{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c79330fa",
   "metadata": {},
   "source": [
    "# Changing Genes"
   ]
  },
  {
   "cell_type": "raw",
   "id": "c4080915",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    " Import :class:`~ia.gaius.agent_client.AgentClient` from module :py:mod:`ia.gaius.agent_client`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a5063878",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ia.gaius.agent_client import AgentClient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f5170111",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent_info = {'name': '',\n",
    "              'domain': 'gaius-api',\n",
    "              'secure': False,\n",
    "              'api_key': 'ABCD-1234'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b4358862",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent = AgentClient(agent_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cfafe1bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'connection': 'okay', 'agent': 'simple'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.connect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "24716f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AUTOLEARN': False,\n",
       " 'PREDICT': True,\n",
       " 'SLEEPING': False,\n",
       " 'emotives': {},\n",
       " 'last_learned_model_name': '',\n",
       " 'models_kb': '{KB| objects: 0}',\n",
       " 'name': 'P1',\n",
       " 'size_WM': 0,\n",
       " 'target': '',\n",
       " 'time': 0,\n",
       " 'vectors_kb': '{KB| objects: 0}'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.show_status()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d4be3778",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'genes': {'always_update_frequencies': False,\n",
       "  'auto_learn_algorithm': 'basic',\n",
       "  'auto_learn_metric': 'WM_size',\n",
       "  'classifier': 'CVC',\n",
       "  'max_predictions': 100,\n",
       "  'near_vector_count': 3,\n",
       "  'persistence': 5,\n",
       "  'predict_on_nth_event': 1,\n",
       "  'quiescence': 3,\n",
       "  'recall_threshold': 0.1,\n",
       "  'smoothness': 3,\n",
       "  'sort_metric': 'potential'}}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.get_all_genes(nodes=['P1'])"
   ]
  },
  {
   "cell_type": "raw",
   "id": "b6650be2",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    "  \n",
    "We can change genes using the :func:`~ia.gaius.agent_client.AgentClient.change_genes` api call \n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23adf0ac",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "931c4415",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'updated-genes'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.change_genes({'recall_threshold': 0.2}, nodes=['P1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5bd4bee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'genes': {'always_update_frequencies': False,\n",
       "  'auto_learn_algorithm': 'basic',\n",
       "  'auto_learn_metric': 'WM_size',\n",
       "  'classifier': 'CVC',\n",
       "  'max_predictions': 100,\n",
       "  'near_vector_count': 3,\n",
       "  'persistence': 5,\n",
       "  'predict_on_nth_event': 1,\n",
       "  'quiescence': 3,\n",
       "  'recall_threshold': 0.2,\n",
       "  'smoothness': 3,\n",
       "  'sort_metric': 'potential'}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.get_all_genes(nodes=['P1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e3bf9bd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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