Achieve your fitness goals through customized coaching and actionable tips based on your health and activity history.
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 Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})