npm i firebase-admin-rest@latest Tiny Typesafe Firebase Admin REST API wrapper that works on Vercel Edge functions, Bun, Cloudflare workers, Deno or any JS runtime.
- Provide a common SDK that can be used in any JS environment without problems unlike the firebase-admin sdk.
- Typesafe out of the box, till now have implemented:
Firestore- Storage
- Authentication
- Realtime DB
- Goal is to have the almost the same structure so you don't have to rewrite any code, you copy and paste the code you already built in firebase-admin and it will work magically 👌
// firebase-admin
const db = app.firestore();
const docs = await db.collection(`users`).limit(10).get()
// firebase-admin-rest
const db = await initFirebaseRest().firestore();
const docRef = await db.doc<User>(`users`).limit(10).page(2).get(); Typesafe + helper functions like pagination!
npm i firebase-admin-rest@latest
- You can either setup an ENV then be able to directly call the sdk:
FAR_PROJECT_ID="PROJECT_ID"
FAR_CLIENT_EMAIL="SERVICE_ACCOUNT_CLIENT_EMAIL"
FAR_PRIVATE_KEY="SERVICE_ACCOUNT_PRIVATE_KEY"const db = await initFirebaseRest().firestore();
const docRef = await db.doc(`users/test_1`).get();
console.log(docRef.data())- Or you can initalise the firestore instance with the service account object:
// TODO: Replace the following with your app's Firebase project configuration
const serviceAccount = {
//...
};
const db = await initFirebaseRest({
serviceAccount: serviceAccount, // service acccount config
databaseId: '(default)', // change it to a custom db
}).firestore();
const docRef = await db.doc(`users/test_1`).get();
console.log(docRef.data())async function getDoc() {
const db = await initFirebaseRest().firestore();
const docRef = await db.doc(`users/test_1`).get();
console.log(docRef.data())
}
getDoc();async function getDocs() {
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection('users').limit(10).get();
docsRef.docs.forEach(element => {
console.log(element.data())
});
}
getDocs()async function queryDocs1() {
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection<any>('users').where('age', '>', 25).get();
docsRef.docs.forEach(element => {
const user = element.data();
console.log(user?.name)
});
}
queryDocs1()By default if a query requires an index to be created we also handle error handling and output the URL to create the index right away during development.
async function queryDocs2() {
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection<any>('users').where('name', '==', 'John Doe').orderBy('age', 'desc').get();
// outputs an error if index is not created..
docsRef.docs.forEach(element => {
const user = element.data();
console.log(user?.name)
});
}
queryDocs2()Out of the box you can simply call .page and you can paginate the results where every page will have the limit you specifed.
async function queryDocs3() {
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection<any>('users').where('age', '>', 25).orderBy('age', 'desc').limit(5).page(3).get(); // 5 items per page
docsRef.docs.forEach(element => {
const user = element.data();
console.log(user?.name)
});
}- Sometimes you have a big amount of data that you need to store somehow but firestore is not quite enough, and buckets are an overkill..
- We have created a helper function to reserve a collection to act as a huge document store (infinite in theory) where every document read will get (950MB - 1MB) of JSON data.
- This fixes the limits with firestore and at the same time prevents us from using buckets since bandwidth can get expensive quickly.
async function collectionToDocs() {
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection<any>('big_data').todocs(
Array(50_000).fill(null).map((item, index) => {
return {
id: `${Math.random().toString(36).substring(7)}`,
name: `John Doe ${index}`,
age: 30,
email: `atoot@gmail.com`,
}
})
);
console.log(`Done`, docsRef)
}
collectionToDocs()async function collectionToJson(){
const db = await initFirebaseRest().firestore();
const docsRef = await db.collection(`big_data`).tojson();
// this will return a JSON object with the same structure as the collection
// each document read has 1MB of data, so this is a good way to store large data without querying hundreds or thousands of documents
// storing on a bucket is also an option, but the bandwidth is expensive and will add up
console.log(docsRef.docReads)
}
collectionToJson()Actively maintained by https://github.com/Moe03 since I'm using it all the time on edge functions, cloudflare workers and will definitely support more firebase products soon.
Contribute however you'd like :)
MIT