Skip to content

Latest commit

 

History

History
198 lines (132 loc) · 5.1 KB

README.rst

File metadata and controls

198 lines (132 loc) · 5.1 KB

django-pdf-generator v0.1.3 on PyPi MIT license Stable

django-pdf-generator

Convert HTML to pdf with django using phantomjs

Requirements

  • Python (2.7) (Need to be tested for 3.x)
  • Django (1.10, 1.9) (Need to be tested for previous versions)
  • PhantomJS

Installation

Install using pip :

pip install django_pdf_generator

Add pdf_generator to your INSTALLED_APPS setting.

INSTALLED_APPS = (
    ...
    'pdf_generator',
)

Add the pdf_generator urls below to your main urls.py

urlpatterns = [
...
url(r'^pdf-generator/', include('pdf_generator.urls', namespace='pdf_generator')),
...

Put phantomjs binary on your path or set the path manually in your settings using PHANTOMJS_BIN_PATH settings (see below).

Example

Generate a PDF with PDFGenerator class

Generate a pdf from an url

from pdf_generator.generators import PDFGenerator

pdf = PDFGenerator(url="https://github.com/charlesthk/django-pdf-generator",

Save it to the database using PdfDoc models :

pdf.save(
        filename='pdf_generator',
        title="pdf_generator on github",
        description="Convert HTML to pdf with django using phantomjs")

Get the PDF as a Django ContentFile named 'my_pdf_file.pdf' :

pdf_content_file = pdf.get_content_file('my_pdf_file')

# Return a Django HttpResponse with the PDF Attached named 'my_pdf_file.pdf':
return pdf.get_http_response('my_pdf_file')

Return a Django HttpResponse with the PDF Attached named 'my_pdf_file.pdf':

return pdf.get_http_response('my_pdf_file')

Generate a pdf just like Django render function :

urls.py

url(r'^invoice$', views.invoice, name='invoice'),

views.py

from pdf_generator.renderers import render_pdf

def invoice(request):
    """
    Render an invoice
    The invoice.pdf file is returned
    """
    return render_pdf('invoice', request, 'front/invoice.html')

Juste add ?html=1 to the url to view the HTML instead of getting the pdf file.

PDFGenerator options

The PDFGenerator class accepts the following arguments :

  • url [required]
  • paperformat [Required] default to 'A4', examples: "5in*7.5in", "10cm*20cm", "A4", "Letter"
  • zoom [Optional] default to 1.
  • script [Optional] default to DEFAULT_RASTERIZE_SCRIPT, defines which render script to use.
  • temp_dir [Optional] default to DEFAULT_TEMP_DIR, defines which temp dir to use.

Model used for saving PDF

When using save(filename, title='', description='') method of PDFGenerator, the following model is used:

class PdfDoc(models.Model):
    """
    Store each generated pdf
    """
    title = models.CharField(verbose_name=_("Title"), max_length=255, blank=True)
    description = models.TextField(verbose_name=_("Description"), blank=True)
    document = models.FileField(verbose_name=_("Document PDF"), upload_to=pdf_settings.UPLOAD_TO)
    created_at = models.DateTimeField(auto_now=False, auto_now_add=True, verbose_name=_('Creation'))
    updated_at = models.DateTimeField(auto_now=True, auto_now_add=False, verbose_name=_('Update'))

Settings

Add your settings to your main django settings file. The settings are set by default to :

PDF_GENERATOR = {
    'UPLOAD_TO': 'pdfs',
    'PHANTOMJS_BIN_PATH': 'phantomjs',
    'DEFAULT_RASTERIZE_SCRIPT': os.path.join(PDF_GENERATOR_DIR, 'rasterize.js'),
    'DEFAULT_TEMP_DIR': os.path.join(PDF_GENERATOR_DIR, 'temp'),
    'TEMPLATES_DIR': os.path.join(PDF_GENERATOR_DIR, 'templates/pdf_generator')
}

UPLOAD_TO

Define the directory or the function to be used when saving PDFs, default to pdfs.

PHANTOMJS_BIN_PATH

Define the path to Phantomjs binary, default to phantomjs.

DEFAULT_RASTERIZE_SCRIPT

Define which render_script to use by default, default to rasterize.js inside the package.

DEFAULT_TEMP_DIR

Define the directory to use for temporarily generated pdf by PhantomJS. default to pdf_temp.

TEMPLATES_DIR

Define the directory to use for temporarily generated HTML files by PhantomJS. default to pdf_temp.

Support

If you are having issues, please let us know or submit a pull request.

License

The project is licensed under the MIT License.