Identification#

class pyinaturalist.models.Identification(id=None, body='', created_at=_Nothing.NOTHING, hidden=None, uuid=None, user=None, category=None, current=None, current_taxon=None, disagreement=None, own_observation=None, previous_observation_taxon_id=None, taxon_change=None, vision=None, taxon=None)#

Bases: Comment

An observation identification, based on the schema of GET /identifications.

Attributes

Name	Type	Description
id	`int`	Unique record ID
body	`str`	Comment text
created_at	`datetime`	Date and time the comment was created
hidden	`bool`	Indicates if the comment is hidden
uuid	`str`	Universally unique identifier
category	`str`	Identification category Options: `improving`, `supporting`, `leading`, `maverick`
current	`bool`	Indicates if the identification is the currently accepted one
current_taxon	`bool`
disagreement	`bool`	Indicates if this identification disagrees with previous ones
own_observation	`bool`	Indicates if the identifier is also the observer
previous_observation_taxon_id	`int`	Previous observation taxon ID
taxon_change	`bool`
vision	`bool`	Indicates if the taxon was selected from computer vision results

taxon_name (`property`)	`str`

taxon (`LazyProperty`)	`Taxon`	Identification taxon

Methods

__init__(id=None, body='', created_at=_Nothing.NOTHING, hidden=None, uuid=None, user=None, category=None, current=None, current_taxon=None, disagreement=None, own_observation=None, previous_observation_taxon_id=None, taxon_change=None, vision=None, taxon=None)#: Method generated by attrs for class Identification.

classmethod copy(obj)#

Copy a model object. This is defined as a classmethod to easily initialize a subclass from a parent class instance. For copying an instance to the same type, copy.deepcopy() can be used.

Return type:: BaseModel

classmethod from_json(value, **kwargs)#

Initialize a single model object from an API response or response result.

Omits any invalid fields and None values, so default factories are used instead (e.g. for empty dicts and lists).

Return type:: TypeVar(T, bound= BaseModel)

classmethod from_json_file(value)#

Initialize a collection of model objects from a JSON string, file path, or file-like object

Return type:: List[TypeVar(T, bound= BaseModel)]

classmethod from_json_list(value, **kwargs)#

Initialize a collection of model objects from an API response or response results

Return type:: List[TypeVar(T, bound= BaseModel)]

to_dict(keys=None, recurse=True)#

Convert this object back to dict format

Parameters:

keys (Optional[List[str]]) – Only keep the specified keys (attribute names)
recurse (bool) – Recurse into nested model objects

Return type:

Dict[str, Any]