import json
import os
from os import listdir
from os.path import isfile, join

INSTRUCT_CHUNKED_PROMPT = """你是一个擅长翻译科技新闻的翻译专家。请将以下内容翻译为中文，使用相同格式输出，并保留时间戳。不要漏掉任何信息。合并多行文本时，保留第一个和最后一个时间戳。
"""

def new_message(eng_in, chs_out, prev_in = None, prev_out = None):
    if(prev_in == None or prev_out == None):
        return {"messages": [
            {"role": "system", "content": INSTRUCT_CHUNKED_PROMPT}, 
            {"role": "user", "content": eng_in}, 
            {"role": "assistant", "content": chs_out}]
        }
    else:
        return {"messages": [
            {"role": "system", "content": INSTRUCT_CHUNKED_PROMPT}, 
            {"role": "user", "content": prev_in}, 
            {"role": "assistant", "content": prev_out},
            {"role": "user", "content": eng_in}, 
            {"role": "assistant", "content": chs_out}]
        }

def write_jsonl(message_groups, filename):
    with open(filename, "w", encoding='utf-8-sig') as fout:
        for i in range(len(message_groups)):
            if(i>0):
                msg_obj = new_message(
                    message_groups[i][0].strip(),
                    message_groups[i][1].strip(),
                    message_groups[i-1][0].strip(),
                    message_groups[i-1][1].strip()
                )
            else:
                msg_obj = new_message(
                    message_groups[i][0].strip(),
                    message_groups[i][1].strip()
                )
            json.dump(msg_obj, fout)
            fout.write("\n")

message_groups = []

DOCUMENT_ROOT = "data"
files = listdir("data")
files = list(filter(lambda x: x.endswith(".en.txt"), files))
files.sort()

print(files)

for f in files:
    en_fname = join(DOCUMENT_ROOT, f)
    if en_fname.endswith(".en.txt") and isfile(en_fname):
        cn_fname = join(DOCUMENT_ROOT, f.replace(".en.txt", ".cn.txt"))
        if os.path.exists(cn_fname) and isfile(cn_fname):
            print(f"Found data pair: {en_fname} and {cn_fname}")

            with open(en_fname, "r", encoding='utf-8-sig') as enfin:
                en_messages = enfin.read()

            with open(cn_fname, "r", encoding='utf-8-sig') as cnfin:
                cn_messages = cnfin.read()
            
            en_messages = [part.strip() for part in en_messages.split("\n\n") if part.strip() != ""]
            cn_messages = [part.strip() for part in cn_messages.split("\n\n") if part.strip() != ""]

            if(len(en_messages) != len(cn_messages)):
                print(f"English and Chinese version mismatch. Discarding {en_fname} pair.")
            
            messages = zip(en_messages, cn_messages)

            message_groups.extend(messages)

write_jsonl(message_groups, "combined.jsonl")

import random
random.shuffle(message_groups)

TEST_RATIO = 0.2

split_index = int(len(message_groups) * TEST_RATIO)

test = message_groups[:split_index]
train = message_groups[split_index:]

write_jsonl(train, "chatgpt-train.jsonl")
write_jsonl(test, "chatgpt-test.jsonl")

recent_files = files[-5:]
recent_messages = []

for f in recent_files:
    en_fname = join(DOCUMENT_ROOT, f)
    if en_fname.endswith(".en.txt") and isfile(en_fname):
        cn_fname = join(DOCUMENT_ROOT, f.replace(".en.txt", ".cn.txt"))
        if os.path.exists(cn_fname) and isfile(cn_fname):
            print(f"Found data pair: {en_fname} and {cn_fname}")

            with open(en_fname, "r", encoding='utf-8-sig') as enfin:
                en_messages = enfin.read()

            with open(cn_fname, "r", encoding='utf-8-sig') as cnfin:
                cn_messages = cnfin.read()
            
            en_messages = [part.strip() for part in en_messages.split("\n\n") if part.strip() != ""]
            cn_messages = [part.strip() for part in cn_messages.split("\n\n") if part.strip() != ""]

            if(len(en_messages) != len(cn_messages)):
                print(f"English and Chinese version mismatch. Discarding {en_fname} pair.")
            
            messages = zip(en_messages, cn_messages)

            recent_messages.extend(messages)

write_jsonl(recent_messages, "recent-combined.jsonl")

TEST_RATIO = 0.2

split_index = int(len(recent_messages) * TEST_RATIO)

test = recent_messages[:split_index]
train = recent_messages[split_index:]

write_jsonl(train, "chatgpt-recent-train.jsonl")
write_jsonl(test, "chatgpt-recent-test.jsonl")