### Install Laravel Mirror Package via Composer

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Installs the Laravel Mirror package using Composer.

```bash
composer require "snowbuilds/laravel-mirror:^0.0.3-alpha"
```

--------------------------------

### Running the Recommendation Sync Command (Bash)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Provides the command-line instruction to manually trigger the Laravel Mirror recommendation sync process. This command calculates and stores recommendations in the database, making them available for retrieval.

```bash
php artisan mirror:sync
```

--------------------------------

### Running Package Tests (Bash)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Provides the command-line instruction to execute the test suite for the Laravel Mirror package using Composer.

```bash
composer test
```

--------------------------------

### Publish Laravel Mirror Service Provider

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Publishes the configuration and assets for the Laravel Mirror package using the Artisan command.

```bash
php artisan vendor:publish --provider="SnowBuilds\Mirror\MirrorServiceProvider"
```

--------------------------------

### Registering Recommendations with Associative Array (PHP)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Demonstrates how to register recommendation algorithms and their weights using an associative array within the `registerRecommendations` method. This approach helps organize multiple custom algorithms and their corresponding weights for better readability.

```php
public function registerRecommendations(): void
{
    $this->registerStrategy(Post::class)
        ->using([
            'titles' => fn ($a, $b) => Algorithm::levenshtein($a->title, $b->title),
            'tags' => fn ($a, $b) => Algorithm::levenshtein($a->tags, $b->tags),
        ])
        ->weights([
            'titles' => 2,
            'tags' => 1,
        ]);
}
```

--------------------------------

### Register Strategy Comparing Different Properties

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Registers a recommendation strategy for the User model comparing different properties (biography to post title, communities to post tags) using Levenshtein and Euclidean algorithms with weights.

```php
class User extends Model
{
    use Recommendations;

    public function registerRecommendations(): void
    {
        $this->registerStrategy(Post::class)
            ->levenshtein('biography', 'title', 1); // compare biography to post title
            ->euclidean('communities', 'tags', 3); // compare communities to post tags
    }
}
```

--------------------------------

### Scheduling the Recommendation Sync Command (PHP)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Shows how to schedule the `mirror:sync` Artisan command within the Laravel kernel's `schedule` method. This is the recommended approach for production environments to automate the recommendation generation process, typically daily.

```php
class Kernel extends ConsoleKernel
{
    protected function schedule(Schedule $schedule): void
    {
        $schedule->command('mirror:sync')->daily();
    }
}
```

--------------------------------

### Using a Custom Recommendation Algorithm Macro (PHP)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Illustrates how to use a previously defined custom algorithm macro (e.g., `huggingFace`) within the `registerRecommendations` method of a model. This simplifies the recommendation strategy definition.

```php
// Model.php
class User extends Model 
{
    public function registerRecommendations(): void
    {
        $this->registerStrategy(User::class)
            ->euclidean('follewers')
            ->huggingFace('activity')
            ->levenshtein('bio');
    }
}
```

--------------------------------

### Register Basic Recommendation Strategy (Levenshtein)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Registers a recommendation strategy for the Post model using the Levenshtein algorithm to compare the 'title' property. Requires the Recommendations trait.

```php
use SnowBuilds\Mirror\Concerns\Recommendations;
use SnowBuilds\Mirror\Mirror;

class Post extends Model
{
    use Recommendations;

    public function registerRecommendations(): void
    {
        $this->registerStrategy(Post::class)
            ->levenshtein('title');
    }
}
```

--------------------------------

### Combine Weights with Custom Algorithms

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Registers a recommendation strategy using multiple custom closures for scoring (Levenshtein on title, Euclidean on tags) and applies specific weights to each custom algorithm.

```php
public function registerRecommendations(): void
{
    $this->registerStrategy(Post::class)
        ->using(function ($a, $b) {
            return Algorithm::levenshtein($a->title, $b->title);
        })
        ->using(function ($a, $b) {
            return Algorithm::euclidean($a->tags, $b->tags);
        })
        ->weights([2,1]);
}
```

--------------------------------

### Defining a Custom Recommendation Algorithm Macro (PHP)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Shows how to define a custom recommendation algorithm as a macro on the `ScoringStrategy` class. This allows extracting complex algorithm logic into a reusable method, creating a cleaner API like `->huggingFace`.

```php
// ServiceProvider.php
ScoringStrategy::macro('huggingFace', function (...$args) {
  return $this->registerAlgorithm(
    fn($a, $b) => HuggingFace::invokeEmbedding($a, $b),
    ...$args
  );
});
```

--------------------------------

### Register Weighted Recommendation Strategy (Levenshtein & Euclidean)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Registers a recommendation strategy combining Levenshtein on 'title' (weight 2) and Euclidean on 'tags' (weight 1) to create a weighted average score.

```php
public function registerRecommendations(): void
{
    $this->registerStrategy(Post::class)
        ->levenshtein('title', 2)
        ->euclidean('tags', 1);
}
```

--------------------------------

### Defining a Morph Recommendation Relationship (PHP)

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Explains how to define a polymorphic relationship to recommended content using the `morphRecommendation` trait method within a model. This allows fetching recommended items (like Recipes) directly via a model relationship, ordered by suggestion score.

```php
class User extends Authenticatable
{
    use Recommendations;

    public function recommendedRecipes() {
        return $this->morphRecommendation(Recipe::class);
    }
}
```

--------------------------------

### Register Custom Recommendation Algorithm

Source: https://github.com/snowlaboratory/laravel-mirror/blob/main/README.md

Registers a recommendation strategy for the User model using a custom closure to define the scoring algorithm, comparing user and post names with Levenshtein.

```php
class User extends Model
{
    public function registerRecommendations(): void
    {
        $this->registerStrategy(Post::class)
            ->using(function (User $a, Post $b) {
                return Algorithm::levenshtein($a->name, $b->name);
            });
    }
}
```

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