mirror of
https://github.com/munin-monitoring/contrib.git
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612ebf5ae9
This works around a syntax warning emitted by the continuous integration tool. This commit encloses the python part of the hybrid shell / python script within a "here" document.
349 lines
13 KiB
Bash
Executable File
349 lines
13 KiB
Bash
Executable File
#!/bin/sh
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# weird shebang? See below: "interpreter selection"
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#
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# Collect basic information about the neighbours of an OLSR node:
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# * link quality
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# * neighbour link quality
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# * number of nodes reachable behind each neighbour
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# * ping times of direct neighbours
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#
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# This plugin works with the following python interpreters:
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# * Python 2
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# * Python 3
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# * micropython
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#
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# Environment variables:
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# * OLSRD_HOST: name or IP of the host running the txtinfo plugin (default: localhost)
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# * OLSRD_TXTINFO_PORT: the port that the txtinfo plugin is listening to (default: 2006)
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# * OLSRD_BIN_PATH: name of the olsrd binary (only used for 'autoconf', defaults to /usr/sbin/olsrd)
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# * MICROPYTHON_HEAP: adjust this parameter for micropython if your olsr network contains
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# more than a few thousand nodes (default: 512k)
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#
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#
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# Copyright (C) 2015 Lars Kruse <devel@sumpfralle.de>
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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# Magic markers
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#%# capabilities=autoconf
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#%# family=auto
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"""true"
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# ****************** Interpreter Selection ***************
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# This unbelievable dirty hack allows to find a suitable python interpreter.
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# This is specifically useful for OpenWRT where typically only micropython is available.
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#
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# Additionally we need to run micropython with additional startup options.
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# This is necessary due to our demand for more than 128k heap (this default is sufficient for only 400 olsr nodes).
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#
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# This "execution hack" works as follows:
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# * the script is executed by busybox ash or another shell
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# * the above line (three quotes before and one quote after 'true') evaluates differently for shell and python:
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# * shell: run "true" (i.e. nothing happens)
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# * python: ignore everything up to the next three consecutive quotes
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# Thus we may place shell code here that will take care for selecting an interpreter.
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# prefer micropython if it is available - otherwise fall back to any python (2 or 3)
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if which micropython >/dev/null; then
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/usr/bin/micropython -X "heapsize=${MICROPYTHON_HEAP:-512k}" "$0" "$@"
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else
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python "$0" "$@"
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fi
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exit $?
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# For shell: ignore everything starting from here until the last line of this file.
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# This is necessary for syntax checkers that try to complain about invalid shell syntax below.
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true <<EOF
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"""
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plugin_version = "0.3"
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import os
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import socket
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import sys
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LQ_GRAPH_CONFIG = """
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graph_title {title}
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graph_vlabel Link Quality (-) / Neighbour Link Quality (+)
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graph_category network
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graph_info OLSR estimates the quality of a connection by the ratio of successfully received (link quality) and transmitted (neighbour link quality) hello packets.
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"""
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LQ_VALUES_CONFIG = """
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nlq{suffix}.label none
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nlq{suffix}.type GAUGE
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nlq{suffix}.graph no
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nlq{suffix}.draw {draw_type}
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nlq{suffix}.min 0
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lq{suffix}.label {label}
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lq{suffix}.type GAUGE
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lq{suffix}.draw {draw_type}
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lq{suffix}.negative nlq{suffix}
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lq{suffix}.min 0
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"""
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NEIGHBOUR_COUNT_CONFIG = """
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graph_title Reachable nodes via neighbours
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graph_vlabel Number of Nodes
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graph_category network
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graph_info Count the number of locally known routes passing through each direct neighbour. This number is a good approximation of the number of mesh nodes reachable via this specific neighbour. MIDs (alternative addresses of an OLSR node) and HNAs (host network announcements) are ignored.
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"""
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NEIGHBOUR_COUNT_VALUE = """
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neighbour_{host_fieldname}.label {host}
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neighbour_{host_fieldname}.type GAUGE
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neighbour_{host_fieldname}.draw {draw_type}
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neighbour_{host_fieldname}.min 0
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"""
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NEIGHBOUR_PING_CONFIG = """
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graph_title {title}
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graph_vlabel roundtrip time (ms)
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graph_category network
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graph_info This graph shows ping RTT statistics.
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graph_args --base 1000 --lower-limit 0
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graph_scale no
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"""
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NEIGHBOUR_PING_VALUE = """neighbour_{host_fieldname}.label {host}"""
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# micropython (as of 2015) does not contain "os.linesep"
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LINESEP = getattr(os, "linesep", "\n")
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get_clean_fieldname = lambda name: "".join([(("a" <= char.lower() <= "z") or ((index == 0) or ("0" <= char <= "9"))) and char or "_" for index, char in enumerate(name)])
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def query_olsrd_txtservice(section=""):
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host = os.getenv("OLSRD_HOST", "localhost")
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port = os.getenv("OLSRD_TXTINFO_PORT", "2006")
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conn = socket.create_connection((host, port), 1.0)
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try:
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# Python3
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request = bytes("/%s" % section, "ascii")
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except TypeError:
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# Python2
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request = bytes("/%s" % section)
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conn.sendall(request)
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fconn = conn.makefile()
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# "enumerate" is not suitable since it reads all lines at once (not a generator in micropython)
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index = 0
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for line in fconn.readlines():
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# skip the first five lines - they are headers
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if index < 5:
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index += 1
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continue
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line = line.strip()
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if line:
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yield line
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fconn.close()
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conn.close()
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def get_address_device_mapping():
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mapping = {}
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for line in query_olsrd_txtservice("mid"):
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# example line content:
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# 192.168.2.171 192.168.22.171;192.168.12.171
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device_id, mids = line.split()
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for mid in mids.split(";"):
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mapping[mid] = device_id
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return mapping
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def count_routes_by_neighbour(address_mapping, ignore_list):
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node_count = {}
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for line in query_olsrd_txtservice("routes"):
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# example line content:
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# 192.168.1.79/32 192.168.12.38 4 4.008 wlan0
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tokens = line.split()
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target = tokens[0]
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via = tokens[1]
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# we care only about single-host routes
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if target.endswith("/32"):
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if target[:-3] in address_mapping:
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# we ignore MIDs - we want only real nodes
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continue
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if target in ignore_list:
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continue
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# replace the neighbour's IP with its main IP (if it is an MID)
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via = address_mapping.get(via, via)
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# increase the counter
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node_count[via] = node_count.get(via, 0) + 1
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return node_count
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def get_olsr_links():
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mid_mapping = get_address_device_mapping()
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hna_list = [line.split()[0] for line in query_olsrd_txtservice("hna")]
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route_count = count_routes_by_neighbour(mid_mapping, hna_list)
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result = []
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for line in query_olsrd_txtservice("links"):
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tokens = line.split()
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link = {}
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link["local"] = tokens.pop(0)
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remote = tokens.pop(0)
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# replace the neighbour's IP with its main IP (if it is an MID)
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link["remote"] = mid_mapping.get(remote, remote)
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for key in ("hysterese", "lq", "nlq", "cost"):
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link[key] = float(tokens.pop(0))
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# add the route count
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link["route_count"] = route_count.get(link["remote"], 0)
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result.append(link)
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result.sort(key=lambda link: link["remote"])
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return result
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def _read_file(filename):
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try:
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return open(filename, "r").read().split(LINESEP)
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except OSError:
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return []
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def get_ping_times(hosts):
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tempfile = "/tmp/munin-olsrd-{pid}.tmp".format(pid=os.getpid())
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command = 'for host in {hosts}; do echo -n "$host "; ping -c 1 -w 1 "$host" | grep /avg/ || true; done >{tempfile}'\
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.format(hosts=" ".join(hosts), tempfile=tempfile)
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# micropython supports only "os.system" (as of 2015) - thus we need to stick with it for openwrt
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returncode = os.system(command)
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if returncode != 0:
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return {}
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lines = _read_file(tempfile)
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os.unlink(tempfile)
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# example output for one host:
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# 192.168.2.41 round-trip min/avg/max = 4.226/4.226/4.226 ms
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result = {}
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for line in lines:
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tokens = line.split(None)
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if len(tokens) > 1:
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host = tokens[0]
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avg_ping = tokens[-2].split("/")[1]
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result[host] = float(avg_ping)
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return result
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if __name__ == "__main__":
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# parse arguments
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if len(sys.argv) > 1:
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if sys.argv[1]=="config":
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links = list(get_olsr_links())
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# link quality with regard to neighbours
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print("multigraph olsr_link_quality")
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print(LQ_GRAPH_CONFIG.format(title="OLSR Link Quality"))
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is_first = True
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for link in links:
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print(LQ_VALUES_CONFIG.format(label=link["remote"],
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suffix="_{host}".format(host=get_clean_fieldname(link["remote"])),
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draw_type=("AREA" if is_first else "STACK")))
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is_first = False
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is_first = True
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for link in links:
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print("multigraph olsr_link_quality.host_{remote}".format(remote=get_clean_fieldname(link["remote"])))
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print(LQ_GRAPH_CONFIG.format(title="Link Quality towards {host}".format(host=link["remote"])))
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print(LQ_VALUES_CONFIG.format(label="Link Quality", suffix="", draw_type="AREA"))
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is_first = False
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# link count ("number of nodes behind each neighbour")
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print("multigraph olsr_neighbour_link_count")
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print(NEIGHBOUR_COUNT_CONFIG)
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is_first = True
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for link in links:
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print(NEIGHBOUR_COUNT_VALUE
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.format(host=link["remote"],
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host_fieldname=get_clean_fieldname(link["remote"]),
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draw_type=("AREA" if is_first else "STACK")))
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is_first = False
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# neighbour ping
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print("multigraph olsr_neighbour_ping")
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print(NEIGHBOUR_PING_CONFIG.format(title="Ping time of neighbours"))
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for link in links:
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print(NEIGHBOUR_PING_VALUE
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.format(host=link["remote"],
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host_fieldname=get_clean_fieldname(link["remote"])))
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# neighbour pings - single subgraphs
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for link in links:
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remote = get_clean_fieldname(link["remote"])
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print("multigraph olsr_neighbour_ping.host_{remote}".format(remote=remote))
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print(NEIGHBOUR_PING_CONFIG.format(title="Ping time of {remote}".format(remote=remote)))
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print(NEIGHBOUR_PING_VALUE.format(host=link["remote"], host_fieldname=remote))
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sys.exit(0)
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elif sys.argv[1] == "autoconf":
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if os.path.exists(os.getenv('OLSRD_BIN_PATH', '/usr/sbin/olsrd')):
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print('yes')
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else:
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print('no')
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sys.exit(0)
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elif sys.argv[1] == "version":
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print('olsrd Munin plugin, version %s' % plugin_version)
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sys.exit(0)
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elif sys.argv[1] == "":
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# ignore
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pass
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else:
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# unknown argument
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sys.stderr.write("Unknown argument{eol}".format(eol=LINESEP))
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sys.exit(1)
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# output values
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links = list(get_olsr_links())
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# overview graph for the link quality (ETX) of all neighbours
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print("multigraph olsr_link_quality")
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for link in links:
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print("lq_{remote}.value {lq:f}".format(lq=link["lq"],
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remote=get_clean_fieldname(link["remote"])))
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print("nlq_{remote}.value {nlq:f}".format(nlq=link["nlq"],
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remote=get_clean_fieldname(link["remote"])))
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# detailed ETX graph for each single neighbour link
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for link in links:
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print("multigraph olsr_link_quality.host_{remote}"
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.format(remote=get_clean_fieldname(link["remote"])))
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print("lq.value {lq:f}".format(lq=link["lq"]))
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print("nlq.value {nlq:f}".format(nlq=link["nlq"]))
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# count the links/nodes behind each neighbour node
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print("multigraph olsr_neighbour_link_count")
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for link in links:
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print("neighbour_{host_fieldname}.value {value}"
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.format(value=link["route_count"],
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host_fieldname=get_clean_fieldname(link["remote"])))
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# overview of ping roundtrip times
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print("multigraph olsr_neighbour_ping")
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ping_times = get_ping_times([link["remote"] for link in links])
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for link in links:
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ping_time = ping_times.get(link["remote"], None)
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if ping_time is not None:
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print("neighbour_{remote}.value {value:.4f}"
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.format(value=ping_time,
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remote=get_clean_fieldname(link["remote"])))
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# single detailed graphs for the ping time of each link
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for link in links:
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ping_time = ping_times.get(link["remote"], None)
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if ping_time is not None:
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remote = get_clean_fieldname(link["remote"])
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print("multigraph olsr_neighbour_ping.host_{remote}".format(remote=remote))
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print("neighbour_{remote}.value {value:.4f}".format(remote=remote, value=ping_time))
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# final marker for shell / python hybrid script (see "Interpreter Selection")
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EOF = True
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EOF
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