gopkg.in/go-playground/validator.v4
Package validator implements value validations for structs and individual fields based on tags. It can also handle Cross Field validation and even Cross Field Cross Struct validation for nested structs. Built In Validator A simple example usage: The error can be used like so Both StructValidationErrors and FieldValidationError implement the Error interface but it's intended use is for development + debugging, not a production error message. Why not a better error message? because this library intends for you to handle your own error messages Why should I handle my own errors? Many reasons, for us building an internationalized application I needed to know the field and what validation failed so that I could provide an error in the users specific language. The hierarchical error structure is hard to work with sometimes.. Agreed Flatten function to the rescue! Flatten will return a map of FieldValidationError's but the field name will be namespaced. Custom functions can be added Cross Field Validation can be implemented, for example Start & End Date range validation Multiple validators on a field will process in the order defined Bad Validator definitions are not handled by the library NOTE: Baked In Cross field validation only compares fields on the same struct, if cross field + cross struct validation is needed your own custom validator should be implemented. Here is a list of the current built in validators: Validator notes: This package panics when bad input is provided, this is by design, bad code like that should not make it to production.
Readme
Package validator implements value validations for structs and individual fields based on tags.
Just use go get.
go get gopkg.in/bluesuncorp/go-validate-yourself.v4
or to update
go get -u gopkg.in/bluesuncorp/go-validate-yourself.v4
And then just import the package into your own code.
import "gopkg.in/bluesuncorp/go-validate-yourself.v4"
Please see http://godoc.org/gopkg.in/bluesuncorp/go-validate-yourself.v4 for detailed usage docs.
There will be a development branch for each version of this package i.e. v1-development, please make your pull requests against those branches.
If changes are breaking please create an issue, for discussion and create a pull request against the highest development branch for example this package has a v1 and v1-development branch however, there will also be a v2-development brach even though v2 doesn't exist yet.
I strongly encourage everyone whom creates a custom validation function to contribute them and help make this package even better.
Distributed under MIT License, please see license file in code for more details.
FAQs
Package validator implements value validations for structs and individual fields based on tags. It can also handle Cross Field validation and even Cross Field Cross Struct validation for nested structs. Built In Validator A simple example usage: The error can be used like so Both StructValidationErrors and FieldValidationError implement the Error interface but it's intended use is for development + debugging, not a production error message. Why not a better error message? because this library intends for you to handle your own error messages Why should I handle my own errors? Many reasons, for us building an internationalized application I needed to know the field and what validation failed so that I could provide an error in the users specific language. The hierarchical error structure is hard to work with sometimes.. Agreed Flatten function to the rescue! Flatten will return a map of FieldValidationError's but the field name will be namespaced. Custom functions can be added Cross Field Validation can be implemented, for example Start & End Date range validation Multiple validators on a field will process in the order defined Bad Validator definitions are not handled by the library NOTE: Baked In Cross field validation only compares fields on the same struct, if cross field + cross struct validation is needed your own custom validator should be implemented. Here is a list of the current built in validators: Validator notes: This package panics when bad input is provided, this is by design, bad code like that should not make it to production.
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