blood_Analysis_OCR.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "blood-Analysis-OCR",
      "provenance": [],
      "authorship_tag": "ABX9TyPTDvg+b7S84iuF/SoyWUfc",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/MasihKarimi/final-flask-app/blob/main/blood_Analysis_OCR.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install boto3"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "19EfeZm_4120",
        "outputId": "10ce3e63-1031-41e4-dd5a-13e387a160e0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting boto3\n",
            "  Downloading boto3-1.20.30-py3-none-any.whl (131 kB)\n",
            "\u001b[K     |████████████████████████████████| 131 kB 14.8 MB/s \n",
            "\u001b[?25hCollecting botocore<1.24.0,>=1.23.30\n",
            "  Downloading botocore-1.23.30-py3-none-any.whl (8.5 MB)\n",
            "\u001b[K     |████████████████████████████████| 8.5 MB 80.2 MB/s \n",
            "\u001b[?25hCollecting s3transfer<0.6.0,>=0.5.0\n",
            "  Downloading s3transfer-0.5.0-py3-none-any.whl (79 kB)\n",
            "\u001b[K     |████████████████████████████████| 79 kB 8.2 MB/s \n",
            "\u001b[?25hCollecting jmespath<1.0.0,>=0.7.1\n",
            "  Downloading jmespath-0.10.0-py2.py3-none-any.whl (24 kB)\n",
            "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/local/lib/python3.7/dist-packages (from botocore<1.24.0,>=1.23.30->boto3) (2.8.2)\n",
            "Collecting urllib3<1.27,>=1.25.4\n",
            "  Downloading urllib3-1.26.7-py2.py3-none-any.whl (138 kB)\n",
            "\u001b[K     |████████████████████████████████| 138 kB 69.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.24.0,>=1.23.30->boto3) (1.15.0)\n",
            "Installing collected packages: urllib3, jmespath, botocore, s3transfer, boto3\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "requests 2.23.0 requires urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1, but you have urllib3 1.26.7 which is incompatible.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed boto3-1.20.30 botocore-1.23.30 jmespath-0.10.0 s3transfer-0.5.0 urllib3-1.26.7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "H7tuCYld3wE6"
      },
      "outputs": [],
      "source": [
        "import boto3\n",
        "from trp import Document"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Document\n",
        "documentName= ('test5.jpg')\n",
        "# Amazon Textract client\n",
        "textract= boto3.client(\"textract\", aws_access_key_id=\"AKIAVENFQTC3ETUZ2HNC\",\n",
        "                              aws_secret_access_key=\"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\", region_name=\"us-east-1\")"
      ],
      "metadata": {
        "id": "onz_2Vwf5SUg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with open(documentName, \"rb\") as document:\n",
        "    response = textract.analyze_document(\n",
        "        Document={\n",
        "            'Bytes': document.read(),\n",
        "        },\n",
        "        FeatureTypes=[\"TABLES\"])"
      ],
      "metadata": {
        "id": "h1rKJYVR5ZXd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "doc = Document(response)\n",
        "Table = []\n",
        "for page in doc.pages:\n",
        "     #  tables\n",
        "    for table in page.tables:\n",
        "        for r, row in enumerate(table.rows):\n",
        "            for c, cell in enumerate(row.cells):\n",
        "                print(\"Table[{}][{}] = {}\".format(r, c, cell.text))\n",
        "\n",
        "                Table.append(cell.text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d0yDj1eiDVwY",
        "outputId": "90e6a8a9-a62b-4467-9854-56f08dbe6037"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Table[0][0] = Date de prélèv. Heure de prélèv. Date de saisie/-heure Laboratoire d'essais N° de dossier \n",
            "Table[0][1] = 29.05.2019 09:17 29.05 14:40 001 26.191001 \n",
            "Table[0][2] = Imprimé à \n",
            "Table[0][3] = Page 1 le 29.05.19 16:23 \n",
            "Table[1][0] = Analyse Précédents \n",
            "Table[1][1] = Résultat \n",
            "Table[1][2] = Unité \n",
            "Table[1][3] = Référence \n",
            "Table[2][0] = Hématologie \n",
            "Table[2][1] = \n",
            "Table[2][2] = \n",
            "Table[2][3] = \n",
            "Table[3][0] = Hémoglobine \n",
            "Table[3][1] = 145 \n",
            "Table[3][2] = g/L \n",
            "Table[3][3] = 120 160 \n",
            "Table[4][0] = Hématocrite \n",
            "Table[4][1] = 0.459 \n",
            "Table[4][2] = L/L \n",
            "Table[4][3] = 0.360 0.460 \n",
            "Table[5][0] = Erythrocytes \n",
            "Table[5][1] = 4.80 \n",
            "Table[5][2] = T/L \n",
            "Table[5][3] = 4.00 5.10 \n",
            "Table[6][0] = MCV (VGM) \n",
            "Table[6][1] = 96 \n",
            "Table[6][2] = fL \n",
            "Table[6][3] = 80 100 \n",
            "Table[7][0] = MCH (TCMH) \n",
            "Table[7][1] = 30.3 \n",
            "Table[7][2] = pg \n",
            "Table[7][3] = 26.0 34.0 \n",
            "Table[8][0] = MCHC (CCMH) \n",
            "Table[8][1] = 316 \n",
            "Table[8][2] = g/L \n",
            "Table[8][3] = 330 358 \n",
            "Table[9][0] = Erythrocytes: RDW \n",
            "Table[9][1] = 13.2 \n",
            "Table[9][2] = % \n",
            "Table[9][3] = 11.0 16.0 \n",
            "Table[10][0] = Thrombocytes \n",
            "Table[10][1] = 248 \n",
            "Table[10][2] = G/L \n",
            "Table[10][3] = 150 450 \n",
            "Table[11][0] = Leucocytes \n",
            "Table[11][1] = 7.8 \n",
            "Table[11][2] = G/L \n",
            "Table[11][3] = 4.5 11.5 \n",
            "Table[12][0] = Neutrophiles \n",
            "Table[12][1] = 4.90 \n",
            "Table[12][2] = G/L \n",
            "Table[12][3] = 1.40 8.00 \n",
            "Table[13][0] = Eosinophiles \n",
            "Table[13][1] = 0.15 \n",
            "Table[13][2] = G/L \n",
            "Table[13][3] = < 0.70 \n",
            "Table[14][0] = Basophiles \n",
            "Table[14][1] = 0.03 \n",
            "Table[14][2] = G/L \n",
            "Table[14][3] = < 0.20 \n",
            "Table[15][0] = Monocytes \n",
            "Table[15][1] = 0.35 \n",
            "Table[15][2] = G/L \n",
            "Table[15][3] = 0.16 0.95 \n",
            "Table[16][0] = Lymphocytes \n",
            "Table[16][1] = 2.38 \n",
            "Table[16][2] = G/L \n",
            "Table[16][3] = 1.50 4.00 \n",
            "Table[17][0] = \n",
            "Table[17][1] = \n",
            "Table[17][2] = \n",
            "Table[17][3] = \n",
            "Table[18][0] = Métabolisme \n",
            "Table[18][1] = \n",
            "Table[18][2] = \n",
            "Table[18][3] = \n",
            "Table[19][0] = Sodium \n",
            "Table[19][1] = 139 \n",
            "Table[19][2] = mmol/L \n",
            "Table[19][3] = 135 147 \n",
            "Table[20][0] = Potassium \n",
            "Table[20][1] = 4.7 \n",
            "Table[20][2] = mmol/L \n",
            "Table[20][3] = 3.5 - 5.1 \n",
            "Table[21][0] = Calcium \n",
            "Table[21][1] = 2.39 \n",
            "Table[21][2] = mmol/L \n",
            "Table[21][3] = 2.18 - 2.60 \n",
            "Table[22][0] = Phosphates \n",
            "Table[22][1] = 1.13 \n",
            "Table[22][2] = mmol/L \n",
            "Table[22][3] = 0.81 1.61 \n",
            "Table[23][0] = Ferritine \n",
            "Table[23][1] = 44 \n",
            "Table[23][2] = g/L \n",
            "Table[23][3] = 30-300 \n",
            "Table[24][0] = Cholestérol total \n",
            "Table[24][1] = 4.5 \n",
            "Table[24][2] = mmol/L \n",
            "Table[24][3] = <5.0 \n",
            "Table[25][0] = Cholestérol HDL \n",
            "Table[25][1] = 1.59 \n",
            "Table[25][2] = mmol/L \n",
            "Table[25][3] = > 1.00 \n",
            "Table[26][0] = Cholestérol / HDL \n",
            "Table[26][1] = 2.8 \n",
            "Table[26][2] = mmol/mmol \n",
            "Table[26][3] = <5.0 \n",
            "Table[27][0] = Cholestérol LDL \n",
            "Table[27][1] = 2.58 \n",
            "Table[27][2] = mmol/L \n",
            "Table[27][3] = < 3.0 \n",
            "Table[28][0] = Triglycérides \n",
            "Table[28][1] = 0.73 \n",
            "Table[28][2] = mmol/L \n",
            "Table[28][3] = < 1.70 \n",
            "Table[29][0] = Risque cardiovasculaire \n",
            "Table[29][1] = Note \n",
            "Table[29][2] = \n",
            "Table[29][3] = \n",
            "Table[30][0] = -> voir commentaire \n",
            "Table[30][1] = 1. \n",
            "Table[30][2] = \n",
            "Table[30][3] = \n",
            "Table[31][0] = Bilirubine totale \n",
            "Table[31][1] = 15 \n",
            "Table[31][2] = umol/L \n",
            "Table[31][3] = < 21 \n",
            "Table[32][0] = Urates \n",
            "Table[32][1] = 212 \n",
            "Table[32][2] = umol/L \n",
            "Table[32][3] = 184-464 \n",
            "Table[33][0] = Urée \n",
            "Table[33][1] = 4.4 \n",
            "Table[33][2] = mmol/L \n",
            "Table[33][3] = 3.2-8.2 \n",
            "Table[34][0] = Créatinine \n",
            "Table[34][1] = 65 \n",
            "Table[34][2] = umol/L \n",
            "Table[34][3] = 44-71 \n",
            "Table[35][0] = GFR (CKD-EPI) \n",
            "Table[35][1] = 110 \n",
            "Table[35][2] = ml/min/1.73m2 \n",
            "Table[35][3] = > 90 \n"
          ]
        }
      ]
    }
  ]
}