Event

class mss_dataserver.core.validation.Event(*, db_id: pydantic.types.PositiveInt = None, public_id: mss_dataserver.core.validation.ConstrainedStrValue, start_time: mss_dataserver.core.validation.ConstrainedStrValue, end_time: mss_dataserver.core.validation.ConstrainedStrValue, length: mss_dataserver.core.validation.ConstrainedFloatValue, max_pgv: pydantic.types.PositiveFloat, num_detections: pydantic.types.PositiveInt, triggered_stations: List[mss_dataserver.core.validation.ConstrainedStrValue], description: mss_dataserver.core.validation.ConstrainedStrValue = None, comment: mss_dataserver.core.validation.ConstrainedStrValue = None, state: mss_dataserver.core.validation.ConstrainedStrValue = None)

Bases: pydantic.main.BaseModel

The Event validation model.

Properties

fields

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, …])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_orm(obj)
json(*[, include, exclude, by_alias, …])	Generate a JSON representation of the model, include and exclude arguments as per dict().
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_string([pretty])
update_forward_refs(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)

Inheritence diagram