Live Demo: TODO

• Install Node.js
• Install MongoDB
• Install VS Code

• Clone the repository

git clone --depth=1 https://github.com/bowdenk7/express-typescript-starter.git <project_name>

• Install dependencies

cd <project_name>
npm install

• Start your mongoDB server (you'll probably want another command prompt)

mongod

• Build and run the project

npm start

Navigate to http://localhost:3000

The main purpose of this repository is to show a good end-to-end project setup and workflow for writing Node code in TypeScript. I will try to keep this as up-to-date as possible, but community contributions and recommendations for improvements are encourage and will be most welcome.

In the next few sections I will call out everything that changes when adding TypeScript to an Express project. Note that all of this has already been setup for this project, but feel free to use this as a reference for converting other Node.js project to TypeScript.

Note on editors! - TypeScript has great support in every editor, but this project has been pre-configured for use with VS Code. Throughout the README I'll try to call out specific places where VS code really shines or where this project has been setup to take advantage of specific features.

TypeScript itself is simple to add to any project with npm.

npm install -D typescript

If you're using VS Code then you're good to go! VS Code will detect and use the TypeScript version you have installed in your node_modules folder. For other editors, make sure you have the corresponding TypeScript plugin.

The most obvious difference in a TypeScript + Node project is the folder structure. In a TypeScript project, you it's best to have separate source and distributable files. TypeScript (.ts) files live in your src folder and after compilation are output as JavaScript (.js) in the dist folder. The test and views folders remain top level as expected.

The full folder structure of this app is explained below:

Note! Make sure you have already built the app using npm run build or yarn run build

It is rare for JavaScript projects not to have some kind of build pipeline these days, however Node projects typically have the least amount build configuration. Because of this I've tried to keep the build as simple as possible. If you're concerned about compile time, the main watch task takes ~2s to refresh.

TypeScript uses the file tsconfig.json to adjust project compile options. Let's dissect this project's tsconfig.json, starting with the compilerOptions which details how your project is compiled.

    "compilerOptions": {
        "module": "commonjs",
        "target": "es6",
        "noImplicitAny": true,
        "moduleResolution": "node",
        "sourceMap": true,
        "outDir": "dist",
        "baseUrl": ".",
        "paths": {
            "*": [
                "node_modules/*",
                "src/types/*"
            ]
        }
    },

The rest of the file define the TypeScript project context. The project context is basically a set of options that determine which files are compiled when the compiler is invoked with a specific tsconfig.json. In this case, we use the following to define our project context:

    "include": [
        "src/**/*"
    ]

include takes an array of glob patterns of files to include in the compilation. This project is fairly simple and all of our .ts files are under the src folder. For more complex setups, you can include an exclude array of glob patterns that removes specific files from the set defined with include. There is also a files option which takes an array of individual file names which overrides both include and exclude.

All the different build steps are orchestrated via npm scripts. Npm scripts basically allow us to call (and chain) terminal commands via npm. This is nice because most JavaScript tools have easy to use command line utilities allowing us to not need grunt or gulp to manage our builds. If you open package.json, you will see a scripts section with all the different scripts you can call. To call a script, simply run npm run <script-name> (or yarn run <script-name if using yarn) from the command line. You'll notice that npm scripts can call each other which makes it easy to compose complex builds out of simple individual build scripts. Below is a list of all the scripts this template has available:

TypeScript uses .d.ts files to provide types for JavaScript libraries that were not written in TypeScript. This is great because once you have a .d.ts file, TypeScript can type check that library and provide you better help in your editor. The TypeScript community actively shares all of the most up-to-date .d.ts files for popular libraries on a GitHub repository called DefinitelyTyped. Making sure that your .d.ts files are setup correctly is super important because once they're in place, you get an incredible amount high quality of type checking (and thus bug catching, IntelliSense, and other editor tools) for free.

Note! Because we're using "noImplicitAny": true, we are required to have a .d.ts file for every library we use. While you could set noImplicitAny to false to silence errors about missing .d.ts files, it is a best practice to have a .d.ts file for every library. (Even the .d.ts file is basically empty!)

For the most part, you'll find .d.ts files for the libraries you are using on DefinitelyTyped. These .d.ts files can be easily installed into your project by using the npm scope @types. For example, if we want the .d.ts file for jQuery, we can do so with npm install --save-dev @types/jquery.

Note! Be sure to add --save-dev (or -D) to your npm install. .d.ts files are project dependencies, but only used at compile time and thus should be dev dependencies.

In this template, all the .d.ts files have already been added to devDependencies in package.json, so you will get everything you need after running your first npm install. Once .d.ts files have been installed using npm, you should see them in your node_modules/@types folder. The compiler will always look in this folder for .d.ts files when resolving JavaScript libraries.

If you try to install a .d.ts file from @types and it isn't found, or you check DefinitelyTyped and cannot find a specific library, you will want to create your own .d.ts file. In the src folder of this project, you'll find the types folder which holds the .d.ts files that aren't on DefinitelyTyped (or weren't as of the time of this writing).

The compiler knows to look in node_modules/@types by default, but to help the compiler find our own .d.ts files we have to configure path mapping in our tsconfig.json. Path mapping can get pretty confusing, but the basic idea is that the TypeScript compiler will look in specific places, in a specific order when resolving modules, and we have the ability to tell the compiler exactly how to do it. In the tsconfig.json for this project you'll see the following:

"baseUrl": ".",
"paths": {
    "*": [
        "src/types/*"
    ]
}

This tells the TypeScript compiler that in addition to looking in node_modules/@types for every import (*) also look in our own .d.ts file location <baseUrl> + src/types/*. So when we write something like:

import * as lusca from "lusca";

First the compiler will look for a d.ts file in node_modules/@types and then when it doesn't find one look in src/types and find our file lusca.d.ts.

Unless you are familiar with .d.ts files, I strongly recommend trying to use the tool dts-gen first. The README does a great job explaining how to use the tool, and for most cases, you'll get an excellent scaffold of a .d.ts file to start with. In this project, bcrypt-nodejs.d.ts, fbgraph.d.ts, and lusca.d.ts were all generated using dts-gen.

If generating a .d.ts using dts-gen isn't working, you should tell me about it first, but then you can create your own .d.ts file.

If you just want to silence the compiler for the time being, create a file called <some-library>.d.ts in your types folder and then add this line of code:

declare module "<some-library>";

If you want to invest some time into making a great .d.ts file that will give you great type checking and IntelliSense, the TypeScript website has great docs on authoring .d.ts files.

The reason it's so easy to get great .d.ts files for most libraries is that developers like you contribute their work back to DefinitelyTyped. Contributing .d.ts files is a great way to get into the open source community if it's something you've never tried before, and as soon as your changes are accepted, every other developer in the world has access to your work.

If you're interested in giving it a shot, check out the guidance on DefinitelyTyped. If you're not interested, you should tell me why so we can help make it easier in the future!

In general if you stick to the following steps you should have minimal .d.ts issues;

1. After installing any npm package as a dependency or dev dependency, immediately try to install the .d.ts file via @types.
2. If the library has a .d.ts file on DefinitelyTyped, the install will succeed and you are done. If the install fails because the package doesn't exist, continue to step 3.
3. Make sure you project is configured for supplying your own d.ts files
4. Try to generate a .d.ts file with dts-gen. If it succeeds, you are done. If not, continue to step 5.
5. Create a file called <some-library>.d.ts in your types folder.
6. Add the following code:

declare module "<some-library>";

7. At this point everything should compile with no errors and you can either improve the types in the .d.ts file by following this guide on authoring .d.ts files or continue with no types.
8. If you are still having issues, let me know by sending me an email or pinging me on twitter, I will help you.

Debugging TypeScript is exactly like debugging JavaScript with one caveat, you need source maps.

Source maps allow you to drop break points in your TypeScript source code and have that break point be hit by the JavaScript that is being executed at runtime.

Note! - Source maps aren't specific to TypeScript. Anytime JavaScript is transformed (transpiled, compiled, optimized, minified, etc) you need source maps so that the code that is executed at runtime can be mapped back to the source that generated it.

The best part of source maps is when configured correctly, you don't even know they exist! So let's take a look at how we do that in this project.

First you need to make sure your tsconfig.json has source map generation enabled:

"compilerOptions" {
    "sourceMaps": true
} 

With this option enabled, next to every .js file that the TypeScript compiler outputs there will be a .map.js file as well. This .map.js file provides the information necessary to map back to the source .ts file while debugging.

Note! - It is also possible to generate "inline" source maps using "inlineSourceMap": true. This is more common when writing client side code because some bundlers need inline source maps to preserve the mapping through the bundle. Because we are writing Node.js code, we don't have to worry about this.

Debugging is one of the places where VS Code really shines over other editors. Node.js debugging in VS Code is easy to setup and even easier to use. This project comes pre-configured with everything you need to get started.

When you hit F5 in VS Code, it looks for a top level .vscode folder with a launch.json file. In this file, you can tell VS Code exactly what you want to do:

{
    "type": "node",
    "request": "launch",
    "name": "Debug",
    "program": "${workspaceRoot}/dist/server.js",
    "smartStep": true,
    "outFiles": [
        "../dist/**/*.js"
    ],
    "protocol": "inspector"
}

This is mostly identical to the "Node.js: Launch Program" template with a couple minor changes:

With this file in place, you can hit F5 to serve the project with the debugger already attached. Now just set your breakpoints and go!

Warning! Make sure you don't have the project already running from another command line. VS Code will try to launch on the same port and error out. Likewise be sure to stop the debugger before returning to your normal npm start process.

For this project, I chose Jest as our test framework. While Mocha is probably more common, Mocha seems to be looking for a new maintainer and setting up TypeScript testing in Jest is wicked simple.

To add TypeScript + Jest support, first install a few npm packages:

npm install -D jest ts-jest

jest is the testing framework itself, and ts-jest is just a simple function to make running TypeScript tests a little easier.

Jest's configuration lives in package.json, so let's open it up and add the following code:

"jest": {
    "globals": {
      "__TS_CONFIG__": "tsconfig.json"
    },
    "moduleFileExtensions": [
      "ts",
      "js"
    ],
    "transform": {
      "^.+\\.(ts)$": "./node_modules/ts-jest/preprocessor.js"
    },
    "testMatch": [
      "**/test/**/*.test.(ts|js)"
    ],
    "testEnvironment": "node"
  },

Basically we are telling Jest that we want it to consume all files that match the pattern "**/test/**/*.test.(ts|js)" (all .test.ts/.test.js files in the test folder), but we want to preprocess the .ts files first. This preprocess step is very flexible, but in our case, we just want to compile our TypeScript to JavaScript using our tsconfig.json. This all happens in memory when you run the tests, so there are no output .js test files for you to manage.

Writing tests for web apps has entire books dedicated to it and best practices are strongly influenced by personal style, so I'm deliberately avoiding discussing how or when to write tests in this guide. However, if prescriptive guidance on testing is something that you're interested in, let me know, I'll do some homework and get back to you.

TSLint is a code linter which mainly helps catch minor code quality and style issues. TSLint is very similar to ESLint or JSLint but is built with TypeScript in mind.

Like most linters, TSLint has a wide set of configurable rules as well as support for custom rule sets. All rules are configured through tslint.json. In this project, we are using a fairly basic set of rules with no additional custom rules. The settings are largely based off the TSLint settings that we use to develop TypeScript itself.

Like the rest of our build steps, we use npm scripts to invoke TSLint. To run TSLint you can call the main build script or just the TSLint task.

npm run build   // runs full build including TSLint
npm run tslint  // runs only TSLint

Notice that TSLint is not a part of the main watch task. It can be annoying for TSLint to clutter the output window while in the middle of writing a function, so I elected to only run it only during the full build. If you are interesting in seeing TSLint feedback as soon as possible, I strongly recommend the TSLint extension in VS Code.

Dependencies are managed through package.json. In that file you'll find two sections:

To install or update these dependencies you can use either npm or yarn.

Here is a section of miscellaneous tips.

Yarn is a new JavaScript package manager that builds off of npm. It is not a replacement for npm, however it does provide a few advantages over npm in some cases.

Yarn is generally faster and has a few extra features like yarn why <package> which will tell you which package required a specific dependency. Yarn also doesn't clutter your command prompt when your npm scripts return with status 1. For these reasons I would personally recommend downloading and giving Yarn a shot. That said, everything in this template can be used with npm as well.

A majority of this quick start's content was inspired or adapted from Sahat's excellent Hackathon Starter project.