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Commit e9032062 authored by Tamas Gal's avatar Tamas Gal :speech_balloon:
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Add dom rates plotter

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#!/usr/bin/env python
# coding=utf-8
# Filename: dom_rates.py
# Author: Tamas Gal <tgal@km3net.de>
# vim: ts=4 sw=4 et
"""
Monitors DOM rates.
Usage:
dom_rates.py [options]
dom_rates.py (-h | --help)
Options:
-l LIGIER_IP The IP of the ligier [default: 127.0.0.1].
-p LIGIER_PORT The port of the ligier [default: 5553].
-d DET_ID Detector ID [default: 29].
-o PLOT_DIR The directory to save the plot [default: www/plots].
-h --help Show this screen.
"""
from __future__ import division
from io import BytesIO
import os
import numpy as np
import km3pipe as kp
import km3pipe.style
from km3modules.plot import plot_dom_parameters
VERSION = "1.0"
km3pipe.style.use('km3pipe')
class MonitorRates(kp.Module):
"""Creates a coloured dot for each DOM, representing their rates."""
def configure(self):
self.plots_path = self.require('plots_path')
det_id = self.require('det_id')
self.detector = kp.hardware.Detector(det_id=det_id)
self.index = 0
self.k40_2fold = {}
self.rates = {}
self.cuckoo = kp.time.Cuckoo(60, self.create_plot)
self.n_slices = 0
self.log("Starting DOM rates monitor")
def process(self, blob):
"""Store the rates from summary slices"""
self.index += 1
if self.index % 30:
return blob
data = blob['CHData']
data_io = BytesIO(data)
preamble = kp.io.daq.DAQPreamble(file_obj=data_io) # noqa
summaryslice = kp.io.daq.DAQSummaryslice(file_obj=data_io)
self.rates = {} # TODO: review this hack
for dom_id, rates in summaryslice.summary_frames.items():
du, dom, _ = self.detector.doms[dom_id]
self.rates[(du, dom)] = np.sum(rates) / 1000
self.cuckoo.msg()
return blob
def create_plot(self):
"""Creates the actual plot"""
print(self.__class__.__name__ + ": updating plot.")
filename = os.path.join(self.plots_path, 'dom_rates.png')
plot_dom_parameters(self.rates, self.detector, filename,
'rate [kHz]',
"DOM Rates",
vmin=200, vmax=400,
cmap='coolwarm', missing='black',
under='darkorchid', over='deeppink')
print("done")
def main():
from docopt import docopt
args = docopt(__doc__, version=VERSION)
det_id = int(args['-d'])
plots_path = args['-o']
ligier_ip = args['-l']
ligier_port = int(args['-p'])
pipe = kp.Pipeline()
pipe.attach(kp.io.ch.CHPump, host=ligier_ip,
port=ligier_port,
tags='IO_SUM',
timeout=60*60*24*7,
max_queue=2000)
pipe.attach(kp.io.daq.DAQProcessor)
pipe.attach(MonitorRates, det_id=det_id, plots_path=plots_path)
pipe.drain()
if __name__ == '__main__':
main()
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