Dev #153
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Dev #153
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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
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.
Agent farm converter
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Pull Request Overview
This PR enhances the AgentFarm DB to Memory System converter by improving documentation, strengthening validation, and expanding configurability and test coverage.
- Added extensive module- and function-level documentation across converter modules
- Introduced stricter validation in tiering, mapping, and importer classes
- Expanded unit tests for edge cases, error handling, and configuration scenarios
Reviewed Changes
Copilot reviewed 20 out of 20 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| converter/agent_import.py | Enforced import mode and error handling validations; cleaned up agent import logic |
| converter/config.py | Added comprehensive docstring and validation for all config fields |
| converter/converter.py | Simplified import verification logging; updated main conversion flow |
| converter/db.py | Standardized logging and session management; enhanced schema validation |
| converter/memory_import.py | Added documentation; extended memory import workflows and metadata extraction |
| converter/mapping.py | Expanded mapping validation to catch duplicates and invalid types |
| converter/tiering.py | Added docstrings and context validation; refactored tiering logic |
| run_converter.py | Simplified log file handling; standardized default paths |
| debug_converter.py | Simplified log file handling in debug script |
| tests/converter/test_tiering.py | Expanded tests for tiering strategies with edge-case validation |
| tests/converter/test_memory_import.py | Introduced fixtures and tests for memory importer error modes |
| tests/converter/test_mapping.py | Expanded mapping tests for duplicates, case sensitivity, and data validation |
| tests/converter/test_db.py | Added integration tests for initialization, validation, and session rollback |
| tests/converter/test_converter_edge_cases.py | Added large dataset, corrupted DB, and cleanup edge-case tests |
| tests/converter/test_converter.py | Updated import verification test to match simplified logic |
| tests/converter/test_config_property.py | Added Hypothesis-based property tests for configuration system |
| tests/converter/test_config.py | Minor formatting update to existing config tests |
| tests/converter/test_agent_import.py | Added tests for agent death time, missing fields, and batch errors |
Comments suppressed due to low confidence (3)
converter/memory_import.py:115
- The code references datetime.now() but datetime is not imported; add
from datetime import datetimeat the top to prevent NameError.
created_at=str(getattr(memory, "timestamp", None) or datetime.now()),
converter/tiering.py:103
- Division by zero can occur when total_steps is zero; add a guard to handle
total_steps == 0before computing relative_position.
relative_position = (context.current_step - context.step_number) / context.total_steps
converter/agent_import.py:168
- Existing agent name is discarded and always replaced with a generated string; consider using
getattr(agent, 'name', f"Agent-{agent.agent_id}")to preserve provided names.
name=f"Agent-{agent.agent_id}",
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This pull request introduces significant enhancements and improvements to the AgentFarm DB to Memory System converter, focusing on modularity, validation, and configurability. Key changes include the addition of detailed documentation, stricter validation mechanisms, improved error handling, and enhanced configuration and mapping systems.
Documentation Enhancements:
converter/agent_import.py,converter/config.py,converter/converter.py,converter/db.py, andconverter/mapping.py, detailing features, usage examples, and key components. This improves clarity for developers and users. [1] [2] [3] [4] [5]Validation and Error Handling:
ConverterConfigparameters (e.g., batch size, error handling mode, import mode) in theAgentImporterconstructor to ensure proper configuration.DatabaseManagerto check for missing tables and columns, with configurable error handling modes (fail,log,skip). [1] [2]MemoryTypeMappingto prevent inconsistent configurations.Type Annotations and Code Consistency:
converter/agent_import.py, improving code readability and enabling better static analysis. [1] [2] [3] [4] [5] [6]converter/db.pyfor consistency and readability. [1] [2] [3]Configuration System Improvements:
ConverterConfigto include validation for all configuration values, support for tiering strategies, and default values for all settings.MemoryTypeMappingsystem to validate required models, valid types, and unique memory type mappings. [1] [2]Simplified Logic:
from_agent_farm()and replaced it with a simpler logging mechanism.