|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Setting Up Your Authentication Token " |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "A **token**, also known as an **API Key**, is a unique string of characters that serves as a key to authenticate your requests to `TimeGTP`. This tutorial will explain how to set up your token when using the Nixtla SDK. \n", |
| 15 | + "\n", |
| 16 | + "Upon [registration](https://dashboard.nixtla.io/), you will recibe an email asking you to confirm your signup. After confirming, you will receive access to your dashboard. There, under `API Keys`, you will find your token. To integrate your token into your development workflow with the Nixtla SDK, you have two methods. " |
| 17 | + ] |
| 18 | + }, |
| 19 | + { |
| 20 | + "cell_type": "markdown", |
| 21 | + "metadata": {}, |
| 22 | + "source": [ |
| 23 | + "## 1. Direct copy and paste \n", |
| 24 | + "\n", |
| 25 | + "- **Step 1**: Copy the token found in the `API Keys` of your [dashboard]((https://dashboard.nixtla.io/)). \n", |
| 26 | + "- **Step 2**: Instantiate the `TimeGPT` class by directly pasting your token into the code, as shown below:" |
| 27 | + ] |
| 28 | + }, |
| 29 | + { |
| 30 | + "cell_type": "code", |
| 31 | + "execution_count": null, |
| 32 | + "metadata": {}, |
| 33 | + "outputs": [], |
| 34 | + "source": [ |
| 35 | + "from nixtlats import TimeGPT \n", |
| 36 | + "timegpt = TimeGPT(token = 'your token here')" |
| 37 | + ] |
| 38 | + }, |
| 39 | + { |
| 40 | + "cell_type": "markdown", |
| 41 | + "metadata": {}, |
| 42 | + "source": [ |
| 43 | + "This approach is straightforward and best for quick tests or scripts that won’t be shared." |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "markdown", |
| 48 | + "metadata": {}, |
| 49 | + "source": [ |
| 50 | + "## 2. Using an environment variable" |
| 51 | + ] |
| 52 | + }, |
| 53 | + { |
| 54 | + "cell_type": "markdown", |
| 55 | + "metadata": {}, |
| 56 | + "source": [ |
| 57 | + "- **Step 1:** Store your token in an environment variable named `TIMEGPT_TOKEN`. This can be done for a session or permanently, depending on your preference.\n", |
| 58 | + "- **Step 2:** When you instantiate the `TimeGPT` class, the SDK will automatically look for the `TIMEGPT_TOKEN` environment variable and use it to authenticate your requests." |
| 59 | + ] |
| 60 | + }, |
| 61 | + { |
| 62 | + "cell_type": "code", |
| 63 | + "execution_count": null, |
| 64 | + "metadata": {}, |
| 65 | + "outputs": [ |
| 66 | + { |
| 67 | + "data": { |
| 68 | + "text/plain": [ |
| 69 | + "True" |
| 70 | + ] |
| 71 | + }, |
| 72 | + "execution_count": null, |
| 73 | + "metadata": {}, |
| 74 | + "output_type": "execute_result" |
| 75 | + } |
| 76 | + ], |
| 77 | + "source": [ |
| 78 | + "#| hide\n", |
| 79 | + "from dotenv import load_dotenv\n", |
| 80 | + "load_dotenv()" |
| 81 | + ] |
| 82 | + }, |
| 83 | + { |
| 84 | + "cell_type": "code", |
| 85 | + "execution_count": null, |
| 86 | + "metadata": {}, |
| 87 | + "outputs": [], |
| 88 | + "source": [ |
| 89 | + "from nixtlats import TimeGPT\n", |
| 90 | + "timegpt = TimeGPT()" |
| 91 | + ] |
| 92 | + }, |
| 93 | + { |
| 94 | + "cell_type": "markdown", |
| 95 | + "metadata": {}, |
| 96 | + "source": [ |
| 97 | + "::: {.callout-important}\n", |
| 98 | + "The environment variable must be named exactly `TIMEGPT_TOKEN`, with all capital letters and no deviations in spelling, for the SDK to recognize it.\n", |
| 99 | + "::: " |
| 100 | + ] |
| 101 | + }, |
| 102 | + { |
| 103 | + "cell_type": "markdown", |
| 104 | + "metadata": {}, |
| 105 | + "source": [ |
| 106 | + "There are several ways to set an environment variable. " |
| 107 | + ] |
| 108 | + }, |
| 109 | + { |
| 110 | + "cell_type": "markdown", |
| 111 | + "metadata": {}, |
| 112 | + "source": [ |
| 113 | + "### a. From the Terminal\n", |
| 114 | + "Use the `export` command to set `TIMEGPT_TOKEN`. \n", |
| 115 | + "\n", |
| 116 | + "``` bash\n", |
| 117 | + "export TIMEGPT_TOKEN=your_token\n", |
| 118 | + "```" |
| 119 | + ] |
| 120 | + }, |
| 121 | + { |
| 122 | + "cell_type": "markdown", |
| 123 | + "metadata": {}, |
| 124 | + "source": [ |
| 125 | + "### b. Using a `.env` file\n", |
| 126 | + "\n", |
| 127 | + "For a more persistent solution that can be version-controlled if private, or for ease of use across different projects, place your token in a `.env` file.\n", |
| 128 | + "\n", |
| 129 | + "``` bash\n", |
| 130 | + "# Inside a file named .env\n", |
| 131 | + "TIMEGPT_TOKEN=your_token\n", |
| 132 | + "```" |
| 133 | + ] |
| 134 | + }, |
| 135 | + { |
| 136 | + "cell_type": "markdown", |
| 137 | + "metadata": {}, |
| 138 | + "source": [ |
| 139 | + "**Within Python:** If using a `.env` file, you can load the environment variable within your Python script. Use the `dotenv` package to load the `.env` file and then instantiate the `TimeGPT` class." |
| 140 | + ] |
| 141 | + }, |
| 142 | + { |
| 143 | + "cell_type": "code", |
| 144 | + "execution_count": null, |
| 145 | + "metadata": {}, |
| 146 | + "outputs": [], |
| 147 | + "source": [ |
| 148 | + "from dotenv import load_dotenv\n", |
| 149 | + "load_dotenv()\n", |
| 150 | + "\n", |
| 151 | + "from nixtlats import TimeGPT\n", |
| 152 | + "timegpt = TimeGPT()" |
| 153 | + ] |
| 154 | + }, |
| 155 | + { |
| 156 | + "cell_type": "markdown", |
| 157 | + "metadata": {}, |
| 158 | + "source": [ |
| 159 | + "This approach is more secure and suitable for applications that will be deployed or shared, as it keeps tokens out of the source code." |
| 160 | + ] |
| 161 | + }, |
| 162 | + { |
| 163 | + "cell_type": "markdown", |
| 164 | + "metadata": {}, |
| 165 | + "source": [ |
| 166 | + "::: {.callout-important}\n", |
| 167 | + "Remember, your token is like a password - keep it secret, keep it safe!\n", |
| 168 | + "::: " |
| 169 | + ] |
| 170 | + }, |
| 171 | + { |
| 172 | + "cell_type": "markdown", |
| 173 | + "metadata": {}, |
| 174 | + "source": [ |
| 175 | + "## Validate your token\n", |
| 176 | + "\n", |
| 177 | + "You can always find your token in the `API Keys` section of your dashboard. To check the status of your token, use the [`validate_token` method](https://nixtlaverse.nixtla.io/nixtla/timegpt.html#timegpt-validate-token) of the `TimeGPT` class. This method will return `True` if the token is valid and `False` otherwise. " |
| 178 | + ] |
| 179 | + }, |
| 180 | + { |
| 181 | + "cell_type": "code", |
| 182 | + "execution_count": null, |
| 183 | + "metadata": {}, |
| 184 | + "outputs": [ |
| 185 | + { |
| 186 | + "name": "stderr", |
| 187 | + "output_type": "stream", |
| 188 | + "text": [ |
| 189 | + "INFO:nixtlats.timegpt:Happy Forecasting! :), If you have questions or need support, please email [email protected]\n" |
| 190 | + ] |
| 191 | + }, |
| 192 | + { |
| 193 | + "data": { |
| 194 | + "text/plain": [ |
| 195 | + "True" |
| 196 | + ] |
| 197 | + }, |
| 198 | + "execution_count": null, |
| 199 | + "metadata": {}, |
| 200 | + "output_type": "execute_result" |
| 201 | + } |
| 202 | + ], |
| 203 | + "source": [ |
| 204 | + "timegpt.validate_token()" |
| 205 | + ] |
| 206 | + }, |
| 207 | + { |
| 208 | + "cell_type": "markdown", |
| 209 | + "metadata": {}, |
| 210 | + "source": [ |
| 211 | + "You don't need to validate your token every time you use `TimeGPT`. This function is provided for your convenience to ensure its validity. For full access to `TimeGPT`'s functionalities, in addition to a valid token, you also need sufficient credits in your account. You can check your credits in the `Usage` section of your [dashboard]((https://dashboard.nixtla.io/)). " |
| 212 | + ] |
| 213 | + } |
| 214 | + ], |
| 215 | + "metadata": { |
| 216 | + "kernelspec": { |
| 217 | + "display_name": "python3", |
| 218 | + "language": "python", |
| 219 | + "name": "python3" |
| 220 | + } |
| 221 | + }, |
| 222 | + "nbformat": 4, |
| 223 | + "nbformat_minor": 2 |
| 224 | +} |
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