2023-05-25 12:42:01 +02:00
|
|
|
{
|
|
|
|
"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'])"
|
|
|
|
]
|
|
|
|
}
|
|
|
|
],
|
|
|
|
"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
|
|
|
|
}
|