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@ticatec/bean-validator

v1.1.0

Published

A powerful TypeScript validation library for Node.js with data sanitization. Validate, sanitize, and transform data with rule-based validation, nested object/array support, default values, type conversion, and structured error reporting. Perfect for Expre

Readme

Bean Validator

Version License: MIT

A flexible and powerful validation library for Node.js that allows you to validate JavaScript objects through rule-based validation with data sanitization.

中文文档 | English

Features

  • Dual Module Support: Full support for both ES Modules (ESM) and CommonJS (CJS)
  • Type-safe: Built with TypeScript for full type safety
  • Data Sanitization: Automatic data cleaning and normalization (trimming, case conversion, rounding)
  • Default Values: Set default values for missing or empty fields
  • Type Conversion: Automatic type conversion (string to number, date parsing, etc.)
  • Nested Validation: Support for nested objects and arrays
  • Custom Validation: Flexible custom validation functions
  • Structured Errors: Detailed error objects for better error handling
  • Field Aliases: Use friendly field names in error messages
  • Localisation: Override any message template, partially or completely
  • Empty Means Empty: A blank form field reports "cannot be empty", not a type error
  • Built-in Logging: Failures are logged through the @ticatec/logger-api contract

Installation

npm i @ticatec/bean-validator @ticatec/logger-api

@ticatec/logger-api is a peer dependency - the zero-dependency logging contract this package writes its records against. See Logging.

Import Usage

ES Modules (ESM):

import beanValidator, { StringValidator, NumberValidator, EnumValidator } from "@ticatec/bean-validator";

CommonJS (CJS):

const beanValidator = require("@ticatec/bean-validator").default;
const { StringValidator, NumberValidator, EnumValidator } = require("@ticatec/bean-validator");

Quick Start

import beanValidator, { StringValidator, NumberValidator, EnumValidator } from "@ticatec/bean-validator";

// Define validation rules
const rules = [
    new StringValidator('email', {
        name: 'Email Address',
        required: true,
        toLowerCase: true,
        maxLen: 100
    }),
    new NumberValidator('age', {
        required: true,
        minValue: 0,
        maxValue: 120
    }),
    new EnumValidator('status', {
        defaultValue: 'active',
        values: ['active', 'inactive', 'pending']
    })
];

// Data to validate
const data = {
    email: '[email protected]',
    age: 30
};

// Perform validation
const result = beanValidator.validate(data, rules);

if (result.valid) {
    console.log('Validation passed!');
    console.log('Sanitized data:', data);
    // Output: { email: '[email protected]', age: 30, status: 'active' }
} else {
    console.log('Validation errors:', result.errors);
}

Validators

StringValidator

Validates and sanitizes string values with support for length constraints, format validation, case conversion, and configurable whitespace trimming.

Options

interface StringValidatorOptions extends ValidatorOptions {
    minLen?: number;           // Minimum length
    maxLen?: number;           // Maximum length
    format?: {
        regex: RegExp;         // Regular expression for format validation
        message: string;       // Error message when format validation fails
    };
    toLowerCase?: boolean;     // Convert to lowercase
    toUpperCase?: boolean;     // Convert to uppercase
    trim?: boolean;            // Auto-trim whitespace (default: true)
}

Examples

Basic validation:

new StringValidator('email', {
    required: true,
    maxLen: 100,
    format: {
        regex: /^[^\s@]+@[^\s@]+\.[^\s@]+$/,
        message: 'Invalid email format'
    }
});

Auto-sanitization:

new StringValidator('email', {
    toLowerCase: true  // Automatically converts to lowercase
});

new StringValidator('username', {
    toUpperCase: true  // Automatically converts to uppercase
});

NumberValidator

Validates and sanitizes numeric values with range constraints, automatic type conversion, and rounding.

Options

interface NumberValidatorOptions extends ValidatorOptions {
    minValue?: number;        // Minimum value
    maxValue?: number;        // Maximum value
    round?: number;           // Number of decimal places to keep
    roundMode?: 'ceil' | 'floor' | 'round';  // Rounding mode
}

Examples

Basic validation:

new NumberValidator('age', {
    required: true,
    minValue: 0,
    maxValue: 120
});

Rounding:

new NumberValidator('price', {
    round: 2,              // Keep 2 decimal places
    roundMode: 'round'     // Options: 'round', 'ceil', 'floor'
});

// Input: 99.876 → Output: 99.88

Auto-type conversion:

new NumberValidator('count', {
    defaultValue: 1
});

// Input: { count: "5" } → Output: { count: 5 }

Which strings are accepted

A string must be a decimal literal: an optional sign, digits, an optional decimal point and an optional exponent. The converted value is written back into the bean.

| Accepted | Rejected | |---|---| | '12', ' 12 ', '-3.5', '+7', '.5' | '12abc', '1,000', '1 2' | | '1e3'1000, '1E-2'0.01 | '0x1f', '0b101', '0o17' | | | 'Infinity', '-Infinity', 'NaN' |

Hexadecimal and binary literals are rejected deliberately: Number('0x1f') is 31, which is never what a numeric form field or JSON payload meant. Non-finite values are rejected whether they arrive as a string or as a number - an Infinity written back into the bean serialises to null and breaks a database insert.

DateValidator

Validates date values with support for date ranges and relative date constraints.

Options

interface DateValidatorOptions extends ValidatorOptions {
    from?: Date;              // Earliest allowed date
    to?: Date;                // Latest allowed date
    maxDaysBefore?: number;   // Maximum days before today
    maxDaysAfter?: number;    // Maximum days after today
}

maxDaysBefore / maxDaysAfter are whole-day boundaries, matching the whole day quoted in the error message:

  • maxDaysBefore: 10 - the earliest acceptable instant is 00:00:00.000 of the day 10 days ago, so any time on that day passes.
  • maxDaysAfter: 10 - the latest acceptable instant is 23:59:59.999 of the day 10 days ahead.

Day arithmetic goes through the calendar, not by adding 86 400 000 ms, so the boundary stays correct across a daylight-saving transition.

from and to are exact instants and are compared exactly - use those when you need finer granularity than a day.

Example

new DateValidator('birthDate', {
    required: true,
    maxDaysBefore: 36500  // Allow dates up to 100 years ago
});

new DateValidator('startsAt', {
    from: new Date('2026-06-15T12:00:00Z')  // exact instant, not the whole day
});

EnumValidator

Validates that a value exists within a predefined set of allowed values.

Options

interface EnumValidatorOptions extends ValidatorOptions {
    values: Array<any>;  // Array of allowed values
}

Example

new EnumValidator('status', {
    defaultValue: 'active',
    values: ['active', 'inactive', 'pending']
});

BooleanValidator

Validates boolean values with automatic type conversion.

Example

new BooleanValidator('isActive', {
    defaultValue: false
});

// Accepts: true, false, 0, 1, "true", "false", "1", "0"
//           (strings are trimmed and case-insensitive)
// Rejects everything else, including other numbers: 42 and "42" are both
// a type error, rather than 42 quietly becoming true.

ObjectValidator

Validates nested objects by applying validation rules to the object's properties.

Options

interface ObjectValidatorOptions extends ValidatorOptions {
    rules: Array<BaseValidator>;  // Validation rules for the nested object
}

Example

const addressRules = [
    new StringValidator('street', {required: true, maxLen: 100}),
    new StringValidator('city', {required: true, maxLen: 50}),
    new StringValidator('zipCode', {required: true, maxLen: 10})
];

new ObjectValidator('address', {
    required: true,
    rules: addressRules
});

ArrayValidator

Validates arrays with support for length constraints and element validation.

Options

interface ArrayValidatorOptions extends ValidatorOptions {
    rules?: Array<BaseValidator>;  // Validation rules for array elements
    minLen?: number;               // Minimum array length
    maxLen?: number;               // Maximum array length
}

Example

const itemRules = [
    new StringValidator('name', {required: true}),
    new NumberValidator('quantity', {required: true, minValue: 1})
];

new ArrayValidator('items', {
    required: true,
    minLen: 1,
    maxLen: 10,
    rules: itemRules
});

Common Options

All validators extend from BaseValidator and support these common options:

interface ValidatorOptions {
    required?: boolean;      // Whether the field is required
    name?: string;          // Friendly field name for error messages
    defaultValue?: any;     // Default value when field is null/undefined/empty
    check?: CustomCheck;     // Custom validation function
    ignoreWhen?: IgnoreCheck; // Conditional validation skip
}

type CustomCheck = (value: any, data: any, prefix: string | null) => any;
type IgnoreCheck = (value: any, data: any) => boolean;

Empty Values

An untouched input in an HTML form posts an empty string, not null. All validators treat that as "not filled in":

| Field state | required: true | required: false | |---|---|---| | key missing, null, undefined | cannot be empty | skipped | | '' | cannot be empty | skipped | | ' ' (whitespace only) | cannot be empty | skipped |

A field left blank is not checked against minLen, maxLen or format either - leaving an optional field empty and omitting it entirely behave the same way.

const rules = [new NumberValidator('age', { required: true })];

beanValidator.validate({ age: '' }, rules).errorMessage;
// "age: cannot be empty"   - not "age: is not a valid number"

beanValidator.validate({ age: '' }, [new NumberValidator('age', {})]).valid;
// true - an optional field left blank is simply absent

For StringValidator, leaving an optional field blank ('', or whitespace with the default trim: true) skips minLen, maxLen, and format as well. If the field is required, a blank string reports cannot be empty. With trim: false, whitespace is preserved and treated as a non-empty value that counts toward the length.

// An optional field left blank is not held to minLen or format
beanValidator.validate({ note: '' }, [new StringValidator('note', { minLen: 3 })]).valid;      // true
beanValidator.validate({ note: 'ab' }, [new StringValidator('note', { minLen: 3 })]).valid;    // false

// With trim: false, whitespace is preserved and counts toward the length
beanValidator.validate({ note: '   ' }, [new StringValidator('note', { minLen: 3, trim: false })]).valid;  // true

A defaultValue takes precedence over all of this: an empty value is replaced by the default and then validated normally.

Field Alias

Use the name option to display friendly field names in error messages:

new StringValidator('usr_email', {
    name: 'Email Address',
    required: true
});

// Error message: "Email Address: cannot be empty"

Default Values

Set default values for missing or empty fields:

new StringValidator('status', {
    defaultValue: 'active'
});

new NumberValidator('quantity', {
    defaultValue: 1,
    round: 0  // Also rounds to integer
});

Custom Validation

Add custom validation logic using the check option:

new StringValidator('username', {
    required: true,
    minLen: 3,
    maxLen: 20,
    check: (value, data, prefix) => {
        if (value.includes(' ')) {
            return 'Username cannot contain spaces';
        }
        return null; // null means validation passed
    }
});

A plain string is reported against the field the check is attached to, so error.field is usable for highlighting the right input:

beanValidator.validate({ username: 'a b' }, rules).errors;
// [ { field: 'username', message: 'Username cannot contain spaces' } ]

Return a ValidationError object instead when the problem belongs to a different field - a cross-field rule, say:

check: (value, data) => (value < data.startDate
    ? { field: 'endDate', message: 'must be after the start date' }
    : null)

Conditional Validation

Skip validation based on conditions using ignoreWhen:

new StringValidator('phone', {
    required: true,
    ignoreWhen: (value, data) => {
        // Skip phone validation if email is provided
        return !!data.email;
    }
});

Validation Results

The validation result provides both simple and structured error information:

interface ValidationResult {
    valid: boolean;              // Whether validation passed
    errorMessage: string;        // All errors as a string (backward compatible)
    errors: ValidationError[];   // Structured error array
}

interface ValidationError {
    field: string;              // Field name (or alias)
    message: string;            // Error message
}

Usage Examples

Simple error message:

if (!result.valid) {
    console.log(result.errorMessage);
    // Output:
    // Email Address: cannot be empty
    // Age: cannot be less than the minimum value 0
}

errors returns a copy of the list, so mutating the returned array does not change the result.

Structured errors:

if (!result.valid) {
    result.errors.forEach(error => {
        console.log(`${error.field}: ${error.message}`);
    });
}

// Or use in API responses:
res.status(400).json({
    errors: result.errors
});

Response format:

{
  "errors": [
    {
      "field": "Email Address",
      "message": "cannot be empty"
    },
    {
      "field": "Age",
      "message": "cannot be less than the minimum value 0"
    }
  ]
}

Advanced Features

Nested Field Access

Use dot notation to access and validate nested properties:

new StringValidator('user.profile.email', {
    name: 'Email',
    required: true,
    toLowerCase: true
});

Data Sanitization

The library automatically sanitizes data during validation:

String sanitization:

// Trims whitespace and converts case
new StringValidator('email', {
    toLowerCase: true
});
// Input: "  [email protected]  " → Output: "[email protected]"

Number sanitization:

// Converts type and rounds
new NumberValidator('price', {
    round: 2
});
// Input: "99.876" → Output: 99.88

Combined sanitization:

const rules = [
    new StringValidator('email', {
        toLowerCase: true
    }),
    new StringValidator('status', {
        defaultValue: 'active',
        toUpperCase: true
    }),
    new NumberValidator('price', {
        round: 2
    }),
    new NumberValidator('quantity', {
        defaultValue: 1,
        round: 0
    })
];

const data = {
    email: '  [email protected]  ',
    price: '99.876'
};

// Result:
// {
//   email: '[email protected]',
//   status: 'ACTIVE',
//   price: 99.88,
//   quantity: 1
// }

Localisation

Every message is a template. setLocaleMessage overrides the templates you pass and leaves the rest alone, so a partial translation is fine:

import { setLocaleMessage, resetLocaleMessage, getMessage, DEFAULT_MESSAGES } from "@ticatec/bean-validator";

setLocaleMessage({
    REQUIRED: '不能为空',
    INVALID_NUMBER: '不是有效的数字',
    STRING_LENGTH_SHORTAGE: '长度不能少于 {{minLength}} 个字符'
});

// "email: 不能为空"

Placeholders are written as {{name}} and are filled from the values the validator supplies. The full set of keys is the LocaleMessages interface; DEFAULT_MESSAGES holds the built-in English templates and is a convenient base for a translation. resetLocaleMessage() restores them, and getMessage() returns the templates currently in effect.

| Key | Default | Placeholders | |---|---|---| | REQUIRED | cannot be empty | | | INVALID_STRING | is not a valid string | | | INVALID_NUMBER | is not a valid number | | | INVALID_DATE | is not a valid date | | | INVALID_BOOLEAN | is not a valid boolean value | | | INVALID_ENUM | is not a valid value | | | STRING_LENGTH_SHORTAGE | length must be at least {{minLength}} characters | minLength | | STRING_LENGTH_EXCEED | length exceeds {{maxLength}} characters | maxLength | | NUMBER_SHORTAGE | cannot be less than the minimum value {{min}} | min | | NUMBER_EXCEED | exceeds the maximum value {{max}} | max | | EARLIEST_DATE | date cannot be earlier than {{earliestDate}} | earliestDate | | FINAL_DATE | final date cannot exceed {{latestDate}} | latestDate | | ARRAY_SHORTAGE | array must contain at least {{min}} records | min | | ARRAY_EXCEED | array exceeds {{max}} records | max | | IS_NOT_ARRAY | is not an array | | | IS_NOT_OBJECT | is not an object | |

Call it once at startup. The message set is shared by the package's CommonJS and ESM builds, so it applies however the package was loaded.

Logging

When a validation produces errors, one record is written through @ticatec/logger-api:

2026-09-18T03:36:39.945Z DEBUG [BeanValidator] Validation failed with 3 error(s) {"errors":[{"field":"Email Address","message":"cannot be empty"},{"field":"age","message":"is not a valid number"},{"field":"user.name","message":"cannot be empty"}]}

A few things worth knowing:

  • The level is debug. A validation failure is the expected outcome of handling untrusted input - the caller's problem, not a server fault - so at any real traffic volume logging it higher would drown out the records that matter. It is the same treatment @ticatec/node-exception gives a 4xx. Set LOG_LEVEL=debug when you want to see it.
  • One record per validation, not one per rule or per nesting level. ObjectValidator and ArrayValidator re-enter the validator internally; only the outermost call logs.
  • Field values are not logged - only field names and the rendered message. The exception is a message your own check callback builds, which is yours to control.
  • A failing logger cannot break validation: the failure is swallowed and the result is returned as normal.

With no provider registered, @ticatec/logger-api falls back to the console, filtered by LOG_LEVEL. To send the records to a real logger, register a provider once at startup:

import { setLoggerProvider } from '@ticatec/logger-api';
import { initialize, getPinoLogger } from '@ticatec/logger-pino';

initialize({
    appenders: [{ name: 'out', type: 'console', level: 'debug' }],
    loggers: { root: { level: 'debug', appenders: ['out'] } }
});
setLoggerProvider(getPinoLogger);

Complete Example

import beanValidator from "@ticatec/bean-validator";
import {StringValidator, NumberValidator, DateValidator, EnumValidator, ObjectValidator, ArrayValidator} from "@ticatec/bean-validator";

// Define nested validation rules
const memberRules = [
    new DateValidator('registerOn', {maxDaysAfter: -5}),
    new StringValidator('password', {
        required: true,
        format: {
            regex: /^(?=.*[a-z])(?=.*[A-Z])(?=.*\d)[A-Za-z\d]{8,}$/,
            message: 'Password must be at least 8 characters with uppercase, lowercase and numbers'
        }
    })
];

// Define main validation rules
const rules = [
    new StringValidator('name', {
        name: 'Full Name',
        required: true,
        maxLen: 50
    }),
    new NumberValidator('age', {
        required: true,
        minValue: 15,
        maxValue: 90
    }),
    new DateValidator('dob', {
        name: 'Date of Birth',
        maxDaysBefore: 100000
    }),
    new EnumValidator('gender', {
        values: ['F', 'M']
    }),
    new StringValidator('email', {
        toLowerCase: true,
        format: {
            regex: /^[^\s@]+@[^\s@]+\.[^\s@]+$/,
            message: 'Invalid email format'
        }
    }),
    new StringValidator('status', {
        defaultValue: 'active',
        toUpperCase: true
    }),
    new ObjectValidator('member', {
        rules: memberRules
    })
];

// Rules for parent with children
const parentRules = [
    ...rules,
    new ArrayValidator('children', {
        required: true,
        rules: rules
    })
];

const data = {
    name: 'John Doe',
    age: 35,
    dob: '1988-03-05',
    gender: 'M',
    email: '[email protected]',
    member: {
        registerOn: new Date('2023-01-01'),
        password: 'SecurePass123'
    },
    children: [
        {
            name: 'Jane',
            age: 16,
            dob: '2007-08-12',
            gender: 'F',
            email: '[email protected]',
            member: {
                registerOn: new Date('2023-06-01'),
                password: 'ChildPass456'
            }
        }
    ]
};

const result = beanValidator.validate(data, parentRules);

if (result.valid) {
    console.log('All validations passed!');
    console.log('Validated and sanitized data:', data);
    // Data has been sanitized:
    // - email: '[email protected]'
    // - status: 'ACTIVE'
} else {
    console.log('Validation errors:');
    result.errors.forEach(error => {
        console.log(`${error.field}: ${error.message}`);
    });
}

Express Integration Example

import express from 'express';
import beanValidator, {StringValidator, NumberValidator, EnumValidator} from '@ticatec/bean-validator';

const app = express();
app.use(express.json());

// Define validation rules
const userCreateRules = [
    new StringValidator('name', {
        name: 'Full Name',
        required: true,
        maxLen: 100
    }),
    new StringValidator('email', {
        name: 'Email Address',
        required: true,
        toLowerCase: true,
        maxLen: 100,
        format: {
            regex: /^[^\s@]+@[^\s@]+\.[^\s@]+$/,
            message: 'Invalid email format'
        }
    }),
    new NumberValidator('age', {
        required: true,
        minValue: 18,
        maxValue: 120
    }),
    new EnumValidator('status', {
        defaultValue: 'active',
        values: ['active', 'inactive']
    })
];

app.post('/users', (req, res) => {
    const result = beanValidator.validate(req.body, userCreateRules);

    if (!result.valid) {
        return res.status(400).json({
            success: false,
            errors: result.errors
        });
    }

    // Process the validated and sanitized data
    const user = createUser(req.body);
    res.status(201).json({
        success: true,
        data: user
    });
});

app.listen(3000);

API Reference

beanValidator.validate(data, rules, prefix?)

Validates data against the provided rules.

Parameters:

  • data: The object to validate. A root that is not an object (null, a primitive - a client posting a bare null JSON body, for example) is handled without throwing: writes are skipped and required fields simply report cannot be empty.
  • rules: Array of validation rules
  • prefix: Internal use for nested validation

Returns: ValidationResult

Exports

| Export | Kind | Purpose | |---|---|---| | beanValidator (default) | object | validate(data, rules, prefix?) | | StringValidator, NumberValidator, DateValidator, BooleanValidator, EnumValidator, ArrayValidator, ObjectValidator, CommonValidator | class | The validators | | BaseValidator | class | Extend it to write your own | | ValidationResult | class | The result object | | setLocaleMessage, resetLocaleMessage, getMessage, DEFAULT_MESSAGES | function / const | Message templates | | ValidationRules, ValidationError, ValidatorOptions, CustomCheck, IgnoreCheck, LocaleMessages, and every *ValidatorOptions | type | Type-only exports |

Requirements

  • Node.js: ≥18.0.0
  • Peer dependency: @ticatec/logger-api (≥1.0.0, itself dependency-free)
  • No other runtime dependencies

License

MIT

Repository

This package lives in the Keelson monorepo.

Author

Henry Feng