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import os, sys, platform |
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import pkg_resources as pr |
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import time |
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import math |
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import numpy as np |
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from datetime import datetime, timedelta |
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import rsudp.raspberryshake as rs |
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from rsudp import printM, printW, printE |
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import rsudp |
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import linecache |
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sender = 'plot.py' |
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QT = False |
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QtGui = False |
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PhotoImage = False |
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try: # test for matplotlib and exit if import fails |
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from matplotlib import use |
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try: # no way to know what machines can handle what software, but Tk is more universal |
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use('Qt5Agg') # try for Qt because it's better and has less threatening errors |
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from PyQt5 import QtGui |
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QT = True |
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except Exception as e: |
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printW('Qt import failed. Trying Tk...') |
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printW('detail: %s' % e, spaces=True) |
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try: # fail over to the more reliable Tk |
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use('TkAgg') |
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from tkinter import PhotoImage |
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except Exception as e: |
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printE('Could not import either Qt or Tk, and the plot module requires at least one of them to run.', sender) |
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printE('Please make sure either PyQt5 or Tkinter is installed.', sender, spaces=True) |
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printE('detail: %s'% e, sender, spaces=True) |
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raise ImportError('Could not import either Qt or Tk, and the plot module requires at least one of them to run') |
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import matplotlib.pyplot as plt |
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import matplotlib.dates as mdates |
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import matplotlib.image as mpimg |
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from matplotlib import rcParams |
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from matplotlib.ticker import EngFormatter |
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rcParams['toolbar'] = 'None' |
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plt.ion() |
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MPL = True |
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# avoiding a matplotlib user warning |
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import warnings |
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warnings.filterwarnings('ignore', category=UserWarning, module='rsudp') |
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except Exception as e: |
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printE('Could not import matplotlib, plotting will not be available.', sender) |
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printE('detail: %s' % e, sender, spaces=True) |
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MPL = False |
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ICON = 'icon.ico' |
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ICON2 = 'icon.png' |
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class Plot: |
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''' |
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.. role:: json(code) |
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:language: json |
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GUI plotting algorithm, compatible with both Qt5 and TkAgg backends (see :py:func:`matplotlib.use`). |
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This module can plot seismogram data from a list of 1-4 Shake channels, and calculate and display a spectrogram beneath each. |
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By default the plotted :json:`"duration"` in seconds is :json:`30`. |
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The plot will refresh at most once per second, but slower processors may take longer. |
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The longer the duration, the more processor power it will take to refresh the plot, |
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especially when the spectrogram is enabled. |
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To disable the spectrogram, set :json:`"spectrogram"` to :json:`false` in the settings file. |
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To put the plot into fullscreen window mode, set :json:`"fullscreen"` to :json:`true`. |
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To put the plot into kiosk mode, set :json:`"kiosk"` to :json:`true`. |
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:param cha: channels to plot. Defaults to "all" but can be passed a list of channel names as strings. |
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:type cha: str or list |
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:param int seconds: number of seconds to plot. Defaults to 30. |
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:param bool spectrogram: whether to plot the spectrogram. Defaults to True. |
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:param bool fullscreen: whether to plot in a fullscreen window. Defaults to False. |
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:param bool kiosk: whether to plot in kiosk mode (true fullscreen). Defaults to False. |
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:param deconv: whether to deconvolve the signal. Defaults to False. |
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:type deconv: str or bool |
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:param bool screencap: whether or not to save screenshots of events. Defaults to False. |
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:param bool alert: whether to draw the number of events at startup. Defaults to True. |
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:param queue.Queue q: queue of data and messages sent by :class:`rsudp.c_consumer.Consumer` |
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:raise ImportError: if the module cannot import either of the Matplotlib Qt5 or TkAgg backends |
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''' |
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def __init__(self, cha='all', q=False, |
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seconds=30, spectrogram=True, |
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fullscreen=False, kiosk=False, |
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deconv=False, screencap=False, |
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alert=True): |
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""" |
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Initialize the plot process. |
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""" |
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super().__init__() |
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self.sender = 'Plot' |
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self.alive = True |
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self.alarm = False # don't touch this |
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self.alarm_reset = False # don't touch this |
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if MPL == False: |
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sys.stdout.flush() |
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sys.exit() |
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if QT == False: |
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printW('Running on %s machine, using Tk instead of Qt' % (platform.machine()), self.sender) |
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if q: |
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self.queue = q |
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else: |
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printE('no queue passed to consumer! Thread will exit now!', self.sender) |
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sys.stdout.flush() |
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sys.exit() |
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self.master_queue = None # careful with this, this goes directly to the master consumer. gets set by main thread. |
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self.stream = rs.Stream() |
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self.raw = rs.Stream() |
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self.stn = rs.stn |
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self.net = rs.net |
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self.chans = [] |
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cha = rs.chns if (cha == 'all') else cha |
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cha = list(cha) if isinstance(cha, str) else cha |
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l = rs.chns |
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for c in l: |
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n = 0 |
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for uch in cha: |
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if (uch.upper() in c) and (c not in str(self.chans)): |
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self.chans.append(c) |
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n += 1 |
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if len(self.chans) < 1: |
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self.chans = rs.chns |
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printM('Plotting channels: %s' % self.chans, self.sender) |
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self.totchns = rs.numchns |
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self.seconds = seconds |
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self.pkts_in_period = rs.tr * rs.numchns * self.seconds # theoretical number of packets received in self.seconds |
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self.spectrogram = spectrogram |
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self.deconv = deconv if (deconv in rs.UNITS) else False |
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if self.deconv and rs.inv: |
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deconv = deconv.upper() |
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if self.deconv in rs.UNITS: |
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self.units = rs.UNITS[self.deconv][0] |
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self.unit = rs.UNITS[self.deconv][1] |
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printM('Signal deconvolution set to %s' % (self.deconv), self.sender) |
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else: |
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self.units = rs.UNITS['CHAN'][0] |
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self.unit = rs.UNITS['CHAN'][1] |
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self.deconv = False |
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printM('Seismogram units are %s' % (self.units), self.sender) |
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self.per_lap = 0.9 |
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self.fullscreen = fullscreen |
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self.kiosk = kiosk |
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self.num_chans = len(self.chans) |
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self.delay = rs.tr if (self.spectrogram) else 1 |
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self.delay = 0.5 if (self.chans == ['SHZ']) else self.delay |
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self.screencap = screencap |
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self.save_timer = 0 |
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self.save_pct = 0.7 |
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self.save = [] |
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self.events = 0 |
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self.event_text = ' - detected events: 0' if alert else '' |
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self.last_event = [] |
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self.last_event_str = False |
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# plot stuff |
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self.bgcolor = '#202530' # background |
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self.fgcolor = '0.8' # axis and label color |
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self.linecolor = '#c28285' # seismogram color |
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printM('Starting.', self.sender) |
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def deconvolve(self): |
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''' |
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Send the streams to the central library deconvolve function. |
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''' |
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rs.deconvolve(self) |
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def getq(self): |
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''' |
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Get data from the queue and test for whether it has certain strings. |
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ALARM and TERM both trigger specific behavior. |
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ALARM messages cause the event counter to increment, and if |
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:py:data:`screencap==True` then aplot image will be saved when the |
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event is :py:data:`self.save_pct` of the way across the plot. |
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''' |
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d = self.queue.get() |
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self.queue.task_done() |
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if 'TERM' in str(d): |
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plt.close() |
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if 'SELF' in str(d): |
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printM('Plot has been closed, plot thread will exit.', self.sender) |
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self.alive = False |
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rs.producer = False |
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elif 'ALARM' in str(d): |
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self.events += 1 # add event to count |
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self.save_timer -= 1 # don't push the save time forward if there are a large number of alarm events |
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event = [self.save_timer + int(self.save_pct*self.pkts_in_period), |
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rs.fsec(rs.get_msg_time(d))] # event = [save after count, datetime] |
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self.last_event_str = '%s UTC' % (event[1].strftime('%Y-%m-%d %H:%M:%S.%f')[:22]) |
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printM('Event time: %s' % (self.last_event_str), sender=self.sender) # show event time in the logs |
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if self.screencap: |
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printM('Saving png in about %i seconds' % (self.save_pct * (self.seconds)), self.sender) |
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self.save.append(event) # append |
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self.fig.suptitle('%s.%s live output - detected events: %s' # title |
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% (self.net, self.stn, self.events), |
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fontsize=14, color=self.fgcolor, x=0.52) |
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self.fig.canvas.set_window_title('(%s) %s.%s - Raspberry Shake Monitor' % (self.events, self.net, self.stn)) |
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if rs.getCHN(d) in self.chans: |
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self.raw = rs.update_stream( |
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stream=self.raw, d=d, fill_value='latest') |
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return True |
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else: |
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return False |
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def set_sps(self): |
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''' |
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Get samples per second from the main library. |
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''' |
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self.sps = rs.sps |
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# from https://docs.obspy.org/_modules/obspy/imaging/spectrogram.html#_nearest_pow_2: |
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def _nearest_pow_2(self, x): |
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""" |
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Find power of two nearest to x |
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>>> _nearest_pow_2(3) |
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2.0 |
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>>> _nearest_pow_2(15) |
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16.0 |
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:type x: float |
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:param x: Number |
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:rtype: Int |
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:return: Nearest power of 2 to x |
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Adapted from the `obspy <https://obspy.org>`_ library |
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""" |
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a = math.pow(2, math.ceil(np.log2(x))) |
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b = math.pow(2, math.floor(np.log2(x))) |
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if abs(a - x) < abs(b - x): |
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return a |
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else: |
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return b |
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def handle_close(self, evt): |
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''' |
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Handles a plot close event. |
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This will trigger a full shutdown of all other processes related to rsudp. |
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''' |
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self.master_queue.put(rs.msg_term()) |
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252
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def handle_resize(self, evt=False): |
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''' |
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254
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Handles a plot window resize event. |
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This will allow the plot to resize dynamically. |
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''' |
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if evt: |
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h = evt.height |
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else: |
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h = self.fig.get_size_inches()[1]*self.fig.dpi |
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plt.tight_layout(pad=0, h_pad=0.1, w_pad=0, |
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rect=[0.02, 0.01, 0.98, 0.90 + 0.045*(h/1080)]) # [left, bottom, right, top] |
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264
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def _eventsave(self): |
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''' |
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This function takes the next event in line and pops it out of the list, |
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so that it can be saved and others preserved. |
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Then, it sets the title to something having to do with the event, |
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then calls the save figure function, and finally resets the title. |
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''' |
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self.save.reverse() |
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event = self.save.pop() |
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self.save.reverse() |
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event_time_str = event[1].strftime('%Y-%m-%d-%H%M%S') # event time for filename |
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title_time_str = event[1].strftime('%Y-%m-%d %H:%M:%S.%f')[:22] # pretty event time for plot |
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# change title (just for a moment) |
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self.fig.suptitle('%s.%s detected event - %s UTC' # title |
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% (self.net, self.stn, title_time_str), |
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fontsize=14, color=self.fgcolor, x=0.52) |
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# save figure |
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self.savefig(event_time=event[1], event_time_str=event_time_str) |
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286
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# reset title |
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self._set_fig_title() |
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290
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def savefig(self, event_time=rs.UTCDateTime.now(), |
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event_time_str=rs.UTCDateTime.now().strftime('%Y-%m-%d-%H%M%S')): |
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''' |
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293
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|
|
Saves the figure and puts an IMGPATH message on the master queue. |
|
294
|
|
|
This message can be used to upload the image to various services. |
|
295
|
|
|
|
|
296
|
|
|
:param obspy.core.utcdatetime.UTCDateTime event_time: Event time as an obspy UTCDateTime object. |
|
297
|
|
|
:param str event_time_str: Event time as a string. This is used to set the filename. |
|
298
|
|
|
''' |
|
299
|
|
|
figname = os.path.join(rsudp.scap_dir, '%s-%s.png' % (self.stn, event_time_str)) |
|
300
|
|
|
elapsed = rs.UTCDateTime.now() - event_time |
|
301
|
|
|
if int(elapsed) > 0: |
|
302
|
|
|
printM('Saving png %i seconds after alarm' % (elapsed), sender=self.sender) |
|
303
|
|
|
plt.savefig(figname, facecolor=self.fig.get_facecolor(), edgecolor='none') |
|
304
|
|
|
printM('Saved %s' % (figname), sender=self.sender) |
|
305
|
|
|
printM('%s thread has saved an image, sending IMGPATH message to queues' % self.sender, sender=self.sender) |
|
306
|
|
|
# imgpath requires a UTCDateTime and a string figure path |
|
307
|
|
|
self.master_queue.put(rs.msg_imgpath(event_time, figname)) |
|
308
|
|
|
|
|
309
|
|
|
|
|
310
|
|
|
def _set_fig_title(self): |
|
311
|
|
|
''' |
|
312
|
|
|
Sets the figure title back to something that makes sense for the live viewer. |
|
313
|
|
|
''' |
|
314
|
|
|
self.fig.suptitle('%s.%s live output - detected events: %s' # title |
|
315
|
|
|
% (self.net, self.stn, self.events), |
|
316
|
|
|
fontsize=14, color=self.fgcolor, x=0.52) |
|
317
|
|
|
|
|
318
|
|
|
|
|
319
|
|
|
def _init_plot(self): |
|
320
|
|
|
''' |
|
321
|
|
|
Initialize plot elements and calculate parameters. |
|
322
|
|
|
''' |
|
323
|
|
|
self.fig = plt.figure(figsize=(11,3*self.num_chans)) |
|
324
|
|
|
self.fig.canvas.mpl_connect('close_event', self.handle_close) |
|
325
|
|
|
self.fig.canvas.mpl_connect('resize_event', self.handle_resize) |
|
326
|
|
|
|
|
327
|
|
|
if QT: |
|
328
|
|
|
self.fig.canvas.window().statusBar().setVisible(False) # remove bottom bar |
|
329
|
|
|
self.fig.canvas.set_window_title('%s.%s - Raspberry Shake Monitor' % (self.net, self.stn)) |
|
330
|
|
|
self.fig.patch.set_facecolor(self.bgcolor) # background color |
|
331
|
|
|
self.fig.suptitle('%s.%s live output%s' # title |
|
332
|
|
|
% (self.net, self.stn, self.event_text), |
|
333
|
|
|
fontsize=14, color=self.fgcolor,x=0.52) |
|
334
|
|
|
self.ax, self.lines = [], [] # list for subplot axes and lines artists |
|
335
|
|
|
self.mult = 1 # spectrogram selection multiplier |
|
336
|
|
|
if self.spectrogram: |
|
337
|
|
|
self.mult = 2 # 2 if user wants a spectrogram else 1 |
|
338
|
|
|
if self.seconds > 60: |
|
339
|
|
|
self.per_lap = 0.9 # if axis is long, spectrogram overlap can be shorter |
|
340
|
|
|
else: |
|
341
|
|
|
self.per_lap = 0.975 # if axis is short, increase resolution |
|
342
|
|
|
# set spectrogram parameters |
|
343
|
|
|
self.nfft1 = self._nearest_pow_2(self.sps) |
|
344
|
|
|
self.nlap1 = self.nfft1 * self.per_lap |
|
345
|
|
|
|
|
346
|
|
|
|
|
347
|
|
|
def _init_axes(self, i): |
|
348
|
|
|
''' |
|
349
|
|
|
Initialize plot axes. |
|
350
|
|
|
''' |
|
351
|
|
|
if i == 0: |
|
352
|
|
|
# set up first axes (axes added later will share these x axis limits) |
|
353
|
|
|
self.ax.append(self.fig.add_subplot(self.num_chans*self.mult, |
|
354
|
|
|
1, 1, label=str(1))) |
|
355
|
|
|
self.ax[0].set_facecolor(self.bgcolor) |
|
356
|
|
|
self.ax[0].tick_params(colors=self.fgcolor, labelcolor=self.fgcolor) |
|
357
|
|
|
self.ax[0].xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S')) |
|
358
|
|
|
self.ax[0].yaxis.set_major_formatter(EngFormatter(unit='%s' % self.unit.lower())) |
|
359
|
|
|
if self.spectrogram: |
|
360
|
|
|
self.ax.append(self.fig.add_subplot(self.num_chans*self.mult, |
|
361
|
|
|
1, 2, label=str(2)))#, sharex=ax[0])) |
|
362
|
|
|
self.ax[1].set_facecolor(self.bgcolor) |
|
363
|
|
|
self.ax[1].tick_params(colors=self.fgcolor, labelcolor=self.fgcolor) |
|
364
|
|
|
else: |
|
365
|
|
|
# add axes that share either lines or spectrogram axis limits |
|
366
|
|
|
s = i * self.mult # plot selector |
|
367
|
|
|
# add a subplot then set colors |
|
368
|
|
|
self.ax.append(self.fig.add_subplot(self.num_chans*self.mult, |
|
369
|
|
|
1, s+1, sharex=self.ax[0], label=str(s+1))) |
|
370
|
|
|
self.ax[s].set_facecolor(self.bgcolor) |
|
371
|
|
|
self.ax[s].tick_params(colors=self.fgcolor, labelcolor=self.fgcolor) |
|
372
|
|
|
self.ax[s].xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S')) |
|
373
|
|
|
self.ax[s].yaxis.set_major_formatter(EngFormatter(unit='%s' % self.unit.lower())) |
|
374
|
|
|
if self.spectrogram: |
|
375
|
|
|
# add a spectrogram and set colors |
|
376
|
|
|
self.ax.append(self.fig.add_subplot(self.num_chans*self.mult, |
|
377
|
|
|
1, s+2, sharex=self.ax[1], label=str(s+2))) |
|
378
|
|
|
self.ax[s+1].set_facecolor(self.bgcolor) |
|
379
|
|
|
self.ax[s+1].tick_params(colors=self.fgcolor, labelcolor=self.fgcolor) |
|
380
|
|
|
|
|
381
|
|
|
|
|
382
|
|
|
def _set_icon(self): |
|
383
|
|
|
''' |
|
384
|
|
|
Set RS plot icons. |
|
385
|
|
|
''' |
|
386
|
|
|
mgr = plt.get_current_fig_manager() |
|
387
|
|
|
ico = pr.resource_filename('rsudp', os.path.join('img', ICON)) |
|
388
|
|
|
if QT: |
|
389
|
|
|
mgr.window.setWindowIcon(QtGui.QIcon(ico)) |
|
390
|
|
|
else: |
|
391
|
|
|
try: |
|
392
|
|
|
ico = PhotoImage(file=ico) |
|
393
|
|
|
mgr.window.tk.call('wm', 'iconphoto', mgr.window._w, ico) |
|
394
|
|
|
except: |
|
395
|
|
|
printW('Failed to set PNG icon image, trying .ico instead', sender=self.sender) |
|
396
|
|
|
try: |
|
397
|
|
|
ico = pr.resource_filename('rsudp', os.path.join('img', ICON2)) |
|
398
|
|
|
ico = PhotoImage(file=ico) |
|
399
|
|
|
mgr.window.tk.call('wm', 'iconphoto', mgr.window._w, ico) |
|
400
|
|
|
except: |
|
401
|
|
|
printE('Failed to set window icon.') |
|
402
|
|
|
|
|
403
|
|
|
|
|
404
|
|
|
def _format_axes(self): |
|
405
|
|
|
''' |
|
406
|
|
|
Setting up axes and artists. |
|
407
|
|
|
''' |
|
408
|
|
|
# calculate times |
|
409
|
|
|
start = np.datetime64(self.stream[0].stats.endtime |
|
410
|
|
|
)-np.timedelta64(self.seconds, 's') # numpy time |
|
411
|
|
|
end = np.datetime64(self.stream[0].stats.endtime) # numpy time |
|
412
|
|
|
|
|
413
|
|
|
im = mpimg.imread(pr.resource_filename('rsudp', os.path.join('img', 'version1-01-small.png'))) |
|
414
|
|
|
self.imax = self.fig.add_axes([0.015, 0.944, 0.2, 0.056], anchor='NW') # [left, bottom, right, top] |
|
415
|
|
|
self.imax.imshow(im, aspect='equal', interpolation='sinc') |
|
416
|
|
|
self.imax.axis('off') |
|
417
|
|
|
# set up axes and artists |
|
418
|
|
|
for i in range(self.num_chans): # create lines objects and modify axes |
|
419
|
|
|
if len(self.stream[i].data) < int(self.sps*(1/self.per_lap)): |
|
420
|
|
|
comp = 0 # spectrogram offset compensation factor |
|
421
|
|
|
else: |
|
422
|
|
|
comp = (1/self.per_lap)**2 # spectrogram offset compensation factor |
|
423
|
|
|
r = np.arange(start, end, np.timedelta64(int(1000/self.sps), 'ms'))[-len( |
|
424
|
|
|
self.stream[i].data[int(-self.sps*(self.seconds-(comp/2))):-int(self.sps*(comp/2))]):] |
|
425
|
|
|
mean = int(round(np.mean(self.stream[i].data))) |
|
426
|
|
|
# add artist to lines list |
|
427
|
|
|
self.lines.append(self.ax[i*self.mult].plot(r, |
|
428
|
|
|
np.nan*(np.zeros(len(r))), |
|
429
|
|
|
label=self.stream[i].stats.channel, color=self.linecolor, |
|
430
|
|
|
lw=0.45)[0]) |
|
431
|
|
|
# set axis limits |
|
432
|
|
|
self.ax[i*self.mult].set_xlim(left=start.astype(datetime), |
|
433
|
|
|
right=end.astype(datetime)) |
|
434
|
|
|
self.ax[i*self.mult].set_ylim(bottom=np.min(self.stream[i].data-mean) |
|
435
|
|
|
-np.ptp(self.stream[i].data-mean)*0.1, |
|
436
|
|
|
top=np.max(self.stream[i].data-mean) |
|
437
|
|
|
+np.ptp(self.stream[i].data-mean)*0.1) |
|
438
|
|
|
# we can set line plot labels here, but not imshow labels |
|
439
|
|
|
ylabel = self.stream[i].stats.units.strip().capitalize() if (' ' in self.stream[i].stats.units) else self.stream[i].stats.units |
|
440
|
|
|
self.ax[i*self.mult].set_ylabel(ylabel, color=self.fgcolor) |
|
441
|
|
|
self.ax[i*self.mult].legend(loc='upper left') # legend and location |
|
442
|
|
|
if self.spectrogram: # if the user wants a spectrogram, plot it |
|
443
|
|
|
# add spectrogram to axes list |
|
444
|
|
|
sg = self.ax[1].specgram(self.stream[i].data, NFFT=8, pad_to=8, |
|
445
|
|
|
Fs=self.sps, noverlap=7, cmap='inferno', |
|
446
|
|
|
xextent=(self.seconds-0.5, self.seconds))[0] |
|
447
|
|
|
self.ax[1].set_xlim(0,self.seconds) |
|
448
|
|
|
self.ax[i*self.mult+1].set_ylim(0,int(self.sps/2)) |
|
449
|
|
|
self.ax[i*self.mult+1].imshow(np.flipud(sg**(1/float(10))), cmap='inferno', |
|
450
|
|
|
extent=(self.seconds-(1/(self.sps/float(len(self.stream[i].data)))), |
|
451
|
|
|
self.seconds,0,self.sps/2), aspect='auto') |
|
452
|
|
|
|
|
453
|
|
|
|
|
454
|
|
|
def _setup_fig_manager(self): |
|
455
|
|
|
''' |
|
456
|
|
|
Setting up figure manager and |
|
457
|
|
|
''' |
|
458
|
|
|
# update canvas and draw |
|
459
|
|
|
figManager = plt.get_current_fig_manager() |
|
460
|
|
|
if self.kiosk: |
|
461
|
|
|
figManager.full_screen_toggle() |
|
462
|
|
|
else: |
|
463
|
|
|
if self.fullscreen: # set fullscreen |
|
464
|
|
|
if QT: # maximizing in Qt |
|
465
|
|
|
figManager.window.showMaximized() |
|
466
|
|
|
else: # maximizing in Tk |
|
467
|
|
|
figManager.resize(*figManager.window.maxsize()) |
|
468
|
|
|
|
|
469
|
|
|
|
|
470
|
|
|
def setup_plot(self): |
|
471
|
|
|
""" |
|
472
|
|
|
Sets up the plot. Quite a lot of stuff happens in this function. |
|
473
|
|
|
Matplotlib backends are not threadsafe, so things are a little weird. |
|
474
|
|
|
See code comments for details. |
|
475
|
|
|
""" |
|
476
|
|
|
# instantiate a figure and set basic params |
|
477
|
|
|
self._init_plot() |
|
478
|
|
|
|
|
479
|
|
|
for i in range(self.num_chans): |
|
480
|
|
|
self._init_axes(i) |
|
481
|
|
|
|
|
482
|
|
|
for axis in self.ax: |
|
483
|
|
|
# set the rest of plot colors |
|
484
|
|
|
plt.setp(axis.spines.values(), color=self.fgcolor) |
|
485
|
|
|
plt.setp([axis.get_xticklines(), axis.get_yticklines()], color=self.fgcolor) |
|
486
|
|
|
|
|
487
|
|
|
# rs logos |
|
488
|
|
|
self._set_icon() |
|
489
|
|
|
|
|
490
|
|
|
# draw axes |
|
491
|
|
|
self._format_axes() |
|
492
|
|
|
|
|
493
|
|
|
self.handle_resize() |
|
494
|
|
|
|
|
495
|
|
|
# setup figure manager |
|
496
|
|
|
self._setup_fig_manager() |
|
497
|
|
|
|
|
498
|
|
|
# draw plot, loop, and resize the plot |
|
499
|
|
|
plt.draw() # draw the canvas |
|
500
|
|
|
self.fig.canvas.start_event_loop(0.005) # wait for canvas to update |
|
501
|
|
|
self.handle_resize() |
|
502
|
|
|
|
|
503
|
|
|
|
|
504
|
|
|
def _set_ch_specific_label(self, i): |
|
505
|
|
|
''' |
|
506
|
|
|
Set the formatter units if the deconvolution is channel-specific. |
|
507
|
|
|
''' |
|
508
|
|
|
if self.deconv: |
|
509
|
|
|
if (self.deconv in 'CHAN'): |
|
510
|
|
|
ch = self.stream[i].stats.channel |
|
511
|
|
|
if ('HZ' in ch) or ('HN' in ch) or ('HE' in ch): |
|
512
|
|
|
unit = rs.UNITS['VEL'][1] |
|
513
|
|
|
elif ('EN' in ch): |
|
514
|
|
|
unit = rs.UNITS['ACC'][1] |
|
515
|
|
|
else: |
|
516
|
|
|
unit = rs.UNITS['CHAN'][1] |
|
517
|
|
|
self.ax[i*self.mult].yaxis.set_major_formatter(EngFormatter(unit='%s' % unit.lower())) |
|
518
|
|
|
|
|
519
|
|
|
|
|
520
|
|
|
def _draw_lines(self, i, start, end, mean): |
|
521
|
|
|
''' |
|
522
|
|
|
Updates the line data in the plot. |
|
523
|
|
|
|
|
524
|
|
|
:param int i: the trace number |
|
525
|
|
|
:param numpy.datetime64 start: start time of the trace |
|
526
|
|
|
:param numpy.datetime64 end: end time of the trace |
|
527
|
|
|
:param float mean: the mean of data in the trace |
|
528
|
|
|
''' |
|
529
|
|
|
comp = 1/self.per_lap # spectrogram offset compensation factor |
|
530
|
|
|
r = np.arange(start, end, np.timedelta64(int(1000/self.sps), 'ms'))[-len( |
|
531
|
|
|
self.stream[i].data[int(-self.sps*(self.seconds-(comp/2))):-int(self.sps*(comp/2))]):] |
|
532
|
|
|
self.lines[i].set_ydata(self.stream[i].data[int(-self.sps*(self.seconds-(comp/2))):-int(self.sps*(comp/2))]-mean) |
|
533
|
|
|
self.lines[i].set_xdata(r) # (1/self.per_lap)/2 |
|
534
|
|
|
self.ax[i*self.mult].set_xlim(left=start.astype(datetime)+timedelta(seconds=comp*1.5), |
|
535
|
|
|
right=end.astype(datetime)) |
|
536
|
|
|
self.ax[i*self.mult].set_ylim(bottom=np.min(self.stream[i].data-mean) |
|
537
|
|
|
-np.ptp(self.stream[i].data-mean)*0.1, |
|
538
|
|
|
top=np.max(self.stream[i].data-mean) |
|
539
|
|
|
+np.ptp(self.stream[i].data-mean)*0.1) |
|
540
|
|
|
|
|
541
|
|
|
|
|
542
|
|
|
def _update_specgram(self, i, mean): |
|
543
|
|
|
''' |
|
544
|
|
|
Updates the spectrogram and its labels. |
|
545
|
|
|
|
|
546
|
|
|
:param int i: the trace number |
|
547
|
|
|
:param float mean: the mean of data in the trace |
|
548
|
|
|
''' |
|
549
|
|
|
self.nfft1 = self._nearest_pow_2(self.sps) # FFTs run much faster if the number of transforms is a power of 2 |
|
550
|
|
|
self.nlap1 = self.nfft1 * self.per_lap |
|
551
|
|
|
if len(self.stream[i].data) < self.nfft1: # when the number of data points is low, we just need to kind of fake it for a few fractions of a second |
|
552
|
|
|
self.nfft1 = 8 |
|
553
|
|
|
self.nlap1 = 6 |
|
554
|
|
|
sg = self.ax[i*self.mult+1].specgram(self.stream[i].data-mean, |
|
555
|
|
|
NFFT=self.nfft1, pad_to=int(self.nfft1*4), # previously self.sps*4), |
|
556
|
|
|
Fs=self.sps, noverlap=self.nlap1)[0] # meat & potatoes |
|
557
|
|
|
self.ax[i*self.mult+1].clear() # incredibly important, otherwise continues to draw over old images (gets exponentially slower) |
|
558
|
|
|
# cloogy way to shift the spectrogram to line up with the seismogram |
|
559
|
|
|
self.ax[i*self.mult+1].set_xlim(0.25,self.seconds-0.25) |
|
560
|
|
|
self.ax[i*self.mult+1].set_ylim(0,int(self.sps/2)) |
|
561
|
|
|
# imshow to update the spectrogram |
|
562
|
|
|
self.ax[i*self.mult+1].imshow(np.flipud(sg**(1/float(10))), cmap='inferno', |
|
563
|
|
|
extent=(self.seconds-(1/(self.sps/float(len(self.stream[i].data)))), |
|
564
|
|
|
self.seconds,0,self.sps/2), aspect='auto') |
|
565
|
|
|
# some things that unfortunately can't be in the setup function: |
|
566
|
|
|
self.ax[i*self.mult+1].tick_params(axis='x', which='both', |
|
567
|
|
|
bottom=False, top=False, labelbottom=False) |
|
568
|
|
|
self.ax[i*self.mult+1].set_ylabel('Frequency (Hz)', color=self.fgcolor) |
|
569
|
|
|
self.ax[i*self.mult+1].set_xlabel('Time (UTC)', color=self.fgcolor) |
|
570
|
|
|
|
|
571
|
|
|
|
|
572
|
|
|
def update_plot(self): |
|
573
|
|
|
''' |
|
574
|
|
|
Redraw the plot with new data. |
|
575
|
|
|
Called on every nth loop after the plot is set up, where n is |
|
576
|
|
|
the number of channels times the data packet arrival rate in Hz. |
|
577
|
|
|
This has the effect of making the plot update once per second. |
|
578
|
|
|
''' |
|
579
|
|
|
obstart = self.stream[0].stats.endtime - timedelta(seconds=self.seconds) # obspy time |
|
580
|
|
|
start = np.datetime64(self.stream[0].stats.endtime |
|
581
|
|
|
)-np.timedelta64(self.seconds, 's') # numpy time |
|
582
|
|
|
end = np.datetime64(self.stream[0].stats.endtime) # numpy time |
|
583
|
|
|
self.raw = self.raw.slice(starttime=obstart) # slice the stream to the specified length (seconds variable) |
|
584
|
|
|
self.stream = self.stream.slice(starttime=obstart) # slice the stream to the specified length (seconds variable) |
|
585
|
|
|
i = 0 |
|
586
|
|
|
for i in range(self.num_chans): # for each channel, update the plots |
|
587
|
|
|
mean = int(round(np.mean(self.stream[i].data))) |
|
588
|
|
|
self._draw_lines(i, start, end, mean) |
|
589
|
|
|
self._set_ch_specific_label(i) |
|
590
|
|
|
if self.spectrogram: |
|
591
|
|
|
self._update_specgram(i, mean) |
|
592
|
|
|
else: |
|
593
|
|
|
# also can't be in the setup function |
|
594
|
|
|
self.ax[i*self.mult].set_xlabel('Time (UTC)', color=self.fgcolor) |
|
595
|
|
|
|
|
596
|
|
|
|
|
597
|
|
|
def figloop(self): |
|
598
|
|
|
""" |
|
599
|
|
|
Let some time elapse in order for the plot canvas to draw properly. |
|
600
|
|
|
Must be separate from :py:func:`update_plot()` to avoid a broadcast error early in plotting. |
|
601
|
|
|
""" |
|
602
|
|
|
self.fig.canvas.start_event_loop(0.005) |
|
603
|
|
|
|
|
604
|
|
|
|
|
605
|
|
|
def mainloop(self, i, u): |
|
606
|
|
|
''' |
|
607
|
|
|
The main loop in the :py:func:`rsudp.c_plot.Plot.run`. |
|
608
|
|
|
|
|
609
|
|
|
:param int i: number of plot events without clearing the linecache |
|
610
|
|
|
:param int u: queue blocking counter |
|
611
|
|
|
:return: number of plot events without clearing the linecache and queue blocking counter |
|
612
|
|
|
:rtype: int, int |
|
613
|
|
|
''' |
|
614
|
|
|
if i > 10: |
|
615
|
|
|
linecache.clearcache() |
|
616
|
|
|
i = 0 |
|
617
|
|
|
else: |
|
618
|
|
|
i += 1 |
|
619
|
|
|
self.stream = rs.copy(self.stream) # essential, otherwise the stream has a memory leak |
|
620
|
|
|
self.raw = rs.copy(self.raw) # and could eventually crash the machine |
|
621
|
|
|
self.deconvolve() |
|
622
|
|
|
self.update_plot() |
|
623
|
|
|
if u >= 0: # avoiding a matplotlib broadcast error |
|
624
|
|
|
self.figloop() |
|
625
|
|
|
|
|
626
|
|
|
if self.save: |
|
627
|
|
|
# save the plot |
|
628
|
|
|
if (self.save_timer > self.save[0][0]): |
|
629
|
|
|
self._eventsave() |
|
630
|
|
|
u = 0 |
|
631
|
|
|
time.sleep(0.005) # wait a ms to see if another packet will arrive |
|
632
|
|
|
sys.stdout.flush() |
|
633
|
|
|
return i, u |
|
634
|
|
|
|
|
635
|
|
|
def qu(self, u): |
|
636
|
|
|
''' |
|
637
|
|
|
Get a queue object and increment the queue counter. |
|
638
|
|
|
This is a way to figure out how many channels have arrived in the queue. |
|
639
|
|
|
|
|
640
|
|
|
:param int u: queue blocking counter |
|
641
|
|
|
:return: queue blocking counter |
|
642
|
|
|
:rtype: int |
|
643
|
|
|
''' |
|
644
|
|
|
u += 1 if self.getq() else 0 |
|
645
|
|
|
return u |
|
646
|
|
|
|
|
647
|
|
|
|
|
648
|
|
|
def run(self): |
|
649
|
|
|
""" |
|
650
|
|
|
The heart of the plotting routine. |
|
651
|
|
|
|
|
652
|
|
|
Begins by updating the queue to populate a :py:class:`obspy.core.stream.Stream` object, then setting up the main plot. |
|
653
|
|
|
The first time through the main loop, the plot is not drawn. After that, the plot is drawn every time all channels are updated. |
|
654
|
|
|
Any plots containing a spectrogram and more than 1 channel are drawn at most every second (1000 ms). |
|
655
|
|
|
All other plots are drawn at most every quarter second (250 ms). |
|
656
|
|
|
""" |
|
657
|
|
|
self.getq() # block until data is flowing from the consumer |
|
658
|
|
|
for i in range((self.totchns)*2): # fill up a stream object |
|
659
|
|
|
self.getq() |
|
660
|
|
|
self.set_sps() |
|
661
|
|
|
self.deconvolve() |
|
662
|
|
|
self.setup_plot() |
|
663
|
|
|
|
|
664
|
|
|
n = 0 # number of iterations without plotting |
|
665
|
|
|
i = 0 # number of plot events without clearing the linecache |
|
666
|
|
|
u = -1 # number of blocked queue calls (must be -1 at startup) |
|
667
|
|
|
while True: # main loop |
|
668
|
|
|
while True: # sub loop |
|
669
|
|
|
if self.alive == False: # break if the user has closed the plot |
|
670
|
|
|
break |
|
671
|
|
|
n += 1 |
|
672
|
|
|
self.save_timer += 1 |
|
673
|
|
|
if self.queue.qsize() > 0: |
|
674
|
|
|
self.getq() |
|
675
|
|
|
time.sleep(0.009) # wait a ms to see if another packet will arrive |
|
676
|
|
|
else: |
|
677
|
|
|
u = self.qu(u) |
|
678
|
|
|
if n > (self.delay * rs.numchns): |
|
679
|
|
|
n = 0 |
|
680
|
|
|
break |
|
681
|
|
|
if self.alive == False: # break if the user has closed the plot |
|
682
|
|
|
printM('Exiting.', self.sender) |
|
683
|
|
|
break |
|
684
|
|
|
i, u = self.mainloop(i, u) |
|
685
|
|
|
return |
|
686
|
|
|
|
raspishake /
rsudp
