def process(msg):
if msg.startswith('#') or msg.startswith('＃'):
pass
elif msg == u'新生指南':
return freshman.get_guidance(), "news"
elif msg == u'新闻' or msg == u'体育' or msg == u'体育新闻':
return news.getNews(msg), "news"
elif isinstance(msg, type('string')):
msg = msg.lower()
msg = msg.strip()
if msg == 'bbc world' or msg == 'bbc china' or msg == 'bbc' or msg == 'nba':
return news.getNews(msg), "news"
else:
return translate.translate(msg), "text"
#elif msg == u'新闻':
# return news_info, "text"
elif msg == u'校车' or msg == u'明天校车':
return xiaoche.get_timetable(msg), "text"
elif msg == u'摆渡车':
return ferrybus.get_timetable(msg), "text"
elif msg == u'环一' or msg == u'环1':
return huanyi.get_timetable(), "text"
elif msg == u'天气':
return weather.weather(), "text"
elif msg == u'空气':
return weather.get_airquality(), "text"
elif re.match(u"发状态", msg):
if msg[3:]:
return renren.renren_status(msg[3:]), "text"
else:
return u"请输入状态内容", "text"
else:
return u"无法处理请求，请查看使用说明\n" + help_info + report_info, "text"
def get_opinion(lang, lat, long, rad, name):
search.work(str(lang), str(lat) + ',' + str(long) + ',' + str(int(rad)) + 'mi')
news.getNews(name)
opinion = sentiment.run_sentiment_analysis('tweets.txt')
opinion += sentiment.run_sentiment_analysis('news.txt')
# Check for + or - in front of opinion
if opinion > 0:
opinion = "+" + str(opinion)
elif opinion < 0:
opinion = str(opinion)
else:
opinion = str(opinion)
# Make dictionary for send
senti = [
{
'Language': lang,
'Latitude': lat,
'Longitude': long,
'Radius': rad,
'Opinion': opinion
}
]
logging.info("Opinion of city is: " + opinion)
return jsonify(senti)
def index():
link_text, links = getNews()
counter = len(link_text)
return render('index.html',
link=links,
link_text=link_text,
counter=counter)
def news():
titles, content, url, image, time = getNews()
return render_template('news.html',
titles=titles,
content=content,
url=url,
image=image,
time=time)
def set_text(data):
opening = (
"Wake up Cian, it's {} . The sky is {} with current temperature {} . Here are some top headlines for today."
).format(
str(data["current_time"]),
str(data["sky"]),
str(data["temp"]),
)
return opening + getNews()
def get_opinion(lang, lat, long, rad, name):
search.work(str(lang), str(lat) + ',' + str(long) + ',' + str(int(rad)) + 'mi')
news.getNews(name)
twitterOpinion = sentiment.run_sentiment_analysis('tweets.txt')
newsOpinion = sentiment.run_sentiment_analysis('news.txt')
visual = images.process_image_search(name)
# Check for + or - in front of opinion
if newsOpinion > 0:
newsOpinion = "+" + str(newsOpinion)
elif newsOpinion < 0:
newsOpinion = str(newsOpinion)
else:
newsOpinion = str(newsOpinion)
if twitterOpinion > 0:
twitterOpinion = "+" + str(twitterOpinion)
elif twitterOpinion < 0:
twitterOpinion = str(twitterOpinion)
else:
twitterOpinion = str(twitterOpinion)
# Make dictionary for send
senti = [
{
'Language': lang,
'Latitude': lat,
'Longitude': long,
'Radius': rad,
'News Opinion': news,
'Twitter Opinion': twitterOpinion,
'Opinion': twitterOpinion + newsOpinion,
'Visual' : visual
}
]
logging.info("Opinion of city is: " + twitterOpinion + newsOpinion)
return jsonify(senti)
def newsfeed():
if request.method == 'POST':
publisher = request.form['publisher']
keyword = request.form['keyword']
results = nf.getNews(publisher,
keyword) # Call the API and get articles
if results == "none":
return "No articles found!"
else:
return render_template('result.html',
results=results[0],
os=results[1])
else: # GET request, do nothing here
return "Go back to the home page to search for articles!"
def stance(stance_id):
#gather stance data from db
data = db.stances.find_one({"stance_id":stance_id})
anti = data['anti']
rebuttal = data['rebuttal']
#use query from db to get recent news sources (list of dicts)
news = getNews(data['query'])
return render_template('stance.html',
name=data['name'],
anti_summary=anti['text'],anti_quotes=anti['quotes'],anti_pubs=anti['publications'],
rebut_summary=rebuttal['text'],rebut_quotes=rebuttal['quotes'],rebut_pubs=rebuttal['publications'],
ethos=data['ethos'],pathos=data['pathos'],logos=data['logos'],
sources=data['sources'],news=news
)
def updateNews():
global search, not_waiting
image_news = Image.open("assets/Newspaper.png")
image_news = image_news.resize((25, 25), Image.ANTIALIAS)
image_news = image_news.convert('RGB')
photo_news = ImageTk.PhotoImage(image_news)
news_icon_Label1.config(image=photo_news)
news_icon_Label2.config(image=photo_news)
news_icon_Label3.config(image=photo_news)
sources = [
"bbc-news", "espn", "cnn", "fox-sports", "marca", "the-verge",
"crypto-coins-news", "engadget", "ign", "abc-news",
"business-insider", "mtv-news", "national-geographic", "techradar"
]
contSource = 0
while (news):
if search == '':
if (contSource < len(sources)):
header = nw.getNews(contSource, sources)
news_Label.config(text="News")
event_Name_Label1.config(text=header[0])
event_Name_Label2.config(text=header[1])
event_Name_Label3.config(text=header[2])
contSource += 1
time.sleep(10)
else:
contSource = 0
time.sleep(10)
else:
display_message("Looking for " + search)
result = nw.searchNews(search)
news_Label.config(text="Search Results")
event_Name_Label1.config(text=result[0])
event_Name_Label2.config(text=result[1])
event_Name_Label3.config(text=result[2])
search = ''
time.sleep(5)
not_waiting = True
def bot():
incoming_msg = request.values.get('Body', '').lower()
incoming_num1 = request.values.get(
'To', '').lower() #although not necessary but still
incoming_num2 = request.values.get(
'From', '').lower() #the incoming message mobile number
current = str(datetime.datetime.now())
resp = MessagingResponse()
msg = resp.message()
completionMsg = "" #this is to store the displayed result
responded = False
now = datetime.datetime.now()
# now = datetime.now()
current_time = now.strftime("%H:%M:%S")
logs = "Current Time =", current_time + incoming_num2 + "Message : " + incoming_msg
print(logs)
if 'bothelp' in incoming_msg:
reply = "Hi I am PicoBot, How can I help you ?\n\nType 'contact' for developers contact \n\nType 'tasks' for list of available tasks"
msg.body(reply)
# msg.body("test msg")
responded = True
completionMsg = reply
elif ('covidhelp' in incoming_msg):
l = incoming_msg.split()
reply = ""
try:
city = l[1]
required = l[2]
leads = twitter.input_triggers_spinner(city, required)
print("Lead length=")
print(len(leads))
for lead in leads:
reply += "\n" + lead['full_text'] + "\n-----------------"
except:
reply = "Please put your query in given format"
msg.body(reply)
responded = True
completionMsg = reply
elif ('covidnews' in incoming_msg):
l = incoming_msg.split()
reply = ""
try:
category = l[1]
news = getNews(category)
newstock = news["data"]
for i in range(len(newstock)):
reply = news["data"][i]["title"] + "\n\n" + news["data"][i][
"content"]
alink = news["data"][i]["imageUrl"]
# msg.media(alink)
message.send(incoming_num2, reply, [alink])
except:
reply = "Please put your query in given format"
msg.body(reply)
responded = True
completionMsg = reply
elif ('covidvaccine' in incoming_msg):
if ('drive' in incoming_msg):
reply = cowin.states()
msg.body(reply)
responded = True
completionMsg = reply
elif ('state' in incoming_msg):
l = incoming_msg.split()
id = int(l[2])
reply = cowin.districts(id)
# except:
# reply= "Please put your query in given format"
msg.body(reply)
responded = True
completionMsg = reply
else:
l = incoming_msg.split()
reply = ""
# try:
# pincode = l[1]
# date = l[2]
# min_age_limit = 45
# reply = cowin.driver(pincode,date,min_age_limit)
# except:
# reply= "Please put your query in given format"
pincode = l[1]
# date = l[2]
min_age_limit = 45
reply = cowin.driver(pincode)
# print(reply[10])
try:
msg.body(reply[:699])
except:
msg.body(reply)
responded = True
completionMsg = reply
if 'covidinfo' in incoming_msg:
l = incoming_msg.split()
state = 'india'
if (len(l) > 1):
state = ""
for i in l[1:]:
state += i + " "
state = state[:-1]
c, r, d, a = statistics.driver(state)
reply = "\n✅Confirmed: " + str(c) + "\n✅Recovered: " + str(
r) + "\n✅Active: " + str(a) + "\n✅Deceased: " + str(d)
msg.body(reply)
responded = True
completionMsg = reply
if 'contact' in incoming_msg:
reply = "Hi I am Gauransh Soni\nSophomore @ IIT Delhi\nEmail - [email protected]\nContact No. 9462447291"
msg.body(reply)
responded = True
completionMsg = reply
if 'task' in incoming_msg:
reply = "Here is a list of items I can do\n1)Type 'covidhelp <cityname> <Oxygen or Remedesivir or Plasma>' to get recent leads for asked item\n2)Type 'covidinfo <state>' to get recent statistics of covid cases in your state\n3)Type 'emergency <pincode>' to get the contact number of emergency services in your area\n4)Type 'covidvaccine <pincode>' to check availability of vaccine in your area\n5)Type 'help' to get more info"
msg.body(reply)
responded = True
completionMsg = reply
if 'quote' in incoming_msg:
# return a quote
r = requests.get('https://api.quotable.io/random')
if r.status_code == 200:
data = r.json()
quote = f'{data["content"]} ({data["author"]})'
else:
quote = 'I could not retrieve a quote at this time, sorry.'
msg.body(quote)
responded = True
completionMsg = quote
if 'aurbhai' in incoming_msg:
# return a cat pic
msg.body('I love cats')
msg.media('https://cataas.com/cat')
responded = True
completionMsg = 'https://cataas.com/cat'
if 'wallpaper' in incoming_msg:
l = incoming_message.split()
url = l[1]
try:
from googlesearch import search
except ImportError:
print("No module named 'google' found")
completionMsg = "No module named 'google' found"
# to search
query = url + " unsplash"
for j in search(query, tld="co.in", num=1, stop=4, pause=2):
if "https://unsplash.com/s/photos" in j:
url = j
a = urllib.request.urlopen(url, context=ctx).read()
soup = bs(a, 'html.parser')
L = soup.find_all('a', {'title': "Download photo"})
x = randint(1, len(L) - 1)
alink = L[x].get('href')
msg.media(alink)
completionMsg = alink
responded = True
if 'unsplash' in incoming_msg:
# return a cat pic
msg.body('Here You Go ')
un_img = 'https://source.unsplash.com/random'
msg.media(un_img)
responded = True
completionMsg = un_img
if 'spam' in incoming_msg:
# spams
l = incoming_msg.split()
countSpam = int(l[1])
mess = " ".join(l[2:])
for i in range(countSpam):
msg.body(mess)
completionMsg = "Succesfully spammed"
responded = True
if 'dank-joke' in incoming_msg:
#sends a random dank joke
responseDog = requests.get(
"https://sv443.net/jokeapi/v2/joke/Any?type=single")
l = responseDog.json()
msg.body(l['joke'])
completionMsg = l['joke']
responded = True
if 'dict' in incoming_msg:
headersDict = {
'Authorization': 'Token e3d0b4298a9592eb23efa0419b031d2ffadc94d4',
}
urlForDict = 'https://owlbot.info/api/v4/dictionary/'
incoming_msg = 'dict cat'
l = incoming_msg.split()
searchTerm = l[1]
urlForDict += searchTerm
response = requests.get(urlForDict, headers=headersDict)
ans = response.json()
pronounciation = ans['pronunciation']
defination = ans['definitions'][0]['definition']
img = ans['definitions'][0]['image_url']
example = ans['definitions'][0]['example']
returnString = "*Defination* : " + defination + "\n" + "*usage*: " + example
msg.body(returnString)
msg.media(img)
completionMsg = "successfully sent"
responded = True
if 'que' in incoming_msg:
import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
import ssl
from bs4 import BeautifulSoup as bs
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = ' '.join(incoming_msg.split()[1:])
try:
from googlesearch import search
except ImportError:
print("No module named 'google' found")
# to search
query = url + " stackoverflow"
for j in search(query, tld="co.in", num=1, stop=1, pause=2):
url = j
a = urllib.request.urlopen(url, context=ctx).read()
soup = bs(a, 'html.parser')
L = soup.find_all('div', {'class': 'post-text'})
i = L[1]
msg.body(i.text)
print(i.text)
completionMsg = i.text
responded = True
if not responded:
msg.body('type bothelp')
completionMsg = "Job Done"
row = [
current, incoming_num1[9:], incoming_num2[9:], incoming_msg,
completionMsg
]
f = open("output.txt", "a")
if incoming_msg != "":
myadd = ""
for string in row:
myadd += string + " "
f.write(myadd + "\n")
f.close()
# sheet.insert_row(row,index=2)
return str(resp)
fi = open(str(filename) + "-" + str(n) + ".txt", 'w')
fi.write(verses.decode("UTF-8").encode("UTF-16"))
if len(sys.argv) > 1:
filename = sys.argv[1]
else:
filename = "news"
cmu_reader = nltk.corpus.cmudict
#print "building cmu dict..."
cmu_dict = cmu_reader.dict()
cmu_words = cmu_reader.words()
nsents = news.getNews()
nwords = []
for sent in nsents:
lsent = sent.split(" ")
nwords.extend(lsent)
plwords = []
plwords.extend(nltk.corpus.gutenberg.words('milton-paradise.txt')[20:1000])
plwords.extend(nwords)
grams = nltk.util.trigrams(plwords)
bigrams = nltk.util.bigrams(plwords)
cfdtri = nltk.ConditionalFreqDist([((w1,w2),w3) for (w1, w2, w3) in grams])
cfdbi = nltk.ConditionalFreqDist(bigrams)
generate(filename, 1, 1000)
def on_json(self, request, source):
knownSources = [val for val in source.split('+') if val in news.sources.keys()]
#print(repr(knownSources))
if(len(knownSources)<=0): raise NotFound()
return Response([news.getNews(knownSources)])
