import csv
import json
from langdetect import detect

def get_language(text):
    try:
        return detect(text)
    except:
        return "Unknown"

def read_json_file_line_by_line(file_path):
    data_list = []
    with open(file_path, 'r') as file:
        for line in file:
            try:
                # data = json.loads(line.strip())
                # Detecting language for "Human" and "Assistant" values
                human_language = get_language(line)
                # print(human_language)
                # print(line)
                
                data_list.append({
                    'Human Language': human_language,
                    'Line': line
                })
                
            except json.JSONDecodeError as e:
                print(f"Error decoding JSON: {e}")
                continue
            except KeyError as e:
                print(f"Error accessing key in JSON: {e}")
            continue
                
    return data_list
            
def write_to_text_file(file_path, data_list):
    with open(file_path, 'w', encoding='utf-8') as file:
        for data in data_list:
            line = f"{data['Human Language']},{data['Line']}\n"
            file.write(line)

if __name__ == "__main__":
    json_file_path = "/home/rainer/Downloads/oobabooga_linux/openassistant_best_replies_train.jsonl"
    text_file_path = "/home/rainer/Downloads/oobabooga_linux/openassistant_best_replies_train_with_lang.jsonl"
    data_list = read_json_file_line_by_line(json_file_path)
    write_to_text_file(text_file_path, data_list)