Web   ·   Wiki   ·   Activities   ·   Blog   ·   Lists   ·   Chat   ·   Meeting   ·   Bugs   ·   Git   ·   Translate   ·   Archive   ·   People   ·   Donate
summaryrefslogtreecommitdiffstats
path: root/brain.py
blob: 4ceb47e1c6744120b27543ba3c3b4c8e3e566594 (plain)
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
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
# HablarConSara.activity
# A simple hack to attach a chatterbot to speak activity
# Copyright (C) 2008 Sebastian Silva Fundacion FuenteLibre sebastian@fuentelibre.org
#
# Style and structure taken from Speak.activity Copyright (C) Joshua Minor
#
#     HablarConSara.activity 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.
#
#     HablarConSara.activity 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 HablarConSara.activity.  If not, see <http://www.gnu.org/licenses/>.

import gtk
import gobject
from gettext import gettext as _

import logging
logger = logging.getLogger('speak')

from toolkit.combobox import ComboBox

import aiml
import voice

BOTS = {
    _('Spanish'): { 'name': 'Sara',
                    'brain': 'bot/sara.brn',
                    'predicates': { 'nombre_bot': 'Sara',
                                    'botmaster': 'la comunidad Azucar' } },
    _('English'): { 'name': 'Alice',
                    'brain': 'bot/alice.brn',
                    'predicates': { 'name': 'Alice',
                                    'master': 'the Sugar Community' } } }


def get_mem_info(tag):
    meminfo = file('/proc/meminfo').readlines()
    return int([i for i in meminfo if i.startswith(tag)][0].split()[1])


# load Standard AIML set for restricted systems
if get_mem_info('MemTotal:') < 524288:
    mem_free = get_mem_info('MemFree:') + get_mem_info('Cached:')
    if mem_free < 102400:
        BOTS[_('English')]['brain'] = None
    else:
        BOTS[_('English')]['brain'] = 'bot/alisochka.brn'


_kernel = None
_kernel_voice = None


def get_default_voice():
    default_voice = voice.defaultVoice()
    if default_voice.friendlyname not in BOTS:
        return voice.allVoices()[_('English')]
    else:
        return default_voice


def get_voices():
    voices = ComboBox()
    for lang in sorted(BOTS.keys()):
        voices.append_item(voice.allVoices()[lang], lang)
    return voices.get_model()


def respond(voice, text):
    if _kernel is not None:
        text = _kernel.respond(text)
    if _kernel is None or not text:
        text = _("Sorry, I can't understand what you are asking about.")
    return text


def load(activity, voice, sorry=None):
    if voice == _kernel_voice:
        return False

    old_cursor = activity.get_cursor()
    activity.set_cursor(gtk.gdk.WATCH)

    def load_brain():
        global _kernel
        global _kernel_voice

        is_first_session = _kernel is None

        try:
            brain = BOTS[voice.friendlyname]
            logger.debug('Load bot: %s' % brain)

            kernel = aiml.Kernel()

            if brain['brain'] is None:
                warning = _("Sorry, there is no free memory to load my " \
                        "brain. Close other activities and try once more.")
                activity.face.say_notification(warning)
                return

            kernel.loadBrain(brain['brain'])
            for name, value in brain['predicates'].items():
                kernel.setBotPredicate(name, value)

            if _kernel is not None:
                del _kernel
                _kernel = None
                import gc
                gc.collect()

            _kernel = kernel
            _kernel_voice = voice
        finally:
            activity.set_cursor(old_cursor)

        if is_first_session:
            hello = _("Hello, I'm a robot \"%s\". Ask me any question.") \
                    % BOTS[voice.friendlyname]['name']
            if sorry:
                hello += ' ' + sorry
            activity.face.say_notification(hello)
        elif sorry:
            activity.face.say_notification(sorry)

    gobject.idle_add(load_brain)
    return True