CoderPad is a technical interview platform for leading development teams. It enables a quick, accurate read on a candidate's skills through the hiring process
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Execute an aggregation pipeline on a MongoDB collection. See the documentation
The CoderPad API on Pipedream allows developers to streamline technical interviews and coding assessments by automating the creation, management, and evaluation of coding pads. By integrating CoderPad with Pipedream, you can set up custom workflows that respond to events in your hiring pipeline, synchronize interview data with HR systems, evaluate coding performance, and much more. This seamless automation can save time, reduce manual error, and enhance the overall efficiency of technical assessments.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
coderpad: {
type: "app",
app: "coderpad",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.coderpad.io/api/pads`,
headers: {
"Authorization": `Token token=${this.coderpad.$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()
},
})