Skip to main content



There can be only one declaration of app type per Wasp project. It serves as a starting point and defines global properties of your app.

app todoApp {  title: "ToDo App",  head: [  // optional    "<link rel=\"stylesheet\" href=\",400,500&display=swap\" />"  ]}


title: string (required)#

Title of your app. It will be displayed in the browser tab, next to the favicon.

head: [string] (optional)#

Head of your HTML Document. Your app's metadata (styles, links, etc) can be added here.

auth: dict (optional)#

Authentication and authorization configuration. Check app.auth for more details.

client: dict (optional)#

Client configuration. Check app.client for more details.

server: dict (optional)#

Server configuration. Check app.server for more details.

db: dict (optional)#

Database configuration. Check app.db for more details.

dependencies: [(string, string)] (optional)#

List of dependencies (external libraries). Check app.dependencies for more details.


page declaration is the top-level layout abstraction. Your app can have multiple pages.

page MainPage {  component: import Main from "@ext/pages/Main",  authRequired: false  // optional}

Normally you will also want to associate page with a route, otherwise it won't be accessible in the app.


component: ExtImport (required)#

Import statement of the React element that implements the page component. See importing external code for details.

authRequired: bool (optional)#

Can be specified only if app.auth is defined.

If set to true, only authenticated users will be able to access this page. Unauthenticated users will be redirected to a route defined by onAuthFailedRedirectTo property within app.auth.

If authRequired is set to true, the React component of a page (specified by component property) will be provided user object as a prop.

Check out this section of our Todo app tutorial for an example of usage.


route declaration provides top-level routing functionality in Wasp.

route AboutRoute { path: "/about", to: AboutPage }


path: string (required)#

URL path of the route. Route path can be parametrised and follows the same conventions as React Router.

to: page (required)#

Name of the page to which the path will lead. Referenced page must be defined somewhere in .wasp file.

Example - parametrised URL path#

route TaskRoute { path: "/task/:id", to: TaskPage }

For details on URL path format check React Router documentation.

Accessing route parameters in a page component#

Since Wasp under the hood generates code with React Router, the same rules apply when accessing URL params in your React components. Here is an example just to get you started:

// ...route TaskRoute { path: "/task/:id", to: TaskPage }page TaskPage {  component: import Task from "@ext/pages/Task"}
import React from 'react'
const Task = (props) => {  return (    <div>      I am showing a task with id: {}.    </div>  )}
export default Task

Navigating between routes#

Navigation can be performed from the React code via <Link/> component, also using the functionality of React Router:

// ...route HomeRoute { path: "/home", to: HomePage }page HomePage {  component: import Home from "@ext/pages/Home"}
import React from 'react'import { Link } from "react-router-dom"
const OtherPage = (props) => {  return (    <Link to="/home">Go to homepage</Link>  )}


entity declaration represents a database model. Wasp uses Prisma to implement database functionality and currently provides only a thin layer above it.

Each Entity declaration corresponds 1-to-1 to Prisma data model and is defined in a following way:

entity Task {=psl    id          Int     @id @default(autoincrement())    description String    isDone      Boolean @default(false)psl=}

{=psl ... psl=}: PSL#

Definition of entity fields in Prisma Schema Language (PSL). See here for intro and examples and here for a more exhaustive language specification.

Using Entities#

Entity-system in Wasp is based on Prisma, and currently Wasp provides only a thin layer on top of it. The workflow is as follows:

  1. Wasp developer creates/updates some of the entities in .wasp file.
  2. Wasp developer runs wasp db migrate-dev.
  3. Migration data is generated in migrations/ folder (and should be commited).
  4. Wasp developer uses Prisma JS API to work with the database when in Operations.

Currently entities can be accessed only in Operations (Queries & Actions), so check their part of docs for more info on how to use entities in their context.

Queries and Actions (aka Operations)#

In Wasp, the client and the server interact with each other through Operations. Wasp currently supports two kinds of Operations: Queries and Actions.


Queries are used to fetch data from the server. They do not modify the server's state.

Queries are implemented in NodeJS and executed within the server's context. Wasp generates the code that lets you call the Query from anywhere in your code (client or server) using the same interface. In other words, you won't have to worry about building an HTTP API for the Query, handling the request on the server, or even handling and caching the responses on the client. Instead, simply focus on the business logic inside your Query and let Wasp take care of the rest!

To create a Wasp Query, you must:

  1. Define the Query's NodeJS implementation
  2. Declare the Query in Wasp using the query declaration

After completing these two steps, you'll be able to use the Query from any point in your code.

Defining the Query's NodeJS implementation#

A Query must be implemented as an async NodeJS function that takes two arguments. Since both arguments are positional, you can name the parameters however you want, but we'll stick with args and context:

  1. args: An object containing all the arguments (i.e., payload) passed to the Query by the caller (e.g., filtering conditions). Take a look at the examples of usage to see how to pass this object to the Query.
  2. context: An additional context object injected into the Query by Wasp. This object contains user session information, as well as information about entities. The examples here won't use the context for simplicity purposes. You can read more about it in the section about using entities in queries.

Here's an example of two simple Queries:

// our "database"const tasks = [  { id: 1, description: "Buy some eggs", isDone: true },  { id: 2, description: "Make an omelette", isDone: false },  { id: 3, description: "Eat breakfast", isDone: false }]

// You don't need to use the arguments if you don't need themexport const getAllTasks = async () => {  return tasks;}
// The 'args' object is something sent by the caller (most often from the client)export const getFilteredTasks = async (args) => {  const { isDone } = args;  return tasks.filter(task => task.isDone === isDone)}

Declaring a Query in Wasp#

After implementing your Queries in NodeJS, all that's left to do before using them is tell Wasp about it! You can easily do this with the query declaration, which supports the following fields:

  • fn: ExtImport (required) - The import statement of the Query's NodeJs implementation.
  • entities: [Entity] (optional) - A list of entities you wish to use inside your Query. We'll leave this option aside for now. You can read more about it here.

Wasp Queries and their implementations don't need to (but can) have the same name, so we will keep the names different to avoid confusion. With that in mind, this is how you might declare the Queries that use the implementations from the previous step:

// ...
// Again, it most likely makes sense to name the Wasp Query after// its implementation. We're changing the name to emphasize the difference.
query fetchAllTasks {  fn: import { getAllTasks } from "@ext/queries.js"}
query fetchFilteredTasks {  fn: import { getFilteredTasks } from "@ext/queries.js"}

After declaring a NodeJS function as a Wasp Query, two crucial things happen:

  • Wasp generates a client-side JavaScript function that shares its name with the Query (e.g., fetchFilteredTasks). This function takes a single optional argument - an object containing any serializable data you wish to use inside the Query. Wasp will pass this object to the Query's implementation as its first positional argument (i.e., args from the previous step). Such an abstraction works thanks to an HTTP API route handler Wasp generates on the server, which calls the Query's NodeJS implementation under the hood.
  • Wasp generates a server-side NodeJS function that shares its name with the Query. This function's interface is identical to the client-side function from the previous point.

Generating two such functions ensures a uniform calling interface across the entire app (both client and server).

Using the Query#

To use the Query, you can import it from @wasp and call it directly. As mentioned, the usage is the same regardless of whether you're on the server or the client:

import fetchAllTasks from '@wasp/queries/fetchAllTasks.js'import fetchFilteredTasks from '@wasp/queries/fetchFilteredTasks.js'
// ...
const allTasks = await fetchAllTasks();const doneTasks = await fetchFilteredTasks({isDone: true})

NOTE: Wasp will not stop you from importing a Query's NodeJS implementation from ./queries.js and calling it directly. However, we advise against this, as you'll lose all the useful features a Wasp Query provides (e.g., entity injection).

The useQuery hook#

When using Queries on the client, you can make them reactive with the help of the useQuery hook. This hook comes bundled with Wasp and is a thin wrapper around the useQuery hook from react-query.

Wasp's useQuery hook accepts three arguments:

  • queryFn (required): A Wasp query declared in the previous step or, in other words, the client-side query function generated by Wasp based on a query declaration.
  • queryFnArgs (optional): The arguments object (payload) you wish to pass into the Query. The Query's NodeJS implementation will receive this object as its first positional argument.
  • options (optional): A react-query options object. Use this to change the default behaviour for this particular query. If you want to change the global defaults, you can do so in the client setup function.

Wasp's useQuery hook behaves mostly the same as react-query's useQuery hook, the only difference being in not having to supply the key (Wasp does this automatically under the hood).

Here's an example of calling the Queries using the useQuery hook:

import React from 'react'import { useQuery } from '@wasp/queries'
import fetchAllTasks from '@wasp/queries/fetchAllTasks'import fetchFilteredTasks from '@wasp/queries/fetchFilteredTasks'

const MainPage = () => {  const {    data: allTasks,    error: error1  } = useQuery(fetchAllTasks)
  const {    data: doneTasks,    error: error2  } = useQuery(fetchFilteredTasks, { isDone: true })
  return (    <div>        <p>All tasks: { JSON.stringify(allTasks || error1) }</p>        <p>Finished tasks: { JSON.stringify(doneTasks || error2) }</p>    </div>  )}
export default MainPage

Error Handling#

For security reasons, all exceptions thrown in the Query's NodeJS implementation are sent to the client as responses with the HTTP status code 500, with all other details removed. Hiding error details by default helps against accidentally leaking possibly sensitive information over the network.

If you do want to pass additional error information to the client, you can construct and throw an appropriate HttpError in your NodeJS Query function:

import HttpError from '@wasp/core/HttpError.js'
export const getTasks = async (args, context) => {  const statusCode = 403  const message = 'You can\'t do this!'  const data = { foo: 'bar' }  throw new HttpError(statusCode, message, data)}

If the status code is 4xx, the client will receive a response object with the corresponding .message and .data fields and rethrow the error (with these fields included). To prevent information leakage, the server won't forward these fields for any other HTTP status codes.

Using Entities in Queries#

In most cases, resources used in Queries will be Entities. To use an Entity in your Query, add it to the query declaration in Wasp:


query fetchAllTasks {  fn: import { getAllTasks } from "@ext/queries.js",  entities: [Task]}
query fetchFilteredTasks {  fn: import { getFilteredTasks } from "@ext/queries.js",  entities: [Task]}

Wasp will inject the specified Entity into the Query's context argument, giving you access to the Entity's Prisma API:

// ...
export const getAllTasks = async (args, context) => {  return context.entities.Task.findMany({})}
export const getFilteredTasks = async (args, context) => {  return context.entities.Task.findMany({    where: { isDone: args.isDone }  })}

The object context.entities.Task exposes prisma.task from Prisma's CRUD API.


Actions are very similar to Queries. So similar, in fact, we will only list the differences:

  1. They can (and most often should) modify the server's state, while Queries are only allowed to read it.
  2. Since Actions don't need to be reactive, Wasp doesn't provide a React hook for them (like useQuery for Queries) - you just call them directly.
  3. action declarations in Wasp are mostly identical to query declarations. The only difference is in the declaration's name.

Here's an implementation of a simple Action:

export const sayHi = async () => {  console.log('The client said Hi!')}

Its corresponding declaration in Wasp:

// ...
action sayHi {  fn: import { sayHi } from "@ext/actions.js"}

And an example of how to import and call the declared Action:

import sayHi from '@wasp/actions/sayHi'
// ...

More differences and Action/Query specific features will come in future versions of Wasp.

Cache Invalidation#

One of the trickiest parts of managing a web app's state is making sure the data returned by the queries is up to date. Since Wasp uses react-query for Query management, we must make sure to invalidate Queries (more specifically, their cached results managed by react-query) whenever they become stale.

It's possible to invalidate the caches manually through several mechanisms react-query provides (e.g., refetch, direct invalidation). However, since manual cache invalidation quickly becomes complex and error-prone, Wasp offers a quicker and a more effective solution to get you started: automatic Entity-based Query cache invalidation. Because Actions can (and most often do) modify the state while Queries read it, Wasp invalidates a Query's cache whenever an Action that uses the same Entity is executed.

For example, let's assume that Action createTask and Query getTasks both use Entity Task. If createTask is executed, getTasks's cached result may no longer be up-to-date. Wasp will therefore invalidate it, making getTasks refetch data from the server, bringing it up to date again.

In practice, this means that Wasp keeps the queries "fresh" without requiring you to think about cache invalidation.

On the other hand, this kind of automatic cache invalidation can become wasteful (some updates might not be necessary) and will only work for Entities. If that's an issue, you can use the mechanisms provided by react-query for now, and expect more direct support in Wasp for handling those use cases in a nice, elegant way.

Prisma Error Helpers#

In your Operations, you may wish to handle general Prisma errors with HTTP-friendly responses. We have exposed two helper functions, isPrismaError, and prismaErrorToHttpError, for this purpose. As of now, we convert two specific Prisma errors (which we will continue to expand), with the rest being 500. See the source here.

import statement:#

import { isPrismaError, prismaErrorToHttpError } from '@wasp/utils.js'
Example of usage:#
  try {    await context.entities.Task.create({...})  } catch (e) {    if (isPrismaError(e)) {      throw prismaErrorToHttpError(e)    } else {      throw e    }  }


If you have server tasks that you do not want to handle as part of the normal request-response cycle, Wasp allows you to make that function a job and it will gain some "superpowers." Jobs will persist between server restarts, can be retried if they fail, and they can even be delayed until the future (or have a recurring schedule)! Some examples where you may want to use a job on the server include sending an email, making an HTTP request to some external API, or doing some nightly calculations.

Job Executors#

Job executors handle the scheduling, monitoring, and execution of our jobs.

Wasp allows you to choose which job executor will be used to execute a specific job that you define, which affects some of the finer details of how jobs will behave and how they can be further configured. Each job executor has its pros and cons, which we will explain in more detail below, so you can pick the one that best suits your needs.

Currently, Wasp supports only one type of job executor, which is PgBoss, but in the future, it will likely support more.


We have selected pg-boss as our first job executor to handle the low-volume, basic job queue workloads many web applications have. By using PostgreSQL (and SKIP LOCKED) as its storage and synchronization mechanism, it allows us to provide many job queue pros without any additional infrastructure or complex management.

Keep in mind that pg-boss jobs run alongside your other server-side code, so they are not appropriate for CPU-heavy workloads. Additionally, some care is required if you modify scheduled jobs. Please see pg-boss details for more information.

pg-boss details

pg-boss provides many useful features, which can be found here.

When you add pg-boss to a Wasp project, it will automatically add a new schema to your database called pgboss with some internal tracking tables, including job and schedule. pg-boss tables have a name column in most tables that will correspond to your job identifier. Additionally, these tables maintain arguments, states, return values, retry information, start and expiration times, and other metadata required by pg-boss.

If you need to customize the creation of the pg-boss instance, you can set an environment variable called PG_BOSS_NEW_OPTIONS to a stringified JSON object containing these initialization parameters. NOTE: Setting this overwrites all Wasp defaults, so you must include database connection information as well.

pg-boss considerations#
  • Wasp starts pg-boss alongside your web server's application, where both are simultaneously operational. This means that jobs running via pg-boss and the rest of the server logic (like Operations) share the CPU, therefore you should avoid running CPU-intensive tasks via jobs.
    • Wasp does not (yet) support independent, horizontal scaling of pg-boss-only applications, nor starting them as separate workers/processes/threads.
  • The job name/identifier in your .wasp file is the same name that will be used in the name column of pg-boss tables. If you change a name that had a schedule associated with it, pg-boss will continue scheduling those jobs but they will have no handlers associated, and will thus become stale and expire. To resolve this, you can remove the applicable row from the schedule table in the pgboss schema of your database.
    • If you remove a schedule from a job, you will need to do the above as well.
  • If you wish to deploy to Heroku, you need to set an additional environment variable called PG_BOSS_NEW_OPTIONS to {"connectionString":"<REGULAR_HEROKU_DATABASE_URL>","ssl":{"rejectUnauthorized":false}}. This is because pg-boss uses the pg extension, which does not seem to connect to Heroku over SSL by default, which Heroku requires. Additionally, Heroku uses a self-signed cert, so we must handle that as well.

Basic job definition and usage#

To declare a job in Wasp, simply add a declaration with a reference to an async function, like the following:

job mySpecialJob {  executor: PgBoss,  perform: {    fn: import { foo } from "@ext/jobs/bar.js"  }}

Then, in your Operations or setupFn (or any other NodeJS code), you can submit work to be done:

import { mySpecialJob } from '@wasp/jobs/mySpecialJob.js'
const submittedJob = await mySpecialJob.submit({ job: "args" })console.log(await submittedJob.pgBoss.details())
// Or, if you'd prefer it to execute in the future, just add a .delay().// It takes a number of seconds, Date, or ISO date string.await mySpecialJob.delay(10).submit({ job: "args" })

And that is it! Your job will be executed by the job executor (pg-boss, in this case) as if you called foo({ data: { job: "args" } }).

Note: pg-boss wraps job arguments into a larger object and exposes it under the property data.

Recurring jobs#

If you have work that needs to be done on some recurring basis, you can add a schedule to your job declaration:

job mySpecialJob {  executor: PgBoss,  perform: {    fn: import { foo } from "@ext/jobs/bar.js"  },  schedule: {    cron: "0 * * * *",    args: {=json { "job": "args" } json=} // optional  }}

In this example, you do not need to invoke anything in JavaScript. You can imagine foo({ data: { "job": "args" } }) getting automatically scheduled and invoked for you every hour.

Note: pg-boss wraps job arguments into a larger object and exposes it under the property data.

Fully specified example#

Additionally, both perform and schedule accept executorOptions, which we pass directly to the named job executor when you submit jobs. In this example, the scheduled job will have a retryLimit set to 0, as schedule overrides any similar property from perform.

job mySpecialJob {  executor: PgBoss,  perform: {    fn: import { foo } from "@ext/jobs/bar.js",    executorOptions: {      pgBoss: {=json { "retryLimit": 1 } json=}    }  },  schedule: {    cron: "*/5 * * * *",    args: {=json { "foo": "bar" } json=},    executorOptions: {      pgBoss: {=json { "retryLimit": 0 } json=}    }  }}


executor: JobExecutor (required)#

PgBoss is currently our only job executor, and is recommended for low-volume production use cases. It requires your app.db.system to be PostgreSQL.

perform: dict (required)#

  • fn: fn (required)#

    An async JavaScript function of work to be performed. It can optionally take a JSON value as an argument.

  • executorOptions: dict (optional)#

    Executor-specific default options to use when submitting jobs. These are passed directly through and you should consult the documentation for the job executor. These can be overridden during invocation with submit() or in a schedule.

    • pgBoss: JSON (optional)#
      See the docs for pg-boss.

schedule: dict (optional)#

  • cron: string (required)#

    A 5-placeholder format cron expression string. See rationale for minute-level precision here.

  • args: JSON (optional)#

    The arguments to pass to the perform.fn function when invoked.

    Note: pg-boss wraps job arguments into a larger object and exposes it under the property data.

  • executorOptions: dict (optional)#

    Executor-specific options to use when submitting jobs. These are passed directly through and you should consult the documentation for the job executor. The perform.executorOptions are the default options, and schedule.executorOptions can override/extend those.

    • pgBoss: JSON (optional)#
      See the docs for pg-boss.

JavaScript API#


import { mySpecialJob } from '@wasp/jobs/mySpecialJob.js'
submit(jobArgs, executorOptions)#
  • jobArgs: JSON (optional)#
  • executorOptions: JSON (optional)#

Submits a job to be executed by an executor, optionally passing in a JSON job argument your job handler function will receive, and executor-specific submit options.

Note: pg-boss wraps job arguments into a larger object and exposes it under the property data.

const submittedJob = await mySpecialJob.submit({ job: "args" })
delay(startAfter) (optional)#
  • startAfter: int | string | Date (required)#

Delaying the invocation of the job handler. The delay can be one of:

  • Integer: number of seconds to delay. [Default 0]
  • String: ISO date string to run at.
  • Date: Date to run at.
const submittedJob = await mySpecialJob.delay(10).submit({ job: "args" }, { "retryLimit": 2 })


The return value of submit() is an instance of SubmittedJob, which minimally contains:

  • jobId: A getter returning the UUID String ID for the job in that executor.
  • jobName: A getter returning the name of the job you used in your .wasp file.
  • executorName: A getter returning a Symbol of the name of the job executor.
    • For pg-boss, you can import a Symbol from: import { PG_BOSS_EXECUTOR_NAME } from '@wasp/jobs/core/pgBoss/pgBossJob.js' if you wish to compare against executorName.

There will also be namespaced, job executor-specific objects.

  • For pg-boss, you may access: pgBoss
    • NOTE: no arguments are necessary, as we already applied the jobId in the available functions.
    • details(): pg-boss specific job detail information. Reference
    • cancel(): attempts to cancel a job. Reference
    • resume(): attempts to resume a canceled job. Reference


You can specify additional npm dependencies via dependencies field in app declaration, in following way:

app MyApp {  title: "My app",  // ...  dependencies: [    ("redux", "^4.0.5"),    ("react-redux", "^7.1.3")  ])

You will need to re-run wasp start after adding a dependency for Wasp to pick it up.

NOTE: In current implementation of Wasp, if Wasp is already internally using certain npm dependency with certain version specified, you are not allowed to define that same npm dependency yourself while specifying different version. If you do that, you will get an error message telling you which exact version you have to use for that dependency. This means Wasp dictates exact versions of certain packages, so for example you can't choose version of React you want to use. In the future, we will add support for picking any version you like, but we have not implemented that yet. Check issue #59 to check out the progress or contribute.

Authentication & Authorization#

Wasp provides authentication and authorization support out-of-the-box. Enabling it for your app is optional and can be done by configuring auth field of the app declaration:

app MyApp {  title: "My app",  // ...  auth: {    userEntity: User,    methods: [ EmailAndPassword ],    onAuthFailedRedirectTo: "/someRoute"  }}

app.auth is a dictionary with following fields:

userEntity: entity (required)#

Entity which represents the user (sometimes also referred to as Principal).

methods: [AuthMethod] (required)#

List of authentication methods that Wasp app supports. Currently supported methods are:

  • EmailAndPassword: Provides support for authentication with email address and a password.

onAuthFailedRedirectTo: String (required)#

Path where an unauthenticated user will be redirected to if they try to access a private page (which is declared by setting authRequired: true for a specific page). Check out this section of our Todo app tutorial to see an example of usage.

onAuthSucceededRedirectTo: String (optional)#

Path where a successfully authenticated user will be sent upon successful login/signup. Default value is "/".

Email and Password#

EmailAndPassword authentication method makes it possible to signup/login into the app by using email address and a password. This method requires that userEntity specified in auth contains email: string and password: string fields.

We provide basic validations out of the box, which you can customize as shown below. Default validations are:

  • email: non-empty
  • password: non-empty, at least 8 characters, and contains a number

High-level API#

The quickest way to get started is by using the following API generated by Wasp:

  • Signup and Login forms at @wasp/auth/forms/Signup and @wasp/auth/forms/Login routes
  • logout function
  • useAuth() React hook

Check our Todo app tutorial to see how it works. See below for detailed specification of each of these methods.

Lower-level API#

If you require more control in your authentication flow, you can achieve that in the following ways:

  • If you don't want to use already generated Signup and Login forms and want to create your own, you can use signup and login function by invoking them from the client.
  • If you want to execute custom code on the server during sign up, create your own sign up action which invokes Prisma client as context.entities.[USER_ENTITY].create() function, along with your custom code.

The code of your custom sign-up action would look like this (your user entity being User in this instance):

export const signUp = async (args, context) => {    // Your custom code before sign-up.    // ...    const newUser = context.entities.User.create({        data: { email: '', password: 'this will be hashed!' }    })
    // Your custom code after sign-up.    // ...    return newUser}

You don't need to worry about hashing the password yourself! Even when you are using Prisma's client directly and calling create() with a plain-text password, Wasp put middleware in place that takes care of hashing it before storing it to the database. An additional middleware also performs field validation.

Customizing user entity validations#

To disable/enable default validations, or add your own, you can do:

const newUser = context.entities.User.create({  data: { email: '', password: 'this will be hashed!' },  _waspSkipDefaultValidations: false, // can be omitted if false (default), or explicitly set to true  _waspCustomValidations: [    {      validates: 'password',      message: 'password must contain an uppercase letter',      validator: password => /[A-Z]/.test(password)    },  ]})

Validations always run on create(), but only when the field mentioned in validates is present for update(). The validation process stops on the first validator to return false. If enabled, default validations run first and validate basic properties of both the 'email' or 'password' fields.



An action for logging in the user.

login(email, password)

email: string#

Email of the user logging in.

password: string#

Password of the user logging in.

import statement:#

import login from '@wasp/auth/login.js'

Login is a regular action and can be used directly from the frontend.


An action for signing in in the user.


userFields: object#

Fields of user entity which was declared in auth.

import statement:#

import signup from '@wasp/auth/signup.js'

Signup is a regular action and can be used directly from the frontend.


An action for logging out the user.


import statement:#

import logout from '@wasp/auth/logout.js'
Example of usage:#
import logout from '@wasp/auth/logout.js'
const SignOut = () => {  return (    <button onClick={logout}>Logout</button>  )}

Reset password#

Coming soon.

Updating user's password#

If you need to update user's password, you can do it safely via Prisma client, e.g. within an action:

export const updatePassword = async (args, context) => {  return context.entities.User.update({    where: { id: args.userId },    data: {      password: 'New pwd which will be hashed automatically!'    }  })}

You don't need to worry about hashing the password yourself - if you have an auth declaration in your .wasp file, Wasp already set a middleware on Prisma that makes sure whenever password is created or updated on the user entity, it is also hashed before it is stored to the database.

Accessing currently logged in user#

When authentication is enabled in a Wasp app, we need a way to tell whether a user is logged in and access its data. With that, we can further implement access control and decide which content is private and which public.

On client#

On client, Wasp provides useAuth React hook to be used within the functional components. useAuth is actually a thin wrapper over Wasp's useQuery hook and returns data in the exactly same format.


import statement:#

import useAuth from '@wasp/auth/useAuth.js'
Example of usage:#
import React from 'react'
import { Link } from 'react-router-dom'import useAuth from '@wasp/auth/useAuth.js'import logout from '@wasp/auth/logout.js'import Todo from '../Todo.js'import '../Main.css'
const Main = () => {  const { data: user } = useAuth()
  if (!user) {    return (      <span>        Please <Link to='/login'>login</Link> or <Link to='/signup'>sign up</Link>.      </span>    )  } else {    return (      <>        <button onClick={logout}>Logout</button>        <Todo />      < />    )  }}
export default Main

On server#

When authentication is enabled, all the operations (actions and queries) will have user object present in the context argument. context.user will contain all the fields from the user entity except for the password.

Example of usage:#
import HttpError from '@wasp/core/HttpError.js'
export const createTask = async (task, context) => {  if (!context.user) {    throw new HttpError(403)  }
  const Task = context.entities.Task  return Task.create({    data: {      description: task.description,      user: {        connect: { id: }      }    }  })}

In order to implement access control, each operation is responsible for checking context.user and acting accordingly - e.g. if context.user is undefined and the operation is private then user should be denied access to it.

Validation Error Handling#

When creating, updating, or deleting entities, you may wish to handle validation errors. We have exposed a class called AuthError for this purpose. This could also be combined with Prisma Error Helpers.

import statement:#

import AuthError from '@wasp/core/AuthError.js'
Example of usage:#
  try {    await context.entities.User.update(...)  } catch (e) {    if (e instanceof AuthError) {      throw new HttpError(422, 'Validation failed', { message: e.message })    } else {      throw e    }  }

Client configuration#

You can configure the client using the client field inside the app declaration,

app MyApp {  title: "My app",  // ...  client: {    setupFn: import mySetupFunction from "@ext/myClientSetupCode.js"  }}

app.client is a dictionary with the following fields:

setupFn: ExtImport (optional)#

setupFn declares a JavaScript function that Wasp executes on the client before everything else. It is expected to be asynchronous, and Wasp will await its completion before rendering the page. The function takes no arguments, and its return value is ignored.

You can use this function to perform any custom setup (e.g., setting up client-side periodic jobs).

Here's a dummy example of such a function:

export default async function mySetupFunction() {  let count = 1;  setInterval(    () => console.log(`You have been online for ${count++} hours.`),    1000 * 60 * 60,  )}
Overriding default behaviour for Queries#

As mentioned, our useQuery hook uses react-query's hook of the same name. Since react-query comes configured with aggressive but sane default options, you most likely won't have to change those defaults for all Queries (you can change them for a single Query using the options object, as described here).

Still, if you do need the global defaults, you can do so inside client setup function. Wasp exposes a configureQueryClient hook that lets you configure react-query's QueryClient object:

import { configureQueryClient } from '@wasp/queries'
export default async function mySetupFunction() {  // ... some setup  configureQueryClient({    defaultOptions: {      queries: {        staleTime: Infinity,      }    }  })  // ... some more setup}

Make sure to pass in an object expected by the QueryClient's construcor, as explained in react-query's docs.

Server configuration#

Via server field of app declaration, you can configure behaviour of the Node.js server (one that is executing wasp operations).

app MyApp {  title: "My app",  // ...  server: {    setupFn: import mySetupFunction from "@ext/myServerSetupCode.js"  }}

app.server is a dictionary with following fields:

setupFn: ExtImport (optional)#

setupFn declares a JS function that will be executed on server start. This function is expected to be async and will be awaited before server continues with its setup and starts serving any requests.

It gives you an opportunity to do any custom setup, e.g. setting up additional database or starting cron/scheduled jobs.

The javascript function should be async, takes no arguments and its return value is ignored.

In case you want to store some values for later use, or to be accessed by the Operations, recommended way is to store those in variables in the same module/file where you defined the javascript setup function and then expose additional functions for reading those values, which you can then import directly from Operations and use. This effectively turns your module into a singleton whose construction is performed on server start.

Dummy example of such function and its usage:

let someResource = undefined
const mySetupFunction = async () => {  // Let's pretend functions setUpSomeResource and startSomeCronJob  // are implemented below or imported from another file.  someResource = await setUpSomeResource()  startSomeCronJob()}
export const getSomeResource = () => someResource
export default mySetupFunction
import { getSomeResource } from './myServerSetupCode.js'
export const someQuery = async (args, context) => {  const someResource = getSomeResource()  return queryDataFromSomeResource(args, someResource)}


Your project will likely be using environment variables for configuration, typically to define connection to the database, API keys for external services and similar.

When in production, you will typically define environment variables through mechanisms provided by your hosting provider.

However, when in development, you might also need to supply certain environment variables, and to avoid doing it "manually", Wasp supports .env (dotenv) file where you can define environment variables that will be used during development (they will not be used during production).

.env file has to be defined in the root of your Wasp project.

.env file should not be commited to the version control - we already ignore it by default in the .gitignore file we generate when you create a new Wasp project via wasp new cli command.

Variables are defined in .env in the form of NAME=VALUE, for example:


Any env vars defined in the .env will be forwarded to the server-side of your Wasp project and therefore accessible in your nodejs code via process.env, for example:


Database configuration#

Via db field of app declaration, you can configure the database used by Wasp.

app MyApp {  title: "My app",  // ...  db: {    system: PostgreSQL  }}

app.db is a dictionary with following fields:

system: DbSystem#

Database system that Wasp will use. It can be either PostgreSQL or SQLite. If not defined, or even if whole db field is not present, default value is SQLite. If you add/remove/modify db field, run wasp db migrate-dev to apply the changes.


Default database is SQLite, since it is great for getting started with a new project (needs no configuring), but it can be used only in development - once you want to deploy Wasp to production you will need to switch to PostgreSQL and stick with it. Check below for more details on how to migrate from SQLite to PostgreSQL.


When using PostgreSQL as your database (app: { db: { system: PostgreSQL } }), you will need to spin up a postgres database on your own so it runs during development (when running wasp start or doing wasp db ... commands) and you will need to provide Wasp with DATABASE_URL environment variable that Wasp will use to connect to it.

One of the easiest ways to run a PostgreSQL database on your own is by spinning up postgres docker container when you need it with the following shell command:

docker run \  --rm \  --publish 5432:5432 \  -v my-app-data:/var/lib/postgresql/data \  --env POSTGRES_PASSWORD=devpass1234 \  postgres

The password you provide via POSTGRES_PASSWORD is relevant only for the first time when you run that docker command, when database is set up for the first time. Consequent runs will ignore the value of POSTGRES_PASSWORD and will just use the password that was initially set. This is just how postgres docker works.

The easiest way to provide the needed DATABASE_URL environment variable is by adding the following line to the .env file in the root dir of your Wasp project (if that file doesn't yet exist, create it):


Migrating from SQLite to PostgreSQL#

To run Wasp app in production, you will need to switch from SQLite to PostgreSQL.

  1. Set app.db.system to PostgreSQL and set DATABASE_URL env var accordingly (as described above).
  2. Delete old migrations, since they are SQLite migrations and can't be used with PostgreSQL: rm -r migrations/.
  3. Run wasp db migrate-dev to apply new changes and create new, initial migration. You will need to have your postgres database running while doing this (check above for easy way to get it running).