
from dataclasses import dataclass
from typing import Dict, List, Optional, Union
import enum

class NodeType(enum.Enum):
    COMPUTE = "compute"
    STORAGE = "storage"
    VALIDATOR = "validator"
    COORDINATOR = "coordinator"

@dataclass
class NodeConfiguration:
    node_id: str
    node_type: NodeType
    max_memory: int  # MB
    max_cpu_cores: int
    gpu_available: bool
    network_bandwidth: int  # Mbps
    storage_capacity: int  # GB
    
class SecurityConfig:
    def __init__(
        self,
        encryption_enabled: bool = True,
        privacy_epsilon: float = 0.1,
        min_participants: int = 3,
        trust_score_threshold: float = 0.8
    ):
        self.encryption_enabled = encryption_enabled
        self.privacy_epsilon = privacy_epsilon
        self.min_participants = min_participants
        self.trust_score_threshold = trust_score_threshold

class FederatedConfig:
    def __init__(
        self,
        rounds_per_epoch: int = 10,
        min_samples_per_node: int = 1000,
        aggregation_method: str = "fedavg",
        compression_ratio: float = 0.1
    ):
        self.rounds_per_epoch = rounds_per_epoch
        self.min_samples_per_node = min_samples_per_node
        self.aggregation_method = aggregation_method
        self.compression_ratio = compression_ratio

class VAInNode:
    def __init__(
        self,
        node_config: NodeConfiguration,
        security_config: SecurityConfig,
        federated_config: FederatedConfig
    ):
        self.node_config = node_config
        self.security_config = security_config
        self.federated_config = federated_config
        self.is_active = False
        
    def start(self) -> bool:
        """Start the vAIn node and join the network."""
        # Example implementation
        self.is_active = True
        return True
    
    def participate_in_round(self, round_id: int) -> Dict:
        """Participate in a federated learning round."""
        if not self.is_active:
            raise RuntimeError("Node must be active to participate")
            
        # Example implementation
        return {
            "round_id": round_id,
            "node_id": self.node_config.node_id,
            "updates": {"weights": [], "gradients": []}
        }

# Usage Examples

def example_compute_node():
    """Example of setting up a compute node."""
    node_config = NodeConfiguration(
        node_id="compute-01",
        node_type=NodeType.COMPUTE,
        max_memory=16384,  # 16GB
        max_cpu_cores=8,
        gpu_available=True,
        network_bandwidth=1000,  # 1Gbps
        storage_capacity=1000  # 1TB
    )
    
    security_config = SecurityConfig(
        encryption_enabled=True,
        privacy_epsilon=0.1,
        min_participants=3,
        trust_score_threshold=0.8
    )
    
    federated_config = FederatedConfig(
        rounds_per_epoch=10,
        min_samples_per_node=1000,
        aggregation_method="fedavg",
        compression_ratio=0.1
    )
    
    node = VAInNode(
        node_config=node_config,
        security_config=security_config,
        federated_config=federated_config
    )
    
    return node

def example_validator_node():
    """Example of setting up a validator node."""
    node_config = NodeConfiguration(
        node_id="validator-01",
        node_type=NodeType.VALIDATOR,
        max_memory=32768,  # 32GB
        max_cpu_cores=16,
        gpu_available=False,
        network_bandwidth=10000,  # 10Gbps
        storage_capacity=2000  # 2TB
    )
    
    # Higher security requirements for validators
    security_config = SecurityConfig(
        encryption_enabled=True,
        privacy_epsilon=0.05,  # Stricter privacy
        min_participants=5,    # More participants required
        trust_score_threshold=0.9  # Higher trust requirement
    )
    
    federated_config = FederatedConfig(
        rounds_per_epoch=20,   # More rounds for validation
        min_samples_per_node=2000,
        aggregation_method="fedavg_secure",
        compression_ratio=0.05  # Less compression for accuracy
    )
    
    node = VAInNode(
        node_config=node_config,
        security_config=security_config,
        federated_config=federated_config
    )
    
    return node

if __name__ == "__main__":
    # Example usage
    compute_node = example_compute_node()
    compute_node.start()
    
    # Participate in learning round
    result = compute_node.participate_in_round(round_id=1)
    print(f"Node {compute_node.node_config.node_id} participated in round {result['round_id']}")
