fishnet-cod 1.0.0b4

Compute-over-Data (CoD) network for time series data on Aleph.im

fishnet-cod

P2P Financial Signal Hosting Network on Aleph

Initial setup

Install the FastAPI library and Uvicorn:

pip install -r requirements.txt

Uvicorn is used to run ASGI compatible web applications, such as the app web application from the example above. You need to specify it the name of the Python module to use and the name of the app:

cd src  # the following command must be run from the src folder

python -m uvicorn fishnet_cod.api.main:app --reload

Then open the app in a web browser on http://localhost:8000

Tip: With --reload, Uvicorn will automatically reload your code upon changes

Upload on Aleph

The same app we just used with Gunicorn can be used by Aleph to run the web app, since Aleph attempts to be compatible with ASGI.

To upload the app, we can use the aleph command line tool.

aleph program api app

Testing

Open the HTTP interface of a node running the VM Supervisor:

http://ip-of-supervisor:4020/vm/{message_hash}/

Deployment

You can deploy your own Fishnet instance using the fishnet_cod.deployment package.

from pathlib import Path

import asyncio

from aleph.sdk.client import AuthenticatedAlephClient
from aleph.sdk.chains.sol import get_fallback_account
from aleph.sdk.conf import settings

from fishnet_cod.deployment import deploy_api, deploy_executors

async def main():
    aleph_session = AuthenticatedAlephClient(
        get_fallback_account(),
        settings.API_HOST
    )  # you'll need tons of $ALEPH
    
    executors = await deploy_executors(
        executor_path=Path("/your/executor/folder"),
        time_slices=[0, -1],  # one executor for all data
        deployer_session=aleph_session,
        channel="MY_DEPLOYMENT_CHANNEL",
    )
    
    await deploy_api(
        api_path=Path("/your/api/folder"),
        deployer_session=aleph_session,
        executors=executors,
        channel="MY_DEPLOYMENT_CHANNEL",
    )

asyncio.run(main())