with Google Dialogflow and Cloudflare R2?
Batch create entities, See REST docs and client API docs
Creates an Entity Type, See REST docs and client API docs
Creates new agent, updates if already created See REST docs and client API
Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.
module.exports = defineComponent({
props: {
google_dialogflow: {
type: "app",
app: "google_dialogflow",
}
},
async run({steps, $}) {
// Example code from the Dialogflow Node.js library:
// https://github.com/googleapis/nodejs-dialogflow
const dialogflow = require('dialogflow')
const uuid = require('uuid')
// A unique identifier for the given session
const sessionId = uuid.v4()
const key = JSON.parse(this.google_dialogflow.$auth.key_json)
// Creates a session client from a Google service account key.
const sessionClient = new dialogflow.SessionsClient({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
// The text query request.
const request = {
session: sessionPath,
queryInput: {
text: {
// The query to send to the dialogflow agent
text: 'hello',
// The language used by the client (en-US)
languageCode: 'en-US',
},
},
}
// Send request and log result
const responses = await sessionClient.detectIntent(request)
console.log('Detected intent')
const result = responses[0].queryResult
console.log(`Query: ${result.queryText}`)
console.log(`Response: ${result.fulfillmentText}`)
if (result.intent) {
console.log(`Intent: ${result.intent.displayName}`)
} else {
console.log(`No intent matched.`)
}
},
})
The Cloudflare R2 API lets you interact with Cloudflare's object storage service, providing a cost-effective way to store large amounts of data with no egress fees. On Pipedream, you can harness this API to build automated workflows that can store, retrieve, and manage data within your R2 buckets. By combining Cloudflare R2 with Pipedream’s capabilities, you can create serverless workflows that trigger on various events, process data in-flight, and integrate with over 800+ apps available on the platform.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
cloudflare_r2: {
type: "app",
app: "cloudflare_r2",
}
},
async run({ steps, $ }) {
const cloudflare_r2 = {
account_id: this.cloudflare_r2.$auth.account_id
};
const s3Client = new S3({
forcePathStyle: false,
endpoint: `https://${cloudflare_r2.account_id}.r2.cloudflarestorage.com`,
region: "auto",
credentials: {
accessKeyId: this.cloudflare_r2.$auth.access_key_id,
secretAccessKey: this.cloudflare_r2.$auth.access_key_secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
}
}
)