Process CSV Files with Thoughtful GPT API on npm Download Counts from npm API

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npm Download Counts from the npm API

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Process CSV Files with the Thoughtful GPT API

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Getting Started#

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

Select this integration
Configure the npm Download Counts trigger
1. Configure timer
2. Select a Period
3. Optional- Configure Package
4. Connect your npm account
Configure the Process CSV Files action
1. Connect your Thoughtful GPT account
2. Configure CSV Data
3. Configure Process
4. Configure Prompt
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#

npm Download Counts on npm

Description:Emit an event with the latest count of downloads for an npm package

Version:0.0.2

Key:npm-download-counts

View on GitHub

Trigger Code#

const npm = require("../../npm.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");
const axios = require("axios");

module.exports = {
  key: "npm-download-counts",
  name: "npm Download Counts",
  description: "Emit an event with the latest count of downloads for an npm package",
  version: "0.0.2",
  type: "source",
  props: {
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    package: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
      default: "@pipedreamhq/platform",
    },
    npm,
  },
  async run() {
    const npm_event = (await axios({
      method: "get",
      url: `https://api.npmjs.org/downloads/point/${encodeURIComponent(this.period)}/${encodeURIComponent(this.package)}`,
    })).data;
    this.$emit(npm_event, {
      summary: "" + npm_event.downloads,
    });
  },
};

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
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Period	`period`	`string`	Select a value from the drop down menu:`last-daylast-weeklast-month`
Package	`package`	`string`	Enter an npm package name. Leave blank for all
npm	`npm`	`app`	This component uses the npm app.

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

Action#

Process CSV Files on Thoughtful GPT

Description:Analyzes provided CSV data, generates queries, and creates data visualizations. [See the documentation](https://docs.thoughtfulgpt.com/thoughtfulgpt-documentation/product-guide/api-reference)

Version:0.0.1

Key:thoughtful_gpt-process-csv-files

View on GitHub

Thoughtful GPT Overview#

The Thoughtful GPT API lets you integrate advanced natural language processing into your workflows on Pipedream. Tap into the power of generative AI to create content, analyze text, or automate responses. With Pipedream, harness this API in serverless workflows that trigger from numerous events and connect to other apps for expanded functionality.

Action Code#

import thoughtfulgpt from "../../thoughtful_gpt.app.mjs";

export default {
  key: "thoughtful_gpt-process-csv-files",
  name: "Process CSV Files",
  description: "Analyzes provided CSV data, generates queries, and creates data visualizations. [See the documentation](https://docs.thoughtfulgpt.com/thoughtfulgpt-documentation/product-guide/api-reference)",
  version: "0.0.1",
  type: "action",
  props: {
    thoughtfulgpt,
    csvData: {
      type: "string",
      label: "CSV Data",
      description: "The CSV data to be analyzed",
    },
    process: {
      type: "string",
      label: "Process",
      description: "Type of process to be executed on CSV data",
    },
    prompt: {
      type: "string",
      label: "Prompt",
      description: "Prompt for the data processing",
    },
  },
  async run({ $ }) {
    const response = await this.thoughtfulgpt.analyzeCSV({
      $,
      data: {
        csv_data: this.csvData,
        process: this.process,
        prompt: this.prompt,
      },
    });
    $.export("$summary", "Successfully processed CSV 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
Thoughtful GPT	`thoughtfulgpt`	`app`	This component uses the Thoughtful GPT app.
CSV Data	`csvData`	`string`	The CSV data to be analyzed
Process	`process`	`string`	Type of process to be executed on CSV data
Prompt	`prompt`	`string`	Prompt for the data processing