kubow/gooddata-pixelperfect-reports

creating pixel perfect reports using a template system

Creating pixel perfect reports

• Data are coming from GoodData's universal semantic layer.
• Desired parts are loaded into frames using pandas factory.
• All put together in HTML format and generated into PDF.

Disclaimer: libraries used to achieve this functionality are picked based on ease of use, if you prefer any other library feel free to consult with last chapter.

Installation

1. Prepare python virtual environment (or install system-wide = leave out this step)

python -m venv venv
source venv/bin/activate

2. Install dependent libraries

pip install gooddata-pandas  # access semantic layer
pip install plotly kaleido  # exporting visuals to PNG
pip install jinja2  # templating system for HTML
pip install weasyprint  # generate PDF from HTML

alternatively install from requirements file:

pip install -r requirements.txt

3. Generate the PDF report

python report.py

Options to consider

• Multiple visualization libraries options:
  • Plotly: Low-Code Data App Development
  • seaborn: statistical data visualization
  • Save Matplotlib Figure as SVG and PDF using Python - GeeksforGeeks
• HTML to PDF generation library (overview):
  • pyPDF
  • ReportLab
  • WeasyPrint (tool of choice)
• https://stackoverflow.com/questions/70384455/how-to-arrange-objects-in-rows-and-columns-and-export-in-svg