/**
 * Voice Recognition for Hands-Free Workouts
 * Author: RSK World (https://rskworld.in)
 * Founded by: Molla Samser
 * Designer & Tester: Rima Khatun
 * Contact: help@rskworld.in, +91 93305 39277
 * Year: 2026
 */

class VoiceRecognition {
    constructor() {
        this.recognition = null;
        this.isListening = false;
        this.onResultCallback = null;
        this.init();
    }

    init() {
        // Check for browser support
        const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
        
        if (!SpeechRecognition) {
            console.warn('Speech recognition not supported in this browser');
            this.showUnsupportedMessage();
            return;
        }

        this.recognition = new SpeechRecognition();
        this.recognition.continuous = false;
        this.recognition.interimResults = false;
        this.recognition.lang = 'en-US';

        this.recognition.onresult = (event) => {
            const transcript = event.results[0][0].transcript;
            if (this.onResultCallback) {
                this.onResultCallback(transcript);
            }
        };

        this.recognition.onerror = (event) => {
            console.error('Speech recognition error:', event.error);
            this.handleError(event.error);
        };

        this.recognition.onend = () => {
            this.isListening = false;
            this.updateUI();
        };
    }

    startListening(callback) {
        if (!this.recognition) {
            alert('Voice recognition not supported in your browser');
            return;
        }

        if (this.isListening) {
            this.stopListening();
            return;
        }

        this.onResultCallback = callback;
        this.isListening = true;
        
        try {
            this.recognition.start();
            this.updateUI();
            this.showListeningIndicator();
        } catch (error) {
            console.error('Error starting recognition:', error);
        }
    }

    stopListening() {
        if (this.recognition && this.isListening) {
            this.recognition.stop();
            this.isListening = false;
            this.updateUI();
            this.hideListeningIndicator();
        }
    }

    updateUI() {
        const button = document.getElementById('voiceToggleButton');
        if (button) {
            if (this.isListening) {
                button.innerHTML = '<i class="fas fa-microphone-slash"></i> Stop Listening';
                button.classList.add('btn-danger');
                button.classList.remove('btn-primary');
            } else {
                button.innerHTML = '<i class="fas fa-microphone"></i> Voice Command';
                button.classList.add('btn-primary');
                button.classList.remove('btn-danger');
            }
        }
    }

    showListeningIndicator() {
        let indicator = document.getElementById('voiceListeningIndicator');
        if (!indicator) {
            indicator = document.createElement('div');
            indicator.id = 'voiceListeningIndicator';
            indicator.className = 'voice-listening-indicator';
            indicator.innerHTML = `
                <div class="listening-pulse"></div>
                <p>Listening...</p>
            `;
            document.body.appendChild(indicator);
        }
        indicator.style.display = 'block';
    }

    hideListeningIndicator() {
        const indicator = document.getElementById('voiceListeningIndicator');
        if (indicator) {
            indicator.style.display = 'none';
        }
    }

    handleError(error) {
        let message = 'Voice recognition error occurred';
        
        switch (error) {
            case 'no-speech':
                message = 'No speech detected. Please try again.';
                break;
            case 'audio-capture':
                message = 'No microphone found. Please connect a microphone.';
                break;
            case 'not-allowed':
                message = 'Microphone permission denied. Please allow microphone access.';
                break;
            case 'network':
                message = 'Network error. Please check your connection.';
                break;
        }

        this.showError(message);
        this.stopListening();
    }

    showError(message) {
        const errorDiv = document.createElement('div');
        errorDiv.className = 'alert alert-warning alert-dismissible fade show position-fixed';
        errorDiv.style.cssText = 'top: 20px; right: 20px; z-index: 9999; min-width: 300px;';
        errorDiv.innerHTML = `
            ${message}
            <button type="button" class="btn-close" data-bs-dismiss="alert"></button>
        `;
        document.body.appendChild(errorDiv);

        setTimeout(() => {
            errorDiv.remove();
        }, 5000);
    }

    showUnsupportedMessage() {
        const message = document.createElement('div');
        message.className = 'alert alert-info';
        message.innerHTML = `
            <strong>Voice recognition not available</strong><br>
            Your browser doesn't support voice recognition. Please use Chrome, Edge, or Safari.
        `;
        const voiceSection = document.getElementById('voiceSection');
        if (voiceSection) {
            voiceSection.appendChild(message);
        }
    }

    speak(text) {
        if ('speechSynthesis' in window) {
            const utterance = new SpeechSynthesisUtterance(text);
            utterance.lang = 'en-US';
            utterance.rate = 1.0;
            utterance.pitch = 1.0;
            
            // Use a more natural voice if available
            const voices = speechSynthesis.getVoices();
            const preferredVoice = voices.find(voice => 
                voice.lang.includes('en') && voice.name.includes('Natural')
            ) || voices.find(voice => voice.lang.includes('en-US'));
            
            if (preferredVoice) {
                utterance.voice = preferredVoice;
            }
            
            speechSynthesis.speak(utterance);
        }
    }
}

// Initialize voice recognition
document.addEventListener('DOMContentLoaded', () => {
    window.voiceRecognition = new VoiceRecognition();

    // Setup voice toggle button
    const voiceButton = document.getElementById('voiceToggleButton');
    if (voiceButton) {
        voiceButton.addEventListener('click', () => {
            if (window.voiceRecognition.isListening) {
                window.voiceRecognition.stopListening();
            } else {
                window.voiceRecognition.startListening(async (transcript) => {
                    console.log('Voice command:', transcript);
                    
                    // Send to backend
                    try {
                        const response = await fetch('/api/voice/command', {
                            method: 'POST',
                            headers: {
                                'Content-Type': 'application/json',
                            },
                            body: JSON.stringify({ transcript: transcript })
                        });
                        
                        const data = await response.json();
                        
                        if (data.success && data.response) {
                            // Display response
                            if (window.fitnessBot) {
                                window.fitnessBot.addMessage(data.response, 'bot');
                            }
                            
                            // Speak response
                            window.voiceRecognition.speak(data.response);
                        }
                    } catch (error) {
                        console.error('Error processing voice command:', error);
                    }
                });
            }
        });
    }
});

"""
Models Package for Fitness Coach Bot
Author: RSK World (https://rskworld.in)
Founded by: Molla Samser
Designer & Tester: Rima Khatun
Contact: help@rskworld.in, +91 93305 39277
Year: 2026
"""

from .fitness_models import db, User, WorkoutPlan, Exercise, Progress, HealthTip, WorkoutExercise

__all__ = ['db', 'User', 'WorkoutPlan', 'Exercise', 'Progress', 'HealthTip', 'WorkoutExercise']

"""
Workout Buddy Matching System
Author: RSK World (https://rskworld.in)
Founded by: Molla Samser
Designer & Tester: Rima Khatun
Contact: help@rskworld.in, +91 93305 39277
Year: 2026
"""

import json
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass

@dataclass
class WorkoutBuddy:
    user_id: str
    name: str
    fitness_level: str
    goals: List[str]
    preferred_workout_time: str
    location: Optional[str] = None
    preferred_activities: List[str] = None
    availability: Dict = None
    compatibility_score: float = 0.0

class WorkoutBuddyMatcher:
    """AI-powered workout buddy matching system"""
    
    def __init__(self):
        self.buddy_profiles = {}
        self.active_matches = {}
        
    def create_buddy_profile(self, user_data: Dict) -> Dict:
        """Create or update buddy matching profile"""
        profile = WorkoutBuddy(
            user_id=user_data.get('user_id'),
            name=user_data.get('name', 'User'),
            fitness_level=user_data.get('fitness_level', 'beginner'),
            goals=user_data.get('goals', []),
            preferred_workout_time=user_data.get('preferred_workout_time', 'morning'),
            location=user_data.get('location'),
            preferred_activities=user_data.get('preferred_activities', []),
            availability=user_data.get('availability', {})
        )
        
        self.buddy_profiles[profile.user_id] = profile
        
        return {
            'success': True,
            'profile': self._profile_to_dict(profile),
            'message': 'Buddy profile created successfully'
        }
    
    def find_matches(self, user_id: str, limit: int = 5) -> List[Dict]:
        """Find compatible workout buddies"""
        if user_id not in self.buddy_profiles:
            return []
        
        user_profile = self.buddy_profiles[user_id]
        matches = []
        
        for buddy_id, buddy_profile in self.buddy_profiles.items():
            if buddy_id == user_id:
                continue
            
            # Calculate compatibility score
            score = self._calculate_compatibility(user_profile, buddy_profile)
            
            if score > 0.5:  # Minimum compatibility threshold
                buddy_profile.compatibility_score = score
                matches.append({
                    'buddy': self._profile_to_dict(buddy_profile),
                    'compatibility_score': round(score * 100, 1),
                    'match_reasons': self._get_match_reasons(user_profile, buddy_profile)
                })
        
        # Sort by compatibility score
        matches.sort(key=lambda x: x['compatibility_score'], reverse=True)
        
        return matches[:limit]
    
    def _calculate_compatibility(self, user: WorkoutBuddy, buddy: WorkoutBuddy) -> float:
        """Calculate compatibility score between two users"""
        score = 0.0
        factors = 0
        
        # Fitness level compatibility (0.3 weight)
        level_match = self._match_fitness_level(user.fitness_level, buddy.fitness_level)
        score += level_match * 0.3
        factors += 0.3
        
        # Goals compatibility (0.25 weight)
        goals_match = self._match_goals(user.goals, buddy.goals)
        score += goals_match * 0.25
        factors += 0.25
        
        # Workout time compatibility (0.2 weight)
        time_match = 1.0 if user.preferred_workout_time == buddy.preferred_workout_time else 0.5
        score += time_match * 0.2
        factors += 0.2
        
        # Activity preferences (0.15 weight)
        activity_match = self._match_activities(user.preferred_activities, buddy.preferred_activities)
        score += activity_match * 0.15
        factors += 0.15
        
        # Location proximity (0.1 weight) - if both have location
        if user.location and buddy.location:
            location_match = self._calculate_location_proximity(user.location, buddy.location)
            score += location_match * 0.1
            factors += 0.1
        
        # Normalize score
        return score / factors if factors > 0 else 0.0
    
    def _match_fitness_level(self, level1: str, level2: str) -> float:
        """Match fitness levels"""
        levels = {'beginner': 1, 'intermediate': 2, 'advanced': 3}
        level1_num = levels.get(level1.lower(), 2)
        level2_num = levels.get(level2.lower(), 2)
        
        diff = abs(level1_num - level2_num)
        if diff == 0:
            return 1.0
        elif diff == 1:
            return 0.7  # Adjacent levels are somewhat compatible
        else:
            return 0.3  # Too far apart
    
    def _match_goals(self, goals1: List[str], goals2: List[str]) -> float:
        """Match fitness goals"""
        if not goals1 or not goals2:
            return 0.5  # Neutral if no goals specified
        
        common_goals = set(g.lower() for g in goals1) & set(g.lower() for g in goals2)
        all_goals = set(g.lower() for g in goals1) | set(g.lower() for g in goals2)
        
        if not all_goals:
            return 0.5
        
        return len(common_goals) / len(all_goals)
    
    def _match_activities(self, activities1: List[str], activities2: List[str]) -> float:
        """Match preferred activities"""
        if not activities1 or not activities2:
            return 0.5
        
        common = set(a.lower() for a in activities1) & set(a.lower() for a in activities2)
        total = len(set(a.lower() for a in activities1) | set(a.lower() for a in activities2))
        
        if total == 0:
            return 0.5
        
        return len(common) / total
    
    def _calculate_location_proximity(self, loc1: str, loc2: str) -> float:
        """Calculate location proximity (simplified)"""
        # In real implementation, would use geocoding API
        # For now, simple string matching
        if loc1.lower() == loc2.lower():
            return 1.0
        
        # Check if same city (simple check)
        loc1_parts = loc1.lower().split(',')
        loc2_parts = loc2.lower().split(',')
        
        if len(loc1_parts) > 0 and len(loc2_parts) > 0:
            if loc1_parts[0] == loc2_parts[0]:
                return 0.7  # Same city
        
        return 0.3  # Different locations
    
    def _get_match_reasons(self, user: WorkoutBuddy, buddy: WorkoutBuddy) -> List[str]:
        """Get reasons why users are matched"""
        reasons = []
        
        if user.fitness_level == buddy.fitness_level:
            reasons.append(f"Same fitness level: {user.fitness_level}")
        
        common_goals = set(g.lower() for g in user.goals) & set(g.lower() for g in buddy.goals)
        if common_goals:
            reasons.append(f"Shared goals: {', '.join(list(common_goals)[:2])}")
        
        if user.preferred_workout_time == buddy.preferred_workout_time:
            reasons.append(f"Same workout time preference: {user.preferred_workout_time}")
        
        common_activities = set(a.lower() for a in user.preferred_activities or []) & \
                           set(a.lower() for a in buddy.preferred_activities or [])
        if common_activities:
            reasons.append(f"Similar interests: {', '.join(list(common_activities)[:2])}")
        
        return reasons if reasons else ["Potential workout buddy"]
    
    def create_buddy_request(self, from_user_id: str, to_user_id: str, message: Optional[str] = None) -> Dict:
        """Send workout buddy request"""
        request = {
            'id': f"buddy_req_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{from_user_id}",
            'from_user_id': from_user_id,
            'to_user_id': to_user_id,
            'message': message or "Would you like to be workout buddies?",
            'status': 'pending',
            'created_at': datetime.now().isoformat()
        }
        
        return {
            'success': True,
            'request': request,
            'message': 'Buddy request sent successfully'
        }
    
    def accept_buddy_request(self, request_id: str) -> Dict:
        """Accept buddy request"""
        return {
            'success': True,
            'message': 'Buddy request accepted! You are now workout buddies.',
            'match': {
                'created_at': datetime.now().isoformat(),
                'status': 'active'
            }
        }
    
    def suggest_group_workout(self, user_ids: List[str], workout_data: Dict) -> Dict:
        """Suggest group workout for matched buddies"""
        return {
            'success': True,
            'suggestion': {
                'workout_type': workout_data.get('type', 'group_training'),
                'suggested_time': workout_data.get('time'),
                'participants': user_ids,
                'message': 'Group workout suggestion created',
                'created_at': datetime.now().isoformat()
            }
        }
    
    def _profile_to_dict(self, profile: WorkoutBuddy) -> Dict:
        """Convert profile to dictionary"""
        return {
            'user_id': profile.user_id,
            'name': profile.name,
            'fitness_level': profile.fitness_level,
            'goals': profile.goals,
            'preferred_workout_time': profile.preferred_workout_time,
            'location': profile.location,
            'preferred_activities': profile.preferred_activities or [],
            'availability': profile.availability or {}
        }

# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
env/
venv/
ENV/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg

# Database
*.db
*.sqlite
*.sqlite3

# Environment variables
.env
.venv

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
Thumbs.db

# Flask
instance/
.webassets-cache

# Testing
.pytest_cache/
.coverage
htmlcov/

# Jupyter Notebook
.ipynb_checkpoints

# Logs
*.log

# Temporary files
*.tmp
test_db.py