mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-01 19:28:00 +00:00
python scripts for wifi diag with pyshark
This commit is contained in:
42
wifi_diag/wifi_diag_python/Dataplot.py
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42
wifi_diag/wifi_diag_python/Dataplot.py
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@@ -0,0 +1,42 @@
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import matplotlib.pyplot as plt
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import base64
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from io import BytesIO
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import os
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import datetime
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time = (datetime.datetime.now().time())
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name = "WIFI_Diag"
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name += str(time)
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name += "/"
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name = name.replace(":","_")
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if not os.path.exists(str(name)):
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os.makedirs(str(name))
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class Plot:
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def __init__(self):
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# print("In Plot")
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pass
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def bar(self, datax="", datay=" ", title="Temp", xaxis="xaxis", yaxis="yaxis",figname="temp"):
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# fig = plt.figure()
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self.tmpfile = BytesIO()
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plt.xlabel(xaxis)
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plt.ylabel(yaxis)
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plt.title(title)
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plt.xticks(rotation=90)
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plt.rc('xtick', labelsize=8)
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plt.rc('ytick', labelsize=8)
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plt.bar(datax, datay)
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path = plt.savefig(str(name)+str(figname)+".png",bbox_inches='tight')
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# plt.savefig(str(title)+".png")
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plt.savefig(self.tmpfile, format='png')
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self.encoded = base64.b64encode(self.tmpfile.getvalue()).decode('utf-8')
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# print("self.encoded",path)
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plt.clf()
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return str(name)+str(figname)+".png"
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243
wifi_diag/wifi_diag_python/htmlText.py
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243
wifi_diag/wifi_diag_python/htmlText.py
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import datetime
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import matplotlib.pyplot as plt
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import base64
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from io import BytesIO
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html = open("wifi_diag.html", 'w')
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def htmlstart():
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start = """<!DOCTYPE html>
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<!-- This is for Banner -->
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<body>
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<title> WIFI Diag Report </title> <link rel='shortcut icon' href='canvil.ico' type='image/x-icon' />
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<link rel='stylesheet' href='report.css' />
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<link rel='stylesheet' href='custom.css' />
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<style>
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pre {
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overflow: auto;
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}
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img {
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width: 100%;
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max-width: 8in;
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}
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</style>
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</head>
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<div class='Section report_banner-1000x205' style='background-image:url("report_banner-1000x205.jpg");background-repeat:no-repeat;padding:0;margin:0;min-width:1000px; min-height:205px;width:1000px; height:205px;max-width:1000px; max-height:205px;'>
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<img align='right' style='padding:0;margin:5;width:200px;' src='CandelaLogo2-90dpi-200x90-trans.png' border='0' />
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<div class='HeaderStyle'>
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<h1 class='TitleFontPrint'>WIFI Diag Report</h1><br/><h3 class='TitleFontPrintSub'></h3><br><br/>
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<h4 class='TitleFontPrintSub'><br><br></br></br>"""
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html.write(start)
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html.write(str(datetime.datetime.now()))
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html.write("</h4></div></div></body>")
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def downloadBtn():
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text = """<tr><p align="right">
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<td><input class="btn" type="submit" value="Print" name="Submit" id="printbtn" onclick="window.print()" /></td>
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</tr></p>"""
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html.write(text)
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def htmlobj(text):
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html.write("<h2> Objecitve </h2>")
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html.write("<p>")
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html.write(str(text))
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html.write("</p>")
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def htmlpointview():
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pointview = """
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<!--For Point view -->
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<style>
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ul, #myUL {
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list-style-type: none;
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}
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#myUL {
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margin: 0;
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padding: 0;
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}
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.box {
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cursor: pointer;
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-webkit-user-select: none; /* Safari 3.1+ */
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-moz-user-select: none; /* Firefox 2+ */
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-ms-user-select: none; /* IE 10+ */
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user-select: none;
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}
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.box::before {
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content: "\\2610";
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color: black;
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display: inline-block;
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margin-right: 6px;
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}
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.check-box::before {
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content: "\\2611";
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color: dodgerblue;
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}
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.nested {
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display: none;
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}
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.active {
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display: block;
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}
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* {
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box-sizing: border-box;
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}
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.column {
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float: left;
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width: 100%;
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}
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.row::after {
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content: "";
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clear: both;
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display: table;
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}
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.borderexample {
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border-style:solid;
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border-color: hsl(0, 0%, 73%);
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}
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.btn {
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background-color: DodgerBlue;
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border: none;
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color: white;
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padding: 12px 30px;
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cursor: pointer;
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font-size: 20px;
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}
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/* Darker background on mouse-over
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.btn:hover {
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background-color: RoyalBlue;
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}
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</style>
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</head>
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"""
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html.write(str(pointview))
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def htmlTableSummary(Summary):
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tableSummary = "<body><!-- This is heading and Summary --><h2> About: </h2> \
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<p>"+str(Summary)+"</p> \n"
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html.write(str(tableSummary))
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def myUL():
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html.write("<ul id='myUL'>")
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def htmlSpanBox(Table):
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tablespan = "<li><span class= 'box borderexample'>"+str(Table)+"</span> <ul class='nested'> "
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html.write(tablespan)
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def htmlSpanBox1():
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tablespan = "<li><span class='box'> Table </span> <ul class='nested'> "
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html.write(tablespan)
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def htmltable(Heading,data,image1,image2,image3):
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# htmlBreak(1)
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htmlSpanBox(Heading)
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htmlTableSummary("This is table summary below Objective \n")
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htmlSpanBox1()
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html.write("<li><span> ")
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html.write(str(data))
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html.write("</span></li> ")
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htmltableimage(image1,image2,image3)
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def htmltableimage(image1, image2, image3):
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if image1 != "0":
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imagePre = "<div class='column'> \
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<img style='padding:0;margin:3;width:450px;' src="
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html.write(imagePre)
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html.write(image1)
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imagepost = " border='0' /> \
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</div>"
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html.write(imagepost)
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if image2 != "0":
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imagePre = "<div class='column'> \
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<img style='padding:0;margin:3;width:450px;' src="
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html.write(imagePre)
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html.write(image2)
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imagepost = " border='0' /> \
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</div>\n"
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html.write(imagepost)
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if image3 != "0":
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imagePre = "<div class='column'> \
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<img style='padding:0;margin:3;width:450px;' src="
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html.write(imagePre)
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html.write(image2)
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imagepost = " border='0' /> \
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</div>"
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html.write(imagepost)
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html.write("</ul></ul></li><br>")
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def closemyUl():
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html.write("</ul>\n")
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def htmlclose():
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data = """
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<script>\n
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var toggler = document.getElementsByClassName("box");\n
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var i;\n
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for (i = 0; i < toggler.length; i++) {\n
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toggler[i].addEventListener("click", function() {\n
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this.parentElement.querySelector(".nested").classList.toggle("active");\n
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this.classList.toggle("check-box");\n
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});\n
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}\n
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</script>
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</body>
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"""
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html.write(data)
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html.write("</html>")
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def htmlBreak(lines):
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for i in range(lines):
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html.write("<br></br>")
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def htmlSpace(space):
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Space = """<style>
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.tab1 {
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tab-size:""" + str(space) + """;
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}
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</style>"""
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html.write(Space)
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def htmlText(text, title):
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title = "<h2" + str(title) + "</h2>"
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data = "<p>" + str(text) + "<p/>"
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html.write(title)
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html.write(data)
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#htmlstart()
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#htmlobjective()
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#htmlpointview()
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#htmlsummary()
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#myUl
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#htmlspanbox()
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#htmltable
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#closemyul()
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#htmlclose()
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524
wifi_diag/wifi_diag_python/scratch.py
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524
wifi_diag/wifi_diag_python/scratch.py
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"""
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-----------------------------------------------------------------------------
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Name : WIFI Diag
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Author : Sushant Bawiskar
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Date : 20 September 2020
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------------------------------------------------------------------------------
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"""
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"""
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Example: python PcaplibFiles.py --input "11ax.pcapng","sta1.pcap"
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"""
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import datetime
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import pyshark
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import pandas as pd
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from bokeh.plotting import figure, output_file, show, save
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from bokeh.io.export import get_screenshot_as_png, export_png, export_svgs, export_svg
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import matplotlib.pyplot as plt
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from plotly.offline import iplot, init_notebook_mode
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import plotly.express as px
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import plotly.graph_objects as go
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from plotly.subplots import make_subplots
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import matplotlib.pyplot as plt
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import base64
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from io import BytesIO
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from htmlText import *
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from Dataplot import Plot
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import shutil
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import argparse
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import logging
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import numpy as np
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import os
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def PacketHistogram(subtype_list, Managementls, Controlls, Data_framels, count):
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# Created a Dictonary of Management Frame : {Subtype} , Control Frame : {Subtype} , Data Frame : {Subtype}
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Type_Subtype = {"Management Frame": [Managementls], "Control Frame": [Controlls], "Data Frame": [Data_framels]}
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Type_list = []
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Sub_list = []
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pack_list = []
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per_list = []
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# To calculate Total number of Subtype of packets in Type
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# Ex. To calculate how many packets have a subtype which are in Management/Control/Data Frame Type
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for Type, Subtype in Type_Subtype.items():
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liskeys = []
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for key in subtype_list.values():
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if (key in liskeys):
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continue
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val = Subtype[0].count(key)
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liskeys.append(key)
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# liskeys.append(key)
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if (val != 0):
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# Type_list = [Type,key,val,(val*100)/count]
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Type_list.append(str(Type))
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Sub_list.append(key)
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pack_list.append(val)
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per_list.append((round((val * 100) / count, 2)))
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# Type_list.append("")
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Sub = Sub_list
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NewSubList = Sub_list
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# NewSubList.append("Sum: ")
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#
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# pack_list.append(sum(pack_list))
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NewPerList = per_list
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# NewPerList.append(sum(NewPerList))
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print(len(subtype_list),len(NewSubList),len(pack_list),print(NewPerList))
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df_Type = pd.DataFrame(({"Type": Type_list, "Subtype": NewSubList, "Packet to packet": pack_list, "Percentage": NewPerList}))
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# print("df_Type",df_Type)
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df_Type = df_Type.to_html()
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# NewPerList.pop()
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# NewSubList.pop()
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plot = Plot()
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path = plot.bar(datax=NewSubList,datay=NewPerList,title="Type/SubType plot",xaxis="Subtype",yaxis="Percentage",figname="Type")
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htmltable(" Packet Type histogram", df_Type, str(path), "0", "0")
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def RateHistogram(DataRate, PhyType, SignalStrength, count):
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countUniqueData = []
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perUniqueData = []
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countUniquePhy = []
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perUniquePhy = []
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countUniqueSignal = []
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perUniqueSignal = []
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# This is for Data Table Histogram
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uniqueData = np.unique(DataRate)
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for i in uniqueData:
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countUniqueData.append(DataRate.count(i))
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uniqueData = [i for i in uniqueData]
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# uniqueData.append("Sum: ")
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# countUniqueData.append(sum(countUniqueData))
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dictRate = (dict(zip(uniqueData, countUniqueData, )))
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for c in countUniqueData:
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perUniqueData.append(round((c * 100) / count, 2))
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df_Rate = pd.DataFrame({"Rate MBPS": [i for i in dictRate.keys()], "Packet to packet": [j for j in dictRate.values()], "Percentage": [k for k in perUniqueData]})
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df_Rate = df_Rate.T
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df_Rate.columns = df_Rate.iloc[0]
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df_Rate = df_Rate.drop(df_Rate.iloc[0].index.name)
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df_Rate = df_Rate.to_html()
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# uniqueData.pop()
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# perUniqueData.pop()
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plot1 = Plot()
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path = plot1.bar(datax=uniqueData, datay=perUniqueData, title="Rate plot", xaxis="Rate MBPS", yaxis="Percentage",
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figname="rate")
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htmltable(" Encoding rate histogram.", df_Rate, str(path), "0", "0")
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# This is for Phy Histogram
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uniquePhy = np.unique(PhyType)
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for j in uniquePhy:
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countUniquePhy.append(PhyType.count(j))
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uniquePhy = [i for i in uniquePhy]
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# uniquePhy.append("Sum: ")
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# countUniquePhy.append(sum(countUniquePhy))
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dictPhy = (dict(zip(uniquePhy, countUniquePhy)))
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for d in countUniquePhy:
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perUniquePhy.append(round((d * 100) / count, 2))
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df_Phy = pd.DataFrame({"Phy": [i for i in dictPhy.keys()], "Packet to Packet": [j for j in dictPhy.values()],"Percentage": [k for k in perUniquePhy]})
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# print("df_Phy",df_Phy)
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# df_Phy = df_Phy.to_html()
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df_Phy = df_Phy.T
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||||
df_Phy.columns = df_Phy.iloc[0]
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df_Phy = df_Phy.drop(df_Phy.iloc[0].index.name)
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df_Phy = df_Phy.to_html()
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dictphys = [i for i in dictPhy.keys()]
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# dictphys.pop()
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# perUniquePhy.pop()
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plot2 = Plot()
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path = plot2.bar(datax=dictphys, datay=perUniquePhy, title="Phy plot", xaxis="Subtype", yaxis="Percentage",
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figname="Phy")
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||||
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htmltable(" Phy Histogram.",df_Phy,str(path),"0","0")
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||||
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||||
# This is for Signal Histogram
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uniqueSignal = np.unique(SignalStrength)
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for k in uniqueSignal:
|
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countUniqueSignal.append(SignalStrength.count(k))
|
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uniqueSignal = [i for i in uniqueSignal]
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# uniqueSignal.append("Sum: ")
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# countUniqueSignal.append(sum(countUniqueSignal))
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dictSig = (dict(zip(uniqueSignal, countUniqueSignal)))
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for e in countUniqueSignal:
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perUniqueSignal.append(round((e * 100) / count, 2))
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||||
# perUniqueSignal.append(sum(perUniqueSignal))
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# pd.DataFrame.reset_index(drop=True,inplace=True)
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# df_Sig = pd.DataFrame({"Signal": [i for i in dictSig.keys()], "Packet to Packet": [j for j in dictSig.values()],
|
||||
# "Percentage": [k for k in perUniqueSignal]})
|
||||
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||||
# pd.DataFrame.reset_index(drop=True,inplace=True)
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print([k for k in dictSig.keys()])
|
||||
print([i for i in dictSig.values()])
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||||
print("perUniqueSignal",perUniqueSignal)
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||||
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||||
# pd.DataFrame
|
||||
df_Sig = pd.DataFrame({"Signal":[k for k in dictSig.keys()],"Packet":[i for i in dictSig.values()],"Percentage":[j for j in perUniqueSignal]})
|
||||
|
||||
df_Sig = df_Sig.T
|
||||
df_Sig.columns = df_Sig.iloc[0]
|
||||
df_Sig = df_Sig.drop(df_Sig.iloc[0].index.name)
|
||||
# df_Sig.columns.name = None
|
||||
# df_Sig.index.name = "Signal"
|
||||
print("df_Sig",df_Sig)
|
||||
# print("df_Sig",df_Sig)
|
||||
|
||||
# df_Sig = df_Sig.to_html()
|
||||
|
||||
# df_Sig = df_Sig.transpose()
|
||||
df_Sig = df_Sig.to_html()
|
||||
|
||||
# perUniqueSignal.pop()
|
||||
dictSigs = [i for i in dictSig.keys()]
|
||||
# dictSigs.pop()
|
||||
|
||||
plot3 = Plot()
|
||||
path = plot2.bar(datax=dictSigs, datay=perUniqueSignal, title="Signal plot", xaxis="Signal", yaxis="Percentage",
|
||||
figname="Signal")
|
||||
htmltable(" Signal Histogram.", df_Sig, str(path), "0", "0")
|
||||
|
||||
# print(dictSigs,perUniqueSignal)
|
||||
|
||||
|
||||
|
||||
|
||||
class shark:
|
||||
def __init__(self):
|
||||
# FilePath having pcap file
|
||||
# self.FilePath = "wifi_diag.pcap"
|
||||
# self.FilePath = "C:\Candela\Scripts\Lanforge scripts\lanforge-scripts-master\wifi_diag\wifi_diag.pcapng"
|
||||
# self.FilePath = "wifi_diag.pcap"
|
||||
# self.FilePath = "C:\candela\pcap\wifi.pcapng"
|
||||
self.FilePath = "C:\candela\pcap\\ac1_28Sept.pcapng"
|
||||
# self.FilePath = "C:\Candela\My_Scripts\WIFI_diag11ax\wifi.pcapng"
|
||||
# self.FilePath = "wifi_diag.pcap"
|
||||
|
||||
self.cap = pyshark.FileCapture(self.FilePath)
|
||||
print("Strt time stamp :",datetime.datetime.now())
|
||||
|
||||
def Extract(self):
|
||||
|
||||
type_list = {"0": "Management frame", "1": "Control Frame", "2": "Data frame"}
|
||||
subtype_list = {"80": "Beacon frame", "d0": "Action", "b4": "Request-to-send", "d4": "Acknowledgement", \
|
||||
"88": "QoS Data", "84": "Block Ack Req", "94": "Block Ack Req", "08": "Data", \
|
||||
"40": "Probe Request", "50": "Probe Response", "b0": "Authentication",
|
||||
"a2": "Disassociate", "a8": "QoS Data + CF-Poll", "c8":"QoS Null function", \
|
||||
"10": "Association Response", "00": "Association Request", "c4": "Clear-to-send", \
|
||||
"98": "QoS Data + CF-Acknowledgment", "24": "Trigger", "28": "Data + CF-Poll" ,\
|
||||
"d8": "Unknown", "54": "VHT/HE NDP Announcement", "e8": "QoS CF-Poll", \
|
||||
"b8" : "QoS Data + CF-Ack + CF-Poll", "18": "Data + CF-Ack", "48" : "Null function", \
|
||||
"69" : "CF-Poll"
|
||||
}
|
||||
|
||||
|
||||
Managementls = []
|
||||
Controlls = []
|
||||
Data_framels = []
|
||||
PhyType = []
|
||||
DataRate = []
|
||||
SignalStrength = []
|
||||
|
||||
|
||||
MCSIndex = []
|
||||
uniqueMCSIndex = []
|
||||
countUniqueMCSIndex = []
|
||||
MCSIndex
|
||||
|
||||
Bandwidth = []
|
||||
countUniqueBandwidth = []
|
||||
|
||||
PHY = []
|
||||
countUniquePHY = []
|
||||
|
||||
Spatial_Stream = []
|
||||
countUniqueSpatial_stream = []
|
||||
|
||||
count = 0
|
||||
vWLAN_RADIO = 0
|
||||
vsignalstrength = 0
|
||||
vPhy = 0
|
||||
vdatarate = 0
|
||||
vWLAN = 0
|
||||
|
||||
""" Comment
|
||||
"""
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# print(wlan_radio_Fields_keys,wlan_radio_Fields_values)
|
||||
|
||||
# if "wlan_radio.phy" and "wlan_radio.11ac.bandwidth" and "wlan_radio.11ac.mcs" and "wlan_radio.11ac.nss" in wlan_radio_Fields_keys:
|
||||
# # print(dir(packet.wlan_radio._all_fields["wlan_radio.phy"]))
|
||||
# # print(packet.wlan_radio._all_fields["wlan_radio.phy"].showname_value) #for PHY
|
||||
# # print(packet.wlan_radio._all_fields["wlan_radio.11ac.bandwidth"].showname_value) #for BW
|
||||
# # print(packet.wlan_radio._all_fields["wlan_radio.11ac.mcs"].showname_value) #for MCS
|
||||
# # print(packet.wlan_radio._all_fields["wlan_radio.11ac.nss"].showname_value) #for Spatial streams
|
||||
# PHY.append(packet.wlan_radio._all_fields["wlan_radio.phy"].showname_value)
|
||||
# Bandwidth.append(packet.wlan_radio._all_fields["wlan_radio.11ac.bandwidth"].showname_value)
|
||||
# MCSIndex.append(packet.wlan_radio._all_fields["wlan_radio.11ac.mcs"].showname_value)
|
||||
# Spatial_Stream.append(packet.wlan_radio._all_fields["wlan_radio.11ac.nss"].showname_value)
|
||||
|
||||
# _data = (packet.wlan_radio._all_fields)
|
||||
# print(type(_data))
|
||||
# phy, _11ac_short_gi, _11ac_bandwidth, _11ac_user, _11ac_mcs, _11ac_nss, _11ac_fec, _data_rate = (packet.wlan_radio._all_fields)
|
||||
# print(phy.get_field_value)
|
||||
|
||||
|
||||
"""
|
||||
comment
|
||||
"""
|
||||
|
||||
|
||||
for packet in self.cap:
|
||||
count += 1
|
||||
|
||||
# print(count)
|
||||
|
||||
|
||||
try:
|
||||
WLAN_RADIO = packet.wlan_radio
|
||||
vWLAN_RADIO = 1
|
||||
try:
|
||||
signalstrength = WLAN_RADIO.signal_dbm
|
||||
vsignalstrength = 1
|
||||
except:
|
||||
pass
|
||||
|
||||
try:
|
||||
phy = WLAN_RADIO.phy.showname_value
|
||||
vPhy = 1
|
||||
except:
|
||||
pass
|
||||
|
||||
try:
|
||||
datarate = WLAN_RADIO.data_rate
|
||||
vdatarate = 1
|
||||
except:
|
||||
pass
|
||||
|
||||
except:
|
||||
pass
|
||||
# print("WLAN RADIO NOT FOUND")
|
||||
|
||||
try:
|
||||
RADIOTAP = packet.radiotap
|
||||
except:
|
||||
# print("RADIOTAP NOT FOUND")
|
||||
pass
|
||||
|
||||
try:
|
||||
WLAN = packet.wlan
|
||||
vWLAN = 1
|
||||
except:
|
||||
pass
|
||||
# print("WLAN NOT FOUND")
|
||||
|
||||
|
||||
PacketCount = (packet.number)
|
||||
# print("PacketCount: ", PacketCount)
|
||||
|
||||
|
||||
if vWLAN == 1:
|
||||
# print("WLAN found")
|
||||
# Type/Subtype raw value
|
||||
type_raw = (str(packet.wlan.fc_type.raw_value))
|
||||
subtype_raw = ((packet.wlan.fc_type_subtype.raw_value))
|
||||
|
||||
# Name of values Types/Subtype
|
||||
type = (str(packet.wlan.fc_type.showname_value))
|
||||
subtype = (str(packet.wlan.fc_type_subtype.showname_value))
|
||||
|
||||
# Sorting Subtypes by Types as a refrence
|
||||
if (type_raw == "0"):
|
||||
try:
|
||||
Managementls.append(subtype_list[subtype_raw])
|
||||
except:
|
||||
pass
|
||||
|
||||
elif (type_raw == "1"):
|
||||
try:
|
||||
Controlls.append(subtype_list[subtype_raw])
|
||||
except:
|
||||
print("Control Frame", subtype, subtype_raw)
|
||||
|
||||
elif (type_raw == "2"):
|
||||
try:
|
||||
Data_framels.append(subtype_list[subtype_raw])
|
||||
|
||||
except:
|
||||
print("Data frame", subtype, subtype_raw)
|
||||
|
||||
else:
|
||||
print("\nMissing Type in table : ", type_raw, subtype, subtype_raw, "\n")
|
||||
else:
|
||||
print("Packet Number :",count,":"," WLAN NOT FOUND")
|
||||
|
||||
vWLAN = 0
|
||||
if vWLAN_RADIO == 1:
|
||||
# print("vWLAN Found")
|
||||
|
||||
wlan_radio_Fields_keys = []
|
||||
wlan_radio_Fields_values = []
|
||||
|
||||
for keys, values in packet.wlan_radio._all_fields.items():
|
||||
# print(keys, ":", values)
|
||||
wlan_radio_Fields_keys.append(keys)
|
||||
wlan_radio_Fields_values.append(values)
|
||||
|
||||
|
||||
if vdatarate == 1:
|
||||
DataRate.append(datarate)
|
||||
|
||||
if vPhy == 1:
|
||||
PhyType.append(phy)
|
||||
|
||||
if vsignalstrength == 1:
|
||||
SignalStrength.append(signalstrength)
|
||||
|
||||
vWLAN_RADIO = 0
|
||||
else:
|
||||
print("Packet Number :",count," WLAN RADIO NOT FOUND")
|
||||
|
||||
try:
|
||||
vMCS = 0
|
||||
{"MCSIndex":['0 (BPSK 1/2)','1 (QPSK 1/2)','2 (QPSK 3/4)','4 (16-QAM 3/4)','5 (64-QAM 2/3)']}
|
||||
{"Spatial_stream":["2"]}
|
||||
{}
|
||||
if "wlan_radio.11ac.bandwidth" and "wlan_radio.11ac.bandwidth" and "wlan_radio.phy" and \
|
||||
"wlan_radio.11ac.mcs" and "wlan_radio.11ac.nss" in wlan_radio_Fields_keys:
|
||||
# print(dir(packet.wlan_radio._all_fields["wlan_radio.phy"]))
|
||||
# print(packet.wlan_radio._all_fields["wlan_radio.phy"].showname_value) #for PHY
|
||||
# print(packet.wlan_radio._all_fields["wlan_radio.11ac.bandwidth"].showname_value) #for BW
|
||||
# print(packet.wlan_radio._all_fields["wlan_radio.11ac.mcs"].showname_value) #for MCS
|
||||
# print(packet.wlan_radio._all_fields["wlan_radio.11ac.nss"].showname_value) #for Spatial streams
|
||||
PHY.append(packet.wlan_radio._all_fields["wlan_radio.phy"].showname_value)
|
||||
Bandwidth.append(packet.wlan_radio._all_fields["wlan_radio.11ac.bandwidth"].showname_value)
|
||||
MCSIndex.append(packet.wlan_radio._all_fields["wlan_radio.11ac.mcs"].showname_value)
|
||||
Spatial_Stream.append(packet.wlan_radio._all_fields["wlan_radio.11ac.nss"].showname_value)
|
||||
vMCS = 1
|
||||
except:
|
||||
pass
|
||||
|
||||
# print("MCSIndex",len(MCSIndex),MCSIndex)
|
||||
# print("Bandwidth",len(Bandwidth),Bandwidth)
|
||||
# print("PHY",len(PHY),PHY)
|
||||
# print("Spatial_Stream",len(Spatial_Stream),Spatial_Stream)
|
||||
|
||||
uniqueMCSIndex = np.unique(MCSIndex)
|
||||
uniqueBandwidth = ((np.unique(Bandwidth)))
|
||||
uniquePHY = ((np.unique(PHY)))
|
||||
uniqueSpatial_stream = ((np.unique(Spatial_Stream)))
|
||||
exit()
|
||||
|
||||
print("After appending time stamp :", datetime.datetime.now())
|
||||
# print(count)
|
||||
RateHistogram(DataRate, PhyType, SignalStrength, count)
|
||||
print("After RateHist time stamp :", datetime.datetime.now())
|
||||
PacketHistogram(subtype_list, Managementls, Controlls, Data_framels, count)
|
||||
print("After PacketHist time stamp :", datetime.datetime.now())
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
|
||||
# parser = argparse.ArgumentParser(description="To create a single pcap file combining multiple pcap files")
|
||||
# # parser.add_argument("-o", "--output", type=str, help="Enter the output pcap file name")
|
||||
# parser.add_argument("-i", "--input", type=str,
|
||||
# help="Enter the Name of the pcap files which needs to be combined")
|
||||
#
|
||||
# args = None
|
||||
#
|
||||
# try:
|
||||
# args = parser.parse_args()
|
||||
# output = "wifi_diag.pcap"
|
||||
#
|
||||
# if (args.input is not None):
|
||||
# input = args.input # 'C:\candela\pcap\\11ax.pcapng','C:\candela\pcap\sta1.pcap'
|
||||
# input = input.split(",")
|
||||
# print(input)
|
||||
#
|
||||
# # if (args.input is None):
|
||||
# # input = "11ax.pcapng", "sta1.pcap"
|
||||
#
|
||||
# except Exception as e:
|
||||
# logging.exception(e)
|
||||
# exit(2)
|
||||
#
|
||||
# with open(output, 'wb') as wfd:
|
||||
# print("input", input)
|
||||
# for f in (input):
|
||||
# with open(f, 'rb') as fd:
|
||||
# shutil.copyfileobj(fd, wfd)
|
||||
|
||||
htmlstart()
|
||||
downloadBtn()
|
||||
htmlobj("This is HTML objective")
|
||||
|
||||
htmlpointview()
|
||||
htmlTableSummary("This is html table summary")
|
||||
myUL()
|
||||
|
||||
|
||||
Extract = shark()
|
||||
Extract.Extract()
|
||||
# htmltable()
|
||||
|
||||
closemyUl()
|
||||
htmlclose()
|
||||
|
||||
|
||||
Reference in New Issue
Block a user