{% extends "base.html" %}

{% block title %}Tokenization - NLP Ultimate Tutorial{% endblock %}

{% block content %}
<div class="container">
    <!-- Header Section -->
    <div class="row mb-4">
        <div class="col-12">
            <div class="card">
                <div class="card-header">
                    <h1 class="mb-0">
                        <i class="fas fa-cut"></i>
                        Tokenization
                    </h1>
                </div>
                <div class="card-body">
                    <p class="lead">Break text into smaller units called tokens using various tokenization methods.</p>
                    
                    <div class="alert alert-info">
                        <i class="fas fa-info-circle"></i>
                        <strong>About:</strong> Tokenization is the process of breaking text into smaller units called tokens, which can be words, characters, or subwords.
                    </div>
                </div>
            </div>
        </div>
    </div>

    {% include "_analysis_nav.html" %}

    <!-- Text Input Section -->
    <div class="row mb-4">
        <div class="col-12">
            <div class="card">
                <div class="card-header">
                    <h3 class="mb-0">
                        <i class="fas fa-keyboard"></i>
                        Enter your text:
                    </h3>
                </div>
                <div class="card-body">
                    <div class="row mb-3">
                        <div class="col-md-8">
                            <textarea id="textInput" class="form-control" rows="6" placeholder="Enter or paste your text here...">The quick brown fox jumps over the lazy dog. It was a beautiful day in May of 2023!</textarea>
                        </div>
                        <div class="col-md-4">
                            <label for="sampleSelect" class="form-label">Or choose a sample:</label>
                            <select id="sampleSelect" class="form-select">
                                <option value="Custom">Custom</option>
                                <option value="News Article">News Article</option>
                                <option value="Product Review">Product Review</option>
                                <option value="Scientific Text">Scientific Text</option>
                                <option value="Literary Text">Literary Text</option>
                            </select>
                        </div>
                    </div>
                    
                    <div class="d-flex justify-content-between align-items-center">
                        <div>
                            <button id="processBtn" class="btn btn-primary btn-lg">
                                <i class="fas fa-cut"></i>
                                Analyze Tokens
                            </button>
                        </div>
                        <div>
                            <button id="clearBtn" class="btn btn-outline-secondary">
                                <i class="fas fa-trash"></i>
                                Clear
                            </button>
                        </div>
                    </div>
                </div>
            </div>
        </div>
    </div>

    <!-- Tokenization Methods Info -->
    <div class="row mb-4">
        <div class="col-12">
            <div class="card">
                <div class="card-header">
                    <h3 class="mb-0">
                        <i class="fas fa-info-circle"></i>
                        Tokenization Methods
                    </h3>
                </div>
                <div class="card-body">
                    <div class="row">
                        <div class="col-md-3">
                            <div class="card h-100">
                                <div class="card-body text-center">
                                    <i class="fas fa-font fa-2x text-primary mb-2"></i>
                                    <h5>Word Tokenization</h5>
                                    <p class="small">Splits text into individual words and punctuation marks using NLTK.</p>
                                </div>
                            </div>
                        </div>
                        <div class="col-md-3">
                            <div class="card h-100">
                                <div class="card-body text-center">
                                    <i class="fas fa-paragraph fa-2x text-success mb-2"></i>
                                    <h5>Sentence Tokenization</h5>
                                    <p class="small">Divides text into sentences using punctuation and linguistic rules.</p>
                                </div>
                            </div>
                        </div>
                        <div class="col-md-3">
                            <div class="card h-100">
                                <div class="card-body text-center">
                                    <i class="fas fa-brain fa-2x text-info mb-2"></i>
                                    <h5>Linguistic Tokenization</h5>
                                    <p class="small">Advanced tokenization with spaCy including POS tags and dependencies.</p>
                                </div>
                            </div>
                        </div>
                        <div class="col-md-3">
                            <div class="card h-100">
                                <div class="card-body text-center">
                                    <i class="fas fa-puzzle-piece fa-2x text-warning mb-2"></i>
                                    <h5>Subword Tokenization</h5>
                                    <p class="small">Breaks words into smaller units using BERT WordPiece and GPT-2 BPE.</p>
                                </div>
                            </div>
                        </div>
                    </div>
                </div>
            </div>
        </div>
    </div>

    <!-- Results Section -->
    <div class="row">
        <div class="col-12">
            <div class="card">
                <div class="card-header">
                    <h3 class="mb-0">
                        <i class="fas fa-chart-bar"></i>
                        Tokenization Results
                    </h3>
                </div>
                <div class="card-body">
                    <div id="resultsContainer">
                        <div class="text-center text-muted py-5">
                            <i class="fas fa-arrow-up fa-2x mb-3"></i>
                            <p>Click "Analyze Tokens" to see tokenization results</p>
                        </div>
                    </div>
                </div>
            </div>
        </div>
    </div>
</div>
{% endblock %}

{% block extra_scripts %}
<script>
// Initialize page
document.addEventListener('DOMContentLoaded', function() {
    // Only carry over when using Quick Nav; otherwise leave defaults
    const shouldCarry = sessionStorage.getItem('carryTextOnNextPage') === '1';
    if (shouldCarry) {
        const sampleSel = document.getElementById('sampleSelect');
        if (sampleSel) sampleSel.value = 'Custom';
        const storedText = sessionStorage.getItem('analysisText');
        if (storedText) document.getElementById('textInput').value = storedText;
        sessionStorage.removeItem('carryTextOnNextPage');
    }
    
    // Sample text dropdown handler
    document.getElementById('sampleSelect').addEventListener('change', function() {
        const sampleType = this.value;
        const textInput = document.getElementById('textInput');
        
        if (sampleType === 'Custom') {
            textInput.value = '';
        } else {
            // Get sample text from server
            fetch('/api/sample-text', {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json',
                },
                body: JSON.stringify({sample_type: sampleType})
            })
            .then(response => response.json())
            .then(data => {
                textInput.value = data.text;
            });
        }
    });
    
    // Process button handler
    document.getElementById('processBtn').addEventListener('click', function() {
        const text = document.getElementById('textInput').value.trim();
        
        if (!text) {
            alert('Please enter some text to tokenize.');
            return;
        }
        
        // Show loading state
        this.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Processing...';
        this.disabled = true;
        
        // Process text
        processTokenization();
        
        // Reset button after a delay
        setTimeout(() => {
            this.innerHTML = '<i class="fas fa-cut"></i> Analyze Tokens';
            this.disabled = false;
        }, 2000);
    });
    
    // Clear button handler
    document.getElementById('clearBtn').addEventListener('click', function() {
        document.getElementById('textInput').value = '';
        document.getElementById('resultsContainer').innerHTML = `
            <div class="text-center text-muted py-5">
                <i class="fas fa-arrow-up fa-2x mb-3"></i>
                <p>Click "Analyze Tokens" to see tokenization results</p>
            </div>
        `;
    });
    
    // Keyboard shortcuts
    document.addEventListener('keydown', function(e) {
        // Ctrl+Enter to process
        if (e.ctrlKey && e.key === 'Enter') {
            document.getElementById('processBtn').click();
        }
        
        // Ctrl+L to clear
        if (e.ctrlKey && e.key === 'l') {
            e.preventDefault();
            document.getElementById('clearBtn').click();
        }
    });
});

// Process tokenization
function processTokenization() {
    const text = document.getElementById('textInput').value.trim();
    
    if (!text) {
        alert('Please enter some text to tokenize.');
        return;
    }
    
    showLoading('resultsContainer');
    
    fetch('/api/tokenization', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
        },
        body: JSON.stringify({text: text})
    })
    .then(response => response.json())
    .then(data => {
        if (data.success) {
            displayResults(data.result);
        } else {
            showError(data.error || 'An error occurred while processing the text');
        }
    })
    .catch(error => {
        showError('Failed to process text: ' + error.message);
    })
    .finally(() => {
        hideLoading('resultsContainer');
    });
}

// Show loading state
function showLoading(elementId) {
    const element = document.getElementById(elementId);
    if (element) {
        element.innerHTML = `
            <div class="text-center py-4">
                <div class="spinner-border text-primary" role="status">
                    <span class="visually-hidden">Loading...</span>
                </div>
                <p class="mt-2">Analyzing tokens...</p>
            </div>
        `;
    }
}

// Hide loading state
function hideLoading(elementId) {
    const element = document.getElementById(elementId);
    if (element && element.innerHTML.includes('spinner-border')) {
        element.innerHTML = '';
    }
}

// Show error message
function showError(message, elementId = 'resultsContainer') {
    const element = document.getElementById(elementId);
    if (element) {
        element.innerHTML = `
            <div class="alert alert-danger fade-in">
                <i class="fas fa-exclamation-triangle"></i>
                <strong>Error:</strong> ${message}
            </div>
        `;
    }
}

// Display results
function displayResults(result) {
    const container = document.getElementById('resultsContainer');
    if (container) {
        container.innerHTML = result;
        container.classList.add('fade-in');
        
        // Scroll to results
        container.scrollIntoView({ behavior: 'smooth', block: 'start' });
    }
}
</script>
{% endblock %}