Attempts

Fluent functional container for handling nullable values with validation pipelines

Attempts in BoxLang are an enhanced Java Optional that provides a fluent, functional approach to handling nullable values. Think of an Attempt as a smart container that can hold a value or be empty, with powerful methods for safely working with that value without null pointer exceptions.

Key Benefits: Attempts eliminate verbose null checks, enable declarative validation pipelines, and make your code more readable and maintainable through functional chaining patterns.

🌟 Why Use Attempts?

Attempts provide several advantages over traditional null handling:

• ✅ Eliminate null checks - No more if (isNull(value)) everywhere
• ✅ Fluent API - Chain operations naturally: .map().filter().orElse()
• ✅ Built-in validation - Attach validation rules to create pipelines
• ✅ Immutable - Chain methods without mutating original values
• ✅ Functional programming - Write declarative, composable code
• ✅ Error handling - Convert missing values to exceptions or defaults gracefully

Traditional vs Attempt Approach

// ❌ Traditional approach - verbose and error-prone
user = userService.get( rc.id );
if ( isNull( user ) ) {
    throw( "UserNotFoundException" );
}
email = user.getEmail();
if ( isNull( email ) ) {
    throw( "Email not found" );
}
domain = email.listLast( "@" );

// ✅ Attempt approach - clean and declarative
attempt( userService.get( rc.id ) )
    .flatMap( user -> user.getEmail() )
    .map( email -> email.listLast( "@" ) )
    .ifPresentOrElse(
        domain -> println( "Domain: #domain#" ),
        () -> throw( "User or email not found" )
    );

Attempts are also unmodifiable, so you can chain methods to handle the value more functionally, but it never mutates the original value. It can also be seeded with validation information to create validation pipelines.

💻 Attempts in Code

Let's see practical examples of Attempts in action:

// Simple value retrieval with default
cacheValue = attempt( getBoxCache().get( "user-123" ) )
    .orElse( "not-found" );

// Complex pipeline with validation
attempt( userService.get( rc.id ) )
    .filter( user -> user.isActive() )
    .map( user -> user.getEmail() )
    .ifPresentOrElse(
        email -> sendWelcome( email ),
        () -> logError( "No active user found" )
    );

// Multi-tier fallback lookup
data = attempt( dataService.findGlobally( id ) )
    .or( () -> dataService.findLocally( id ) )
    .or( () -> dataService.findInCache( id ) )
    .orElseGet( () -> dataService.createDefault( id ) );

// Validation pipeline
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifValid( score -> approveApplication( score ) )
    .ifInvalid( () -> denyApplication() );

BoxLang Integration: Many BoxLang BIFs and internal operations return Attempts, making it easy to integrate attempt-based patterns throughout your codebase.

🔄 Attempt States

An Attempt can exist in only two states:

State Checking Methods

Method	Returns	Description
isEmpty()	boolean	✅ Core check - true if no value present
isPresent()	boolean	✅ Core check - true if value exists
isNull()	boolean	🔍 Value check - true if value is null
hasFailed()	boolean	📝 Alias for isEmpty() - more readable for error handling
wasSuccessful()	boolean	📝 Alias for isPresent() - more readable for success cases

Rules for Present State

An attempt is present if and only if:

• ✅ The value is not null

An attempt is empty if:

• ❌ The value is null
• ❌ Created with attempt() (no arguments)

Examples

// Empty attempts
attempt()
    .isEmpty();           // ✅ true
    .isPresent();         // ❌ false
    .hasFailed();         // ✅ true
    .wasSuccessful();     // ❌ false

attempt( null )
    .isEmpty();           // ✅ true
    .isNull();            // ✅ true

// Present attempts
attempt( "hello" )
    .isPresent();         // ✅ true
    .isEmpty();           // ❌ false
    .wasSuccessful();     // ✅ true

attempt( 0 )              // Even 0 is present!
    .isPresent();         // ✅ true

attempt( false )          // Even false is present!
    .isPresent();         // ✅ true

attempt( "" )             // Even empty string is present!
    .isPresent();         // ✅ true

Important: Only null makes an attempt empty. Empty strings, zero, false, and empty arrays/structs are all present values!

🏗️ Creating Attempts

Create attempts using the attempt() BIF (Built-In Function).

Empty Attempt

Create an empty attempt by calling attempt() with no arguments:

emptyAttempt = attempt();

emptyAttempt.isEmpty();      // true
emptyAttempt.isPresent();    // false

Immutability: Remember that attempts are immutable - you cannot change an empty attempt to a present one, or vice versa. Each operation returns a new attempt.

Attempt with Value

Pass any value or expression to create an attempt that may be present or empty:

// Direct values
attempt( "hello" );              // Present
attempt( 123 );                  // Present
attempt( null );                 // Empty
attempt( [ 1, 2, 3 ] );         // Present

// Expressions that might return null
attempt( userService.get( rc.id ) );
attempt( getBoxCache().get( "user-123" ) );
attempt( queryExecute( sql ).recordCount ? query : null );

// Function calls
attempt( getStudentByName( "luis" ) );
attempt( apiService.fetchUserData( userId ) );

// Struct access (might not exist)
attempt( config.database?.host );

Creation Patterns

// From service layer - might return null
user = attempt( userService.findById( 42 ) );

// From cache - might not be cached
cachedData = attempt( cacheGet( "myKey" ) );

// From API call - might fail
apiResult = attempt( httpGet( "https://api.example.com/data" ) );

// From database query - might return no rows
firstRow = attempt( queryExecute( "SELECT * FROM users WHERE id = ?" , [id] ).getRow( 1 ) );

// Conditional creation
validUser = attempt( user.isActive() ? user : null );

🛠️ Working with Attempts

Once you have an attempt, you can interact with it using a rich set of fluent methods. These methods fall into several categories:

📖 Method Reference

🔍 State Checking Methods

isEmpty():boolean

Returns true if the attempt has no value (is null).

attempt( null ).isEmpty();        // true
attempt( "value" ).isEmpty();     // false

isPresent():boolean

Returns true if the attempt contains a value (not null).

attempt( "hello" ).isPresent();   // true
attempt( null ).isPresent();      // false

isNull():boolean

Returns true if the value is null.

attempt( null ).isNull();         // true
attempt( 0 ).isNull();            // false

hasFailed():boolean / wasSuccessful():boolean

Fluent aliases for isEmpty() and isPresent() for more readable code.

attempt( apiCall() )
    .hasFailed();                  // Same as isEmpty()

attempt( processData() )
    .wasSuccessful();              // Same as isPresent()

equals( object ):boolean

Compare two attempts for equality.

attempt1 = attempt( "hello" );
attempt2 = attempt( "hello" );
attempt3 = attempt( "world" );

attempt1.equals( attempt2 );       // true
attempt1.equals( attempt3 );       // false

// Empty attempts are equal
attempt().equals( attempt() );     // true

🎯 Value Retrieval Methods

get():any / getOrFail():any

Get the value of the attempt. Throws exception if the attempt is empty.

user = attempt( userService.findById( rc.id ) ).get();

// Throws NoElementException if empty
try {
    value = attempt( null ).get();  // ❌ Throws!
} catch ( any e ) {
    println( "No value present!" );
}

// getOrFail() is an alias for clarity
data = attempt( apiCall() ).getOrFail();

Warning: Only use get() when you're certain the value exists, or wrap in try/catch. Consider using orElse(), orElseGet(), or orThrow() for safer alternatives.

orElse( defaultValue ):any / getOrDefault( defaultValue ):any

Returns the value if present, otherwise returns the provided default.

// orElse - functional style
username = attempt( session.username )
    .orElse( "Anonymous" );

// getOrDefault - more explicit
cacheValue = attempt( cacheGet( "key" ) )
    .getOrDefault( "not-found" );

// With complex defaults
config = attempt( loadConfig() )
    .orElse( { defaultSettings: true } );

orElseGet( supplier ):any / getOrSupply( supplier ):any

Returns the value if present, otherwise executes the supplier function and returns its result.

// Only calls createDefault() if attempt is empty
data = attempt( fetchFromCache( id ) )
    .orElseGet( () -> createDefault( id ) );

// Expensive operation only when needed
user = attempt( getUserFromCache( userId ) )
    .getOrSupply( () -> {
        // Only runs if cache miss
        return userService.findById( userId );
    } );

// Multiple fallback layers
result = attempt( primarySource() )
    .orElseGet( () -> backupSource() );

Performance Tip: Use orElseGet() with a lambda when the default value is expensive to compute. It's only called if the attempt is empty. Use orElse() for simple values that are cheap to create.

orThrow( [type], [message|exception] ):any

Returns the value if present, otherwise throws an exception.

// Throws NoElementException with default message
user = attempt( userService.findById( rc.id ) )
    .orThrow();

// Custom message
user = attempt( userService.findById( rc.id ) )
    .orThrow( "User with id [#rc.id#] not found" );

// Custom exception type and message
user = attempt( userService.findById( rc.id ) )
    .orThrow( "UserNotFoundException", "User #rc.id# does not exist" );

// Custom exception object
user = attempt( validateInput( data ) )
    .orThrow( new ValidationException( "Invalid data provided" ) );

🔄 Transformation Methods

map( mapper ):attempt

Transform the value if present by applying a function. Returns a new attempt with the transformed value.

// Simple transformation
upperEmail = attempt( user.getEmail() )
    .map( email -> email.ucase() )
    .orElse( "" );

// Chaining transformations
fullName = attempt( user.getName() )
    .map( name -> name.trim() )
    .map( name -> name.ucase() )
    .orElse( "UNKNOWN" );

// Extract property
userDTO = attempt( userService.findById( rc.id ) )
    .map( user -> user.getMemento() )
    .orElse( {} );

// Multiple steps
domain = attempt( user.getEmail() )
    .map( email -> email.listLast( "@" ) )
    .map( domain -> domain.lcase() )
    .orElse( "unknown.com" );

Map vs FlatMap: Use map() when your mapper function returns a regular value. Use flatMap() when your mapper function returns an Attempt.

filter( predicate ):attempt

If a value is present and matches the given predicate, returns an Attempt with the value; otherwise, returns an empty Attempt.

// Filter by age
attempt( userService.findById( 25 ) )
    .filter( user -> user.getAge() >= 21 )
    .ifPresentOrElse(
        user -> println( "User is of legal age" ),
        () -> println( "User is underage" )
    );

// Filter active users
activeUsers = users
    .map( userId -> attempt( userService.findById( userId ) ) )
    .filter( attempt -> attempt.isPresent() )
    .map( attempt -> attempt.get() )
    .filter( user -> user.isActive() );

// Multiple filters
validEmail = attempt( user.getEmail() )
    .filter( email -> email.len() > 0 )
    .filter( email -> email.findNoCase( "@" ) > 0 )
    .orElse( "[e-mail]" );

flatMap( mapper ):attempt

Apply a function that returns an Attempt, flattening the result to avoid nested Attempts. Use this when your mapping function itself returns an Attempt.

The Problem: If getEmail() returns an Attempt and you use map(), you get Attempt<Attempt<String>> (nested).

The Solution: flatMap() automatically unwraps one level, giving you Attempt<String>.

// Example: User.bx class
class User {
    property email;

    function getEmail() {
        // Returns an Attempt, not a String
        return attempt( variables.email );
    }
}

// ❌ Using map() creates nested Attempt<Attempt<String>>
nested = attempt( userService.findById( userId ) )
    .map( user -> user.getEmail() );  // Returns Attempt<Attempt<String>>

// ✅ Using flatMap() flattens to Attempt<String>
email = attempt( userService.findById( userId ) )
    .flatMap( user -> user.getEmail() )  // Returns Attempt<String>
    .orElse( "[e-mail]" );

Complete Example: Before and After

// ❌ Traditional approach - verbose null checks
user = userService.findUserById( userId );
if ( isNull( user ) ) {
    throw( "Unable to find user" );
}

emailAttempt = user.getEmail();
if ( emailAttempt.isEmpty() ) {
    throw( "Email not present" );
}

email = emailAttempt.get();
domain = email.listLast( "@" );
println( "Email domain: #domain#" );

// ✅ Attempt approach - clean and declarative
attempt( userService.findUserById( userId ) )
    .flatMap( user -> user.getEmail() )       // Unwraps Attempt<String> from getEmail()
    .map( email -> email.listLast( "@" ) )    // Regular transformation
    .ifPresentOrElse(
        domain -> println( "Email domain: #domain#" ),
        () -> println( "Email not present" )
    );

Chaining Multiple FlatMaps

// Assume these methods return Attempts
class User {
    function getProfile() { return attempt( variables.profile ); }
}

class Profile {
    function getAddress() { return attempt( variables.address ); }
}

class Address {
    function getCity() { return attempt( variables.city ); }
}

// Chain through nested Attempts
city = attempt( userService.findById( userId ) )
    .flatMap( user -> user.getProfile() )
    .flatMap( profile -> profile.getAddress() )
    .flatMap( address -> address.getCity() )
    .orElse( "Unknown City" );

🎭 Conditional Action Methods

ifPresent( action ):attempt / ifSuccessful( action ):attempt

Execute an action if a value is present. Returns the same attempt for chaining.

// Store data if API call succeeded
attempt( apiService.getUserData( rc.id ) )
    .ifPresent( data -> rc.user = data );

// ifSuccessful is an alias for better readability
attempt( saveToDatabase( record ) )
    .ifSuccessful( result -> logSuccess( "Saved record #result.id#" ) );

// Chaining multiple actions
attempt( userService.findById( rc.id ) )
    .ifPresent( user -> {
        populate( user, rc );
        user.save();
        logAudit( "User updated" );
    } );

ifEmpty( action ):attempt / ifFailed( action ):attempt

Execute an action if the attempt is empty. Returns the same attempt for chaining.

// Log when user not found
attempt( userService.findById( rc.id ) )
    .ifEmpty( () -> log.warn( "User #rc.id# not found" ) );

// ifFailed is an alias for error handling contexts
attempt( apiCall() )
    .ifFailed( () -> metrics.incrementFailureCount() );

// Combined with ifPresent
attempt( processPayment( order ) )
    .ifSuccessful( receipt -> sendConfirmation( receipt ) )
    .ifFailed( () -> notifyAdmin( "Payment failed for order #order.id#" ) );

ifPresentOrElse( presentAction, emptyAction ):attempt

Execute one of two actions based on whether the value is present.

// Handle both success and failure cases
attempt( apiService.getUserData( rc.id ) )
    .ifPresentOrElse(
        data -> rc.user = data,
        () -> rc.user = getGuestUser()
    );

// With complex logic
attempt( fetchLatestData() )
    .ifPresentOrElse(
        data -> {
            cache.set( "latest", data );
            updateUI( data );
        },
        () -> {
            log.error( "Failed to fetch latest data" );
            useStaleData();
        }
    );

🔗 Chaining and Fallback Methods

or( supplier ):attempt

If empty, returns a new Attempt produced by the supplier function. Great for fallback chains.

// Try multiple sources in order
data = attempt( findInCache( id ) )
    .or( () -> attempt( findInDatabase( id ) ) )
    .or( () -> attempt( findInArchive( id ) ) )
    .orElse( null );

// Multi-tier lookup with different sources
user = attempt( userService.findGlobally( userId ) )
    .or( () -> userService.findLocally( userId ) )
    .or( () -> userService.findInCache( userId ) )
    .orThrow( "User not found anywhere" );

// Try primary, then backup server
apiResult = attempt( primaryAPI.getData() )
    .or( () -> {
        log.warn( "Primary API failed, trying backup" );
        return backupAPI.getData();
    } )
    .orElseGet( () -> getDefaultData() );

🌊 Stream Integration

stream():Stream<T>

Convert the attempt to a Java Stream. If present, returns a single-element stream; if empty, returns an empty stream.

// Filter out empty attempts when processing collections
people = [
    { name: "Luis", address: attempt( { city: "New York" } ) },
    { name: "Jaime", address: attempt() },
    { name: "Jon", address: attempt( { city: "Grand Rapids" } ) },
    { name: "Ana", address: attempt() },
    { name: "Edgardo", address: attempt( { city: "San Salvador" } ) }
];

// Extract cities from people who have addresses
cities = people
    .stream()
    .map( person -> person.address )        // Get Attempt<Address>
    .flatMap( attempt -> attempt.stream() ) // Flatten: discards empties
    .map( address -> address.city )         // Extract city
    .toList();
// Result: ["New York", "Grand Rapids", "San Salvador"]

// Count successful operations
successCount = operations
    .stream()
    .map( op -> attempt( op.execute() ) )
    .flatMap( attempt -> attempt.stream() )
    .count();

toOptional():Optional<T>

Convert the attempt to a Java Optional for interoperability with Java code.

// When calling Java libraries expecting Optional
javaService = createObject( "java", "com.example.Service" );

boxlangAttempt = attempt( getData() );
javaOptional = boxlangAttempt.toOptional();

javaService.processData( javaOptional );

🔧 Utility Methods

toString():String

Get a string representation of the attempt.

println( attempt().toString() );         // "Attempt.empty"
println( attempt( "hello" ).toString() ); // "Attempt[hello]"
println( attempt( 123 ).toString() );     // "Attempt[123]"
println( attempt( null ).toString() );    // "Attempt.empty"

// Useful for debugging
log.debug( "User attempt: #userAttempt.toString()#" );

hashCode():int / equals( object ):boolean

Standard Java object methods for use in collections and comparisons.

// Create a map with attempts as keys
attemptMap = {};
attempt1 = attempt( "key1" );
attemptMap[ attempt1 ] = "value1";

// Equality comparison
if ( attempt1.equals( attempt2 ) ) {
    println( "Attempts are equal" );
}

✅ Validation Pipelines

Attempts provide powerful validation capabilities that let you attach validation rules and create validation pipelines. This is perfect for input validation, business rules, and data quality checks.

Validation Flow

Validation Process

1. Attach Matcher - Use to{Method}() to register validation rules
2. Check Validity - Use isValid():boolean to test if value matches rules
3. Conditional Actions - Use ifValid() / ifInvalid() for conditional execution

Important: If the attempt is empty, isValid() always returns false, regardless of validation rules.

🎯 Validation Matchers

toBe( value ):attempt

Validate that the value exactly equals another value.

// Exact match validation
attempt( "admin" )
    .toBe( "admin" )
    .isValid();              // true

attempt( getUserRole() )
    .toBe( "administrator" )
    .ifValid( role -> grantFullAccess() )
    .ifInvalid( () -> restrictAccess() );

// Numeric equality
attempt( getStatusCode() )
    .toBe( 200 )
    .ifValid( () -> processSuccess() );

toBeBetween( min, max ):attempt

Validate that a numeric value falls within a range (inclusive).

// Credit score validation
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifValid( score -> approveApplication( score ) )
    .ifInvalid( () -> denyApplication() );

// Age verification
attempt( user.age )
    .toBeBetween( 18, 120 )
    .ifValid( age -> processAdultContent() )
    .ifInvalid( () -> redirectToError() );

// Temperature range check
attempt( getSensorReading() )
    .toBeBetween( -50, 50 )
    .ifInvalid( () -> triggerAlert( "Temperature out of range!" ) );

// Price validation
attempt( product.price )
    .toBeBetween( 0.01, 999999.99 )
    .ifValid( price -> addToCart( product ) );

toBeType( type ):attempt

Validate against BoxLang types using the isValid() BIF type system.

// Struct validation
attempt( getUserData() )
    .toBeType( "struct" )
    .ifValid( data -> processUserData( data ) );

// Email validation
attempt( input.email )
    .toBeType( "email" )
    .ifValid( email -> sendConfirmation( email ) )
    .ifInvalid( () -> showError( "Invalid email address" ) );

// URL validation
attempt( config.apiEndpoint )
    .toBeType( "url" )
    .ifInvalid( () -> throw( "Invalid API endpoint" ) );

// UUID validation
attempt( request.sessionId )
    .toBeType( "uuid" )
    .ifValid( id -> loadSession( id ) );

// Common types: string, numeric, boolean, date, struct, array, query, email, url, uuid, xml

Type Reference: See the isValid() BIF documentation for all available type validators.

toMatchRegex( pattern, [caseSensitive=true] ):attempt

Validate against a regular expression pattern.

// Phone number format
attempt( user.phone )
    .toMatchRegex( "^\d{3}-\d{3}-\d{4}$" )
    .ifValid( phone -> sendSMS( phone ) );

// HTTP status pattern
attempt( getHTTPCall().status )
    .toMatchRegex( "^2\d{2}$" )  // 2xx success codes
    .ifValid( () -> processSuccessfulResponse() )
    .ifInvalid( () -> handleError() );

// Case-insensitive matching
attempt( getCountryCode() )
    .toMatchRegex( "^(US|CA|MX)$", false )  // case-insensitive
    .ifValid( code -> setShippingRates( code ) );

// Username format validation
attempt( input.username )
    .toMatchRegex( "^[a-zA-Z0-9_]{3,20}$" )
    .ifInvalid( () -> addError( "Invalid username format" ) );

// Postal code validation
attempt( address.postalCode )
    .toMatchRegex( "^\d{5}(-\d{4})?$" )  // US ZIP code
    .ifValid( zip -> validateAddress() );

toSatisfy( predicate ):attempt

Custom validation using a closure/lambda. Most flexible approach.

// Custom business rule
attempt( getUser() )
    .toSatisfy( user -> user.age >= 21 && user.country == "US" )
    .ifValid( user -> allowAlcoholPurchase( user ) );

// Complex validation logic
attempt( order )
    .toSatisfy( order -> {
        return order.total > 0
            && order.items.len() > 0
            && !order.isCancelled();
    } )
    .ifValid( order -> processPayment( order ) );

// Multiple conditions
attempt( password )
    .toSatisfy( pwd -> {
        hasLength = pwd.len() >= 8;
        hasUpper = reFind( "[A-Z]", pwd );
        hasLower = reFind( "[a-z]", pwd );
        hasNumber = reFind( "[0-9]", pwd );
        return hasLength && hasUpper && hasLower && hasNumber;
    } )
    .ifInvalid( () -> addError( "Password does not meet requirements" ) );

// External validation function
attempt( userData )
    .toSatisfy( data -> validationService.validateUser( data ) )
    .ifValid( data -> createAccount( data ) );

🎨 Validation Method Reference

Method	Returns	Description
isValid()	boolean	✅ Returns true if value is present AND passes validation rules
ifValid( action )	attempt	🎯 Executes action if value is valid
ifInvalid( action )	attempt	❌ Executes action if value is invalid or empty

// Check validity
isGoodScore = attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .isValid();  // true or false

// Execute on valid
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifValid( score -> println( "Excellent credit: #score#" ) );

// Execute on invalid
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifInvalid( () -> println( "Credit score below threshold" ) );

// Both together
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifValid( score -> approveApplication( score ) )
    .ifInvalid( () -> denyApplication() );

🔗 Validation Pipeline Examples

Multi-Stage Validation

// Validate user registration
attempt( registrationForm )
    .toBeType( "struct" )
    .toSatisfy( form -> form.keyExists( "email" ) && form.keyExists( "password" ) )
    .flatMap( form -> attempt( form.email ).toBeType( "email" ) )
    .flatMap( email -> attempt( form.password ).toSatisfy( pwd -> pwd.len() >= 8 ) )
    .ifValid( () -> createUser( registrationForm ) )
    .ifInvalid( () -> showValidationErrors() );

API Input Validation

// Validate API request
function processAPIRequest( requestData ) {
    return attempt( requestData )
        .toBeType( "struct" )
        .toSatisfy( data -> data.keyExists( "apiKey" ) )
        .toSatisfy( data -> validateApiKey( data.apiKey ) )
        .ifValid( data -> executeRequest( data ) )
        .ifInvalid( () -> throw( type="InvalidRequest", message="Invalid API request" ) )
        .orThrow();
}

Form Validation Pipeline

// Age verification form
attempt( form.age )
    .toBeType( "numeric" )
    .toBeBetween( 0, 150 )
    .toSatisfy( age -> age >= 21 )
    .ifValid( age -> {
        session.ageVerified = true;
        redirectTo( "restricted-content" );
    } )
    .ifInvalid( () -> {
        addError( "Must be 21 or older" );
        redirectTo( "age-verification" );
    } );

💡 Validation Best Practices

1. ✅ Attach validators early - Register validation rules as soon as you create the attempt
2. ✅ Use specific validators - Prefer toBeType() and toMatchRegex() over generic toSatisfy() when possible
3. ✅ Chain validations - Combine multiple validators for complex rules
4. ✅ Handle both paths - Use both ifValid() and ifInvalid() for complete flow control
5. ✅ Return attempts from validators - Enable fluent validation chains
6. ✅ Document validation rules - Comment complex toSatisfy() predicates
7. ✅ Test empty cases - Remember that empty attempts are always invalid

// ✅ Good: Clear, specific, handles both cases
attempt( getCreditScore() )
    .toBeBetween( 700, 850 )
    .ifValid( score -> approveApplication( score ) )
    .ifInvalid( () -> denyApplication() );

// ❌ Avoid: Unclear, doesn't handle invalid case
score = attempt( getCreditScore() ).get();
if ( score >= 700 && score <= 850 ) {
    approveApplication( score );
}

---

📚 Best Practices Summary

When to Use Attempts

✅ Good Use Cases:

• External API calls - Network requests that may fail or return null
• Database queries - Queries that may return no results
• Configuration lookups - Config values that may not exist
• File operations - File reads that may fail
• User input processing - Form data that may be missing or invalid
• Optional calculations - Operations that may not produce a result
• Service responses - Backend services that may timeout or error

❌ Avoid Using Attempts For:

• Simple null checks - Use elvis operator instead
• Values that are never null - Unnecessary overhead
• Control flow logic - Use conditionals instead
• Exception handling - Use try/catch for exception control

Design Patterns

1. 🎯 Fail Fast with orThrow()

// Validate immediately, throw if missing
config = attempt( getConfig( "apiKey" ) )
    .orThrow( "Missing API key configuration" );

2. 🔄 Transform Chains

// Clean transformation pipelines
result = attempt( getUserId() )
    .map( id -> loadUser( id ) )
    .map( user -> user.profile )
    .filter( profile -> profile.isActive )
    .orElse( getDefaultProfile() );

3. 🎭 Conditional Logic

// Handle presence/absence elegantly
attempt( getOptionalFeature() )
    .ifPresent( feature -> enableFeature( feature ) )
    .ifEmpty( () -> useDefaultBehavior() );

4. 🔗 Fallback Chains

// Try multiple sources in order
data = attempt( getPrimaryCache() )
    .or( () -> attempt( getSecondaryCache() ) )
    .or( () -> attempt( getDatabaseValue() ) )
    .orElseGet( () -> computeDefault() );

5. ✅ Validation Pipelines

// Multi-stage validation
attempt( formData )
    .toBeType( "struct" )
    .toSatisfy( data -> data.keyExists( "email" ) )
    .flatMap( data -> attempt( data.email ).toBeType( "email" ) )
    .ifValid( data -> processForm( data ) )
    .ifInvalid( () -> showErrors() );

Performance Considerations

1. Immutability Cost - Each operation creates a new attempt; minimize in hot loops
2. Validation Overhead - Matchers add small overhead; cache validation results if needed
3. Closure Creation - Lambdas in map/flatMap have allocation cost; extract to functions in tight loops
4. Stream Integration - Converting to streams adds overhead; only use when needed

// ✅ Good: Single transformation chain
results = data.map( item ->
    attempt( processItem( item ) )
        .map( result -> transform( result ) )
        .orElse( defaultValue )
);

// ❌ Avoid: Creating unnecessary attempts in loops
for ( item in data ) {
    // Creates attempt object every iteration even if not needed
    temp = attempt( item ).orElse( item );
}

Code Style Guidelines

1. Use descriptive variable names for attempts:

   userAttempt = attempt( loadUser( id ) );
   configAttempt = attempt( getConfig( key ) );

2. Prefer method chaining for readability:

   // ✅ Good
   attempt( data )
       .map( transform )
       .filter( validate )
       .orElse( defaultValue );

3. Extract complex lambdas to separate functions:

   // ✅ Good
   function validateUser( user ) {
       return user.age >= 18 && user.email.len() > 0;
   }
   
   attempt( getUser() )
       .toSatisfy( validateUser )
       .ifValid( processUser );

4. Use orElse() for simple defaults, orElseGet() for computed defaults:

   // Simple value - use orElse
   name = attempt( user.name ).orElse( "Anonymous" );
   
   // Computed value - use orElseGet (lambda only runs if needed)
   data = attempt( getCache() ).orElseGet( () -> expensiveComputation() );

Common Mistakes to Avoid

❌ Don't call get() without checking:

// Bad - throws if empty
value = attempt( data ).get();

// Good - safe default
value = attempt( data ).orElse( defaultValue );

❌ Don't use map() when you need flatMap():

// Bad - returns Attempt<Attempt<T>>
attempt( id ).map( id -> attempt( loadUser( id ) ) );

// Good - returns Attempt<T>
attempt( id ).flatMap( id -> attempt( loadUser( id ) ) );

❌ Don't ignore validation rules:

// Bad - validation never checked
attempt( data )
    .toBeBetween( 1, 100 )
    .orElse( defaultValue );  // Validation ignored!

// Good - check validation explicitly
attempt( data )
    .toBeBetween( 1, 100 )
    .filter( value -> attempt( value ).toBeBetween( 1, 100 ).isValid() )
    .orElse( defaultValue );

❌ Don't create attempts for values you know exist:

// Bad - unnecessary
value = attempt( 42 ).orElse( 0 );

// Good - direct assignment
value = 42;

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🔗 Related Documentation

• Conditionals - Control flow and logical operators
• Exception Management - Error handling and try/catch
• Null and Nothingness - Understanding null values in BoxLang
• Closures - Lambda expressions and functional programming
• Operators - Elvis operator and safe navigation
• isValid() BIF - Type validation reference

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🎓 Summary

The Attempt class is BoxLang's answer to safe optional value handling with built-in validation. It provides:

• ✅ Null Safety - Eliminates null pointer errors
• ✅ Validation - Built-in type and custom validation rules
• ✅ Fluent API - Chainable operations for clean code
• ✅ Functional Style - Map, filter, flatMap for transformations
• ✅ Explicit Handling - Forces you to think about empty cases
• ✅ Composability - Easily combine with other attempts

Use attempts whenever you're dealing with values that might not exist or might be invalid, and let the type system guide you to handle both cases correctly.

Pro Tip: Start using attempts for API calls, database queries, and configuration lookups. Once you're comfortable, expand usage to form validation and data transformation pipelines.