sse-starlette 3.2.0

SSE plugin for Starlette

Server-Sent Events for Starlette and FastAPI

Background: https://sysid.github.io/server-sent-events/

Production ready Server-Sent Events implementation for Starlette and FastAPI following the W3C SSE specification.

Installation

pip install sse-starlette
uv add sse-starlette

# To run the examples and demonstrations
uv add sse-starlette[examples]

# Recommended ASGI server
uv add sse-starlette[uvicorn,granian,daphne]

Quick Start

import asyncio
from starlette.applications import Starlette
from starlette.routing import Route
from sse_starlette import EventSourceResponse

async def generate_events():
    for i in range(10):
        yield {"data": f"Event {i}"}
        await asyncio.sleep(1)

async def sse_endpoint(request):
    return EventSourceResponse(generate_events())

app = Starlette(routes=[Route("/events", sse_endpoint)])

Core Features

• Standards Compliant: Full SSE specification implementation
• Framework Integration: Native Starlette and FastAPI support
• Async/Await: Built on modern Python async patterns
• Connection Management: Automatic client disconnect detection
• Graceful Shutdown: Proper cleanup on server termination
• Thread Safety: Context-local event management for multi-threaded applications
• Multi-Loop Support: Works correctly with multiple asyncio event loops

Key Components

EventSourceResponse

The main response class that handles SSE streaming:

from sse_starlette import EventSourceResponse

# Basic usage
async def stream_data():
    for item in data:
        yield {"data": item, "event": "update", "id": str(item.id)}

return EventSourceResponse(stream_data())

ServerSentEvent

For structured event creation:

from sse_starlette import ServerSentEvent

event = ServerSentEvent(
    data="Custom message",
    event="notification", 
    id="msg-123",
    retry=5000
)

JSONServerSentEvent

For an easy way to send json data as SSE events:

from sse_starlette import JSONServerSentEvent

event = JSONServerSentEvent(
    data={"field":"value"}, # Anything serializable with json.dumps
)

Advanced Usage

Custom Ping Configuration

from sse_starlette import ServerSentEvent

def custom_ping():
    return ServerSentEvent(comment="Custom ping message")

return EventSourceResponse(
    generate_events(),
    ping=10,  # Ping every 10 seconds
    ping_message_factory=custom_ping
)

Multi-Threaded Usage

sse-starlette now supports usage in multi-threaded applications and with multiple asyncio event loops:

import threading
import asyncio
from sse_starlette import EventSourceResponse

def run_sse_in_thread():
    """SSE streaming works correctly in separate threads"""
    loop = asyncio.new_event_loop()
    asyncio.set_event_loop(loop)
    
    async def thread_events():
        for i in range(5):
            yield {"data": f"Thread event {i}"}
            await asyncio.sleep(1)
    
    # This works without "Event bound to different loop" errors
    response = EventSourceResponse(thread_events())
    loop.close()

# Start SSE in multiple threads
for i in range(3):
    thread = threading.Thread(target=run_sse_in_thread)
    thread.start()

Database Streaming (Thread-Safe)

async def stream_database_results(request):
    # CORRECT: Create session within generator context
    async with AsyncSession() as session:
        results = await session.execute(select(User))
        for row in results:
            if await request.is_disconnected():
                break
            yield {"data": row.name, "id": str(row.id)}

return EventSourceResponse(stream_database_results(request))

Error Handling and Timeouts

async def robust_stream(request):
    try:
        for i in range(100):
            if await request.is_disconnected():
                break
            yield {"data": f"Item {i}"}
            await asyncio.sleep(0.5)
    except asyncio.CancelledError:
        # Client disconnected - perform cleanup
        raise

return EventSourceResponse(
    robust_stream(request),
    send_timeout=30,  # Timeout hanging sends
    headers={"Cache-Control": "no-cache"}
)

Memory Channels Alternative

For complex data flows, use memory channels instead of generators:

import anyio
from functools import partial

async def data_producer(send_channel):
    async with send_channel:
        for i in range(10):
            await send_channel.send({"data": f"Item {i}"})
            await anyio.sleep(1)

async def channel_endpoint(request):
    send_channel, receive_channel = anyio.create_memory_object_stream(10)
    
    return EventSourceResponse(
        receive_channel,
        data_sender_callable=partial(data_producer, send_channel)
    )

Configuration Options

EventSourceResponse Parameters

Parameter	Type	Default	Description
content	ContentStream	Required	Async generator or iterable
ping	int	15	Ping interval in seconds
sep	str	"\r\n"	Line separator (\r\n, \r, \n)
send_timeout	float	None	Send operation timeout
headers	dict	None	Additional HTTP headers
ping_message_factory	Callable	None	Custom ping message creator

Client Disconnection

async def monitored_stream(request):
    events_sent = 0
    try:
        while events_sent < 100:
            if await request.is_disconnected():
                print(f"Client disconnected after {events_sent} events")
                break
            
            yield {"data": f"Event {events_sent}"}
            events_sent += 1
            await asyncio.sleep(1)
            
    except asyncio.CancelledError:
        print("Stream cancelled")
        raise

Testing

sse-starlette includes now comprehensive test isolation without manual setup. The library automatically handles event loop contexts, eliminating the need for manual state resets:

# this is deprecated and not needed since version 3.0.0
import pytest
from sse_starlette import EventSourceResponse

@pytest.fixture
def reset_sse_app_status():
    AppStatus.should_exit_event = None
    yield
    AppStatus.should_exit_event = None

Production Considerations

Performance Limits

• Memory: Each connection maintains a buffer. Monitor memory usage.
• Connections: Limited by system file descriptors and application design.
• Network: High-frequency events can saturate bandwidth.

Error Recovery

Implement client-side reconnection logic:

function createEventSource(url) {
    const eventSource = new EventSource(url);
    
    eventSource.onerror = function() {
        setTimeout(() => {
            createEventSource(url);  // Reconnect after delay
        }, 5000);
    };
    
    return eventSource;
}

Learning Resources

Examples Directory

The examples/ directory contains production-ready patterns:

• 01_basic_sse.py: Fundamental SSE concepts
• 02_message_broadcasting.py: Multi-client message distribution
• 03_database_streaming.py: Thread-safe database integration
• 04_advanced_features.py: Custom protocols and error handling

Demonstrations Directory

The examples/demonstrations/ directory provides educational scenarios:

Basic Patterns (basic_patterns/):

• Client disconnect detection and cleanup
• Graceful server shutdown behavior

Production Scenarios (production_scenarios/):

• Load testing with concurrent clients
• Network interruption handling

Advanced Patterns (advanced_patterns/):

• Memory channels vs generators
• Error recovery and circuit breakers
• Custom protocol development

Run any demonstration:

python examples/demonstrations/basic_patterns/client_disconnect.py
python examples/demonstrations/production_scenarios/load_simulations.py
python examples/demonstrations/advanced_patterns/error_recovery.py

Troubleshooting

Common Issues

Database session errors with async generators

• Create database sessions inside generators, not as dependencies

Hanging connections after client disconnect

• Always check await request.is_disconnected() in loops
• Use send_timeout parameter to detect dead connections

If you are using Postman, please see: https://github.com/sysid/sse-starlette/issues/47#issuecomment-1445953826

Performance Optimization

# Connection limits
class ConnectionLimiter:
    def __init__(self, max_connections=100):
        self.semaphore = asyncio.Semaphore(max_connections)
    
    async def limited_endpoint(self, request):
        async with self.semaphore:
            return EventSourceResponse(generate_events())

Network-Level Gotchas

Network infrastructure components can buffer SSE streams, breaking real-time delivery. Here are the most common issues and solutions:

Reverse Proxy Buffering (Nginx/Apache)

Problem: Nginx buffers responses by default, delaying SSE events until ~16KB accumulates.

Solution: Add the X-Accel-Buffering: no header.

Nginx Configuration (if you can't modify app headers):

location /events {
    proxy_pass http://localhost:8000;
    proxy_http_version 1.1;
    proxy_set_header Connection '';
    proxy_buffering off;           # Disable for this location
    chunked_transfer_encoding off;
}

CDN Issues

Cloudflare: Buffers ~100KB before flushing to clients, breaking real-time delivery. Akamai: Edge servers buffer by default.

Load Balancer Problems

HAProxy: Timeout settings must exceed heartbeat frequency.

# Ensure timeouts > ping interval
timeout client 60s    # If ping every 45s
timeout server 60s

F5 Load Balancers: Buffer responses by default.

Contributing

See examples and demonstrations for implementation patterns. Run tests with:

make test-unit  # Unit tests only
make test       # All tests including integration