def sendSMS(name, phoneNo):
account_sid = 'account_id'
auth_token = 'token'
client = Client(account_sid, auth_token)
for i in range(len(name)):
client.create(
body='Good morning ' + name[i] +
' hope you are well.This is a kind reminder that your contract is '
'expirying within next 7 days make sure you renew it before it expires',
from_='+18303650760',
to='+' + phoneNo[i])
class SMS:
""" Send SMS using Twilio. """
def __init__(self):
self.account_sid = os.environ["TWILIO_ACCOUNT_SID"]
self.auth_token = os.environ["TWILIO_AUTH_TOKEN"]
self.messaging_service_sid = os.environ["MESSAGING_SERVICE_SID"]
self.to = os.environ["PHONE_NUMBER"]
self.message = Client(self.account_sid, self.auth_token).messages
def send_message(self, latitude, longitude):
message = self.message.create(
messaging_service_sid=self.messaging_service_sid,
body=f"It works!!!\n{latitude}\n{longitude}",
to=self.to,
)
class RedisMatching:
def __init__(self, config):
self.db = Redis(host=config['host'],
port=config['port'],
db=config['db'],
decode_responses=True)
self.msg_client = Client(config['account_sid'],
config['auth_token']).messages
self.msg_sender = config['sender']
def set_userdata(self, user_data):
user_data['timestamp'] = int(time())
return self.db.hmset(user_data['phone_numb'], user_data)
def get_userdata(self, user_name):
return self.db.hgetall(user_name)
def get_all_user(self):
return self.db.keys()
def remove_userdata(self, user_name):
return self.db.delete(user_name)
def send_message(self, phone_numb, message):
phone_numb = '+82' + phone_numb[1:]
result = self.msg_client.create(to=phone_numb,
from_=self.msg_sender,
body=message)
return result
def initialize(self):
for key in self.get_all_user():
self.db.delete(key)
def match_user(self):
def make_food_vector(user_data):
food_vector = [
int(user_data['cutlet']),
int(user_data['hamburger']),
int(user_data['noodle']),
int(user_data['korean_food'])
]
return food_vector
def make_message_text(target_name, user_data, similarity=0):
if user_data['gender'] == 'male': user_data['gender'] = '남'
elif user_data['gender'] == 'female': user_data['gender'] = '여'
text ='%s님, 혼밥러 매칭완료!\n\n상대 : %s님\n연락처 : %s\n성별 : %s\n유사도 : %0.2f' \
%(target_name, user_data['user_name']
, user_data['phone_numb'], user_data['gender']
, similarity*100)
return text
while (len(self.get_all_user()) >= 2):
user_list = self.get_all_user()
user_data_list = list(map(self.get_userdata, user_list))
user_data_list = [[user_data['timestamp'], user_data]
for user_data in user_data_list]
user_data_list = [
user_data[1] for user_data in sorted(user_data_list)
]
print(user_data_list)
target_user = user_data_list[0]
target_vec = make_food_vector(target_user)
similarity_list = []
for user_data in user_data_list[1:]:
user_vec = make_food_vector(user_data)
similarity = RedisMatching.cosine_similarity(
target_vec, user_vec)
similarity_list.append((similarity, user_data))
max_val = max(similarity_list)
print(max_val)
text = make_message_text(target_user['user_name'], max_val[1],
max_val[0])
self.send_message(target_user['phone_numb'], text)
print(text)
text = make_message_text(max_val[1]['user_name'], target_user,
max_val[0])
self.send_message(max_val[1]['phone_numb'], text)
print(text)
# self.remove_userdata(target_user['phone_numb'])
# self.remove_userdata(max_val[1]['phone_numb'])
return True
@staticmethod
def cvt_unit_vec(vector):
scalar = math.sqrt(sum([i * i for i in vector]))
return [idx / scalar for idx in vector]
@staticmethod
def cosine_similarity(a, b):
a = RedisMatching.cvt_unit_vec(a)
b = RedisMatching.cvt_unit_vec(b)
return sum([i * j for i, j in zip(a, b)])
@staticmethod
def custom_similarity(a, b):
# a = RedisMatching.cvt_unit_vec(a)
# b = RedisMatching.cvt_unit_vec(b)
c = [i - j for i, j in zip(a, b)]
c = [i * i for i in c]
return 300 - math.sqrt(sum(c))
class RedisMatching:
def __init__(self, config):
self.db = Redis(host=config['host'], port=config['port'], db=config['db'], decode_responses=True)
self.msg_client = Client(config['account_sid'], config['auth_token']).messages
self.msg_sender = config['sender']
def set_userdata(self, user_data):
user_data['timestamp'] = int(time())
return self.db.hmset(user_data['phone_numb'], user_data)
def get_userdata(self, user_name):
return self.db.hgetall(user_name)
def get_all_user(self):
return self.db.keys()
def remove_userdata(self, user_name):
return self.db.delete(user_name)
def send_message(self, phone_numb, message):
phone_numb = '+82'+phone_numb[1:]
result = self.msg_client.create(to=phone_numb,
from_=self.msg_sender,
body=message
)
return result
def initialize(self):
for key in self.get_all_user():
self.db.delete(key)
def match_user(self):
def make_food_vector(user_data):
food_vector = [ int(user_data['cutlet']),
int(user_data['hamburger']),
int(user_data['noodle']),
int(user_data['korean_food']) ]
return food_vector
def make_message_text(target_name, user_data, similarity=0):
if user_data['gender'] == 'male' : user_data['gender'] = '남'
elif user_data['gender'] == 'female' : user_data['gender'] = '여'
text ='%s님, 혼밥러 매칭완료!\n\n상대 : %s님\n연락처 : %s\n성별 : %s\n유사도 : %0.2f' \
%(target_name, user_data['user_name']
, user_data['phone_numb'], user_data['gender']
, similarity*100)
return text
while(len(self.get_all_user()) >= 2):
user_list = self.get_all_user()
user_data_list = list(map(self.get_userdata, user_list))
user_data_list = [[user_data['timestamp'], user_data] for user_data in user_data_list]
user_data_list = [user_data[1] for user_data in sorted(user_data_list)]
print(user_data_list)
target_user = user_data_list[0]
target_vec = make_food_vector(target_user)
similarity_list = []
for user_data in user_data_list[1:]:
user_vec = make_food_vector(user_data)
similarity = RedisMatching.cosine_similarity(target_vec, user_vec)
similarity_list.append( (similarity, user_data) )
max_val = max(similarity_list)
print(max_val)
text = make_message_text(target_user['user_name'], max_val[1], max_val[0])
self.send_message(target_user['phone_numb'], text)
print(text)
text = make_message_text(max_val[1]['user_name'], target_user, max_val[0])
self.send_message(max_val[1]['phone_numb'], text)
print(text)
# self.remove_userdata(target_user['phone_numb'])
# self.remove_userdata(max_val[1]['phone_numb'])
return True
@staticmethod
def cvt_unit_vec(vector):
scalar = math.sqrt(sum([i*i for i in vector]))
return [idx/scalar for idx in vector]
@staticmethod
def cosine_similarity(a, b):
a = RedisMatching.cvt_unit_vec(a)
b = RedisMatching.cvt_unit_vec(b)
return sum([i*j for i,j in zip(a, b)])
@staticmethod
def custom_similarity(a, b):
# a = RedisMatching.cvt_unit_vec(a)
# b = RedisMatching.cvt_unit_vec(b)
c = [i-j for i,j in zip(a, b)]
c = [i*i for i in c]
return 300 - math.sqrt(sum(c))
