with Google Chat (Service Account Key) and PostgreSQL?
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
module.exports = defineComponent({
props: {
google_chat_service_account_key: {
type: "app",
app: "google_chat_service_account_key",
}
},
async run({ steps, $ }) {
// Required workaround to get the @google-cloud/storage package
// working correctly on Pipedream
require("@dylburger/umask")();
const { google } = require("googleapis");
const key = JSON.parse(this.google_chat_service_account_key.$auth.key_json);
const auth = new google.auth.JWT({
email: key.client_email,
key: key.private_key,
scopes: ["https://www.googleapis.com/auth/chat.bot"],
});
const chat = google.chat({ version: "v1", auth });
// Returns spaces the bot has access to
return await chat.spaces.list();
},
})
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);
},
})