| #!/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. |
| |
| Usage: |
| |
| # Load the results of both runs, to obtain lists of the corresponding |
| # AnalysisDiagnostic objects. |
| # |
| resultsA = loadResultsFromSingleRun(singleRunInfoA, deleteEmpty) |
| resultsB = loadResultsFromSingleRun(singleRunInfoB, deleteEmpty) |
| |
| # Generate a relation from diagnostics in run A to diagnostics in run B |
| # to obtain a list of triples (a, b, confidence). |
| diff = compareResults(resultsA, resultsB) |
| |
| """ |
| |
| from collections import defaultdict |
| |
| from math import log |
| from optparse import OptionParser |
| import json |
| import os |
| import plistlib |
| import re |
| import sys |
| |
| STATS_REGEXP = re.compile(r"Statistics: (\{.+\})", re.MULTILINE | re.DOTALL) |
| |
| class Colors: |
| """ |
| Color for terminal highlight. |
| """ |
| RED = '\x1b[2;30;41m' |
| GREEN = '\x1b[6;30;42m' |
| CLEAR = '\x1b[0m' |
| |
| # Information about analysis run: |
| # path - the analysis output directory |
| # root - the name of the root directory, which will be disregarded when |
| # determining the source file name |
| class SingleRunInfo: |
| def __init__(self, path, root="", verboseLog=None): |
| self.path = path |
| self.root = root.rstrip("/\\") |
| self.verboseLog = verboseLog |
| |
| |
| class AnalysisDiagnostic: |
| def __init__(self, data, report, htmlReport): |
| self._data = data |
| self._loc = self._data['location'] |
| self._report = report |
| self._htmlReport = htmlReport |
| self._reportSize = len(self._data['path']) |
| |
| def getFileName(self): |
| root = self._report.run.root |
| fileName = self._report.files[self._loc['file']] |
| if fileName.startswith(root) and len(root) > 0: |
| return fileName[len(root) + 1:] |
| return fileName |
| |
| def getLine(self): |
| return self._loc['line'] |
| |
| def getColumn(self): |
| return self._loc['col'] |
| |
| def getPathLength(self): |
| return self._reportSize |
| |
| def getCategory(self): |
| return self._data['category'] |
| |
| def getDescription(self): |
| return self._data['description'] |
| |
| def getIssueIdentifier(self): |
| id = self.getFileName() + "+" |
| if 'issue_context' in self._data: |
| id += self._data['issue_context'] + "+" |
| if 'issue_hash_content_of_line_in_context' in self._data: |
| id += str(self._data['issue_hash_content_of_line_in_context']) |
| return id |
| |
| def getReport(self): |
| if self._htmlReport is None: |
| return " " |
| return os.path.join(self._report.run.path, self._htmlReport) |
| |
| def getReadableName(self): |
| if 'issue_context' in self._data: |
| funcnamePostfix = "#" + self._data['issue_context'] |
| else: |
| funcnamePostfix = "" |
| return '%s%s:%d:%d, %s: %s' % (self.getFileName(), |
| funcnamePostfix, |
| self.getLine(), |
| self.getColumn(), self.getCategory(), |
| self.getDescription()) |
| |
| # Note, the data format is not an API and may change from one analyzer |
| # version to another. |
| def getRawData(self): |
| return self._data |
| |
| |
| class AnalysisReport: |
| def __init__(self, run, files): |
| self.run = run |
| self.files = files |
| self.diagnostics = [] |
| |
| |
| class AnalysisRun: |
| def __init__(self, info): |
| self.path = info.path |
| self.root = info.root |
| self.info = info |
| self.reports = [] |
| # Cumulative list of all diagnostics from all the reports. |
| self.diagnostics = [] |
| self.clang_version = None |
| self.stats = [] |
| |
| def getClangVersion(self): |
| return self.clang_version |
| |
| def readSingleFile(self, p, deleteEmpty): |
| data = plistlib.readPlist(p) |
| if 'statistics' in data: |
| self.stats.append(json.loads(data['statistics'])) |
| data.pop('statistics') |
| |
| # We want to retrieve the clang version even if there are no |
| # reports. Assume that all reports were created using the same |
| # clang version (this is always true and is more efficient). |
| if 'clang_version' in data: |
| if self.clang_version is None: |
| self.clang_version = data.pop('clang_version') |
| else: |
| data.pop('clang_version') |
| |
| # Ignore/delete empty reports. |
| if not data['files']: |
| if deleteEmpty: |
| os.remove(p) |
| return |
| |
| # 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(self, data.pop('files')) |
| diagnostics = [AnalysisDiagnostic(d, report, h) |
| for d, h in zip(data.pop('diagnostics'), htmlFiles)] |
| |
| assert not data |
| |
| report.diagnostics.extend(diagnostics) |
| self.reports.append(report) |
| self.diagnostics.extend(diagnostics) |
| |
| |
| def loadResults(path, opts, root="", deleteEmpty=True): |
| """ |
| Backwards compatibility API. |
| """ |
| return loadResultsFromSingleRun(SingleRunInfo(path, root, opts.verboseLog), |
| deleteEmpty) |
| |
| |
| def loadResultsFromSingleRun(info, deleteEmpty=True): |
| """ |
| # Load results of the analyzes from a given output folder. |
| # - info is the SingleRunInfo object |
| # - deleteEmpty specifies if the empty plist files should be deleted |
| |
| """ |
| path = info.path |
| run = AnalysisRun(info) |
| |
| if os.path.isfile(path): |
| run.readSingleFile(path, deleteEmpty) |
| else: |
| for (dirpath, dirnames, filenames) in os.walk(path): |
| for f in filenames: |
| if (not f.endswith('plist')): |
| continue |
| p = os.path.join(dirpath, f) |
| run.readSingleFile(p, deleteEmpty) |
| |
| return run |
| |
| |
| def cmpAnalysisDiagnostic(d): |
| return d.getIssueIdentifier() |
| |
| |
| def compareResults(A, B, opts): |
| """ |
| 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) where |
| each element {a,b} is None or a matching element from the respective run |
| """ |
| |
| res = [] |
| |
| # Map size_before -> size_after |
| path_difference_data = [] |
| |
| # Quickly eliminate equal elements. |
| neqA = [] |
| neqB = [] |
| eltsA = list(A.diagnostics) |
| eltsB = list(B.diagnostics) |
| eltsA.sort(key=cmpAnalysisDiagnostic) |
| eltsB.sort(key=cmpAnalysisDiagnostic) |
| while eltsA and eltsB: |
| a = eltsA.pop() |
| b = eltsB.pop() |
| if (a.getIssueIdentifier() == b.getIssueIdentifier()): |
| if a.getPathLength() != b.getPathLength(): |
| if opts.relative_path_histogram: |
| path_difference_data.append( |
| float(a.getPathLength()) / b.getPathLength()) |
| elif opts.relative_log_path_histogram: |
| path_difference_data.append( |
| log(float(a.getPathLength()) / b.getPathLength())) |
| elif opts.absolute_path_histogram: |
| path_difference_data.append( |
| a.getPathLength() - b.getPathLength()) |
| |
| res.append((a, b)) |
| elif a.getIssueIdentifier() > b.getIssueIdentifier(): |
| eltsB.append(b) |
| neqA.append(a) |
| else: |
| eltsA.append(a) |
| neqB.append(b) |
| 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)) |
| for b in neqB: |
| res.append((None, b)) |
| |
| if opts.relative_log_path_histogram or opts.relative_path_histogram or \ |
| opts.absolute_path_histogram: |
| from matplotlib import pyplot |
| pyplot.hist(path_difference_data, bins=100) |
| pyplot.show() |
| |
| return res |
| |
| def deriveStats(results): |
| # Assume all keys are the same in each statistics bucket. |
| combined_data = defaultdict(list) |
| for stat in results.stats: |
| for key, value in stat.iteritems(): |
| combined_data[key].append(value) |
| combined_stats = {} |
| for key, values in combined_data.iteritems(): |
| combined_stats[str(key)] = { |
| "max": max(values), |
| "min": min(values), |
| "mean": sum(values) / len(values), |
| "median": sorted(values)[len(values) / 2], |
| "total": sum(values) |
| } |
| return combined_stats |
| |
| |
| def compareStats(resultsA, resultsB): |
| statsA = deriveStats(resultsA) |
| statsB = deriveStats(resultsB) |
| keys = sorted(statsA.keys()) |
| for key in keys: |
| print key |
| for kkey in statsA[key]: |
| valA = float(statsA[key][kkey]) |
| valB = float(statsB[key][kkey]) |
| report = "%.3f -> %.3f" % (valA, valB) |
| # Only apply highlighting when writing to TTY and it's not Windows |
| if sys.stdout.isatty() and os.name != 'nt': |
| if valB != 0: |
| ratio = (valB - valA) / valB |
| if ratio < -0.2: |
| report = Colors.GREEN + report + Colors.CLEAR |
| elif ratio > 0.2: |
| report = Colors.RED + report + Colors.CLEAR |
| print "\t %s %s" % (kkey, report) |
| |
| def dumpScanBuildResultsDiff(dirA, dirB, opts, deleteEmpty=True, |
| Stdout=sys.stdout): |
| # Load the run results. |
| resultsA = loadResults(dirA, opts, opts.rootA, deleteEmpty) |
| resultsB = loadResults(dirB, opts, opts.rootB, deleteEmpty) |
| if opts.show_stats: |
| compareStats(resultsA, resultsB) |
| if opts.stats_only: |
| return |
| |
| # Open the verbose log, if given. |
| if opts.verboseLog: |
| auxLog = open(opts.verboseLog, "wb") |
| else: |
| auxLog = None |
| |
| diff = compareResults(resultsA, resultsB, opts) |
| foundDiffs = 0 |
| totalAdded = 0 |
| totalRemoved = 0 |
| for res in diff: |
| a, b = res |
| if a is None: |
| Stdout.write("ADDED: %r\n" % b.getReadableName()) |
| foundDiffs += 1 |
| totalAdded += 1 |
| if auxLog: |
| auxLog.write("('ADDED', %r, %r)\n" % (b.getReadableName(), |
| b.getReport())) |
| elif b is None: |
| Stdout.write("REMOVED: %r\n" % a.getReadableName()) |
| foundDiffs += 1 |
| totalRemoved += 1 |
| if auxLog: |
| auxLog.write("('REMOVED', %r, %r)\n" % (a.getReadableName(), |
| a.getReport())) |
| else: |
| pass |
| |
| TotalReports = len(resultsB.diagnostics) |
| Stdout.write("TOTAL REPORTS: %r\n" % TotalReports) |
| Stdout.write("TOTAL ADDED: %r\n" % totalAdded) |
| Stdout.write("TOTAL REMOVED: %r\n" % totalRemoved) |
| if auxLog: |
| auxLog.write("('TOTAL NEW REPORTS', %r)\n" % TotalReports) |
| auxLog.write("('TOTAL DIFFERENCES', %r)\n" % foundDiffs) |
| auxLog.close() |
| |
| return foundDiffs, len(resultsA.diagnostics), len(resultsB.diagnostics) |
| |
| def generate_option_parser(): |
| parser = OptionParser("usage: %prog [options] [dir A] [dir B]") |
| parser.add_option("", "--rootA", dest="rootA", |
| help="Prefix to ignore on source files for directory A", |
| action="store", type=str, default="") |
| parser.add_option("", "--rootB", dest="rootB", |
| help="Prefix to ignore on source files for directory B", |
| 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") |
| parser.add_option("--relative-path-differences-histogram", |
| action="store_true", dest="relative_path_histogram", |
| default=False, |
| help="Show histogram of relative paths differences. \ |
| Requires matplotlib") |
| parser.add_option("--relative-log-path-differences-histogram", |
| action="store_true", dest="relative_log_path_histogram", |
| default=False, |
| help="Show histogram of log relative paths differences. \ |
| Requires matplotlib") |
| parser.add_option("--absolute-path-differences-histogram", |
| action="store_true", dest="absolute_path_histogram", |
| default=False, |
| help="Show histogram of absolute paths differences. \ |
| Requires matplotlib") |
| parser.add_option("--stats-only", action="store_true", dest="stats_only", |
| default=False, help="Only show statistics on reports") |
| parser.add_option("--show-stats", action="store_true", dest="show_stats", |
| default=False, help="Show change in statistics") |
| return parser |
| |
| |
| def main(): |
| parser = generate_option_parser() |
| (opts, args) = parser.parse_args() |
| |
| if len(args) != 2: |
| parser.error("invalid number of arguments") |
| |
| dirA, dirB = args |
| |
| dumpScanBuildResultsDiff(dirA, dirB, opts) |
| |
| |
| if __name__ == '__main__': |
| main() |
