langchain/docs/extras/modules/model_io/output_parsers/datetime.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "07311335",
   "metadata": {},
   "source": [
    "# Datetime parser\n",
    "\n",
    "This OutputParser shows out to parse LLM output into datetime format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "77e49a3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.prompts import PromptTemplate\n",
    "from langchain.output_parsers import DatetimeOutputParser\n",
    "from langchain.chains import LLMChain\n",
    "from langchain.llms import OpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ace93488",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_parser = DatetimeOutputParser()\n",
    "template = \"\"\"Answer the users question:\n",
    "\n",
    "{question}\n",
    "\n",
    "{format_instructions}\"\"\"\n",
    "prompt = PromptTemplate.from_template(\n",
    "    template,\n",
    "    partial_variables={\"format_instructions\": output_parser.get_format_instructions()},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9240a3ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "chain = LLMChain(prompt=prompt, llm=OpenAI())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad62eacc",
   "metadata": {},
   "outputs": [],
   "source": [
    "output = chain.run(\"around when was bitcoin founded?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "96657765",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n\\n2008-01-03T18:15:05.000000Z'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bf714e52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2008, 1, 3, 18, 15, 5)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_parser.parse(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a56112b1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}