qat.core.config.session module

class QatSessionConfig(_case_sensitive=None, _nested_model_default_partial_update=None, _env_prefix=None, _env_file=PosixPath('.'), _env_file_encoding=None, _env_ignore_empty=None, _env_nested_delimiter=None, _env_nested_max_split=None, _env_parse_none_str=None, _env_parse_enums=None, _cli_prog_name=None, _cli_parse_args=None, _cli_settings_source=None, _cli_parse_none_str=None, _cli_hide_none_type=None, _cli_avoid_json=None, _cli_enforce_required=None, _cli_use_class_docs_for_groups=None, _cli_exit_on_error=None, _cli_prefix=None, _cli_flag_prefix_char=None, _cli_implicit_flags=None, _cli_ignore_unknown_args=None, _cli_kebab_case=None, _cli_shortcuts=None, _secrets_dir=None, **values)

Bases: QatConfig

Configuration for QAT() sessions extending qat.purr.qatconfig configuration.

>>> import os
>>> os.environ["QAT_MAX_REPEATS_LIMIT"] = "654321"
>>> QatSessionConfig() 
QatSessionConfig(MAX_REPEATS_LIMIT=654321, ...)
>>> QatSessionConfig(MAX_REPEATS_LIMIT=123) 
QatSessionConfig(MAX_REPEATS_LIMIT=123, ...)
>>> del os.environ["QAT_MAX_REPEATS_LIMIT"]
>>> qatconfig = QatSessionConfig()
>>> qatconfig.MAX_REPEATS_LIMIT = 16000
>>> qatconfig 
QatSessionConfig(MAX_REPEATS_LIMIT=16000, ...)
>>> QatSessionConfig(MAX_REPEATS_LIMIT=100.5) 
Traceback (most recent call last):
...
pydantic_core._pydantic_core.ValidationError
...
Input should be a valid integer, got a number with a fractional part

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.

EXTENSIONS: list[ImportString]

QAT Extensions to initialise on start-up

HARDWARE: list[HardwareLoaderDescription]

QAT Hardware Models to load on start-up

PIPELINES: list[PipelineInstanceDescription | UpdateablePipelineDescription | PipelineFactoryDescription | PipelineClassDescription] | None

QAT Pipelines to add on start-up, None adds default pipelines

classmethod from_yaml(path)
load_extensions()
classmethod matching_hardware_loaders(pipelines, info)
model_config: ClassVar[SettingsConfigDict] = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': '_', 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'QAT_', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_assignment': True, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': 'qatconfig.yaml', 'yaml_file_encoding': None}

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

classmethod one_default(v)