def _start_browser(lock=_browser_lock):
global _browser
_quit_browser(lock=lock)
with lock:
if cc.feedback_on_commands():
feedback("Opening a new browser, just a moment...")
_browser = Firefox(executable_path=os.path.join(get_my_directory(), "drivers", "geckodriver.exe"))
def feedback_for_team(team, is_multi):
commands = param_str.replace(team['name'], '').replace(team['slug'], '').strip().split(' ')
output = []
# autocomplete the valid commands
if valid_commands.count(commands[0]) == 0:
output = ac_commands(team, is_multi, commands[0])
# Display tasks
elif commands[0] == 'tasks':
tasks = api.cache_method('/me/tasks', team['id'])
title = ' '.join(commands[1:]).strip()
if len(commands) > 1 and len(title) > 0:
output.append(feedback.item(title='Create: ' + title, valid=True, arg='create:' + team['id'] + ':' + title, icon=icon_path(team)))
tasks = fuzzy.fuzzy_search(title, tasks, lambda x: '%s' % (x['title']))
elif len(tasks) == 0:
output.append(feedback.item(title='You have no tasks', valid=False, icon=icon_path(team)))
for task in tasks:
output.append(feedback.item(title="Task: " + task['title'], valid=True, arg='ship:' + team['id'] + ':' + task['id'], icon=icon_path(team)))
elif commands[0] == 'notifications':
members = settings.get('members', [])
notifications = api.cache_method('/me/notifications', team['id'])
if len(notifications) == 0:
output.append(feedback.item(title='You have no notifications', valid=False, icon=icon_path(team)))
for n in notifications:
m = [member for member in members if member['id'] == n['who']]
if len(m) >= 1:
icon = icon_path_member(m[0])
else:
icon = icon_path(team)
output.append(feedback.item(title=n['title'], subtitle=n['body'], valid=False, icon=icon))
feedback.feedback(output)
def algoritme1(): # hij werkt nog niet helemaal
pogingen = 0
geheim = input('Geef je 4 random getallen tussen de 0-5 ')
geheime_lijst = [int(x) for x in geheim]
lijst = []
for i in range(0, 6):
for j in range(0, 6):
for k in range(0, 6):
for l in range(0, 6):
lijst.append([i, j, k, l])
new_list = lijst[:]
for x in lijst:
pogingen += 1
a = random.choice(lijst)
mogelijkheid = feedback(a, geheime_lijst)
checken = feedback(x, geheime_lijst)
if checken != mogelijkheid:
new_list.remove(x)
print(a)
elif lijst != 1:
print('Computer Heeft het geraden binnen: ' + str(pogingen) +
' pogingen')
break
if pogingen <= 10:
print('Computer is de nieuwe mastermind! ')
elif pogingen > 10:
print('Computer heeft zijn dag niet ')
def ac_teams(user_teams, query=''):
output = []
for team in user_teams:
output.append(feedback.item(title=team["name"], valid=False, autocomplete=team["name"] + ' ', icon=icon_path(team)))
if query != '':
output = fuzzy.fuzzy_search(query, output, lambda x: '%s' % (x['content']['title']))
feedback.feedback(output)
def feedback(self, has_node):
if has_node:
title = "Node is available!"
else:
title = "Node is not found, please set its path!"
item = Item(uid="node", valid="no", title=title, icon="nodejs.png")
feedback(item)
def play_video(url: str, identifier: str = None):
'''Plays the video found at given URL in a standalone media player.
Currently throws exceptions on invalid input.
'''
feedback("Starting up '", identifier, "'")
#if "youtubetest" in urlparse(url).netloc.lower():
# _play_youtube_video(url=url, identifier=identifier)
#else:
if validators.url(url):
_play_media(link=url)
def _circuit_protocol(state, m, n_m, mode, return_outcome=0):
"""
Do the protocol in arxiv/1506.05033, Fig 5 on a state using the circuit
Args:
state: Qutip state, initial state
H: Does nothing here, makes it easier to swap between the two protocols
n_m: Binary List, bit-string of results. n_m[m] is the m-th round.
m: current round, starting at 0
mode: mode used for feedback, see feedback.feedback()
Returns:
Qutip state
"""
phi = fb.feedback(m, n_m, mode)
state = hadamard * state
state = controlled_zgate(displace(N, np.sqrt(np.pi/2))) * state
state = hadamard * phasegate_(phi) * state
if return_outcome:
P = expect(nq, state)
if n_m[m-1] == 0:
P = 1-P
state = qubit_reset(state, n_m[m-1])
return state.unit(), P
else:
state = qubit_reset(state, n_m[m-1])
return state.unit()
def _circuit_protocol(state, m, n_m, mode, return_outcome=0):
"""
Do the protocol in arxiv/1506.05033, Fig 5 on a state using the circuit
Args:
state: Qutip state, initial state
H: Does nothing here, makes it easier to swap between the two protocols
n_m: Binary List, bit-string of results. n_m[m] is the m-th round.
m: current round, starting at 0
mode: mode used for feedback, see feedback.feedback()
Returns:
Qutip state
"""
phi = fb.feedback(m, n_m, mode)
state = hadamard * state
state = controlled_zgate(displace(N, np.sqrt(np.pi / 2))) * state
state = hadamard * phasegate_(phi) * state
if return_outcome:
P = expect(nq, state)
if n_m[m - 1] == 0:
P = 1 - P
state = qubit_reset(state, n_m[m - 1])
return state.unit(), P
else:
state = qubit_reset(state, n_m[m - 1])
return state.unit()
def _open_tab(url:str="", lock=_browser_lock, recurse=True):
global _browser
if not recurse:
feedback("_open_tab failed on second try")
raise EnvironmentError
with lock:
try:
handles_before = _browser.window_handles
_browser.execute_script(''.join(("window.open('", url, "')")))
new_handle = [handle for handle in _browser.window_handles if handle not in handles_before][0]
_browser.switch_to.window(new_handle)
load_cookies()
except:
#_browser was closed by an outside force
_start_browser(lock=_Lock_Bypass())
_open_tab(url=url, lock=_Lock_Bypass(), recurse=False)
def __init__(self):
self.EMAIL_LOG_NAME = 'email_log.ini'
self.cr = config_reader()
self.email_config = self.cr.get_email_settings()
self.email_log_dir = self.cr.get_email_log()
self.feedback = feedback()
self.late_submission_list = late_submit_checker().late_submitter_log()
self.late_penalty = int(self.cr.get_late_submit_penalty())
def __init__(self):
cmd2.Cmd.__init__(self)
self.cr = config_reader()
self.utility = utility()
self.feedback = feedback()
self.statistics = statistics()
self.es = email_sender()
self.late_submit_checker = late_submit_checker()
os.chdir('ASSIGNMENTS')
def Form():
result = request.form
#print(result)
obj = feedback()
ans = obj.insertfeedback(**result)
if ans == True:
return render_template("EmployeeSatisfaction.html", post=True)
else:
return render_template("EmployeeSatisfaction.html", post=False)
def _open_browser(url:str=None, lock=_browser_lock):
'''Opens a browser, or a new tab if already open.
Goes to given URL if specified.
'''
global _browser
try:
new_url = _DEFAULT_SITE
if url:
new_url = url
with lock:
if not _browser:
_start_browser(lock=_Lock_Bypass())
_browser.get(new_url)
load_cookies()
else:
_open_tab(url=new_url, lock=_Lock_Bypass())
if cc.feedback_on_commands():
feedback(''.join((_browser.title, " is open.")))
except:
traceback.print_exc()
return True
def store_location(self, url:str, path_name:str=None):
'''Stores the given URL as the given name.
If no name is given only stores the domain, and also the query pattern if it is in the url.
'''
if not validate_url(url):
feedback("Url fails validation")
raise ValueError
parsed_url = urlparse(url)
# store scheme
if not self._base:
self._base = '://'.join((parsed_url.scheme, parsed_url.netloc))
# store domain
if not self.domain:
self._domain = parsed_url.netloc
if not self.domain in parsed_url.netloc:
feedback("Non-matching domain")
raise ValueError
# store query pattern
self._store_query_pattern(parsed_url=parsed_url)
# store path
if not path_name:
return
self._paths[path_name] = parsed_url.path
def main():
while True:
if mode == 'tasklist':
tasks.print_all_tasks()
break
elif mode == 'eventlist':
events.print_all_events()
break
elif mode == 'add':
scheduler.add_event_and_task_to_db(title)
break
elif mode == 'feedback':
feedback.feedback()
break
elif mode == 'build_db':
tasks.createTasksTable()
break
elif mode == 'rebuild_db':
tasks.recreate_tasks_table()
break
else:
# WASNT IMPLEMENTED YET
print('What would you like to do?')
break
def _time_evolution_protocol(state,
m,
n_m,
mode,
H,
noise_ops,
return_outcome=0):
"""
Do the protocol in arxiv/1506.05033, Fig 5 on a state using time-evolution
The circuit for the controlled displacement using time-evolution can be
found in the same paper, Fig 10
Args:
state: Qutip state, initial state
H: Hamiltonian used for time evolution
n_m: Binary List, bit-string of results. n_m[m] is the m-th round.
m: current round, starting at 0
mode: mode used for feedback, see feedback.feedback()
Returns:
Qutip state
"""
phi = fb.feedback(m, n_m, mode)
state = hadamard * state
state = mesolve(H,
state, [np.pi / (2 * chi)],
noise_ops, [],
options=Odeoptions(nsteps=5000)).states[-1]
state = displace_(-1j * np.sqrt(np.pi / 2)) * sx * state
state = mesolve(H,
state, [np.pi / (2 * chi)],
noise_ops, [],
options=Odeoptions(nsteps=5000)).states[-1]
state = hadamard * phasegate_(phi) * sx * state
state = state.unit()
if return_outcome:
P = expect(nq, state)
if n_m[m - 1] == 0:
P = 1 - P
state = qubit_reset(state, n_m[m - 1])
return state.unit(), P
else:
state = qubit_reset(state, n_m[m - 1])
return state.unit()
def run():
wrap_problems()
output = {}
for problem in get_problems():
output[problem.__name__] = {}
try:
output[problem.__name__]['result'] = problem()
output[problem.__name__]['error'] = None
output[problem.__name__]['locals'] = problem.locals
except Exception as ex:
output[problem.__name__]['result'] = None
output[problem.__name__]['locals'] = None
output[problem.__name__]['error'] = ex
output[problem.__name__]['feedback'] = feedback.feedback(problem, output[problem.__name__])
show_problem(problem, output[problem.__name__])
import game
game.run(output)
def _time_evolution_protocol(state, m, n_m, mode, H, noise_ops,
return_outcome=0):
"""
Do the protocol in arxiv/1506.05033, Fig 5 on a state using time-evolution
The circuit for the controlled displacement using time-evolution can be
found in the same paper, Fig 10
Args:
state: Qutip state, initial state
H: Hamiltonian used for time evolution
n_m: Binary List, bit-string of results. n_m[m] is the m-th round.
m: current round, starting at 0
mode: mode used for feedback, see feedback.feedback()
Returns:
Qutip state
"""
phi = fb.feedback(m, n_m, mode)
state = hadamard * state
state = mesolve(H, state, [np.pi/(2*chi)], noise_ops, [],
options=Odeoptions(nsteps=5000)).states[-1]
state = displace_(-1j * np.sqrt(np.pi/2)) * sx * state
state = mesolve(H, state, [np.pi/(2*chi)], noise_ops, [],
options=Odeoptions(nsteps=5000)).states[-1]
state = hadamard * phasegate_(phi) * sx * state
state = state.unit()
if return_outcome:
P = expect(nq, state)
if n_m[m-1] == 0:
P = 1-P
state = qubit_reset(state, n_m[m-1])
return state.unit(), P
else:
state = qubit_reset(state, n_m[m-1])
return state.unit()
def main():
#set counter to 0
counter = 0
# is this a category-only mission
catmission = False
#create stack for status histories
statushistory = deque([], 50)
#create emotion table
emotions = Emotion(9)
emotions.create_area("angry", 0, 0, 2, 2)
emotions.create_area("frustrated", 0, 3, 2, 5)
emotions.create_area("sad", 0, 6, 2, 8)
emotions.create_area("bored", 3, 0, 5, 8)
emotions.create_area("excited", 6, 0, 8, 2)
emotions.create_area("happy", 6, 3, 8, 5)
emotions.create_area("ok", 6, 6, 8, 8)
# primary status, possibilities are: idle = waiting for customers, mission = on a mission, advising = telling where the book is, feedback = waiting for or reacting to feedback
robot_status = "idle"
print("ROBOT STATUS: " + robot_status)
while True:
#get robot status
status = mir_calls.get_mir_status()
if (counter % 1 == 0):
statushistory.append(status)
print("counter: " + str(counter) + " status: " + status)
counter = counter + 1
print("debug: checking if we are on a mission")
### ON A MISSION? if yes, call the related logic in travel.py, and skip cycle
if robot_status == 'shelfmission':
mir_status = travel.move()
print("debug: shelf mission in progress, mir state: " + mir_status)
if mir_status == 'Ready':
print("debug: shelf-mission has been accomplished")
print("debug: wait for 5 seconds")
if catmission == True:
print("DEBUG: catmission true, cat " + category)
if category == '79000':
switch_flask_view('r')
if category == '46900':
switch_flask_view('r')
if category == '69110':
switch_flask_view('lr')
if category == '85000':
switch_flask_view('r')
if category == '99000':
switch_flask_view('l')
if category == '90000':
switch_flask_view('l')
time.sleep(10)
mir_calls.add_to_mission_queue(
"beb5b742-341b-11e9-a33f-94c691a3a93e")
robot_status = 'homing'
time.sleep(2)
#eyes.lookDown()
catmission = False
sierra.update_target_time()
continue
# FLASK: display arrow to left or right
side = find_side_by_category(category, "column")
switch_flask_view(side)
print("debug: the book could be on the " + side + " side")
# if side == 'r':
#eyes.lookLeft()
#if side == 'l':
#eyes.lookRight()
time.sleep(5)
# the category should be mapped to a physical oodi position recognised by the mir robot
print("debug: move to the correct column")
positionguid = str(
find_position_by_category(category, "column"))
print(
"debug: position guid for category column from database is "
+ positionguid)
# if we have a position, we can create a mission
mir_calls.modify_mir_mission(positionguid)
# add the modified travel mission to the queue
mir_calls.add_to_mission_queue(
"2e066786-3424-11e9-954b-94c691a3a93e")
# set the robot status to be on a mission
robot_status = 'columnmission'
switch_flask_view("blank")
# give the MiR a few seconds to react so we enter the correct state (mission executing)
time.sleep(2)
time.sleep(1)
continue
if robot_status == 'columnmission':
mir_status = travel.move()
print("debug: column mission in progress, mir state: " +
mir_status)
if mir_status == 'Ready':
print("debug: column-mission has been accomplished")
print("debug: wait for 5 seconds")
# FLASK: display arrow to left or right
side = find_side_by_category(category, "column")
switch_flask_view(side)
sierra.update_target_time()
print("debug: the book could be on the " + side + " side")
time.sleep(10)
#switch_flask_view("blank")
# move forward one meter to make room for the customer
#mir_calls.add_to_mission_queue("3ac4fc26-3f3f-11e9-9822-94c691a3a93e")
#time.sleep(10)
# TODO ask for feedback! maybe not?
mir_calls.add_to_mission_queue(
"beb5b742-341b-11e9-a33f-94c691a3a93e")
robot_status = 'homing'
#eyes.lookDown()
time.sleep(5)
time.sleep(1)
continue
if robot_status == 'homing':
mir_status = travel.move()
print("debug: homing in progress, mir state: " + mir_status)
switch_flask_view("home")
if mir_status == 'Ready':
print("debug: homing has been accomplished")
print("debug: enter idle loop")
switch_flask_view("home2")
robot_status = 'idle'
#eyes.lookLeft()
#eyes.lookRight()
#eyes.lookDown()
sierra.update_home_time()
time.sleep(1)
continue
print("debug: checking if we have a new mission")
### NEW MISSION AVAILABLE? if there's a category entry in missions table with status new, we have a new mission
category = check_for_new_mission()
if category is not None:
# a quick hack to allow for the category missions
if category == '79000':
positionguid = 'aac480fd-44d5-11e9-b653-94c691a3a93e'
catmission = True
if category == '46900':
positionguid = '48e76bd3-44d4-11e9-b653-94c691a3a93e'
catmission = True
if category == '69110':
positionguid = '78795881-44d5-11e9-b653-94c691a3a93e'
catmission = True
if category == '85000':
positionguid = 'b955c6f0-4bb0-11e9-98e7-94c691a3a93e'
catmission = True
if category == '99000':
positionguid = 'd8585103-4bb0-11e9-98e7-94c691a3a93e'
catmission = True
if category == '90000':
positionguid = 'eb62e8a2-4bb0-11e9-98e7-94c691a3a93e'
catmission = True
if catmission == True:
print("DEBUG: catmission is true!")
change_mission_status()
# the category should be mapped to a physical oodi position recognised by the mir robot
if catmission == False:
print("debug: received target category is " + category)
change_mission_status()
positionguid = str(find_position_by_category(
category, "shelf"))
print(
"debug: position guid for category shelf from database is "
+ positionguid)
# if we have a position, we can create a mission
mir_calls.modify_mir_mission(positionguid)
# finally add the modified shelf/column mission to the queue
mir_calls.add_to_mission_queue(
"2e066786-3424-11e9-954b-94c691a3a93e")
# set the robot status to be on a mission
robot_status = 'shelfmission'
# give the MiR a few seconds to react so we enter the correct state (mission executing)
time.sleep(3)
# eye movement :D
#eyes.topRoll()
continue
### NO MISSIONS? let's call the related logic in idle.py to attract customers
if robot_status == 'idle':
idle.idle(statushistory, emotions)
time.sleep(1)
continue
if robot_status == "advising":
advise.advise(emotions, "atColumn", "right")
time.sleep(1)
continue
if robot_status == "feedback":
feedback.feedback(emotions, 1, "good")
### NO STATUS, NO NEW MISSION? let's send the robot back to the homebase
print("debug: no status, return to home")
mir_calls.add_to_mission_queue("beb5b742-341b-11e9-a33f-94c691a3a93e")
robot_status = 'homing'
time.sleep(2)
continue
def run_step(job_desc, resources):
"""
Run step (parallel to main thread)
:param job_desc: string, jod id + "_" + step order
:param resources: dictionary, resources required by the step
:return: None
"""
global LATEST_JOB_ID, LATEST_JOB_STEP, CPU_POOL, MEMORY_POOL, DISK_POOL, RUNNING_JOBS
items = job_desc.split('_')
job_id = int(items[0])
step_order = int(items[1])
recheck = forecast_step(job_id, step_order, resources)
if recheck is not True:
return
if settings['program']['feedback'] == 'yes':
try:
from feedback import feedback
feedback(JOB_COMMAND[job_id][0], ' '.join(JOB_COMMAND[job_id][1:]),
JOB_TABLE[job_id]['steps'][step_order]['hash'])
except:
pass
if settings['cluster']['type']:
# for cluster
import clusterSupport
if resources['cpu'] is None:
allocate_cpu = settings['env']['cpu']
else:
predict_cpu = int(round(resources['cpu']) / 100)
if predict_cpu > settings['cluster']['cpu'] or predict_cpu == 0:
allocate_cpu = settings['cluster']['cpu']
else:
allocate_cpu = predict_cpu
if resources['mem'] is None:
allocate_mem = ''
else:
if resources['mem'] > 1073741824:
allocate_mem = str(
int(round(resources['mem'] / 1073741824) + 1)) + 'Gb'
elif resources['mem']:
allocate_mem = ''
else:
allocate_mem = str(
int(round(resources['mem'] / 1048576) + 1)) + 'Mb'
#baseDriver.update(settings['datasets']['job_db'], job_id, 'status', step_order + 1)
try:
job_record = Queue.objects.get(id=job_id)
job_record.set_status(step_order + 1)
except:
pass
return_code = clusterSupport.main(settings['cluster']['type'],
' '.join(JOB_COMMAND[job_id]),
job_id, step_order, allocate_cpu,
allocate_mem,
settings['cluster']['queue'],
JOB_TABLE[job_id]['job_folder'])
if return_code != 0:
error_job(job_id, resources)
else:
# for local environment or cloud
print "Now run %s" % job_desc
print CPU_POOL, MEMORY_POOL, DISK_POOL
try:
log_file = os.path.join(settings["env"]["log"], str(job_id))
log_file_handler = open(log_file, "a")
RUNNING_JOBS += 1
step_process = subprocess.Popen(
JOB_COMMAND[job_id],
shell=False,
stdout=log_file_handler,
stderr=log_file_handler,
cwd=JOB_TABLE[job_id]['job_folder'])
process_id = step_process.pid
if 'trace' in resources.keys():
learn_process = subprocess.Popen([
"python",
os.path.join(root_path, 'mlCollector.py'), "-p",
str(step_process.pid), "-n",
str(JOB_TABLE[job_id]['steps'][step_order]['hash']), "-j",
str(resources['trace'])
],
shell=False,
stdout=None,
stderr=subprocess.STDOUT)
while step_process.poll() is None:
if process_id in psutil.pids():
proc_info = psutil.Process(process_id)
if proc_info.is_running():
job = Queue.objects.get(id=job_id)
if job.ter:
job.status = -3
job.ter = 0
job.save()
proc_info.kill()
error_job(job_id, resources)
RUNNING_JOBS -= 1
return None
time.sleep(30)
log_file_handler.close()
print "Now job %s finished." % job_desc
# finish_step(job_id, step_order, resources)
if step_process.returncode != 0:
RUNNING_JOBS -= 1
error_job(job_id, resources)
else:
RUNNING_JOBS -= 1
finish_step(job_id, step_order, resources)
JOB_TABLE[job_id]['resume'] = step_order
if job_id > LATEST_JOB_ID and (step_order + 1) > LATEST_JOB_STEP:
LATEST_JOB_ID = job_id
LATEST_JOB_STEP = step_order
except Exception, e:
print e
try:
from feedback import feedback_error
feedback_error(JOB_COMMAND[job_id][0],
' '.join(JOB_COMMAND[job_id][1:]), str(e))
except:
pass
RUNNING_JOBS -= 1
error_job(job_id, resources)
def feedback_distribution(self, t, x, a):
return feedback.feedback(t, x, a)
def recieve_message():
#global re_ask
#global re_intent
global store
user_input = request.get_json()
#get user ID to response back
if user_input.get('entry'): #for event in user_input['entry']:
event = user_input['entry'][0]
if event.get('messaging'): #for message in messaging:
message = event['messaging'][0]
if message.get('message'):
#Facebook Messenger ID for user so we know where to send response back to
text = message['message'].get('text')
user_ID = message['sender']['id']
sent_time = time.time() ## current time
if user_ID not in store.keys():
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
else:
break_time = sent_time - store[user_ID]['time']
if break_time > 120: # longer than 2 mins
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
else:
store[user_ID]['time'] = sent_time
if store[user_ID][
're_ask'] == 0 or store[user_ID]['re_ask'] > 1:
store[user_ID]['re_ask'] = 0
new_text = intent_classify.preprocessing(text)
#new_text = TextBlob(text).correct()
#new_text = str(new_text)
intent, intent_acc = intent_classify.intent_classification(
new_text) #### need return a accuracy
store[user_ID]['intent_acc'] = intent_acc
if intent == 'Greetings':
greet_response = [
'Hi, I am here to help you!', 'Hi nice to meet u!',
'Hey there!', 'Yo!', 'Hey, boo!'
]
response = random.choice(greet_response)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else:
server.send_text_message(user_ID, response)
return "Message Processed"
elif intent == 'Goodbye':
bye_response = [
'See you soon!', 'Thanks!', 'ByeBye!',
'Thank you for choosing us!', 'I will miss you!'
]
response = random.choice(bye_response)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else:
server.send_text_message(user_ID, response)
return "Message Processed"
elif intent == 'Name':
name_response = [
'My name is KOBO. :）', 'Please call me KOBO ~',
'I am KOBO ^^'
]
response = random.choice(name_response)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else:
server.send_text_message(user_ID, response)
return "Message Processed"
store[user_ID]['input'] = text
else:
print(store[user_ID])
intent = store[user_ID]['re_intent']
text = store[user_ID]['input'] + ' ' + text
print('new reask text is ' + text)
keyword = keyword_extract.keyword_extraction(intent, text)
print('keyword is ' + str(keyword))
response = retrieve.retrieval_func(keyword)
print('data retrieve is ' + response)
if response == 'Please provide valid courses code.':
if store[user_ID]['keyword'] != {}:
print(store[user_ID])
if store[user_ID]['keyword']['course'] != []:
store[user_ID]['keyword']['intent'] = intent
#print(store[user_ID]['keyword'])
keyword['course'] = store[user_ID]['keyword'][
'course']
response = retrieve.retrieval_func(keyword)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response # + ' ' + str(store[user_ID]['re_ask'])
server.send_button_message(
user_ID, res, button)
else:
store[user_ID]['re_ask'] += 1 #True
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
else:
store[user_ID]['re_ask'] += 1 #True
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
res = response # + ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
elif response[(
len(response) - 39
):] == 'Do you want query one specific stream name?': # == 'Please provide valid stream name.':
if store[user_ID]['keyword'] != {}:
if store[user_ID]['keyword']['stream_name'] != []:
store[user_ID]['keyword']['intent'] = intent
keyword['stream_name'] = store[user_ID]['keyword'][
'stream_name']
response = retrieve.retrieval_func(keyword)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
server.send_button_message(
user_ID, res, button)
else:
store[user_ID]['re_ask'] += 1 #True
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
else:
store[user_ID]['re_ask'] += 1 #True
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
else:
store[user_ID]['re_ask'] = 0
store[user_ID]['keyword'] = keyword
store[user_ID]['re_intent'] = ''
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
####send feed back
server.send_button_message(user_ID, res, button)
elif message.get('postback'):
user_ID = message['sender']['id']
recipient_id = message["recipient"]["id"]
payload = message["postback"]["payload"]
if payload == 'Yes':
res = 'It is good to hear!'
feedback.feedback(user_ID, store[user_ID]['input'],
store[user_ID]['keyword']['intent'])
server.send_text_message(user_ID, res)
elif payload == 'No':
res = 'We will improve soon!'
sent_time = time.time()
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
server.send_text_message(user_ID, res)
elif payload == '1': ### want continue
res = store[user_ID]['response']
if store[user_ID]['re_ask'] == False:
if store[user_ID]['re_intent'] in [
'Greetings', 'Goodbye', 'name'
]:
server.send_text_message(user_ID, res)
else:
server.send_button_message(user_ID, res, button)
else:
#res = store[user_ID]['re_intent'] + ' ' + res + ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
elif payload == '0':
res = 'Please reinput with more details.'
sent_time = time.time()
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
server.send_text_message(user_ID, res)
return "Message Processed"
print(division)
print("step")
print(division.stepnow)
print("back")
out = division.input(answer)
print(out)
stepnow = division.stepnow
if stepnow == step:
return "0" + str(stepnow) + out
return "1" + str(stepnow) + out
ff = feedback.feedback(core)
@app.route('/feedback/question', methods=['get'])
def getquestion():
out = ff.getquestion()
return out
@app.route('/feedback/checkanswer', methods=['post'])
def getanswer():
question_id = int(request.get_json()["question"])
inanswer = request.get_json()["answer"]
def main():
print(
"===================================System active==================================="
)
found_classes = []
while True:
print("Listening...")
r = sr.Recognizer()
m = sr.Microphone()
with m as source:
r.adjust_for_ambient_noise(source)
with m as source:
audio = r.listen(source)
try:
value = r.recognize_google(audio)
temp = classify(value)
if len(found_classes) < 3:
found_classes += temp
else:
found_classes = temp
print found_classes
rooms = ["bedroom", "living_room"]
states = ["on", "off", "value"]
appliances = ["light", "fan", "ac"]
r = [x for x in found_classes if x in rooms]
a = [x for x in found_classes if x in appliances]
s = [x for x in found_classes if x in states]
room = r[0] if r else None
appliance = a[0] if a else None
state = s[0] if s else None
if room == rooms[0]:
if appliance == appliances[0]:
if state == states[0]:
action(0, 1)
elif state == states[1]:
action(0, 0)
else:
say = "Forgot to tell me on or off."
mode = "ask"
feedback(mode, say)
elif appliance == appliances[1]:
if state == states[0]:
action(1, 1)
elif state == states[1]:
action(1, 0)
else:
say = "turn it off or on"
mode = "ask"
feedback(mode, say)
elif appliance == appliances[2]:
if state == states[0]:
action(2, 1)
elif state == states[1]:
action(2, 0)
elif state == state[2]:
action(2, 0.96)
else:
say = "Sorry didn't hear you."
mode = "ask"
feedback(mode, say)
else:
say = "Which appliance?"
mode = "ask"
feedback(mode, say)
elif room == rooms[1]:
if appliance == appliances[0]:
if state == states[0]:
action(3, 1)
elif state == states[1]:
action(3, 0)
else:
say = "turn it off or on"
mode = "ask"
feedback(mode, say)
elif appliance == appliances[1]:
if state == states[0]:
action(4, 1)
elif state == states[1]:
action(4, 0)
else:
say = "Sorry didn't hear you."
mode = "ask"
feedback(mode, say)
elif appliance == appliances[2]:
if state == states[0]:
action(5, 1)
elif state == states[1]:
action(5, 0)
elif state == state[2]:
action(5, 0.48)
else:
say = "Did you forget to tell me on or off."
mode = "ask"
feedback(mode, say)
else:
say = "Which appliance"
mode = "ask"
feedback(mode, say)
else:
say = "What's the room you say?"
mode = "ask"
feedback(mode, say)
except sr.UnknownValueError:
say = "Oops didn't catch that!"
mode = "Error"
feedback(mode, say)
except sr.RequestError:
say = "Internet seems to be down."
mode = "Error"
feedback(mode, say)
def main():
# In the scikit-learn set below, the data is shuffled using utils.resample
# as the first pass had an artifact in the end of the list that wasn't
# representative of the rest of the set.
# Dependent on input set
temp_digits = datasets.load_digits()
digits = utils.resample(temp_digits.data, random_state=0)
temp_answers = utils.resample(temp_digits.target, random_state=0)
images = utils.resample(temp_digits.images, random_state=0)
target_values = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
num_of_training_vectors = 1000
answers, answers_to_test, validation_answers = (
temp_answers[:num_of_training_vectors],
temp_answers[num_of_training_vectors : num_of_training_vectors + 500],
temp_answers[num_of_training_vectors + 500 :],
)
training_set, testing_set, validation_set = (
digits[:num_of_training_vectors],
digits[num_of_training_vectors : num_of_training_vectors + 500],
digits[num_of_training_vectors + 500 :],
)
# For all inputs
training_vectors = [append_bias(vector) for vector in training_set]
test_vectors = [append_bias(vector) for vector in testing_set]
network = Network(
images,
target_values,
len(training_set[0]),
training_vectors,
answers,
test_vectors,
answers_to_test,
validation_set,
validation_answers,
)
# [network.learn_run() for x in range(250)] # Number of Epochs over set
# network.report_results(network.run_unseen())
# network.report_results(network.run_unseen(True), True)
# plt.ion()
# with open("weight_set.txt", 'w') as w:
# for elem in network.neurons:
# for x in elem.weights:
# y = str(x) + ', '
# w.write(y)
with open("weight_set.txt", "r") as w:
for line in w:
weights = line.strip().split(", ")
w_list = [float(elem.replace(",", "")) for elem in weights]
for x in range(10):
network.neurons[x].weights = w_list[:64]
w_list = w_list[64:]
print(network.neurons[1].weights)
x = np.random.normal(128, 1, (8, 8))
y = x.flatten()
# y = network.test_set[0][:-1]
network.test_set = [y]
visualization(y, "Gaussian Noise")
guess = network.run_unseen()
print(guess)
# print(y)
# input("Hit a key to continue")
target_values.remove(guess[0])
for i in range(15):
for i in range(5):
y = feedback(y, network.neurons[guess[0]].weights, 0.001)
for x in target_values:
y = feedback(y, network.neurons[x].weights, -0.0001)
visualization(y, "Dreamt a " + str(guess[0]))
network.test_set = [y]
guess = network.run_unseen()
print(guess)
y = [(neurons[4].x) % 256 for x in weights]
visualization(y, "Neuron 4 weight set")
def __init__(self):
self.cr = config_reader()
self.feedback_dir = self.cr.get_feedback()
self.feedbeck = feedback()
self.late_submission_list = late_submit_checker().late_submitter_log()
self.late_penalty = int(self.cr.get_late_submit_penalty())
def recieve_message():
global store
user_input = request.get_json()
if user_input.get('entry'):
event = user_input['entry'][0]
if event.get('messaging'):
message = event['messaging'][0]
# server get text type message
if message.get('message'):
text = message['message'].get(
'text') #user input on Facebook Messenger
user_ID = message['sender'][
'id'] #Facebook Messenger ID for user so we know where to send response back to
sent_time = time.time() # current time
if user_ID not in store.keys(
): #new user, create a new record for this ID
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
else: #old user, update record of this ID
break_time = sent_time - store[user_ID]['time']
if break_time > 120: # longer than 2 mins, renew the record
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
else:
store[user_ID]['time'] = sent_time
if store[user_ID]['re_ask'] == 0 or store[user_ID][
're_ask'] > 1: ## the server do not need re-ask or server had re-asked more than twice
store[user_ID]['re_ask'] = 0
new_text = intent_classify.preprocessing(
text) # preprocessing the user input
intent, intent_acc = intent_classify.intent_classification(
new_text) # get intent and the accuracy
store[user_ID]['intent_acc'] = intent_acc
# Corresponding actions for intents of 'Greetings','Goodbye','Name'
if intent == 'Greetings':
greet_response = [
'Hi, I am here to help you!', 'Hi nice to meet u!',
'Hey there!', 'Yo!', 'Hey, boo!'
]
response = random.choice(
greet_response) #random chooser one response
if store[user_ID][
'intent_acc'] <= intent_bound: # intent accuracy lower than the bound
# store response and intent into record for further continue sending
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
# send ask-continue button type message to user
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else: # send the reponse back to user
server.send_text_message(user_ID, response)
return "Message Processed"
elif intent == 'Goodbye':
bye_response = [
'See you soon!', 'Thanks!', 'ByeBye!',
'Thank you for choosing us!', 'I will miss you!'
]
response = random.choice(bye_response)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else:
server.send_text_message(user_ID, response)
return "Message Processed"
elif intent == 'Name':
name_response = [
'My name is KOBO. :）', 'Please call me KOBO ~',
'I am KOBO ^^'
]
response = random.choice(name_response)
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
store[user_ID]['re_intent'] = intent
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
return "Message Processed"
else:
server.send_text_message(user_ID, response)
return "Message Processed"
store[user_ID]['input'] = text #record the input of user
else: #server is re-asking for course code or stream name
print(store[user_ID])
intent = store[user_ID]['re_intent'] #get recorded intent
text = store[user_ID][
'input'] + ' ' + text # combine the new input with recorded input for further actions
print('new reask text is ' + text)
keyword = keyword_extract.keyword_extraction(
intent, text) # extract keyword fron input
print('keyword is ' + str(keyword))
response = retrieve.retrieval_func(
keyword) # get response from data-retrieving
print('data retrieve is ' + response)
if response == 'Please provide valid courses code.': # can not retrieve without valid course codes
# search record for valid course code
if store[user_ID]['keyword'] != {}:
print(store[user_ID])
if store[user_ID]['keyword'][
'course'] != []: # recorded valid course code
store[user_ID]['keyword']['intent'] = intent
print(store[user_ID]['keyword'])
keyword['course'] = store[user_ID]['keyword'][
'course'] #conbine keyword with recorded course codes
response = retrieve.retrieval_func(
keyword
) # re-data_retrieving for response with new keyword
if store[user_ID][
'intent_acc'] <= intent_bound: # intent accuracy lower than the bound
store[user_ID][
'response'] = response # recorded the response for further sending
# send ask-continue button type message to user
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
# send response back to user
res = response
server.send_button_message(
user_ID, res, button)
else: # no valid course code in recorded keyword
store[user_ID][
're_ask'] += 1 # add one more time to re-ask label of record,server need re-ask
# record intent and keyword
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response
server.send_text_message(user_ID, res)
else: # not record keyword
store[user_ID][
're_ask'] += 1 # add one more time to re-ask label of record
# record intent and keyword
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
res = response
server.send_text_message(user_ID, res)
elif response[(
len(response) - 43
):] == 'Do you want query one specific stream name?': # can not retrieve without an valid stream name
# search record for valid stream name
if store[user_ID]['keyword'] != {}:
print(store[user_ID])
if store[user_ID]['keyword'][
'stream_name'] != []: # recorded valid stream name
store[user_ID]['keyword']['intent'] = intent
print(store[user_ID]['keyword'])
keyword['stream_name'] = store[user_ID]['keyword'][
'stream_name'] #conbine keyword with recorded course codes
response = retrieve.retrieval_func(
keyword
) # re-data_retrieving for response with new keyword
if store[user_ID][
'intent_acc'] <= intent_bound: # intent accuracy lower than the bound
store[user_ID][
'response'] = response # recorded the response for further sending
# send ask-continue button type message to user
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
# send response back to user
res = response
server.send_button_message(
user_ID, res, button)
else: # no valid stream name in recorded keyword
store[user_ID][
're_ask'] += 1 # add one more time to re-ask label of record, server need re-ask
# record intent and keyword
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(
user_ID, res, continue_button)
else:
res = response
server.send_text_message(user_ID, res)
else: # not record keyword
store[user_ID][
're_ask'] += 1 # add one more time to re-ask label of record,server need re-ask
store[user_ID]['re_intent'] = intent
store[user_ID]['keyword'] = keyword
if store[user_ID]['intent_acc'] <= intent_bound:
store[user_ID]['response'] = response
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
res = response #+ ' ' + str(store[user_ID]['re_ask'])
server.send_text_message(user_ID, res)
else: # getting an response from retrieving data
store[user_ID][
're_ask'] = 0 # set re-ask label as 0 in record, server did not re-ask
store[user_ID]['keyword'] = keyword # record the keyword
store[user_ID]['re_intent'] = ''
if store[user_ID][
'intent_acc'] <= intent_bound: # intent accuracy lower than the bound
store[user_ID][
'response'] = response # recorded the response for further sending
# send ask-continue button type message to user
res = 'We think your input may lead to wrong response, do you want continue?'
server.send_button_message(user_ID, res,
continue_button)
else:
# send response back to user
res = response
server.send_button_message(user_ID, res, button)
# server get message from button
elif message.get('postback'):
user_ID = message['sender'][
'id'] #Facebook Messenger ID for user so we know where to send response back to
recipient_id = message["recipient"]["id"]
payload = message["postback"]["payload"] # get button text
if payload == 'Yes': # user feedback that response is helpful
res = 'It is good to hear!'
# upload user input into AWS dataset for further model training
feedback.feedback(user_ID, store[user_ID]['input'],
store[user_ID]['keyword']['intent'])
server.send_text_message(user_ID, res)
elif payload == 'No': # user feedback that response is helpless
res = 'We will improve soon!'
sent_time = time.time()
# renew the record of user for new query
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
server.send_text_message(user_ID, res)
elif payload == '1': # user feedback that wanna continue
res = store[user_ID]['response']
if store[user_ID]['re_ask'] == False: # server not re-ask
# send stored response back to user
if store[user_ID]['re_intent'] in [
'Greetings', 'Goodbye', 'name'
]: # send text type message for 3 types of intent
server.send_text_message(user_ID, res)
else: # send button type message for other kinds of intent
server.send_button_message(user_ID, res, button)
else: #server is re-asking
# send stored response back to user
server.send_text_message(user_ID, res)
elif payload == '0': # user feedback that wanna not continue
res = 'Please reinput with more details.'
sent_time = time.time()
# renew the record of user for new query
store[user_ID] = {
'input': '',
're_intent': '',
'keyword': {},
're_ask': 0,
'time': sent_time,
'intent_acc': 0.0,
'response': ''
}
server.send_text_message(user_ID, res)
return "Message Processed"
def run_step(job_desc, resources):
"""
Run step (parallel to main thread)
:param job_desc: string, jod id + "_" + step order
:param resources: dictionary, resources required by the step
:return: None
"""
global LATEST_JOB_ID, LATEST_JOB_STEP, CPU_POOL, MEMORY_POOL, DISK_POOL, RUNNING_JOBS
items = job_desc.split('_')
job_id = int(items[0])
step_order = int(items[1])
user_id = JOB_TABLE[job_id]['user_id']
recheck = forecast_step(job_id, step_order, resources)
log_file = os.path.join(settings["env"]["log"], str(job_id))
if recheck is not True:
return
if 'feedback' in settings['env'].keys(
) and settings['env']['feedback'] == 'yes':
try:
from feedback import feedback
feedback(JOB_COMMAND[job_id][0], ' '.join(JOB_COMMAND[job_id][1:]),
get_user_mail(JOB_TABLE[job_id]['user_id']))
except:
pass
if settings['cluster']['type']:
# for cluster
import clusterSupport
if resources['cpu'] is None:
allocate_cpu = settings['cluster']['cpu']
else:
from math import ceil
predict_cpu = int(ceil(round(resources['cpu']) / 100))
if predict_cpu > settings['cluster']['cpu'] or predict_cpu == 0:
allocate_cpu = settings['cluster']['cpu']
else:
allocate_cpu = predict_cpu
if resources['mem'] is None:
allocate_mem = settings['cluster']['mem']
else:
allocate_mem = bytes_to_readable(resources['mem'])
if resources['vrt_mem'] is None:
allocate_vrt = settings['cluster']['vrt']
else:
allocate_vrt = bytes_to_readable(resources['vrt_mem'])
# baseDriver.update(settings['datasets']['job_db'], job_id, 'status', step_order + 1)
try:
job_record = Queue.objects.get(id=job_id)
job_record.set_status(step_order + 1)
except:
pass
if 'trace' in resources.keys():
# learn
return_code = clusterSupport.main(
settings['cluster']['type'], ' '.join(JOB_COMMAND[job_id]),
job_id, step_order, allocate_cpu, allocate_mem, allocate_vrt,
settings['cluster']['queue'], JOB_TABLE[job_id]['job_folder'],
log_file, settings['cluster']['walltime'], 1,
resources['trace'])
else:
return_code = clusterSupport.main(
settings['cluster']['type'], ' '.join(JOB_COMMAND[job_id]),
job_id, step_order, allocate_cpu, allocate_mem, allocate_vrt,
settings['cluster']['queue'], JOB_TABLE[job_id]['job_folder'],
log_file, settings['cluster']['walltime'])
if return_code != 0:
try:
from feedback import feedback_error, get_error_log
feedback_error(JOB_COMMAND[job_id][0],
' '.join(JOB_COMMAND[job_id][1:]),
get_error_log(log_file), get_user_mail(user_id))
except:
pass
error_job(job_id, resources)
else:
# RUNNING_JOBS -= 1
finish_step(job_id, step_order, resources)
else:
# for local environment or cloud
print("Now run %s" % job_desc)
print(CPU_POOL, MEMORY_POOL, DISK_POOL)
try:
log_file_handler = open(log_file, "a")
RUNNING_JOBS += 1
true_shell = 0
redirect_tags = ('>', '<', '|')
for rt in redirect_tags:
if rt in JOB_COMMAND[job_id]:
true_shell = 1
break
if true_shell:
step_process = subprocess.Popen(
' '.join(JOB_COMMAND[job_id]),
shell=True,
cwd=JOB_TABLE[job_id]['job_folder'])
else:
step_process = subprocess.Popen(
JOB_COMMAND[job_id],
shell=False,
stdout=log_file_handler,
stderr=log_file_handler,
cwd=JOB_TABLE[job_id]['job_folder'])
# step_process = subprocess.Popen(JOB_COMMAND[job_id], shell=False, stdout=log_file_handler,
# stderr=log_file_handler, cwd=JOB_TABLE[job_id]['job_folder'])
process_id = step_process.pid
if 'trace' in resources.keys():
learn_process = subprocess.Popen([
"python",
os.path.join(root_path, 'mlCollector.py'), "-p",
str(step_process.pid), "-n",
str(JOB_TABLE[job_id]['steps'][step_order]['hash']), "-j",
str(resources['trace'])
],
shell=False,
stdout=None,
stderr=subprocess.STDOUT)
while step_process.poll() is None:
if process_id in psutil.pids():
proc_info = psutil.Process(process_id)
if proc_info.is_running():
job = Queue.objects.get(id=job_id)
if job.ter:
job.status = -3
job.ter = 0
job.save()
# proc_info.kill()
kill_proc(proc_info)
# step_process.kill()
error_job(job_id, resources)
RUNNING_JOBS -= 1
return None
time.sleep(30)
log_file_handler.close()
print("Now job %s finished." % job_desc)
# finish_step(job_id, step_order, resources)
if step_process.returncode != 0:
RUNNING_JOBS -= 1
error_job(job_id, resources)
else:
RUNNING_JOBS -= 1
finish_step(job_id, step_order, resources)
JOB_TABLE[job_id]['resume'] = step_order
if job_id > LATEST_JOB_ID and (step_order + 1) > LATEST_JOB_STEP:
LATEST_JOB_ID = job_id
LATEST_JOB_STEP = step_order
except Exception as e:
print(e)
try:
from feedback import feedback_error, get_error_log
feedback_error(JOB_COMMAND[job_id][0],
' '.join(JOB_COMMAND[job_id][1:]),
get_error_log(log_file), get_user_mail(user_id))
except:
pass
RUNNING_JOBS -= 1
error_job(job_id, resources)
members = settings.get('members', [])
notifications = api.cache_method('/me/notifications', team['id'])
if len(notifications) == 0:
output.append(feedback.item(title='You have no notifications', valid=False, icon=icon_path(team)))
for n in notifications:
m = [member for member in members if member['id'] == n['who']]
if len(m) >= 1:
icon = icon_path_member(m[0])
else:
icon = icon_path(team)
output.append(feedback.item(title=n['title'], subtitle=n['body'], valid=False, icon=icon))
feedback.feedback(output)
# Do nothing until there is an access_token
if (token is None or bool(re.search("^[a-z0-9]{128}$", token)) == False) or params[0] == 'token':
feedback.feedback(feedback.item(title='Get a token', valid=True, arg='token:' + str(is_first_time)))
sys.exit()
# Check that the user has a team
user_teams = settings.get('teams', [])
if len(user_teams) == 0 or params[0] == 'teams':
title = ''
if len(user_teams) == 0:
title = 'No'
else:
title = 'Update'
feedback.feedback(feedback.item(title=title + ' teams', autocomplete='teams', subtitle='Use `teams` to update your teams', arg='teams', valid=True))
sys.exit()
if params[0] == 'members':
feedback.feedback(feedback.item(title='Update members', autocomplete='members', subtitle='Use `members` to update your team members', arg='members', valid=True))
def __init__(self, policynames, policyranges):
self.f = feedback.feedback()
self.pNames = policynames
self.pRange = policyranges
