with Google Cloud and Heap?
Inserts rows into a BigQuery table. See the docs and for an example here
Creates a scheduled query in Google Cloud. See the documentation
Gets Google Cloud Storage bucket metadata. See the docs
Downloads an object from a Google Cloud Storage bucket, See the docs
The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.
module.exports = defineComponent({
props: {
google_cloud: {
type: "app",
app: "google_cloud",
}
},
async run({steps, $}) {
// Required workaround to get the @google-cloud/storage package
// working correctly on Pipedream
require("@dylburger/umask")()
const { Storage } = require('@google-cloud/storage')
const key = JSON.parse(this.google_cloud.$auth.key_json)
const storage = new Storage({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
await storage.authClient.getCredentials()
return {
status: "success",
authenticated: true,
projectId: key.project_id,
serviceAccount: key.client_email
}
},
})
The Heap API enables you to automate and integrate your user analytics data with other applications. With Heap, you can extract insights on how users interact with your product, track events without code, and funnel this data into your CRM, marketing tools, or custom dashboards. It's about connecting the dots between user actions and your strategic moves. Heap's API lets you push or pull data, so you're always up-to-date on user behavior and can personalize user experiences at scale.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heap: {
type: "app",
app: "heap",
}
},
async run({steps, $}) {
// From the docs: https://docs.heap.io/reference#track-1
// "Requests are limited to 30 requests per 30 seconds per identity per app_id"
return await axios($, {
method: "POST",
url: `https://heapanalytics.com/api/track`,
headers: {
"Content-Type": "application/json",
},
data: {
app_id: this.heap.$auth.app_id,
identity: params.identity,
event: params.event,
timestamp: params.timestamp || (new Date()).toISOString(),
properties: params.properties,
}
})
},
})