otupy.profiles.slpf.actuator.Specifiers

class Specifiers(dic)

Bases: Map

Methods

clear	D.clear() -> None.
copy	D.copy() -> a shallow copy of D
fromdict	Builds instance from dictionary
fromkeys	Create a new dictionary with keys from iterable and values set to value.
get	Return the value for key if key is in the dictionary, else default.
items	D.items() -> a set-like object providing a view on D's items
keys	D.keys() -> a set-like object providing a view on D's keys
make_recursive	Make this class recursive
pop	D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
popitem	Remove and return a (key, value) pair as a 2-tuple.
setdefault	Insert key with a value of default if key is not in the dictionary.
todict	Converts to dictionary
update	D.update([E, ]**F) -> None.
validate_fields	Check whether field names are valid
values	D.values() -> an object providing a view on D's values

Attributes

base	Base class
fieldtypes	Specifiers for Actuator
register	Registered extensions

__init__(dic)

Initialize the Actuator profile

The profile can be initialized by passing the internal fields explicitely (i.e., by giving them as key=value pair.

Parameters:

dic – A list of key=value pair which allowed values are given by fieldtype.

base = None

Base class

Data types defined in the Language Specification shall not set this field. Data types defined in Profiles that extends a Data Type defined in the Language Specification, must set this field to the corresponding class of the base Data Type.

Note: Extensions defined in the otupy context are recommended to use the same name of the base Data Type, and to distinguish them through appropriate usage of the namespacing mechanism.

clear() → None.  Remove all items from D.

copy() → a shallow copy of D

fieldtypes: dict = {'asset_id': <class 'str'>, 'asset_tuple': [<class 'str'>], 'hostname': <class 'str'>, 'named_group': <class 'str'>}

Specifiers for Actuator

Fields that may be specified to select the specific Actuator implementation. Usage of these fields is described by the SLPF Specification (Sec. 2.1.4), but their actual meaning and usage is up the the Actuator implementation.

The extension mechanism is described in the [Developing extensions](https://github.com/mattereppe/otupy/blob/main/docs/developingextensions.md#developing-extensions) Section of the main documentation.

Parameters:

• hostname – [RFC1123] hostname (can be a domain name or IP address) for a particular device with SLPF functionality.

• named_group – User defined collection of devices with SLPF functionality.

• asset_id – Unique identifier for a particular SLPF.

• asset_tuple – Unique tuple identifier for a particular SLPF consisting of a list of up to 10 strings. Not clear the definition and its usage.

classmethod fromdict(dic, e)

Builds instance from dictionary

It is used during deserialization to create an otupy instance from the text message. It takes an Encoder instance that is used to recursively build instances of the inner objects (the Encoder provides standard methods to create instances of base objects like strings, integers, boolean).

Parameters:

• dic – The intermediary dictionary representation from which the object is built.

• e – The Encoder that is being used.

Returns:

An instance of this class initialized from the dictionary values.

classmethod fromkeys(iterable, value=None, /)

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)

Return the value for key if key is in the dictionary, else default.

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

static make_recursive(cls)

Make this class recursive

This method can be used as a decorator to make a Map-derived class recurive, namely to hold objects of the same type in fieldtypes. To use this function, just declare the field that must be of the same type as the class as typing.Self, and use the @make_recursive decorator at declaration time.

Param:

No arguments must be specified when using this method as a decorator.

Returns:

A new instance of the class, where all types in fieldtypes marked as typing.Self are replaced with the class instance.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

register = None

Registered extensions

Classes that implement a Data Type defined in the Language Specification will use this field to register extensions defined by external Profiles. Classes that define extensions within Profiles shall register themselves according to the specific documentation of the base type class, but shall not modify this field.

setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

todict(e)

Converts to dictionary

It is used to convert this object to an intermediary representation during serialization. It takes an Encoder argument that is used to recursively serialize inner data and structures (the Encoder provides standard methods for converting base types to dictionaries)..

Parameters:

e – The Encoder that is being used.

Returns:

A dictionary compliants to the Language Specification’s serialization rules.

update([E, ]**F) → None.  Update D from dict/iterable E and F.

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

validate_fields(min_num=1)

Check whether field names are valid

Check if supplied field names are compliant with the fieldtypes list. Only check the name and number of fields, but does not perform any type checking.

Parameters:

min_num – Check that at list min_num fields are supplied (usually, at least 1 field must be supplied to create a valid object). Default to 1.

Returns:

True if validity check is passed, raise a ValueError exception otherwise.

values() → an object providing a view on D's values