# Ack

> A schema validation library for Dart and Flutter with a fluent runtime API and `@AckType()`-driven extension-type generation. Version 1.0.0-beta.11.

Ack validates external data with hand-written schemas built using the `Ack`
factory. When you want typed wrappers over validated values, annotate top-level
schema variables or getters with `@AckType()` and run `ack_generator`.

## Packages

1. `ack`: core runtime validation library
2. `ack_annotations`: exposes `@AckType()`
3. `ack_generator`: generates extension types for annotated top-level schemas
4. `ack_firebase_ai`: converts Ack schemas to Firebase AI structured-output schemas

## Core runtime usage

```dart
import 'package:ack/ack.dart';

final userSchema = Ack.object({
  'name': Ack.string().minLength(2),
  'email': Ack.string().email(),
  'age': Ack.integer().min(0).optional(),
});

final result = userSchema.safeParse({
  'name': 'Alice',
  'email': 'alice@example.com',
});
```

## AckType generation

`@AckType()` is supported only on:

- top-level schema variables
- top-level schema getters

It is not supported on classes or instance members.

Example:

```dart
import 'package:ack/ack.dart';
import 'package:ack_annotations/ack_annotations.dart';

part 'user_schema.g.dart';

@AckType()
final addressSchema = Ack.object({
  'street': Ack.string(),
  'city': Ack.string(),
});

@AckType()
final userSchema = Ack.object({
  'name': Ack.string(),
  'address': addressSchema,
});
```

Generated capabilities:

- `UserType.parse(data)`
- `UserType.safeParse(data)`
- typed getters such as `String get name` and `AddressType get address`

## Supported AckType schema shapes

- `Ack.object(...)`
- `Ack.string()`
- `Ack.integer()`
- `Ack.double()`
- `Ack.boolean()`
- `Ack.list(...)`
- `Ack.literal(...)`
- `Ack.enumString(...)`
- `Ack.enumValues(...)`
- explicit transforms such as `.transform<Uri>(...)`
- `Ack.discriminated(...)` with the constraints below

Not supported for extension-type generation:

- `Ack.any()`
- `Ack.anyOf()`
- transformed object schemas
- transformed discriminated schemas

## Discriminated AckType schemas

`Ack.discriminated(...)` works with `@AckType()` when:

- the base schema is a top-level `@AckType()` declaration
- `schemas` is a non-empty map literal
- each branch is a top-level schema variable/getter reference
- each branch is an `@AckType()` object schema
- each branch is non-nullable
- each branch is declared in the same library as the base
- each branch defines the discriminator field with `Ack.literal(...)`
- the literal value matches the branch key

Example:

```dart
@AckType()
final catSchema = Ack.object({
  'type': Ack.literal('cat'),
  'lives': Ack.integer(),
});

@AckType()
final dogSchema = Ack.object({
  'type': Ack.literal('dog'),
  'breed': Ack.string(),
});

@AckType()
final petSchema = Ack.discriminated(
  discriminatorKey: 'type',
  schemas: {
    'cat': catSchema,
    'dog': dogSchema,
  },
);
```

## Resolution rules

AckType generation is intentionally strict:

- nested object fields must reference named top-level schemas
- inline anonymous object schemas are rejected for typed generation
- cross-file direct imports, prefixed imports, and re-exports are supported
- unannotated object schema references fail generation instead of silently falling back to raw maps
- circular schema alias/reference chains fail generation

## Runtime API reminders

- `schema.parse(data)` throws on invalid input
- `schema.safeParse(data)` returns `SchemaResult<T>`
- `SchemaResult<T>.getOrThrow()` returns the validated value or throws `AckException`
- `.optional()` allows a field to be omitted
- `.nullable()` allows a present field to hold `null`
- object schemas support `additionalProperties: true`

## Build command

```bash
dart run build_runner build --delete-conflicting-outputs
```