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#!/usr/bin/env python
#
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, commercial or non-commercial, and by any
# means.
#
# In jurisdictions that recognize copyright laws, the author or authors
# of this software dedicate any and all copyright interest in the
# software to the public domain. We make this dedication for the benefit
# of the public at large and to the detriment of our heirs and
# successors. We intend this dedication to be an overt act of
# relinquishment in perpetuity of all present and future rights to this
# software under copyright law.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
#
import os, csv, operator, sys
from time import mktime
tool_dir = os.path.split(sys.argv[0])[0]
sys.path.append(tool_dir)
try:
from wt_nvd3_util import multiChart, parsetime
except ImportError:
print >>sys.stderr, "Could not import wt_nvd3_util.py, it should be\
in the same directory as %s" % sys.argv[0]
sys.exit(-1)
def timesort(s):
# Sort the timestr via its parsetime() value so that the year gets
# added and it properly sorts. Times are only %b %d %H:%M:%S and
# may improperly sort if the data crosses a month boundary.
t = operator.itemgetter('#time')
timestr = t(s)
return parsetime(timestr)
# Fixup the names and values in a dictionary read in from a csv file. One
# field must be "#time" - which is used to calculate the interval.
# Input is a dictionary, output is a list of dictionaries with a single entry.
def munge_dict(values_dict, abstime):
sorted_values = sorted(values_dict, key=timesort)
start_time = parsetime(sorted_values[0]['#time'])
ret = []
for v in sorted_values:
if abstime:
# Build the time series, milliseconds since the epoch
v['#time'] = int(mktime(parsetime(v['#time']).timetuple())) * 1000
else:
# Build the time series as seconds since the start of the data
v['#time'] = (parsetime(v['#time']) - start_time).seconds
next_val = {}
for title, value in v.items():
if title.find('uS') != -1:
title = title.replace('uS', 'ms')
value = float(value) / 1000
if title == 'totalsec':
value = 0
if title == 'checkpoints' and value == 'N':
value = 0
elif title.find('time') != -1:
title = 'time'
elif title.find('latency') == -1 and \
title.find('checkpoints') == -1:
title = title + ' (thousands)'
value = float(value) / 1000
next_val[title] = value
ret.append(next_val)
# After building the series, eliminate constants
d0 = ret[0]
for t0, v0 in d0.items():
skip = True
for d in ret:
v = d[t0]
if v != v0:
skip = False
break
if skip:
for dicts in ret:
del dicts[t0]
return ret
def addPlotsToChart(chart, graph_data, wtstat_chart = False):
# Extract the times - they are the same for all lines.
times = []
for v in graph_data:
times.append(v['time'])
# Add a line to the graph for each field in the CSV file in alphabetical
# order, so the key is sorted.
for field in sorted(graph_data[0].keys()):
if field == 'time':
continue
# Split the latency and non-latency measurements onto different scales
axis = "1"
if not wtstat_chart and field.find('latency') == -1:
axis="2"
ydata = []
for v in graph_data:
ydata.append(v[field])
chart.add_serie(x=times, y=ydata, name=field, type="line", yaxis=axis)
# Input parameters are a chart populated with WiredTiger statistics and
# the directory where the wtperf monitor file can be found.
def addPlotsToStatsChart(chart, dirname, abstime):
fname = os.path.join(dirname, 'monitor')
try:
with open(fname, 'rb') as csvfile:
reader = csv.DictReader(csvfile)
# Transform the data into something NVD3 can digest
graph_data = munge_dict(reader, abstime)
except IOError:
print >>sys.stderr, "Could not open wtperf monitor file."
sys.exit(-1)
addPlotsToChart(chart, graph_data, 1)
def main():
# Parse the command line
import argparse
parser = argparse.ArgumentParser(description='Create graphs from WiredTiger statistics.')
parser.add_argument('--abstime', action='store_true',
help='use absolute time on the x axis')
parser.add_argument('--output', '-o', metavar='file',
default='wtperf_stats.html', help='HTML output file')
parser.add_argument('files', metavar='file', nargs='+',
help='input monitor file generated by WiredTiger wtperf application')
args = parser.parse_args()
output_file = open(args.output, 'w')
if len(args.files) != 1:
print 'Script currently only supports a single monitor file'
exit (1)
chart_extra = {}
# Add in the x axis if the user wants time.
if args.abstime:
chart_extra['x_axis_format'] = '%H:%M:%S'
for f in args.files:
with open(f, 'rb') as csvfile:
reader = csv.DictReader(csvfile)
# Transform the data into something NVD3 can digest
graph_data = munge_dict(reader, args.abstime)
chart = multiChart(name='wtperf',
height=450 + 10*len(graph_data[0].keys()),
resize=True,
x_is_date=args.abstime,
assets_directory='http://source.wiredtiger.com/graphs/',
**chart_extra)
addPlotsToChart(chart, graph_data)
chart.buildhtml()
output_file.write(chart.htmlcontent)
output_file.close()
if __name__ == '__main__':
main()
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