Create Embeddings with OpenAI (ChatGPT) API on New Booking with State from Timekit API

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New Booking with State from the Timekit API

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Create Embeddings with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Booking with State trigger
1. Connect your Timekit account
2. Select a Graph Type
3. Select a Booking State
4. Optional- Configure Secret
Configure the Create Embeddings action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure Input
4. Optional- Configure User
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 Booking with State on Timekit

Description:Emit new event when a booking has a specific state. [See the docs](https://developers.timekit.io/reference/graphs).

Version:0.0.1

Key:timekit-booking-with-state

View on GitHub

Timekit Overview#

Timekit is a flexible booking and resource management API that enables developers to create and manage appointments and calendars. With Timekit, you can automate the scheduling process, sync calendars, manage bookings, and craft customized booking experiences. Using Pipedream, you can leverage Timekit to create efficient workflows that automate scheduling-related tasks, trigger actions based on calendar events, and integrate with various other services for a seamless operational ecosystem.

Trigger Code#

import timekit from "../../timekit.app.mjs";
import crypto from "crypto";

const docLink = "https://developers.timekit.io/reference/graphs";

export default {
  key: "timekit-booking-with-state",
  name: "New Booking with State",
  description: `Emit new event when a booking has a specific state. [See the docs](${docLink}).`,
  version: "0.0.1",
  type: "source",
  props: {
    timekit,
    db: "$.service.db",
    http: "$.interface.http",
    graph: {
      propDefinition: [
        timekit,
        "graph",
      ],
    },
    state: {
      propDefinition: [
        timekit,
        "state",
        (c) => ({
          graph: c.graph,
        }),
      ],
    },
    secret: {
      type: "string",
      label: "Secret",
      description: "Configured secret to verify webhook events. If left blank, no verification will be done. Navigate to API Settings > Keys and look for the last card on the page. The secret shown there is the key you'll use",
      secret: true,
      optional: true,
    },
  },
  hooks: {
    async activate() {
      console.log("Creating webhook...");
      const response = await this.timekit.createWebhook({
        data: {
          url: this.http.endpoint,
          graph: this.graph,
          state: this.state,
          method: "post",
        },
      });
      const id = response.meta.message.split("id ")[1];
      this._setWebhookId(id);
    },
    async deactivate() {
      const id = this._getWebhookId();
      await this.timekit.deleteWebhook({
        id,
      });
      console.log(`Webhook ${id} was deleted successfully`);
    },
  },
  methods: {
    _getWebhookId() {
      return this.db.get("webhookId");
    },
    _setWebhookId(id) {
      this.db.set("webhookId", id);
    },
    verifySecret(payload, header) {
      if (this.secret) {
        const hash = crypto
          .createHmac("sha256", this.secret)
          .update(payload)
          .digest("hex");
        return hash === header;
      }
      return true;
    },
  },
  async run(event) {
    if (!this.verifySecret(event.bodyRaw, event.headers["x-timekit-signature"])) {
      console.log("Secret verification has failed for the incoming event. Skipping...");
      return;
    }

    const {
      id,
      description,
      updated_at: ts,
    } = event.body;

    this.$emit(event.body, {
      id,
      summary: `New ${this.graph} booking ${this.state}: ${description}`,
      ts,
    });
  },
};

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
Timekit	`timekit`	`app`	This component uses the Timekit app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Graph Type	`graph`	`string`	Select a value from the drop down menu:`instantinstant_paymentconfirm_declinegroup_ownergroup_customergroup_customer_paymentreservation`
Booking State	`state`	`string`	Select a value from the drop down menu.
Secret	`secret`	`string`	Configured secret to verify webhook events. If left blank, no verification will be done. Navigate to API Settings > Keys and look for the last card on the page. The secret shown there is the key you'll use

Trigger Authentication#

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

You can find your app's API key in the Admin Dashboard under "API settings".

About Timekit#

Timekit lets you build scalable and flexible booking experiences and scheduling flows that grow your business.

Action#

Create Embeddings on OpenAI (ChatGPT)

Description:Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)

Version:0.0.14

Key:openai-create-embeddings

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:

Action Code#

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

export default {
  name: "Create Embeddings",
  version: "0.0.14",
  key: "openai-create-embeddings",
  description: "Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "embeddingsModelId",
      ],
    },
    input: {
      label: "Input",
      description: "Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.",
      type: "string[]",
    },
    user: common.props.user,
  },
  async run({ $ }) {
    // Confirm no element is more than 8192 tokens in length
    for (const [
      i,
      element,
    ] of this.input.entries()) {
      if (element.length > 8192) {
        throw new ConfigurationError(`Element #${i} is more than 8192 tokens in length. Each input must not exceed 8192 tokens in length.`);
      }
    }

    const response = await this.openai.createEmbeddings({
      $,
      data: {
        model: this.modelId,
        input: this.input,
      },
    });

    if (response) {
      $.export("$summary", "Successfully created embeddings");
    }

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Input	`input`	`string[]`	Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

Create Embeddings with OpenAI (ChatGPT) API on New Booking with State from Timekit API

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

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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