Achieve your fitness goals through customized coaching and actionable tips based on your health and activity history.
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
Google Fit (Developer App) provides a robust API for accessing and storing a user's health and wellness data collected from various devices and apps. With it, you can read and write different types of fitness data, such as steps, calories burned, and heart rate, enabling the development of personalized health dashboards, proactive fitness reminders, and integrative health reports. Using Pipedream, this data can be ingested and combined with other services to automate health tracking, set goals, and even inform healthcare providers or coaching systems of a user's progress.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_fit_developer_app: {
type: "app",
app: "google_fit_developer_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_fit_developer_app.$auth.oauth_access_token}`,
},
})
},
})
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()
},
})