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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/modules/ts/misc/report.py
16339 views
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#!/usr/bin/env python
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import testlog_parser, sys, os, xml, re, glob
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from table_formatter import *
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from optparse import OptionParser
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if __name__ == "__main__":
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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("-u", "--units", dest="units", help="units for output values (s, ms (default), us, ns or ticks)", metavar="UNITS", default="ms")
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parser.add_option("-c", "--columns", dest="columns", help="comma-separated list of columns to show", metavar="COLS", default="")
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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("", "--show-all", action="store_true", dest="showall", default=False, help="also include empty and \"notrun\" lines")
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(options, args) = parser.parse_args()
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if len(args) < 1:
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print >> sys.stderr, "Usage:\n", os.path.basename(sys.argv[0]), "<log_name1>.xml"
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exit(0)
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options.generateHtml = detectHtmlOutputType(options.format)
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# expand wildcards and filter duplicates
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files = []
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files1 = []
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for arg in args:
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if ("*" in arg) or ("?" in arg):
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files1.extend([os.path.abspath(f) for f in glob.glob(arg)])
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else:
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files.append(os.path.abspath(arg))
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seen = set()
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files = [ x for x in files if x not in seen and not seen.add(x)]
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files.extend((set(files1) - set(files)))
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args = files
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# load test data
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tests = []
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files = []
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for arg in set(args):
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try:
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cases = testlog_parser.parseLogFile(arg)
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if cases:
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files.append(os.path.basename(arg))
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tests.extend(cases)
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except:
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pass
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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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tbl = table(", ".join(files))
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if options.columns:
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metrics = [s.strip() for s in options.columns.split(",")]
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metrics = [m for m in metrics if m and not m.endswith("%") and m in metrix_table]
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else:
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metrics = None
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if not metrics:
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metrics = ["name", "samples", "outliers", "min", "median", "gmean", "mean", "stddev"]
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if "name" not in metrics:
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metrics.insert(0, "name")
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for m in metrics:
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if m == "name":
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tbl.newColumn(m, metrix_table[m][0])
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else:
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tbl.newColumn(m, metrix_table[m][0], align = "center")
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needNewRow = True
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for case in sorted(tests, key=lambda x: str(x)):
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if needNewRow:
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tbl.newRow()
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if not options.showall:
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needNewRow = False
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status = case.get("status")
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if status != "run":
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if status != "notrun":
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needNewRow = True
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for m in metrics:
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if m == "name":
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tbl.newCell(m, str(case))
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else:
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tbl.newCell(m, status, color = "red")
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else:
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needNewRow = True
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for m in metrics:
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val = metrix_table[m][1](case, None, options.units)
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if isinstance(val, float):
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tbl.newCell(m, "%.2f %s" % (val, options.units), val)
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else:
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tbl.newCell(m, val, val)
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if not needNewRow:
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tbl.trimLastRow()
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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, "Report %s tests from %s" % (len(tests), ", ".join(files)))
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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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