examples/03-multitenancy/multitenancy_search.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Swcq_bMoOQV-"
      },
      "source": [
        " # How to build Multi Tenant Applications in Metal\n",
        "\n",
        "Use metadata filters to serve different data to different users based on their preferences, needs, or access rights.\n",
        "For example, one company wants to let only certain employees access specific documents. Another wants to show customers only relevant and available products. By using filters, we guarantee users see only what is relevant to them.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G9gYUZj0OTHP",
        "outputId": "e984372c-91df-4d14-da0b-5a9e71833758"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.7/75.7 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.0/76.0 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "!pip install -qU metal-sdk==2.1.0\n",
        "!pip install python-dotenv\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w5i5COtmQjPC"
      },
      "source": [
        "## Step 1: Define the Metadata Schema\n",
        "\n",
        "Head over to your Metal [Dashboard](https://app.getmetal.io/), create an Index and include the Metadata filters."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t0VPLFNoRJGe"
      },
      "source": [
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "29I1R0XtVtEe"
      },
      "source": [
        "Now let's initialize our connection to Metal with the Index Id, client Id and API key."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NK4yiIV6Tj40"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "from metal_sdk.metal import Metal\n",
        "from dotenv import load_dotenv\n",
        "load_dotenv()\n",
        "\n",
        "api_key= os.environ['METAL_API_KEY']\n",
        "client_id= os.environ['METAL_CLIENT_ID']\n",
        "index_id = os.environ['METAL_INDEX_ID']\n",
        "\n",
        "metal = Metal(api_key, client_id, index_id)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pzx3YKYgS8pY"
      },
      "source": [
        "\n",
        "## Step 2: Add Metadata to your documents"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GQjCPvJQPzzk"
      },
      "outputs": [],
      "source": [
        "metal.index({\n",
        "    'text': 'Onboarding and orientation program',\n",
        "    'metadata': {\n",
        "        'organization_id':1,\n",
        "        'department': 'sales'\n",
        "    }\n",
        "})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zxbYolvOdQ_e"
      },
      "outputs": [],
      "source": [
        "metal.index({\n",
        "    'text': 'Onboarding and orientation program',\n",
        "    'metadata': {\n",
        "        'organization_id':2,\n",
        "        'department': 'engineering'\n",
        "    }\n",
        "})"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m_xtJsE1dgoR"
      },
      "source": [
        "## Step 3: Query your documents"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DC33C-FwiJnN"
      },
      "source": [
        " Apply metadata filters using the filter parameter to query your documents"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5C-kz80Id0Qh"
      },
      "outputs": [],
      "source": [
        "results = metal.search({\n",
        "    'text': 'Onboarding',\n",
        "    \"filters\": { \"and\": [{\n",
        "        \"field\": \"organization_id\",\n",
        "        \"value\": 2,\n",
        "        \"operator\":\"eq\"},\n",
        "         {\n",
        "        \"field\": \"department\",\n",
        "        \"value\": 'engineering',\n",
        "        \"operator\":\"eq\"\n",
        "         }]}\n",
        "})\n",
        "\n",
        "print(results)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}