Power your business with #AI | Build voice- and #chatbots in 100+ languages, no coding skills needed
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Chatlayer API by Sinch allows developers to integrate advanced chatbot functionalities into their applications, enabling AI-driven conversations across various channels like web, mobile, and social media platforms. With Pipedream, you can automate workflows involving the Chatlayer API to facilitate seamless interactions, gather user insights, and streamline communications. This integration can help in automating responses, analyzing sentiment, and managing user data in real-time, thus enhancing user engagement through personalized and context-aware dialogues.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatlayer: {
type: "app",
app: "chatlayer",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.chatlayer.$auth.url}/v1/bots`,
headers: {
Authorization: `Bearer ${this.chatlayer.$auth.access_token}`,
},
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})