with Customer Fields and Google Dialogflow?
Trigger when a new customer is added to the database. See the documentation
Trigger when a profile of a customer has been updated or changed. See the documentation
Create a new customer with detailed attributes using the provided data. See the documentation
Batch create entities, See REST docs and client API docs
Creates an Entity Type, See REST docs and client API docs
Update an existing customer's information with new provided data. See the documentation
The Customer Fields API provides a suite of tools for managing customer data in e-commerce platforms, including custom form fields and data automation. With it, you can efficiently tailor customer interactions, streamline data collection, and enhance the shopping experience. Integrating Customer Fields with Pipedream allows for seamless automation of tasks like syncing data to other platforms, triggering personalized communications, or managing customer segments based on custom field data.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
customer_fields: {
type: "app",
app: "customer_fields",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.customerfields.com/api/v2/shop.json`,
headers: {
Authorization: `Bearer ${this.customer_fields.$auth.oauth_access_token}`,
"accept": `application/json`,
"content-type": `application/json`,
},
})
},
})
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.`)
}
},
})