This guide offers a reference for creating custom features in ArcGIS Insights using Python and R. It is the definitive guide for Insights scripting topics and a resource for implementing Jupyter's Kernel Gateway.

Check out the wiki here

• ArcGIS Insights (version 2020.x or above). Refer readme for details on versions.
• Anaconda (with Python version 3.7 or above)
• See needed Python and R dependencies

Note: Scripting is not supported in Insights running in ArcGIS Online. Download Insights Desktop for this instead, which supports ArcGIS Online connections, ArcGIS Enterprise connections, database and scripting features.

Note: Plots created with pandas i.e., pandas.DataFrame.plot() are not displayed in the cards when added to a script model.

You can access an archived version of this documentation here.

Insights supports connections to Jupyter's Kernel Gateway, which is an open source web server distributed through conda-forge and other repository channels. To setup a Kernel Gateway, with the required dependencies choose one of the following deployment sections.

• Deploy with Anaconda (Recommended)
• Deploy with Docker

Check out Deployment Patterns for system planning recommendations.

Note: If you have already created the conda environment, skip to this section here

1. Install Anaconda

2. Create a folder named gateway

3. Copy selfsign.py into gateway folder

4. Copy the .yml file into the gateway folder.

5. Open Anaconda's command prompt and CD into the gateway folder

6. If you are using 2023.1, 2023.2, or 2023.3 versions of the ArcGIS Insights, run the following commands:

   conda env create -f insights-latest.yml
   conda activate insights-latest
   python selfsign.py

Note: If the process of creating a conda environment is taking too long, follow these instructions to create the environment here

7. If you are using any of the versions 2021.2, 2021.3, 2022.1, 2022.2, or 2022.3 of the ArcGIS Insights, run the following commands:

   conda env create -f insights-2022.yml
   conda activate insights-2022
   python selfsign.py

8. If you are using any of the versions 2020.2, 2020.3 or 2021.1 of the ArcGIS Insights, run the following commands:

   conda env create -f insights-base.yml
   conda activate insights-base
   python selfsign.py

9. Start the Kernel Gateway:

• If you are using Insights in ArcGIS Enterprise, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --certfile=./server.crt --keyfile=./server.key --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

• If you are using Insights Desktop, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

10. Open the kernel gateway url in the browser before using it to connect in the Insights web application. For example: If you are using Insights in Chrome, open the gateway url in a new tab in Chrome, and bypass the security exceptions. Similarly, if you are using Insights in Safari or Firefox, open the gateway url and bypass the security exceptions. For more detailed instructions on bypassing security exceptions, refer wiki

11. When you open the gateway url (ex: https://pickle.esri.com:9999), you will see a JSON response as {"reason": "Not Found", "message": ""}. This is a valid message and it indicates that our kernel is up and running and it is ready to use within Insights. This message is just a default swagger-api's response. If you are interested in more detailed response regarding the kernel, you can navigate to api/kernelspecs page (ex: https://pickle.esri.com:9999/api/kernelspecs)

12. Do not close the Anaconda prompt or the terminal window after starting the kernel gateway. Just minimize it. Closing the window will kill the kernel gateway.

13. Optional: Stop Kernel Gateway by pressing Control-C in the running window or close the window.

Note: If you would like to access your data (.csv,.xls, etc.,) in the scripting environment, create a data folder within gateway folder and put your files in it. Then, activate your conda environment after CD'ng into the data folder and run the appropriate gateway command to start the gateway.

1. Install Docker

2. Create a folder named gateway

3. Copy selfsign.py and Dockerfile into gateway folder

4. Run selfsign.py to create certificates in the gateway folder

   python selfsign.py

5. Create a data folder within gateway and put your data files there

6. Run the following command to create the Kernel Gateway Docker image

   docker build -t insights-gateway .

7. Start the Kernel Gateway

   docker run -p 9999:9999 insights-gateway

In some cases, creating a conda environment using a yml file takes a long time, and the process might get stuck as conda is trying to solve the environment by resolving the conflicts between some of the dependencies. Instead of waiting for the process to resolve, we can install the packages one by one. Follow the instructions below to quickly create your environment.

1. Open Anaconda's command prompt and CD into the gateway folder.
2. Creating a new environment and installing dependencies:

• If you are using 2023.1, 2023.2, or 2023.3 versions of the ArcGIS Insights, run the following commands:

  # Creates a new environment named `insights-latest` with Python 3.9.14 installed.
  conda create -n insights-latest -c conda-forge python=3.9.14

  # Activates the insights-latest environment.
  conda activate insights-latest

  # Installs the packages from conda-forge channel.
  conda install -c conda-forge jupyter_kernel_gateway=2.5.1 pandas=1.5.1 shapely=1.8.5 msgpack-python=1.0.4 matplotlib
  conda install -c conda-forge geopandas=0.11.1
  conda install -c conda-forge pyspark=3.3.1
  # You can skip the following if you don't need R kernel.
  conda install -c conda-forge r-itertools
  conda install -c conda-forge r-essentials

  # Creates certificates in the gateway folder.
  python selfsign.py

• If you are using any of the versions 2021.2, 2021.3, 2022.1, 2022.2, or 2022.3 of the ArcGIS Insights, run the following commands:

  # Creates a new environment named `insights-2022` with Python 3.7.12 installed.
  conda create -n insights-2022 -c conda-forge python=3.7.12

  # Activates the insights-2022 environment.
  conda activate insights-2022

  # Installs the packages from conda-forge channel.
  conda install -c conda-forge jupyter_kernel_gateway=2.5.1 pandas=1.5.1 shapely=1.8.5 msgpack-python=1.0.4 matplotlib
  conda install -c conda-forge geopandas
  conda install -c conda-forge pyspark=3.1.0
  # You can skip the following if you don't need R kernel.
  conda install -c conda-forge r-itertools
  conda install -c conda-forge r-essentials

  # Creates certificates in the gateway folder.
  python selfsign.py

3. Start the kernel gateway:

• If you are using Insights in ArcGIS Enterprise, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --certfile=./server.crt --keyfile=./server.key
  --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

• If you are using Insights Desktop, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

Note: If you haven't created a conda environment. Refer to the instructions here

1. Open Anaconda's command prompt and CD into the gateway folder.
2. Activate the conda environment:

• If you are using 2023.1, 2023.2, or 2023.3 versions of the ArcGIS Insights, run the following command:

  conda activate insights-latest

• If you are using any of the versions 2021.2, 2021.3, 2022.1, 2022.2, or 2022.3 of the ArcGIS Insights, run the following command:

  conda activate insights-2022

• If you are using any of the versions 2020.2, 2020.3 or 2021.1 of the ArcGIS Insights, run the following command:

  conda activate insights-base

3. Start the Kernel Gateway:

• If you are using Insights in ArcGIS Enterprise, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --certfile=./server.crt --keyfile=./server.key
  --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

• If you are using Insights Desktop, run the following command:

  jupyter kernelgateway --KernelGatewayApp.ip=0.0.0.0 --KernelGatewayApp.port=9999 --KernelGatewayApp.allow_origin='*' --KernelGatewayApp.allow_credentials='*' --KernelGatewayApp.allow_headers='*' --KernelGatewayApp.allow_methods='*' --JupyterWebsocketPersonality.list_kernels=True --KernelGatewayApp.kernel_manager_class=notebook.services.kernels.kernelmanager.AsyncMappingKernelManager

To create a connection to your Kernel Gateway follow these steps:

1. Open Insights
2. Create a new workbook
3. Click the Scripting icon
4. Complete Kernel Gateway connection form

Note: Connections must reference the Kernel Gateway root URL. For tips on what connections may look like see Connection examples.

Urls may be HTTP or HTTPS. Hosts can be referenced in numerous ways, IP address, localhost, FQDN etc. You can use any available inbound port number that is not already in use. If using 443, a connection will not require the port number. Here are some examples. Yes means connection schema is supported. No, means that URL connection will likely fail (not work).

¹ Insights Desktop can make connections to HTTPS Kernel Gateway endpoints, if the Kernel Gateway uses a domain or a certificate authority certificate.

² If using port 443, the connection url will look like this https://pickle.esri.com. Here pickle is the machine name.

Note: In Chrome, when trying to access the gateway url, it will give you a "Your connection is not private" warning. Click somewhere on the page and then blindly type the word thisisunsafe. This will instantly bypass the warning.

Python and R scripting features are distributed across the app. Shared scripts are accessed from the Add dialog. Script modules and module options are accessed via the Data Pane. Lastly, the Console itself has many script features. Refer to this table for an overview of tools and capabilities.

Icon	Tool Name	Description
	Open console	Opens the Python and R scripting console or Kernel Gateway connection dialog. If no Kernel Gateway connection exists within the page, this is when the connection dialog openes.
	Create module	Creates a script from selected cells then adds a module to the data pane.
	Create card	Takes the active cell and creates a card.
	Delete cell	Deletes the active cell.
	Export script	Enables saving of cell (or cells) to common formats like Python, R, or Jupyter Notebook files.
	Import file	Enables importing of scripts into the console from common files like Python, R or Jupyter Notebook files.
	Insert cell	Inserts a new scripting cell.
	Restart kernel	Restarts the execution kernel within the Kernel Gateway. Restarting stops running scripts and clears the namespace and any data held in memory.
	Run	Runs script in active cell.
	Run all	Runs all scripts in active cell.
	Switch connection	Enables connection changing from one Kernel Gateway to another.

The console enables keyboard shortcuts to perform routine tasks quickly.

The console supports the following magic command. This magic command must be placed in it's own cell.

There are various configurations to choose from when planning a Jupyter Kernel Gateway with Insights. It should be noted that some configurations may have tactical advantages over others. Additionally, each configuration will offer different end user experiences and varying degrees of effort regarding setup and maintenance.

These conceptual diagrams were designed to help organizations visualize different kinds of Jupyter Kernel Gateway configurations next to different kinds of Insights deployments.

• This configuration entails low newtworking and firewall considerations
• Data files may live on personal computer or file server

• This configuration entails moderate networking and firewall considerations and skills
• Data files should live on file server or Kernel Gateway machine

• This configuration entails moderate networking and firewall considerations and skills
• Data files should live on file server or Kernel Gateway machine

• This configuration entails moderate networking and firewall considerations and skills
• Data files may live on personal computer or file server

• Data files may need to be accessible from the cloud
• This configuration entails advanced networking and firewall skills and considerations

Part of the Esri Geospatial Cloud, ArcGIS Insights is data analytics made for advanced location intelligence. Using Insights you can ask questions you did not know to ask, analyze data completely, and tell powerful data stories. Connect to your data directly, then use maps, charts, tables and reuseable models and scripts to perform basic to complex analyses that scale based on skill level and business need.

• Case studies and testimonials
• Product and analytical tool documentation

You can do this by putting an explanation point in front of a pip install command. Like,

!pip install BeautifulSoup4

If all goes well (after running the command), download activity will apear in the output cell. When the command finishes, you can then import your library and run scripts like normal.

from bs4 import BeautifulSoup
soup = BeautifulSoup("<p>Hello Insights!</p>")
print(soup.prettify())

If you've followed the guide (and ran the selfsign.py file), you have created a self signed SSL certificate. It may be possible that Insights cannot make a connection because the web browser itself does not trust the certificate. To work around this problem open the kernel gateway URL in the web browser and accept the browser warning. Then try connecting again.

This error can occur on a windows machine and when this happens, you will see an indefinite progress spinner in the scripting environment. This error can be found in the browser console and can be resolved by installing Websockets on IIS. Go to the Server Manager > Manage > Add Roles and Features > Server Roles > Web Server > Application Development > WebSocket Protocol. Make sure this is checked. Refer: Link

A fundamental way to troubleshoot this problem is confirm that all needed computers can talk to each other. If you are running Insights in Enterprise this means each ArcGIS Server machine, plus your Kernel Gateway and personal computer must all be able to communicate with each other. Insights Desktop entails less troubleshooting. For Insights Desktop deployments, only the Kernel Gateway and your personal computer need to talk to each other.

Try getting the IP address of:

• Your personal computer machine
• Your kernel gateway machine
• Your ArcGIS Server machine(s)

and then from each machine run the ping command to see if ping messages are received.

Tip: On windows, run ipconfig and reference the Iv4 address to get the IP address. On mac, run ipconfig getifaddr en0 and note the address.

If you encounter any issue which you are unable to troubleshoot, open your developer tools and see if there are any error messages in the console and create an issue on the repo with the error message. We will get back to you as soon as possible with a possible solution.

Tip: To open Developer tools of the web browsers, use Shift + Ctrl + I on Windows and Option + Cmd + I on Mac.

Download Insights Desktop

Copyright 2020 Esri

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

A copy of the license is available in the repository's license.txt file.