def __init__(self):
self.lock = 0 # 0 directs to initator, -1 will unlock
self.interpreter = Interpreter.load('./models/default')
self.responder = responder()
# Secondary Bots
self.initiator = initiator.initiator(self.responder)
self.matchmaking = matchmaking.matchmaking(self.responder)
self.confluence = confluence.confluence(self.responder)
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.server_address = ('localhost', 3008)
print('[PRIMARY BOT] Starting up on %s port %s' % self.server_address)
self.sock.bind(self.server_address)
self.forename_1 = ''
self.forename_2 = ''
self.mode = 0
self.init = 1
response = "TEST. READY TO CHAT."
self.responder.respond(response)
def get(self, query=None):
"""
Get documentation and demo UI.
"""
readme_view = markdown(view('../../README.md').decode())
demo_view = view('demo.htm').decode()
return responder((demo_view + readme_view).encode(), 'text/html')
def http_error(status):
"""
Create an HTTP error response.
Arguments:
status: string HTTP status including code number and description.
Returns: HTTP response
"""
error_view = view('error.htm', {'error': status})
response = responder(error_view, 'text/html', status)
return response
def http_error(status):
"""
Create an HTTP error response.
Arguments:
status: string HTTP status including code number and description.
Returns: HTTP response
"""
error_view = view('error.htm', {'error': status})
response = responder(error_view, 'text/html', status)
return response
def post(self, query, postdata):
"""
Posting to crawl (AKA /) requests spider(s) to crawl each of the
specified webpages.
Arguments:
query: dict having optional depth=n, where the default is 2.
postdata: form-urlencoded string must contain newline-separated URLs
assigned to a 'urls' variable.
Returns: HTTP 202 Accepted or 400 Bad Request.
"""
if 'urls' in postdata:
urls = postdata['urls'][0].splitlines()
else:
return http_error('400 Bad Request')
try:
depth = int(query['depth'])
except KeyError:
depth = 2
# Register all URLs with this job even if their results are cached.
# This allows jobs to be stopped and resumed.
self.webpages_model.register_job(self.job_id, urls)
# Iterate through a copy of urls, since items may be removed from it.
for url in urls[:]:
status = self.webpages_model.get_status(url)
webpage_info = self.webpages_model.get_webpage_info(url)
if 'processing' == status and depth > webpage_info['depth']:
self.spiders_model.stop(url)
elif webpage_info['completion_datetime']:
# Ignore webpages with good depth crawled less than 15 min ago.
now = datetime.datetime.now()
td = now - webpage_info['completion_datetime']
if 900 > td.total_seconds() and depth <= webpage_info['depth']:
urls.remove(url)
self.webpages_model.add(urls, depth=depth)
self.spiders_model.deploy(self.job_id)
crawl_view = view('crawl.json', {'job_id': self.job_id})
return responder(crawl_view, 'application/json', '202 Accepted')
def delete(self, query=None):
"""
Delete the specified URL, all related images, and all crawled children
of that URL from the datastores.
Arguments:
query values:
url: string URL.
Returns: HTTP 204 or 404.
"""
if not 'url' in query:
return http_error('400 Bad Request')
if self.webpages_model.delete(query['url']):
return responder(None, None, '204 No Content')
else:
return http_error('404 Not Found')
def post(self, query, postdata):
"""
Send an abort-crawl request.
Arguments:
query: dict query having the following parameter:
job_id: integer Job ID.
postdata: Ignored.
Returns: None
"""
job_id = query['job_id']
if self.jobs_model.job_exists(job_id):
self.spiders_model.stop(job_id)
return responder(None, None, '202 Accepted')
else:
return http_error('404 Not Found')
def delete(self, query=None):
"""
Delete the specified URL, all related images, and all crawled children
of that URL from the datastores.
Arguments:
query values:
url: string URL.
Returns: HTTP 204 or 404.
"""
if not 'url' in query:
return http_error('400 Bad Request')
if self.webpages_model.delete(query['url']):
return responder(None, None, '204 No Content')
else:
return http_error('404 Not Found')
def post(self, query, postdata):
"""
Send an abort-crawl request.
Arguments:
query: dict query having the following parameter:
job_id: integer Job ID.
postdata: Ignored.
Returns: None
"""
job_id = query["job_id"]
if self.jobs_model.job_exists(job_id):
self.spiders_model.stop(job_id)
return responder(None, None, "202 Accepted")
else:
return http_error("404 Not Found")
def get(self, query=None):
"""
Get a list of result images from a given web crawl.
Arguments:
query values:
job_id: integer job id.
Returns: JSON list of URLs referencing found image files.
"""
if not 'job_id' in query and not 'url' in query:
return http_error('400 Bad Request')
if int == type(query['job_id']):
images = self.images_model.get_by_job_id(query['job_id'])
else:
images = self.images_model.get_by_url(query['url'])
result_view = view('result.json', {'images': json.dumps(images)})
return responder(result_view, 'application/json')
def get(self, query=None):
"""
Get the status of crawling a given URL.
Arguments:
query: Integer job_id, job_id=<JOB_ID> assignment, or
url=<URL> assignment.
Returns: JSON spider status
"""
url = query['url'] if 'url' in query else None
job_id = query['job_id'] if 'job_id' in query else None
job_id_specified = int == type(job_id)
webpage_id = None
if url:
webpage_id = self.webpages_model.get_webpage_info(url)['id']
if not url and not job_id_specified:
return http_error('400 Bad Request')
if job_id_specified and not self.jobs_model.job_exists(job_id):
return http_error('404 Not Found')
elif url and not webpage_id:
return http_error('404 Not Found')
if job_id_specified:
urls = json.dumps(self.jobs_model.get_init_urls(job_id))
job_status = json.dumps(self.jobs_model.get_status(job_id))
else:
urls = json.dumps([url])
get_status = self.jobs_model.get_status
job_ids = self.webpages_model.get_job_ids(url)
job_status_list = [get_status(job_id) for job_id in job_ids]
job_status_list = [status for status in job_status_list if status]
job_status = json.dumps(job_status_list)
status_view = view('status.json', {'urls': urls,
'job_status': job_status})
return responder(status_view)
def get(self, query=None):
"""
Get a list of result images from a given web crawl.
Arguments:
query values:
job_id: integer job id.
Returns: JSON list of URLs referencing found image files.
"""
if not 'job_id' in query and not 'url' in query:
return http_error('400 Bad Request')
if int == type(query['job_id']):
images = self.images_model.get_by_job_id(query['job_id'])
else:
images = self.images_model.get_by_url(query['url'])
result_view = view('result.json', {'images': json.dumps(images)})
return responder(result_view, 'application/json')
def goAirportAgent(parent=None, communication_line=None):
import os
import sys
import signal
import ctypes
import multiprocessing
from time import sleep
from threading import Thread
from time import sleep
from random import random
import speech_recognition as sr
import responder
import airportAgent_functions as aaf
r = sr.Recognizer()
# Set
_i = 0
driver = None
_worked = None
currentUserTicket = None
_asking_for_flight = False
_asking_for_lost = False
_asking_for_hotel = False
_asking_for_taxi = False
_hold_number = False
_hold_destination = False
_monitor_stop = 0
if communication_line is None:
communication_line = random()
with open("docs/settings.txt", "r") as f:
settings = [i.rstrip() for i in f.readlines()]
reset_after_being_idle_for = int(settings[7].split(" = ")[-1])
input_device_index = settings[9].split(" = ")[-1]
output_device_index = settings[10].split(" = ")[-1]
offline_text_to_speech = int(settings[0].split(" = ")[-1].rstrip())
aaf.clearer()
print("Please wait...")
def reset():
'''Resets current session's variables and activities'''
global currentUserTicket, _asking_for_flight, _asking_for_lost, _asking_for_hotel, _asking_for_taxi, _hold_number, _hold_destination
aaf.cache_clearer()
currentUserTicket = 33
_asking_for_flight = 33
_asking_for_lost = 33
_asking_for_hotel = 33
_asking_for_taxi = 33
_hold_number = 33
_hold_destination = 33
# If it's a ctypes object, treat it differently
if "sharedctypes" in str(type(communication_line)):
communication_line.value = "/go_red".encode()
aaf.kill_chrome(driver)
def resetter():
while not _monitor_stop:
sleep(3)
# Reset variables if no user talked to the agent for X seconds
if (responder.last_activity +
reset_after_being_idle_for) > aaf.current_seconds():
pass
else:
reset()
# Realtime monitoring whether if the agent is idle.
Thread(target=resetter).start()
while 1:
try:
# Set listening port
# if 'auto' .. try all indexes till you find one working.
# if already set to an index, then use that.
with sr.Microphone(device_index=(_i if input_device_index.lower(
) == "auto" else int(input_device_index))) as source:
print("Input Device Index:",
(str(_i) + " (auto)" if input_device_index.lower()
== "auto" else int(input_device_index)))
print("Output Device Index:", output_device_index)
_worked = _i # If no error raised at device_index=_i,
# then the said _i is a source of voice input
aaf.clearer() # Clear the screen
print("Listening...")
# if agent launched without animations
if not communication_line:
aaf.cache_clearer()
while 1: # Keep listening
# Filter noise
r.adjust_for_ambient_noise(source)
# Listen to the port (the source)
audio = r.listen(source)
try:
# Send then hold what Googgle's Speech-to-Text returns
text = r.recognize_google(audio)
# Respond or do an action
refresh_vars = responder.responder(
text, communication_line,
(aaf.say2 if offline_text_to_speech else aaf.say1),
aaf.clearer, currentUserTicket, _asking_for_flight,
_asking_for_lost, _asking_for_hotel,
_asking_for_taxi, _hold_number, _hold_destination)
# Refresh variables
currentUserTicket = refresh_vars[0]
_asking_for_flight = refresh_vars[1]
_asking_for_lost = refresh_vars[2]
_asking_for_hotel = refresh_vars[3]
_asking_for_taxi = refresh_vars[4]
_hold_number = refresh_vars[5]
_hold_destination = refresh_vars[6]
driver = refresh_vars[7]
# Reset if Idle for more than X seconds
# Exit from the listening loop if the session ended
except SystemExit:
# Let resetter know that execution stopped
_monitor_stop = 1
# clear current session's activity
aaf.cache_clearer()
# exit chrome if currently working
if driver:
aaf.kill_chrome(driver)
# Remove voice outputs
output_file = 'output_' + str(id(communication_line))
if os.path.exists(
os.path.join(os.getcwd(),
output_file + ".wav")):
os.remove(
os.path.join(os.getcwd(),
output_file + ".wav"))
if os.path.exists(
os.path.join(os.getcwd(),
output_file + ".mp3")):
os.remove(
os.path.join(os.getcwd(),
output_file + ".mp3"))
# kill parent (Animations; If initialized from there)
if parent:
os.kill(parent, signal.SIGTERM)
# kill self
os.kill(os.getpid(), signal.SIGTERM)
# Handle the error if voice was not recognized
except sr.UnknownValueError:
print("Sorry I didn't hear that. Can you repeat that?")
except Exception as e:
print(e)
sleep(5)
# Inform the user if the device at index of '_i' was not found
except AssertionError:
print(f"Device at device_index={_i} was not found, trying another"
" one.")
sleep(3)
# Check if the input source is being used by another device
except OSError as e:
if e.errno == -9998:
aaf.clearer()
print(f"device_index at {_i} is being used by another program"
" or not available. Trying another one")
sleep(2)
else:
print(e)
sleep(2)
# If no input device found at index of '_i', then try another one
if _worked is None and input_device_index.lower() == "auto":
_i += 1
# If it wasn't auto, and reached this place, then the above while
# already finished exectuing, therefore, break.
else:
break
def goSofia():
import os
import sys
from time import sleep
import speech_recognition as sr
import responder
import sofia_functions as sf
r = sr.Recognizer()
_breaker = 0
_i = 0
_worked = None
while True:
try:
# Set listening port
with sr.Microphone(device_index=_i) as source:
_worked = _i # If no error raised at device_index=_i,
# then said _i is a source of voice input
sf.clearer() # Clear the screen
print("Listening...")
sf.cache_clearer() # Clear the past session's data
while 1: # Keep listening
# Filter noise
r.adjust_for_ambient_noise(source)
# Listen to the port(The source)
audio = r.listen(source)
try:
# Send then hold what Googgle's Speech-to-Text returns
text = r.recognize_google(audio)
# Respond or do an action
responder.responder(text, sf.say1, sf.clearer)
# Exit from Listening loop if session ended
except SystemExit:
_breaker = 1 # End the main loop
break # Break listening loop
# Handle it if voice was not recognized
except sr.UnknownValueError:
print("Sorry I didn't hear that. Can you repeat that?")
except Exception as e:
print(e)
# Inform the user if the device at index of '_i' was not found
except AssertionError:
print(
f"Device at device_index={_i} was not found, trying another one."
)
sleep(3)
# Check if Sofia already running in another window
except OSError as e:
if e.errno == -9998:
sf.clearer()
print("Sofia already running.")
break
else:
print(e)
if _breaker == 1:
break
# If no input device found at index of '_i', then try another one
if _worked is None:
_i += 1
sf.cache_clearer()
def __init__(self): self.exitQ=exitQueue() signal.signal(signal.SIGINT, stopMe) self.responder=responder.responder() self.dispatcher=responder.dispatcher()
