{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.output_parsers import StructuredOutputParser, ResponseSchema\n",
    "from langchain.prompts import PromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate\n",
    "from langchain.llms import OpenAI\n",
    "from langchain.chat_models import ChatOpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "response_schemas = [\n",
    "    ResponseSchema(name=\"answer\", description=\"answer to the user's question\"),\n",
    "    ResponseSchema(name=\"source\", description=\"source used to answer the user's question, should be a website.\")\n",
    "]\n",
    "output_parser = StructuredOutputParser.from_response_schemas(response_schemas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "format_instructions = output_parser.get_format_instructions()\n",
    "prompt = PromptTemplate(\n",
    "    template=\"answer the users question as best as possible.\\n{format_instructions}\\n{question}\",\n",
    "    input_variables=[\"question\"],\n",
    "    partial_variables={\"format_instructions\": format_instructions}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = OpenAI(temperature=0, n=2, best_of=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "_input = prompt.format_prompt(question=\"周杰伦有哪些歌？\")\n",
    "output = model(_input.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# output_parser.parse(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'answer': '周杰伦的歌曲有《稻香》、《发如雪》、《青花瓷》、《七里香》、《简单爱》、《等你下课》、《菊花台》、《夜曲》、《不能说的秘密》、《回到过去》等。',\n",
       " 'source': '百度百科 https://baike.baidu.com/item/%E5%91%A8%E6%9D%B0%E4%BC%A6/109983'}"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain.output_parsers import OutputFixingParser\n",
    "new_parser = OutputFixingParser.from_llm(parser=output_parser, llm=OpenAI())\n",
    "new_parser.parse(output)"
   ]
  }
 ],
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  "language_info": {
   "codemirror_mode": {
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    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
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  "orig_nbformat": 4
 },
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 "nbformat_minor": 2
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