Trying to fix linting and other warnings (#1417)

* Trying to fix linting

* fixing more type issues

* clean up ci

* more ci fixes

---------

Co-authored-by: Eduardo Chiarotti <dudumelgaco@hotmail.com>
This commit is contained in:
Brandon Hancock (bhancock_ai)
2024-10-11 09:45:53 -04:00
committed by GitHub
parent 02a8edf866
commit f1ecbc3f14
5 changed files with 63 additions and 78 deletions

View File

@@ -3,7 +3,13 @@ import re
from typing import Any, Dict, List, Union
from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
from crewai.agents.parser import CrewAgentParser
from crewai.agents.parser import (
FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE,
AgentAction,
AgentFinish,
CrewAgentParser,
OutputParserException,
)
from crewai.agents.tools_handler import ToolsHandler
from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException
from crewai.utilities import I18N, Printer
@@ -13,12 +19,6 @@ from crewai.utilities.exceptions.context_window_exceeding_exception import (
)
from crewai.utilities.logger import Logger
from crewai.utilities.training_handler import CrewTrainingHandler
from crewai.agents.parser import (
AgentAction,
AgentFinish,
OutputParserException,
FINAL_ANSWER_AND_PARSABLE_ACTION_ERROR_MESSAGE,
)
class CrewAgentExecutor(CrewAgentExecutorMixin):
@@ -307,34 +307,24 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
) -> None:
"""Function to handle the process of the training data."""
agent_id = str(self.agent.id)
if (
CrewTrainingHandler(TRAINING_DATA_FILE).load()
and not self.ask_for_human_input
):
training_data = CrewTrainingHandler(TRAINING_DATA_FILE).load()
if training_data.get(agent_id):
training_data[agent_id][self.crew._train_iteration][
"improved_output"
] = result.output
CrewTrainingHandler(TRAINING_DATA_FILE).save(training_data)
if self.ask_for_human_input and human_feedback is not None:
training_data = {
"initial_output": result.output,
"human_feedback": human_feedback,
"agent": agent_id,
"agent_role": self.agent.role,
}
# Load training data
training_handler = CrewTrainingHandler(TRAINING_DATA_FILE)
training_data = training_handler.load()
# Check if training data exists, human input is not requested, and self.crew is valid
if training_data and not self.ask_for_human_input:
if self.crew is not None and hasattr(self.crew, "_train_iteration"):
train_iteration = self.crew._train_iteration
if isinstance(train_iteration, int):
CrewTrainingHandler(TRAINING_DATA_FILE).append(
train_iteration, agent_id, training_data
)
if agent_id in training_data and isinstance(train_iteration, int):
training_data[agent_id][train_iteration][
"improved_output"
] = result.output
training_handler.save(training_data)
else:
self._logger.log(
"error",
"Invalid train iteration type. Expected int.",
"Invalid train iteration type or agent_id not in training data.",
color="red",
)
else:

View File

@@ -2,6 +2,7 @@ import asyncio
import json
import os
import uuid
import warnings
from concurrent.futures import Future
from hashlib import md5
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
@@ -57,6 +58,8 @@ if os.environ.get("AGENTOPS_API_KEY"):
if TYPE_CHECKING:
from crewai.pipeline.pipeline import Pipeline
warnings.filterwarnings("ignore", category=SyntaxWarning, module="pysbd")
class Crew(BaseModel):
"""

View File

@@ -149,9 +149,9 @@ class Flow(Generic[T], metaclass=FlowMeta):
_router_paths: Dict[str, List[str]] = {}
initial_state: Union[Type[T], T, None] = None
def __class_getitem__(cls, item: Type[T]) -> Type["Flow"]:
class _FlowGeneric(cls):
_initial_state_T: Type[T] = item
def __class_getitem__(cls: Type["Flow"], item: Type[T]) -> Type["Flow"]:
class _FlowGeneric(cls): # type: ignore
_initial_state_T = item # type: ignore
_FlowGeneric.__name__ = f"{cls.__name__}[{item.__name__}]"
return _FlowGeneric

View File

@@ -1,12 +1,12 @@
from functools import wraps
from typing import Callable
from crewai.project.utils import memoize
from crewai import Crew
from crewai.project.utils import memoize
def task(func):
if not hasattr(task, "registration_order"):
task.registration_order = []
func.is_task = True
@wraps(func)
def wrapper(*args, **kwargs):
@@ -15,9 +15,6 @@ def task(func):
result.name = func.__name__
return result
setattr(wrapper, "is_task", True)
task.registration_order.append(func.__name__)
return memoize(wrapper)
@@ -73,50 +70,45 @@ def pipeline(func):
return memoize(func)
def crew(func) -> "Crew":
def wrapper(self, *args, **kwargs):
def crew(func) -> Callable[..., Crew]:
def wrapper(self, *args, **kwargs) -> Crew:
instantiated_tasks = []
instantiated_agents = []
agent_roles = set()
all_functions = {
name: getattr(self, name)
for name in dir(self)
if callable(getattr(self, name))
}
tasks = {
name: func
for name, func in all_functions.items()
if hasattr(func, "is_task")
}
agents = {
name: func
for name, func in all_functions.items()
if hasattr(func, "is_agent")
}
# Sort tasks by their registration order
sorted_task_names = sorted(
tasks, key=lambda name: task.registration_order.index(name)
)
# Collect methods from crew in order
all_functions = [
(name, getattr(self, name))
for name, attr in self.__class__.__dict__.items()
if callable(attr)
]
tasks = [
(name, method)
for name, method in all_functions
if hasattr(method, "is_task")
]
# Instantiate tasks in the order they were defined
for task_name in sorted_task_names:
task_instance = tasks[task_name]()
agents = [
(name, method)
for name, method in all_functions
if hasattr(method, "is_agent")
]
# Instantiate tasks in order
for task_name, task_method in tasks:
task_instance = task_method()
instantiated_tasks.append(task_instance)
agent_instance = getattr(task_instance, "agent", None)
if agent_instance is not None:
agent_instance = task_instance.agent
if agent_instance.role not in agent_roles:
instantiated_agents.append(agent_instance)
agent_roles.add(agent_instance.role)
if agent_instance and agent_instance.role not in agent_roles:
instantiated_agents.append(agent_instance)
agent_roles.add(agent_instance.role)
# Instantiate any additional agents not already included by tasks
for agent_name in agents:
temp_agent_instance = agents[agent_name]()
if temp_agent_instance.role not in agent_roles:
instantiated_agents.append(temp_agent_instance)
agent_roles.add(temp_agent_instance.role)
# Instantiate agents not included by tasks
for agent_name, agent_method in agents:
agent_instance = agent_method()
if agent_instance.role not in agent_roles:
instantiated_agents.append(agent_instance)
agent_roles.add(agent_instance.role)
self.agents = instantiated_agents
self.tasks = instantiated_tasks

View File

@@ -1,17 +1,17 @@
import inspect
from pathlib import Path
from typing import Any, Callable, Dict, Type, TypeVar
from typing import Any, Callable, Dict, TypeVar, cast
import yaml
from dotenv import load_dotenv
load_dotenv()
T = TypeVar("T", bound=Type[Any])
T = TypeVar("T", bound=type)
def CrewBase(cls: T) -> T:
class WrappedClass(cls):
class WrappedClass(cls): # type: ignore
is_crew_class: bool = True # type: ignore
# Get the directory of the class being decorated
@@ -180,4 +180,4 @@ def CrewBase(cls: T) -> T:
callback_functions[callback]() for callback in callbacks
]
return WrappedClass
return cast(T, WrappedClass)