Scan File for AI Detection with GPTZero: Detect AI API on New Action Created from Hive API

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Trigger workflow on

New Action Created from the Hive API

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Scan File for AI Detection with the GPTZero: Detect AI API

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Getting Started#

This integration creates a workflow with a Hive trigger and GPTZero: Detect 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 Action Created trigger
1. Connect your Hive account
2. Configure Polling interval
3. Optional- Select a Workspace Id
Configure the Scan File for AI Detection action
1. Connect your GPTZero: Detect AI account
2. Configure alert
3. Configure Files or URLs
4. Optional- Configure syncDir
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 Action Created on Hive

Description:Emit new event when a new action is created.

Version:0.0.1

Key:hive-new-action-created

View on GitHub

Hive Overview#

The Hive API allows for robust interaction with Hive's project and team management tools. By leveraging the Hive API within Pipedream, you can automate tasks, sync data across platforms, and create custom workflows that enhance productivity. For instance, you could automate project creation, update task statuses, or sync information to other business tools. Pipedream's serverless platform simplifies integration, enabling you to focus on crafting workflows without worrying about infrastructure.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "hive-new-action-created",
  name: "New Action Created",
  version: "0.0.1",
  description: "Emit new event when a new action is created.",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getFunction(hive) {
      return hive.listActions;
    },
    getSummary(actionId) {
      return `A new action with id: "${actionId}" was created!`;
    },
    getField() {
      return "createdAt";
    },
  },
};

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
Hive	`hive`	`app`	This component uses the Hive app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	Pipedream will poll the Hive on this schedule
Workspace Id	`workspaceId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Hive uses API keys for authentication. When you connect your Hive account, Pipedream securely stores the keys so you can easily authenticate to Hive APIs in both code and no-code steps.

You can get your API Key, User ID, and Workspace ID in the profile menu on the top right, then Edit Profile > API Info.

About Hive#

An all-in-one solution for software and operations to help you manage your D2C brand throughout fulfillment and beyond.

Action#

Scan File for AI Detection on GPTZero: Detect AI

Description:This endpoint takes in file(s) input and returns the model's result. [See the documentation](https://gptzero.stoplight.io/docs/gptzero-api/0a8e7efa751a6-ai-detection-on-an-array-of-files)

Version:1.0.2

Key:gptzero_detect_ai-scan-file

View on GitHub

Action Code#

import {
  ConfigurationError, getFileStreamAndMetadata,
} from "@pipedream/platform";
import FormData from "form-data";
import { parseObject } from "../../common/utils.mjs";
import gptzeroDetectAi from "../../gptzero_detect_ai.app.mjs";

export default {
  key: "gptzero_detect_ai-scan-file",
  name: "Scan File for AI Detection",
  description: "This endpoint takes in file(s) input and returns the model's result. [See the documentation](https://gptzero.stoplight.io/docs/gptzero-api/0a8e7efa751a6-ai-detection-on-an-array-of-files)",
  version: "1.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    gptzeroDetectAi,
    alert: {
      type: "alert",
      alertType: "info",
      content: `By default, the maximum number of files that can be submitted simultaneously is **50**.
      \nThe maximum file size for all files combined is **15 MB**.
      \nEach file's document will be truncated to **50,000** characters.`,
    },
    files: {
      type: "string[]",
      label: "Files or URLs",
      description: "A list of file paths from the `/tmp` directory or URLs to analyze.",
    },
    syncDir: {
      type: "dir",
      accessMode: "read",
      sync: true,
      optional: true,
    },
  },
  async run({ $ }) {
    if (this.files.length > 50) {
      throw new ConfigurationError("The maximum number of files that can be submitted simultaneously is 50.");
    }

    const data = new FormData();
    for (const file of parseObject(this.files)) {
      const {
        stream, metadata,
      } = await getFileStreamAndMetadata(file);
      data.append("files", stream, {
        filename: metadata.name,
      });
    }

    const response = await this.gptzeroDetectAi.detectFiles({
      $,
      data,
      headers: data.getHeaders(),
    });

    $.export("$summary", `Successfully scanned ${this.files.length} file(s) for AI detection`);
    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
GPTZero: Detect AI	`gptzeroDetectAi`	`app`	This component uses the GPTZero: Detect AI app.
Files or URLs	`files`	`string[]`	A list of file paths from the `/tmp` directory or URLs to analyze.
syncDir	`syncDir`	`dir`