with Toggl Track and Rockset?
Emit new event when a time entry is started. See docs here
Emit new event when a time entry is created. See docs here
Emit new event when a time entry is updated. See docs here
Emit new event on receive a webhook event. See docs here
Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments
Get the time entry that is running now. [See docs here]https://developers.track.toggl.com/docs/api/time_entries#get-get-current-time-entry)
Toggl Track is a time tracking API that lets you start, stop, and manage timers and time entries, as well as manage projects, clients, and tasks associated with time records. With the Toggl Track API on Pipedream, you can automate time tracking activities, synchronize data across platforms, and generate insights from time tracking data to improve productivity and project management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
toggl: {
type: "app",
app: "toggl",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.track.toggl.com/api/v9/me`,
auth: {
username: `${this.toggl.$auth.api_token}`,
password: `api_token`,
},
})
},
})
Rockset is a real-time indexing database service designed for low-latency, high-concurrency analytics. With the Rockset API, you can query your datasets, create and manage collections, and integrate with event streams for real-time analytics. Using Pipedream's serverless platform, you can automate workflows that react to database events, sync data across services, or trigger actions based on analytical insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rockset: {
type: "app",
app: "rockset",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rs2.usw2.rockset.com/v1/orgs/self/users/self`,
headers: {
"Authorization": `ApiKey ${this.rockset.$auth.apikey}`,
},
})
},
})