Feat: add export functionality with GUI for data and graphs
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Build and Push Docker Image / build-and-push (push) Has been cancelled
- 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.
This commit is contained in:
@@ -81,3 +81,4 @@ Thumbs.db
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.Trashes
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ehthumbs.db
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Thumbs.db
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integration_test_exports/
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@@ -1,5 +1,5 @@
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TARGET=thechart
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VERSION=1.7.5
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VERSION=1.8.5
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ROOT=/home/will
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ICON=chart-671.png
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SHELL=fish
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@@ -15,6 +15,7 @@ make test
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## 📚 Documentation
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- **[Features Guide](docs/FEATURES.md)** - Complete feature documentation
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- **[Export System](docs/EXPORT_SYSTEM.md)** - Data export functionality and formats
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- **[Development Guide](docs/DEVELOPMENT.md)** - Testing, development, and architecture
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- **[Changelog](docs/CHANGELOG.md)** - Version history and feature evolution
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- **[Quick Reference](#quick-reference)** - Common commands and shortcuts
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@@ -226,6 +227,13 @@ On first run, the application will:
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- **Backward Compatibility**: Seamless upgrades without data loss
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- **Dynamic Columns**: Adapts to new medicines and pathologies
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### 📋 Data Export System
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- **Multiple Formats**: Export to JSON, XML, and PDF formats
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- **Comprehensive Reports**: PDF exports with optional graph visualization
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- **Metadata Inclusion**: Export includes date ranges, pathologies, and medicines
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- **User-Friendly Interface**: Easy access through File menu with format selection
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- **Data Portability**: Structured exports for analysis or backup purposes
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For complete feature documentation, see **[docs/FEATURES.md](docs/FEATURES.md)**.
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## Development
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@@ -0,0 +1,215 @@
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# TheChart Export System Documentation
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## Overview
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The TheChart application now includes a comprehensive data export system that allows users to export their medication tracking data and visualizations to multiple formats:
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- **JSON** - Structured data format with metadata
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- **XML** - Hierarchical data format
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- **PDF** - Formatted report with optional graph visualization
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## Features
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### Export Formats
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#### JSON Export
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- Exports all CSV data to structured JSON format
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- Includes metadata about the export (date, total entries, date range)
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- Lists all pathologies and medicines being tracked
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- Data is exported as an array of entry objects
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#### XML Export
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- Exports data to hierarchical XML format
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- Includes comprehensive metadata section
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- All entries are properly structured with XML tags
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- Column names are sanitized for valid XML element names
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#### PDF Export
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- Creates a formatted report document
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- Includes export metadata and summary information
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- Optional graph visualization inclusion
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- Data table with all entries
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- Proper pagination and styling
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- Notes are truncated for better table formatting
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### User Interface
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The export functionality is accessible through:
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1. **File Menu** - "Export Data..." option in the main menu bar
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2. **Export Window** - Modal dialog with export options
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3. **Format Selection** - Radio buttons for JSON, XML, or PDF
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4. **Graph Option** - Checkbox to include graph in PDF exports
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5. **File Dialog** - Standard save dialog for choosing export location
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### Export Manager Architecture
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The export system consists of three main components:
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#### ExportManager Class (`src/export_manager.py`)
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- Core export functionality
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- Handles data transformation and file generation
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- Integrates with existing data and graph managers
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- Supports all three export formats
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#### ExportWindow Class (`src/export_window.py`)
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- GUI interface for export operations
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- Modal dialog with export options
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- File save dialog integration
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- Progress feedback and error handling
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#### Integration in MedTrackerApp (`src/main.py`)
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- Export manager initialization
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- Menu integration
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- Seamless integration with existing managers
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## Technical Implementation
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### Dependencies Added
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- `reportlab` - PDF generation library
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- `lxml` - XML processing (added for future enhancements)
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- `charset-normalizer` - Character encoding support
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### Data Flow
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1. User selects export format and options
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2. ExportManager loads data from DataManager
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3. Data is transformed according to selected format
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4. Graph image is optionally generated for PDF
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5. Output file is created and saved
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6. User receives success/failure feedback
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### Error Handling
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- Graceful handling of missing data
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- File system error management
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- User-friendly error messages
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- Logging of export operations
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## Usage Examples
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### Basic Export Process
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1. Open TheChart application
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2. Go to File → Export Data...
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3. Select desired format (JSON/XML/PDF)
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4. For PDF: choose whether to include graph
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5. Click "Export..." button
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6. Choose save location and filename
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7. Confirm successful export
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### Export File Examples
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#### JSON Structure
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```json
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{
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"metadata": {
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"export_date": "2025-08-02T09:03:22.580489",
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"total_entries": 32,
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"date_range": {
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"start": "07/02/2025",
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"end": "08/02/2025"
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},
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"pathologies": ["depression", "anxiety", "sleep", "appetite"],
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"medicines": ["bupropion", "hydroxyzine", "gabapentin", "propranolol", "quetiapine"]
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},
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"entries": [
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{
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"date": "07/02/2025",
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"depression": 8,
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"anxiety": 5,
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"sleep": 3,
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"appetite": 1,
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"bupropion": 0,
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"bupropion_doses": "",
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"note": "Starting medication tracking"
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}
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]
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}
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```
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#### XML Structure
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```xml
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<?xml version="1.0" encoding="UTF-8"?>
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<thechart_data>
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<metadata>
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<export_date>2025-08-02T09:03:22.613013</export_date>
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<total_entries>32</total_entries>
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<date_range>
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<start>07/02/2025</start>
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<end>08/02/2025</end>
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</date_range>
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</metadata>
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<entries>
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<entry>
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<date>07/02/2025</date>
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<depression>8</depression>
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<anxiety>5</anxiety>
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<note>Starting medication tracking</note>
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</entry>
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</entries>
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</thechart_data>
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```
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## Testing
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### Automated Tests
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- Export functionality is tested through `simple_export_test.py`
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- Creates sample exports in all three formats
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- Validates file creation and basic content structure
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### Manual Testing
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- GUI testing available through `test_export_gui.py`
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- Opens export window for interactive testing
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- Allows testing of all user interface components
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### Test Files Location
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Exported test files are created in the `test_exports/` directory:
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- `export.json` - JSON format export
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- `export.xml` - XML format export
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- `export.csv` - CSV format copy
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- `test_export.pdf` - PDF format with graph
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## File Locations
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### Source Files
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- `src/export_manager.py` - Core export functionality
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- `src/export_window.py` - GUI export interface
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### Test Files
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- `simple_export_test.py` - Basic export functionality test
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- `test_export_gui.py` - GUI testing interface
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- `scripts/test_export_functionality.py` - Comprehensive export tests
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### Dependencies
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- Added to `requirements.txt` and managed by `uv`
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- PDF generation requires `reportlab`
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- XML processing enhanced with `lxml`
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## Future Enhancements
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Potential improvements for the export system:
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1. **Additional Formats** - Excel, CSV with formatting
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2. **Export Filtering** - Date range selection, specific pathologies/medicines
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3. **Batch Exports** - Multiple formats at once
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4. **Email Integration** - Direct email export
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5. **Cloud Storage** - Export to cloud services
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6. **Export Scheduling** - Automated periodic exports
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7. **Advanced PDF Styling** - Charts, graphs, custom layouts
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## Troubleshooting
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### Common Issues
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1. **No Data to Export** - Ensure CSV file has entries before exporting
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2. **PDF Generation Fails** - Check ReportLab installation and permissions
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3. **File Save Errors** - Verify write permissions to selected directory
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4. **Large File Exports** - PDF exports may take longer for large datasets
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### Debugging
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- Check application logs for detailed error messages
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- Export operations are logged with DEBUG level information
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- File system errors are captured and reported to user
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## Integration Notes
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The export system integrates seamlessly with existing TheChart functionality:
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- Uses same data validation and loading mechanisms
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- Respects existing pathology and medicine configurations
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- Maintains data integrity and formatting consistency
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- Follows existing logging and error handling patterns
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+3
-1
@@ -1,14 +1,16 @@
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[project]
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name = "thechart"
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version = "1.7.5"
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version = "1.8.5"
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description = "Chart to monitor your medication intake over time."
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"colorlog>=6.9.0",
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"dotenv>=0.9.9",
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"lxml>=6.0.0",
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"matplotlib>=3.10.3",
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"pandas>=2.3.1",
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"reportlab>=4.4.3",
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"tk>=0.1.0",
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]
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@@ -0,0 +1,61 @@
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# TheChart Scripts Directory
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This directory contains testing and utility scripts for TheChart application.
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## Scripts Overview
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### Testing Scripts
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#### `run_tests.py`
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Main test runner for the application.
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```bash
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cd /home/will/Code/thechart
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.venv/bin/python scripts/run_tests.py
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```
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#### `integration_test.py`
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Comprehensive integration test for the export system.
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- Tests all export formats (JSON, XML, PDF)
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- Validates data integrity and file creation
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- No GUI dependencies - safe for automated testing
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```bash
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cd /home/will/Code/thechart
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.venv/bin/python scripts/integration_test.py
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```
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### Feature Testing Scripts
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#### `test_note_saving.py`
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Tests note saving and retrieval functionality.
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- Validates note persistence in CSV files
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- Tests special characters and formatting
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#### `test_update_entry.py`
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Tests entry update functionality.
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- Validates data modification operations
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- Tests date validation and duplicate handling
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## Usage
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All scripts should be run from the project root directory:
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```bash
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cd /home/will/Code/thechart
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.venv/bin/python scripts/<script_name>.py
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```
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## Test Data
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- Integration tests create temporary export files in `integration_test_exports/` (auto-cleaned)
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- Test scripts use the main `thechart_data.csv` file unless specified otherwise
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- No test data is committed to the repository
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## Development
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When adding new scripts:
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1. Place them in this directory
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2. Use the standard shebang: `#!/usr/bin/env python3`
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3. Add proper docstrings and error handling
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4. Update this README with script documentation
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5. Follow the project's linting and formatting standards
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@@ -0,0 +1,128 @@
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#!/usr/bin/env python3
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"""
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Integration test for TheChart export system
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Tests the complete export workflow without GUI dependencies
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"""
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import sys
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from pathlib import Path
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# Add src to path
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sys.path.insert(0, "src")
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from data_manager import DataManager
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from export_manager import ExportManager
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from init import logger
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from medicine_manager import MedicineManager
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from pathology_manager import PathologyManager
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class MockGraphManager:
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"""Mock graph manager for testing."""
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def __init__(self):
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self.fig = None
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def test_integration():
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"""Test complete export system integration."""
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print("TheChart Export System Integration Test")
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print("=" * 45)
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# 1. Initialize all managers
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print("\n1. Initializing managers...")
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try:
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medicine_manager = MedicineManager(logger=logger)
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pathology_manager = PathologyManager(logger=logger)
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data_manager = DataManager(
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"thechart_data.csv", logger, medicine_manager, pathology_manager
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)
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# Mock graph manager (no GUI dependencies)
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graph_manager = MockGraphManager()
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export_manager = ExportManager(
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data_manager, graph_manager, medicine_manager, pathology_manager, logger
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)
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print(" ✓ All managers initialized successfully")
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except Exception as e:
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print(f" ✗ Manager initialization failed: {e}")
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return False
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# 2. Check data availability
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print("\n2. Checking data availability...")
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try:
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export_info = export_manager.get_export_info()
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print(f" Total entries: {export_info['total_entries']}")
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print(f" Has data: {export_info['has_data']}")
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if not export_info["has_data"]:
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print(" ✗ No data available for export")
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return False
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print(
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f" Date range: {export_info['date_range']['start']} "
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f"to {export_info['date_range']['end']}"
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)
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print(f" Pathologies: {len(export_info['pathologies'])}")
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print(f" Medicines: {len(export_info['medicines'])}")
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print(" ✓ Data is available for export")
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except Exception as e:
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print(f" ✗ Data check failed: {e}")
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return False
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# 3. Test all export formats
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export_dir = Path("integration_test_exports")
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export_dir.mkdir(exist_ok=True)
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formats_to_test = [
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("JSON", "integration_test.json", export_manager.export_data_to_json),
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("XML", "integration_test.xml", export_manager.export_data_to_xml),
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(
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"PDF",
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"integration_test.pdf",
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lambda path: export_manager.export_to_pdf(path, include_graph=False),
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),
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]
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results = []
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for format_name, filename, export_func in formats_to_test:
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print(f"\n3.{len(results) + 1}. Testing {format_name} export...")
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try:
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file_path = export_dir / filename
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success = export_func(str(file_path))
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if success and file_path.exists():
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file_size = file_path.stat().st_size
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print(
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f" ✓ {format_name} export successful: {filename} "
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f"({file_size} bytes)"
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)
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results.append(True)
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else:
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print(f" ✗ {format_name} export failed")
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results.append(False)
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except Exception as e:
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print(f" ✗ {format_name} export error: {e}")
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results.append(False)
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# 4. Summary
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print("\n4. Test Summary")
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print(f" Total tests: {len(results)}")
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print(f" Passed: {sum(results)}")
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print(f" Failed: {len(results) - sum(results)}")
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if all(results):
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print(" ✓ All export formats working correctly!")
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print(f" Check '{export_dir}' directory for exported files.")
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return True
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else:
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print(" ✗ Some export formats failed")
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return False
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if __name__ == "__main__":
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success = test_integration()
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sys.exit(0 if success else 1)
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@@ -0,0 +1,385 @@
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"""
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Export Manager for TheChart Application
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Handles exporting data and graphs to various formats:
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- CSV data to JSON, XML
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- Graphs to PDF (with data tables)
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"""
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import contextlib
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import json
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import logging
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import os
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from datetime import datetime
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from pathlib import Path
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from typing import Any
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from xml.dom import minidom
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from xml.etree.ElementTree import Element, SubElement, tostring
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import pandas as pd
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from reportlab.lib import colors
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from reportlab.lib.pagesizes import A4
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from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
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from reportlab.lib.units import inch
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from reportlab.platypus import (
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Image,
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Paragraph,
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SimpleDocTemplate,
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Spacer,
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Table,
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TableStyle,
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)
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from data_manager import DataManager
|
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from graph_manager import GraphManager
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from medicine_manager import MedicineManager
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from pathology_manager import PathologyManager
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class ExportManager:
|
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"""Handle data and graph export operations."""
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def __init__(
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self,
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data_manager: DataManager,
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graph_manager: GraphManager,
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medicine_manager: MedicineManager,
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pathology_manager: PathologyManager,
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logger: logging.Logger,
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) -> None:
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self.data_manager = data_manager
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self.graph_manager = graph_manager
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self.medicine_manager = medicine_manager
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self.pathology_manager = pathology_manager
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self.logger = logger
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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,
|
||||
}
|
||||
@@ -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
|
||||
+22
@@ -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(
|
||||
|
||||
@@ -20,6 +20,28 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c5/55/51844dd50c4fc7a33b653bfaba4c2456f06955289ca770a5dbd5fd267374/cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9", size = 7249, upload-time = "2023-08-12T20:38:16.269Z" },
|
||||
]
|
||||
|
||||
[[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" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ea/12/a93df3366ed32db1d907d7593a94f1fe6293903e3e92967bebd6950ed12c/charset_normalizer-3.4.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:926ca93accd5d36ccdabd803392ddc3e03e6d4cd1cf17deff3b989ab8e9dbcf0", size = 199622, upload-time = "2025-05-02T08:32:56.363Z" },
|
||||
{ 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" },
|
||||
{ url = "https://files.pythonhosted.org/packages/22/2a/ea8a2095b0bafa6c5b5a55ffdc2f924455233ee7b91c69b7edfcc9e02284/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3fddb7e2c84ac87ac3a947cb4e66d143ca5863ef48e4a5ecb83bd48619e4634e", size = 153653, upload-time = "2025-05-02T08:33:00.342Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b6/57/1b090ff183d13cef485dfbe272e2fe57622a76694061353c59da52c9a659/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:98f862da73774290f251b9df8d11161b6cf25b599a66baf087c1ffe340e9bfd1", size = 146231, upload-time = "2025-05-02T08:33:02.081Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/28/ffc026b26f441fc67bd21ab7f03b313ab3fe46714a14b516f931abe1a2d8/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c9379d65defcab82d07b2a9dfbfc2e95bc8fe0ebb1b176a3190230a3ef0e07c", size = 148243, upload-time = "2025-05-02T08:33:04.063Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/0f/9abe9bd191629c33e69e47c6ef45ef99773320e9ad8e9cb08b8ab4a8d4cb/charset_normalizer-3.4.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e635b87f01ebc977342e2697d05b56632f5f879a4f15955dfe8cef2448b51691", size = 150442, upload-time = "2025-05-02T08:33:06.418Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/67/7c/a123bbcedca91d5916c056407f89a7f5e8fdfce12ba825d7d6b9954a1a3c/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1c95a1e2902a8b722868587c0e1184ad5c55631de5afc0eb96bc4b0d738092c0", size = 145147, upload-time = "2025-05-02T08:33:08.183Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ec/fe/1ac556fa4899d967b83e9893788e86b6af4d83e4726511eaaad035e36595/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ef8de666d6179b009dce7bcb2ad4c4a779f113f12caf8dc77f0162c29d20490b", size = 153057, upload-time = "2025-05-02T08:33:09.986Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/2b/ff/acfc0b0a70b19e3e54febdd5301a98b72fa07635e56f24f60502e954c461/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:32fc0341d72e0f73f80acb0a2c94216bd704f4f0bce10aedea38f30502b271ff", size = 156454, upload-time = "2025-05-02T08:33:11.814Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/92/08/95b458ce9c740d0645feb0e96cea1f5ec946ea9c580a94adfe0b617f3573/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:289200a18fa698949d2b39c671c2cc7a24d44096784e76614899a7ccf2574b7b", size = 154174, upload-time = "2025-05-02T08:33:13.707Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/78/be/8392efc43487ac051eee6c36d5fbd63032d78f7728cb37aebcc98191f1ff/charset_normalizer-3.4.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4a476b06fbcf359ad25d34a057b7219281286ae2477cc5ff5e3f70a246971148", size = 149166, upload-time = "2025-05-02T08:33:15.458Z" },
|
||||
{ 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" },
|
||||
{ url = "https://files.pythonhosted.org/packages/20/94/c5790835a017658cbfabd07f3bfb549140c3ac458cfc196323996b10095a/charset_normalizer-3.4.2-py3-none-any.whl", hash = "sha256:7f56930ab0abd1c45cd15be65cc741c28b1c9a34876ce8c17a2fa107810c0af0", size = 52626, upload-time = "2025-05-02T08:34:40.053Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
@@ -258,6 +280,30 @@ wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/4c/fa/be89a49c640930180657482a74970cdcf6f7072c8d2471e1babe17a222dc/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:be4816dc51c8a471749d664161b434912eee82f2ea66bd7628bd14583a833e85", size = 2349213, upload-time = "2024-12-24T18:30:40.019Z" },
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||||
]
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||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "6.0.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c5/ed/60eb6fa2923602fba988d9ca7c5cdbd7cf25faa795162ed538b527a35411/lxml-6.0.0.tar.gz", hash = "sha256:032e65120339d44cdc3efc326c9f660f5f7205f3a535c1fdbf898b29ea01fb72", size = 4096938, upload-time = "2025-06-26T16:28:19.373Z" }
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||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/79/21/6e7c060822a3c954ff085e5e1b94b4a25757c06529eac91e550f3f5cd8b8/lxml-6.0.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6da7cd4f405fd7db56e51e96bff0865b9853ae70df0e6720624049da76bde2da", size = 8414372, upload-time = "2025-06-26T16:26:39.079Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/a4/f6/051b1607a459db670fc3a244fa4f06f101a8adf86cda263d1a56b3a4f9d5/lxml-6.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b34339898bb556a2351a1830f88f751679f343eabf9cf05841c95b165152c9e7", size = 4593940, upload-time = "2025-06-26T16:26:41.891Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/8e/74/dd595d92a40bda3c687d70d4487b2c7eff93fd63b568acd64fedd2ba00fe/lxml-6.0.0-cp313-cp313-manylinux2010_i686.manylinux2014_i686.manylinux_2_12_i686.manylinux_2_17_i686.whl", hash = "sha256:51a5e4c61a4541bd1cd3ba74766d0c9b6c12d6a1a4964ef60026832aac8e79b3", size = 5214329, upload-time = "2025-06-26T16:26:44.669Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/52/46/3572761efc1bd45fcafb44a63b3b0feeb5b3f0066886821e94b0254f9253/lxml-6.0.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d18a25b19ca7307045581b18b3ec9ead2b1db5ccd8719c291f0cd0a5cec6cb81", size = 4947559, upload-time = "2025-06-28T18:47:31.091Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/94/8a/5e40de920e67c4f2eef9151097deb9b52d86c95762d8ee238134aff2125d/lxml-6.0.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d4f0c66df4386b75d2ab1e20a489f30dc7fd9a06a896d64980541506086be1f1", size = 5102143, upload-time = "2025-06-28T18:47:33.612Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/7c/4b/20555bdd75d57945bdabfbc45fdb1a36a1a0ff9eae4653e951b2b79c9209/lxml-6.0.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9f4b481b6cc3a897adb4279216695150bbe7a44c03daba3c894f49d2037e0a24", size = 5021931, upload-time = "2025-06-26T16:26:47.503Z" },
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||||
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||||
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|
||||
{ url = "https://files.pythonhosted.org/packages/f4/87/6456b9541d186ee7d4cb53bf1b9a0d7f3b1068532676940fdd594ac90865/lxml-6.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:2f34687222b78fff795feeb799a7d44eca2477c3d9d3a46ce17d51a4f383e32e", size = 4013132, upload-time = "2025-06-26T16:27:06.415Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/42/85b3aa8f06ca0d24962f8100f001828e1f1f1a38c954c16e71154ed7d53a/lxml-6.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:21db1ec5525780fd07251636eb5f7acb84003e9382c72c18c542a87c416ade03", size = 3672642, upload-time = "2025-06-26T16:27:09.888Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "macholib"
|
||||
version = "1.16.3"
|
||||
@@ -653,6 +699,19 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446, upload-time = "2024-08-06T20:33:04.33Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "reportlab"
|
||||
version = "4.4.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "charset-normalizer" },
|
||||
{ name = "pillow" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/2f/83/3d44b873fa71ddc7d323c577fe4cfb61e05b34d14e64b6a232f9cfbff89d/reportlab-4.4.3.tar.gz", hash = "sha256:073b0975dab69536acd3251858e6b0524ed3e087e71f1d0d1895acb50acf9c7b", size = 3887532, upload-time = "2025-07-23T11:18:23.799Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/52/c8/aaf4e08679e7b1dc896ad30de0d0527f0fd55582c2e6deee4f2cc899bf9f/reportlab-4.4.3-py3-none-any.whl", hash = "sha256:df905dc5ec5ddaae91fc9cb3371af863311271d555236410954961c5ee6ee1b5", size = 1953896, upload-time = "2025-07-23T11:18:20.572Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.12.5"
|
||||
@@ -698,13 +757,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "thechart"
|
||||
version = "1.7.5"
|
||||
version = "1.8.5"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "colorlog" },
|
||||
{ name = "dotenv" },
|
||||
{ name = "lxml" },
|
||||
{ name = "matplotlib" },
|
||||
{ name = "pandas" },
|
||||
{ name = "reportlab" },
|
||||
{ name = "tk" },
|
||||
]
|
||||
|
||||
@@ -723,8 +784,10 @@ dev = [
|
||||
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" },
|
||||
]
|
||||
|
||||
|
||||
Reference in New Issue
Block a user