aiq.data_models.config#

Attributes#

`TelemetryConfig`
`GeneralConfig`
`AIQConfig`	Subclass of a Pydantic BaseModel that is hashable. Use in objects that need to be hashed for caching purposes.

_process_validation_error( err: pydantic.ValidationError, handler: pydantic.ValidatorFunctionWrapHandler, info: pydantic.ValidationInfo, )#

class TelemetryConfig(/, **data: Any)#

Bases: pydantic.BaseModel

tracing: dict[str, aiq.data_models.telemetry_exporter.TelemetryExporterBaseConfig]#

classmethod validate_components( value: Any, handler: pydantic.ValidatorFunctionWrapHandler, info: pydantic.ValidationInfo, )#

class GeneralConfig(/, **data: Any)#

Bases: pydantic.BaseModel

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

use_uvloop: bool = True#: Whether to use uvloop for the event loop. This can provide a significant speedup in some cases. Disable to provide better error messages when debugging.

classmethod validate_components( value: Any, handler: pydantic.ValidatorFunctionWrapHandler, info: pydantic.ValidationInfo, )#

class AIQConfig(/, **data: Any)#

Subclass of a Pydantic BaseModel that is hashable. Use in objects that need to be hashed for caching purposes.

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.

self is explicitly positional-only to allow self as a field name.

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

print_summary(stream: TextIO = sys.stdout)#: Print a summary of the configuration

classmethod validate_components( value: Any, handler: pydantic.ValidatorFunctionWrapHandler, info: pydantic.ValidationInfo, )#