Ethereum and WebSockets: Creating Real-Time Data Streams with Asyncio

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As a Python developer, you are probably familiar with the importance of real-time data streams in applications such as financial trading platforms. One popular way to do this is by using web sockets, a protocol that establishes two-way communication between clients and servers over the internet.

In this article, we will look at how to use asyncio (a Python asynchronous I/O library) to connect multiple websocket data streams to Ethereum using Python.

What is Asyncio?

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Asyncio is built on Python 3.4+ and supports I/O, coroutines, and concurrency. It allows you to write single-threaded parallel code using the async/await syntax, making it easy to write efficient and scalable asynchronous code.

Connecting to Binance Websockets

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To connect to Binance Websockets, we use the requests library with a WebSocket client. We also use asyncio to handle multiple connections simultaneously.

import asyncio
import aiohttp
async def get_websocket_data(api_key):
url = f" subscription"
params = {
"key": api_key,
"symbol": "BTCUSDT",
"event_type": "new_order",
"limit": 1
}
async with aiohttp.ClientSession() as session:
async with session.post(url, json=params) as response:
data = await response.json()
return data
async def main():
api_keys = ["API_KEY_1", "API_KEY_2", "API_KEY_3"]
tasks = [get_websocket_data(api_key) for api_key in api_keys]
responses = await asyncio.gather(*tasks)
print (responses)
if __name__ == "__main__":
asyncio.run(main())

In this example, we define a get_websocket_data function that sends a subscription request to Binance with the given API key. We can then use asyncio.gather to run multiple tasks at once.

We create a list of API keys and pass them to the get_websocket_data function using an async for loop. Each task is executed independently, allowing us to handle multiple connections simultaneously.

Output Example

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The output will be a JSON object containing the latest market data from the Binance WebSocket API.

[
{'symbol': 'BTCUSDT', 'last_price': 0.0001},
{'symbol': 'BTCUSDT', 'bid': 0.001, 'ask': 0.002},
...
]

Real-time data streams

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If you want to receive messages for multiple API keys at once, we can use a single asynchronous event loop and subscribe to multiple WebSocket events using the “async with” operator.

import asyncio
async def main():
api_keys = ["API_KEY_1", "API_KEY_2"]









Subscribe to market data events
async with aiohttp.ClientSession() as session:
async to response in session.get(" response:
if "ok" in response.json():
data = await response.json()
for api_key event in zip(api_keys, ['market', 'order', 'trading']):

Market data processing
print(f"Market data: {event}")

Order and trading event processing
if event['type'] == 'new_order':
print ("New order received")

Run the main function
async.run(main())

In this example, there are several We subscribe to WebSocket events using a “for” loop. We process each event one by one, sending messages to the console.

ETHEREUM TRANSACTIONS