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334 lines
11 KiB
334 lines
11 KiB
/*
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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.
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Built In Validator
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myValidator = validator.NewValidator("validate", validator.BakedInValidators)
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errs := myValidator.ValidateStruct(//your struct)
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valErr := myValidator.ValidateFieldByTag(field, "omitempty,min=1,max=10")
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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 := myValidator.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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NOTE: Anonymous Structs - they don't have names so expect the Struct name
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within StructValidationErrors to be blank.
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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 us building an 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 error 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(top interface{}, current interface{}, 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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myValidator.AddFunction("custom tag name", customFunc)
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// NOTES: using the same tag name as an existing function
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// will overwrite the existing one
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Cross Field Validation
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Cross Field Validation can be implemented, for example Start & End Date range validation
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// NOTE: when calling myValidator.validateStruct(val) val will be the top level struct passed
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// into the function
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// when calling myValidator.ValidateFieldByTagAndValue(val, field, tag) val will be
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// whatever you pass, struct, field...
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// when calling myValidator.ValidateFieldByTag(field, tag) val will be nil
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//
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// Because of the specific requirements and field names within each persons project that
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// uses this library it is likely that custom functions will need to be created for your
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// Cross Field Validation needs, however there are some build in Generic Cross Field validations,
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// see Baked In Validators and Tags below
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func isDateRangeValid(val interface{}, field interface{}, param string) bool {
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myStruct := val.(myStructType)
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if myStruct.Start.After(field.(time.Time)) {
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return false
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}
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return true
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}
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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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NOTE: Baked In Cross field validation only compares fields on the same struct,
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if cross field + cross struct validation is needed your own custom validator
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should be implemented.
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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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structonly
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When a field that is a nest struct in encountered and contains this flag
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any validation on the nested struct such as "required" will be run, but
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none of the nested struct fields will be validated. This is usefull if
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inside of you program you know the struct will be valid, but need to
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verify it has been assigned.
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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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gt
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For numbers, this will ensure that the value is greater than the
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parameter given. For strings, it checks that the string length
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is greater than that number of characters. For slices, arrays
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and maps it validates the number of items. (Usage: gt=10)
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For time.Time ensures the time value is greater than time.Now.UTC()
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(Usage: gt)
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gte
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Same as 'min' above. Kept both to make terminology with 'len' easier
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(Usage: gte=10)
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For time.Time ensures the time value is greater than or equal to time.Now.UTC()
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(Usage: gte)
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lt
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For numbers, this will ensure that the value is
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less than the parameter given. For strings, it checks
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that the string length is less than that number of characters.
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For slices, arrays, and maps it validates the number of items.
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(Usage: lt=10)
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For time.Time ensures the time value is less than time.Now.UTC()
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(Usage: lt)
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lte
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Same as 'max' above. Kept both to make terminology with 'len' easier
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(Usage: lte=10)
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For time.Time ensures the time value is less than or equal to time.Now.UTC()
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(Usage: lte)
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gtfield
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Only valid for Numbers and time.Time types, this will validate the field value
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against another fields value either within a struct or passed in field.
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usage examples are for validation of a Start and End date:
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Validation on End field using ValidateByStruct Usage(gtfield=Start)
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Validating by field ValidateFieldByTagAndValue(start, end, "gtfield")
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gtefield
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Only valid for Numbers and time.Time types, this will validate the field value
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against another fields value either within a struct or passed in field.
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usage examples are for validation of a Start and End date:
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Validation on End field using ValidateByStruct Usage(gtefield=Start)
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Validating by field ValidateFieldByTagAndValue(start, end, "gtefield")
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ltfield
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Only valid for Numbers and time.Time types, this will validate the field value
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against another fields value either within a struct or passed in field.
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usage examples are for validation of a Start and End date:
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Validation on End field using ValidateByStruct Usage(ltfield=Start)
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Validating by field ValidateFieldByTagAndValue(start, end, "ltfield")
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ltefield
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Only valid for Numbers and time.Time types, this will validate the field value
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against another fields value either within a struct or passed in field.
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usage examples are for validation of a Start and End date:
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Validation on End field using ValidateByStruct Usage(ltefield=Start)
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Validating by field ValidateFieldByTagAndValue(start, end, "ltefield")
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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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url
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This validates that a strings value contains a valid url
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This will accept any url the golang request uri accepts but must contain
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a schema for example http:// or rtmp://
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(Usage: url)
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uri
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This validates that a strings value contains a valid uri
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This will accept any uri the golang request uri accepts (Usage: uri)
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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 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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within regexes.go.
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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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myValidator.ValidateStruct(t) // this will panic
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*/
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package validator
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