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nilmtools-
...
nilmtools-
Author | SHA1 | Date | |
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a4d4bc22fc | |||
6090dd6112 | |||
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9c0d9ad324 |
7
Makefile
7
Makefile
@@ -8,7 +8,7 @@ else
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@echo "Try 'make install'"
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endif
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test: test_pipewatch
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test: test_insert
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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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@@ -27,7 +27,7 @@ test_cleanup:
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nilmtools/cleanup.py extras/cleanup.cfg
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test_insert:
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nilmtools/insert.py --file --dry-run /test/foo </dev/null
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nilmtools/insert.py --skip --file --dry-run /foo/bar ~/data/20130311T2100.prep1.gz ~/data/20130311T2100.prep1.gz ~/data/20130311T2200.prep1.gz
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test_copy:
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nilmtools/copy_wildcard.py -U "http://nilmdb.com/bucket/" -D /lees*
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@@ -46,7 +46,8 @@ test_prep: /tmp/raw.dat
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nilmtool create /test/sinefit float32_3
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nilmtool create /test/prep float32_8
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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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nilmtool extract -s min -e max /test/prep | head -20
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@@ -8,7 +8,7 @@ Prerequisites:
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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 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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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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# 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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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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@@ -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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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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# 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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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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process_numpy_interval(interval, extractor_func, inserter_func,
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rows * 3, function, args)
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@@ -53,7 +53,8 @@ def parse_args(argv = None):
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is stepped forward to match 'clock'.
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- If 'data' is running ahead, there is overlap in the data, and an
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error is raised.
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error is raised. If '--ignore' is specified, the current file
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is skipped instead of raising an error.
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"""))
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parser.add_argument("-u", "--url", action="store",
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default="http://localhost/nilmdb/",
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@@ -61,6 +62,8 @@ def parse_args(argv = None):
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group = parser.add_argument_group("Misc options")
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group.add_argument("-D", "--dry-run", action="store_true",
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help="Parse files, but don't insert any data")
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group.add_argument("-s", "--skip", action="store_true",
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help="Skip files if the data would overlap")
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group.add_argument("-m", "--max-gap", action="store", default=10.0,
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metavar="SEC", type=float,
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help="Max discrepency between clock and data "
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@@ -235,6 +238,10 @@ def main(argv = None):
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"is %s but clock time is only %s",
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timestamp_to_human(data_ts),
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timestamp_to_human(clock_ts))
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if args.skip:
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printf("%s\n", err)
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printf("Skipping the remainder of this file\n")
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break
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raise ParseError(filename, err)
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if (data_ts + max_gap) < clock_ts:
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@@ -12,6 +12,7 @@ import scipy.fftpack
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import scipy.signal
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#from matplotlib import pyplot as p
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import bisect
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from nilmdb.utils.interval import Interval
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def main(argv = None):
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# Set up argument parser
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@@ -82,9 +83,20 @@ def main(argv = None):
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"prep_column": args.column,
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"prep_rotation": repr(rotation) })
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# Run the processing function on all data
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# Find the intersection of the usual set of intervals we'd filter,
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# and the intervals actually present in sinefit data. This is
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# what we will process.
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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(
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args.sinepath, start = f.start, end = f.end) )
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intervals = nilmdb.utils.interval.intersection(filter_int, sinefit_int)
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# Run the process (using the helper in the filter module)
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f.process_numpy(process, args = (client_sinefit, sinefit.path, args.column,
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args.nharm, rotation, args.nshift))
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args.nharm, rotation, args.nshift),
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intervals = intervals)
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def process(data, interval, args, insert_function, final):
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(client, sinefit_path, column, nharm, rotation, nshift) = args
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