{"id":1331482,"date":"2021-08-20T11:32:52","date_gmt":"2021-08-20T18:32:52","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1331482"},"modified":"2021-08-20T12:07:55","modified_gmt":"2021-08-20T19:07:55","slug":"converting-a-csv-with-photos-to-a-layer-with-attachments","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/instant-apps\/mapping\/converting-a-csv-with-photos-to-a-layer-with-attachments","title":{"rendered":"Converting a CSV with photos to a layer with attachments"},"author":266402,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[759832,555752,42641,462082,24341],"industry":[],"product":[36841,760042,36551],"class_list":["post-1331482","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-arcgis-instant-apps","tag-arcgis-notebooks","tag-arcgis-online","tag-attachment-viewer","tag-python","product-api-python","product-instant-apps","product-arcgis-online"],"acf":{"short_description":"This blog walks you through creating a layer with attachments from a CSV with linked images using\u00a0an\u00a0astronaut data CSV\u00a0as\u00a0an\u00a0example.\u00a0","flexible_content":[{"acf_fc_layout":"content","content":"

There is an incredible amount of data out there that’s stored in CSVs with images stored as links. Currently, there is no simple way to create a layer from a CSV and mass download and attach the linked images to it. Why would you want to do this? The <\/span>Attachment Viewer Instant App<\/span><\/a>\u00a0is a beautiful way to display images while still viewing the geospatial\u00a0data but\u00a0can only be used\u00a0for layers with\u00a0attachments.\u00a0<\/span>\u00a0<\/span><\/p>\n

This\u00a0method\u00a0outlined below uses a short python script in the ArcGIS notebook to\u00a0fill the gap.\u00a0The script includes a function that downloads and attaches images to the right location in one step.\u00a0This blog walks you through creating a layer with attachments from a CSV with linked images using\u00a0an\u00a0<\/span>astronaut data CSV<\/span><\/a>\u00a0as\u00a0an\u00a0example.<\/span>\u00a0<\/span><\/p>\n

Setting up your Environment<\/strong><\/h2>\n"},{"acf_fc_layout":"sidebar","content":"

A few import lines are necessary before we start. These lines import the modules we will be using to manipulate the\u00a0feature\u00a0layers (the GIS module) and edit data frames (the\u00a0pandas\u00a0module).<\/span>\u00a0<\/span><\/p>\n","image_reference":false,"layout":"code_snippet","image_reference_figure":"","snippet":"from arcgis.gis import GIS\r\nimport pandas as pd\r\ngis = GIS(\"home\")","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

Adding your CSV<\/strong><\/h2>\n

First, you need to add\u00a0the\u00a0CSV\u00a0file\u00a0to your\u00a0files in the notebook. This can be done simply through the notebook by clicking on\u00a0<\/span>File<\/span><\/i>\u00a0in the top toolbar and uploading the CSV to\u00a0the\u00a0<\/span>home<\/span><\/i>\u00a0folder. From here we want to add the CSV to our notebook by clicking the little plus next to\u00a0it\u2019s\u00a0name.\u00a0<\/span>\u00a0<\/span><\/p>\n

Creating\u00a0your Layer<\/span><\/b>\u00a0<\/span><\/h2>\n

The easiest way to create a layer from a CSV is through the\u00a0<\/span>My Content\u00a0<\/span><\/i>Page. Once in\u00a0<\/span>My Content<\/span><\/i>\u00a0click on\u00a0<\/span>add item\u00a0<\/span><\/i>and upload\u00a0the\u00a0CSV making sure to select \u201cAdd CSV and create a hosted\u00a0feature\u00a0layer.\u201d<\/span>\u00a0<\/span><\/p>\n

Once the layer is published you need to add it to your notebook. <\/span>\u00a0<\/span><\/p>\n

Adding your Layer to the Notebook<\/span><\/b>\u00a0<\/span><\/h2>\n

To add the\u00a0layer\u00a0click on\u00a0<\/span>Add<\/span><\/i>\u00a0in the top toolbar, find the layer in\u00a0<\/span>My Content<\/span><\/i>\u00a0and click the plus next to it to add it to the notebook.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"sidebar","content":"

From here the notebook should look something\u00a0like this:\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n","image_reference":false,"layout":"code_snippet","image_reference_figure":"","snippet":"from arcgis.gis import GIS\r\nimport pandas as pd\r\ngis = GIS(\"home\")\r\ndataset = '\/arcgis\/home\/AstronautBirths.csv'\r\n# Item Added From Toolbar\r\n# Title: Astronaut Birth Locations | Type: Feature Service | Owner: lydia_wma\r\nitem = gis.content.get(\"5bb2104af5814b96a5468346ee2555ec\")","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

Downloading and Attaching Linked Images<\/span><\/span><\/strong><\/h2>\n"},{"acf_fc_layout":"sidebar","content":"

Here comes the fun part! The function definition below mass downloads and attaches the images to the right locations in the layer.\u00a0<\/span>It\u00a0<\/span>enables attachments and then\u00a0<\/span>works as a loop to open each image\u00a0<\/span>url<\/span>, check if\u00a0<\/span>it’s<\/span>\u00a0valid, and attach it to the location if it is.\u00a0<\/span>Copy and paste it into your\u00a0<\/span>notebook!<\/span><\/span>\u00a0<\/span><\/p>\n","image_reference":false,"layout":"code_snippet","image_reference_figure":"","snippet":"def download_attach(csv_path, photo_column, feature_layer): \r\n import pandas as pd\r\n import requests\r\n import shutil\r\n headers = {'User-Agent': 'Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/50.0.2661.102 Safari\/537.36'}\r\n feature_layer = feature_layer.layers[0]\r\n mgr = feature_layer.manager\r\n mgr.update_definition({\"hasAttachments\": True})\r\n index = 0\r\n path_to_data = csv_path\r\n data = pd.read_csv(path_to_data)\r\n data = data.dropna(subset=[photo_column])\r\n for row in data[photo_column]:\r\n index += 1\r\n imgURL = row\r\n file_name = imgURL.split('\/')[-1]\r\n r = requests.get(imgURL, stream = True, headers = headers)\r\n if r.status_code == 200:\r\n r.raw.decode_content = True \r\n with open(file_name, 'wb') as f:\r\n shutil.copyfileobj(r.raw, f)\r\n #add attachment: attachment is file_name\r\n feature_layer.attachments.add(index, file_name)\r\n else:\r\n print('invalid link')\r\n return \"done\"","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"sidebar","content":"

After the function definition you will need to call the function to perform the attachments. You can do so using the code below.<\/span><\/span>\u00a0<\/span><\/p>\n","image_reference":false,"layout":"code_snippet","image_reference_figure":"","snippet":"download_attach(csv_path, photo_column, feature_layer)\r\n","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"sidebar","content":"

In the Astronaut CSV, photo_link is the name of the column in the CSV that contains the links. Make sure that the column name is in quotes because it is a string!<\/span>\u00a0<\/span><\/p>\n

As an example, my function call looks like this:<\/p>\n","image_reference":false,"layout":"code_snippet","image_reference_figure":"","snippet":"download_attach(dataset, \u201cphoto_link\u201d, item)","spotlight_name":"","section_title":"","position":"Right","spotlight_image":false},{"acf_fc_layout":"content","content":"

In the Astronaut CSV I’m using\u00a0photo_link\u00a0is the name of the column in the CSV that contains the links. Make sure\u00a0that\u00a0the column name is in quotes because it is a string!<\/span>\u00a0<\/span><\/p>\n

Running the Notebook<\/span><\/b>\u00a0<\/span><\/h2>\n

To run the notebook simply click the\u00a0<\/span>run\u00a0<\/span><\/i>button in the top toolbar until all the cells have been run! You will know it finished running when the\u00a0asterisk\u00a0* turns into a number in the box at the left of each cell.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

To ensure everything\u00a0was added\u00a0properly,\u00a0open the published feature layer\u2019s attribute table in a new map and verify images are attached to the correct\u00a0locations.<\/span>\u00a0<\/span><\/p>\n

Final Steps<\/span><\/b>\u00a0<\/span><\/h2>\n

From here you are ready to create your map and app!<\/span>\u00a0<\/span><\/p>\n

Once you have\u00a0verified\u00a0the process above worked properly and attachments are added to the correct layer,\u00a0you\u2019re\u00a0ready to make your map and symbolize\u00a0locations\u00a0appropriately.\u00a0If you would like to visualize only\u00a0locations\u00a0with attachments, you will need to create a new field in the Classic Map Viewer and calculate the field using the following arcade expression:<\/span>\u00a0Count(Attachments($feature))\u00a0<\/span><\/i><\/b>which will create a field with the number of attachments for each\u00a0location. From there you can filter the layer to show only\u00a0locations\u00a0where that field does not equal zero\u00a0\u2013 locations that don\u2019t have zero attachments.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Afterwards you can make an Attachment Viewer Instant App to\u00a0highlight\u00a0the attachments and geospatial\u00a0information. See the following blog\u00a0for more help on creating the app:\u00a0<\/span>Build an Attachment Viewer App with Express Setup<\/span><\/a>\u00a0<\/span><\/p>\n

Click\u00a0<\/span><\/span>here<\/span><\/span><\/a>\u00a0to see the final Attachment Viewer App showing only items with attachments!<\/span><\/span>\u00a0<\/span><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":1331982,"id":1331982,"title":"Screen Shot 2021-08-20 at 3.05.42 PM","filename":"Screen-Shot-2021-08-20-at-3.05.42-PM.png","filesize":858268,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/08\/Screen-Shot-2021-08-20-at-3.05.42-PM.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/instant-apps\/mapping\/converting-a-csv-with-photos-to-a-layer-with-attachments\/screen-shot-2021-08-20-at-3-05-42-pm","alt":"A Attachment Viewer Instant App opened to Astronaut Thomas Stafford and his birthplace","author":"266402","description":"","caption":"","name":"screen-shot-2021-08-20-at-3-05-42-pm","status":"inherit","uploaded_to":1331482,"date":"2021-08-20 19:06:24","modified":"2021-08-20 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