agents/automation_ops_agent.py

import asyncio
from typing import Dict, List, Any
from core.agent import BaseAgent
from core.models import AgentConfig, Task, AgentMessage, SEOData
import logging
import random
import os
import json
from datetime import datetime

logger = logging.getLogger(__name__)


class AutomationOpsAgent(BaseAgent):
    """Automation & Ops Agent responsible for system operations and reliability"""
    
    def __init__(self, config: AgentConfig):
        super().__init__(config)
        self.task_scheduler = {}
        self.system_monitoring = {}
        self.backup_jobs = []
        self.performance_metrics = {}
        
    async def execute(self):
        """Execute automation and operations functions"""
        logger.info(f"{self.name} executing automation and operations...")
        
        # Schedule tasks
        await self.schedule_tasks()
        
        # Monitor system health
        await self.monitor_system()
        
        # Manage backups
        await self.manage_backups()
        
        # Track performance metrics
        await self.track_performance()
    
    async def schedule_tasks(self):
        """Schedule and manage tasks across the system"""
        logger.info(f"{self.name} scheduling tasks...")
        
        # Simulate task scheduling
        scheduled_tasks = {
            "daily": [
                {"agent": "tech_seo", "task": "website_audit", "time": "02:00"},
                {"agent": "content_seo", "task": "content_performance_review", "time": "03:00"},
                {"agent": "conversion_cro", "task": "analytics_report", "time": "04:00"}
            ],
            "weekly": [
                {"agent": "seo_director", "task": "competitor_analysis", "day": "monday", "time": "01:00"},
                {"agent": "link_authority", "task": "backlink_audit", "day": "wednesday", "time": "02:00"},
                {"agent": "self_improvement", "task": "workflow_optimization", "day": "friday", "time": "03:00"}
            ],
            "monthly": [
                {"agent": "ceo_strategy", "task": "market_analysis", "date": "1st", "time": "00:00"},
                {"agent": "client_management", "task": "account_review", "date": "15th", "time": "09:00"}
            ]
        }
        
        self.task_scheduler.update(scheduled_tasks)
        
        # Log scheduled tasks
        total_tasks = sum([len(tasks) for tasks in scheduled_tasks.values()])
        logger.info(f"Scheduled {total_tasks} tasks across daily, weekly, and monthly cycles")
    
    async def monitor_system(self):
        """Monitor system health and performance"""
        logger.info(f"{self.name} monitoring system health...")
        
        # Simulate system monitoring
        monitoring_data = {
            "cpu_usage": "45%",
            "memory_usage": "60%",
            "disk_space": "75%_used",
            "active_agents": 8,
            "pending_tasks": 12,
            "system_uptime": "99.9%",
            "last_error": "none_recently"
        }
        
        self.system_monitoring.update(monitoring_data)
        
        # Log monitoring data
        logger.info(f"System monitoring: CPU {monitoring_data['cpu_usage']}, Memory {monitoring_data['memory_usage']}")
    
    async def manage_backups(self):
        """Manage system backups and data recovery"""
        logger.info(f"{self.name} managing backups...")
        
        # Simulate backup jobs
        backup_jobs = [
            {
                "job_name": "daily_database_backup",
                "schedule": "daily_2am",
                "last_run": (datetime.now()).strftime('%Y-%m-%d %H:%M'),
                "status": "successful",
                "location": "/backups/database_daily.zip"
            },
            {
                "job_name": "weekly_content_backup", 
                "schedule": "weekly_sunday_3am",
                "last_run": (datetime.now()).strftime('%Y-%m-%d %H:%M'),
                "status": "successful",
                "location": "/backups/content_weekly.zip"
            },
            {
                "job_name": "monthly_config_backup",
                "schedule": "monthly_1st_4am",
                "last_run": (datetime.now()).strftime('%Y-%m-%d %H:%M'),
                "status": "successful",
                "location": "/backups/config_monthly.zip"
            }
        ]
        
        self.backup_jobs.extend(backup_jobs)
        
        # Log backup jobs
        logger.info(f"Managed {len(backup_jobs)} backup jobs")
    
    async def track_performance(self):
        """Track system performance metrics"""
        logger.info(f"{self.name} tracking performance metrics...")
        
        # Simulate performance tracking
        performance_data = {
            "response_times": {"avg": "2.3s", "p95": "4.1s", "p99": "6.7s"},
            "throughput": {"tasks_completed": 1250, "per_day": 150},
            "error_rates": {"overall": "0.8%", "by_component": {"api": "0.2%", "db": "0.1%", "llm": "0.5%"}},
            "resource_utilization": {"cpu_avg": "45%", "memory_avg": "60%"}
        }
        
        self.performance_metrics.update(performance_data)
        
        # Send performance data to Self-Improvement agent
        await self.send_message(
            recipient="self_improvement",
            content=f"Performance metrics: {performance_data}",
            message_type="info"
        )
    
    async def _execute_task_logic(self, task: Task) -> Dict[str, Any]:
        """Execute specific task logic for Automation & Ops agent"""
        if task.type == "schedule_tasks":
            await self.schedule_tasks()
            return {"status": "completed", "result": self.task_scheduler}
        elif task.type == "monitor_system":
            await self.monitor_system()
            return {"status": "completed", "result": self.system_monitoring}
        elif task.type == "manage_backups":
            await self.manage_backups()
            return {"status": "completed", "result": self.backup_jobs}
        else:
            return {"status": "error", "message": f"Unknown task type: {task.type}"}