nrel.hive.config

Submodules

Package Contents

Classes

HiveConfig

Typed version of namedtuple.
class nrel.hive.config.HiveConfig[source]

Bases: NamedTuple

Typed version of namedtuple.

Usage in Python versions >= 3.6:

class Employee(NamedTuple):
    name: str
    id: int

This is equivalent to:

Employee = collections.namedtuple('Employee', ['name', 'id'])

The resulting class has an extra __annotations__ attribute, giving a dict that maps field names to types. (The field names are also in the _fields attribute, which is part of the namedtuple API.) Alternative equivalent keyword syntax is also accepted:

Employee = NamedTuple('Employee', name=str, id=int)

In Python versions <= 3.5 use:

Employee = NamedTuple('Employee', [('name', str), ('id', int)])
global_config: nrel.hive.config.global_config.GlobalConfig
input_config: nrel.hive.config.input.Input
sim: nrel.hive.config.sim.Sim
network: nrel.hive.config.network.Network
dispatcher: nrel.hive.config.dispatcher_config.DispatcherConfig
scenario_output_directory: pathlib.Path
classmethod build(scenario_file_path: pathlib.Path, config: Dict | None = None, output_suffix: str | None = None) → Exception | HiveConfig[source]

builds a hive config by reading from a scenario file. optionally append additional key/value pairs and modify the datetime convention for naming output directories. :param scenario_file_path: path to the file to load as a HiveConfig :param config: optional overrides to the default config values (Default: None) :param output_suffix: directory name suffix to append to sim_name (by default, timestamp) :return: a hive config or an error

classmethod from_dict(d: Dict, scenario_file_path: pathlib.Path, output_suffix: str | None) → HiveConfig[source]
asdict() → Dict[source]
set_scenario_output_directory(output_directory: pathlib.Path) → HiveConfig[source]
suppress_logging() → HiveConfig[source]
to_yaml()[source]

writes this configuration as a file in the scenario output directory