openapi-schema-validator | OpenAPI schema validator for Python | REST library

by p1c2u Python Version: 0.4.3 License: BSD-3-Clause

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

kandi X-RAY | openapi-schema-validator Summary

openapi-schema-validator is a Python library typically used in Web Services, REST, Swagger applications. openapi-schema-validator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However openapi-schema-validator build file is not available. You can install using 'pip install openapi-schema-validator' or download it from GitHub, PyPI.

OpenAPI schema validator for Python

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Quality

Security

License

Reuse

Support

openapi-schema-validator has a low active ecosystem.

It has 53 star(s) with 24 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 16 have been closed. On average issues are closed in 116 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of openapi-schema-validator is 0.4.3

Quality

openapi-schema-validator has 0 bugs and 0 code smells.

Security

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

openapi-schema-validator code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

openapi-schema-validator is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

openapi-schema-validator releases are available to install and integrate.

Deployable package is available in PyPI.

openapi-schema-validator has no build file. You will be need to create the build yourself to build the component from source.

It has 626 lines of code, 43 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Perform a format validation
Check if instance is a valid format
Validate if any of the items in the schema match
Handle discriminator
Patch a validator with read and write context
Validate that a value is oneOfOfOf
Validate allOfOfOf

Get all kandi verified functions for this library.

openapi-schema-validator Key Features

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

openapi-schema-validator Examples and Code Snippets

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

Community Discussions

Trending Discussions on openapi-schema-validator

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

Error installing apache-airflow: "Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly"

QUESTION

PythonVirtualenvOperator using airflow module fails to execute with AttributeError: module 'airflow' has no attribute 'utils'

Asked 2021-Apr-19 at 16:33

I have Airflow deployed in virtual env and in case I try to execute PythonVirtualenvOperator with import of the Airflow module (to get Variables for example) it gives me the AttributeError. Guess I do not fully understand how Airflow executes VirtualenvOperator, and therefore what to do to overcome it, so any suggestions and insights will be highly appreciated

My test DAG code

...

ANSWER

Answered 2021-Apr-19 at 16:29

It seems that you are confusing the use-cases for PythonVirtualenvOperator and PythonOperator.

If you simply want to run a Python callable in a task (callable_virtualenv() in your case) you can use PythonOperator. In this case, it does not matter if you installed Airflow in a virtual environment, system wide, or using Docker.

What happens in your code is the following: PythonVirtualenvOperator creates another virtual environment (which is completely unrelated to the one in which you run Airflow), installs Airflow into it, and tries to import Variable. But this another Airflow installation is not configured and that is why you get those exceptions. You could set the AIRFLOW_HOME environment variable for this second Airflow installation to the same directory as used by the first Airflow installation, and this should actually work, but it looks like an overkill to me.

So, what you can do is install colorama into the same environment in which you installed Airflow and replace PythonVirtualenvOperator by PythonOperator.

BTW, those print() inside the callable would be redirected into a log file and not printed to terminal, so it probably does not make much sense to use colorama with them.

Source https://stackoverflow.com/questions/67165003

QUESTION

Error installing apache-airflow: "Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly"

Asked 2021-Mar-04 at 00:26

I'm trying to find some help installing apache-airflow.

I am on MacOS 10.15.7, Python version 3.8.2, and I keep getting an error:

ERROR: Could not build wheels for setproctitle which use PEP 517 and cannot be installed directly

I have tried using earlier versions of pip and python to no avail.

Does anyone know what I can do in this situation? I have looked at all the stack overflow questions that popped up with these search terms but none have presented a solution that worked for me so far.

Any help would be much appreciated.

...

ANSWER

Answered 2021-Mar-04 at 00:26

I am on MacOS 10.15.7 Python version 3.8.2

I'm guessing you used the Python 3 bundled/pre-installed with macOS Catalina.

Source https://stackoverflow.com/questions/66430674

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

Vulnerabilities

No vulnerabilities reported

Install openapi-schema-validator

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