Create Export with Gigasheet API on New Batch Completed from OpenAI (ChatGPT) API

Pipedream makes it easy to connect APIs for Gigasheet, OpenAI (ChatGPT) and 2,400+ other apps remarkably fast.

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New Batch Completed from the OpenAI (ChatGPT) API

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Create Export with the Gigasheet API

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Getting Started#

This integration creates a workflow with a OpenAI (ChatGPT) trigger and Gigasheet action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Batch Completed trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
Configure the Create Export action
1. Connect your Gigasheet account
2. Select a Handle
3. Optional- Configure File name
4. Optional- Configure Folder Handle
5. Configure Grid State
6. Optional- Configure Records per File
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 Batch Completed on OpenAI (ChatGPT)

Description:Emit new event when a new batch is completed in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/batch/list)

Version:0.0.6

Key:openai-new-batch-completed

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Trigger Code#

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "openai-new-batch-completed",
  name: "New Batch Completed",
  description: "Emit new event when a new batch is completed in OpenAI. [See the documentation](https://platform.openai.com/docs/api-reference/batch/list)",
  version: "0.0.6",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    _getLastCompleted() {
      return this.db.get("lastCompleted") || 0;
    },
    _setLastCompleted(lastCompleted) {
      this.db.set("lastCompleted", lastCompleted);
    },
    getMeta(batch) {
      return {
        id: batch.id,
        summary: `Batch Completed with ID ${batch.id}`,
        ts: batch.completed_at * 1000,
      };
    },
    async getAndProcessItems(max) {
      const lastCompleted = this._getLastCompleted();
      let maxCompleted = lastCompleted;
      const results = this.openai.paginate({
        resourceFn: this.openai.listBatches,
        max,
      });
      const batches = [];
      for await (const batch of results) {
        if (batch.completed_at && batch.completed_at > lastCompleted) {
          batches.push(batch);
          maxCompleted = Math.max(batch.completed_at, maxCompleted);
        }
      }
      this._setLastCompleted(maxCompleted);
      batches.reverse().forEach((item) => this.$emit(item, this.getMeta(item)));
    },
  },
  sampleEmit,
};

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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About OpenAI (ChatGPT)#

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

Action#

Create Export on Gigasheet

Description:Creates an export for a gigasheet dataset. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export)

Version:0.0.1

Key:gigasheet-create-export

View on GitHub

Gigasheet Overview#

The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.

Action Code#

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

export default {
  key: "gigasheet-create-export",
  name: "Create Export",
  description: "Creates an export for a gigasheet dataset. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export)",
  version: "0.0.1",
  type: "action",
  props: {
    gigasheet,
    handle: {
      propDefinition: [
        gigasheet,
        "handle",
      ],
      description: "The handle of the dataset you want to export",
    },
    filename: {
      type: "string",
      label: "File name",
      optional: true,
    },
    folderHandle: {
      propDefinition: [
        gigasheet,
        "folderHandle",
      ],
      description: "Folder handle of the uploaded file",
    },
    gridState: {
      type: "object",
      label: "Grid State",
      description: "Grid state object. Values will be attempted to be parsed as JSON strings. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export) for valid properties.",
    },
    recordsPerFile: {
      type: "integer",
      label: "Records per File",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      handle,
      filename,
      folderHandle,
      gridState,
      recordsPerFile,
    } = this;

    Object.entries(gridState).forEach(([
      key,
      value,
    ]) => {
      try {
        gridState[key] = JSON.parse(value);
      } catch (err) {
        // values may be JSON strings, but not necessarily
      }
    });

    const response = await this.gigasheet.createExport({
      $,
      handle,
      data: {
        filename,
        folderHandle,
        gridState,
        recordsPerFile,
      },
    });
    $.export("$summary", "Successfully created export");
    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
Gigasheet	`gigasheet`	`app`	This component uses the Gigasheet app.
Handle	`handle`	`string`	Select a value from the drop down menu.
File name	`filename`	`string`
Folder Handle	`folderHandle`	`string`	Folder handle of the uploaded file
Grid State	`gridState`	`object`	Grid state object. Values will be attempted to be parsed as JSON strings. See the documentation for valid properties.
Records per File	`recordsPerFile`	`integer`