The ultimate AI chatbot builder.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Droxy API enables the construction of powerful serverless workflows on Pipedream, tapping into Droxy's capability to manage Docker containers. You can automate container lifecycle, pull statistics, and handle dynamic scaling based on real-time data. Pipedream's robust platform supports connecting to countless services which means you can integrate Droxy with other apps to facilitate CI/CD pipelines, application monitoring, or even chatbot notifications for container status updates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
droxy: {
type: "app",
app: "droxy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.droxy.ai/v1/chatbot/all`,
headers: {
"x-api-key": `${this.droxy.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
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);
},
});