{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "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，样例如下：\n",
    "输入：\n",
    "[10.54] Qualcomm has announced a new series of laptop processors [13.80]\n",
    "[13.80] representing a quantum leap forward [16.06]\n",
    "[16.06] in performance and power efficiency. [18.14]\n",
    "\n",
    "输出：\n",
    "[10.54] 高通发布了一系列新的手机处理器 [13.80]\n",
    "[13.80] 在性能和功耗上都取得了巨大的跃进 [18.14]\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def new_message(eng_in, chs_out, prev_in = None, prev_out = None):\n",
    "    if(prev_in == None or prev_out == None):\n",
    "        return {\"messages\": [\n",
    "            {\"role\": \"system\", \"content\": INSTRUCT_CHUNKED_PROMPT}, \n",
    "            {\"role\": \"user\", \"content\": eng_in}, \n",
    "            {\"role\": \"assistant\", \"content\": chs_out}]\n",
    "        }\n",
    "    else:\n",
    "        return {\"messages\": [\n",
    "            {\"role\": \"system\", \"content\": INSTRUCT_CHUNKED_PROMPT}, \n",
    "            {\"role\": \"user\", \"content\": prev_in}, \n",
    "            {\"role\": \"assistant\", \"content\": prev_out},\n",
    "            {\"role\": \"user\", \"content\": eng_in}, \n",
    "            {\"role\": \"assistant\", \"content\": chs_out}]\n",
    "        }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_jsonl(message_groups, filename):\n",
    "    with open(filename, \"w\") as fout:\n",
    "        for i in range(len(message_groups)):\n",
    "            if(i>0):\n",
    "                msg_obj = new_message(\n",
    "                    message_groups[i][0].strip(),\n",
    "                    message_groups[i][1].strip(),\n",
    "                    message_groups[i-1][0].strip(),\n",
    "                    message_groups[i-1][1].strip()\n",
    "                )\n",
    "            else:\n",
    "                msg_obj = new_message(\n",
    "                    message_groups[i][0].strip(),\n",
    "                    message_groups[i][1].strip()\n",
    "                )\n",
    "            json.dump(msg_obj, fout)\n",
    "            fout.write(\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "message_groups = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found data pair: data\\Apple, Are U Ok？ [34R2xVzBmfA].en.txt and data\\Apple, Are U Ok？ [34R2xVzBmfA].cn.txt\n",
      "Found data pair: data\\China lost its GPU privileges [Wz9JoTTRa4k].en.txt and data\\China lost its GPU privileges [Wz9JoTTRa4k].cn.txt\n",
      "Found data pair: data\\It's Finally Over. [KJF5Nn23CwM]-4k.en.txt and data\\It's Finally Over. [KJF5Nn23CwM]-4k.cn.txt\n",
      "Found data pair: data\\Watch Out, Apple... [5v72vj2nFN0].en.txt and data\\Watch Out, Apple... [5v72vj2nFN0].cn.txt\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from os import listdir\n",
    "from os.path import isfile, join\n",
    "\n",
    "DOCUMENT_ROOT = \"data\"\n",
    "files = listdir(\"data\")\n",
    "\n",
    "for f in files:\n",
    "    en_fname = join(DOCUMENT_ROOT, f)\n",
    "    if en_fname.endswith(\".en.txt\") and isfile(en_fname):\n",
    "        cn_fname = join(DOCUMENT_ROOT, f.replace(\".en.txt\", \".cn.txt\"))\n",
    "        if os.path.exists(cn_fname) and isfile(cn_fname):\n",
    "            print(f\"Found data pair: {en_fname} and {cn_fname}\")\n",
    "\n",
    "            with open(en_fname, \"r\") as enfin:\n",
    "                en_messages = enfin.read()\n",
    "\n",
    "            with open(cn_fname, \"r\") as cnfin:\n",
    "                cn_messages = cnfin.read()\n",
    "            \n",
    "            en_messages = [part.strip() for part in en_messages.split(\"\\n\\n\") if part.strip() != \"\"]\n",
    "            cn_messages = [part.strip() for part in cn_messages.split(\"\\n\\n\") if part.strip() != \"\"]\n",
    "\n",
    "            if(len(en_messages) != len(cn_messages)):\n",
    "                print(f\"English and Chinese version mismatch. Discarding {en_fname} pair.\")\n",
    "            \n",
    "            messages = zip(en_messages, cn_messages)\n",
    "\n",
    "            message_groups.extend(messages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "write_jsonl(message_groups, \"combined.jsonl\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "whisper",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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