#!/usr/bin/env python
# -*- coding: utf-8; mode: python; -*-
#
# GStreamer Debug Viewer - View and analyze GStreamer debug log files
#
# Copyright (C) 2007 René Stadler <mail@renestadler.de>
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; either version 3 of the License, or (at your option)
# any later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
#
# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>.
"""GStreamer Debug Viewer test suite for the custom tree models."""
import sys
import os
import os.path
from glob import glob
from unittest import TestCase, main as test_main
from .. import Common, Data
from .. GUI.filters import CategoryFilter, Filter
from .. GUI.models import (FilteredLogModel,
LogModelBase,
SubRange,)
class TestSubRange (TestCase):
def test_len(self):
values = list(range(20))
sr = SubRange(values, 0, 20)
self.assertEqual(len(sr), 20)
sr = SubRange(values, 10, 20)
self.assertEqual(len(sr), 10)
sr = SubRange(values, 0, 10)
self.assertEqual(len(sr), 10)
sr = SubRange(values, 5, 15)
self.assertEqual(len(sr), 10)
def test_iter(self):
values = list(range(20))
sr = SubRange(values, 0, 20)
self.assertEqual(list(sr), values)
sr = SubRange(values, 10, 20)
self.assertEqual(list(sr), list(range(10, 20)))
sr = SubRange(values, 0, 10)
self.assertEqual(list(sr), list(range(0, 10)))
sr = SubRange(values, 5, 15)
self.assertEqual(list(sr), list(range(5, 15)))
class Model (LogModelBase):
def __init__(self):
LogModelBase.__init__(self)
for i in range(20):
self.line_offsets.append(i * 100)
self.line_levels.append(Data.debug_level_debug)
def ensure_cached(self, line_offset):
pid = line_offset // 100
if pid % 2 == 0:
category = b"EVEN"
else:
category = b"ODD"
line_fmt = (b"0:00:00.000000000 %5i 0x0000000 DEBUG "
b"%20s dummy.c:1:dummy: dummy")
line_str = line_fmt % (pid, category,)
log_line = Data.LogLine.parse_full(line_str)
self.line_cache[line_offset] = log_line
def access_offset(self, line_offset):
return ""
class IdentityFilter (Filter):
def __init__(self):
def filter_func(row):
return True
self.filter_func = filter_func
class RandomFilter (Filter):
def __init__(self, seed):
import random
rand = random.Random()
rand.seed(seed)
def filter_func(row):
return rand.choice((True, False,))
self.filter_func = filter_func
class TestDynamicFilter (TestCase):
def test_unset_filter_rerange(self):
full_model = Model()
filtered_model = FilteredLogModel(full_model)
row_list = self.__row_list
self.assertEqual(row_list(full_model), list(range(20)))
self.assertEqual(row_list(filtered_model), list(range(20)))
filtered_model.set_range(5, 16)
self.assertEqual(row_list(filtered_model), list(range(5, 16)))
def test_identity_filter_rerange(self):
full_model = Model()
filtered_model = FilteredLogModel(full_model)
row_list = self.__row_list
self.assertEqual(row_list(full_model), list(range(20)))
self.assertEqual(row_list(filtered_model), list(range(20)))
filtered_model.add_filter(IdentityFilter(),
Common.Data.DefaultDispatcher())
filtered_model.set_range(5, 16)
self.assertEqual(row_list(filtered_model), list(range(5, 16)))
def test_filtered_range_refilter_skip(self):
full_model = Model()
filtered_model = FilteredLogModel(full_model)
row_list = self.__row_list
filtered_model.add_filter(CategoryFilter("EVEN"),
Common.Data.DefaultDispatcher())
self.__dump_model(filtered_model, "filtered")
self.assertEqual(row_list(filtered_model), list(range(1, 20, 2)))
self.assertEqual([filtered_model.line_index_from_super(i)
for i in range(1, 20, 2)],
list(range(10)))
self.assertEqual([filtered_model.line_index_to_super(i)
for i in range(10)],
list(range(1, 20, 2)))
filtered_model.set_range(1, 20)
self.__dump_model(filtered_model, "ranged (1, 20)")
self.__dump_model(filtered_model, "filtered range")
self.assertEqual([filtered_model.line_index_from_super(i)
for i in range(0, 19, 2)],
list(range(10)))
self.assertEqual([filtered_model.line_index_to_super(i)
for i in range(10)],
list(range(1, 20, 2)))
filtered_model.set_range(2, 20)
self.__dump_model(filtered_model, "ranged (2, 20)")
self.assertEqual(row_list(filtered_model), list(range(3, 20, 2)))
def test_filtered_range_refilter(self):
full_model = Model()
filtered_model = FilteredLogModel(full_model)
row_list = self.__row_list
rows = row_list(full_model)
rows_filtered = row_list(filtered_model)
self.__dump_model(full_model, "full model")
self.assertEqual(rows, rows_filtered)
self.assertEqual([filtered_model.line_index_from_super(i)
for i in range(20)],
list(range(20)))
self.assertEqual([filtered_model.line_index_to_super(i)
for i in range(20)],
list(range(20)))
filtered_model.set_range(5, 16)
self.__dump_model(filtered_model, "ranged model (5, 16)")
rows_ranged = row_list(filtered_model)
self.assertEqual(rows_ranged, list(range(5, 16)))
self.__dump_model(filtered_model, "filtered model (nofilter, 5, 15)")
filtered_model.add_filter(CategoryFilter("EVEN"),
Common.Data.DefaultDispatcher())
rows_filtered = row_list(filtered_model)
self.assertEqual(rows_filtered, list(range(5, 16, 2)))
self.__dump_model(filtered_model, "filtered model")
def test_random_filtered_range_refilter(self):
full_model = Model()
filtered_model = FilteredLogModel(full_model)
row_list = self.__row_list
self.assertEqual(row_list(full_model), list(range(20)))
self.assertEqual(row_list(filtered_model), list(range(20)))
filtered_model.add_filter(RandomFilter(538295943),
Common.Data.DefaultDispatcher())
random_rows = row_list(filtered_model)
self.__dump_model(filtered_model)
filtered_model = FilteredLogModel(full_model)
filtered_model.add_filter(RandomFilter(538295943),
Common.Data.DefaultDispatcher())
self.__dump_model(filtered_model, "filtered model")
self.assertEqual(row_list(filtered_model), random_rows)
filtered_model.set_range(1, 10)
self.__dump_model(filtered_model)
self.assertEqual(row_list(filtered_model), [
x for x in range(0, 10) if x in random_rows])
def __row_list(self, model):
return [row[Model.COL_PID] for row in model]
def __dump_model(self, model, comment=None):
# TODO: Provide a command line option to turn this on and off.
return
if not hasattr(model, "super_model"):
# Top model.
print("\t(%s)" % ("|".join([str(i).rjust(2)
for i in self.__row_list(model)]),), end=' ')
else:
top_model = model.super_model
if hasattr(top_model, "super_model"):
top_model = top_model.super_model
top_indices = self.__row_list(top_model)
positions = self.__row_list(model)
output = [" "] * len(top_indices)
for i, position in enumerate(positions):
output[position] = str(i).rjust(2)
print("\t(%s)" % ("|".join(output),), end=' ')
if comment is None:
print()
else:
print(comment)
if __name__ == "__main__":
test_main()