luna_lambda_tools.public.handlers.schemas.EventSource

final class luna_lambda_tools.public.handlers.schemas.EventSource(**data)

Event source schema

__init__(**data)

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.

__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
asDict()	Get data from initialized model :rtype: dict :returns: dict with snake_case keys
construct(cls[, _fields_set])	rtype: Model
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])	rtype: typing.Dict[str, Any]
from_orm(cls, obj)	rtype: Model
json(*[, include, exclude, by_alias, ...])	rtype: str
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump_json
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(_BaseModel__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, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	Validate the given JSON data against the Pydantic model.
model_validate_strings(obj, *[, strict, context])	Validate the given object contains string data against the Pydantic model.
parse_file(cls, path, *[, content_type, ...])	rtype: Model
parse_obj(cls, obj)	rtype: Model
parse_raw(cls, b, *[, content_type, ...])	rtype: Model
schema(cls[, by_alias, ref_template])	rtype: Dict[str, Any]
schema_json(cls, *[, by_alias, ref_template])	rtype: str
update_forward_refs(cls, **localns)	rtype: None
validate(cls, value)	rtype: Model

Attributes

model_computed_fields	Get the computed fields of this model instance.
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	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
model_fields_set	Returns the set of fields that have been set on this model instance.
sourceData
body
bodyMeta
filename
sourceType
faceBoundingBoxes
bodyBoundingBoxes
detectTime
detectTs
imageOrigin