def hot_hashtag_all(cari):
ID = input_database()
hasil = []
hasil = ID.select_hashtag_all()
gg.Graf(hasil)
hasil_all = {'graf_image': ''}
return hasil
def chart_analysis_generate_by_date(cari):
ID = input_database()
hasil = []
tweet = ID.select_tweet_date(cari[0], cari[1])
retweet = ID.select_retweet_date(cari[0], cari[1])
for i in tweet:
hasil.append(i['SA'])
for j in retweet:
hasil.append(j['SA'])
return hasil
def word_cloud_generate_by_date(cari):
ID = input_database()
tweet = ID.select_tweet_date(cari[0], cari[1])
retweet = ID.select_retweet_date(cari[0], cari[1])
hasil = []
for i in tweet:
hasil.append(i['tweet'])
for j in retweet:
hasil.append(j['retweet'])
image = gg.Word(hasil)
data = {'link': image}
return data
def graph_network(cari):
hasil = []
hasil_all = []
"""
Bentuk data
hasil = ['pondokpinang','pasfriend','dll']
"""
ID = input_database()
tweet = ID.select_tweet()
hasil_all['node'] = ID.select_hashtag()
for i in hasil_all['node']:
select_network = ID.select_network()
if len(select_network) > 2:
for j in select_network:
print('database')
if len(search_network) == 2:
print("database")
hasil_all['edge'] = hasil
return hasil_all
"""
def pencarian(cari, key):
from Lib.NLP import NLP
twitter = key
NLP = NLP()
getminedata = NLP.MineData(twitter, cari, 2)
dp = NLP.ProsesStoreData(getminedata)
#psn = dp[0].append(dp[1])
#df = NLP.ProcessSentiment(psn)
#dfs = NLP.ProcessHashtags(getminedata)
#dft = NLP.ProcessTimestamp(getminedata)
"""
Proses Memasukan Data ke dalam Database sql
"""
ID = input_database()
ID.masuk_tweet(dp[1]) #tabel tweet
ID.masuk_retweet(dp[0]) #tabel retweet
#ID.sambungan(dp[1]) #tabel_cari
#Export Grap dari Class Grap_Generate
#gg.Word(dp)
return (dp)