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3 Commits
Author SHA1 Message Date
Bobby NoelteandClaude Opus 5.5 faf37abfe7 feat(devices): add inverter profiles
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)
2026-11-11 22:08:18 +01:00
Bobby NoelteandClaude Opus 5.5 e255f987bf feat(devices): add battery profiles
A battery profile describes a battery model: the charge and discharge limit
maps over temperature and SoC, the charge and discharge efficiency curves
over C-rate, the technical SoC bounds, the hard temperature cutoffs and,
for a model, its nominal capacity and power limits. EOS packages the
generic profile generic-lfp; users add their own profiles.

A battery or electric vehicle selects its profile by battery_profile and
describes how the installation differs from it in profile_adjustment
(capacity, power limits of the installation, periodic full charge). The
effective values are resolved from both at the measured operating point
(temperature, SoC, power) and shown as effective_* fields.

The GENETIC simulation uses the limits and efficiencies of the profile over
SoC, with precomputed tables as a fast path; GENETIC0 gets the values at the
operating point. Optimization parameters are always valid: a battery whose
profile is missing, unreadable or invalid uses the packaged generic-lfp
profile, and the former defaults only if that is not usable either; each is
logged as error, and an optimization run is never cancelled because of a
battery.

Additional changes
- Add a generic device profile store: user and packaged profiles, atomic
  saves, compiled profiles cached per file and checked again at most once a
  second, plain file names as profile names ('schema' is reserved). On
  Windows, a save or read that collides with the other is retried briefly.
- Add the REST API /v1/profile to list the profile kinds and to list, read
  (document and JSON schema), save and delete profiles.
- Check the hard temperature cutoffs on the exact temperature.
- Resolve inhibited charging or discharging to a power of 0, e.g. for a cold
  battery; give GENETIC0 its own discharge limit for that.
- Limit generic profiles without own power limits to the former 5000 W.
- Accept only the implemented units; current limits need the nominal
  voltage.
- Migrate legacy battery settings into the profile adjustment, keep the
  former charge power limit as discharge limit (also for a Home Assistant
  entity on it) and report dropped efficiencies as errors.
- Limit GENETIC battery discharge by the discharge power.
- Allow battery profile lookups while the configuration is created.
- Resolve a battery once per configuration dump.
- Package the bundled profiles, document battery profiles and regenerate
  the configuration and OpenAPI documentation.
- Ignore the report PDFs written by the visualization tests.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Assisted-by: Claude Code (claude-opus-5-5)
2026-11-11 22:08:18 +01:00
NormannandGitHub 5d7198d090 test: consolidate suites and remove redundant cases (#1459)
Regression tests were scattered across feature- and bug-specific files, and some suites repeated the same checks. Group tests by responsibility, isolate feature fixtures in test classes, and remove duplicate or obsolete cases.

The review covered all 127 collected test modules on main. This reduces them and removes or combines definitions:.

 No application code changes.
2026-10-28 20:15:25 +01:00