with TMetric and MySQL?
Emit new event when a task is created. See the docs here
Emit new event when you add a new column to a table. See the docs here
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when you add a new row to a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Create a new Time Entry. See the documentation
Delete the specified Time Entry. See the documentation
Adds a new row. See the docs here
Modify the specified Time Entry. See the documentation
The TMetric API provides the ability to interact programmatically with TMetric's time tracking features, allowing developers to create, read, update, and delete time entries, projects, and workspaces. By leveraging the API within Pipedream, you can connect TMetric to 3,000+ other apps to automate time tracking as part of larger business processes, such as invoicing, project management, and reporting workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tmetric: {
type: "app",
app: "tmetric",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tmetric.com/api/v3/user`,
headers: {
Authorization: `Bearer ${this.tmetric.$auth.api_token}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});