Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

fluke-api

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

fluke-api

Cloud-agnostic Python API

  • 0.5.0
  • PyPI
  • Socket score

Maintainers
1

Python Version MIT License Coverage

Fluke Logo

What is Fluke?

Fluke is a Python package that acts as a higher-level API to cloud services that primarily relate to object storage and messaging. Fluke manages to hide away much of the complexity that derives from working with said services, aiding you in completing your tasks fast and hassle-free! Fluke achieves this by:

  • Wrapping object storage services within a File/Dir API inspired by the more familiar file storage, through which you are able to interact with your data no matter where they reside, be it the local file system, a remote server, or a bucket in the cloud.

  • Greatly reducing the intricacies of working with message queues by viewing them as mere data structures that support three elementary operations, that is, push, peek, and poll.

Installation

You can start using Fluke by installing it via pip. Note that fluke requires Python >= 3.9.

pip install fluke-api

Usage Example

In this example, we will be using Fluke in order to:

  1. Poll an Amazon SQS queue every minute for new messages. Each of these messages contains the path of a newly uploaded file to an Amazon S3 bucket.
  2. Use said messages in order to locate the corresponding files and transfer them to a remote server.

First things first, we need to be able to authenticate with both AWS and the remote server. In order to achieve this, we will be importing from fluke.auth:

from fluke.auth import AWSAuth, RemoteAuth

# This object will be used to authenticate
# with AWS.
aws_auth = AWSAuth(
    aws_access_key_id="aws_access_key",
    aws_secret_access_key="aws_secret_key")

# This object will be used to authenticate
# with the remote machine.
rmt_auth = RemoteAuth.from_password(
    hostname="host",
    username="user",
    password="password")

Next, we just need to import from fluke.queues and fluke.storage so that we gain access to any necessary resources in order to perform the data transfer:

from fluke.queues import AmazonSQSQueue
from fluke.storage import AmazonS3Dir, RemoteDir

with (
    AmazonSQSQueue(auth=aws_auth, queue='queue') as queue,
    AmazonS3Dir(auth=aws_auth, bucket='bucket') as bucket,
    RemoteDir(auth=rmt_auth, path='/home/user/dir', create_if_missing=True) as rmt_dir
):
    for batch in queue.poll(polling_frequency=60):
        for msg in batch:
            bucket.get_file(path=msg).transfer_to(dst=rmt_dir)

And that's basically it!

You can learn more about Fluke by visiting the Fluke Documentation Page.

Keywords

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc