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# Usage in web APIs
Note that `FPDF` instance objects are not designed to be reusable:
**content cannot be added** once [`output()`](https://py-pdf.github.io/fpdf2/fpdf/fpdf.html#fpdf.fpdf.FPDF.output) has been called.
Hence, even if the `FPDF` class should be thread-safe, we recommend that you either **create an instance for every request**,
or if you want to use a global / shared object, to only store the bytes returned from `output()`.
## Django
[Django](https://www.djangoproject.com/) is:
> a high-level Python web framework that encourages rapid development and clean, pragmatic design
There is how you can return a PDF document from a [Django view](https://docs.djangoproject.com/en/4.0/topics/http/views/):
```python
from django.http import HttpResponse
from fpdf import FPDF
def report(request):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
return HttpResponse(bytes(pdf.output()), content_type="application/pdf")
```
## WSGI applications
The following code can be placed in a `fpdf2_app.py` to make a WSGI application
```python
from fpdf import FPDF
def app(environ, start_response):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=12)
pdf.cell(text="Hello world!")
data = bytes(pdf.output())
start_response("200 OK", [
("Content-Type", "application/pdf"),
("Content-Length", str(len(data)))
])
return iter([data])
```
This script can then be served as a HTTP application using either:
* the standard [`wsgiref`](https://docs.python.org/3/library/wsgiref.html) module
* [`werkzeug.serving.run_simple`](https://werkzeug.palletsprojects.com/en/stable/serving/)
* [Gunicorn](https://gunicorn.org/), using: `gunicorn --bind localhost:8000 fpdf2_app:app`
* [uWSGI](https://uwsgi-docs.readthedocs.io/en/latest/), using: `uwsgi --http :8000 --module fpdf2_app:app`
### Flask ##
[Flask](https://flask.palletsprojects.com) is a micro web framework written in Python.
The following code can be placed in a `app.py` file and launched using `flask run`:
```python
from flask import Flask, make_response
from fpdf import FPDF
app = Flask(__name__)
@app.route("/")
def hello_world():
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
response = make_response(bytes(pdf.output()))
response.headers["Content-Type"] = "application/pdf"
return response
```
### Bottle
[Bottle](https://bottlepy.org/docs/dev/index.html) is:
> Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library.
The following code can be placed in a `app.py` file and launched using `python3 app.py`
```python
from bottle import route, run, response
from fpdf import FPDF
@route('/')
def hello():
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
pdf_bytes = bytes(pdf.output())
response.set_header('Content-Type', 'application/pdf')
response.status = 200
response.content_length = len(pdf_bytes)
return pdf_bytes
if __name__ == '__main__':
run(host='localhost', port=8080, debug=True)
```
### CherryPy
[CherryPy](https://cherrypy.dev) is:
> a pythonic, object-oriented web framework, allowing developers to build web applications in much the same way they would build any other object-oriented Python program.
The following code can be placed in a `app.py` file and launched using `python3 app.py`
```python
import cherrypy
from fpdf import FPDF
class HelloWorld(object):
@cherrypy.expose
def index(self):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
pdf_bytes = bytes(pdf.output())
cherrypy.response.headers['content-type'] = 'application/pdf'
cherrypy.response.status = 200
return pdf_bytes
if __name__ == "__main__":
cherrypy.quickstart(HelloWorld())
```
## AWS lambda
The following code demonstrates some minimal [AWS lambda handler function](https://docs.aws.amazon.com/lambda/latest/dg/python-handler.html)
that returns a PDF file as binary output:
```python
from base64 import b64encode
from fpdf import FPDF
def handler(event, context):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
return {
'statusCode': 200,
'headers': {
'Content-Type': 'application/json',
},
'body': b64encode(pdf.output()).decode('utf-8'),
'isBase64Encoded': True
}
```
This AWS lambda function can then be linked to a HTTP endpoint using [API Gateway](https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html),
or simply exposed as a [Lambda Function URL](https://aws.amazon.com/fr/blogs/aws/announcing-aws-lambda-function-urls-built-in-https-endpoints-for-single-function-microservices/).
More information on those pages:
* [Tutorial: Creating a Lambda function with a function URL](https://docs.aws.amazon.com/lambda/latest/dg/urls-tutorial.html)
* [Return binary media from a Lambda](https://docs.aws.amazon.com/apigateway/latest/developerguide/lambda-proxy-binary-media.html)
For reference, the test lambda function was initiated using the following [AWS CLI](https://aws.amazon.com/cli/) commands:
<details>
<summary>Creating & uploading a lambda layer</summary>
```bash
pyv=3.8
pip${pyv} install fpdf2 -t python/lib/python${pyv}/site-packages/
# We use a distinct layer for Pillow:
rm -r python/lib/python${pyv}/site-packages/{PIL,Pillow}*
zip -r fpdf2-deps.zip python > /dev/null
aws lambda publish-layer-version --layer-name fpdf2-deps \
--description "Dependencies for fpdf2 lambda" \
--zip-file fileb://fpdf2-deps.zip --compatible-runtimes python${pyv}
```
</details>
<details>
<summary>Creating the lambda</summary>
```bash
AWS_ACCOUNT_ID=...
AWS_REGION=eu-west-3
zip -r fpdf2-test.zip lambda.py
aws lambda create-function --function-name fpdf2-test --runtime python${pyv} \
--zip-file fileb://fpdf2-test.zip --handler lambda.handler \
--role arn:aws:iam::${AWS_ACCOUNT_ID}:role/lambda-fpdf2-role \
--layers arn:aws:lambda:${AWS_REGION}:770693421928:layer:Klayers-python${pyv/./}-Pillow:15 \
arn:aws:lambda:${AWS_REGION}:${AWS_ACCOUNT_ID}:layer:fpdf2-deps:1
aws lambda create-function-url-config --function-name fpdf2-test --auth-type NONE
```
</details>
Those commands do not cover the creation of the `lambda-fpdf2-role` role,
nor configuring the lambda access permissions, for example with a `FunctionURLAllowPublicAccess` resource-based policy.
## streamlit
[streamlit](https://streamlit.io) is:
> a Python library that makes it easy to create and share custom web apps for data science
The following code demonstrates how to display a PDF and add a button allowing to download it:
```python
from base64 import b64encode
from fpdf import FPDF
import streamlit as st
st.title("Demo of fpdf2 usage with streamlit")
@st.cache
def gen_pdf():
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
return bytes(pdf.output())
# Embed PDF to display it:
base64_pdf = b64encode(gen_pdf()).decode("utf-8")
pdf_display = f'<embed src="data:application/pdf;base64,{base64_pdf}" width="700" height="400" type="application/pdf">'
st.markdown(pdf_display, unsafe_allow_html=True)
# Add a download button:
st.download_button(
label="Download PDF",
data=gen_pdf(),
file_name="file_name.pdf",
mime="application/pdf",
)
```
## FastAPI
[FastAPI](https://fastapi.tiangolo.com/) is:
> a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
The following code shows how to generate a PDF file via a POST endpoint that receives a JSON object. The JSON object can be used to write into the PDF file. The generated PDF file will be returned back to the user/frontend as the response.
```python
from fastapi import FastAPI, Request, Response, HTTPException, status
from fpdf import FPDF
app = FastAPI()
@app.post("/send_data", status_code=status.HTTP_200_OK)
async def create_pdf(request: Request):
"""
POST endpoint that accepts a JSON object
This endpoint returns a PDF file as the response
"""
try:
# data will read the JSON object and can be accessed like a Python Dictionary
# The contents of the JSON object can be used to write into the PDF file (if needed)
data = await request.json()
# Create a sample PDF file
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="hello world")
# pdf.cell(text=data["content"]) # Using the contents of the JSON object to write into the PDF file
# Use str(data["content"]) if the content is non-string type
# Prepare the filename and headers
filename = "<file_name_here>.pdf"
headers = {
"Content-Disposition": f"attachment; filename={filename}"
}
# Return the file as a response
return Response(content=bytes(pdf.output()), media_type="application/pdf", headers=headers)
except Exception as e:
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
```
## Plone
[Plone](https://plone.org/) is:
> a powerful open source Content Management System built on Python and the Zope application server
Plone is widely used for building secure and scalable web applications. Here's how to generate and serve PDF documents with fpdf2 in Plone.
### As a Browser View
The most common approach is to create a browser view that generates and returns a PDF:
```python
from Products.Five import BrowserView
from fpdf import FPDF
class PDFReportView(BrowserView):
"""Generate and serve a PDF report"""
def __call__(self):
# Create PDF
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", size=24)
pdf.cell(text="Hello from Plone!")
# Add content from the context
pdf.ln(10)
pdf.set_font("Helvetica", size=12)
pdf.cell(text=f"Title: {self.context.Title()}")
# Generate PDF bytes
pdf_bytes = bytes(pdf.output())
# Set response headers
self.request.response.setHeader('Content-Type', 'application/pdf')
self.request.response.setHeader(
'Content-Disposition',
'attachment; filename="report.pdf"'
)
self.request.response.setHeader('Content-Length', len(pdf_bytes))
return pdf_bytes
```
Register the view in your package's `configure.zcml`:
```xml
<browser:page
name="pdf-report"
for="*"
class=".views.PDFReportView"
permission="zope2.View"
/>
```
The PDF can then be accessed at: `http://yoursite.com/path/to/content/@@pdf-report`
### As a Custom Content Type Method
For a custom Dexterity content type, you can add a method that generates PDFs:
```python
from plone.dexterity.content import Container
from fpdf import FPDF
class Report(Container):
"""Custom content type that can generate PDF reports"""
def generate_pdf(self):
"""Generate PDF from content type data"""
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", "B", 16)
pdf.cell(text=self.title)
pdf.ln(10)
pdf.set_font("Helvetica", size=12)
if self.description:
pdf.multi_cell(0, 5, text=self.description)
return bytes(pdf.output())
```
Then create a view to serve it:
```python
from Products.Five import BrowserView
class DownloadPDFView(BrowserView):
"""Download PDF for Report content type"""
def __call__(self):
pdf_bytes = self.context.generate_pdf()
self.request.response.setHeader('Content-Type', 'application/pdf')
self.request.response.setHeader(
'Content-Disposition',
f'attachment; filename="{self.context.getId()}.pdf"'
)
return pdf_bytes
```
Register this view in `configure.zcml`:
```xml
<browser:page
name="download-pdf"
for=".interfaces.IReport"
class=".views.DownloadPDFView"
permission="zope2.View"
/>
```
### With Catalog Queries
Generate PDFs from catalog search results:
```python
from Products.Five import BrowserView
from fpdf import FPDF
class CatalogReportView(BrowserView):
"""Generate PDF report from catalog query"""
def __call__(self):
catalog = self.context.portal_catalog
results = catalog(portal_type='Document',
review_state='published')
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", "B", 16)
pdf.cell(text="Published Documents Report")
pdf.ln(10)
pdf.set_font("Helvetica", size=10)
for brain in results:
pdf.cell(text=brain.Title)
pdf.ln()
pdf_bytes = bytes(pdf.output())
self.request.response.setHeader('Content-Type', 'application/pdf')
self.request.response.setHeader(
'Content-Disposition',
'attachment; filename="catalog-report.pdf"'
)
return pdf_bytes
```
### Notes for Plone Developers
- Always create a new `FPDF()` instance for each request to ensure thread safety
- Use appropriate permissions in your ZCML configuration
- Consider caching PDF generation for large documents using `plone.memoize`
- For complex PDFs, consider generating them asynchronously using Celery or similar task queues
## Jupyter
Check [tutorial/notebook.ipynb](https://github.com/py-pdf/fpdf2/blob/master/tutorial/notebook.ipynb)
## web2py
Usage of [the original PyFPDF library](History.md) with [web2py](http://www.web2py.com/) is described here: <https://github.com/reingart/pyfpdf/blob/master/docs/Web2Py.md>
`v1.7.2` of PyFPDF is included in `web2py` since release `1.85.2`: <https://github.com/web2py/web2py/tree/master/gluon/contrib/fpdf>
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