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from __future__ import annotations
from abc import abstractmethod
from typing import TYPE_CHECKING, List, Tuple, Any
from pydantic import BaseModel
from agentverse.agents import ExecutorAgent
from agentverse.message import SolverMessage, ExecutorMessage
from . import executor_registry
class BaseExecutor(BaseModel):
"""
The base class of execution.
"""
def step(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[SolverMessage],
*args,
**kwargs,
) -> List[ExecutorMessage]:
pass
async def astep(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[str],
*args,
**kwargs,
) -> List[ExecutorMessage]:
pass
def reset(self):
pass
@executor_registry.register("none")
class NoneExecutor(BaseExecutor):
"""
The base class of execution.
"""
def step(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[SolverMessage],
*args,
**kwargs,
) -> Any:
return [ExecutorMessage(content="")]
async def astep(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[SolverMessage],
*args,
**kwargs,
) -> Any:
return [ExecutorMessage(content="")]
def reset(self):
pass
@executor_registry.register("dummy")
class DummyExecutor(BaseExecutor):
"""
The base class of execution.
"""
def step(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[SolverMessage],
*args,
**kwargs,
) -> Any:
return [ExecutorMessage(content=s.content) for s in solution]
async def astep(
self,
agent: ExecutorAgent,
task_description: str,
solution: List[SolverMessage],
*args,
**kwargs,
) -> Any:
return [ExecutorMessage(content=s.content) for s in solution]
def reset(self):
pass
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