blob: 9139c9a05cf5f98a0ce250f4e1f750228e1a40c7 [file] [log] [blame]
#!/usr/bin/env python
#
# Copyright (C) 2004, 2005, 2006 Nathaniel Smith
# Copyright (C) 2007 Holger Hans Peter Freyther
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# 3. Neither the name of Apple Computer, Inc. ("Apple") nor the names of
# its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY APPLE AND ITS CONTRIBUTORS "AS IS" AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL APPLE OR ITS CONTRIBUTORS BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
# THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# HTML output inspired by the output of lcov as found on the GStreamer
# site. I assume this is not copyrightable.
#
#
# Read all CSV files and
# Create an overview file
#
#
import sys
import csv
import glob
import time
import os
import os.path
import datetime
import shutil
os.environ["TTFPATH"] = ":".join(["/usr/share/fonts/truetype/" + d
for d in "ttf-bitstream-vera",
"freefont",
"msttcorefonts"])
import matplotlib
matplotlib.use("Agg")
import matplotlib.pylab as m
level_LOW = 10
level_MEDIUM = 70
def copy_files(dest_dir):
"""
Copy the CSS and the png's to the destination directory
"""
images = ["amber.png", "emerald.png", "glass.png", "ruby.png", "snow.png"]
css = "gcov.css"
(base_path, name) = os.path.split(__file__)
base_path = os.path.abspath(base_path)
shutil.copyfile(os.path.join(base_path,css), os.path.join(dest_dir,css))
map(lambda x: shutil.copyfile(os.path.join(base_path,x), os.path.join(dest_dir,x)), images)
def sumcov(cov):
return "%.2f%% (%s/%s)" % (cov[1] * 100.0 / (cov[0] or 1), cov[1], cov[0])
def create_page(dest_dir, name):
index = open(os.path.join(dest_dir, name), "w")
index.write("""<HTML>
<HEAD>
<TITLE>WebKit test coverage information</TITLE>
<link rel="stylesheet" type="text/css" href="gcov.css">
</HEAD>
<BODY>
""")
return index
def generate_header(file, last_time, total_lines, total_executed, path, image):
product = "WebKit"
date = time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime(last_time))
covered_lines = sumcov((total_lines, total_executed))
file.write("""<table width="100%%" border=0 cellspacing=0 cellpadding=0>
<tr><td class="title">GCOV code coverage report</td></tr>
<tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
<tr>
<td width="100%%">
<table cellpadding=1 border=0 width="100%%">
<tr>
<td class="headerItem" width="20%%">Current&nbsp;view:</td>
<td class="headerValue" width="80%%" colspan=4>%(path)s</td>
</tr>
<tr>
<td class="headerItem" width="20%%">Test:</td>
<td class="headerValue" width="80%%" colspan=4>%(product)s</td>
</tr>
<tr>
<td class="headerItem" width="20%%">Date:</td>
<td class="headerValue" width="20%%">%(date)s</td>
<td width="20%%"></td>
<td class="headerItem" width="20%%">Instrumented&nbsp;lines:</td>
<td class="headerValue" width="20%%">%(total_lines)s</td>
</tr>
<tr>
<td class="headerItem" width="20%%">Code&nbsp;covered:</td>
<td class="headerValue" width="20%%">%(covered_lines)s</td>
<td width="20%%"></td>
<td class="headerItem" width="20%%">Executed&nbsp;lines:</td>
<td class="headerValue" width="20%%">%(total_executed)s</td>
</tr>
</table>
</td>
</tr>
<tr><td class="ruler"><img src="glass.png" width=3 height=3 alt=""></td></tr>
</table>""" % vars())
# disabled for now <tr><td><img src="%(image)s"></td></tr>
def generate_table_item(file, name, total_lines, covered_lines):
covered_precise = (covered_lines*100.0)/(total_lines or 1.0)
covered = int(round(covered_precise))
remainder = 100-covered
(image,perClass,numClass) = coverage_icon(covered_precise)
site = "%s.html" % name.replace(os.path.sep,'__')
file.write("""
<tr>
<td class="coverFile"><a href="%(site)s">%(name)s</a></td>
<td class="coverBar" align="center">
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="%(image)s" width=%(covered)s height=10 alt="%(covered_precise).2f"><img src="snow.png" width=%(remainder)s height=10 alt="%(covered_precise).2f"></td></tr></table>
</td>
<td class="%(perClass)s">%(covered_precise).2f&nbsp;%%</td>
<td class="%(numClass)s">%(covered_lines)s&nbsp;/&nbsp;%(total_lines)s&nbsp;lines</td>
</tr>
""" % vars())
def generate_table_header_start(file):
file.write("""<center>
<table width="80%%" cellpadding=2 cellspacing=1 border=0>
<tr>
<td width="50%%"><br></td>
<td width="15%%"></td>
<td width="15%%"></td>
<td width="20%%"></td>
</tr>
<tr>
<td class="tableHead">Directory&nbsp;name</td>
<td class="tableHead" colspan=3>Coverage</td>
</tr>
""")
def coverage_icon(percent):
if percent < level_LOW:
return ("ruby.png", "coverPerLo", "coverNumLo")
elif percent < level_MEDIUM:
return ("amber.png", "coverPerMed", "coverNumMed")
else:
return ("emerald.png", "coverPerHi", "coverNumHi")
def replace(text, *pairs):
"""
From pydoc... almost identical at least
"""
from string import split, join
while pairs:
(a,b) = pairs[0]
text = join(split(text, a), b)
pairs = pairs[1:]
return text
def escape(text):
"""
Escape string to be conform HTML
"""
return replace(text,
('&', '&amp;'),
('<', '&lt;' ),
('>', '&gt;' ) )
def generate_table_header_end(file):
file.write("""</table>
</center>""")
def write_title_page(dest_dir,plot_files, last_time, last_tot_lines, last_tot_covered, dir_series):
"""
Write the index.html with a overview of each directory
"""
index= create_page(dest_dir, "index.html")
generate_header(index, last_time, last_tot_lines, last_tot_covered, "directory", "images/Total.png")
# Create the directory overview
generate_table_header_start(index)
dirs = dir_series.keys()
dirs.sort()
for dir in dirs:
(dir_files, total_lines, covered_lines,_) = dir_series[dir][-1]
generate_table_item(index, dir, total_lines, covered_lines)
generate_table_header_end(index)
index.write("""</BODY></HTML>""")
index.close()
def write_directory_site(dest_dir, plot_files, dir_name, last_time, dir_series, file_series):
escaped_dir = dir_name.replace(os.path.sep,'__')
site = create_page(dest_dir, "%s.html" % escaped_dir)
(_,tot_lines,tot_covered,files) = dir_series[dir_name][-1]
generate_header(site, last_time, tot_lines, tot_covered, "directory - %s" % dir_name, "images/%s.png" % escaped_dir)
files.sort()
generate_table_header_start(site)
for file in files:
(lines,covered) = file_series[file][-1]
generate_table_item(site, file, lines, covered)
generate_table_header_end(site)
site.write("""</BODY></HTML>""")
site.close()
def write_file_site(dest_dir, plot_files, file_name, last_time, data_dir, last_id, file_series):
escaped_name = file_name.replace(os.path.sep,'__')
site = create_page(dest_dir, "%s.html" % escaped_name)
(tot_lines,tot_covered) = file_series[file_name][-1]
generate_header(site, last_time, tot_lines, tot_covered, "file - %s" % file_name, "images/%s.png" % escaped_name)
path = "%s/%s.annotated%s" % (data_dir,last_id,file_name)
# In contrast to the lcov we want to show files that have been compiled
# but have not been tested at all. This means we have sourcefiles with 0
# lines covered in the path but they are not lcov files.
# To identify them we check the first line now. If we see that we can
# continue
# -: 0:Source:
try:
file = open(path, "r")
except:
return
all_lines = file.read().split("\n")
# Convert the gcov file to HTML if we have a chanche to do so
# Scan each line and see if it was covered or not and escape the
# text
if len(all_lines) == 0 or not "-: 0:Source:" in all_lines[0]:
site.write("<p>The file was not excercised</p>")
else:
site.write("""</br><table cellpadding=0 cellspacing=0 border=0>
<tr>
<td><br></td>
</tr>
<tr>
<td><pre class="source">
""")
for line in all_lines:
split_line = line.split(':',2)
# e.g. at the EOF
if len(split_line) == 1:
continue
line_number = split_line[1].strip()
if line_number == "0":
continue
covered = 15*" "
end = ""
if "#####" in split_line[0]:
covered = '<span class="lineNoCov">%15s' % "0"
end = "</span>"
elif split_line[0].strip() != "-":
covered = '<span class="lineCov">%15s' % split_line[0].strip()
end = "</span>"
escaped_line = escape(split_line[2])
str = '<span class="lineNum">%(line_number)10s </span>%(covered)s: %(escaped_line)s%(end)s\n' % vars()
site.write(str)
site.write("</pre></td></tr></table>")
site.write("</BODY></HTML>")
site.close()
def main(progname, args):
if len(args) != 2:
sys.exit("Usage: %s DATADIR OUTDIR" % progname)
branch = "WebKit from trunk"
datadir, outdir = args
# First, load in all data from the data directory.
data = []
for datapath in glob.glob(os.path.join(datadir, "*.csv")):
data.append(read_csv(datapath))
# Sort by time
data.sort()
# Calculate time series for each file.
times = [sample[0] for sample in data]
times = [datetime.datetime.utcfromtimestamp(t) for t in times]
times = m.date2num(times)
all_files = {}
all_dirs = {}
for sample in data:
t, i, tot_line, tot_cover, per_file, per_dir = sample
all_files.update(per_file)
all_dirs.update(per_dir)
total_series = []
file_serieses = dict([[k, [(0, 0)] * len(times)] for k in all_files.keys()])
dir_serieses = dict([[k, [(0, 0, 0, [])] * len(times)] for k in all_dirs.keys()])
data_idx = 0
for sample in data:
t, i, tot_line, tot_cover, per_file, per_dir = sample
total_series.append([tot_line, tot_cover])
for f, covinfo in per_file.items():
file_serieses[f][data_idx] = covinfo
for f, covinfo in per_dir.items():
dir_serieses[f][data_idx] = covinfo
data_idx += 1
# Okay, ready to start outputting. First make sure our directories
# exist.
if not os.path.exists(outdir):
os.makedirs(outdir)
rel_imgdir = "images"
imgdir = os.path.join(outdir, rel_imgdir)
if not os.path.exists(imgdir):
os.makedirs(imgdir)
# Now plot the actual graphs
plot_files = {}
#plot_files["Total"] = plot_coverage(times, total_series, imgdir, "Total")
#for dir, series in dir_serieses.items():
# plot_files[dir] = plot_coverage(times, map(lambda (a,b,c,d):(b,c), series), imgdir, dir)
#for f, series in file_serieses.items():
# plot_files[f] = plot_coverage(times, series, imgdir, f)
# And look up the latest revision id, and coverage information
last_time, last_id, last_tot_lines, last_tot_covered = data[-1][:4]
# Now start generating our html file
copy_files(outdir)
write_title_page(outdir, plot_files, last_time, last_tot_lines, last_tot_covered, dir_serieses)
dir_keys = dir_serieses.keys()
dir_keys.sort()
for dir_name in dir_keys:
write_directory_site(outdir, plot_files, dir_name, last_time, dir_serieses, file_serieses)
file_keys = file_serieses.keys()
for file_name in file_keys:
write_file_site(outdir, plot_files, file_name, last_time, datadir, last_id, file_serieses)
def read_csv(path):
r = csv.reader(open(path, "r"))
# First line is id, time
for row in r:
id, time_str = row
break
time = int(float(time_str))
# Rest of lines are path, total_lines, covered_lines
per_file = {}
per_dir = {}
grand_total_lines, grand_covered_lines = 0, 0
for row in r:
path, total_lines_str, covered_lines_str = row
total_lines = int(total_lines_str)
covered_lines = int(covered_lines_str)
grand_total_lines += total_lines
grand_covered_lines += covered_lines
per_file[path] = [total_lines, covered_lines]
# Update dir statistics
dirname = os.path.dirname(path)
if not dirname in per_dir:
per_dir[dirname] = (0,0,0,[])
(dir_files,dir_total_lines,dir_covered_lines, files) = per_dir[dirname]
dir_files += 1
dir_total_lines += total_lines
dir_covered_lines += covered_lines
files.append(path)
per_dir[dirname] = (dir_files,dir_total_lines,dir_covered_lines,files)
return [time, id, grand_total_lines, grand_covered_lines, per_file, per_dir]
def plot_coverage(times, series, imgdir, name):
percentages = [cov * 100.0 / (tot or 1) for tot, cov in series]
m.plot_date(times, percentages, "b-")
m.plot_date(times, percentages, "bo")
m.title(name)
m.ylim(0, 100)
m.xlabel("Date")
m.ylabel("Statement Coverage (%)")
outfile_base = name.replace("/", "__") + ".png"
outfile = os.path.join(imgdir, outfile_base)
m.savefig(outfile, dpi=75)
m.close()
return outfile_base
if __name__ == "__main__":
import sys
main(sys.argv[0], sys.argv[1:])