import aiohttp
import asyncio
from modules.blockchain_logger import BlockchainLogger
from modules.threat_intelligence import ThreatIntelligence

class RealTimeThreatIntelligence:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://api.threatintelligence.com/v1"
        self.blockchain_logger = BlockchainLogger()
        self.threat_intelligence = ThreatIntelligence()

    async def fetch_threat_data(self, endpoint):
        headers = {"Authorization": f"Bearer {self.api_key}"}
        async with aiohttp.ClientSession() as session:
            async with session.get(f"{self.base_url}/{endpoint}", headers=headers) as response:
                data = await response.json()
                self.blockchain_logger.log_action(f"Fetched threat data from {endpoint}")
                return data

    async def get_latest_threats(self):
        return await self.fetch_threat_data("latest-threats")

    async def get_threat_by_id(self, threat_id):
        return await self.fetch_threat_data(f"threats/{threat_id}")

    def analyze_threats(self, threats):
        analyzed_threats = sorted(threats, key=lambda x: x["severity"], reverse=True)
        for threat in analyzed_threats:
            threat["risk_score"] = self.calculate_risk_score(threat)
        self.blockchain_logger.log_action("Analyzed threats")
        return analyzed_threats

    def calculate_risk_score(self, threat):
        base_score = threat["severity"] * 10
        if threat["type"] == "malware":
            base_score += 5
        elif threat["type"] == "phishing":
            base_score += 3
        return base_score

    async def update_attack_simulations(self):
        latest_threats = await self.get_latest_threats()
        analyzed_threats = self.analyze_threats(latest_threats)
        updated_simulations = self.generate_attack_simulations(analyzed_threats)
        self.blockchain_logger.log_action("Updated attack simulations")
        return updated_simulations

    def generate_attack_simulations(self, threats):
        simulations = []
        for threat in threats:
            if threat["risk_score"] > 80:
                simulations.append("High-Risk Attack Simulation")
            elif threat["risk_score"] > 50:
                simulations.append("Medium-Risk Attack Simulation")
            else:
                simulations.append("Low-Risk Attack Simulation")
        self.blockchain_logger.log_action("Generated attack simulations")
        return simulations

    async def integrate_with_new_components(self, new_component_data):
        latest_threats = await self.threat_intelligence.get_threat_intelligence()
        analyzed_threats = self.threat_intelligence.process_data(latest_threats)
        updated_simulations = self.generate_attack_simulations(analyzed_threats)
        return updated_simulations

    def ensure_compatibility(self, existing_data, new_component_data):
        compatible_data = {
            "existing_data": existing_data,
            "new_component_data": new_component_data
        }
        return compatible_data

# For detailed plans on future implementations, please refer to the `future_implementations_plan.md` file.