The ultimate AI chatbot builder.
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
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`,
},
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})