mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
be26457563
* 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.
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
from typing import List, Optional
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from pydantic import Field
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from akkudoktoreos.config.configabc import SettingsBaseModel
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from akkudoktoreos.core.logging import get_logger
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logger = get_logger(__name__)
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class OptimizationCommonSettings(SettingsBaseModel):
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"""Base configuration for optimization settings.
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Attributes:
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optimization_hours (int): Number of hours for optimizations.
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"""
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optimization_hours: Optional[int] = Field(
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default=48, ge=0, description="Number of hours into the future for optimizations."
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)
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optimization_penalty: Optional[int] = Field(
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default=10, description="Penalty factor used in optimization."
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)
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optimization_ev_available_charge_rates_percent: Optional[List[float]] = Field(
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default=[
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0.0,
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6.0 / 16.0,
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# 7.0 / 16.0,
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8.0 / 16.0,
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# 9.0 / 16.0,
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10.0 / 16.0,
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# 11.0 / 16.0,
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12.0 / 16.0,
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# 13.0 / 16.0,
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14.0 / 16.0,
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# 15.0 / 16.0,
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1.0,
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],
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description="Charge rates available for the EV in percent of maximum charge.",
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)
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