/* Package validator implements value validations for structs and individual fields based on tags. Built In Validator The package contains a built in Validator instance for use, but you may also create a new instance if needed. // built in errs := validator.ValidateStruct(//your struct) valErr := validator.ValidateFieldByTag(field, "omitempty,min=1,max=10") // new newValidator = validator.New("struct tag name", validator.BakedInFunctions) A simple example usage: type UserDetail { Details string `validate:"-"` } type User struct { Name string `validate:"required,max=60"` PreferedName string `validate:"omitempty,max=60"` Sub UserDetail } user := &User { Name: "", } // errs will contain a hierarchical list of errors // using the StructValidationErrors struct // or nil if no errors exist errs := validator.ValidateStruct(user) // in this case 1 error Name is required errs.Struct will be "User" errs.StructErrors will be empty <-- fields that were structs errs.Errors will have 1 error of type FieldValidationError Error Handling The error can be used like so fieldErr, _ := errs["Name"] fieldErr.Field // "Name" fieldErr.ErrorTag // "required" Both StructValidationErrors and FieldValidationError implement the Error interface but it's intended use is for development + debugging, not a production error message. fieldErr.Error() // Field validation for "Name" failed on the "required" tag errs.Error() // Struct: User // Field validation for "Name" failed on the "required" tag 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 me 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. if fieldErr.Field == "Name" { switch fieldErr.ErrorTag case "required": return "Translated string based on field + error" default: return "Translated string based on field" } The hierarchical 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. // if UserDetail Details field failed validation Field will be "Sub.Details" // for Name Field will be "Name" Custom Functions Custom functions can be added //Structure func customFunc(val interface{}, field interface{}, param string) bool { if whatever { return false } return true } validator.AddFunction("custom tag name", customFunc) // NOTES: using the same tag name as an existing function // will overwrite the existing one Cross Field Validation Cross Field Validation can be implemented, for example Start & End Date range validation // NOTE: when calling validator.validateStruct(val) val will be the top level struct passed // into the function // when calling validator.ValidateFieldByTagAndValue(val, field, tag) val will be // whatever you pass, struct, field... // when calling validator.ValidateFieldByTag(field, tag) val will be nil // // Because of the specific requirements and field names within each persons project that // uses this library it is unlikely that any baked in function for this type of validation // would be added, but you can add your own custom ones and keep all your validation logic // in one place. func isDateRangeValid(val interface{}, field interface{}, param string) bool { myStruct := val.(myStructType) if myStruct.Start.After(field.(time.Time)) { return false } return true } Custom Tag Name A custom tag name can be set to avoid conficts, or just have a shorter name validator.SetTag("valid") Multiple Validators Multiple validators on a field will process in the order defined type Test struct { Field `validate:"max=10,min=1"` } // max will be checked then min Bad Validator definitions are not handled by the library type Test struct { Field `validate:"min=10,max=0"` } // this definition of min max will never validate Baked In Validators and Tags Here is a list of the current built in validators: - Tells the validation to skip this struct field; this is particularily handy in ignoring embedded structs from being validated. (Usage: -) | This is the 'or' operator allowing multiple validators to be used and accepted. (Usage: rbg|rgba) <-- this would allow either rgb or rgba colors to be accepted. This can also be combined with 'and' for example ( Usage: omitempty,rgb|rgba) omitempty Allows conitional validation, for example if a field is not set with a value (Determined by the required validator) then other validation such as min or max won't run, but if a value is set validation will run. (Usage: omitempty) required This validates that the value is not the data types default value. For numbers ensures value is not zero. For strings ensures value is not "". For slices, arrays, and maps, ensures the length is not zero. (Usage: required) len For numbers, max will ensure that the value is equal to the parameter given. For strings, it checks that the string length is exactly that number of characters. For slices, arrays, and maps, validates the number of items. (Usage: len=10) max For numbers, max will ensure that the value is less than or equal to the parameter given. For strings, it checks that the string length is at most that number of characters. For slices, arrays, and maps, validates the number of items. (Usage: max=10) min For numbers, min will ensure that the value is greater or equal to the parameter given. For strings, it checks that the string length is at least that number of characters. For slices, arrays, and maps, validates the number of items. (Usage: min=10) gt For numbers, this will ensure that the value is greater than the parameter given. For strings, it checks that the string length is greater than that number of characters. For slices, arrays and maps it validates the number of items. (Usage: gt=10) gte Same as 'min' above. Kept both to make terminology with 'len' easier (Usage: gte=10) lt For numbers, this will ensure that the value is less than the parameter given. For strings, it checks that the string length is less than that number of characters. For slices, arrays, and maps it validates the number of items. (Usage: lt=10) lte Same as 'max' above. Kept both to make terminology with 'len' easier (Usage: lte=10) alpha This validates that a strings value contains alpha characters only (Usage: alpha) alphanum This validates that a strings value contains alphanumeric characters only (Usage: alphanum) numeric This validates that a strings value contains a basic numeric value. basic excludes exponents etc... (Usage: numeric) hexadecimal This validates that a strings value contains a valid hexadecimal. (Usage: hexadecimal) hexcolor This validates that a strings value contains a valid hex color including hashtag (#) (Usage: hexcolor) rgb This validates that a strings value contains a valid rgb color (Usage: rgb) rgba This validates that a strings value contains a valid rgba color (Usage: rgba) hsl This validates that a strings value contains a valid hsl color (Usage: hsl) hsla This validates that a strings value contains a valid hsla color (Usage: hsla) email This validates that a strings value contains a valid email This may not conform to all possibilities of any rfc standard, but neither does any email provider accept all posibilities... (Usage: email) url This validates that a strings value contains a valid url This will accept any url the golang request uri accepts but must contain a schema for example http:// or rtmp:// (Usage: url) uri This validates that a strings value contains a valid uri This will accept any uri the golang request uri accepts (Usage: uri) Validator notes: regex a regex validator won't be added because commas and = signs can be part of a regex which conflict with the validation definitions, although workarounds can be made, they take away from using pure regex's. Furthermore it's quick and dirty but the regex's become harder to maintain and are not reusable, so it's as much as a programming philosiphy as anything. In place of this new validator functions should be created; a regex can be used within the validator function and even be precompiled for better efficiency. And the best reason, you can sumit a pull request and we can keep on adding to the validation library of this package! Panics This package panics when bad input is provided, this is by design, bad code like that should not make it to production. type Test struct { TestField string `validate:"nonexistantfunction=1"` } t := &Test{ TestField: "Test" } validator.ValidateStruct(t) // this will panic */ package validator