aboutsummaryrefslogtreecommitdiff
path: root/utils/analyzer/CmpRuns.py
blob: 77384d471edbef79f41d1a8839cf45eb0025cfd4 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
#!/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)
           
"""

import os
import plistlib
import CmpRuns

# 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
        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

    def getFileName(self):
        return self._report.run.getSourceName(self._report.files[self._loc['file']])

    # TODO: This assumes single file! 
    def getRelFileName(self):
        root = self._report.run.root
        fileName = self._report.run.getSourceName(self._report.files[self._loc['file']])
        if fileName.startswith(root) :
            return fileName[len(root):]  
        return fileName

    def getLine(self):
        return self._loc['line']
        
    def getColumn(self):
        return self._loc['col']

    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' in self._data :
          id += str(self._data['issue_hash'])
        return id

    def getReport(self):
        if self._htmlReport is None:
            return " "
        return os.path.join(self._report.run.path, self._htmlReport)

    def getReadableName(self):
        return '%s:%d:%d, %s: %s' % (self.getFileName(), self.getLine(), 
                                     self.getColumn(), self.getCategory(), 
                                     self.getDescription())

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 CmpOptions:
    def __init__(self, verboseLog=None, rootA="", rootB=""):
        self.rootA = rootA
        self.rootB = rootB
        self.verboseLog = verboseLog

class AnalysisReport:
    def __init__(self, run, files, clang_vers):
        self.run = run
        self.files = files
        self.clang_version = clang_vers

class AnalysisRun:
    def __init__(self, info):
        self.path = info.path
        self.root = info.root
        self.info = info
        self.reports = []
        self.diagnostics = []

    def getSourceName(self, path):
        if path.startswith(self.root):
            return path[len(self.root):]
        return path

# Backward compatibility API. 
def loadResults(path, opts, root = "", deleteEmpty=True):
    return loadResultsFromSingleRun(SingleRunInfo(path, root, opts.verboseLog),
                                    deleteEmpty)

# 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
def loadResultsFromSingleRun(info, deleteEmpty=True):
    path = info.path
    run = AnalysisRun(info)
    
    for f in os.listdir(path):
        if (not f.endswith('plist')):
            continue

        p = os.path.join(path, f)
        data = plistlib.readPlist(p)

        # Ignore/delete empty reports.
        if not data['files']:
            if deleteEmpty == True:
                os.remove(p)
            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'), data.pop('clang_version'))
        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 cmpAnalysisDiagnostic(d) :
    return d.getIssueIdentifier()

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 = cmpAnalysisDiagnostic)
    eltsB.sort(key = cmpAnalysisDiagnostic)
    while eltsA and eltsB:
        a = eltsA.pop()
        b = eltsB.pop()
        if (a.getIssueIdentifier() == b.getIssueIdentifier()) :
            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 dumpScanBuildResultsDiff(dirA, dirB, opts, deleteEmpty=True):
    # Load the run results.
    resultsA = loadResults(dirA, opts, opts.rootA, deleteEmpty)
    resultsB = loadResults(dirB, opts, opts.rootB, deleteEmpty)
    
    # Open the verbose log, if given.
    if opts.verboseLog:
        auxLog = open(opts.verboseLog, "wb")
    else:
        auxLog = None

    diff = compareResults(resultsA, resultsB)
    foundDiffs = 0
    for res in diff:
        a,b,confidence = res
        if a is None:
            print "ADDED: %r" % b.getReadableName()
            foundDiffs += 1
            if auxLog:
                print >>auxLog, ("('ADDED', %r, %r)" % (b.getReadableName(),
                                                        b.getReport()))
        elif b is None:
            print "REMOVED: %r" % a.getReadableName()
            foundDiffs += 1
            if auxLog:
                print >>auxLog, ("('REMOVED', %r, %r)" % (a.getReadableName(),
                                                          a.getReport()))
        elif confidence:
            print "CHANGED: %r to %r" % (a.getReadableName(),
                                         b.getReadableName())
            foundDiffs += 1
            if auxLog:
                print >>auxLog, ("('CHANGED', %r, %r, %r, %r)" 
                                 % (a.getReadableName(),
                                    b.getReadableName(),
                                    a.getReport(),
                                    b.getReport()))
        else:
            pass

    TotalReports = len(resultsB.diagnostics)
    print "TOTAL REPORTS: %r" % TotalReports
    print "TOTAL DIFFERENCES: %r" % foundDiffs
    if auxLog:
        print >>auxLog, "('TOTAL NEW REPORTS', %r)" % TotalReports
        print >>auxLog, "('TOTAL DIFFERENCES', %r)" % foundDiffs
        
    return foundDiffs    

def main():
    from optparse import OptionParser
    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")
    (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()