pythonlab.resource module

---

PROJECT:

pythonLab

resource base classes

details:

authors:

mark doerr (mark@uni-greifswald.de)

date:

(creation) 20210410

---

class pythonlab.resource.DataDirection(*values)

Bases: Enum

data_in = 1

data_out = 2

class pythonlab.resource.DataResource(proc, name: str = None)

Bases: Resource

_abc_impl = <_abc._abc_data object>

init()

class pythonlab.resource.DataType(*values)

Bases: Enum

data_stream = 3

single_value = 1

structured_data = 2

class pythonlab.resource.DynamicLabwareResource(proc, name: str, priority=None, lidded: bool = False, outside_cost=0, **kwargs)

Bases: LabwareResource

_abc_impl = <_abc._abc_data object>

class pythonlab.resource.LabwareResource(proc, name: str = None, priority=None, lidded: bool = False, **kwargs)

Bases: Resource

multi-cavity / single cavity ? associated labware, like labwares, lids, stacks

Parameters:

Resource ([type]) – [description]

_abc_impl = <_abc._abc_data object>

consume_max_wait()

consume_min_wait()

consume_wait_cost()

init()

max_wait(duration)

min_wait(duration)

property pos

set_start_position(resource, position)

wait_cost(cost_per_second)

class pythonlab.resource.Position(resource, position: int)

Bases: object

property name

property pos

property resource

class pythonlab.resource.Resource(proc=None, name: str | None = None)

Bases: ABC

_abc_impl = <_abc._abc_data object>

_import_all_resources(namespace_pkg)

recursively iterate through namespace Specifying the second argument (prefix) to iter_modules makes the returned name an absolute name instead of a relative one. This allows import_module to work without having to do additional modification to the name. s. https://packaging.python.org/guides/creating-and-discovering-plugins/

TODO: recursive import !!

auto_register_resource()

auto register resource in corresponding process

import_resources(path)

Import resources from a given path

Parameters:

path (_type_) – _description_

TODO: path to resources

abstractmethod init()

property name

class pythonlab.resource.ServiceResource(proc, name: str | None = None)

Bases: Resource

is reflection SiLA’s service oriented concept

(more general than a device, since a service can be much more than a device)

Parameters:

Resource ([type]) – [description]

_abc_impl = <_abc._abc_data object>

init()

class pythonlab.resource.SubstanceResource(proc, name: str = None)

Bases: Resource

more general concept than sample

can be used to define substances / samples and their corresponding properties, like liquid classes, or physical state (gas, liquid, solid/powder), density, viscosity, vapour pressure

Parameters:

Resource ([type]) – [description]

_abc_impl = <_abc._abc_data object>

init()