|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": { |
| 6 | + "toc": true |
| 7 | + }, |
| 8 | + "source": [ |
| 9 | + "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n", |
| 10 | + "<div class=\"toc\"><ul class=\"toc-item\"></ul></div>" |
| 11 | + ] |
| 12 | + }, |
| 13 | + { |
| 14 | + "cell_type": "markdown", |
| 15 | + "metadata": {}, |
| 16 | + "source": [ |
| 17 | + "# Administration: Validate user profiles\n", |
| 18 | + "\n", |
| 19 | + "* 👟 Ready To Run!\n", |
| 20 | + "* 🗃️ Administration\n", |
| 21 | + "* 👤 User Management\n", |
| 22 | + "\n", |
| 23 | + "__Requirements__\n", |
| 24 | + "* 🔒 Administrator Privileges\n", |
| 25 | + "\n", |
| 26 | + "Some organizations require member profiles to contain values beyond the minumum required attributes necessary to create a valid user in an ArcGIS Online Organization or ArcGIS Enterprise. For instance, in order to comply with policies and regulations, an organization may require a profile picture or a brief description. This notebook will check attribute values for users of the organization to monitor profiles." |
| 27 | + ] |
| 28 | + }, |
| 29 | + { |
| 30 | + "cell_type": "markdown", |
| 31 | + "metadata": {}, |
| 32 | + "source": [ |
| 33 | + "To get started, let's import the necessary libraries and connect to our GIS." |
| 34 | + ] |
| 35 | + }, |
| 36 | + { |
| 37 | + "cell_type": "code", |
| 38 | + "execution_count": 1, |
| 39 | + "metadata": {}, |
| 40 | + "outputs": [], |
| 41 | + "source": [ |
| 42 | + "import os\n", |
| 43 | + "import datetime as dt\n", |
| 44 | + "\n", |
| 45 | + "import pandas as pd\n", |
| 46 | + "\n", |
| 47 | + "from arcgis.gis import GIS" |
| 48 | + ] |
| 49 | + }, |
| 50 | + { |
| 51 | + "cell_type": "code", |
| 52 | + "execution_count": 2, |
| 53 | + "metadata": {}, |
| 54 | + "outputs": [], |
| 55 | + "source": [ |
| 56 | + "gis = GIS(\"home\")" |
| 57 | + ] |
| 58 | + }, |
| 59 | + { |
| 60 | + "cell_type": "markdown", |
| 61 | + "metadata": {}, |
| 62 | + "source": [ |
| 63 | + "Then, let's create a list containing strings that represent all the values that your organization requires (beyond the required attributes for a valid user profile).\n", |
| 64 | + "\n", |
| 65 | + "`access_type` refers to the `User.access` property of a user and it indicates the level of access of the user: private, org, or public.\n", |
| 66 | + "\n", |
| 67 | + "While `access_type` may not be a requirement for your organization to validate a user profile, we have added it here to demonstrate how other useful properties can also be extracted for each user profile to learn more about them. " |
| 68 | + ] |
| 69 | + }, |
| 70 | + { |
| 71 | + "cell_type": "code", |
| 72 | + "execution_count": 3, |
| 73 | + "metadata": {}, |
| 74 | + "outputs": [], |
| 75 | + "source": [ |
| 76 | + "complete_profile = ['description', 'thumbnail', 'access', 'access_type']" |
| 77 | + ] |
| 78 | + }, |
| 79 | + { |
| 80 | + "cell_type": "markdown", |
| 81 | + "metadata": {}, |
| 82 | + "source": [ |
| 83 | + "We'll define a function that loops through the list we created and inspects a user object for the values of these attributes. We'll create a list of True/False values for each user regarding the necessary attributes." |
| 84 | + ] |
| 85 | + }, |
| 86 | + { |
| 87 | + "cell_type": "code", |
| 88 | + "execution_count": 4, |
| 89 | + "metadata": {}, |
| 90 | + "outputs": [], |
| 91 | + "source": [ |
| 92 | + "def get_missing_profile_attrs(member):\n", |
| 93 | + " non_compliance = []\n", |
| 94 | + " for attr in complete_profile:\n", |
| 95 | + " if attr=='access_type':\n", |
| 96 | + " non_compliance.append(member.access)\n", |
| 97 | + " else:\n", |
| 98 | + " if getattr(member, attr) == None: \n", |
| 99 | + " non_compliance.append(False)\n", |
| 100 | + " else:\n", |
| 101 | + " non_compliance.append(True)\n", |
| 102 | + " return non_compliance" |
| 103 | + ] |
| 104 | + }, |
| 105 | + { |
| 106 | + "cell_type": "markdown", |
| 107 | + "metadata": {}, |
| 108 | + "source": [ |
| 109 | + "Now we can create a list of users in the GIS and loop through them, calling the function written above to inspect each user object. This will create a dictionary with usernames as the _key_ and the list of True/False status for the required attributes as _values_." |
| 110 | + ] |
| 111 | + }, |
| 112 | + { |
| 113 | + "cell_type": "code", |
| 114 | + "execution_count": 5, |
| 115 | + "metadata": {}, |
| 116 | + "outputs": [], |
| 117 | + "source": [ |
| 118 | + "user_profile_status = {}\n", |
| 119 | + "for user in gis.users.search(\"NOT esri_*\"):\n", |
| 120 | + " missing_profile_atts = get_missing_profile_attrs(user)\n", |
| 121 | + " user_profile_status[user.username] = missing_profile_atts" |
| 122 | + ] |
| 123 | + }, |
| 124 | + { |
| 125 | + "cell_type": "markdown", |
| 126 | + "metadata": {}, |
| 127 | + "source": [ |
| 128 | + "The pandas library can be used to create a dataframe from the above dictionary." |
| 129 | + ] |
| 130 | + }, |
| 131 | + { |
| 132 | + "cell_type": "code", |
| 133 | + "execution_count": 6, |
| 134 | + "metadata": {}, |
| 135 | + "outputs": [ |
| 136 | + { |
| 137 | + "data": { |
| 138 | + "text/html": [ |
| 139 | + "<div>\n", |
| 140 | + "<style scoped>\n", |
| 141 | + " .dataframe tbody tr th:only-of-type {\n", |
| 142 | + " vertical-align: middle;\n", |
| 143 | + " }\n", |
| 144 | + "\n", |
| 145 | + " .dataframe tbody tr th {\n", |
| 146 | + " vertical-align: top;\n", |
| 147 | + " }\n", |
| 148 | + "\n", |
| 149 | + " .dataframe thead th {\n", |
| 150 | + " text-align: right;\n", |
| 151 | + " }\n", |
| 152 | + "</style>\n", |
| 153 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 154 | + " <thead>\n", |
| 155 | + " <tr style=\"text-align: right;\">\n", |
| 156 | + " <th></th>\n", |
| 157 | + " <th>description</th>\n", |
| 158 | + " <th>thumbnail</th>\n", |
| 159 | + " <th>access</th>\n", |
| 160 | + " <th>access_type</th>\n", |
| 161 | + " </tr>\n", |
| 162 | + " </thead>\n", |
| 163 | + " <tbody>\n", |
| 164 | + " <tr>\n", |
| 165 | + " <th>achapkowski_geosaurus</th>\n", |
| 166 | + " <td>False</td>\n", |
| 167 | + " <td>False</td>\n", |
| 168 | + " <td>True</td>\n", |
| 169 | + " <td>org</td>\n", |
| 170 | + " </tr>\n", |
| 171 | + " <tr>\n", |
| 172 | + " <th>amani_geosaurus</th>\n", |
| 173 | + " <td>True</td>\n", |
| 174 | + " <td>True</td>\n", |
| 175 | + " <td>True</td>\n", |
| 176 | + " <td>public</td>\n", |
| 177 | + " </tr>\n", |
| 178 | + " <tr>\n", |
| 179 | + " <th>andrew57</th>\n", |
| 180 | + " <td>True</td>\n", |
| 181 | + " <td>True</td>\n", |
| 182 | + " <td>True</td>\n", |
| 183 | + " <td>private</td>\n", |
| 184 | + " </tr>\n", |
| 185 | + " <tr>\n", |
| 186 | + " <th>api_data_owner</th>\n", |
| 187 | + " <td>False</td>\n", |
| 188 | + " <td>False</td>\n", |
| 189 | + " <td>True</td>\n", |
| 190 | + " <td>org</td>\n", |
| 191 | + " </tr>\n", |
| 192 | + " <tr>\n", |
| 193 | + " <th>arcgis_python</th>\n", |
| 194 | + " <td>True</td>\n", |
| 195 | + " <td>True</td>\n", |
| 196 | + " <td>True</td>\n", |
| 197 | + " <td>public</td>\n", |
| 198 | + " </tr>\n", |
| 199 | + " </tbody>\n", |
| 200 | + "</table>\n", |
| 201 | + "</div>" |
| 202 | + ], |
| 203 | + "text/plain": [ |
| 204 | + " description thumbnail access access_type\n", |
| 205 | + "achapkowski_geosaurus False False True org\n", |
| 206 | + "amani_geosaurus True True True public\n", |
| 207 | + "andrew57 True True True private\n", |
| 208 | + "api_data_owner False False True org\n", |
| 209 | + "arcgis_python True True True public" |
| 210 | + ] |
| 211 | + }, |
| 212 | + "execution_count": 6, |
| 213 | + "metadata": {}, |
| 214 | + "output_type": "execute_result" |
| 215 | + } |
| 216 | + ], |
| 217 | + "source": [ |
| 218 | + "user_profile_df = pd.DataFrame(data=user_profile_status, index=complete_profile).T\n", |
| 219 | + "user_profile_df.head()" |
| 220 | + ] |
| 221 | + }, |
| 222 | + { |
| 223 | + "cell_type": "markdown", |
| 224 | + "metadata": {}, |
| 225 | + "source": [ |
| 226 | + "This dataframe can then be written to a _.csv._ file on your fileshare," |
| 227 | + ] |
| 228 | + }, |
| 229 | + { |
| 230 | + "cell_type": "code", |
| 231 | + "execution_count": 7, |
| 232 | + "metadata": {}, |
| 233 | + "outputs": [], |
| 234 | + "source": [ |
| 235 | + "output_dir = \"/arcgis/home/\"\n", |
| 236 | + "current = str(int(dt.datetime.now().timestamp()))\n", |
| 237 | + "out_file = \"output_org_user_profile\" + \"_\" + current + \".csv\"\n", |
| 238 | + "\n", |
| 239 | + "user_profile_df.to_csv(os.path.join(output_dir, out_file), index_label='username')" |
| 240 | + ] |
| 241 | + }, |
| 242 | + { |
| 243 | + "cell_type": "markdown", |
| 244 | + "metadata": {}, |
| 245 | + "source": [ |
| 246 | + "and the dataframe can be written to a _.csv_ file item on your Organization." |
| 247 | + ] |
| 248 | + }, |
| 249 | + { |
| 250 | + "cell_type": "code", |
| 251 | + "execution_count": 8, |
| 252 | + "metadata": {}, |
| 253 | + "outputs": [ |
| 254 | + { |
| 255 | + "data": { |
| 256 | + "text/html": [ |
| 257 | + "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n", |
| 258 | + " <div class=\"item_left\" style=\"width: 210px; float: left;\">\n", |
| 259 | + " <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=9f077933498c41fbb222ee95fee23102' target='_blank'>\n", |
| 260 | + " <img src='http://static.arcgis.com/images/desktopapp.png' class=\"itemThumbnail\">\n", |
| 261 | + " </a>\n", |
| 262 | + " </div>\n", |
| 263 | + "\n", |
| 264 | + " <div class=\"item_right\" style=\"float: none; width: auto; overflow: hidden;\">\n", |
| 265 | + " <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=9f077933498c41fbb222ee95fee23102' target='_blank'><b>output_org_user_profile_1686349431</b>\n", |
| 266 | + " </a>\n", |
| 267 | + " <br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/layers16.png' style=\"vertical-align:middle;\">CSV by MMajumdar_geosaurus\n", |
| 268 | + " <br/>Last Modified: June 09, 2023\n", |
| 269 | + " <br/>0 comments, 0 views\n", |
| 270 | + " </div>\n", |
| 271 | + " </div>\n", |
| 272 | + " " |
| 273 | + ], |
| 274 | + "text/plain": [ |
| 275 | + "<Item title:\"output_org_user_profile_1686349431\" type:CSV owner:MMajumdar_geosaurus>" |
| 276 | + ] |
| 277 | + }, |
| 278 | + "execution_count": 8, |
| 279 | + "metadata": {}, |
| 280 | + "output_type": "execute_result" |
| 281 | + } |
| 282 | + ], |
| 283 | + "source": [ |
| 284 | + "gis.content.add({}, output_dir + out_file)" |
| 285 | + ] |
| 286 | + }, |
| 287 | + { |
| 288 | + "cell_type": "markdown", |
| 289 | + "metadata": {}, |
| 290 | + "source": [ |
| 291 | + "You may download this item if you wish, and if you decide to delete this item after having used it, you may run the script below by updating the `item_id` with the id of this file in your organization." |
| 292 | + ] |
| 293 | + }, |
| 294 | + { |
| 295 | + "cell_type": "code", |
| 296 | + "execution_count": null, |
| 297 | + "metadata": {}, |
| 298 | + "outputs": [], |
| 299 | + "source": [ |
| 300 | + "item = gis.content.get(item_id)\n", |
| 301 | + "item.delete()" |
| 302 | + ] |
| 303 | + }, |
| 304 | + { |
| 305 | + "cell_type": "markdown", |
| 306 | + "metadata": {}, |
| 307 | + "source": [ |
| 308 | + "# Conclusion\n", |
| 309 | + "\n", |
| 310 | + "This notebook checked attribute values for an organization's users and wrote the results to a _.csv_ file. This file can then be analyzed to validate that all user profiles contain the minimum required attributes as defined by any policies or regulations." |
| 311 | + ] |
| 312 | + } |
| 313 | + ], |
| 314 | + "metadata": { |
| 315 | + "esriNotebookRuntime": { |
| 316 | + "notebookRuntimeName": "ArcGIS Notebook Python 3 Standard", |
| 317 | + "notebookRuntimeVersion": "7.0" |
| 318 | + }, |
| 319 | + "kernelspec": { |
| 320 | + "display_name": "Python 3 (ipykernel)", |
| 321 | + "language": "python", |
| 322 | + "name": "python3" |
| 323 | + }, |
| 324 | + "language_info": { |
| 325 | + "codemirror_mode": { |
| 326 | + "name": "ipython", |
| 327 | + "version": 3 |
| 328 | + }, |
| 329 | + "file_extension": ".py", |
| 330 | + "mimetype": "text/x-python", |
| 331 | + "name": "python", |
| 332 | + "nbconvert_exporter": "python", |
| 333 | + "pygments_lexer": "ipython3", |
| 334 | + "version": "3.7.16" |
| 335 | + }, |
| 336 | + "toc": { |
| 337 | + "base_numbering": 1, |
| 338 | + "nav_menu": {}, |
| 339 | + "number_sections": true, |
| 340 | + "sideBar": true, |
| 341 | + "skip_h1_title": true, |
| 342 | + "title_cell": "Table of Contents", |
| 343 | + "title_sidebar": "Contents", |
| 344 | + "toc_cell": true, |
| 345 | + "toc_position": {}, |
| 346 | + "toc_section_display": true, |
| 347 | + "toc_window_display": true |
| 348 | + } |
| 349 | + }, |
| 350 | + "nbformat": 4, |
| 351 | + "nbformat_minor": 2 |
| 352 | +} |
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