stravalib.model.DetailedAthlete

class stravalib.model.DetailedAthlete(*, bound_client: Any | None = None, id: int | None = None, city: str | None = None, country: str | None = None, created_at: datetime | None = None, firstname: str | None = None, lastname: str | None = None, premium: bool | None = None, profile: str | None = None, profile_medium: str | None = None, resource_state: int | None = None, sex: Literal['M', 'F'] | None = None, state: str | None = None, summit: bool | None = None, updated_at: datetime | None = None, bikes: Sequence[SummaryGear] | None = None, clubs: Sequence[SummaryClub] | None = None, follower_count: int | None = None, friend_count: int | None = None, ftp: int | None = None, measurement_preference: Literal['feet', 'meters'] | None = None, shoes: Sequence[SummaryGear] | None = None, weight: float | None = None, athlete_type: Literal['cyclist', 'runner'] | None = None, friend: str | None = None, follower: str | None = None, approve_followers: bool | None = None, badge_type_id: int | None = None, mutual_friend_count: int | None = None, date_preference: str | None = None, email: str | None = None, super_user: bool | None = None, email_language: str | None = None, max_heartrate: float | None = None, username: str | None = None, description: str | None = None, instagram_username: str | None = None, offer_in_app_payment: bool | None = None, global_privacy: bool | None = None, receive_newsletter: bool | None = None, email_kom_lost: bool | None = None, dateofbirth: date | None = None, facebook_sharing_enabled: bool | None = None, profile_original: str | None = None, premium_expiration_date: int | None = None, email_send_follower_notices: bool | None = None, plan: str | None = None, agreed_to_terms: str | None = None, follower_request_count: int | None = None, email_facebook_twitter_friend_joins: bool | None = None, receive_kudos_emails: bool | None = None, receive_follower_feed_emails: bool | None = None, receive_comment_emails: bool | None = None, sample_race_distance: int | None = None, sample_race_time: int | None = None, membership: str | None = None, admin: bool | None = None, owner: bool | None = None, subscription_permissions: Sequence[bool] | None = None)

Represents high level athlete information including their name, email, clubs they belong to, bikes, shoes, etc.

Notes

Also provides access to detailed athlete stats upon request. Many attributes in this object are undocumented by Strava and could be modified at any time.

__init__(**data: Any) → None

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

_calculate_keys(*args, **kwargs)
_copy_and_set_values(*args, **kwargs)
_get_value(*args, **kwargs)
_iter(*args, **kwargs)
_setattr_handler(name, value)	Get a handler for setting an attribute on the model instance.
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, /)	Override this method to perform additional initialization after __init__ and model_construct.
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])
to_str_representation(raw_type)	Replaces legacy 'ChoicesAttribute' class.
update_forward_refs(**localns)
validate(value)

Attributes

_abc_impl
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.
stats	Grabs statistics for an (authenticated) athlete.
clubs	The athlete's clubs.
athlete_type
friend
follower
approve_followers
badge_type_id
mutual_friend_count
date_preference
email
super_user
email_language
max_heartrate
username
description
instagram_username
offer_in_app_payment
global_privacy
receive_newsletter
email_kom_lost
dateofbirth
facebook_sharing_enabled
profile_original
premium_expiration_date
email_send_follower_notices
plan
agreed_to_terms
follower_request_count
email_facebook_twitter_friend_joins
receive_kudos_emails
receive_follower_feed_emails
receive_comment_emails
sample_race_distance
sample_race_time
membership
admin	Indicates if the athlete has admin privileges.
owner
subscription_permissions
resource_state	1 -> "meta", 2 -> "summary", 3 -> "detail"
bikes	The athlete's bikes.
follower_count	The athlete's follower count.
friend_count	The athlete's friend count.
ftp	The athlete's FTP (Functional Threshold Power).
measurement_preference	The athlete's preferred unit system.
shoes	The athlete's shoes.
weight	The athlete's weight.
city	The athlete's city.
country	The athlete's country.
created_at	The time at which the athlete was created.
firstname	The athlete's first name.
lastname	The athlete's last name.
premium	Deprecated.
profile	URL to a 124x124 pixel profile picture.
profile_medium	URL to a 62x62 pixel profile picture.
sex	The athlete's sex.
state	The athlete's state or geographical region.
summit	Whether the athlete has any Summit subscription.
updated_at	The time at which the athlete was last updated.
id	The unique identifier of the athlete
bound_client

admin: bool | None

Indicates if the athlete has admin privileges.

agreed_to_terms: str | None

approve_followers: bool | None

athlete_type: Literal['cyclist', 'runner'] | None

badge_type_id: int | None

bikes

The athlete’s bikes.

bound_client

city

The athlete’s city.

clubs: Sequence[SummaryClub] | None

The athlete’s clubs.

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → Self

copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → Self

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`python {test="skip" lint="skip"} data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

country

The athlete’s country.

created_at

The time at which the athlete was created.

date_preference: str | None

dateofbirth: date | None

description: str | None

dict(*, include: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, exclude: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]

email: str | None

email_facebook_twitter_friend_joins: bool | None

email_kom_lost: bool | None

email_language: str | None

email_send_follower_notices: bool | None

facebook_sharing_enabled: bool | None

firstname

The athlete’s first name.

follower: str | None

follower_count

The athlete’s follower count.

follower_request_count: int | None

friend: str | None

friend_count

The athlete’s friend count.

classmethod from_orm(obj: Any) → Self

ftp

The athlete’s FTP (Functional Threshold Power).

global_privacy: bool | None

id

The unique identifier of the athlete

instagram_username: str | None

json(*, include: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, exclude: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str

lastname

The athlete’s last name.

max_heartrate: float | None

measurement_preference

The athlete’s preferred unit system.

membership: str | None

model_computed_fields = {}

model_config = {}

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

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → Self

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

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == ‘allow’, then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == ‘ignore’ (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == ‘forbid’ does not result in an error if extra values are passed, but they will be ignored.

Parameters:

• _fields_set – A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.

• values – Trusted or pre-validated data dictionary.

Returns:

A new instance of the Model class with validated data.

model_copy(*, update: Mapping[str, Any] | None = None, deep: bool = False) → Self

!!! abstract “Usage Documentation”

[model_copy](../concepts/models.md#model-copy)

Returns a copy of the model.

!!! note

The underlying instance’s [__dict__][object.__dict__] attribute is copied. This might have unexpected side effects if you store anything in it, on top of the model fields (e.g. the value of [cached properties][functools.cached_property]).

Parameters:

• update – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep – Set to True to make a deep copy of the model.

Returns:

New model instance.

model_dump(*, mode: Literal['json', 'python'] | str = 'python', include: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, exclude: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal['none', 'warn', 'error'] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]

!!! abstract “Usage Documentation”

[model_dump](../concepts/serialization.md#python-mode)

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

• mode – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include – A set of fields to include in the output.

• exclude – A set of fields to exclude from the output.

• context – Additional context to pass to the serializer.

• by_alias – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset – Whether to exclude fields that have not been explicitly set.

• exclude_defaults – Whether to exclude fields that are set to their default value.

• exclude_none – Whether to exclude fields that have a value of None.

• exclude_computed_fields – Whether to exclude computed fields. While this can be useful for round-tripping, it is usually recommended to use the dedicated round_trip parameter instead.

• round_trip – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• fallback – A function to call when an unknown value is encountered. If not provided, a [PydanticSerializationError][pydantic_core.PydanticSerializationError] error is raised.

• serialize_as_any – Whether to serialize fields with duck-typing serialization behavior.

• polymorphic_serialization – Whether to use model and dataclass polymorphic serialization for this call.

Returns:

A dictionary representation of the model.

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, exclude: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal['none', 'warn', 'error'] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str

!!! abstract “Usage Documentation”

[model_dump_json](../concepts/serialization.md#json-mode)

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

• indent – Indentation to use in the JSON output. If None is passed, the output will be compact.

• ensure_ascii – If True, the output is guaranteed to have all incoming non-ASCII characters escaped. If False (the default), these characters will be output as-is.

• include – Field(s) to include in the JSON output.

• exclude – Field(s) to exclude from the JSON output.

• context – Additional context to pass to the serializer.

• by_alias – Whether to serialize using field aliases.

• exclude_unset – Whether to exclude fields that have not been explicitly set.

• exclude_defaults – Whether to exclude fields that are set to their default value.

• exclude_none – Whether to exclude fields that have a value of None.

• exclude_computed_fields – Whether to exclude computed fields. While this can be useful for round-tripping, it is usually recommended to use the dedicated round_trip parameter instead.

• round_trip – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• fallback – A function to call when an unknown value is encountered. If not provided, a [PydanticSerializationError][pydantic_core.PydanticSerializationError] error is raised.

• serialize_as_any – Whether to serialize fields with duck-typing serialization behavior.

• polymorphic_serialization – Whether to use model and dataclass polymorphic serialization for this call.

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to “allow”.

model_fields = {'admin': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'agreed_to_terms': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'approve_followers': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'athlete_type': FieldInfo(annotation=Union[Literal['cyclist', 'runner'], NoneType], required=False, default=None), 'badge_type_id': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'bikes': FieldInfo(annotation=Union[Sequence[SummaryGear], NoneType], required=False, default=None), 'bound_client': FieldInfo(annotation=Union[Any, NoneType], required=False, default=None, exclude=True), 'city': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'clubs': FieldInfo(annotation=Union[Sequence[SummaryClub], NoneType], required=False, default=None), 'country': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'date_preference': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'dateofbirth': FieldInfo(annotation=Union[date, NoneType], required=False, default=None), 'description': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'email': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'email_facebook_twitter_friend_joins': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'email_kom_lost': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'email_language': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'email_send_follower_notices': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'facebook_sharing_enabled': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'firstname': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'follower': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'follower_count': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'follower_request_count': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'friend': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'friend_count': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'ftp': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'global_privacy': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'instagram_username': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'lastname': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'max_heartrate': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'measurement_preference': FieldInfo(annotation=Union[Literal['feet', 'meters'], NoneType], required=False, default=None), 'membership': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'mutual_friend_count': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'offer_in_app_payment': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'owner': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'plan': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'premium': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'premium_expiration_date': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'profile': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'profile_medium': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'profile_original': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'receive_comment_emails': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'receive_follower_feed_emails': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'receive_kudos_emails': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'receive_newsletter': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'resource_state': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'sample_race_distance': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'sample_race_time': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'sex': FieldInfo(annotation=Union[Literal['M', 'F'], NoneType], required=False, default=None), 'shoes': FieldInfo(annotation=Union[Sequence[SummaryGear], NoneType], required=False, default=None), 'state': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'subscription_permissions': FieldInfo(annotation=Union[Sequence[bool], NoneType], required=False, default=None), 'summit': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'super_user': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'updated_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'username': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'weight': FieldInfo(annotation=Union[float, NoneType], required=False, default=None)}

property model_fields_set: set[str]

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

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias: bool = True, ref_template: str = '#/$defs/{model}', schema_generator: type[GenerateJsonSchema] = <class 'pydantic.json_schema.GenerateJsonSchema'>, mode: Literal['validation', 'serialization']='validation', *, union_format: Literal['any_of', 'primitive_type_array']='any_of') → dict[str, Any]

Generates a JSON schema for a model class.

Parameters:

• by_alias – Whether to use attribute aliases or not.

• ref_template – The reference template.

• union_format –

  The format to use when combining schemas from unions together. Can be one of:

  • ’any_of’: Use the [anyOf](https://json-schema.org/understanding-json-schema/reference/combining#anyOf)

  keyword to combine schemas (the default). - ‘primitive_type_array’: Use the [type](https://json-schema.org/understanding-json-schema/reference/type) keyword as an array of strings, containing each type of the combination. If any of the schemas is not a primitive type (string, boolean, null, integer or number) or contains constraints/metadata, falls back to any_of.

• schema_generator – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode – The mode in which to generate the schema.

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

params – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(context: Any, /) → None

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: MappingNamespace | None = None) → bool | None

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

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

• force – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors – Whether to raise errors, defaults to True.

• _parent_namespace_depth – The depth level of the parent namespace, defaults to 2.

• _types_namespace – The types namespace, defaults to None.

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: Literal['allow', 'ignore', 'forbid'] | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → Self

Validate a pydantic model instance.

Parameters:

• obj – The object to validate.

• strict – Whether to enforce types strictly.

• extra – Whether to ignore, allow, or forbid extra data during model validation. See the [extra configuration value][pydantic.ConfigDict.extra] for details.

• from_attributes – Whether to extract data from object attributes.

• context – Additional context to pass to the validator.

• by_alias – Whether to use the field’s alias when validating against the provided input data.

• by_name – Whether to use the field’s name when validating against the provided input data.

Raises:

ValidationError – If the object could not be validated.

Returns:

The validated model instance.

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: Literal['allow', 'ignore', 'forbid'] | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → Self

!!! abstract “Usage Documentation”

[JSON Parsing](../concepts/json.md#json-parsing)

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data – The JSON data to validate.

• strict – Whether to enforce types strictly.

• extra – Whether to ignore, allow, or forbid extra data during model validation. See the [extra configuration value][pydantic.ConfigDict.extra] for details.

• context – Extra variables to pass to the validator.

• by_alias – Whether to use the field’s alias when validating against the provided input data.

• by_name – Whether to use the field’s name when validating against the provided input data.

Returns:

The validated Pydantic model.

Raises:

ValidationError – If json_data is not a JSON string or the object could not be validated.

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: Literal['allow', 'ignore', 'forbid'] | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → Self

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

Parameters:

• obj – The object containing string data to validate.

• strict – Whether to enforce types strictly.

• extra – Whether to ignore, allow, or forbid extra data during model validation. See the [extra configuration value][pydantic.ConfigDict.extra] for details.

• context – Extra variables to pass to the validator.

• by_alias – Whether to use the field’s alias when validating against the provided input data.

• by_name – Whether to use the field’s name when validating against the provided input data.

Returns:

The validated Pydantic model.

mutual_friend_count: int | None

offer_in_app_payment: bool | None

owner: bool | None

classmethod parse_file(path: str | Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: DeprecatedParseProtocol | None = None, allow_pickle: bool = False) → Self

classmethod parse_obj(obj: Any) → Self

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: DeprecatedParseProtocol | None = None, allow_pickle: bool = False) → Self

plan: str | None

premium

Deprecated. Use summit field instead. Whether the athlete has any Summit subscription.

premium_expiration_date: int | None

profile

URL to a 124x124 pixel profile picture.

profile_medium

URL to a 62x62 pixel profile picture.

profile_original: str | None

receive_comment_emails: bool | None

receive_follower_feed_emails: bool | None

receive_kudos_emails: bool | None

receive_newsletter: bool | None

resource_state

1 -> “meta”, 2 -> “summary”, 3 -> “detail”

Type:

Resource state, indicates level of detail. Possible values

sample_race_distance: int | None

sample_race_time: int | None

classmethod schema(by_alias: bool = True, ref_template: str = '#/$defs/{model}') → Dict[str, Any]

classmethod schema_json(*, by_alias: bool = True, ref_template: str = '#/$defs/{model}', **dumps_kwargs: Any) → str

sex

The athlete’s sex.

shoes

The athlete’s shoes.

state

The athlete’s state or geographical region.

property stats: AthleteStats

Grabs statistics for an (authenticated) athlete.

Return type:

Associated stravalib.model.AthleteStats

Raises:

• stravalib.exc.NotAuthenticatedAthlete –

• missing. –

subscription_permissions: Sequence[bool] | None

summit

Whether the athlete has any Summit subscription.

super_user: bool | None

classmethod to_str_representation(raw_type: int) → Literal['cyclist', 'runner'] | None

Replaces legacy ‘ChoicesAttribute’ class.

Parameters:

raw_type (int) – The raw integer representing the athlete type.

Returns:

The string representation of the athlete type.

Return type:

str

classmethod update_forward_refs(**localns: Any) → None

updated_at

The time at which the athlete was last updated.

username: str | None

classmethod validate(value: Any) → Self

weight

The athlete’s weight.