jamf_pro_sdk.models.classic.advanced_computer_searches.ClassicAdvancedComputerSearch

class ClassicAdvancedComputerSearch(*, id: int | None = None, name: str | None = None, site: ClassicSite | None = None, criteria: List[ClassicCriterion] | None = None, display_fields: List[ClassicAdvancedComputerSearchDisplayField] | None = None, computers: List[ClassicAdvancedComputerSearchResult] | None = None, **kwargs)

Represents an advanced computer search record returned by the list_all_advanced_computer_searches() operation.

When exporting to XML for a POST/PUT operation, the SDK by default will only include name, site, criteria, and display_fields. To bypass this behavior export the model using xml() before pasting to the API operation.

Parameters:
__init__(**kwargs)

Methods

__init__(**kwargs)

construct([_fields_set])

copy(*[, include, exclude, update, deep])

Returns a copy of the model.

dict(*[, include, exclude, by_alias, ...])

from_orm(obj)

json(*[, include, exclude, by_alias, ...])

model_construct([_fields_set])

Creates a new instance of the Model class with validated data.

model_copy(*[, update, deep])

!!! abstract "Usage Documentation"

model_dump(*[, mode, include, exclude, ...])

!!! abstract "Usage Documentation"

model_dump_json(*[, indent, ensure_ascii, ...])

!!! abstract "Usage Documentation"

model_json_schema(by_alias, ref_template, ...)

Generates a JSON schema for a model class.

model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

model_post_init(context, /)

This function is meant to behave like a BaseModel method to initialize private attributes.

model_rebuild(*[, force, raise_errors, ...])

Try to rebuild the pydantic-core schema for the model.

model_validate(obj, *[, strict, extra, ...])

Validate a pydantic model instance.

model_validate_json(json_data, *[, strict, ...])

!!! abstract "Usage Documentation"

model_validate_strings(obj, *[, strict, ...])

Validate the given object with string data against the Pydantic model.

parse_file(path, *[, content_type, ...])

parse_obj(obj)

parse_raw(b, *[, content_type, encoding, ...])

schema([by_alias, ref_template])

schema_json(*[, by_alias, ref_template])

update_forward_refs(**localns)

validate(value)

xml([exclude_none, exclude_read_only])

Generate a Jamf Pro XML representation of the model.

Attributes

model_computed_fields

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_extra

Get extra fields set during validation.

model_fields

model_fields_set

Returns the set of fields that have been explicitly set on this model instance.

id

name

site

criteria

display_fields

computers