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An inverter profile describes the technical data of an inverter model: its nominal AC power, the DC→AC and AC→DC efficiency curves over the load fraction (AC power relative to the nominal power), the AC charge power limit of the model, whether that limit also limits PV charging, and an optional power derating over the ambient temperature. Curves are read linearly and clamped at their ends, so every lookup yields a value. The packaged profile generic-hybrid has typical hybrid inverter efficiencies, no nominal power (the inverter device has to provide it) and full power up to 45 degC. Inverter settings name their profile (inverter_profile, default generic-hybrid) and hold the differences of the unit in profile_adjustment: nominal_power_w (replaces the profile value, required for a generic profile), max_power_w and max_ac_charge_power_w (installation limits that can only lower; an AC charge limit of 0 disables AC charging). The effective parameters are resolved at the ambient temperature of the inverter, given by the new measurement key <device_id>-temperature-degc (45 degC without a fresh value); the power derating lowers the maximum power and the AC charge limit. Optimization parameters are always valid: the GENETIC and GENETIC0 parameter preparation resolve the inverter with resolve_current_operating_parameters_or_defaults, which never raises. An unusable profile gives the generic-hybrid profile, a missing nominal power the fallback of 10000 W, an inverter derated to zero power the parameters at 45 degC, and no usable profile at all the profile adjustment with constant efficiency; each is logged as error. The GENETIC inverter takes the AC→DC efficiency curve of the profile, solved exactly on each linear piece of the curve (about 2 % longer runs); GENETIC0 keeps constant efficiencies and no longer replaces the configured inverters with the demo inverter; a battery, electric vehicle or inverter that cannot be prepared is left out of the GENETIC0 run, never replaced by a demo device. Configurations migrate: max_power_w becomes profile_adjustment.nominal_power_w, max_ac_charge_power_w moves into the adjustment, an ac_to_dc_efficiency of 0 keeps AC charging disabled, and the efficiency fields are dropped with an error log, as for batteries, so the profile efficiencies apply. Home Assistant config paths follow. Additional changes - Move the curve algorithms of the battery profile into profilecurve, so battery and inverter profiles share them; the battery profile keeps its document format and classes. - Move ProfileBaseModel, the strict base of profile documents, into profilestore. - Serve inverter profiles through the profile REST API. Refuse to delete a profile that a configured device uses and that has no packaged profile to revert to (409). - Share the measurement access of the device settings in devicemeasurement. - Rename check_battery_profiles to check_device_profiles; the device profile check at configuration setup covers inverters, too. - Document inverter profiles, their configuration, defaults and sharing; regenerate the configuration and OpenAPI documentation. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Assisted-by: Claude Code (claude-opus-5-5)
328 lines
12 KiB
Python
328 lines
12 KiB
Python
"""General configuration settings for simulated devices for optimization."""
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import json
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from typing import Any, Optional, TextIO, cast
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from loguru import logger
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from pydantic import Field, computed_field, field_validator, model_validator
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from akkudoktoreos.config.configabc import ConfigScope, SettingsBaseModel
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from akkudoktoreos.core.cache import CacheFileStore
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from akkudoktoreos.core.coreabc import ConfigMixin, SingletonMixin
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from akkudoktoreos.core.emplan import ResourceStatus
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from akkudoktoreos.core.pydantic import ConfigDict, PydanticBaseModel
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from akkudoktoreos.devices.settings.batterysettings import (
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BATTERY_DEFAULT_CHARGE_RATES as BATTERY_DEFAULT_CHARGE_RATES,
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)
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from akkudoktoreos.devices.settings.batterysettings import (
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BatteriesCommonSettings,
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)
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from akkudoktoreos.devices.settings.homeappliancesettings import (
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HomeApplianceCommonSettings,
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)
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from akkudoktoreos.devices.settings.invertersettings import InverterCommonSettings
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from akkudoktoreos.utils.datetimeutil import DateTime, to_datetime
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class DevicesCommonSettings(SettingsBaseModel):
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"""Configuration for all controllable devices in the simulation.
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Every device collection is a ``dict[str, <Settings>]`` keyed by
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``device_id``. This makes config paths stable regardless of
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declaration order and lets each device settings class build its own
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config path from ``self.device_id`` without needing an external index.
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"""
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# ---- Batteries ----
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batteries: Optional[dict[str, BatteriesCommonSettings]] = Field(
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default=None,
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json_schema_extra={
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"description": "Stationary battery storage devices, keyed by device_id.",
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"examples": [
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{
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"bat0": {
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"device_id": "bat0",
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"profile_adjustment": {"nominal_capacity_wh": 8000},
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"ports": [],
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}
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}
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],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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max_batteries: Optional[int] = Field(
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default=None,
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ge=0,
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json_schema_extra={
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"description": "Maximum number of batteries allowed.",
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"examples": [1],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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# ---- Electric vehicles ----
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electric_vehicles: Optional[dict[str, BatteriesCommonSettings]] = Field(
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default=None,
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json_schema_extra={
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"description": "Electric vehicle battery packs, keyed by device_id.",
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"examples": [
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{
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"ev0": {
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"device_id": "ev0",
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"profile_adjustment": {"nominal_capacity_wh": 60000},
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"ports": [],
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}
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}
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],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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max_electric_vehicles: Optional[int] = Field(
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default=None,
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ge=0,
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json_schema_extra={
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"description": "Maximum number of EVs allowed.",
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"examples": [1],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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# ---- Inverters ----
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inverters: Optional[dict[str, InverterCommonSettings]] = Field(
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default=None,
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json_schema_extra={
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"description": "Inverter devices, keyed by device_id.",
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"examples": [{}],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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max_inverters: Optional[int] = Field(
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default=None,
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ge=0,
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json_schema_extra={
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"description": "Maximum number of inverters allowed.",
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"examples": [1],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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# ---- Controllable home appliances ----
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home_appliances: dict[str, HomeApplianceCommonSettings] = Field(
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default_factory=dict,
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json_schema_extra={
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"description": "Shiftable home appliance devices, keyed by device_id.",
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"examples": [
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{
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"dishwasher": {
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"device_id": "dishwasher",
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"consumption_wh": 1500,
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"duration_h": 2.0, # required field
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"ports": [{"bus_id": "bus_ac", "port_id": "p_ac", "direction": "sink"}],
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},
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},
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],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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max_home_appliances: Optional[int] = Field(
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default=None,
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ge=0,
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json_schema_extra={
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"description": "Maximum number of home appliances allowed.",
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"examples": [3],
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"x-scope": [str(ConfigScope.GENETIC), str(ConfigScope.GENETIC0)],
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},
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)
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@field_validator(
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"batteries", "electric_vehicles", "inverters", "home_appliances", mode="before"
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)
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@classmethod
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def validate_device_ids(cls, value: Any) -> Any:
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"""Keep map keys and device identities consistent without mutating callers."""
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if not isinstance(value, dict):
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return value
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result = {}
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for key, device in value.items():
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if isinstance(device, dict):
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device = dict(device)
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device.setdefault("device_id", key)
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device_id = device["device_id"]
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else:
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device_id = device.device_id
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if device_id != key:
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raise ValueError(f"device_id {device_id!r} must match map key {key!r}")
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result[key] = device
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return result
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@computed_field # type: ignore[prop-decorator]
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@property
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def measurement_keys(self) -> list[str]:
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"""All measurement keys across all configured devices."""
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keys: list[str] = []
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for device_dict in [
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self.batteries,
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self.electric_vehicles,
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self.inverters,
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self.home_appliances,
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]:
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for device in (device_dict or {}).values():
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keys.extend(device.measurement_keys or [])
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return keys
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def check_device_profiles(self) -> tuple[list[str], list[str]]:
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"""Check that every device with a profile can be resolved from it.
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Covers batteries, electric vehicles and inverters, see
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``BatteriesCommonSettings.check_profile`` and
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``InverterCommonSettings.check_profile``.
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Returns:
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``(errors, warnings)`` of all these devices, each message naming its
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device.
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"""
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errors: list[str] = []
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warnings: list[str] = []
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for device_dict in (self.batteries, self.electric_vehicles, self.inverters):
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for device in (device_dict or {}).values():
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device_errors, device_warnings = device.check_profile()
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errors.extend(device_errors)
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warnings.extend(device_warnings)
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return errors, warnings
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def devices_using_profile(self, kind: str, name: str) -> list[str]:
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"""Return the IDs of the batteries, electric vehicles and inverters that use a profile.
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Args:
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kind: Profile kind, e.g. ``battery``.
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name: Profile name.
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Returns:
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The device IDs, in configuration order.
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"""
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return [
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device.device_id
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for device_dict in (self.batteries, self.electric_vehicles, self.inverters)
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for device in (device_dict or {}).values()
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if device.uses_profile(kind, name)
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]
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# Type used for indexing: (resource_id, optional actuator_id)
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class ResourceKey(PydanticBaseModel):
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"""Key identifying a resource and optionally an actuator."""
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resource_id: str
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actuator_id: Optional[str] = None
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model_config = ConfigDict(frozen=True)
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def __hash__(self) -> int:
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"""Returns a stable hash based on the resource_id and actuator_id.
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Returns:
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int: Hash value derived from the resource_id and actuator_id.
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"""
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return hash(self.resource_id + self.actuator_id if self.actuator_id else "")
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def as_tuple(self) -> tuple[str, Optional[str]]:
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"""Return the key as a tuple for internal dictionary indexing."""
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return (self.resource_id, self.actuator_id)
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def __eq__(self, other: Any) -> bool:
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if not isinstance(other, ResourceKey):
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return NotImplemented
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return self.resource_id == other.resource_id and self.actuator_id == other.actuator_id
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class ResourceRegistry(SingletonMixin, ConfigMixin, PydanticBaseModel):
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"""Registry for collecting and retrieving device status reports for simulations.
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Maintains the latest and optionally historical status reports for each resource.
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"""
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keep_history: bool = False
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history_size: int = 100
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latest: dict[ResourceKey, ResourceStatus] = Field(
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default_factory=dict,
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json_schema_extra={
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"description": "Latest resource status that was reported per resource key.",
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"example": [],
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},
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)
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history: dict[ResourceKey, list[tuple[DateTime, ResourceStatus]]] = Field(
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default_factory=dict,
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json_schema_extra={
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"description": "History of resource stati that were reported per resource key.",
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"example": [],
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},
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)
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@model_validator(mode="after")
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def _enforce_history_limits(self) -> "ResourceRegistry":
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"""Ensure history list lengths respect the history_size limit."""
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if self.keep_history:
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for key, records in self.history.items():
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if len(records) > self.history_size:
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self.history[key] = records[-self.history_size :]
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return self
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def update_status(self, key: ResourceKey, status: ResourceStatus) -> None:
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"""Update the latest status and optionally store in history.
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Args:
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key (ResourceKey): Identifier for the resource.
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status (ResourceStatus): Status report to store.
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"""
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self.latest[key] = status
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if self.keep_history:
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timestamp = getattr(status, "transition_timestamp", None) or to_datetime()
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self.history.setdefault(key, []).append((timestamp, status))
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if len(self.history[key]) > self.history_size:
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self.history[key] = self.history[key][-self.history_size :]
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def status_latest(self, key: ResourceKey) -> Optional[ResourceStatus]:
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"""Retrieve the most recent status for a resource."""
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return self.latest.get(key)
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def status_history(self, key: ResourceKey) -> list[tuple[DateTime, ResourceStatus]]:
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"""Retrieve historical status reports for a resource."""
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if not self.keep_history:
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raise RuntimeError("History tracking is disabled.")
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return self.history.get(key, [])
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def status_exists(self, key: ResourceKey) -> bool:
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"""Check if a status report exists for the given resource.
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Args:
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key (ResourceKey): Identifier for the resource.
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"""
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return key in self.latest
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def save(self) -> None:
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"""Save the registry to file."""
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# Make explicit cast to make mypy happy
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cache_file = cast(
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TextIO, CacheFileStore().create(key="resource_registry", mode="w+", suffix=".json")
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)
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cache_file.seek(0)
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cache_file.write(self.model_dump_json(indent=4))
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cache_file.truncate() # Important to remove leftover data!
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def load(self) -> None:
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"""Load registry state from file and update the current instance."""
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cache_file = CacheFileStore().get(key="resource_registry")
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if cache_file:
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try:
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cache_file.seek(0)
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data = json.load(cache_file)
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loaded = self.__class__.model_validate(data)
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self.keep_history = loaded.keep_history
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self.history_size = loaded.history_size
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self.latest = loaded.latest
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self.history = loaded.history
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except Exception as e:
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logger.error("Can not load resource registry: {}", e)
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