')
print ''
def output_xhtml(lines, oldest_revision, newest_revision, ignored_revision_data_points,
regressions, requested_width, requested_height, title):
"""Outputs an svg/xhtml view of the data."""
print ''
print ''
print ''
print '
' % qe(title)
print ''
print ''
output_svg(lines, regressions, requested_width, requested_height)
#output the manipulation controls
print """
"""
all_settings = {}
variant_settings = set()
for label in lines.keys():
for key, value in label.settings.items():
if key not in all_settings:
all_settings[key] = value
elif all_settings[key] != value:
variant_settings.add(key)
print '
"""
def compute_size(requested_width, requested_height, rev_width, time_height):
"""Converts potentially empty requested size into a concrete size.
(Number?, Number?) -> (Number, Number)"""
pic_width = 0
pic_height = 0
if (requested_width is not None and requested_height is not None):
pic_height = requested_height
pic_width = requested_width
elif (requested_width is not None):
pic_width = requested_width
pic_height = pic_width * (float(time_height) / rev_width)
elif (requested_height is not None):
pic_height = requested_height
pic_width = pic_height * (float(rev_width) / time_height)
else:
pic_height = 800
pic_width = max(rev_width*3
, pic_height * (float(rev_width) / time_height))
return (pic_width, pic_height)
def output_svg(lines, regressions, requested_width, requested_height):
"""Outputs an svg view of the data."""
(global_min_x, _), (global_max_x, global_max_y) = bounds(lines)
max_up_slope, min_down_slope = bounds_slope(regressions)
#output
global_min_y = 0
x = global_min_x
y = global_min_y
w = global_max_x - global_min_x
h = global_max_y - global_min_y
font_size = 16
line_width = 2
pic_width, pic_height = compute_size(requested_width, requested_height
, w, h)
def cw(w1):
"""Converts a revision difference to display width."""
return (pic_width / float(w)) * w1
def cx(x):
"""Converts a revision to a horizontal display position."""
return cw(x - global_min_x)
def ch(h1):
"""Converts a time difference to a display height."""
return -(pic_height / float(h)) * h1
def cy(y):
"""Converts a time to a vertical display position."""
return pic_height + ch(y - global_min_y)
print '' % (
pic_height, h)
print '
'
print """
"""
#output the revisions
print """
"""
def print_rect(x, y, w, h, revision):
"""Outputs a revision rectangle in display space,
taking arguments in revision space."""
disp_y = cy(y)
disp_h = ch(h)
if disp_h < 0:
disp_y += disp_h
disp_h = -disp_h
print ''
xes = set()
for line in lines.itervalues():
for point in line:
xes.add(point[0])
revisions = list(xes)
revisions.sort()
left = x
current_revision = revisions[0]
for next_revision in revisions[1:]:
width = (((next_revision - current_revision) / 2.0)
+ (current_revision - left))
print_rect(left, y, width, h, current_revision)
left += width
current_revision = next_revision
print_rect(left, y, x+w - left, h, current_revision)
#output the lines
print """
"""
for label, line in lines.items():
print '' % qa(label)
r = 128
g = 128
b = 128
a = .10
if label in regressions:
regression = regressions[label]
min_slope = regression.find_min_slope()
if min_slope < 0:
d = max(0, (min_slope / min_down_slope))
g += int(d*128)
a += d*0.9
elif min_slope > 0:
d = max(0, (min_slope / max_up_slope))
r += int(d*128)
a += d*0.9
slope = regression.slope
intercept = regression.intercept
min_x = regression.min_x
max_x = regression.max_x
print ''
print ''
print ''
#output the labels
print ' ' % qa(font_size)
print ''
print ' '
print ''
if __name__ == "__main__":
main()
'''
Created on May 16, 2011
@author: bungeman
'''
import sys
import getopt
import re
import os
import bench_util
import json
import xml.sax.saxutils
# We throw out any measurement outside this range, and log a warning.
MIN_REASONABLE_TIME = 0
MAX_REASONABLE_TIME = 99999
# Constants for prefixes in output title used in buildbot.
TITLE_PREAMBLE = 'Bench_Performance_for_Skia_'
TITLE_PREAMBLE_LENGTH = len(TITLE_PREAMBLE)
def usage():
"""Prints simple usage information."""
print '-b <bench> the bench to show.'
print '-c <config> the config to show (GPU, 8888, 565, etc).'
print '-d <dir> a directory containing bench_r<revision>_<scalar> files.'
print '-e <file> file containing expected bench values/ranges.'
print ' Will raise exception if actual bench values are out of range.'
print ' See bench_expectations.txt for data format and examples.'
print '-f <revision>[:<revision>] the revisions to use for fitting.'
print ' Negative <revision> is taken as offset from most recent revision.'
print '-i <time> the time to ignore (w, c, g, etc).'
print ' The flag is ignored when -t is set; otherwise we plot all the'
print ' times except the one specified here.'
print '-l <title> title to use for the output graph'
print '-m <representation> representation of bench value.'
print ' See _ListAlgorithm class in bench_util.py.'
print '-o <path> path to which to write output; writes to stdout if not specified'
print '-r <revision>[:<revision>] the revisions to show.'
print ' Negative <revision> is taken as offset from most recent revision.'
print '-s <setting>[=<value>] a setting to show (alpha, scalar, etc).'
print '-t <time> the time to show (w, c, g, etc).'
print '-x <int> the desired width of the svg.'
print '-y <int> the desired height of the svg.'
print '--default-setting <setting>[=<value>] setting for those without.'
class Label:
"""The information in a label.
(str, str, str, str, {str:str})"""
def __init__(self, bench, config, time_type, settings):
self.bench = bench
self.config = config
self.time_type = time_type
self.settings = settings
def __repr__(self):
return "Label(%s, %s, %s, %s)" % (
str(self.bench),
str(self.config),
str(self.time_type),
str(self.settings),
)
def __str__(self):
return "%s_%s_%s_%s" % (
str(self.bench),
str(self.config),
str(self.time_type),
str(self.settings),
)
def __eq__(self, other):
return (self.bench == other.bench and
self.config == other.config and
self.time_type == other.time_type and
self.settings == other.settings)
def __hash__(self):
return (hash(self.bench) ^
hash(self.config) ^
hash(self.time_type) ^
hash(frozenset(self.settings.iteritems())))
def get_latest_revision(directory):
"""Returns the latest revision number found within this directory.
"""
latest_revision_found = -1
for bench_file in os.listdir(directory):
file_name_match = re.match('bench_r(\d+)_(\S+)', bench_file)
if (file_name_match is None):
continue
revision = int(file_name_match.group(1))
if revision > latest_revision_found:
latest_revision_found = revision
if latest_revision_found < 0:
return None
else:
return latest_revision_found
def parse_dir(directory, default_settings, oldest_revision, newest_revision,
rep):
"""Parses bench data from files like bench_r<revision>_<scalar>.
(str, {str, str}, Number, Number) -> {int:[BenchDataPoints]}"""
revision_data_points = {} # {revision : [BenchDataPoints]}
for bench_file in os.listdir(directory):
file_name_match = re.match('bench_r(\d+)_(\S+)', bench_file)
if (file_name_match is None):
continue
revision = int(file_name_match.group(1))
scalar_type = file_name_match.group(2)
if (revision < oldest_revision or revision > newest_revision):
continue
file_handle = open(directory + '/' + bench_file, 'r')
if (revision not in revision_data_points):
revision_data_points[revision] = []
default_settings['scalar'] = scalar_type
revision_data_points[revision].extend(
bench_util.parse(default_settings, file_handle, rep))
file_handle.close()
return revision_data_points
def add_to_revision_data_points(new_point, revision, revision_data_points):
"""Add new_point to set of revision_data_points we are building up.
"""
if (revision not in revision_data_points):
revision_data_points[revision] = []
revision_data_points[revision].append(new_point)
def filter_data_points(unfiltered_revision_data_points):
"""Filter out any data points that are utterly bogus.
Returns (allowed_revision_data_points, ignored_revision_data_points):
allowed_revision_data_points: points that survived the filter
ignored_revision_data_points: points that did NOT survive the filter
"""
allowed_revision_data_points = {} # {revision : [BenchDataPoints]}
ignored_revision_data_points = {} # {revision : [BenchDataPoints]}
revisions = unfiltered_revision_data_points.keys()
revisions.sort()
for revision in revisions:
for point in unfiltered_revision_data_points[revision]:
if point.time < MIN_REASONABLE_TIME or point.time > MAX_REASONABLE_TIME:
add_to_revision_data_points(point, revision, ignored_revision_data_points)
else:
add_to_revision_data_points(point, revision, allowed_revision_data_points)
return (allowed_revision_data_points, ignored_revision_data_points)
def get_abs_path(relative_path):
"""My own implementation of os.path.abspath() that better handles paths
which approach Window's 260-character limit.
See https://code.google.com/p/skia/issues/detail?id=674
This implementation adds path components one at a time, resolving the
absolute path each time, to take advantage of any chdirs into outer
directories that will shorten the total path length.
TODO: share a single implementation with upload_to_bucket.py, instead
of pasting this same code into both files."""
if os.path.isabs(relative_path):
return relative_path
path_parts = relative_path.split(os.sep)
abs_path = os.path.abspath('.')
for path_part in path_parts:
abs_path = os.path.abspath(os.path.join(abs_path, path_part))
return abs_path
def redirect_stdout(output_path):
"""Redirect all following stdout to a file.
You may be asking yourself, why redirect stdout within Python rather than
redirecting the script's output in the calling shell?
The answer lies in https://code.google.com/p/skia/issues/detail?id=674
('buildbot: windows GenerateBenchGraphs step fails due to filename length'):
On Windows, we need to generate the absolute path within Python to avoid
the operating system's 260-character pathname limit, including chdirs."""
abs_path = get_abs_path(output_path)
sys.stdout = open(abs_path, 'w')
def create_lines(revision_data_points, settings
, bench_of_interest, config_of_interest, time_of_interest
, time_to_ignore):
"""Convert revision data into sorted line data.
({int:[BenchDataPoints]}, {str:str}, str?, str?, str?)
-> {Label:[(x,y)] | [n].x <= [n+1].x}"""
revisions = revision_data_points.keys()
revisions.sort()
lines = {} # {Label:[(x,y)] | x[n] <= x[n+1]}
for revision in revisions:
for point in revision_data_points[revision]:
if (bench_of_interest is not None and
not bench_of_interest == point.bench):
continue
if (config_of_interest is not None and
not config_of_interest == point.config):
continue
if (time_of_interest is not None and
not time_of_interest == point.time_type):
continue
elif (time_to_ignore is not None and
time_to_ignore == point.time_type):
continue
skip = False
for key, value in settings.items():
if key in point.settings and point.settings[key] != value:
skip = True
break
if skip:
continue
line_name = Label(point.bench
, point.config
, point.time_type
, point.settings)
if line_name not in lines:
lines[line_name] = []
lines[line_name].append((revision, point.time))
return lines
def bounds(lines):
"""Finds the bounding rectangle for the lines.
{Label:[(x,y)]} -> ((min_x, min_y),(max_x,max_y))"""
min_x = bench_util.Max
min_y = bench_util.Max
max_x = bench_util.Min
max_y = bench_util.Min
for line in lines.itervalues():
for x, y in line:
min_x = min(min_x, x)
min_y = min(min_y, y)
max_x = max(max_x, x)
max_y = max(max_y, y)
return ((min_x, min_y), (max_x, max_y))
def create_regressions(lines, start_x, end_x):
"""Creates regression data from line segments.
({Label:[(x,y)] | [n].x <= [n+1].x}, Number, Number)
-> {Label:LinearRegression}"""
regressions = {} # {Label : LinearRegression}
for label, line in lines.iteritems():
regression_line = [p for p in line if start_x <= p[0] <= end_x]
if (len(regression_line) < 2):
continue
regression = bench_util.LinearRegression(regression_line)
regressions[label] = regression
return regressions
def bounds_slope(regressions):
"""Finds the extreme up and down slopes of a set of linear regressions.
({Label:LinearRegression}) -> (max_up_slope, min_down_slope)"""
max_up_slope = 0
min_down_slope = 0
for regression in regressions.itervalues():
min_slope = regression.find_min_slope()
max_up_slope = max(max_up_slope, min_slope)
min_down_slope = min(min_down_slope, min_slope)
return (max_up_slope, min_down_slope)
def main():
"""Parses command line and writes output."""
try:
opts, _ = getopt.getopt(sys.argv[1:]
, "b:c:d:e:f:i:l:m:o:r:s:t:x:y:"
, "default-setting=")
except getopt.GetoptError, err:
print str(err)
usage()
sys.exit(2)
directory = None
config_of_interest = None
bench_of_interest = None
time_of_interest = None
time_to_ignore = None
bench_expectations = {}
rep = None # bench representation algorithm
revision_range = '0:'
regression_range = '0:'
latest_revision = None
requested_height = None
requested_width = None
title = 'Bench graph'
settings = {}
default_settings = {}
def parse_range(range):
"""Takes '<old>[:<new>]' as a string and returns (old, new).
Any revision numbers that are dependent on the latest revision number
will be filled in based on latest_revision.
"""
old, _, new = range.partition(":")
old = int(old)
if old < 0:
old += latest_revision;
if not new:
new = latest_revision;
new = int(new)
if new < 0:
new += latest_revision;
return (old, new)
def add_setting(settings, setting):
"""Takes <key>[=<value>] adds {key:value} or {key:True} to settings."""
name, _, value = setting.partition('=')
if not value:
settings[name] = True
else:
settings[name] = value
def read_expectations(expectations, filename):
"""Reads expectations data from file and put in expectations dict."""
for expectation in open(filename).readlines():
elements = expectation.strip().split(',')
if not elements[0] or elements[0].startswith('#'):
continue
if len(elements) != 5:
raise Exception("Invalid expectation line format: %s" %
expectation)
bench_entry = elements[0] + ',' + elements[1]
if bench_entry in expectations:
raise Exception("Dup entries for bench expectation %s" %
bench_entry)
# [<Bench_BmpConfig_TimeType>,<Platform-Alg>] -> (LB, UB)
expectations[bench_entry] = (float(elements[-2]),
float(elements[-1]))
def check_expectations(lines, expectations, newest_revision, key_suffix):
"""Check if there are benches in latest rev outside expected range."""
exceptions = []
for line in lines:
line_str = str(line)
bench_platform_key = (line_str[ : line_str.find('_{')] + ',' +
key_suffix)
this_revision, this_bench_value = lines[line][-1]
if (this_revision != newest_revision or
bench_platform_key not in expectations):
# Skip benches without value for latest revision.
continue
this_min, this_max = expectations[bench_platform_key]
if this_bench_value < this_min or this_bench_value > this_max:
exceptions.append('Bench %s value %s out of range [%s, %s].' %
(bench_platform_key, this_bench_value, this_min, this_max))
if exceptions:
raise Exception('Bench values out of range:\n' +
'\n'.join(exceptions))
try:
for option, value in opts:
if option == "-b":
bench_of_interest = value
elif option == "-c":
config_of_interest = value
elif option == "-d":
directory = value
elif option == "-e":
read_expectations(bench_expectations, value)
elif option == "-f":
regression_range = value
elif option == "-i":
time_to_ignore = value
elif option == "-l":
title = value
elif option == "-m":
rep = value
elif option == "-o":
redirect_stdout(value)
elif option == "-r":
revision_range = value
elif option == "-s":
add_setting(settings, value)
elif option == "-t":
time_of_interest = value
elif option == "-x":
requested_width = int(value)
elif option == "-y":
requested_height = int(value)
elif option == "--default-setting":
add_setting(default_settings, value)
else:
usage()
assert False, "unhandled option"
except ValueError:
usage()
sys.exit(2)
if directory is None:
usage()
sys.exit(2)
if time_of_interest:
time_to_ignore = None
# The title flag (-l) provided in buildbot slave is in the format
# Bench_Performance_for_Skia_<platform>, and we want to extract <platform>
# for use in platform_and_alg to track matching benches later. If title flag
# is not in this format, there may be no matching benches in the file
# provided by the expectation_file flag (-e).
platform_and_alg = title
if platform_and_alg.startswith(TITLE_PREAMBLE):
platform_and_alg = (
platform_and_alg[TITLE_PREAMBLE_LENGTH:] + '-' + rep)
title += ' [representation: %s]' % rep
latest_revision = get_latest_revision(directory)
oldest_revision, newest_revision = parse_range(revision_range)
oldest_regression, newest_regression = parse_range(regression_range)
unfiltered_revision_data_points = parse_dir(directory
, default_settings
, oldest_revision
, newest_revision
, rep)
# Filter out any data points that are utterly bogus... make sure to report
# that we did so later!
(allowed_revision_data_points, ignored_revision_data_points) = filter_data_points(
unfiltered_revision_data_points)
# Update oldest_revision and newest_revision based on the data we could find
all_revision_numbers = allowed_revision_data_points.keys()
oldest_revision = min(all_revision_numbers)
newest_revision = max(all_revision_numbers)
lines = create_lines(allowed_revision_data_points
, settings
, bench_of_interest
, config_of_interest
, time_of_interest
, time_to_ignore)
regressions = create_regressions(lines
, oldest_regression
, newest_regression)
output_xhtml(lines, oldest_revision, newest_revision, ignored_revision_data_points,
regressions, requested_width, requested_height, title)
check_expectations(lines, bench_expectations, newest_revision,
platform_and_alg)
def qa(out):
"""Stringify input and quote as an xml attribute."""
return xml.sax.saxutils.quoteattr(str(out))
def qe(out):
"""Stringify input and escape as xml data."""
return xml.sax.saxutils.escape(str(out))
def create_select(qualifier, lines, select_id=None):
"""Output select with options showing lines which qualifier maps to it.
((Label) -> str, {Label:_}, str?) -> _"""
options = {} #{ option : [Label]}
for label in lines.keys():
option = qualifier(label)
if (option not in options):
options[option] = []
options[option].append(label)
option_list = list(options.keys())
option_list.sort()
print '<select class="lines"',
if select_id is not None:
print 'id=%s' % qa(select_id)
print 'multiple="true" size="10" onchange="updateSvg();">'
for option in option_list:
print '<option value=' + qa('[' +
reduce(lambda x,y:x+json.dumps(str(y))+',',options[option],"")[0:-1]
+ ']') + '>'+qe(option)+'</option>'
print '</select>'
def output_ignored_data_points_warning(ignored_revision_data_points):
"""Write description of ignored_revision_data_points to stdout as xhtml.
"""
num_ignored_points = 0
description = ''
revisions = ignored_revision_data_points.keys()
if revisions:
revisions.sort()
revisions.reverse()
for revision in revisions:
num_ignored_points += len(ignored_revision_data_points[revision])
points_at_this_revision = []
for point in ignored_revision_data_points[revision]:
points_at_this_revision.append(point.bench)
points_at_this_revision.sort()
description += 'r%d: %s\n' % (revision, points_at_this_revision)
if num_ignored_points == 0:
print 'Did not discard any data points; all were within the range [%d-%d]' % (
MIN_REASONABLE_TIME, MAX_REASONABLE_TIME)
else:
print '<table width="100%" bgcolor="ff0000"><tr><td align="center">'
print 'Discarded %d data points outside of range [%d-%d]' % (
num_ignored_points, MIN_REASONABLE_TIME, MAX_REASONABLE_TIME)
print '</td></tr><tr><td width="100%" align="center">'
print ('<textarea rows="4" style="width:97%" readonly="true" wrap="off">'
+ qe(description) + '</textarea>')
print '</td></tr></table>'
def output_xhtml(lines, oldest_revision, newest_revision, ignored_revision_data_points,
regressions, requested_width, requested_height, title):
"""Outputs an svg/xhtml view of the data."""
print '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"',
print '"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">'
print '<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">'
print '<head>'
print '<title>%s</title>' % qe(title)
print '</head>'
print '<body>'
output_svg(lines, regressions, requested_width, requested_height)
#output the manipulation controls
print """
<script type="text/javascript">//<![CDATA[
function getElementsByClass(node, searchClass, tag) {
var classElements = new Array();
var elements = node.getElementsByTagName(tag);
var pattern = new RegExp("^|\\s"+searchClass+"\\s|$");
for (var i = 0, elementsFound = 0; i < elements.length; ++i) {
if (pattern.test(elements[i].className)) {
classElements[elementsFound] = elements[i];
++elementsFound;
}
}
return classElements;
}
function getAllLines() {
var selectElem = document.getElementById('benchSelect');
var linesObj = {};
for (var i = 0; i < selectElem.options.length; ++i) {
var lines = JSON.parse(selectElem.options[i].value);
for (var j = 0; j < lines.length; ++j) {
linesObj[lines[j]] = true;
}
}
return linesObj;
}
function getOptions(selectElem) {
var linesSelectedObj = {};
for (var i = 0; i < selectElem.options.length; ++i) {
if (!selectElem.options[i].selected) continue;
var linesSelected = JSON.parse(selectElem.options[i].value);
for (var j = 0; j < linesSelected.length; ++j) {
linesSelectedObj[linesSelected[j]] = true;
}
}
return linesSelectedObj;
}
function objectEmpty(obj) {
for (var p in obj) {
return false;
}
return true;
}
function markSelectedLines(selectElem, allLines) {
var linesSelected = getOptions(selectElem);
if (!objectEmpty(linesSelected)) {
for (var line in allLines) {
allLines[line] &= (linesSelected[line] == true);
}
}
}
function updateSvg() {
var allLines = getAllLines();
var selects = getElementsByClass(document, 'lines', 'select');
for (var i = 0; i < selects.length; ++i) {
markSelectedLines(selects[i], allLines);
}
for (var line in allLines) {
var svgLine = document.getElementById(line);
var display = (allLines[line] ? 'inline' : 'none');
svgLine.setAttributeNS(null,'display', display);
}
}
function mark(markerId) {
for (var line in getAllLines()) {
var svgLineGroup = document.getElementById(line);
var display = svgLineGroup.getAttributeNS(null,'display');
if (display == null || display == "" || display != "none") {
var svgLine = document.getElementById(line+'_line');
if (markerId == null) {
svgLine.removeAttributeNS(null,'marker-mid');
} else {
svgLine.setAttributeNS(null,'marker-mid', markerId);
}
}
}
}
//]]></script>"""
all_settings = {}
variant_settings = set()
for label in lines.keys():
for key, value in label.settings.items():
if key not in all_settings:
all_settings[key] = value
elif all_settings[key] != value:
variant_settings.add(key)
print '<table border="0" width="%s">' % requested_width
#output column headers
print """
<tr valign="top"><td width="50%">
<table border="0" width="100%">
<tr><td align="center"><table border="0">
<form>
<tr valign="bottom" align="center">
<td width="1">Bench Type</td>
<td width="1">Bitmap Config</td>
<td width="1">Timer Type (Cpu/Gpu/wall)</td>
"""
for k in variant_settings:
print '<td width="1">%s</td>' % qe(k)
print '<td width="1"><!--buttons--></td></tr>'
#output column contents
print '<tr valign="top" align="center">'
print '<td width="1">'
create_select(lambda l: l.bench, lines, 'benchSelect')
print '</td><td width="1">'
create_select(lambda l: l.config, lines)
print '</td><td width="1">'
create_select(lambda l: l.time_type, lines)
for k in variant_settings:
print '</td><td width="1">'
create_select(lambda l: l.settings.get(k, " "), lines)
print '</td><td width="1"><button type="button"',
print 'onclick=%s' % qa("mark('url(#circleMark)'); return false;"),
print '>Mark Points</button>'
print '<button type="button" onclick="mark(null);">Clear Points</button>'
print '</td>'
print """
</tr>
</form>
</table></td></tr>
<tr><td align="center">
<hr />
"""
output_ignored_data_points_warning(ignored_revision_data_points)
print '</td></tr></table>'
print '</td><td width="2%"><!--gutter--></td>'
print '<td><table border="0">'
print '<tr><td align="center">%s<br></br>revisions r%s - r%s</td></tr>' % (
qe(title),
bench_util.CreateRevisionLink(oldest_revision),
bench_util.CreateRevisionLink(newest_revision))
print """
<tr><td align="left">
<p>Brighter red indicates tests that have gotten worse; brighter green
indicates tests that have gotten better.</p>
<p>To highlight individual tests, hold down CONTROL and mouse over
graph lines.</p>
<p>To highlight revision numbers, hold down SHIFT and mouse over
the graph area.</p>
<p>To only show certain tests on the graph, select any combination of
tests in the selectors at left. (To show all, select all.)</p>
<p>Use buttons at left to mark/clear points on the lines for selected
benchmarks.</p>
</td></tr>
</table>
</td>
</tr>
</table>
</body>
</html>"""
def compute_size(requested_width, requested_height, rev_width, time_height):
"""Converts potentially empty requested size into a concrete size.
(Number?, Number?) -> (Number, Number)"""
pic_width = 0
pic_height = 0
if (requested_width is not None and requested_height is not None):
pic_height = requested_height
pic_width = requested_width
elif (requested_width is not None):
pic_width = requested_width
pic_height = pic_width * (float(time_height) / rev_width)
elif (requested_height is not None):
pic_height = requested_height
pic_width = pic_height * (float(rev_width) / time_height)
else:
pic_height = 800
pic_width = max(rev_width*3
, pic_height * (float(rev_width) / time_height))
return (pic_width, pic_height)
def output_svg(lines, regressions, requested_width, requested_height):
"""Outputs an svg view of the data."""
(global_min_x, _), (global_max_x, global_max_y) = bounds(lines)
max_up_slope, min_down_slope = bounds_slope(regressions)
#output
global_min_y = 0
x = global_min_x
y = global_min_y
w = global_max_x - global_min_x
h = global_max_y - global_min_y
font_size = 16
line_width = 2
pic_width, pic_height = compute_size(requested_width, requested_height
, w, h)
def cw(w1):
"""Converts a revision difference to display width."""
return (pic_width / float(w)) * w1
def cx(x):
"""Converts a revision to a horizontal display position."""
return cw(x - global_min_x)
def ch(h1):
"""Converts a time difference to a display height."""
return -(pic_height / float(h)) * h1
def cy(y):
"""Converts a time to a vertical display position."""
return pic_height + ch(y - global_min_y)
print '<!--Picture height %.2f corresponds to bench value %.2f.-->' % (
pic_height, h)
print '<svg',
print 'width=%s' % qa(str(pic_width)+'px')
print 'height=%s' % qa(str(pic_height)+'px')
print 'viewBox="0 0 %s %s"' % (str(pic_width), str(pic_height))
print 'onclick=%s' % qa(
"var event = arguments[0] || window.event;"
" if (event.shiftKey) { highlightRevision(null); }"
" if (event.ctrlKey) { highlight(null); }"
" return false;")
print 'xmlns="http://www.w3.org/2000/svg"'
print 'xmlns:xlink="http://www.w3.org/1999/xlink">'
print """
<defs>
<marker id="circleMark"
viewBox="0 0 2 2" refX="1" refY="1"
markerUnits="strokeWidth"
markerWidth="2" markerHeight="2"
orient="0">
<circle cx="1" cy="1" r="1"/>
</marker>
</defs>"""
#output the revisions
print """
<script type="text/javascript">//<![CDATA[
var previousRevision;
var previousRevisionFill;
var previousRevisionStroke
function highlightRevision(id) {
if (previousRevision == id) return;
document.getElementById('revision').firstChild.nodeValue = 'r' + id;
document.getElementById('rev_link').setAttribute('xlink:href',
'http://code.google.com/p/skia/source/detail?r=' + id);
var preRevision = document.getElementById(previousRevision);
if (preRevision) {
preRevision.setAttributeNS(null,'fill', previousRevisionFill);
preRevision.setAttributeNS(null,'stroke', previousRevisionStroke);
}
var revision = document.getElementById(id);
previousRevision = id;
if (revision) {
previousRevisionFill = revision.getAttributeNS(null,'fill');
revision.setAttributeNS(null,'fill','rgb(100%, 95%, 95%)');
previousRevisionStroke = revision.getAttributeNS(null,'stroke');
revision.setAttributeNS(null,'stroke','rgb(100%, 90%, 90%)');
}
}
//]]></script>"""
def print_rect(x, y, w, h, revision):
"""Outputs a revision rectangle in display space,
taking arguments in revision space."""
disp_y = cy(y)
disp_h = ch(h)
if disp_h < 0:
disp_y += disp_h
disp_h = -disp_h
print '<rect id=%s x=%s y=%s' % (qa(revision), qa(cx(x)), qa(disp_y),),
print 'width=%s height=%s' % (qa(cw(w)), qa(disp_h),),
print 'fill="white"',
print 'stroke="rgb(98%%,98%%,88%%)" stroke-width=%s' % qa(line_width),
print 'onmouseover=%s' % qa(
"var event = arguments[0] || window.event;"
" if (event.shiftKey) {"
" highlightRevision('"+str(revision)+"');"
" return false;"
" }"),
print ' />'
xes = set()
for line in lines.itervalues():
for point in line:
xes.add(point[0])
revisions = list(xes)
revisions.sort()
left = x
current_revision = revisions[0]
for next_revision in revisions[1:]:
width = (((next_revision - current_revision) / 2.0)
+ (current_revision - left))
print_rect(left, y, width, h, current_revision)
left += width
current_revision = next_revision
print_rect(left, y, x+w - left, h, current_revision)
#output the lines
print """
<script type="text/javascript">//<![CDATA[
var previous;
var previousColor;
var previousOpacity;
function highlight(id) {
if (previous == id) return;
document.getElementById('label').firstChild.nodeValue = id;
var preGroup = document.getElementById(previous);
if (preGroup) {
var preLine = document.getElementById(previous+'_line');
preLine.setAttributeNS(null,'stroke', previousColor);
preLine.setAttributeNS(null,'opacity', previousOpacity);
var preSlope = document.getElementById(previous+'_linear');
if (preSlope) {
preSlope.setAttributeNS(null,'visibility', 'hidden');
}
}
var group = document.getElementById(id);
previous = id;
if (group) {
group.parentNode.appendChild(group);
var line = document.getElementById(id+'_line');
previousColor = line.getAttributeNS(null,'stroke');
previousOpacity = line.getAttributeNS(null,'opacity');
line.setAttributeNS(null,'stroke', 'blue');
line.setAttributeNS(null,'opacity', '1');
var slope = document.getElementById(id+'_linear');
if (slope) {
slope.setAttributeNS(null,'visibility', 'visible');
}
}
}
//]]></script>"""
for label, line in lines.items():
print '<g id=%s>' % qa(label)
r = 128
g = 128
b = 128
a = .10
if label in regressions:
regression = regressions[label]
min_slope = regression.find_min_slope()
if min_slope < 0:
d = max(0, (min_slope / min_down_slope))
g += int(d*128)
a += d*0.9
elif min_slope > 0:
d = max(0, (min_slope / max_up_slope))
r += int(d*128)
a += d*0.9
slope = regression.slope
intercept = regression.intercept
min_x = regression.min_x
max_x = regression.max_x
print '<polyline id=%s' % qa(str(label)+'_linear'),
print 'fill="none" stroke="yellow"',
print 'stroke-width=%s' % qa(abs(ch(regression.serror*2))),
print 'opacity="0.5" pointer-events="none" visibility="hidden"',
print 'points="',
print '%s,%s' % (str(cx(min_x)), str(cy(slope*min_x + intercept))),
print '%s,%s' % (str(cx(max_x)), str(cy(slope*max_x + intercept))),
print '"/>'
print '<polyline id=%s' % qa(str(label)+'_line'),
print 'onmouseover=%s' % qa(
"var event = arguments[0] || window.event;"
" if (event.ctrlKey) {"
" highlight('"+str(label).replace("'", "\\'")+"');"
" return false;"
" }"),
print 'fill="none" stroke="rgb(%s,%s,%s)"' % (str(r), str(g), str(b)),
print 'stroke-width=%s' % qa(line_width),
print 'opacity=%s' % qa(a),
print 'points="',
for point in line:
print '%s,%s' % (str(cx(point[0])), str(cy(point[1]))),
print '"/>'
print '</g>'
#output the labels
print '<text id="label" x="0" y=%s' % qa(font_size),
print 'font-size=%s> </text>' % qa(font_size)
print '<a id="rev_link" xlink:href="" target="_top">'
print '<text id="revision" x="0" y=%s style="' % qa(font_size*2)
print 'font-size: %s; ' % qe(font_size)
print 'stroke: #0000dd; text-decoration: underline; '
print '"> </text></a>'
print '</svg>'
if __name__ == "__main__":
main()