use-filter-criteria

A TypeScript-based filtering engine that provides a flexible, type-safe way to filter complex data structures using declarative criteria. Perfect for building advanced search interfaces, data filtering systems, or query builders.

Features

• 🎯 Type-Safe: Built with TypeScript and Zod for runtime type validation
• 🔄 Multiple Data Types: Support for arrays, booleans, dates, geographic coordinates, maps, numbers, objects, sets, and strings
• 🎨 Rich Operators: Comprehensive set of comparison and logical operators
• 🌐 Internationalization-Ready: Built-in string normalization (accents, case, etc.)
• 🔍 Complex Queries: Support for nested AND/OR logic combinations
• 🌳 Deep Path Resolution: Supports searching through arrays and nested structures with automatic path resolution (e.g. ['users', 'addresses', 'location'] will search through all user addresses)
• 📍 Geospatial: Built-in support for geographic radius searches, with flexible coordinate formats (object or tuple notation) and array traversal support for finding coordinates in nested data structures
• 🛠️ Criteria Mapping: Dynamic criteria modification during evaluation through the criteriaMapper function
• ⚡ Aliases: Save and reuse criteria configurations with the ability to override properties when referenced
• 🎛️ Flexible: Customizable default values and source path resolution
• 🔄 Dynamic Values: Support for dynamic value resolution using $path and custom functions
• 📊 Detailed Logging: Detailed diagnostics for understanding filter results
• 🎯 Array Matching Control: Fine-grained control over array matching behavior with matchInArray option

Installation

npm install use-filter-criteria
# or
yarn add use-filter-criteria

Quick Start

import FilterCriteria from 'use-filter-criteria';

const filter = new FilterCriteria();

// Example data
const users = [
	{
		id: 1,
		name: 'John Doe',
		age: 30,
		addresses: [
			{ type: 'home', location: { lat: 40.7128, lng: -74.006 } },
			{ type: 'work', location: { lat: 40.758, lng: -73.9855 } }
		],
		skills: new Set(['typescript', 'react']),
		roles: ['admin', 'developer'],
		active: true,
		lastLogin: '2024-01-01T00:00:00Z',
		location: { lat: 40.7128, lng: -74.006 }, // location can also be specified as tuple: [40.7128, -74.006],
		metadata: new Map([['level', 'senior']])
	}
	// ... more users
];

// Simple number comparison
const ageCriteria = FilterCriteria.criteria({
	type: 'NUMBER',
	operator: 'GREATER',
	valuePath: ['age'],
	matchValue: 25
});

// Example using path inside array
const locationCriteria = FilterCriteria.criteria({
	type: 'GEO',
	operator: 'IN-RADIUS',
	valuePath: ['addresses', 'location'], // Will check all locations in the addresses array
	matchValue: {
		lat: 40.7128,
		lng: -74.006,
		radius: 5,
		unit: 'km'
	}
});

// Example using matchInArray: true (default)
const rolesStartsWithCriteria = FilterCriteria.criteria({
	type: 'STRING',
	matchInArray: true,
	operator: 'STARTS-WITH',
	valuePath: ['roles'],
	matchValue: 'adm'
});

// Example using matchInArray: false
const rolesEqualsCriteria = FilterCriteria.criteria({
	type: 'STRING',
	matchInArray: false,
	operator: 'EQUALS',
	valuePath: ['roles'],
	matchValue: 'adm'
});

// Complex multi-criteria filter
const complexFilterGroup = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'SET',
					operator: 'INCLUDES-ANY',
					valuePath: ['skills'],
					matchValue: ['typescript', 'python']
				}),
				FilterCriteria.criteria({
					type: 'BOOLEAN',
					operator: 'EQUALS',
					valuePath: ['active'],
					matchValue: true
				})
			]
		}),
		FilterCriteria.filter({
			operator: 'OR',
			criterias: [
				FilterCriteria.criteria({
					type: 'STRING',
					operator: 'CONTAINS',
					valuePath: ['name'],
					matchValue: 'john'
				}),
				FilterCriteria.criteria({
					type: 'ARRAY',
					operator: 'INCLUDES-ANY',
					valuePath: ['roles'],
					matchValue: ['admin']
				})
			]
		})
	]
});

// Match many
const matchingUsers = await filter.matchMany(users, complexFilterGroup);
console.log(matchingUsers);

// Match many multiple
const results = await filter.matchManyMultiple(users, {
	developers: FilterCriteria.criteria({
		type: 'SET',
		operator: 'HAS',
		valuePath: ['tagsSet'],
		matchValue: 'developer'
	}),
	activeUsers: FilterCriteria.criteria({
		type: 'BOOLEAN',
		operator: 'EQUALS',
		valuePath: ['active'],
		matchValue: true
	})
});

// With detailed logging
const detailedResult = await filter.match(users[0], complexFilterGroup);
console.log(detailedResult);

Input Formats

The library supports three levels of filter complexity to match your needs:

1. Simple Criteria Input

For basic, single-condition filtering:

const ageCriteria = FilterCriteria.criteria({
	type: 'NUMBER',
	operator: 'GREATER',
	valuePath: ['age'],
	matchValue: 25
});

const result = await filter.match(data, ageCriteria);

2. Filter Input

For grouping multiple criteria with a logical operator:

const userFilterCriteria = FilterCriteria.filter({
	operator: 'AND',
	criterias: [
		FilterCriteria.criteria({
			type: 'NUMBER',
			operator: 'GREATER',
			valuePath: ['age'],
			matchValue: 25
		}),
		FilterCriteria.criteria({
			type: 'STRING',
			operator: 'CONTAINS',
			valuePath: ['name'],
			matchValue: 'john'
		})
	]
});

const result = await filter.match(data, userFilterCriteria);

3. Filter Group Input

For complex filtering with multiple filters and nested logic:

const complexFilterCriteria = FilterCriteria.filterGroup({
	operator: 'OR',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'NUMBER',
					operator: 'GREATER',
					valuePath: ['age'],
					matchValue: 25
				}),
				FilterCriteria.criteria({
					type: 'SET',
					operator: 'INCLUDES-ALL',
					valuePath: ['skills'],
					matchValue: ['typescript']
				})
			]
		}),
		FilterCriteria.filter({
			operator: 'OR',
			criterias: [
				FilterCriteria.criteria({
					type: 'STRING',
					operator: 'MATCHES-REGEX',
					valuePath: ['name'],
					matchValue: /^john/i
				})
			]
		})
	]
});

const result = await filter.match(data, complexFilterCriteria);

Each input format supports all the filter types and operators described in the "Supported Filter Types" section. The choice between them depends on your filtering complexity needs:

• Use Criteria Input for simple, single-condition checks
• Use Filter Input when you need to combine multiple criteria with AND/OR logic
• Use Filter Group Input for complex scenarios requiring multiple filters and nested logic combinations

Detailed Logging

The match function returns detailed logging that provides comprehensive information about why filters passed or failed:

const result = await filter.match(data, filter);

The detailed output includes:

• Filter group level information showing overall filter results
• Filter level results showing how each filter was evaluated
• Criteria level details showing:
  • The actual value found at the specified path
  • The match value being compared against
  • The operator used
  • Whether the check passed or failed
  • A human-readable reason for the result

This detailed output is invaluable for:

• Debugging complex filters
• Understanding why certain records were included/excluded
• Validating filter logic
• Troubleshooting unexpected results

Detailed Logging Examples

Here are examples showing how to use detailed logging with different filter types:

// String filter with detailed logging
const stringFilterCriteria = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'STRING',
					operator: 'CONTAINS',
					valuePath: ['name'],
					matchValue: 'john'
				})
			]
		})
	]
});

const stringResult = await filter.match(users[0], stringFilterCriteria);
/* Output:
{
  operator: 'AND',
  passed: true,
  reason: 'Filter group "AND" check PASSED',
  results: [{
    operator: 'AND',
    passed: true,
    reason: 'Filter "AND" check PASSED',
    results: [{
      matchValue: 'john',
      passed: true,
      reason: 'String criteria "CONTAINS" check PASSED',
      value: 'john-doe'
    }]
  }]
}
*/

// Geographic filter with detailed logging
const geoFilterCriteria = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'GEO',
					operator: 'IN-RADIUS',
					valuePath: ['location'],
					matchValue: {
						lat: 40.7128,
						lng: -74.006,
						radius: 10,
						unit: 'km'
					}
				})
			]
		})
	]
});

const geoResult = await filter.match(users[0], geoFilterCriteria);
/* Output shows detailed radius check results:
{
  operator: 'AND',
  passed: true,
  reason: 'Filter group "AND" check PASSED',
  results: [{
    operator: 'AND',
    passed: true,
    reason: 'Filter "AND" check PASSED',
    results: [{
      matchValue: {
        lat: 40.7128,
        lng: -74.006,
        radius: 10,
        unit: 'km'
      },
      passed: true,
      reason: 'Geo criteria "IN-RADIUS" check PASSED',
      value: { lat: 40.7128, lng: -74.006 }
    }]
  }]
}
*/

// Complex nested filter with detailed logging
const nestedFilterCriteria = FilterCriteria.filterGroup({
	operator: 'OR',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'NUMBER',
					operator: 'GREATER',
					valuePath: ['age'],
					matchValue: 25
				}),
				FilterCriteria.criteria({
					type: 'SET',
					operator: 'INCLUDES-ALL',
					valuePath: ['skills'],
					matchValue: ['typescript']
				})
			]
		}),
		FilterCriteria.filter({
			operator: 'OR',
			criterias: [
				FilterCriteria.criteria({
					type: 'STRING',
					operator: 'MATCHES-REGEX',
					valuePath: ['name'],
					matchValue: /^john/i
				})
			]
		})
	]
});

const nestedResult = await filter.match(users[0], nestedFilter);
/* Output shows the complete evaluation tree:
{
  operator: 'OR',
  passed: true,
  reason: 'Filter group "OR" check PASSED',
  results: [
    {
      operator: 'AND',
      passed: true,
      reason: 'Filter "AND" check PASSED',
      results: [
        {
          matchValue: 25,
          passed: true,
          reason: 'Number criteria "GREATER" check PASSED',
          value: 30
        },
        {
          matchValue: ['typescript'],
          passed: true,
          reason: 'Set criteria "INCLUDES-ALL" check PASSED',
          value: Set(['typescript', 'react'])
        }
      ]
    },
    {
      operator: 'OR',
      passed: true,
      reason: 'Filter "OR" check PASSED',
      results: [
        {
          matchValue: /^john/i,
          passed: true,
          reason: 'String criteria "MATCHES-REGEX" check PASSED',
          value: 'John Doe'
        }
      ]
    }
  ]
}
*/

Multiple Simultaneous Filters with matchManyMultiple

The matchManyMultiple function allows you to apply multiple different filters to the same dataset simultaneously, returning matched items for each filter in a single operation. This is particularly useful when you need to categorize data into multiple groups based on different criteria.

const filters = {
	developers: FilterCriteria.criteria({
		type: 'SET',
		operator: 'HAS',
		valuePath: ['tagsSet'],
		matchValue: 'developer'
	}),
	activeUsers: FilterCriteria.criteria({
		type: 'BOOLEAN',
		operator: 'EQUALS',
		valuePath: ['active'],
		matchValue: true
	}),
	usPhones: FilterCriteria.criteria({
		type: 'STRING',
		operator: 'EQUALS',
		valuePath: ['phones', 'country'],
		matchValue: 'us'
	})
};

// Apply all filters simultaneously
const results = await filter.matchManyMultiple(users, filters);

// Results contains an object with the same keys as the filters
console.log(results.developers); // Users with 'developer' tag
console.log(results.activeUsers); // Active users
console.log(results.usPhones); // Users with US phone numbers

Key features of matchManyMultiple:

• Process multiple filters in a single pass through the data
• Return separate result sets for each filter
• Support for concurrency control via the optional concurrency parameter
• Each filter can use any supported criteria type and complexity level
• Results maintain the original filter keys for easy access

This is more efficient than running multiple separate matchMany operations when you need to apply multiple filters to the same dataset.

Supported Filter Types

Array Operators

• EXACTLY-MATCHES: Arrays contain the same elements (order independent)
• HAS: Array has the specified element
• INCLUDES-ALL: Array contains ALL filter values
• INCLUDES-ANY: Array contains AT LEAST ONE filter value
• IS-EMPTY: Array is empty
• NOT-EMPTY: Array is not empty
• NOT-INCLUDES-ALL: Array is missing AT LEAST ONE filter value
• NOT-INCLUDES-ANY: Array contains NONE of the filter values
• SIZE-EQUALS: Array size equals the filter value
• SIZE-GREATER: Array size is greater than the filter value
• SIZE-GREATER-OR-EQUALS: Array size is greater than or equal to the filter value
• SIZE-LESS: Array size is less than the filter value
• SIZE-LESS-OR-EQUALS: Array size is less than or equal to the filter value

Boolean Operators

• EQUALS: Value equals the filter value
• IS-FALSE: Value is false
• IS-FALSY: Value is falsy
• IS-NIL: Value is null or undefined
• IS-NULL: Value is null
• IS-TRUE: Value is true
• IS-TRUTHY: Value is truthy
• IS-UNDEFINED: Value is undefined
• NOT-EQUALS: Value does not equal the filter value
• NOT-NIL: Value is not null or undefined
• NOT-NULL: Value is not null
• NOT-UNDEFINED: Value is not undefined
• STRICT-EQUAL: Value is strictly equal to the filter value
• STRICT-NOT-EQUAL: Value is not strictly equal to the filter value

Date Operators

• AFTER: Date is after the filter value
• AFTER-OR-EQUALS: Date is after or equal to the filter value
• BEFORE: Date is before the filter value
• BEFORE-OR-EQUALS: Date is before or equal to the filter value
• BETWEEN: Date is between two filter values (inclusive)

Geographic Operators

• IN-RADIUS: Point is within the specified radius
• NOT-IN-RADIUS: Point is outside the specified radius

Map Operators

• CONTAINS: Map's values object contains the specified value (using deep object comparison)
• HAS-KEY: Map contains the specified key
• HAS-VALUE: Map contains the specified value
• IS-EMPTY: Map is empty
• NOT-EMPTY: Map is not empty
• SIZE-EQUALS: Map size equals the filter value
• SIZE-GREATER: Map size is greater than the filter value
• SIZE-GREATER-OR-EQUALS: Map size is greater than or equal to the filter value
• SIZE-LESS: Map size is less than the filter value
• SIZE-LESS-OR-EQUALS: Map size is less than or equal to the filter value

Number Operators

• BETWEEN: Number is between two values (inclusive)
• EQUALS: Number equals the filter value
• GREATER: Number is greater than the filter value
• GREATER-OR-EQUALS: Number is greater than or equal to the filter value
• IN: Number is in the filter values
• LESS: Number is less than the filter value
• LESS-OR-EQUALS: Number is less than or equal to the filter value
• NOT-EQUALS: Number does not equal the filter value

Object Operators

• CONTAINS: Object contains the specified value (using deep object comparison)
• HAS-KEY: Object contains the specified key
• HAS-VALUE: Object contains the specified value
• IS-EMPTY: Object is empty
• NOT-EMPTY: Object is not empty
• SIZE-EQUALS: Object size equals the filter value
• SIZE-GREATER: Object size is greater than the filter value
• SIZE-GREATER-OR-EQUALS: Object size is greater than or equal to the filter value
• SIZE-LESS: Object size is less than the filter value
• SIZE-LESS-OR-EQUALS: Object size is less than or equal to the filter value

Set Operators

• EXACTLY-MATCHES: Set contains the exact same elements (order independent)
• HAS: Set contains the specific element
• INCLUDES-ALL: Set contains ALL filter values
• INCLUDES-ANY: Set contains AT LEAST ONE filter value
• IS-EMPTY: Set is empty
• NOT-EMPTY: Set is not empty
• NOT-INCLUDES-ALL: Set is missing AT LEAST ONE filter value
• NOT-INCLUDES-ANY: Set contains NONE of the filter values
• SIZE-EQUALS: Set size equals the filter value
• SIZE-GREATER: Set size is greater than the filter value
• SIZE-GREATER-OR-EQUALS: Set size is greater than or equal to the filter value
• SIZE-LESS: Set size is less than the filter value
• SIZE-LESS-OR-EQUALS: Set size is less than or equal to the filter value

String Operators

• CONTAINS: String contains the filter value
• ENDS-WITH: String ends with the filter value
• EQUALS: String equals the filter value
• IN: String is in the filter values
• IS-EMPTY: String is empty
• MATCHES-REGEX: String matches the regular expression pattern
• STARTS-WITH: String starts with the filter value

Custom Operators

There are several ways to use custom criteria with support for batching and concurrency optimization:

1. Using DataLoader for Efficient Batching

You can use DataLoader to batch multiple criteria checks efficiently:

import DataLoader from 'use-data-loader';

// Create a loader that batches user checks
const userLoader = new DataLoader(async userIds => {
	// Batch process multiple users at once
	return userIds.map(() => true); // Your batch logic here
});

// Create a filter using the loader
const batchedCriteria = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'CUSTOM',
					predicate: async user => userLoader.load(user.id)
				}),
				FilterCriteria.criteria({
					type: 'CUSTOM',
					predicate: async user => userLoader.load(user.id)
				})
			]
		})
	]
});

// Apply the filter with concurrency control
const results = await filter.matchMany(users, batchedCriteria, 2);

2. Inline Custom Functions

You can define custom filter functions directly in your criteria:

const customFunctionCriteria = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'CUSTOM',
					predicate: async (item, matchValue) => {
						// Your custom logic here
						return item.someProperty > matchValue;
					},
					matchValue: 10
				})
			]
		})
	]
});

3. Saved Criteria

You can save reusable criteria that can be referenced later by alias. This is useful for common filtering patterns that you want to reuse across your application:

// Save a criteria for high-value users
FilterCriteria.saveCriteria(
	FilterCriteria.criteria({
		alias: 'isHighValueUser',
		type: 'CUSTOM',
		predicate: async ({ value, matchValue }) => {
			return value.purchases > matchValue && value.membershipLevel === 'premium';
		},
		matchValue: 1000
	})
);

// Save a string criteria with normalize option
FilterCriteria.saveCriteria(
	FilterCriteria.criteria({
		alias: 'containsKeyword',
		type: 'STRING',
		operator: 'CONTAINS',
		valuePath: ['description'],
		normalize: true,
		matchValue: 'premium'
	})
);

// Reference saved criteria using an alias
const filterCriteria = FilterCriteria.alias('isHighValueUser');

// Override properties when using saved criteria
const customizedCriteria = FilterCriteria.alias('containsKeyword', {
	type: 'STRING',
	matchValue: 'special-offer', // Override the default matchValue
	normalize: true,
	operator: 'STARTS-WITH', // Override the default operator
	valueMapper: ({ value }) => value.name.toLowerCase(),
	valuePath: ['title'] // Override the default path
});

// You can combine multiple criteria in a filter
const combinedFilter = FilterCriteria.filter({
	operator: 'AND',
	criterias: [
		FilterCriteria.alias('isHighValueUser', {
			type: 'CUSTOM',
			matchValue: 2000 // Override matchValue for this instance
		}),
		FilterCriteria.alias('containsKeyword', {
			type: 'STRING',
			valuePath: ['tags'],
			matchValue: 'vip'
		})
	]
});

When using saved criteria, you can:

• Reference saved criteria by providing its alias
• Override any of their properties (valuePath, normalize, operator, matchValue, etc.)
• Combine multiple saved criteria in a single filter
• Mix saved criteria with regular criteria in the same filter

The saved criteria system provides a way to:

• Create reusable filtering patterns
• Maintain consistent filtering logic across your application
• Reduce code duplication
• Easily modify common filtering patterns in one place

Advanced Usage

Working with Sets and Maps

const data = [
	{
		id: 1,
		skills: new Set(['typescript', 'react']),
		metadata: new Map([
			['level', 'senior'],
			['department', 'engineering']
		])
	}
];

// Filter by Set contents
const setFilter = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'SET',
					operator: 'INCLUDES-ALL',
					valuePath: ['skills'],
					matchValue: ['typescript', 'react'],
					normalize: true // Optional: normalize string values
				})
			]
		})
	]
});

// Filter by Map contents
const mapFilter = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'MAP',
					operator: 'HAS-KEY',
					valuePath: ['metadata'],
					matchValue: 'level'
				})
			]
		})
	]
});

Using Criteria Mappers

The library supports criteria mapping through the criteriaMapper option. This allows you to dynamically modify criteria during evaluation:

const filter = FilterCriteria.criteria({
	type: 'STRING',
	operator: 'CONTAINS',
	valuePath: ['name'],
	matchValue: 'john',
	criteriaMapper: ({ criteria, value }) => {
		// You can return a modified criteria based on the current value
		return {
			...criteria,
			normalize: value.shouldNormalize || false,
			matchValue: value.searchTerm || criteria.matchValue
		};
	}
});

The criteriaMapper function receives:

• The current criteria configuration
• The value being evaluated
• Must return a modified criteria object

This is useful for:

• Dynamically adjusting criteria based on the data being evaluated
• Implementing complex filtering logic
• Creating adaptive filters that change behavior based on context

Note: The criteriaMapper function can return any valid criteria type, including changing the criteria type entirely.

Dynamic Values Using $path

const data = [
	{
		id: 1,
		requiredSkills: new Set(['typescript', 'react']),
		actualSkills: new Set(['typescript', 'react', 'node'])
	}
];

const filter = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'SET',
					operator: 'INCLUDES-ALL',
					valuePath: ['actualSkills'],
					matchValue: { $path: ['requiredSkills'] } // Compare actualSkills with requiredSkills
				})
			]
		})
	]
});

Dynamic Values Using Custom Functions

const data = [
	{
		id: 1,
		name: 'John Doe',
		createdAt: '2024-01-01T00:00:00Z'
	}
];

const filter = FilterCriteria.filterGroup({
	operator: 'AND',
	filters: [
		FilterCriteria.filter({
			operator: 'AND',
			criterias: [
				FilterCriteria.criteria({
					type: 'DATE',
					operator: 'BETWEEN',
					valuePath: ['createdAt'],
					matchValue: item => {
						// Calculate the date range dynamically based on the item
						const oneMonthAgo = new Date(item.createdAt);
						oneMonthAgo.setMonth(oneMonthAgo.getMonth() - 1);
						return [oneMonthAgo.toISOString(), item.createdAt];
					}
				})
			]
		})
	]
});

TypeScript Support

Full TypeScript support is provided out of the box. The library exports all necessary types and interfaces:

import FilterCriteria, { FilterCriteria } from 'use-filter-criteria';

type Criteria = FilterCriteria.Criteria;
type Filter = FilterCriteria.Filter;
type FilterGroup = FilterCriteria.FilterGroup;

Inspect Functionality

The FilterCriteria.inspect() method provides a way to introspect the current state of the filter criteria system:

1. All available operators for each data type
2. All currently saved criteria

Usage

// Get information about available operators and saved criteria
const info = FilterCriteria.inspect();
console.log(info);

/* Example output:
{
  "operators": {
    "array": [
      "EXACTLY-MATCHES",
      "INCLUDES-ALL",
      "INCLUDES-ANY",
      "HAS",
      "IS-EMPTY",
      "NOT-EMPTY",
      "NOT-INCLUDES-ALL",
      "NOT-INCLUDES-ANY",
      "SIZE-EQUALS",
      "SIZE-GREATER",
      "SIZE-GREATER-OR-EQUALS",
      "SIZE-LESS",
      "SIZE-LESS-OR-EQUALS"
    ],
    "boolean": [
      "EQUALS",
      "IS-FALSE",
      "IS-FALSY",
      "IS-NIL",
      "IS-NULL",
      "IS-TRUE",
      "IS-TRUTHY",
      "IS-UNDEFINED",
      "NOT-EQUALS",
      "NOT-NIL",
      "NOT-NULL",
      "NOT-UNDEFINED",
      "STRICT-EQUAL",
      "STRICT-NOT-EQUAL"
    ],
    // ... other operator types
  },
  "savedCriteria": {
    "isHighValueUser / CUSTOM": {
      "type": "CUSTOM",
      "predicate": [Function],
      "matchValue": 1000,
      "alias": "isHighValueUser"
    },
    "containsKeyword / STRING": {
      "type": "STRING",
      "operator": "CONTAINS",
      "valuePath": ["description"],
      "normalize": true,
      "matchValue": "premium",
      "alias": "containsKeyword"
    }
  }
}
*/

Use Cases

The inspect functionality is particularly useful for:

1. Debugging: Understanding what operators are available for each data type
2. Documentation: Generating dynamic documentation of available operators
3. UI Building: Creating dynamic filter builders that show available options
4. Validation: Verifying that saved criteria are properly registered
5. Development: Exploring the current state of the filtering system

Output Structure

The returned JSON object contains two main sections:

1. operators: An object where each key is a data type (array, boolean, date, etc.) and the value is an array of available operators for that type.

2. savedCriteria: An object containing all criteria that have been saved using FilterCriteria.saveCriteria(). Each key is the criteria name, and the value is the criteria configuration.

Contributing

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

License

MIT © Felipe Rohde

Author

Felipe Rohde

• Twitter: @felipe_rohde
• Github: @feliperohdee
• Email: [e-mail]