class cryptonews():
def __init__(self, key):
self.key = key
self.api = CryptoControlAPI(key)
self.proxyApi = CryptoControlAPI(
key, "http://cryptocontrol_proxy/api/v1/public")
def enableSentiment(self):
self.sentiment = True
def top_news(self, lang=None):
return self.api.getTopNews(language=lang)
def news_by_coin(self, coin, lang=None):
return self.api.getTopNewsByCoin(coin=coin, language=lang)
def get_top_tweets(self, coin, lang=None):
return self.api.getTopTweetsByCoin(coin=coin, language=lang)
def get_reddit(self, coin, lang=None):
return self.api.getLatestRedditPostsByCoin(coin=coin, language=lang)
def get_top_feed(self, coin, lang):
return self.api.getTopFeedByCoin(coin=coin, language=lang)
def get_latest(self, coin, lang):
return self.api.getLatestItemsByCoin(coin=coin, language=lang)
def get_coinDetails(self, coin, lang):
return self.api.getCoinDetails(coin=coin, language=lang)
# Connect to a self-hosted proxy server (to improve performance) that points to cryptocontrol.io
proxyApi = CryptoControlAPI(key2, "http://cryptocontrol_proxy/api/v1/public")
# Get top news
print(pd.DataFrame(api.getTopNews()))\
# returned dataframe can be viewed fully in the csv file, same for the other dataframes
pd.DataFrame(api.getTopNews()).to_csv('section1/task3/topnews.csv', index=False)
# get latest russian news
print(pd.DataFrame(api.getLatestNews("ru")))
# # get top bitcoin news
print(pd.DataFrame(api.getTopNewsByCoin("bitcoin")))
# get top EOS tweets
print(pd.DataFrame(api.getTopTweetsByCoin("eos")))
# get top Ripple reddit posts
print(pd.DataFrame(api.getLatestRedditPostsByCoin("ripple")))
# get reddit/tweets/articles in a single combined feed for NEO
feed = pd.DataFrame(api.getTopFeedByCoin("neo"))
print(feed)
# get latest reddit/tweets/articles (seperated) for Litecoin
print(pd.DataFrame(api.getLatestItemsByCoin("litecoin")))
# get details (subreddits, twitter handles, description, links) for ethereum
links = api.getCoinDetails("ethereum")['links']
print(pd.DataFrame(links))
df = pd.DataFrame(bitcoin)
df = df.drop([
'similarArticles', 'coins', 'source', 'description', 'originalImageUrl',
'url', 'thumbnail'
],
axis=1)
df.to_csv('bitcoin_data.csv', index=False)
# get top EOS tweets
eos = api.getTopTweetsByCoin("eos")
df = pd.DataFrame(eos)
df = df.drop(['text', 'url'], axis=1)
df.to_csv('eos_data.csv', index=False)
# get top Ripple reddit posts
ripple = api.getLatestRedditPostsByCoin("ripple")
df = pd.DataFrame(ripple)
df = df.drop([
'similarArticles', 'coins', 'source', 'description', 'originalImageUrl',
'url', 'thumbnail'
],
axis=1)
df.to_csv('ripple_data.csv', index=False)
# get reddit/tweets/articles in a single combined feed for NEO
neo = api.getTopFeedByCoin("neo")
df = pd.DataFrame(neo)
df1 = pd.DataFrame(df[df['type'] == 'article'].article.tolist())
df2 = pd.DataFrame(df[df['type'] == 'reddit'].reddit.tolist())
df3 = pd.DataFrame(df[df['type'] == 'tweet'].tweet.tolist())
df1 = df1.drop([
save_csv(tct, 'top_coin_tweets.csv')
# get latest tweets by coin
latest_coin_tweets = api.getLatestTweetsByCoin('bitcoin')
lct = format_df(latest_coin_tweets)
save_j(latest_coin_tweets, 'latest_coin_tweets.json')
save_csv(lct, 'latest_coin_tweets.csv')
# get Get top reddit posts for a particular coin
top_coin_reddits = api.getTopRedditPostsByCoin("bitcoin")
tcr = format_df(top_coin_reddits)
save_j(top_coin_reddits, 'top_coin_reddits.json')
save_csv(tcr, 'top_coin_reddits.csv')
# get latest Ripple reddit posts
latest_coin_posts = api.getLatestRedditPostsByCoin("ripple")
lcp = format_df(latest_coin_posts)
save_j(latest_coin_posts, 'latest_coin_post.json')
save_csv(lcp, 'latest_coin_posts.csv')
# get reddit/tweets/articles in a single combined feed for NEO(sorted by time)
top_coin_feed = api.getTopFeedByCoin("bitcoin")
tcf = format_df(top_coin_feed)
save_j(top_coin_feed, 'top_coin_feed.json')
save_csv(tcf, 'top_coin_feed.csv')
# get a combined feed (reddit/tweets/articles) for a particular coin
# (sorted by relevance)
latest_coin_feed = api.getLatestFeedByCoin('bitcoin')
lcf = format_df(latest_coin_feed)
save_j(latest_coin_feed, 'latest_coin_feed.json')