Image Anonymization with api4ai API on New Item in Feed from RSS API

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New Item in Feed from the RSS API

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Image Anonymization with the api4ai API

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Getting Started#

This integration creates a workflow with a RSS trigger and api4ai action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Item in Feed trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URL
4. Configure Published After
Configure the Image Anonymization action
1. Connect your api4ai account
2. Configure alert
3. Configure Image
4. Optional- Select a Result image representation
5. Optional- Select a Objects to hide
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 Item in Feed on RSS

Description:Emit new items from an RSS feed

Version:1.2.6

Key:rss-new-item-in-feed

View on GitHub

RSS Overview#

The RSS app allows users to automatically fetch and parse updates from web feeds. This functionality is pivotal for staying abreast of content changes or updates from websites, blogs, and news outlets that offer RSS feeds. With Pipedream, you can harness the RSS API to trigger workflows that enable a broad range of automations, like content aggregation, monitoring for specific keywords, notifications, and data synchronization across platforms.

Trigger Code#

import rss from "../../app/rss.app.mjs";
import { defineSource } from "@pipedream/types";
import rssCommon from "../common/common.mjs";
export default defineSource({
    ...rssCommon,
    key: "rss-new-item-in-feed",
    name: "New Item in Feed",
    description: "Emit new items from an RSS feed",
    version: "1.2.6",
    type: "source",
    dedupe: "unique",
    props: {
        ...rssCommon.props,
        url: {
            propDefinition: [
                rss,
                "url",
            ],
        },
        publishedAfter: {
            type: "string",
            label: "Published After",
            description: "Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`",
            default: new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString(), // default to one day ago
        },
    },
    hooks: {
        async activate() {
            // Try to parse the feed one time to confirm we can fetch and parse.
            // The code will throw any errors to the user.
            await this.rss.fetchAndParseFeed(this.url);
        },
    },
    methods: {
        ...rssCommon.methods,
        generateMeta: function (item) {
            return {
                id: this.rss.itemKey(item),
                summary: item.title,
                ts: Date.now(),
            };
        },
    },
    async run() {
        const items = await this.rss.fetchAndParseFeed(this.url);
        for (const item of items.reverse()) {
            const publishedAfter = +new Date(this.publishedAfter);
            const ts = this.rss.itemTs(item);
            if (Number.isNaN(publishedAfter) || publishedAfter > ts) {
                continue;
            }
            const meta = this.generateMeta(item);
            this.$emit(item, meta);
        }
    },
});

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
RSS	`rss`	`app`	This component uses the RSS app.
	`timer`	`$.interface.timer`	How often you want to poll the feed for new items
Feed URL	`url`	`string`	Enter the URL for any public RSS feed
Published After	`publishedAfter`	`string`	Emit items published after the specified date in ISO 8601 format .e.g `2022-12-07T12:57:10+07:00`

Trigger Authentication#

The RSS API does not require authentication.

About RSS#

Real Simple Syndication

Action#

Image Anonymization on api4ai

Description:Performs actual image anonymization. Powered by API4AI.

Version:0.0.1

Key:api4ai-image-anonymization

View on GitHub

Image Anonymization Overview#

⭐️ Image Anonymization – is a high-Accuracy solution for automatic detection and blurring of sensitive areas in images. Cloud-based Image Anonymization API detects and blurs faces and license plates in photos, ensuring sensitive information remains unrecognizable for secure privacy protection.

image-anonymization

🤖 Demo

Discover the Image Anonymization Web demo for free and get a feel for its capabilities before diving deeper. No registration is required: https://api4.ai/apis/image-anonymization/#demo-wrapper

Action Code#

import app from "../../api4ai.app.mjs";
import {
  retryWithExponentialBackoff, representFile,
} from "../../common/utils.mjs";

export default {
  name: "Image Anonymization",
  description: "Performs actual image anonymization. Powered by API4AI.",
  key: "api4ai-image-anonymization",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Image Anonymization](https://rapidapi.com/api4ai-api4ai-default/api/image-anonymization/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
    representation: {
      type: "string",
      label: "Result image representation",
      description:
        "Return the result image as:\n  * **path** to a file (default)\n  * **URL** to a file hosted by api4ai (valid for 1 day)\n  * **Base64** string with file's content\n  * **Buffer** encoded in JSON with a file's content\n  * **Array** of bytes with a file's content",
      default: "Path to file",
      optional: true,
      options: [
        "Path to file",
        "URL to file",
        "Base64 string",
        "JSON Buffer",
        "Array",
      ],
    },
    mode: {
      type: "string",
      label: "Objects to hide",
      description: "Select objects which you would like to hide.",
      default: "Everything",
      optional: true,
      options: [
        "Everything",
        "Faces only",
        "Licence plates only",
      ],
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let result = "";
    let format = "";
    const objects = [];
    let width = 0;
    let height = 0;

    // Prepare query params.
    const params = {};
    if (this.mode == "Faces only") {
      params.mode = "hide-face";
    }
    else if (this.mode == "Licence plates only") {
      params.mode = "hide-clp";
    }
    params.representation = this.representation == "URL to file"
      ? "url"
      : "base64";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://image-anonymization.p.rapidapi.com/v1/results",
        this.image,
        params,
      );
    const response = await retryWithExponentialBackoff(cb);
    const isOk = response?.results?.[0]?.status?.code === "ok";
    summary = response?.results?.[0]?.status?.message || JSON.stringify(response);
    if (isOk) {
      result = response.results[0].entities[0].image;
      const rawObjects = response.results[0].entities[1].objects;
      rawObjects.forEach(function (o) {
        const box = {
          x: o.box[0],
          y: o.box[1],
          w: o.box[2],
          h: o.box[3],
        };
        const cls = Object.keys(o.entities[0].classes)[0];
        objects.push({
          class: cls,
          box: box,
        });
      });
      format = response.results[0].entities[0].format;
      result = representFile(result, format, this.representation);
      width = response.results[0].width;
      height = response.results[0].height;
    }
    else {
      throw new Error(summary);
    }

    $.export("$summary", summary);
    $.export("result", result);
    $.export("format", format);
    $.export("objects", objects);
    $.export("width", width);
    $.export("height", height);
  },
};

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
api4ai	`app`	`app`	This component uses the api4ai app.
Image	`image`	`string`	Input image. Various types are accepted: a path to a file a URL to a file a file's content encoded as a base64 string a file's content as a Buffer encoded in JSON a file's content as an Array of bytes
Result image representation	`representation`	`string`	Select a value from the drop down menu:`Path to fileURL to fileBase64 stringJSON BufferArray`
Objects to hide	`mode`	`string`	Select a value from the drop down menu:`EverythingFaces onlyLicence plates only`