Add INL Sweep hp-3458A-2823A14043---datron-4805-XANS1---AZEROSWEEP.csv
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hp-3458A-2823A14043/datron-4805-XANS1/README.md
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hp-3458A-2823A14043/datron-4805-XANS1/README.md
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| Meter Manufacturer | Meter Model | Meter SerialNumber | Source Manufacturer | Source Model | Source SerialNumber | MinMax | File | ID | User |
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|--------------------|-------------|--------------------|---------------------|--------------|---------------------|--------|------|----|------|
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|hp|3458A|2823A14043|datron|4805|XANS1|0.0|/data/hp-3458A-2823A14043---datron-4805-XANS1---AZEROSWEEP.jpg|AZEROSWEEP|xans|
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hp-3458A-2823A14043/datron-4805-XANS1/data/INLV-3458ADat.py
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hp-3458A-2823A14043/datron-4805-XANS1/data/INLV-3458ADat.py
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import GPIBPrologix
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import bme280
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import smbus2
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from requests import post
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import time
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## Initialize GPIB adapter
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GPIB = GPIBPrologix.ResourceManager("/dev/ttyACM0")
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# Connect equipment
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inst2 = GPIB.open_resource(30)
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inst3 = GPIB.open_resource(22)
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# Initialize BME280 temperature/humidity sensor
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bus = smbus2.SMBus(1)
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## Configure equipment
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# BME280 temperature/humidity sensor
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calibration_params = bme280.load_calibration_params(bus, 0x76)
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# Datron 4805 Calibrator
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inst2.query("F0=") #DCV
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inst2.query("R6=") #10/100K Range
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inst2.query("S1=") #RemoteSense
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inst2.query("M0.0069=") #6.9mV Out, sanity check
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inst2.query("O1=") #OutputON
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#Setup 34401A
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inst3.write("RESET")
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inst3.write("MEM OFF")
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inst3.write("OFORMAT ASCII")
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inst3.write("END ALWAYS")
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inst3.write("TARM AUTO")
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inst3.write("DCV 10")
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inst3.write("NRDGS 1,AUTO")
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inst3.write("NPLC 100")
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inst3.write("NDIG 9")
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inst3.write("AZERO ON")
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# Measurement functions
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def readValue(instObj):
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instObj.write("BEEP OFF")
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print(instObj.read())
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value = ""
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while value == "":
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value = instObj.read()
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print(value)
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return value
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def setValue(instObj, inputVar):
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instObj.query("M"+str(inputVar)+"=")
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return inputVar
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def getEnvironment(instObj, i2cbus):
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value = instObj.sample(i2cbus, 0x76, calibration_params)
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return value
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setValue(inst2,-1)
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inst3.write("BEEP")
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readValue(inst3)
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## Have gitpython pull in the repository
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import os
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import git
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import shutil
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username = input("Your 0xC6 git username: ")
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password = input("Your 0xC6 git password: ")
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remote = f"https://{username}:{password}@git.0xc6.com/xans/INL-Measurements.git"
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if not os.path.exists(os.getcwd()+"/INL-Measurements"):
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git.Repo.clone_from(remote, os.getcwd()+"/INL-Measurements/")
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else:
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shutil.rmtree(os.getcwd()+"/INL-Measurements/", ignore_errors=True)
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git.Repo.clone_from(remote, os.getcwd()+"/INL-Measurements/")
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## Get needed info to properly label everything
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MeterManufacturer = input("Meter Manufacturer: ").lower()
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MeterModel = input("Meter Model: ").upper()
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MeterSN = input("Meter SN: ").upper()
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SourceManufacturer = input("Source Manufacturer: ").lower()
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SourceModel = input("Source Model: ").upper()
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SourceSN = input("Source SN: ").upper()
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measid = input("Personally assigned measurement ID: ").upper()
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shellyIp = input("If you use shelly for protection, enter the IP: ").upper()
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if shellyIp and os.system("ping -c 1 " + shellyIp):
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print("shelly not found")
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quit()
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if shellyIp:
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url = "{}://{}:{}/relay/0?turn=on".format("http", "192.168.0.101", "80")
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post(url)
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## Create proper directory structure
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basePath = os.getcwd() + "/INL-Measurements/"
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dutname = MeterManufacturer+'-'+MeterModel+'-'+MeterSN
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if not os.path.exists(basePath+dutname):
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os.makedirs(basePath+dutname)
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sourcename = SourceManufacturer+'-'+SourceModel+'-'+SourceSN
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if not os.path.exists(basePath+dutname+'/'+sourcename):
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os.makedirs(basePath+dutname+'/'+sourcename)
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if not os.path.exists(basePath+dutname+'/'+sourcename+"/data/"):
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os.makedirs(basePath+dutname+'/'+sourcename+"/data/")
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basePath = basePath+dutname+'/'+sourcename
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print(basePath+"/data/")
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import csv
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import time
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import datetime
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import numpy as np
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import pandas as pd
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from math import sin
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## Create logfile
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logFileName = MeterManufacturer+'-'+MeterModel+'-'+MeterSN+'---'+SourceManufacturer+'-'+SourceModel+'-'+SourceSN+'---'+measid+'.csv'
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with open(basePath+"/data/"+logFileName, 'a') as f:
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writer = csv.writer(f)
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writer.writerow(["DateTime","Set Volts","Measured Volts","Env Pressure","Env Temperature", "Env Humidity"])
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print(basePath+"/data/"+logFileName)
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sweep = np.arange(-11.5,12,0.5)
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cntr = 0
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d = datetime.datetime.now()
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dlast = datetime.datetime.now()
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## Collect data
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time.sleep(3)
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for x in sweep:
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cntr = cntr + 1
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try:
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#Set volt and let accimatize
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setPoint = setValue(inst2,round(x,5))
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timebetween = (d-dlast) * (len(sweep)-cntr)
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dlast = d
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print(str(cntr)+'/'+str(len(sweep))+' Estimated Time Left: '+str(timebetween))
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time.sleep(60)
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for i in range(3):
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try:
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time.sleep(5)
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#Get DUT value
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readout = readValue(inst3)
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#Get envirnmental values
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data = getEnvironment(bme280, bus)
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#Write to file
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d = datetime.datetime.now()
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dx = d - datetime.timedelta(microseconds=d.microsecond)
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fields=[dx.strftime("%d-%m-%y %H:%M:%S"),setPoint,float(readout),round(data.humidity,2),round(data.temperature,2),round(data.pressure,2)]
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print(fields)
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with open(basePath+"/data/"+logFileName, 'a') as f:
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writer = csv.writer(f)
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writer.writerow(fields)
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if shellyIp and float(data.temperature) > 30 or float(data.temperature) < 16:
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url = "{}://{}:{}/relay/0?turn=off".format("http", "192.168.0.101", "80")
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post(url)
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except Exception as e:
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time.sleep(15)
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i = i-1
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except Exception as e:
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print(e)
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time.sleep(1)
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## Calculate high order polynomial
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df = pd.read_csv(basePath+"/data/"+logFileName)
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df = df.groupby(["Set Volts"], as_index=False).mean(numeric_only=True)
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highOrderPolyFit = np.polyfit(df["Set Volts"], df["Set Volts"]-df["Measured Volts"], 12)
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trendPoly = np.poly1d(highOrderPolyFit)
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## Make plot and save
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import sys
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from matplotlib import pyplot as plt
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plt.plot(df["Set Volts"], df["Set Volts"]-df["Measured Volts"])
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polyIndex = np.arange(-11,11,0.01)
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plt.plot(polyIndex, trendPoly(polyIndex))
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plt.xlabel('Source Voltage')
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plt.ylabel('Delta Set/Meas')
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plt.title ('INLV sweep '+ logFileName[:-4])
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plt.savefig(basePath+"/data/"+logFileName[:-4]+".jpg", bbox_inches='tight')
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minVal = trendPoly(polyIndex)
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maxVal = trendPoly(polyIndex)
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minVal = min(minVal)
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maxVal = min(maxVal)
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## Write away values to result overview
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if not os.path.exists(basePath+'/README.md'):
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with open(basePath+'/README.md', 'a') as f:
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f.write("| Meter Manufacturer | Meter Model | Meter SerialNumber | Source Manufacturer | Source Model | Source SerialNumber | MinMax | File | ID | User |\n")
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f.write("|--------------------|-------------|--------------------|---------------------|--------------|---------------------|--------|------|----|------|\n")
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f.close()
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with open(basePath+'/README.md', 'a') as f:
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linkToImg = "/data/"+logFileName[:-4]+".jpg"
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print("|"+MeterManufacturer+"|"+MeterModel+"|"+MeterSN+"|"+SourceManufacturer+"|"+SourceModel+"|"+SourceSN+"|"+str(round((maxVal-minVal),10))+"|"+linkToImg+"|"+measid+"|"+username+"|\n")
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f.write("|"+MeterManufacturer+"|"+MeterModel+"|"+MeterSN+"|"+SourceManufacturer+"|"+SourceModel+"|"+SourceSN+"|"+str(round((maxVal-minVal),10))+"|"+linkToImg+"|"+measid+"|"+username+"|\n")
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f.close()
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shutil.copy(os.getcwd()+'/'+sys.argv[0],basePath+"/data/")
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repo = git.Repo(os.getcwd() + "/INL-Measurements/")
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repo.git.add(basePath)
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repo.index.commit("Add INL Sweep "+ logFileName)
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repo.remotes[0].push()
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DateTime,Set Volts,Measured Volts,Env Pressure,Env Temperature,Env Humidity
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09-05-24 22:55:46,-11.5,-11.4999911,58.68,22.79,1022.41
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09-05-24 22:55:54,-11.5,-11.49999128,58.68,22.79,1022.41
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09-05-24 22:56:03,-11.5,-11.499991,58.67,22.78,1022.37
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09-05-24 22:57:12,-11.0,-10.99999244,58.79,22.74,1022.43
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09-05-24 22:57:21,-11.0,-10.9999927,58.73,22.73,1022.42
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09-05-24 22:57:29,-11.0,-10.99999258,58.83,22.72,1022.43
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09-05-24 22:58:39,-10.5,-10.49999114,58.89,22.7,1022.46
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09-05-24 22:58:47,-10.5,-10.49999121,58.94,22.7,1022.37
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09-05-24 22:58:56,-10.5,-10.49999159,58.92,22.7,1022.38
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09-05-24 23:00:05,-10.0,-9.999992436,59.0,22.7,1022.46
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09-05-24 23:00:14,-10.0,-9.999992507,59.05,22.7,1022.41
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09-05-24 23:00:22,-10.0,-9.999991979,59.0,22.7,1022.41
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09-05-24 23:01:32,-9.5,-9.499990834,59.03,22.71,1022.39
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09-05-24 23:01:40,-9.5,-9.49999013,59.05,22.72,1022.38
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09-05-24 23:01:48,-9.5,-9.49999057,59.05,22.72,1022.41
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09-05-24 23:02:58,-9.0,-8.999991308,59.11,22.64,1022.25
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09-05-24 23:03:06,-9.0,-8.999991325,59.08,22.73,1022.42
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09-05-24 23:03:15,-9.0,-8.999991237,59.11,22.73,1022.39
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09-05-24 23:04:24,-8.5,-8.499989494,59.15,22.72,1022.43
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09-05-24 23:04:33,-8.5,-8.49999062,59.09,22.73,1022.42
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09-05-24 23:04:41,-8.5,-8.499990691,59.13,22.73,1022.42
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09-05-24 23:05:51,-8.0,-7.999991376,59.03,22.35,1021.71
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09-05-24 23:05:59,-8.0,-7.999991499,59.14,22.74,1022.44
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09-05-24 23:06:08,-8.0,-7.999991622,59.15,22.76,1022.41
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09-05-24 23:07:17,-7.5,-7.499990935,59.2,22.74,1022.46
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09-05-24 23:07:26,-7.5,-7.499990847,59.15,22.74,1022.47
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09-05-24 23:07:34,-7.5,-7.499990038,59.14,22.75,1022.37
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09-05-24 23:08:44,-7.0,-6.999991128,59.14,22.03,1021.15
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09-05-24 23:08:52,-7.0,-6.999991128,59.19,22.76,1022.4
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09-05-24 23:09:01,-7.0,-6.999991374,59.12,22.76,1022.44
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09-05-24 23:10:10,-6.5,-6.499991725,59.16,22.79,1022.44
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09-05-24 23:10:19,-6.5,-6.49999183,59.15,22.79,1022.44
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09-05-24 23:10:27,-6.5,-6.49999213,59.1,22.78,1022.42
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09-05-24 23:11:36,-6.0,-5.999990826,59.25,22.62,1022.15
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09-05-24 23:11:45,-6.0,-5.999991266,59.22,22.77,1022.46
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09-05-24 23:11:53,-6.0,-5.999991161,59.23,22.78,1022.48
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09-05-24 23:13:03,-5.5,-5.499992075,59.2,22.78,1022.48
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09-05-24 23:13:11,-5.5,-5.499991388,59.14,22.78,1022.4
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09-05-24 23:13:20,-5.5,-5.499991424,59.22,22.76,1022.42
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09-05-24 23:14:29,-5.0,-4.999990965,59.35,22.78,1022.42
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09-05-24 23:14:38,-5.0,-4.999991176,59.34,22.78,1022.37
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09-05-24 23:14:46,-5.0,-4.999991123,59.33,22.78,1022.4
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09-05-24 23:15:56,-4.5,-4.499991298,59.35,22.78,1022.4
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09-05-24 23:16:04,-4.5,-4.499991404,59.38,22.79,1022.44
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09-05-24 23:16:13,-4.5,-4.499991316,59.34,22.79,1022.44
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09-05-24 23:17:22,-4.0,-3.999991068,59.4,22.8,1022.38
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09-05-24 23:17:31,-4.0,-3.999990611,59.39,22.79,1022.36
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09-05-24 23:17:39,-4.0,-3.999990541,59.36,22.79,1022.39
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09-05-24 23:18:49,-3.5,-3.499992299,59.44,22.8,1022.44
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09-05-24 23:18:57,-3.5,-3.499991912,59.39,22.64,1022.17
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09-05-24 23:19:06,-3.5,-3.499992264,59.39,22.79,1022.45
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09-05-24 23:20:15,-3.0,-2.999991295,59.41,22.8,1022.4
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09-05-24 23:20:24,-3.0,-2.999991348,59.44,22.79,1022.42
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09-05-24 23:20:32,-3.0,-2.999991278,59.46,22.79,1022.45
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09-05-24 23:21:42,-2.5,-2.499991488,59.46,22.81,1022.42
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09-05-24 23:21:50,-2.5,-2.499991681,59.43,22.81,1022.38
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09-05-24 23:21:58,-2.5,-2.499991628,59.47,22.82,1022.41
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09-05-24 23:23:08,-2.0,-1.999991434,59.22,22.92,1022.42
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09-05-24 23:23:16,-2.0,-1.999991434,59.23,22.93,1022.39
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09-05-24 23:23:25,-2.0,-1.999991575,59.17,22.92,1022.38
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09-05-24 23:24:34,-1.5,-1.499992981,59.35,22.89,1022.45
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09-05-24 23:24:43,-1.5,-1.499992964,59.43,22.89,1022.43
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09-05-24 23:24:51,-1.5,-1.499992911,59.38,22.9,1022.41
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09-05-24 23:26:01,-1.0,-0.9999936139,59.43,22.88,1022.43
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09-05-24 23:26:09,-1.0,-0.9999936491,59.38,22.88,1022.42
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09-05-24 23:26:18,-1.0,-0.9999935259,59.42,22.88,1022.39
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09-05-24 23:27:27,-0.5,-0.4999928033,59.52,22.86,1022.35
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09-05-24 23:27:44,-0.5,-0.4999930321,59.49,22.86,1022.35
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09-05-24 23:28:54,0.0,5.332328122e-06,59.45,22.87,1022.34
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09-05-24 23:30:37,0.5,0.4999958654,59.6,22.9,1022.4
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09-05-24 23:37:41,3.0,2.999994093,59.84,22.86,1022.35
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09-05-24 23:37:49,3.0,2.999994058,59.84,22.86,1022.43
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09-05-24 23:38:59,3.5,3.499994569,59.66,22.9,1022.39
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09-05-24 23:40:25,4.0,3.999993268,59.8,22.91,1022.43
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09-05-24 23:40:34,4.0,3.999993409,59.78,22.89,1022.38
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09-05-24 23:40:42,4.0,3.999993919,59.85,22.9,1022.39
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09-05-24 23:41:51,4.5,4.499994096,59.8,22.89,1022.37
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09-05-24 23:42:00,4.5,4.499994431,59.82,22.88,1022.44
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09-05-24 23:42:08,4.5,4.499994624,59.87,22.89,1022.34
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09-05-24 23:43:18,5.0,4.999994291,59.77,22.33,1021.37
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09-05-24 23:43:26,5.0,4.999994274,59.82,22.91,1022.43
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09-05-24 23:43:35,5.0,4.999994291,59.84,22.92,1022.43
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09-05-24 23:44:44,5.5,5.499995242,59.81,22.92,1022.42
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09-05-24 23:44:53,5.5,5.499994732,59.71,22.9,1022.36
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09-05-24 23:46:11,6.0,5.999994117,59.88,22.91,1022.38
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09-05-24 23:46:19,6.0,5.99999424,59.87,22.9,1022.36
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09-05-24 23:46:28,6.0,5.999993976,59.82,22.54,1021.8
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09-05-24 23:47:37,6.5,6.499995262,59.93,22.88,1022.44
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09-05-24 23:47:46,6.5,6.499995086,59.96,22.88,1022.43
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09-05-24 23:49:04,7.0,6.999994084,59.99,22.47,1021.65
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09-05-24 23:49:12,7.0,6.999994348,59.99,22.9,1022.4
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09-05-24 23:49:21,7.0,6.999994454,60.0,22.9,1022.42
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09-05-24 23:50:30,7.5,7.499993821,59.96,22.75,1022.14
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09-05-24 23:50:39,7.5,7.49999412,60.0,22.92,1022.38
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09-05-24 23:50:47,7.5,7.499994349,59.94,22.92,1022.37
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09-05-24 23:51:57,8.0,7.999994825,59.75,22.67,1022.01
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09-05-24 23:52:05,8.0,7.999994808,59.92,22.9,1022.31
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09-05-24 23:52:13,8.0,7.999995265,60.02,22.9,1022.41
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09-05-24 23:53:23,8.5,8.499994263,60.01,22.92,1022.37
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09-05-24 23:53:31,8.5,8.499994492,59.83,22.04,1020.85
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09-05-24 23:53:40,8.5,8.499994492,59.93,22.9,1022.32
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09-05-24 23:54:49,9.0,8.999995197,60.04,22.71,1021.99
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09-05-24 23:54:58,9.0,8.999995443,60.04,22.92,1022.29
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09-05-24 23:55:06,9.0,8.999995461,60.05,22.93,1022.36
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09-05-24 23:56:16,9.5,9.499994318,60.08,22.93,1022.36
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09-05-24 23:56:33,9.5,9.499994952,60.03,22.94,1022.38
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09-05-24 23:57:42,10.0,9.999996079,59.98,22.93,1022.42
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09-05-24 23:57:51,10.0,9.999995938,60.04,22.93,1022.39
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09-05-24 23:57:59,10.0,9.999995639,60.02,22.69,1021.95
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09-05-24 23:59:09,10.5,10.49999576,60.17,22.92,1022.42
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09-05-24 23:59:26,10.5,10.49999576,60.15,22.92,1022.4
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10-05-24 00:00:35,11.0,10.99999723,60.11,22.93,1022.31
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10-05-24 00:00:44,11.0,10.99999733,60.15,22.94,1022.33
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10-05-24 00:02:02,11.5,11.49999749,60.07,22.95,1022.4
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