Import Dataset with ChatBotKit API on New Item in Feed from RSS API

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Trigger workflow on

New Item in Feed from the RSS API

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Import Dataset with the ChatBotKit API

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Getting Started#

This integration creates a workflow with a RSS trigger and ChatBotKit 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 Import Dataset action
1. Connect your ChatBotKit account
2. Select a Dataset ID
3. Configure File URL
4. Configure File Name
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:1.2.7

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 { defineSource } from "@pipedream/types";
import rss from "../../app/rss.app.mjs";
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: "1.2.7",
    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#

Import Dataset on ChatBotKit

Description:Imports a specified file into the bot's dataset. [See the documentation](https://chatbotkit.com/docs/api/v1/spec)

Version:0.0.1

Key:chatbotkit-dataset-import

View on GitHub

ChatBotKit Overview#

ChatBotKit API empowers you to create and manage conversational experiences with ease. Within Pipedream, you can leverage this API to automate interactions, analyze message content, and enhance customer engagement by integrating with other apps. Think of ChatBotKit as the backbone of your chatbot logic, while Pipedream serves as the orchestrator, connecting your bot to a vast array of services, databases, and communication platforms.

Action Code#

import chatbotkit from "../../chatbotkit.app.mjs";
import axios from "axios";

export default {
  key: "chatbotkit-dataset-import",
  name: "Import Dataset",
  description: "Imports a specified file into the bot's dataset. [See the documentation](https://chatbotkit.com/docs/api/v1/spec)",
  version: "0.0.1",
  type: "action",
  props: {
    chatbotkit,
    datasetId: {
      propDefinition: [
        chatbotkit,
        "datasetId",
      ],
      description: "ID of the dataset where the file should be imported",
    },
    fileUrl: {
      type: "string",
      label: "File URL",
      description: "Web-accessible URL of the file to import",
    },
    fileName: {
      type: "string",
      label: "File Name",
      description: "File name of the new file",
    },
  },
  async run({ $ }) {
    const { id: fileId } = await this.chatbotkit.createFile({
      data: {
        name: this.fileName,
      },
      $,
    });
    try {
      await axios({
        url: `https://api.chatbotkit.com/v1/file/${fileId}/upload`,
        headers: this.chatbotkit._headers(),
        method: "POST",
        data: {
          file: this.fileUrl,
        },
      });
    } catch (e) {
      // API throws a 405 error upon upload
      console.log("File Uploaded");
    }
    const response = await this.chatbotkit.attachDatasetFile({
      datasetId: this.datasetId,
      fileId,
      data: {
        type: "source",
      },
      $,
    });
    $.export("$summary", `Successfully imported file into dataset ${this.datasetId}`);
    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
ChatBotKit	`chatbotkit`	`app`	This component uses the ChatBotKit app.
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
File URL	`fileUrl`	`string`	Web-accessible URL of the file to import
File Name	`fileName`	`string`	File name of the new file