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fermioniq.emulator_message.EmulatorMessage#

class fermioniq.emulator_message.EmulatorMessage(*, message_type: Literal['event'], event_type: Literal['LOG', 'STARTED', 'FINISHED', 'PING'], ts: str, job_id: str, job_output: str, job_status_code: int | None = -1)#

EmulatorMessage represents a message containing information about an EmulatorJob’s events and status.

Attributes:
message_type

The type of the message, always “event” for EmulatorMessage.

event_type

The type of event associated with the message.

  • ‘LOG’: A log message from the job.

  • ‘STARTED’: The job has started.

  • ‘FINISHED’: The job has finished.

ts

The timestamp of the event in UTC (ISO 8601 format).

job_id

The unique ID of the EmulatorJob.

job_output

The output associated with the event (e.g., log content).

job_status_code

The status code of the job execution.

  • 0: The job completed successfully.

  • -1: The job has not finished yet.

  • Non-zero values: The job encountered an error during execution.

Methods

copy(*[, include, exclude, update, deep])

Returns a copy of the model.

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/2.8/concepts/serialization/#model_copy

model_dump(*[, mode, include, exclude, ...])

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

model_dump_json(*[, indent, include, ...])

Usage docs: https://docs.pydantic.dev/2.8/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, ...])

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

model_validate_strings(obj, *[, strict, context])

Validate the given object with string data against the Pydantic model.

construct

dict

from_orm

json

parse_file

parse_obj

parse_raw

schema

schema_json

update_forward_refs

validate
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