Merge branch 'master' of https://git.wmi.amu.edu.pl/s487195/systemy_dialogowe

.ipynb_checkpoints/DST_DP-checkpoint.ipynb

@@ -0,0 +1,342 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4af8e091",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "class Rules_DST(): \n",
+    "\n",
+    "    def __init__(self):\n",
+    "        self.state = json.load(open('data.json'))\n",
+    "\n",
+    "    def update_user(self, user_acts=None):\n",
+    "        for intent, domain, slot, value in user_acts:\n",
+    "            domain = domain.lower()\n",
+    "            intent = intent.lower()\n",
+    "            slot = slot.lower()\n",
+    "            if intent == 'start_conversation':\n",
+    "                continue\n",
+    "\n",
+    "            elif intent == 'end_conversation':\n",
+    "                self.state = json.load(open('data.json'))\n",
+    "            elif domain not in self.state['belief_state']:\n",
+    "                continue\n",
+    "                \n",
+    "            \n",
+    "            elif 'inform' in intent:\n",
+    "                if (slot == 'inform'):\n",
+    "                    continue\n",
+    "                \n",
+    "                if(domain in slot):\n",
+    "                    slot.replace(domain + \"/\", '')\n",
+    "\n",
+    "                domain_dic = self.state['belief_state'][domain]\n",
+    "                if slot in domain_dic:\n",
+    "                    self.state['belief_state'][domain][slot] = value\n",
+    "  \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",
+    "                else:\n",
+    "                    self.state['request_state'][domain][slot] = value\n",
+    "                    \n",
+    "            elif intent == 'start_conversation':\n",
+    "                self.state[\"user_action\"].append([intent, domain, slot, value])\n",
+    "                continue\n",
+    "\n",
+    "            elif intent == 'end_conversation':\n",
+    "                self.state = json.load(open('data.json'))\n",
+    "                \n",
+    "            self.state[\"user_action\"].append([intent, domain, slot, value])\n",
+    "        return self.state"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "09903205",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'user_action': [],\n",
+       " 'system_action': [],\n",
+       " 'belief_state': {'food': {'name': '',\n",
+       "   'type': '',\n",
+       "   'price range': '',\n",
+       "   'size': '',\n",
+       "   'ingredients': ''},\n",
+       "  'drink': {'name': '', 'price range': '', 'size': ''},\n",
+       "  'sauce': {'name': '', 'price range': '', 'size': ''},\n",
+       "  'order': {'type': '',\n",
+       "   'price range': '',\n",
+       "   'restaurant_name': '',\n",
+       "   'area': '',\n",
+       "   'book time': '',\n",
+       "   'book day': ''},\n",
+       "  'booking': {'restaurant_name': '',\n",
+       "   'area': '',\n",
+       "   'book time': '',\n",
+       "   'book day': '',\n",
+       "   'book people': ''},\n",
+       "  'payment': {'type': '', 'amount': '', 'vat': ''}},\n",
+       " 'request_state': {},\n",
+       " 'terminated': False,\n",
+       " 'history': []}"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst = Rules_DST()\n",
+    "dst.state"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ec2b40d2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst.state['user_action']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ca5ec2f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'name': '', 'type': '', 'price range': '', 'size': '', 'ingredients': ''}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst.update_user([['star_conversation',\"\",\"\",\"\"], ['inform', 'drink', 'size', 'duża']])\n",
+    "dst.state['belief_state']['food']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2a36fa8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[['inform', 'drink', 'size', 'duża']]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst.state['user_action']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "67fd77b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'drink': {'price range': 0}}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst.update_user([['request', 'drink', 'price range', '?']])\n",
+    "dst.state['request_state']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "834ebb03",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'name': '',\n",
+       " 'type': 'pizza',\n",
+       " 'price range': '',\n",
+       " 'size': 'duża',\n",
+       " 'ingredients': ''}"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dst.update_user([['inform', 'food', 'type', 'pizza'], ['inform', 'food', 'size', 'duża']])\n",
+    "dst.state['belief_state']['food']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "4b61083c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import defaultdict\n",
+    "import jmespath\n",
+    "\n",
+    "class DP():\n",
+    "    def __init__(self):\n",
+    "        with open('database.json', encoding='utf-8-sig') as json_file:\n",
+    "            self.db =  json.load(json_file)\n",
+    "    \n",
+    "\n",
+    "    def predict(self, state):\n",
+    "        self.results = []\n",
+    "        system_action = defaultdict(list)\n",
+    "        user_action = defaultdict(list)\n",
+    "        system_acts = []\n",
+    "        for idx in range(len(state['user_action'])):\n",
+    "            intent, domain, slot, value = state['user_action'][idx]\n",
+    "            user_action[(domain, intent)].append((slot, value))\n",
+    "\n",
+    "        for user_act in user_action:\n",
+    "            system_acts.append(self.update_system_action(user_act, user_action, state, system_action))\n",
+    "        state['system_action'] = system_acts\n",
+    "        return system_acts[-1]\n",
+    "\n",
+    "\n",
+    "    def update_system_action(self, user_act, user_action, state, system_action):\n",
+    "        \n",
+    "        domain, intent = user_act    \n",
+    "        \n",
+    "        #Reguła 3\n",
+    "        if intent == 'end_conversation':\n",
+    "            return None\n",
+    "        \n",
+    "        constraints = [(slot, value) for slot, value in state['belief_state'][domain].items() if value != '']\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(constraints)>1:\n",
+    "                arg=f\"{constraints[0]}\".replace(f\"\\'{constraints[0][0]}\\'\",f\"{constraints[0][0]}\")\n",
+    "                arg = arg.replace(\"[\",\"\").replace(\"]\",\"\")\n",
+    "                for cons in constraints[1:]:\n",
+    "                    arg+=f\" && contains{cons}\".replace(f\"\\'{cons[0]}\\'\",f\"{cons[0]}\").replace(\"[\",\"\").replace(\"]\",\"\")\n",
+    "            else:\n",
+    "                arg=f\"{constraints}\".replace(f\"\\'{constraints[0]}\\'\",f\"{constraints[0]}\").replace(\"[\",\"\").replace(\"]\",\"\").replace(\"(\\'\",\"(\").replace(\"\\',\",\",\")  \n",
+    "            self.results = jmespath.search(f\"database.{domain}[?contains{arg} == `true` ]\", self.db) \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 [\"food\", \"drink\", \"sauce\"]:\n",
+    "                    system_action[(domain, 'Recommend')].append(['Name', choice['name']])\n",
+    "                elif domain in [\"order\", \"booking\", \"payment\"]:\n",
+    "                    system_action[(domain, 'Recommend')].append(['Type', choice['type']])\n",
+    "        return system_action\n",
+    "                    \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e587661a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "defaultdict(list,\n",
+       "            {('drink', 'Inform'): [['Choice', '1'],\n",
+       "              ['price range', 'średnia']],\n",
+       "             ('drink', 'Recommend'): [['Name', 'lemoniada']],\n",
+       "             ('food', 'Inform'): [['Choice', '4']],\n",
+       "             ('food', 'Recommend'): [['Name', 'pizza margherita']]})"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dp= DP()\n",
+    "dp.predict(dst.state)"
+   ]
+  }
+ ],
+ "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": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

DST_DP.ipynb

@@ -282,8 +282,10 @@
     "                system_action[(domain, 'Inform')].append(['Choice', str(len(self.results))])\n",
     "                choice = self.results[0]\n",
     "\n",
-    "                if domain in [\"food\", \"drink\", \"police\", \"sauce\", \"order\", \"booking\", \"payment\"]:\n",
+    "                if domain in [\"food\", \"drink\", \"sauce\"]:\n",
     "                    system_action[(domain, 'Recommend')].append(['Name', choice['name']])\n",
+    "                elif domain in [\"order\", \"booking\", \"payment\"]:\n",
+    "                    system_action[(domain, 'Recommend')].append(['Type', choice['type']])\n",
     "        return system_action\n",
     "                    \n"
    ]
@@ -332,7 +334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.16"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,

NLG.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "9a772dd1",
+   "id": "c31a012f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,8 +12,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "id": "54502dca",
+   "execution_count": 28,
+   "id": "21c8e0a4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,21 +69,36 @@
     "        if slot == \"book time\":\n",
     "            return f\"Godzina Twojego zamówienia to: {value}.\"\n",
     "        if slot == \"book day\":\n",
-    "            return f\"Dzień Twojego zamówienia to: {value}.\"\n",
-    "        \n",
+    "            return f\"Dzień Twojego zamówienia to: {value}.\"        \n",
     "\n",
     "    elif intent == 'end_conversation':\n",
     "        return random.choice(['Żegnam i dziękuję za skorzystanie z usługi.', 'Do widzenia.', \"Dziękuję za skorzystanie z usługi, do kolejnego razu.\"])\n",
     "    elif intent == 'start_conversation':\n",
     "        return random.choice(['Witaj, jestem asystentem dialogowym, dzięki któremu złożysz zamówienie w restuaracji.', 'Cześć, w czym mogę pomóc?', \"Witam w usłudze, w czym mogę pomóc?\"])\n",
-    "        \n",
-    "            "
+    "    elif intent == 'affirm':\n",
+    "        return random.choice(['Tak.', 'Potwierdzam.', \"Mozliwe.\"])\n",
+    "    elif intent == 'deny':\n",
+    "        return random.choice(['Nie.', 'Nie potwierdzam.', \"Niemożliwe.\"])   \n",
+    "    elif intent == 'recommend' and slot==\"name\":\n",
+    "        if domain==\"food\":\n",
+    "            return f\"Rekomendowany posiłek to: {value}.\"\n",
+    "        if domain==\"drink\":\n",
+    "            return f\"Rekomendowany napój to: {value}.\"    \n",
+    "        if domain==\"sauce\":\n",
+    "            return f\"Rekomendowany sos to: {value}.\"\n",
+    "    elif intent == 'recommend' and slot==\"type\":\n",
+    "        if domain==\"booking\":\n",
+    "            return f\"Rekomenduję następującą rezerwację stolika: {value}.\"  \n",
+    "        if domain==\"order\":\n",
+    "            return f\"Rekomenduję takie zamówienie: {value}.\"\n",
+    "        if domain==\"payment\":\n",
+    "            return f\"Rekomendowana metoda płatności to: {value}.\"  "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "8568ac20",
+   "id": "185b85f0",
    "metadata": {},
    "outputs": [
     {
@@ -104,7 +119,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "c3fa168f",
+   "id": "b276b31f",
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +140,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "5ac835de",
+   "id": "3ae7e57f",
    "metadata": {},
    "outputs": [
     {
@@ -146,7 +161,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "6c06463d",
+   "id": "90303149",
    "metadata": {},
    "outputs": [
     {
@@ -167,7 +182,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "aeaa9968",
+   "id": "b78e9d4a",
    "metadata": {},
    "outputs": [
     {
@@ -185,10 +200,52 @@
     "nlg(['start_conversation', '', '', ''])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "37782f98",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Rekomendowany posiłek to: Zupa grzybowa.'"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nlg(['recommend', 'food', 'name', 'zupa grzybowa'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "c74610a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Rekomendowana metoda płatności to: blik.'"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nlg(['recommend', 'payment', 'type', 'blik'])"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e48c1960",
+   "id": "1f6859ea",
    "metadata": {},
    "outputs": [],
    "source": []