Thomas Zuberbühler moosetraveller

Version 2021-06-14

GIS Development Environment

This document describes a development environment for a GIS developer who also works as a cartographer. Please note that software/configuration may or may not be useful for you as it depends on the technology stack used. Also, consider that software products evolve quickly and better software enters our lives. ;)

This document is a snapshot (at the time written) and subject of personal opinion.

Technology Stack / Tasks

JavaScript and other web development
C#, ASP.NET, Python

Simple ASP.NET Core HTTP Proxy

Why needed?

There is no Esri Proxy (https://github.com/Esri/resource-proxy) for ASP.NET Core. However, it's very easy to implement a simple ASP.NET HTTP proxy. The solution below is not a full replacement of proxy.ashx but elaborates an idea how to handle CORS issues and login credential in a webmap application.

Note: If you have authorization and access to configure the webserver and/or configure ArcGIS Online services, there may be other alternatives (https://github.com/Esri/resource-proxy#alternatives). In addition, it may be worth to consider a dedicated proxy server (depending on the traffic).

Requirements

The NuGet Package AspNetCore.Proxy (https://github.com/twitchax/AspNetCore.Proxy) must be installed.

`appsettings.json`

Download and Convert Image to Base64 String

Following code snippet fetches the image from an URL and converts the blob to a base64 string before saving the file to the file system. (Saving the file to the file system can be considered being additional boilerplate as a conversion from a blob to a base64 string is not needed to save a file to the file system. See second example.)

The code snippets shows how to:

download an image from a server
convert image to a base64 string

/**
 * Fetches an image from given URL.

Example of an Exception Filter

using System;
using System.Net;
using System.Threading.Tasks;
using Microsoft.Extensions.Logging;
using Microsoft.AspNetCore.Hosting;
using Microsoft.Extensions.Hosting;
using Microsoft.AspNetCore.Mvc;
using Microsoft.AspNetCore.Mvc.Filters;

How to use multiple SSH keys

Note: Replace USER_NAME with your username.

Create SSH Key

In this scenario we assume that we use two different GIT repos:

Run ssh-keygen -t rsa -C "[email protected]"
Enter file name (and path), e.g. C:\Users\USER_NAME\.ssh\id_rsa_github
Type in a passphrase (use a secure, long passphrase)
Confirm passphrase
Re-do step 1 to 4 for id_rsa_azure

Run Jupyter on a Remote Computer

If you run Jupyter on a remote computer, you could start Jupyter with --ip 0.0.0.0 and access with the remote computer's IP address. However, this leaves your data wide open to anyone in the internet.

Alternatively, you could also use SSH Port Forwarding:

Start Jupyter on the remote computer with
jupyter notebook --no-browser --port=XXXX
Enable port forwarding on your local machine with
ssh -N -f -L localhost:YYYY:localhost:XXXX remoteuser@remotehost
Simply access Jupyter Lab on your local machine with http://localhost:XXXX

Make Panel Draggable

HTML

<div id="panelContainer">
    <div id="panelTitle">Title</div>
    <div id="panelBody">Body</div>
</div>

	# Renames all files in a directory from OLDID_FileName.xtf to NEWID_FileName.xtf. Moves the files as well if
	# source and target directory are not the same. A CSV file with 2 columns (OLDID,NEWID) is required.

	import re
	import os
	import csv
	# import shutil

	source_directory = r"/Users/thozub/Desktop/files"
	target_directory = r"/Users/thozub/Desktop/files" # directory must exist

	{
	"$schema": "https://aka.ms/terminal-profiles-schema",

	"defaultProfile": "{0caa0dad-35be-5f56-a8ff-afceeeaa6101}",

	"copyOnSelect": false,
	"copyFormatting": true,

	"profiles": {
	"defaults": {

	import os
	import json
	import requests
	import shutil

	# prerequisites:
	# pip install instagram-scraper
	# pip install requests

	# do only use to download your own images