import os
import pandas as pd
from NaturalLanguageAnalyzer import NaturalLanguageAnalyzer

data_directory = 'data'

file_list = os.listdir(data_directory)
dfs = []
for file_name in file_list:
    file_path = os.path.join(data_directory, file_name)
    df = pd.read_csv(file_path, sep='\t', encoding='utf-8')
    df_user = df[df['role'] == 'user'].drop('role', axis=1)
    dfs.append(df_user)

combined_df = pd.concat(dfs, ignore_index=True)

for text, act in zip(combined_df["value"].values, combined_df["act"].values):
    nla = NaturalLanguageAnalyzer()
    user_act = nla.process(text)
    print(user_act)
    print(act)
    print()