import requests

__author__ = 'Nicholas'

#!/usr/bin/env python

# -*- coding: utf-8 -*-

import tweepy, time, sys

import urllib2

import simplejson

import cStringIO

from PIL import Image

from PyDictionary import PyDictionary

import sbi

# Initialize the dictionary

dictionary=PyDictionary()

# Links this bot to the Twitter account: RelatedWordsBot

CONSUMER_KEY = 'I9UkSxDNjbvYDtUQnmJGF2SAH'

CONSUMER_SECRET = 'YkEv5PXQtaux1yf8duN1CUYWPaMpyroBQSNXmN24fmHiAQtDMd'

ACCESS_KEY = '4340105542-dBRVFG4Z4MFjsHmZq7gBHO98rH2rHfyxMsjftJp'

ACCESS_SECRET = 'oUEbFlcQBCYnp1fRKbGNefegyLPsEs3DwjVVCqx9RdnGF'

auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)

auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)

api = tweepy.API(auth)

# Access most recent Tweet from account

tweets = api.user_timeline('RelatedWordsBot')

mostRecent = tweets[0]

contents = str(mostRecent.text)

index = 0

for x in range(0, len(contents)):

if (contents[x] == " "):

index = x

# Word to generate related word from

searchWords = contents.split(" ")

searchWord = searchWords[len(searchWords) - 2].replace(" ", "")

relatedWords = dictionary.synonym(searchWord)

relatedWord = relatedWords[0]

# Word previously generated by bot

prevWord = contents[0 : index]

# Get the image previously generated by the bot

for media in mostRecent.entities.get("media",[{}]):

#checks if there is any media-entity

if media.get("type",None) == "photo":

# checks if the entity is of the type "photo"

imgUrl = media["media_url"]

# save to file etc.

result = sbi.search_by(url=imgUrl)

fetcher = urllib2.build_opener()

searchTerm = relatedWord

# Download image using Bing Search

bing_url = 'https://api.datamarket.azure.com/Bing/Search/Image'

bing_api_key = 'b+otGGjd4HkdQTANFMjLpgaOEmTGDtR38z5JBlCwGPw'

bing_auth = requests.auth.HTTPBasicAuth(bing_api_key, bing_api_key)

bing_page_count = 1

bing_headers = {'User-Agent':'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; FDM; .NET CLR 2.0.50727; InfoPath.2; .NET CLR 1.1.4322)'}

def getFirstImg(subject):

return None

imageUrl = getFirstImg(relatedWord)

file = cStringIO.StringIO(urllib2.urlopen(imageUrl).read())

img = Image.open(file)

file2 = cStringIO.StringIO(urllib2.urlopen(imgUrl).read())

img2 = Image.open(file2)

### Combine Images ###

sameSize = img2.resize(img.size)

background = img.convert("RGB")

sameSize = sameSize.convert("RGB")

new_img = Image.blend(background, sameSize, 0.5)

img_loc = "/home/nbond/Python/TwitterBots/new.jpg"

new_img.save(img_loc)

status = prevWord + " " + searchTerm.capitalize()

# Update status with related word and merged image

api.update_with_media(filename=img_loc, status=status)