"""
Core Swarm implementation for coordinating distributed AI agents.
"""
from typing import Any, Dict, List, Optional


class Agent:
    """
    Individual AI agent in the swarm with specific capabilities.
    """
    
    def __init__(
        self, 
        agent_id: str, 
        model_type: str = "transformer", 
        specialization: str = "general"
    ):
        """
        Initialize an AI agent.
        
        Args:
            agent_id: Unique identifier for the agent
            model_type: The underlying model architecture
            specialization: The area this agent specializes in
        """
        self.agent_id = agent_id
        self.model_type = model_type
        self.specialization = specialization
        self.is_active = False
        
    def activate(self):
        """Activate the agent for operation."""
        self.is_active = True
        
    def deactivate(self):
        """Deactivate the agent."""
        self.is_active = False


class SwarmResults:
    """Container for results from swarm operations."""
    
    def __init__(self, data: Dict[str, Any]):
        """
        Initialize results container.
        
        Args:
            data: Raw result data
        """
        self.data = data
        
    def summary(self) -> Dict[str, Any]:
        """
        Provide a summary of the results.
        
        Returns:
            Dictionary containing result summary
        """
        return {
            "success": True,
            "metrics": self.data.get("metrics", {}),
            "agents_participated": self.data.get("agents_participated", []),
        }


class Swarm:
    """
    Manages a collection of agents for collaborative intelligence tasks.
    """
    
    def __init__(self, capacity: int = 10, communication_protocol: str = "mesh"):
        """
        Initialize a swarm with configuration.
        
        Args:
            capacity: Maximum number of agents
            communication_protocol: Protocol for inter-agent communication
        """
        self.capacity = capacity
        self.communication_protocol = communication_protocol
        self.agents: List[Agent] = []
        
    def add_agent(self, agent: Agent) -> bool:
        """
        Add an agent to the swarm.
        
        Args:
            agent: Agent instance to add
            
        Returns:
            Success status
        """
        if len(self.agents) >= self.capacity:
            return False
        
        self.agents.append(agent)
        return True
        
    def initialize(self):
        """Initialize all agents in the swarm."""
        for agent in self.agents:
            agent.activate()
            
    def solve(self, problem: str, data: Any) -> SwarmResults:
        """
        Solve a problem collaboratively with the swarm.
        
        Args:
            problem: Type of problem to solve
            data: Input data for the problem
            
        Returns:
            Results of the swarm computation
        """
        # Placeholder implementation
        return SwarmResults({
            "problem": problem,
            "metrics": {"accuracy": 0.95, "latency_ms": 120},
            "agents_participated": [agent.agent_id for agent in self.agents],
        }) 