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The Plasmic API enables you to tap into the powerful visual design features of Plasmic within Pipedream workflows. With it, you can automate the fetching, updating, and publishing of Plasmic projects and their components. This opens up possibilities for dynamic content management, design collaboration automation, and streamlined deployment processes. You can use the Plasmic API to integrate with various services, trigger updates across platforms, or synchronize design changes in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
plasmic: {
type: "app",
app: "plasmic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://codegen.plasmic.app/api/v1/loader/html/preview/${this.plasmic.$auth.project_id}/{your_component_name}`,
headers: {
"x-plasmic-api-project-tokens": `${this.plasmic.$auth.project_id}:${this.plasmic.$auth.project_token}`,
},
})
},
})
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})