Faros helps DevOps professionals automate tasks with a single API
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 Faros API opens a gateway to streamline data from engineering tools into analytics-ready formats. With it, you can automate the aggregation of data from project management, source control, CI/CD, and incident management systems into Faros's unified data model. It's about turning disparate data points into actionable insights, which can lead to more informed decision-making and streamlined workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
faros: {
type: "app",
app: "faros",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.faros.ai/v0/admin/user/me`,
headers: {
"Content-Type": `application/json`,
"Authorization": `${this.faros.$auth.api_key}`,
},
})
},
})
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()
},
})