{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fd82adf3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# !pip3 uninstall --yes ia-sdk\n",
    "# !pip3 install '../../../dist/ia_sdk-0.4.13-py3-none-any.whl'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76228310",
   "metadata": {},
   "source": [
    "# PVT on 10k records of MNIST Digit Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55487ad6",
   "metadata": {},
   "source": [
    "## Setup Agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1f0cdcee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from ia.gaius.manager import AgentManager\n",
    "from ia.gaius.pvt import PerformanceValidationTest\n",
    "import time\n",
    "from ia.gaius.data_ops import Data\n",
    "import json\n",
    "from sklearn.metrics import classification_report\n",
    "import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "75a01e79",
   "metadata": {},
   "outputs": [],
   "source": [
    "am = AgentManager()\n",
    "am.start_hoster()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "76d471e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "if 'mnist10k-pvt' in am.current_agents:\n",
    "    am.delete_agent('mnist10k-pvt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "66e0d860",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ia.gaius.manager.AgentInfo at 0x7f31ce54cf70>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spawn an agent with a single Cognitive Processor\n",
    "am.start_agent(genome_name='simple.genome', agent_id='mnist10k-pvt', connect_jia=True, agent_name='mnist10k-pvt', single_container=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f72bd882",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'connection': 'okay', 'agent': 'simple'}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time.sleep(1)\n",
    "agent = am.current_agents['mnist10k-pvt'].get_agent_client()\n",
    "agent.connect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "de623035",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'P1': {'AUTOLEARN': False,\n",
       "  'HYPOTHESIZED': False,\n",
       "  'PREDICT': True,\n",
       "  'SLEEPING': False,\n",
       "  'SNAPSHOT': False,\n",
       "  'emotives': {},\n",
       "  'last_learned_model_name': '',\n",
       "  'models_kb': '{KB| objects: 0}',\n",
       "  'name': 'P1',\n",
       "  'num_observe_call': 0,\n",
       "  'size_WM': 0,\n",
       "  'target': '',\n",
       "  'time': 0,\n",
       "  'vector_dimensionality': -1,\n",
       "  'vectors_kb': '{KB| objects: 0}'}}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.set_summarize_for_single_node(False)\n",
    "agent.clear_all_memory()\n",
    "agent.show_status()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a7c04af9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Allocate Nodes for Training and Testing\n",
    "ingress_nodes = [\"P1\"]\n",
    "query_nodes   = [\"P1\"]\n",
    "\n",
    "# Data settings\n",
    "RESULTS_DIR = \"./results/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b91cd617",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'P1': 'updated-genes'}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.change_genes({'recall_threshold': 0.15})\n",
    "agent.change_genes({'max_predictions': 10})\n",
    "agent.change_genes({'near_vector_count': 3})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a94f8a1a",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9505c1ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "GDF_DIR     = '../../../../datasets/mnist_10k_no_digit/digits_testing_gdf_0_to_9999'\n",
    "data = Data(data_directories=[GDF_DIR])\n",
    "data.prep(percent_of_dataset_chosen=100,\n",
    "              percent_reserved_for_training=80,\n",
    "              shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0570ac1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "pvt = PerformanceValidationTest(\n",
    "    agent=agent,\n",
    "    ingress_nodes=ingress_nodes,\n",
    "    query_nodes=query_nodes,\n",
    "    test_count=1,\n",
    "    dataset=data, \n",
    "    results_filepath=RESULTS_DIR,\n",
    "    test_type='classification',    \n",
    "    test_prediction_strategy=\"noncontinuous\",\n",
    "    clear_all_memory_before_training=True,\n",
    "    turn_prediction_off_during_training=True,\n",
    "    shuffle=False,\n",
    "    QUIET=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7537986e",
   "metadata": {},
   "source": [
    "## Run PVT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'P1': 'all-cleared'}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.clear_all_memory()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "abee398a",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "87d6f1765181449084ebe90413cc6890",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|           0/8000 [? ? records/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d3c4649e66c84e5dbfce3abc5de2a6e0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|           0/2000 [? ? records/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "elapsed time = 124.979 seconds\n"
     ]
    }
   ],
   "source": [
    "before = time.time()\n",
    "\n",
    "pvt.conduct_pvt()\n",
    "\n",
    "after = time.time()\n",
    "print(f'elapsed time = {after-before:.3f} seconds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "No active exception to reraise",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32m/home/alexlukens/CodeSpaces/ia-sdk-python/docs/source/examples/pvt_agent_manager_mnist10k.ipynb Cell 18\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/alexlukens/CodeSpaces/ia-sdk-python/docs/source/examples/pvt_agent_manager_mnist10k.ipynb#X35sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mraise\u001b[39;00m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: No active exception to reraise"
     ]
    }
   ],
   "source": [
    "raise"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a63c0b5",
   "metadata": {},
   "source": [
    "## Show results\n",
    "See metrics on test results using Scikit-learn's classification report function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ff42f41",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('              precision    recall  f1-score   support\\n'\n",
      " '\\n'\n",
      " '           0       0.00      0.00      0.00        15\\n'\n",
      " '           1       0.16      0.81      0.27        27\\n'\n",
      " '           2       0.29      0.14      0.19        29\\n'\n",
      " '           3       0.00      0.00      0.00        26\\n'\n",
      " '           4       0.00      0.00      0.00        18\\n'\n",
      " '           5       0.00      0.00      0.00        12\\n'\n",
      " '           6       0.00      0.00      0.00        19\\n'\n",
      " '           7       0.14      0.33      0.20        21\\n'\n",
      " '           8       0.00      0.00      0.00        19\\n'\n",
      " '           9       0.00      0.00      0.00        14\\n'\n",
      " '\\n'\n",
      " '    accuracy                           0.17       200\\n'\n",
      " '   macro avg       0.06      0.13      0.07       200\\n'\n",
      " 'weighted avg       0.08      0.17      0.08       200\\n')\n"
     ]
    }
   ],
   "source": [
    "\n",
    "predicted = [p if p else 'None' for p in pvt.pvt_results[0]['P1']['predictions']]\n",
    "actuals = [a[0] for a in pvt.pvt_results[0]['P1']['actuals']]\n",
    "\n",
    "pprint.pp(classification_report(y_true=actuals, y_pred=predicted, zero_division=0.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6195b661",
   "metadata": {},
   "outputs": [],
   "source": [
    "# result_dict = classification_report(y_true=actuals, y_pred=predicted, output_dict=True)\n",
    "# result_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31371332",
   "metadata": {},
   "source": [
    "## Teardown agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "845dc22a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# destroy the agent\n",
    "if 'mnist10k-pvt' in am.current_agents:\n",
    "    am.delete_agent('mnist10k-pvt')\n",
    "# am.stop_hoster()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69b304a5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}