swagger_spec_validator | Swagger Spec Validator is a Python library | REST library
kandi X-RAY | swagger_spec_validator Summary
kandi X-RAY | swagger_spec_validator Summary
Swagger Spec Validator is a Python library that validates Swagger Specs against the Swagger 1.2 or Swagger 2.0 specification. The validator aims to check for full compliance with the Specification.
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Top functions reviewed by kandi - BETA
- Validate the given validator
- Dereferenates the given instance and validates it
- Attaches x - scope x - scope to ref_dict
- A context manager
- Validate the default value of a property
- Validates a value against a schema
- Resolve a reference
- Context manager
- Validate a spec file
- Read data from a URL
- Return the validator for the Swagger spec
- Validate a spec
swagger_spec_validator Key Features
swagger_spec_validator Examples and Code Snippets
Community Discussions
Trending Discussions on swagger_spec_validator
QUESTION
Following the guidelines to build Debian package from a Python files powered by Flassger.
When running a build getting an error:
ImportError: No module named swagger_spec_validator.util
Which mean, that test.py
doesn't see swagger_spec_validator
.
There seem to be no Swagger related pakcages for Debian at all. Should the swagger_spec_validator
be included somewhere in debian/control
file?
ANSWER
Answered 2017-Aug-03 at 08:06If swagger is the dependency of the software you package and it is not available in Debian, You'll need to package it before. If swagger is a dependency for test suite only, you may consider modifying or disabling the test.py by creating a patch in d/patches for example..
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install swagger_spec_validator
You can use swagger_spec_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.
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