def get_quotes():
"""Gets quotes from brainyquote.com and stores them (in the presence of internet).
Gracefully returns if offline.
"""
topics = [
'war',
'learning',
'leadership',
'knowledge',
'technology',
'nature',
'great',
'inspirational'
]
for topic in topics:
try:
page = requests.get('https://www.brainyquote.com/topics/{}'.format(topic))
tree = html.fromstring(page.content)
q = tree.xpath('//a[@title="view quote"]/text()')
for quote in q:
try:
insertion_res = persistence.insert_quote(quote)
logging.info(insertion_res)
except ValueError as e:
logging.debug(quote)
pass
except Exception as e:
rollbar.report_exc_info()
logging.error(str(e))
return
database_cleanse = StoppableThread(target=clean_db, args=(True,))
database_cleanse.daemon = True
database_cleanse.start()
def fetch_and_display_images(subject, image_urls=[]):
if image_urls == []:
try:
logging.info(f'Extracting image urls for: {subject}')
res = wikipedia.page(subject)
image_urls = res.images
logging.info(f'Got image urls: {image_urls}')
except Exception as e:
logging.error(e)
return
render_images = StoppableThread(target=display_manager.fetch_images, args=(subject, image_urls,))
render_images.daemon = True
render_images.start()
def command_handler(user_input):
kernel.setPredicate("name", os.environ['LUNA_USER'])
command = user_input.lower()
try:
if command == 'lets be serious':
wolfram()
if command == 'help':
utils.help_center()
elif (command.startswith('what is the distance between ')
or command.startswith('distance between')):
end = command.find(' and ')
start = command.find(' between ')
x = command[start + 9:end]
y = command[end + 5:]
utils.groundDistance(x, y)
return
elif 'resource' in command:
utils.find_external_resource()
return
elif command == 'newscatcher' or command == 'nc':
nc_handler.main()
return
elif command == 'search quotes':
# display_manager.quote_search()
return
elif command.lower().strip().startswith('search '):
listing_handler.list_search_results(command[7:])
elif command.lower() == 'insert quote':
result = data_manager.insert_quote_from_user()
handle_persistence_response(result, True)
return
elif command == 'reading list':
listing_handler.list_table('random')
return
elif command == 'latency':
render_latency_chart = StoppableThread(target=utils.latency)
render_latency_chart.daemon = True
render_latency_chart.start()
return
elif command == 'clear':
os.system('clear')
return
elif command.startswith('extract '):
extraction_list = command[8:]
targets = extraction_list.split(',')
formatted_parameters = ''
for target in targets:
formatted_parameters += f"'{target.strip()}' "
os.system(
f'gnome-terminal -e "python functions/extractor/extractor.py {formatted_parameters}"'
)
return
# todo: run without tagging. Also find a way to remove entries from text file after extraction.
# elif command.lower() == 'run passive extraction':
# targets = utils.fetch_passive_extraction_list()
# os.system(f'gnome-terminal -e "python functions/extractor/extractor.py {targets}"')
# return
elif command.startswith('play me some '):
utils.media_player(command[13:])
return
elif command == 'data stats':
H()
sprint('Listing database item counts\n')
sprint(
'| ' +
f'{ Style.BRIGHT + Fore.YELLOW + "INTEL" + Fore.RESET + Style.RESET_ALL + " (Total: " + str(persistence.get_db_count("intelligence")) + ")" }'
)
tags = persistence.fetch_distinct_tags()
space = len(sorted(tags, key=len)[-1]) + 10
for tag in sorted(tags):
count = persistence.tag_count(tag)[0]
if count > 1 and tag != 'intelligence':
print(' - %s%s: %s' % (tag.title().replace('_', ' '),
(' ' * (space - len(tag))), count))
sprint(
'| ' +
f'{ Style.BRIGHT + Fore.YELLOW + "FILES" + Fore.RESET + Style.RESET_ALL + " (Total: " + str(persistence.get_db_count("texts")) + ")" }'
)
sprint(
'| ' +
f'{ Style.BRIGHT + Fore.YELLOW + "ARCHIVES" + Fore.RESET + Style.RESET_ALL + " (Total: " + str(persistence.get_db_count("archive")) + ")" }'
)
return
elif command.startswith('how do i pronounce'):
try:
transformed = num_word_transform.number_to_words(command[19:])
H()
sprint(transformed)
return
except Exception as e:
H()
sprint(str(e))
return
elif command == 'banner':
banners = ['db_banner2.py',
'db_banner3.py'] # for future: add other banners here
os.system('python3 ./resources/banners/%s' %
random.choice(banners))
return
elif command.startswith('find the') and 'root' in command:
utils.find_root(command)
return
elif command.lower().startswith('list '):
table = command[5:].strip(' ')
listing_handler.list_table(table)
return
# todo: complete and refine implementation
elif command == 'merge all relations':
H()
sprint(
'Merging all unprotected intel relations. This may take a while.'
)
result = persistence.merge_all_relations_by_tag()
logging.debug(result)
handle_persistence_response(result)
return
elif (command.lower().startswith('merge ')
and command.lower() != 'merge all relations'):
tag = command[6:].replace(' ', '_')
result = persistence.merge_relation_by_tag(tag)
handle_persistence_response(result)
return
elif command.lower().startswith('pin'):
table = 'intelligence'
tag = 'PIN_TO_START'
document_to_be_tagged = command[4:].strip(' ')
result = persistence.update_doc_flags(table, document_to_be_tagged,
tag)
handle_persistence_response(result)
return
elif command.lower() == 'clear pins':
result = persistence.clear_all_pins()
handle_persistence_response(result)
return
elif 'population density' in command:
utils.population_density()
return
elif 'terminal' in command:
H()
sprint('Terminal open.')
display_manager.terminal_session()
return
elif command == 'htop':
os.system('htop')
return
elif command == 'clean swap':
logging.info('attempting to transfer swap memory to RAM')
print('')
os.system('sudo swapoff -a && sudo swapon -a')
logging.info('Swap cleansed.')
H()
sprint('Swap cleansed.')
return
elif command == 'clean db':
onboarding.clean_db()
return
elif 'network diagnostic' in command or command == 'netdog':
print('')
os.system('sudo nmcli radio wifi off')
logging.debug('Turning wifi off.')
os.system('nmcli radio wifi on')
logging.debug('Turning wifi on.')
os.system('sudo service network-manager restart')
logging.debug('Restarting network manager.')
H()
sprint('Diagnosis complete. Counter-measures deployed.')
return
elif command == 'whats my ip':
H()
os.system('dig +short myip.opendns.com @resolver1.opendns.com')
return
elif 'all systems shutdown' in command:
if os.environ['LUNA_USER'] == 'FRTNX':
try:
os.system('sudo shutdown now')
except KeyboardInterrupt:
return
except Exception as e:
H()
print(e)
return
else:
H()
sprint(random.choice(DoA))
return
elif command.startswith('convert'):
utils.converter(command)
return
elif 'reboot all systems' in command:
# refine condition to only execute when called by primary user
if os.environ['LUNA_USER'] == 'FRTNX':
try:
os.system('sudo reboot now')
except KeyboardInterrupt:
return
except Exception as e:
H()
print(e)
return
else:
H()
sprint(random.choice(DoA))
return
elif command.startswith('show me all '):
utils.nearby(command[12:])
return
elif command.startswith('dict'):
utils.dictionary()
return
elif 'fibonacci' in command:
utils.laFibonacci()
return
elif 'koan' in command:
utils.zen()
return
elif command == 'history':
print('')
os.system('sudo python3 herodotus.py')
return
elif 'exit' in command:
H()
sprint(random.choice(farewell_responses))
logging.warn('shutting down...')
exit()
else:
H()
sprint(kernel.respond(command))
result = persistence.insert_session_data(command)
logging.info(result)
return
except Exception as e:
rollbar.report_exc_info()
H()
print(e)
return
num_word_transform = inflect.engine()
kernel = aiml.Kernel()
spine = './brain/'
try:
brn = os.listdir(spine)
kernel.loadBrain(spine + brn[0])
except Exception as e:
rollbar.report_exc_info()
logging.error(e)
logging.error("I'm brainless.")
load_character = StoppableThread(target=utils.character_loader,
args=(kernel, ))
load_character.daemon = True
load_character.start()
coords = StoppableThread(target=utils.get_coords)
coords.daemon = True
coords.start()
def resolveListOrDict(variable):
if isinstance(variable, list):
return variable[0]['plaintext']
else:
return variable['plaintext']
def search_wolfram(command):
def intent_and_entity_rerouter(text):
logging.info('Intent classifier received: %s' % text)
for ignorable in nlu_ignore:
if (text.lower().startswith(ignorable)):
command_handler(text)
return True
THRESHOLD = 0.75
try:
nlu_response = func_timeout(1, nlu_parser, args=(text, ))
except (FunctionTimedOut, Exception) as e:
logging.error(f'Error getting NLU data: {e}')
return False
logging.debug('Intent classifier response: %s' % nlu_response)
if nlu_response['intent']['confidence'] >= THRESHOLD:
intent = nlu_response['intent']['name']
entities = nlu_response['entities']
has_entities = isinstance(entities, list) and len(entities) > 0
if intent == 'get_weather':
logging.info(
'Weather request acknowledged. Sending through designated path.'
)
if entities:
weather.get_weather(False, False, *[entities[0]['value']])
else:
weather.get_weather()
return True
elif intent == 'find_info' and has_entities:
# TODO: consider how to make images and local lookup optional
# possible intents: toggle_image_display (translated entities: on/off); toggle_air_gap (grants or removes Luna's access to the internet,
# and, more importantly, the internets access to Luna)
action = intel_handler.informant(entities[0]['value'].title(),
True, 0, False)
logging.info(f'Caller received action: {action}')
if action:
handle_user_input(action)
return True
elif intent == 'find_images':
if utils.is_online():
entity = entities[0]['value']
try:
image_urls = wikipedia.page(entity).images
render_images = StoppableThread(
target=display_manager.fetch_images,
args=(
entities[0]['value'],
image_urls,
))
render_images.daemon = True
render_images.start()
H()
sprint(random.choice(pending_image_search_responses))
except Exception as e:
logging.error(e)
H()
sprint('For some reason I could not comply.')
else:
H()
sprint('I need an internet connection to comply.')
return True
elif intent == 'find_related_info' and has_entities:
utils.find_related(entities[0]['value'])
return True
elif intent == 'directions' and has_entities:
origin = None
destination = None
for entity in entities:
if entity['entity'] == 'source':
origin = entity['value']
elif entity['entity'] == 'destination':
destination = entity['value']
logging.info(
'Parsing direction query with destination: %s and origin: %s' %
(destination, origin))
if destination:
utils.directions(destination, origin)
else:
H()
sprint('No destination found.')
return True
elif intent == 'find_location' and has_entities:
utils.find_location(entities[0]['value'])
return True
elif intent == 'find_more_info' and has_entities:
action = intel_handler.informant(entities[0]['value'].title(),
False, 0, True)
logging.info(f'Caller received action: {action}')
if action:
handle_user_input(action)
else:
return True
else:
return False
return False
def informant(mark, images=True, latency=0, flesh=False, first_call=True, search_online=False):
"""Looks for specified subject in local database and looks for it on wikipedia if not found.
Also searches for images subject.
params:
mark (string) : the subject/object being sought (e.g., Physics, Barack Obama, Milk, Proximal Policy Optimisation, ...etc)
images (boolean) : look for images on a parallel thread. set to False to disable.
latency (int) : if no data is found locally on subject, the time spent running this process up to this
point is inserted as the value here and this function is called again from within itself,
this time with a flag indicating that the local database is to be ignored and an internet
search to be conducted immediately if possible.
flesh (boolean) : controls whether to display introductory article summary or article detail. Set to True when seeking
article detail and False when only a summary is required.
search_online : if True the local database is ignored and the request goes straight to wikipedia.org
"""
# logging.debug('informant recieved: %s' % mark)
logging.info('Requested document "%s".' % mark)
logging.info(f'Inherited latency: {latency} seconds')
logging.info(f'First call: {first_call}')
logging.info(f'Search online: {search_online}')
global found
if search_online:
render_ellipses = StoppableThread(target=ellipses)
render_ellipses.daemon = True
render_ellipses.start()
if first_call and images and not search_online:
render_images = StoppableThread(target=fetch_and_display_images, args=(mark,))
render_images.daemon = True
render_images.start()
try:
if search_online:
try:
logging.warn('Nature of request requires internet. Attempting to connect')
start = time.time()
res = func_timeout(8, wikipedia.page, args=(mark,))
if first_call and images:
image_urls = res.images
render_images = StoppableThread(target=fetch_and_display_images, args=(mark, image_urls,))
render_images.daemon = True
render_images.start()
content = res.content
title = res.title
slice_limit = content.find('\n\n\n')
reset_prompt()
display_manager.output_prompt(); display_manager.output_prompt(); print(gbullet + '\n')
end = time.time()
logging.info('"%s" found. latency is at %s seconds.' % (title, str(end - start + latency)))
if flesh:
logging.info('Fleshing out requested document.')
action = directive(content, title, slice_limit + 3, *['flesh'])
return action
if 'displaystyle' not in content[:slice_limit] and 'textstyle' not in content[:slice_limit]:
sprint(content[:slice_limit], 0.015)
else:
output_controller(content[:slice_limit])
action = directive(content, title, slice_limit, *['enable-saving'])
logging.info(f'Returning {action} to caller for real this time')
return action
except KeyboardInterrupt as e:
print('\n')
found = True
action = directive(content, title, slice_limit, *['enable-saving'])
return action
except FunctionTimedOut:
end = time.time()
reset_prompt()
logging.error('Request for %s timed out. Request took %s seconds' % (mark, end - start + latency))
display_manager.output_prompt(); display_manager.output_prompt(); sprint('We seem to have a really bad internet connection. Try again when conditions improve.')
return
except wikipedia.PageError as e:
logging.error(e)
reset_prompt()
display_manager.output_prompt(); display_manager.output_prompt(); sprint("I couldnt find anything on %s in my online repositories." % mark)
display_manager.output_prompt(); sprint('Perhaps try a different alias.')
return
except wikipedia.DisambiguationError as e:
logging.error(e)
reset_prompt()
display_manager.output_prompt(); display_manager.output_prompt(); sprint("'%s' refers to too many things. Try being more specific." % mark)
return
except Exception as e:
logging.error(e)
reset_prompt()
# todo: resolve malfomrmed output here
display_manager.output_prompt(); display_manager.output_prompt(); sprint(random.choice(bad_connection_responses))
rollbar.report_exc_info()
utils.queue_for_extraction(mark)
return
else:
try:
start = time.time()
content = func_timeout(2, persistence.get_document, args=('intelligence', mark,))
slice_limit = content.find('\n\n\n')
end = time.time()
logging.info('"%s" found. latency is at %s seconds.' % (mark, str(end-start+latency)))
display_manager.output_prompt(); sprint(bullet + "\n")
if flesh:
logging.info('Fleshing out requested document.')
action = directive(content, mark, slice_limit + 3, *['flesh'])
return action
if 'displaystyle' not in content[:slice_limit] and 'textstyle' not in content[:slice_limit]:
sprint(content[:slice_limit], 0.015)
else:
output_controller(content[:slice_limit])
action = directive(content, mark, slice_limit, *['savenot'])
return action
except KeyboardInterrupt as e:
print('\n')
action = directive(content, mark, slice_limit, *['savenot'])
return action
except FunctionTimedOut:
end = time.time()
logging.error('Could not find requested document locally within acceptable time.')
logging.warning('Attempting to find requested document online.')
informant(mark, False, end-start, flesh, False, *['engagethehive'])
return
except TypeError:
end = time.time()
logging.error('Could not find requested document locally.')
logging.warning('Attempting to find requested document online.')
informant(mark, False, end-start, flesh, False, True)
return
except Exception as e:
logging.error(e)
rollbar.report_exc_info()
return
except KeyboardInterrupt as e:
return
except Exception as e:
logging.debug(str(e))
return
def setup_thread(database):
thread = StoppableThread(name='t1', target=t1, args=(database, ))
thread.daemon = True
return thread