Firebase is Google's mobile platform that helps you quickly develop high-quality apps and grow your business.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates or replaces a child object within your Firebase Realtime Database. See the docs here
The Firebase Admin SDK API provides powerful backend functionality for Firebase apps. It allows you to interact with Firebase services like Firestore, Firebase Realtime Database, Firebase Storage, and Firebase Authentication directly from a server. With Pipedream, you can harness this API to automate complex workflows, respond to Firebase events in real-time, and integrate with countless other services.
import admin from "firebase-admin"
export default defineComponent({
props: {
firebase_admin_sdk: {
type: "app",
app: "firebase_admin_sdk",
},
},
async run({ steps, $ }) {
// Enter values for the following parameters below this code step,
// These get passed to the initializeApp method below.
const {
projectId,
clientEmail,
privateKey,
region = "firebaseio.com",
} = this.firebase_admin_sdk.$auth
// Before passing the privateKey to the initializeApp constructor,
// we have to replace newline characters with literal newlines
const formattedPrivateKey = privateKey.replace(/\\n/g, "\n")
// See https://firebase.google.com/docs/reference/admin/node/admin.credential.html#cert
if (!admin.apps.length) {
admin.initializeApp({
credential: admin.credential.cert({
projectId,
clientEmail,
privateKey: formattedPrivateKey,
}),
databaseURL: `https://${projectId}-default-rtdb.${region}/`,
})
}
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}