{ "cells": [ { "cell_type": "code", "execution_count": 75, "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", " self.state['user_act'] = user_act\n", " return self.state" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [], "source": [ "dst = DST()\n", "user_act = [('inform', 'payment', 'type', 'karta'), ('inform', 'delivery', 'type','paczkomat'), ('inform', 'product', 'type', 'telefon'), ('request', 'product', 'name', '?')]\n", "state = dst.update(user_act)" ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'payment': {'type': 'karta', 'amount': '', 'loyalty_card': ''}, 'delivery': {'type': 'paczkomat', 'address': '', 'time': ''}, 'product': {'name': '', 'type': 'telefon', 'brand': '', 'price': '', 'quantity': '', 'quality': ''}}\n", "{'product': {'name': 0}}\n" ] }, { "data": { "text/plain": [ "{'user_act': [('inform', 'payment', 'type', 'karta'),\n", " ('inform', 'delivery', 'type', 'paczkomat'),\n", " ('inform', 'product', 'type', 'telefon'),\n", " ('request', 'product', 'name', '?')],\n", " 'system_act': [],\n", " 'belief_state': {'payment': {'type': 'karta',\n", " 'amount': '',\n", " 'loyalty_card': ''},\n", " 'delivery': {'type': 'paczkomat', 'address': '', 'time': ''},\n", " 'product': {'name': '',\n", " 'type': 'telefon',\n", " 'brand': '',\n", " 'price': '',\n", " 'quantity': '',\n", " 'quality': ''}},\n", " 'request_state': {'product': {'name': 0}},\n", " 'terminated': False,\n", " 'history': []}" ] }, "execution_count": 110, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(state['belief_state'])\n", "print(state['request_state'])\n", "dst.state" ] }, { "cell_type": "code", "execution_count": 122, "metadata": {}, "outputs": [], "source": [ "from collections import defaultdict\n", "import json\n", "\n", "\n", "\n", "\n", "class SimpleRulePolicy():\n", " def __init__(self):\n", " with open('product_db.json', encoding='utf-8') as json_file:\n", " self.db = json.load(json_file)\n", "\n", " def predict(self, state):\n", " self.results = []\n", " system_action = defaultdict(list)\n", " user_action = defaultdict(list)\n", " system_acts = []\n", " for intent, domain, slot, value in state['user_act']:\n", " user_action[(domain.lower(), intent.lower())].append((slot.lower(), value))\n", " print(user_action)\n", " for user_act in user_action:\n", " self.update_system_action(user_act, user_action, state, system_action)\n", " print(self.update_system_action(user_act, user_action, state, system_action))\n", " system_acts = [[intent, domain, slot, value] for (domain, intent), slots in system_action.items() for slot, value in slots]\n", " state['system_act'] = system_acts\n", " return system_acts\n", "\n", "\n", " def update_system_action(self, user_act, user_action, state, system_action):\n", " domain, intent = user_act\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 [\"payment\", \"delivery\", \"product\"]:\n", " system_action[(domain, 'Recommend')].append(['Name', choice['name']])" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "defaultdict(, {('payment', 'inform'): [('type', 'karta')], ('delivery', 'inform'): [('type', 'paczkomat')], ('product', 'inform'): [('type', 'telefon')], ('product', 'request'): [('name', '?')]})\n", "None\n", "None\n", "None\n", "None\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 123, "metadata": {}, "output_type": "execute_result" } ], "source": [ "policy = SimpleRulePolicy()\n", "policy.predict(dst.state)" ] } ], "metadata": { "kernelspec": { "display_name": "py38", "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": "3.8.16" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }