Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.
Emit new event when a new message is posted to one or more channels
Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.
Emit new events with the results of an arbitrary query
Send a message to a user, group, private channel or public channel. See the documentation
Configure custom blocks and send to a channel, group, or user. See the documentation.
Send a message as a threaded reply. See postMessage or scheduleMessage docs here
Inserts rows into a BigQuery table. See the docs and for an example here.
The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.
The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slack: {
type: "app",
app: "slack",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://slack.com/api/users.profile.get`,
headers: {
Authorization: `Bearer ${this.slack.$auth.oauth_access_token}`,
},
})
},
})
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)
// Creates a client from a Google service account key.
// See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
const storage = new Storage({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
// Uncomment this section and rename for your bucket before running this code
// const bucketName = 'pipedream-test-bucket';
await storage.createBucket(bucketName)
console.log(`Bucket ${bucketName} created.`)
},
})