Build SSE in Python (FastAPI)

We’re building a Server-Sent Events (SSE) demo using FastAPI. immediately and reliably. Install the required packages: pip install fastapi uvicorn Optional (for HTML rendering if needed): pip install jinja2 Save this as main.py: from fastapi import FastAPI from fastapi.responses import StreamingResp

We’re building a Server-Sent Events (SSE) demo using FastAPI.
This example streams messages to a browser immediately and reliably.

1️⃣ Dependencies

Install the required packages:

pip install fastapi uvicorn

Optional (for HTML rendering if needed):

pip install jinja2

2️⃣ Python Code (SSE + HTML)

Save this as main.py:

from fastapi import FastAPI
from fastapi.responses import StreamingResponse, HTMLResponse
import time

app = FastAPI()

# SSE generator
def event_generator():
    for i in range(1, 6):
        yield f"data: Message {i}\n\n"  # Each message ends with two newlines
        time.sleep(1)  # simulate delay

# SSE endpoint
@app.get("/events")
async def sse():
    return StreamingResponse(event_generator(), media_type="text/event-stream")

# Serve HTML page for testing
@app.get("/")
async def index():
    return HTMLResponse("""
    <!DOCTYPE html>
    <html>
      <body>
        <h1>SSE Test</h1>
        <ul id="messages"></ul>
        <script>
          const source = new EventSource("/events");
          const messages = document.getElementById("messages");

          source.onmessage = function(event) {
            const li = document.createElement("li");
            li.textContent = event.data;
            messages.appendChild(li);
          };
        </script>
      </body>
    </html>
    """)

✅ Key points:

StreamingResponse → streams events continuously
data: ...\n\n → required format for SSE
HTML served directly from FastAPI for easy testing
Browser automatically reconnects if connection drops

3️⃣ How to Run

Open terminal in the folder with main.py:

uvicorn main:app --reload

main → Python file name
app → FastAPI instance
--reload → auto-reloads on code change

Then open in your browser:

http://127.0.0.1:8000/

You should see messages appear one by one every second.

⚠️ Important Notes

Each SSE message must end with \n\n
Delay in the generator (time.sleep()) simulates real-time updates
Browser handles reconnection automatically

🚀 Next Steps

Next, we’ll cover production challenges with SSE:

Heartbeats to keep connections alive
Automatic reconnection tips
Proxy & load balancer considerations
Scaling SSE for many clients

These are critical for building real-world SSE systems.

2️⃣ Python Code (SSE + HTML)

Save this as main.py:

from fastapi import FastAPI
from fastapi.responses import StreamingResponse, HTMLResponse
import time

app = FastAPI()

# SSE generator
def event_generator():
    for i in range(1, 6):
        yield f"data: Message {i}\n\n"  # Each message ends with two newlines
        time.sleep(1)  # simulate delay

# SSE endpoint
@app.get("/events")
async def sse():
    return StreamingResponse(event_generator(), media_type="text/event-stream")

# Serve HTML page for testing
@app.get("/")
async def index():
    return HTMLResponse("""
    <!DOCTYPE html>
    <html>
      <body>
        <h1>SSE Test</h1>
        <ul id="messages"></ul>
        <script>
          const source = new EventSource("/events");
          const messages = document.getElementById("messages");

          source.onmessage = function(event) {
            const li = document.createElement("li");
            li.textContent = event.data;
            messages.appendChild(li);
          };
        </script>
      </body>
    </html>
    """)

✅ Key points:

StreamingResponse → streams events continuously

data: ...\n\n → required format for SSE

HTML served directly from FastAPI for easy testing

Browser automatically reconnects if connection drops

Build SSE in Python (FastAPI)

1️⃣ Dependencies

2️⃣ Python Code (SSE + HTML)

3️⃣ How to Run

⚠️ Important Notes

🚀 Next Steps

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Build SSE in Python (FastAPI)

1️⃣ Dependencies

2️⃣ Python Code (SSE + HTML)

3️⃣ How to Run

⚠️ Important Notes

🚀 Next Steps

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