RH-Report

RH-Report is a lightweight tool for generating one-page PDF reports.

The report includes multiple modules:

• Text
• Demographics
• Tables
• Plots

To install this library

pip install git+https://github.com/CAAI/rh-report.git

Dependencies

RH report uses:

Tool	Aim
numpy	calculation
matplotlib	visualisations

Example

import requests
from io import BytesIO
from datetime import date
from rhreport import RHReport

# Initialise report
report = RHReport()

# Define useful metrics
pagewidth = (1-report.margin[3]-report.margin[1])

# Set title and subtitle
report.set_title(ypos = (1-report.margin[0]), title = 'AIMS', subtitle = 'Multiple Sclerosis Lesion Evaluation')

# Set Demographics
report.set_demographics(pos = [report.margin[3], 0.895, pagewidth, 0.04],
    fields = {
        'Patient Name': 'John Doe',
        'Patient ID': '1234567890',
        'Sex': 'M',
        'Age': '70',
        'Study Date': '1970.01.01'
    }
)

# Logo Rigshospitalet
url = r'https://www.regionh.dk/til-fagfolk/Om-Region-H/regionens-design/logo-og-grundelementer/logo-til-print-og-web/PublishingImages/Logo_Rigshospitalet_png.png'
r = requests.get(url)
pngfile = BytesIO(r.content)

report.set_footer(
    data = {
        'left': {
            'type': 'img',
            'src': pngfile,
        },
        'center': {
            'type': 'text',
            'content': f'AIMS: v. 1.0\nReport created at: {date.today()}',
            'color': (0.6,0.6,0.6),
            'fontsize': 6,
        },
        'right' :{
            'type': 'text',
            'content' : 'Rigshospitalet\nDEPICT\nAfdeling for Klinisk Fysiologi og Nuklearmedicin\nBlegdamsvej 9, 2100 København Ø',
            'fontsize': 6,
        }
    }
)

# Store report to PDF file
report.save('rhreport.pdf')