AMUseBot/ai_talks/AMUseBotBackend/utils/main.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import walk\n",
    "import random  \n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'C:/Users/User/VisualStudio/UserSimulater/AMUseBot'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class NLGRule():\n",
    "    def __init__(self,recipe,seed=100) -> None:\n",
    "        self.recipe = recipe\n",
    "        self.seed = seed\n",
    "\n",
    "\n",
    "    def respond(self,intent,value):\n",
    "        answer= ''\n",
    "        recipe= next(walk(f'{path}/recipe'), (None, None, []))[2] \n",
    "        step = 0\n",
    "        if not self.recipe:\n",
    "            if intent=='req_title':\n",
    "                answer +=f'I recomend {self.recomendRecipe()} or {self.recomendRecipe()}, tell me what you choose?'\n",
    "        else:\n",
    "            if intent=='req_start':\n",
    "                if value=='next':\n",
    "                    answer+=f'{self.instructionFromRecipe(step)}'\n",
    "                if value=='':\n",
    "                    answer+=f'First step:{self.instructionFromRecipe(0)}'\n",
    "            if intent =='req_ingredient':\n",
    "                answer+=f'{self.ingredientFromRecipe(step)}'\n",
    "            if intent=='req_ingredient_list':\n",
    "                answer+=f\"Ingredient list:\\n{self.ingredientFromRecipe(-1)}\"\n",
    "            if intent == 'goodbye':\n",
    "                answer+='Bye!'\n",
    "            if intent =='greating':\n",
    "                answer+='Hi. '\n",
    "            if intent == 'req_duration':\n",
    "                answer +='DURATION'\n",
    "            if intent =='req_amount':\n",
    "                answer +='AMOUNT'\n",
    "            \n",
    "        return answer\n",
    "\n",
    "    def ingredientFromRecipe(self,step):\n",
    "        recipe= next(walk(f'{path}/recipe'), (None, None, []))[2][self.recipe]\n",
    "        f = open(f'{path}/recipe/{recipe}','r',encoding='utf-8')\n",
    "        dict = json.loads(f.read())\n",
    "        ans = ''\n",
    "        for x in dict['content']:\n",
    "            if x['type'] == 'ingredient':\n",
    "                if step == -1:\n",
    "                    ans+= x['text']+'\\n'\n",
    "                elif int(x['id'].split('-')[1])==int(step):\n",
    "                    return x['text']\n",
    "                    \n",
    "        f.close()\n",
    "        return ans\n",
    "\n",
    "    def instructionFromRecipe(self,step):\n",
    "        recipe= next(walk(f'{path}/recipe'), (None, None, []))[2][self.recipe]\n",
    "        f = open(f'{path}/recipe/{recipe}','r',encoding='utf-8')\n",
    "        dict = json.loads(f.read())\n",
    "        for x in dict['content']:\n",
    "            if x['type'] == 'instruction':\n",
    "                if int(x['text'][0])==step:\n",
    "                    return x['text'].split(')')[1]\n",
    "        f.close()\n",
    "        return ''\n",
    "        \n",
    "    def recomendRecipe(self):\n",
    "        rand1 = random.randint(0, 259)\n",
    "        recipe= next(walk(f'{path}/recipe'), (None, None, []))[2] \n",
    "        r1 = recipe[rand1].split('_')[1:]\n",
    "        r=''\n",
    "        for i in r1[:-1]:\n",
    "            r+=i+' '\n",
    "        r += r1[-1].split('.')[0]\n",
    "        return r\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ingredient list:\n",
      "2 1/2 cups all-purpose flour\n",
      "1/2 cup white sugar\n",
      "1 tablespoon baking powder\n",
      "1/2 teaspoon salt\n",
      "1 teaspoon ground cinnamon\n",
      "1/4 teaspoon ground nutmeg\n",
      "1 cup milk\n",
      "1 egg, beaten\n",
      "1/4 cup butter, melted and cooled\n",
      "2 teaspoons vanilla extract\n",
      "2 quarts oil for deep frying\n",
      "1/2 teaspoon ground cinnamon\n",
      "1/2 cup white sugar\n",
      "\n"
     ]
    }
   ],
   "source": [
    "NLG =NLGRule(recipe=2)\n",
    "print(NLG.respond('req_ingredient_list',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 1/2 cups all-purpose flour\n"
     ]
    }
   ],
   "source": [
    "print(NLG.respond('req_ingredient',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First step: In a large bowl, stir together the flour, 1/2 cup sugar, baking powder, salt, 1 teaspoon of cinnamon and nutmeg.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(NLG.respond('req_start',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I recomend Chocolate Cheesecake II or Figs with Goat Cheese Pecans and Bacon, tell me what you choose?\n"
     ]
    }
   ],
   "source": [
    "NLG =NLGRule(recipe=None)\n",
    "print(NLG.respond('req_title',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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