Create Bucket with Google Cloud API on New Requests from HTTP / Webhook API

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New Requests from the HTTP / Webhook API

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Create Bucket with the Google Cloud API

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Getting Started#

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

Select this integration
Configure the New Requests trigger
1. Optional- Configure Body Only
2. Optional- Configure Response Status Code
3. Optional- Configure Response Content-Type
4. Optional- Configure Response Body
5. Connect your HTTP / Webhook account
Configure the Create Bucket action
1. Connect your Google Cloud account
2. Configure Bucket name
3. Optional- Configure Location
4. Optional- Select a Storage class
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 Requests on HTTP / Webhook

Description:Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.

Version:0.1.1

Key:http-new-requests

View on GitHub

HTTP / Webhook Overview#

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

$A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.$

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

Trigger Code#

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

// Core HTTP component
export default {
  key: "http-new-requests",
  name: "New Requests",
  description: "Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.",
  version: "0.1.1",
  type: "source",
  props: {
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    emitBodyOnly: {
      type: "boolean",
      label: "Body Only",
      description: "This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.",
      optional: true,
      default: false,
    },
    resStatusCode: {
      type: "string",
      label: "Response Status Code",
      description: "The status code to return in the HTTP response",
      optional: true,
      default: "200",
    },
    resContentType: {
      type: "string",
      label: "Response Content-Type",
      description: "The `Content-Type` of the body returned in the HTTP response",
      optional: true,
      default: "application/json",
    },
    resBody: {
      type: "string",
      label: "Response Body",
      description: "The body to return in the HTTP response",
      optional: true,
      default: "{ \"success\": true }",
    },
    http,
  },
  async run(event) {
    const summary = `${event.method} ${event.path}`;

    this.httpInterface.respond({
      status: this.resStatusCode,
      body: this.resBody,
      headers: {
        "content-type": this.resContentType,
      },
    });

    if (this.emitBodyOnly) {
      this.$emit(event.body, {
        summary,
      });
    } else {
      this.$emit(event, {
        summary,
      });
    }
  },
};

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	`httpInterface`	`$.interface.http`	This component uses `$.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.
Body Only	`emitBodyOnly`	`boolean`	This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.
Response Status Code	`resStatusCode`	`string`	The status code to return in the HTTP response
Response Content-Type	`resContentType`	`string`	The `Content-Type` of the body returned in the HTTP response
Response Body	`resBody`	`string`	The body to return in the HTTP response
HTTP / Webhook	`http`	`app`	This component uses the HTTP / Webhook app.

Trigger Authentication#

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook#

Get a unique URL where you can send HTTP or webhook requests

Action#

Create Bucket on Google Cloud

Description:Creates a bucket on Google Cloud Storage [See the docs](https://googleapis.dev/nodejs/storage/latest/Bucket.html#create)

Version:0.0.3

Key:google_cloud-create-bucket

View on GitHub

Google Cloud Overview#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Action Code#

import googleCloud from "../../google_cloud.app.mjs";
import storageClasses from "../../utils/storageClasses.mjs";

export default {
  name: "Create Bucket",
  version: "0.0.3",
  key: "google_cloud-create-bucket",
  type: "action",
  description: "Creates a bucket on Google Cloud Storage [See the docs](https://googleapis.dev/nodejs/storage/latest/Bucket.html#create)",
  props: {
    googleCloud,
    bucketName: {
      label: "Bucket name",
      description: "The unique bucket name, Google Cloud Storage uses a flat namespace, so you can't create a bucket with a name that is already in use, [See the docs](https://cloud.google.com/storage/docs/naming-buckets)",
      type: "string",
    },
    location: {
      label: "Location",
      description: "Location of the bucket,  Defaults to 'US' [See the docs](https://cloud.google.com/storage/docs/locations)",
      type: "string",
      optional: true,
    },
    storageClass: {
      label: "Storage class",
      description: "Storage class, [See the docs](https://cloud.google.com/storage/docs/storage-classes)",
      type: "string",
      optional: true,
      default: "STANDARD",
      options: storageClasses,
    },
  },
  async run({ $ }) {
    const {
      bucketName,
      location,
      storageClass,
    } = this;
    const options = {
      location,
      storageClass,
    };
    await this.googleCloud.storageClient().createBucket(bucketName, options);
    $.export("$summary", `${bucketName} successfully created.`);
  },
};

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
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
Bucket name	`bucketName`	`string`	The unique bucket name, Google Cloud Storage uses a flat namespace, so you can't create a bucket with a name that is already in use, See the docs
Location	`location`	`string`	Location of the bucket, Defaults to 'US' See the docs
Storage class	`storageClass`	`string`	Select a value from the drop down menu:`STANDARDNEARLINECOLDLINEARCHIVE`

Action Authentication#

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

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Upload the key below.

About Google Cloud#

The Google Cloud Platform, including BigQuery

More Ways to Connect Google Cloud + HTTP / Webhook#

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