Merge branch 'master' of git.km3net.de:km3py/km3mon

Makefile.in

@@ -7,7 +7,7 @@ start:
 	@echo Creating tmux session...
 
 	@tmux new-session -d -s ${SESSION_NAME}  \
-	    || (echo Please run \"make stop\" to close the current session.; exit 1)
+	    || (echo Run \"make stop\" to close the current session.; exit 1)
 
 	@tmux rename-window -t ${SESSION_NAME}:1 main
 	@tmux split-window -v -t ${SESSION_NAME}:main
@@ -46,6 +46,14 @@ start:
 	    "python scripts/dom_rates.py -d ${DETECTOR_ID}" Enter
 	@tmux select-layout even-vertical
 
+	@# Trigger rates
+	@#
+	@tmux new-window -n trigger -t ${SESSION_NAME}
+	@tmux split-window -v -t ${SESSION_NAME}:trigger
+	@tmux send-keys -t ${SESSION_NAME}:trigger.1  \
+	    "python scripts/trigger_rates.py" Enter
+	@tmux select-layout even-vertical
+
 
 stop:
 	tmux kill-session -t ${SESSION_NAME}

README.md

 # km3mon
 
 Monitoring facility for the KM3NeT neutrino detector.
+
+## Usage
+
+Check out the configure options with
+    ./configure --help
+
+then configure the ``Makefile`` with
+    ./configure
+
+and run
+    make start
+
+to start the monitoring. If you want to stop it:
+    make stop
+
+easy.

configure

@@ -77,5 +77,6 @@ echo "Detector ID:        ${detector_id}"
 echo "DAQ Ligier:         ${daq_ligier_ip}:${daq_ligier_port}"
 echo "Monitoring Ligier:  ${monitoring_ligier_ip}:${monitoring_ligier_port}"
 echo "Webserver:          0.0.0.0:${webserver_port}"
+echo "TMUX session:       ${tmux_session_name}"
 echo
 echo "Configuration complete, type \"make start\" to start the monitoring in a tmux session called \"${tmux_session_name}\"."

scripts/dom_activity.py

@@ -34,11 +34,10 @@ from km3modules.plot import plot_dom_parameters
 VERSION = "1.0"
 
 km3pipe.style.use('km3pipe')
-log = kp.logger.get("DOMActivity")
-log.warn("Starting DOM Activity monitor")
 
 
 class DOMActivityPlotter(kp.Module):
+    "Creates a plot with dots for each DOM, coloured based in their activity"
     def configure(self):
         self.plots_path = self.require('plots_path')
         det_id = self.require('det_id')
@@ -47,6 +46,8 @@ class DOMActivityPlotter(kp.Module):
         self.last_activity = defaultdict(partial(deque, maxlen=4000))
         self.cuckoo = kp.time.Cuckoo(60, self.create_plot)
 
+        self.log.warning("Starting DOM Activity monitor")
+
     def process(self, blob):
         self.index += 1
         if self.index % 30:
@@ -54,7 +55,7 @@ class DOMActivityPlotter(kp.Module):
 
         tag = str(blob['CHPrefix'].tag)
 
-        if not tag == 'IO_SUM':
+        if tag != 'IO_SUM':
             return blob
 
         data = blob['CHData']
@@ -88,7 +89,7 @@ class DOMActivityPlotter(kp.Module):
             for key, delta_t in inactive_doms.items():
                 msg += "   DU{}-DOM{} for {:.1f}s\n"  \
                   .format(key[0], key[1], delta_t)
-            log.warn(msg)
+            self.log.warning(msg)
         plot_dom_parameters(delta_ts, self.detector, filename,
                             'last activity [s]',
                             "DOM Activity - via Summary Slices",

scripts/dom_rates.py

+#!/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.warning("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()

scripts/trigger_rates.py

+#!/usr/bin/env python
+# coding=utf-8
+# Filename: trigger_rates.py
+# Author: Tamas Gal <tgal@km3net.de>
+# vim: ts=4 sw=4 et
+"""
+Monitors trigger rates.
+
+Usage:
+    trigger_rates.py [options]
+    trigger_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].
+    -o PLOT_DIR     The directory to save the plot [default: www/plots].
+    -h --help       Show this screen.
+
+"""
+from __future__ import division, print_function
+
+from datetime import datetime
+from collections import defaultdict, deque, OrderedDict
+import sys
+from io import BytesIO
+from os.path import join
+import shutil
+import time
+import threading
+
+import matplotlib.pyplot as plt
+import matplotlib.dates as md
+
+import km3pipe as kp
+from km3pipe.config import Config
+from km3pipe.io.daq import (DAQPreamble, DAQEvent,
+                            is_3dshower, is_3dmuon, is_mxshower)
+import km3pipe.style
+
+
+VERSION = "1.0"
+km3pipe.style.use('km3pipe')
+
+
+class TriggerRate(kp.Module):
+    def configure(self):
+        self.plots_path = self.require('plots_path')
+        self.interval = self.get("interval",
+                                 default=self.trigger_rate_sampling_period())
+        self.filename = self.get("filename", default="trigger_rates")
+        self.with_minor_ticks = self.get("with_minor_ticks", default=False)
+        print("Update interval: {}s".format(self.interval))
+        self.trigger_counts = defaultdict(int)
+        self.trigger_rates = OrderedDict()
+
+        self.styles = {
+            "xfmt": md.DateFormatter('%Y-%m-%d %H:%M'),
+            "general": dict(markersize=6,  linestyle='None'),
+            "Overall": dict(marker='D',
+                            markerfacecolor='None',
+                            markeredgecolor='tomato',
+                            markeredgewidth=1),
+            "3DMuon": dict(marker='X', markerfacecolor='dodgerblue'),
+            "MXShower": dict(marker='v', markerfacecolor='orange'),
+            "3DShower": dict(marker='^', markerfacecolor='olivedrab'),
+        }
+
+        queue_len = int(60*24/(self.interval/60))
+        for trigger in ["Overall", "3DMuon", "MXShower", "3DShower"]:
+            self.trigger_rates[trigger] = deque(maxlen=queue_len)
+
+        self.run = True
+        self.thread = threading.Thread(target=self.plot).start()
+        self.lock = threading.Lock()
+
+    def process(self, blob):
+        if not str(blob['CHPrefix'].tag) == 'IO_EVT':
+            return blob
+        sys.stdout.write('.')
+        sys.stdout.flush()
+
+        data = blob['CHData']
+        data_io = BytesIO(data)
+        preamble = DAQPreamble(file_obj=data_io)  # noqa
+        event = DAQEvent(file_obj=data_io)
+        tm = event.trigger_mask
+        with self.lock:
+            self.trigger_counts["Overall"] += 1
+            self.trigger_counts["3DShower"] += is_3dshower(tm)
+            self.trigger_counts["MXShower"] += is_mxshower(tm)
+            self.trigger_counts["3DMuon"] += is_3dmuon(tm)
+
+        print(self.trigger_counts)
+
+        return blob
+
+    def plot(self):
+        while self.run:
+            time.sleep(self.interval)
+            self.create_plot()
+
+    def create_plot(self):
+        print('\n' + self.__class__.__name__ + ": updating plot.")
+
+        timestamp = datetime.utcnow()
+
+        with self.lock:
+            for trigger, n_events in self.trigger_counts.items():
+                trigger_rate = n_events / self.interval
+                self.trigger_rates[trigger].append((timestamp, trigger_rate))
+            self.trigger_counts = defaultdict(int)
+
+        fig, ax = plt.subplots(figsize=(16, 4))
+
+        for trigger, rates in self.trigger_rates.items():
+            timestamps, trigger_rates = zip(*rates)
+            ax.plot(timestamps, trigger_rates,
+                    **self.styles[trigger],
+                    **self.styles['general'],
+                    label=trigger)
+        ax.set_title("Trigger Rates\n{0} UTC"
+                     .format(datetime.utcnow().strftime("%c")))
+        ax.set_xlabel("time")
+        ax.set_ylabel("trigger rate [Hz]")
+        ax.xaxis.set_major_formatter(self.styles["xfmt"])
+        ax.grid(True, which='minor')
+        if self.with_minor_ticks:
+            ax.minorticks_on()
+        plt.legend()
+
+        fig.tight_layout()
+
+        filename = join(self.plots_path, self.filename + '_lin.png')
+        filename_tmp = join(self.plots_path, self.filename + '_lin_tmp.png')
+        plt.savefig(filename_tmp, dpi=120, bbox_inches="tight")
+        shutil.move(filename_tmp, filename)
+
+        try:
+            ax.set_yscale('log')
+        except ValueError:
+            pass
+
+        filename = join(self.plots_path, self.filename + '.png')
+        filename_tmp = join(self.plots_path, self.filename + '_tmp.png')
+        plt.savefig(filename_tmp, dpi=120, bbox_inches="tight")
+        shutil.move(filename_tmp, filename)
+
+        plt.close('all')
+        print("Plot updated at '{}'.".format(filename))
+
+    def trigger_rate_sampling_period(self):
+        try:
+            return int(Config().get("Monitoring",
+                                    "trigger_rate_sampling_period"))
+        except (TypeError, ValueError):
+            return 180
+
+    def finish(self):
+        self.run = False
+        if self.thread is not None:
+            self.thread.stop()
+
+
+def main():
+    from docopt import docopt
+    args = docopt(__doc__, version=VERSION)
+
+    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_EVT',
+                timeout=60*60*24*7,
+                max_queue=200000)
+    pipe.attach(TriggerRate, interval=300, plots_path=plots_path)
+    pipe.drain()
+
+
+if __name__ == '__main__':
+    main()

www/css/bootstrap-theme.min.css.map

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\ No newline at end of file

www/css/main.css

+/* Move down content because we have a fixed navbar that is 50px tall */
+body {
+    padding-top: 50px;
+    padding-bottom: 20px;
+}
+img.plot {
+    width: 100%;
+}
+.plot-container {
+    text-align: center;
+}
+.ruler {
+    background-color: steelblue;
+    position: absolute;
+}
+#horizontal{
+    margin-top: 50px;
+    width:98%;
+    height:4px;
+    opacity: 0.5;
+    display: none;
+}
+#vertical{
+    width:1px;
+    height:100%;
+    display: none;
+}