Create Prediction with Replicate API on New Webhook Event Received from Miestro API

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New Webhook Event Received from the Miestro API

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Create Prediction with the Replicate API

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Getting Started#

This integration creates a workflow with a Miestro trigger and Replicate action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Webhook Event Received trigger
1. Connect your Miestro account
2. Optional- Select one or more Event Types
Configure the Create Prediction action
1. Connect your Replicate account
2. Select a Collection Id
3. Select a Model Id
4. Select a Model Version
5. Configure Input
6. Optional- Configure Webhook
7. Optional- Select one or more Webhook Events Filter
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Webhook Event Received on Miestro

Description:Emit new event when a new webhook event is received. Needs webhook registration in Miestro UI using the http endpoint of this source. [See the documentation](https://support.miestro.com/article/277-how-to-create-a-webhook)

Version:0.0.1

Key:miestro-new-webhook-event-received

View on GitHub

Miestro Overview#

Miestro is a robust platform designed for creating and managing online courses. Leveraging the Miestro API on Pipedream allows you to automate interactions with your online courses, such as enrolling students, tracking progress, and analyzing engagement. With the automation workflows on Pipedream, you can streamline your educational platform's operations, react to student activity in real time, and integrate with other services to enhance the e-learning experience.

Trigger Code#

import app from "../../miestro.app.mjs";
import eventTypes from "../../common/event-types.mjs";

export default {
  key: "miestro-new-webhook-event-received",
  name: "New Webhook Event Received",
  description: "Emit new event when a new webhook event is received. Needs webhook registration in Miestro UI using the http endpoint of this source. [See the documentation](https://support.miestro.com/article/277-how-to-create-a-webhook)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    http: "$.interface.http",
    types: {
      type: "string[]",
      label: "Event Types",
      description: "If selected, only events with this event types will be filtered.",
      options: eventTypes,
      optional: true,
    },
  },
  async run(event) {
    const { body } = event;
    if (!this.types || this.types.length == 0 || this.types.includes(body.type)) {
      this.$emit(body, {
        id: Date.now(),
        summary: `New webhook event received - ${eventTypes.find(( type ) => type.value == body.type)?.label}`,
        ts: Date.now(),
      });
    }
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Miestro	`app`	`app`	This component uses the Miestro app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Event Types	`types`	`string[]`	Select a value from the drop down menu:`{ "label": "Sale Free", "value": "sale.free" }{ "label": "Sale One Time", "value": "sale.one-time" }{ "label": "Sale Recurring", "value": "sale.reccuring" }{ "label": "Member Created", "value": "member.created" }{ "label": "Member Deleted", "value": "member.deleted" }{ "label": "Course Completed", "value": "course.completed" }{ "label": "Course Published", "value": "course.published" }{ "label": "Course Unpublished", "value": "course.unpublished" }{ "label": "Course Deleted", "value": "course.deleted" }`

Trigger Authentication#

Miestro uses API keys for authentication. When you connect your Miestro account, Pipedream securely stores the keys so you can easily authenticate to Miestro APIs in both code and no-code steps.

To get your Miestro API Key and Secret, log into your Miestro account, click Settings from the menu on the left, then "API".

About Miestro#

The ultimate course platform to help you easily your own online courses in just 5 steps.

Action#

Create Prediction on Replicate

Description:Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)

Version:0.0.1

Key:replicate-create-prediction

View on GitHub

Replicate Overview#

The Replicate API allows you to access a wide array of machine learning models for tasks such as image generation, text-to-image, and more. Using Pipedream, you can orchestrate these models to automate content creation, analyze media, or enhance data with AI-generated insights. Pipedream's serverless platform empowers you to create workflows that react to events, schedule tasks, and integrate with numerous other services, all harnessing the power of Replicate's AI models.

Action Code#

import replicate from "../../replicate.app.mjs";

export default {
  key: "replicate-create-prediction",
  name: "Create Prediction",
  version: "0.0.1",
  description: "Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)",
  type: "action",
  props: {
    replicate,
    collectionSlug: {
      propDefinition: [
        replicate,
        "collectionSlug",
      ],
    },
    modelId: {
      propDefinition: [
        replicate,
        "modelId",
        ({ collectionSlug }) => ({
          collectionSlug,
        }),
      ],
    },
    version: {
      propDefinition: [
        replicate,
        "modelVersion",
        ({ modelId }) => ({
          modelId,
        }),
      ],
    },
    input: {
      type: "string",
      label: "Input",
      description: "The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the \"Run with API\" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.",
    },
    webhook: {
      type: "string",
      label: "Webhook",
      description: "An HTTPS URL for receiving a webhook when the prediction has new output.",
      optional: true,
    },
    webhookEventsFilter: {
      type: "string[]",
      label: "Webhook Events Filter",
      description: "By default, we will send requests to your webhook URL whenever there are new logs, new outputs, or the prediction has finished. [See de documentartion here](https://replicate.com/docs/reference/http#predictions.create--webhook_events_filter) for more details.",
      options: [
        "start",
        "output",
        "logs",
        "completed",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      replicate,
      version,
      input,
      webhook,
      webhookEventsFilter,
    } = this;

    const response = await replicate.createPrediction({
      $,
      data: {
        version,
        input: JSON.parse(input),
        webhook,
        webhook_events_filter: webhookEventsFilter,
      },
    });

    $.export("$summary", `A new prediction with Id: ${response.id} was successfully created!`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Replicate	`replicate`	`app`	This component uses the Replicate app.
Collection Id	`collectionSlug`	`string`	Select a value from the drop down menu.
Model Id	`modelId`	`string`	Select a value from the drop down menu.
Model Version	`version`	`string`	Select a value from the drop down menu.
Input	`input`	`string`	The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the "Run with API" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.
Webhook	`webhook`	`string`	An HTTPS URL for receiving a webhook when the prediction has new output.
Webhook Events Filter	`webhookEventsFilter`	`string[]`	Select a value from the drop down menu:`startoutputlogscompleted`

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New Webhook Event Received from the Miestro API

Emit new event when a new webhook event is received. Needs webhook registration in Miestro UI using the http endpoint of this source. See the documentation

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