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 = []