Metadata-Version: 2.1
Name: python-pdf
Version: 0.40
Summary: PDF generation in python using wkhtmltopdf suitable for heroku
Home-page: https://github.com/tutorcruncher/pydf
Author: Samuel Colvin
Author-email: s@muelcolvin.com
License: MIT
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Internet :: WWW/HTTP
License-File: LICENSE

pydf
====


|BuildStatus| |codecov| |PyPI| |license| |docker|

PDF generation in python using
`wkhtmltopdf <http://wkhtmltopdf.org/>`__.

Wkhtmltopdf binaries are precompiled and included in the package making
pydf easier to use, in particular this means pydf works on heroku.

Currently using **wkhtmltopdf 0.12.6.1 r3 for Ubuntu 22.04 (jammy)**, requires **Python 3.6+**.

**If you're not on Linux amd64:** pydf comes bundled with a wkhtmltopdf binary which will only work on Linux amd64
architectures. If you're on another OS or architecture your mileage may vary, it is likely that you'll need to supply
your own wkhtmltopdf binary and point pydf towards it by setting the ``WKHTMLTOPDF_PATH`` environment variable.

Install
-------

.. code:: shell

    pip install python-pdf

Basic Usage
-----------

.. code:: python

    import pydf
    pdf = pydf.generate_pdf('<h1>this is html</h1>')
    with open('test_doc.pdf', 'wb') as f:
        f.write(pdf)

Async Usage
-----------

Generation of lots of documents with wkhtmltopdf can be slow as wkhtmltopdf can only generate one document
per process. To get round this pydf uses python 3's asyncio ``create_subprocess_exec`` to generate multiple pdfs
at the same time. Thus the time taken to spin up processes doesn't slow you down.

.. code:: python

    from pathlib import Path
    from pydf import AsyncPydf

    async def generate_async():
        apydf = AsyncPydf()

        async def gen(i):
            pdf_content = await apydf.generate_pdf('<h1>this is html</h1>')
            Path(f'output_{i:03}.pdf').write_bytes(pdf_content)

        coros = [gen(i) for i in range(50)]
        await asyncio.gather(*coros)

    loop = asyncio.get_event_loop()
    loop.run_until_complete(generate_async())


See `benchmarks/run.py <https://github.com/tutorcruncher/pydf/blob/master/benchmark/run.py>`__
for a full example.

Locally generating an entire invoice goes from 0.372s/pdf to 0.035s/pdf with the async model.

Docker
------

pydf is available as a docker image with a very simple http API for generating pdfs.

Simple ``POST`` (or ``GET`` with data if possible) you HTML data to ``/generate.pdf``.

Arguments can be passed using http headers; any header starting ``pdf-`` or ``pdf_`` will
have that prefix removed, be converted to lower case and passed to wkhtmltopdf.

For example:

.. code:: shell

   docker run -rm -p 8000:80 -d samuelcolvin/pydf
   curl -d '<h1>this is html</h1>' -H "pdf-orientation: landscape" http://localhost:8000/generate.pdf > created.pdf
   open "created.pdf"

In docker compose:

.. code:: yaml

   services:
     pdf:
       image: samuelcolvin/pydf

Other services can then generate PDFs by making requests to ``pdf/generate.pdf``. Pretty cool.

API
---

**generate\_pdf(source, [\*\*kwargs])**

Generate a pdf from either a url or a html string.

After the html and url arguments all other arguments are passed straight
to wkhtmltopdf

For details on extra arguments see the output of get\_help() and
get\_extended\_help()

All arguments whether specified or caught with extra\_kwargs are
converted to command line args with ``'--' + original_name.replace('_', '-')``.

Arguments which are True are passed with no value eg. just --quiet,
False and None arguments are missed, everything else is passed with
str(value).

**Arguments:**

-  ``source``: html string to generate pdf from or url to get
-  ``quiet``: bool
-  ``grayscale``: bool
-  ``lowquality``: bool
-  ``margin_bottom``: string eg. 10mm
-  ``margin_left``: string eg. 10mm
-  ``margin_right``: string eg. 10mm
-  ``margin_top``: string eg. 10mm
-  ``orientation``: Portrait or Landscape
-  ``page_height``: string eg. 10mm
-  ``page_width``: string eg. 10mm
-  ``page_size``: string: A4, Letter, etc.
-  ``image_dpi``: int default 600
-  ``image_quality``: int default 94
-  ``extra_kwargs``: any exotic extra options for wkhtmltopdf

Returns string representing pdf

**get\_version()**

Get version of pydf and wkhtmltopdf binary

**get\_help()**

get help string from wkhtmltopdf binary uses -h command line option

**get\_extended\_help()**

get extended help string from wkhtmltopdf binary uses -H command line
option

**execute\_wk(\*args)**

Low level function to call wkhtmltopdf, arguments are added to
wkhtmltopdf binary and passed to subprocess with not processing.

.. |BuildStatus| image:: https://travis-ci.org/tutorcruncher/pydf.svg?branch=master
   :target: https://travis-ci.org/tutorcruncher/pydf
.. |codecov| image:: https://codecov.io/github/tutorcruncher/pydf/coverage.svg?branch=master
   :target: https://codecov.io/github/tutorcruncher/pydf?branch=master
.. |PyPI| image:: https://img.shields.io/pypi/v/python-pdf.svg?style=flat
   :target: https://pypi.python.org/pypi/python-pdf
.. |license| image:: https://img.shields.io/pypi/l/python-pdf.svg
   :target: https://github.com/tutorcruncher/pydf
.. |docker| image:: https://img.shields.io/docker/automated/samuelcolvin/pydf.svg
   :target: https://hub.docker.com/r/samuelcolvin/pydf/


Heroku
-------

If you are deploying onto Heroku, then you will need to install a couple of dependencies before WKHTMLTOPDF will work.

Add the Heroku buildpack `https://buildpack-registry.s3.amazonaws.com/buildpacks/heroku-community/apt.tgz`

Then create an `Aptfile` in your root directory with the dependencies:

.. code::shell
  libjpeg62
  libc6
