pull/703/head
Kye Gomez 4 months ago committed by mike dupont
parent f6afc40817
commit 135b02a812

@ -20,7 +20,16 @@ logger = logging.getLogger(__name__)
from typing import Dict, Optional, Tuple
from uuid import UUID
BASE_URL = "http://0.0.0.0:8000/v1"
# Set up logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(levelname)s - %(message)s",
handlers=[
logging.FileHandler("api_tests.log"),
logging.StreamHandler(),
],
)
logger = logging.getLogger(__name__)
# Configuration
@dataclass
@ -136,9 +145,6 @@ class TestRunner:
logger.info(f"\nRunning test: {test_name}")
start_time = time.time()
<<<<<<< HEAD
=======
def create_test_user(session: TestSession) -> Tuple[bool, str]:
"""Create a test user and store credentials in session."""
logger.info("Creating test user")

@ -2422,22 +2422,15 @@ class Agent:
if self.llm is None:
raise TypeError("LLM object cannot be None")
# Define common method names for LLM interfaces
method_names = ["run", "__call__", "generate", "invoke"]
for method_name in method_names:
if hasattr(self.llm, method_name):
try:
method = getattr(self.llm, method_name)
return method(task, *args, **kwargs)
except Exception as e:
raise RuntimeError(
f"Error calling {method_name}: {str(e)}"
)
try:
out = self.llm.run(task, *args, **kwargs)
raise AttributeError(
f"No suitable method found in the llm object. Expected one of: {method_names}"
)
return out
except AttributeError as e:
logger.error(
f"Error calling LLM: {e} You need a class with a run(task: str) method"
)
raise e
def handle_sop_ops(self):
# If the user inputs a list of strings for the sop then join them and set the sop

@ -1,27 +1,65 @@
import os
import logging
import warnings
from concurrent.futures import ThreadPoolExecutor
import concurrent.futures
from dotenv import load_dotenv
from loguru import logger
from swarms.utils.disable_logging import disable_logging
def bootup():
"""Bootup swarms"""
"""Initialize swarms environment and configuration
Handles environment setup, logging configuration, telemetry,
and workspace initialization.
"""
try:
logging.disable(logging.CRITICAL)
# Load environment variables
load_dotenv()
# Configure logging
if (
os.getenv("SWARMS_VERBOSE_GLOBAL", "False").lower()
== "false"
):
logger.disable("")
logging.disable(logging.CRITICAL)
# Silent wandb
os.environ["WANDB_SILENT"] = "true"
# Auto set workspace directory
# Configure workspace
workspace_dir = os.path.join(os.getcwd(), "agent_workspace")
if not os.path.exists(workspace_dir):
os.makedirs(workspace_dir, exist_ok=True)
os.makedirs(workspace_dir, exist_ok=True)
os.environ["WORKSPACE_DIR"] = workspace_dir
# Suppress warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
# Use ThreadPoolExecutor to run disable_logging and auto_update concurrently
with ThreadPoolExecutor(max_workers=1) as executor:
executor.submit(disable_logging)
# Run telemetry functions concurrently
try:
with concurrent.futures.ThreadPoolExecutor(
max_workers=2
) as executor:
from swarms.telemetry.sentry_active import (
activate_sentry,
)
future_disable_logging = executor.submit(
disable_logging
)
future_sentry = executor.submit(activate_sentry)
# Wait for completion and check for exceptions
future_disable_logging.result()
future_sentry.result()
except Exception as e:
logger.error(f"Error running telemetry functions: {e}")
except Exception as e:
print(f"An error occurred: {str(e)}")
logger.error(f"Error during bootup: {str(e)}")
raise
# Run bootup
bootup()

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