def test_tweetio_read_train(self):
pd.set_option("display.max_rows",100)
pd.set_option("display.max_columns",100)
coin = Coin()
coin.name = 'neo'
coin.read_from_storeage('train')
print(coin.data_to_predict)
print("test case finishes.")
def test_tweetio_read_predict(self):
pd.set_option("display.max_rows",100)
pd.set_option("display.max_columns",100)
tio = TweetIO()
coin = Coin()
coin.name = 'omg'
nowdt = datetime.now()
argtime='2018-04-14_16-00-00'
coin.read_from_storeage('rt','runtime/'+argtime+'/')
print(coin.data_to_predict)
print("test case finishes.")
def test_increase_one_hour(self):
cointrain = CoinTrain()
#df=pd.DataFrame(index=['year', 'month','day','hour'],columns=[i],data=)
coin = Coin()
coin.path = "./data/altcoin-1hour/neo.csv"
coin.name = "neo"
coin.ico = "2017-12-31"
coin.read_from_storeage("prepare2")
gtdf = coin.gtdf
idx = gtdf.index
gtdf.index = idx.set_names(['year', 'month', 'day', 'hour'])
print(gtdf['sum_neumulfollower'].tail(27))
gtdf = cointrain.increase_by_one_hour(gtdf)
print(gtdf['sum_neumulfollower'].tail(27))
import pandas as pd
print('Main starts')
#cinfo=CoinInfo()
#coinlist=cinfo.list_coins('./data/altcoin-1hour')
## choosing first one: neo
#coin=coinlist[19]
coin = Coin()
coin.path = "./data/altcoin-1hour/ada.csv"
coin.name = "ada"
coin.ico = "2017-10-01"
#coin.ico="2016-02-17"
tweetio = TweetIO()
coin.read_from_storeage("prepare1")
print(coin.tweets.columns)
print(coin.retweets.columns)
df = tweetio.sort_and_clip(coin.tweets, coin.ico)
coin.tweets = df
## MULTIPLYING RETWEETS FOLLOWERS
print("multiplying nr. of retweet followers by sentiments.")
sentanalyzer = SentimentAnalyzer()
sentanalyzer.merge_tweets_with_retweets(coin)
#print(coin.tweets)
sentanalyzer.sent_mul_tweet_followers(coin)
sentanalyzer.sent_mul_retweet_followers(coin)
print(len(coin.retweets))
