mxcubecore.model.procedure_model#

Classes

BaseModel(*args)

MockDataModel(*args[, transmission, energy, ...])

Example DataModel used by the MockProcedure (for testing)

Exceptions

class mxcubecore.model.procedure_model.BaseModel(*args)[source]#

Bases: BaseModel

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}#

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}#

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {}#

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

class mxcubecore.model.procedure_model.MockDataModel(*args, transmission: float = 0, energy: float = 0, resolution: float = 0, exposure_time: float = 0, number_of_images: float = 0)[source]#

Bases: BaseModel

Example DataModel used by the MockProcedure (for testing)

Parameters:
model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}#

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}#

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[dict[str, FieldInfo]] = {'energy': FieldInfo(annotation=float, required=False, default=0), 'exposure_time': FieldInfo(annotation=float, required=False, default=0), 'number_of_images': FieldInfo(annotation=float, required=False, default=0), 'resolution': FieldInfo(annotation=float, required=False, default=0), 'transmission': FieldInfo(annotation=float, required=False, default=0)}#

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

exception mxcubecore.model.procedure_model.ValidationError[source]#

Bases: Exception