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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 JeffreyAI API offers a suite of AI-driven capabilities such as natural language understanding, image recognition, and sentiment analysis. With these tools, you can automate and enhance various aspects of your applications, from analyzing customer feedback to moderating content. Integrating the JeffreyAI API with Pipedream allows you to seamlessly connect its AI features with hundreds of other apps to create powerful workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jeffreyai: {
type: "app",
app: "jeffreyai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.jeffreyai.$auth.environment}.jeffreyai.com/contact/ContactService.svc/GetContacts`,
headers: {
"Authorization": `${this.jeffreyai.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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()
},
})