Integrate the ChatFAI API with the MongoDB API

Setup the ChatFAI API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate ChatFAI and MongoDB remarkably fast. Free for developers.

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Popular Ways to Connect ChatFAI with MongoDB#

Generate Message Reply with ChatFAI API on New Collection from MongoDB API

MongoDB + ChatFAI

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Generate Message Reply with ChatFAI API on New Database from MongoDB API

MongoDB + ChatFAI

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Generate Message Reply with ChatFAI API on New Document from MongoDB API

MongoDB + ChatFAI

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Generate Message Reply with ChatFAI API on New Field in Document from MongoDB API

MongoDB + ChatFAI

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Get Public Character by ID with ChatFAI API on New Collection from MongoDB API

MongoDB + ChatFAI

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Popular ChatFAI and MongoDB Triggers#

New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

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New Database from the MongoDB API

Emit new an event when a new database is added

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New Document from the MongoDB API

Emit new an event when a new document is added to a collection

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New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

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Popular ChatFAI and MongoDB Actions#

Generate Message Reply with the ChatFAI API

Generates a message reply using a ChatFAI character. See the documentation

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Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

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Get Public Character by ID with the ChatFAI API

Gets a public character by ID from ChatFAI. See the documentation

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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

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Search Public Characters with the ChatFAI API

Search for public characters on ChatFAI. See the documentation

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Overview of ChatFAI#

The ChatFAI API enables the creation of chatbots with capabilities ranging from answering FAQs to providing recommendations and conducting conversations. Leveraging this API within Pipedream allows for the automation of these conversational features across various platforms and services. With Pipedream's serverless approach, you can integrate the ChatFAI API to trigger actions, respond to events, and connect with numerous apps to enhance user engagement and streamline communication processes.

Connect ChatFAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatfai: {
      type: "app",
      app: "chatfai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://api.chatfai.com/v1/characters/search`,
      headers: {
        Authorization: `Bearer ${this.chatfai.$auth.api_key}`,
      },
      params: {
        "q": `Bertram Gilfoyle`,
      },
    })
  },
})

Overview of MongoDB#

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.

Connect MongoDB#

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()
  },
})

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