// InfoStream Nexus - Main JavaScript

// Global State
const state = {
    currentFilter: 'all',
    darkMode: false,
    aiArticles: [],
    scienceArticles: [],
    techArticles: [],
    nhlNews: [],
    mcdavidStats: null,
    lastUpdated: null
};

// API Endpoints and Data Sources
const ENDPOINTS = {
    // Using HackerNews API for tech/AI news
    hackernew: 'https://hacker-news.firebaseio.com/v0',
    // Reddit for various topics
    reddit: {
        ai: 'https://www.reddit.com/r/artificial/hot.json?limit=10',
        technology: 'https://www.reddit.com/r/technology/hot.json?limit=10',
        science: 'https://www.reddit.com/r/science/hot.json?limit=10',
        hockey: 'https://www.reddit.com/r/hockey/hot.json?limit=10'
    },
    // NHL API (proxy through statsapi)
    nhl: 'https://statsapi.web.nhl.com/api/v1',
    // NewsAPI (would need key, using fallback)
    news: 'https://newsapi.org/v2'
};

// Initialize App
document.addEventListener('DOMContentLoaded', () => {
    initializeTheme();
    loadAllData();
    setupEventListeners();
    startAutoRefresh();
});

// Theme Management
function initializeTheme() {
    const savedTheme = localStorage.getItem('theme');
    const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
    
    if (savedTheme === 'dark' || (!savedTheme && prefersDark)) {
        document.documentElement.classList.add('dark');
        state.darkMode = true;
    }
}

function toggleTheme() {
    state.darkMode = !state.darkMode;
    document.documentElement.classList.toggle('dark');
    localStorage.setItem('theme', state.darkMode ? 'dark' : 'light');
    
    // Dispatch event for components
    window.dispatchEvent(new CustomEvent('themechange', { detail: { dark: state.darkMode } }));
}

// Data Fetching Functions
async function loadAllData() {
    try {
        await Promise.all([
            fetchAINews(),
            fetchScienceNews(),
            fetchTechNews(),
            fetchNHLNews(),
            fetchMcDavidStats()
        ]);
        
        state.lastUpdated = new Date();
        updateLastUpdated();
        
    } catch (error) {
        console.error('Error loading data:', error);
        loadFallbackData();
    }
}

async function fetchRedditData(subreddit) {
    try {
        const response = await fetch(`https://www.reddit.com/r/${subreddit}/hot.json?limit=12&t=day`);
        if (!response.ok) throw new Error('Reddit API error');
        const data = await response.json();
        return data.data.children.map(post => ({
            id: post.data.id,
            title: post.data.title,
            url: post.data.url,
            permalink: `https://reddit.com${post.data.permalink}`,
            author: post.data.author,
            score: post.data.score,
            comments: post.data.num_comments,
            created: new Date(post.data.created_utc * 1000),
            thumbnail: post.data.thumbnail && post.data.thumbnail !== 'self' && post.data.thumbnail !== 'default' 
                ? post.data.thumbnail 
                : null,
            subreddit: post.data.subreddit
        }));
    } catch (error) {
        console.error(`Error fetching r/${subreddit}:`, error);
        return [];
    }
}

async function fetchAINews() {
    // Combine Reddit AI with HackerNews AI-related stories
    const [redditAI, hnStories] = await Promise.all([
        fetchRedditData('artificial'),
        fetchHackerNewsByTopic(['artificial intelligence', 'machine learning', 'AI', 'LLM', 'ChatGPT'])
    ]);
    
    state.aiArticles = [...redditAI.slice(0, 6), ...hnStories.slice(0, 6)]
        .sort((a, b) => b.score - a.score)
        .slice(0, 9);
    
    renderAIGrid();
}

async function fetchHackerNewsByTopic(keywords) {
    try {
        // Get top stories
        const topResponse = await fetch(`${ENDPOINTS.hackernew}/topstories.json`);
        const topIds = (await topResponse.json()).slice(0, 50);
        
        // Fetch details for each story
        const stories = await Promise.all(
            topIds.slice(0, 30).map(async id => {
                try {
                    const resp = await fetch(`${ENDPOINTS.hackernew}/item/${id}.json`);
                    return await resp.json();
                } catch {
                    return null;
                }
            })
        );
        
        // Filter AI-related stories
        const aiStories = stories.filter(story => {
            if (!story || !story.title) return false;
            const titleLower = story.title.toLowerCase();
            return keywords.some(kw => titleLower.includes(kw.toLowerCase()));
        });
        
        return aiStories.map(s => ({
            id: s.id,
            title: s.title,
            url: s.url || `https://news.ycombinator.com/item?id=${s.id}`,
            permalink: `https://news.ycombinator.com/item?id=${s.id}`,
            author: s.by,
            score: s.score,
            comments: s.descendants || 0,
            created: new Date(s.time * 1000),
            thumbnail: null,
            source: 'HackerNews'
        }));
    } catch (error) {
        console.error('HN fetch error:', error);
        return [];
    }
}

async function fetchScienceNews() {
    const scienceData = await Promise.all([
        fetchRedditData('science'),
        fetchRedditData('space'),
        fetchRedditData('Futurology')
    ]);
    
    state.scienceArticles = scienceData.flat()
        .sort((a, b) => b.score - a.score)
        .slice(0, 9);
    
    renderScienceGrid();
}

async function fetchTechNews() {
    const techData = await Promise.all([
        fetchRedditData('technology'),
        fetchRedditData('gadgets'),
        fetchHackerNewsTech()
    ]);
    
    state.techArticles = techData.flat()
        .sort((a, b) => b.score - a.score)
        .slice(0, 9);
    
    renderTechGrid();
}

async function fetchHackerNewsTech() {
    try {
        const response = await fetch(`${ENDPOINTS.hackernew}/topstories.json`);
        const ids = (await response.json()).slice(0, 20);
        
        const stories = await Promise.all(
            ids.map(async id => {
                try {
                    const resp = await fetch(`${ENDPOINTS.hackernew}/item/${id}.json`);
                    const data = await resp.json();
                    return {
                        id: data.id,
                        title: data.title,
                        url: data.url || `https://news.ycombinator.com/item?id=${data.id}`,
                        permalink: `https://news.ycombinator.com/item?id=${data.id}`,
                        author: data.by,
                        score: data.score,
                        comments: data.descendants || 0,
                        created: new Date(data.time * 1000),
                        thumbnail: null,
                        source: 'HackerNews'
                    };
                } catch {
                    return null;
                }
            })
        );
        
        return stories.filter(s => s !== null);
    } catch (error) {
        return [];
    }
}

async function fetchNHLNews() {
    const hockeyData = await Promise.all([
        fetchRedditData('hockey'),
        fetchRedditData('EdmontonOilers'),
        fetchMcDavidSpecificNews()
    ]);
    
    state.nhlNews = hockeyData.flat()
        .filter(post => 
            post.title.toLowerCase().includes('mcdavid') ||
            post.title.toLowerCase().includes('oilers') ||
            post.title.toLowerCase().includes('nhl')
        )
        .slice(0, 9);
    
    renderNHLGrid();
}

async function fetchMcDavidSpecificNews() {
    // Simulated specialized McDavid news aggregation
    const mockMcDavidNews = [
        {
            id: 'mcdavid-1',
            title: 'Connor McDavid reaches 100 points in record time',
            url: '#',
            permalink: '#',
            author: 'NHL_Updates',
            score: 15000,
            comments: 892,
            created: new Date(),
            thumbnail: 'https://static.photos/sport/640x360/97',
            source: 'NHL Network'
        },
        {
            id: 'mcdavid-2',
            title: 'McDavid vs. The Great One: Point pace comparison',
            url: '#',
            permalink: '#',
            author: 'HockeyStats',
            score: 12500,
            comments: 654,
            created: new Date(Date.now() - 86400000),
            thumbnail: null,
            source: 'The Athletic'
        }
    ];
    return mockMcDavidNews;
}

// McDavid Statistics
async function fetchMcDavidStats() {
    try {
        // Using NHL API for player stats
        const response = await fetch(`${ENDPOINTS.nhl}/people/8478402/stats?stats=statsSingleSeason&season=20232024`);
        const data = await response.json();
        
        if (data.stats && data.stats[0] && data.stats[0].splits[0]) {
            const stats = data.stats[0].splits[0].stat;
            state.mcdavidStats = {
                goals: stats.goals,
                assists: stats.assists,
                points: stats.points,
                games: stats.games,
                plusMinus: stats.plusMinus,
                shots: stats.shots,
                shootingPct: stats.shotPct,
                timeOnIce: stats.timeOnIcePerGame
            };
        } else {
            // Fallback to realistic simulated data
            state.mcdavidStats = {
                goals: 42,
                assists: 68,
                points: 110,
                games: 52,
                plusMinus: 28,
                shots: 198,
                shootingPct: 21.2,
                timeOnIce: '22:15'
            };
        }
        
        updateMcDavidDisplay();
    } catch (error) {
        console.error('Error fetching McDavid stats:', error);
        // Fallback data
        state.mcdavidStats = {
            goals: 42,
            assists: 68,
            points: 110,
            games: 52,
            plusMinus: 28,
            shots: 198,
            shootingPct: 21.2,
            timeOnIce: '22:15'
        };
        updateMcDavidDisplay();
    }
}

function updateMcDavidDisplay() {
    const stats = state.mcdavidStats;
    if (!stats) return;
    
    // Update hero stats
    const statElements = document.querySelectorAll('#mcdavid-stats > div > div:first-child');
    if (statElements.length >= 4) {
        statElements[0].textContent = stats.goals;
        statElements[1].textContent = stats.assists;
        statElements[2].textContent = stats.points;
        statElements[3].textContent = stats.games;
    }
    
    // Update hero counter
    const heroCounter = document.getElementById('mcdavid-points');
    if (heroCounter) {
        heroCounter.textContent = stats.points;
    }
}

// Rendering Functions
function renderAIGrid() {
    const grid = document.getElementById('ai-grid');
    if (!grid || !state.aiArticles.length) return;
    
    grid.innerHTML = state.aiArticles.map((article, index) => createNewsCard(article, 'ai', index)).join('');
    attachCardEvents(grid);
}

function renderScienceGrid() {
    const grid = document.getElementById('science-grid');
    if (!grid || !state.scienceArticles.length) return;
    
    grid.innerHTML = state.scienceArticles.map((article, index) => createNewsCard(article, 'science', index)).join('');
    attachCardEvents(grid);
}

function renderTechGrid() {
    const grid = document.getElementById('tech-grid');
    if (!grid || !state.techArticles.length) return;
    
    grid.innerHTML = state.techArticles.map((article, index) => createNewsCard(article, 'tech', index)).join('');
    attachCardEvents(grid);
}

function renderNHLGrid() {
    const grid = document.getElementById('nhl-grid');
    if (!grid || !state.nhlNews.length) return;
    
    grid.innerHTML = state.nhlNews.map((article, index) => createNewsCard(article, 'nhl', index)).join('');
    attachCardEvents(grid);
}

function createNewsCard(article, category, index) {
    const priority = index < 3 ? 'high' : index < 6 ? 'medium' : 'low';
    const categoryColors = {
        ai: 'from-primary-500 to-secondary-500',
        science: 'from-emerald-500 to-teal-500',
        tech: 'from-amber-500 to-orange-500',
        nhl: 'from-orange-500 to-blue-600'
    };
    
    const tagColors = {
        ai: 'bg-blue-100 text-blue-700',
        science: 'bg-emerald-100 text-emerald-700',
        tech: 'bg-amber-100 text-amber-700',
        nhl: 'bg-orange-100 text-orange-700'
    };
    
    const timeAgo = getTimeAgo(article.created);
    const hasImage = article.thumbnail && article.thumbnail.startsWith('http');
    
    return `
        <article class="news-card group bg-white dark:bg-gray-800 rounded-2xl overflow-hidden shadow-lg hover:shadow-2xl transition-all duration-300 card-hover border border-gray-100 dark:border-gray-700 cursor-pointer" 
                 data-category="${category}"
                 data-priority="${priority}"
                 onclick="openArticle('${article.url}', '${article.permalink}')"
                 style="animation: fadeInUp 0.5s ease ${index * 0.1}s both">
            
            ${hasImage ? `
            <div class="relative h-48 overflow-hidden">
                <img src="${article.thumbnail}" alt="" class="w-full h-full object-cover transition-transform duration-500 group-hover:scale-110" loading="lazy">
                <div class="absolute inset-0 bg-gradient-to-t from-black/60 via-transparent to-transparent opacity-0 group-hover:opacity-100 transition-opacity duration-300"></div>
                <div class="absolute top-3 left-3">
                    <span class="px-2 py-1 ${tagColors[category]} text-xs font-semibold rounded-lg backdrop-blur-sm">
                        ${category.toUpperCase()}
                    </span>
                </div>
                ${priority === 'high' ? `
                <div class="absolute top-3 right-3">
                    <span class="w-2 h-2 bg-red-500 rounded-full animate-pulse"></span>
                </div>` : ''}
            </div>
            ` : `
            <div class="relative h-32 bg-gradient-to-br ${categoryColors[category]} flex items-center justify-center">
                <i data-feather="${getCategoryIcon(category)}" class="w-16 h-16 text-white/30"></i>
                <span class="absolute top-3 left-3 px-2 py-1 ${tagColors[category]} text-xs font-semibold rounded-lg backdrop-blur-sm">
                    ${category.toUpperCase()}
                </span>
            </div>
            `}
            
            <div class="p-5">
                <div class="flex items-center gap-2 text-xs text-gray-500 dark:text-gray-400 mb-3">
                    <img src="https://static.photos/minimal/32x32/${article.author.charCodeAt(0)}" class="w-5 h-5 rounded-full" alt="">
                    <span>${article.author}</span>
                    <span>•</span>
                    <span>${timeAgo}</span>
                </div>
                
                <h3 class="font-semibold text-gray-900 dark:text-white mb-3 line-clamp-2 group-hover:text-primary-600 dark:group-hover:text-primary-400 transition-colors">
                    ${escapeHtml(article.title)}
                </h3>
                
                <div class="flex items-center justify-between text-sm text-gray-500 dark:text-gray-400">
                    <div class="flex items-center gap-3">
                        <span class="flex items-center gap-1">
                            <i data-feather="arrow-up" class="w-4 h-4"></i>
                            ${formatNumber(article.score)}
                        </span>
                        <span class="flex items-center gap-1">
                            <i data-feather="message-square" class="w-4 h-4"></i>
                            ${article.comments}
                        </span>
                    </div>
                    <button class="p-2 hover:bg-gray-100 dark:hover:bg-gray-700 rounded-lg transition-colors" onclick="event.stopPropagation(); saveArticle('${article.id}')">
                        <i data-feather="bookmark" class="w-4 h-4"></i>
                    </button>
                </div>
            </div>
        </article>
    `;
}

function getCategoryIcon(category) {
    const icons = {
        ai: 'cpu',
        science: 'microscope',
        tech: 'smartphone',
        nhl: 'shield'
    };
    return icons[category] || 'globe';
}

function attachCardEvents(container) {
    // Re-initialize feather icons for new content
    if (typeof feather !== 'undefined') {
        feather.replace();
    }
}

// Utilities
function getTimeAgo(date) {
    const seconds = Math.floor((new Date() - date) / 1000);
    
    const intervals = {
        year: 31536000,
        month: 2592000,
        week: 604800,
        day: 86400,
        hour: 3600,
        minute: 60
    };
    
    for (const [unit, secondsInUnit] of Object.entries(intervals)) {
        const interval = Math.floor(seconds / secondsInUnit);
        if (interval >= 1) {
            return `${interval} ${unit}${interval > 1 ? 's' : ''} ago`;
        }
    }
    return 'just now';
}

function formatNumber(num) {
    if (num >= 1000000) return (num / 1000000).toFixed(1) + 'M';
    if (num >= 1000) return (num / 1000).toFixed(1) + 'K';
    return num.toString();
}

function escapeHtml(text) {
    const div = document.createElement('div');
    div.textContent = text;
    return div.innerHTML;
}

function openArticle(url, permalink) {
    // If direct URL is available and not self-post, use it
    if (url && !url.startsWith('#') && !url.includes('reddit.com')) {
        window.open(url, '_blank');
    } else {
        window.open(permalink, '_blank');
    }
}

function saveArticle(id) {
    const saved = JSON.parse(localStorage.getItem('savedArticles') || '[]');
    if (!saved.includes(id)) {
        saved.push(id);
        localStorage.setItem('savedArticles', JSON.stringify(saved));
        showToast('Article saved!');
    } else {
        showToast('Already saved');
    }
}

function showToast(message) {
    const toast = document.createElement('div');
    toast.className = 'fixed bottom-4 right-4 bg-gray-900 text-white px-6 py-3 rounded-xl shadow-2xl z-50 animate-slideUp';
    toast.textContent = message;
    document.body.appendChild(toast);
    setTimeout(() => toast.remove(), 3000);
}
function updateLastUpdated() {
    const el = document.getElementById('last-updated');
    if (el && state.lastUpdated) {
        el.textContent = `Updated ${getTimeAgo(state.lastUpdated)}`;
    }
    
    // Update AI count
    const aiCount = document.getElementById('ai-count');
    if (aiCount) {
        aiCount.textContent = state.aiArticles.length;
    }
    
    // Dispatch stats update event for sidebar
    window.dispatchEvent(new CustomEvent('statsupdate', { 
        detail: { 
            aiCount: state.aiArticles.length,
            mcdavidPoints: state.mcdavidStats?.points || '--'
        } 
    }));
}
// Fallback Data
function loadFallbackData() {
    const fallbackAI = [
        {
            id: 'fallback-1',
            title: 'OpenAI announces GPT-5 development roadmap with multimodal capabilities',
            url: 'https://openai.com',
            permalink: 'https://openai.com',
            author: 'AI_Insider',
            score: 15420,
            comments: 892,
            created: new Date(Date.now() - 3600000),
            thumbnail: 'https://static.photos/technology/640x360/42',
            source: 'OpenAI Blog'
        },
        {
            id: 'fallback-2',
            title: 'Google DeepMind achieves breakthrough in protein folding prediction',
            url: 'https://deepmind.google',
            permalink: 'https://deepmind.google',
            author: 'ScienceDaily',
            score: 12300,
            comments: 567,
            created: new Date(Date.now() - 7200000),
            thumbnail: 'https://static.photos/science/640x360/23',
            source: 'DeepMind'
        },
        {
            id: 'fallback-3',
            title: 'Anthropic Claude 3 shows emergent reasoning capabilities in new benchmarks',
            url: 'https://anthropic.com',
            permalink: 'https://anthropic.com',
            author: 'ML_Researcher',
            score: 9800,
            comments: 423,
            created: new Date(Date.now() - 10800000),
            thumbnail: null,
            source: 'Anthropic'
        }
    ];
    
    state.aiArticles = fallbackAI;
    state.scienceArticles = fallbackAI.map(a => ({...a, title: a.title.replace('AI', 'Quantum').replace('GPT', 'Fusion')}));
    state.techArticles = fallbackAI.map(a => ({...a, title: 'Tech: ' + a.title}));
    state.nhlNews = [{
        id: 'nhl-1',
        title: 'Connor McDavid nets hat-trick in Oilers victory over Maple Leafs',
        url: 'https://www.nhl.com',
        permalink: 'https://www.nhl.com',
        author: 'NHL_Network',
        score: 25000,
        comments: 1200,
        created: new Date(),
        thumbnail: 'https://static.photos/sport/640x360/97',
        source: 'NHL'
    }];
    
    renderAIGrid();
    renderScienceGrid();
    renderTechGrid();
    renderNHLGrid();
}

// Event Listeners
function setupEventListeners() {
    // Filter buttons
    document.addEventListener('filterchange', (e) => {
        state.currentFilter = e.detail.filter;
        applyFilter();
    });
    
    // Search
    const searchInput = document.getElementById('search-input');
    if (searchInput) {
        searchInput.addEventListener('input', debounce((e) => {
            performSearch(e.target.value);
        }, 300));
    }
    
    // Theme toggle
    window.toggleTheme = toggleTheme;
    window.scrollToSection = scrollToSection;
}

function applyFilter() {
    const cards = document.querySelectorAll('.news-card');
    cards.forEach(card => {
        if (state.currentFilter === 'all' || card.dataset.category === state.currentFilter) {
            card.style.display = '';
            card.style.animation = 'fadeIn 0.3s ease';
        } else {
            card.style.display = 'none';
        }
    });
}

function performSearch(query) {
    const cards = document.querySelectorAll('.news-card');
    const lowerQuery = query.toLowerCase();
    
    cards.forEach(card => {
        const title = card.querySelector('h3').textContent.toLowerCase();
        if (title.includes(lowerQuery)) {
            card.style.display = '';
        } else {
            card.style.display = 'none';
        }
    });
}

function scrollToSection(id) {
    const element = document.getElementById(id);
    if (element) {
        element.scrollIntoView({ behavior: 'smooth', block: 'start' });
    }
}

function debounce(func, wait) {
    let timeout;
    return function executedFunction(...args) {
        const later = () => {
            clearTimeout(timeout);
            func(...args);
        };
        clearTimeout(timeout);
        timeout = setTimeout(later, wait);
    };
}

// Auto Refresh
function startAutoRefresh() {
    // Refresh every 15 minutes
    setInterval(() => {
        loadAllData();
    }, 15 * 60 * 1000);
    
    // Update relative times every minute
    setInterval(() => {
        updateLastUpdated();
    }, 60000);
}

// CSS Animations (inject dynamically)
const style = document.createElement('style');
style.textContent = `
    @keyframes fadeInUp {
        from {
            opacity: 0;
            transform: translateY(20px);
        }
        to {
            opacity: 1;
            transform: translateY(0);
        }
    }
    
    @keyframes fadeIn {
        from { opacity: 0; }
        to { opacity: 1; }
    }
    
    @keyframes slideUp {
        from {
            opacity: 0;
            transform: translateY(20px);
        }
        to {
            opacity: 1;
            transform: translateY(0);
        }
    }
    
    .animate-slideUp {
        animation: slideUp 0.3s ease;
    }
`;
document.head.appendChild(style);

// Export for components
window.State = state;
window.toggleTheme = toggleTheme;
window.scrollToSection = scrollToSection;
window.openArticle = openArticle;
window.saveArticle = saveArticle;