{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "\n",
    "\n",
    "class DST():\n",
    "    def __init__(self):\n",
    "        self.state = json.load(open('dictionary.json'))\n",
    "\n",
    "    def update(self, user_act=None):\n",
    "        for intent, domain, slot, value in user_act:\n",
    "            domain = domain.lower()\n",
    "            intent = intent.lower()\n",
    "            slot = slot.lower()\n",
    "            \n",
    "            if domain not in self.state['belief_state']:\n",
    "                continue\n",
    "\n",
    "            if intent == 'inform':\n",
    "                if slot == 'none' or slot == '':\n",
    "                    continue\n",
    "\n",
    "                domain_dic = self.state['belief_state'][domain]\n",
    "\n",
    "                if slot in domain_dic:\n",
    "                    self.state['belief_state'][domain][slot] = value\n",
    "\n",
    "            elif intent == 'request':\n",
    "                if domain not in self.state['request_state']:\n",
    "                    self.state['request_state'][domain] = {}\n",
    "                if slot not in self.state['request_state'][domain]:\n",
    "                    self.state['request_state'][domain][slot] = 0\n",
    "\n",
    "        return self.state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dst = DST()\n",
    "user_act = [('inform', 'payment', 'type', 'credit card'), ('inform', 'product', 'name', 'iPhone')]\n",
    "state = dst.update(user_act)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'payment': {'type': 'credit card', 'amount': '', 'loyalty_card': ''}, 'delivery': {'type': '', 'address': '', 'time': ''}, 'product': {'name': 'iPhone', 'type': '', 'brand': '', 'price': '', 'quantity': '', 'quality': ''}}\n",
      "{}\n"
     ]
    }
   ],
   "source": [
    "print(state['belief_state'])\n",
    "print(state['request_state'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import defaultdict\n",
    "import copy\n",
    "import json\n",
    "from copy import deepcopy\n",
    "\n",
    "from convlab.policy.policy import Policy\n",
    "from convlab.util.multiwoz.dbquery import Database\n",
    "\n",
    "\n",
    "class SimpleRulePolicy(Policy):\n",
    "    def __init__(self):\n",
    "        Policy.__init__(self)\n",
    "        self.db = Database()\n",
    "\n",
    "    def predict(self, state):\n",
    "        self.results = []\n",
    "        system_action = defaultdict(list)\n",
    "        user_action = defaultdict(list)\n",
    "\n",
    "        for intent, domain, slot, value in state['user_action']:\n",
    "            user_action[(domain.lower(), intent.lower())].append((slot.lower(), value))\n",
    "\n",
    "        for user_act in user_action:\n",
    "            self.update_system_action(user_act, user_action, state, system_action)\n",
    "\n",
    "        # Reguła 3\n",
    "        if any(True for slots in user_action.values() for (slot, _) in slots if slot in ['book stay', 'book day', 'book people']):\n",
    "            if self.results:\n",
    "                system_action = {('Booking', 'Book'): [[\"Ref\", self.results[0].get('Ref', 'N/A')]]}\n",
    "\n",
    "        system_acts = [[intent, domain, slot, value] for (domain, intent), slots in system_action.items() for slot, value in slots]\n",
    "        state['system_action'] = system_acts\n",
    "        return system_acts\n",
    "\n",
    "    def update_system_action(self, user_act, user_action, state, system_action):\n",
    "        domain, intent = user_act\n",
    "        constraints = [(slot, value) for slot, value in state['belief_state'][domain.lower()].items() if value != '']\n",
    "        self.results = deepcopy(self.db.query(domain.lower(), constraints))\n",
    "\n",
    "        # Reguła 1\n",
    "        if intent == 'request':\n",
    "            if len(self.results) == 0:\n",
    "                system_action[(domain, 'NoOffer')] = []\n",
    "            else:\n",
    "                for slot in user_action[user_act]:                  \n",
    "                    if slot[0] in self.results[0]:\n",
    "                        system_action[(domain, 'Inform')].append([slot[0], self.results[0].get(slot[0], 'unknown')])\n",
    "\n",
    "        # Reguła 2\n",
    "        elif intent == 'inform':\n",
    "            if len(self.results) == 0:\n",
    "                system_action[(domain, 'NoOffer')] = []\n",
    "            else:\n",
    "                system_action[(domain, 'Inform')].append(['Choice', str(len(self.results))])\n",
    "                choice = self.results[0]\n",
    "\n",
    "                if domain in [\"product\"]:\n",
    "                    system_action[(domain, 'Recommend')].append(['Name', choice['name']])"
   ]
  }
 ],
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