quart-openapi | Module for Quart to add Flask-RESTPlus like functionality | REST library

by factset Python Version: 1.7.2 License: Non-SPDX

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

kandi X-RAY | quart-openapi Summary

quart-openapi is a Python library typically used in Web Services, REST, Swagger applications. quart-openapi has no bugs, it has no vulnerabilities, it has build file available and it has low support. However quart-openapi has a Non-SPDX License. You can install using 'pip install quart-openapi' or download it from GitHub, PyPI.

Module for Quart to add Flask-RESTPlus like functionality

Support

Quality

Security

License

Reuse

Support

quart-openapi has a low active ecosystem.

It has 75 star(s) with 17 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 17 have been closed. On average issues are closed in 58 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of quart-openapi is 1.7.2

Quality

quart-openapi has 0 bugs and 27 code smells.

Security

quart-openapi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

quart-openapi code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

quart-openapi has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

quart-openapi releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 1330 lines of code, 124 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 quart-openapi and discovered the below as its top functions. This is intended to give you an instant insight into quart-openapi implemented functionality, and help decide if they suit your requirements.

Dispatch a request
Validate payload
Get expected arguments
Get the schema
Returns the contents of the rst file
Parse pip requirements file

Get all kandi verified functions for this library.

quart-openapi Key Features

No Key Features are available at this moment for quart-openapi.

quart-openapi Examples and Code Snippets

No Code Snippets are available at this moment for quart-openapi.

Community Discussions

Trending Discussions on quart-openapi

Where is a complete example of testing with pytest using Quart's extension Quart-OpenAPI?

QUESTION

Where is a complete example of testing with pytest using Quart's extension Quart-OpenAPI?

Asked 2019-Jan-31 at 16:31

I'd like to use pytest with Quart's extension quart-openapi, but the documentation examples and googling have not helped.

Where can I find a concrete, example of the pytest testing tool being used with quart-openapi?

So far I've read through these sources:

Quart's blog tutorial with testing

Quart documentation on testing

Stack Overflow question on similar tools

The project structure is:

...

ANSWER

Answered 2019-Jan-31 at 16:31

Looking at the pytest fixture docs the name you give the fixture is the name you would reference. So I'd probably change the "name" param to be 'testapp' like so:

Source https://stackoverflow.com/questions/54450601

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

Vulnerabilities

No vulnerabilities reported

Install quart-openapi

You can install using 'pip install quart-openapi' or download it from GitHub, PyPI.
You can use quart-openapi 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 .

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