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godantic is a Go package that provides functionality for decoding JSON data and validating it against a given object structure. It aims to simplify the process of decoding and validating JSON input in Go applications.

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Godantic

Godantic is a Go package for inspecting and validating JSON-like data against Go struct types and schemas. It provides functionalities for checking type compatibility, structure compatibility, and other validations such as empty string, invalid time, minimum length list checks, regex pattern matching, and format validation.

Getting Started

Install the godantic package:

go get github.com/grahms/godantic

Then import it in your Go code:

import "github.com/grahms/godantic"

Simple Usage

type Person struct {
    Name *string `json:"name" binding:"required"`
    Age  *int    `json:"age"`
}

var jsonData = []byte(`{"name": "John", "age": 30}`)
var person Person

validator := godantic.Validate{}

err := validator.BindJSON(jsonData, &person)
if err != nil {
    fmt.Println(err)
}

Advanced Usage

  • Enum Validation
type Person struct {
    Name *string `json:"name" binding:"required"`
    Role *string `json:"role" enum:"admin,user"`
}

// Here, the Role field must be either 'admin' or 'user'. If it's not, an error is returned.
  • Handling Extra Fields
var jsonData = []byte(`{"name": "John", "age": 30, "extra": "extra data"}`)
var person Person

validator := godantic.Validate{}

err := validator.BindJSON(jsonData, &person)
if err != nil {
    fmt.Println(err) // This will print an error about the 'extra' field not being valid.
}
  • Custom Error Handling
type CustomError struct {
    ErrType string
    Message string
    Path    string
    err     error
}

func (e *CustomError) Error() string {
    e.err = errors.New(e.Message)
    return e.err.Error()
}

// Now you can create your own error type and return it in your custom validation functions.
  • Inspecting and Validating Structs
validator := godantic.Validate{}
err := validator.InspectStruct(&myStruct)
if err != nil {
    fmt.Println(err)
}

Nested Fields & Objects

type Address struct {
    City  *string `json:"city" binding:"required"`
    State *string `json:"state" binding:"required"`
}

type Person struct {
    Name    *string `json:"name" binding:"required"`
    Age     *int    `json:"age"`
    Address *Address `json:"address"`
}

var jsonData = []byte(`{
    "name": "John",
    "age": 30,
    "address": {
        "city": "New York",
        "state": "NY"
    }
}`)

var person Person

validator := godantic.Validate{}

err := validator.BindJSON(jsonData, &person)
if err != nil {
    fmt.Println(err)
}

In this example, the Person struct has a nested Address struct. The godantic package will validate the fields of the nested struct as well.

Lists

type Skill struct {
    Name *string `json:"name" binding:"required"`
    Level *int `json:"level"`
}

type Person struct {
    Name  *string `json:"name" binding:"required"`
    Age   *int    `json:"age"`
    Skills []Skill `json:"skills"`
}

var jsonData = []byte(`{
    "name": "John",
    "age": 30,
    "skills": [
        {
            "name": "Go",
            "level": 5
        },
        {
            "name": "Python",
            "level": 4
        }
    ]
}`)

var person Person

validator := godantic.Validate{}

err := validator.BindJSON(jsonData, &person)
if err != nil {
    fmt.Println(err)
}

In this example, the Person struct has a Skills field that is a slice of Skill structs. The godantic package will iterate over the list and validate each object in the list.

Integration with Web Frameworks

Using Godantic with Gin

Here's an example of how to use the godantic package with the Gin web framework.

package main

import (
    "github.com/gin-gonic/gin"
    "github.com/grahms/godantic"
    "net/http"
)

type User struct {
    Name    *string `json:"name" binding:"required"`
    Email   *string `json:"email" binding:"required"`
    Age     *int    `json:"age"`
}

func main() {
    r := gin.Default()

    r.POST("/user", func(c *gin.Context) {
        var user User
        validator := godantic.Validate{}

        jsonData, err := c.GetRawData()
        if err != nil {
            c.JSON(http

.StatusBadRequest, gin.H{"error": err.Error()})
            return
        }

        err = validator.BindJSON(jsonData, &user)
        if err != nil {
            c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
            return
        }

        c.JSON(http.StatusOK, gin.H{"status": "ok"})
    })

    r.Run()
}

In the example above, instead of using Gin's built-in JSON binding (c.BindJSON(&user)), we're using godantic's BindJSON function. Here are the advantages:

  1. More control over validation: godantic provides much more control over the validation process compared to Gin's built-in binding. It supports various validation methods and customizations like type compatibility checks, structure compatibility checks, and handling extra fields. You can customize these validation rules based on your needs.

  2. Detailed error reporting: godantic provides detailed error types and messages which can be very useful for debugging and for providing precise error messages to the API users. In contrast, Gin's built-in binding returns a generic "binding error".

  3. Enum Validation: godantic supports enum validation, which is not available in Gin's built-in JSON binding.

  4. Nested Fields & Objects: godantic supports validation for nested fields and objects as well as lists, which provides more flexibility and control compared to Gin's built-in binding.

Please remember that the Go's json.Unmarshal function used by godantic doesn't check for additional fields in the JSON input that are not present in the target struct. If you want to disallow additional fields, you might have to implement additional checks.

Features

  • BindJSON: Parses and validates JSON data into a provided struct. It performs type checking and structural validation against the expected schema of the provided struct.
  • InspectStruct: Iteratively inspects the fields of a struct based on their type and validates them based on certain conditions.
  • CheckTypeCompatibility: Checks if two map[string]interface{} objects (request and reference data) are compatible in terms of structure and type.

Error Types

  • REQUIRED_FIELD_ERR: Triggered when a field marked as required is not provided.
  • INVALID_ENUM_ERR: Triggered when a field value is not among the allowed enum values.
  • INVALID_FIELD_ERR: Triggered when an invalid field is provided.
  • TYPE_MISMATCH_ERR: Triggered when a field is given a value with an invalid type.
  • SYNTAX_ERR: Triggered when there is a syntax error in the JSON data.
  • INVALID_JSON_ERR: Triggered when the provided data is not valid JSON.
  • EMPTY_JSON_ERR: Triggered when the provided JSON data is empty.
  • INVALID_TIME_ERR: Triggered when a time.Time field has an invalid time value.
  • EMPTY_STRING_ERR: Triggered when a string field is empty.
  • EMPTY_LIST_ERR: Triggered when a list field is empty.
  • INVALID_REGEX_ERR: Triggered when a field value does not match the required regex pattern.
  • INVALID_FORMAT_ERR: Triggered when a field value does not match the required format.

Format Tags

The following table lists the supported format tags and their corresponding regular expressions:

Format Tag Description Example Use Case
email Email address format Validating user email addresses
url URL format Validating website URLs
date Date format (YYYY-MM-DD) Validating dates in a specific format
time Time format (HH:MM:SS) Validating times in a specific format
uuid UUID format Validating UUIDs
ip IP address format Validating IPv4 or IPv6 addresses
credit_card Credit card number format Validating credit card numbers
postal_code Postal code format Validating postal codes
phone Phone number format Validating phone numbers
ssn Social Security Number format Validating SSN
credit_card_expiry Credit card expiry date format Validating credit card expiry dates
latitude Latitude format Validating latitude coordinates
longitude Longitude format Validating longitude coordinates
hex_color Hex color format Validating hex color codes
mac_address MAC address format Validating MAC addresses
html_tag HTML tag format Validating HTML tags
mz-msisdn Mozambican phone number format Validating Mozambican phone numbers
mz-nuit Mozambican NUIT format Validating Mozambican NUIT numbers

Using the ignore Tag

The ignore tag allows you to exclude specific fields from input validation while still retaining them in the struct. This can be useful for fields representing metadata or internal information that shouldn't be validated during input but are required for other purposes.

Example

Consider a User struct with an ID field that should be excluded from input validation but retained in the struct for internal use:

package main

import (
    "fmt"
    "github.com/grahms/godantic"
)

type User struct {
    ID        int    `json:"id" binding:"ignore"` // ID field is ignored during input validation
    FirstName string `json:"first_name" binding:"required"`
    LastName  string `json:"last_name" binding:"required"`
    Email     string `json:"email" binding:"required" format:"email"`
    // Other fields...
}

func main() {
    // Example JSON data representing user input
    jsonData := []byte(`{
        "first_name": "John",
        "last_name": "Doe",
        "email": "john.doe@example.com"
        // No "id" field included
    }`)

    // Create a new instance of the validator
    validator := godantic.Validate{}

    // Create an instance of the User struct
    var user User

    // Bind and validate the JSON data against the User struct
    err := validator.BindJSON(jsonData, &user)
    if err != nil {
        fmt.Println(err)
        return
    }

    // Validation successful, process the user data
    fmt.Printf("User ID: %d\n", user.ID) // ID is still accessible despite being ignored during validation
    fmt.Printf("Name: %s %s\n", user.FirstName, user.LastName)
    fmt.Printf("Email: %s\n", user.Email)
}

In this example:

  • The ID field represents a unique identifier for the user and is marked with the ignore tag.
  • Despite being ignored during validation, the ID field remains accessible in the User struct after validation, allowing you to utilize it for internal operations or data processing.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

This README.md includes detailed information about how to use Godantic, including simple and advanced usage examples, integration with web frameworks, features, error types, supported format tags, and more. If you have any further updates or modifications, please let me know!

About

godantic is a Go package that provides functionality for decoding JSON data and validating it against a given object structure. It aims to simplify the process of decoding and validating JSON input in Go applications.

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