Add Request to Queue with fal.ai API on New Follower from Wordpress.com API

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New Follower from the Wordpress.com API

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Add Request to Queue with the fal.ai API

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Getting Started#

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

Select this integration
Configure the New Follower trigger
1. Connect your Wordpress.com account
2. Select a Site ID or Domain
3. Select a Follower Type
4. Configure Timer
Configure the Add Request to Queue action
1. Connect your fal.ai account
2. Configure App ID
3. Configure Data
4. Optional- Configure Rerun Enabled
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 Follower on Wordpress.com

Description:Emit new event for each new follower that subscribes to the site.

Version:0.0.2

Key:wordpress_com-new-follower

View on GitHub

Wordpress.com Overview#

The Wordpress.com API empowers developers to extend and integrate their website's capabilities with custom automations and connections to a multitude of apps. Through Pipedream's serverless platform, you have the ability to automate content management tasks such as posting new articles, managing comments, and synchronizing users. This can streamline content workflows, enhance user engagement, and keep your site's data in sync with other services like social media, email marketing platforms, and analytics tools.

Trigger Code#

import wordpress from "../../wordpress_com.app.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  key: "wordpress_com-new-follower",
  name: "New Follower",
  description: "Emit new event for each new follower that subscribes to the site.",
  version: "0.0.2",
  type: "source",
  dedupe: "unique",
  methods: {
    getWordpressFollowers($) {

      return this.wordpress.getWordpressFollowers({
        $,
        site: this.site,
        type: this.type,
      });

    },
  },
  props: {
    wordpress,
    db: "$.service.db",
    site: {
      propDefinition: [
        wordpress,
        "siteId",
      ],
    },
    type: {
      type: "string",
      label: "Follower Type",
      description: "Select the type of followers to fetch: those who clicked Subscribe or those manually added in the dashboard.",
      options: [
        {
          label: "WordPress.com Followers",
          value: "wpcom",
        },
        {
          label: "Email-only Followers",
          value: "email",
        },
      ],
      default: "wpcom",
    },
    timer: {
      type: "$.interface.timer",
      label: "Timer",
      description: "How often to poll WordPress for new followers.",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  hooks: {
    async activate() {

      const {
        wordpress,
        db,
      } = this;

      await this.db.set("lastFollowerId", null); //reset

      const response = await this.getWordpressFollowers();

      const followers = response.subscribers || [];

      await wordpress.initialize(followers, db, "lastFollowerId");
    },
  },

  async run({ $ }) {
    const {
      wordpress,
      db,
    } = this;

    const response = await this.getWordpressFollowers($);

    const followers = response.subscribers || [];

    const lastFollowerId = Number(await db.get("lastFollowerId"));

    if (!lastFollowerId) await wordpress.initialize(followers, db, "lastFollowerId");

    let maxFollowerIdTracker = lastFollowerId;
    const newFollowers = [];

    for (const follower of followers) {
      if (Number(follower.ID) > lastFollowerId) {
        newFollowers.push(follower);
        if (Number(follower.ID) > maxFollowerIdTracker) {
          maxFollowerIdTracker = follower.ID;
        }
      }
    }

    for (const follower of newFollowers) {
      this.$emit(follower, {
        id: follower.ID,
        summary: follower.label || follower.login || "Anonymous Follower",
        ts: follower.date_subscribed && +new Date(follower.date_subscribed),
      });
    }

    // Update last seen follower ID
    if (newFollowers.length > 0) {
      await db.set("lastFollowerId", maxFollowerIdTracker);
      console.log(`Checked for new followers. Emitted ${newFollowers.length} follower(s).`);
    } else {
      console.log("No new followers found.");
    }
  },
};

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
Wordpress.com	`wordpress`	`app`	This component uses the Wordpress.com app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Site ID or Domain	`site`	`string`	Select a value from the drop down menu.
Follower Type	`type`	`string`	Select a value from the drop down menu:`{ "label": "WordPress.com Followers", "value": "wpcom" }{ "label": "Email-only Followers", "value": "email" }`
Timer	`timer`	`$.interface.timer`	How often to poll WordPress for new followers.

Trigger Authentication#

Wordpress.com uses OAuth authentication. When you connect your Wordpress.com account, Pipedream will open a popup window where you can sign into Wordpress.com and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Wordpress.com API.

Pipedream requests the following authorization scopes when you connect your account:

global

About Wordpress.com#

Hosted Wordpress

Action#

Add Request to Queue on fal.ai

Description:Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. [See the documentation](https://fal.ai/docs/model-endpoints/queue#queue-endpoints).

Version:0.0.1

Key:fal_ai-add-request-to-queue

View on GitHub

Action Code#

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

export default {
  key: "fal_ai-add-request-to-queue",
  name: "Add Request to Queue",
  description: "Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. [See the documentation](https://fal.ai/docs/model-endpoints/queue#queue-endpoints).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    appId: {
      propDefinition: [
        app,
        "appId",
      ],
    },
    data: {
      type: "object",
      label: "Data",
      description: "Additional data to include with the request. [See the documentation](https://fal.ai/models/fal-ai/lora/api#schema-input) for more input fields.",
      default: {
        model_name: "stabilityai/stable-diffusion-xl-base-1.0",
        prompt: "Photo of a european medieval 40 year old queen, silver hair, highly detailed face, detailed eyes, head shot, intricate crown, age spots, wrinkles",
      },
    },
    reRunEnabled: {
      type: "boolean",
      label: "Rerun Enabled",
      description: "Enable the step to rerun to retrieve the request response. [See the documentation](https://pipedream.com/docs/code/nodejs/rerun/#flowrerun).",
      optional: true,
      reloadProps: true,
      default: false,
    },
  },
  additionalProps() {
    if (this.reRunEnabled) {
      return {
        reRunTimeoutInSecs: {
          type: "integer",
          label: "Rerun Timeout",
          description: "The time in seconds to wait before rerunning the step to retrieve the request response. Eg. `30`. [See the documentation](https://pipedream.com/docs/code/nodejs/rerun/#flowrerun).",
          optional: true,
          min: 10,
        },
      };
    }

    return {
      falWebhook: {
        type: "string",
        label: "Webhook URL",
        description: "The URL to receive updates via webhook.",
        optional: true,
      },
    };
  },
  methods: {
    addToQueue({
      appId, ...args
    } = {}) {
      return this.app.post({
        path: `/${appId}`,
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      context: {
        run: {
          runs,
          callback_request: callbackRequest,
        },
      },
    } = $;

    const {
      app,
      addToQueue,
      appId,
      data,
      falWebhook,
      reRunEnabled,
      reRunTimeoutInSecs,
    } = this;

    if (!reRunEnabled) {
      const response = await addToQueue({
        $,
        appId,
        params: {
          fal_webhook: falWebhook,
        },
        data,
      });

      $.export("$summary", `Successfully added the request to the queue with ID \`${response.request_id}\`.`);
      return response;
    }

    if (runs === 1) {
      const timeout = 1000 * (reRunTimeoutInSecs || 10);
      const { resume_url: resumeUrl } = $.flow.rerun(timeout, null, 1);

      return addToQueue({
        $,
        appId,
        params: {
          fal_webhook: resumeUrl,
        },
        data,
      });
    }

    const response = await app.getRequestResponse({
      $,
      appId,
      requestId: callbackRequest.body?.request_id,
    });

    $.export("$summary", "Successfully retrieved the request response.");
    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
fal.ai	`app`	`app`	This component uses the fal.ai app.
App ID	`appId`	`string`	The unique identifier for the app. Eg. `lora`.
Data	`data`	`object`	Additional data to include with the request. See the documentation for more input fields.
Rerun Enabled	`reRunEnabled`	`boolean`	Enable the step to rerun to retrieve the request response. See the documentation

Action Authentication#

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