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: Containerize your application using an official Python Alpine or Slim Docker image to ensure portability. Simple Dockerfile Template dockerfile
import io from fastapi import FastAPI, HTTPException from fastapi.responses import StreamingResponse from pydantic import BaseModel from reportlab.lib.pagesizes import letter from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer from reportlab.lib.styles import getSampleStyleSheet app = FastAPI(title="FastAPI PDF Engine") # Define the structure of the data required for the PDF invoice class InvoiceRequest(BaseModel): customer_name: str invoice_number: str amount_due: float due_date: str @app.post("/generate-pdf/") def generate_pdf_report(invoice: InvoiceRequest): try: # 1. Create an in-memory byte buffer to hold the PDF data buffer = io.BytesIO() # 2. Build a simple document layout using ReportLab doc = SimpleDocTemplate(buffer, pagesize=letter) styles = getSampleStyleSheet() story = [] # 3. Add styled text components to the document title_style = styles['Heading1'] body_style = styles['BodyText'] story.append(Paragraph(f" Invoice Statement ", title_style)) story.append(Spacer(1, 20)) story.append(Paragraph(f" Customer Name: invoice.customer_name", body_style)) story.append(Paragraph(f" Invoice Number: invoice.invoice_number", body_style)) story.append(Paragraph(f" Amount Due: $invoice.amount_due:,.2f", body_style)) story.append(Paragraph(f" Due Date: invoice.due_date", body_style)) # 4. Compile the PDF elements inside the buffer doc.build(story) # 5. Reset the buffer pointer to the beginning of the file stream buffer.seek(0) # 6. Stream the file data back to the user as a downloadable attachment filename = f"invoice_invoice.invoice_number.pdf" return StreamingResponse( buffer, media_type="application/pdf", headers="Content-Disposition": f"attachment; filename=filename" ) except Exception as e: raise HTTPException(status_code=500, detail=f"Failed to generate document: str(e)") Use code with caution. How to Test This PDF Endpoint:
@app.get("/items/item_id") def read_item(item_id: int): return "item_id": item_id, "status": "verified" Use code with caution. fastapi tutorial pdf
While many of the best resources are commercial, there are also legitimate free options available for learning. One notable example is the book Mastering FastAPI with Python , which is available as a free, hands-on guide covering everything from your first app to complex API architecture. Additionally, many online resources can be converted into PDF format for personal use.
from sqlalchemy import create_engine, Column, Integer, String from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker from fastapi import FastAPI, Depends from sqlalchemy.orm import Session DATABASE_URL = "sqlite:///./test.db" engine = create_engine(DATABASE_URL, connect_args="check_same_thread": False) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) Base = declarative_base() # Database Model class DBUser(Base): __tablename__ = "users" id = Column(Integer, primary_key=True, index=True) name = Column(String, index=True) Base.metadata.create_all(bind=engine) # Dependency to yield database sessions def get_db(): db = SessionLocal() try: yield db finally: db.close() app = FastAPI() @app.post("/db-users/") def add_db_user(name: str, db: Session = Depends(get_db)): new_user = DBUser(name=name) db.add(new_user) db.commit() db.refresh(new_user) return new_user Use code with caution. 7. Asynchronous Programming in FastAPI : Containerize your application using an official Python
FastAPI is not just another Python web framework. It has rapidly become one of the most beloved tools in the developer community for building web APIs. Its blend of performance, ease of use, and modern features makes it the top choice for new projects.
For a more structured, book-like experience that you can clone and follow offline, GitHub is a treasure trove of tutorial repositories. Build a simple document layout using ReportLab doc
: Emphasizes asynchronous programming and deploying machine learning models.
FastAPI automatically generates interactive API documentation. Visit http://127.0.0 to explore the . Core Concepts to Cover in a PDF Tutorial
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