Set up a Temporal Application project - TypeScript SDK dev guide

The first step to creating a new Temporal Application is to set up your development environment. This chapter walks through the steps to do that using the TypeScript SDK.

Construct a new Temporal Application project

This chapter of the Temporal TypeScript SDK developer's guide covers the minimum set of concepts and implementation details needed to build and run a Temporal Application using TypeScript.

By the end of this section you will know how to construct a new Temporal Application project.

Learning objectives:

Describe the tools available and recommended to develop Workflows.
Describe the code that actually forms a Temporal application.
Implement an appropriate testing framework.

Much of the information in this chapter is also covered in the Temporal 101 course

This chapter introduces the Background Check use case and a sample application as a means to contextualize the information. Future developer guide chapters build on this use case and sample application.

There are three ways to follow this guide:

Use a local dev server
Use Temporal Cloud
Use a self-hosted environment such as Docker

Read more in the Choose a development Cluster section.

In this chapter you will do the following:

Download the Temporal CLI.
Choose your development Cluster.
Create a Namespace on your development Cluster.
Copy boilerplate code into your IDE.
Run your the Worker.
Start the Workflow using the CLI.
Explore the Web UI to view the status of the Workflow and confirm polling Workers.
Add a testing framework and unit tests to the application
Run the application unit tests

Install the Temporal CLI

How to download and install the Temporal CLI

The Temporal CLI is available on MacOS, Windows, and Linux.

MacOS

How to install the Temporal CLI on Mac OS

Choose one of the following install methods to install the Temporal CLI on MacOS:

Install the Temporal CLI with Homebrew

brew install temporal

Install the Temporal CLI with cURL

curl -sSf https://temporal.download/cli.sh | sh

Install the Temporal CLI from CDN

Select the platform and architecture needed.

Download for Darwin amd64: https://temporal.download/cli/archive/latest?platform=darwin&arch=amd64

Extract the downloaded archive.
Add the temporal binary to your PATH.

Linux

How to install the Temporal CLI on Linux

Choose one of the following install methods to install the Temporal CLI on Linux:

Install the Temporal CLI with cURL

curl -sSf https://temporal.download/cli.sh | sh

Windows

How to install the Temporal CLI on Windows

Follow these instructions to install the Temporal CLI on Windows:

Install the Temporal CLI from CDN

Select the platform and architecture needed and download the binary.

Download for Windows amd64: https://temporal.download/cli/archive/latest?platform=windows&arch=amd64

Extract the downloaded archive.
Add the temporal.exe binary to your PATH.

Choose a development Cluster

Which development Cluster should you choose?

We recommend choosing a development environment based on your requirements.

The source code for the Temporal Server (the orchestrating component of the Temporal Cluster) is licensed under the MIT open source license. So, in theory, anyone can take the Temporal Server code and run their Temporal Platform in any number of creative ways.

However, for most developers we recommend starting by choosing one of the following:

Local development server
Temporal Cloud
Self-hosted Temporal Cluster

Temporal does not directly run your code

Keep in mind that in every scenario, the “Temporal Platform” does not host and run your Workers (application code). It is up to you, the developer, to host your application code. The Temporal Platform ensures that properly written code durably executes in the face of platform-level failures.

Local dev server

When to use a local development server?

We recommend using the local development server if you are new to Temporal, or want to start something from scratch and don’t have a self-hosted environment ready or want to pay for a Temporal Cloud account.

The Temporal CLI comes bundled with a development server and provides a fast way to start running Temporal Applications.

However, the local development server does not emit any metrics. If you are eager to to set up Cluster-level metrics for performance tuning, we recommend using a self-hosted Cluster or Temporal Cloud.

Start the dev server

How to start a local development server

If you have successfully installed the Temporal CLI, open a new terminal and run the following command:

temporal server start-dev

This command automatically starts the Temporal Web UI, creates a default Namespace, and creates an in-memory database.

The Temporal Web UI serves to http://localhost:8233.

For more command details and options, see the CLI reference

Create a custom Namespace

How to create a Namespace on the development server

The development server does automatically create a default Namespace (named "default") when it starts up. However, you will create a custom one for our application. Since this is something recommended at a production level, it's recommend practicing it with the development server.

Use the temporal operator namespace create command using the Temporal CLI to create a Namespace on the development server.

temporal operator namespace create backgroundcheck_namespace

For command details and options, see the CLI reference.

Temporal Cloud

When to use Temporal Cloud

If you do not have a Temporal Cloud Account, you can request one using the link on the Get started with Temporal Cloud guide.

We recommend starting off with Temporal Cloud if you already have a production use case, or need to move a scalable proof of concept into production.

In other words, Temporal Cloud is perfect if you are ready to run at scale and don’t want the overhead of managing your own self-hosted Cluster.

To create a Namespace in Temporal Cloud, follow the instructions in How to create a Namespace.

Safely store your certificate and private key

Store certificates and private keys generated for your Namespace as files or environment variables in your project. You need access to your certificate and key to run your Workers and start Workflows.

For more information on certificate requirements, see How to manage certificates in Temporal Cloud.

Self-hosted Temporal Cluster

We recommend using a self-hosted environment if you are starting something new and need to scale with production-level features, but don’t yet need or want to pay for Temporal Cloud.

For example, running a self-hosted Cluster lets you try different databases, view Cluster metrics, use custom Search Attributes, and even play with the Archival feature.

For the purposes of this guide, we show how to use a self-hosted environment that runs completely out of Docker. We acknowledge that it takes a fair amount of experience to elevate from a self-hosted environment in Docker to something that can run at an enterprise production scale. The self-hosted information in this guide should help you make more informed decisions.

To follow along with self-hosted parts of this guide, install the following:

Then, clone the temporalio/docker-compose repository.

Change directory into the root of the project.

Run the docker compose up command.

git clone https://github.com/temporalio/docker-compose.git
cd docker-compose
docker compose up

Create a command alias for the Temporal CLI:

alias temporal_docker="docker exec temporal-admin-tools temporal"

Create a Namespace.

temporal_docker operator namespace create backgroundcheck_namespace

Boilerplate Temporal Application project code

What is the minimum code I need to create a boilerplate Temporal Application?

Let’s start with a single Workflow and register that function with a Worker.

After you get the Worker running and have started a Workflow Execution, you will add a testing framework.

Project structure

You can organize Temporal Application code to suit various needs in a way that aligns with the idiomatic style of the language you are working in. This includes structuring your files according to your organization's best practices.

However, there are some general ways to think about organizing code.

The best practice is to group Workflows together, Activities together, and separate your Worker process into a standalone file. Often this happens respectively per use case, business process, or domain.

For monorepo-style organizational techniques, consider a designated Workflow directory for each use case and place each Workflow in its own file, but also maintain a dedicated place for shared Activities.

For example, your project structure could look like this:

monorepo/
├── backgroundcheck
│   ├── activities
│   ├── tests
│   │   ├── backgroundcheck.tests.ts
│   │   └── ssntracen.tests.ts
│   ├── worker.ts
│   └── workflows
│       └── backgroundcheck.ts
├── loanapplication
│   ├── activities
│   │   └── creditcheck.ts
│   ├── tests
│   │   ├── creditcheck.tests.ts
│   │   └── loanapplication.tests.ts
│   ├── worker.ts
│   └── workflows
│       └── loanapplication.ts
├── shared_activities
│   ├── payment.ts
│   └── send_email.ts
└── shared_tests
    └── tests.ts

Your project will look like this when you've finished this chapter:

├── README.md
├── package-lock.json
├── package.json
├── src
│   ├── activities.ts
│   ├── client.ts
│   ├── mocha
│   │   ├── backgroundcheck.test.ts
│   │   └── ssntrace.test.ts
│   ├── worker.ts
│   └── workflows.,ts
└── tsconfig.json

Initialize TypeScript project dependency framework

The TypeScript SDK offers a project creation tool you can use to scaffold your project. You'll use this tool to create a project folder and set up dependencies.

Run the following command in your shell:

npx @temporalio/create --sample empty backgroundcheck

You'll see the following output as the project generator downloads the project template and installs dependencies, including the TypeScript SDK:

Creating a new Temporal project in /Users/brianhogan/dev/documentation-samples-typescript/backgroundcheck/

Downloading files for sample empty. This might take a moment.

Installing packages. This might take a couple of minutes.

Once the dependencies install, the tool asks you if you'd like to initialize a Git repository for your project, which you should do. The tool then confirms your project is created:

Success! Created project backgroundcheck at:

~/backgroundcheck/

Switch to the backgroundcheck folder.

cd backgroundcheck

The project generator created the following directory structure for you:

├── README.md
├── node_modules
├── package-lock.json
├── package.json
├── src
│   ├── activities.ts
│   ├── client.ts
│   ├── mocha
│   ├── worker.ts
│   └── workflows.ts
└── tsconfig.json

The package.json file holds the project dependencies and a handful of scripts you'll use to run Workflows, Workflows, tests, and other tasks like linting and formatting your code.
The tsconfig.json file holds the TypeScript configuration designed for working with Temporal's SDK.
The src/activities.ts file is where you can define Activities.
The src/client.ts file has the code for a small CLI program to execute a Workflow. You won't use this directly in this guide.
The src/mocha folder is where you'll place your tests. We recommend using Mocha to test your Temporal Workflows and Activities.
The src/workflows.ts file is where you can define Workflows.
The src/worker.ts file has the code to configure and run your Worker process, which executes your Workflows and Activities.

In addition, you'll find configuration files for ESLint and Prettier.

Boilerplate Workflow code

In the Temporal TypeScript SDK programming model, a Workflow Definition is an exportable function.

Open the src/workflows.ts file in your editor. You'll place your Workflow Definition in this file.

To define a Workflow, import the Activity types and the @temporalio/workflow libraries: Define the Activity Execution options. StartToCloseTimeout or ScheduleToCloseTimeout must be set: The backgroundCheck function that follows is an example of a basic Workflow Definition.

View the source code in the context of the rest of the application code.

import * as workflow from '@temporalio/workflow';
import type * as activities from './activities';


const { ssnTrace } = workflow.proxyActivities<typeof activities>({
  startToCloseTimeout: '10 seconds',
});


export async function backgroundCheck(ssn: string): Promise<string> {
  return await ssnTrace(ssn);
}

Temporal Workflows may have any number of custom parameters. However, we strongly recommend that you use objects as parameters, so that the object's individual fields may be altered without changing the signature of the Workflow. All Workflow Definition parameters must be serializable.

Workflow return values must also be serializable. Returning results, returning errors, or throwing exceptions is fairly idiomatic in each language that is supported. However, Temporal APIs that must be used to get the result of a Workflow Execution will only ever receive one of either the result or the error.

To return a value of the Workflow function, use Promise<something>. The Promise is used to make asynchronous calls and comes with guarantees.

Workflow logic is constrained by deterministic execution requirements. Therefore, each language is limited to the use of certain idiomatic techniques. However, each Temporal SDK provides a set of APIs that can be used inside your Workflow to interact with external (to the Workflow) application code.

In the Temporal TypeScript SDK, Workflows run in a deterministic sandboxed environment. The code is bundled on Worker creation using Webpack, and can import any package as long as it does not reference Node.js or DOM APIs.

note

If you must use a library that references a Node.js or DOM API and you are certain that those APIs are not used at runtime, add that module to the ignoreModules list.

In the TypeScript SDK, you can safely use non-deterministic methods and rely on the sandbox to replace non-deterministic code with deterministic versions. However side effects and access to external state must be done through Activities because Activity outputs are recorded in the Event History and can read deterministically by the Workflow.

This limitation also means that Workflow code cannot directly import the Activity Definition. Activity Types can be imported, so they can be invoked in a type-safe manner.

To make the Workflow runtime deterministic, functions like Math.random(), Date, and setTimeout() are replaced by deterministic versions.

Boilerplate Activity code

In the Temporal TypeScript SDK programming model, an Activity is an exportable async function.

You'll define your Activities in this file.

Add the following code to define your Activity:

View the source code in the context of the rest of the application code.

export async function ssnTrace(param: string): Promise<string> {
  // This is where a call to another service is made
  // Here we are pretending that the service that does SSNTrace returned "pass"
  return 'pass';
}

This Activity definition uses a single input parameter and returns a string.

An Activity Definition can support as many other custom parameters as needed. However, all parameters must be serializable.

We recommend creating an Interface and using a single input parameter rather than using multiple input parameters.

Run a dev server Worker

To run a Worker Process with a local development server, define the following steps in code:

Initialize a connection with the Temporal server.
Create a new Worker by passing the Client to creation call.
Register the application's Workflow and Activity functions.
Call run() on the Worker.

In regards to organization, we recommend keeping Worker code separate from Workflow and Activity code.

Add the following code to src/worker.ts to define a worker process that communicates with a local development server:

View the source code in the context of the rest of the application code.

import { NativeConnection, Worker } from '@temporalio/worker';
import * as activities from './activities';

async function run() {
  // Step 1: Establish a connection with Temporal server.
  //
  // Worker code uses `@temporalio/worker.NativeConnection`.
  // (But in your application code it's `@temporalio/client.Connection`.)
  const connection = await NativeConnection.connect({
    address: 'localhost:7233',
    // TLS and gRPC metadata configuration goes here.
  });
  // Step 2: Register Workflows and Activities with the Worker and specify your
  // namespace and Task Queue.
  const worker = await Worker.create({
    connection,
    namespace: 'default',
    taskQueue: 'background-check',
    // Workflows are registered using a path as they run in a separate JS context.
    workflowsPath: require.resolve('./workflows'),
    activities,
  });

  // Step 3: Start accepting tasks on the `background-check` queue
  //
  // The worker runs until it encounters an unexepected error or the process receives a shutdown signal registered on
  // the SDK Runtime object.
  //
  // By default, worker logs are written via the Runtime logger to STDERR at INFO level.
  //
  // See https://typescript.temporal.io/api/classes/worker.Runtime#install to customize these defaults.
  await worker.run();
}

run().catch((err) => {
  console.error(err);
  process.exit(1);
});

Auto restart Worker when code changes

Use nodemon to automatically restart the Worker Process whenever any of the code files in your project change. This is automatically configured for your projects when you use the @temporalio/create command to build your project.

npm run start.watch

Run a Temporal Cloud Worker

A Temporal Cloud Worker requires that you specify the following in the Client connection options:

Temporal Cloud Namespace
Temporal Cloud Address
Certificate and private key associated with the Namespace

Add the following code to src/worker.ts to define a worker process that communicates with Temporal Cloud using an mTLS connection, using configuration provided via environment variables:

View the source code in the context of the rest of the application code.

import fs from 'fs/promises';

import { Worker, NativeConnection } from '@temporalio/worker';
import * as activities from './activities';

// Note that serverNameOverride and serverRootCACertificate are optional.
async function run({
  address,
  namespace,
  clientCertPath,
  clientKeyPath,
  serverNameOverride,
  serverRootCACertificatePath,
  taskQueue,
}: Env) {
  let serverRootCACertificate: Buffer | undefined = undefined;
  if (serverRootCACertificatePath) {
    serverRootCACertificate = await fs.readFile(serverRootCACertificatePath);
  }

  const connection = await NativeConnection.connect({
    address,
    tls: {
      serverNameOverride,
      serverRootCACertificate,
      clientCertPair: {
        crt: await fs.readFile(clientCertPath),
        key: await fs.readFile(clientKeyPath),
      },
    },
  });

  const worker = await Worker.create({
    connection,
    namespace,
    workflowsPath: require.resolve('./workflows'),
    activities,
    taskQueue,
  });
  console.log('Worker connection successfully established');

  await worker.run();
  await connection.close();
}

run(getEnv()).catch((err) => {
  console.error(err);
  process.exit(1);
});

// Helpers for configuring the mTLS client and worker samples
function requiredEnv(name: string): string {
  const value = process.env[name];
  if (!value) {
    throw new ReferenceError(`${name} environment variable is not defined`);
  }
  return value;
}

export interface Env {
  address: string;
  namespace: string;
  clientCertPath: string;
  clientKeyPath: string;
  serverNameOverride?: string;
  serverRootCACertificatePath?: string;
  taskQueue: string;
}

export function getEnv(): Env {
  return {
    address: requiredEnv('TEMPORAL_ADDRESS'),
    namespace: requiredEnv('TEMPORAL_NAMESPACE'),
    clientCertPath: requiredEnv('TEMPORAL_CLIENT_CERT_PATH'),
    clientKeyPath: requiredEnv('TEMPORAL_CLIENT_KEY_PATH'),
    serverNameOverride: process.env.TEMPORAL_SERVER_NAME_OVERRIDE,
    serverRootCACertificatePath: process.env.TEMPORAL_SERVER_ROOT_CA_CERT_PATH,
    taskQueue: process.env.TEMPORAL_TASK_QUEUE || 'hello-world-mtls',
  };
}

When specifying the Temporal Cloud Namespace, make sure to append the Account Id as it appears in the url of the Cloud UI. Consider the following Namespace url: https://cloud.temporal.io/namespaces/backgroundcheck-app.1a23b/workflows, if your Namespace is "backgroundcheck-app" and your Account Id is "1a23b", then you would specify your Namespace as "backgroundcheck-app.1a23b".

The Temporal Cloud gRPC connection address includes your Namesapce and a port number: <Namespace>.<AccountId>.tmprl.cloud:<port>. For example: https://backgroundcheck-app.1a23b.tmprl.cloud:1234. There is an option to copy the grPC endpoint address from the Temporal Cloud UI.

Copy your gRPC endpoint from the UI

Run a Self-hosted Worker

To deploy a self-hosted Worker to your Docker environment, you need to configure your Worker with the appropriate IP address and port.

Confirm network

The default docker-compose.yml file in the temporalio/docker-compose repo has the Temporal Server exposed on port 7233 on the temporal-network.

services:
  # ...
  temporal:
    container_name: temporal
    # ...
    networks:
      - temporal-network
    ports:
      - 7233:7233
    # ...
  # ...

If you are using a different or customized docker compose file, you can see the available networks by using the following command:

docker network ls

Confirm IP address

Get the IP address of the Docker network that the containers are using.

To do that, first inspect the network:

docker network inspect temporal-network

Look for the container named temporal.

Example output:

[
  {
    "Name": "temporal-network",
    // ...
    "Containers": {
      // ...
      "53cf62f0cc6cfd2a9627a2b5a4c9f48ffe5a858f0ef7b2eaa51bf7ea8fd0e86f": {
        "Name": "temporal",
        // ...
        "IPv4Address": "172.18.0.4/16"
        // ...
      }
      // ...
    }
    // ...
  }
]

Copy the IP address part.

Customize Client options

To use a Worker with a self-hosted Temporal Cluster, set the IP address, port, and Namespace in the Temporal Client options.

Add the following code to src/worker.ts to define a worker process that communicates with a self-hosted Temporal cluster using a specific namespace and IP address:

View the source code in the context of the rest of the application code.

import { NativeConnection, Worker } from '@temporalio/worker';
import * as activities from './activities';

async function run() {
  // Step 1: Establish a connection with Temporal server.
  //
  // Worker code uses `@temporalio/worker.NativeConnection`.
  // (But in your application code it's `@temporalio/client.Connection`.)
  const connection = await NativeConnection.connect({
    address: '172.18.0.4:7233',
    // TLS and gRPC metadata configuration goes here.
  });
  // Step 2: Register Workflows and Activities with the Worker and specify your
  // namespace and Task Queue.
  const worker = await Worker.create({
    connection,
    namespace: 'backgroundcheck_namespace',
    taskQueue: 'hello-world',
    // Workflows are registered using a path as they run in a separate JS context.
    workflowsPath: require.resolve('./workflows'),
    activities,
  });

  await worker.run();
}

run().catch((err) => {
  console.error(err);
  process.exit(1);
});

Build and deploy Docker image

Add a Docker file to the root of your Background Check application project.

Name the file dockerfile, with no extensions, and add the following configuration:

FROM node:20 as build

WORKDIR /app

COPY package.json /app
COPY package-lock.json /app

RUN npm ci

COPY tsconfig.json /app/
COPY src /app/src

RUN npm run build

# Reinstall without dev dependencies now that the application is built
RUN npm ci --omit dev

FROM gcr.io/distroless/nodejs20-debian11

COPY --from=build /app/node_modules /app/node_modules
COPY --from=build /app/lib /app/lib

CMD ["/app/lib/worker.js"]

Then build the Docker image using the following command:

docker build . -t backgroundcheck-worker-image:latest

Now run the Worker on the same network as the Temporal Cluster containers using the following command:

docker run --network temporal-network backgroundcheck-worker-image:latest

Start Workflow using the CLI

How to start a Workflow using the CLI

You can use the Temporal CLI to start a Workflow whether you are using a local development server, Temporal Cloud, or are in a self-hosted environment. However, you need to provide additional options to the command when operating with the Temporal Cloud or self-hosted environments.

Local dev Server

How to start a Workflow with the Temporal CLI while using the local development server

Use the Temporal CLI temporal workflow start command to start your Workflow.

temporal workflow start \
 --task-queue backgroundcheck-boilerplate-task-queue-local \
 --type backgroundCheck \
 --input '"555-55-5555"' \
 --namespace backgroundcheck_namespace \
 --workflow-id backgroundcheck_workflow

Parameters breakdown

--task-queue: The name of the Task Queue for all the Workflow Execution's Tasks. Unless otherwise specified, Activity Executions use the Workflow Execution's Task Queue name by default.
--type: This is the Workflow Type name. By default, this is the function name.
--input: This must be a valid JSON object that can be unmarshaled into the parameter(s) that the Workflow function accepts. Read more about how the Temporal Platform handles your application data in the Data conversion guide.
--namespace: This is the Namespace that you want to run your Temporal Application in.
--workflow-id: A Workflow Id is a custom identifier provided by you. We highly recommend supplying your own Workflow Id with your own naming convention. A Workflow Id Reuse Policy enables fine controls over whether Workflow Ids can be reused in the Platform within the Retention Period.

For more details, see the temporal workflow start command API reference.

After you start the Workflow, you can see it in the Temporal Platform. Use the Temporal CLI or the Temporal Web UI to monitor the Workflow's progress.

List Workflows

Use the temporal workflow list command to list all of the Workflows in the Namespace:

temporal workflow list \
 --namespace backgroundcheck_namespace

View in Web UI

You can also use the Web UI to see the Workflows associated with the Namespace.

The local development server starts the Web UI at http://localhost:8233.

When you visit for the first time, the Web UI directs you to http://localhost:8233/namespaces/default/workflows.

Use the Namespace dropdown to select the project Namespace you created earlier.

Web UI Namespace selection

You should now be at http://localhost:8233/namespaces/backgroundcheck_namespace/workflows.

Confirm polling Worker

If you ever want to confirm that a Worker is polling on the Task Queue that the Workflow started on, you can visit the Workflow Execution's details page and click on the Task Queue name.

Click on the Task Queue name to view polling Workers

This will direct you to a page where you can view the Workers polling that Task Queue. If there are none, the application won't run.

Confirm Workers polling Task Queue

Temporal Cloud

How to start a Workflow with Temporal CLI when using Temporal Cloud

Run the temporal workflow start command, and make sure to specify the certificate and private key arguments.

temporal workflow start \
 --task-queue backgroundcheck-boilerplate-task-queue-cloud \
 --type backgroundCheck \
 --input '"555-55-5555"' \
 --namespace <namespace>.<account-id> \
 --workflow-id backgroundcheck_workflow \
 --address <namespace>.<account-id>.tmprl.cloud:<port> \
 --tls-cert-path ca.pem \
 --tls-key-path ca.key

Make sure that the certificate path, private key path, Namespace, and address argument values match your project.

Use environment variables

Use environment variables as a way to quickly switch between a local dev server and Temporal Cloud, for example.

You can customize the environment names to be anything you want.

# set Cloud env variables
temporal env set cloud.namespace <namespace>.<account-id>
temporal env set cloud.address <namespace>.<account-id>.tmprl.cloud:<port>
temporal env set cloud.tls-cert-path ca.pem
temporal env set cloud.tls-key-path ca.key
# set local env variables
temporal env set local.namespace <namespace>

In this way, you can provide a single --env command option when using the CLI rather than specifying each connection option in every command.

temporal workflow start \
 # ...
 --env cloud \
 # ...

List Workflows

Run the temporal workflow list command, and make sure to specify the certificate and private key arguments.

temporal workflow list \
 --tls-cert-path ca.pem \
 --tls-key-path ca.key \
 --namespace <namespace>.<account-id> \
 --address <namespace>.<account-id>.tmprl.cloud:<port>

View in Web UI

Visit the Workflows page of your Cloud Namespace. The URL will look something like the following:

https://cloud.temporal.io/namespaces/<namespace>.<account-id>/workflows

View Workflows in the Cloud UI

Self-hosted

How to start a Workflow with the Temporal CLI when using a Self-hosted Cluster

Use your Temporal CLI alias to run the temporal workflow start command and start your Workflow.

temporal_docker workflow start \
 --task-queue backgroundcheck-boilerplate-task-queue-self-hosted \
 --type backgroundCheck \
 --input '"555-55-5555"' \
 --namespace backgroundcheck_namespace \
 --workflow-id backgroundcheck_workflow

List Workflows

Using your Temporal CLI alias, run the temporal workflow list command. This command lists the Workflows Executions within the Namespace:

temporal_docker workflow list \
 --namespace backgroundcheck_namespace

View in the Web UI

When you visit for the first time, the Web UI directs you to http://localhost:8233/namespaces/default/workflows.

Use the Namespace dropdown to select the project Namespace you created earlier.

You should now be at http://localhost:8080/namespaces/backgroundcheck_namespace/workflows.

Add a testing framework

How to add a Testing Framework and Tests for the Workflow and Activity.

Each Temporal SDK has a testing suite that can be used in conjunction with a typical language specific testing framework. In the TypeScript SDK, you'll use the Mocha library to write your tests, and the @temporalio/testing package to access helpers to test Workflows and Activities.

Add Workflow function tests

You can test Workflow code for the following conditions:

Workflow status. For example, did the Workflow reach a completed status?
Error when checking for a result of a Workflow. Is there an error in getting the result returned by the Workflow?
Workflow return value. If the Workflow did return something other than an error, is it what you expected it to be?

Add the following code to src/mocha/backgroundcheck.test.ts to test that the Workflow executes successfully.

View the source code in the context of the rest of the application code.

import { TestWorkflowEnvironment } from '@temporalio/testing';
import { before, describe, it } from 'mocha';
import { Worker } from '@temporalio/worker';
import { backgroundCheck } from '../workflows';
import assert from 'assert';

describe('Background check workflow', () => {
  let testEnv: TestWorkflowEnvironment;

  before(async () => {
    testEnv = await TestWorkflowEnvironment.createLocal();
  });

  after(async () => {
    await testEnv?.teardown();
  });

  it('successfully completes the Workflow', async () => {
    const ssn = '111-22-3333';
    const { client, nativeConnection } = testEnv;
    const taskQueue = 'testing';

    const worker = await Worker.create({
      connection: nativeConnection,
      taskQueue,
      workflowsPath: require.resolve('../workflows'),
      activities: {
        ssnTrace: async () => 'pass',
      },
    });

    const result = await worker.runUntil(
      client.workflow.execute(backgroundCheck, {
        args: [ssn],
        workflowId: 'background-check-test',
        taskQueue,
      })
    );
    assert.equal(result, 'pass');
  });
});

This test uses a local testing server that ships with the Temporal TypeScript SDK. This server becomes the environment that runs the Worker. This example uses the before and after hooks to set up and tear down the test environment.

In the body of the test case, you create an instance of a Worker and register the Workflow and Activities. In this example, the Activity is mocked out and replaced with a function that returns a specific result.. This ensures that the Workflow test doesn't invoke the actual Activity.

Calling client.workflow.execute(...) executes the Workflow logic and any invoked Activities inside the test process. The first parameter of env.ExecuteWorkflow(...) contains a reference to the Workflow function. The second parameter contains an object that specifices the arguments for the Workflow, the Workflow ID, and a Task Queue name.

Add Activity function tests

You can test Activity code for the following conditions:

Error when invoking the Activity Execution.
Error when checking for the result of the Activity Execution.
Activity return values. Check to ensure the return value is expected.

Add the following code to src/mocha/ssntrace.test.ts to test the ssnTrace Activity and ensure it returns the expected value:

View the source code in the context of the rest of the application code.

import { MockActivityEnvironment } from '@temporalio/testing';
import { describe, it } from 'mocha';
import * as activities from '../activities';
import assert from 'assert';

describe('ssnTrace activity', async () => {
  it('successfully passes the ssn trace', async () => {
    const env = new MockActivityEnvironment();
    const ssn = '111-22-3333';
    const result = await env.run(activities.ssnTrace, ssn);
    assert.equal(result, 'pass');
  });
});

Conclusion

In this section, you created a project with TypeScript, created your first Workflow and Activity definitions, configured a Worker, and wrote tests.

You can now do the following things:

Describe the tools available and recommended to develop Workflows.
Describe the code that actually forms a Temporal application.
Implement an appropriate testing framework.

Install the Temporal CLI​

MacOS​

Linux​

Windows​

Choose a development Cluster​

Local dev server​

Start the dev server​

Create a custom Namespace​

Temporal Cloud​

Self-hosted Temporal Cluster​

Boilerplate Temporal Application project code​

Project structure​

Initialize TypeScript project dependency framework​

Boilerplate Workflow code​

Boilerplate Activity code​

Run a dev server Worker​

Run a Temporal Cloud Worker​

Run a Self-hosted Worker​

Confirm network​

Confirm IP address​

Customize Client options​

Build and deploy Docker image​

Start Workflow using the CLI​

Local dev Server​

List Workflows​

View in Web UI​

Confirm polling Worker​

Temporal Cloud​

List Workflows​

View in Web UI​

Self-hosted​

List Workflows​

View in the Web UI​

Add a testing framework​

Add Workflow function tests​

Add Activity function tests​

Conclusion​

Install the Temporal CLI

MacOS

Linux

Windows

Choose a development Cluster

Local dev server

Start the dev server

Create a custom Namespace

Temporal Cloud

Self-hosted Temporal Cluster

Boilerplate Temporal Application project code

Project structure

Initialize TypeScript project dependency framework

Boilerplate Workflow code

Boilerplate Activity code

Run a dev server Worker

Run a Temporal Cloud Worker

Run a Self-hosted Worker

Confirm network

Confirm IP address

Customize Client options

Build and deploy Docker image

Start Workflow using the CLI

Local dev Server

List Workflows

View in Web UI

Confirm polling Worker

Temporal Cloud

List Workflows

View in Web UI

Self-hosted

List Workflows

View in the Web UI

Add a testing framework

Add Workflow function tests

Add Activity function tests

Conclusion