Asyncio support

The library has full support of asyncio, though you need to be aware it has some limitations.


A very basic example:

import asyncio

from bitshares.aio import BitShares
from bitshares.aio.instance import set_shared_bitshares_instance

async def info(loop, bitshares):
    await bitshares.connect()

def main():
    loop = asyncio.get_event_loop()
    bitshares = BitShares(loop=loop)
    loop.run_until_complete(info(loop, bitshares))

if __name__ == '__main__':

Instantiation of BitShares

To be able to perform calls, you need to explicitly run await BitShares.connect(). That is, creating of instance object and actual network connection are separate operations in async version:

bitshares = BitShares(loop=loop)
await bitshares.connect()


  • Most of the classes requires async init because during instantiation some API calls has to be performed:
await Amount('10 FOO')
  • Several math operations are not available for bitshares.aio.Amount, bitshares.aio.Price objects. This includes multiplication, division etc. This limitation is due to unability to define python magic methods (__mul__, __div__, etc) as async coroutines
  • Most of properties are awaitables too:
asset = await Asset('CNY')
await asset.max_market_fee


In asyncio version subscription notifications are not handled in callback-based manner. Instead, they are available in self.notifications queue which is asyncio.Queue. You can use a single bitshares instance both for setting subscriptions and performing other API calls.

Here is the example of how to subscribe and handle events:

market = await Market("TEST/USD")
await bitshares.subscribe_to_market(market, event_id=4)

while True:
    event = await bitshares.notifications.get()


To enable debugging on RPC level, you can raise loglevel on following loggers (don’t forget to set formatter as well):

log = logging.getLogger("websockets")

log = logging.getLogger("grapheneapi")


Asyncio version has a dedicated testsuite which uses real API integration tests which are performed against local bitshares-core testnet. Bitshares node is spawned automatically inside docker container. You don’t need to setup anything.

Before running tests you need to install dependencies via pip intstall -r requirements-test.txt

Run tests via pytest -v tests/testnet/aio/