def __init__(self):
self.config = {
'user': '******',
'password': '******',
'host': 'mthx.cafe24.com',
'database': 'chatbot',
'raise_on_warnings': True
}
self.db = dbConMysql(self.config)
def __init__(
self,
incTags=['NN', 'NR', 'NP', 'VA', 'VV', 'SF', "MA", "MD", "XS"],
dbConfig={
'user': '******',
'password': '******',
'host': 'mthx.cafe24.com',
'database': 'chatbot',
'raise_on_warnings': True
},
isLogOut=True):
self.isLogOut = isLogOut
if (self.isLogOut): print("[Chatbot mod] created")
self.lIncTags = incTags
self.db_config = dbConfig
self.db = dbConMysql(self.db_config)
if (self.isLogOut): print("[Chatbot mod] db is created.")
self.komohelper = komoHelper()
self.komohelper.UpdateTextFile("userDict.txt")
self.komoran = Komoran()
self.komoran.set_user_dictionary("userDict.txt")
self.state = 0
def openDB(self, dbInfo):
self.db = dbConMysql(dbInfo)
def __init__ ( self, contentID ) :
self.db = dbConMysql()
komohelper = komoHelper()
komoran = Komoran()
# Include Tag lists
listIncTag = ['NN','NR','NP','VA','VV','SF',"MA","MD","XS"]
config = {
'user': '******',
'password': '******',
'host': 'mthx.cafe24.com',
'database': 'chatbot',
'raise_on_warnings': True
}
db = dbConMysql( config )
dlg_ret = db.selectQuery( "select * from tDlgTest" )
#print( dlg_ret[0]['reply'] )
#exit(0)
# 학습하려면 pandas가 있어야 되는 듯한 느낌이다. vector 처리할 거니까..
# 나중엔 다른 방법으로도 할 수 있지만. 일단은 pandas에 써볼까?
# create pandas
df_dlg = pd.DataFrame( dlg_ret )
print( df_dlg )
nShape = df_dlg.shape[0]
print( nShape )
listTokens_s = []