def get_info(search_query):
if isinstance(search_query, str):
search_query = str(search_query)
else:
return { "Error": "Pass a string, from mine.py [7]", "Result": [None] }
result = []
engineGoogle = Google(license=None, throttle=0.5, language=None)
engineBing = Bing(license=None, throttle=0.5, language=None)
engineTwitter = Twitter(license=None, throttle=0.5, language=None)
engineFacebook = Facebook(license=None, throttle=1.0, language='en')
engineWikipedia = Wikipedia(license=None, throttle=5.0, language=None)
engineFlickr = Flickr(license=None, throttle=5.0, language=None)
engineArray = [engineGoogle, engineBing, engineTwitter, engineFacebook, engineWikipedia, engineFlickr]
engineArray = [engineGoogle, engineTwitter]
'''
for i in range(1,2):
# result = result + ([repr(plaintext(para.text)) for para in engine[0].search(search_query, type=SEARCH, start=i, count=5)])
[result.append([result.append(repr(plaintext(para.text))) for para in engine.search(search_query, type=SEARCH, start=i, count=5)]) for engine in engineArray]
# print repr(plaintext(para.text))
# print repr(plaintext(para.url)) + '\n\n'
# result.append(repr(plaintext(para.text)))
'''
# Google
for i in range(1, 5):
result = result + ([para.text for para in engineGoogle.search(search_query, type=SEARCH, start=i, count=10)])
for i in range(1, 5):
result = result + ([para.text for para in engineTwitter.search(search_query, type=SEARCH, start=i, count=10)])
'''
# for i in range(1,2):
# result = result + ([repr(plaintext(para.text)) for para in engineBing.search(search_query, type=SEARCH, start=i, count=5)])
for i in range(1,2):
result = result + ([repr(plaintext(para.text)) for para in engineTwitter.search(search_query, type=SEARCH, start=i, count=10)])
# for i in range(1,2):
# result = result + ([repr(plaintext(para.text)) for para in engineFacebook.search(search_query, type=SEARCH, start=i, count=5)])
# for i in range(1,2):
# result = result + ([repr(plaintext(para.text)) for para in engineWikipedia.search(search_query, type=SEARCH, start=i, count=5)])
# for i in range(1,2):
# result = result + ([repr(plaintext(para.text)) for para in engineFlickr.search(search_query, type=SEARCH, start=i, count=5)])
'''
return { "Error": None, "Result": result }
# return { "Error": None, "Result": ['Hello World', 'Bye Bye Tommy'] }
def fetch_data(data="facebook.pickle",
friends_count=1000,
news_count=100,
key='REMOVED MY KEY'):
""" Fetches link data from given key for the specified number
of friends and the specified number of posts and saves it
to a facebook.pickle file
data: name of data file to save to (default: facebook.pickle)
friends_count: number of friends to search through (default: 1000)
news_count: number of each friends' posts to search through (default: 100)
key: the key for pattern to access Facebook
"""
print "Fetching data..."
# Get the data
fb = Facebook(license=key)
me = fb.profile()
print me
counter = 1
link_counts = {"num_posts": 0, "num_links": 0, "num_texts": 0}
my_friends = fb.search(me[0], type=FRIENDS, count=friends_count)
for friend in my_friends:
print counter
counter += 1
friend_news = fb.search(friend.id, type=NEWS, count=news_count)
for news in friend_news:
link_counts["num_posts"] += 1
if news.url:
link_counts["num_links"] += 1
if news.url in link_counts:
link_counts[news.url][0] += 1
link_counts[news.url][1] += news.likes
else:
link_counts[news.url] = [1, news.likes]
# Save the data to a file
f = open(data, 'w')
cPickle.dump(link_counts, f)
f.close()
# Search for all status updates that contain the word "horrible".
try:
# We'll store the status updates in a Datasheet.
# A Datasheet is a table of rows and columns that can be exported as a CSV-file.
# In the first column, we'll store a unique id for each status update.
# We only want to add new status updates, i.e., those we haven't seen yet.
# With an index on the first column we can quickly check if an id already
# exists.
table = Datasheet.load(pd("opinions.csv"))
index = set(table.columns[0])
except:
table = Datasheet()
index = set()
fb = Facebook()
# With Facebook.search(cached=False), a "live" request is sent to Facebook:
# we get the most recent results instead of those in the local cache.
# Keeping a local cache can also be useful (e.g., while testing)
# because a query is instant when it is executed the second time.
for status in fb.search("horrible", count=25, cached=False):
print("=" * 100)
print(status.id)
print(status.text.encode("utf-8"))
print(status.author) # Yields an (id, name)-tuple.
print(status.date)
print(status.likes)
print(status.comments)
print()
# Only add the tweet to the table if it doesn't already exists.
from pattern.web import Facebook, NEWS, COMMENTS, LIKES fb = Facebook(license='CAACEdEose0cBAD0FqhYX26Tg9h7062f5KxELjcZC6mt91UeyRYNeUJb8WZA\ eJZCELWSCqqeTL7SkwbVkgyV3PxVXCnNoa0o6ywdNtSa0AmW8n7oifV5l5ImQZBBXSWD9lEE8o4pggBz\ p9NLV5x4vqcwdyW2xZB9CcHCylZBqURoQqrwZBcpTdZATZCs5BkX0WP964JdWoO7quMg40HImUv6WA') me = fb.profile(id='10203550007847585') def get_posts(): for post in fb.search(me[0], type=NEWS, count=10): print 'post :'+ repr(post.text) +' likes :'+ repr(post.likes) #Navegue, acceda al chat, mire videos, revise sus correos y redes sociales desde su celular. #Recargue el saldo de su telefono y adquiera el Paquete de Internet en cualquier momento y lugar. Solo tiene que enviar un mensaje de texto al 779 con la palabra clave indicada en el siguiente recuadro: #200 MB 5D #700 MB 10D
# This example retrieves facebook publis status updates containing given keyword.
try:
# We store status in a Table that can be saved as a text file.
# In the first column, we'll store a unique ID for each tweet.
# We only want to add the latest facebook status, i.e. those we haven't previously encountered.
# With an index on the first column we can quickly check if an ID already exists.
# The index becomes important once more and more rows are added to the table (speed).
table = Datasheet.load("travel.txt")
index = dict.fromkeys(table.columns[0], True)
except:
table = Datasheet()
index = {}
engine = Facebook()
# With cached=False, a live request is sent to Facebook,
# so we get the latest results for the query instead of those in the local cache.
for status in engine.search("Travelling to", count=25, cached=False):
print status.description
print status.author
print status.date
print
id = status.url
# Only add the tweet to the table if it doesn't already contain this ID.
if len(table) == 0 or id not in index:
table.append([id, status.description])
index[id] = True
table.save("travel.txt")
# -*- coding: utf-8 -*-
"""
Pattern.web can be used to extract information from Wikipedia, Facebook, Twitter, etc
Find out more: https://www.clips.uantwerpen.be/pages/pattern-web
"""
from pattern.web import Facebook
from pattern.en import sentiment
from pattern.web import Facebook, NEWS, COMMENTS, LIKES
fb = Facebook(license='568752540312810')
me = fb.profile(id=568752540312810) # user info dict
for post in fb.search(me['id'], type=NEWS, count=100):
print repr(post.id)
print repr(post.text)
print repr(post.url)
if post.comments > 0:
print '%i comments' % post.comments
print [(r.text, r.author) for r in fb.search(post.id, type=COMMENTS)]
if post.likes > 0:
print '%i likes' % post.likes
print [r.author for r in fb.search(post.id, type=LIKES)]
"""
facebook = Facebook()
someTweet = None
feeling = ""
for j in range(1):
for post in facebook.search('Teressa May', start=someTweet, count=1):
