mock-s3 | Python clone of fake-s3 , A lightweight server clone

by jserver Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mock-s3 Summary

mock-s3 is a Python library. mock-s3 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A python port of Fake-S3. INSTALL: python setup.py install.

Support

Quality

Security

License

Reuse

Support

mock-s3 has a low active ecosystem.

It has 101 star(s) with 48 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 65 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mock-s3 is current.

Quality

mock-s3 has 0 bugs and 0 code smells.

Security

mock-s3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mock-s3 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mock-s3 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mock-s3 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

mock-s3 saves you 307 person hours of effort in developing the same functionality from scratch.

It has 740 lines of code, 35 functions and 17 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed mock-s3 and discovered the below as its top functions. This is intended to give you an instant insight into mock-s3 implemented functionality, and help decide if they suit your requirements.

Get a single item
Store data in a bucket
Get an item from a bucket
Load item from AWS S3
Get a bucket by name
Delete multiple items in a bucket
Delete an item in a bucket
Delete an item from a bucket
List all keys in a bucket
Get all keys in a bucket
Delete a bucket
Get all buckets
Copy an item to a bucket
Create a bucket

Get all kandi verified functions for this library.

mock-s3 Key Features

No Key Features are available at this moment for mock-s3.

mock-s3 Examples and Code Snippets

No Code Snippets are available at this moment for mock-s3.

Community Discussions

Trending Discussions on mock-s3

How to Mock Aws\S3\S3Client for phpunit // how to mock magic methods

QUESTION

How to Mock Aws\S3\S3Client for phpunit // how to mock magic methods

Asked 2022-Mar-17 at 17:53

I need to mock the S3Client in my symfony5 project to be able to provoke exceptions and test the reaction of my code to those exceptions. We use aws/aws-sdk-php version 3.*

7 Years ago someone had the same problem and I tried to follow this solution [ PHPUnit - Mock S3Client not working well ] but I get errors.

What I do at the moment:

in my service:

...

ANSWER

Answered 2022-Mar-17 at 17:52

As often it is easier to find a solution, when you know the name of your problem. I adapted the question title accordingly.

Methods defined in the header of a class, which don't really exist are called "magic methods" and with that knowledge I found a solution to my problem:

A comment under this link set me on the right track: https://carstenwindler.de/php/mocking-magic-methods-with-phpunit/

In the current version of phpunit, which is 9.5, you can use addMethods and this syntax to mock magic methods:

Source https://stackoverflow.com/questions/71497106

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mock-s3

You can download it from GitHub.
You can use mock-s3 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: