import json
import logging
from typing import Dict, List, Optional, Tuple

from solana.rpc.api import Client
from solana.rpc.types import MemcmpOpts

from app.core.config import settings

logger = logging.getLogger(__name__)


class SolanaClient:
    """
    Client for interacting with Solana blockchain
    """
    
    def __init__(self, rpc_url: str = None):
        """
        Initialize Solana client with RPC URL
        """
        self.rpc_url = rpc_url or settings.SOLANA_RPC_URL
        self.client = Client(self.rpc_url)
    
    def get_latest_block(self) -> Dict:
        """
        Get latest finalized block
        """
        response = self.client.get_latest_blockhash()
        if "error" in response:
            logger.error(f"Error getting latest block: {response['error']}")
            raise Exception(f"Error getting latest block: {response['error']}")
        
        return response["result"]
    
    def get_block(self, slot: int) -> Dict:
        """
        Get block data by slot number
        """
        response = self.client.get_block(
            slot,
            encoding="json",
            max_supported_transaction_version=0,
            transaction_details="full",
        )
        
        if "error" in response:
            logger.error(f"Error getting block {slot}: {response['error']}")
            raise Exception(f"Error getting block {slot}: {response['error']}")
        
        return response["result"]
    
    def get_blocks(self, start_slot: int, end_slot: int = None) -> List[int]:
        """
        Get a list of confirmed blocks
        """
        if end_slot is None:
            # Get latest slot if end_slot not provided
            response = self.client.get_slot()
            if "error" in response:
                logger.error(f"Error getting latest slot: {response['error']}")
                raise Exception(f"Error getting latest slot: {response['error']}")
            
            end_slot = response["result"]
        
        response = self.client.get_blocks(start_slot, end_slot)
        
        if "error" in response:
            logger.error(f"Error getting blocks from {start_slot} to {end_slot}: {response['error']}")
            raise Exception(f"Error getting blocks from {start_slot} to {end_slot}: {response['error']}")
        
        return response["result"]
    
    def get_transaction(self, signature: str) -> Dict:
        """
        Get transaction details by signature
        """
        response = self.client.get_transaction(
            signature,
            encoding="json",
            max_supported_transaction_version=0,
        )
        
        if "error" in response:
            logger.error(f"Error getting transaction {signature}: {response['error']}")
            raise Exception(f"Error getting transaction {signature}: {response['error']}")
        
        return response["result"]
    
    def get_token_accounts_by_owner(self, owner: str, program_id: str = None) -> List[Dict]:
        """
        Get token accounts by owner
        """
        filters = []
        if program_id:
            filters.append(
                MemcmpOpts(
                    offset=0,
                    bytes=program_id,
                )
            )
        
        response = self.client.get_token_accounts_by_owner(
            owner,
            filters,
            encoding="jsonParsed",
        )
        
        if "error" in response:
            logger.error(f"Error getting token accounts for {owner}: {response['error']}")
            raise Exception(f"Error getting token accounts for {owner}: {response['error']}")
        
        return response["result"]["value"]
    
    def analyze_transaction_for_arbitrage(self, tx_data: Dict) -> Tuple[bool, Optional[Dict]]:
        """
        Analyze transaction data for potential arbitrage
        
        Returns a tuple of (is_arbitrage, arbitrage_data)
        """
        # This is a simple placeholder implementation
        # A real implementation would require advanced pattern matching
        # and knowledge of Solana DEX structures
        
        # Check if transaction has instructions
        if not tx_data or "transaction" not in tx_data:
            return False, None
        
        tx = tx_data["transaction"]
        if "message" not in tx or "instructions" not in tx["message"]:
            return False, None
        
        instructions = tx["message"]["instructions"]
        
        # Check if transaction has multiple token swaps
        # This is a simplistic approach - real implementation would be more sophisticated
        swap_count = 0
        token_programs = [
            "9xQeWvG816bUx9EPjHmaT23yvVM2ZWbrrpZb9PusVFin",  # Serum DEX v3
            "SwaPpA9LAaLfeLi3a68M4DjnLqgtticKg6CnyNwgAC8",   # Swap Program
            "27haf8L6oxUeXrHrgEgsexjSY5hbVUWEmvv9Nyxg8vQv",  # Jupiter Aggregator
        ]
        
        token_addresses = []
        for inst in instructions:
            if inst.get("programId") in token_programs:
                swap_count += 1
                # In a real implementation, we'd parse the instruction data
                # to identify the tokens being swapped
                
                # For now, we'll just use a placeholder
                token_addresses.append(f"token_{swap_count}")
        
        # Check for circular pattern (token A -> token B -> token C -> token A)
        if swap_count >= 3:
            # Check if first and last token are the same (circular)
            is_circular = len(token_addresses) >= 3 and token_addresses[0] == token_addresses[-1]
            
            if is_circular:
                # In a real implementation, we'd calculate the actual profit
                # For now, return a placeholder
                return True, {
                    "profit_token_address": token_addresses[0],
                    "profit_amount": 0.01,  # Placeholder
                    "path": json.dumps(token_addresses),
                    "confidence_score": 0.7,  # Placeholder
                }
        
        return False, None