Connecting to Thermo Scientific KingFisher Flex BindIt#

This guide will walk you through how to connect Artificial to Thermo Scientific KingFisher Flex BindIt using the Artificial BindIt Resource Library.

Attention

Before you get started, make sure your local Adapter development environment is set up and ready to go.

Supported BindIt versions#

Thermo Scientific KingFisher Flex BindIt 4.1

Install the driver#

Download and install the Artificial BindIt Driver.

Warning

Before launching the driver, make sure to also launch the program MibAiServer which is installed as part of the BindIt application.

Install the Resource Library in your Adapter#

Run the following command in the terminal of your adapter repository to install Artificial’s Thermo Scientific KingFisher Flex BindIt Resource Library:

uv add artificial-bindit-adapter==0.1.*

Your pyproject.toml file should now include artificial-bindit-adapter in the project dependencies section:

[project]
dependencies = [
  ...
  "artificial-bindit-adapter==0.1.*"
]

Update your Adapter Config#

config.yaml#
adapter:
  name: BindItTutorialAdapter
  remoteConfig: False
  allowAnySequenceId: True # Useful when running in a local dev container
  plugin: # all resources this adapter can connect to
    resource:
      name: "Bindit Flex"  # user friendly name, unique in the adapter
      id: "bindit" # This should match the device key in the asset_sync section below
      driver:
        name: "bindit" # Driver name, this is a non-configurable string that needs to match the driver identity
        url: "http://bindit.webaddress.com:55175" #  URL of the hardware and driver
        resource_simulation: false     # Set to true to run simulation without hardware
        driver_simulation: false       # Set to true to run simulation without a driver
        cert_file: "adapter/certs/ca.crt"
        workspace_name: "C:/bindit_files/Bindit i7.bif"
  # BindIt uses different instrument for simulation. Must include the regular instrument and simulation instrument WITH SAME RID.
  asset_sync:
    devices: # device string names/prefix must match resource id above
       "bindit": { rid: "d1234567-34d0-4391-be64-7aef4e0b28be" }
       "bindit:KingFisher Flex simulator": { rid: "d1234567-34d0-4391-be64-7aef4e0b28be" }

  1. Fill in the correct URL (including the port) for the BindIt device. The device’s IPv4 URL can be obtained from Network & Internet Settings or by running ipconfig in a command window. The port is listed in the running driver server console window.

    Where to find the port number in the driver console window

  2. You may update the resource name above if you wish. Any string will work but it must be unique across the instance.

  3. If you wish to run in simulation without hardware or without a driver, change resource_simulation or driver_simulation to true, respectively.

  4. Update the asset_sync section to map the resource id to the instrument’s asset instance id in the digital twin. You can fill out the rest of the devices later. See Asset Sync Config for more information.

Use the Resource Library in your Adapter#

adapter/main/plugin.py file#
from artificial.adapter_common import ActionModulePlugin, action_modules
from artificial.adapter_common.plugin import PluginContext, plugin_config
from artificial.bindit.actions import BinditActions
from artificial.bindit.core import BinditResource
from artificial.bindit.event_handler import BinditEventHandler
from artificial.logging import get_logger
from artificial.resource_base.asset_syncer import ResourceAssetSyncer
from artificial.resource_base.models import PluginConfig, SyncConfig

logger = get_logger(__name__)


@action_modules(BinditActions)
class AdapterPlugin(ActionModulePlugin):
    """assemble resources components with resource configuration"""

    _cfg = plugin_config(PluginConfig)  # this will make PluginConfig show up in the adapter config UI

    async def setup(self, pctx: PluginContext) -> None:
        plugin_conf = self._cfg
        prog_config = pctx.config
        sync_config: SyncConfig = pctx.raw_config.to_dataclass(SyncConfig, 'adapter.asset_sync')
        logger.debug(f'sync_config loaded: {sync_config}')

        # all resources in the adapter use the same res_syncer
        syncer = pctx.asset_sync_manager_v1(f'ResourceSyncer-{prog_config.adapter.name}')
        res_syncer = ResourceAssetSyncer(syncer, sync_config)
        await res_syncer.initialize()

        # create instances of resources for this adapter
        resource = BinditResource(
            pctx.alabPyBase,
            lab_id=prog_config.artificial.labId,
            adapter_id=prog_config.adapter.name,
            resource_id=plugin_conf.resource.id,
            name=plugin_conf.resource.name,
            res_syncer=res_syncer,
        )

        if resource:  # hook up action modules and event handlers
            resource.set_driver(driver_config=plugin_conf.resource.driver, simulator=None)
            await resource.set_health_monitors(pctx.lab.health)
            self.add_module(BinditActions(resource))

            # subscribe the driver events
            event_handler = BinditEventHandler(resource)
            resource.add_event_handler(event_handler)

Add the required Actors#

Add the following actors to the list of actors in adapter/main/__main__.py.

adapter/main/__main__.py#
actors = [
    ActorConfig(id='bindit', abilities={'run_protocol': 1, 'substrate': 1, 'bindit': 1}),
]

Publish and run a test Workflow#

This workflow will run a method of your choosing and log a message in the UI upon successful completion. You can set which method to run in the request UI by inputting the method name with its full path (e.g., C://Protocols//mymethod.bdz).

Note

Update the variable params to reflect the needs of your protocol. If your protocol does not require variables, set params to an empty list ([]).

from typing import List

from artificial.workflows.decorators import parameter, workflow
from artificial.workflows.runtime import show_info
from stubs.stubs_actions import VariableType, run_protocol_to_completion


@workflow('Simple BindIt Connectivity Test Workflow', 'simple_bindit_connectivity_workflow')
@parameter('method_full_name', {'required': True, 'uiTitle': 'Instrument Method Name'})
async def simple_bindit_connectivity_workflow(method_full_name: str) -> None:
    params: List[VariableType] = [
        VariableType(var_name='run_now', var_value='true', var_type='TrueFalse'),
        VariableType(var_name='nplates', var_value='1', var_type='Numeric'),
    ]
    await run_protocol_to_completion(protocol_full_name=method_full_name, parameters=params)
    await show_info('Congratulations, you successfully ran your hardware!', 'Hardware Success')