Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py #700

patrickbdevaney · 2024-12-23T04:48:29Z

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

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

Add TaskQueueSwarm documentation

…-Access-Issue Ensure tool execution regardless of long-term memory usage

- added asdict to turn things into json compatible output

- adding updated log methods to run

- make the run update for tools

- edit "run" return type with condition on how to return if output type is JSON .

- add newer methods to the log_step_metadata for logging

- update tool usage fn to add and account for tool usage metadata.

- minor refactor

- update correct libraries & dependencies .

- create class to execute modular unittests - def setup for modular setup - objective to keep setup minimal , so that tests aren't bloated and fast to run - Since most param have a set default , init of necessary condition is a valid and supportive op wrt test speed .

- Implemented test_log_step_metadata_basic to verify the correct logging of step metadata including step_id, timestamp, tokens, and memory usage. - Confirmed that the token counts for total are accurately logged.

- Implemented test_log_step_metadata_no_long_term_memory to ensure that when long-term memory is None, the memory_usage for long_term is an empty dictionary in the log result.

- Implemented test_log_step_metadata_timestamp to verify that a timestamp is included in the log result when logging step metadata.

- Implemented test_token_counting_integration to verify the correct total token count when using a mocked tokenizer, ensuring that prompt and response token counts are accurately aggregated.

- Implemented test_agent_output_updating to verify that logging step metadata correctly updates the total token count and ensures that the agent's output steps are properly tracked confirming only one step is recorded.

- apart of modular and small unittests , its time to put to test for larger and more wholesome integration test - an end to end test , to check if this change in code causes any breaks in flow and normal functioning .

- add main to make this run

- Update the docs to return describe changes - Add lines specific to how to toggle between output types .

…-0.5.1-and-lt-0.6.10 Update ruff requirement from >=0.5.1,<0.6.8 to >=0.5.1,<0.6.10

…extensions-approx-eq-10.11 Update pymdown-extensions requirement from ~=10.10 to ~=10.11

Corrected "continously" to "continuously" in [README.md]. This pull request addresses a minor typo found in repository. The typo has been corrected to improve clarity and maintain the quality of the documentation. This change is purely cosmetic and does not affect functionality.

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sambhavnoobcoder and others added 30 commits October 25, 2024 03:18

minor refactor

db821f0

style check

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changes

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mkdocs and and swarms.models fix

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Merge pull request kyegomez#608 from Occupying-Mars/basic-fix

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Add TaskQueueSwarm documentation

Merge pull request kyegomez#611 from sambhavnoobcoder/Longterm-Memory…

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…-Access-Issue Ensure tool execution regardless of long-term memory usage

Update README.md

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adding asdict

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- added asdict to turn things into json compatible output

add log methods to run

0d2d7fd

- adding updated log methods to run

add section for tools update

e8b8d48

- make the run update for tools

edit run return

8b552ba

- edit "run" return type with condition on how to return if output type is JSON .

update the log_step_metadata

68806eb

- add newer methods to the log_step_metadata for logging

Add Update_tool_usage

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- update tool usage fn to add and account for tool usage metadata.

minor refactor

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- minor refactor

Push libraries

92912b0

- update correct libraries & dependencies .

Add basic test for log_step_metadata method

4d300fc

- Implemented test_log_step_metadata_basic to verify the correct logging of step metadata including step_id, timestamp, tokens, and memory usage. - Confirmed that the token counts for total are accurately logged.

Add test for log_step_metadata with no long-term memory

672f3ee

- Implemented test_log_step_metadata_no_long_term_memory to ensure that when long-term memory is None, the memory_usage for long_term is an empty dictionary in the log result.

Add test for timestamp in log_step_metadata

e80d182

- Implemented test_log_step_metadata_timestamp to verify that a timestamp is included in the log result when logging step metadata.

Add integration test for token counting in log_step_metadata

8900d64

- Implemented test_token_counting_integration to verify the correct total token count when using a mocked tokenizer, ensuring that prompt and response token counts are accurately aggregated.

Add test for agent output updating in log_step_metadata

d72d2e7

- Implemented test_agent_output_updating to verify that logging step metadata correctly updates the total token count and ensures that the agent's output steps are properly tracked confirming only one step is recorded.

Integration test

67a8493

- apart of modular and small unittests , its time to put to test for larger and more wholesome integration test - an end to end test , to check if this change in code causes any breaks in flow and normal functioning .

adding main

a3ef450

- add main to make this run

Update Docs

ad38711

- Update the docs to return describe changes - Add lines specific to how to toggle between output types .

slight refactor

e100b46

[5.8.7]

4e588ed

Merge pull request kyegomez#595 from kyegomez/dependabot/pip/ruff-gte…

cca1807

…-0.5.1-and-lt-0.6.10 Update ruff requirement from >=0.5.1,<0.6.8 to >=0.5.1,<0.6.10

Merge pull request kyegomez#588 from kyegomez/dependabot/pip/pymdown-…

2387096

…extensions-approx-eq-10.11 Update pymdown-extensions requirement from ~=10.10 to ~=10.11

Reverting to puled agent.py with new changes

a63541c

kyegomez and others added 15 commits January 2, 2025 14:37

[MultiAgentRouter]

cd56932

[ENV.EXAMPLES]

a6d5f3c

[C SHARP]

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[C SHARP]

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[CLEANUP]

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{docs}

c74c433

NEW DOCS FOR NEW AGENTS ++ SWARMS]

478b056

[CLEANUP]

857099a

[CLEANUP]

6730883

[CLEANUP]

c439df4

reverting unrelated files in PR to align with upstream repo

9834600

fix commit

2ac0a9d

reverting unneeded commits

17e5cf7

Merge remote-tracking branch 'upstream/master'

69d95d2

Resolved merge conflicts

6c83be7

github-advanced-security bot found potential problems Jan 3, 2025

View reviewed changes

patrickbdevaney added 11 commits January 3, 2025 16:14

fixing github actions again

daefa90

fix github actions again

4a9e3c0

[CLEANUP]

ba14c5c

[CLEANUP]

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[CLEANUP]

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[CLEANUP]

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removed unrelated changes to PR

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Sandra-Amina-Boss approved these changes Jan 5, 2025

View reviewed changes

kyegomez closed this Jan 9, 2025

kyegomez force-pushed the master branch from afd5419 to 7de9ee8 Compare January 9, 2025 18:51

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Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py #700

Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py #700

patrickbdevaney commented Dec 23, 2024 •

edited by github-actions bot

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Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py #700

Hotfix using datetime.now().strftime() to format the time on spreadsheet_swarm.py #700

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patrickbdevaney commented Dec 23, 2024 • edited by github-actions bot Loading

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

Problem

Changes Made

1. Fix DateTime Handling in spreadsheet_swarm.py

2. Fix File Saving

3. Test File for spreadsheet_swarm.py

4. Fix to main.py

Files Changed

spreadsheet_swarm.py

test_spreadsheet_swarm.py

main.py

Testing

Unit Tests

Test Environment

Conclusion

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patrickbdevaney commented Dec 23, 2024 •

edited by github-actions bot

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