Nested config, devices registry

* All config now nested.
    - Use default config from model field default values. If providers
      should be enabled by default, non-empty default config file could
      be provided again.
    - Environment variable support with EOS_ prefix and __ between levels,
      e.g. EOS_SERVER__EOS_SERVER_PORT=8503 where all values are case
      insensitive.
      For more information see:
      https://docs.pydantic.dev/latest/concepts/pydantic_settings/#parsing-environment-variable-values
    - Use devices as registry for configured devices. DeviceBase as base
      class with for now just initializion support (in the future expand
      to operations during optimization).
    - Strip down ConfigEOS to the only configuration instance. Reload
      from file or reset to defaults is possible.

 * Fix multi-initialization of derived SingletonMixin classes.
This commit is contained in:
Dominique Lasserre
2025-01-12 05:19:37 +01:00
parent f09658578a
commit be26457563
72 changed files with 1297 additions and 1712 deletions

View File

@@ -1110,7 +1110,7 @@ class DataProvider(SingletonMixin, DataSequence):
To be implemented by derived classes.
"""
return self.provider_id() == self.config.abstract_provider
raise NotImplementedError()
@abstractmethod
def _update_data(self, force_update: Optional[bool] = False) -> None:
@@ -1121,6 +1121,11 @@ class DataProvider(SingletonMixin, DataSequence):
"""
pass
def __init__(self, *args: Any, **kwargs: Any) -> None:
if hasattr(self, "_initialized"):
return
super().__init__(*args, **kwargs)
def update_data(
self,
force_enable: Optional[bool] = False,
@@ -1595,6 +1600,11 @@ class DataContainer(SingletonMixin, DataBase, MutableMapping):
)
return list(key_set)
def __init__(self, *args: Any, **kwargs: Any) -> None:
if hasattr(self, "_initialized"):
return
super().__init__(*args, **kwargs)
def __getitem__(self, key: str) -> pd.Series:
"""Retrieve a Pandas Series for a specified key from the data in each DataProvider.