Driver.py

import datetime
from Database.Database import database
from TwitterFiles.TrendTwitter import TrendTwitter
from TwitterFiles.SentimentalAnalysis import SentimentEngine

main_locations = ['india', 'world']

all_locations = ['world',
                 'india',
                 'newyork',
                 'toronto',
                 'sydney',
                 'london',
                 'madrid',
                 'paris',
                 ]


TrendData = {}
TrendDB_name = 'TrendDB'
TrendDB = database(TrendDB_name)

for location in all_locations:
    obj = TrendTwitter(location)
    TrendData[location] = obj.getTrends()

TrendDB.dump(TrendData)

SentimentData = {}
SentimentDB_name = 'SentimentDB'
SentimentDB = database(SentimentDB_name)

KeywordData = {}
KeywordDB_name = 'KeywordDB'
KeywordDB = database(KeywordDB_name)


for location in main_locations:
    obj = TrendTwitter(location)
    Trends = obj.getTrends()
    SentimentData[location] = []

    for num,Trendname in enumerate(Trends):
        Trend = SentimentEngine(Trendname)
        TrendScore = {}
        
        
        Trend.sentimental_analysis()
        Trend.keyword_extraction()
        
        Keywords = Trend.get_keywords()
        
        
        postive, negative = Trend.get_sentiment_scores()
        TrendScore['name'] = Trendname
        TrendScore['rank'] = num + 1
        TrendScore['positive'] = postive
        TrendScore['negative'] = negative
        
        KeywordData[Trendname] = Keywords
        
        

        SentimentData[location].append(TrendScore)
    
SentimentDB.dump(SentimentData)
KeywordDB.dump(KeywordData)