mirror of
https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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460 lines
18 KiB
Python
Executable file
460 lines
18 KiB
Python
Executable file
#!/usr/bin/env python
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# -*- coding: utf-8; mode: python; -*-
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#
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# GStreamer Debug Viewer - View and analyze GStreamer debug log files
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#
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# Copyright (C) 2007 René Stadler <mail@renestadler.de>
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#
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# This program is free software; you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by the Free
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# Software Foundation; either version 3 of the License, or (at your option)
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# any later version.
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#
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# This program is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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# more details.
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#
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# You should have received a copy of the GNU General Public License along with
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# this program. If not, see <http://www.gnu.org/licenses/>.
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"""GStreamer Debug Viewer test suite for the custom tree models."""
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import sys
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import os
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import os.path
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from glob import glob
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sys.path.insert (0, os.path.join (sys.path[0], os.pardir))
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from unittest import TestCase, main as test_main
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from GstDebugViewer import Common, Data
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from GstDebugViewer.GUI.filters import CategoryFilter, Filter
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from GstDebugViewer.GUI.models import (FilteredLogModel,
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LogModelBase,
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RangeFilteredLogModel,
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SubRange,)
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class TestSubRange (TestCase):
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def test_len (self):
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l = range (20)
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sr = SubRange (l, 0, 20)
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self.assertEquals (len (sr), 20)
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sr = SubRange (l, 10, 20)
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self.assertEquals (len (sr), 10)
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sr = SubRange (l, 0, 10)
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self.assertEquals (len (sr), 10)
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sr = SubRange (l, 5, 15)
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self.assertEquals (len (sr), 10)
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def test_iter (self):
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l = range (20)
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sr = SubRange (l, 0, 20)
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self.assertEquals (list (sr), l)
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sr = SubRange (l, 10, 20)
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self.assertEquals (list (sr), range (10, 20))
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sr = SubRange (l, 0, 10)
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self.assertEquals (list (sr), range (0, 10))
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sr = SubRange (l, 5, 15)
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self.assertEquals (list (sr), range (5, 15))
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class Model (LogModelBase):
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def __init__ (self):
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LogModelBase.__init__ (self)
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for i in range (20):
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self.line_offsets.append (i * 100)
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self.line_levels.append (Data.debug_level_debug)
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def ensure_cached (self, line_offset):
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pid = line_offset // 100
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if pid % 2 == 0:
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category = "EVEN"
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else:
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category = "ODD"
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line_fmt = ("0:00:00.000000000 %5i 0x0000000 DEBUG "
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"%20s dummy.c:1:dummy: dummy")
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line_str = line_fmt % (pid, category,)
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log_line = Data.LogLine.parse_full (line_str)
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self.line_cache[line_offset] = log_line
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def access_offset (self, line_offset):
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return ""
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class IdentityFilter (Filter):
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def __init__ (self):
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def filter_func (row):
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return True
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self.filter_func = filter_func
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class RandomFilter (Filter):
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def __init__ (self, seed):
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import random
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rand = random.Random ()
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rand.seed (seed)
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def filter_func (row):
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return rand.choice ((True, False,))
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self.filter_func = filter_func
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class TestDynamicFilter (TestCase):
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def test_unset_filter_rerange (self):
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full_model = Model ()
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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row_list = self.__row_list
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self.assertEquals (row_list (full_model), range (20))
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self.assertEquals (row_list (ranged_model), range (20))
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self.assertEquals (row_list (filtered_model), range (20))
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ranged_model.set_range (5, 16)
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filtered_model.super_model_changed_range ()
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self.assertEquals (row_list (ranged_model), range (5, 16))
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self.assertEquals (row_list (filtered_model), range (5, 16))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (5, 16)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (11)],
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range (5, 16))
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def test_identity_filter_rerange (self):
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full_model = Model ()
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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row_list = self.__row_list
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self.assertEquals (row_list (full_model), range (20))
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self.assertEquals (row_list (ranged_model), range (20))
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self.assertEquals (row_list (filtered_model), range (20))
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filtered_model.add_filter (IdentityFilter (),
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Common.Data.DefaultDispatcher ())
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ranged_model.set_range (5, 16)
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filtered_model.super_model_changed_range ()
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self.assertEquals (row_list (ranged_model), range (5, 16))
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self.assertEquals (row_list (filtered_model), range (5, 16))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (5, 16)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (11)],
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range (5, 16))
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def test_filtered_range_refilter_skip (self):
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full_model = Model ()
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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row_list = self.__row_list
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filtered_model.add_filter (CategoryFilter ("EVEN"),
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Common.Data.DefaultDispatcher ())
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self.__dump_model (filtered_model, "filtered")
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self.assertEquals (row_list (filtered_model), range (1, 20, 2))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (1, 20, 2)],
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range (10))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (10)],
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range (1, 20, 2))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (1, 20, 2)],
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range (10))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (10)],
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range (1, 20, 2))
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ranged_model.set_range (1, 20)
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self.__dump_model (ranged_model, "ranged (1, 20)")
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filtered_model.super_model_changed_range ()
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self.__dump_model (filtered_model, "filtered range")
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (0, 19, 2)],
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range (10))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (10)],
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range (0, 19, 2))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (1, 20, 2)],
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range (10))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (10)],
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range (1, 20, 2))
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ranged_model.set_range (2, 20)
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self.__dump_model (ranged_model, "ranged (2, 20)")
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filtered_model.super_model_changed_range ()
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self.__dump_model (filtered_model, "filtered range")
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self.assertEquals (row_list (filtered_model), range (3, 20, 2))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (1, 18, 2)],
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range (9))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (9)],
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range (1, 18, 2))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (3, 20, 2)],
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range (9))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (9)],
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range (3, 20, 2))
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def test_filtered_range_refilter (self):
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full_model = Model ()
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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row_list = self.__row_list
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rows = row_list (full_model)
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rows_ranged = row_list (ranged_model)
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rows_filtered = row_list (filtered_model)
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self.__dump_model (full_model, "full model")
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## self.__dump_model (ranged_model, "ranged model")
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## self.__dump_model (filtered_model, "filtered model")
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self.assertEquals (rows, rows_ranged)
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self.assertEquals (rows, rows_filtered)
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self.assertEquals ([ranged_model.line_index_from_super (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([ranged_model.line_index_to_super (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([ranged_model.line_index_from_top (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([ranged_model.line_index_to_top (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (20)],
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range (20))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (20)],
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range (20))
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ranged_model.set_range (5, 16)
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self.__dump_model (ranged_model, "ranged model (5, 16)")
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filtered_model.super_model_changed_range ()
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rows_ranged = row_list (ranged_model)
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self.assertEquals (rows_ranged, range (5, 16))
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self.__dump_model (filtered_model, "filtered model (nofilter, 5, 15)")
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rows_filtered = row_list (filtered_model)
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self.assertEquals (rows_ranged, rows_filtered)
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self.assertEquals ([ranged_model.line_index_from_super (i)
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for i in range (5, 16)],
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range (11))
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self.assertEquals ([ranged_model.line_index_to_super (i)
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for i in range (11)],
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range (5, 16))
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self.assertEquals ([ranged_model.line_index_from_top (i)
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for i in range (5, 16)],
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range (11))
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self.assertEquals ([ranged_model.line_index_to_top (i)
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for i in range (11)],
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range (5, 16))
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (11)],
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range (11))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (5, 16)],
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range (11))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (11)],
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range (5, 16))
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filtered_model.add_filter (CategoryFilter ("EVEN"),
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Common.Data.DefaultDispatcher ())
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rows_filtered = row_list (filtered_model)
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self.assertEquals (rows_filtered, range (5, 16, 2))
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self.__dump_model (filtered_model, "filtered model")
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (0, 11, 2)],
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range (6))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (5, 16, 2)],
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range (6))
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ranged_model.set_range (7, 13)
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self.__dump_model (ranged_model, "ranged model (7, 13)")
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filtered_model.super_model_changed_range ()
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self.assertEquals (row_list (ranged_model), range (7, 13))
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self.assertEquals ([ranged_model.line_index_from_super (i)
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for i in range (7, 13)],
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range (6))
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self.assertEquals ([ranged_model.line_index_to_super (i)
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for i in range (6)],
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range (7, 13))
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self.assertEquals ([ranged_model.line_index_from_top (i)
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for i in range (7, 13)],
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range (6))
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self.assertEquals ([ranged_model.line_index_to_top (i)
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for i in range (6)],
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range (7, 13))
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self.__dump_model (filtered_model, "filtered model (ranged 7, 12)")
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self.assertEquals ([filtered_model.line_index_from_super (i)
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for i in range (0, 6, 2)],
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range (3))
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self.assertEquals ([filtered_model.line_index_to_super (i)
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for i in range (3)],
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range (0, 6, 2))
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self.assertEquals ([filtered_model.line_index_from_top (i)
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for i in range (7, 12, 2)],
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range (3))
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self.assertEquals ([filtered_model.line_index_to_top (i)
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for i in range (3)],
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range (7, 12, 2))
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rows_filtered = row_list (filtered_model)
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self.assertEquals (rows_filtered, range (7, 13, 2))
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def test_random_filtered_range_refilter (self):
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full_model = Model ()
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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row_list = self.__row_list
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self.assertEquals (row_list (full_model), range (20))
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self.assertEquals (row_list (ranged_model), range (20))
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self.assertEquals (row_list (filtered_model), range (20))
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filtered_model.add_filter (RandomFilter (538295943),
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Common.Data.DefaultDispatcher ())
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random_rows = row_list (filtered_model)
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self.__dump_model (filtered_model)
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ranged_model.set_range (10, 20)
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self.__dump_model (ranged_model, "ranged_model (10, 20)")
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self.assertEquals (row_list (ranged_model), range (10, 20))
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filtered_model.super_model_changed_range ()
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self.__dump_model (filtered_model)
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self.assertEquals (row_list (filtered_model), [x for x in range (10, 20) if x in random_rows])
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ranged_model.set_range (0, 20)
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self.assertEquals (row_list (ranged_model), range (0, 20))
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ranged_model = RangeFilteredLogModel (full_model)
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# FIXME: Call to .reset should not be needed.
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ranged_model.reset ()
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filtered_model = FilteredLogModel (ranged_model)
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filtered_model.add_filter (RandomFilter (538295943),
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Common.Data.DefaultDispatcher ())
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self.__dump_model (filtered_model, "filtered model")
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self.assertEquals (row_list (filtered_model), random_rows)
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ranged_model.set_range (0, 10)
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self.__dump_model (ranged_model, "ranged model (0, 10)")
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filtered_model.super_model_changed_range ()
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self.assertEquals (row_list (ranged_model), range (0, 10))
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self.__dump_model (filtered_model)
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self.assertEquals (row_list (filtered_model), [x for x in range (0, 10) if x in random_rows])
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def __row_list (self, model):
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return [row[Model.COL_PID] for row in model]
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def __dump_model (self, model, comment = None):
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# TODO: Provide a command line option to turn this on and off.
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return
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if not hasattr (model, "super_model"):
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# Top model.
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print "\t(%s)" % ("|".join ([str (i).rjust (2) for i in self.__row_list (model)]),),
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else:
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top_model = model.super_model
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if hasattr (top_model, "super_model"):
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top_model = top_model.super_model
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top_indices = self.__row_list (top_model)
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positions = self.__row_list (model)
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output = [" "] * len (top_indices)
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for i, position in enumerate (positions):
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output[position] = str (i).rjust (2)
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print "\t(%s)" % ("|".join (output),),
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if comment is None:
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print
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else:
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print comment
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if __name__ == "__main__":
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test_main ()
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