ftrack, a Backlight business, is the creator of Emmy and Academy Award-winning team collaboration and media review platforms for the creative industries.
Triggered when the status of an item is changed. See the documentation
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
The FTrack API is a powerhouse for creative project management, enabling users to automate and integrate a wide array of tasks related to project tracking, asset management, and team collaboration. With Pipedream, you can harness this API to create custom workflows that trigger actions within FTrack or connect it with other apps to streamline your creative operations. It's a toolset for improving efficiency by automating repetitive tasks, syncing data across applications, and orchestrating complex project management activities.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ftrack: {
type: "app",
app: "ftrack",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://${this.ftrack.$auth.subdomain}.ftrackapp.com/api`,
headers: {
"Content-Type": `application/json`,
"ftrack-user": `${this.ftrack.$auth.username}`,
"ftrack-api-key": `${this.ftrack.$auth.api_key}`,
},
data: []
})
},
})
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);
},
})