Agent farm converter #152
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Agent farm converter #152
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This commit expands the `agent_import.py` module to include detailed documentation on the agent import system, outlining its features and import modes. It also introduces validation checks in the `AgentImporter` class to ensure proper configuration settings, raising errors for invalid batch sizes, error handling modes, and import modes. Additionally, new tests are added to `test_agent_import.py` to cover scenarios involving agents with death times, missing optional fields, and error handling during imports, improving the robustness of the testing suite.
This commit expands the documentation in `converter/config.py` to provide a detailed overview of the configuration system for the AgentFarm to Memory System converter, including management features, usage examples, and validation rules. Additionally, it introduces a new test suite in `tests/converter/test_config_property.py` utilizing property-based testing with Hypothesis to ensure robust validation of configuration parameters. Minor formatting adjustments are also made in existing tests for consistency.
…nd features This commit expands the `db.py` module to include detailed documentation for the `DatabaseManager` class, outlining its functionalities such as connection pooling, session management, and schema validation. Key features are highlighted, including support for both file-based and in-memory SQLite databases, improved error handling, and logging. Additionally, the test suite in `test_db.py` is enhanced with new tests for database initialization, validation, and session management, ensuring robust coverage of the database functionalities.
…entation This commit updates the `mapping.py` module to include comprehensive documentation for the memory type mapping system, detailing its components and usage examples. It introduces enhanced validation logic to prevent duplicate memory types and checks for required fields with type validation in the `MemoryTypeMapper` class. Additionally, the test suite in `test_mapping.py` is expanded with new tests for edge cases, including empty mappings, case sensitivity, and validation of data types, ensuring robust coverage of the memory type mapping functionalities.
…nit tests This commit introduces the `memory_import.py` module, which provides functionality for importing and converting AgentFarm database records into a structured memory system. The module includes features such as memory validation, tiered organization, batch processing, and metadata extraction. Additionally, a new test suite in `test_memory_import.py` is added, covering various scenarios for the `MemoryImporter` class and its components, ensuring robust validation and error handling during the import process.
…d validation This commit introduces detailed documentation for the memory tiering strategies in the `tiering.py` module, outlining the available strategies and their usage. It adds validation logic in the `TieringContext` class to ensure proper parameter values, including checks for step numbers, current steps, total steps, and importance scores. Additionally, the test suite in `test_tiering.py` is expanded to cover various scenarios, including edge cases for context validation and metadata handling, ensuring robust testing of the tiering functionalities.
…se tests This commit expands the `converter.py` module to include detailed documentation outlining the functionality of the AgentFarm to Memory System converter, including key features and example usage. Additionally, it introduces a new test suite in `test_converter_edge_cases.py` to cover various edge cases, ensuring robust validation of the conversion process. Updates to the configuration tests in `test_config_property.py` include improved memory type mapping strategies and settings for property-based testing, enhancing overall test coverage and reliability.
…se tests This commit expands the `converter.py` module to include detailed documentation outlining the functionality of the AgentFarm to Memory System converter, including key features and example usage. Additionally, it introduces a new test suite in `test_converter_edge_cases.py` to cover various edge cases, ensuring robust validation of the conversion process. Updates to the configuration tests in `test_config_property.py` include improved memory type mapping strategies and settings for property-based testing, enhancing overall test coverage and reliability.
…ntMemory into agent-farm-converter
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Pull Request Overview
This pull request introduces major enhancements to the AgentFarm DB to Memory System converter. Key changes include comprehensive documentation updates across modules, stricter validation and improved error handling, and expanded test coverage for various edge cases.
Reviewed Changes
Copilot reviewed 16 out of 16 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| tests/converter/test_tiering.py | Added tests for memory tiering strategies and validation checks |
| tests/converter/test_memory_import.py | Extended unit tests for memory import functionality |
| tests/converter/test_mapping.py | Updated mapping validation and test scenarios |
| tests/converter/test_db.py | Enhanced session management and database schema validation |
| tests/converter/test_converter_edge_cases.py | Added tests for edge case handling of the converter module |
| tests/converter/test_config_property.py | Introduced property-based tests for configuration |
| tests/converter/test_config.py | Minor adjustment for config default values |
| tests/converter/test_agent_import.py | Expanded agent import tests, including death time and error scenarios |
| converter/tiering.py | Updated documentation and minor formatting adjustments |
| converter/memory_import.py | Improved module documentation and clarified import steps |
| converter/mapping.py | Enhanced mapping validation to detect duplicate memory types |
| converter/db.py | Updated connection logging and session error handling |
| converter/converter.py | Revised verification logic and documentation details |
| converter/config.py | Extended configuration documentation and validation details |
| converter/agent_import.py | Enhanced configuration checks and improved error handling in agent import |
Comments suppressed due to low confidence (2)
tests/converter/test_agent_import.py:121
- The temporary slicing that returns only the first agent should be removed so that the full list of imported agents is returned once the implementation is complete.
return agents[0:1] #! TODO: Remove this
converter/config.py:42
- The current validation for import_mode does not include 'selective', yet AgentImporter supports it; update the allowed import modes to include 'selective' for consistency.
if self.import_mode not in ["full", "incremental"]:
This commit modifies the agent name assignment in the `AgentImporter` class to always use a default format of "Agent-{agent_id}" instead of conditionally checking for a provided name. This change streamlines the code and ensures consistent naming for agents without optional fields.
This commit modifies the logging setup in `debug_converter.py` and `run_converter.py` to use a fixed log file path, ensuring consistent logging behavior. Additionally, it updates the memory samples in `agent_farm_memories.json`, changing memory types from "action" to "state" and adjusting associated properties to reflect new game mechanics, including position and resource levels.
This commit updates the assertions in `test_agent_import.py` and `test_converter.py` to reflect the new agent naming convention, ensuring that agent names are consistently formatted as "Agent-{agent_id}". Additionally, it modifies the test expectations to align with the current implementation, improving the accuracy of the tests.
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Pull Request Overview
This PR enhances the AgentFarm to Memory System converter by improving modularity, validation, and documentation across both production and test files. Key changes include comprehensive documentation updates, stricter configuration and mapping validations with detailed tests for edge cases and database connection handling, and improvements to error handling and logging consistency.
Reviewed Changes
Copilot reviewed 20 out of 20 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| tests/converter/* | Extended test coverage for tiering, memory import, mapping, DB, and config. |
| converter/* | Updated documentation, validation logic, type annotations, and error handling. |
| run_converter.py & debug_converter.py | Simplified log filename handling and logging configuration. |
Comments suppressed due to low confidence (3)
converter/agent_import.py:121
- The current slicing of the agents list is marked as a temporary measure (TODO). Replace it with returning the full list once the batch processing implementation is complete.
return agents[0:1] #! TODO: Remove this
converter/memory_import.py:187
- The function 'generate_memory_id' is used without being imported or defined. Please add the appropriate import statement or provide its definition to avoid runtime errors.
memory_id = generate_memory_id(memory_type, agent_id, step_number)
tests/converter/test_db.py:46
- [nitpick] Consider using public API methods or documented properties to verify engine pool configuration instead of relying on internal attributes for more robust tests.
assert db_manager._engine.pool.size() == 5
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This pull request enhances the AgentFarm to Memory System converter by improving its modularity, validation, and documentation. Key changes include adding detailed module-level documentation, introducing stricter validation for configurations and mappings, and enhancing error handling and logging. These updates aim to improve the reliability and maintainability of the converter.
Documentation Enhancements:
converter/agent_import.py,converter/config.py,converter/converter.py,converter/db.py, andconverter/mapping.py. These updates describe key features, usage examples, and supported functionalities. [1] [2] [3] [4] [5]Validation and Error Handling Improvements:
AgentImporter(e.g., batch size, error handling mode, and import mode). Invalid configurations now raise descriptiveValueErrorexceptions._validate_mappingmethod inMemoryTypeMappingto detect and prevent duplicate memory types, ensuring each memory type is unique.DatabaseManagerto raise aRuntimeErrorif the database connection is closed, and added validation for missing or empty tables. [1] [2] [3]Type Annotations and Code Quality:
converter/agent_import.py, improving code clarity and enabling better static analysis. [1] [2] [3] [4] [5] [6]converter/db.pyfor consistency. [1] [2] [3]Functional Updates:
from_agent_farmfunction by replacing memory count checks with a log statement confirming successful processing.These changes collectively improve the usability, robustness, and maintainability of the converter while ensuring better compliance with modern Python practices.