Building CRUD APIs can be a tedious chore. The time spent writing glue code, plumbing layers together and doing repetitive work is often better invested into tasks that actually add value and solve interesting problems.
In this article, you'll explore how you can prototype an e-commerce GraphQL CRUD API using TypeGraphQL, Apollo Server and Prisma for database access. SQLite will be the database of choice in this tutorial because of its ease of setup. Feel free to use your choice database - Prisma currently supports PostgreSQL, MySQL, SQL Server, SQLite, MongoDB, and CockroachDB.
The complete example used in this tutorial is available on GitHub.
What is TypeGraphQL?
TypeGraphQL is a framework that follows a code-first and object-oriented approach towards building GraphQL APIs. It leverages TypeScript by using classes and decorators.
Note: If you're not familiar with TypeScript yet, check out Learn TypeScript: A Pocketguide Tutorial.
What is Prisma?
Prisma is an ORM - Object-relational mapper. It provides a declarative way to define your database models that are easy to read and understand. It also offers a type-safe database client from your database schema that is intuitive and fun. π
Prerequisites
Before getting started, ensure you have the following:
- Installed Node.js.
- Basic understanding of JavaScript/TypeScript.
- Familiarity with GraphQL APIs.
Note: To get started on learning the basics of GraphQL, How To GraphQL will give you a great foundation.
Step 1: Initialize Your Project
The first step will be creating your working directory on your computer and initialize it by running npm init -y
. This command will generate a package.json
file with prepopulated values.
mkdir crud-api
cd crud-api
npm init -y
Set Up Dependencies
Install the following dependencies in your project:
npm install apollo-server type-graphql reflect-metadata class-validator
reflect-metadata allows you to do runtime reflection on types.
class-validator is a dependency used by TypeGraphQL to validate inputs and arguments using decorators.
Your project will be dependent on the following development dependencies:
npm install --save-dev typescript ts-node-dev ts-node @types/node @types/ws
The typescript
and ts-node-dev
dependencies are required to transpile your TypeScript files and restart the app server when a change is made to a file.
A Little More π§
Create a tsconfig.json
file in your project:
touch tsconfig.json
tsconfig.json
allows you to define options that will let the TypeScript compiler take advantage of when transpiling your code to JavaScript.
Paste in the following code to your tsconfig.json
file:
// tsconfig.json
{
"compilerOptions": {
"target": "es2018",
"module": "commonjs",
"lib": [
"es2018",
"esnext.asynciterable"
],
"experimentalDecorators": true,
"emitDecoratorMetadata": true
}
}
To take advantage of ts-node-dev
's live reloading, modify scripts
in your package.json
to this script:
// package.json
"scripts": {
"dev": "ts-node-dev --no-notify --respawn --transpile-only src/index.ts"
},
Next, create your src
directory - this will house the bulk of your application - and create an index.ts
file as well:
mkdir src
touch src/index.ts
The following code will be your initial setup of your GraphQL server:
// index.ts
import 'reflect-metadata'
import * as tq from 'type-graphql'
import { ApolloServer } from 'apollo-server'
const app = async () => {
const schema = await tq.buildSchema({})
new ApolloServer({ schema }).listen({ port: 4000 }, () =>
console.log('π Server ready at: <http://localhost:4000>')
)
}
app()
VS Code's TypeScript compiler will throw an error about the buildSchema missing the resolver argument. Not to worry, this will be covered in Step 3: Set up typegraphql-prisma. π
Step 2: Set Up Prisma
Now that that's out of the way let's get to the fun part, data modeling.
Initialize Prisma
You'll need to setup Prisma in your project by running the following command:
npx prisma init
The Prisma CLI creates a .env
file in your project's root and a new prisma
directory. The folder created will contain a schema.prisma
file that defines your database connection, the Prisma Client generator and this is where you will define your database models.
The default database source is PostgreSQL. However, you can switch this to your preferred provider - sqlite
, mysql
, sqlserver
, cockroachdb
or mongodb
- and modify the url
pointing to your database. For ease of setup, this tutorial will use SQLite.
Navigate to schema.prisma
file and change the datasource provider and datasource url string values to the following:
// schema.prisma
generator client {
provider = "prisma-client-js"
}
// change the code below π
datasource db {
provider = "sqlite"
url = "file:./dev.db"
}
In your Then modify the datasource url to point to Alternative database connection string setup
.env
file, add this line:
#.env file
DATABASE_URL="file:./dev.db"
DATABASE_URL
variable in your .env
file.
// schema.prisma
generator client {
provider = "prisma-client-js"
}
datasource db {
provider = "sqlite"
url = env("DATABASE_URL")
}
The database doesnβt currently exist. Prisma will create the database in prisma/dev.db
when running your first migration.
Database Models
For the e-commerce API, you will define 4 models: Product
, Category
, Order
, and User
. The relationships between these entities will be as follows:
- one-to-many relationship between
User
andOrder
. - many-to-many relationship between
Product
andCategory
. - many-to-many relationship between
Order
andProduct
.
Here is a visual diagram representing the relationships between the different database models:
Your Prisma Schema
With the relationships defined, your final database models should be similar to the one below:
// schema.prisma
generator client {
provider = "prisma-client-js"
}
datasource db {
provider = "sqlite"
url = "file:./dev.db"
}
model Product {
id String @id @default(uuid())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
name String
sku String @unique
description String?
quantity Int
categories Category[]
orders Order[]
}
model Category {
id Int @id @default(autoincrement())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
name String
products Product[]
}
model Order {
id String @id @default(uuid())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
userId Int?
customer User? @relation(fields: [userId], references: [id])
products Product[]
}
model User {
id Int @id @default(autoincrement())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
email String @unique
firstName String?
lastName String?
address String?
orders Order[]
}
Feel free to modify the fields provided to your preference.
Your First Migration
Next, you'll sync your schema with your database with the following command:
npx prisma migrate dev --name init
The above command creates a database migration and executes it against your database. A database migration refers to incremental, reversible changes that are made to a database schema over time. In that sense, you can think of migrations as a tool enabling "version control" for your database.
The command creates a migration called init
. Once the migration is complete, a new /prisma/migrations
directory is created. Since you're working with SQLite, Prisma CLI will create your database and apply the changes against your database.
After the first migration is created, the Prisma CLI installs the @prisma/client package. In subsequent database migrations, the Prisma CLI will generate your Prisma Client. Prisma Client is an auto-generated database client that allows you to interact with your database in a type-safe way.
Pretty neat, right? π
Step 3: Modify Your GraphQL Server
Create an instance of PrismaClient
and add it to the context of your GraphQL Server as follows:
//index.ts
import 'reflect-metadata'
import * as tq from 'type-graphql'
import { ApolloServer } from 'apollo-server'
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient()
const app = async () => {
const schema = await tq.buildSchema({})
const context = {
prisma
}
new ApolloServer({ schema, context }).listen({ port: 4000 }, () =>
console.log('π Server ready at: <http://localhost:4000>')
)
}
app()
Adding prisma
to your context makes sure that PrismaClient
is made available to your GraphQL operations.
Step 4: Set Up typegraphql-prisma
TypeGraphQL provides an integration with Prisma using the [typegraphql-prisma](https://www.npmjs.com/package/typegraphql-prisma)
package. This package will auto-generate types, enums and even CRUD resolvers based on your Prisma schema, which you otherwise would need to write manually.
Install typegraphql-prisma
as a dev dependency with the following command:
npm install --save-dev typegraphql-prisma
typegraphql-prisma
is dependent on several packages for it to work properly.
npm install graphql-type-json graphql-fields
npm install --save-dev @types/graphql-fields
Once the dependencies are successfully installed, add a new generator in your schema.prisma
file below the client
generator as follows:
// schema.prisma
generator client {
provider = "prisma-client-js"
}
generator typegraphql {
provider = "typegraphql-prisma"
}
Run npx prisma generate
to generate TypeGraphQL classes and CRUD resolvers based on your Prisma schema.
npx prisma generate
typegraphql-prisma
emits the generated classes, enums and resolvers to node_modules/@generated/typegraphql-prisma
.
It should be noted that in your subsequent migrations, the classes and resolvers TypeGraphQL generates will be automatically updated on running npx prisma migrate dev
.
The final step is updating our resolvers in our Apollo Server:
// index.ts
import 'reflect-metadata';
import { PrismaClient } from '@prisma/client';
import { ApolloServer } from 'apollo-server';
import { resolvers } from "@generated/type-graphql";
import * as tq from 'type-graphql';
const prisma = new PrismaClient()
const app = async () => {
const schema = await tq.buildSchema({ resolvers })
const context = () => {
return {
prisma
}
}
new ApolloServer({ schema, context }).listen({ port: 4000 }, () =>
console.log('π Server ready at: <http://localhost:4000>')
)
}
app()
Step 5: Test Your New GraphQL API
Start your GraphQL server with the following command:
npm run dev
Open localhost:4000 to interact with the GraphQL playground...and congratulations. π
You've successfully automated building a CRUD API. Just to be sure explore Docs section of the playground and try out some queries and mutations:
Create a New Category
:
mutation {
createCategory(data: { name: "electronics" }) {
id
name
}
}
Create a New Product
:
mutation {
createProduct(
data: {
name: "Google Pixel"
sku: "90456123098"
quantity: 1000
categories: { connect: [{ id: 1 }] }
}
) {
id
name
}
}
Query all Products:
{
products {
id
name
quantity
sku
categories{
name
}
orders{
id
}
}
}
Everything is running smoothly. Go ahead and pat yourself on the back for getting this far.
Feel free to explore other mutations and queries on the playground. π
Side Quest: Some typegraphql-prisma
Wizardry π§πΎββοΈ
Alternatively, you can make specific CRUD operations, specific actions, modify generated functions that can be performed against your Prisma schema. This gives you more control of the operations exposed on your API. This approach also allows you to create your custom resolvers and add them to your GraphQL schema.
Expose Specific Prisma CRUD operations
typegraphql-prisma
allows you to expose selected CRUD operations on your API on your Prisma models.
import {
ProductCrudResolver,
CategoryCrudResolver
} from "@generated/type-graphql";
const schema = await tq.buildSchema({
resolvers: [
ProductCrudResolver,
CategoryCrudResolver
]
})
Expose Specific Prisma Actions
To get more control over the GraphQL operations, you can expose, typegraphql-prisma
allows you to expose specific Prisma operations from the generated types.
import {
CreateProductResolver,
UpdateProductResolver
} from "@generated/type-graphql";
const schema = await tq.buildSchema({
resolvers: [
CreateProductResolver,
UpdateProductResolver
]
})
TypeGraphQL allows you to add custom queries and mutations to your schema using the generated Prisma Client.
Applying Custom Resolvers
The beauty of TypeGraphQL is that you can create custom resolvers such as authorization by creating its decorators.
typegraphql-prisma
generates the applyResolversEnhanceMap
function and ResolversEnhanceMap
to aid in the creation of a config object that allows you to add decorator functions.
import {
ResolversEnhanceMap,
applyResolversEnhanceMap,
} from "@generated/type-graphql";
import { Authorized } from "type-graphql";
const resolversEnhanceMap: ResolversEnhanceMap = {
Category: {
createCategory: [Authorized(Role.ADMIN)],
},
};
applyResolversEnhanceMap(resolversEnhanceMap);
Learn more about other advanced operations you can apply to your GraphQL resolvers, such as custom resolvers, authorization, middleware and additional decorators to your Prisma schema and models here.
Generating the SDL
To enable viewing the SDL of your GraphQL API, make the following modification in your application:
const schema = await tq.buildSchema({
resolvers,
emitSchemaFile: true
})
This will automatically create a schema.gql
file with your GraphQL schema definitions in your working directory.
You could also specify the exact path for your schema.gql
file. This modification will add it in src/snapshots/schema
folder:
import path = require('path');
const schema = await tq.buildSchema({
resolvers,
emitSchemaFile: path.resolve(__dirname, "snapshots/schema", "schema.gql"),
})
For the application you just built, here's a preview of the type User
's queries and mutations that is generated:
type Query {
aggregateUser(cursor: UserWhereUniqueInput, orderBy: [UserOrderByInput!], skip: Int, take: Int, where: UserWhereInput): AggregateUser!
findFirstUser(cursor: UserWhereUniqueInput, distinct: [UserScalarFieldEnum!], orderBy: [UserOrderByInput!], skip: Int, take: Int, where: UserWhereInput): User
user(where: UserWhereUniqueInput!): User
users(cursor: UserWhereUniqueInput, distinct: [UserScalarFieldEnum!], orderBy: [UserOrderByInput!], skip: Int, take: Int, where: UserWhereInput): [User!]!
}
type Mutation {
createUser(data: UserCreateInput!): User!
deleteManyUser(where: UserWhereInput): AffectedRowsOutput!
deleteUser(where: UserWhereUniqueInput!): User
updateManyUser(data: UserUpdateManyMutationInput!, where: UserWhereInput): AffectedRowsOutput!
updateUser(data: UserUpdateInput!, where: UserWhereUniqueInput!): User
upsertUser(create: UserCreateInput!, update: UserUpdateInput!, where: UserWhereUniqueInput!): User!
}
You can learn more about this feature here.
Conclusion
You have successfully built a CRUD GraphQL API by barely writing any code. Simple and fast. I hope you have enjoyed this tutorial. Feel free to share your thoughts, and share what kind of tutorials or examples you would like to see more.
Explore the prisma-examples to see how Prisma can fit in your stack. If you feel an example is missing, create an issue. π
Happy hacking! π©πΎβπ»π¨πΎβπ»
Top comments (5)
Thanks for this nice write-up! I have one question though - is there a way to use the generated resolvers for user specific content, instead of writing your own resolver? For example, let a user create an order (but only for themselves) or let a user see only their own orders.
I was thinking about some sort of middleware that filters certain properties of a mutation or query, but I haven't been able to figure that out by reading the docs so far. My gut feeling would be to write my own resolvers so far, which would make most of the generated ones useless to my use case (other than for admin APIs).
Thanks a lot!
nice!
With this setup how can we make it work for https and add ssl certificates?
Is there any reference of upgrading this example with Apollo 4.x version and where I can find example for adding custom endpoint for health check like /myservice/actuator/health
Not yet. Unfortunately, TypeGraphQL does not yet support GraphQL 16. Michal is working on TypeGraphQL 2.0 which will add support for GraphQL 16 and Apollo Server 4. (More details in this GH issue)
You can already try it out the beta version
npm i type-graphql@next