128 lines
4.0 KiB
Markdown
128 lines
4.0 KiB
Markdown
# Version 0.1.0 - Project Foundation Complete ✅
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## Summary
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The project foundation for ICT ML Trading System v0.1.0 has been successfully created according to the project structure guide.
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## What Was Created
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### ✅ Directory Structure
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- Complete directory tree matching the project structure
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- All required subdirectories for data, models, logs, tests, etc.
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- `.gitkeep` files in empty directories
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### ✅ Project Files
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- `.gitignore` - Comprehensive ignore patterns
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- `requirements.txt` - Production dependencies
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- `requirements-dev.txt` - Development dependencies
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- `setup.py` - Package installation configuration
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- `pyproject.toml` - Modern Python project configuration
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- `Makefile` - Common commands automation
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- `README.md` - Project documentation
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- `.pre-commit-config.yaml` - Pre-commit hooks
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- `CHANGELOG.md` - Version history
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- `LICENSE` - MIT License
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### ✅ Configuration Files
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- `config/config.yaml` - Main application configuration
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- `config/logging.yaml` - Logging setup with JSON and console formatters
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- `config/detectors.yaml` - Pattern detector parameters
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- `config/models.yaml` - ML model hyperparameters
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- `config/trading.yaml` - Trading strategy parameters
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- `config/alerts.yaml` - Alert system configuration
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- `config/database.yaml` - Database connection settings
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### ✅ Core Infrastructure
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- `src/core/constants.py` - Application-wide constants
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- `src/core/enums.py` - Enumerations (PatternType, Grade, SetupType, etc.)
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- `src/core/exceptions.py` - Custom exception hierarchy (7 exception classes)
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- `src/core/base_classes.py` - Abstract base classes (BaseDetector, BaseModel, BaseFeatureEngineering)
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### ✅ Logging System
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- `src/logging/logger.py` - Logger setup and configuration
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- `src/logging/formatters.py` - JSON, Detailed, and Colored formatters
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- `src/logging/handlers.py` - Rotating file handlers and error handlers
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- `src/logging/filters.py` - Sensitive data filter and rate limit filter
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- `src/logging/decorators.py` - @log_execution, @log_exceptions, @log_performance
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### ✅ Configuration Management
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- `src/config/config_loader.py` - Load and merge YAML configs with env vars
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- `src/config/settings.py` - Pydantic dataclasses for type-safe config
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- `src/config/validators.py` - Configuration validation logic
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### ✅ Test Suite
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- `tests/conftest.py` - Pytest fixtures and configuration
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- `tests/unit/test_core/test_exceptions.py` - Exception tests
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- `tests/unit/test_logging/test_logger.py` - Logger tests
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- `tests/unit/test_config/test_config_loader.py` - Config loader tests
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### ✅ Utility Scripts
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- `scripts/validate_setup.py` - Setup validation script
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## Next Steps
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### 1. Initialize Git Repository (if not done)
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```bash
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git init
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git add .
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git commit -m "feat(v0.1.0): project foundation with logging and config"
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git tag v0.1.0
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```
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### 2. Set Up Virtual Environment
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```bash
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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```
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### 3. Install Dependencies
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```bash
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make install-dev
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# Or manually:
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pip install -r requirements-dev.txt
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```
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### 4. Create .env File
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```bash
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cp .env.example .env
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# Edit .env with your configuration
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```
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### 5. Validate Setup
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```bash
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python scripts/validate_setup.py
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```
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### 6. Run Tests
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```bash
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make test
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# Or:
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pytest tests/ -v
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```
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## Validation Checklist
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- [x] All directories created
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- [x] All configuration files created
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- [x] Core infrastructure implemented
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- [x] Logging system implemented
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- [x] Configuration management implemented
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- [x] Initial test suite created
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- [x] No linting errors
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- [ ] Git repository initialized (user needs to do this)
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- [ ] Dependencies installed (user needs to do this)
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- [ ] Tests passing (user needs to verify)
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## Notes
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- The logging system uses a singleton pattern to avoid reconfiguration
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- Configuration supports environment variable substitution (${VAR} or ${VAR:-default})
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- All exceptions include error codes and context for better debugging
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- Logging automatically redacts sensitive data (API keys, passwords, etc.)
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- Tests use pytest fixtures for clean test isolation
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## Ready for v0.2.0
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The foundation is complete and ready for the next version: **v0.2.0 - Data Pipeline**
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