with Netlify and Google Dialogflow?
Batch create entities, See REST docs and client API docs
Creates an Entity Type, See REST docs and client API docs
Harness the power of the Netlify API on Pipedream to automate your web development workflows, streamline site deployments, manage DNS settings, and more. With Pipedream's serverless platform, you can orchestrate Netlify's capabilities in concert with numerous other services to enhance productivity, monitor your deployments, and react to events in real-time. Create custom CI/CD pipelines, synchronize your site's content with third-party systems, or automate responses to form submissions, all with the seamless integration of the Netlify API within Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
netlify: {
type: "app",
app: "netlify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.netlify.com/api/v1/user`,
headers: {
Authorization: `Bearer ${this.netlify.$auth.oauth_access_token}`,
},
})
},
})
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.`)
}
},
})