def getFilteredAll():
try:
start = sys.argv[1]
except IndexError:
start = ''
try:
end = sys.argv[2]
except IndexError:
end = ''
try:
msgid = sys.argv[3]
except IndexError:
msgid = 32
sensors = qs.GetSensorDF()
for s in range(len(sensors)):
targetTable = sensors.name[s]
df = qs.GetRawAccelData(siteid = targetTable, fromTime = start, toTime = end, msgid = msgid)
numElements = len(df.index)
qs.PrintOut("Number of %s Raw elements: %s" % (targetTable, numElements))
if numElements > 0:
df_filtered = fs.applyFilters(df, orthof=True, rangef=True, outlierf=True)
numFiltered = len(df_filtered.index)
if numFiltered > 0:
qs.PrintOut("Number of %s filtered elements: %s" % (targetTable, numFiltered))
#print df_filtered
else:
qs.PrintOut("No valid filtered data for %s" % (targetTable))
orthof=True,
rangef=True,
outlierf=False)
df_filtered = fs.applyFilters(df,
orthof=False,
rangef=False,
outlierf=True)
numFiltered = len(df_filtered.index)
drawcountx = df_resampled.x.count()
drawcounty = df_resampled.y.count()
drawcountz = df_resampled.z.count()
dfinalcountx = df_filtered.x.count()
dfinalcounty = df_filtered.y.count()
dfinalcountz = df_filtered.z.count()
if numFiltered > 0:
qs.PrintOut("Data Count Summary for %s" % (targetTable))
qs.PrintOut("Raw Data (resampled without pad)")
qs.PrintOut("Xraw: %s" % (drawcountx))
qs.PrintOut("Yraw: %s" % (drawcounty))
qs.PrintOut("Zraw: %s" % (drawcountz))
qs.PrintOut("Filtered Data")
qs.PrintOut("Xf: %s" % (dfinalcountx))
qs.PrintOut("Yf: %s" % (dfinalcounty))
qs.PrintOut("Zf: %s" % (dfinalcountz))
#print df_filtered
else:
print "No valid filtered data for %s" % (targetTable)
def getFilteredData(isCmd = True, inSite = "", inNode = 1, inStart = "", inEnd = "", inMsgid = 32):
if isCmd == True:
try: #site selection
site = sys.argv[1]
except IndexError:
print "No site has been selected. Script unable to run!"
return
try: #node selection
node = sys.argv[2]
if node == 'nil':
node = -1
except IndexError:
node = -1
try: #start date
start = sys.argv[3]
if start == 'nil':
start = ''
except IndexError:
start = ''
try: #end date
end = sys.argv[4]
if end == 'nil':
end = ''
except IndexError:
end = ''
try: #switch between accel 1 and 2
msgid = sys.argv[5]
if msgid == 'nil':
msgid = 32
except IndexError:
msgid = 32
else:
site = inSite
node = inNode
start = inStart
end = inEnd
msgid = inMsgid
#print "variables: %s %s %s %s %s" % (site,node,start,end,msgid)
df = qs.GetRawAccelData(siteid = site, fromTime = start, toTime = end, msgid = msgid, targetnode = node)
numElements = len(df.index)
qs.PrintOut("Number of %s Raw elements: %s" % (site, numElements))
if numElements > 0:
df_filtered = fs.applyFilters(df, orthof=True, rangef=True, outlierf=False)
numFiltered = len(df_filtered.index)
if numFiltered > 0:
qs.PrintOut("Number of %s filtered elements: %s" % (site, numFiltered))
return df_filtered
else:
qs.PrintOut("No valid filtered data for %s" % (site))
return pd.DataFrame()
#return empty dataframe
return pd.DataFrame()
def GenLsbAlerts():
sites = qs.GetSensorList()
alertTxt = ""
alertTxt2 = ""
print "Getting lsb alerts"
for site in sites:
for nid in range(1, site.nos + 1):
df = ofd.getFilteredData(
isCmd=False,
inSite=site.name,
inNode=nid,
inStart=(dt.now() - td(7)).strftime("%y/%m/%d %H:%M:%S"))
isDFempty = df.empty
if isDFempty == True:
qs.PrintOut('No Data Available... for %s %s' %
(site.name, nid))
continue
df = df.set_index(['ts'])
df2 = df.copy()
dfa = []
try:
df3 = df2.resample('30Min').fillna(method='pad')
except pd.core.groupby.DataError:
#print "No data to resample %s %s" % (site.name, nid)
continue
dfv = df3 - df3.shift(12)
if len(dfa) == 0:
dfa = dfv.copy()
else:
dfa = dfa.append(dfv)
window = 48
dfarm = pd.rolling_mean(dfa, window)
dfarm = dfarm[dfarm.index > dt.now() - td(1)]
if (((abs(dfarm.x) > 0.25) | (abs(dfarm.y) > 0.25) |
(abs(dfarm.z) > 1.0)).any()):
ins = "%s,%s" % (site.name, nid)
alertTxt += ins
alertTxt2 += ins
print ins + '\t',
if ((abs(dfarm.x) > 0.25).any()):
print 'x',
alertTxt += ',1'
alertTxt2 += ',' + repr(max(abs(dfarm.x)))
else:
alertTxt += ',0'
alertTxt2 += ',0'
if ((abs(dfarm.y) > 0.25).any()):
print 'y',
alertTxt += ',1'
alertTxt2 += ',' + repr(max(abs(dfarm.y)))
else:
alertTxt += ',0'
alertTxt2 += ',0'
if ((abs(dfarm.z) > 1.0).any()):
print 'z',
alertTxt += ',1'
alertTxt2 += ',' + repr(max(abs(dfarm.z)))
else:
alertTxt += ',0'
alertTxt2 += ',0'
print ''
alertTxt += '\n'
alertTxt2 += '\n'
f = open('lsbalerts.csv', 'w')
f.write(alertTxt)
f.close()
f = open('lsbalerts2.csv', 'w')
f.write(alertTxt2)
f.close()