validictory | deprecated general purpose python data validator | Validation library
kandi X-RAY | validictory Summary
kandi X-RAY | validictory Summary
🎓 deprecated general purpose python data validator
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Top functions reviewed by kandi - BETA
- Validate additional properties
- Validate field
- Return the default value
- Validates the type of the field
- Validate field values
- Validate unknown properties
- Validates that value is divisibleBy value
- Validate that the field is present in x
- Validates that field value is greater than or equal to length
- Validates that the value is greater than or equal to length
- Validates that the value in x is greater than or equal to number of properties
- Validate that the value is less than or equal to number of properties
- Validate that field is disallowed
- Validate that value matches a regular expression
- Validate pattern properties
- Validate that value is a valid enum value
- Validates that the value is less than the specified value
- Validate additional items in field list
- Validate that the value is greater than the specified value
- Validate properties of a field
- Generate a datetime validation function
- Validates that the given field contains all dependencies
- Validate that the value is unique
- Validate data against a schema
validictory Key Features
validictory Examples and Code Snippets
Community Discussions
Trending Discussions on validictory
QUESTION
I'm trying to validate the headers of a flask request and its failing. I'm trying to use the below code to simulate the same and can see that its failing to validate the headers properly even if I miss some of the mandatory headers.
The below code is expected to fail but its passing.
...ANSWER
Answered 2021-Mar-22 at 06:02I was able to find out the reason for this issue by going through the source code of validictory.
It was passing the type validation since EnvironHeaders has both the attributes 'keys' and 'values'.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install validictory
You can use validictory 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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