This is a wrapper for ReportLab which allows easy creation of PDF documents::
from io import BytesIO from pdfdocument.document import PDFDocument def say_hello(): f = BytesIO() pdf = PDFDocument(f) pdf.init_report() pdf.h1('Hello World') pdf.p('Creating PDFs made easy.') pdf.generate() return f.getvalue()
PDFDocument comes with two different PDF templates, letters and reports. The only difference is the layout of the first page: The letter has an additional frame for the address at the top and a smaller main content area.
Usage is as follows::
pdf.init_report() # Or: pdf.init_letter()
The letter generates default styles using 9 point fonts as base size, the report
uses 8 points. This can be changed by calling
There exists also a special type of report, the confidential report, the only differences being that the confidentiality is marked using a red cross at the top of the first page and a watermark in the background.
The call to
pdf.generate_style generates a set of predefined styles. (Yes
it does!) That includes the following styles; this list is neither exhaustive
nor a promise:
Most of the time you will not use those attributes directly, except in the case of tables. Convenience methods exist for almost all styles as described in the next chapter.
All content passed to the following methods is escaped by default. ReportLab
supports a HTML-like markup language, if you want to use it directly you'll
have to either use only
pdf.p_markup or resort to creating
pdfdocument.document.MarkupParagraph instances by hand.
Canvas methods work with the canvas directly, and not with Platypus objects. They are mostly useful inside stationery functions. You'll mostly use ReportLab's canvas methods directly, and only resort to the following methods for special cases.
PDFDocument has a few helpers for generating PDFs in Django views, most notably
from pdfdocument.utils import pdf_response def pdf_view(request): pdf, response = pdf_response('filename_without_extension') # ... more code pdf.generate() return response
The SVG support uses svglib by Dinu Gherman. It can be found on PyPI: http://pypi.python.org/pypi/svglib/