Agent farm converter

[csmangum]

This pull request includes several updates to improve code readability, functionality, and maintainability in the converter module and related files. Key changes include reformatting for consistency, adding a utility function for memory ID generation, and improving error handling and logging.

Code readability and consistency improvements:

• Reformatted dictionary definitions, function calls, and string literals to adhere to consistent coding standards, such as using double quotes for strings and aligning multiline structures. (converter/config.py [1] [2]; converter/memory_import.py [3] [4]

Functional improvements:

• Introduced a utility function generate_memory_id to standardize and simplify memory ID generation across models. (converter/memory_import.py [1] memory/agent_memory.py [2]
• Updated the database initialization logic to properly handle in-memory SQLite databases. (converter/db.py converter/db.pyR66-R73)

Error handling and logging enhancements:

• Improved logging for SQL queries, memory import progress, and error handling to provide more detailed and structured information. (converter/memory_import.py [1] [2]
• Enhanced validation for required fields (e.g., agent_id and step_number) in memory import logic, ensuring robust error detection. (converter/memory_import.py converter/memory_import.pyL320-R340)

Miscellaneous updates:

• Adjusted import statements for better organization and to remove unused imports. (converter/config.py [1] converter/memory_import.py [2]
• Updated string formatting in debug_converter.py for consistency. (debug_converter.py debug_converter.pyR77-R81)

[Copilot]

Pull Request Overview

This PR improves the readability, functionality, and maintainability of the Agent Farm converter by reformatting code and updating key modules.

• Improved import organization and string formatting in configuration and test files
• Added new tests and utility functions, and enhanced error handling and database initialization

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated no comments.

File	Description
tests/converter/test_config.py	Updated imports and string formatting to improve consistency
tests/converter/test_agent_import.py	Added comprehensive tests for agent import, batch processing, and error handling
converter/db.py	Enhanced SQLite in-memory database handling
converter/config.py	Reformatted configuration and default settings for clarity

Comments suppressed due to low confidence (1)

tests/converter/test_agent_import.py:259

• The batch processing test asserts that only one agent is returned, even though multiple agents are created. Verify whether this behavior is intended or update the test to reflect the full batch processing of agents.

len(agents) == 1