DigitalOcean Spaces

Highly scalable and affordable object storage.

Integrate the DigitalOcean Spaces API with the Python API

Setup the DigitalOcean Spaces API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate DigitalOcean Spaces and Python remarkably fast. Free for developers.

Run Python Code with Python API on File Deleted from DigitalOcean Spaces API
DigitalOcean Spaces + Python
 
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Run Python Code with Python API on New File Uploaded from DigitalOcean Spaces API
DigitalOcean Spaces + Python
 
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File Deleted from the DigitalOcean Spaces API

Emit new event when a file is deleted from a DigitalOcean Spaces bucket

 
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New File Uploaded from the DigitalOcean Spaces API

Emit new event when a file is uploaded to a DigitalOcean Spaces bucket

 
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Delete Files with the DigitalOcean Spaces API

Delete files in a bucket. See the docs.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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List Files with the DigitalOcean Spaces API

List files in a bucket. See the docs.

 
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Upload File /tmp with the DigitalOcean Spaces API

Accepts a file path starting from /tmp, then uploads as a file to DigitalOcean Spaces. See the docs.

 
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Upload File Base64 with the DigitalOcean Spaces API

Accepts a base64-encoded string and a filename, then uploads as a file to DigitalOcean Spaces. See the docs.

 
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Connect DigitalOcean Spaces

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import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand  } from "@aws-sdk/client-s3";

export default defineComponent({
  props: {
    digitalocean_spaces: {
      type: "app",
      app: "digitalocean_spaces"
    }
  },
  async run({ steps, $ }) {
    console.log(this.digitalocean_spaces.$auth)
    const s3Client = new S3({
        forcePathStyle: false, // Configures to use subdomain/virtual calling format.
        endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
        region: "us-east-1",
        credentials: {
          accessKeyId: this.digitalocean_spaces.$auth.key,
          secretAccessKey: this.digitalocean_spaces.$auth.secret
        }
    });

    const data = await s3Client.send(new ListBucketsCommand({}));
    return data.Buckets;
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}