"""
MTG Card Interaction Determinator

Determines specific card interactions (synergies, counters, evolutions)
using game rules and card profiles.
"""
from typing import List, Tuple, Optional
from dataclasses import dataclass
from card_profile_extractor import CardProfile


@dataclass
class InteractionResult:
    """Result of an interaction determination."""
    card_a_id: int
    card_b_id: int
    interaction_type: str  # 'synergy', 'counter', 'evolution'
    strength: int  # 1-5
    confidence: float  # 0.0-1.0
    notes: str
    metadata: dict = None
    
    def __post_init__(self):
        if self.metadata is None:
            self.metadata = {}


class InteractionDeterminator:
    """
    Determines card interactions using game rules.
    
    Uses deterministic rules based on:
    - Shared archetypes (e.g., both are goblins)
    - Supporting mechanics (e.g., one has haste, the other has trample)
    - Mana compatibility (same colors work well together)
    - Target/trigger relationships (one targets, the other interacts)
    - Evolution chains (same card, different versions)
    """
    
    def __init__(self):
        """Initialize the determinator."""
        pass
    
    def determine_synergies(
        self, profile_a: CardProfile, profile_b: CardProfile
    ) -> List[InteractionResult]:
        """
        Determine synergies between two cards.
        
        Synergies are positive interactions where cards work well together.
        
        Examples:
        - Both are goblins (archetype synergy)
        - One has haste, the other has trample (mechanic synergy)
        - Same color identity (mana synergy)
        - One targets creatures, the other buffs creatures (combo synergy)
        
        Args:
            profile_a: First card profile
            profile_b: Second card profile
            
        Returns:
            List of synergy results
        """
        synergies = []
        
        # 1. Archetype synergy: both share an archetype
        if profile_a.archetypes and profile_b.archetypes:
            common_archetypes = set(profile_a.archetypes) & set(profile_b.archetypes)
            if common_archetypes:
                synergies.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='synergy',
                    strength=3,
                    confidence=0.95,
                    notes=f"Both are {', '.join(common_archetypes)}",
                    metadata={'common_archetypes': list(common_archetypes)}
                ))
        
        # 2. Mana synergy: same color identity
        if profile_a.colors and profile_b.colors:
            if set(profile_a.colors) == set(profile_b.colors):
                synergies.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='synergy',
                    strength=4,
                    confidence=0.9,
                    notes="Same color identity",
                    metadata={'colors': profile_a.colors}
                ))
        
        # 3. Mechanic synergy: complementary mechanics
        if profile_a.mechanics and profile_b.mechanics:
            # Haste + trample = aggressive combo
            if ('haste' in profile_a.mechanics and 'trample' in profile_b.mechanics) or \
               ('haste' in profile_b.mechanics and 'trample' in profile_a.mechanics):
                synergies.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='synergy',
                    strength=4,
                    confidence=0.85,
                    notes="Haste + Trample combo",
                    metadata={'mechanics': ['haste', 'trample']}
                ))
            
            # Lifelink + combat keywords = combat combo
            combat_keywords = ['first_strike', 'double_strike', 'deathtouch', 'trample']
            if ('lifelink' in profile_a.mechanics and any(k in profile_b.mechanics for k in combat_keywords)) or \
               ('lifelink' in profile_b.mechanics and any(k in profile_a.mechanics for k in combat_keywords)):
                synergies.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='synergy',
                    strength=3,
                    confidence=0.8,
                    notes="Lifelink + combat keywords combo",
                    metadata={'mechanics': ['lifelink', 'combat']}
                ))
        
        # 4. Combo synergy: one targets, the other interacts with targets
        if profile_a.targets and profile_b.triggers:
            # Card A targets creatures, Card B interacts with creature actions
            if 'creature' in profile_a.targets:
                creature_actions = ['enters_battlefield', 'dies', 'attacks', 'blocks']
                if any(t in creature_actions for t in profile_b.triggers):
                    synergies.append(InteractionResult(
                        card_a_id=profile_a.id,
                        card_b_id=profile_b.id,
                        interaction_type='synergy',
                        strength=3,
                        confidence=0.85,
                        notes="Card A targets creatures, Card B interacts with creature actions",
                        metadata={'card_a_targets': 'creature', 'card_b_interacts': 'creature_actions'}
                    ))
        
        # 5. Support synergy: one has a mechanic, the other supports it
        if profile_a.mechanics and profile_b.effects:
            # If card B has an effect that supports card A's mechanic
            if 'haste' in profile_a.mechanics and 'gain_haste' in profile_b.effects:
                synergies.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='synergy',
                    strength=3,
                    confidence=0.8,
                    notes="Card B grants haste to Card A",
                    metadata={'mechanic': 'haste', 'effect': 'gain_haste'}
                ))
        
        return synergies
    
    def determine_counters(
        self, profile_a: CardProfile, profile_b: CardProfile
    ) -> List[InteractionResult]:
        """
        Determine counter relationships between two cards.
        
        Counters are negative interactions where one card is disadvantaged by another.
        
        Examples:
        - Different color identities (strategic tension)
        - One has higher power (stat disadvantage)
        - One counters the other's strategy (counter role)
        
        Args:
            profile_a: First card profile
            profile_b: Second card profile
            
        Returns:
            List of counter results
        """
        counters = []
        
        # 1. Color counter: different color identities
        if profile_a.colors and profile_b.colors:
            if set(profile_a.colors) != set(profile_b.colors):
                counters.append(InteractionResult(
                    card_a_id=profile_a.id,
                    card_b_id=profile_b.id,
                    interaction_type='counter',
                    strength=2,
                    confidence=0.8,
                    notes="Different color identities",
                    metadata={'colors_a': profile_a.colors, 'colors_b': profile_b.colors}
                ))
        
        # 2. Stat counter: one has significantly higher power
        if profile_a.power and profile_b.power:
            try:
                power_a = int(profile_a.power)
                power_b = int(profile_b.power)
                
                if power_a > power_b + 1:
                    counters.append(InteractionResult(
                        card_a_id=profile_a.id,
                        card_b_id=profile_b.id,
                        interaction_type='counter',
                        strength=3,
                        confidence=0.75,
                        notes=f"Card A has higher power ({power_a} vs {power_b})",
                        metadata={'power_a': power_a, 'power_b': power_b}
                    ))
                elif power_b > power_a + 1:
                    counters.append(InteractionResult(
                        card_a_id=profile_a.id,
                        card_b_id=profile_b.id,
                        interaction_type='counter',
                        strength=3,
                        confidence=0.75,
                        notes=f"Card B has higher power ({power_b} vs {power_a})",
                        metadata={'power_a': power_a, 'power_b': power_b}
                    ))
            except (ValueError, TypeError):
                pass
        
        # 3. Counter role: one targets creatures, the other has combat keywords
        if profile_a.targets and profile_b.mechanics:
            if 'creature' in profile_a.targets:
                combat_keywords = ['deathtouch', 'trample', 'first_strike', 'double_strike']
                if any(m in combat_keywords for m in profile_b.mechanics):
                    counters.append(InteractionResult(
                        card_a_id=profile_a.id,
                        card_b_id=profile_b.id,
                        interaction_type='counter',
                        strength=2,
                        confidence=0.6,
                        notes="Card A targets creatures, Card B has combat keywords",
                        metadata={'target': 'creature', 'mechanics': profile_b.mechanics}
                    ))
        
        return counters
    
    def determine_evolutions(
        self, profile_a: CardProfile, profile_b: CardProfile
    ) -> List[InteractionResult]:
        """
        Determine evolution relationships between two cards.
        
        Evolutions track when a card has been reprinted, transformed, or evolved.
        
        Examples:
        - Same name in different sets (reprint)
        - Transform pairs (different faces of same card)
        - Double-sided cards
        
        Args:
            profile_a: First card profile
            profile_b: Second card profile
            
        Returns:
            List of evolution results
        """
        evolutions = []
        
        # 1. Same name = reprint
        if profile_a.name == profile_b.name:
            evolutions.append(InteractionResult(
                card_a_id=profile_a.id,
                card_b_id=profile_b.id,
                interaction_type='evolution',
                strength=2,
                confidence=0.9,
                notes=f"Reprint of {profile_a.name}",
                metadata={'card_name': profile_a.name}
            ))
        
        # 2. Transform pairs would require checking card_faces in the database
        # This is handled separately in the pipeline
        
        return evolutions
    
    def determine_all_interactions(
        self, 
        profiles: List[CardProfile]
    ) -> dict:
        """
        Determine all interactions for a batch of cards.
        
        Args:
            profiles: List of card profiles
            
        Returns:
            Dictionary with:
            - synergies: list of synergy results
            - counters: list of counter results
            - evolutions: list of evolution results
        """
        synergies = []
        counters = []
        evolutions = []
        
        # Compare all pairs
        for i in range(len(profiles)):
            for j in range(i + 1, len(profiles)):
                profile_a = profiles[i]
                profile_b = profiles[j]
                
                # Determine synergies
                synergies.extend(self.determine_synergies(profile_a, profile_b))
                
                # Determine counters
                counters.extend(self.determine_counters(profile_a, profile_b))
                
                # Determine evolutions
                evolutions.extend(self.determine_evolutions(profile_a, profile_b))
        
        return {
            'synergies': synergies,
            'counters': counters,
            'evolutions': evolutions,
        }