{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.prompts import PromptTemplate\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'lizhen : 18'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt_template = PromptTemplate(template=\"{name} : {age}\", input_variables=[\"name\", \"age\"])\n",
    "partial_prompt_template = prompt_template.partial(name=\"lizhen\")\n",
    "partial_prompt_template.format(age=\"18\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "foobaz\n"
     ]
    }
   ],
   "source": [
    "prompt = PromptTemplate(template=\"{foo}{bar}\", input_variables=[\"bar\"], partial_variables={\"foo\": \"foo\"})\n",
    "print(prompt.format(bar=\"baz\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'lizhen : 18'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt1 = PromptTemplate(template=\"{name} : {age}\", input_variables=[\"age\"], partial_variables={\"name\": \"lizhen\"})\n",
    "prompt1.format(age=\"18\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _get_time():\n",
    "    now = datetime.now()\n",
    "    return now.strftime(\"%Y/%m/%d %H:%M:%S\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2023/04/21 17:46:37, 北京气温多少？'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_prompt = PromptTemplate(template=\"{date}, {city}气温多少？\",input_variables=[\"date\",\"city\"])\n",
    "date_partial_prompt = date_prompt.partial(date=_get_time)\n",
    "date_partial_prompt.format(city=\"北京\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2023/04/21 17:48:50, 天津气温多少？'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_prompt1 = PromptTemplate(template=\"{date}, {city}气温多少？\", input_variables=[\"city\"], partial_variables={\"date\": _get_time})\n",
    "date_prompt1.format(city=\"天津\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.10.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}