculated from the temporal volume change (\\(\\Delta V/\\Delta t\\)) and the pressure \\(p_{\\text{atm}}\\) (atmospheric pressure) inside the chamber at the temperature \\(T\\) (in K) via '''
+sectionProcedure2_en=''' The pressure \\(p_{\\text{atm}}\\) is measured by means of a calibrated digital pressure gauge.
+The temporal volume change \\(\\Delta V/\\Delta t\\) is obtained of a calibrated needle and an electronic clock. The molar leak rate \\(q_{\\text{mol}}\\) of the test leak can be calculated by the following equation:'''
+sectionProcedure3_en=' The molar gas constant \\(R\\) has the value 8.3145~\\(\\text{Pa}\\)~\\(\\text{m}^3\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\).'
+
+
+sectionProcedure = '\\section{' + sectionTitelProcedure + '\\linebreak {\\small \\emph{' + sectionTitelProcedure_en + '}}}\n' + sectionProcedure1 + '\\begin{english}' + sectionProcedure1_en + '\\end{english} \n' + q_pV_allg + sectionProcedure2 + '\\begin{english}' + sectionProcedure2_en + '\\end{english} \n' + q_mol_allg + sectionProcedure3 + '\\begin{english}' + sectionProcedure3_en +'\\end{english} \n'
+sectionProcedure_en = '\\section{' + sectionTitelProcedure_en + '}\n' + sectionProcedure1_en + q_pV_allg + sectionProcedure2_en + q_mol_allg + sectionProcedure3_en
+
+
+####### 3. Section: Result ###################################
+
+sectionResult1 = 'Mit dem Testleck wurden insgesamt ' + NoOfMeasurements + ' Leckratenbestimmungen an verschiedenen Tagen bei der Testlecktemperatur \\( \\vartheta_\\text{TL}= \\num{ ' + TemperatureTL + '}\\pm \\SI{0.1}{\\degreeCelsius} \\) durchgeführt.\n Die Atmosphärendrücke lagen zwischen \\(p_{\\text{atm}_1}=(\\num{ ' + PressureAtmosmin + '}\\pm \\SI{0.1})~ \\si{Pa} \\) und \\(p_{\\text{atm}_2}=(\\num{ ' +PressureAtmosmax + '} \\pm \\num{0.1})~ \\si{Pa} \\).\n'
+sectionResult2 = 'Daraus kann für den Ort mit einer Temperatur \\(\\vartheta_\\text{Ch}\\) in \\si{\\degreeCelsius}, an dem sich das Testleck befindet, mit \\(T_0 = \\SI{273.15}{\\kelvin}\\), der \\(pV\\)-Durchfluss nach folgender Beziehung berechnet werden.'
+sectionResult3 = '\\linebreak Bei einer Temperatur \\( \\vartheta_\\text{Ch}= \\SI{ 23 }{\\degreeCelsius} \\) ergibt sich ein \\(pV\\)-Durchfluss \\(q_{pV}\\) von '
+sectionResult4 = 'Die relative Unsicherheit \\(U\\) der angegebenen Leckraten beträgt \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
+
+
+sectionResult_std = 'Die mittlere molare Leckrate ergab einen Wert von:\n'
+sectionResult_std_en = 'The mean leak rate (molar flow) was determined to:\n'
+
+sectionResult_pup_mean = 'Die mittlere molare Leckrate, bei einem relativ zur Atmosphäre eingestellten Druck von \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) ergab einen Wert von:\n'
+sectionResult_pup_mean_en = 'The mean leak rate (molar flow) for relativ pressure \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) at the upstream pressure side was determined to:\n'
+
+sectionResult_pup_int1 = 'Die molare Leckrate, bei einem relativ zur Atmosphäre eingestellten Druck von \\( p_\\text{up}= \\SI{ ' + PressureUpstream + '}{\\kPa} \\) ergab einen Wert von:'
+sectionResult_pup_int2 = 'Der Wert ergab sich aus der Interpolation der gemessenen Werte in einem Bereich von \\(p_{\\text{up}_1}=(\\num{ ' + PressureUpstreamMin + '}\\pm \\SI{0.1})~ \\si{kPa} \\) and \\(p_{\\text{up}_2}=(\\num{ ' + PressureUpstreamMax + '}\\pm \\SI{0.1})~ \\si{kPa} \\). Die Unsicherheit des relativ eingestellten Drucks ist \\( \\SI{0.5}{\\percent} \\).'
+
+sectionResult1_en = NoOfMeasurements + ' measurements were carried out on several days at a leak temperature \\( \\vartheta_\\text{TL}= \\num{ ' + TemperatureTL + '}\\pm \\SI{0.1}{\\degreeCelsius} \\) (thermostated) and an atmospheric pressure between \\(p_{\\text{atm}_1}=(\\num{ ' + PressureAtmosmin + ' }\\pm \\SI{0.1})~ \\si{ Pa} \\) and \\(p_{\\text{atm}_2}=(\\num{ ' + PressureAtmosmax + ' } \\pm \\num{0.1})~ \\si{ Pa} \\).'
+sectionResult2_en = ' From this the \\(pV\\)-flow can be calculated for a place at a temperature \\(\\vartheta_\\text{Ch}\\) (in \\si{\\degreeCelsius}), where a device under test is mounted and \\(T_0 = \\SI{273.15}{\\kelvin}\\), by the equation '
+sectionResult3_en = 'At the temperature \\( \\vartheta_\\text{Ch}= \\SI{ 23 }{\\degreeCelsius} \\) the flow rate is'
+sectionResult4_en = 'The relative uncertainty \\(U\\) of the stated leak rate are \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
+
+if res == 1:
+ print ( "Standartmessung - mit Reservoir" )
+ sectionResult = '\\section{' + sectionTitelResult + '\\linebreak {\\small \\emph{' + sectionTitelResult_en + '}}}\n' + sectionResult1 + sectionResult_std + '\\begin{english}' + sectionResult1_en + sectionResult_std_en + '\\end{english} ' + tab_q_mol_Val
+ sectionResult_en = '\\section{' + sectionTitelResult_en + '}\n' + sectionResult1_en + sectionResult_std_en + tab_q_mol_Val_en
+
+
+
+
+else:
+ if(analy!='mean'):
+ print ( "Standartmessung - ohne Reservoir" )
+
+ sectionResult = '\\section{' + sectionTitelResult + '\\linebreak {\\small \\emph{' + sectionTitelResult_en + '}}}\n'
+ + sectionResult1 + sectionResult_pup_mean + q_mol_Val
+ + '\\begin{english}' + sectionResult1_en + ' The mean leak rate (molar flow) was determined to:' + q_mol_Val + '\\end{english} \n'
+
+
+sectionResult = sectionResult + sectionResult2 + '\\begin{english}' + sectionResult2_en + '\\end{english} \n' + q_pV_Val_all + sectionResult3 + '\\begin{english}' + sectionResult3_en + '\\end{english} \n' + tab_q_pV_Val + sectionResult4 + '\\begin{english}' + sectionResult4_en + '\\end{english} \n'
+sectionResult_en = sectionResult_en + sectionResult2_en + q_pV_Val_all + sectionResult3_en + tab_q_pV_Val_en + sectionResult4_en
+
+
+
+
+
+####### 4. Section: Uncertainty ###################################
+
+sectionU1 = 'Angegeben ist die erweiterte Messunsicherheit \\(U\\), die sich aus der Standardmessunsicherheit durch Multiplikation mit dem Erweiterungsfaktor \\(k = 2\\) ergibt. Sie wurde gemäß dem „Guide to the Expression of Uncertainty in Measurement (GUM)“ ermittelt. Der Wert der Messgröße liegt dann im Regelfall mit einer Wahrscheinlichkeit von annähernd \\SI{95}{\\percent} im zugeordneten Überdeckungsintervall.\n '
+sectionU1_en = 'The uncertainty \\(U\\) stated is the expanded measurement uncertainty obtained by multiplying the standard measurement uncertainty by the coverage factor \\(k = 2\\). It has been determined in accordance with the “Guide to the Expression of Uncertainty in Measurement (GUM)”. The value of the measurand then normally lies, with a probability of approximately \\SI{95}{\\percent} within the attributed coverage interval.'
+
+sectionU = '\\section{' + sectionTitelUncertainty + '\\linebreak {\\small \\emph{' + sectionTitelUncertainty_en + '}}}\n' + sectionU1 + '\\begin{english}' + sectionU1_en + '\\end{english} \n'
+sectionU_en = '\\section{' + sectionTitelUncertainty_en + '}\n' + sectionU1_en
+
+
+
+if(lang!='en'):
+ print("Kalibrierschein in deutsch",lang)
+
+ with open(ks,'w', encoding='utf-8') as file:
+
+ file.write('\\listfiles\n')
+ file.write('\\documentclass[de,KK,noCMC]{kalibrierschein}\n ')
+ file.write(obj)
+ file.write(manufacturer)
+ file.write(typ)
+ file.write(serialNo)
+ file.write(applicant)
+ file.write(refNo)
+ file.write(calibMark)
+ file.write(calibDate)
+ file.write('\\byOrder{Dr. M.Bernien}\n')
+ file.write(examiner)
+ file.write(certificateDate)
+
+ file.write('\\begin{document}\n')
+
+ file.write('\\printFirstPage\n')
+ file.write(sectionDiscription)
+
+
+
+ file.write(sectionProcedure)
+ file.write('\\pagebreak ')
+ file.write(sectionResult)
+ file.write(sectionU)
+
+
+
+ file.write('\\pagebreak ')
+
+ file.write('\\printLastPage')
+ file.write('\\end{document}\n')
+ print("bis hier funktioniert")
+else:
+ print('"Kalibrierschein in ',lang, "en")
+
+
+ with open(ks,'w', encoding='utf-8') as file:
+
+ file.write('\\listfiles\n')
+ file.write('\\documentclass[en,KK,noCMC]{kalibrierschein}\n ')
+ file.write(obj)
+ file.write(manufacturer)
+ file.write(typ)
+ file.write(serialNo)
+ file.write(applicant)
+ file.write(refNo)
+ file.write(calibMark)
+ file.write(calibDate)
+ file.write('\\byOrder{Dr. M.Bernien}\n')
+ file.write(examiner)
+ file.write(certificateDate)
+
+ file.write('\\begin{document}\n')
+
+ file.write('\\printFirstPage\n')
+ file.write(sectionDiscription_en)
+
+
+
+ file.write(sectionProcedure_en)
+ file.write(sectionResult_en)
+ file.write(sectionU_en)
+
+
+
+ file.write('\\pagebreak ')
+
+ file.write('\\printLastPage')
+ file.write('\\end{document}\n')
+ print("bis hier funktioniert")
+
+
+ ####################Erstellung des cer-Dokuments ##########################
+
+
+
+ ##### Doukument "cer" wird erstellt#######
+
+
+MeasurementDateBegin = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
+MeasurementDateBegin = MeasurementDateBegin[0]
+MeasurementDateEnd = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
+MeasurementDateEnd = MeasurementDateEnd[0]
+DeviceClass= "TLA"
+
+
+doc_cer["Certificate"]={"Meta":{"std": ["TL2"],
+ "id":[id_],
+ "kind" :[kind],
+ "gas": [gas],
+ "lang":lang,
+ "calibration_type":calibration_type,
+ "last_cert":last_cert}}
+
+doc_cer["Certificate"]["Titlepage"]={"CertificateDate" :CertificateDate,
+ "FullYear": "2024",
+ "ShortYear": "24",
+ "MeasurementDate": MeasurementDate,
+ "MeasurementDateBegin": MeasurementDateBegin,
+ "MeasurementDateEnd": MeasurementDateEnd,
+ "Certificate": Certificate,
+ "ReferenceNo": ReferenceNo,
+ "Customer": {
+ "Name": Name,
+ "AddName": AddName,
+ "Street": Street,
+ "Town": Town,
+ "Zipcode": Zipcode,
+ "Land": Land,
+ "CountryCode": Land },
+ "ObjectOfCalibration": ObjectOfCalibration,
+ "Producer": Producer,
+ "Type": Type,
+ "Object": Object,
+ "Serial": Serial ,
+ "Examiner": Examiner,
+ "DeviceClass": DeviceClass,
+ "ByOrder": ByOrder,
+ }
+
+
+doc_cer["Certificate"]["Section"]= [{"Heading": "Description relating to calibration device","Paragraph":sectionDiscription},
+ {"Heading": "Calibration procedure","Paragraph":sectionProcedure},
+ {"Heading": "Measurement results","Paragraph":sectionResult},
+ {"Heading": "Uncertainty of Calibration","Paragraph":sectionU}],
+
+doc_cer["Certificate"]["Formula"]={"NoOfMeasurements": NoOfMeasurements,
+ "FlowMol": FlowMol,
+ "FlowpV":FlowpV,
+ "TemperatureTL": TemperatureTL,
+ "LeakUncertainty": LeakUncertainty,
+ "MeasurementDate": MeasurementDate,
+ "PressureUpstream": PressureUpstream,
+ "PressureAtmosmin": PressureAtmosmin,
+ "PressureAtmosmax": PressureAtmosmax,
+ }
+
+
+
+ #
+ #
+ #
+
+db.save(doc_cer)
+
+
+
+
+
+
\ No newline at end of file
diff --git a/writeLaTex-ks-TL1.py b/writeLaTex-ks-TLV.py
similarity index 98%
rename from writeLaTex-ks-TL1.py
rename to writeLaTex-ks-TLV.py
index f9684e3..4a05121 100644
--- a/writeLaTex-ks-TL1.py
+++ b/writeLaTex-ks-TLV.py
@@ -1,435 +1,435 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Tue Aug 23 09:45:09 2022
-
-@author: becker07
-"""
-
-import time
-import couchdb
-from datetime import date
-couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
-db = couch['vl_db'] # existing
-
-
-## Eingabe von:
-# - Kalibrierscheinnummer
-# - Jahr der Kalibrierung
-# - laufende Nummer der Kalibrierung
-
-cal_cert = "75573"
-year = "2024"
-year_Mark=year[2:]
-print(year_Mark)
-no = "0001"
-CertificateDate = str(date.today())
-
-
-json_file_cer = "cer-" + year + "-" + cal_cert
-
-print(json_file_cer)
-
-
-id_cer = 0
-
-mango = {'selector': {'_id':json_file_cer}}
-for i in db.find(mango):
- id_cer = 1
-
-print(id_cer)
-
-
-doc = {'_id': json_file_cer}
-
-if id_cer == 0:
- db.save(doc)
- print ( "Warten! 30 Sekunden" )
- time.sleep ( 30 )
- print ( json_file_cer," ist in der Couch angelegt" )
-
-else:
- print ( json_file_cer," ist bereits in der Couch angelegt" )
-
-
-id_ = "cal-" + year + "-fm1-kk-" + cal_cert + "_" + no
-ks = "C:\\Users\\becker07\\kalibrierschein\\ks-" + cal_cert + "-" + year + ".tex"
-
-cer = "cer-" + year + "-" + cal_cert
-
-json_file_cal = id_
-json_file_cer = cer
-doc_cal = db.get(json_file_cal)
-doc_cer = db.get(json_file_cer)
-
-
-print(json_file_cal)
-
-
-
-##### Meta #######
-
-kind = doc_cal["Calibration"]["ToDo"]["Type"]
-gas = doc_cal["Calibration"]["ToDo"]["Gas"]
-lang = doc_cal["Calibration"]["Customer"]["Lang"]
-calibration_type = "KK"
-last_cert_no = doc_cal["Calibration"]["Presettings"]
-
-
-###### überprüfen ob eine letztes Cal-Zeichen gibt #########################
-
-if "LastCalibrationYear" in last_cert_no:
- print("\"last_cert_no\" ist vorhanden.")
- last_cert_no = doc_cal["Calibration"]["Presettings"]["LastCalibrationCertificate"]
- last_cert_year = doc_cal["Calibration"]["Presettings"]["LastCalibrationYear"]
- last_cert = last_cert_no + "\\,PTB\\," + last_cert_year[2:]
- sectionDiscription_noyes= "yes"
- print(last_cert)
-
-else:
- print("\"last_cert_no\" ist nicht vorhanden.")
- sectionDiscription_noyes= "no"
- last_cert = ""
-
-
-
-
-
-
-##### Titlepage #######
-
-
-MeasurementDateBegin = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
-MeasurementDateBegin = MeasurementDateBegin[0]
-MeasurementDateEnd = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
-MeasurementDateEnd = MeasurementDateEnd[0]
-
-
-CountryCode= lang
-DeviceClass= "TLV"
-
-Standard = doc_cal["Calibration"]["ToDo"]["Standard"]
-Land= doc_cal["Calibration"]["Customer"]["Address"]["Land"]
-
-##### Titlepage #######
-Certificate = str(doc_cal["Calibration"]["Certificate"])
-ReferenceNo = doc_cal["Calibration"]["Presettings"]["ReferenceNo"]
-Name= doc_cal["Calibration"]["Customer"]["Name"]
-AddName= doc_cal["Calibration"]["Customer"]["AddName"]
-Street= doc_cal["Calibration"]["Customer"]["Address"]["Street"]
-Town= doc_cal["Calibration"]["Customer"]["Address"]["Town"]
-Zipcode= doc_cal["Calibration"]["Customer"]["Address"]["Zipcode"]
-ObjectOfCalibration= doc_cal["Calibration"]["CustomerObject"]["Type"]
-Producer= doc_cal["Calibration"]["CustomerObject"]["Device"]["Producer"]
-Type= doc_cal["Calibration"]["CustomerObject"]["Device"]["Type"] ########## Type
-Object= doc_cal["Calibration"]["CustomerObject"]["NameCer"] ########## Gegenstand/Object
-Serial= doc_cal["Calibration"]["CustomerObject"]["Name"] ########## Kennummer
-Examiner= doc_cal["Calibration"]["Measurement"]["Maintainer"]
-ByOrder= "Dr. Matthias Bernien"
-MeasurementDate= doc_cal["Calibration"]["Result"]["Formula"]["MeasurementDate"]
-QMS= doc_cal["Calibration"]["Result"]["Formula"]["QMS"]
-
-print(MeasurementDate)
-
-obj ='\\object{'+ Object + '}\n'
-manufacturer = '\\manufacturer{' + Producer +' }\n'
-typ = '\\type{' + Type + '}\n'
-serialNo = '\\serialNo{' + Serial + '}\n'
-applicant = '\\applicant{{' + Name + '}\n {' + Street + '} \n {' + Zipcode +' ' + Town +'}\n {' + Land+'}}\n'
-refNo = '\\refNo{ ' + ReferenceNo + '}\n'
-calibMark = '\\calibMark{ ' + Certificate + ' PTB ' + year_Mark + '}\n'
-print(calibMark)
-calibDate = '\\calibDate{' + MeasurementDate + '}\n'
-examiner = '\\examiner{' + Examiner + '}\n'
-certificateDate = '\\certificateDate{' + CertificateDate + '}\n'
-
-##################section Beschreibung zum Kalibriergerät
-
-
-if (sectionDiscription_noyes!= 'yes'):
-
- sectionDiscription_2= " Dies ist die erste von der PTB durchgeführte Kalibrierung."
- sectionDiscription_2_en= "This is the first calibration at PTB."
- print(" 1. durchgeführte Kalibrierung")
-
-else:
-
- sectionDiscription_2= " Die von der PTB zuletzt durchgeführten Kalibrierung ist im Kalibrierschein " + last_cert + " beschrieben."
- sectionDiscription_2_en= " The previous calibration at PTB had been carried out " + last_cert_year + ' with the calibration mark ' + last_cert + " ."
-
-
-TextDE= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["de"]
-TextEN= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["en"]
-
-sectionText_title_de = 'Beschreibung zum Kalibriergerät '
-sectionText_title_en = 'Description relating to calibration device'
-sectionTitleText_de = '\\section{' + sectionText_title_de + '\\linebreak {\\small \\emph{' + sectionText_title_en + 'Description relating to calibration device}}}\n' + TextDE + sectionDiscription_2+'\n' + '\\begin{english}' + TextEN + sectionDiscription_2_en +'\\end{english} \n'
-sectionTitleText_en = '\\section{' + sectionText_title_en + ' }\n' + TextEN +sectionDiscription_2_en +'\n'
-
-
-
-
-
-
-
-######################### Messverfahren #########################################################################
-
-sectionTitelProcedure = 'Kalibrierverfahren '
-sectionTitelProcedure_en = 'Calibration procedure'
-sectionTitelProcedure_text_en = '\\section{' + sectionTitelProcedure_en + '}\n '
-sectionTitelProcedure_text = '\\section{' + sectionTitelProcedure + '\\linebreak {\\small \\emph{' + sectionTitelProcedure_en + '}}}\n '
-
-sectionProcedure1='Der aus dem thermostatisierten Testleck TL austretende Gasfluss wird mit Hilfe eines Massenspektrometers mit einem annähernd gleich groß eingestellten Gasfluss \\(q_{\\text{mol, FM}}\\) verglichen, dessen Größe mit einem Durchflussmesser (Flowmeter FM) bestimmt wird. Die Durchflussmessung erfolgt bei konstantem Druck \\(p_\\text{FM}\\) und konstanter Temperatur \\(T_{\\text{FM}}\\).\n '
-sectionProcedure1_en ='The gas flow from the leak TL is compared with a gas flow \\(q_{\\text{mol, FM}}\\) of about the same flow rate from a flow meter FM by a mass spectrometer. The flow measurement is operated at constant pressure \\(p_{\\text{FM}}\\) and constant (absolute) temperature \\(T_{\\text{FM}}\\). \n'
-sectionProcedureE1 = ' \\[ q_{\\text{mol, FM}} = p_{\\text{FM}} \\cdot C \\cdot \\frac{1}{R \\cdot T_{\\text{FM}}} \\] '
-sectionProcedure2=' Der Druck \\(p_{\\text{FM}}\\) wurde mit einem kapazitiven Membranvakuummeter gemessen. Dieses Gerät ist durch Vergleich mit einem Primärnormal der PTB kalibriert worden. Der Leitwert \\(C\\) wird aus der zeitlichen Volumenänderung (\\(\\Delta V/\\Delta t\\)) eines zusammendrückbaren, kalibrierten Federbalgs (\\(\\Delta V\\)) und einer elektronischen Uhr (\\(\\Delta t\\)) ermittelt. Die molare Gaskonstante \\(R\\) hat den Wert 83,145~\\(\\text{mbar}\\)~\\(\\text{l}\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\). \n '
-sectionProcedure2_en=' The pressure \\(p_{\\text{FM}}\\) is measured with a capacitance diaphragm gauge. This gauge is calibrated by comparison with a primary standard of PTB. The conductance \\(C\\) of the capillary integrated in the flow meter is obtained from the temporal volume change (\\(\\Delta V/\\Delta t\\)) that is needed to keep \\(p_\\text{FM}\\) constant. It is measured by means of a calibrated bellow and an electronic clock. The molar gas constant \\(R\\) has the value 83.145~\\(\\text{mbar}\\)~\\(\\text{l}\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\). '
-sectionProcedureE3 = ' \\[ q_{\\text{mol, TL}} = q_{\\text{mol, FM}} \\cdot \\frac{S_{\\text{TL}}}{S_{\\text{FM}}} \\] '
-sectionProcedure3=' Die Leckrate \\(q_{\\text{mol, TL}}\\) des Testlecks wird nach folgender Beziehung berechnet:'
-sectionProcedure3_en=' The molar leak rate \\(q_{\\text{mol, TL}}\\) of the test leak can be calculated by the following equation:'
-sectionProcedure4=' mit \\(S_\\text{TL}\\) dem Signal am Massenspektrometer für den Gasfluss des Testlecks und \\(S_\\text{FM}\\) dem Signal am Massenspektrometer für den eingestellten Vergleichsgasfluss.'
-sectionProcedure4_en=' whereby \\(S_{\\text{TL}}\\) is the signal at the mass spectrometer for the gas flow from the test leak and \\(S_{\\text{FM}}\\) the signal at the mass spectrometer for the gas flow from the flow meter.'
-
-
-
-sectionProcedure_text= sectionProcedure1 + sectionProcedure2 +'\\begin{english}' + sectionProcedure1_en + sectionProcedure2_en + '\\end{english}' + sectionProcedureE1 + sectionProcedure3 + '\\begin{english}' + sectionProcedure3_en + '\\end{english} '+ sectionProcedureE3 + sectionProcedure4 + '\\begin{english}' + sectionProcedure4_en + '\\end{english} '
-sectionProcedure_text_en= sectionProcedure1_en + sectionProcedure2_en + sectionProcedureE1 + sectionProcedure3_en + sectionProcedureE3 + sectionProcedure4_en + '\n'
-
-
-
-
-################## Ergebnisse ###################################################
-
-NoOfMeasurements= doc_cal["Calibration"]["Result"]["Formula"]["NoOfMeasurements"]
-FlowMol= doc_cal["Calibration"]["Result"]["Formula"]["FlowMol"]
-FlowpV23= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV23"]
-FlowpV2X= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV2X"]
-TemperatureTL= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTL"]
-TemperatureTLx= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTLx"]
-
-
-QMS= doc_cal["Calibration"]["Result"]["Formula"]["QMS"]
-Gauge= doc_cal["Calibration"]["Result"]["Formula"]["Gauge"]
-LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
-print("TLX= ",TemperatureTLx)
-
-sectionTitelMeasurement = 'Messergebnis '
-sectionTitelMeasurement_en = 'Measurement results'
-sectionTitelMeasurement_text_en = '\\section{' + sectionTitelMeasurement_en + '}\n '
-sectionTitelMeasurement_text = '\\section{' + sectionTitelMeasurement + '\\linebreak {\\small \\emph{' + sectionTitelMeasurement_en + '}}}\n '
-
-
-sectionResultMol = 'Mit dem thermostatisierten Testleck wurden insgesamt ' + NoOfMeasurements + '~Leckratenbestimmungen bei einer Testlecktemperatur von \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) durchgeführt. Der Mittelwert ergab die (molare) Leckrate: '
-sectionResultMol_en = NoOfMeasurements + '~measurements were carried out at a leak temperature of \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) (thermostated). The mean leak rate (molar flow) was determined to: '
-sectionResultMol_pup_en = NoOfMeasurements + '~measurements were carried out at a leak temperature of \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) (thermostated). The mean leak rate (molar flow) for relativ pressure \\( p_{\\text{up}}=\\SI{0.0}{\\bar} \\) (leak indication) at the upstream pressure side was determined to: '
-
-sectionResultMolVal= '\\[ q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{' + FlowMol + '}{\\mol\\per\\second} \\] '
-sectionResultMolVal_en= '\\( q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{' + FlowMol + '}{\\mol\\per\\second} \\) '
-sectionResultpV = 'Daraus kann für den Ort mit einer Temperatur \\(\\vartheta_\\text{Ch}\\) in \\si{\\degreeCelsius}, an dem sich der Prüfling befindet und mit \\(T_0 = \\SI{273.15}{\\kelvin}\\), der \\(pV\\)-Durchfluss nach folgender Beziehung berechnet werden.'
-sectionResultpV_en = 'From this the \\(pV\\)-flow can be calculated for a place at a temperature \\(\\vartheta_\\text{Ch}\\) (in \\si{\\degreeCelsius}), where a device under test is mounted and \\(T_0 = \\SI{273.15}{\\kelvin}\\), by the equation:'
-sectionResultpVVal = '\\[q_{pV}(\\vartheta_\\text{Ch}) = q_{\\text{mol}}(\\vartheta_\\text{TL})\\cdot R \\cdot (\\vartheta_\\text{Ch} + T_0)\\] '
-
-sectionResultpV_T = 'Bei einer Kammertemperatur von \\( \\vartheta_\\text{TL}= \\SI{23}{\\degreeCelsius} \\) beträgt die Leckrate \\( q_{pV}(\\SI{23}{\\degreeCelsius}) \\):'
-sectionResultpV_T_en = 'At a chamber temperature \\(\\vartheta_\\text{Ch}=\\SI{23}{\\degreeCelsius}\\) the leak rate \\(q_{pV}(\\SI{23}{\\degreeCelsius})\\) will be:'
-
-sectionResultpV_Tx = 'und bei einer Kammertemperatur von \\( \\vartheta_\\text{TL}= \\SI{'+ TemperatureTLx +'}{\\degreeCelsius} \\) beträgt die Leckrate \\( q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius}) \\):'
-sectionResultpV_Tx_en = 'and at a chamber temperature \\(\\vartheta_\\text{Ch}=\\SI{'+ TemperatureTLx +'}{\\degreeCelsius}\\) the leak rate \\(q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius})\\) will be:'
-
-sectionResultpVVal_T23 = ' \\[q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV23 + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\]'
-sectionResultpVVal_T23_en = '\\( q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV23 + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\)'
-sectionResultpVVal_Tx = ' \\[q_{pV}(\\SI{' + TemperatureTLx + '}{\\degreeCelsius})= \\num{' + FlowpV2X + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\]'
-sectionResultpVVal_Tx_en = ' \\( q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius})= \\num{' + FlowpV2X + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\)'
-
-
-sectionResultU = 'Die relative Unsicherheit \\(U\\) der angegebenen Leckraten beträgt \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
-sectionResultU_en = 'The relative uncertainty \\(U\\) of the stated leak rate is \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\). '
-
-
-sectionResult = sectionResultMol + sectionResultMolVal +'\\begin{english}' + sectionResultMol_en + sectionResultMolVal_en + '\\end{english}' + sectionResultpV + '\\begin{english}' + sectionResultpV_en +'\\end{english}' + sectionResultpVVal + '\\linebreak ' + sectionResultpV_T + sectionResultpVVal_T23 + '\\begin{english}' + sectionResultpV_T_en + sectionResultpVVal_T23_en + '\\end{english}' + sectionResultU + '\\begin{english}' + sectionResultU + '\\end{english}'
-sectionResult_Tx = sectionResultMol + sectionResultMolVal +'\\begin{english}' + sectionResultMol_en + sectionResultMolVal_en + '\\end{english}' + sectionResultpV + '\\begin{english}' + sectionResultpV_en +'\\end{english}' + sectionResultpVVal + sectionResultpV_T + sectionResultpVVal_T23 + sectionResultpV_Tx + sectionResultpVVal_Tx + '\\begin{english}' + sectionResultpV_T_en + sectionResultpVVal_T23_en + sectionResultpV_Tx_en + sectionResultpVVal_Tx_en + '\\end{english}' + sectionResultU + '\\begin{english}' + sectionResultU + '\\end{english}'
-
-
-sectionResult_en = sectionResultMol_en + sectionResultMolVal + sectionResultpV_en + sectionResultpVVal + sectionResultpV_T_en + sectionResultpVVal_T23
-#sectionResult_en = sectionResultMol_pup_en + sectionResultMolVal + sectionResultpV_en + sectionResultpVVal + sectionResultpV_T_en + sectionResultpVVal_T23
-
-######################################## Unsicherheit ######################################################
-
-sectionU = 'Angegeben ist die erweiterte Messunsicherheit \\(U\\), die sich aus der Standardmessunsicherheit durch Multiplikation mit dem Erweiterungsfaktor \\(k = 2\\) ergibt. Sie wurde gemäß dem „Guide to the Expression of Uncertainty in Measurement (GUM)“ ermittelt. Der Wert der Messgröße liegt dann im Regelfall mit einer Wahrscheinlichkeit von annähernd \\SI{95}{\\percent} im zugeordneten Überdeckungsintervall.\\n '
-sectionU_en = 'The uncertainty \\(U\\) stated is the expanded measurement uncertainty obtained by multiplying the standard measurement uncertainty by the coverage factor \\(k = 2\\). It has been determined in accordance with the “Guide to the Expression of Uncertainty in Measurement (GUM)”. The value of the measurand then normally lies, with a probability of approximately \\SI{95}{\\percent} within the attributed coverage interval.'
-
-sectionU_text = sectionU + '\\begin{english} ' + sectionU_en + '\\end{english}'
-sectionU_text_en = sectionU_en
-
-sectionTitelUncertainty = 'Unsicherheit '
-sectionTitelUncertainty_en = 'Uncertainty of Calibration'
-sectionTitelUncertainty_text_en = '\\section{' + sectionTitelUncertainty_en + '} '
-sectionTitelUncertainty_text = '\\section{' + sectionTitelUncertainty + '\\linebreak {\\small \\emph{' + sectionTitelUncertainty_en + '}}}'
-
-
-
-
-if(lang!='en'):
- print("de",lang)
- with open(ks,'w', encoding='utf-8') as file:
-
- file.write('\\listfiles\n')
- file.write('\\documentclass[de,KK,CMC]{kalibrierschein}\n ')
- file.write(obj)
- file.write(manufacturer)
- file.write(typ)
- file.write(serialNo)
- file.write(applicant)
- file.write(refNo)
- file.write(calibMark)
- file.write(calibDate)
- file.write('\\byOrder{Dr. M.Bernien}\n')
- file.write(examiner)
- file.write(certificateDate)
-
- file.write('\\begin{document}\n')
-
- file.write('\\printFirstPage\n')
-
- file.write(sectionTitleText_de)
- sectionText = sectionTitleText_de
-
- file.write(sectionTitelProcedure_text)
- file.write(sectionProcedure_text)
- file.write('\\pagebreak')
- file.write(sectionTitelMeasurement_text)
-
-
- if(TemperatureTLx!=23):
- file.write(sectionResult_Tx)
- print("nicht 23")
-
- else:
- file.write(sectionResult)
- print(" 23 ToDo", sectionResult)
-
-
-
-
- file.write('\\section{Unsicherheit \\linebreak {\\small \\emph{Uncertainty of Calibration}}} ')
- file.write(sectionU_text)
-
- file.write('\\printLastPage')
- file.write('\\end{document}\\n')
-
-
-
-
-
-
-
-else:
- print("en Kal",lang)
- with open(ks,'w', encoding='utf-8') as file:
-
- file.write('\\listfiles\n')
- file.write('\\documentclass[en,KK,CMC]{kalibrierschein}\n ')
- file.write(obj)
- file.write(manufacturer)
- file.write(typ)
- file.write(serialNo)
- file.write(applicant)
- file.write(refNo)
- file.write(calibMark)
- file.write(calibDate)
- file.write('\\byOrder{Dr. M.Bernien}\n')
- file.write(examiner)
- file.write(certificateDate)
-
- file.write('\\begin{document}\n')
-
- file.write('\\printFirstPage\n')
-
- file.write(sectionTitleText_en)
- sectionText = sectionTitleText_en
-
- file.write(sectionTitelProcedure_text_en)
- file.write(sectionProcedure_text_en)
-
- file.write(sectionTitelMeasurement_text_en)
- file.write(sectionResult_en)
- file.write(sectionResultU_en)
-
- if(TemperatureTLx == 23):
- file.write(sectionResult_Tx)
- print("nicht 23",TemperatureTLx)
-
- else:
-
- print(" 23 ToDo")
-
- #file.write(sectionTitelUncertainty_text_en)
- #file.write(sectionU_text_en)
-
- file.write('\\printLastPage')
- file.write('\\end{document}')
-
-
-
-
-doc_cer["Certificate"]={"Meta":{"std": ["FM1"],
- "id":[id_],
- "kind" :[kind],
- "gas": [gas],
- "lang":lang,
- "calibration_type":calibration_type,
- }}
-
-
-
-doc_cer["Certificate"]["Titlepage"]={"CertificateDate" :CertificateDate,
- "FullYear": "2024",
- "ShortYear": "24",
- "MeasurementDate": MeasurementDate,
- "MeasurementDateBegin": MeasurementDateBegin,
- "MeasurementDateEnd": MeasurementDateEnd,
- "Certificate": Certificate,
- "ReferenceNo": ReferenceNo,
- "Customer": {
- "Name": Name,
- "AddName": AddName,
- "Street": Street,
- "Town": Town,
- "Zipcode": Zipcode,
- "Land": Land,
- "CountryCode": Land },
- "ObjectOfCalibration": ObjectOfCalibration,
- "Producer": Producer,
- "Type": Type,
- "Object": Object,
- "Serial": Serial ,
- "Examiner": Examiner,
- "DeviceClass": DeviceClass,
- "ByOrder": ByOrder,
- }
-
-
-
-
-
-doc_cer["Certificate"]["Section"]= [{"Heading": "Description relating to calibration device","Paragraph":sectionText},
- {"Heading": "Calibration procedure","Paragraph":sectionProcedure_text},
- {"Heading": "Measurement results","Paragraph":sectionResult},
- {"Heading": "Uncertainty of Calibration","Paragraph":sectionU}],
-
-doc_cer["Certificate"]["Formula"]={"NoOfMeasurements": NoOfMeasurements,
- "FlowMol": FlowMol,
- "FlowpV23": FlowpV23,
- "FlowpV2X":FlowpV2X,
- "Gauge": Gauge,
- "TemperatureTL": TemperatureTL,
- "TemperatureTLx": TemperatureTLx,
- "LeakUncertainty": LeakUncertainty,
- "MeasurementDate": MeasurementDate,
- "QMS": QMS,
-
- }
-db.save(doc_cer)
-
-
-
-
-
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Aug 23 09:45:09 2022
+
+@author: becker07
+"""
+
+import time
+import couchdb
+from datetime import date
+couch = couchdb.Server('http://a73434.berlin.ptb.de:5984')
+db = couch['vl_db'] # existing
+
+
+## Eingabe von:
+# - Kalibrierscheinnummer
+# - Jahr der Kalibrierung
+# - laufende Nummer der Kalibrierung
+
+cal_cert = "75573"
+year = "2024"
+year_Mark=year[2:]
+print(year_Mark)
+no = "0001"
+CertificateDate = str(date.today())
+
+
+json_file_cer = "cer-" + year + "-" + cal_cert
+
+print(json_file_cer)
+
+
+id_cer = 0
+
+mango = {'selector': {'_id':json_file_cer}}
+for i in db.find(mango):
+ id_cer = 1
+
+print(id_cer)
+
+
+doc = {'_id': json_file_cer}
+
+if id_cer == 0:
+ db.save(doc)
+ print ( "Warten! 30 Sekunden" )
+ time.sleep ( 30 )
+ print ( json_file_cer," ist in der Couch angelegt" )
+
+else:
+ print ( json_file_cer," ist bereits in der Couch angelegt" )
+
+
+id_ = "cal-" + year + "-fm1-kk-" + cal_cert + "_" + no
+ks = "C:\\Users\\becker07\\kalibrierschein\\ks-" + cal_cert + "-" + year + ".tex"
+
+cer = "cer-" + year + "-" + cal_cert
+
+json_file_cal = id_
+json_file_cer = cer
+doc_cal = db.get(json_file_cal)
+doc_cer = db.get(json_file_cer)
+
+
+print(json_file_cal)
+
+
+
+##### Meta #######
+
+kind = doc_cal["Calibration"]["ToDo"]["Type"]
+gas = doc_cal["Calibration"]["ToDo"]["Gas"]
+lang = doc_cal["Calibration"]["Customer"]["Lang"]
+calibration_type = "KK"
+last_cert_no = doc_cal["Calibration"]["Presettings"]
+
+
+###### überprüfen ob eine letztes Cal-Zeichen gibt #########################
+
+if "LastCalibrationYear" in last_cert_no:
+ print("\"last_cert_no\" ist vorhanden.")
+ last_cert_no = doc_cal["Calibration"]["Presettings"]["LastCalibrationCertificate"]
+ last_cert_year = doc_cal["Calibration"]["Presettings"]["LastCalibrationYear"]
+ last_cert = last_cert_no + "\\,PTB\\," + last_cert_year[2:]
+ sectionDiscription_noyes= "yes"
+ print(last_cert)
+
+else:
+ print("\"last_cert_no\" ist nicht vorhanden.")
+ sectionDiscription_noyes= "no"
+ last_cert = ""
+
+
+
+
+
+
+##### Titlepage #######
+
+
+MeasurementDateBegin = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
+MeasurementDateBegin = MeasurementDateBegin[0]
+MeasurementDateEnd = doc_cal["Calibration"]["Measurement"]["Date"][0]["Value"]
+MeasurementDateEnd = MeasurementDateEnd[0]
+
+
+CountryCode= lang
+DeviceClass= "TLV"
+
+Standard = doc_cal["Calibration"]["ToDo"]["Standard"]
+Land= doc_cal["Calibration"]["Customer"]["Address"]["Land"]
+
+##### Titlepage #######
+Certificate = str(doc_cal["Calibration"]["Certificate"])
+ReferenceNo = doc_cal["Calibration"]["Presettings"]["ReferenceNo"]
+Name= doc_cal["Calibration"]["Customer"]["Name"]
+AddName= doc_cal["Calibration"]["Customer"]["AddName"]
+Street= doc_cal["Calibration"]["Customer"]["Address"]["Street"]
+Town= doc_cal["Calibration"]["Customer"]["Address"]["Town"]
+Zipcode= doc_cal["Calibration"]["Customer"]["Address"]["Zipcode"]
+ObjectOfCalibration= doc_cal["Calibration"]["CustomerObject"]["Type"]
+Producer= doc_cal["Calibration"]["CustomerObject"]["Device"]["Producer"]
+Type= doc_cal["Calibration"]["CustomerObject"]["Device"]["Type"] ########## Type
+Object= doc_cal["Calibration"]["CustomerObject"]["NameCer"] ########## Gegenstand/Object
+Serial= doc_cal["Calibration"]["CustomerObject"]["Name"] ########## Kennummer
+Examiner= doc_cal["Calibration"]["Measurement"]["Maintainer"]
+ByOrder= "Dr. Matthias Bernien"
+MeasurementDate= doc_cal["Calibration"]["Result"]["Formula"]["MeasurementDate"]
+QMS= doc_cal["Calibration"]["Result"]["Formula"]["QMS"]
+
+print(MeasurementDate)
+
+obj ='\\object{'+ Object + '}\n'
+manufacturer = '\\manufacturer{' + Producer +' }\n'
+typ = '\\type{' + Type + '}\n'
+serialNo = '\\serialNo{' + Serial + '}\n'
+applicant = '\\applicant{{' + Name + '}\n {' + Street + '} \n {' + Zipcode +' ' + Town +'}\n {' + Land+'}}\n'
+refNo = '\\refNo{ ' + ReferenceNo + '}\n'
+calibMark = '\\calibMark{ ' + Certificate + ' PTB ' + year_Mark + '}\n'
+print(calibMark)
+calibDate = '\\calibDate{' + MeasurementDate + '}\n'
+examiner = '\\examiner{' + Examiner + '}\n'
+certificateDate = '\\certificateDate{' + CertificateDate + '}\n'
+
+##################section Beschreibung zum Kalibriergerät
+
+
+if (sectionDiscription_noyes!= 'yes'):
+
+ sectionDiscription_2= " Dies ist die erste von der PTB durchgeführte Kalibrierung."
+ sectionDiscription_2_en= "This is the first calibration at PTB."
+ print(" 1. durchgeführte Kalibrierung")
+
+else:
+
+ sectionDiscription_2= " Die von der PTB zuletzt durchgeführten Kalibrierung ist im Kalibrierschein " + last_cert + " beschrieben."
+ sectionDiscription_2_en= " The previous calibration at PTB had been carried out " + last_cert_year + ' with the calibration mark ' + last_cert + " ."
+
+
+TextDE= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["de"]
+TextEN= doc_cal["Calibration"]["CustomerObject"]["Text"]["description"]["en"]
+
+sectionText_title_de = 'Beschreibung zum Kalibriergerät '
+sectionText_title_en = 'Description relating to calibration device'
+sectionTitleText_de = '\\section{' + sectionText_title_de + '\\linebreak {\\small \\emph{' + sectionText_title_en + 'Description relating to calibration device}}}\n' + TextDE + sectionDiscription_2+'\n' + '\\begin{english}' + TextEN + sectionDiscription_2_en +'\\end{english} \n'
+sectionTitleText_en = '\\section{' + sectionText_title_en + ' }\n' + TextEN +sectionDiscription_2_en +'\n'
+
+
+
+
+
+
+
+######################### Messverfahren #########################################################################
+
+sectionTitelProcedure = 'Kalibrierverfahren '
+sectionTitelProcedure_en = 'Calibration procedure'
+sectionTitelProcedure_text_en = '\\section{' + sectionTitelProcedure_en + '}\n '
+sectionTitelProcedure_text = '\\section{' + sectionTitelProcedure + '\\linebreak {\\small \\emph{' + sectionTitelProcedure_en + '}}}\n '
+
+sectionProcedure1='Der aus dem thermostatisierten Testleck TL austretende Gasfluss wird mit Hilfe eines Massenspektrometers mit einem annähernd gleich groß eingestellten Gasfluss \\(q_{\\text{mol, FM}}\\) verglichen, dessen Größe mit einem Durchflussmesser (Flowmeter FM) bestimmt wird. Die Durchflussmessung erfolgt bei konstantem Druck \\(p_\\text{FM}\\) und konstanter Temperatur \\(T_{\\text{FM}}\\).\n '
+sectionProcedure1_en ='The gas flow from the leak TL is compared with a gas flow \\(q_{\\text{mol, FM}}\\) of about the same flow rate from a flow meter FM by a mass spectrometer. The flow measurement is operated at constant pressure \\(p_{\\text{FM}}\\) and constant (absolute) temperature \\(T_{\\text{FM}}\\). \n'
+sectionProcedureE1 = ' \\[ q_{\\text{mol, FM}} = p_{\\text{FM}} \\cdot C \\cdot \\frac{1}{R \\cdot T_{\\text{FM}}} \\] '
+sectionProcedure2=' Der Druck \\(p_{\\text{FM}}\\) wurde mit einem kapazitiven Membranvakuummeter gemessen. Dieses Gerät ist durch Vergleich mit einem Primärnormal der PTB kalibriert worden. Der Leitwert \\(C\\) wird aus der zeitlichen Volumenänderung (\\(\\Delta V/\\Delta t\\)) eines zusammendrückbaren, kalibrierten Federbalgs (\\(\\Delta V\\)) und einer elektronischen Uhr (\\(\\Delta t\\)) ermittelt. Die molare Gaskonstante \\(R\\) hat den Wert 83,145~\\(\\text{mbar}\\)~\\(\\text{l}\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\). \n '
+sectionProcedure2_en=' The pressure \\(p_{\\text{FM}}\\) is measured with a capacitance diaphragm gauge. This gauge is calibrated by comparison with a primary standard of PTB. The conductance \\(C\\) of the capillary integrated in the flow meter is obtained from the temporal volume change (\\(\\Delta V/\\Delta t\\)) that is needed to keep \\(p_\\text{FM}\\) constant. It is measured by means of a calibrated bellow and an electronic clock. The molar gas constant \\(R\\) has the value 83.145~\\(\\text{mbar}\\)~\\(\\text{l}\\)~\\(\\text{mol}^{-1}\\)~\\(\\text{K}^{-1}\\). '
+sectionProcedureE3 = ' \\[ q_{\\text{mol, TL}} = q_{\\text{mol, FM}} \\cdot \\frac{S_{\\text{TL}}}{S_{\\text{FM}}} \\] '
+sectionProcedure3=' Die Leckrate \\(q_{\\text{mol, TL}}\\) des Testlecks wird nach folgender Beziehung berechnet:'
+sectionProcedure3_en=' The molar leak rate \\(q_{\\text{mol, TL}}\\) of the test leak can be calculated by the following equation:'
+sectionProcedure4=' mit \\(S_\\text{TL}\\) dem Signal am Massenspektrometer für den Gasfluss des Testlecks und \\(S_\\text{FM}\\) dem Signal am Massenspektrometer für den eingestellten Vergleichsgasfluss.'
+sectionProcedure4_en=' whereby \\(S_{\\text{TL}}\\) is the signal at the mass spectrometer for the gas flow from the test leak and \\(S_{\\text{FM}}\\) the signal at the mass spectrometer for the gas flow from the flow meter.'
+
+
+
+sectionProcedure_text= sectionProcedure1 + sectionProcedure2 +'\\begin{english}' + sectionProcedure1_en + sectionProcedure2_en + '\\end{english}' + sectionProcedureE1 + sectionProcedure3 + '\\begin{english}' + sectionProcedure3_en + '\\end{english} '+ sectionProcedureE3 + sectionProcedure4 + '\\begin{english}' + sectionProcedure4_en + '\\end{english} '
+sectionProcedure_text_en= sectionProcedure1_en + sectionProcedure2_en + sectionProcedureE1 + sectionProcedure3_en + sectionProcedureE3 + sectionProcedure4_en + '\n'
+
+
+
+
+################## Ergebnisse ###################################################
+
+NoOfMeasurements= doc_cal["Calibration"]["Result"]["Formula"]["NoOfMeasurements"]
+FlowMol= doc_cal["Calibration"]["Result"]["Formula"]["FlowMol"]
+FlowpV23= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV23"]
+FlowpV2X= doc_cal["Calibration"]["Result"]["Formula"]["FlowpV2X"]
+TemperatureTL= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTL"]
+TemperatureTLx= doc_cal["Calibration"]["Result"]["Formula"]["TemperatureTLx"]
+
+
+QMS= doc_cal["Calibration"]["Result"]["Formula"]["QMS"]
+Gauge= doc_cal["Calibration"]["Result"]["Formula"]["Gauge"]
+LeakUncertainty= doc_cal["Calibration"]["Result"]["Formula"]["LeakUncertainty"]
+print("TLX= ",TemperatureTLx)
+
+sectionTitelMeasurement = 'Messergebnis '
+sectionTitelMeasurement_en = 'Measurement results'
+sectionTitelMeasurement_text_en = '\\section{' + sectionTitelMeasurement_en + '}\n '
+sectionTitelMeasurement_text = '\\section{' + sectionTitelMeasurement + '\\linebreak {\\small \\emph{' + sectionTitelMeasurement_en + '}}}\n '
+
+
+sectionResultMol = 'Mit dem thermostatisierten Testleck wurden insgesamt ' + NoOfMeasurements + '~Leckratenbestimmungen bei einer Testlecktemperatur von \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) durchgeführt. Der Mittelwert ergab die (molare) Leckrate: '
+sectionResultMol_en = NoOfMeasurements + '~measurements were carried out at a leak temperature of \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) (thermostated). The mean leak rate (molar flow) was determined to: '
+sectionResultMol_pup_en = NoOfMeasurements + '~measurements were carried out at a leak temperature of \\( \\vartheta_\\text{TL}= \\SI{' + TemperatureTL + '}{\\degreeCelsius} \\) (thermostated). The mean leak rate (molar flow) for relativ pressure \\( p_{\\text{up}}=\\SI{0.0}{\\bar} \\) (leak indication) at the upstream pressure side was determined to: '
+
+sectionResultMolVal= '\\[ q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{' + FlowMol + '}{\\mol\\per\\second} \\] '
+sectionResultMolVal_en= '\\( q_\\text{mol}(\\vartheta_\\text{TL}) =\\SI{' + FlowMol + '}{\\mol\\per\\second} \\) '
+sectionResultpV = 'Daraus kann für den Ort mit einer Temperatur \\(\\vartheta_\\text{Ch}\\) in \\si{\\degreeCelsius}, an dem sich der Prüfling befindet und mit \\(T_0 = \\SI{273.15}{\\kelvin}\\), der \\(pV\\)-Durchfluss nach folgender Beziehung berechnet werden.'
+sectionResultpV_en = 'From this the \\(pV\\)-flow can be calculated for a place at a temperature \\(\\vartheta_\\text{Ch}\\) (in \\si{\\degreeCelsius}), where a device under test is mounted and \\(T_0 = \\SI{273.15}{\\kelvin}\\), by the equation:'
+sectionResultpVVal = '\\[q_{pV}(\\vartheta_\\text{Ch}) = q_{\\text{mol}}(\\vartheta_\\text{TL})\\cdot R \\cdot (\\vartheta_\\text{Ch} + T_0)\\] '
+
+sectionResultpV_T = 'Bei einer Kammertemperatur von \\( \\vartheta_\\text{TL}= \\SI{23}{\\degreeCelsius} \\) beträgt die Leckrate \\( q_{pV}(\\SI{23}{\\degreeCelsius}) \\):'
+sectionResultpV_T_en = 'At a chamber temperature \\(\\vartheta_\\text{Ch}=\\SI{23}{\\degreeCelsius}\\) the leak rate \\(q_{pV}(\\SI{23}{\\degreeCelsius})\\) will be:'
+
+sectionResultpV_Tx = 'und bei einer Kammertemperatur von \\( \\vartheta_\\text{TL}= \\SI{'+ TemperatureTLx +'}{\\degreeCelsius} \\) beträgt die Leckrate \\( q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius}) \\):'
+sectionResultpV_Tx_en = 'and at a chamber temperature \\(\\vartheta_\\text{Ch}=\\SI{'+ TemperatureTLx +'}{\\degreeCelsius}\\) the leak rate \\(q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius})\\) will be:'
+
+sectionResultpVVal_T23 = ' \\[q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV23 + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\]'
+sectionResultpVVal_T23_en = '\\( q_{pV}(\\SI{23}{\\degreeCelsius})= \\num{' + FlowpV23 + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\)'
+sectionResultpVVal_Tx = ' \\[q_{pV}(\\SI{' + TemperatureTLx + '}{\\degreeCelsius})= \\num{' + FlowpV2X + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\]'
+sectionResultpVVal_Tx_en = ' \\( q_{pV}(\\SI{'+ TemperatureTLx +'}{\\degreeCelsius})= \\num{' + FlowpV2X + '} ~\\text{Pa}~\\text{m}^3~\\text{s}^{-1}\\)'
+
+
+sectionResultU = 'Die relative Unsicherheit \\(U\\) der angegebenen Leckraten beträgt \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\).'
+sectionResultU_en = 'The relative uncertainty \\(U\\) of the stated leak rate is \\( \\SI{'+ LeakUncertainty +'}{\\percent} \\). '
+
+
+sectionResult = sectionResultMol + sectionResultMolVal +'\\begin{english}' + sectionResultMol_en + sectionResultMolVal_en + '\\end{english}' + sectionResultpV + '\\begin{english}' + sectionResultpV_en +'\\end{english}' + sectionResultpVVal + '\\linebreak ' + sectionResultpV_T + sectionResultpVVal_T23 + '\\begin{english}' + sectionResultpV_T_en + sectionResultpVVal_T23_en + '\\end{english}' + sectionResultU + '\\begin{english}' + sectionResultU + '\\end{english}'
+sectionResult_Tx = sectionResultMol + sectionResultMolVal +'\\begin{english}' + sectionResultMol_en + sectionResultMolVal_en + '\\end{english}' + sectionResultpV + '\\begin{english}' + sectionResultpV_en +'\\end{english}' + sectionResultpVVal + sectionResultpV_T + sectionResultpVVal_T23 + sectionResultpV_Tx + sectionResultpVVal_Tx + '\\begin{english}' + sectionResultpV_T_en + sectionResultpVVal_T23_en + sectionResultpV_Tx_en + sectionResultpVVal_Tx_en + '\\end{english}' + sectionResultU + '\\begin{english}' + sectionResultU + '\\end{english}'
+
+
+sectionResult_en = sectionResultMol_en + sectionResultMolVal + sectionResultpV_en + sectionResultpVVal + sectionResultpV_T_en + sectionResultpVVal_T23
+#sectionResult_en = sectionResultMol_pup_en + sectionResultMolVal + sectionResultpV_en + sectionResultpVVal + sectionResultpV_T_en + sectionResultpVVal_T23
+
+######################################## Unsicherheit ######################################################
+
+sectionU = 'Angegeben ist die erweiterte Messunsicherheit \\(U\\), die sich aus der Standardmessunsicherheit durch Multiplikation mit dem Erweiterungsfaktor \\(k = 2\\) ergibt. Sie wurde gemäß dem „Guide to the Expression of Uncertainty in Measurement (GUM)“ ermittelt. Der Wert der Messgröße liegt dann im Regelfall mit einer Wahrscheinlichkeit von annähernd \\SI{95}{\\percent} im zugeordneten Überdeckungsintervall.\\n '
+sectionU_en = 'The uncertainty \\(U\\) stated is the expanded measurement uncertainty obtained by multiplying the standard measurement uncertainty by the coverage factor \\(k = 2\\). It has been determined in accordance with the “Guide to the Expression of Uncertainty in Measurement (GUM)”. The value of the measurand then normally lies, with a probability of approximately \\SI{95}{\\percent} within the attributed coverage interval.'
+
+sectionU_text = sectionU + '\\begin{english} ' + sectionU_en + '\\end{english}'
+sectionU_text_en = sectionU_en
+
+sectionTitelUncertainty = 'Unsicherheit '
+sectionTitelUncertainty_en = 'Uncertainty of Calibration'
+sectionTitelUncertainty_text_en = '\\section{' + sectionTitelUncertainty_en + '} '
+sectionTitelUncertainty_text = '\\section{' + sectionTitelUncertainty + '\\linebreak {\\small \\emph{' + sectionTitelUncertainty_en + '}}}'
+
+
+
+
+if(lang!='en'):
+ print("de",lang)
+ with open(ks,'w', encoding='utf-8') as file:
+
+ file.write('\\listfiles\n')
+ file.write('\\documentclass[de,KK,CMC]{kalibrierschein}\n ')
+ file.write(obj)
+ file.write(manufacturer)
+ file.write(typ)
+ file.write(serialNo)
+ file.write(applicant)
+ file.write(refNo)
+ file.write(calibMark)
+ file.write(calibDate)
+ file.write('\\byOrder{Dr. M.Bernien}\n')
+ file.write(examiner)
+ file.write(certificateDate)
+
+ file.write('\\begin{document}\n')
+
+ file.write('\\printFirstPage\n')
+
+ file.write(sectionTitleText_de)
+ sectionText = sectionTitleText_de
+
+ file.write(sectionTitelProcedure_text)
+ file.write(sectionProcedure_text)
+ file.write('\\pagebreak')
+ file.write(sectionTitelMeasurement_text)
+
+
+ if(TemperatureTLx!=23):
+ file.write(sectionResult_Tx)
+ print("nicht 23")
+
+ else:
+ file.write(sectionResult)
+ print(" 23 ToDo", sectionResult)
+
+
+
+
+ file.write('\\section{Unsicherheit \\linebreak {\\small \\emph{Uncertainty of Calibration}}} ')
+ file.write(sectionU_text)
+
+ file.write('\\printLastPage')
+ file.write('\\end{document}\\n')
+
+
+
+
+
+
+
+else:
+ print("en Kal",lang)
+ with open(ks,'w', encoding='utf-8') as file:
+
+ file.write('\\listfiles\n')
+ file.write('\\documentclass[en,KK,CMC]{kalibrierschein}\n ')
+ file.write(obj)
+ file.write(manufacturer)
+ file.write(typ)
+ file.write(serialNo)
+ file.write(applicant)
+ file.write(refNo)
+ file.write(calibMark)
+ file.write(calibDate)
+ file.write('\\byOrder{Dr. M.Bernien}\n')
+ file.write(examiner)
+ file.write(certificateDate)
+
+ file.write('\\begin{document}\n')
+
+ file.write('\\printFirstPage\n')
+
+ file.write(sectionTitleText_en)
+ sectionText = sectionTitleText_en
+
+ file.write(sectionTitelProcedure_text_en)
+ file.write(sectionProcedure_text_en)
+
+ file.write(sectionTitelMeasurement_text_en)
+ file.write(sectionResult_en)
+ file.write(sectionResultU_en)
+
+ if(TemperatureTLx == 23):
+ file.write(sectionResult_Tx)
+ print("nicht 23",TemperatureTLx)
+
+ else:
+
+ print(" 23 ToDo")
+
+ #file.write(sectionTitelUncertainty_text_en)
+ #file.write(sectionU_text_en)
+
+ file.write('\\printLastPage')
+ file.write('\\end{document}')
+
+
+
+
+doc_cer["Certificate"]={"Meta":{"std": ["FM1"],
+ "id":[id_],
+ "kind" :[kind],
+ "gas": [gas],
+ "lang":lang,
+ "calibration_type":calibration_type,
+ }}
+
+
+
+doc_cer["Certificate"]["Titlepage"]={"CertificateDate" :CertificateDate,
+ "FullYear": "2024",
+ "ShortYear": "24",
+ "MeasurementDate": MeasurementDate,
+ "MeasurementDateBegin": MeasurementDateBegin,
+ "MeasurementDateEnd": MeasurementDateEnd,
+ "Certificate": Certificate,
+ "ReferenceNo": ReferenceNo,
+ "Customer": {
+ "Name": Name,
+ "AddName": AddName,
+ "Street": Street,
+ "Town": Town,
+ "Zipcode": Zipcode,
+ "Land": Land,
+ "CountryCode": Land },
+ "ObjectOfCalibration": ObjectOfCalibration,
+ "Producer": Producer,
+ "Type": Type,
+ "Object": Object,
+ "Serial": Serial ,
+ "Examiner": Examiner,
+ "DeviceClass": DeviceClass,
+ "ByOrder": ByOrder,
+ }
+
+
+
+
+
+doc_cer["Certificate"]["Section"]= [{"Heading": "Description relating to calibration device","Paragraph":sectionText},
+ {"Heading": "Calibration procedure","Paragraph":sectionProcedure_text},
+ {"Heading": "Measurement results","Paragraph":sectionResult},
+ {"Heading": "Uncertainty of Calibration","Paragraph":sectionU}],
+
+doc_cer["Certificate"]["Formula"]={"NoOfMeasurements": NoOfMeasurements,
+ "FlowMol": FlowMol,
+ "FlowpV23": FlowpV23,
+ "FlowpV2X":FlowpV2X,
+ "Gauge": Gauge,
+ "TemperatureTL": TemperatureTL,
+ "TemperatureTLx": TemperatureTLx,
+ "LeakUncertainty": LeakUncertainty,
+ "MeasurementDate": MeasurementDate,
+ "QMS": QMS,
+
+ }
+db.save(doc_cer)
+
+
+
+
+
--
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