import pandas as pd
from tqdm import tqdm
import joblib

if __name__ == '__main__':
    df_scores = pd.read_csv('../../AVA_src/AVA.txt',sep = " ",header = None)
    df_scores.columns = df_scores.columns + 1
    df_scores = df_scores.drop(columns=df_scores.columns[0], axis=1)
    df_tags = pd.read_csv('../../AVA_src/tags.txt',sep = "|",header = None)
    
    dict_tags = {0:'None'}
    for row in df_tags.iterrows():
        row = row[1]
        dict_tags[row[0]] = row[1]
        
    dict_ = {}
    for idx in tqdm(range(len(df_scores))):
        row = df_scores.iloc[idx,:]
        _id = row[2]
        ratings = row.values[1:11]
        textual_tag0 = dict_tags[row[13]]
        textual_tag1 = dict_tags[row[14]]
        dict_[_id] = (ratings,textual_tag0,textual_tag1)
    joblib.dump(dict_,"../data/metadata.pkl")