feat(v0.1.0): project foundation with logging and config

V0.1.0_SETUP_COMPLETE.md

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