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"""
Base Agent class providing common functionality for all agent implementations.
"""
from abc import ABC, abstractmethod
from typing import Dict, Any, List, Optional
from datetime import datetime
import logging
import asyncio
from uuid import uuid4
from src.core.entities.agent import Agent, AgentType, AgentState
from src.shared.types import AgentConfig
class BaseAgent(ABC):
"""
Base class for all agent implementations.
This class provides common functionality and interfaces that all
agent implementations should inherit from.
"""
def __init__(self, agent_id: Optional[str] = None, name: str = "Base Agent"):
self.agent_id = agent_id or str(uuid4())
self.name = name
self.config: Optional[AgentConfig] = None
self.logger = logging.getLogger(f"{self.__class__.__name__}-{name}")
self.created_at = datetime.now()
self.last_active = datetime.now()
# Performance tracking
self.total_requests = 0
self.successful_requests = 0
self.failed_requests = 0
self.average_response_time = 0.0
# State management
self._is_initialized = False
self._is_shutdown = False
@abstractmethod
async def initialize(self, config: Dict[str, Any]) -> bool:
"""
Initialize the agent with configuration.
Args:
config: Configuration dictionary for the agent
Returns:
True if initialization was successful, False otherwise
"""
pass
@abstractmethod
async def execute(self, task: Any) -> Any:
"""
Execute a task.
Args:
task: The task to execute
Returns:
The result of task execution
"""
pass
@abstractmethod
async def shutdown(self) -> bool:
"""
Gracefully shutdown the agent.
Returns:
True if shutdown was successful, False otherwise
"""
pass
@abstractmethod
async def health_check(self) -> Dict[str, Any]:
"""
Perform a health check on the agent.
Returns:
Dictionary containing health information
"""
pass
def update_activity(self) -> None:
"""Update the last activity timestamp."""
self.last_active = datetime.now()
def record_request(self, success: bool, response_time: float) -> None:
"""
Record a request and its performance metrics.
Args:
success: Whether the request was successful
response_time: Time taken to process the request
"""
self.total_requests += 1
if success:
self.successful_requests += 1
else:
self.failed_requests += 1
# Update average response time using exponential moving average
if self.total_requests == 1:
self.average_response_time = response_time
else:
alpha = 0.1
self.average_response_time = (
alpha * response_time +
(1 - alpha) * self.average_response_time
)
self.update_activity()
@property
def success_rate(self) -> float:
"""Calculate the success rate of the agent."""
if self.total_requests == 0:
return 0.0
return self.successful_requests / self.total_requests
@property
def is_available(self) -> bool:
"""Check if the agent is available for new tasks."""
return self._is_initialized and not self._is_shutdown
@property
def uptime(self) -> float:
"""Get the uptime of the agent in seconds."""
return (datetime.now() - self.created_at).total_seconds()
def get_performance_metrics(self) -> Dict[str, Any]:
"""
Get comprehensive performance metrics for the agent.
Returns:
Dictionary containing performance metrics
"""
return {
"agent_id": self.agent_id,
"name": self.name,
"total_requests": self.total_requests,
"successful_requests": self.successful_requests,
"failed_requests": self.failed_requests,
"success_rate": self.success_rate,
"average_response_time": self.average_response_time,
"uptime": self.uptime,
"last_active": self.last_active.isoformat(),
"is_available": self.is_available,
"is_initialized": self._is_initialized,
"is_shutdown": self._is_shutdown
}
async def validate_configuration(self, config: Dict[str, Any]) -> bool:
"""
Validate agent configuration.
Args:
config: Configuration to validate
Returns:
True if configuration is valid, False otherwise
"""
try:
# Basic validation - can be overridden by subclasses
required_fields = ["agent_type", "model_config"]
for field in required_fields:
if field not in config:
self.logger.error(f"Missing required configuration field: {field}")
return False
return True
except Exception as e:
self.logger.error(f"Configuration validation failed: {e}")
return False
def _mark_initialized(self) -> None:
"""Mark the agent as initialized."""
self._is_initialized = True
self.logger.info(f"Agent {self.name} marked as initialized")
def _mark_shutdown(self) -> None:
"""Mark the agent as shutdown."""
self._is_shutdown = True
self.logger.info(f"Agent {self.name} marked as shutdown")
async def _safe_execute(self, task: Any, timeout: Optional[float] = None) -> Any:
"""
Safely execute a task with error handling and timeout.
Args:
task: The task to execute
timeout: Optional timeout in seconds
Returns:
The result of task execution
Raises:
Exception: If task execution fails
"""
start_time = datetime.now()
try:
if timeout:
result = await asyncio.wait_for(self.execute(task), timeout=timeout)
else:
result = await self.execute(task)
response_time = (datetime.now() - start_time).total_seconds()
self.record_request(True, response_time)
return result
except asyncio.TimeoutError:
response_time = (datetime.now() - start_time).total_seconds()
self.record_request(False, response_time)
raise Exception(f"Task execution timed out after {timeout} seconds")
except Exception as e:
response_time = (datetime.now() - start_time).total_seconds()
self.record_request(False, response_time)
self.logger.error(f"Task execution failed: {e}")
raise
def __str__(self) -> str:
"""String representation of the agent."""
return f"{self.__class__.__name__}(id={self.agent_id}, name={self.name})"
def __repr__(self) -> str:
"""Detailed string representation of the agent."""
return (f"{self.__class__.__name__}(agent_id='{self.agent_id}', "
f"name='{self.name}', initialized={self._is_initialized}, "
f"shutdown={self._is_shutdown})")