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wavesummary.py
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wavesummary.py
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# !/usr/bin/python
# vim: set fileencoding=utf-8
# coding=utf8
""" wavesummary -- module summarizing wave attributes over a period of time
Copyright (c) 2016-2018 Kirk Carlson, All Rights Reserved
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""
#### IMPORTS ####
import datetime
import average
import influx
#### CONSTANTS ####
POWER_DEGRADATION = .02 # amount to decrease dominant power per second
#### ENUMERATED TYPES ####
#### CLASSES ####
class Wavesummary(object):
"""Keep track of wave attributes over time."""
def __init__(self, outChan, influxObj):
"""initialize the attributes of a wave
Args:
outChan: channel for output stream
influxObj: influx.Influx object
Returns:
None
Raises:
None
"""
self.outChan = outChan
self.ifx = influxObj
self.startTick = 0
self.noiseThreshold = 1. # temp for now 0.
self.noiseThresholdTick = None
self.maxPeriod = 0
self.maxPeak = 0
self.maxPower = 0
self.minPeriod = None
self.minPeak = None
self.minPower = None
self.avePeriod = average.Average("Wave Period Average", "nW?", 50)
self.avePeak = average.Average("Wave Period Average", "nW?", 50)
self.avePower = average.Average("Wave Power Average", "nW?", 50)
self.avePower.update( 1) # same as 1" x 1s wave temp for now
self.totPower = 0
def reset( self, tick):
"""reset the accumulated wave statistics to begin anew
Args:
tick: float (s) epoch of the start of sampling period
Returns:
None
Raises:
None
"""
self.startTick = tick
self.noiseThreshold = 1.
self.noiseThresholdTick = None
self.maxPeriod = 0
self.maxPeak = 0
self.maxPower = 0
self.minPeriod = None
self.minPeak = None
self.minPower = None
self.avePeriod.reset()
self.avePeak.reset()
self.avePower.reset()
self.avePower.update( 1) # same as 1" x 1s wave temp for now
self.totPower = 0
def update( self, tick, period, peak, power):
"""update the accumated wave statistics with this wave
Args:
tick: float (s) time of the end of the wave
period: float (s) period of the wave
peak: float (in) peak to peak height of the wave
power: float (mW?) power of the wave
Returns:
None
Raises:
None
"""
dtd = datetime.datetime.fromtimestamp( tick)
print " wave.update {:%H:%M:%S}.{:02d} per:{:.2f} pk:{:.2f} pow:{:.2f}".format(\
dtd, dtd.microsecond/10000, period, peak, power)
if self.noiseThresholdTick is None:
heldPower = self.noiseThreshold
else:
heldPower = self.noiseThreshold * (
1 - (POWER_DEGRADATION * (tick - self.noiseThresholdTick)))
# print " noise in:{:.3f} PD:{:.2f} tick:{:.1f} nTTick:{:.1f} heldP:{:.3f}".format(\
# self.noiseThreshold, \
# POWER_DEGRADATION, \
# tick, \
# self.noiseThresholdTick, \
# heldPower)
if power > heldPower:
self.noiseThreshold = power
else:
self.noiseThreshold = heldPower
self.noiseThresholdTick = tick
if period > self.maxPeriod:
self.maxPeriod = period
if self.minPeriod is None or period < self.minPeriod:
self.minPeriod = period
if peak > self.maxPeak:
self.maxPeak = peak
if self.minPeak is None or peak < self.minPeak:
self.minPeak = peak
if power > self.maxPower:
self.maxPower = power
if self.minPower is None or power < self.minPower:
self.minPower = power
self.avePeriod.update( period)
self.avePeak.update( peak)
self.avePower.update( power)
self.totPower = self.totPower + power
self.ifx.sendPoint( tick, "cluster", "wavePeriod", period)
self.ifx.sendPoint( tick, "cluster", "wavePeak", peak)
self.ifx.sendPoint( tick, "cluster", "wavePower", power)
self.ifx.sendPoint( tick, "cluster", "wavePowerAve", self.avePower.average)
self.ifx.sendPoint( tick, "cluster", "wavePowerNoise", self.noiseThreshold)
def report( self):
"""generate report of collected wave statistics
Args:
None
Returns:
None
Raises:
None
"""
print "wave.report"
if self.minPeriod is None:
print " no wave report at this time"
return
print " Period: min {:.2f} max {:.2f} ave {:.2f}".format (
self.minPeriod, self.maxPeriod, self.avePeriod.average)
print " Peak: min {:.2f} max {:.2f} ave {:.2f}".format (
self.minPeak, self.maxPeak, self.avePeak.average)
print " Power: min {:.2f} max {:.2f} ave {:.2f}".format (
self.minPower, self.maxPower, self.avePower.average)
print " Power: noise {:.2f}".format ( self.noiseThreshold)
print " Power: total {:.2f}".format ( self.totPower)
#### FUNCTIONS ####
def test():
"""tests the functions of this module
Args:
None
Returns:
None
Raises:
None
"""
pass # not much of a test
if __name__ == "__main__":
# execute only if run as a script
test()