luna_lambda_tools.public.handlers.schemas.EventSource

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

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