validation

ozzo-validation

Description

ozzo-validation is a Go package that provides configurable and extensible data validation capabilities. It has the following features:

• use normal programming constructs rather than error-prone struct tags to specify how data should be validated.
• can validate data of different types, e.g., structs, strings, byte slices, slices, maps, arrays.
• can validate custom data types as long as they implement the Validatable interface.
• can validate data types that implement the sql.Valuer interface (e.g. sql.NullString).
• customizable and well-formatted validation errors.
• provide a rich set of validation rules right out of box.
• extremely easy to create and use custom validation rules.

Requirements

Go 1.6 or above.

Getting Started

The ozzo-validation package mainly includes a set of validation rules and two validation methods. You use validation rules to describe how a value should be considered valid, and you call either validation.Validate() or validation.ValidateStruct() to validate the value.

Installation

Run the following command to install the package:

go get github.com/go-ozzo/ozzo-validation
go get github.com/go-ozzo/ozzo-validation/is

Validating a Simple Value

For a simple value, such as a string or an integer, you may use validation.Validate() to validate it. For example,

package main

import (
	"fmt"

	"github.com/go-ozzo/ozzo-validation"
	"github.com/go-ozzo/ozzo-validation/is"
)

func main() {
	data := "example"
	err := validation.Validate(data,
		validation.Required,       // not empty
		validation.Length(5, 100), // length between 5 and 100
		is.URL,                    // is a valid URL
	)
	fmt.Println(err)
	// Output:
	// must be a valid URL
}

The method validation.Validate() will run through the rules in the order that they are listed. If a rule fails the validation, the method will return the corresponding error and skip the rest of the rules. The method will return nil if the value passes all validation rules.

Validating a Struct Value

For a struct value, you usually want to check if its fields are valid. For example, in a RESTful application, you may unmarshal the request payload into a struct and then validate the struct fields. If one or multiple fields are invalid, you may want to get an error describing which fields are invalid. You can use validation.ValidateStruct() to achieve this purpose. A single struct can have rules for multiple fields, and a field can be associated with multiple rules. For example,

package main

import (
	"fmt"
	"regexp"

	"github.com/go-ozzo/ozzo-validation"
	"github.com/go-ozzo/ozzo-validation/is"
)

type Address struct {
	Street string
	City   string
	State  string
	Zip    string
}

func (a Address) Validate() error {
	return validation.ValidateStruct(&a,
		// Street cannot be empty, and the length must between 5 and 50
		validation.Field(&a.Street, validation.Required, validation.Length(5, 50)),
		// City cannot be empty, and the length must between 5 and 50
		validation.Field(&a.City, validation.Required, validation.Length(5, 50)),
		// State cannot be empty, and must be a string consisting of two letters in upper case
		validation.Field(&a.State, validation.Required, validation.Match(regexp.MustCompile("^[A-Z]{2}$"))),
		// State cannot be empty, and must be a string consisting of five digits
		validation.Field(&a.Zip, validation.Required, validation.Match(regexp.MustCompile("^[0-9]{5}$"))),
	)
}

func main() {
	a := Address{
		Street: "123",
		City:   "Unknown",
		State:  "Virginia",
		Zip:    "12345",
	}

	err := a.Validate()
	fmt.Println(err)
	// Output:
	// Street: the length must be between 5 and 50; State: must be in a valid format.
}

Note that when calling validation.ValidateStruct to validate a struct, you should pass to the method a pointer to the struct instead of the struct itself. Similarly, when calling validation.Field to specify the rules for a struct field, you should use a pointer to the struct field.

When the struct validation is performed, the fields are validated in the order they are specified in ValidateStruct. And when each field is validated, its rules are also evaluated in the order they are associated with the field. If a rule fails, an error is recorded for that field, and the validation will continue with the next field.

Validation Errors

The validation.ValidateStruct method returns validation errors found in struct fields in terms of validation.Errors which is a map of fields and their corresponding errors. Nil is returned if validation passes.

By default, validation.Errors uses the struct tags named json to determine what names should be used to represent the invalid fields. The type also implements the json.Marshaler interface so that it can be marshaled into a proper JSON object. For example,

type Address struct {
	Street string `json:"street"`
	City   string `json:"city"`
	State  string `json:"state"`
	Zip    string `json:"zip"`
}

// ...perform validation here...

err := a.Validate()
b, _ := json.Marshal(err)
fmt.Println(string(b))
// Output:
// {"street":"the length must be between 5 and 50","state":"must be in a valid format"}

You may modify validation.ErrorTag to use a different struct tag name.

If you do not like the magic that ValidateStruct determines error keys based on struct field names or corresponding tag values, you may use the following alternative approach:

c := Customer{
	Name:  "Qiang Xue",
	Email: "q",
	Address: Address{
		State:  "Virginia",
	},
}

err := validation.Errors{
	"name": validation.Validate(c.Name, validation.Required, validation.Length(5, 20)),
	"email": validation.Validate(c.Name, validation.Required, is.Email),
	"zip": validation.Validate(c.Address.Zip, validation.Required, validation.Match(regexp.MustCompile("^[0-9]{5}$"))),
}.Filter()
fmt.Println(err)
// Output:
// email: must be a valid email address; zip: cannot be blank.

In the above example, we build a validation.Errors by a list of names and the corresponding validation results. At the end we call Errors.Filter() to remove from Errors all nils which correspond to those successful validation results. The method will return nil if Errors is empty.

The above approach is very flexible as it allows you to freely build up your validation error structure. You can use it to validate both struct and non-struct values. Compared to using ValidateStruct to validate a struct, it has the drawback that you have to redundantly specify the error keys while ValidateStruct can automatically find them out.

Validatable Types

A type is validatable if it implements the validation.Validatable interface.

When validation.Validate is used to validate a validatable value, if it does not find any error with the given validation rules, it will further call the value's Validate() method.

Similarly, when validation.ValidateStruct is validating a struct field whose type is validatable, it will call the field's Validate method after it passes the listed rules.

In the following example, the Address field of Customer is validatable because Address implements validation.Validatable. Therefore, when validating a Customer struct with validation.ValidateStruct, validation will "dive" into the Address field.

type Customer struct {
	Name    string
	Gender  string
	Email   string
	Address Address
}

func (c Customer) Validate() error {
	return validation.ValidateStruct(&c,
		// Name cannot be empty, and the length must be between 5 and 20.
		validation.Field(&c.Name, validation.Required, validation.Length(5, 20)),
		// Gender is optional, and should be either "Female" or "Male".
		validation.Field(&c.Gender, validation.In("Female", "Male")),
		// Email cannot be empty and should be in a valid email format.
		validation.Field(&c.Email, validation.Required, is.Email),
		// Validate Address using its own validation rules
		validation.Field(&c.Address),
	)
}

c := Customer{
	Name:  "Qiang Xue",
	Email: "q",
	Address: Address{
		Street: "123 Main Street",
		City:   "Unknown",
		State:  "Virginia",
		Zip:    "12345",
	},
}

err := c.Validate()
fmt.Println(err)
// Output:
// Address: (State: must be in a valid format.); Email: must be a valid email address.

Sometimes, you may want to skip the invocation of a type's Validate method. To do so, simply associate a validation.Skip rule with the value being validated.

Maps/Slices/Arrays of Validatables

When validating a map, slice, or array, whose element type implements the validation.Validatable interface, the validation.Validate method will call the Validate method of every non-nil element. The validation errors of the elements will be returned as validation.Errors which maps the keys of the invalid elements to their corresponding validation errors. For example,

addresses := []Address{
	Address{State: "MD", Zip: "12345"},
	Address{Street: "123 Main St", City: "Vienna", State: "VA", Zip: "12345"},
	Address{City: "Unknown", State: "NC", Zip: "123"},
}
err := validation.Validate(addresses)
fmt.Println(err)
// Output:
// 0: (City: cannot be blank; Street: cannot be blank.); 2: (Street: cannot be blank; Zip: must be in a valid format.).

When using validation.ValidateStruct to validate a struct, the above validation procedure also applies to those struct fields which are map/slices/arrays of validatables.

Pointers

When a value being validated is a pointer, most validation rules will validate the actual value pointed to by the pointer. If the pointer is nil, these rules will skip the validation.

An exception is the validation.Required and validation.NotNil rules. When a pointer is nil, they will report a validation error.

Types Implementing sql.Valuer

If a data type implements the sql.Valuer interface (e.g. sql.NullString), the built-in validation rules will handle it properly. In particular, when a rule is validating such data, it will call the Value() method and validate the returned value instead.

Required vs. Not Nil

When validating input values, there are two different scenarios about checking if input values are provided or not.

In the first scenario, an input value is considered missing if it is not entered or it is entered as a zero value (e.g. an empty string, a zero integer). You can use the validation.Required rule in this case.

In the second scenario, an input value is considered missing only if it is not entered. A pointer field is usually used in this case so that you can detect if a value is entered or not by checking if the pointer is nil or not. You can use the validation.NotNil rule to ensure a value is entered (even if it is a zero value).

Built-in Validation Rules

The following rules are provided in the validation package:

• In(...interface{}): checks if a value can be found in the given list of values.
• Length(min, max int): checks if the length of a value is within the specified range. This rule should only be used for validating strings, slices, maps, and arrays.
• Min(min interface{}) and Max(max interface{}): checks if a value is within the specified range. These two rules should only be used for validating int, uint, float and time.Time types.
• Match(*regexp.Regexp): checks if a value matches the specified regular expression. This rule should only be used for strings and byte slices.
• Date(layout string): checks if a string value is a date whose format is specified by the layout. By calling Min() and/or Max(), you can check additionally if the date is within the specified range.
• Required: checks if a value is not empty (neither nil nor zero).
• NotNil: checks if a pointer value is not nil. Non-pointer values are considered valid.
• Skip: this is a special rule used to indicate that all rules following it should be skipped (including the nested ones).

The is sub-package provides a list of commonly used string validation rules that can be used to check if the format of a value satisfies certain requirements. Note that these rules only handle strings and byte slices and if a string or byte slice is empty, it is considered valid. You may use a Required rule to ensure a value is not empty. Below is the whole list of the rules provided by the is package:

• Email: validates if a string is an email or not
• URL: validates if a string is a valid URL
• RequestURL: validates if a string is a valid request URL
• RequestURI: validates if a string is a valid request URI
• Alpha: validates if a string contains English letters only (a-zA-Z)
• Digit: validates if a string contains digits only (0-9)
• Alphanumeric: validates if a string contains English letters and digits only (a-zA-Z0-9)
• UTFLetter: validates if a string contains unicode letters only
• UTFDigit: validates if a string contains unicode decimal digits only
• UTFLetterNumeric: validates if a string contains unicode letters and numbers only
• UTFNumeric: validates if a string contains unicode number characters (category N) only
• LowerCase: validates if a string contains lower case unicode letters only
• UpperCase: validates if a string contains upper case unicode letters only
• Hexadecimal: validates if a string is a valid hexadecimal number
• HexColor: validates if a string is a valid hexadecimal color code
• RGBColor: validates if a string is a valid RGB color in the form of rgb(R, G, B)
• Int: validates if a string is a valid integer number
• Float: validates if a string is a floating point number
• UUIDv3: validates if a string is a valid version 3 UUID
• UUIDv4: validates if a string is a valid version 4 UUID
• UUIDv5: validates if a string is a valid version 5 UUID
• UUID: validates if a string is a valid UUID
• CreditCard: validates if a string is a valid credit card number
• ISBN10: validates if a string is an ISBN version 10
• ISBN13: validates if a string is an ISBN version 13
• ISBN: validates if a string is an ISBN (either version 10 or 13)
• JSON: validates if a string is in valid JSON format
• ASCII: validates if a string contains ASCII characters only
• PrintableASCII: validates if a string contains printable ASCII characters only
• Multibyte: validates if a string contains multibyte characters
• FullWidth: validates if a string contains full-width characters
• HalfWidth: validates if a string contains half-width characters
• VariableWidth: validates if a string contains both full-width and half-width characters
• Base64: validates if a string is encoded in Base64
• DataURI: validates if a string is a valid base64-encoded data URI
• CountryCode2: validates if a string is a valid ISO3166 Alpha 2 country code
• CountryCode3: validates if a string is a valid ISO3166 Alpha 3 country code
• DialString: validates if a string is a valid dial string that can be passed to Dial()
• MAC: validates if a string is a MAC address
• IP: validates if a string is a valid IP address (either version 4 or 6)
• IPv4: validates if a string is a valid version 4 IP address
• IPv6: validates if a string is a valid version 6 IP address
• DNSName: validates if a string is valid DNS name
• Host: validates if a string is a valid IP (both v4 and v6) or a valid DNS name
• Port: validates if a string is a valid port number
• MongoID: validates if a string is a valid Mongo ID
• Latitude: validates if a string is a valid latitude
• Longitude: validates if a string is a valid longitude
• SSN: validates if a string is a social security number (SSN)
• Semver: validates if a string is a valid semantic version

Customizing Error Messages

All built-in validation rules allow you to customize error messages. To do so, simply call the Error() method of the rules. For example,

data := "2123"
err := validation.Validate(data,
	validation.Required.Error("is required"),
	validation.Match(regexp.MustCompile("^[0-9]{5}$")).Error("must be a string with five digits"),
)
fmt.Println(err)
// Output:
// must be a string with five digits

Creating Custom Rules

Creating a custom rule is as simple as implementing the validation.Rule interface. The interface contains a single method as shown below, which should validate the value and return the validation error, if any:

// Validate validates a value and returns an error if validation fails.
Validate(value interface{}) error

If you already have a function with the same signature as shown above, you can call validation.By() to turn it into a validation rule. For example,

func checkAbc(value interface{}) error {
	s, _ := value.(string)
	if s != "abc" {
		return errors.New("must be abc")
	}
	return nil
})

err := validation.Validate("xyz", validation.By(checkAbc))
fmt.Println(err)
// Output: must be abc

Rule Groups

When a combination of several rules are used in multiple places, you may use the following trick to create a rule group so that your code is more maintainable.

var NameRule = []validation.Rule{
	validation.Required,
	validation.Length(5, 20),
}

type User struct {
	FirstName string
	LastName  string
}

func (u User) Validate() error {
	return validation.ValidateStruct(&u,
		validation.Field(&u.FirstName, NameRule...),
		validation.Field(&u.LastName, NameRule...),
	)
}

In the above example, we create a rule group NameRule which consists of two validation rules. We then use this rule group to validate both FirstName and LastName.

Credits

The is sub-package wraps the excellent validators provided by the govalidator package.