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Emit new event when there is a new issue in Leiga for the specified project.
Emit new event when an existing issue is updated in Leiga.
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
Finds a row in a table via a custom query. See the documentation
The Leiga API unlocks the potential to automate and streamline your graphic design operations. By integrating with Pipedream, you can trigger workflows using events from other apps, manipulate and store data, or even orchestrate complex operations among various services. Whether you're looking to automate image processing, streamline asset management, or create dynamic marketing campaigns, Pipedream's serverless platform lets you build scalable and efficient workflows with the Leiga API.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leiga: {
type: "app",
app: "leiga",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.leiga.com/openapi/api/org/all-member-list`,
headers: {
"accessToken": `${this.leiga.$auth.oauth_access_token}`,
},
params: {
pageNumber: `1`,
pageSize: `10`,
},
})
},
})
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);
},
})