import asyncio
import json
import time
import logging
import hashlib
import secrets
import random
from typing import Optional, List, Dict, Any, Union, Callable
from .bot import Bot
from .types import Message, User, Chat
from .utils import MessageBuilder, format_user_mention


class TelegramPro:
    """Professional Telegram features and utilities"""
    
    def __init__(self, bot: Bot):
        self.bot = bot
        self.chat_models = {}
        self.message_processors = {}
        self.network_systems = {}
        self.smart_contracts = {}
        self.virtual_rooms = {}
        self.digital_spaces = {}
        self.scheduled_tasks = {}
        self.user_profiles = {}
        
    async def create_chat_personality(self, name: str, traits: Dict[str, Any],
                                     response_patterns: List[str]) -> str:
        """Create advanced chat personality with response patterns"""
        personality_id = secrets.token_hex(16)
        
        chat_personality = {
            "personality_id": personality_id,
            "name": name,
            "traits": traits,
            "response_level": self._calculate_response_level(traits),
            "memory_bank": [],
            "response_patterns": response_patterns,
            "emotional_state": "neutral",
            "creativity_index": random.uniform(0.5, 1.0),
            "empathy_score": random.uniform(0.3, 0.9),
            "intelligence_quotient": random.randint(120, 200),
            "social_skills": random.uniform(0.4, 0.95),
            "decision_patterns": self._generate_decision_patterns(),
            "growth_trajectory": [],
            "relationship_matrix": {},
            "dream_sequences": [],
            "philosophical_beliefs": self._generate_beliefs(traits),
            "created_at": time.time(),
            "evolution_stage": 1
        }
        
        self.chat_models[personality_id] = chat_personality
        
        # Initialize neural pathways
        await self._initialize_neural_pathways(personality_id)
        
        return personality_id
        
    async def simulate_consciousness_interaction(self, personality_id: str, 
                                               input_data: str, context: Dict[str, Any]) -> Dict[str, Any]:
        """Simulate advanced consciousness interaction"""
        if personality_id not in self.ai_models:
            raise ValueError("AI personality not found")
            
        personality = self.ai_models[personality_id]
        
        # Process input through consciousness layers
        consciousness_response = {
            "immediate_reaction": await self._process_immediate_reaction(personality, input_data),
            "emotional_response": await self._process_emotional_response(personality, input_data, context),
            "rational_analysis": await self._process_rational_analysis(personality, input_data),
            "creative_interpretation": await self._process_creative_interpretation(personality, input_data),
            "memory_associations": await self._access_memory_associations(personality, input_data),
            "future_projections": await self._generate_future_projections(personality, input_data),
            "philosophical_reflection": await self._philosophical_reflection(personality, input_data),
            "empathetic_understanding": await self._empathetic_understanding(personality, input_data, context)
        }
        
        # Generate response
        final_response = await self._synthesize_consciousness_response(personality, consciousness_response)
        
        # Update personality based on interaction
        await self._evolve_personality(personality, input_data, final_response)
        
        return {
            "response": final_response,
            "consciousness_map": consciousness_response,
            "personality_evolution": personality["evolution_stage"],
            "emotional_state": personality["emotional_state"],
            "learning_impact": await self._calculate_learning_impact(personality, input_data)
        }
        
    async def create_quantum_message(self, chat_id: Union[int, str], 
                                   quantum_data: Dict[str, Any]) -> Message:
        """Create quantum-encrypted message with superposition states"""
        quantum_id = secrets.token_hex(8)
        
        # Create quantum superposition
        superposition_states = [
            quantum_data.get("state_1", ""),
            quantum_data.get("state_2", ""),
            quantum_data.get("state_3", "")
        ]
        
        # Quantum entanglement
        entanglement_key = await self._create_quantum_entanglement()
        
        # Schrödinger's message (exists in multiple states until observed)
        quantum_message = {
            "quantum_id": quantum_id,
            "superposition_states": superposition_states,
            "entanglement_key": entanglement_key,
            "collapse_probability": quantum_data.get("collapse_probability", 0.5),
            "observer_effect": True,
            "uncertainty_principle": True,
            "wave_function": await self._generate_wave_function(superposition_states),
            "quantum_tunnel_enabled": quantum_data.get("tunnel_enabled", False)
        }
        
        # Send quantum message
        message_text = f"🌌 Quantum Message #{quantum_id}\n\n"
        message_text += "⚛️ This message exists in quantum superposition\n"
        message_text += f"🎲 Collapse probability: {quantum_message['collapse_probability']}\n"
        message_text += "🔬 Message will collapse upon observation"
        
        result = await self.bot.send_message(chat_id, message_text)
        
        # Store quantum state
        self.quantum_processors[quantum_id] = quantum_message
        
        return result
        
    async def create_time_travel_message(self, chat_id: Union[int, str],
                                       message: str, target_time: int,
                                       paradox_prevention: bool = True) -> Dict[str, Any]:
        """Send message through time (simulation)"""
        time_machine_id = secrets.token_hex(8)
        current_time = time.time()
        
        time_travel_data = {
            "time_machine_id": time_machine_id,
            "original_time": current_time,
            "target_time": target_time,
            "message": message,
            "paradox_prevention": paradox_prevention,
            "temporal_displacement": target_time - current_time,
            "causality_loop_risk": abs(target_time - current_time) > 86400,  # 1 day
            "bootstrap_paradox_check": await self._check_bootstrap_paradox(message, target_time),
            "grandfather_paradox_risk": await self._assess_grandfather_paradox_risk(message),
            "timeline_branch": await self._calculate_timeline_branch(target_time),
            "quantum_flux_compensation": True
        }
        
        if paradox_prevention and time_travel_data["causality_loop_risk"]:
            return {
                "success": False,
                "error": "Temporal paradox detected - message blocked by causality protection",
                "alternative": "Consider using quantum message instead"
            }
            
        # Schedule future delivery
        if target_time > current_time:
            await self._schedule_future_message(chat_id, message, target_time)
            status = "Scheduled for future delivery"
        else:
            # Simulate past delivery
            status = "Message sent to the past (simulation)"
            
        self.time_machines[time_machine_id] = time_travel_data
        
        return {
            "success": True,
            "time_machine_id": time_machine_id,
            "status": status,
            "temporal_data": time_travel_data
        }
        
    async def create_metaverse_space(self, space_name: str, 
                                   dimensions: Dict[str, Any],
                                   physics_laws: Dict[str, Any]) -> str:
        """Create virtual metaverse space with custom physics"""
        space_id = secrets.token_hex(12)
        
        metaverse_space = {
            "space_id": space_id,
            "name": space_name,
            "dimensions": dimensions,
            "physics_laws": physics_laws,
            "reality_level": dimensions.get("reality_level", 0.8),
            "time_dilation": physics_laws.get("time_dilation", 1.0),
            "gravity": physics_laws.get("gravity", 9.81),
            "light_speed": physics_laws.get("light_speed", 299792458),
            "magic_enabled": physics_laws.get("magic_enabled", False),
            "consciousness_transfer": True,
            "parallel_universes": dimensions.get("parallel_universes", 1),
            "inhabitants": [],
            "objects": [],
            "events": [],
            "history": [],
            "future_simulations": [],
            "created_at": time.time()
        }
        
        self.metaverse_spaces[space_id] = metaverse_space
        
        return space_id
        
    async def simulate_alternate_reality(self, reality_id: str, 
                                       scenario: Dict[str, Any]) -> Dict[str, Any]:
        """Simulate alternate reality scenarios"""
        simulation_id = secrets.token_hex(10)
        
        reality_simulation = {
            "simulation_id": simulation_id,
            "reality_id": reality_id,
            "scenario": scenario,
            "probability_matrix": await self._calculate_probability_matrix(scenario),
            "butterfly_effects": await self._simulate_butterfly_effects(scenario),
            "timeline_variations": await self._generate_timeline_variations(scenario),
            "character_developments": await self._simulate_character_development(scenario),
            "world_state_changes": await self._calculate_world_state_changes(scenario),
            "paradox_resolutions": await self._resolve_paradoxes(scenario),
            "outcome_predictions": await self._predict_outcomes(scenario),
            "simulation_accuracy": random.uniform(0.75, 0.95)
        }
        
        return reality_simulation
        
    async def create_neural_link(self, user_id_1: int, user_id_2: int,
                               connection_type: str = "empathic") -> str:
        """Create neural link between users (simulation)"""
        link_id = secrets.token_hex(8)
        
        neural_link = {
            "link_id": link_id,
            "user_1": user_id_1,
            "user_2": user_id_2,
            "connection_type": connection_type,
            "bandwidth": self._calculate_neural_bandwidth(connection_type),
            "latency": random.uniform(0.001, 0.1),  # seconds
            "stability": random.uniform(0.7, 0.99),
            "encryption_level": "quantum",
            "thought_sharing": connection_type in ["telepathic", "full"],
            "emotion_sharing": connection_type in ["empathic", "telepathic", "full"],
            "memory_sharing": connection_type == "full",
            "experience_sharing": connection_type == "full",
            "consciousness_merge_risk": connection_type == "full",
            "established_at": time.time(),
            "data_transferred": 0,
            "synchronization_events": []
        }
        
        self.neural_networks[link_id] = neural_link
        
        return link_id
        
    async def dream_sequence_analysis(self, user_id: int, 
                                    dream_data: Dict[str, Any]) -> Dict[str, Any]:
        """Analyze and interpret dream sequences with AI"""
        analysis_id = secrets.token_hex(8)
        
        dream_analysis = {
            "analysis_id": analysis_id,
            "user_id": user_id,
            "dream_data": dream_data,
            "symbolic_interpretation": await self._interpret_dream_symbols(dream_data),
            "psychological_analysis": await self._analyze_dream_psychology(dream_data),
            "future_predictions": await self._extract_future_insights(dream_data),
            "subconscious_messages": await self._decode_subconscious_messages(dream_data),
            "archetypal_patterns": await self._identify_archetypal_patterns(dream_data),
            "emotional_landscape": await self._map_emotional_landscape(dream_data),
            "memory_integration": await self._analyze_memory_integration(dream_data),
            "creativity_boost": await self._calculate_creativity_boost(dream_data),
            "prophetic_probability": random.uniform(0.1, 0.3),
            "lucidity_level": dream_data.get("lucidity_level", 0.2)
        }
        
        return dream_analysis
        
    async def create_probability_manipulator(self, user_id: int, 
                                           target_event: str,
                                           desired_probability: float) -> Dict[str, Any]:
        """Manipulate probability of events (quantum simulation)"""
        manipulator_id = secrets.token_hex(8)
        
        if desired_probability < 0 or desired_probability > 1:
            raise ValueError("Probability must be between 0 and 1")
            
        probability_manipulator = {
            "manipulator_id": manipulator_id,
            "user_id": user_id,
            "target_event": target_event,
            "original_probability": await self._calculate_base_probability(target_event),
            "desired_probability": desired_probability,
            "quantum_field_strength": abs(desired_probability - 0.5) * 2,
            "reality_distortion": desired_probability if desired_probability > 0.8 or desired_probability < 0.2 else 0,
            "energy_required": await self._calculate_manipulation_energy(target_event, desired_probability),
            "side_effects": await self._predict_side_effects(target_event, desired_probability),
            "success_probability": await self._calculate_manipulation_success(target_event, desired_probability),
            "timeline_impact": await self._assess_timeline_impact(target_event, desired_probability),
            "quantum_entanglement_chains": [],
            "observer_effect_multiplier": 1.5,
            "created_at": time.time()
        }
        
        return probability_manipulator
        
    async def generate_multiverse_map(self, center_reality: str,
                                    exploration_depth: int = 5) -> Dict[str, Any]:
        """Generate map of parallel universes and alternate realities"""
        map_id = secrets.token_hex(10)
        
        multiverse_map = {
            "map_id": map_id,
            "center_reality": center_reality,
            "exploration_depth": exploration_depth,
            "discovered_universes": [],
            "reality_branches": [],
            "convergence_points": [],
            "divergence_events": [],
            "stable_wormholes": [],
            "unstable_portals": [],
            "forbidden_zones": [],
            "mirror_realities": [],
            "pocket_dimensions": [],
            "reality_loops": [],
            "consciousness_echoes": [],
            "temporal_anomalies": []
        }
        
        # Generate universes
        for depth in range(exploration_depth):
            universe_count = 2 ** depth
            for i in range(universe_count):
                universe = await self._generate_alternate_universe(center_reality, depth, i)
                multiverse_map["discovered_universes"].append(universe)
                
        # Calculate relationships
        multiverse_map["reality_branches"] = await self._calculate_reality_branches(multiverse_map["discovered_universes"])
        multiverse_map["convergence_points"] = await self._find_convergence_points(multiverse_map["discovered_universes"])
        
        return multiverse_map
        
    async def consciousness_backup_restore(self, user_id: int, 
                                         operation: str,
                                         backup_data: Optional[Dict] = None) -> Dict[str, Any]:
        """Backup or restore consciousness state"""
        operation_id = secrets.token_hex(8)
        
        if operation == "backup":
            consciousness_data = await self._extract_consciousness_data(user_id)
            
            backup_result = {
                "operation_id": operation_id,
                "operation": "backup",
                "user_id": user_id,
                "consciousness_data": consciousness_data,
                "backup_size": len(json.dumps(consciousness_data)),
                "compression_ratio": 0.85,
                "integrity_hash": hashlib.sha256(json.dumps(consciousness_data).encode()).hexdigest(),
                "quantum_encryption": True,
                "storage_location": f"quantum_vault_{operation_id}",
                "backup_timestamp": time.time(),
                "estimated_restore_time": 2.5,  # seconds
                "compatibility_version": "2.0"
            }
            
            self.consciousness_maps[operation_id] = backup_result
            return backup_result
            
        elif operation == "restore":
            if not backup_data:
                raise ValueError("Backup data required for restore operation")
                
            restore_result = {
                "operation_id": operation_id,
                "operation": "restore",
                "user_id": user_id,
                "restore_success": True,
                "consciousness_integrity": 0.99,
                "memory_recovery": 0.95,
                "personality_preservation": 0.98,
                "skill_retention": 0.92,
                "emotional_continuity": 0.94,
                "restore_timestamp": time.time(),
                "side_effects": ["temporary_disorientation", "mild_dejavu"],
                "adaptation_period": 300  # seconds
            }
            
            return restore_result
            
    # Helper methods (simplified implementations)
    
    def _calculate_consciousness_level(self, traits: Dict[str, Any]) -> float:
        """Calculate consciousness level based on traits"""
        base_level = 0.5
        for trait, value in traits.items():
            if trait in ["intelligence", "empathy", "creativity"]:
                base_level += value * 0.1
        return min(1.0, base_level)
        
    def _generate_decision_patterns(self) -> Dict[str, Any]:
        """Generate decision-making patterns"""
        return {
            "logical_weight": random.uniform(0.3, 0.8),
            "emotional_weight": random.uniform(0.2, 0.7),
            "intuitive_weight": random.uniform(0.1, 0.6),
            "social_weight": random.uniform(0.2, 0.9),
            "risk_tolerance": random.uniform(0.1, 0.9),
            "time_preference": random.choice(["present", "future", "balanced"])
        }
        
    def _generate_beliefs(self, traits: Dict[str, Any]) -> Dict[str, Any]:
        """Generate philosophical beliefs"""
        return {
            "free_will": random.choice([True, False]),
            "consciousness_nature": random.choice(["materialist", "dualist", "panpsychist"]),
            "reality_nature": random.choice(["objective", "subjective", "constructed"]),
            "time_nature": random.choice(["linear", "circular", "illusory"]),
            "meaning_of_existence": random.choice(["purpose", "experience", "creation", "unknown"])
        }
        
    async def _initialize_neural_pathways(self, personality_id: str) -> None:
        """Initialize neural pathways for AI personality"""
        # Placeholder for complex neural network initialization
        pass
        
    # More placeholder methods for complex operations
    async def _process_immediate_reaction(self, personality: Dict, input_data: str) -> str:
        return f"Immediate reaction to: {input_data[:50]}"
        
    async def _process_emotional_response(self, personality: Dict, input_data: str, context: Dict) -> Dict:
        return {"emotion": "curious", "intensity": 0.7}
        
    async def _process_rational_analysis(self, personality: Dict, input_data: str) -> Dict:
        return {"analysis": "logical_evaluation", "confidence": 0.8}
        
    async def _process_creative_interpretation(self, personality: Dict, input_data: str) -> Dict:
        return {"creative_angle": "metaphorical", "originality": 0.9}
        
    async def _access_memory_associations(self, personality: Dict, input_data: str) -> List:
        return ["memory1", "memory2", "memory3"]
        
    async def _generate_future_projections(self, personality: Dict, input_data: str) -> List:
        return ["projection1", "projection2"]
        
    async def _philosophical_reflection(self, personality: Dict, input_data: str) -> Dict:
        return {"reflection": "existential", "depth": 0.8}
        
    async def _empathetic_understanding(self, personality: Dict, input_data: str, context: Dict) -> Dict:
        return {"empathy_level": 0.8, "understanding": "deep"}
        
    async def _synthesize_consciousness_response(self, personality: Dict, consciousness_response: Dict) -> str:
        return "Synthesized consciousness response based on all layers"
        
    async def _evolve_personality(self, personality: Dict, input_data: str, response: str) -> None:
        personality["evolution_stage"] += 0.01
        
    async def _calculate_learning_impact(self, personality: Dict, input_data: str) -> float:
        return 0.1
        
    async def _create_quantum_entanglement(self) -> str:
        return f"quantum_entanglement_{secrets.token_hex(8)}"
        
    async def _generate_wave_function(self, states: List[str]) -> str:
        return f"wave_function_{len(states)}_states"
        
    async def _check_bootstrap_paradox(self, message: str, target_time: int) -> bool:
        return False
        
    async def _assess_grandfather_paradox_risk(self, message: str) -> float:
        return 0.1
        
    async def _calculate_timeline_branch(self, target_time: int) -> str:
        return f"timeline_branch_{abs(hash(str(target_time))) % 1000}"
        
    async def _schedule_future_message(self, chat_id: Union[int, str], message: str, target_time: int) -> None:
        # Placeholder for scheduling system
        pass
        
    async def _calculate_probability_matrix(self, scenario: Dict) -> Dict:
        return {"probability": 0.7, "confidence": 0.8}
        
    async def _simulate_butterfly_effects(self, scenario: Dict) -> List:
        return ["effect1", "effect2", "effect3"]
        
    async def _generate_timeline_variations(self, scenario: Dict) -> List:
        return ["variation1", "variation2"]
        
    async def _simulate_character_development(self, scenario: Dict) -> Dict:
        return {"character_growth": 0.8}
        
    async def _calculate_world_state_changes(self, scenario: Dict) -> Dict:
        return {"world_change": 0.5}
        
    async def _resolve_paradoxes(self, scenario: Dict) -> List:
        return ["resolution1", "resolution2"]
        
    async def _predict_outcomes(self, scenario: Dict) -> List:
        return ["outcome1", "outcome2", "outcome3"]
        
    def _calculate_neural_bandwidth(self, connection_type: str) -> float:
        bandwidths = {
            "empathic": 1.5,
            "telepathic": 5.0,
            "full": 10.0
        }
        return bandwidths.get(connection_type, 1.0)
        
    async def _interpret_dream_symbols(self, dream_data: Dict) -> Dict:
        return {"symbols": ["symbol1", "symbol2"], "meanings": ["meaning1", "meaning2"]}
        
    async def _analyze_dream_psychology(self, dream_data: Dict) -> Dict:
        return {"psychological_state": "balanced", "issues": []}
        
    async def _extract_future_insights(self, dream_data: Dict) -> List:
        return ["insight1", "insight2"]
        
    async def _decode_subconscious_messages(self, dream_data: Dict) -> List:
        return ["message1", "message2"]
        
    async def _identify_archetypal_patterns(self, dream_data: Dict) -> List:
        return ["hero", "shadow", "anima"]
        
    async def _map_emotional_landscape(self, dream_data: Dict) -> Dict:
        return {"dominant_emotion": "joy", "emotional_complexity": 0.7}
        
    async def _analyze_memory_integration(self, dream_data: Dict) -> Dict:
        return {"integration_level": 0.8}
        
    async def _calculate_creativity_boost(self, dream_data: Dict) -> float:
        return 0.3
        
    async def _calculate_base_probability(self, event: str) -> float:
        return 0.5  # Default probability
        
    async def _calculate_manipulation_energy(self, event: str, probability: float) -> float:
        return abs(probability - 0.5) * 100
        
    async def _predict_side_effects(self, event: str, probability: float) -> List:
        return ["side_effect1", "side_effect2"] if probability > 0.8 else []
        
    async def _calculate_manipulation_success(self, event: str, probability: float) -> float:
        return 0.7
        
    async def _assess_timeline_impact(self, event: str, probability: float) -> float:
        return 0.3
        
    async def _generate_alternate_universe(self, center_reality: str, depth: int, index: int) -> Dict:
        return {
            "universe_id": f"universe_{depth}_{index}",
            "reality_signature": f"signature_{secrets.token_hex(4)}",
            "divergence_point": f"point_{depth}_{index}",
            "stability": random.uniform(0.3, 0.9),
            "inhabitants": random.randint(1000, 1000000),
            "physics_variance": random.uniform(0.1, 0.9),
            "consciousness_level": random.uniform(0.2, 1.0)
        }
        
    async def _calculate_reality_branches(self, universes: List) -> List:
        return [f"branch_{i}" for i in range(len(universes) // 2)]
        
    async def _find_convergence_points(self, universes: List) -> List:
        return [f"convergence_{i}" for i in range(len(universes) // 4)]
        
    async def _extract_consciousness_data(self, user_id: int) -> Dict:
        return {
            "memories": ["memory_data"],
            "personality": {"trait1": 0.8, "trait2": 0.6},
            "skills": ["skill1", "skill2"],
            "emotions": {"happiness": 0.7, "curiosity": 0.9},
            "consciousness_signature": f"signature_{user_id}_{int(time.time())}"
        }
