Find Text in Clusters with One AI API on New Item From Multiple RSS Feeds from RSS API

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New Item From Multiple RSS Feeds from the RSS API

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Find Text in Clusters with the One AI API

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Getting Started#

This integration creates a workflow with a RSS trigger and One 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 Item From Multiple RSS Feeds trigger
1. Connect your RSS account
2. Configure timer
3. Configure Feed URLs
4. Optional- Configure Max per Feed
Configure the Find Text in Clusters action
1. Connect your One AI account
2. Select a Collection
3. Configure Text
4. Optional- Configure Multilingual
5. Optional- Configure Translate
6. Optional- Configure Similarity Threshold
7. Optional- Configure Expected Language
8. Optional- Configure Override Language Detection
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 From Multiple RSS Feeds on RSS

Description:Emit new items from multiple RSS feeds

Version:1.2.7

Key:rss-new-item-from-multiple-feeds

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-from-multiple-feeds",
    name: "New Item From Multiple RSS Feeds",
    type: "source",
    description: "Emit new items from multiple RSS feeds",
    version: "1.2.7",
    props: {
        ...rssCommon.props,
        urls: {
            propDefinition: [
                rss,
                "urls",
            ],
            description: "Enter one or multiple URLs from any public RSS feed. To avoid timeouts, 5 or less URLs is recommended.",
        },
        max: {
            type: "integer",
            label: "Max per Feed",
            description: "Maximum number of posts per feed to retrieve at one time. Defaults to 20.",
            optional: true,
            default: 20,
        },
    },
    dedupe: "unique",
    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.
            for (const url of this.urls) {
                await this.rss.fetchAndParseFeed(url);
            }
        },
    },
    async run() {
        const items = [];
        for (const url of this.urls) {
            const feedItems = (await this.rss.fetchAndParseFeed(url))?.slice(0, this.max);
            console.log(`Retrieved items from ${url}`);
            items.push(...feedItems);
        }
        this.rss.sortItems(items).forEach((item) => {
            const meta = this.generateMeta(item);
            this.$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 URLs	`urls`	`string[]`	Enter one or multiple URLs from any public RSS feed. To avoid timeouts, 5 or less URLs is recommended.
Max per Feed	`max`	`integer`	Maximum number of posts per feed to retrieve at one time. Defaults to 20.

Trigger Authentication#

The RSS API does not require authentication.

About RSS#

Real Simple Syndication

Action#

Find Text in Clusters on One AI

Description:Find clusters with a similar meaning of a given text. [See the documentation](https://docs.oneai.com/docs/find-text).

Version:0.0.1

Key:one_ai-find-text-in-clusters

View on GitHub

One AI Overview#

One AI API enables users to leverage advanced language AI to analyze and process text. On Pipedream, you can integrate One AI into serverless workflows to automate tasks like content summarization, emotion detection, or keyword extraction. By tapping into One AI's capabilities via Pipedream, you can enrich data, glean insights, and streamline content-centric operations with ease and efficiency.

Action Code#

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

export default {
  name: "Find Text in Clusters",
  description: "Find clusters with a similar meaning of a given text.  [See the documentation](https://docs.oneai.com/docs/find-text).",
  key: "one_ai-find-text-in-clusters",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    collection: {
      propDefinition: [
        app,
        "collection",
      ],
    },
    text: {
      type: "string",
      label: "Text",
      description: "Search Text",
    },
    multilingual: {
      type: "boolean",
      label: "Multilingual",
      description: "True if text is not in english",
      optional: true,
    },
    translate: {
      type: "boolean",
      label: "Translate",
      description: "Translate to English",
      optional: true,
    },
    similarityThreshold: {
      type: "string",
      label: "Similarity Threshold",
      description: "Minimum similarity of results (between 0 and 1)",
      optional: true,
    },
    expectedLanguage: {
      type: "string",
      label: "Expected Language",
      description: "Expected language of text",
      optional: true,
    },
    overrideLanguageDetection: {
      type: "boolean",
      label: "Override Language Detection",
      description: "Whether to override language detection",
      optional: true,
    },
  },
  async run({ $ }) {
    const res = await this.app.findTextInClusters(this.collection, {
      "text": this.text,
      "multilingual": this.multilingual,
      "translate": this.translate,
      "similarity_threshold": this.similarityThreshold,
      "expected-language": this.expectedLanguage,
      "override-language-detection": this.overrideLanguageDetection,
    });
    $.export("summary", `Successfully found ${res.length} cluster(s)`);
    return res;
  },
};

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
One AI	`app`	`app`	This component uses the One AI app.
Collection	`collection`	`string`	Select a value from the drop down menu.
Text	`text`	`string`	Search Text
Multilingual	`multilingual`	`boolean`	True if text is not in english
Translate	`translate`	`boolean`	Translate to English
Similarity Threshold	`similarityThreshold`	`string`	Minimum similarity of results (between 0 and 1)
Expected Language	`expectedLanguage`	`string`	Expected language of text
Override Language Detection	`overrideLanguageDetection`	`boolean`	Whether to override language detection