From 597095f0bf66d67875b122b5d250a0280975effd Mon Sep 17 00:00:00 2001
From: Patrick Devaney <patrickbdevaney@gmail.com>
Date: Tue, 24 Dec 2024 20:21:12 -0500
Subject: [PATCH] multi platform spreadsheet_swarm, deps build clusterops from
 github source

---
 tests/structs/test_spreadsheet_swarm.py | 17 ++---------------
 1 file changed, 2 insertions(+), 15 deletions(-)

diff --git a/tests/structs/test_spreadsheet_swarm.py b/tests/structs/test_spreadsheet_swarm.py
index 6f8c544f..4f1346c1 100644
--- a/tests/structs/test_spreadsheet_swarm.py
+++ b/tests/structs/test_spreadsheet_swarm.py
@@ -1,17 +1,14 @@
 import os
 from datetime import datetime
 from uuid import uuid4
-
 # Import necessary classes from your swarm module
 from swarms.structs.agent import Agent
 from swarms.structs.base_swarm import BaseSwarm
 from swarms.telemetry.capture_sys_data import log_agent_data
 from swarms.utils.file_processing import create_file_in_folder
 from swarms import SpreadSheetSwarm
-
 # Ensure you have an environment variable or default workspace dir
 workspace_dir = os.getenv("WORKSPACE_DIR", "./workspace")
-
 def create_agents(num_agents: int):
     """
     Create a list of agent instances.
@@ -27,14 +24,11 @@ def create_agents(num_agents: int):
         agent_name = f"Agent-{i + 1}"
         agents.append(Agent(agent_name=agent_name))
     return agents
-
 def main():
     # Number of agents to create
     num_agents = 5
-
     # Create the agents
     agents = create_agents(num_agents)
-
     # Initialize the swarm with agents and other configurations
     swarm = SpreadSheetSwarm(
         name="Test-Swarm",
@@ -44,35 +38,28 @@ def main():
         max_loops=2,
         workspace_dir=workspace_dir
     )
-
     # Run a sample task in the swarm (synchronously)
     task = "process_data"
     
     # Ensure the run method is synchronous
     swarm_metadata = swarm.run(task)  # Assuming this is made synchronous
-
     # Print swarm metadata after task completion
     print("Swarm Metadata:")
     print(swarm_metadata)
-
     # Check if CSV file has been created and saved
     if os.path.exists(swarm.save_file_path):
         print(f"Metadata saved to: {swarm.save_file_path}")
     else:
         print(f"Metadata not saved correctly. Check the save path.")
-
     # Test saving metadata to JSON file
     swarm.data_to_json_file()
-
     # Test exporting metadata to JSON
     swarm_json = swarm.export_to_json()
     print("Exported JSON metadata:")
     print(swarm_json)
-
-    # Log agent data (without ClusterOps imports)
+    # Log agent data
     print("Logging agent data:")
     print(log_agent_data(swarm.metadata.model_dump()))
-
 # Run the synchronous main function
 if __name__ == "__main__":
-    main()
+    main()
\ No newline at end of file