stravalib.model.SummaryActivity#

pydantic model stravalib.model.SummaryActivity[source]#

The Activity object that contains high level summary activity for an activity.

Notes

In the case that the Strava spec is misaligned with the data actually returned, we override attributes as needed.

Show JSON schema

{
   "title": "SummaryActivity",
   "description": "The Activity object that contains high level summary activity for an\nactivity.\n\nNotes\n-----\nIn the case that the Strava spec is misaligned with the data actually\nreturned, we override attributes as needed.",
   "type": "object",
   "properties": {
      "bound_client": {
         "anyOf": [
            {},
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Bound Client"
      },
      "id": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Id"
      },
      "achievement_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Achievement Count"
      },
      "athlete": {
         "anyOf": [
            {
               "$ref": "#/$defs/MetaAthlete"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "athlete_count": {
         "anyOf": [
            {
               "minimum": 1,
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Athlete Count"
      },
      "average_speed": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Average Speed"
      },
      "average_watts": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Average Watts"
      },
      "comment_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Comment Count"
      },
      "commute": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Commute"
      },
      "device_watts": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Device Watts"
      },
      "distance": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Distance"
      },
      "elapsed_time": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Elapsed Time"
      },
      "elev_high": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Elev High"
      },
      "elev_low": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Elev Low"
      },
      "end_latlng": {
         "anyOf": [
            {
               "$ref": "#/$defs/LatLon"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "external_id": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "External Id"
      },
      "flagged": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Flagged"
      },
      "gear_id": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Gear Id"
      },
      "has_kudoed": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Has Kudoed"
      },
      "hide_from_home": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Hide From Home"
      },
      "kilojoules": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Kilojoules"
      },
      "kudos_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Kudos Count"
      },
      "manual": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Manual"
      },
      "map": {
         "anyOf": [
            {
               "$ref": "#/$defs/Map"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "max_speed": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Max Speed"
      },
      "max_watts": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Max Watts"
      },
      "moving_time": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Moving Time"
      },
      "name": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Name"
      },
      "photo_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Photo Count"
      },
      "private": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Private"
      },
      "sport_type": {
         "anyOf": [
            {
               "$ref": "#/$defs/RelaxedSportType"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "start_date": {
         "anyOf": [
            {
               "format": "date-time",
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Start Date"
      },
      "start_date_local": {
         "anyOf": [
            {
               "format": "date-time",
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Start Date Local"
      },
      "start_latlng": {
         "anyOf": [
            {
               "$ref": "#/$defs/LatLon"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "timezone": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Timezone"
      },
      "total_elevation_gain": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Total Elevation Gain"
      },
      "total_photo_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Total Photo Count"
      },
      "trainer": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Trainer"
      },
      "type": {
         "anyOf": [
            {
               "$ref": "#/$defs/RelaxedActivityType"
            },
            {
               "type": "null"
            }
         ],
         "default": null
      },
      "upload_id": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Upload Id"
      },
      "upload_id_str": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Upload Id Str"
      },
      "weighted_average_watts": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Weighted Average Watts"
      },
      "workout_type": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Workout Type"
      },
      "utc_offset": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Utc Offset"
      },
      "location_city": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Location City"
      },
      "location_state": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Location State"
      },
      "location_country": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Location Country"
      },
      "pr_count": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Pr Count"
      },
      "suffer_score": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Suffer Score"
      },
      "has_heartrate": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Has Heartrate"
      },
      "average_heartrate": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Average Heartrate"
      },
      "max_heartrate": {
         "anyOf": [
            {
               "type": "integer"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Max Heartrate"
      },
      "average_cadence": {
         "anyOf": [
            {
               "type": "number"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Average Cadence"
      },
      "from_accepted_tag": {
         "anyOf": [
            {
               "type": "boolean"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "From Accepted Tag"
      },
      "visibility": {
         "anyOf": [
            {
               "type": "string"
            },
            {
               "type": "null"
            }
         ],
         "default": null,
         "title": "Visibility"
      }
   },
   "$defs": {
      "LatLon": {
         "description": "Stores lat / lon values or None.",
         "items": {
            "type": "number"
         },
         "maxItems": 2,
         "minItems": 2,
         "title": "LatLon",
         "type": "array"
      },
      "Map": {
         "description": "Pass through object. Inherits from PolyLineMap",
         "properties": {
            "id": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Id"
            },
            "polyline": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Polyline"
            },
            "summary_polyline": {
               "anyOf": [
                  {
                     "type": "string"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Summary Polyline"
            }
         },
         "title": "Map",
         "type": "object"
      },
      "MetaAthlete": {
         "description": "Represents an identifiable athlete with lazily loaded property to obtain\nthis athlete's summary stats.",
         "properties": {
            "bound_client": {
               "anyOf": [
                  {},
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Bound Client"
            },
            "id": {
               "anyOf": [
                  {
                     "type": "integer"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Id"
            },
            "resource_state": {
               "anyOf": [
                  {
                     "type": "integer"
                  },
                  {
                     "type": "null"
                  }
               ],
               "default": null,
               "title": "Resource State"
            }
         },
         "title": "MetaAthlete",
         "type": "object"
      },
      "RelaxedActivityType": {
         "description": "This object supports allowing an array of Literal values to be used for\nActivity Type. by default, the generated `strava_model` module only allows\na Literal that includes types: `Ride` and `Run`.",
         "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": "RelaxedActivityType",
         "type": "string"
      },
      "RelaxedSportType": {
         "description": "A class that extends the list of Literal values allowed for Sport Types\nthat are defined in the generated `strava_model` module.",
         "enum": [
            "AlpineSki",
            "BackcountrySki",
            "Badminton",
            "Canoeing",
            "Crossfit",
            "EBikeRide",
            "Elliptical",
            "EMountainBikeRide",
            "Golf",
            "GravelRide",
            "Handcycle",
            "HighIntensityIntervalTraining",
            "Hike",
            "IceSkate",
            "InlineSkate",
            "Kayaking",
            "Kitesurf",
            "MountainBikeRide",
            "NordicSki",
            "Pickleball",
            "Pilates",
            "Racquetball",
            "Ride",
            "RockClimbing",
            "RollerSki",
            "Rowing",
            "Run",
            "Sail",
            "Skateboard",
            "Snowboard",
            "Snowshoe",
            "Soccer",
            "Squash",
            "StairStepper",
            "StandUpPaddling",
            "Surfing",
            "Swim",
            "TableTennis",
            "Tennis",
            "TrailRun",
            "Velomobile",
            "VirtualRide",
            "VirtualRow",
            "VirtualRun",
            "Walk",
            "WeightTraining",
            "Wheelchair",
            "Windsurf",
            "Workout",
            "Yoga"
         ],
         "title": "RelaxedSportType",
         "type": "string"
      }
   }
}

Fields:

achievement_count ()
athlete (MetaAthlete | None)
athlete_count ()
average_cadence (float | None)
average_heartrate (float | None)
average_speed (VelocityType | None)
average_watts ()
bound_client ()
comment_count ()
commute ()
device_watts ()
distance (DistanceType | None)
elapsed_time (DurationType | None)
elev_high ()
elev_low ()
end_latlng (LatLon | None)
external_id ()
flagged ()
from_accepted_tag (bool | None)
gear_id ()
has_heartrate (bool | None)
has_kudoed ()
hide_from_home ()
id ()
kilojoules ()
kudos_count ()
location_city (str | None)
location_country (str | None)
location_state (str | None)
manual ()
map (Map | None)
max_heartrate (int | None)
max_speed (VelocityType | None)
max_watts ()
moving_time (DurationType | None)
name ()
photo_count ()
pr_count (int | None)
private ()
sport_type (RelaxedSportType | None)
start_date ()
start_date_local ()
start_latlng (LatLon | None)
suffer_score (int | None)
timezone (TimezoneType | None)
total_elevation_gain (DistanceType | None)
total_photo_count ()
trainer ()
type (RelaxedActivityType | None)
upload_id ()
upload_id_str ()
utc_offset (float | None)
visibility (str | None)
weighted_average_watts ()
workout_type ()

Validators:

field achievement_count: int | None = None#: The number of achievements gained during this activity

field athlete: MetaAthlete | None = None#

field athlete_count: int | None = None#

The number of athletes for taking part in a group activity

Constraints:

ge = 1

field average_cadence: float | None = None#

field average_heartrate: float | None = None#

field average_speed: VelocityType | None = None#: The activity’s average speed, in meters per second

field average_watts: float | None = None#: Average power output in watts during this activity. Rides only

field bound_client: Any | None = None#

field comment_count: int | None = None#: The number of comments for this activity

property comments: BatchedResultsIterator[Comment]#: Retrieves comments for a specific activity id.

field commute: bool | None = None#: Whether this activity is a commute

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

field device_watts: bool | None = None#: Whether the watts are from a power meter, false if estimated

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]#

field distance: DistanceType | None = None#: The activity’s distance, in meters

field elapsed_time: DurationType | None = None#: The activity’s elapsed time, in seconds

field elev_high: float | None = None#: The activity’s highest elevation, in meters

field elev_low: float | None = None#: The activity’s lowest elevation, in meters

field end_latlng: LatLon | None = None#

Validated by:

check_valid_location

field external_id: str | None = None#: The identifier provided at upload time

field flagged: bool | None = None#: Whether this activity is flagged

field from_accepted_tag: bool | None = None#

classmethod from_orm(obj: Any) → Self#

property full_photos: BatchedResultsIterator[ActivityPhoto]#: Retrieves activity photos for a specific activity by id.

field gear_id: str | None = None#: The id of the gear for the activity

field has_heartrate: bool | None = None#

field has_kudoed: bool | None = None#: Whether the logged-in athlete has kudoed this activity

field hide_from_home: bool | None = None#: Whether the activity is muted

field id: int | None = None#: The unique identifier of the activity

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#

field kilojoules: float | None = None#: The total work done in kilojoules during this activity. Rides only

property kudos: BatchedResultsIterator[SummaryAthlete]#: Retrieves the kudos provided for a specific activity.

field kudos_count: int | None = None#: The number of kudos given for this activity

field location_city: str | None = None#

field location_country: str | None = None#

field location_state: str | None = None#

field manual: bool | None = None#: Whether this activity was created manually

field map: Map | None = None#

field max_heartrate: int | None = None#

field max_speed: VelocityType | None = None#: The activity’s max speed, in meters per second

field max_watts: int | None = None#: Rides with power meter data only

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#

Usage docs: https://docs.pydantic.dev/2.10/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.

Usage docs: https://docs.pydantic.dev/2.10/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.

Usage docs: https://docs.pydantic.dev/2.10/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: 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, 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/2.10/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 moving_time: DurationType | None = None#: The activity’s moving time, in seconds

field name: str | None = None#: The name of the activity

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 photo_count: int | None = None#: The number of Instagram photos for this activity

field pr_count: int | None = None#

field private: bool | None = None#: Whether this activity is private

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: RelaxedSportType | None = None#

field start_date: datetime | None = None#: The time at which the activity was started.

field start_date_local: datetime | None = None#: The time at which the activity was started in the local timezone.

field start_latlng: LatLon | None = None#

Validated by:

check_valid_location

field suffer_score: int | None = None#

field timezone: TimezoneType | None = None#: The timezone of the activity

field total_elevation_gain: DistanceType | None = None#: The activity’s total elevation gain.

field total_photo_count: int | None = None#: The number of Instagram and Strava photos for this activity

field trainer: bool | None = None#: Whether this activity was recorded on a training machine

field type: RelaxedActivityType | None = None#: Deprecated. Prefer to use sport_type

classmethod update_forward_refs(**localns: Any) → None#

field upload_id: int | None = None#: The identifier of the upload that resulted in this activity

field upload_id_str: str | None = None#: The unique identifier of the upload in string format

field utc_offset: float | None = None#

classmethod validate(value: Any) → Self#

field visibility: str | None = None#

field weighted_average_watts: int | None = None#: Similar to Normalized Power. Rides with power meter data only

field workout_type: int | None = None#: The activity’s workout type

property zones: list[ActivityZone]#

Retrieve a list of zones for an activity.

Returns:: A list of stravalib.model.ActivityZone objects.
Return type:: list

stravalib.model.SummaryActivity#

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