import pandas as pd
import xmltodict
from sklearn.model_selection import train_test_split
import glob
import sys
import os

filelist = glob.glob('*.jsonl')

for jsonfile in filelist:
    data = pd.DataFrame([['source','target']])
    temp = pd.DataFrame()
    
    print(f"Processing {jsonfile}")
    temp = pd.read_json(jsonfile, lines=True,encoding='utf8')
    errors = 0 
    for index, row in temp.iterrows():
        try:
            engnob = ['nob: '+str(row['en']),str(row['no'])]
            data.loc[len(data)] = engnob
            nobeng = ['eng: '+str(row['no']),str(row['en'])]
            data.loc[len(data)] = nobeng
            
        except:
            errors += 1
            print("Unable to convert this line")
            print(row)
    try:
        data['source'] = data['source'].str.replace('\t',' ')
        data['target'] = data['target'].str.replace('\t',' ')
    except:
        errors += 1
        print("Key error")

    data = data.sample(frac=1).reset_index(drop=True)

    filename = jsonfile.replace(".jsonl",".tsv")

    # Write the datasets to disk
    data.to_csv(filename, index=False, header=False, sep='\t')

print("Finished")