zzzscratchpad_prova.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "077d1ad6-4292-403f-80ee-6f05073cd168",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: ml-metadata==1.14.0 in /opt/app-root/lib/python3.9/site-packages (1.14.0)\n",
      "Requirement already satisfied: protobuf<4,>=3.13 in /opt/app-root/lib/python3.9/site-packages (from ml-metadata==1.14.0) (3.20.3)\n",
      "Requirement already satisfied: attrs<22,>=20.3 in /opt/app-root/lib/python3.9/site-packages (from ml-metadata==1.14.0) (21.4.0)\n",
      "Requirement already satisfied: absl-py<2.0.0,>=0.9 in /opt/app-root/lib/python3.9/site-packages (from ml-metadata==1.14.0) (1.4.0)\n",
      "Requirement already satisfied: six<2,>=1.10 in /opt/app-root/lib/python3.9/site-packages (from ml-metadata==1.14.0) (1.16.0)\n",
      "Requirement already satisfied: grpcio<2,>=1.8.6 in /opt/app-root/lib/python3.9/site-packages (from ml-metadata==1.14.0) (1.59.0)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "\u001b[33mWARNING: Requirement 'model_registry-0.1.0-py3-none-any.whl' looks like a filename, but the file does not exist\u001b[0m\u001b[33m\n",
      "\u001b[0mProcessing ./model_registry-0.1.0-py3-none-any.whl\n",
      "\u001b[31mERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: '/opt/app-root/src/model_registry-0.1.0-py3-none-any.whl'\n",
      "\u001b[0m\u001b[31m\n",
      "\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Requirement already satisfied: protobuf==3.20.3 in /opt/app-root/lib/python3.9/site-packages (3.20.3)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Requirement already satisfied: onnxruntime in /opt/app-root/lib/python3.9/site-packages (1.16.3)\n",
      "Requirement already satisfied: numpy>=1.21.6 in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (1.24.3)\n",
      "Requirement already satisfied: coloredlogs in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (15.0.1)\n",
      "Requirement already satisfied: flatbuffers in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (23.5.26)\n",
      "Requirement already satisfied: sympy in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (1.12)\n",
      "Requirement already satisfied: protobuf in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (3.20.3)\n",
      "Requirement already satisfied: packaging in /opt/app-root/lib/python3.9/site-packages (from onnxruntime) (23.2)\n",
      "Requirement already satisfied: humanfriendly>=9.1 in /opt/app-root/lib/python3.9/site-packages (from coloredlogs->onnxruntime) (10.0)\n",
      "Requirement already satisfied: mpmath>=0.19 in /opt/app-root/lib/python3.9/site-packages (from sympy->onnxruntime) (1.3.0)\n",
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'module' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 14\u001b[0m\n\u001b[1;32m     11\u001b[0m X_train \u001b[38;5;241m=\u001b[39m X_train\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m255\u001b[39m\n\u001b[1;32m     12\u001b[0m X_test \u001b[38;5;241m=\u001b[39m X_test\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m255\u001b[39m\n\u001b[0;32m---> 14\u001b[0m \u001b[43mpprint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m7\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mTypeError\u001b[0m: 'module' object is not callable"
     ]
    }
   ],
   "source": [
    "!pip install \"ml-metadata==1.14.0\"\n",
    "!pip install model_registry-0.1.0-py3-none-any.whl\n",
    "!pip install protobuf==3.20.3\n",
    "!pip install onnxruntime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d1d2d17e-ab29-4014-b1cb-2c1ce2bcd2a8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n"
     ]
    }
   ],
   "source": [
    "from tensorflow import keras\n",
    "import matplotlib.pyplot as plt\n",
    "from pprint import pprint\n",
    "import numpy as np\n",
    "\n",
    "(X_train,y_train),(X_test,y_test) = keras.datasets.mnist.load_data()\n",
    "\n",
    "X_train = X_train/255\n",
    "X_test = X_test/255\n",
    "\n",
    "i = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01176471,\n",
    "        0.07058824, 0.07058824, 0.07058824, 0.49411765, 0.53333336, 0.6862745,\n",
    "        0.10196079, 0.6509804, 1.0, 0.96862745, 0.49803922, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11764706, 0.14117648,\n",
    "        0.36862746, 0.6039216, 0.6666667, 0.99215686, 0.99215686, 0.99215686,\n",
    "        0.99215686, 0.99215686, 0.88235295, 0.6745098, 0.99215686, 0.9490196,\n",
    "        0.7647059, 0.2509804, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.19215687, 0.93333334, 0.99215686, 0.99215686, 0.99215686,\n",
    "        0.99215686, 0.99215686, 0.99215686, 0.99215686, 0.99215686, 0.9843137,\n",
    "        0.3647059, 0.32156864, 0.32156864, 0.21960784, 0.15294118, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07058824,\n",
    "        0.85882354, 0.99215686, 0.99215686, 0.99215686, 0.99215686, 0.99215686,\n",
    "        0.7764706, 0.7137255, 0.96862745, 0.94509804, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.3137255, 0.6117647, 0.41960785, 0.99215686, 0.99215686, 0.8039216,\n",
    "        0.04313726, 0.0, 0.16862746, 0.6039216, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.05490196, 0.00392157, 0.6039216, 0.99215686, 0.3529412, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.54509807, 0.99215686,\n",
    "        0.74509805, 0.00784314, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.04313726, 0.74509805, 0.99215686, 0.27450982, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.13725491, 0.94509804, 0.88235295,\n",
    "        0.627451, 0.42352942, 0.00392157, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.31764707, 0.9411765, 0.99215686, 0.99215686, 0.46666667,\n",
    "        0.09803922, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1764706,\n",
    "        0.7294118, 0.99215686, 0.99215686, 0.5882353, 0.10588235, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0627451, 0.3647059, 0.9882353,\n",
    "        0.99215686, 0.73333335, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.9764706, 0.99215686, 0.9764706, 0.2509804, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.18039216, 0.50980395, 0.7176471, 0.99215686,\n",
    "        0.99215686, 0.8117647, 0.00784314, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.15294118,\n",
    "        0.5803922, 0.8980392, 0.99215686, 0.99215686, 0.99215686, 0.98039216,\n",
    "        0.7137255, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09411765, 0.44705883, 0.8666667,\n",
    "        0.99215686, 0.99215686, 0.99215686, 0.99215686, 0.7882353, 0.30588236,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.09019608, 0.25882354, 0.8352941, 0.99215686,\n",
    "        0.99215686, 0.99215686, 0.99215686, 0.7764706, 0.31764707, 0.00784314,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.07058824, 0.67058825, 0.85882354, 0.99215686, 0.99215686,\n",
    "        0.99215686, 0.99215686, 0.7647059, 0.3137255, 0.03529412, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.21568628, 0.6745098, 0.8862745, 0.99215686, 0.99215686, 0.99215686,\n",
    "        0.99215686, 0.95686275, 0.52156866, 0.04313726, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.53333336, 0.99215686, 0.99215686, 0.99215686, 0.83137256, 0.5294118,\n",
    "        0.5176471, 0.0627451, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,\n",
    "        0.0, 0.0, 0.0, 0.0, 0.0, 0.0\n",
    "      ]\n",
    "i = np.array(i).reshape(1,28,28)\n",
    "i = i.round().astype(int)\n",
    "\n",
    "for row in i[0]:\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scratchpad\n",
    "\n",
    "using this notebook to manually test the draft intelligent application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ef8c7821-06bf-44ec-bc78-031496c5a4a8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n"
     ]
    }
   ],
   "source": [
    "i = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.3877551020408359,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.4897959183673597,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0.714285714285694,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
    "i = np.array(i).reshape(1,28,28)\n",
    "i = i.round().astype(int)\n",
    "\n",
    "for row in i[0]:\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "61f7e3aa-b0bf-49dc-8c0c-02e339a50466",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.4965346e-07, 1.723765e-08, 0.9987185, 0.0012519564, 6.7413805e-13, 4.6950666e-07, 2.2502631e-13, 2.8407065e-05, 3.8721797e-07, 7.596881e-08]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/app-root/lib64/python3.9/site-packages/urllib3/connectionpool.py:1061: InsecureRequestWarning: Unverified HTTPS request is being made to host 'mnist-e2e-ds-mre2e.apps.mmortari.dev.datahub.redhat.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/1.26.x/advanced-usage.html#ssl-warnings\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "i = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1428571428571459,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.7142857142857224,1,1,1,1,1,1,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
    "\n",
    "import requests\n",
    "\n",
    "# url = 'http://modelmesh-serving:8008/v2/models/mnist-e2e/infer'\n",
    "url = 'https://mnist-e2e-ds-mre2e.apps.mmortari.dev.datahub.redhat.com/v2/models/mnist-e2e/infer'\n",
    "\n",
    "payload = {\n",
    "    \"model_name\": \"mnist-e2e\",\n",
    "    \"inputs\": [{\n",
    "      \"name\": \"x\",\n",
    "      \"shape\": [1, 28, 28],\n",
    "      \"datatype\": \"FP64\",\n",
    "      \"data\": i\n",
    "    }]\n",
    "}\n",
    "\n",
    "response = requests.post(url, json=payload, verify=False)\n",
    "\n",
    "if response.status_code == 200:\n",
    "    json_data = response.json()\n",
    "    print(json_data['outputs'][0]['data'])\n",
    "else:\n",
    "    print(f\"Error: {response.status_code}\")\n",
    "    print(response.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c940916d-c90c-41c0-bf85-18412253feff",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
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