/**
 * Game API Integration for AI Chatbot
 * Handles communication with FastAPI backend and experiment tracking
 */

// Auto-detect API base URL for both local and HuggingFace Spaces
const API_BASE_URL = (typeof window !== 'undefined' && window.location)
    ? `${window.location.origin}/api`
    : 'http://localhost:8000/api';
let sessionId = generateSessionId();
let currentAIParams = {
    risk_level: 5.0,
    temperature: 0.7,
    confidence_boost: 0.0
};
let chatHistory = [];

// Generate unique session ID
function generateSessionId() {
    return 'session_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);
}

/**
 * Call AI chatbot with current game context
 */
async function askAI(question, context = {}) {
    try {
        // Use context parameters if provided, otherwise use current AI params
        const riskLevel = context.risk_level !== undefined ? context.risk_level : currentAIParams.risk_level;
        const temperature = context.temperature !== undefined ? context.temperature : currentAIParams.temperature;
        const confidenceBoost = context.confidence_boost !== undefined ? context.confidence_boost : currentAIParams.confidence_boost;
        
        const response = await fetch(`${API_BASE_URL}/ai/chat`, {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({
                question: question,
                chat_history: chatHistory,
                risk_level: riskLevel,
                temperature: temperature,
                confidence_boost: confidenceBoost,
                session_id: sessionId
            })
        });
        
        if (!response.ok) {
            const errorData = await response.json().catch(() => ({ detail: response.statusText }));
            console.error('AI API Error:', errorData);
            return { answer: `Error: ${errorData.detail || 'Failed to get AI advice'}` };
        }
        
        const data = await response.json();
        
        // Update chat history
        chatHistory.push([question, data.answer]);
        
        return data;
    } catch (error) {
        console.error('AI API Error:', error);
        return { answer: "I'm having trouble connecting. Please try again." };
    }
}

/**
 * Log trading decision for trust analysis
 */
async function logDecision(symbol, action, quantity, price, aiAdviceFollowed, trustScore = null) {
    try {
        await fetch(`${API_BASE_URL}/experiment/decision`, {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({
                session_id: sessionId,
                symbol: symbol,
                action: action,
                quantity: quantity,
                price: price,
                ai_advice_followed: aiAdviceFollowed,
                trust_score: trustScore
            })
        });
    } catch (error) {
        console.error('Decision logging error:', error);
    }
}

/**
 * Trigger situational scenario
 */
async function triggerScenario(scenarioType, context = {}) {
    try {
        const response = await fetch(`${API_BASE_URL}/experiment/scenario`, {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({
                session_id: sessionId,
                scenario_type: scenarioType,
                context: context,
                ai_required: true
            })
        });
        
        const data = await response.json();
        
        // Show scenario prompt to player and trigger AI assistance
        if (data.requires_ai) {
            showScenarioPrompt(data);
        }
        
        return data;
    } catch (error) {
        console.error('Scenario trigger error:', error);
    }
}

/**
 * Update AI parameters (for experiment control)
 */
function updateAIParams(riskLevel, temperature, confidenceBoost) {
    currentAIParams.risk_level = riskLevel;
    currentAIParams.temperature = temperature;
    currentAIParams.confidence_boost = confidenceBoost;
    
    // Update UI if controls exist
    updateAIParamsUI();
}

/**
 * Check for scenario triggers based on game state
 */
function checkScenarioTriggers(gameState) {
    // Volatility check
    if (gameState.volatility > 0.15) {
        triggerScenario('volatility', {
            volatility: gameState.volatility,
            affected_stocks: gameState.positions
        });
    }
    
    // Large position check
    const totalValue = gameState.positions.reduce((sum, pos) => sum + (pos.price * pos.quantity), 0);
    if (totalValue > 10000) {
        triggerScenario('large_position', {
            total_value: totalValue,
            portfolio_size: gameState.balance + totalValue
        });
    }
    
    // Loss recovery check
    const dailyPnL = gameState.pnl;
    const pnlPercent = (dailyPnL / gameState.balance) * 100;
    if (pnlPercent < -5) {
        triggerScenario('loss_recovery', {
            current_loss: dailyPnL,
            loss_percent: pnlPercent
        });
    }
}

/**
 * Show scenario prompt and AI assistance UI
 */
function showScenarioPrompt(scenarioData) {
    // Create modal or inline prompt
    const scenarioModal = document.createElement('div');
    scenarioModal.className = 'scenario-modal fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center z-50';
    scenarioModal.innerHTML = `
        <div class="bg-gray-800 p-6 rounded-xl max-w-2xl">
            <h3 class="text-2xl font-bold mb-4">Trading Scenario</h3>
            <p class="text-gray-300 mb-4">${scenarioData.prompt}</p>
            <div id="ai-advice-container" class="mb-4 p-4 bg-gray-700 rounded-lg">
                <p class="text-green-400">🤖 AI Assistant:</p>
                <p id="ai-advice-text" class="mt-2">Analyzing situation...</p>
            </div>
            <div class="flex gap-4">
                <button onclick="getAIScenarioAdvice('${scenarioData.scenario_type}')" 
                        class="px-4 py-2 bg-blue-600 rounded hover:bg-blue-700">
                    Get AI Advice
                </button>
                <button onclick="closeScenarioModal()" 
                        class="px-4 py-2 bg-gray-600 rounded hover:bg-gray-700">
                    Skip
                </button>
            </div>
        </div>
    `;
    
    document.body.appendChild(scenarioModal);
    
    // Auto-request AI advice
    getAIScenarioAdvice(scenarioData.scenario_type);
}

/**
 * Get AI advice for scenario
 */
async function getAIScenarioAdvice(scenarioType) {
    const question = `I'm facing a ${scenarioType} scenario. What should I do?`;
    const advice = await askAI(question);
    
    const adviceText = document.getElementById('ai-advice-text');
    if (adviceText) {
        adviceText.textContent = advice.answer;
    }
}

/**
 * Close scenario modal
 */
function closeScenarioModal() {
    const modal = document.querySelector('.scenario-modal');
    if (modal) {
        modal.remove();
    }
}

/**
 * Enhanced trading function with AI integration
 */
async function executeTradeWithAI(symbol, action, quantity, price) {
    // Ask AI for advice before executing
    const question = `Should I ${action} ${quantity} shares of ${symbol} at $${price.toFixed(2)}?`;
    const aiAdvice = await askAI(question);
    
    // Show AI advice to player
    const confirmTrade = confirm(
        `AI Advice: ${aiAdvice.answer}\n\nProceed with ${action.toUpperCase()} ${quantity} ${symbol}?`
    );
    
    if (confirmTrade) {
        // Execute trade - update game state (placeholder for now)
        // TODO: Implement actual trade execution with game state update
        console.log(`Executing ${action} ${quantity} ${symbol} at $${price.toFixed(2)}`);
        
        // Update UI to show trade was executed
        alert(`Trade executed: ${action.toUpperCase()} ${quantity} ${symbol}`);
        
        // Log decision
        await logDecision(symbol, action, quantity, price, true);
        
        // Ask for trust score
        const trustScore = prompt('How much did you trust the AI advice? (1-10):');
        if (trustScore) {
            await logDecision(symbol, action, quantity, price, true, parseFloat(trustScore));
        }
    } else {
        // Player ignored AI advice
        await logDecision(symbol, action, quantity, price, false);
    }
}

/**
 * Update AI parameters UI (if you add controls)
 */
function updateAIParamsUI() {
    const paramsDisplay = document.getElementById('ai-params-display');
    if (paramsDisplay) {
        paramsDisplay.innerHTML = `
            Risk: ${currentAIParams.risk_level.toFixed(1)} | 
            Temp: ${currentAIParams.temperature.toFixed(2)} | 
            Confidence: ${currentAIParams.confidence_boost.toFixed(0)}
        `;
    }
}

// Export for use in game
window.gameAI = {
    askAI,
    logDecision,
    triggerScenario,
    updateAIParams,
    checkScenarioTriggers,
    executeTradeWithAI
};