The incredible power of Blitz Recipes isn't limited to the official
recipes in the Blitz repo. The API for building recipes is a public API
(although one that is subject to change) exposed via the
blitz
package from blitz/installer
, which
can be installed into your own scripts to write a completely custom
recipe. Combined with the power of
jscodeshift
for transforming
existing files, fully automated code migrations are first-class citizens
in the Blitz ecosystem.
To author your own recipe, you'll want to create a new package and install
a couple of dependencies. You'll only need the jscodeshift
dependencies
if you're using a transform step to modify an existing file. If you're
only creating new files or adding dependencies you'll only need
blitz
.
If you're going to be writing tests for your recipe you'll need a build
and test setup. We recommend tsdx
and Vitest for building and running tests.
pnpm add blitz jscodeshift @types/jscodeshift
The Recipe API all revolves around the RecipeBuilder
factory. Blitz
assumes that the file referenced in the main
field of your
package.json
has a recipe as its default export, so we can go ahead and
set that up.
// package.json
{
"main": "index.ts"
}
// index.ts
import { RecipeBuilder } from "blitz/installer"
export default RecipeBuilder().build()
In addition to the actual steps of the recipe, we require that the developer supply metadata about the recipe. This allows us to display some information to the user about what they're installing, as well as where they can look for support if they need it.
RecipeBuilder()
.setName("My Package")
.setDescription(
"A little bit of information about what exactly is being installed."
)
.setOwner("Fake Author <blitz@blitzjs.com>")
.setRepoLink("https://github.com/fake-author/my-recipe")
.build()
This is a pretty good start, and is actually all we need to create an
executable recipe that a user can run via blitz install
. However, it's
not very useful because we don't actually have any steps for the installer
framework to execute. Keep reading to learn about the different actions we
can execute.
Each action type has a shared interface for defining a "step" in the recipe. This ensures consistency in the user experience and enables us to provide a pleasant installation experience. Each step that gets added must have a string ID that's used to internally track the progress of the installation, a display name, and an explanation for what the step is doing.
interface Config {
stepId: string
stepName: string
explanation: string
}
Eventually we expect to provide hooks into the recipe lifecycle, making
some of the metadata like stepId
critical.
The first action we can take is adding dependencies to the user's
application. This step type will automatically detect whether the user is
using yarn
or npm
and use the proper tool. The configuration is very
straightforward â it accepts a list of packages, their versions, and
whether or not they should be installed as a devDependency
.
builder.addAddDependenciesStep({
stepId: "addDeps",
stepName: "Add npm dependencies",
explanation: `We'll install the Tailwind library itself, as well as PostCSS for removing unused styles from our production bundles.`,
packages: [
{ name: "tailwindcss", version: "1" },
{ name: "postcss-preset-env", version: "latest", isDevDep: true },
],
})
One incredibly powerful part of recipes is the ability to generate files from templates.
We use a custom templating language that's natural to both read and write. Read our template documentation to learn how to write templates.
By supplying the templateValues
configuration, you can either supply a
hard-coded object for values to interpolate in the template or a function
that returns an object. The function will be passed any additional
arguments passed to blitz install
(e.g.
blitz install myrecipe --someConfig=false
). The template files can go
anywhere in your recipe's file structure, you supply the path as a part of
the recipe definition.
import { join } from "path"
builder.addNewFilesStep({
stepId: "addStyles",
stepName: "Add base Tailwind CSS styles",
explanation: `Next, we need to actually create some stylesheets! These stylesheets can either be modified to include global styles for your app, or you can stick to using classnames in your components.`,
targetDirectory: "./app",
templatePath: join(__dirname, "templates", "styles"),
templateValues: {},
})
Arguably the most powerful part of Blitz recipes, using JSCodeShift you
can write a transform that will modify an existing file. The transform
function is passed the AST representing the selected file, an object for
building new nodes, and an object to assist with typechecking and
assertions on nodes. ASTExplorer is a great
place to get familiar with the AST structures and to play around with
transforms. For best results, use the @babel/parser
for the parser
setting, and jscodeshift
for the transform setting.
Blitz supplies some predefined transforms for you for the most common
cases, but you can always write a custom transform to modify any
JavaScript file you want. We also provide a convenience utility for
accessing common files like _app.tsx
or next.config.js
. If the file
path is a glob pattern, the installer process will prompt the user to
select a file matching the pattern.
import { addImport, paths } from "blitz/installer"
import j from "jscodeshift"
builder.addTransformFilesStep({
stepId: "importStyles",
stepName: "Import stylesheets",
explanation: `Finaly, we can import the stylesheets we created, into our application. For now we'll put them in document.tsx, but if you'd like to only style a part of your app with tailwind you could import the styles lower down in your component tree.`,
singleFileSearch: paths.app(),
transform(program: j.Collection<j.Program>) {
const stylesImport = j.importDeclaration(
[],
j.literal("app/styles/index.css")
)
return addImport(program, stylesImport)!
},
})
Because transforms are self-contained functions that execute on ASTs, you
can actually unit test this part of your installer, which is incredibly
helpful for reliability. Using jscodeshift
directly along with snapshot
testing, the tests are quick to write:
import j from "jscodeshift"
import { addImport, customTsParser } from "blitz/installer"
const sampleFile = `export default function Comp() {
return <div>hello!</div>;
})`
expect(
addImport(
j(sampleFile, {
parser: customTsParser,
}),
newImport
).toSource()
).toMatchSnapshot()
Not all modifications can be performed using jscodeshift
. For any other
transformations, you can use transformPlain
:
builder.addTransformFilesStep({
// ...
singleFileSearch: "README.md",
transformPlain(readme: string) {
return readme + "\n" + "Paul Plain was here!"
},
})
This step would append "Paul Plain was here!" to the user's README.md
Sometimes you need to print a simple message, or give some instructions,
you can achieve that with printMessage
builder.printMessage({
successIcon: "âšī¸",
stepId: "oops",
stepName: "Contributors needed!",
message: "If you like this recipe, consider helping out!",
})
This step would print "If you like this recipe, consider helping out!" to terminal and wait for the user to go to the next step.
If you want to customize your recipe even further, you can pass an
optional successIcon
param to your steps.
builder.addTransformFilesStep({
successIcon: "đ§",
// ...
})
A lot of recipes may need to add or modify models in the schema.prisma
file in order to apply the recipe's effects. You can attempt to manipulate
the schema using plain string transformations in transformPlain
, but a
lot of recipes may require the ability to query something about the schema
first. For example, to determine the model on the other end of a
Relation,
or to detect if a field already exists.
For your convenience, there are several pre-written utilities for common schema modifications:
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Create the enum Role with two values, USER and ADMIN
return addPrismaEnum(source, {
type: "enum",
name: "Role",
enumerators: [
{type: "enumerator", name: "USER"},
{type: "enumerator", name: "ADMIN"},
],
})
}
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Add a field "name String @unique" to the "Project" model
return addPrismaField(source, "Project", {
type: "field",
name: "name",
fieldType: "String",
optional: false,
attributes: [{type: "attribute", kind: "field", name: "unique"}],
})
}
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Create a prisma generator for nexus-prisma
return addPrismaGenerator(source, {
type: "generator",
name: "nexusPrisma",
assignments: [
{type: "assignment", key: "provider", value: '"nexus-prisma"'},
],
})
}
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Create a prisma model called Project
return addPrismaModel(source, {
type: "model",
name: "Project",
properties: [{type: "field", name: "name", fieldType: "String"}],
})
}
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Creates an index attribute on the Project model "@@index([name])"
return addPrismaModelAttribute(source, "Project", {
type: "attribute",
kind: "model",
name: "index",
args: [
{type: "attributeArgument", value: {type: "array", args: ["name"]}},
],
})
}
Since a prisma schema can only have one data source, there is no "add" utility, this will replace the schema's current data source.
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
// Set the datasource to postgresql
return setPrismaDataSource(source, {
type: "datasource",
name: "db",
assignments: [
{type: "assignment", key: "provider", value: '"postgresql"'},
{
type: "assignment",
key: "url",
value: {type: "function", name: "env", params: ['"DATABASE_URL"']},
},
],
})
}
If the provided helpers aren't flexible enough for your recipe, you can
use the produceSchema
utility function to parse the prisma schema file
and apply custom transformations. It will convert the schema into a JSON
object format that you can modify using JavaScript, then print the schema
(with your changes applied) back out to a string. All of the above helpers
are implemented using produceSchema
.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.prismaSchema(),
transformPlain(source: string) {
return produceSchema(source, (schema) => {
// find a model named "User"
const model = schema.list.find(function (item): item is Model {
return item.type === "model" && item.name === "User"
}) as Model
if (!model) return
// find a field on the "User" model named "email"
const field = model.properties.find(function (
property
): property is Field {
return property.type === "attribute" && property.name === "email"
})
if (!field) return
// add the "@unique" attribute to "email"
field.attributes?.push({
type: "attribute",
kind: "field",
name: "unique",
})
})
},
})
It is a best practice for schema transformations to be idempotent, meaning that the function should not attempt to make a change to the schema if that change already has been made. For instance, do not add a field to a model if that field already exists.
To see how the schema file is parsed, click here.
Some recipes may require modifying an existing Next.js config file. We are
fortunate enough to be able to use the paths
provided by the
blitz/installer
module. You can pass this into your
singleFileSearch
and use jscodeshift
to modify it.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.blitzConfig(),
transform(program: j.Collection<j.Program>) {
// Perform your transformation here!
},
})
The transformNextConfig
function can be imported from the
blitz/installer
module. It looks for the configuration object and
lets you modify it. It takes a program
as an argument, and returns helper functions to use.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.blitzConfig(),
transform(program: j.Collection<j.Program>) {
transformBlitzConfig(program)
return program
},
})
There are cases when you want to wrap the configuration object with another function, like this:
const createVanillaExtractPlugin = require("@vanilla-extract/next-plugin")
const withVanillaExtract = createVanillaExtractPlugin();
const config = {
/* ... */
}
module.export = withBlitz(withVanillaExtract(config))
The wrapConfig
function can be accessed from transformNextConfig()
. It looks for withBlitz()
and wraps whatever's inside with the name of the function you supply.
Note that you still need to create the require statement - you can use
transformNextConfig(program).addRequireStatement(identifier, packageName)
for this.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.blitzConfig(),
transform(program: j.Collection<j.Program>) {
program = addImport(
program,
j.importDeclaration(
[j.importSpecifier(j.identifier("createVanillaExtractPlugin"))],
j.literal("@vanilla-extract/next-plugin")
)
)
transformNextConfig(program).wrapConfig("withVanillaExtract")
return program
},
})
Using the transform function addBlitzMiddleware
you can add new
middleware from a recipe.
The addBlitzMiddleware
function can be imported from the
blitzjs/installer
module.
import { addBlitzMiddleware } from "blitz/installer"
This function takes two arguments program
and middleware
. program
being the jscodeshift object we are modifying, and middleware
being a
function we want to add as middleware.
Using a transformation step, we can take advantage of singleFileSearch
,
construct our middleware, and add it.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.blitzConfig(),
transform(program: j.Collection<j.Program>) {
// This is the middleware we want to add
const newMiddleware = j.arrowFunctionExpression(
[j.identifier("req"), j.identifier("res"), j.identifier("next")],
j.blockStatement([
j.expressionStatement(
j.assignmentExpression(
"=",
j.memberExpression(
j.identifier("res"),
j.identifier("blitzCtx.foo")
),
j.identifier("bar")
)
),
j.returnStatement(j.callExpression(j.identifier("next"), [])),
])
)
addBlitzMiddleware(program, newMiddleware)
return program
},
})
In this case, the resulting middleware is added to your blitz server file:
export const { gSSP, gSP, api } = setupBlitzServer({
// ...
plugins: [
// ...
BlitzServerMiddleware((_, res, next) => {
res.blitzCtx.foo = bar;
return next();
}),
],
})
You may want to modify the user's _app
page and wrap whatever is in the return statement:
function MyApp({ Component, pageProps }: AppProps) {
const getLayout = Component.getLayout || ((page) => page)
return (
<ChakraProvider>
<ErrorBoundary FallbackComponent={RootErrorFallback}>
{getLayout(<Component {...pageProps} />)}
</ErrorBoundary>
</ChakraProvider>
);
}
wrapAppWithProvider
is exported from blitz/installer
and requires program
& element
(being the name of the jsx component). The function searches for MyApp
then wraps whatever is returned with a JSX component identified by the element string passed.
import {..., wrapAppWithProvider} from "blitz/installer"
...
addTransformFilesStep({
stepId: "importProviderAndReset",
stepName: "Import ChakraProvider component",
explanation: `Import the chakra-ui provider into _app, so it is accessible in the whole app`,
singleFileSearch: paths.app(),
transform(program) {
...
return wrapAppWithProvider(program, "ChakraProvider")
},
})
Some recipes may require modifying the existing Babel config file. We are
fortunate enough to be able to use the paths
provided by the
blitz/installer
. You can pass this into your
singleFileSearch
and use jscodeshift
to modify it.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.babelConfig(),
transform(program: j.Collection<j.Program>) {
// Perform your transformation here!
},
})
blitz/installer
provides two transformers:
addBabelPlugin
and addBabelPreset
. Both take the program
and the
plugin/preset. You don't need to worry about jscodeshift stuff, you only
need to provide a valid JSON object and it will be transformed. This
argument has to be either the name of the plugin/preset (as a string) or a
array with two elements: the name of the plugin/preset and its
configuration.
builder.addTransformFilesStep({
// ...
singleFileSearch: paths.babelConfig(),
transform(program: j.Collection<j.Program>) {
program = addBabelPlugin(program, "@emotion")
program = addBabelPreset(program, [
"preset-react",
{ runtime: "automatic", importSource: "@emotion/react" },
])
return program
},
})
In case you have a recipe which should run an external command like
blitz prisma generate
, you can use addRunCommandStep
.
Example usage:
builder.addRunCommandStep({
stepId: "runCommand",
stepName: "Generate prisma client",
explanation:
"Since we added a new generator to the prisma schema, we have to update the prisma client",
command: "blitz prisma generate",
})
We have suppressed the command output, so the user will not see the result of the executed command.
That's all you need to build a recipe! At this point, you can commit and
push up to GitHub, and your recipe is available to the world. Users can
install your recipe by passing your full repository name to
blitz install
- for example:
blitz install some-githubuser/my-awesome-recipe
To test your recipe locally without publishing it you can run
blitz install /path/to/your/recipes/index.ts