- Added functionality to generate VO2 Max and Heart Rate Zones tables in the context_generator.py.
- Integrated graph_generator to create table images with specified data and styles.
- Updated report_generator.py to pass graph_generator to context generation.
- Introduced a new method in graph_generator.py to generate table images with customizable options.
- Created test scripts for Page 5 (RMR and NEAT calculations) and Page 6 (Meal Plan calculations) using actual patient data.
- Updated Jupyter notebook metadata for better environment identification.
- Deleted the old body fat percentage chart image.
- Updated report generation to load the new body fat percentage master chart for improved accuracy and consistency.
- Refactored context generation to reference the new chart in the report structure.
- Added body fat percentage input and optional muscle oxygenation CSV upload in the upload form.
- Implemented TSI chart generation based on muscle oxygenation data.
- Updated report generation to include metabolism and fuel source charts.
- Refactored context generation to eliminate reliance on SECA data, using patient info directly instead.
- Improved error handling and logging for graph generation processes.
- Enhanced HTML templates for better user experience and functionality.
- Created base template with navigation and layout structure
- Implemented upload.html for patient data and file uploads
- Developed edit.html for editing calculated metrics
- Added preview.html for displaying generated report previews
- Enhanced user experience with Tailwind CSS styling
- Generated bytecode for report_generator.py and spirometry_table_extractor.py
- These changes include the compiled .pyc files in the __pycache__ directory
- The report generator service handles the generation of medical reports from uploaded files
- The spirometry table extractor service extracts data from PDF files and processes it for further analysis
- Added ReportGeneratorService to handle generation of medical reports from uploaded files.
- Implemented methods for processing Pnoe CSV data, generating graphs, and calculating analysis metrics.
- Integrated Jinja2 for HTML report generation with customizable templates.
- Added functionality to convert HTML content to PDF using Playwright.
- Ensured proper directory structure for saving generated graphs and reports.
bolade