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FastAPIis a modern, high-performance web framework for building APIs with Python. It is designed to be easy to use and learn while providing powerful features like automatic validation, serialization, and automatic interactive API documentation. Additionally, it works with any template engine and allows you to use any default template configuration needed for your project.
Let’s dive into the details of FastAPI, its features, and how to use it effectively. Later in this article, we will also look into IronPDF a PDF generation Python package from Iron Software.
You can install FastAPI and Uvicorn (an ASGI server) using pip:
pip install fastapi
pip install "uvicorn[standard]"
Here’s a simple example to get you started with FastAPI and expose Python data through a user interface:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}") # with query parameters
def read_item(item_id: int, q: str = None):
return {"item_id": item_id, "q": q}
To run the application, use Uvicorn:
uvicorn main:app --reload
This command will start a development server and automatically reload for code changes. You can access the interactive API documentation at http://127.0.0.1:8000/docs
.
FastAPI supports a wide range of advanced features, making it suitable for complex applications:
Let’s build a simple CRUD (Create, Read, Update, Delete) API for managing items.
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str = None
price: float
tax: float = None
from fastapi import FastAPI, HTTPException
app = FastAPI()
items = {}
@app.post("/items/")
def create_item(item: Item):
item_id = len(items) + 1
items[item_id] = item
return item
@app.get("/items/{item_id}") # optional str query parameter
def read_item(item_id: int):
if item_id not in items:
raise HTTPException(status_code=404, detail="Item not found")
return items[item_id]
@app.put("/items/{item_id}") # with path parameters
def update_item(item_id: int, item: Item):
if item_id not in items:
raise HTTPException(status_code=404, detail="Item not found")
items[item_id] = item
return item
@app.delete("/items/{item_id}")
def delete_item(item_id: int):
if item_id not in items:
raise HTTPException(status_code=404, detail="Item not found")
del items[item_id]
return {"message": "Item deleted"}
IronPDF is a powerful Python library designed for creating, editing, and signing PDFs from HTML, CSS, images, and JavaScript. It offers commercial-grade performance with a low memory footprint. Key features include:
Convert HTML files, HTML strings, and URLs to PDFs. For example, render a webpage as a PDF using the Chrome PDF renderer.
Compatible with various .NET platforms, including .NET Core, .NET Standard, and .NET Framework. It supports Windows, Linux, and macOS.
Set properties, add security with passwords and permissions, and apply digital signatures to your PDFs.
Customize PDFs with headers, footers, page numbers, and adjustable margins. Supports responsive layouts and custom paper sizes.
Adheres to PDF standards such as PDF/A and PDF/UA. Supports UTF-8 character encoding and handles assets like images, CSS, and fonts.
pip install fastapi
pip install ironPDF
from fastapi import FastAPI
from fastapi.responses import FileResponse
from ironpdf import *
# Apply your license key
License.LicenseKey = "key"
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "IronPDF"}
@app.get("/items/{item_id}") # with query parameters
def read_item(item_id: int, q: str = None):
return {"item_id": item_id, "q": q}
@app.get("/pdf")
async def get_pdf(greet1: str = None,greet2: str = None):
renderer = ChromePdfRenderer()
# Create a PDF from a HTML string using Python
content = "<h1>Document Generated using IronPDF with fastapi GET</h1>"
content += "<p> Demonstrate PDF generation using User Inputs"+"</p>"
content += "<p>"+f"Greetings from: {greet1}"+"</p>"
content += "<p>"+f"And Greetings from: {greet2}"+"</p>"
pdf = renderer.RenderHtmlAsPdf(content)
# Export to a file or Stream
pdf.SaveAs("fastapi.pdf")
# To view the file in the browser, use "inline" for the media_type
headers = {
"Content-Disposition": "inline; filename=sample.pdf"
}
# Create a FileResponse object with the file path, media type and headers
response = FileResponse("fastapi.pdf", media_type="application/pdf", headers=headers)
# Return the FileResponse object
return response
This code snippet demonstrates the integration of IronPDF with FastAPI to dynamically generate PDF documents based on user inputs and serve them as a downloadable response.
Setting License Key: Applies the IronPDF license key to enable its features.
FastAPI Initialization: Initializes a FastAPI instance (`app`) to handle HTTP requests.3. Basic Route Handlers: `read_root()`: Responds with a simple JSON message indicating "Hello IronPDF" when accessing the root URL (`/`). `read_item()`: Accepts an `item_id` path parameter and an optional `q` query parameter. Returns a JSON response with these function parameters.
This code snippet illustrates how IronPDF can be seamlessly integrated with FastAPI to dynamically generate and serve PDF documents based on user inputs. It showcases the ability to convert HTML content into PDFs, making it suitable for applications requiring on-the-fly document generation and delivery over HTTP.
Below shows the swagger output generated from the APIs
IronPDF runs on the license key for python. IronPDF for Python offers a free trial license key to allow users to check out features before purchase.
Place the License Key at the start of the script before using the IronPDF package:
from ironpdf import *
# Apply your license key
License.LicenseKey = "key"
FastAPI is a powerful and easy-to-use framework for building APIs in Python. FastAPI has high performance, automatic documentation, and advanced features make it an excellent choice for both beginners and experienced developers. Whether you’re building a simple API or a complex web application, FastAPI provides the tools you need to succeed.
IronPDF is a robust Python library for creating, manipulating, and rendering PDF documents from HTML content. It offers features like HTML to PDF conversion, interactive form creation, PDF manipulation (merging, splitting), and text extraction. Ideal for generating dynamic PDFs with ease and integrating into various Python applications.
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