import os
import telebot
import time
import random
import threading
from telebot import types
from pymongo import MongoClient
import traceback
import apiai, json
from api.ai import Agent
token = ''
bot = telebot.TeleBot(token)
neiro = apiai.ApiAI('')
parent = ''
agent = Agent(
'cipraded',
'',
'',
)
training = False
teachers = [268486177, 792414733, 441399484]
@bot.message_handler(commands=['train'])
def ctrain(m):
pass
from MessageForm import *
from Ten_Carousel import *
#AI自然語言分析(DialogFlow)
import apiai
#Google表單
import sys
import datetime
import gspread
from oauth2client.service_account import ServiceAccountCredentials as SAC
app = Flask(__name__)
#LINEAPI認證
ai = apiai.ApiAI('084bce6e157c47d39d5cb23715b47b69')
line_bot_api = LineBotApi(
'TNwu7tqho7m8MnMSmG8jpAF8tWl+hzBQzb/JKdbDBJv3HkMAUJiz8uo0nS0hG89tbsjQk8IV02p/v5ChZ1txRKjMlvPufgBPak5Y5AEwJt84wc9Mocg+yeZ8oyRQcfwFKnfmNaNRJR27Qc9r6iY38AdB04t89/1O/w1cDnyilFU='
)
handler = WebhookHandler('d184dfc3ec38e22fb7edf6b7275023a8')
static_tmp_path = os.path.join(os.path.dirname(__file__), 'static', 'tmp')
# 監聽所有來自 /callback 的 Post Request
@app.route("/callback", methods=['POST'])
def callback():
# get X-Line-Signature header value
signature = request.headers['X-Line-Signature']
# get request body as text
body = request.get_data(as_text=True)
import os.path
import sys
import json
import speech_recognition as sr
#import win32com.client
try:
import apiai
except ImportError:
sys.path.append(
os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
r = sr.Recognizer()
CLIENT_ACCESS_TOKEN = '2c087495015448aabb887b153f6e81fd'
ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
#speaker = win32com.client.Dispatch("SAPI.SpVoice")
def say(words):
print('Robot Say: ' + words) # Represent robot 'say' function
#speaker.Speak(words)
class Speech():
def __init__(self):
self.interrupt_intents = [
'GoWashroom'
] # List of interruption events. Now it only contains goWashroom.
self.guest_bot = 'name'
self.name_bot = ''
self.response = ''
def __init__(self):
self.ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
def handle_command(message):
print("text2")
if obj.xs == 1:
if obj.count == 0:
des = message.text
newt.setDes(des)
obj.count += 1
bot.send_message(message.from_user.id, "Enter required number of performed tasks")
elif obj.count == 1:
fer = int(message.text)
newt.setReq(fer)
obj.count += 1
bot.send_message(message.from_user.id, "Enter priority as digit(1(lowest priority)-10(highest priority))")
elif obj.count == 2:
prior = int(message.text)
newt.setPrior(prior)
obj.count += 1
bot.send_message(message.from_user.id, "Is this for special person?(enter answer and id of holder)")
elif obj.count == 3:
obj.cur = None
text = message.text
if text.lower().find('yes') != -1 or text.lower() == "y":
textList = text.split(" ")
zip = int(textList[1])
newt.setHolderId(zip)
newt.setNum(0)
newt.setId(obj.ids())
Tas.append(Tasks().create(newt))
else:
for z in Sta:
id = new_id(Sta)
if z.depid == obj.cur.depid:
newt.setDepId(0)
newt.setNum(0)
newt.setId(id)
newt.setHolderId(0)
Tas.append(Tasks().create(newt))
with open('tasks.dat', "wb") as file:
pickle.dump(Tas, file)
task_buttons(message)
elif obj.xs == 2:
dele = int(message.text)
for t in Tas:
if t.id == dele:
Tas.remove(t)
with open('tasks.dat', "wb") as file:
pickle.dump(Tas, file)
task_buttons(message)
else:
if message.text == "/Client":
client(message)
elif message.text == "/Stuff":
stuff(message)
elif message.text == "/Admin":
admin(message)
elif message.text.lower() == "займи мне место":
myQueue = bq.take_queue(message.from_user.id)
t1 = threading.Thread(target=bq.live, args=(myQueue, message.from_user.id))
t1.start()
elif message.text.lower() == "покажи водителя":
driver = get_driver()
bot.send_message(message.from_user.id, "Driver:")
bot.send_message(message.from_user.id, "name: {}".format(driver['name']))
bot.send_message(message.from_user.id, "surname: {}".format(driver['surname']))
bot.send_message(message.from_user.id, "age: {}".format(driver['age']))
bot.send_message(message.from_user.id, "Driver class: {}".format(driver['dr_class']))
elif message.text.lower() == "покажи мои билеты":
mytickets = get_tickets()
for t in mytickets:
bot.send_message(message.from_user.id, "Booked seat:{}".format(t['sid']))
bot.send_message(message.from_user.id, "source: {}".format(t['source']))
bot.send_message(message.from_user.id, "destination: {}".format(t['destination']))
bot.send_message(message.from_user.id, "leaving time: {}".format(t['ltime']))
bot.send_message(message.from_user.id, "arrival time: {}".format(t['atime']))
bot.send_message(message.from_user.id, "Driver: {}".format(t['driver']))
bot.send_message(message.from_user.id, "Bus: {}".format(t['bus']))
elif message.text.lower() == "покажи автобус":
bus = get_bus()
bot.send_message(message.from_user.id, "Bus:{}".format(bus['id']))
bot.send_message(message.from_user.id, "Mark: {}".format(bus['mark']))
bot.send_message(message.from_user.id, "Year: {}".format(bus['year']))
bot.send_message(message.from_user.id, "Amount of seats: {}".format(bus['seats']))
elif message.text.lower() == "покажи расписание":
schedule = get_schedule()
myQueue = bq.take_queue(message.from_user.id)
bot.send_message(message.from_user.id, "Schedule")
bot.send_message(message.from_user.id, "id:{}".format(schedule['id']))
bot.send_message(message.from_user.id, "source: {}".format(schedule['source']))
bot.send_message(message.from_user.id, "destination: {}".format(schedule['destination']))
bot.send_message(message.from_user.id, "Bus: {}".format(schedule['bus']))
bot.send_message(message.from_user.id, "Driver: {}".format(schedule['driver']))
elif message.text.lower().find("купи билеты") is not -1 or message.text.lower().find("купить билеты") is not -1:
msg = message.text.lower()
global busid
busid = 0
seats = []
isFirst = True
for str in msg.split():
if str.isdigit():
if isFirst:
busid = int(str)
break
else:
seats.append(int(str))
bseats, sid = bus_bus_ticket(busid, seats)
if bseats is None:
print("Life is good")
bot.send_message(chat_id=message.from_user.id, text="Дело сделано!")
else:
str = "Unfortunately, these seats are occupied already: "
for bs in bseats:
str += bs + " "
if len(seats) > len(bseats):
str += "But I have booked the rest"
bot.send_message(chat_id= message.from_user.id, text= str)
msg = "Here are the seats of bus: {}\n".format(busid)
ss = get_seats(sid)
for s in range(0, len(ss)):
key = False
if s[0] == 1:
key = True
msg += "id: {} booked: {}\n".format(s[0], key)
bot.send_message(chat_id=message.from_user.id, text=msg)
else:
# bot.send_message(message.from_user.id, message.text)
request = apiai.ApiAI('b9c84a1d9d2d4626884a0033964085d4').text_request() # Токен API к Dialogflow
request.lang = 'ru' # На каком языке будет послан запрос
request.session_id = 'AIYAv1' # ID Сессии диалога (нужно, чтобы потом учить бота)
request.query = message.text # Посылаем запрос к ИИ с сообщением от юзера...
responseJson = json.loads(request.getresponse().read().decode('utf-8'))
response = responseJson['result']['fulfillment']['speech'] # Разбираем JSON и вытаскиваем ответ
# Если есть ответ от бота - присылаем юзеру, если нет - бот его не понял
if response:
bot.send_message(chat_id= message.from_user.id, text=response)
else:
bot.send_message(chat_id=message.from_user.id, text='Я Вас не совсем поняла!')
def __init__(self):
self.token = 'e677f19897554756861dd69150c87d58' # faq client
self.ai = apiai.ApiAI(self.token)
self.session_id = ''
def apiaiCon(self):
self.CLIENT_ACCESS_TOKEN = ""
self.ai = apiai.ApiAI(self.CLIENT_ACCESS_TOKEN)
self.request = self.ai.text_request()
self.request.lang = 'de' #Default : English
self.request.session_id = "<SESSION ID, UNIQUE FOR EACH USER>"
def handle_message(event):
# 連ALTAS
userId = event.source.user_id
client = pymongo.MongoClient("mongodb+srv://edison:[email protected]/test?retryWrites=true&w=majority")
db = client.data
collection = db.user
condition = {'userId': userId}
user = collection.find_one(condition)
text = event.message.text
language = 'zh-TW'
country = translate_text(text,"auto","en")# 防止系統以為簡體轉繁體產生error，先轉成en
if (country.get('SourceLanguageCode') == "zh"):
zh_text = country.get('TranslatedText')
text = translate_text(zh_text,"en","zh-TW").get('TranslatedText')
else:
result = translate_text(text,"auto","zh-TW") # 轉成中文
language = result.get('SourceLanguageCode') #偵測使用者語言
text = result.get('TranslatedText')
print('SourceLanguageCode: ' + language)
print('TranslatedText: ' + text)
if text == "餐廳":
print(event.message.text)
# user沒資料
if user == None or user['lat'] == None:
language = "zh-TW"
if user:
language = user['lan']
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
# 給予定位
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url=relocation,
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text="hello", contents=bubble1)
line_bot_api.reply_message(
event.reply_token, [TextSendMessage(text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText')), message1])
else: # user有資料
# 拿user經緯度
lat = user['lat']
lng = user['lng']
print(lat)
print(lng)
# 離user最近的五筆推薦
res = getRestuarantsByPref(user['preference'],[lng,lat])
#print(res)
#######這裡要改，沒有網址跟地址
def getphoto(name,lat,lng):###拿照片METHOD
restaurantSearch ="https://maps.googleapis.com/maps/api/place/nearbysearch/json?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&location={},{}&rankby=distance&type=restaurant&language=zh-TW".format(lat,lng)
restaurantReq = requests.get(restaurantSearch)
restaurant_dict = restaurantReq.json()
newname=name.split(' - ')
photoReference=''
photoWidth=''
address='無地址'
for i in range(len(restaurant_dict)):
if newname[0] in str(restaurant_dict['results'][i]['name']) :
try:
photoReference= restaurant_dict['results'][i]['photos'][0]['photo_reference']
except:
photoReference=''
try:
photoWidth=restaurant_dict['results'][i]['photos'][0]['width']
except:
photoWidth=''
try:
address=restaurant_dict['results'][i]['vicinity']
except:
address='無地址'
if photoReference=='':
thumbnailImageUrl ="https://imgur.com/XWtpbnt.jpg"
else:
thumbnailImageUrl = "https://maps.googleapis.com/maps/api/place/photo?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&photoreference={}&maxwidth={}".format(photoReference,photoWidth)
return thumbnailImageUrl,address,newname[0]
bubble_list = list(map(lambda i: RestuarantBubble(
name=trans_txt((getphoto(i['title'],i['location']['lat'],i['location']['lng'])[2]),user['lan']).get('TranslatedText'),
address=trans_txt((getphoto(i['title'],i['location']['lat'],i['location']['lng'])[1]),user['lan']).get('TranslatedText'),
time="10:00 - 23:00",
##image="https://i.imgur.com/TwKsV8T.jpg",
image=getphoto(i['title'],i['location']['lat'],i['location']['lng'])[0],
website="https://example.com",
lat=i['location']['lat'],
lng=i['location']['lng'],
lan = user['lan'],
rating=i['rating']), res))
#print(bubble_list)
carousel = CarouselContainer(contents=bubble_list)
#######這裡要改
newBubble = BubbleContainer(
body=BoxComponent(
layout='vertical',
contents=[
TextComponent(text=trans_txt('需要更詳細的推薦嗎?',user['lan']).get('TranslatedText')),
ButtonComponent(action=URIAction(uri='line://nv/location',text=trans_txt('重新定位',user['lan']).get('TranslatedText'), label=trans_txt('重新定位',user['lan']).get('TranslatedText'))),
ButtonComponent(action=URIAction(uri='https://access.line.me/oauth2/v2.1/authorize?response_type=code&client_id=1606988072&redirect_uri=https://lineloginscu.herokuapp.com/&state=abcde&scope=openid%20profile',text=trans_txt('重新設定喜好',user['lan']).get('TranslatedText'), label=trans_txt('重新設定喜好',user['lan']).get('TranslatedText')))
]
)
)
# 轉成使用者輸入的語言回覆
line_bot_api.reply_message(event.reply_token, [
TextSendMessage(text=trans_txt('讓我來推薦你附近餐廳～',user['lan']).get('TranslatedText')),
FlexSendMessage(alt_text=trans_txt("推薦餐廳",user['lan']).get('TranslatedText'), contents=carousel),
FlexSendMessage(alt_text=trans_txt("額外設定",user['lan']).get('TranslatedText'), contents=newBubble)
])
elif text == '住宿' or event.message.text == '宿泊施設':
print(event.message.text)
def getphoto(name,lat,lng):###拿照片METHOD
restaurantSearch ="https://maps.googleapis.com/maps/api/place/nearbysearch/json?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&location={},{}&rankby=distance&language=zh-TW".format(lat,lng)
restaurantReq = requests.get(restaurantSearch)
restaurant_dict = restaurantReq.json()
newname=name.split(' - ')
photoReference=''
photoWidth=''
address='無地址'
for i in range(len(restaurant_dict)):
if newname[0] in str(restaurant_dict['results'][i]['name']) or newname[0] == str(restaurant_dict['results'][i]['name']) or str(restaurant_dict['results'][i]['name']) in newname[0] :
try:
photoReference= restaurant_dict['results'][i]['photos'][0]['photo_reference']
except:
photoReference=''
try:
photoWidth=restaurant_dict['results'][i]['photos'][0]['width']
except:
photoWidth=''
try:
address=restaurant_dict['results'][i]['vicinity']
except:
address='無地址'
if photoReference=='':
thumbnailImageUrl ="https://imgur.com/I9zmjwp.jpg"
else:
thumbnailImageUrl = "https://maps.googleapis.com/maps/api/place/photo?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&photoreference={}&maxwidth={}".format(photoReference,photoWidth)
return thumbnailImageUrl,address,newname[0]
# user沒資料
if(user == None or user['lat'] == None):
language = "zh-TW"
if user:
language = user['lan']
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
# 給予定位
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url=relocation,
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText'), contents=bubble1)
line_bot_api.reply_message(
event.reply_token, [TextSendMessage(text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText')), message1])
else: # user有資料
# 拿user經緯度
lat = user['lat']
lng = user['lng']
print(lat)
print(lng)
# 離user最近的五筆推薦
lodging = client.data.lodging_tag
lodging.ensure_index([('location', '2d')])
res = lodging.find({"location": {"$near": [lat, lng]}}).limit(5)
# build bubble list
bubble_list = list(map(lambda i: LodgingBubble(
name=trans_txt((getphoto(i['title'],i['location']['lat'],i['location']['lng'])[2]),user['lan']).get('TranslatedText'),
address=trans_txt((getphoto(i['title'],i['location']['lat'],i['location']['lng'])[1]),user['lan']).get('TranslatedText'),
lat=i['location']['lat'],
lng=i['location']['lng'],
lan=user['lan'],
picture=getphoto(i['title'],i['location']['lat'],i['location']['lng'])[0],
), res))
carousel = CarouselContainer(contents=bubble_list)
line_bot_api.reply_message(event.reply_token, [TextSendMessage(text=trans_txt("讓我來推薦你附近住宿～",user['lan']).get('TranslatedText')),
FlexSendMessage(alt_text=trans_txt("讓我來推薦你附近住宿～",user['lan']).get('TranslatedText'), contents=carousel)])
elif text == '活動' or event.message.text == '활동에 참여할 수 있습니다' :
print(event.message.text)
# user沒資料
if user == None or user['lat'] == None:
language = "zh-TW"
if user:
language = user['lan']
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
# 給予定位
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url='https://i.imgur.com/Mu3OmsY.jpg',
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText'), contents=bubble1)
line_bot_api.reply_message(
event.reply_token, [TextSendMessage(text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText')), message1])
else: # user有資料
# 拿user經緯度
lat = user['lat']
lng = user['lng']
print(lat)
print(lng)
# 離user最近的五筆推薦
activity = client.data.activity_data
activity.ensure_index([('location', '2d')])
res = activity.find({"location": {"$near": [lat, lng]}}).limit(5)
# build bubble list
bubble_list = list(map(lambda i: ActivityBubble(
name=trans_txt(i['name'],user['lan']).get('TranslatedText'),
address=trans_txt((i['Add']or "無地址"),user['lan']).get('TranslatedText'),
lat=i['location']['lat'],
lng=i['location']['lng'],
lan=user['lan'],
picture=checkUrl(i['Picture']),
website=i['Website']or "https://www.google.com/search?q={searchname}".format(searchname=i['name'])
), res))
carousel = CarouselContainer(contents=bubble_list)
line_bot_api.reply_message(event.reply_token, [TextSendMessage(text=trans_txt("讓我來推薦你附近活動～",user['lan']).get('TranslatedText')),
FlexSendMessage(alt_text=trans_txt("讓我來推薦你附近活動～",user['lan']).get('TranslatedText'), contents=carousel)])
elif text == '景點' or event.message.text == '観光名所':
print(event.message.text)
# user沒資料
if user == None or user['lat'] == None:
language = "zh-TW"
if user:
language = user['lan']
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url='https://i.imgur.com/Mu3OmsY.jpg',
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText'), contents=bubble1)
line_bot_api.reply_message(
event.reply_token, [TextSendMessage(text=trans_txt("資料庫沒有你的位置資料，請重新定位位置喔!",language).get('TranslatedText')), message1])
else:
lat = user['lat']
lng = user['lng']
print(lat)
print(lng)
scenic_spot = client.data.scenic_spot
scenic_spot.ensure_index([('location', '2d')])
res = scenic_spot.find(
{"location": {"$near": [lng, lat]}}).limit(5)
def getphoto(name,lat,lng,add):
restaurantSearch ="https://maps.googleapis.com/maps/api/place/nearbysearch/json?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&location={},{}&rankby=distance&locationbias=circle:20000&language=zh-TW".format(lat,lng)
restaurantReq = requests.get(restaurantSearch)
restaurant_dict = restaurantReq.json()
photoReference=''
photoWidth=''
for i in range(len(restaurant_dict)):
if str(restaurant_dict['results'][i]['name']) in name or name in str(restaurant_dict['results'][i]['name']) :
try:
photoReference= restaurant_dict['results'][i]['photos'][0]['photo_reference']
photoWidth=restaurant_dict['results'][i]['photos'][0]['width']
except:
photoReference=''
elif add in str(restaurant_dict['results'][i]['vicinity']) or str(restaurant_dict['results'][i]['vicinity']) in add:
try:
photoReference= restaurant_dict['results'][i]['photos'][0]['photo_reference']
photoWidth=restaurant_dict['results'][i]['photos'][0]['width']
except:
photoReference=''
break
if photoReference=='':
thumbnailImageUrl ="https://imgur.com/PzggTWr.jpg"
else:
thumbnailImageUrl = "https://maps.googleapis.com/maps/api/place/photo?key=AIzaSyCkzX3dPU0ny5Y7iyxIvoY6uDGS77Qelj0&photoreference={}&maxwidth={}".format(photoReference,photoWidth)
return thumbnailImageUrl
bubble_list = list(map(lambda i: ScenicSpotBubble(
name=trans_txt(i['name'],user['lan']).get('TranslatedText'),
address=trans_txt(i['Add'],user['lan']).get('TranslatedText'),
description=trans_txt((i['Description']or "無敘述"),user['lan']).get('TranslatedText') ,
lat=i['location']['lat'],
lng=i['location']['lng'],
lan=user['lan'],
mapurl='https://www.google.com/maps/search/?api=1&query=TASTY西堤牛排中和板南店',
image=getphoto(i['name'],i['location']['lat'],i['location']['lng'],i['Add']),
), res))
carousel = CarouselContainer(contents=bubble_list)
#print(carousel)
line_bot_api.reply_message(event.reply_token, [TextSendMessage(text=trans_txt("讓我來推薦你附近景點～",user['lan']).get('TranslatedText')),
FlexSendMessage(alt_text=trans_txt("讓我來推薦你附近景點～",user['lan']).get('TranslatedText'), contents=carousel)])
elif text == '登入':
line_bot_api.reply_message(event.reply_token, TextSendMessage(
text=f"https://access.line.me/oauth2/v2.1/authorize?response_type=code&client_id={os.environ.get('LOGIN_ID')}&redirect_uri={os.environ.get('LOGIN_REDIRECT')}&state=abcde&scope=openid%20profile"))
elif text == "定位":
message = TemplateSendMessage(
alt_text='Confirm template',
template=ConfirmTemplate(
text=trans_txt('是否要修改定位?',user['lan']).get('TranslatedText'),
actions=[
PostbackTemplateAction(
label='postback',
text='postback text',
data='action=buy&itemid=1'
),
URITemplateAction(
label='location',
uri='line://nv/location'
)
]
)
)
line_bot_api.reply_message(event.reply_token, message)
elif text == "選單" or text == "功能表" or text == "從選單中選取" or text == "選擇菜單":
# user沒資料
if user == None:
bubble = BubbleContainer(
direction='ltr',
body=BoxComponent(
layout='vertical',
contents=[
# title
TextComponent(text='功能推薦 / Recommendations', weight='bold', size='lg'),
],
),
footer=BoxComponent(
layout='vertical',
spacing='xs',
contents=[
# first row
BoxComponent(
layout='horizontal',
spacing='xs',
contents=[
# callAction, separator, websiteAction
SpacerComponent(size='sm'),
# callAction
ImageComponent(
url='https://i.imgur.com/3lDSAzf.jpg',
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label='餐廳', text='餐廳')
),
# separator
SeparatorComponent(),
# websiteAction
ImageComponent(
url='https://i.imgur.com/Du2ZFZW.jpg',
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label='住宿', text='住宿')
)
]
),
# second row
BoxComponent(
layout='horizontal',
spacing='xs',
contents=[
# callAction, separator, websiteAction
SpacerComponent(size='sm'),
# callAction
ImageComponent(
url='https://i.imgur.com/3QOwxjC.jpg',
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label='景點', text='景點')
),
# separator
SeparatorComponent(),
# websiteAction
ImageComponent(
url='https://i.imgur.com/N0u3MbN.jpg',
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label='活動', text='活動')
)
]
),
]
),
)
message = FlexSendMessage(alt_text="hello", contents=bubble)
#重新定位
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url='https://i.imgur.com/Mu3OmsY.jpg',
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text="hello", contents=bubble1)
line_bot_api.reply_message(event.reply_token, [message, message1])
else:
fuctiontxt = {
'zh-TW' : '功能推薦 / Recommendations',
'en' : 'Recommendations',
'ja' : '機能に関する推奨事項',
'ko' : '기능 권장 사항'
}.get(user['lan'], None)
#圖片更改
pic_res = {
'zh-TW' : 'https://i.imgur.com/3lDSAzf.jpg',
'en' : 'https://imgur.com/XWtpbnt.jpg',
'ja' : 'https://imgur.com/MBLOIcK.jpg',
'ko' : 'https://imgur.com/504X61v.jpg'
}.get(user['lan'], None)
pic_hotel = {
'zh-TW' : 'https://i.imgur.com/Du2ZFZW.jpg',
'en' : 'https://imgur.com/I9zmjwp.jpg',
'ja' : 'https://imgur.com/xdTwSAc.jpg',
'ko' : 'https://imgur.com/dgRSNO8.jpg'
}.get(user['lan'], None)
pic_act = {
'zh-TW' : 'https://i.imgur.com/N0u3MbN.jpg',
'en' : 'https://imgur.com/FfiIWot.jpg',
'ja' : 'https://imgur.com/JErghGx.jpg',
'ko' : 'https://imgur.com/ZXHNLFp.jpg'
}.get(user['lan'], None)
pic_spot = {
'zh-TW' : 'https://i.imgur.com/3QOwxjC.jpg',
'en' : 'https://imgur.com/PzggTWr.jpg',
'ja' : 'https://imgur.com/5y1Ba1P.jpg',
'ko' : 'https://imgur.com/uoDvVLR.jpg'
}.get(user['lan'], None)
#功能推薦
bubble = BubbleContainer(
direction='ltr',
body=BoxComponent(
layout='vertical',
contents=[
# title
TextComponent(text=fuctiontxt, weight='bold', size='lg'),
],
),
footer=BoxComponent(
layout='vertical',
spacing='xs',
contents=[
# first row
BoxComponent(
layout='horizontal',
spacing='xs',
contents=[
# callAction, separator, websiteAction
SpacerComponent(size='sm'),
# callAction
ImageComponent(
url=pic_res,
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label=trans_txt('餐廳',user['lan']).get('TranslatedText'), text=trans_txt('餐廳',user['lan']).get('TranslatedText'))
),
# separator
SeparatorComponent(),
# websiteAction
ImageComponent(
url=pic_hotel,
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label=trans_txt('住宿',user['lan']).get('TranslatedText'), text=trans_txt('住宿',user['lan']).get('TranslatedText'))
)
]
),
# second row
BoxComponent(
layout='horizontal',
spacing='xs',
contents=[
# callAction, separator, websiteAction
SpacerComponent(size='sm'),
# callAction
ImageComponent(
url=pic_spot,
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label=trans_txt('景點',user['lan']).get('TranslatedText'), text=trans_txt('景點',user['lan']).get('TranslatedText'))
),
# separator
SeparatorComponent(),
# websiteAction
ImageComponent(
url=pic_act,
size='full',
aspect_ratio='20:13',
aspect_mode='cover',
action=MessageAction(label=trans_txt('活動',user['lan']).get('TranslatedText'), text=trans_txt('活動',user['lan']).get('TranslatedText'))
)
]
),
]
),
)
message = FlexSendMessage(alt_text="hello", contents=bubble)
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
#重新定位
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url=relocation,
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
message1 = FlexSendMessage(alt_text="hello", contents=bubble1)
line_bot_api.reply_message(event.reply_token, [message, message1])
elif text == "語言":
newbubble = BubbleContainer(
body=BoxComponent(layout='vertical', contents=[
TextComponent(text='語言 / Language / 言語 / 언어 / язык'),
ButtonComponent(action=MessageAction(
label='中文', text='中文')),
ButtonComponent(action=MessageAction(
label='English', text='English')),
ButtonComponent(action=MessageAction(
label='日本語', text='日本語')),
ButtonComponent(action=MessageAction(
label='한국어', text='한국어')),
]))
line_bot_api.reply_message(event.reply_token, FlexSendMessage(
alt_text="語言設定", contents=newbubble))
elif text == "中文" or text == "英語" or text == "日本語" or text == "韓國人":
lan = {
'中文' : 'zh-TW',
'英語' : 'en',
'日本語' : 'ja',
'韓國人' : 'ko',
}.get(text, None)
if (user != None): # user有資料，更新
print("NOT EMPTY")
print("language = "+lan)
user['lan'] = lan
# print("user_lan="+str(user['lan']))
collection.update_one(condition, {'$set': user})
else: # user沒有資料，新增
print("EMPTY")
userdict = {"userId": userId, "lat": None, "lng": None, "lan": lan, "preference": {"like": [], "ok": [], "dislike": []}}
collection.insert_one(userdict)
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url='https://imgur.com/6u5XWJX.jpg',
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=MessageAction(label=trans_txt('選單',lan).get('TranslatedText'), text=trans_txt('選單',lan).get('TranslatedText'))
),
)
print("選單："+trans_txt('選單',lan).get('TranslatedText'))
# 轉成使用者輸入的語言回覆
trans_text = translate_text("已變更你的語言囉～開始使用推薦功能吧！","zh-TW",lan).get('TranslatedText')
line_bot_api.reply_message(event.reply_token, [TextSendMessage(
text=trans_text), FlexSendMessage(alt_text="已變更你的語言囉～開始使用推薦功能吧！", contents=bubble1)])
elif text == "天氣":
if (user['lat'] != None): # user有資料，拿經緯度
print("NOT EMPTY")
lat = user['lat']
lng = user['lng']
# 去天氣API拿天氣資料 並回傳JSON 處理JSON拿天氣資料
complete_url = 'https://api.openweathermap.org/data/2.5/weather?lat={}&lon={}&appid=0056a083378c9466f69a017d5c17c4f4&lang=zh_tw'.format(
lat, lng)
print(complete_url)
response = requests.get(complete_url)
#print(response)
x = response.json()
# 拿天氣資料
city_name = x['name']
icon = x['weather'][0]['icon'] # 天氣狀況
icon_url = 'https://openweathermap.org/img/wn/{}@2x.png'.format(icon)
print(icon_url)
description = x['weather'][0]['description']
temp_min = repr(x['main']['temp_min']) # 最低溫度
temp_min = repr(round((float(temp_min)-273.15), 2))
temp_max = repr(x['main']['temp_max']) # 最最高溫度
temp_max = repr(round((float(temp_max)-273.15), 2))
print(description)
# 以上皆對
# 天氣資訊欄
bubble_1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url=icon_url, # 貌似出錯 解法: 一定要+S在HTTP後面
size='lg',
aspect_ratio='20:13',
aspect_mode='cover'
),
body=BoxComponent(
layout='vertical',
contents=[
# title
TextComponent(text=city_name, weight='bold', size='xl'),
# review
# info
BoxComponent(
layout='vertical',
margin='lg',
spacing='sm',
contents=[
BoxComponent(
layout='baseline',
spacing='sm',
contents=[
TextComponent(
text=trans_txt('天氣狀況',user['lan']).get('TranslatedText'),
color='#aaaaaa',
size='sm',
flex=5
),
TextComponent(
text=trans_txt(description,user['lan']).get('TranslatedText'),
wrap=True,
color='#666666',
size='sm',
flex=5
)
],
),
BoxComponent(
layout='baseline',
spacing='sm',
contents=[
TextComponent(
text=trans_txt('最高溫度',user['lan']).get('TranslatedText'),
color='#aaaaaa',
size='sm',
flex=7
),
TextComponent(
text=temp_max,
wrap=True,
color='#666666',
size='sm',
flex=5,
),
],
),
BoxComponent(
layout='baseline',
spacing='sm',
contents=[
TextComponent(
text=trans_txt('最低溫度',user['lan']).get('TranslatedText'),
color='#aaaaaa',
size='sm',
flex=7
),
TextComponent(
text=temp_min,
wrap=True,
color='#666666',
size='sm',
flex=5,
),
],
),
],
)
],
),
footer=BoxComponent(
layout='vertical',
spacing='sm',
contents=[
TextComponent(
text=' ',
color='#aaaaaa',
size='sm',
flex=1
)
]
)
)
message1 = FlexSendMessage(alt_text="天氣狀況", contents=bubble_1)
relocation = {
'zh-TW' : 'https://i.imgur.com/Mu3OmsY.jpg',
'en' : 'https://imgur.com/QPeSsju.jpg',
'ja' : 'https://imgur.com/MjuLXTe.jpg',
'ko' : 'https://imgur.com/2uu74Xs.jpg'
}.get(user['lan'], None)
bubble_2 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url=relocation,
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
)
)
message2 = FlexSendMessage(alt_text="定位", contents=bubble_2)
line_bot_api.reply_message(event.reply_token, [message1, message2])
else: # user沒有資料，要定位
print("EMPTY")
bubble1 = BubbleContainer(
direction='ltr',
hero=ImageComponent(
url='https://i.imgur.com/Mu3OmsY.jpg',
size='full',
aspect_ratio='5:1',
aspect_mode='fit',
action=URIAction(uri='line://nv/location', label='label')
),
)
line_bot_api.reply_message(
event.reply_token,
FlexSendMessage(alt_text="定位", contents=bubble1))
else:
ai = apiai.ApiAI(os.environ.get('CLIENT_ACCESS_TOKEN'))
request = ai.text_request()
request.lang = 'tw' # optional, default value equal 'en'
request.query = event.message.text
response = request.getresponse().read().decode()
result = json.loads(response)
# 轉成使用者輸入的語言回覆
trans_text = translate_text(result['result']['fulfillment']['speech'],"zh-TW",language).get('TranslatedText')
line_bot_api.reply_message(event.reply_token, TextSendMessage(
text=trans_text))
from flask import Flask, request, abort
from linebot import (LineBotApi, WebhookHandler)
from linebot.exceptions import (InvalidSignatureError)
from linebot.models import *
import os.path
import sys
import json
import apiai
import star2
import random
from chatBot import cafeChatbot
import read_jokes
app = Flask(__name__)
# YOUR GOOGLE DIALOGFLOW API KEY
ai = apiai.ApiAI('YOUR GOOGLE DIALOGFLOW API KEY')
# Channel Access Token
line_bot_api = LineBotApi('LINE CHANNEL ACCESS TOKEN')
# Channel Secret
handler = WebhookHandler('LINE CHANNEL SECRET')
#man
men = [
"https://imgur.com/UQINa8n.jpg", "https://imgur.com/3FFrELS.jpg",
"https://imgur.com/rzpidOW.jpg", "https://imgur.com/2NPW9v3.jpg",
"https://imgur.com/8lyrjKk.jpg", "https://imgur.com/6Pzsgii.jpg",
"https://imgur.com/K5dmaWW.jpg", "https://imgur.com/uXJX3oi.jpg",
"https://imgur.com/AQ3nNIl.jpg", "https://imgur.com/PKlVYab.jpg",
"https://i.imgur.com/FH4XQVp.jpg"
]
#WEMEN
wemen = [
from django.shortcuts import render, HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.core.mail import send_mail
from user.models import Client
# Create your views here.
import requests
import json
MAIL_SERVER = ''
import apiai
ai = apiai.ApiAI("5024b204fe004def95ee70793929c0f0")
def message_to_bot(message, client):
request = ai.text_request()
request.query = message
response = request.getresponse().read().decode('utf-8')
return json.loads(response)
@csrf_exempt
def recieve_mail(request):
mails = process_request(request)['mail']
for mail in mails:
user = mail['to']
import urllib.request
import urllib.parse
import codecs
import json,re
from config import *
import apiai
import retreiveData as retreive
client=apiai.ApiAI(APIAIKey)
need_list = ["food","shelter","water","medicine","cloth","hygene"]
def apiai_query(message):
req=client.text_request()
req.lang="de"
req.session_id="<SESSION ID, UNIQUE FOR EACH USER>"
req.query=message
response=json.loads(req.getresponse().read().decode('utf-8'))
responseStatus = response['status']['code']
print(response)
if responseStatus == 200 :
text = response['result']['fulfillment']['speech']
else:
text="No Match Found"
result=response["result"]
param=result["parameters"]
if len(param.keys())==0:
def get_text_messages(message):
#bot.forward_message(127924504, message.chat_id, message_id)
GODmsg = "Сообщение " + message.text + " от " + str(message.from_user)
bot.send_message(127924504, GODmsg)
if message.text == "Сколько ещё ждать?" or message.text == "/wait":
# Пишем приветствие
bot.send_message(message.from_user.id, "Скажи, куда ты собрался?")
# Готовим кнопки
keyboard = types.InlineKeyboardMarkup()
# По очереди готовим текст и обработчик для каждого знака зодиака
key_chegem = types.InlineKeyboardButton(text='Чегем',
callback_data='chegem')
# И добавляем кнопку на экран
keyboard.add(key_chegem)
key_splav = types.InlineKeyboardButton(text='Сплав с Олегом',
callback_data='splav')
keyboard.add(key_splav)
key_chuhloma = types.InlineKeyboardButton(text='Чухлома',
callback_data='chuhloma')
keyboard.add(key_chuhloma)
key_bear = types.InlineKeyboardButton(text='Камчатка',
callback_data='bear')
keyboard.add(key_bear)
key_veget = types.InlineKeyboardButton(text='Никуда',
callback_data='veget')
keyboard.add(key_veget)
# Показываем все кнопки сразу и пишем сообщение о выборе
bot.send_message(message.from_user.id,
text='Я скажу сколько ещё ждать',
reply_markup=keyboard)
elif message.text == '/ID':
IDmsg = "Ваш ID в Телеграм: " + str(message.from_user.id)
bot.send_message(message.from_user.id, IDmsg)
elif message.text == '/help':
bot.send_message(
message.from_user.id,
"Сколько ещё ждать? или /wait - расчёт дней до ближайшей поездки. /ID - покажет ваш ID в Telegram. На любой другой запрос ответит встроенный искуственный идиот"
)
elif message.text == '/start':
bot.send_message(
message.from_user.id,
"Привет! Я умею рассказывать сколько дней до ближайшей поездки (для этого надо спросить 'Сколько ещё ждать?') или можем просто поболтать о жизни с помощью моего искуственного интеллекта."
)
else:
request = apiai.ApiAI(
dialogflowtoken).text_request() # Токен API к Dialogflow
request.lang = 'ru' # На каком языке будет послан запрос
request.session_id = 'Bot_Idiot' # ID Сессии диалога (нужно, чтобы потом учить бота)
request.query = message.text # Посылаем запрос к ИИ с сообщением от юзера
responseJson = json.loads(request.getresponse().read().decode('utf-8'))
response = responseJson['result']['fulfillment'][
'speech'] # Разбираем JSON и вытаскиваем ответ
# Если есть ответ от бота - присылаем юзеру, если нет - бот его не понял
if response:
bot.send_message(message.from_user.id, response)
else:
bot.send_message(
message.from_user.id,
'Я Вас не совсем понял! Попробуйте повторить запрос или введите команду /help для получения справки'
)
def message():
data = json.loads(request.data)
message_id = data['data']['id']
session_id = data['data']['personEmail'] + data['data']['roomId']
room_id = data['data']['roomId']
if data['data']['personEmail'] == '*****@*****.**':
return "true"
if session_id not in session:
session[session_id] = uuid.uuid1()
headers = {'Authorization': 'Bearer evenMoreSecret'}
data = requests.get('https://api.ciscospark.com/v1/messages/' +
str(message_id),
headers=headers)
data = json.loads(data.text)
text = data['text']
ai = apiai.ApiAI("more secret")
r = ai.text_request()
r.lang = 'es' # optional, default value equal 'en'
r.session_id = 'asd'
r.query = text
response = r.getresponse()
response = response.read()
print(response)
response = json.loads(response)
if response['result']['actionIncomplete'] is False:
if 'sw' in response['result']['parameters']:
swtich = response['result']['parameters']['sw']
port = response['result']['parameters']['port']
swtich = swtich.replace("OSCI ", "")
port = port.replace("OSCI ", "")
print("sw", swtich)
print("port", port)
import paramiko
ssh = paramiko.SSHClient()
ssh.load_system_host_keys()
ssh.set_missing_host_key_policy(paramiko.WarningPolicy())
ssh.connect(swtich.strip(),
port=22,
username="******",
password="******",
look_for_keys=False,
allow_agent=False)
stdin, stdout, stderr = ssh.exec_command("show interfaces " + port)
stdout = stdout.readlines()
txt_response = '\n'.join(stdout)
print("stf", stdout)
ssh.close()
else:
txt_response = response['result']['fulfillment']['speech']
else:
txt_response = response['result']['fulfillment']['speech']
payload = {'roomId': room_id, 'text': txt_response}
data = requests.post('https://api.ciscospark.com/v1/messages',
headers=headers,
data=payload)
data = json.loads(data.text)
print(data)
return "true"
def main():
parser = argparse.ArgumentParser(description='query Api.Ai web agent.')
parser.add_argument(
'--testset',
dest='testset',
action='store',
metavar='TESTSET',
required=True,
help=
'The testset dir to be used, value can be: default or specified. If specified specifyTestSetInfo.txt will be read.'
)
parser.add_argument(
'--token',
dest='token',
action='store',
metavar='TOKEN',
required=True,
help=
'The APIAI client access token which you get when you create the agent.'
)
args = parser.parse_args()
client_access_token = ""
if args.token is not None:
client_access_token = args.token
else:
raise RuntimeError, 'Usage: python progName --testset default/specified --token clientToken'
testset = ""
if args.testset is not None:
testset = args.testset
else:
raise RuntimeError, 'Usage: python progName --testset default/specified --token clientToken'
testset = testset.lower()
rootDirTop = "../.."
infoFile = rootDirTop + '/allGeneFileNames/allGeneFileNames.txt'
dictkv = getDictInfoFromFile(infoFile)
serviceName = dictkv["serviceName_APIAI"]
trainset = dictkv["apiaiActuallyUsedTrainset"]
resultsIdx = dictkv[
"apiaiLatestTestResultsIdx"] # used for label testResults dir to allow multiple tests
crntIdx = int(resultsIdx) + 1
srcFiles = []
trainTimeStamp = dictkv["timeStamp"]
textTestsetDir = ""
annoTestsetDir = "" # for saveInfo, used by evaluator
if testset == "default":
annoTestsetDir = dictkv[
"testSetAnnotated"] # testSetAnnotated was added when first generating data
textTestsetDir = dictkv["testSetPureTextDir"]
srcFiles = getFiles(textTestsetDir)
else:
testInfoFile = rootDirTop + '/allGeneFileNames/specifyTestSetInfo.txt'
testsetkv = getDictInfoFromFile(testInfoFile)
testTimeStamp = testsetkv["testTimeStamp"]
testFileStr = testsetkv["testIntentFiles"]
testDirPref = rootDirTop + "/preprocessResults/autoGeneFromRealAnno/autoGene_"
testDirSuff = "/DomainIntentNoDupShuffleSubset_Test/text"
textTestsetDir = testDirPref + testTimeStamp + testDirSuff
annoTestsetDir = testDirPref + testTimeStamp + "/DomainIntentNoDupShuffleSubset_Test/annotated"
if testFileStr == "full":
srcFiles = getFiles(textTestsetDir)
else:
srcFiles = getFilesFromStr(testFileStr)
srcBaseDir = textTestsetDir
baseDestDir = rootDirTop + "/testResults/" + serviceName
if (not os.path.exists(baseDestDir)):
os.mkdir(baseDestDir)
baseDestDir = baseDestDir + "/" + serviceName + "_TestResults_" + trainset + "_" + trainTimeStamp + "-" + str(
crntIdx)
if (not os.path.exists(baseDestDir)):
os.mkdir(baseDestDir)
# save saveinfo -- append to file: allGeneFileNames/allGeneFileNames.txt
crntTimeStamp = datetime.datetime.now().strftime('%Y%m%d-%H%M%S-%f')[:-3]
saveinfo = []
saveinfo.append("\n# ---- written by queryApiaiAuto2.py:")
saveinfo.append("crntTimeStamp=" + crntTimeStamp)
saveinfo.append("apiaiLatestTestResultsIdx=" +
str(crntIdx)) #TODO rasa would use serviceName
saveinfo.append("apiaiLatestTestResultsDir=" +
baseDestDir) # evaluater read this
saveinfo.append("apiaiTestSetAnnotated=" +
annoTestsetDir) # evaluator read this
saveinfo.append("apiaiQueriedClientToken=" + client_access_token)
saveinfo.append("apiaiQueriedTestset=" + testset)
write2fileAppend(infoFile, saveinfo)
numUtt = 500 # max num of utt to test
totalUttProcessed = 0
ai = apiai.ApiAI(client_access_token)
# new generated test input text files are contained in one directory
# not have further subdirectory for each domain as before.
# srcFiles = getFiles(srcBaseDir) === got from above.
start_time = time.time()
for i in range(len(srcFiles)):
results = {'results': []}
domainFile = srcFiles[i]
print "srcFiles:" + domainFile
fileUri = os.path.join(srcBaseDir, domainFile)
print "fileUri:" + fileUri
utterances = readFile2List(fileUri)
num = numUtt # numUtt is the max num of utt to test
if (num > len(utterances)):
num = len(utterances)
print "num of utt to test:" + str(num)
for j in range(num):
utt = utterances[j]
utt = utt.lower()
print "query:" + str(j) + " = " + utt
#res = queryApiai(utt)
request = ai.text_request()
request.query = utt
response = request.getresponse()
jo = response.read()
res = json.loads(jo)
results['results'].append(res)
totalUttProcessed = totalUttProcessed + 1
print "totalUttProcessed:" + str(totalUttProcessed)
# wait a bit, then query again for another utt.
# time.sleep(0.3) # Time in seconds. consider limit of 5 calls per second
time.sleep(
0.2
) # 0.2 should be enough, as query itself takes time. Apiai is quicker than Luis and Watson.
domainName = domainFile[0:domainFile.rfind(".")]
print "domainName:" + domainName
saveJson2File(baseDestDir, domainName, results)
elapsed_time = time.time() - start_time
print "==== APIAI query finished ==== Elapsed Time: " + str(elapsed_time)
def api_main(Querry):
ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
request = ai.text_request()
request.lang = 'en' # optional, default value equal 'en'
request.session_id = "<SESSION ID>"
request.query = Querry
response = request.getresponse()
# print (response.read())
JsonData = response.read()
JsonToPython = json.loads(JsonData)
print(JsonToPython['result'])
ActionName = JsonToPython['result']['action']
ActionIncomplete = JsonToPython['result']['actionIncomplete']
if ActionName == 'input.Claim_Initiated' and ActionIncomplete == False:
UserClaimNumber = JsonToPython['result']['contexts'][0]['parameters'][
'Claim-Number'][0]['number.original']
print(UserClaimNumber)
aftr_clm = AfterClaim(UserClaimNumber)
return (aftr_clm)
# print (UserClaimNumber)
elif ActionName == 'input.Coverage_Amount' and ActionIncomplete == False:
UserPolicyNumber = JsonToPython['result']['contexts'][0]['parameters'][
'Policy_Number']
init_stat = (
"<span style='color: #666766;font-weight: 500;'>Coverage Details</span><span class='list-card-description'>Cool. You're all set. You are covered for </span>"
)
CA = PolicyAmount(UserPolicyNumber)
final_statement = init_stat + str(CA)
return (final_statement)
elif ActionName == 'input.PropertyDamage':
UserPolicyNumber = JsonToPython['result']['contexts'][0]['parameters'][
'Policy_Number']
ini_stat = (
"<span style='color: #666766;font-weight: 500;'>Property Damage</span><span style='display:block;'><img src='static/images/propertyDamage.jpg' style='height: 100%;width: 100%;'></span><span class='list-card-description'>You are covered for damage to </span>"
)
prop_dmg = PropertyDamage(UserPolicyNumber)
close_stat = (
"<span style='display:block'>Is their any other information I can help you with ?</span>"
)
fl_stat = ini_stat + str(prop_dmg) + close_stat
return (fl_stat)
elif ActionName == 'input.ClaimAdjuster':
UserClaimNumber = JsonToPython['result']['contexts'][0]['parameters'][
'Claim-Number'][0]['number.original']
print(UserClaimNumber)
fnl_statement = ClaimAdjuster(UserClaimNumber)
return (fnl_statement)
elif ActionName == 'input.Link_Not_Working':
UserPolicyNumber = JsonToPython['result']['contexts'][0]['parameters'][
'Policy_Number']
Cause = JsonToPython['result']['contexts'][0]['parameters'][
'Accident.original']
TIME = JsonToPython['result']['contexts'][0]['parameters']['time']
DATE = JsonToPython['result']['contexts'][0]['parameters']['date'][0]
print(DATE)
TimeStamp = str(DATE) + "T" + str(TIME) + "Z"
UQ.Claim_Number = Random()
UQ.AdjusterName = Adjuster[random.randint(0, 3)]
import datetime
mylist = []
b = datetime.date.today()
a = b + timedelta(days=5)
mylist.append(a)
UQ.DateOfVisit = mylist[0]
UQ.ContactNumber = Number[random.randint(0, 3)]
UQ.Date = DATE
UQ.Time = TIME
UQ.Cause = Cause
UQ.PolicyNumber = UserPolicyNumber
with open('claim.csv', 'a') as Ques_Ans:
writer = csv.writer(Ques_Ans)
writer.writerow([
UQ.Claim_Number, UQ.AdjusterName, UQ.DateOfVisit,
UQ.ContactNumber, UQ.Date, UQ.Time, UQ.Cause, UQ.PolicyNumber
])
final = (
"<span style='color: #666766;font-weight: 500;margin-bottom: 2px;'>Claim Registration</span><span class='list-card-description'>Your Claim has been initiated and your claim registration number is <span style='color: #f9eeaa;font-weight: bold;'>"
+ str(UQ.Claim_Number) +
".</span></span><span style='display: block;margin-bottom: 20px;'> You will shortly recieve a call from our Claims Team who will assist you further</span> <span style='display:block;margin-bottom: 2px;'> Is there anything else that I may help you with ?</span><div class='quick-replies-buttons'><button type='button' class='btn pmd-btn-outline pmd-ripple-effect btn-info .pmd-btn-fab apiQuickreplybtnPayload' data-apiquickrepliespayload='Yes, Please'>Yes, Please</button><button type='button' class='btn pmd-btn-outline pmd-ripple-effect btn-info .pmd-btn-fab apiQuickreplybtnPayload' data-apiquickrepliespayload='No, Thanks'>No, Thanks</button></div>"
)
print(final)
return (final)
elif ActionName == 'input.unknown':
a = classifier(Querry)
if a == 'machine':
flag = 0
csv_file = csv.reader(open('sanchit.csv'), delimiter=",")
qstn = Querry
for row in csv_file:
print("checking...")
if qstn == row[0]:
return (row[1])
flag = flag + 1
if (flag == 0):
return (False)
elif a == 'no machine':
return ("I am not trained for this scope..")
else:
return (JsonToPython)
sha256.update(text)
return sha256.hexdigest()
if __name__ == '__main__':
# with open("./movr.ini") as f:
# movr_config = f.read()
# config = ConfigParser.RawConfigParser(allow_no_value=True)
# config.readfp(io.BytesIO(movr_config))
# ai = apiai.ApiAI(config.get('api_ai', 'client_access_token'))
# request = ai.text_request()
# request.session_id = config.get('api_ai', 'session_id')
ai = apiai.ApiAI('17dac27f07a24b47b39aece331efc3ad')
request = ai.text_request()
request.session_id = 'api_ai', '<SESSION ID, UNIQUE FOR EACH USER>'
# main()
r = sr.Recognizer()
m = sr.Microphone()
with m as source:
r.adjust_for_ambient_noise(source)
# r.pause_threshold = 1
r.operation_timeout = 8
stop_listening = r.listen_in_background(m, speech_recog_cb)
import json
from flask import Flask, request
import apiai
import twilio.twiml
from twilio.rest import TwilioRestClient
import config
# Configurations for twilio, apiai, and flask.
client = TwilioRestClient(config.account_sid, config.auth_token)
ai = apiai.ApiAI(config.client_access_token)
app = Flask(__name__)
@app.route("/test")
def hello():
return "Hello World!"
@app.route("/", methods=['GET', 'POST'])
def server():
# get SMS input via twilio
resp = twilio.twiml.Response()
# get SMS metadata
msg_from = request.values.get("From", None)
msg = request.values.get("Body", None)
# prepare API.ai request
req = ai.text_request()
req.lang = 'en' # optional, default value equal 'en'
def __init__(self):
self.serena = apiai.ApiAI(token)
self.session_id = util.generate_id(20)
self.response = {}
def __init__(self):
#Connexion api
self.ai=apiai.ApiAI(CLIENT_ACCESS_TOKEN)
#get bot id
BOT_ID = os.environ.get('SLACK_BOT_ID')
#get slack bot token
SLACK_BOT_TOKEN = os.environ.get('SLACK_BOT_TOKEN')
#get aiapi access token
APIAI_ACCESS_TOKEN = os.environ.get('APIAI_DEVELOPER_ACCESS_TOKEN')
#APIAI_ACCESS_TOKEN = "696bcad329ed4327981a0ba711b4f663"
#set slack client
slack_client = SlackClient(SLACK_BOT_TOKEN)
#set apiai client
apiai_client = apiai.ApiAI(APIAI_ACCESS_TOKEN)
# constants
AT_BOT = "<@" + BOT_ID + ">"
EXAMPLE_COMMAND = "do"
def parse_slack_output(slack_rtm_output):
output_list = slack_rtm_output
if output_list and len(output_list) > 0:
for output in output_list:
# print "output: ", len(output.keys()), output , "\n\n", BOT_ID, "\n\n"
if output and 'text' in output and AT_BOT in output['text']:
# return text after the @ mention, whitespace removed
return output['text'].split(
import apiai, json
import photo_proc
txt_request = apiai.ApiAI('733a0aad1eb0479c88c862e1ec1a26e7').text_request(
) # Токен API к Dialogflow
txt_request.lang = 'ru' # На каком языке будет послан запрос
txt_request.session_id = 'Comparator3000' # ID Сессии диалога (нужно, чтобы потом учить бота)
txt_request.query = 'Ты здесь?' # Посылаем запрос к ИИ с сообщением от юзера
txt_responseJson = json.loads(txt_request.getresponse().read().decode('utf-8'))
txt_response = txt_responseJson['result']['fulfillment'][
'speech'] # Разбираем JSON и вытаскиваем ответ
# Если есть ответ от бота - присылаем юзеру, если нет - бот его не понял
print('Проверяем работает ли бот; Спросим: Ты здесь?')
if txt_response:
print('Бот готов; его ответ: ' + txt_response)
else:
print('Подключение отсутствует, бот не отвечает')
photo_request = '/test_photo.jpg'
try:
photo_response = photo_proc.class_detector(photo_request)
print('Обработка фото функционирует нормально')
except:
print('Что-то пошло не так при обработке фотографии')
def handle(msg):
# imprime a mensagem
print "%s\n" % msg
# pega os dados básicos da mensagem
content_type, chat_type, chatid = telepot.glance(msg)
print 'content_type: %s\n' % content_type
print 'chat_type: %s\n' % chat_type
try:
msg['reply_to_message']
IsReply = 1
ReplyPara = msg['reply_to_message']['from']['username']
except:
IsReply = 0
print 'IsReply = %d' % IsReply
# caso seja alguém entrando no grupo, envia mensagem de boas vindas
if content_type == 'new_chat_member':
# se o novo participante for um bot já expulsa.
if msg['new_chat_participant']['is_bot']:
bot.sendMessage(chatid, mensagem.userbot)
bot.kickChatMember(chatid, msg['new_chat_participant']['id'])
# se o novo participante não for um bot tenta ver se ele tem um nome.
else:
try:
NomeNovoMembro = msg['new_chat_participant']['first_name']
except:
NomeNovoMembro = u'Sem Nome'
# verifica se o novo membro é um ser humano fazendo um teste simples, perguntando quanto é 2+2
bot.sendMessage(chatid, u'Olá, ' + NomeNovoMembro + u'. Antes de te dar boas vindas vou verificar se tu é realmente uma pessoa, ok? Quanto é dois mais dois? Você tem 30 segundos para responder.')
DadosNovoMembro['memberid'] = msg['new_chat_participant']['id']
DadosNovoMembro['chatid'] = chatid
# avisa quando alguém deixa o grupo
elif content_type == 'left_chat_member':
# tenta ler o nome de quem saiu
try:
NomeMembroSaindo = msg['left_chat_participant']['first_name']
except:
NomeMembroSaindo = u'Sem Nome'
# avisa grupo que membro saiu
bot.sendMessage(chatid, NomeMembroSaindo + mensagem.tchau)
###########################################
# A PARTIR DESSE PONTO ELE DETECTA TEXTOS #
###########################################
elif content_type == 'text':
# todas as mensagens são convertida para caracteres minúsculos
MensagemGrupo = msg['text'].lower()
# se a flag de novo membro estiver ativa e esse cara respondeu corretamente, zera o timeout para kick
if (MensagemGrupo.find('4') >= 0 or MensagemGrupo.find('quatro') >= 0) and msg['from']['id'] == DadosNovoMembro['memberid']:
DadosNovoMembro['memberid'] = 0
DadosNovoMembro['chatid'] = 0
bot.sendMessage(chatid, u'Agora sim. ' + mensagem.boasvindas)
#verifica se a menssagem é para o Fauro e envia a menssagem para o DialogFlow
#elif MensagemGrupo != False and bool(re.search('\\@FauroIA_bot\\b', MensagemGrupo, re.IGNORECASE)):
elif ((IsReply and ReplyPara == u'faurorex_bot') or bool(re.search('\\@faurorex_bot\\b', MensagemGrupo, re.IGNORECASE))):
MensagemGrupoModificada = MensagemGrupo.replace('@faurorex_bot','') #remove da menssagem o nome do Bot
request = apiai.ApiAI(config.token_dialogflow).text_request() # Conecta ao Dialogflow através da API Token
request.lang = 'pt-BR' # Seta a lingua a ser utilizada no dialogflow
request.session_id = 'Small-Talk' # ID Sessão de Dialogo (para terinamento do bot)
request.query = MensagemGrupoModificada# Envia a menssagem para o dialogflow
responseJson = json.loads(request.getresponse().read().decode('utf-8'))
response = responseJson['result']['fulfillment']['speech'] # pega a resposta do JSON
if response:
bot.sendMessage(chatid, text=response) #Resposta a ser enviada para o BOT
# comando para mostrar último episódio do feed do podcast
elif MensagemGrupo == '/ultimo':
feed = feedparser.parse(config.url_feed)
# imprime o status do feed (códigos http, exemplo, 404 é feed não encontrado. 200 é ok e 301 é redirecionado)
print feed.status
if feed.status == 200 or feed.status == 301:
print feed.entries[0].links[1].href
keyboard = InlineKeyboardMarkup(inline_keyboard=[
[InlineKeyboardButton(text = u'Ouvir', url = feed.entries[0].links[1].href, callback_data='url')],
])
bot.sendMessage(chatid, feed.entries[0].title, reply_markup=keyboard)
from django.conf import settings
from .users import userfb, user_save
import apiai
import json
from .actions import send_message
from .messages import typing, send_text
AI = apiai.ApiAI(settings.CLIENT_ACCESS_TOKEN_DIALOG_FLOW)
MAX_TIME = 5
def recived_message(message):
sender_id = message['sender']['id']
message_text = message['message']['text']
request = AI.text_request()
request.query = message_text
response = json.loads(request.getresponse().read().decode('utf-8'))
print("SENDER_ID ", sender_id)
speech = response['result']['fulfillment']['speech']
_user_data = userfb(sender_id)
def __init__(self, token):
self.ai = apiai.ApiAI(token)
def main():
# ./preprocessResults/out4RasaReal/rasa_json_2018_03_22-13_01_25_169_80Train/
# CrossValidation/KFold_1/testset/text
parser = argparse.ArgumentParser(description='query Apiai web server.')
parser.add_argument('--timestamp',
dest='timestamp',
action='store',
metavar='TIMESTAMP',
required=True,
help='The timestamp of generated data.')
parser.add_argument('--kfold',
dest='kfold',
action='store',
metavar='KFOLD',
required=True,
help='order number of the kfold, e.g. 1,2,...')
parser.add_argument(
'--token',
dest='token',
action='store',
metavar='TOKEN',
required=True,
help=
'The APIAI client access token which you get when you create the agent.'
)
args = parser.parse_args()
client_access_token = ""
if args.token is not None:
client_access_token = args.token
else:
raise RuntimeError, 'Usage: python progName --testset default/specified --token clientToken'
timestamp = ""
if args.timestamp is not None:
timestamp = args.timestamp
else:
raise RuntimeError, 'Usage: python progName --timestamp tm --kfold Num'
kfold = ""
if args.kfold is not None:
kfold = args.kfold
else:
raise RuntimeError, 'Usage: python progName --timestamp tm --kfold Num'
rootDirTop = "../.."
textTestsetDir = rootDirTop + "/preprocessResults/autoGeneFromRealAnno/autoGene_" + timestamp + "/CrossValidation/KFold_" + kfold + "/testset/text"
srcFiles = getFiles(textTestsetDir)
crntIdx = 1
serviceName = "APIAI"
trainset = "KFold"
trainTimeStamp = timestamp
baseDestDir = rootDirTop + "/testResults/" + serviceName
if (not os.path.exists(baseDestDir)):
os.mkdir(baseDestDir)
baseDestDir = baseDestDir + "/" + serviceName + "_TestResults_" + trainset + "_" + trainTimeStamp + "-" + str(
crntIdx)
baseDestDir = baseDestDir + "/KFold_" + kfold
if (not os.path.exists(baseDestDir)):
os.mkdir(baseDestDir)
numUtt = 500 # max num of utt to test
totalUttProcessed = 0
ai = apiai.ApiAI(client_access_token)
# new generated test input text files are contained in one directory
# not have further subdirectory for each domain as before.
# srcFiles = getFiles(srcBaseDir) === got from above.
srcBaseDir = textTestsetDir
start_time = time.time()
for i in range(len(srcFiles)):
results = {'results': []}
domainFile = srcFiles[i]
print "srcFiles:" + domainFile
fileUri = os.path.join(srcBaseDir, domainFile)
print "fileUri:" + fileUri
utterances = readFile2List(fileUri)
num = numUtt # numUtt is the max num of utt to test
if (num > len(utterances)):
num = len(utterances)
print "num of utt to test:" + str(num)
for j in range(num):
utt = utterances[j]
utt = utt.lower()
print "query:" + str(j) + " = " + utt
#res = queryApiai(utt)
request = ai.text_request()
request.query = utt
response = request.getresponse()
jo = response.read()
res = json.loads(jo)
results['results'].append(res)
totalUttProcessed = totalUttProcessed + 1
print "totalUttProcessed:" + str(totalUttProcessed)
# wait a bit, then query again for another utt.
# time.sleep(0.3) # Time in seconds. consider limit of 5 calls per second
time.sleep(
0.2
) # 0.2 should be enough, as query itself takes time. Apiai is quicker than Luis and Watson.
domainName = domainFile[0:domainFile.rfind(".")]
print "domainName:" + domainName
saveJson2File(baseDestDir, domainName, results)
elapsed_time = time.time() - start_time
print "==== APIAI query finished ==== Elapsed Time: " + str(elapsed_time)
def __init__(self, client_access_token):
self.ai = apiai.ApiAI(client_access_token)
self.request = self.ai.text_request()
self.request.land = 'en'
records = news_records.find({"sender_id": user_id})
return records
def pushRECORD(record):
"""
function to push news record to collection
"""
news_records.insert_one(record)
####################################################################################
# api.ai client
APIAI_ACCESS_TOKEN = "APIAI_ACCESS_TOKEN"
ai = apiai.ApiAI(APIAI_ACCESS_TOKEN)
# endpoint of the news API
GNEWS_API_ENDPOINT = "https://gnewsapi.herokuapp.com"
# available news categories
news_categories = [('sports', 'sports news'), ('political', 'political news'),
('business', 'business news'),
('top stories', 'top stories news'),
('world', 'world news'), ('national', 'national news'),
('technology', 'technology news'),
('entertainment', 'entertainment news')]
# a help message
HELP_MSG = """
Hey! I am NewsBot.
def call_api(dict_input):
global out_dict
out_dict = {}
out_dict['messageText'] = []
out_dict['messageSource'] = 'messageFromBot'
ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
request = ai.text_request()
request.lang = 'de'
request.resetContexts = False
request.session_id = dict_input['user_id']
user_id = request.session_id
request.query = dict_input['messageText']
print(request.query)
global item
response = yaml.load(request.getresponse())
pp = pprint.PrettyPrinter(indent=4)
json_data = response['result']['parameters']
pp.pprint(response)
df = pd.read_csv('harvey.csv')
if response['result']['metadata'] == {}:
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
return out_dict
elif response['result']['metadata'][
'intentName'] == 'Default Fallback Intent':
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
return out_dict
elif response['result']['metadata'][
'intentName'] == 'Default Welcome Intent':
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
return out_dict
elif response['result']['metadata']['intentName'] == 'best_sellers':
out_dict['messageText'].append('Here is what is trending right now..')
out_dict["plugin"] = {'name': 'link', 'type': 'products', 'data': data}
return out_dict
elif response['result']['metadata']['intentName'] == 'hot_deals':
out_dict['messageText'].append(
'Here are some amazing deals that won\'t last long! Please have a look'
)
out_dict["plugin"] = {
'name': 'deals',
'type': 'products',
'data': deals,
'link': 'yes',
'values': 'https://www.harveynorman.com.au/hot-deals'
}
return out_dict
elif response['result']['metadata']['intentName'] == 'gift_cards':
out_dict['messageText'].append(
'Gift cards are always the best option when you stuck for gift ideas. Take a look below: '
)
out_dict["plugin"] = {'name': 'link', 'type': 'products', 'data': gift}
return out_dict
elif response['result']['metadata'] == {}:
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
return out_dict
elif response['result']['metadata'][
'intentName'] == 'Default Fallback Intent':
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
return out_dict
elif response['result']['metadata']['intentName'] == 'place_order':
if json_data['sub_sub_category'] == '':
if json_data['Product_sub_category'] == '':
if json_data['product_category'] == '':
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]
['speech'])
out_dict['plugin'] = {
'name': 'autofill',
'type': 'items',
'data': category
}
return out_dict
else:
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]
['speech'])
out_dict['plugin'] = {
'name': 'autofill',
'type': 'items',
'data': sub_items[json_data['product_category']]
}
return out_dict
else:
out_dict['messageText'].append(
response['result']['fulfillment']['messages'][0]['speech'])
out_dict['plugin'] = {
'name': 'autofill',
'type': 'items',
'data': sub_sub_items[json_data['Product_sub_category']]
}
return out_dict
else:
products = json_data['sub_sub_category']
lists = product_list(products)
link = df.loc[df['Items'] == products, 'Link']
out_dict["plugin"] = {
'name': 'lists',
'type': 'products',
'data': lists,
'link': 'yess',
'values': link
}
out_dict['messageText'].append(
'Here are the products according to your preference')
clear_context(user_id)
return out_dict
async def on_message(message):
mention = bot.user.mention
if message.content.startswith(mention):
anime = rq.get('https://kurusaki-webhook.herokuapp.com/').text
raw_msg = message.content.split("{}".format(mention))
msg = "".join(raw_msg[1:])
ai = apiai.ApiAI(apiai_token)
request = ai.text_request()
request.lang = 'en'
request.session_id = "<SESSION ID, UNIQUE FOR EACH USER>"
request.query = msg
response = request.getresponse()
rope = str(response.read())
rope = rope[rope.index("speech") + 10:]
rope = rope[0:rope.index("\"")]
if '$anime' in rope:
anime = rope.replace('$anime', anime)
await bot.send_message(message.channel, anime)
elif 'anime' not in rope:
await bot.send_message(message.channel, rope)
if "$time" in rope:
await bot.say(datetime.datetime.now())
if '$yukinno' in rope:
author_id = message.author.id
if author_id == 287369884940238849:
love = [
'I love you Yukinno', 'Yukkino, I love you!',
'I love you!', '<3'
]
ran_love = random.choice(love)
yukinno_love = rope.replace(rope, ran_love)
await bot.send_message(message.channel, yukinno_love)
elif message.author.id != 287369884940238849:
await bot.send_message(message.channel, rope)
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'Annie-e432eb58860b.json', scope)
gc = gspread.authorize(credentials)
wks = gc.open('Kurusaki_database_discord').sheet1
try:
msg = message.content
user_id = message.author.id
name = message.author.name
find_user_id = wks.find(user_id)
#setting up spreadsheets for updates
row = wks.find(user_id).row
points = wks.cell(row, 3).value
num_points = float(points)
if len(msg) <= 2 and len(msg) > 0:
new_value = wks.update_cell(row, 3, num_points + .50)
if len(msg) <= 10 and len(msg) > 2:
new_value = wks.update_cell(row, 3, num_points + .60)
if len(msg) <= 20 and len(msg) > 10:
new_value = wks.update_cell(row, 3, num_points + 1.20)
if len(msg) <= 30 and len(msg) > 20:
new_value = wks.update_cell(row, 3, num_points + 2.75)
if len(msg) <= 40 and len(msg) > 30:
new_value = wks.update_cell(row, 3, num_points + 3.00)
if len(msg) <= 50 and len(msg) > 40:
new_value = wks.update_cell(row, 3, num_points + 2.00)
if len(msg) <= 60 and len(msg) > 50:
new_value = wks.update_cell(row, 3, num_points + 4.50)
if len(msg) <= 70 and len(msg) > 60:
new_value = wks.update_cell(row, 3, num_points + 6.00)
if len(msg) <= 80 and len(msg) > 70:
new_value = wks.update_cell(row, 3, num_points + 7.50)
if len(msg) <= 90 and len(msg) > 80:
new_value = wks.update_cell(row, 3, num_points + 9.20)
if len(msg) <= 100 and len(msg) > 90:
new_value = wks.update_cell(row, 3, num_points + 10.55)
if len(msg) <= 110 and len(msg) > 100:
new_value = wks.update_cell(row, 3, num_points + 12.20)
except gspread.exceptions.CellNotFound:
print(
"Discord {} is not in Kurusaki's database yet.\nAttempting to add {} to database."
.format(name, name))
adding_user = wks.append_row([name, user_id, 2.00])
#reacting to discord user's message
try:
if "gay" in message.content.lower():
await bot.add_reaction(message, emoji='👌')
if "yukinno" in message.content.lower():
await bot.add_reaction(message, emoji='❤')
await bot.add_reaction(message, emoji='🌸')
await bot.add_reaction(message, emoji='😇')
if 'okay' in message.content.lower():
await bot.add_reaction(message, emoji='👌')
if 'gj' in message.content.lower():
await bot.add_reaction(message, emoji='👏')
if 'good job' in message.content.lower():
await bot.add_reaction(message, emoji='👏')
if 'goodjob' in message.content.lower():
await bot.add_reaction(message, emoji='👏')
if 'bye' in message.content.lower():
await bot.add_reaction(message, emoji='👋')
if 'bai' in message.content.lower():
await bot.add_reaction(message, emoji='👋')
if "<@287369884940238849>" in message.content.lower():
await bot.add_reaction(message, emoji='❤')
await bot.add_reaction(message, emoji='🌸')
await bot.add_reaction(message, emoji='😇')
re = 287369884940238849
send_id = int(message.author.id)
if send_id == re:
await bot.add_reaction(message, emoji='❤')
await bot.add_reaction(message, emoji='🌸')
await bot.add_reaction(message, emoji='😇')
if "michelle" in message.content.lower():
await bot.add_reaction(message, emoji='❤')
await bot.add_reaction(message, emoji='😇')
await bot.add_reaction(message, emoji='🌸')
if "poop" in message.content.lower():
await bot.add_reaction(message, emoji='🤔')
await bot.add_reaction(message, emoji='💩')
if "shit" in message.content.lower():
await bot.add_reaction(message, emoji='💩')
except:
pass
try: #message counter for users
#connecting to GSPREAD
scope = [
'https://spreadsheets.google.com/feeds',
'https://www.googleapis.com/auth/drive'
]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'Annie-e432eb58860b.json', scope)
gc = gspread.authorize(credentials)
wks = gc.open('Kurusaki_database_discord').sheet1
try:
user_msg = 1
user_id = message.author.id #user's id
user_row = wks.find(user_id).row #finds user's row
msg_value = wks.cell(user_row, 10).value #get user's msg value
if msg_value == "": #check if the user has empty value
adding_value = wks.update_cell(
user_row, 10, 1) #if user value is empty add value =1
else: #updating the user's new message value
msg_int = int(msg_value)
update_msg = wks.update_cell(user_row, 10, msg_int + user_msg)
except:
print("Could not add msg value")
except:
print("Could not connect to google spreadsheet")
await bot.process_commands(message)
def index(request):
if request.method == 'POST':
message = request.POST['message']
sessionID = request.POST['sessionID']
patientInfo_patientName = None
patientInfo_patientSurname = None
patientInfo_patientEhrid = None
patientInfo_isDoctor = False
#print("*****SESSION ID***** ",sessionID)
#print("\n\n*****USER STATUS*****\nUser: "******"\nIs authenticated: ",request.user.is_authenticated,"\n\n")
user_status = request.user.is_authenticated
if user_status:
if hasattr(request.user,"doctor"):
patientInfo_isDoctor = True
patientInfo_patientName = request.user.doctor.name
patientInfo_patientSurname = request.user.doctor.surname
else:
patientInfo_isDoctor = False
patientInfo_patientName = request.user.patient.name
patientInfo_patientSurname = request.user.patient.surname
patientInfo_patientEhrid = request.user.patient.ehrid
if message[:5] != "getE ":
#BECAUSE IJS SERVER ISN'T WORKING OTHER API
translation = translate(message,api_link="http://translation-api.docker-e9.ijs.si/translate?sentence=",yandex=True)
if translation != "":
message = translation
#print("*** message: ",message,"***\n")
contexts = [{
"lifespan": 5,
"name": "user_data",
"parameters": {
"is_authenticated": user_status,
"user_ehrid": patientInfo_patientEhrid,
"user_patientName": patientInfo_patientName,
"user_patientSurname": patientInfo_patientSurname,
"user_isDoctor": patientInfo_isDoctor
}
}]
ai = apiai.ApiAI(CLIENT_ACCESS_TOKEN)
request = ai.text_request()
request.session_id = sessionID
request.lang = 'en'
request.contexts = contexts
request.parameters = {"is_authenticated":user_status}
request.query = message
data = request.getresponse().read().decode('utf-8')
answer_json = json.loads(data)
print(answer_json)
text_answer = answer_json['result']['fulfillment']['messages'][0]['speech']
#print(text_answer)
data = ""
response_type = ""
url = ""
if 'data' in answer_json['result']['fulfillment']:
data = answer_json['result']['fulfillment']['data']['data']
response_type = answer_json['result']['fulfillment']['data']['responseType']
#print("RESPONSE TYPE: ",response_type)
url = answer_json['result']['fulfillment']['data']['url']
if url[:5] != "https" and url[0] != "/":
url = "https:" + url[5:]
#print("data: ",data)
return HttpResponse('{{"text_answer":"{0}","response_type":"{1}","data":"{2}","url":"{3}"}}'.format(text_answer,response_type,data,url))
else:
return render(request,'dfchatbox/index.html')