stravalib.model.SummaryClub#

pydantic model stravalib.model.SummaryClub[source]#

Represents a single club with detailed information about the club including the club’s location, activity types, etc.

See also

DetailedClub

A class representing a club’s detailed information.

Notes

Clubs are the only object that can have multiple valid activity_types. Activities only have one.

Endpoint docs are found here: https://developers.strava.com/docs/reference/#api-models-SummaryClub

Show JSON schema
{
   "title": "SummaryClub",
   "description": "Represents a single club with detailed information about the club including\nthe club's location, activity types, etc.\n\nSee Also\n--------\nDetailedClub : A class representing a club's detailed information.\n\nNotes\n-----\nClubs are the only object that can have multiple valid\n`activity_types`. Activities only have one.\n\nEndpoint docs are found here:\nhttps://developers.strava.com/docs/reference/#api-models-SummaryClub",
   "type": "object",
   "properties": {
      "bound_client": {
         "anyOf": [
            {},
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Bound Client"
      },
      "id": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Id"
      },
      "name": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Name"
      },
      "resource_state": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Resource State"
      },
      "activity_types": {
         "anyOf": [
            {
               "items": {
                  "$ref": "#/$defs/ActivityType"
               },
               "type": "array"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Activity Types"
      },
      "city": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "City"
      },
      "country": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Country"
      },
      "cover_photo": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Cover Photo"
      },
      "cover_photo_small": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Cover Photo Small"
      },
      "featured": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Featured"
      },
      "member_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Member Count"
      },
      "private": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Private"
      },
      "profile_medium": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Profile Medium"
      },
      "sport_type": {
         "anyOf": [
            {
               "enum": [
                  "cycling",
                  "running",
                  "triathlon",
                  "other"
               ],
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Sport Type"
      },
      "state": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "State"
      },
      "url": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Url"
      },
      "verified": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Verified"
      },
      "profile": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Profile"
      },
      "description": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Description"
      },
      "club_type": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Club Type"
      }
   },
   "$defs": {
      "ActivityType": {
         "enum": [
            "AlpineSki",
            "BackcountrySki",
            "Canoeing",
            "Crossfit",
            "EBikeRide",
            "Elliptical",
            "Golf",
            "Handcycle",
            "Hike",
            "IceSkate",
            "InlineSkate",
            "Kayaking",
            "Kitesurf",
            "NordicSki",
            "Ride",
            "RockClimbing",
            "RollerSki",
            "Rowing",
            "Run",
            "Sail",
            "Skateboard",
            "Snowboard",
            "Snowshoe",
            "Soccer",
            "StairStepper",
            "StandUpPaddling",
            "Surfing",
            "Swim",
            "Velomobile",
            "VirtualRide",
            "VirtualRun",
            "Walk",
            "WeightTraining",
            "Wheelchair",
            "Windsurf",
            "Workout",
            "Yoga"
         ],
         "title": "ActivityType",
         "type": "string"
      }
   }
}

Fields:
property activities: BatchedResultsIterator[ClubActivity]#

Lazy property to retrieve club activities.

Returns:

An iterator of Activity objects representing club activities.

Return type:

Iterator

field activity_types: Sequence[ActivityType] | None = None#

The activity types that count for a club. This takes precedence over sport_type.

field bound_client: Any | None = None#
field city: str | None = None#

The club’s city.

field club_type: str | None = None#
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:

`py 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.

field country: str | None = None#

The club’s country.

field cover_photo: str | None = None#

URL to a ~1185x580 pixel cover photo.

field cover_photo_small: str | None = None#

URL to a ~360x176 pixel cover photo.

field description: str | None = None#
dict(*, include: Set[int] | Set[str] | Mapping[int, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | None = None, exclude: Set[int] | Set[str] | Mapping[int, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]#
field featured: bool | None = None#

Whether the club is featured or not.

classmethod from_orm(obj: Any) → Self#
field id: int | None = None#

The club’s unique identifier.

json(*, include: Set[int] | Set[str] | Mapping[int, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | None = None, exclude: Set[int] | Set[str] | Mapping[int, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | 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#
field member_count: int | None = None#

The club’s member count.

property members: BatchedResultsIterator[strava_model.ClubAthlete]#

Lazy property to retrieve club members stored as Athlete objects.

Returns:

A list of club members stored as Athlete objects.

Return type:

List

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: dict[str, Any] | None = None, deep: bool = False) → Self#

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy

Returns a copy of the model.

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 | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | None = None, exclude: Set[int] | Set[str] | Mapping[int, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | Mapping[str, Set[int] | Set[str] | Mapping[int, IncEx | Literal[True]] | Mapping[str, IncEx | Literal[True]] | Literal[True]] | None = None, context: Any | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, round_trip: bool = False, warnings: bool | Literal['none', 'warn', 'error'] = True, serialize_as_any: bool = False) → dict[str, Any]#

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump

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.

  • 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].

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

Returns:

A dictionary representation of the model.

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

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json

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.

  • 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.

  • 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].

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

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”.

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[~pydantic.json_schema.GenerateJsonSchema] = <class 'pydantic.json_schema.GenerateJsonSchema'>, mode: ~typing.Literal['validation', 'serialization'] = 'validation') → 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.

  • 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(_BaseModel__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: dict[str, Any] | 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, from_attributes: bool | None = None, context: Any | None = None) → Self#

Validate a pydantic model instance.

Parameters:

  • obj – The object to validate.

  • strict – Whether to enforce types strictly.

  • from_attributes – Whether to extract data from object attributes.

  • context – Additional context to pass to the validator.

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, context: Any | None = None) → Self#

Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#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.

  • context – Extra variables to pass to the validator.

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, context: Any | 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.

  • context – Extra variables to pass to the validator.

Returns:

The validated Pydantic model.

field name: str | None = None#

The club’s name.

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#
field private: bool | None = None#

Whether the club is private.

field profile: str | None = None#
field profile_medium: str | None = None#

URL to a 60x60 pixel profile picture.

field resource_state: int | None = None#

Resource state, indicates level of detail. Possible values: 1 -> “meta”, 2 -> “summary”, 3 -> “detail”

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#
field sport_type: Literal['cycling', 'running', 'triathlon', 'other'] | None = None#

Deprecated. Prefer to use activity_types.

field state: str | None = None#

The club’s state or geographical region.

classmethod update_forward_refs(**localns: Any) → None#
field url: str | None = None#

The club’s vanity URL.

classmethod validate(value: Any) → Self#
field verified: bool | None = None#

Whether the club is verified or not.