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294 lines
14 KiB
Python
Executable File
294 lines
14 KiB
Python
Executable File
#!/usr/bin/env python
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import testlog_parser, sys, os, xml, glob, re
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from table_formatter import *
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from optparse import OptionParser
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numeric_re = re.compile("(\d+)")
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cvtype_re = re.compile("(8U|8S|16U|16S|32S|32F|64F)C(\d{1,3})")
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cvtypes = { '8U': 0, '8S': 1, '16U': 2, '16S': 3, '32S': 4, '32F': 5, '64F': 6 }
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convert = lambda text: int(text) if text.isdigit() else text
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keyselector = lambda a: cvtype_re.sub(lambda match: " " + str(cvtypes.get(match.group(1), 7) + (int(match.group(2))-1) * 8) + " ", a)
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alphanum_keyselector = lambda key: [ convert(c) for c in numeric_re.split(keyselector(key)) ]
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def getSetName(tset, idx, columns, short = True):
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if columns and len(columns) > idx:
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prefix = columns[idx]
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else:
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prefix = None
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if short and prefix:
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return prefix
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name = tset[0].replace(".xml","").replace("_", "\n")
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if prefix:
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return prefix + "\n" + ("-"*int(len(max(prefix.split("\n"), key=len))*1.5)) + "\n" + name
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return name
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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print >> sys.stderr, "Usage:\n", os.path.basename(sys.argv[0]), "<log_name1>.xml [<log_name2>.xml ...]"
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exit(0)
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parser = OptionParser()
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parser.add_option("-o", "--output", dest="format", help="output results in text format (can be 'txt', 'html' or 'auto' - default)", metavar="FMT", default="auto")
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parser.add_option("-m", "--metric", dest="metric", help="output metric", metavar="NAME", default="gmean")
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parser.add_option("-u", "--units", dest="units", help="units for output values (s, ms (default), mks, ns or ticks)", metavar="UNITS", default="ms")
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parser.add_option("-f", "--filter", dest="filter", help="regex to filter tests", metavar="REGEX", default=None)
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parser.add_option("", "--module", dest="module", default=None, metavar="NAME", help="module prefix for test names")
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parser.add_option("", "--columns", dest="columns", default=None, metavar="NAMES", help="comma-separated list of column aliases")
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parser.add_option("", "--no-relatives", action="store_false", dest="calc_relatives", default=True, help="do not output relative values")
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parser.add_option("", "--with-cycles-reduction", action="store_true", dest="calc_cr", default=False, help="output cycle reduction percentages")
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parser.add_option("", "--with-score", action="store_true", dest="calc_score", default=False, help="output automatic classification of speedups")
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parser.add_option("", "--progress", action="store_true", dest="progress_mode", default=False, help="enable progress mode")
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parser.add_option("", "--regressions", dest="regressions", default=None, metavar="LIST", help="comma-separated custom regressions map: \"[r][c]#current-#reference\" (indexes of columns are 0-based, \"r\" - reverse flag, \"c\" - color flag for base data)")
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parser.add_option("", "--show-all", action="store_true", dest="showall", default=False, help="also include empty and \"notrun\" lines")
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parser.add_option("", "--match", dest="match", default=None)
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parser.add_option("", "--match-replace", dest="match_replace", default="")
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parser.add_option("", "--regressions-only", dest="regressionsOnly", default=None, metavar="X-FACTOR", help="show only tests with performance regressions not")
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parser.add_option("", "--intersect-logs", dest="intersect_logs", default=False, help="show only tests present in all log files")
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(options, args) = parser.parse_args()
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options.generateHtml = detectHtmlOutputType(options.format)
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if options.metric not in metrix_table:
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options.metric = "gmean"
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if options.metric.endswith("%") or options.metric.endswith("$"):
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options.calc_relatives = False
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options.calc_cr = False
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if options.columns:
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options.columns = [s.strip().replace("\\n", "\n") for s in options.columns.split(",")]
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if options.regressions:
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assert not options.progress_mode, 'unsupported mode'
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def parseRegressionColumn(s):
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""" Format: '[r][c]<uint>-<uint>' """
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reverse = s.startswith('r')
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if reverse:
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s = s[1:]
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addColor = s.startswith('c')
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if addColor:
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s = s[1:]
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parts = s.split('-', 1)
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link = (int(parts[0]), int(parts[1]), reverse, addColor)
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assert link[0] != link[1]
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return link
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options.regressions = [parseRegressionColumn(s) for s in options.regressions.split(',')]
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# expand wildcards and filter duplicates
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files = []
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seen = set()
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for arg in args:
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if ("*" in arg) or ("?" in arg):
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flist = [os.path.abspath(f) for f in glob.glob(arg)]
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flist = sorted(flist, key= lambda text: str(text).replace("M", "_"))
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files.extend([ x for x in flist if x not in seen and not seen.add(x)])
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else:
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fname = os.path.abspath(arg)
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if fname not in seen and not seen.add(fname):
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files.append(fname)
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# read all passed files
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test_sets = []
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for arg in files:
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try:
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tests = testlog_parser.parseLogFile(arg)
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if options.filter:
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expr = re.compile(options.filter)
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tests = [t for t in tests if expr.search(str(t))]
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if options.match:
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tests = [t for t in tests if t.get("status") != "notrun"]
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if tests:
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test_sets.append((os.path.basename(arg), tests))
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except IOError as err:
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sys.stderr.write("IOError reading \"" + arg + "\" - " + str(err) + os.linesep)
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except xml.parsers.expat.ExpatError as err:
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sys.stderr.write("ExpatError reading \"" + arg + "\" - " + str(err) + os.linesep)
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if not test_sets:
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sys.stderr.write("Error: no test data found" + os.linesep)
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quit()
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setsCount = len(test_sets)
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if options.regressions is None:
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reference = -1 if options.progress_mode else 0
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options.regressions = [(i, reference, False, True) for i in range(1, len(test_sets))]
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for link in options.regressions:
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(i, ref, reverse, addColor) = link
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assert i >= 0 and i < setsCount
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assert ref < setsCount
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# find matches
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test_cases = {}
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name_extractor = lambda name: str(name)
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if options.match:
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reg = re.compile(options.match)
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name_extractor = lambda name: reg.sub(options.match_replace, str(name))
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for i in range(setsCount):
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for case in test_sets[i][1]:
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name = name_extractor(case)
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if options.module:
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name = options.module + "::" + name
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if name not in test_cases:
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test_cases[name] = [None] * setsCount
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test_cases[name][i] = case
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# build table
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getter = metrix_table[options.metric][1]
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getter_score = metrix_table["score"][1] if options.calc_score else None
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getter_p = metrix_table[options.metric + "%"][1] if options.calc_relatives else None
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getter_cr = metrix_table[options.metric + "$"][1] if options.calc_cr else None
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tbl = table(metrix_table[options.metric][0])
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# header
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tbl.newColumn("name", "Name of Test", align = "left", cssclass = "col_name")
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for i in range(setsCount):
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tbl.newColumn(str(i), getSetName(test_sets[i], i, options.columns, False), align = "center")
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def addHeaderColumns(suffix, description, cssclass):
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for link in options.regressions:
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(i, ref, reverse, addColor) = link
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if reverse:
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i, ref = ref, i
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current_set = test_sets[i]
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current = getSetName(current_set, i, options.columns)
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if ref >= 0:
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reference_set = test_sets[ref]
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reference = getSetName(reference_set, ref, options.columns)
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else:
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reference = 'previous'
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tbl.newColumn(str(i) + '-' + str(ref) + suffix, '%s\nvs\n%s\n(%s)' % (current, reference, description), align='center', cssclass=cssclass)
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if options.calc_cr:
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addHeaderColumns(suffix='$', description='cycles reduction', cssclass='col_cr')
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if options.calc_relatives:
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addHeaderColumns(suffix='%', description='x-factor', cssclass='col_rel')
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if options.calc_score:
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addHeaderColumns(suffix='S', description='score', cssclass='col_name')
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# rows
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prevGroupName = None
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needNewRow = True
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lastRow = None
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for name in sorted(test_cases.iterkeys(), key=alphanum_keyselector):
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cases = test_cases[name]
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if needNewRow:
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lastRow = tbl.newRow()
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if not options.showall:
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needNewRow = False
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tbl.newCell("name", name)
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groupName = next(c for c in cases if c).shortName()
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if groupName != prevGroupName:
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prop = lastRow.props.get("cssclass", "")
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if "firstingroup" not in prop:
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lastRow.props["cssclass"] = prop + " firstingroup"
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prevGroupName = groupName
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for i in range(setsCount):
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case = cases[i]
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if case is None:
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if options.intersect_logs:
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needNewRow = False
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break
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tbl.newCell(str(i), "-")
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else:
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status = case.get("status")
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if status != "run":
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tbl.newCell(str(i), status, color="red")
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else:
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val = getter(case, cases[0], options.units)
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if val:
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needNewRow = True
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tbl.newCell(str(i), formatValue(val, options.metric, options.units), val)
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if needNewRow:
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for link in options.regressions:
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(i, reference, reverse, addColor) = link
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if reverse:
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i, reference = reference, i
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tblCellID = str(i) + '-' + str(reference)
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case = cases[i]
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if case is None:
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if options.calc_relatives:
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tbl.newCell(tblCellID + "%", "-")
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if options.calc_cr:
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tbl.newCell(tblCellID + "$", "-")
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if options.calc_score:
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tbl.newCell(tblCellID + "$", "-")
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else:
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status = case.get("status")
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if status != "run":
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tbl.newCell(str(i), status, color="red")
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if status != "notrun":
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needNewRow = True
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if options.calc_relatives:
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tbl.newCell(tblCellID + "%", "-", color="red")
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if options.calc_cr:
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tbl.newCell(tblCellID + "$", "-", color="red")
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if options.calc_score:
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tbl.newCell(tblCellID + "S", "-", color="red")
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else:
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val = getter(case, cases[0], options.units)
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def getRegression(fn):
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if fn and val:
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for j in reversed(range(i)) if reference < 0 else [reference]:
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r = cases[j]
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if r is not None and r.get("status") == 'run':
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return fn(case, r, options.units)
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valp = getRegression(getter_p) if options.calc_relatives or options.progress_mode else None
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valcr = getRegression(getter_cr) if options.calc_cr else None
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val_score = getRegression(getter_score) if options.calc_score else None
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if not valp:
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color = None
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elif valp > 1.05:
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color = 'green'
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elif valp < 0.95:
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color = 'red'
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else:
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color = None
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if addColor:
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if not reverse:
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tbl.newCell(str(i), formatValue(val, options.metric, options.units), val, color=color)
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else:
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r = cases[reference]
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if r is not None and r.get("status") == 'run':
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val = getter(r, cases[0], options.units)
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tbl.newCell(str(reference), formatValue(val, options.metric, options.units), val, color=color)
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if options.calc_relatives:
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tbl.newCell(tblCellID + "%", formatValue(valp, "%"), valp, color=color, bold=color)
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if options.calc_cr:
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tbl.newCell(tblCellID + "$", formatValue(valcr, "$"), valcr, color=color, bold=color)
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if options.calc_score:
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tbl.newCell(tblCellID + "S", formatValue(val_score, "S"), val_score, color = color, bold = color)
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if not needNewRow:
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tbl.trimLastRow()
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if options.regressionsOnly:
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for r in reversed(range(len(tbl.rows))):
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for i in range(1, len(options.regressions) + 1):
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val = tbl.rows[r].cells[len(tbl.rows[r].cells) - i].value
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if val is not None and val < float(options.regressionsOnly):
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break
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else:
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tbl.rows.pop(r)
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# output table
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if options.generateHtml:
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if options.format == "moinwiki":
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tbl.htmlPrintTable(sys.stdout, True)
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else:
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htmlPrintHeader(sys.stdout, "Summary report for %s tests from %s test logs" % (len(test_cases), setsCount))
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tbl.htmlPrintTable(sys.stdout)
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htmlPrintFooter(sys.stdout)
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else:
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tbl.consolePrintTable(sys.stdout)
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if options.regressionsOnly:
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sys.exit(len(tbl.rows))
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