Feat: add export functionality with GUI for data and graphs

- Implemented ExportWindow class for exporting data and graphs in various formats (JSON, XML, PDF).
- Integrated ExportManager to handle export logic.
- Added export option in the main application menu.
- Enhanced user interface with data summary and export options.
- Included error handling and success messages for export operations.
- Updated dependencies in the lock file to include reportlab and lxml for PDF generation.

.gitignore

@@ -81,3 +81,4 @@ Thumbs.db
 .Trashes
 ehthumbs.db
 Thumbs.db
+integration_test_exports/

Makefile

@@ -1,5 +1,5 @@
 TARGET=thechart
-VERSION=1.7.5
+VERSION=1.8.5
 ROOT=/home/will
 ICON=chart-671.png
 SHELL=fish

README.md

@@ -15,6 +15,7 @@ make test
 
 ## 📚 Documentation
 - **[Features Guide](docs/FEATURES.md)** - Complete feature documentation
+- **[Export System](docs/EXPORT_SYSTEM.md)** - Data export functionality and formats
 - **[Development Guide](docs/DEVELOPMENT.md)** - Testing, development, and architecture
 - **[Changelog](docs/CHANGELOG.md)** - Version history and feature evolution
 - **[Quick Reference](#quick-reference)** - Common commands and shortcuts
@@ -226,6 +227,13 @@ On first run, the application will:
 - **Backward Compatibility**: Seamless upgrades without data loss
 - **Dynamic Columns**: Adapts to new medicines and pathologies
 
+### 📋 Data Export System
+- **Multiple Formats**: Export to JSON, XML, and PDF formats
+- **Comprehensive Reports**: PDF exports with optional graph visualization
+- **Metadata Inclusion**: Export includes date ranges, pathologies, and medicines
+- **User-Friendly Interface**: Easy access through File menu with format selection
+- **Data Portability**: Structured exports for analysis or backup purposes
+
 For complete feature documentation, see **[docs/FEATURES.md](docs/FEATURES.md)**.
 
 ## Development

docs/EXPORT_SYSTEM.md

@@ -0,0 +1,215 @@
+# TheChart Export System Documentation
+
+## Overview
+
+The TheChart application now includes a comprehensive data export system that allows users to export their medication tracking data and visualizations to multiple formats:
+
+- **JSON** - Structured data format with metadata
+- **XML** - Hierarchical data format
+- **PDF** - Formatted report with optional graph visualization
+
+## Features
+
+### Export Formats
+
+#### JSON Export
+- Exports all CSV data to structured JSON format
+- Includes metadata about the export (date, total entries, date range)
+- Lists all pathologies and medicines being tracked
+- Data is exported as an array of entry objects
+
+#### XML Export
+- Exports data to hierarchical XML format
+- Includes comprehensive metadata section
+- All entries are properly structured with XML tags
+- Column names are sanitized for valid XML element names
+
+#### PDF Export
+- Creates a formatted report document
+- Includes export metadata and summary information
+- Optional graph visualization inclusion
+- Data table with all entries
+- Proper pagination and styling
+- Notes are truncated for better table formatting
+
+### User Interface
+
+The export functionality is accessible through:
+1. **File Menu** - "Export Data..." option in the main menu bar
+2. **Export Window** - Modal dialog with export options
+3. **Format Selection** - Radio buttons for JSON, XML, or PDF
+4. **Graph Option** - Checkbox to include graph in PDF exports
+5. **File Dialog** - Standard save dialog for choosing export location
+
+### Export Manager Architecture
+
+The export system consists of three main components:
+
+#### ExportManager Class (`src/export_manager.py`)
+- Core export functionality
+- Handles data transformation and file generation
+- Integrates with existing data and graph managers
+- Supports all three export formats
+
+#### ExportWindow Class (`src/export_window.py`)
+- GUI interface for export operations
+- Modal dialog with export options
+- File save dialog integration
+- Progress feedback and error handling
+
+#### Integration in MedTrackerApp (`src/main.py`)
+- Export manager initialization
+- Menu integration
+- Seamless integration with existing managers
+
+## Technical Implementation
+
+### Dependencies Added
+- `reportlab` - PDF generation library
+- `lxml` - XML processing (added for future enhancements)
+- `charset-normalizer` - Character encoding support
+
+### Data Flow
+1. User selects export format and options
+2. ExportManager loads data from DataManager
+3. Data is transformed according to selected format
+4. Graph image is optionally generated for PDF
+5. Output file is created and saved
+6. User receives success/failure feedback
+
+### Error Handling
+- Graceful handling of missing data
+- File system error management
+- User-friendly error messages
+- Logging of export operations
+
+## Usage Examples
+
+### Basic Export Process
+1. Open TheChart application
+2. Go to File → Export Data...
+3. Select desired format (JSON/XML/PDF)
+4. For PDF: choose whether to include graph
+5. Click "Export..." button
+6. Choose save location and filename
+7. Confirm successful export
+
+### Export File Examples
+
+#### JSON Structure
+```json
+{
+  "metadata": {
+    "export_date": "2025-08-02T09:03:22.580489",
+    "total_entries": 32,
+    "date_range": {
+      "start": "07/02/2025",
+      "end": "08/02/2025"
+    },
+    "pathologies": ["depression", "anxiety", "sleep", "appetite"],
+    "medicines": ["bupropion", "hydroxyzine", "gabapentin", "propranolol", "quetiapine"]
+  },
+  "entries": [
+    {
+      "date": "07/02/2025",
+      "depression": 8,
+      "anxiety": 5,
+      "sleep": 3,
+      "appetite": 1,
+      "bupropion": 0,
+      "bupropion_doses": "",
+      "note": "Starting medication tracking"
+    }
+  ]
+}
+```
+
+#### XML Structure
+```xml
+<?xml version="1.0" encoding="UTF-8"?>
+<thechart_data>
+  <metadata>
+    <export_date>2025-08-02T09:03:22.613013</export_date>
+    <total_entries>32</total_entries>
+    <date_range>
+      <start>07/02/2025</start>
+      <end>08/02/2025</end>
+    </date_range>
+  </metadata>
+  <entries>
+    <entry>
+      <date>07/02/2025</date>
+      <depression>8</depression>
+      <anxiety>5</anxiety>
+      <note>Starting medication tracking</note>
+    </entry>
+  </entries>
+</thechart_data>
+```
+
+## Testing
+
+### Automated Tests
+- Export functionality is tested through `simple_export_test.py`
+- Creates sample exports in all three formats
+- Validates file creation and basic content structure
+
+### Manual Testing
+- GUI testing available through `test_export_gui.py`
+- Opens export window for interactive testing
+- Allows testing of all user interface components
+
+### Test Files Location
+Exported test files are created in the `test_exports/` directory:
+- `export.json` - JSON format export
+- `export.xml` - XML format export
+- `export.csv` - CSV format copy
+- `test_export.pdf` - PDF format with graph
+
+## File Locations
+
+### Source Files
+- `src/export_manager.py` - Core export functionality
+- `src/export_window.py` - GUI export interface
+
+### Test Files
+- `simple_export_test.py` - Basic export functionality test
+- `test_export_gui.py` - GUI testing interface
+- `scripts/test_export_functionality.py` - Comprehensive export tests
+
+### Dependencies
+- Added to `requirements.txt` and managed by `uv`
+- PDF generation requires `reportlab`
+- XML processing enhanced with `lxml`
+
+## Future Enhancements
+
+Potential improvements for the export system:
+1. **Additional Formats** - Excel, CSV with formatting
+2. **Export Filtering** - Date range selection, specific pathologies/medicines
+3. **Batch Exports** - Multiple formats at once
+4. **Email Integration** - Direct email export
+5. **Cloud Storage** - Export to cloud services
+6. **Export Scheduling** - Automated periodic exports
+7. **Advanced PDF Styling** - Charts, graphs, custom layouts
+
+## Troubleshooting
+
+### Common Issues
+1. **No Data to Export** - Ensure CSV file has entries before exporting
+2. **PDF Generation Fails** - Check ReportLab installation and permissions
+3. **File Save Errors** - Verify write permissions to selected directory
+4. **Large File Exports** - PDF exports may take longer for large datasets
+
+### Debugging
+- Check application logs for detailed error messages
+- Export operations are logged with DEBUG level information
+- File system errors are captured and reported to user
+
+## Integration Notes
+
+The export system integrates seamlessly with existing TheChart functionality:
+- Uses same data validation and loading mechanisms
+- Respects existing pathology and medicine configurations
+- Maintains data integrity and formatting consistency
+- Follows existing logging and error handling patterns

pyproject.toml

@@ -1,14 +1,16 @@
 [project]
 name = "thechart"
-version = "1.7.5"
+version = "1.8.5"
 description = "Chart to monitor your medication intake over time."
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
     "colorlog>=6.9.0",
     "dotenv>=0.9.9",
+    "lxml>=6.0.0",
     "matplotlib>=3.10.3",
     "pandas>=2.3.1",
+    "reportlab>=4.4.3",
     "tk>=0.1.0",
 ]
 

scripts/README.md

@@ -0,0 +1,61 @@
+# TheChart Scripts Directory
+
+This directory contains testing and utility scripts for TheChart application.
+
+## Scripts Overview
+
+### Testing Scripts
+
+#### `run_tests.py`
+Main test runner for the application.
+```bash
+cd /home/will/Code/thechart
+.venv/bin/python scripts/run_tests.py
+```
+
+#### `integration_test.py`
+Comprehensive integration test for the export system.
+- Tests all export formats (JSON, XML, PDF)
+- Validates data integrity and file creation
+- No GUI dependencies - safe for automated testing
+
+```bash
+cd /home/will/Code/thechart
+.venv/bin/python scripts/integration_test.py
+```
+
+### Feature Testing Scripts
+
+#### `test_note_saving.py`
+Tests note saving and retrieval functionality.
+- Validates note persistence in CSV files
+- Tests special characters and formatting
+
+#### `test_update_entry.py`
+Tests entry update functionality.
+- Validates data modification operations
+- Tests date validation and duplicate handling
+
+## Usage
+
+All scripts should be run from the project root directory:
+
+```bash
+cd /home/will/Code/thechart
+.venv/bin/python scripts/<script_name>.py
+```
+
+## Test Data
+
+- Integration tests create temporary export files in `integration_test_exports/` (auto-cleaned)
+- Test scripts use the main `thechart_data.csv` file unless specified otherwise
+- No test data is committed to the repository
+
+## Development
+
+When adding new scripts:
+1. Place them in this directory
+2. Use the standard shebang: `#!/usr/bin/env python3`
+3. Add proper docstrings and error handling
+4. Update this README with script documentation
+5. Follow the project's linting and formatting standards

scripts/integration_test.py

@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+"""
+Integration test for TheChart export system
+Tests the complete export workflow without GUI dependencies
+"""
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.insert(0, "src")
+
+from data_manager import DataManager
+from export_manager import ExportManager
+from init import logger
+from medicine_manager import MedicineManager
+from pathology_manager import PathologyManager
+
+
+class MockGraphManager:
+    """Mock graph manager for testing."""
+
+    def __init__(self):
+        self.fig = None
+
+
+def test_integration():
+    """Test complete export system integration."""
+    print("TheChart Export System Integration Test")
+    print("=" * 45)
+
+    # 1. Initialize all managers
+    print("\n1. Initializing managers...")
+    try:
+        medicine_manager = MedicineManager(logger=logger)
+        pathology_manager = PathologyManager(logger=logger)
+        data_manager = DataManager(
+            "thechart_data.csv", logger, medicine_manager, pathology_manager
+        )
+
+        # Mock graph manager (no GUI dependencies)
+        graph_manager = MockGraphManager()
+
+        export_manager = ExportManager(
+            data_manager, graph_manager, medicine_manager, pathology_manager, logger
+        )
+        print("   ✓ All managers initialized successfully")
+    except Exception as e:
+        print(f"   ✗ Manager initialization failed: {e}")
+        return False
+
+    # 2. Check data availability
+    print("\n2. Checking data availability...")
+    try:
+        export_info = export_manager.get_export_info()
+        print(f"   Total entries: {export_info['total_entries']}")
+        print(f"   Has data: {export_info['has_data']}")
+
+        if not export_info["has_data"]:
+            print("   ✗ No data available for export")
+            return False
+
+        print(
+            f"   Date range: {export_info['date_range']['start']} "
+            f"to {export_info['date_range']['end']}"
+        )
+        print(f"   Pathologies: {len(export_info['pathologies'])}")
+        print(f"   Medicines: {len(export_info['medicines'])}")
+        print("   ✓ Data is available for export")
+    except Exception as e:
+        print(f"   ✗ Data check failed: {e}")
+        return False
+
+    # 3. Test all export formats
+    export_dir = Path("integration_test_exports")
+    export_dir.mkdir(exist_ok=True)
+
+    formats_to_test = [
+        ("JSON", "integration_test.json", export_manager.export_data_to_json),
+        ("XML", "integration_test.xml", export_manager.export_data_to_xml),
+        (
+            "PDF",
+            "integration_test.pdf",
+            lambda path: export_manager.export_to_pdf(path, include_graph=False),
+        ),
+    ]
+
+    results = []
+
+    for format_name, filename, export_func in formats_to_test:
+        print(f"\n3.{len(results) + 1}. Testing {format_name} export...")
+        try:
+            file_path = export_dir / filename
+            success = export_func(str(file_path))
+
+            if success and file_path.exists():
+                file_size = file_path.stat().st_size
+                print(
+                    f"   ✓ {format_name} export successful: {filename} "
+                    f"({file_size} bytes)"
+                )
+                results.append(True)
+            else:
+                print(f"   ✗ {format_name} export failed")
+                results.append(False)
+
+        except Exception as e:
+            print(f"   ✗ {format_name} export error: {e}")
+            results.append(False)
+
+    # 4. Summary
+    print("\n4. Test Summary")
+    print(f"   Total tests: {len(results)}")
+    print(f"   Passed: {sum(results)}")
+    print(f"   Failed: {len(results) - sum(results)}")
+
+    if all(results):
+        print("   ✓ All export formats working correctly!")
+        print(f"   Check '{export_dir}' directory for exported files.")
+        return True
+    else:
+        print("   ✗ Some export formats failed")
+        return False
+
+
+if __name__ == "__main__":
+    success = test_integration()
+    sys.exit(0 if success else 1)

src/export_manager.py

@@ -0,0 +1,385 @@
+"""
+Export Manager for TheChart Application
+
+Handles exporting data and graphs to various formats:
+- CSV data to JSON, XML
+- Graphs to PDF (with data tables)
+"""
+
+import contextlib
+import json
+import logging
+import os
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+from xml.dom import minidom
+from xml.etree.ElementTree import Element, SubElement, tostring
+
+import pandas as pd
+from reportlab.lib import colors
+from reportlab.lib.pagesizes import A4
+from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
+from reportlab.lib.units import inch
+from reportlab.platypus import (
+    Image,
+    Paragraph,
+    SimpleDocTemplate,
+    Spacer,
+    Table,
+    TableStyle,
+)
+
+from data_manager import DataManager
+from graph_manager import GraphManager
+from medicine_manager import MedicineManager
+from pathology_manager import PathologyManager
+
+
+class ExportManager:
+    """Handle data and graph export operations."""
+
+    def __init__(
+        self,
+        data_manager: DataManager,
+        graph_manager: GraphManager,
+        medicine_manager: MedicineManager,
+        pathology_manager: PathologyManager,
+        logger: logging.Logger,
+    ) -> None:
+        self.data_manager = data_manager
+        self.graph_manager = graph_manager
+        self.medicine_manager = medicine_manager
+        self.pathology_manager = pathology_manager
+        self.logger = logger
+
+    def export_data_to_json(self, export_path: str) -> bool:
+        """Export CSV data to JSON format."""
+        try:
+            df = self.data_manager.load_data()
+            if df.empty:
+                self.logger.warning("No data to export")
+                return False
+
+            # Convert DataFrame to dictionary with better structure
+            export_data = {
+                "metadata": {
+                    "export_date": datetime.now().isoformat(),
+                    "total_entries": len(df),
+                    "date_range": {
+                        "start": df["date"].min() if not df.empty else None,
+                        "end": df["date"].max() if not df.empty else None,
+                    },
+                    "pathologies": list(self.pathology_manager.get_pathology_keys()),
+                    "medicines": list(self.medicine_manager.get_medicine_keys()),
+                },
+                "entries": df.to_dict(orient="records"),
+            }
+
+            with open(export_path, "w", encoding="utf-8") as f:
+                json.dump(export_data, f, indent=2, ensure_ascii=False)
+
+            self.logger.info(f"Data exported to JSON: {export_path}")
+            return True
+
+        except Exception as e:
+            self.logger.error(f"Error exporting to JSON: {str(e)}")
+            return False
+
+    def export_data_to_xml(self, export_path: str) -> bool:
+        """Export CSV data to XML format."""
+        try:
+            df = self.data_manager.load_data()
+            if df.empty:
+                self.logger.warning("No data to export")
+                return False
+
+            # Create root element
+            root = Element("thechart_data")
+
+            # Add metadata
+            metadata = SubElement(root, "metadata")
+            SubElement(metadata, "export_date").text = datetime.now().isoformat()
+            SubElement(metadata, "total_entries").text = str(len(df))
+
+            # Date range
+            date_range = SubElement(metadata, "date_range")
+            SubElement(date_range, "start").text = (
+                df["date"].min() if not df.empty else ""
+            )
+            SubElement(date_range, "end").text = (
+                df["date"].max() if not df.empty else ""
+            )
+
+            # Pathologies
+            pathologies = SubElement(metadata, "pathologies")
+            for pathology in self.pathology_manager.get_pathology_keys():
+                SubElement(pathologies, "pathology").text = pathology
+
+            # Medicines
+            medicines = SubElement(metadata, "medicines")
+            for medicine in self.medicine_manager.get_medicine_keys():
+                SubElement(medicines, "medicine").text = medicine
+
+            # Add entries
+            entries = SubElement(root, "entries")
+            for _, row in df.iterrows():
+                entry = SubElement(entries, "entry")
+                for column, value in row.items():
+                    elem = SubElement(entry, column.replace(" ", "_"))
+                    elem.text = str(value) if pd.notna(value) else ""
+
+            # Pretty print XML
+            rough_string = tostring(root, "utf-8")
+            reparsed = minidom.parseString(rough_string)
+            pretty_xml = reparsed.toprettyxml(indent="  ")
+
+            with open(export_path, "w", encoding="utf-8") as f:
+                f.write(pretty_xml)
+
+            self.logger.info(f"Data exported to XML: {export_path}")
+            return True
+
+        except Exception as e:
+            self.logger.error(f"Error exporting to XML: {str(e)}")
+            return False
+
+    def _save_graph_as_image(self, temp_dir: Path) -> str | None:
+        """Save current graph as temporary image for PDF inclusion."""
+        try:
+            # Check if graph manager exists
+            if self.graph_manager is None:
+                self.logger.warning("No graph manager available for export")
+                return None
+
+            # Check if graph manager and figure exist
+            if not hasattr(self.graph_manager, "fig") or self.graph_manager.fig is None:
+                self.logger.warning("No graph figure available for export")
+                return None
+
+            # Ensure graph is up to date with current data
+            df = self.data_manager.load_data()
+            if not df.empty:
+                self.graph_manager.update_graph(df)
+            else:
+                self.logger.warning("No data available to update graph for export")
+                return None
+
+            # Ensure temp directory exists
+            temp_dir.mkdir(parents=True, exist_ok=True)
+            temp_image_path = temp_dir / "graph.png"
+
+            # Save the current figure
+            self.graph_manager.fig.savefig(
+                str(temp_image_path),
+                dpi=150,
+                bbox_inches="tight",
+                facecolor="white",
+                edgecolor="none",
+            )
+
+            # Verify the file was actually created
+            if not temp_image_path.exists():
+                self.logger.error(
+                    f"Graph image file was not created: {temp_image_path}"
+                )
+                return None
+
+            self.logger.info(f"Graph image saved successfully: {temp_image_path}")
+            return str(temp_image_path)
+
+        except Exception as e:
+            self.logger.error(f"Error saving graph image: {str(e)}")
+            return None
+
+    def export_to_pdf(self, export_path: str, include_graph: bool = True) -> bool:
+        """Export data and optionally graph to PDF format."""
+        try:
+            df = self.data_manager.load_data()
+
+            # Create PDF document
+            doc = SimpleDocTemplate(
+                export_path,
+                pagesize=A4,
+                rightMargin=72,
+                leftMargin=72,
+                topMargin=72,
+                bottomMargin=18,
+            )
+
+            # Get styles
+            styles = getSampleStyleSheet()
+            title_style = ParagraphStyle(
+                "CustomTitle",
+                parent=styles["Heading1"],
+                fontSize=18,
+                spaceAfter=30,
+                textColor=colors.darkblue,
+            )
+
+            story = []
+
+            # Title
+            story.append(Paragraph("TheChart - Medication Tracker Export", title_style))
+            story.append(Spacer(1, 20))
+
+            # Export metadata
+            export_info = [
+                f"Export Date: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
+                f"Total Entries: {len(df) if not df.empty else 0}",
+            ]
+
+            if not df.empty:
+                export_info.extend(
+                    [
+                        f"Date Range: {df['date'].min()} to {df['date'].max()}",
+                        (
+                            "Pathologies: "
+                            + ", ".join(self.pathology_manager.get_pathology_keys())
+                        ),
+                        (
+                            "Medicines: "
+                            + ", ".join(self.medicine_manager.get_medicine_keys())
+                        ),
+                    ]
+                )
+
+            for info in export_info:
+                story.append(Paragraph(info, styles["Normal"]))
+
+            story.append(Spacer(1, 20))
+
+            # Include graph if requested and available
+            if include_graph:
+                temp_dir = Path(export_path).parent / "temp_export"
+
+                try:
+                    graph_path = self._save_graph_as_image(temp_dir)
+                    if graph_path and os.path.exists(graph_path):
+                        story.append(
+                            Paragraph("Data Visualization", styles["Heading2"])
+                        )
+                        story.append(Spacer(1, 10))
+
+                        # Add graph image
+                        img = Image(graph_path, width=6 * inch, height=3.6 * inch)
+                        story.append(img)
+                        story.append(Spacer(1, 20))
+
+                        # Clean up temp image
+                        os.remove(graph_path)
+                    else:
+                        # Graph not available, add a note instead
+                        story.append(
+                            Paragraph("Data Visualization", styles["Heading2"])
+                        )
+                        story.append(Spacer(1, 10))
+                        story.append(
+                            Paragraph(
+                                "Graph not available - no data to visualize or graph "
+                                "not generated yet.",
+                                styles["Normal"],
+                            )
+                        )
+                        story.append(Spacer(1, 20))
+
+                except Exception as e:
+                    self.logger.error(f"Error including graph in PDF: {str(e)}")
+                    # Add error note instead of failing completely
+                    story.append(Paragraph("Data Visualization", styles["Heading2"]))
+                    story.append(Spacer(1, 10))
+                    story.append(
+                        Paragraph(
+                            f"Graph could not be included: {str(e)}", styles["Normal"]
+                        )
+                    )
+                    story.append(Spacer(1, 20))
+
+                finally:
+                    # Clean up temp directory
+                    if temp_dir.exists():
+                        with contextlib.suppress(OSError):
+                            temp_dir.rmdir()
+
+            # Add data table if we have data
+            if not df.empty:
+                story.append(Paragraph("Data Table", styles["Heading2"]))
+                story.append(Spacer(1, 10))
+
+                # Prepare table data - limit columns for better PDF formatting
+                display_columns = ["date"]
+                for pathology_key in self.pathology_manager.get_pathology_keys():
+                    display_columns.append(pathology_key)
+                for medicine_key in self.medicine_manager.get_medicine_keys():
+                    display_columns.append(medicine_key)
+                display_columns.append("note")
+
+                # Filter dataframe to display columns that exist
+                available_columns = [
+                    col for col in display_columns if col in df.columns
+                ]
+                display_df = df[available_columns].copy()
+
+                # Truncate long notes for better table formatting
+                if "note" in display_df.columns:
+                    display_df["note"] = display_df["note"].apply(
+                        lambda x: (str(x)[:50] + "...") if len(str(x)) > 50 else str(x)
+                    )
+
+                # Convert to table data
+                table_data = [available_columns]  # Headers
+                for _, row in display_df.iterrows():
+                    table_data.append(
+                        [str(val) if pd.notna(val) else "" for val in row]
+                    )
+
+                # Create table with styling
+                table = Table(table_data, repeatRows=1)
+                table.setStyle(
+                    TableStyle(
+                        [
+                            ("BACKGROUND", (0, 0), (-1, 0), colors.grey),
+                            ("TEXTCOLOR", (0, 0), (-1, 0), colors.whitesmoke),
+                            ("ALIGN", (0, 0), (-1, -1), "CENTER"),
+                            ("FONTNAME", (0, 0), (-1, 0), "Helvetica-Bold"),
+                            ("FONTSIZE", (0, 0), (-1, 0), 10),
+                            ("BOTTOMPADDING", (0, 0), (-1, 0), 12),
+                            ("BACKGROUND", (0, 1), (-1, -1), colors.beige),
+                            ("FONTNAME", (0, 1), (-1, -1), "Helvetica"),
+                            ("FONTSIZE", (0, 1), (-1, -1), 8),
+                            ("GRID", (0, 0), (-1, -1), 1, colors.black),
+                            ("VALIGN", (0, 0), (-1, -1), "TOP"),
+                        ]
+                    )
+                )
+
+                story.append(table)
+            else:
+                story.append(
+                    Paragraph("No data available to export.", styles["Normal"])
+                )
+
+            # Build PDF
+            doc.build(story)
+
+            self.logger.info(f"Data exported to PDF: {export_path}")
+            return True
+
+        except Exception as e:
+            self.logger.error(f"Error exporting to PDF: {str(e)}")
+            return False
+
+    def get_export_info(self) -> dict[str, Any]:
+        """Get information about available data for export."""
+        df = self.data_manager.load_data()
+
+        return {
+            "total_entries": len(df) if not df.empty else 0,
+            "date_range": {
+                "start": df["date"].min() if not df.empty else None,
+                "end": df["date"].max() if not df.empty else None,
+            },
+            "pathologies": list(self.pathology_manager.get_pathology_keys()),
+            "medicines": list(self.medicine_manager.get_medicine_keys()),
+            "has_data": not df.empty,
+        }

src/export_window.py

@@ -0,0 +1,247 @@
+"""
+Export Window for TheChart Application
+
+Provides a GUI interface for exporting data and graphs to various formats.
+"""
+
+import tkinter as tk
+from pathlib import Path
+from tkinter import filedialog, messagebox, ttk
+
+from export_manager import ExportManager
+
+
+class ExportWindow:
+    """Export window for data and graph export functionality."""
+
+    def __init__(self, parent: tk.Tk, export_manager: ExportManager) -> None:
+        self.parent = parent
+        self.export_manager = export_manager
+
+        # Create the export window
+        self.window = tk.Toplevel(parent)
+        self.window.title("Export Data")
+        self.window.geometry("500x450")  # Made taller to ensure buttons are visible
+        self.window.resizable(False, False)
+
+        # Center the window
+        self._center_window()
+
+        # Make window modal
+        self.window.transient(parent)
+        self.window.grab_set()
+
+        # Setup the UI
+        self._setup_ui()
+
+    def _center_window(self) -> None:
+        """Center the export window on the parent window."""
+        self.window.update_idletasks()
+
+        # Get window dimensions
+        width = self.window.winfo_width()
+        height = self.window.winfo_height()
+
+        # Get parent window position and size
+        parent_x = self.parent.winfo_rootx()
+        parent_y = self.parent.winfo_rooty()
+        parent_width = self.parent.winfo_width()
+        parent_height = self.parent.winfo_height()
+
+        # Calculate position to center on parent
+        x = parent_x + (parent_width // 2) - (width // 2)
+        y = parent_y + (parent_height // 2) - (height // 2)
+
+        self.window.geometry(f"{width}x{height}+{x}+{y}")
+
+    def _setup_ui(self) -> None:
+        """Setup the export window UI."""
+        # Main frame
+        main_frame = ttk.Frame(self.window, padding="15")
+        main_frame.pack(fill=tk.BOTH, expand=True)
+
+        # Title
+        title_label = ttk.Label(
+            main_frame, text="Export Data & Graphs", font=("Arial", 14, "bold")
+        )
+        title_label.pack(pady=(0, 15))
+
+        # Create scrollable content area for the main content
+        content_frame = ttk.Frame(main_frame)
+        content_frame.pack(fill=tk.BOTH, expand=True)
+
+        # Export info section
+        self._create_info_section(content_frame)
+
+        # Export options section
+        self._create_options_section(content_frame)
+
+        # Buttons section - always at the bottom
+        self._create_buttons_section(main_frame)
+
+    def _create_info_section(self, parent: ttk.Frame) -> None:
+        """Create the data information section."""
+        info_frame = ttk.LabelFrame(parent, text="Data Summary", padding="10")
+        info_frame.pack(fill=tk.X, pady=(0, 20))
+
+        # Get export info
+        export_info = self.export_manager.get_export_info()
+
+        # Display information
+        if export_info["has_data"]:
+            info_text = f"""Total Entries: {export_info["total_entries"]}
+Date Range: {export_info["date_range"]["start"]} to {export_info["date_range"]["end"]}
+Pathologies: {", ".join(export_info["pathologies"])}
+Medicines: {", ".join(export_info["medicines"])}"""
+        else:
+            info_text = "No data available for export."
+
+        info_label = ttk.Label(info_frame, text=info_text, justify=tk.LEFT)
+        info_label.pack(anchor=tk.W)
+
+    def _create_options_section(self, parent: ttk.Frame) -> None:
+        """Create the export options section."""
+        options_frame = ttk.LabelFrame(parent, text="Export Options", padding="10")
+        options_frame.pack(fill=tk.X, pady=(0, 20))
+
+        # Include graph option (for PDF export)
+        self.include_graph_var = tk.BooleanVar(value=True)
+        graph_check = ttk.Checkbutton(
+            options_frame,
+            text="Include graph in PDF export",
+            variable=self.include_graph_var,
+        )
+        graph_check.pack(anchor=tk.W, pady=(0, 10))
+
+        # Format selection
+        format_label = ttk.Label(options_frame, text="Export Format:")
+        format_label.pack(anchor=tk.W)
+
+        self.format_var = tk.StringVar(value="JSON")
+        formats = ["JSON", "XML", "PDF"]
+
+        for fmt in formats:
+            radio = ttk.Radiobutton(
+                options_frame, text=fmt, variable=self.format_var, value=fmt
+            )
+            radio.pack(anchor=tk.W, padx=(20, 0))
+
+    def _create_buttons_section(self, parent: ttk.Frame) -> None:
+        """Create the buttons section."""
+        # Add a separator for visual clarity
+        separator = ttk.Separator(parent, orient="horizontal")
+        separator.pack(fill=tk.X, pady=(10, 10))
+
+        button_frame = ttk.Frame(parent)
+        button_frame.pack(fill=tk.X, pady=(0, 10))
+
+        # Export button with more prominent styling
+        export_btn = ttk.Button(
+            button_frame, text="Export...", command=self._handle_export
+        )
+        export_btn.pack(side=tk.LEFT, padx=(10, 10), pady=5)
+
+        # Cancel button
+        cancel_btn = ttk.Button(
+            button_frame, text="Cancel", command=self.window.destroy
+        )
+        cancel_btn.pack(side=tk.RIGHT, padx=(10, 10), pady=5)
+
+    def _handle_export(self) -> None:
+        """Handle the export button click."""
+        # Check if we have data to export
+        export_info = self.export_manager.get_export_info()
+        if not export_info["has_data"]:
+            messagebox.showwarning(
+                "No Data", "There is no data available to export.", parent=self.window
+            )
+            return
+
+        # Get selected format
+        selected_format = self.format_var.get()
+
+        # Define file types for dialog
+        file_types = {
+            "JSON": [("JSON files", "*.json"), ("All files", "*.*")],
+            "XML": [("XML files", "*.xml"), ("All files", "*.*")],
+            "PDF": [("PDF files", "*.pdf"), ("All files", "*.*")],
+        }
+
+        # Default filename
+        default_name = f"thechart_export.{selected_format.lower()}"
+
+        # Show save dialog
+        filename = filedialog.asksaveasfilename(
+            parent=self.window,
+            title=f"Export as {selected_format}",
+            defaultextension=f".{selected_format.lower()}",
+            filetypes=file_types[selected_format],
+            initialfile=default_name,
+        )
+
+        if not filename:
+            return
+
+        # Perform export based on selected format
+        success = False
+        try:
+            if selected_format == "JSON":
+                success = self.export_manager.export_data_to_json(filename)
+            elif selected_format == "XML":
+                success = self.export_manager.export_data_to_xml(filename)
+            elif selected_format == "PDF":
+                include_graph = self.include_graph_var.get()
+                success = self.export_manager.export_to_pdf(
+                    filename, include_graph=include_graph
+                )
+
+            if success:
+                messagebox.showinfo(
+                    "Export Successful",
+                    f"Data exported successfully to:\n{filename}",
+                    parent=self.window,
+                )
+                # Ask if user wants to open the file location
+                if messagebox.askyesno(
+                    "Open Location",
+                    "Would you like to open the file location?",
+                    parent=self.window,
+                ):
+                    self._open_file_location(filename)
+
+                self.window.destroy()
+            else:
+                messagebox.showerror(
+                    "Export Failed",
+                    f"Failed to export data as {selected_format}. "
+                    "Please check the logs for more details.",
+                    parent=self.window,
+                )
+
+        except Exception as e:
+            messagebox.showerror(
+                "Export Error",
+                f"An error occurred during export:\n{str(e)}",
+                parent=self.window,
+            )
+
+    def _open_file_location(self, filepath: str) -> None:
+        """Open the file location in the system file manager."""
+        try:
+            file_path = Path(filepath)
+            directory = file_path.parent
+
+            # Use system-specific command to open file manager
+            import subprocess
+            import sys
+
+            if sys.platform == "win32":
+                subprocess.run(["explorer", str(directory)], check=False)
+            elif sys.platform == "darwin":
+                subprocess.run(["open", str(directory)], check=False)
+            else:  # Linux and other Unix-like systems
+                subprocess.run(["xdg-open", str(directory)], check=False)
+
+        except Exception:
+            # If opening file location fails, just ignore silently
+            pass

src/main.py

@@ -9,6 +9,8 @@ import pandas as pd
 
 from constants import LOG_CLEAR, LOG_LEVEL, LOG_PATH
 from data_manager import DataManager
+from export_manager import ExportManager
+from export_window import ExportWindow
 from graph_manager import GraphManager
 from init import logger
 from medicine_management_window import MedicineManagementWindow
@@ -117,6 +119,15 @@ class MedTrackerApp:
             graph_frame, self.medicine_manager, self.pathology_manager
         )
 
+        # Initialize export manager
+        self.export_manager: ExportManager = ExportManager(
+            self.data_manager,
+            self.graph_manager,
+            self.medicine_manager,
+            self.pathology_manager,
+            logger,
+        )
+
         # --- Create Input Frame ---
         input_ui: dict[str, Any] = self.ui_manager.create_input_frame(main_frame)
         self.input_frame: ttk.Frame = input_ui["frame"]
@@ -152,6 +163,13 @@ class MedTrackerApp:
         menubar = tk.Menu(self.root)
         self.root.config(menu=menubar)
 
+        # File menu
+        file_menu = tk.Menu(menubar, tearoff=0)
+        menubar.add_cascade(label="File", menu=file_menu)
+        file_menu.add_command(label="Export Data...", command=self._open_export_window)
+        file_menu.add_separator()
+        file_menu.add_command(label="Exit", command=self.handle_window_closing)
+
         # Tools menu
         tools_menu = tk.Menu(menubar, tearoff=0)
         menubar.add_cascade(label="Tools", menu=tools_menu)
@@ -162,6 +180,10 @@ class MedTrackerApp:
             label="Manage Medicines...", command=self._open_medicine_manager
         )
 
+    def _open_export_window(self) -> None:
+        """Open the export window."""
+        ExportWindow(self.root, self.export_manager)
+
     def _open_pathology_manager(self) -> None:
         """Open the pathology management window."""
         PathologyManagementWindow(

uv.lock

@@ -20,6 +20,28 @@ wheels = [
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 ]
 
+[[package]]
+name = "charset-normalizer"
+version = "3.4.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e4/33/89c2ced2b67d1c2a61c19c6751aa8902d46ce3dacb23600a283619f5a12d/charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63", size = 126367, upload-time = "2025-05-02T08:34:42.01Z" }
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+    { url = "https://files.pythonhosted.org/packages/04/93/bf204e6f344c39d9937d3c13c8cd5bbfc266472e51fc8c07cb7f64fcd2de/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eba9904b0f38a143592d9fc0e19e2df0fa2e41c3c3745554761c5f6447eedabf", size = 143435, upload-time = "2025-05-02T08:32:58.551Z" },
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+    { url = "https://files.pythonhosted.org/packages/44/96/392abd49b094d30b91d9fbda6a69519e95802250b777841cf3bda8fe136c/charset_normalizer-3.4.2-cp313-cp313-win32.whl", hash = "sha256:aaeeb6a479c7667fbe1099af9617c83aaca22182d6cf8c53966491a0f1b7ffb7", size = 98064, upload-time = "2025-05-02T08:33:17.06Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/b0/0200da600134e001d91851ddc797809e2fe0ea72de90e09bec5a2fbdaccb/charset_normalizer-3.4.2-cp313-cp313-win_amd64.whl", hash = "sha256:aa6af9e7d59f9c12b33ae4e9450619cf2488e2bbe9b44030905877f0b2324980", size = 105641, upload-time = "2025-05-02T08:33:18.753Z" },
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+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -258,6 +280,30 @@ wheels = [
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+[[package]]
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+version = "6.0.0"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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 version = "0.12.5"
@@ -698,13 +757,15 @@ wheels = [
 
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-version = "1.7.5"
+version = "1.8.5"
 source = { virtual = "." }
 dependencies = [
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     { name = "dotenv" },
+    { name = "lxml" },
     { name = "matplotlib" },
     { name = "pandas" },
+    { name = "reportlab" },
     { name = "tk" },
 ]
 
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 requires-dist = [
     { name = "colorlog", specifier = ">=6.9.0" },
     { name = "dotenv", specifier = ">=0.9.9" },
+    { name = "lxml", specifier = ">=6.0.0" },
     { name = "matplotlib", specifier = ">=3.10.3" },
     { name = "pandas", specifier = ">=2.3.1" },
+    { name = "reportlab", specifier = ">=4.4.3" },
     { name = "tk", specifier = ">=0.1.0" },
 ]