Create Image with Azure OpenAI API on New Task Completed from InfluxDB Cloud API

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Trigger workflow on

New Task Completed from the InfluxDB Cloud API

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Create Image with the Azure OpenAI API

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Getting Started#

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

Select this integration
Configure the New Task Completed trigger
1. Connect your InfluxDB Cloud account
2. Configure timer
Configure the Create Image action
1. Connect your Azure OpenAI account
2. Configure Prompt
3. Optional- Configure N
4. Optional- Select a Size
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 Task Completed on InfluxDB Cloud

Description:Emit new event when a new task is completed. [See the documentation](https://docs.influxdata.com/influxdb3/cloud-serverless/api/v2/#operation/GetTasks)

Version:0.0.1

Key:influxdb_cloud-new-task-completed

View on GitHub

InfluxDB Cloud Overview#

Harness the power of InfluxDB Cloud API on Pipedream to build robust data workflows. InfluxDB Cloud, a time-series database, is ideal for managing high-velocity data and extracting insights in real-time. On Pipedream, you can easily trigger workflows based on InfluxDB data, automate data ingestion, and connect with countless other services to analyze, visualize, and act upon your data.

Trigger Code#

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

export default {
  ...common,
  key: "influxdb_cloud-new-task-completed",
  name: "New Task Completed",
  description: "Emit new event when a new task is completed. [See the documentation](https://docs.influxdata.com/influxdb3/cloud-serverless/api/v2/#operation/GetTasks)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.influxDbCloud.listTasks;
    },
    getResourceKey() {
      return "tasks";
    },
    getTsField() {
      return "latestCompleted";
    },
    getSummary(item) {
      return `Task ${item.name} Completed`;
    },
  },
};

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
InfluxDB Cloud	`influxDbCloud`	`app`	This component uses the InfluxDB Cloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About InfluxDB Cloud#

Focus on building software with an easy-to-use, scalable, serverless time series platform available on AWS, Azure, and Google Cloud.

Action#

Create Image on Azure OpenAI

Description:Creates an image given a prompt, and returns a URL to the image. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#image-generation)

Version:0.0.1

Key:azure_openai_service-create-image

View on GitHub

Azure OpenAI Overview#

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Action Code#

import azureOpenAI from "../../azure_openai_service.app.mjs";
import constants from "../common/constants.mjs";
const delay = (ms) => new Promise((res) => setTimeout(res, ms));

export default {
  key: "azure_openai_service-create-image",
  name: "Create Image",
  description: "Creates an image given a prompt, and returns a URL to the image. [See the documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#image-generation)",
  version: "0.0.1",
  type: "action",
  props: {
    azureOpenAI,
    prompt: {
      label: "Prompt",
      description: "A text description of the desired image(s). The maximum length is 1000 characters.",
      type: "string",
    },
    n: {
      label: "N",
      description: "The number of images to generate. Must be between 1 and 10.",
      type: "integer",
      optional: true,
      default: 1,
    },
    size: {
      label: "Size",
      description: "The size of the generated images.",
      type: "string",
      optional: true,
      options: constants.IMAGE_SIZES,
      default: "1024x1024",
    },
  },
  async run({ $ }) {
    const { id: operationId } = await this.azureOpenAI.createImage({
      data: {
        prompt: this.prompt,
        n: this.n,
        size: this.size,
      },
      $,
    });

    let response;
    do {
      response = await this.azureOpenAI.getImageResult({
        operationId,
        $,
      });
      if (response?.status === "succeeded") {
        break;
      }
      await delay(5000);
    } while (true);

    if (response.id) {
      $.export("$summary", `Successfully created image with ID ${response.id}.`);
    }

    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
Azure OpenAI	`azureOpenAI`	`app`	This component uses the Azure OpenAI app.
Prompt	`prompt`	`string`	A text description of the desired image(s). The maximum length is 1000 characters.
N	`n`	`integer`	The number of images to generate. Must be between 1 and 10.
Size	`size`	`string`	Select a value from the drop down menu:`256x256512x5121024x1024`

Action Authentication#

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

Before you start, you'll need to deploy a model in the Azure OpenAI Service.

Once that's done, enter the name of your Azure OpenAI resource, the deployment name you chose when you deployed the model, and your Azure OpenAI key below.