def __init__(self, bot):
"""starts the megahal program"""
try:
mh_python.setnobanner()
mh_python.setdir(datadir)
except:
pass
mh_python.initbrain()
self.bot = bot
def __init__(self, bot):
"""starts the megahal program"""
try:
mh_python.setnobanner()
mh_python.setdir(datadir)
except:
pass
mh_python.initbrain()
self.bot = bot
def __init__(self, name):
mongo = MongoClient()
db = mongo.lisa.logs
msgs = db.find({'event': 'privmsg'})
mh_python.initbrain()
for msg in msgs:
mh_python.learn(msg['message'].encode('utf-8'))
def __init__(self, irc):
# Call Supybot's scripts
self.__parent = super(MegaHAL, self)
self.__parent.__init__(irc)
# Save state
saved = (sys.stdout, os.getcwd())
# Create proxy for MegaHAL
os.chdir(conf.supybot.directories.data())
sys.stdout = StringIO()
# Initialize MegaHAL
megahal.initbrain()
# Restore state
sys.stdout, cwd = saved
os.chdir(cwd)
random.seed()
def __init__(self, irc):
# Call Supybot's scripts
self.__parent = super(MegaHAL, self)
self.__parent.__init__(irc)
# Save state
saved = (sys.stdout, os.getcwd())
# Create proxy for MegaHAL
os.chdir(conf.supybot.directories.data())
sys.stdout = StringIO()
# Initialize MegaHAL
megahal.initbrain()
# Restore state
sys.stdout, cwd = saved
os.chdir(cwd)
random.seed()
def load(bot):
mh_python.initbrain()
#!/usr/bin/python # MegaHAL quick learning script. # By Laurent Fousse <*****@*****.**> GPL 2003 # # Usage: quick-learn < text-file # reads text-file linewise and feeds it to megahal import mh_python import sys mh_python.initbrain() while 1: ligne = sys.stdin.readline() if not ligne: break mh_python.learn(ligne) mh_python.cleanup()
def on_load(connection):
mh_python.initbrain()
def main():
cfgparser = ConfigParser()
success = cfgparser.read('config.cfg')
if not success:
cfgparser = get_default_config()
write_config(cfgparser)
response_rate = cfgparser.getfloat('General', 'response rate')
argparser = argparse.ArgumentParser(
description="Slack chatbot using MegaHAL")
argparser.add_argument("-t",
"--token",
type=str,
help="Slack token",
required=True)
argparser.add_argument("--debug",
help="Output raw events to help debug",
action="store_true")
args = vars(argparser.parse_args())
token = args['token']
debug = args['debug']
sc = SlackClient(token)
mh.initbrain()
try:
if sc.rtm_connect():
name = get_name(sc)
print("Detected name: %s" % name)
time_of_last_event = datetime.datetime.now()
while True:
for event in sc.rtm_read():
time_of_last_event = datetime.datetime.now()
if debug:
print(event)
if 'type' in event and event['type'] == 'message' \
and 'text' in event:
message = event['text'].encode('ascii', 'ignore')
# lowercase message so we can search it
# case-insensitively
message = message.lower()
print("Handling message: %s" % message)
match = re.search(
"%s, set response rate to [0-9]{2}(%%|)" % name,
message)
if match:
words = match.group().split()
num = words[-1]
if num[-1] == '%':
rate = float(num[:-1]) / 100
else:
rate = float(num)
response_rate = rate
reply(sc, event, "Response rate set to %f" % rate)
time.sleep(1) # sleep to avoid rate limit
else:
match = re.search(
"%s, what is your response rate?" % name,
message)
if match:
reply(
sc, event,
"My response rate is set at %f." %
response_rate)
time.sleep(1) # sleep to avoid rate limit
elif name in message or random.random(
) < response_rate:
response = mh.doreply(message)
reply(sc, event, response)
time.sleep(1) # sleep to avoid rate limit
else:
mh.learn(message)
# avoid being disconnected by activity by pinging
inactivity = datetime.datetime.now() - time_of_last_event
if inactivity > datetime.timedelta(seconds=5):
sc.server.ping()
time.sleep(2)
else:
print("Connection Failed, invalid token?")
finally:
mh.cleanup()
cfgparser.set('General', 'response rate', str(response_rate))
print('Saving config...')
write_config(cfgparser)
def __init__(self, server):
"""Constructor."""
Module.__init__(self, server)
mh_python.initbrain()
def __init__(self, server):
"""Constructor."""
Module.__init__(self, server)
mh_python.initbrain()
def __init__(self, parent, name = 'megahal', trigger = None):
Module.__init__(self, parent, name, trigger)
mh_python.initbrain()
return
