The release of PDF-GENERATOR with API integration at Vivify Healthcare is part of the company’s research and development efforts to find the best technology stack that is both sustainable and affordable.
The company is constantly looking for ways to improve its offerings and stay ahead of the curve in the highly competitive healthcare industry. By utilizing the leading and open-source platform for transforming; how people / organizations get benefited by using pdf generator python via HTML and CSS.
Vivify Healthcare aims to deliver a top-notch user experience while keeping costs low and maintaining stability, security and compliance. PDF-GENERATOR using python and API provides a flexible, scalable solution that can be easily adapted to meet the changing needs of the business and its customers.
What is PDFKIT? PDF Generator Python using pdfkit
It is a python library that can be used to generate PDF documents from HTML content easily and with automated flow control such as pagination and keeping text together. It uses wkhtmltopdf as a backend and used with Flask or Django to convert HTML to PDF in web applications.
PDF Generator Python using pdfkit installation process
- Download library pdfkit:
$ pip install pdfkit (or pip3 for python3)
- Install wkhtmltopdf:
$ sudo apt-get install wkhtmltopdf
- For Windows:(a) Download link: wkhtmltopdf(b)Set: PATH variable set binary folder in Environment variables.
Warning! Version in debian/ubuntu repos have reduced functionality (because it compiled without the wkhtmltopdf QT patches), such as adding outlines, headers, footers, TOC etc. To use this options you should install static binary from wkhtmltopdf site.
- Windows and other options: check wkhtmltopdf homepage for binary installers
use cases for PDF–Generator–Python using pdfkit
(i) if you have html file already saved on your system
import pdfkit pdfkit.from_file('test.html', 'out.pdf')
(ii) if you have any website URl; which needs to be converted:
import pdfkit pdfkit.from_url('http://google.com', 'out.pdf')
(iii) if you have series of string in the codes; which needs to be shown in the form of PDF:
import pdfkit pdfkit.from_string('Hello!', 'out.pdf')
Each API call takes an optional configuration parameter. This should be an instance of
pdfkit.configuration() API call. It takes the configuration options as initial parameters. The available options are:
wkhtmltopdf– the location of the
wkhtmltopdfbinary. By default
pdfkitwill attempt to locate this using
which(on UNIX type systems) or
meta_tag_prefix– the prefix for
pdfkitspecific meta tags – by default this is
Windows Specific Configuration
Example – for when
wkhtmltopdf is on
path_to_wkhtmltopdf = r"C:\Program Files\wkhtmltopdf\bin\wkhtmltopdf.exe" config = pdfkit.configuration(wkhtmltopdf=path_to_wkhtmltopdf) pdfkit.from_file(html_string, output_file, configuration=config)
Linux/Ubuntu Specific Configuration
Example – for when
wkhtmltopdf is not on
Also you can use
configuration() call to check if wkhtmltopdf is present in
config = pdfkit.configuration() pdfkit.from_string(html_string, output_file)
# not present in PATH
Get APIs Response and send to HTML:
API data segregation typically involves extracting relevant information from an API response and organizing it into a format that can be easily used and displayed by an application. This may involve filtering, sorting, or manipulating the data in some way.Once the data has been segregated, it can be sent to HTML using variety of techniques
Rendering Response Data to HTML
The html on django templates
Matplotlib pie charts are used to display data in a circular graph, where the size of each slice represents the proportion of the whole and commonly used to visualize categorical data and the relative sizes of different categories. Examples of use cases include market share of different products, distribution of budget among different departments, or the breakdown of survey responses by answer choice.
We have five sections and each section have some scores, based on these scores we will draw a pie chart using matplotlib
We will see the information on pdf for the sameple data:
- Profile Information
- Lifestyle scoring
- Vitals and Anthropometrics
from API’s response we can save an create a PDF file. Here is the sample response pdf file created with pdf-generator-python
IOError: 'No wkhtmltopdf executable found':
Make sure that you have wkhtmltopdf in your
$PATH or set via custom configuration (see preceding section). where wkhtmltopdf in Windows or which wkhtmltopdf on Linux should return actual path to binary.
IOError: 'Command Failed'
This error means that PDFKit was unable to process an input. You can try to directly run a command from error message and see what error caused failure (on some wkhtmltopdf versions this can be cause by segmentation faults)
PDF generation via API Endpoint
API Endpoint for to convert the HTML into PDF files and Storing those files into
MongoDB database .
Pre-requisities: s3 bucket, IAM credentials & mongodb
Follow the steps to using it as a REST API
make ensure you are inside the project / cloned repository
- pip install -r .requirements.txt
- python manage.py makemigrations.py
- python manage.py migrate
- python manage.py runserver
After successfully running the local host go to
http://127.0.0.1:8000/pdf/gen/ this url.
upload your HTML file and then you got response be like this: