{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "48b0046a",
   "metadata": {},
   "source": [
    "# Quick Start: Hello, World!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5b1e03fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# update your agent information, and then connect to it\n",
    "from ia.gaius.agent_client import AgentClient\n",
    "\n",
    "api_key = '<YOUR-API-KEY-HERE>'\n",
    "name    = '<YOUR-AGENT-NAME-HERE>'\n",
    "domain  = 'localhost'\n",
    "secure  = True\n",
    "\n",
    "agent_info = {'api_key': api_key,\n",
    "               'name':  name,\n",
    "               'domain': domain,\n",
    "               'secure': secure}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7c6d5396",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent_info = {'api_key': 'ABCD-1234',\n",
    "              'name': '',\n",
    "              'domain': 'gaius-api:80',\n",
    "              'secure': False}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c764156b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'connection': 'okay', 'agent': 'simple'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent = AgentClient(agent_info, verify=False)\n",
    "agent.connect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17bcdad0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'id': 'p46b6b076c', 'name': 'P1'}]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's use only one node\n",
    "ingress_nodes = ['P1']\n",
    "query_nodes   = ['P1']\n",
    "\n",
    "agent.set_ingress_nodes(ingress_nodes)\n",
    "agent.set_query_nodes(query_nodes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba485d71",
   "metadata": {},
   "source": [
    "## Four API Calls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5091b0d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'wm-cleared'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clear working memory\n",
    "agent.clear_wm(nodes=ingress_nodes)\n",
    "# agent.clear_wm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2cb3863c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sequence_1 = [{\"strings\": [\"hello\"], \"vectors\": [], \"emotives\": {}}, \n",
    "              {\"strings\": [\"world\"], \"vectors\": [], \"emotives\": {}}]\n",
    "\n",
    "# Observe a sequence of events\n",
    "for event in sequence_1:\n",
    "    agent.observe(data=event,nodes=ingress_nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cd7f52ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'MODEL|7d0678ba6305341ce0d25133ab086208656a562f'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Learn a sequence\n",
    "agent.learn(nodes=ingress_nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "184083db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'observed'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Observe new data\n",
    "agent.observe(data={\"strings\": [\"hello\"], \"vectors\": [], \"emotives\": {}},nodes=ingress_nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6fcb8bbb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'confidence': 1,\n",
       "  'confluence': 0.5,\n",
       "  'emotives': {},\n",
       "  'entropy': 0.5,\n",
       "  'evidence': 0.5,\n",
       "  'extras': [],\n",
       "  'fragmentation': 0,\n",
       "  'frequency': 5,\n",
       "  'future': [['world']],\n",
       "  'grand_hamiltonian': 0.5,\n",
       "  'hamiltonian': 0,\n",
       "  'itfdf_similarity': 1,\n",
       "  'matches': ['hello'],\n",
       "  'missing': [],\n",
       "  'name': '7d0678ba6305341ce0d25133ab086208656a562f',\n",
       "  'past': [],\n",
       "  'potential': 3.5,\n",
       "  'present': [['hello']],\n",
       "  'similarity': 0.666666687,\n",
       "  'snr': 1,\n",
       "  'type': 'prototypical'}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get Predictions\n",
    "agent.get_predictions()"
   ]
  }
 ],
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