with FTrack and Data Stores?
Triggered when the status of an item is changed. See the documentation
Add or update a single record in your Pipedream Data Store
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
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: []
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})