1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
|
'''
Task Coach - Your friendly task manager
Copyright (C) 2004-2014 Task Coach developers <developers@taskcoach.org>
Task Coach 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.
Task Coach 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/>.
'''
from taskcoachlib import operating_system, patterns
import subprocess
import wx
if operating_system.isWindows():
class Speaker(object):
''' No-op class since we don't support speech on Windows yet. '''
def say(self, text):
''' Simply ignore the method call. '''
pass
else:
class Speaker(object):
''' Class for letting the computer speak texts. Currently 'say' is
supported on Mac OS X and 'espeak' on Linux. '''
# Since speech is just one output channel, make this class a singleton.
__metaclass__ = patterns.Singleton
def __init__(self):
if operating_system.isMac():
self.__binary = 'say'
elif operating_system.isGTK():
self.__binary = 'espeak'
self.__texts_to_say = []
self.__current_speech_process = None
def say(self, text):
''' Schedule the text for speaking. '''
self.__texts_to_say.append(text)
self.__say_next_text()
def __say_next_text(self):
''' Say the next text if there is no speech process currently
running. If there is, try again in one second. '''
if self.__is_speaking():
wx.CallLater(1000, self.__say_next_text)
return
if not self.__texts_to_say:
return
text = self.__texts_to_say.pop()
self.__current_speech_process = subprocess.Popen((self.__binary,
text))
def __is_speaking(self):
''' Return whether the computer is currently speaking. '''
process = self.__current_speech_process
return process and process.poll() is None
|
