Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py

[patrickbdevaney]

Fix DateTime Handling, File Saving, and Add Test for SpreadsheetSwarm

Problem

While pushing the Docker image, issues were discovered in the spreadsheet_swarm.py file related to datetime imports and formatting. The file-saving mechanism similarly caused runtime issues. Furthermore, the SpreadsheetSwarm was stopping the deployment of the API from main.py, leading to operational disruptions.

An intermediate fix was applied to remove the save_to_csv function from spreadsheet_swarm.py to allow for deployment, but this fix was not optimal. The root cause has been addressed, and the functionality was reintroduced with an added test to ensure stability moving forward.

Changes Made

1. Fix DateTime Handling in spreadsheet_swarm.py

• The imports and usage of datetime were corrected to ensure proper handling of timestamp formatting
• The run method in spreadsheet_swarm.py was modified to use the correct timestamp format (ISO 8601) for both swarm run and task logs
• This ensures clear and consistent logging, eliminating previous inconsistencies with datetime handling

2. Fix File Saving

• The file saving mechanism for metadata was adjusted to ensure the swarm's metadata is properly serialized and saved to CSV files
• The file naming convention was clarified to avoid conflicts with existing files
• Unique filenames are now generated for every swarm run, which prevents accidental overwrites
• Additional checks were added to verify that the file saving process was successful

3. Test File for spreadsheet_swarm.py

A new test file (test_spread.py) was created to verify the core functionality of the SpreadsheetSwarm component. The test file includes:

• Swarm Creation: Ensures a swarm is created with the correct number of agents
• Task Execution: Verifies that the swarm can execute tasks correctly
• CSV File Saving: Confirms that metadata is saved to a uniquely named CSV file after a swarm run
• JSON Export: Verifies that metadata can be exported properly to JSON format
• Agent Data Logging: Ensures agent data is logged correctly

4. Fix to main.py

• Fixed a syntax error in the run_server function of main.py, which was previously preventing the deployment of the API
• The fix ensures proper execution of the server without errors

Files Changed

spreadsheet_swarm.py

• Fixed datetime imports and formatting
• Corrected the file saving mechanism to properly output data to CSV
• Reintroduced the save_to_csv functionality

test_spreadsheet_swarm.py

Added to verify the core functionality of SpreadsheetSwarm:

• Verifies swarm creation, task execution, and saving to CSV
• Confirms metadata export to JSON and accurate logging of agent data

main.py

• Fixed a syntax error in the run_server function to enable proper deployment of the API

Testing

Unit Tests

The test file test_spread.py was added to verify the changes made to spreadsheet_swarm.py. The following aspects of the SpreadsheetSwarm were tested:

• Swarm Initialization: Ensures that the swarm is created with the correct number of agents
• Task Execution: Verifies that the swarm can execute tasks correctly
• CSV File Saving: Ensures that metadata is saved to a unique CSV file after a swarm run
• JSON Export: Confirms that metadata is properly exported to JSON format
• Agent Data Logging: Tests that agent data is logged as expected

Test Environment

Moving forward, all features and bug fixes will undergo improved quality assurance. This will involve:

• Running changes in a virtual environment where the repository is installed in -e (editable) mode
• Including relevant test programs where applicable to ensure correctness
• Testing features in isolation to confirm that each part of the codebase is functioning as expected before being integrated into the main branch

Conclusion

This pull request addresses the issues with datetime handling, file saving, and swarm metadata storage. The SpreadsheetSwarm was reintroduced with full functionality, including CSV saving, JSON export, and agent data logging, all of which were validated with a comprehensive unit test. The syntax error in main.py was also fixed, allowing for the smooth deployment of the API.

The change implemented further improves the reliability of swarms to its adopters, customers, and the community.

Maintainers:
@kyegomez
@jmikedupont2

X:
@patrickbdevaney

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📚 Documentation preview 📚: https://swarms--700.org.readthedocs.build/en/700/

[jmikedupont2]

did this not get flaged by the automatic checks like flake8 or pylint?