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nilmtools-
...
nilmtools-
Author | SHA1 | Date | |
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6090dd6112 | |||
![]() |
9c0d9ad324 | ||
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8b9c5d4898 | ||
cf2c28b0fb | |||
87a26c907b | |||
def465b57c | |||
0589b8d316 |
8
Makefile
8
Makefile
@@ -8,7 +8,10 @@ else
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@echo "Try 'make install'"
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@echo "Try 'make install'"
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endif
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endif
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test: test_trainola
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test: test_pipewatch
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test_pipewatch:
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nilmtools/pipewatch.py -t 3 "seq 10 20" "seq 20 30"
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test_trainola:
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test_trainola:
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-nilmtool -u http://bucket/nilmdb remove -s min -e max \
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-nilmtool -u http://bucket/nilmdb remove -s min -e max \
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@@ -43,7 +46,8 @@ test_prep: /tmp/raw.dat
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nilmtool create /test/sinefit float32_3
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nilmtool create /test/sinefit float32_3
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nilmtool create /test/prep float32_8
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nilmtool create /test/prep float32_8
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nilmtool insert -s '@0' -t -r 8000 /test/raw /tmp/raw.dat
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nilmtool insert -s '@0' -t -r 8000 /test/raw /tmp/raw.dat
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nilmtools/sinefit.py -a 0.5 -c 1 /test/raw /test/sinefit
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nilmtools/sinefit.py -a 0.5 -c 1 -s '@0' -e '@5000000' /test/raw /test/sinefit
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nilmtools/prep.py -c 2 /test/raw /test/sinefit /test/prep
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nilmtools/prep.py -c 2 /test/raw /test/sinefit /test/prep
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nilmtools/prep.py -c 2 /test/raw /test/sinefit /test/prep
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nilmtool extract -s min -e max /test/prep | head -20
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nilmtool extract -s min -e max /test/prep | head -20
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@@ -6,9 +6,9 @@ Prerequisites:
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# Runtime and build environments
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# Runtime and build environments
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sudo apt-get install python2.7 python2.7-dev python-setuptools
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sudo apt-get install python2.7 python2.7-dev python-setuptools
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sudo apt-get install python-numpy python-scipy
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sudo apt-get install python-numpy python-scipy python-daemon
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nilmdb (1.8.1+)
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nilmdb (1.8.5+)
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Install:
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Install:
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10
extras/sample-cron-scripts/capture.sh
Executable file
10
extras/sample-cron-scripts/capture.sh
Executable file
@@ -0,0 +1,10 @@
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#!/bin/bash
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# Start the ethstream capture using nilm-pipewatch
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# Bail out on errors
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set -e
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nilm-pipewatch --daemon --lock "/tmp/nilmdb-capture.lock" --timeout 30 \
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"ethstream -a 192.168.1.209 -n 9 -r 8000 -N" \
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"nilm-insert -m 10 -r 8000 --live /sharon/raw"
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8
extras/sample-cron-scripts/cleanup.cfg
Normal file
8
extras/sample-cron-scripts/cleanup.cfg
Normal file
@@ -0,0 +1,8 @@
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[/sharon/prep-*]
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keep = 1y
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[/sharon/raw]
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keep = 2w
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[/sharon/sinefit]
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keep = 1y
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9
extras/sample-cron-scripts/crontab
Normal file
9
extras/sample-cron-scripts/crontab
Normal file
@@ -0,0 +1,9 @@
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# Install this by running "crontab crontab" (will replace existing crontab)
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# m h dom mon dow cmd
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# Run NilmDB processing every 5 minutes
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*/5 * * * * chronic /home/nilm/data/process.sh
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# Check the capture process every minute
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*/1 * * * * chronic /home/nilm/data/capture.sh
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28
extras/sample-cron-scripts/process.sh
Executable file
28
extras/sample-cron-scripts/process.sh
Executable file
@@ -0,0 +1,28 @@
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#!/bin/bash
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# Run all necessary processing on NilmDB data.
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# Bail out on errors
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set -e
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# Ensure only one copy of this code runs at a time:
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LOCKFILE="/tmp/nilmdb-process.lock"
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exec 99>"$LOCKFILE"
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if ! flock -n -x 99 ; then
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echo "NilmDB processing already running, giving up..."
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exit 0
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fi
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trap 'rm -f "$LOCKFILE"' 0
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# sinefit on phase A voltage
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nilm-sinefit -c 5 /sharon/raw /sharon/sinefit
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# prep on A, B, C with appropriate rotations
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nilm-prep -c 1 -r 0 /sharon/raw /sharon/sinefit /sharon/prep-a
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nilm-prep -c 2 -r 120 /sharon/raw /sharon/sinefit /sharon/prep-b
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nilm-prep -c 3 -r 240 /sharon/raw /sharon/sinefit /sharon/prep-c
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# decimate raw and prep data
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nilm-decimate-auto /sharon/raw /sharon/prep*
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# run cleanup
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nilm-cleanup --yes /home/nilm/data/cleanup.cfg
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@@ -316,7 +316,8 @@ class Filter(object):
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self._client_dest.stream_update_metadata(self.dest.path, data)
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self._client_dest.stream_update_metadata(self.dest.path, data)
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# The main filter processing method.
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# The main filter processing method.
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def process_numpy(self, function, args = None, rows = 100000):
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def process_numpy(self, function, args = None, rows = 100000,
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intervals = None):
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"""Calls process_numpy_interval for each interval that currently
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"""Calls process_numpy_interval for each interval that currently
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exists in self.src, but doesn't exist in self.dest. It will
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exists in self.src, but doesn't exist in self.dest. It will
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process the data in chunks as follows:
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process the data in chunks as follows:
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@@ -325,6 +326,9 @@ class Filter(object):
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corresponding to the data. The data is converted to a Numpy
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corresponding to the data. The data is converted to a Numpy
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array in chunks of 'rows' rows at a time.
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array in chunks of 'rows' rows at a time.
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If 'intervals' is not None, process those intervals instead of
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the default list.
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'function' should be defined as:
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'function' should be defined as:
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# def function(data, interval, args, insert_func, final)
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# def function(data, interval, args, insert_func, final)
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@@ -358,7 +362,7 @@ class Filter(object):
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maxrows = rows)
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maxrows = rows)
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inserter_func = functools.partial(inserter, self.dest.path)
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inserter_func = functools.partial(inserter, self.dest.path)
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for interval in self.intervals():
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for interval in (intervals or self.intervals()):
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print "Processing", interval.human_string()
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print "Processing", interval.human_string()
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process_numpy_interval(interval, extractor_func, inserter_func,
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process_numpy_interval(interval, extractor_func, inserter_func,
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rows * 3, function, args)
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rows * 3, function, args)
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168
nilmtools/pipewatch.py
Executable file
168
nilmtools/pipewatch.py
Executable file
@@ -0,0 +1,168 @@
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#!/usr/bin/python
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import nilmdb.client
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from nilmdb.utils.printf import *
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import nilmdb.utils.lock
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import nilmtools
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import time
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import sys
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import os
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import argparse
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import subprocess
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import tempfile
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import threading
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import select
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import signal
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import Queue
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import daemon
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def parse_args(argv = None):
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parser = argparse.ArgumentParser(
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formatter_class = argparse.ArgumentDefaultsHelpFormatter,
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version = nilmtools.__version__,
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description = """\
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Pipe data from 'generator' to 'consumer'. This is intended to be
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executed frequently from cron, and will exit if another copy is
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already running. If 'generator' or 'consumer' returns an error,
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or if 'generator' stops sending data for a while, it will exit.
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Intended for use with ethstream (generator) and nilm-insert
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(consumer). Commands are executed through the shell.
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""")
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parser.add_argument("-d", "--daemon", action="store_true",
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help="Run in background")
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parser.add_argument("-l", "--lock", metavar="FILENAME", action="store",
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default=tempfile.gettempdir() +
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"/nilm-pipewatch.lock",
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help="Lock file for detecting running instance")
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parser.add_argument("-t", "--timeout", metavar="SECONDS", action="store",
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type=float, default=30,
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help="Restart if no output from " +
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"generator for this long")
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group = parser.add_argument_group("commands to execute")
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group.add_argument("generator", action="store",
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help="Data generator (e.g. \"ethstream -r 8000\")")
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group.add_argument("consumer", action="store",
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help="Data consumer (e.g. \"nilm-insert /foo/bar\")")
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args = parser.parse_args(argv)
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return args
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def reader_thread(queue, fd):
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# Read from a file descriptor, write to queue.
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try:
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while True:
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(r, w, x) = select.select([fd], [], [fd], 0.25)
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if x:
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raise Exception # generator died?
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if not r:
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# short timeout -- just try again. This is to catch the
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# fd being closed elsewhere, which is only detected
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# when select restarts.
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continue
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data = os.read(fd, 65536)
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if data == "": # generator EOF
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raise Exception
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queue.put(data)
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except Exception:
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queue.put(None)
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def watcher_thread(queue, procs):
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# Put None in the queue if either process dies
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|
while True:
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|
for p in procs:
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|
if p.poll() is not None:
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queue.put(None)
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return
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time.sleep(0.25)
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def pipewatch(args):
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# Run the processes, etc
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with open(os.devnull, "r") as devnull:
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generator = subprocess.Popen(args.generator, shell = True,
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bufsize = -1, close_fds = True,
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stdin = devnull,
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stdout = subprocess.PIPE,
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stderr = None)
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consumer = subprocess.Popen(args.consumer, shell = True,
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bufsize = -11, close_fds = True,
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stdin = subprocess.PIPE,
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stdout = None, stderr = None)
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queue = Queue.Queue(maxsize = 32)
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reader = threading.Thread(target = reader_thread,
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args = (queue, generator.stdout.fileno()))
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reader.start()
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watcher = threading.Thread(target = watcher_thread,
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args = (queue, [generator, consumer]))
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watcher.start()
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try:
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|
while True:
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|
try:
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|
data = queue.get(True, args.timeout)
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|
if data is None:
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|
break
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consumer.stdin.write(data)
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except Queue.Empty:
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# Timeout: kill the generator
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|
fprintf(sys.stderr, "pipewatch: timeout\n")
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|
generator.terminate()
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|
break
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|
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|
generator.stdout.close()
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|
consumer.stdin.close()
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|
except IOError:
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fprintf(sys.stderr, "pipewatch: I/O error\n")
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|
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|
def kill(proc):
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|
# Wait for a process to end, or kill it
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|
def poll_timeout(proc, timeout):
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|
for x in range(1+int(timeout / 0.1)):
|
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|
if proc.poll() is not None:
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|
break
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|
time.sleep(0.1)
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|
return proc.poll()
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|
try:
|
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|
if poll_timeout(proc, 0.5) is None:
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|
proc.terminate()
|
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|
if poll_timeout(proc, 0.5) is None:
|
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|
proc.kill()
|
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|
except OSError:
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|
pass
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|
return poll_timeout(proc, 0.5)
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|
|
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|
# Wait for them to die, or kill them
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gret = kill(generator)
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cret = kill(consumer)
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fprintf(sys.stderr, "pipewatch: generator returned %d, " +
|
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"consumer returned %d\n", gret, cret)
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|
if gret == 0 and cret == 0:
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|
sys.exit(0)
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|
sys.exit(1)
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|
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|
def main(argv = None):
|
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|
args = parse_args(argv)
|
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|
|
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|
lockfile = open(args.lock, "w")
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|
if not nilmdb.utils.lock.exclusive_lock(lockfile):
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|
printf("pipewatch process already running (according to %s)\n",
|
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|
args.lock)
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|
sys.exit(0)
|
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|
try:
|
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|
# Run as a daemon if requested, otherwise run directly.
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|
if args.daemon:
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|
with daemon.DaemonContext(files_preserve = [ lockfile ]):
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|
pipewatch(args)
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|
else:
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|
pipewatch(args)
|
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|
finally:
|
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|
# Clean up lockfile
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|
try:
|
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|
os.unlink(args.lock)
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|
except OSError:
|
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|
pass
|
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|
|
||||||
|
if __name__ == "__main__":
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|
main()
|
@@ -12,6 +12,7 @@ import scipy.fftpack
|
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import scipy.signal
|
import scipy.signal
|
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#from matplotlib import pyplot as p
|
#from matplotlib import pyplot as p
|
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import bisect
|
import bisect
|
||||||
|
from nilmdb.utils.interval import Interval
|
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|
|
||||||
def main(argv = None):
|
def main(argv = None):
|
||||||
# Set up argument parser
|
# Set up argument parser
|
||||||
@@ -82,9 +83,20 @@ def main(argv = None):
|
|||||||
"prep_column": args.column,
|
"prep_column": args.column,
|
||||||
"prep_rotation": repr(rotation) })
|
"prep_rotation": repr(rotation) })
|
||||||
|
|
||||||
# Run the processing function on all data
|
# Find the intersection of the usual set of intervals we'd filter,
|
||||||
|
# and the intervals actually present in sinefit data. This is
|
||||||
|
# what we will process.
|
||||||
|
filter_int = f.intervals()
|
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|
sinefit_int = ( Interval(start, end) for (start, end) in
|
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|
client_sinefit.stream_intervals(
|
||||||
|
args.sinepath, start = f.start, end = f.end) )
|
||||||
|
intervals = nilmdb.utils.interval.intersection(filter_int, sinefit_int)
|
||||||
|
|
||||||
|
# Run the process (using the helper in the filter module)
|
||||||
f.process_numpy(process, args = (client_sinefit, sinefit.path, args.column,
|
f.process_numpy(process, args = (client_sinefit, sinefit.path, args.column,
|
||||||
args.nharm, rotation, args.nshift))
|
args.nharm, rotation, args.nshift),
|
||||||
|
intervals = intervals)
|
||||||
|
|
||||||
|
|
||||||
def process(data, interval, args, insert_function, final):
|
def process(data, interval, args, insert_function, final):
|
||||||
(client, sinefit_path, column, nharm, rotation, nshift) = args
|
(client, sinefit_path, column, nharm, rotation, nshift) = args
|
||||||
|
4
setup.py
4
setup.py
@@ -61,9 +61,10 @@ setup(name='nilmtools',
|
|||||||
long_description = "NILM Database Tools",
|
long_description = "NILM Database Tools",
|
||||||
license = "Proprietary",
|
license = "Proprietary",
|
||||||
author_email = 'jim@jtan.com',
|
author_email = 'jim@jtan.com',
|
||||||
install_requires = [ 'nilmdb >= 1.8.1',
|
install_requires = [ 'nilmdb >= 1.8.5',
|
||||||
'numpy',
|
'numpy',
|
||||||
'scipy',
|
'scipy',
|
||||||
|
'python-daemon >= 1.5',
|
||||||
#'matplotlib',
|
#'matplotlib',
|
||||||
],
|
],
|
||||||
packages = [ 'nilmtools',
|
packages = [ 'nilmtools',
|
||||||
@@ -80,6 +81,7 @@ setup(name='nilmtools',
|
|||||||
'nilm-cleanup = nilmtools.cleanup:main',
|
'nilm-cleanup = nilmtools.cleanup:main',
|
||||||
'nilm-median = nilmtools.median:main',
|
'nilm-median = nilmtools.median:main',
|
||||||
'nilm-trainola = nilmtools.trainola:main',
|
'nilm-trainola = nilmtools.trainola:main',
|
||||||
|
'nilm-pipewatch = nilmtools.pipewatch:main',
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
zip_safe = False,
|
zip_safe = False,
|
||||||
|
Reference in New Issue
Block a user