Warrior_EA/DATABASE.md
AnimateDread 8157c42314 feat: Enhance README and documentation for Warrior_EA project
- Updated README.md with project overview, key features, directory structure, getting started guide, and modernization roadmap.
- Added AI_NETWORK.md detailing the neural network and AI/ML infrastructure, including architecture, components, usage patterns, and next steps.
- Introduced DATABASE.md for the Database module, outlining key components, design highlights, usage patterns, and future enhancements.
- Created README.md files for Enumerations, Expert, Money, Signals, Structures, System, Trailing, Variables directories, detailing their purpose, key components, and integration notes.
- Documented the Signals subsystem, emphasizing modularity, extensibility, and AI/ML readiness.
- Added comprehensive descriptions for individual signal modules in Signals/ directory.
- Established clear integration notes and recommendations for future improvements across all modules.
2026-04-20 19:28:34 -04:00

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# Database Module Documentation
## Overview
The Database module in Warrior_EA provides robust, fault-tolerant management of all persistent data required by the EA, including signal statistics, ranking, and versioning. It is designed for reliability, modularity, and ease of integration with the AI/ML and signal subsystems.
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## Key Components
### 1. DatabaseManager.mqh
- **CDatabaseManager**: Orchestrates all database operations, including initialization, version management, file system operations, and transactional safety. Integrates:
- CDatabaseConnectionManager: Handles opening/closing database connections and transaction state.
- CDatabaseVersionManager: Manages versioning and upgrades of the database schema/files.
- CDatabaseFileSystemManager: Handles directory and file operations with retry logic.
- CDatabaseOperationsManager: Executes SQL queries and manages prepared statements.
- **Design Notes**: Implements retry logic, version checks, and safe upgrades. Cleans or recreates directories as needed for version mismatches or training mode.
### 2. DatabaseConnectionManager.mqh
- **CDatabaseConnectionManager**: Manages the lifecycle of a database connection, including retries, transaction begin/commit/rollback, and verbose logging. Ensures only one open handle at a time and provides robust error handling.
### 3. DatabaseFileSystemManager.mqh
- **CDatabaseFileSystemManager**: Provides safe, retry-based wrappers for directory creation, cleaning, and file deletion. Ensures file system operations are robust against transient errors.
### 4. DatabaseOperations.mqh
- **CDatabaseOperations**: Encapsulates query execution, transaction management, and error handling for direct SQL operations. Ensures queries are finalized and transactions are safely committed or rolled back.
### 5. DatabaseOperationsManager.mqh
- **CDatabaseOperationsManager**: Higher-level manager for executing and retrying SQL queries, creating tables, and managing prepared statements. Integrates with the connection manager for handle management.
### 6. DatabaseVersionManager.mqh
- **CDatabaseVersionManager**: Handles reading and updating the database version file, with retry logic for file I/O. Ensures schema upgrades and version mismatches are handled safely.
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## Design Highlights
- **Fault Tolerance**: All file and database operations use retry loops and error logging to maximize reliability.
- **Transactional Safety**: Explicit transaction management with rollback on failure.
- **Versioning**: Database version is tracked and enforced, with automatic upgrades and directory cleaning as needed.
- **Separation of Concerns**: Each class has a clear, single responsibility, following SOLID principles.
- **Integration**: Designed to work seamlessly with the AI/ML and signal modules for persistent storage of model weights, statistics, and rankings.
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## Usage Patterns
- Initialize the database via `CDatabaseManager.Init()` with version and directory structure.
- Use connection and operations managers for all SQL and file operations.
- Always check return values for error handling and retries.
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## Next Steps
- Add unit tests for all database operations and error paths.
- Expand documentation for each SQL schema/table used.
- Continue with documentation of Enumerations/ next.
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*This documentation will be updated as additional files are analyzed and integrated.*