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)

tests/test_geneticinverter.py

@@ -498,3 +498,45 @@ class TestInverterSettings:
             getattr(settings, converter)()
         settings.max_power_w = 4200
         assert getattr(settings, converter)().max_power_wh == 4200
+
+
+def test_battery_discharge_limit_caps_load_and_grid_export():
+    """The inverter's inlined discharge uses the battery's discharge power limit."""
+    battery = Battery(
+        SolarPanelBatteryParameters(
+            device_id="battery",
+            capacity_wh=10000,
+            charging_efficiency=1.0,
+            discharging_efficiency=1.0,
+            max_charge_power_w=7000,
+            max_discharge_power_w=4000,
+            initial_soc_percentage=100,
+        ),
+        prediction_hours=1,
+        slot_duration_h=0.25,
+    )
+    battery.set_discharge_per_hour(np.array([1]))
+    quarter_hour_inverter = Inverter(
+        InverterParameters(
+            device_id="inverter",
+            max_power_wh=10000,
+            battery_id="battery",
+            dc_to_ac_efficiency=1.0,
+            ac_to_dc_efficiency=1.0,
+        ),
+        battery=battery,
+        slot_duration_h=0.25,
+    )
+    initial_soc_wh = battery.soc_wh
+
+    grid_export, grid_import, _, _ = quarter_hour_inverter.process_energy(
+        generation=0.0,
+        consumption=1500.0,
+        hour=0,
+        allow_battery_grid_export=True,
+    )
+
+    # 4000 W for a quarter hour: 1000 Wh, all of it for the load.
+    assert initial_soc_wh - battery.soc_wh == pytest.approx(1000.0)
+    assert grid_import == pytest.approx(500.0)
+    assert grid_export == 0.0