AgentFarm Architecture Review & Recommendations

# farm/core/managers/__init__.py
from .agent_manager import AgentManager
from .resource_manager import ResourceManager
from .spatial_manager import SpatialManager
from .metrics_manager import MetricsManager
from .action_manager import ActionManager

# farm/core/environment.py (simplified)
class Environment(AECEnv):
    def __init__(self, config: EnvironmentConfig):
        self.agent_manager = AgentManager(config.agent_config)
        self.resource_manager = ResourceManager(config.resource_config)
        self.spatial_manager = SpatialManager(config.spatial_config)
        self.metrics_manager = MetricsManager(config.metrics_config)
        self.action_manager = ActionManager(config.action_config)

        # Dependency injection container
        self.container = DependencyContainer()
        self.container.register(AgentManager, self.agent_manager)
        self.container.register(ResourceManager, self.resource_manager)
        # ... other registrations

# farm/actions/__init__.py
from .action_registry import ActionRegistry
from .base_action import BaseAction
from .action_factory import ActionFactory

# farm/actions/action_registry.py
class ActionRegistry:
    def __init__(self):
        self._actions = {}
        self._categories = {}

    def register(self, action_class: Type[BaseAction], category: str = None):
        self._actions[action_class.__name__] = action_class
        if category:
            self._categories.setdefault(category, []).append(action_class)

    def get_action(self, name: str) -> Type[BaseAction]:
        return self._actions[name]

    def get_actions_by_category(self, category: str) -> List[Type[BaseAction]]:
        return self._categories.get(category, [])

# farm/analysis/base_analyzer.py
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional
import pandas as pd

class BaseAnalyzer(ABC):
    @abstractmethod
    def name(self) -> str:
        """Return the analyzer name."""
        pass

    @abstractmethod
    def description(self) -> str:
        """Return analyzer description."""
        pass

    @abstractmethod
    def required_data(self) -> List[str]:
        """Return list of required data columns."""
        pass

    @abstractmethod
    def analyze(self, data: pd.DataFrame, **kwargs) -> Dict[str, Any]:
        """Perform analysis and return results."""
        pass

    @abstractmethod
    def visualize(self, results: Dict[str, Any], **kwargs) -> Optional[Figure]:
        """Create visualization for results."""
        pass

# farm/core/di/container.py
from typing import Type, TypeVar, Generic, Dict, Any, Optional
import inspect

T = TypeVar('T')

class DependencyContainer:
    def __init__(self):
        self._services: Dict[Type, Any] = {}
        self._factories: Dict[Type, Callable] = {}

    def register(self, interface: Type[T], implementation: T) -> None:
        """Register a service instance."""
        self._services[interface] = implementation

    def register_factory(self, interface: Type[T], factory: Callable[[], T]) -> None:
        """Register a factory function."""
        self._factories[interface] = factory

    def resolve(self, interface: Type[T]) -> T:
        """Resolve a service by interface."""
        if interface in self._services:
            return self._services[interface]

        if interface in self._factories:
            return self._factories[interface]()

        # Try to auto-resolve by finding implementations
        return self._auto_resolve(interface)

    def _auto_resolve(self, interface: Type[T]) -> T:
        """Automatically resolve interface to implementation."""
        # Implementation logic for finding and instantiating classes
        # that implement the requested interface
        pass

# Before (tight coupling)
class BaseAgent:
    def __init__(self, agent_id: str, environment: Environment):
        self.move_module = MoveModule(DEFAULT_MOVE_CONFIG)
        self.attack_module = AttackModule(DEFAULT_ATTACK_CONFIG)
        self.gather_module = GatherModule(DEFAULT_GATHER_CONFIG)

# After (dependency injection)
class BaseAgent:
    def __init__(self,
                 agent_id: str,
                 environment: Environment,
                 action_modules: Dict[str, BaseActionModule],
                 observation_system: ObservationSystem,
                 memory_manager: Optional[MemoryManager] = None):
        self.action_modules = action_modules
        self.observation_system = observation_system
        self.memory_manager = memory_manager

# farm/core/config/__init__.py
from .config_manager import ConfigManager
from .config_schema import ConfigSchema
from .validators import ConfigValidator

# farm/core/config/config_manager.py
class ConfigManager:
    def __init__(self, schema: ConfigSchema):
        self.schema = schema
        self._configs = {}
        self._validators = {}

    def load_config(self, config_path: str) -> Dict[str, Any]:
        """Load and validate configuration from file."""
        # Load YAML/JSON configuration
        # Validate against schema
        # Apply defaults
        pass

    def get_config(self, component: str) -> Dict[str, Any]:
        """Get configuration for a specific component."""
        return self._configs.get(component, {})

    def inject_dependencies(self, container: DependencyContainer):
        """Inject configuration into dependency container."""
        for component, config in self._configs.items():
            container.register(f"{component}_config", config)

# farm/core/interfaces/__init__.py
from .agent import AgentInterface
from .environment import EnvironmentInterface
from .action import ActionInterface
from .observation import ObservationInterface
from .analyzer import AnalyzerInterface

# farm/core/interfaces/agent.py
from abc import ABC, abstractmethod
from typing import Dict, Any, Tuple, Optional

class AgentInterface(ABC):
    @property
    @abstractmethod
    def agent_id(self) -> str:
        """Unique agent identifier."""
        pass

    @property
    @abstractmethod
    def position(self) -> Tuple[float, float]:
        """Current agent position."""
        pass

    @abstractmethod
    def act(self, observation: Dict[str, Any]) -> Dict[str, Any]:
        """Choose and return an action based on observation."""
        pass

    @abstractmethod
    def update(self, reward: float, next_observation: Dict[str, Any]) -> None:
        """Update agent state based on reward and next observation."""
        pass

    @abstractmethod
    def is_alive(self) -> bool:
        """Check if agent is still active."""
        pass

# farm/actions/interfaces.py
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional, Tuple
import torch

class ActionModuleInterface(ABC):
    @abstractmethod
    def get_action(self, observation: torch.Tensor, **kwargs) -> Tuple[int, Dict[str, Any]]:
        """Get action from observation."""
        pass

    @abstractmethod
    def train_step(self, batch: Dict[str, torch.Tensor]) -> Dict[str, float]:
        """Perform a training step."""
        pass

    @abstractmethod
    def save_model(self, path: str) -> None:
        """Save model weights."""
        pass

    @abstractmethod
    def load_model(self, path: str) -> None:
        """Load model weights."""
        pass

    @abstractmethod
    def get_config(self) -> Dict[str, Any]:
        """Get module configuration."""
        pass

# farm/core/interfaces/environment.py
from abc import ABC, abstractmethod
from typing import Dict, Any, List, Tuple, Optional
import gymnasium as gym

class EnvironmentInterface(gym.Env, ABC):
    @abstractmethod
    def add_agent(self, agent: AgentInterface) -> None:
        """Add an agent to the environment."""
        pass

    @abstractmethod
    def remove_agent(self, agent_id: str) -> None:
        """Remove an agent from the environment."""
        pass

    @abstractmethod
    def get_agents(self) -> List[AgentInterface]:
        """Get all active agents."""
        pass

    @abstractmethod
    def get_observation(self, agent_id: str) -> Dict[str, Any]:
        """Get observation for specific agent."""
        pass

    @abstractmethod
    def execute_action(self, agent_id: str, action: Dict[str, Any]) -> float:
        """Execute action for agent and return reward."""
        pass

    @abstractmethod
    def is_done(self) -> bool:
        """Check if environment episode is complete."""
        pass

# farm/core/plugins/__init__.py
from .plugin_manager import PluginManager
from .plugin_interface import PluginInterface
from .hooks import HookSystem

# farm/core/plugins/plugin_interface.py
from abc import ABC, abstractmethod
from typing import Dict, Any, Optional

class PluginInterface(ABC):
    @abstractmethod
    def name(self) -> str:
        """Plugin name."""
        pass

    @abstractmethod
    def version(self) -> str:
        """Plugin version."""
        pass

    @abstractmethod
    def initialize(self, context: PluginContext) -> None:
        """Initialize plugin with context."""
        pass

    @abstractmethod
    def shutdown(self) -> None:
        """Shutdown plugin."""
        pass

    @abstractmethod
    def get_hooks(self) -> Dict[str, Callable]:
        """Get plugin hook implementations."""
        pass

# farm/core/plugins/plugin_manager.py
class PluginManager:
    def __init__(self):
        self._plugins = {}
        self._hooks = HookSystem()

    def load_plugin(self, plugin_path: str) -> None:
        """Load plugin from path."""
        # Dynamic import and validation
        # Register hooks
        pass

    def unload_plugin(self, plugin_name: str) -> None:
        """Unload plugin."""
        pass

    def get_plugin(self, name: str) -> Optional[PluginInterface]:
        """Get loaded plugin."""
        return self._plugins.get(name)

    def trigger_hook(self, hook_name: str, *args, **kwargs) -> List[Any]:
        """Trigger a hook across all plugins."""
        return self._hooks.trigger(hook_name, *args, **kwargs)

# farm/core/extensions/__init__.py
from .extension_registry import ExtensionRegistry
from .extension_loader import ExtensionLoader

# farm/core/extensions/extension_registry.py
from typing import Type, Dict, List, Any
from .extension_points import ExtensionPoint

class ExtensionRegistry:
    def __init__(self):
        self._extensions: Dict[str, List[Type]] = {}
        self._extension_points: Dict[str, ExtensionPoint] = {}

    def register_extension_point(self, name: str, interface: Type) -> None:
        """Register an extension point."""
        self._extension_points[name] = ExtensionPoint(name, interface)

    def register_extension(self, extension_point: str, extension_class: Type) -> None:
        """Register an extension for an extension point."""
        if extension_point not in self._extension_points:
            raise ValueError(f"Unknown extension point: {extension_point}")

        self._extensions.setdefault(extension_point, []).append(extension_class)

    def get_extensions(self, extension_point: str) -> List[Type]:
        """Get all extensions for an extension point."""
        return self._extensions.get(extension_point, [])

    def create_extension(self, extension_point: str, name: str, *args, **kwargs) -> Any:
        """Create an instance of a named extension."""
        extensions = self.get_extensions(extension_point)
        for ext_class in extensions:
            if ext_class.__name__ == name:
                return ext_class(*args, **kwargs)
        raise ValueError(f"Extension not found: {name}")

# farm/core/events/__init__.py
from .event_system import EventSystem
from .event_types import EventTypes
from .event_data import EventData

# farm/core/events/event_system.py
from typing import Dict, List, Callable, Any
from collections import defaultdict
import asyncio

class EventSystem:
    def __init__(self):
        self._listeners: Dict[str, List[Callable]] = defaultdict(list)
        self._async_listeners: Dict[str, List[Callable]] = defaultdict(list)

    def subscribe(self, event_type: str, listener: Callable) -> None:
        """Subscribe to an event type."""
        self._listeners[event_type].append(listener)

    def subscribe_async(self, event_type: str, listener: Callable) -> None:
        """Subscribe to an event type with async listener."""
        self._async_listeners[event_type].append(listener)

    def publish(self, event_type: str, event_data: Any = None) -> None:
        """Publish an event synchronously."""
        for listener in self._listeners[event_type]:
            try:
                listener(event_data)
            except Exception as e:
                # Log error but continue
                pass

    async def publish_async(self, event_type: str, event_data: Any = None) -> None:
        """Publish an event asynchronously."""
        tasks = []
        for listener in self._async_listeners[event_type]:
            tasks.append(listener(event_data))
        await asyncio.gather(*tasks, return_exceptions=True)