use TextHumanize\TextHumanize;

// Humanize text
$result = TextHumanize::humanize("Your text here");
echo $result->processed;

// Analyze text for artificiality markers
$report = TextHumanize::analyze("Text to check");
echo "Artificiality score: {$report->artificialityScore}%";

// Get detailed explanation
$explanation = TextHumanize::explain("Text to explain");
print_r($explanation['recommendations']);

$result = TextHumanize::humanize(
    text: "Your text here",
    lang: null,           // Auto-detect language (or 'en', 'ru', 'de', etc.)
    profile: 'web',       // chat | web | seo | docs | formal
    intensity: 50,        // 0–100, processing strength
    preserve: [
        'keywords' => ['Brand'],
        'brands' => ['CompanyName'],
    ],
    constraints: [
        'max_length' => 5000,
    ],
    seed: 42,             // Reproducible results
);

echo $result->processed;        // Processed text
echo $result->lang;             // Detected language
echo $result->profile;          // Applied profile
echo $result->getChangeRatio(); // 0.0 – 1.0
print_r($result->changes);     // List of applied stages

$result = TextHumanize::humanizeChunked(
    text: $longText,
    chunkSize: 5000,      // Max characters per chunk
    lang: 'en',
    profile: 'web',
    intensity: 50,
);

$texts = [
    "First text to humanize.",
    "Second text to humanize.",
    "Third text to humanize.",
];

$results = TextHumanize::humanizeBatch(
    texts: $texts,
    lang: 'en',
    profile: 'web',
    intensity: 50,
    seed: 42,
);

foreach ($results as $i => $result) {
    echo "Text {$i}: {$result->processed}\n";
}

$report = TextHumanize::analyze("Text to analyze", lang: 'en');

echo $report->artificialityScore;    // 0–100
echo $report->bureaucraticRatio;     // Formal language ratio
echo $report->connectorRatio;        // AI connector frequency
echo $report->repetitionScore;       // Word repetition level
echo $report->burstinessScore;       // Sentence length variation
echo $report->totalWords;
echo $report->totalSentences;
echo $report->avgSentenceLength;

$array = $report->toArray();

$explanation = TextHumanize::explain("Text", profile: 'chat', intensity: 70);

// Returns:
// [
//     'before' => [...],
//     'after' => [...],
//     'recommendations' => [...],
//     'changes' => [...],
//     'change_ratio' => 0.15,
//     'summary' => '...',
// ]

use TextHumanize\ToneAnalyzer;

$analyzer = new ToneAnalyzer('en');
$report = $analyzer->analyze("This is a formal document regarding the implementation.");

echo $report->primaryTone;    // "formal"
echo $report->formality;      // 0.8
echo $report->subjectivity;   // 0.2

// Adjust tone
$adjusted = $analyzer->adjust("Obtain the data", 'informal');
echo $adjusted; // "Get the data"

use TextHumanize\Pipeline\Pipeline;

// Add a plugin that runs after the typography stage
Pipeline::registerPlugin(
    plugin: function (string $text, string $lang, string $profile, int $intensity): string {
        return str_replace('...', '…', $text);
    },
    after: 'typography',
);

// Available stages: segmentation, typography, debureaucratize,
// structure, repetitions, liveliness, universal, naturalize, validation, restore

Pipeline::clearPlugins(); // Remove all plugins