Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
from __future__ import print_function
import testlog_parser, sys, os, xml, re, glob
from table_formatter import *
from optparse import OptionParser
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-o", "--output", dest="format", help="output results in text format (can be 'txt', 'html' or 'auto' - default)", metavar="FMT", default="auto")
parser.add_option("-u", "--units", dest="units", help="units for output values (s, ms (default), us, ns or ticks)", metavar="UNITS", default="ms")
parser.add_option("-c", "--columns", dest="columns", help="comma-separated list of columns to show", metavar="COLS", default="")
parser.add_option("-f", "--filter", dest="filter", help="regex to filter tests", metavar="REGEX", default=None)
parser.add_option("", "--show-all", action="store_true", dest="showall", default=False, help="also include empty and \"notrun\" lines")
(options, args) = parser.parse_args()
if len(args) < 1:
print("Usage:\n", os.path.basename(sys.argv[0]), "<log_name1>.xml", file=sys.stderr)
exit(0)
options.generateHtml = detectHtmlOutputType(options.format)
# expand wildcards and filter duplicates
files = []
files1 = []
for arg in args:
if ("*" in arg) or ("?" in arg):
files1.extend([os.path.abspath(f) for f in glob.glob(arg)])
else:
files.append(os.path.abspath(arg))
seen = set()
files = [ x for x in files if x not in seen and not seen.add(x)]
files.extend((set(files1) - set(files)))
args = files
# load test data
tests = []
files = []
for arg in set(args):
try:
cases = testlog_parser.parseLogFile(arg)
if cases:
files.append(os.path.basename(arg))
tests.extend(cases)
except:
pass
if options.filter:
expr = re.compile(options.filter)
tests = [t for t in tests if expr.search(str(t))]
tbl = table(", ".join(files))
if options.columns:
metrics = [s.strip() for s in options.columns.split(",")]
metrics = [m for m in metrics if m and not m.endswith("%") and m in metrix_table]
else:
metrics = None
if not metrics:
metrics = ["name", "samples", "outliers", "min", "median", "gmean", "mean", "stddev"]
if "name" not in metrics:
metrics.insert(0, "name")
for m in metrics:
if m == "name":
tbl.newColumn(m, metrix_table[m][0])
else:
tbl.newColumn(m, metrix_table[m][0], align = "center")
needNewRow = True
for case in sorted(tests, key=lambda x: str(x)):
if needNewRow:
tbl.newRow()
if not options.showall:
needNewRow = False
status = case.get("status")
if status != "run":
if status != "notrun":
needNewRow = True
for m in metrics:
if m == "name":
tbl.newCell(m, str(case))
else:
tbl.newCell(m, status, color = "red")
else:
needNewRow = True
for m in metrics:
val = metrix_table[m][1](case, None, options.units)
if isinstance(val, float):
tbl.newCell(m, "%.2f %s" % (val, options.units), val)
else:
tbl.newCell(m, val, val)
if not needNewRow:
tbl.trimLastRow()
# output table
if options.generateHtml:
if options.format == "moinwiki":
tbl.htmlPrintTable(sys.stdout, True)
else:
htmlPrintHeader(sys.stdout, "Report %s tests from %s" % (len(tests), ", ".join(files)))
tbl.htmlPrintTable(sys.stdout)
htmlPrintFooter(sys.stdout)
else:
tbl.consolePrintTable(sys.stdout)