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/*
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Package validator implements value validations for structs and individual fields based on tags.
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Built In Validator
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The package contains a built in Validator instance for use,
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but you may also create a new instance if needed.
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// built in
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errs := validator.ValidateStruct(//your struct)
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errs := validator.ValidateFieldByTag(field, "omitempty,min=1,max=10")
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// new
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newValidator = validator.New("struct tag name", validator.BakedInFunctions)
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A simple example usage:
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type UserDetail {
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Details string `validate:"-"`
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}
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type User struct {
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Name string `validate:"required,max=60"`
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PreferedName string `validate:"omitempty,max=60"`
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Sub UserDetail
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}
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user := &User {
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Name: "",
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}
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// errs will contain a hierarchical list of errors
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// using the StructValidationErrors struct
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// or nil if no errors exist
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errs := validator.ValidateStruct(user)
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// in this case 1 error Name is required
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errs.Struct will be "User"
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errs.StructErrors will be empty <-- fields that were structs
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errs.Errors will have 1 error of type FieldValidationError
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Error Handling
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The error can be used like so
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fieldErr, _ := errs["Name"]
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fieldErr.Field // "Name"
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fieldErr.ErrorTag // "required"
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Both StructValidationErrors and FieldValidationError implement the Error interface but it's
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intended use is for development + debugging, not a production error message.
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fieldErr.Error() // Field validation for "Name" failed on the "required" tag
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errs.Error()
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// Struct: User
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// Field validation for "Name" failed on the "required" tag
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Why not a better error message? because this library intends for you to handle your own error messages
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Why should I handle my own errors? Many reasons, for me building and internationalized application
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I needed to know the field and what validation failed so that I could provide an error in the users specific language.
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if fieldErr.Field == "Name" {
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switch fieldErr.ErrorTag
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case "required":
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return "Translated string based on field + error"
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default:
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return "Translated string based on field"
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}
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The hierarchical structure is hard to work with sometimes.. Agreed Flatten function to the rescue!
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Flatten will return a map of FieldValidationError's but the field name will be namespaced.
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// if UserDetail Details field failed validation
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Field will be "Sub.Details"
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// for Name
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Field will be "Name"
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Custom Functions
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Custom functions can be added
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//Structure
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func customFunc(field interface{}, param string) bool {
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if whatever {
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return false
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}
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return true
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}
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validator.AddFunction("custom tag name", customFunc)
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// NOTE: using the same tag name as an existing function
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// will overwrite the existing one
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Custom Tag Name
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A custom tag name can be set to avoid conficts, or just have a shorter name
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validator.SetTag("valid")
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Multiple Validators
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Multiple validators on a field will process in the order defined
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type Test struct {
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Field `validate:"max=10,min=1"`
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}
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// max will be checked then min
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Bad Validator definitions are not handled by the library
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type Test struct {
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Field `validate:"min=10,max=0"`
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}
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// this definition of min max will never validate
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Baked In Validators and Tags
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Here is a list of the current built in validators:
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-
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Tells the validation to skip this struct field; this is particularily
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handy in ignoring embedded structs from being validated. (Usage: -)
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This is the 'or' operator allowing multiple validators to be used and
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accepted. (Usage: rbg|rgba) <-- this would allow either rgb or rgba
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colors to be accepted. This can also be combined with 'and' for example
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( Usage: omitempty,rgb|rgba)
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omitempty
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Allows conitional validation, for example if a field is not set with
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a value (Determined by the required validator) then other validation
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such as min or max won't run, but if a value is set validation will run.
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(Usage: omitempty)
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required
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This validates that the value is not the data types default value.
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For numbers ensures value is not zero. For strings ensures value is
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not "". For slices, arrays, and maps, ensures the length is not zero.
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(Usage: required)
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len
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For numbers, max will ensure that the value is
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equal to the parameter given. For strings, it checks that
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the string length is exactly that number of characters. For slices,
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arrays, and maps, validates the number of items. (Usage: len=10)
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max
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For numbers, max will ensure that the value is
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less than or equal to the parameter given. For strings, it checks
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that the string length is at most that number of characters. For
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slices, arrays, and maps, validates the number of items. (Usage: max=10)
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min
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For numbers, min will ensure that the value is
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greater or equal to the parameter given. For strings, it checks that
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the string length is at least that number of characters. For slices,
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arrays, and maps, validates the number of items. (Usage: min=10)
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alpha
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This validates that a strings value contains alpha characters only
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(Usage: alpha)
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alphanum
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This validates that a strings value contains alphanumeric characters only
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(Usage: alphanum)
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numeric
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This validates that a strings value contains a basic numeric value.
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basic excludes exponents etc...
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(Usage: numeric)
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hexadecimal
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This validates that a strings value contains a valid hexadecimal.
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(Usage: hexadecimal)
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hexcolor
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This validates that a strings value contains a valid hex color including
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hashtag (#)
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(Usage: hexcolor)
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rgb
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This validates that a strings value contains a valid rgb color
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(Usage: rgb)
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rgba
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This validates that a strings value contains a valid rgba color
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(Usage: rgba)
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hsl
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This validates that a strings value contains a valid hsl color
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(Usage: hsl)
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hsla
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This validates that a strings value contains a valid hsla color
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(Usage: hsla)
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email
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This validates that a strings value contains a valid email
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This may not conform to all possibilities of any rfc standard, but neither
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does any email provider accept all posibilities...
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(Usage: email)
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Validator notes:
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regex
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a regex validator won't be added because commas and = signs can be part of
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a regex which conflict with the validation definitions, although workarounds
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can be made, they take away from using pure regex's. Furthermore it's quick
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and dirty but the regex's become harder to maintain and are not reusable, so
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it's as much as a programming philosiphy as anything.
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In place of this new validator functions should be created; a regex can be
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used within the validator function and even be precompiled for better efficiency.
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And the best reason, you can sumit a pull request and we can keep on adding to the
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validation library of this package!
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Panics
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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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type Test struct {
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TestField string `validate:"nonexistantfunction=1"`
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}
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t := &Test{
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TestField: "Test"
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}
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validator.ValidateStruct(t) // this will panic
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*/
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package validator
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