Importing a connector

1. Access to the UniteLabs platform.
2. Have a thermocycler example connector deployed and connected to your tenant.

To install the thermocycler, follow the quickstart guide in the README of the demo thermocycler repository. Specify your tenants cloud endpoint in the connectors .env file to connect it to the platform. Ask your UniteLabs contact if you don't know your cloud endpoint.

Jupyter Notebook pre-setup

In the first code block of your jupyter notebook put the following (required for asynchronous code)

import asyncio
import nest_asyncio
nest_asyncio.apply()

Note:
In the following guide print(...) is used to output information. To get the outputs in the "Jupyter" format, use display(...) or place them without print or display at the end of a code block.

1. An environment with an installed SDK (see local installation of the SDK).
2. A thermocycler example connector deployed and connected to your tenant.

To install the thermocycler, follow the quickstart guide in the README of the demo thermocycler repository. Specify your tenants cloud endpoint in the connectors .env file to connect it to the platform. Ask your UniteLabs contact if you don't know your cloud endpoint.

Local python specific pre-setup

In the local installation of the SDK guide you created a project and a __main__.py. You can continue using that or a similar setup for this guide:

import asyncio
from dotenv import load_dotenv
# place new imports here


async def main():
    # place new code lines here in the main function

if __name__ == "__main__":
    load_dotenv()
    asyncio.run(main())

1. An environment with an installed SDK (see local installation of the SDK).
2. A thermocycler example connector deployed and connected to your tenant.

To install the thermocycler, follow the quickstart guide in the README of the demo thermocycler repository. Specify your tenants cloud endpoint in the connectors .env file to connect it to the platform. Ask your UniteLabs contact if you don't know your cloud endpoint.

Jupyter Notebook specific pre-setup

Install nest_asyncio which is required for asynchronous code execution in Jupyter.

poetry add nest-asyncio

or

pip install nest-asyncio

In the first code block of your jupyter notebook put the following import:

import asyncio
import nest_asyncio
nest_asyncio.apply()

Note:
In the following guide print(...) is used to output information. To get the outputs in the "Jupyter" format, use display(...) or place them without print() or display() at the end of a code block.