Upload Training Data with MonkeyLearn 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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Upload Training Data with the MonkeyLearn API

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Getting Started#

This integration creates a workflow with a RSS trigger and MonkeyLearn 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 Upload Training Data action
1. Connect your MonkeyLearn account
2. Select a Classifier Id
3. Configure Data Array
4. Optional- Select a Input Duplicates Strategy
5. Optional- Select a Existing Duplicates Strategy
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#

Upload Training Data on MonkeyLearn

Description:Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. [See the docs here](https://monkeylearn.com/api/v3/#upload-classifier-data)

Version:0.0.1

Key:monkeylearn-upload-training-data

View on GitHub

MonkeyLearn Overview#

MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.

Action Code#

import app from "../../monkeylearn.app.mjs";
import common from "../common/common.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "monkeylearn-upload-training-data",
  name: "Upload Training Data",
  description: "Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. [See the docs here](https://monkeylearn.com/api/v3/#upload-classifier-data)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    classifierId: {
      propDefinition: [
        app,
        "classifierId",
      ],
    },
    dataObjectArray: {
      propDefinition: [
        app,
        "dataObjectArray",
      ],
    },
    inputDuplicatesStrategy: {
      propDefinition: [
        app,
        "inputDuplicatesStrategy",
      ],
    },
    existingDuplicatesStrategy: {
      propDefinition: [
        app,
        "existingDuplicatesStrategy",
      ],
    },
  },
  async run({ $ }) {
    const {
      classifierId,
      dataObjectArray,
      inputDuplicatesStrategy,
      existingDuplicatesStrategy,
    } = this;
    const data = common.formatObjectArray(dataObjectArray);
    if (!data || !Array.isArray(data) || data.length === 0) {
      throw new ConfigurationError("Data must to be an array and must have at least one object.");
    }
    const params = {
      data,
      input_duplicates_strategy: inputDuplicatesStrategy,
      existing_duplicates_strategy: existingDuplicatesStrategy,
    };
    const response = await this.app.uploadClassifierTrainingData($, classifierId, params);
    $.export("$summary", "Successfully uploaded training data");
    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
MonkeyLearn	`app`	`app`	This component uses the MonkeyLearn app.
Classifier Id	`classifierId`	`string`	Select a value from the drop down menu.
Data Array	`dataObjectArray`	`string[]`	A list of data objects. Example: `[{ "text": "first text", "tags": ["tag_id_1", "tag_name"], "markers": ["any_marker", "other_marker"] }]`
Input Duplicates Strategy	`inputDuplicatesStrategy`	`string`	Select a value from the drop down menu:`{ "label": "Merge", "value": "merge" }{ "label": "Keep first", "value": "keep_first" }{ "label": "Keep last", "value": "keep_last" }`
Existing Duplicates Strategy	`existingDuplicatesStrategy`	`string`	Select a value from the drop down menu:`{ "label": "Overwrite", "value": "overwrite" }{ "label": "Ignore", "value": "ignore" }`

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Popular Triggers#

New Item in Feed from the RSS API

Emit new items from an RSS feed

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New Item From Multiple RSS Feeds from the RSS API

Emit new items from multiple RSS feeds

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Random item from multiple RSS feeds from the RSS API

Emit a random item from multiple RSS feeds

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Popular Actions#

Merge RSS Feeds with the RSS API

Retrieve multiple RSS feeds and return a merged array of items sorted by date See documentation

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Classify Text with the MonkeyLearn API

Classifies texts with a given classifier. See the docs here

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Extract Text with the MonkeyLearn API

Extracts information from texts with a given extractor. See the docs here

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Upload Training Data with the MonkeyLearn API

Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. See the docs here

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