Project & code management
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 Backlog API provides a suite of functions for developers to integrate with and automate their project management needs. Through Pipedream, you can harness this API to create workflows that respond to events in Backlog, manipulate issues, track progress, and sync with other tools. This seamless integration allows you to streamline project management tasks, keep your team informed in real-time, and connect Backlog with other apps to enhance your productivity.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
backlog_api: {
type: "app",
app: "backlog_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://xx.backlog.com/api/v2/users/myself`,
params: {
apiKey: `${this.backlog_api.$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()
},
})