rest_api_demo | Boilerplate code for a RESTful API based on Flask-RESTPlus | REST library

by postrational Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | rest_api_demo Summary

rest_api_demo is a Python library typically used in Web Services, REST, Boilerplate, Swagger applications. rest_api_demo has no bugs, it has no vulnerabilities, it has build file available and it has low support. However rest_api_demo has a Non-SPDX License. You can download it from GitHub.

This repository contains boilerplate code for a RESTful API based on Flask and Flask-RESTPlus. The code of this demo app is described in an article on my blog:

Support

Quality

Security

License

Reuse

Support

rest_api_demo has a low active ecosystem.

It has 285 star(s) with 157 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 5 have been closed. On average issues are closed in 336 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rest_api_demo is current.

Quality

rest_api_demo has 0 bugs and 0 code smells.

Security

rest_api_demo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rest_api_demo code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

rest_api_demo 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

rest_api_demo 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.

rest_api_demo saves you 111 person hours of effort in developing the same functionality from scratch.

It has 282 lines of code, 27 functions and 15 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of rest_api_demo

Get all kandi verified functions for this library.

rest_api_demo Key Features

No Key Features are available at this moment for rest_api_demo.

rest_api_demo Examples and Code Snippets

No Code Snippets are available at this moment for rest_api_demo.

Community Discussions

Trending Discussions on rest_api_demo

Combining Flask Blueprints with Flask-JWT

sqlalchemy.orm.exc.UnmappedInstanceError: Class '__main__.User' is not mapped on Flask-SQLAlchemy

QUESTION

Combining Flask Blueprints with Flask-JWT

Asked 2019-Apr-14 at 00:00

I am developing a Flask 0.12 app with Blueprints and I am trying to use Flask-JWT (0.3.2) for authentication.

None of the tutorials that I can see for Flask-JWT use Blueprints.

There is a usually a block of code in each example, that does something like this:

...

ANSWER

Answered 2017-Feb-28 at 09:55

I've built a simple example that enables use of Flask-JWT decorators.

The file structure:

Source https://stackoverflow.com/questions/42430614

QUESTION

sqlalchemy.orm.exc.UnmappedInstanceError: Class '__main__.User' is not mapped on Flask-SQLAlchemy

Asked 2017-Mar-17 at 23:07

I just got a problem when implementing Flask-SQLAlchemy to my Flask-Restplus. It consistently show an error:

...

ANSWER

Answered 2017-Mar-17 at 23:07

im pretty sure its because you are overloading User.__init__, but you didnt call super, so do this and see if it maps:

Source https://stackoverflow.com/questions/42853712

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

Vulnerabilities

No vulnerabilities reported

Install rest_api_demo

You can download it from GitHub.
You can use rest_api_demo 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: