def generateSparklineJS()

in crashes.py [0:0]
41 lines of code
15 McCabe index (conditional complexity)

def generateSparklineJS(sigStats, operatingSystems, operatingSystemVers, firefoxVers, archs, className):
  # generate stats data for crash rate over time graphs
  #   data = [ {name: "Bitcoin", date: "2017-01-01", value: 967.6}, ]
  #"Windows": {
  #  "6.1": {
  #    "x86": {
  #      "91.0a1": {
  #        "clientcount": 1,
  #        "crashcount": 3
  #      }
  #    }
  #  }
  #}

  rawData = dict()
  for dateStr in sigStats['crashdata']:
    for os in operatingSystems:
      for osver in operatingSystemVers:
        for arch in archs:
          for fxver in firefoxVers:
            try:
              stats = sigStats['crashdata'][dateStr][os][osver][arch][fxver]
              rawData[dateStr] = { 'os': os, 'crashcount': stats['crashcount'] }
            except:
              pass # some dates may not apply to a particular combination

  # average data for each os to smooth out the graph
  # {name: "Windows", date: "2021-06-24", value: 84}

  # generate a list of dates
  avgData = dict()
  dates = list(rawData.keys())
  dates.sort()

  # generate an os list [not used]
  osList = list()
  for targetDate in dates:
    os = rawData[targetDate]['os']
    if os not in osList:
      osList.append(os)

  # generate plot data
  plotData = '['
  template = '{name: "$name", date: "$date", value: $value},'

  for targetDate in dates:
    pd = date.fromisoformat(targetDate)
    minDate = pd - timedelta(3)
    maxDate = pd + timedelta(4)
    crashCount = 0
    dataPoints = 0

    for tmpDateStr in dates:
      tmpDate = date.fromisoformat(tmpDateStr)
      if tmpDate >= minDate and tmpDate <= maxDate:
        crashCount += rawData[pd.isoformat()]['crashcount']
        dataPoints += 1

    if dataPoints == 0:
      avgData[targetDate] = 0
    else:
      avgData[targetDate] = crashCount / dataPoints

    #print("date:%s cc=%d dp=%d avg=%f" % (targetDate, crashCount, dataPoints, avgData[targetDate]))
    plotData += Template(template).substitute(name='All', date=targetDate, value=avgData[targetDate])

  plotData += ']'
  #print(plotData)
  template = 'sparkline(document.querySelector("$cname"), $data, sloptions);' ## sloptions defined in template.html
  return Template(template).substitute(data=plotData, cname='.' + className)