Add a simple tool for comparing two static analyzer runs, primarily for use from

buildbot.


git-svn-id: https://llvm.org/svn/llvm-project/cfe/trunk@78336 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Daniel Dunbar 2009-08-06 21:15:33 +00:00
Родитель 7f27d92006
Коммит 301f7acce8
1 изменённых файлов: 230 добавлений и 0 удалений

230
utils/analyzer/CmpRuns Executable file
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#!/usr/bin/env python
"""
CmpRuns - A simple tool for comparing two static analyzer runs to determine
which reports have been added, removed, or changed.
This is designed to support automated testing using the static analyzer, from
two perspectives:
1. To monitor changes in the static analyzer's reports on real code bases, for
regression testing.
2. For use by end users who want to integrate regular static analyzer testing
into a buildbot like environment.
"""
import os
import plistlib
#
class multidict:
def __init__(self, elts=()):
self.data = {}
for key,value in elts:
self[key] = value
def __getitem__(self, item):
return self.data[item]
def __setitem__(self, key, value):
if key in self.data:
self.data[key].append(value)
else:
self.data[key] = [value]
def items(self):
return self.data.items()
def values(self):
return self.data.values()
def keys(self):
return self.data.keys()
def __len__(self):
return len(self.data)
def get(self, key, default=None):
return self.data.get(key, default)
#
class AnalysisReport:
def __init__(self, run, files):
self.run = run
self.files = files
class AnalysisDiagnostic:
def __init__(self, data, report, htmlReport):
self.data = data
self.report = report
self.htmlReport = htmlReport
def getReadableName(self):
loc = self.data['location']
filename = self.report.run.getSourceName(self.report.files[loc['file']])
line = loc['line']
column = loc['col']
# FIXME: Get a report number based on this key, to 'distinguish'
# reports, or something.
return '%s:%d:%d' % (filename, line, column)
def getReportData(self):
if self.htmlReport is None:
return "This diagnostic does not have any report data."
return open(os.path.join(self.report.run.path,
self.htmlReport), "rb").read()
class AnalysisRun:
def __init__(self, path, opts):
self.path = path
self.reports = []
self.diagnostics = []
self.opts = opts
def getSourceName(self, path):
if path.startswith(self.opts.root):
return path[len(self.opts.root):]
return path
def loadResults(path, opts):
run = AnalysisRun(path, opts)
for f in os.listdir(path):
if (not f.startswith('report') or
not f.endswith('plist')):
continue
p = os.path.join(path, f)
data = plistlib.readPlist(p)
# Ignore empty reports.
if not data['files']:
continue
# Extract the HTML reports, if they exists.
if 'HTMLDiagnostics_files' in data['diagnostics'][0]:
htmlFiles = []
for d in data['diagnostics']:
# FIXME: Why is this named files, when does it have multiple
# files?
assert len(d['HTMLDiagnostics_files']) == 1
htmlFiles.append(d.pop('HTMLDiagnostics_files')[0])
else:
htmlFiles = [None] * len(data['diagnostics'])
report = AnalysisReport(run, data.pop('files'))
diagnostics = [AnalysisDiagnostic(d, report, h)
for d,h in zip(data.pop('diagnostics'),
htmlFiles)]
assert not data
run.reports.append(report)
run.diagnostics.extend(diagnostics)
return run
def compareResults(A, B):
"""
compareResults - Generate a relation from diagnostics in run A to
diagnostics in run B.
The result is the relation as a list of triples (a, b, confidence) where
each element {a,b} is None or an element from the respective run, and
confidence is a measure of the match quality (where 0 indicates equality,
and None is used if either element is None).
"""
res = []
# Quickly eliminate equal elements.
neqA = []
neqB = []
eltsA = list(A.diagnostics)
eltsB = list(B.diagnostics)
eltsA.sort(key = lambda d: d.data)
eltsB.sort(key = lambda d: d.data)
while eltsA and eltsB:
a = eltsA.pop()
b = eltsB.pop()
if a.data == b.data:
res.append((a, b, 0))
elif a.data > b.data:
neqA.append(a)
eltsB.append(b)
else:
neqB.append(b)
eltsA.append(a)
neqA.extend(eltsA)
neqB.extend(eltsB)
# FIXME: Add fuzzy matching. One simple and possible effective idea would be
# to bin the diagnostics, print them in a normalized form (based solely on
# the structure of the diagnostic), compute the diff, then use that as the
# basis for matching. This has the nice property that we don't depend in any
# way on the diagnostic format.
for a in neqA:
res.append((a, None, None))
for b in neqB:
res.append((None, b, None))
return res
def main():
from optparse import OptionParser
parser = OptionParser("usage: %prog [options] [dir A] [dir B]")
parser.add_option("", "--root", dest="root",
help="Prefix to ignore on source files",
action="store", type=str, default="")
parser.add_option("", "--verbose-log", dest="verboseLog",
help="Write additional information to LOG [default=None]",
action="store", type=str, default=None,
metavar="LOG")
(opts, args) = parser.parse_args()
if len(args) != 2:
parser.error("invalid number of arguments")
dirA,dirB = args
# Load the run results.
resultsA = loadResults(dirA, opts)
resultsB = loadResults(dirB, opts)
# Open the verbose log, if given.
if opts.verboseLog:
auxLog = open(opts.verboseLog, "wb")
else:
auxLog = None
diff = compareResults(resultsA, resultsB)
for res in diff:
a,b,confidence = res
if a is None:
print "ADDED: %r" % b.getReadableName()
if auxLog:
print >>auxLog, ("('ADDED', %r, %r)" % (b.getReadableName(),
b.getReportData()))
elif b is None:
print "REMOVED: %r" % a.getReadableName()
if auxLog:
print >>auxLog, ("('REMOVED', %r, %r)" % (a.getReadableName(),
a.getReportData()))
elif confidence:
print "CHANGED: %r to %r" % (a.getReadableName(),
b.getReadableName())
if auxLog:
print >>auxLog, ("('CHANGED', %r, %r, %r, %r)"
% (a.getReadableName(),
b.getReadableName(),
a.getReportData(),
b.getReportData()))
else:
pass
print "TOTAL REPORTS: %r" % len(resultsB.diagnostics)
if auxLog:
print >>auxLog, "('TOTAL', %r)" % len(resultsB.diagnostics)
if __name__ == '__main__':
main()