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DocsAckReferenceAPI Reference

API Reference

This page is a curated quick reference for the core Ack classes, methods, and annotations. Use the generated API documentation  for every public declaration and exact signatures; use the linked guides here for explanations and examples.

Core Ack Class

Entry point for creating schemas. See Schema Types.

  • Ack.string(): Creates a StringSchema for validating String values.
  • Ack.integer(): Creates an IntegerSchema for validating int values. Rejects double (e.g. 42.0).
  • Ack.double(): Creates a DoubleSchema for validating double values. Rejects int (e.g. 42).
  • Ack.number(): Creates a NumberSchema for validating any num value (accepts both int and double).
  • Ack.boolean(): Creates a BooleanSchema for validating bool values.
  • Ack.list(AckSchema itemSchema): Creates a ListSchema for validating arrays. Nullable item schemas are not supported; make the list itself nullable instead.
  • Ack.object(Map<String, AckSchema> properties): Creates an ObjectSchema for validating objects.
  • Ack.enumValues(List<T> values): Creates an EnumSchema<T> for Dart enum types. Parses enum .name strings into typed enum values. Pass typed enum values to encode or safeEncode for the reverse direction. Preferred over enumString when a Dart enum exists.
  • Ack.enumCodec(List<T> values): Like enumValues, but returns a CodecSchema<String, T> instead of an EnumSchema<T>. Use this when downstream code expects every value-shape to be a CodecSchema (e.g. a registry of codecs). The decode and encode functions are identity — the underlying EnumSchema still maps between T and the enum’s .name.
  • Ack.enumString(List<String> values): Creates a StringSchema constrained to the given values. For ad-hoc string lists without a backing Dart enum.
  • Ack.anyOf(List<AckSchema> schemas): Creates an AnyOfSchema for union types.
  • Ack.any(): Creates an AnySchema that accepts any non-null JSON-safe value. Chain .nullable() to allow null.
  • Ack.instance<T extends Object>(): Creates a schema that checks a value is a Dart instance of T (runtime type check; handy as a codec output schema).
  • Ack.codec(...) / Ack.date() / Ack.datetime() / Ack.uri() / Ack.duration() / Ack.enumCodec(...): Create codecs. See Codecs.
  • Ack.lazy(String name, AckSchema Function() builder, {int maxDepth = 100}): Creates a memoized deferred schema reference for recursive schema graphs. maxDepth must be at least 1 and limits parsing, runtime validation, and encoding. JSON Schema export renders Draft-7 definitions / $ref entries using name but warns that the runtime-only depth limit was omitted.
  • Ack.discriminated<T extends Object>(...): Creates a discriminated union schema. Branches may be plain ObjectSchema or transformed schemas whose base is an ObjectSchema. The union owns the discriminator: branches normally omit it, boundary payloads must include it, compatible branch discriminator fields are allowed, and conflicts are rejected. Exported/generated branches expose the exact branch literal.

AckSchema<Boundary, Runtime> (Base Class)

Base class for all schema types.

Primary Validation Methods

  • SchemaResult<Runtime> safeParse(Object? data, {String? debugName}): Validates data and returns a SchemaResult. Invalid input and recoverable Exception values thrown by constraint/refinement callbacks become failures. Error values from those callbacks are rethrown with their original stack trace. Codec/transform decoder failures, including Error values, become SchemaTransformError failures.
  • Runtime? parse(Object? data, {String? debugName}): Validates data and returns the value; throws AckException on failure.
  • SchemaResult<TOut> safeParseAs<TOut extends Object>(Object? data, TOut Function(Runtime?) map, {String? debugName}): Parses and maps the validated value to TOut. Mapper failures, including Error values, become SchemaTransformError failures.
  • TOut parseAs<TOut extends Object>(Object? data, TOut Function(Runtime?) map, {String? debugName}): Throwing variant of safeParseAs.
  • SchemaResult<Boundary> safeEncode(Runtime? value, {String? debugName}): Encodes a runtime value to the boundary representation.
  • Boundary? encode(Runtime? value, {String? debugName}): Throwing variant of safeEncode.

Schema Modification Methods

  • AckSchema<Boundary, Runtime> nullable({bool value = true}): Returns a new schema that also accepts null.
  • AckSchema<Boundary, Runtime> optional({bool value = true}): Returns a new schema marked as optional (for object fields).
  • AckSchema<Boundary, Runtime> describe(String description): Attaches a description for documentation and JSON Schema generation.
  • DefaultSchema<Boundary, Runtime> withDefault(Runtime value): Wraps the schema in a DefaultSchema that supplies value when the parse input is null.

Primitive schemas (StringSchema, IntegerSchema, DoubleSchema, NumberSchema, BooleanSchema) are strict — they reject values whose Dart runtime type doesn’t match. IntegerSchema and DoubleSchema do not overlap (42.0 fails Ack.integer(), 42 fails Ack.double()); use Ack.number() when either is acceptable. For non-num boundary types (e.g. numeric strings), use transform or codec to convert before validation.

Custom Validation Methods

  • AckSchema<Boundary, Runtime> constrain(Constraint<Runtime> constraint, {String? message}): Adds a constraint and optionally overrides its message. The constraint must mix in Validator<Runtime>, or an ArgumentError is thrown.
  • AckSchema<Boundary, Runtime> withConstraint(Constraint<Runtime> constraint): Adds a constraint directly (no message override; constrain delegates here).
  • AckSchema<Boundary, Runtime> refine(bool Function(Runtime) validate, {String message = 'The value did not pass the custom validation.'}): Adds a custom validation predicate with an optional error message.
  • CodecSchema<Boundary, R> transform<R>(R Function(Runtime) transformer): Transforms validated runtime values to R (parse-only; encode fails).

Utility Methods

  • Map<String, Object?> toJsonSchema(): Returns a Draft-7 JSON Schema map via the canonical AckSchemaModel boundary.
  • AckSchemaModel toSchemaModel(): Returns the canonical, target-independent boundary model for schema adapters, including export warnings.
  • Map<String, Object?> toMap(): Serializes the schema for debugging.

See also Schema Types for detailed usage examples.

StringSchema

Schema for validating strings. See String Validation.

Length Constraints

  • minLength(int min): Minimum string length
  • maxLength(int max): Maximum string length
  • length(int exact): Exact string length
  • notEmpty(): String must not be empty (equivalent to minLength(1))

Pattern Matching

  • matches(String pattern, {String? example, String? message}): Must match a regex pattern. Patterns are not automatically anchored — use ^...$ for full-string matching. See String validation for details.
  • contains(String pattern, {String? example, String? message}): Must contain the pattern anywhere in the string.
  • startsWith(String value): Must start with value.
  • endsWith(String value): Must end with value.

Format Validation

  • email(): Must be valid email format
  • url(): Must be valid URL format (alias for uri())
  • uri(): Must be a valid absolute URI with a scheme and host
  • uuid(): Must be valid UUID format
  • ip({int? version}): Must be valid IP address (version 4 or 6)
  • ipv4(): Must be valid IPv4 address
  • ipv6(): Must be valid IPv6 address

Date and Time

  • date(): Must be valid ISO 8601 date (YYYY-MM-DD)
  • datetime(): Must be a valid ISO 8601 datetime; announced RFC leap seconds are accepted and preserved as strings
  • time(): Must be valid time format (HH:MM:SS)

Transformations

  • trim(): Removes leading and trailing whitespace
  • toLowerCase(): Converts to lowercase
  • toUpperCase(): Converts to uppercase

IntegerSchema / DoubleSchema / NumberSchema (Number Schemas)

Schemas for validating numeric values. IntegerSchema only accepts int, DoubleSchema only accepts double, and NumberSchema accepts any num (either int or double). DoubleSchema and NumberSchema reject non-finite values by default. See Number Validation.

Each method’s parameter type matches the schema’s runtime type: int for IntegerSchema, double for DoubleSchema, and num for NumberSchema.

  • min(N limit): Minimum value (inclusive)
  • max(N limit): Maximum value (inclusive)
  • greaterThan(N limit): Must be greater than limit (exclusive)
  • lessThan(N limit): Must be less than limit (exclusive)
  • positive(): Must be greater than 0
  • negative(): Must be less than 0
  • multipleOf(N factor): Must be a multiple of the factor
  • finite(): Must be finite (DoubleSchema and NumberSchema; already the default)
  • safe(): Must be within safe integer range (IntegerSchema only)

BooleanSchema

Schema for validating booleans. Validates true and false values strictly — non-boolean inputs are rejected. For boundary types that arrive as strings (e.g. "true"/"false"), use a transform or codec to convert before validation.

ListSchema<T>

Schema for validating arrays. See List Validation.

  • minItems(int min): Minimum number of items (alias: minLength)
  • maxItems(int max): Maximum number of items (alias: maxLength)
  • exactLength(int exact): Exact number of items (alias: length)
  • nonEmpty(): List must have at least one item (alias: notEmpty)
  • unique(): All items must be unique

ObjectSchema

Schema for validating objects (maps). See Object Validation.

  • Constructed using Ack.object(Map<String, AckSchema> properties, {bool additionalProperties = false}).
  • Use .pick(List<String> keys) to create schema with only specified properties.
  • Use .omit(List<String> keys) to create schema excluding specified properties.
  • Use .extend(Map<String, AckSchema> newProperties) to add more properties.
  • Use .partial() to make all properties optional.
  • Use .strict() to disallow additional properties.
  • Use .passthrough() to allow additional properties not defined in the schema.
  • Use .merge(ObjectSchema other) to combine with another object schema.

SchemaResult<T>

Object returned by safeParse(). See Error Handling.

  • bool isOk: true if validation succeeded.
  • bool isFail: true if validation failed.
  • T? getOrThrow(): Returns the validated value (which can be null for a nullable schema), or throws AckException on failure.
  • T? getOrNull(): Returns the validated value, or null on failure.
  • SchemaError getError(): Returns the validation error; only valid when isFail is true.
  • T? getOrElse(T? Function() orElse): Returns the validated value, or calls orElse on failure.
  • SchemaResult<R> map<R>(R Function(T?) transform): Maps the successful value to a new result type; propagates failures unchanged.
  • R match<R>({required R Function(T?) onOk, required R Function(SchemaError) onFail}): Pattern-matches on success or failure.
  • void ifOk(void Function(T?) action): Executes action only when the result is successful.
  • void ifFail(void Function(SchemaError) action): Executes action only when the result is a failure.

SchemaError (and subclasses)

Represents a validation failure. See Error handling.

  • String message: Human-readable error message.
  • SchemaContext context: Context about where the error occurred.

Subclasses:

  • TypeMismatchError: The input has the wrong Dart runtime type.
  • SchemaConstraintsError: One or more constraint violations.
  • SchemaNestedError: Validation failures in nested objects or arrays.
  • SchemaValidationError: Custom refinement failures.
  • SchemaTransformError: Decode/transform callback failures.
  • SchemaEncodeError: Encode-path failures (non-nullable null, one-way transform, encoder threw, etc.).

Constraint<T>

Base class for custom validation rules. See Custom validation.

  • String constraintKey: Unique identifier for the constraint.
  • String description: Human-readable description.
  • Map<String, Object?> toMap(): Serializes the constraint for debugging.

Validator<T> (mixin)

Validation behavior mixin used with Constraint<T>.

  • bool isValid(T value): Returns true when the value passes validation.
  • String buildMessage(T value): Builds the validation failure message.
  • ConstraintError? validate(T value): Validates a value and returns an error if invalid.

Additional schema types

Ack ships with a broad set of schema factories beyond what is listed here. See Schema types for the full catalogue, including Ack.date(), Ack.literal(), and list/object combinators.

Ack.discriminated(...)

Schema for polymorphic validation based on a string discriminator property.

  • Branch schemas normally omit the discriminator field.
  • The boundary payload must still contain the discriminator key.
  • If a branch schema includes the discriminator field, it must be Ack.literal(...) matching the branch key or Ack.enumString(...) containing it. Broad, transformed, refined, or otherwise restrictive discriminator fields are rejected.
  • Exported and generated schemas expose each branch discriminator as an exact literal.
  • Generated subtype parse() and safeParse() methods validate through the union’s effective branch.

Ack.lazy(...)

Schema reference for recursive object graphs.

  • Created using Ack.lazy<Boundary, Runtime>(name, builder). maxDepth defaults to 100 and must be at least 1; pass it explicitly only to override the default.
  • The builder is resolved once and memoized.
  • Exceeding maxDepth returns a validation failure during parsing, runtime validation, or encoding.
  • toJsonSchema() and toSchemaModel() export Draft-7 definitions / $ref entries using the lazy name. The runtime-only depth limit cannot be represented by $ref, so exported schema models warn that it was omitted.
  • Bare or wrapped lazy schemas cannot be used as discriminated-union branches because the branch discriminator must be analyzable at construction time.

Code generation annotations

Use the ack_generator builder to turn annotations into extension types. After adding the annotations below, run:

dart run build_runner build

@AckType()

Target: Schema variables and getters

Generates: An extension type wrapper around the existing schema

Annotate a schema variable or getter to generate an extension type wrapper. The schema stays in your source file.

Supported schema types:

  • Ack.object({...}) → Object extension types
  • Primitives: Ack.string(), Ack.integer(), Ack.double(), Ack.boolean()
  • Collections: Ack.list(...)
  • Enums: Ack.literal(), Ack.enumString(), Ack.enumValues()
  • Discriminated unions: Ack.discriminated(...)

Unsupported: Ack.any(), Ack.anyOf()

For Ack.discriminated(...) constraints with @AckType, see Type-safe Schemas.

Example:

@AckType()
final userSchema = Ack.object({
  'name': Ack.string(),
  'email': Ack.string().email(),
});
 
// Generated:
// - extension type UserType(Map<String, Object?> _data) { ... }
// - The schema variable remains unchanged
 
// Usage:
final user = UserType.parse({'name': 'Alice', 'email': 'alice@example.com'});
print(user.name);  // Type-safe String access
print(user.email); // Type-safe String access

EnumSchema<T>

Schema for mapping enum .name strings at the boundary to typed enum values at runtime. Created using Ack.enumValues(List<T> values) where T extends Enum; encode and safeEncode map typed enum values back to their names.

AnyOfSchema

Schema for union types; the value must match one of several schemas. Created using Ack.anyOf(List<AckSchema> schemas).

DiscriminatedObjectSchema

Schema for polymorphic validation based on a discriminator field.

  • Created using Ack.discriminated<T extends Object>(...) with discriminatorKey and schemas.
  • effectiveBranch(String discriminatorValue): Returns the branch schema with the discriminator injected as the exact branch literal. Generated subtypes use this to validate a specific branch.

AckSchemaModel

Canonical export model for Ack schemas.

  • Created by schema.toSchemaModel().
  • Represents the boundary/export shape, JSON-compatible defaults, discriminator metadata, target-independent constraints, and export warnings.
  • schema.toSchemaModel().toJsonSchema() returns the same Draft-7 map as schema.toJsonSchema().
  • Adapters that need a JSON map should call schema.toJsonSchema(); adapters for non-JSON targets should convert from AckSchemaModel rather than traversing AckSchema subclasses directly.

AnySchema

Accepts any non-null JSON-safe value without further validation.

  • Created by Ack.any().
  • Useful for dynamic payloads or pass-through metadata.

CodecSchema<Boundary, Runtime>

Schema that decodes boundary values into runtime values and encodes runtime values back to the boundary representation. Use encode / safeEncode for the reverse direction. See Codecs.

  • schema.transform<R>(R Function(Runtime) transformer): one-way transform (parse only; encode fails with a one-way error).
  • schema.codec<R>({required R Function(Runtime) decode, required Runtime Function(R) encode, AckSchema<dynamic, R>? output}): bidirectional codec; the optional output schema validates the runtime value.
  • Ack.codec<Boundary, InputRuntime, Runtime>({required input, required decode, required encode, output}): builds a codec from an input schema.

Built-in codecs:

  • Ack.date() → CodecSchema<String, DateTime> (ISO YYYY-MM-DD ↔ local-midnight DateTime)
  • Ack.datetime() → CodecSchema<String, DateTime> (ISO 8601 ↔ UTC DateTime; leap-second strings are rejected because Dart cannot represent them)
  • Ack.uri() → CodecSchema<String, Uri> (absolute URI string ↔ Uri)
  • Ack.duration() → CodecSchema<int, Duration> (milliseconds ↔ Duration)
  • Ack.enumCodec(List<T> values) → CodecSchema<String, T> (enum .name ↔ enum value)

Optional schemas

Every schema can be marked optional via the optional({bool value = true}) fluent API.

  • schema.optional() sets isOptional to true without wrapping the schema.
  • schema.optional(value: false) clears the optional flag.
  • Optional affects object-field presence only; combine with .nullable() to also allow explicit null.

See the Schema types guide for detailed usage and examples.

Last updated on
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