Metadata-Version: 2.4
Name: sse-starlette
Version: 3.0.3
Summary: SSE plugin for Starlette
Author-email: sysid <sysid@gmx.de>
License-Expression: BSD-3-Clause
Project-URL: Source, https://github.com/sysid/sse-starlette
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Internet :: WWW/HTTP
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: anyio>=4.7.0
Provides-Extra: examples
Requires-Dist: uvicorn>=0.34.0; extra == "examples"
Requires-Dist: fastapi>=0.115.12; extra == "examples"
Requires-Dist: sqlalchemy[asyncio]>=2.0.41; extra == "examples"
Requires-Dist: starlette>=0.49.1; extra == "examples"
Requires-Dist: aiosqlite>=0.21.0; extra == "examples"
Provides-Extra: uvicorn
Requires-Dist: uvicorn>=0.34.0; extra == "uvicorn"
Provides-Extra: granian
Requires-Dist: granian>=2.3.1; extra == "granian"
Provides-Extra: daphne
Requires-Dist: daphne>=4.2.0; extra == "daphne"
Dynamic: license-file

# Server-Sent Events for [Starlette](https://github.com/encode/starlette) and [FastAPI](https://fastapi.tiangolo.com/)

[![Downloads](https://static.pepy.tech/badge/sse-starlette/week)](https://pepy.tech/project/sse-starlette)
[![PyPI Version][pypi-image]][pypi-url]
[![Build Status][build-image]][build-url]

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

Production ready Server-Sent Events implementation for Starlette and FastAPI following the [W3C SSE specification](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events).

## Installation

```bash
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

```python
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:

```python
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:

```python
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:

```python
from sse_starlette import JSONServerSentEvent

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

## Advanced Usage

### Custom Ping Configuration

```python
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:

```python
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)

```python
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

```python
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:

```python
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

```python
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:

```python
# 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:

```javascript
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:
```bash
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

```python
# 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):
```nginx
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.
```haproxy
# 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:

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

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