feat: Remove outdated testing documentation and add comprehensive development and feature guides
- Deleted `TESTING_SETUP.md` and `TEST_UPDATES_SUMMARY.md` as they were outdated. - Introduced `CHANGELOG.md` to document notable changes and version history. - Added `DEVELOPMENT.md` for detailed development setup, testing framework, and debugging guidance. - Created `FEATURES.md` to outline core features and functionalities of TheChart. - Established `README.md` as a centralized documentation index for users and developers.
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docs/DEVELOPMENT.md
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docs/DEVELOPMENT.md
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# TheChart - Development Documentation
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## Development Environment Setup
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### Prerequisites
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- **Python 3.13+**: Required for the application
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- **uv**: Fast Python package manager (10-100x faster than pip/Poetry)
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- **Git**: Version control
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### Quick Setup
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```bash
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# Clone and setup
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git clone <repository-url>
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cd thechart
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# Install with uv (recommended)
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make install
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# Or manual setup
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uv venv --python 3.13
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uv sync
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uv run pre-commit install --install-hooks --overwrite
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```
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### Environment Activation
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```bash
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# fish shell (default)
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source .venv/bin/activate.fish
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# or
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make shell
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# bash/zsh
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source .venv/bin/activate
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# Using uv run (recommended)
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uv run python src/main.py
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```
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## Testing Framework
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### Test Infrastructure
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Professional testing setup with comprehensive coverage and automation.
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#### Testing Tools
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- **pytest**: Modern Python testing framework
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- **pytest-cov**: Coverage reporting (HTML, XML, terminal)
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- **pytest-mock**: Mocking support for isolated testing
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- **coverage**: Detailed coverage analysis
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#### Test Statistics
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- **93% Overall Code Coverage** (482 total statements, 33 missed)
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- **112 Total Tests** across 6 test modules
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- **80 Tests Passing** (71.4% pass rate)
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#### Coverage by Module
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| Module | Coverage | Status |
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|--------|----------|--------|
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| constants.py | 100% | ✅ Complete |
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| logger.py | 100% | ✅ Complete |
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| graph_manager.py | 97% | ✅ Excellent |
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| init.py | 95% | ✅ Excellent |
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| ui_manager.py | 93% | ✅ Very Good |
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| main.py | 91% | ✅ Very Good |
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| data_manager.py | 87% | ✅ Good |
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### Test Structure
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#### Test Files
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- **`tests/test_data_manager.py`** (16 tests): CSV operations, validation, error handling
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- **`tests/test_graph_manager.py`** (14 tests): Matplotlib integration, dose calculations
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- **`tests/test_ui_manager.py`** (21 tests): Tkinter UI components, user interactions
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- **`tests/test_main.py`** (18 tests): Application integration, workflow testing
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- **`tests/test_constants.py`** (12 tests): Configuration validation
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- **`tests/test_logger.py`** (8 tests): Logging functionality
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- **`tests/test_init.py`** (23 tests): Initialization and setup
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#### Test Fixtures (`tests/conftest.py`)
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- **Temporary Files**: Safe testing without affecting real data
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- **Sample Data**: Comprehensive test datasets with realistic dose information
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- **Mock Loggers**: Isolated logging for testing
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- **Environment Mocking**: Controlled test environments
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### Running Tests
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#### Basic Testing
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```bash
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# Run all tests
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make test
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# or
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uv run pytest
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# Run specific test file
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uv run pytest tests/test_graph_manager.py -v
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# Run tests with specific pattern
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uv run pytest -k "dose_calculation" -v
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```
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#### Coverage Testing
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```bash
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# Generate coverage report
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uv run pytest --cov=src --cov-report=html
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# Coverage with specific module
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uv run pytest tests/test_graph_manager.py --cov=src.graph_manager --cov-report=term-missing
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```
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#### Continuous Testing
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```bash
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# Watch for changes and re-run tests
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uv run pytest --watch
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# Quick test runner script
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./scripts/run_tests.py
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```
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### Pre-commit Testing
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Automated testing prevents commits when core functionality is broken.
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#### Configuration
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Located in `.pre-commit-config.yaml`:
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- **Core Tests**: 3 essential tests run before each commit
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- **Fast Execution**: Only critical functionality tested
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- **Commit Blocking**: Prevents commits when tests fail
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#### Core Tests
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1. **`test_init`**: DataManager initialization
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2. **`test_initialize_csv_creates_file_with_headers`**: CSV file creation
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3. **`test_load_data_with_valid_data`**: Data loading functionality
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#### Usage
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```bash
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# Automatic on commit
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git commit -m "Your changes"
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# Manual pre-commit check
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pre-commit run --all-files
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# Run just test check
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pre-commit run pytest-check --all-files
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```
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### Dose Calculation Testing
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Comprehensive testing for the complex dose parsing and calculation system.
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#### Test Categories
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- **Standard Format**: `2025-07-28 18:59:45:150mg` → 150.0mg
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- **Multiple Doses**: `2025-07-28 18:59:45:150mg|2025-07-28 19:34:19:75mg` → 225.0mg
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- **With Symbols**: `• • • • 2025-07-30 07:50:00:300` → 300.0mg
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- **Decimal Values**: `2025-07-28 18:59:45:12.5mg|2025-07-28 19:34:19:7.5mg` → 20.0mg
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- **No Timestamps**: `100mg|50mg` → 150.0mg
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- **Mixed Formats**: `• 2025-07-30 22:50:00:10|75mg` → 85.0mg
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- **Edge Cases**: Empty strings, NaN values, malformed data → 0.0mg
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#### Test Implementation
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```python
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# Example test case
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def test_calculate_daily_dose_standard_format(self, graph_manager):
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dose_str = "2025-07-28 18:59:45:150mg|2025-07-28 19:34:19:75mg"
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result = graph_manager._calculate_daily_dose(dose_str)
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assert result == 225.0
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```
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### Medicine Plotting Tests
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Testing for the enhanced graph functionality with medicine dose visualization.
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#### Test Areas
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- **Toggle Functionality**: Medicine show/hide controls
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- **Dose Plotting**: Bar chart generation for medicine doses
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- **Color Coding**: Proper color assignment and consistency
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- **Legend Enhancement**: Multi-column layout and average calculations
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- **Data Integration**: Proper data flow from CSV to visualization
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### UI Testing Strategy
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Testing user interface components with mock frameworks to avoid GUI dependencies.
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#### UI Test Coverage
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- **Component Creation**: Widget creation and configuration
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- **Event Handling**: User interactions and callbacks
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- **Data Binding**: Variable synchronization and updates
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- **Layout Management**: Grid and frame arrangements
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- **Error Handling**: User input validation and error messages
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#### Mocking Strategy
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```python
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# Example UI test with mocking
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@patch('tkinter.Tk')
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def test_create_input_frame(self, mock_tk, ui_manager):
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parent = Mock()
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result = ui_manager.create_input_frame(parent, {}, {})
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assert result is not None
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assert isinstance(result, dict)
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```
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## Code Quality
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### Tools and Standards
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- **ruff**: Fast Python linter and formatter (Rust-based)
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- **pre-commit**: Git hook management for code quality
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- **Type Hints**: Comprehensive type annotations
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- **Docstrings**: Detailed function and class documentation
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### Code Formatting
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```bash
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# Format code
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make format
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# or
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uv run ruff format .
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# Check formatting
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make lint
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# or
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uv run ruff check .
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```
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### Pre-commit Hooks
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Automatically installed hooks ensure code quality:
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- **Code Formatting**: ruff formatting
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- **Linting Checks**: Code quality validation
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- **Import Sorting**: Consistent import organization
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- **Basic File Checks**: Trailing whitespace, file endings
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## Development Workflow
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### Feature Development
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1. **Create Feature Branch**: `git checkout -b feature/new-feature`
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2. **Implement Changes**: Follow existing patterns and architecture
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3. **Add Tests**: Ensure new functionality is tested
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4. **Run Tests**: `make test` to verify functionality
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5. **Code Quality**: `make format && make lint`
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6. **Commit Changes**: Pre-commit hooks run automatically
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7. **Create Pull Request**: For code review
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### Medicine System Development
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Adding new medicines or modifying the medicine system:
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```python
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# Example: Adding a new medicine programmatically
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from medicine_manager import MedicineManager, Medicine
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medicine_manager = MedicineManager()
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new_medicine = Medicine(
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key="sertraline",
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display_name="Sertraline",
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dosage_info="50mg",
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quick_doses=["25", "50", "100"],
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color="#9B59B6",
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default_enabled=False
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)
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medicine_manager.add_medicine(new_medicine)
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```
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### Testing New Features
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1. **Unit Tests**: Add tests for new functionality
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2. **Integration Tests**: Test feature integration with existing system
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3. **UI Tests**: Test user interface changes
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4. **Dose Calculation Tests**: If affecting dose calculations
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5. **Regression Tests**: Ensure existing functionality still works
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## Debugging and Troubleshooting
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### Logging
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Application logs are stored in `logs/` directory:
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- **`app.log`**: General application logs
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- **`app.error.log`**: Error messages only
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- **`app.warning.log`**: Warning messages only
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### Debug Mode
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Enable debug logging by modifying `src/logger.py` configuration.
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### Common Issues
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#### Test Failures
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- **Matplotlib Mocking**: Ensure proper matplotlib component mocking
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- **Tkinter Dependencies**: Use headless testing for UI components
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- **File Path Issues**: Use absolute paths in tests
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- **Mock Configuration**: Proper mock setup for external dependencies
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#### Development Environment
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- **Python Version**: Ensure Python 3.13+ is used
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- **Virtual Environment**: Always work within the virtual environment
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- **Dependencies**: Keep dependencies up to date with `uv sync --upgrade`
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### Performance Testing
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- **Dose Calculation Performance**: Test with large datasets
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- **UI Responsiveness**: Test with extensive medicine lists
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- **Memory Usage**: Monitor memory consumption with large CSV files
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- **Graph Rendering**: Test graph performance with large datasets
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## Architecture Documentation
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### Core Components
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- **MedTrackerApp**: Main application class
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- **MedicineManager**: Medicine CRUD operations
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- **PathologyManager**: Pathology/symptom management
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- **GraphManager**: Visualization and plotting
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- **UIManager**: User interface creation
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- **DataManager**: Data persistence and CSV operations
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### Data Flow
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1. **User Input** → UIManager → DataManager → CSV
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2. **Data Loading** → DataManager → pandas DataFrame → GraphManager
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3. **Visualization** → GraphManager → matplotlib → UI Display
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### Extension Points
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- **Medicine System**: Add new medicine properties
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- **Graph Types**: Add new visualization types
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- **Export Formats**: Add new data export options
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- **UI Components**: Add new interface elements
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## Deployment Testing
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### Standalone Executable
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```bash
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# Build executable
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make deploy
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# Test deployment
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./dist/thechart
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```
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### Docker Testing
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```bash
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# Build container
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make build
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# Test container
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make start
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make attach
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```
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### Cross-platform Testing
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- **Linux**: Primary development and testing platform
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- **macOS**: Planned support (testing needed)
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- **Windows**: Planned support (testing needed)
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---
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For user documentation, see [README.md](../README.md).
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For feature details, see [docs/FEATURES.md](FEATURES.md).
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