statuses:

Data Validator

Supports validation of data types such as:

1. Integer/Float;
2. String;
3. Map.

As well as processing the values of the keys in the Map.

Features

If the value is null and there is no required rule, then all instructions will be validated automatically.

Usage

Create validation schema

Validator v = new Validator();

NumberSchema num = v.number();
StringSchema str = v.string();
MapSchema map = v.<T,R>map();

Use rules

StringSchema strRules = str.required().minLength(3);  
boolean isValid = strRules.isValid("Some text");

// or 

boolean isValid = str.required().minLength(3).isValid("Some text"); // true

1. Integer/Float

Validation rules:

• required() - the number must not be equal to null;
• positive() - is the number positive;
• range(1, 3) - is the number in the specified range, from 1 to 3 including.

2. String

Validation rules:

• required() - the string must not be equal to null;
• contains("subStr") - the specified substring must be in the string;
• minLength(5) - the length of the string must be greater than or equal to the specified length.

2. Map

Validation rules:

• required() - the map must not be equal to null;
• sizeof(2) - the map must be of the specified size.

You can also create rules for the key value in the Map:

Validator v = new Validator();  
MapSchema<String, String> schema = v.map();  

Map<String, BaseSchema<String>> schemas = new HashMap<>();  
schemas.put("firstName", v.string().required());  
schemas.put("lastName", v.string().required().minLength(2));  

schema.shape(schemas);  

Map<String, String> human1 = new HashMap<>();  
human1.put("firstName", "John");  
human1.put("lastName", "Smith");  
schema.isValid(human1); // true

You can use:

• for keys - Integer &Float & String
• for values - Integer & String & Map