OPT-11 P4: solar forecast and day plan

A Home Assistant solar forecast (Forecast.Solar, Solcast or Open-Meteo
shapes) and the add-on's own hourly house use decide, before each cheap
run, whether the sun will fill each battery before the expensive hours.
Leftover solar then buys from the grid only the shortfall; Cheap hours only
skips the part the sun covers; Solar first never grid-charges. No, stale or
failed forecast: P3 option A exactly (12 digests pinned from 5a4cdc2).

Replay (16 recorded days, forecast errors from Elia's day-ahead BE solar):
year-earlier prices P4 19.15 vs P2 19.33 / option A 19.44 / old trade 18.14;
real 2026 prices P4 29.19 vs 32.26 / 32.01 / 31.40 EUR net.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Claude
2026-09-29 19:29:32 +02:00
parent 5a4cdc273e
commit eb10537aee
24 changed files with 1984 additions and 35 deletions
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@@ -0,0 +1,256 @@
"""OPT-11 P4: the day plan. Will the sun fill each battery before the
expensive hours? If not, how much should it take from the grid?
Pure: the forecast (`solarfc`), the house profile, the price runs and the
batteries in; a level per battery (`Plan.targets`) out. `modetrade.charge_to()`
turns the level into permission to charge from the grid; main.py rebuilds the
plan with the price runs (at most every 15 minutes) and keeps a level unless
it moves by `HYST_KWH` or `HYST_FRAC` (`hold()`).
The sums (OPT-11-design section 1, "Excess solar", with the owner's answers):
* `sun`: trust x the solar the house will not use, between now and the
expensive run the cheap run is for, x the charge efficiency:
`trust x sum_h max(0, forecast_h - house_h) x EFF`.
* Solar first batteries take it first, up to the ceiling. What is left is
shared by the Leftover solar and Cheap hours batteries by their room.
* A Cheap hours battery charges from the grid up to `ceiling - its share`.
* A Leftover solar battery charges only up to what the house will draw from
it in the expensive runs before the next cheap run, less its share:
`min(ceiling, floor + house use / EFF) - share`. So it buys only the
shortfall, not up to the ceiling.
* Solar first never charges from the grid (owner, 2026-09-29).
The house profile is the add-on's own measurement, grid + battery power, per
local hour, over the last `PROFILE_DAYS` days; the estimate for an hour is the
median of that hour. It is net of the solar the house used itself, so for
the solar sum it is never taken below the night-time median (`base()`).
The site's own solar readings are not used: TEL-11 keeps them out of every
control decision.
"""
import statistics
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from .packmode import CHEAP_HOURS, LEFTOVER_SOLAR, SOLAR_FIRST
from .tariff import BILLING_TZ
EFF = 0.95 # charge (and discharge) efficiency
HYST_KWH = 1.0 # a kept level moves only by this much...
HYST_FRAC = 0.10 # ...or this share of the battery's shortfall
PROFILE_DAYS = 7
MIN_HOURS = 20 # hours of a day recorded before it counts
NIGHT_HOURS = (0, 1, 2, 3, 4, 5, 22, 23)
DEFAULT_TRUST_PCT = 70
# Site verdicts (the page's forecast line).
SUNNY, PARTLY, DARK = "sunny", "partly", "dark"
# --------------------------------------------------------------------------- #
# The house profile
# --------------------------------------------------------------------------- #
def _local(t: datetime):
return t.astimezone(BILLING_TZ)
class HouseProfile:
"""Hourly means of the house's net use (grid + battery power), kept per
local day and hour: `{"YYYY-MM-DD": {hour: [mean_w, samples]}}`. The
store holds `dump()`; `load()` takes it back and drops what is bad."""
def __init__(self, data=None):
self.days = {}
self._cur = None # (day, hour, sum, n)
if isinstance(data, dict):
self.load(data)
def load(self, data):
for day, hours in data.items():
if not isinstance(hours, dict):
continue
row = {}
for h, v in hours.items():
try:
hi, w = int(h), float(v)
except (TypeError, ValueError):
continue
if 0 <= hi < 24 and abs(w) < 1e6:
row[hi] = w
if row:
self.days[str(day)] = row
def dump(self) -> dict:
return {d: {str(h): round(w, 1) for h, w in sorted(r.items())}
for d, r in sorted(self.days.items())}
def add(self, now: datetime, house_w) -> bool:
"""One reading. Returns True when an hour closed (then store it)."""
lt = _local(now)
key = (lt.strftime("%Y-%m-%d"), lt.hour)
closed = False
if self._cur is not None and self._cur[:2] != key:
day, hour, s, n = self._cur
if n >= 60: # about 5 minutes of readings
self.days.setdefault(day, {})[hour] = s / n
closed = True
self._cur = None
self._prune(lt)
if house_w is None:
return closed
if self._cur is None:
self._cur = (key[0], key[1], 0.0, 0)
d, h, s, n = self._cur
self._cur = (d, h, s + float(house_w), n + 1)
return closed
def _prune(self, lt):
keep = (lt.date() - timedelta(days=PROFILE_DAYS)).isoformat()
for d in [d for d in self.days if d < keep]:
del self.days[d]
def ready(self) -> bool:
"""At least one day with `MIN_HOURS` hours recorded."""
return any(len(r) >= MIN_HOURS for r in self.days.values())
def hour_w(self, hour: int):
vals = [r[hour] for r in self.days.values() if hour in r]
return statistics.median(vals) if vals else None
def base(self):
vals = [w for h in NIGHT_HOURS if (w := self.hour_w(h)) is not None]
return statistics.median(vals) if vals else None
def estimator(self):
"""`f(hour) -> W`, or None when not ready. Fixed at call time."""
if not self.ready():
return None
base = self.base() or 0.0
table = {}
for h in range(24):
w = self.hour_w(h)
table[h] = base if w is None else w
return lambda h: table[h], max(0.0, base)
# --------------------------------------------------------------------------- #
# The plan
# --------------------------------------------------------------------------- #
@dataclass(frozen=True)
class Plan:
verdict: str # SUNNY / PARTLY / DARK
sun_kwh: float # solar the batteries can count on
fc_kwh: float # the forecast over the same span
until: datetime # the expensive run the plan is for
targets: dict # name -> level % (LS and CH only)
need_kwh: dict # name -> kWh from the grid (0: none)
share_kwh: dict # name -> kWh of solar counted for it
def _hour_slices(t0, t1):
"""Local-hour slices of [t0, t1): (start, end, local hour)."""
out, t = [], t0
while t < t1:
lt = _local(t)
nxt = (lt.replace(minute=0, second=0, microsecond=0)
+ timedelta(hours=1)).astimezone(timezone.utc)
e = min(nxt, t1)
out.append((t, e, lt.hour))
t = e
return out
def _room(p, to_pct):
if p.capacity_kwh is None or p.soc is None:
return 0.0
return max(0.0, float(to_pct) - float(p.soc)) / 100.0 * float(
p.capacity_kwh)
def plan(forecast, house, runs, now, packs, *, trust_pct, floor_pct,
ceiling_pct):
"""The day plan, or None when there is none to make: no forecast, no
house profile yet, no price plan, or no expensive run after the cheap
run. `house` is `HouseProfile.estimator()`'s answer. `packs` are
`modetrade.Pack`s."""
if forecast is None or house is None or runs is None or not runs.on \
or runs.cheap is None:
return None
house_w, base_w = house
until = next((g for g in runs.give if g.start >= runs.cheap.end), None)
if until is None:
return None
trust = max(0.0, min(1.0, float(trust_pct) / 100.0))
sun = fc_sum = 0.0
for s, e, h in _hour_slices(now, until.start):
pv = forecast.between(s, e)
if pv is None:
return None # the span reaches a day with no forecast
hrs = (e - s).total_seconds() / 3600.0
use = max(house_w(h), base_w) * hrs / 1000.0
sun += max(0.0, pv - use)
fc_sum += pv
sun *= trust * EFF
usable = [p for p in packs if p.use and p.live and p.idle
and p.soc is not None and p.capacity_kwh]
sf = [p for p in usable if p.mode == SOLAR_FIRST]
price = [p for p in usable if p.mode in (LEFTOVER_SOLAR, CHEAP_HOURS)]
sf_room = sum(_room(p, ceiling_pct) for p in sf)
excess = max(0.0, sun - sf_room)
rooms = {p.name: _room(p, ceiling_pct) for p in price}
total_room = sum(rooms.values())
# What the house draws in the expensive runs from the one this plan is
# for until the next cheap run (or a day), from the profile.
horizon = until.start + timedelta(hours=24)
use_kwh = 0.0
for g in runs.give:
if g.start < until.start or g.start >= horizon:
continue
for s, e, h in _hour_slices(g.start, g.end):
use_kwh += max(0.0, house_w(h)) * (
e - s).total_seconds() / 3600.0 / 1000.0
caps = {p.name: float(p.capacity_kwh) for p in price}
cap_sum = sum(caps.values()) or 1.0
targets, need, share = {}, {}, {}
for p in price:
sh = excess * rooms[p.name] / total_room if total_room > 0 else 0.0
sh_pct = sh / caps[p.name] * 100.0
if p.mode == CHEAP_HOURS:
top = float(ceiling_pct)
else:
want = use_kwh * caps[p.name] / cap_sum / EFF
top = min(float(ceiling_pct),
float(floor_pct) + want / caps[p.name] * 100.0)
level = max(0.0, top - sh_pct)
targets[p.name] = round(level, 2)
need[p.name] = round(_room(p, level), 3)
share[p.name] = round(sh, 3)
if sun < sf_room:
verdict = DARK
elif any(v > 0.05 for v in need.values()):
verdict = PARTLY
else:
verdict = SUNNY
return Plan(verdict, round(sun, 3), round(fc_sum, 3), until.start,
targets, need, share)
def hold(old: dict | None, new: dict, capacity: dict) -> dict:
"""Hysteresis: a battery keeps its old level unless the new one differs
by at least `HYST_KWH`, or by `HYST_FRAC` of the larger level's energy
(whichever is less). A battery new to the plan takes its level at once;
one that left the plan is dropped at once."""
out = {}
for name, level in new.items():
was = (old or {}).get(name)
cap = float(capacity.get(name) or 0.0)
if was is None or cap <= 0:
out[name] = level
continue
moved = abs(level - was) / 100.0 * cap
step = min(HYST_KWH, HYST_FRAC * max(was, level) / 100.0 * cap)
out[name] = level if moved >= step else was
return out
+84 -3
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@@ -345,7 +345,10 @@ def mode_runs(c, day0, day1, now, shadow):
else (soc - floor)) / 100.0 * cap)
return kwh
blocks = []
if rp.charge_useful() and pm.mode in GRID_CHARGE_MODES:
# P4: with a day plan, the grid block is the planned shortfall.
need = plan_need(c, inv.name)
if rp.charge_useful() and (need > 0.0 if need is not None
else pm.mode in GRID_CHARGE_MODES):
blocks.append(("grid", rp.cheap))
sell = rp.sell if pm.sell and pm.can_sell else None
for g in rp.give:
@@ -358,6 +361,8 @@ def mode_runs(c, day0, day1, now, shadow):
continue
hrs = (run.end - run.start).total_seconds() / 3600.0
kwh = room(kind, hrs)
if kind == "grid" and need is not None:
kwh = min(kwh, need)
if kwh < MIN_KWH:
continue
price = run.mean_eur_kwh
@@ -382,6 +387,56 @@ def mode_runs(c, day0, day1, now, shadow):
return out, None
def plan_need(c, name):
"""P4: kWh this battery buys from the grid by the day plan, or None when
there is no plan for it (then P3 option A applies)."""
targets = c.plan_targets() if hasattr(c, "plan_targets") else None
if not targets or name not in targets:
return None
inv = next((i for i in c.inverters if i.name == name), None)
if inv is None or inv.soc is None or not inv.capacity_kwh:
return None
return max(0.0, targets[name] - float(inv.soc)) / 100.0 * float(
inv.capacity_kwh)
def plan_state(c):
"""P4: `"plan"` (a day plan is made), `"learning"` (no house profile
yet), `"no_forecast"` (set but missing or stale), or None (not set, or
battery modes off)."""
if not getattr(c, "modes_on", False) or \
getattr(c, "fc_entity", None) is None:
return None
if getattr(c, "solar_fc", None) is None:
return "no_forecast"
hp = getattr(c, "house_profile", None)
if hp is not None and not hp.ready():
return "learning"
return "plan" if getattr(c, "day_plan", None) is not None else None
def solar_block(c, now):
"""P4: the solar forecast line for the Batteries screen and the Simple
settings view: `{state, fc_kwh, count_kwh, updated, line}`."""
st = plan_state(c)
out = {"state": st, "fc_kwh": None, "count_kwh": None, "updated": None,
"line": ""}
if st is None and getattr(c, "solar_fc", None) is None:
return out
fc = getattr(c, "solar_fc", None)
if fc is not None:
trust = float(getattr(c, "solar_trust_pct", 70)) / 100.0
out.update(fc_kwh=round(fc.today.kwh, 1),
count_kwh=round(fc.today.kwh * trust, 1),
updated=hhmm(fc.at))
if st in ("no_forecast", "learning"):
out["line"] = _t("solar." + st)
elif fc is not None:
out["line"] = line_solar(fc.today.kwh, out["count_kwh"],
out["updated"])
return out
def maintenance_runs(c, day0, day1, now, shadow):
"""The monthly battery cycle: under way now, or starting later today.
The cycle starts in the hour `maintenance_start_hour` names, read as the
@@ -655,7 +710,9 @@ def battery_rows(c, shadow, running, held=False):
phase=phase, shadow=shadow, running=running, held=held,
refused=refusing(c, inv), peak=peak,
giving=flow(inv.batt) == "giving", other_refuses=other,
sf_ahead=sf_ahead, role=role, plan=plan, has_at=bool(at))
sf_ahead=sf_ahead, role=role, plan=plan, has_at=bool(at),
day=None if pm is None or pm.mode not in PRICE_MODES
else day_key(c, inv.name))
rows.append({
"name": inv.name,
"level_pct": None if inv.soc is None else float(inv.soc),
@@ -689,10 +746,25 @@ def battery_rows(c, shadow, running, held=False):
return rows
def day_key(c, name):
"""P4: the day plan's word for one Leftover solar or Cheap hours
battery: `sun_fills`, `tops_up`, `no_forecast`, or None."""
st = plan_state(c)
if st == "no_forecast":
mode = c.pack_mode(next(i for i in c.inverters if i.name == name))
return "no_forecast" if mode.mode == LEFTOVER_SOLAR else None
if st != "plan":
return None
need = plan_need(c, name)
if need is None:
return None
return "tops_up" if need >= MIN_KWH else "sun_fills"
def battery_why(*, modes_on, mode, off, reading, phase, shadow, running,
held, refused, peak, sf_ahead, giving=False,
other_refuses=None, role=None, plan=None,
has_at=False) -> str:
has_at=False, day=None) -> str:
"""The key of one battery's "why" line (`home_words.why`), most urgent
first. Pure, so every branch is tested without a controller."""
if not reading:
@@ -717,6 +789,8 @@ def battery_why(*, modes_on, mode, off, reading, phase, shadow, running,
if not modes_on:
return "modes_off"
# OPT-11 P3: the battery's role in the price runs this cycle.
if role == "hold" and day is not None:
return day # P4: what the day plan decided
if role in ROLE_WHY:
if role == "hold" and not has_at:
return "saves_later"
@@ -864,6 +938,7 @@ def _build(c, *, level, checks, now):
modes_on=bool(getattr(c, "modes_on", False)),
running=running, held=held, shadow=shadow)
return {
"solar": solar_block(c, now),
"state": {"kind": kind, "pill": pill(kind),
"ran": ctl.get("text", "") if ctl else "",
"sub": banner_sub(kind)},
@@ -1160,6 +1235,10 @@ def run_house_amount() -> str:
return _t("run.house_amount")
def line_solar(fc_kwh, count_kwh, at) -> str:
return _t("solar.line", kwh=_kwh(fc_kwh), count=_kwh(count_kwh), at=at)
def line_no_trade(key) -> str:
return "" if key == "off" else _t("no_trade." + key)
@@ -1302,6 +1381,8 @@ def _samples() -> list:
off=off, peak=peak)))
out += [("plan", why_words(k, name="Battery A")) for k in words["why"]]
out += [("plan", today_words(k)) for k in words["today"]]
out += [("plan", line_solar(9.2, 6.4, "10:15")),
("plan", _t("solar.no_forecast")), ("plan", _t("solar.learning"))]
out += [("plan", line_no_trade(k)) for k in
("not_covered", "no_prices", "peak", "not_firm", "not_worth",
"no_level")]
+115 -6
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@@ -41,9 +41,11 @@ from .arbiter import (
P_SAFETY, SET, Claim, Resolution, actuator_for, pre_resolve, resolve,
)
from . import allocator
from . import dayplan
from . import modetrade
from . import packmode
from . import priceruns
from . import solarfc
from . import control as _ctl
from .control import Tuning, compute, maintenance_charge_floor, peak_at_risk
from .delivery import (
@@ -234,6 +236,11 @@ def load_options() -> dict:
# valued at (`priceruns.plan(ref_eur_kwh=)`): the rest of that day.
REF_CHEAP_KEEP = timedelta(hours=12)
# OPT-11 P4: the store key of the house profile (dayplan.HouseProfile), and
# how often the forecast sensors are read (they change hourly at most).
HOUSE_PROFILE_KEY = "house_profile"
FORECAST_READ_S = 60.0
def why_raised(resolution, claims) -> bool:
"""F2 (OPT-11 P1 test): did the limit that bound the site target push it
@@ -942,6 +949,25 @@ class Controller:
self._mode_trade_was = False
self._charge_blocked_q = None
self._ref_cheap = None
# OPT-11 P4: the solar forecast and the day plan. Only with battery
# modes on AND `pv_forecast_entity` set; otherwise none of this runs
# and every mode acts as in P3 option A.
self.fc_entity = (opts.get("pv_forecast_entity") or None) \
if self.modes_on else None
self.fc_tomorrow_entity = opts.get("pv_forecast_tomorrow_entity") \
or None
self.solar_trust_pct = opts.get("solar_trust_pct",
dayplan.DEFAULT_TRUST_PCT)
self.solar_fc = None
self.solar_fc_why = (solarfc.NOT_SET if self.fc_entity is None
else solarfc.MISSING)
self._fc_read_mono = None
self.day_plan = None
self._plan_targets = None
self.house_profile = None
if self.fc_entity is not None:
self.house_profile = dayplan.HouseProfile(
(getattr(store, "data", None) or {}).get(HOUSE_PROFILE_KEY))
# OPT-11 P2: (topic, reason) of MQTT commands refused and logged once.
self._mqtt_refused = set()
self._mqtt_refused_more = 0
@@ -2073,10 +2099,14 @@ class Controller:
plan = self.fresh_tariff_plan(now)
if plan is None or not plan.has_prices:
self.mode_runs, self._runs_key = None, None
self.day_plan = None
return None
slot = int(now.timestamp() // 900)
key = (id(plan), slot, tuple((p.name, p.use, p.mode, p.sell)
for p in packs))
if self.fc_entity is not None:
# P4: a forecast arriving or going rebuilds the plan at once.
key += (self.solar_fc is None,)
if key != self._runs_key:
done_c = self._run_done.get("charge", (None, set()))[1]
done_s = self._run_done.get("sell", (None, set()))[1]
@@ -2094,6 +2124,9 @@ class Controller:
charge_kwh=e[0], charge_kw=e[1], sell_kwh=e[2],
sell_kw=e[3],
ref_eur_kwh=None if ref is None else ref.mean_eur_kwh)
if self.fc_entity is not None:
new = self._day_plan(now, packs, floor_pct, ceiling_pct,
new, plan, required, ref, done_c, e)
self.mode_runs = priceruns.keep_started(self.mode_runs, new, now)
self._runs_key = key
runs = self.mode_runs
@@ -2108,6 +2141,42 @@ class Controller:
self._ref_cheap = runs.cheap
return runs
def _day_plan(self, now, packs, floor_pct, ceiling_pct, runs, plan,
required, ref, done_c, e):
"""OPT-11 P4: the day plan (`dayplan.plan()`) on the runs just made,
its levels held by the hysteresis (`dayplan.hold()`), then the runs
made again with each battery's shortfall as the charge, so the cheap
run is only as long as the shortfall needs. With no plan (no or stale
forecast, no house profile yet) the levels are dropped: P3 option A.
Returns the runs to keep."""
dp = dayplan.plan(
self.solar_fc,
None if self.house_profile is None
else self.house_profile.estimator(),
priceruns.keep_started(self.mode_runs, runs, now), now, packs,
trust_pct=self.solar_trust_pct, floor_pct=floor_pct,
ceiling_pct=ceiling_pct)
self.day_plan = dp
if dp is None:
self._plan_targets = None
return runs
self._plan_targets = dayplan.hold(
self._plan_targets, dp.targets,
{p.name: p.capacity_kwh for p in packs})
e2 = modetrade.energy(packs, floor_pct, ceiling_pct, done_c, (),
targets=self._plan_targets)
return priceruns.plan(
plan.read.points, now, required_eur_kwh=required,
charge_kwh=e2[0], charge_kw=e2[1], sell_kwh=e[2], sell_kw=e[3],
ref_eur_kwh=None if ref is None else ref.mean_eur_kwh)
def plan_targets(self):
"""P4: each battery's planned level, or None (no day plan). Dropped
at once when the forecast goes (stale or missing)."""
if self.solar_fc is None:
return None
return self._plan_targets
def _mode_roles(self, now, maint_results):
"""OPT-11 P3: each battery's role and range this tick. Grid charging
and selling need a fresh plan that `TariffPlan.arbitrage()` allows
@@ -2146,9 +2215,22 @@ class Controller:
price_now = None
house = (None if self.grid is None or self.site_batt_w is None
else float(self.grid) + float(self.site_batt_w))
done_c = self._run_mark("charge", runs and runs.cheap, packs,
lambda p: p.soc is not None
and p.soc >= ceiling_pct)
if self.house_profile is not None and \
self.house_profile.add(now, house):
self.store.set(HOUSE_PROFILE_KEY, self.house_profile.dump())
targets = self.plan_targets()
if targets is None:
done_c = self._run_mark("charge", runs and runs.cheap, packs,
lambda p: p.soc is not None
and p.soc >= ceiling_pct)
else:
# P4: out of the run at its planned level. A level the
# hysteresis moved opens the run to it again (a new mark key).
def full(p):
to = modetrade.charge_to(p, ceiling_pct, targets)
return p.soc is not None and (to is None or p.soc >= to)
done_c = self._run_mark("charge", runs and runs.cheap, packs,
full, tuple(sorted(targets.items())))
done_s = self._run_mark("sell", runs and runs.sell, packs,
lambda p: p.soc is not None
and p.soc <= floor_pct)
@@ -2161,17 +2243,20 @@ class Controller:
headroom_w=self.arb_headroom_w, floor_pct=floor_pct,
ceiling_pct=ceiling_pct, house_w=house, charging_now=was,
blocked=self._charge_blocked_q == quarter,
done_charge=done_c, done_sell=done_s)
done_charge=done_c, done_sell=done_s, targets=targets)
# A charge the guard or the headroom stopped stays off this period.
if was and self.mode_tick.action != modetrade.CHARGE and \
self.mode_tick.why in ("peak", "headroom"):
self._charge_blocked_q = quarter
return self.mode_tick
def _run_mark(self, kind, run, packs, out) -> set:
def _run_mark(self, kind, run, packs, out, extra=None) -> set:
"""The batteries that left run `run` (full, or at the floor); they
stay out until it ends, so a level edge does not re-arm them."""
stay out until it ends, so a level edge does not re-arm them.
`extra` (P4: the planned levels) is part of the run's key."""
key = None if not run else (run.start, run.end)
if key is not None and extra is not None:
key += (extra,)
was_key, done = self._run_done.get(kind, (None, set()))
if key != was_key:
done = set()
@@ -2487,6 +2572,22 @@ class Controller:
self.pv_w, self.pv_why, self.pv_parts = pv_read.total(
list(zip(roster, states)), pv_read.inverted(self.o))
async def _read_forecast(self) -> None:
"""OPT-11 P4: the solar forecast sensors (`solarfc.read()`). A
failed or stale read is no forecast, never a zero."""
today = await self.hass.state(self.fc_entity)
tomorrow = (await self.hass.state(self.fc_tomorrow_entity)
if self.fc_tomorrow_entity else None)
now = datetime.now(timezone.utc)
fc, why = solarfc.read(today, tomorrow, now)
if (fc is None) != (self.solar_fc is None) or why != self.solar_fc_why:
self.log_event(
"solar forecast: " + ("read" if fc is not None else
f"none ({why})"),
hint=messages.hint("forecast_read" if fc is not None
else "forecast_none"))
self.solar_fc, self.solar_fc_why = fc, why
async def read_inputs(self, now_mono: float | None = None) -> None:
"""Every input this cycle needs, and SAFETY-37's freshness verdict.
@@ -2538,6 +2639,14 @@ class Controller:
_reads = [self._read_unit(inv, now_mono) for inv in self.inverters]
if self.pv_roster:
_reads.append(self._read_pv())
# OPT-11 P4: the solar forecast, in the same gather (a slow sensor
# must not delay control), at most once per FORECAST_READ_S.
if self.fc_entity is not None and (
self._fc_read_mono is None
or now_mono - self._fc_read_mono >= FORECAST_READ_S
or now_mono < self._fc_read_mono):
self._fc_read_mono = now_mono
_reads.append(self._read_forecast())
await asyncio.gather(*_reads)
if o.get("peak_forecast_entity"):
raw = await self.hass.number(o["peak_forecast_entity"])
+5
View File
@@ -906,6 +906,8 @@ HINTS = {
"trade_charge": "Trading: charging while the price is low",
"trade_give": "Trading: giving power while the price is high",
"trade_off": "Trading: waiting for a better price",
"forecast_read": "Solar forecast read, the day plan uses it",
"forecast_none": "No solar forecast, so Leftover solar takes solar only",
"split": "The power split between inverters changed",
"clash": "Two limits clash, inverters set to 0 W",
"no_setpoint": "An inverter has no “Setpoint entity”, inverters stay at 0 W",
@@ -1172,6 +1174,9 @@ LABELS = {
"batt_entity": "Battery power entity",
"pv_entity": "Solar production entity",
"pv_entities": "Solar production entities, per inverter",
"pv_forecast_entity": "Solar forecast, today",
"pv_forecast_tomorrow_entity": "Solar forecast, tomorrow",
"solar_trust_pct": "Trust in the forecast",
"p1_phase_import_entities": "Import entities per phase",
"p1_phase_export_entities": "Export entities per phase",
}
+47 -16
View File
@@ -23,7 +23,11 @@ Roles (the page's Why line names them):
Rules that keep this safe (tests: test_modes_p3.py):
* every range holds 0 W (a mode may forbid a direction, never force one);
* a Solar first battery never charges from the grid (no forecast yet, P4);
* a Solar first battery never charges from the grid;
* P4: with a day plan (`targets`), a Leftover solar or Cheap hours battery
charges from the grid only up to its planned level, never above the
ceiling; with none, Cheap hours fills to the ceiling and Leftover solar
takes solar only (P3 option A, `charge_to()`);
* grid charging needs a measured peak guard that is clear and a measured
headroom (SAFETY-45); the trade is sized to that headroom, whose aim is
`peak_cap_w - peak_margin_w` (SAFETY-79). It starts only at START_W or
@@ -45,7 +49,7 @@ Rules that keep this safe (tests: test_modes_p3.py):
from dataclasses import dataclass
from .packmode import (CHEAP_HOURS, GRID_CHARGE_MODES, LEFTOVER_SOLAR,
SOLAR_FIRST)
PLAN_CHARGE_MODES, SOLAR_FIRST)
OFF, HOUSE, HOLD, GIVE, SELL, CHARGE, REST = (
"off", "house", "hold", "give", "sell", "charge", "rest")
@@ -88,13 +92,34 @@ def _room_kwh(p: Pack, pct: float) -> float:
return max(0.0, abs(pct - p.soc)) / 100.0 * float(p.capacity_kwh)
def chargers(packs, ceiling_pct, done=()) -> list:
"""Batteries that may charge from the grid in a cheap run: the modes in
`packmode.GRID_CHARGE_MODES` (Cheap hours only until P4's forecast)."""
return [p for p in packs
if p.use and p.idle and p.live and p.mode in GRID_CHARGE_MODES
and p.soc is not None and p.soc < ceiling_pct
and p.refused >= 0 and p.name not in done]
def charge_to(p: Pack, ceiling_pct, targets=None):
"""The level this battery may charge to from the grid, or None.
`targets` is the day plan (`dayplan.plan()`: name -> level), or None
when there is none (no forecast, stale, or not configured). With no plan
this is P3 option A exactly: Cheap hours to the ceiling, the others never.
With a plan, a Leftover solar or Cheap hours battery charges only to its
planned level (the sun fills the rest), and a battery the plan leaves out
falls back to the no-plan answer. Solar first never charges."""
if targets is None or p.name not in targets:
return float(ceiling_pct) if p.mode in GRID_CHARGE_MODES else None
if p.mode not in PLAN_CHARGE_MODES:
return None
t = targets[p.name]
return None if t is None else min(float(ceiling_pct), float(t))
def chargers(packs, ceiling_pct, done=(), targets=None) -> list:
"""Batteries that may charge from the grid in a cheap run: below the
level `charge_to()` allows them (P4: the day plan's)."""
out = []
for p in packs:
to = charge_to(p, ceiling_pct, targets)
if (to is not None and p.use and p.idle and p.live
and p.soc is not None and p.soc < to
and p.refused >= 0 and p.name not in done):
out.append(p)
return out
def sellers(packs, floor_pct, done=()) -> list:
@@ -106,11 +131,15 @@ def sellers(packs, floor_pct, done=()) -> list:
and p.refused <= 0 and p.name not in done]
def energy(packs, floor_pct, ceiling_pct, done_charge=(), done_sell=()):
"""`(charge_kwh, charge_kw, sell_kwh, sell_kw)` for `priceruns.plan()`."""
ch = chargers(packs, ceiling_pct, done_charge)
def energy(packs, floor_pct, ceiling_pct, done_charge=(), done_sell=(),
targets=None):
"""`(charge_kwh, charge_kw, sell_kwh, sell_kw)` for `priceruns.plan()`.
With a day plan the charge is each battery's shortfall, so the cheap run
is only as long as the shortfall needs."""
ch = chargers(packs, ceiling_pct, done_charge, targets)
se = sellers(packs, floor_pct, done_sell)
return (sum(_room_kwh(p, ceiling_pct) for p in ch),
return (sum(_room_kwh(p, charge_to(p, ceiling_pct, targets))
for p in ch),
sum(abs(p.rating_w) for p in ch) / 1000.0,
sum(_room_kwh(p, floor_pct) for p in se),
sum(abs(p.rating_w) for p in se) / 1000.0)
@@ -118,7 +147,8 @@ def energy(packs, floor_pct, ceiling_pct, done_charge=(), done_sell=()):
def decide(runs, now, packs, *, charge_ok, sell_ok, trade_why, price_now,
headroom_w, floor_pct, ceiling_pct, house_w, charging_now=False,
blocked=False, done_charge=(), done_sell=()) -> Tick:
blocked=False, done_charge=(), done_sell=(),
targets=None) -> Tick:
"""This tick's ranges, roles and site ask.
`runs` is the kept `priceruns.RunPlan` or None (no fresh prices).
@@ -129,7 +159,7 @@ def decide(runs, now, packs, *, charge_ok, sell_ok, trade_why, price_now,
`house_w` is the measured house (grid + batteries), or None.
`charging_now` says last tick charged (then any headroom above 0 keeps
it going); `blocked` that the guard or the headroom stopped a charge in
this 15-minute period.
this 15-minute period. `targets` is the day plan (`charge_to()`).
"""
plan_on = runs is not None and runs.on
in_cheap = plan_on and runs.cheap.holds(now) and runs.charge_useful()
@@ -137,7 +167,8 @@ def decide(runs, now, packs, *, charge_ok, sell_ok, trade_why, price_now,
in_sell = plan_on and runs.sell is not None and runs.sell.holds(now)
why = None
ch = chargers(packs, ceiling_pct, done_charge) if in_cheap else []
ch = chargers(packs, ceiling_pct, done_charge, targets) if in_cheap \
else []
charging = False
if ch:
need = 0.0 if charging_now else START_W
+6 -3
View File
@@ -46,10 +46,13 @@ SELL_KEY = "pack_sell" # OPT-11 P3: sell in the sell run
# refused; the sell code in modetrade/priceruns stays, unreachable.
SELLING_ENABLED = False
# The modes that may charge from the grid in a cheap run. Leftover solar joins
# when the solar forecast exists (P4); until then it takes solar only (owner
# decision 2026-09-29, option A).
# The modes that may charge from the grid in a cheap run with no day plan.
# Leftover solar takes solar only then (owner decision 2026-09-29, option A).
GRID_CHARGE_MODES = (CHEAP_HOURS,)
# OPT-11 P4: with a fresh solar forecast, the day plan (dayplan.py) may also
# let Leftover solar charge from the grid, by the shortfall only. Solar first
# never charges from the grid.
PLAN_CHARGE_MODES = (LEFTOVER_SOLAR, CHEAP_HOURS)
def enabled(opts) -> bool:
+251
View File
@@ -0,0 +1,251 @@
"""OPT-11 P4: the solar forecast, read from a Home Assistant sensor.
Pure: HA state dicts and the time in, a `Forecast` (or None and why) out.
main.py reads the entities; dayplan.py uses the answer. FCST-01 replaces
this later with the add-on's own forecast (owner answer, 2026-09-27).
Two options name the sensors: `pv_forecast_entity`, the solar energy still
to come TODAY, and `pv_forecast_tomorrow_entity`, TOMORROW's (optional; it
is only needed for a cheap run before midnight). Supported, by the entities
they create (DOCS.md lists them):
* Forecast.Solar (HA core): `sensor.energy_production_today_remaining` and
`sensor.energy_production_tomorrow`. The state only; no hourly split.
* Solcast PV Forecast (HACS `solcast_solar`):
`sensor.solcast_pv_forecast_forecast_remaining_today` and
`..._forecast_tomorrow`, with `detailedForecast` (or `detailedHourly`):
`[{period_start, pv_estimate}]`, kW per period.
* Open-Meteo Solar Forecast (HACS `open_meteo_solar_forecast`):
`sensor.energy_production_today_remaining` / `..._tomorrow`, with
`wh_period`: `{period start: Wh}`.
Any other sensor whose state is energy in Wh, kWh or MWh works too, as a
state only. The unit is read, never guessed (the rule `pv.watts()` has).
Without an hourly split, the day's energy is spread over a fixed bell from
06:00 to 20:00 local time (`BELL_FROM_H`, `BELL_TO_H`).
A reading older than `FRESH_S` is stale, and a stale or missing forecast is
no forecast: the day plan is off and every mode acts as in P3 option A.
"""
import math
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from .hass import BAD_STATES
from .tariff import BILLING_TZ
KWH_PER = {"Wh": 0.001, "kWh": 1.0, "MWh": 1000.0}
# Stale after 3 h. The integrations above refresh at least hourly, so a
# 2 h limit would flag a site whose hourly poll was missed once.
FRESH_S = 3 * 3600.0
# The bell a state-only forecast is spread over, in local hours.
BELL_FROM_H, BELL_TO_H = 6.0, 20.0
# Why there is no forecast (the page words are in ui_text `home_words`).
NOT_SET, MISSING, UNIT, STALE, BAD = (
"not_set", "missing", "unit", "stale", "bad")
@dataclass(frozen=True)
class Day:
"""One day's forecast: `kwh` still to come (today) or in all (tomorrow),
and the hourly split if the sensor has one: `((start, end, kwh), ...)`."""
day0: datetime # local midnight, as UTC
kwh: float
periods: tuple = ()
@dataclass(frozen=True)
class Forecast:
today: Day
tomorrow: Day | None
at: datetime # when the sensor last reported
def between(self, t0: datetime, t1: datetime) -> float | None:
"""kWh the sun should give between `t0` (now or later) and `t1`.
None when the span reaches the sunny hours of a day with no
forecast (tomorrow, when its sensor is not set)."""
if t1 <= t0:
return 0.0
last = self.tomorrow or self.today
if t1 > last.day0 + timedelta(days=1, hours=BELL_FROM_H):
return None
total = 0.0
for day in (self.today, self.tomorrow):
if day is None:
continue
a = max(t0, day.day0)
b = min(t1, day.day0 + timedelta(days=1))
if b > a:
total += _day_between(day, a, b, t0)
return total
def _local_hour(t: datetime) -> float:
lt = t.astimezone(BILLING_TZ)
return lt.hour + lt.minute / 60.0 + lt.second / 3600.0
def _bell(h: float) -> float:
"""Cumulative share of a day's sun by local hour `h` (0..1)."""
if h <= BELL_FROM_H:
return 0.0
if h >= BELL_TO_H:
return 1.0
x = (h - BELL_FROM_H) / (BELL_TO_H - BELL_FROM_H)
return (1.0 - math.cos(math.pi * x)) / 2.0
def _hours_since(day0, t):
return (t - day0).total_seconds() / 3600.0
def _day_between(day: Day, a: datetime, b: datetime, now: datetime) -> float:
if day.periods:
out = 0.0
for s, e, kwh in day.periods:
lo, hi = max(a, s), min(b, e)
if hi > lo:
out += kwh * (hi - lo).total_seconds() / (e - s).total_seconds()
return out
# State only: `kwh` is what is left from `max(now, day0)` to the day's
# end, spread over the bell.
h_from = _hours_since(day.day0, max(now, day.day0))
left = 1.0 - _bell(h_from)
if left <= 1e-9:
return 0.0
share = (_bell(_hours_since(day.day0, b))
- _bell(_hours_since(day.day0, a))) / left
return day.kwh * max(0.0, share)
def _parse_time(v):
try:
t = datetime.fromisoformat(str(v).replace("Z", "+00:00"))
except (TypeError, ValueError):
return None
return t if t.tzinfo else t.replace(tzinfo=timezone.utc)
def _periods(attrs: dict, day0: datetime) -> tuple:
"""The hourly split, if the sensor has one, for the day at `day0`."""
d1 = day0 + timedelta(days=1)
out = []
for key in ("detailedForecast", "detailedHourly"):
rows = attrs.get(key)
if isinstance(rows, list) and rows:
starts = []
for r in rows:
if not isinstance(r, dict):
continue
t = _parse_time(r.get("period_start"))
try:
kw = float(r.get("pv_estimate"))
except (TypeError, ValueError):
continue
if t is not None and math.isfinite(kw) and kw >= 0:
starts.append((t, kw))
starts.sort()
for i, (t, kw) in enumerate(starts):
step = (starts[i + 1][0] - t if i + 1 < len(starts)
else timedelta(minutes=30 if key ==
"detailedForecast" else 60))
if step <= timedelta(0) or step > timedelta(hours=1):
step = timedelta(minutes=30 if key == "detailedForecast"
else 60)
if day0 <= t < d1:
out.append((t, t + step,
kw * step.total_seconds() / 3600.0))
if out:
return tuple(out)
wh = attrs.get("wh_period")
if isinstance(wh, dict) and wh:
rows = []
for k, v in wh.items():
t = _parse_time(k)
try:
e = float(v)
except (TypeError, ValueError):
continue
if t is not None and math.isfinite(e) and e >= 0:
rows.append((t, e / 1000.0))
rows.sort()
for i, (t, kwh) in enumerate(rows):
nxt = rows[i + 1][0] if i + 1 < len(rows) else t + timedelta(
hours=1)
if nxt - t > timedelta(hours=1) or nxt <= t:
nxt = t + timedelta(hours=1)
if day0 <= t < d1:
out.append((t, nxt, kwh))
return tuple(out)
def _day(state, day0, now, *, today):
"""`(Day, None)` or `(None, why)` from one sensor's state dict."""
if state is None:
return None, MISSING
raw = str(state.get("state", "")).strip()
if raw.lower() in BAD_STATES:
return None, MISSING
try:
v = float(raw)
except ValueError:
return None, BAD
attrs = state.get("attributes") or {}
unit = str(attrs.get("unit_of_measurement") or "").strip()
if unit not in KWH_PER:
return None, UNIT
kwh = v * KWH_PER[unit]
if not math.isfinite(kwh) or kwh < 0:
return None, BAD
periods = _periods(attrs, day0)
if periods and today:
# The split is the whole day; keep what is still to come, scaled so
# it adds up to the state (the state is what the integration says
# is left).
left = sum(k * max(0.0, min(1.0, (e - max(s, now)).total_seconds()
/ (e - s).total_seconds()))
for s, e, k in periods)
if left > 1e-6:
f = kwh / left
periods = tuple((s, e, k * f) for s, e, k in periods)
return Day(day0, kwh, periods), None
def _reported(state):
ts = [_parse_time(state.get(k)) for k in
("last_reported", "last_updated", "last_changed")]
ts = [t for t in ts if t is not None]
return max(ts) if ts else None
def read(today_state, tomorrow_state, now: datetime, *,
configured=True):
"""`(Forecast, None)` or `(None, why)`. `tomorrow_state` may be None
(the option is not set, or the sensor is missing): the forecast then
covers today only."""
if not configured:
return None, NOT_SET
here = now.astimezone(BILLING_TZ)
d0 = datetime(here.year, here.month, here.day, tzinfo=BILLING_TZ)
nd = d0.date() + timedelta(days=1)
d1 = datetime(nd.year, nd.month, nd.day, tzinfo=BILLING_TZ)
day0, day1 = d0.astimezone(timezone.utc), d1.astimezone(timezone.utc)
today, why = _day(today_state, day0, now, today=True)
if today is None:
return None, why
at = _reported(today_state)
if at is None or (now - at).total_seconds() > FRESH_S \
or (at - now).total_seconds() > 300:
return None, STALE
tomorrow = None
if tomorrow_state is not None:
t, _w = _day(tomorrow_state, day1, now, today=False)
t_at = _reported(tomorrow_state)
if t is not None and t_at is not None \
and (now - t_at).total_seconds() <= FRESH_S:
tomorrow = t
return Forecast(today, tomorrow, at), None
+3
View File
@@ -403,6 +403,9 @@
else $("#batt-banner").replaceChildren();
keepFocus(() => {
$("#bcards").replaceChildren(...S.batteries.map(batteryCard));
// OPT-11 P4: the solar forecast line under the cards.
const sl = $("#batt-solar"), line = modes && S.solar ? S.solar.line : "";
if (sl) { sl.textContent = line || ""; sl.hidden = !line; }
if (simpleHost && simpleHost.isConnected) {
simpleHost.replaceChildren(...(modes ? S.batteries.map(simpleRow)
: [h("p", { class: "small muted", style: "margin:4px 0" }, t("batteries.modes_off.name") + ". " + t("batteries.description"))]));
+1
View File
@@ -101,6 +101,7 @@
<a class="btn" href="#settings" data-t="batteries.settings"></a>
</div>
<div id="bcards"></div>
<p class="small muted" id="batt-solar" hidden></p>
<details class="grp" id="batt-how" hidden>
<summary><span class="grow"><strong data-t="batteries.how.name"></strong><span class="small muted gdesc" data-t="batteries.how.description"></span></span><span class="chev" aria-hidden="true">&#8250;</span></summary>
<div class="body small">
+11
View File
@@ -446,7 +446,17 @@
e.textContent = ok ? e.dataset.kwNote.replace("{kw}", window.UX13.kw(mp.peak_w) + " kW") : "";
});
}
// OPT-11 P4: the solar forecast card shows the add-on's forecast line.
function fillSolar() {
const st = window.UX13.status();
const line = st && st.solar ? st.solar.line : "";
document.querySelectorAll("#simple [data-solar-note]").forEach((e) => {
e.textContent = line || "";
e.hidden = !line;
});
}
document.addEventListener("ux13:status", fillNotes);
document.addEventListener("ux13:status", fillSolar);
function simpleField(f) {
const row = fieldRow(f, null, "simple");
row.querySelector(".head").append(chip(f.applies));
@@ -458,6 +468,7 @@
const help = row.querySelector(".help");
if (help) help.textContent = n.description;
}
if (f.note === "forecast") row.append(h("div", { class: "small muted", "data-solar-note": "", hidden: true }));
return h("div", { class: "card" }, row);
}
function renderSimple() {
+6 -2
View File
@@ -119,7 +119,7 @@
"description": "Every setting, grouped by task.",
"view": {"name": "Settings view", "simple": "Simple", "installer": "Installer"},
"simple": {"description": "The choices a home owner makes.",
"note": {"month_peak": {"description": "This month's peak so far: {kw}."}, "shadow": {"description": "Use Always on while you test a new installation."}},
"note": {"month_peak": {"description": "This month's peak so far: {kw}."}, "shadow": {"description": "Use Always on while you test a new installation."}, "forecast": {"description": "With a forecast, a battery buys only what the sun will not give."}},
"batteries": {"name": "Batteries"},
"more": {"description": "Looking for the meter, inverters or prices?"},
"installer": "Open the installer view"},
@@ -334,8 +334,12 @@
"saves": "Saves its power for {at}.",
"saves_later": "Saves its power for higher prices.",
"no_prices": "No prices, so it follows the house.",
"no_spread": "Prices differ too little, so it follows the house."
"no_spread": "Prices differ too little, so it follows the house.",
"sun_fills": "Enough sun is forecast, so it does not charge from the grid.",
"tops_up": "Too little sun is forecast, so it charges some from the grid.",
"no_forecast": "No solar forecast, so it charges from solar only."
},
"solar": {"line": "Solar forecast today: {kwh}, we count on {count}. Updated {at}.", "no_forecast": "No solar forecast now, so Leftover solar charges from solar only.", "learning": "The add-on is learning your house's use. The plan starts tomorrow."},
"today": {
"not_planned": "Not planned yet.",
"no_runs": "No cheap or expensive hours left today.",
+6 -2
View File
@@ -114,7 +114,7 @@
"description": "Elke instelling, per taak.",
"view": {"name": "Weergave van de instellingen", "simple": "Eenvoudig", "installer": "Installateur"},
"simple": {"description": "De keuzes die een eigenaar maakt.",
"note": {"month_peak": {"description": "De piek van deze maand tot nu: {kw}."}, "shadow": {"description": "Kies Altijd aan terwijl u een nieuwe installatie test."}},
"note": {"month_peak": {"description": "De piek van deze maand tot nu: {kw}."}, "shadow": {"description": "Kies Altijd aan terwijl u een nieuwe installatie test."}, "forecast": {"description": "Met een prognose koopt een batterij alleen wat de zon niet geeft."}},
"batteries": {"name": "Batterijen"},
"more": {"description": "Zoekt u de meter, de omvormers of de prijzen?"},
"installer": "De installateursweergave openen"},
@@ -276,8 +276,12 @@
"saves": "Spaart haar stroom voor {at}.",
"saves_later": "Spaart haar stroom voor hogere prijzen.",
"no_prices": "Geen prijzen, dus ze volgt het huis.",
"no_spread": "De prijzen verschillen te weinig, dus ze volgt het huis."
"no_spread": "De prijzen verschillen te weinig, dus ze volgt het huis.",
"sun_fills": "Er is genoeg zon voorspeld, dus ze laadt niet van het net.",
"tops_up": "Te weinig zon voorspeld, dus ze laadt wat van het net.",
"no_forecast": "Geen zonneprognose, dus ze laadt alleen met zonne-energie."
},
"solar": {"line": "Zonneprognose vandaag: {kwh}, we rekenen op {count}. Bijgewerkt om {at}.", "no_forecast": "Nu geen zonneprognose, dus Overschot zonne-energie laadt alleen met zon.", "learning": "De add-on leert eerst het verbruik van uw huis. Het plan start morgen."},
"today": {
"not_planned": "Nog niet gepland.",
"no_runs": "Vandaag geen goedkope of dure uren meer.",
+8 -1
View File
@@ -129,7 +129,14 @@ GROUPS = (
wizard=3),)),
# OPT-11: the switch that turns battery modes on. Each battery's mode
# and on/off switch are runtime state on the Batteries screen.
Part("modes", (Field("battery_modes_enabled", TOGGLE),)),
Part("modes", (
Field("battery_modes_enabled", TOGGLE),
# OPT-11 P4: the solar forecast; today's also on Settings, Simple.
Field("pv_forecast_entity", ENTITY, kind="energy", simple=True,
note="forecast"),
Field("pv_forecast_tomorrow_entity", ENTITY, kind="energy"),
Field("solar_trust_pct", SLIDER, "%", step=5),
)),
)),
Group("tariff", (
Part("", (
+46 -1
View File
@@ -246,6 +246,10 @@ NOT READY banner already names the problem, (b) does not apply.
12. `peak_margin_w` outside 0-500 W, not whole, or not below `peak_cap_w`.
SAFETY-79; the Supervisor checks the range too, but not for sim/inject.py.
13. OPT-11 P4: `solar_trust_pct` outside 30-100 or not whole, or a solar
forecast entity that is not a `sensor.` id. A trust of 0 or 500 % would
make the day plan buy everything or nothing, which no one means.
WHAT IS DELIBERATELY *NOT* REFUSED, because it is untidy rather than unsafe:
- `integrator_max_w` above `max_w`. DOCS.md is right that the only thing the
@@ -326,7 +330,7 @@ WHAT IS DELIBERATELY *NOT* REFUSED, because it is untidy rather than unsafe:
import logging
from typing import NamedTuple
from . import messages, pv
from . import dayplan, messages, pv, solarfc
from .arbitrage import enabled as arbitrage_on
from .control import SLEW_RAIL_FRAC, LOOP_TICK_S, PLANT_SETTLE_S
from .custom_formula import (
@@ -1199,6 +1203,7 @@ def validate_startup_config(opts: dict, dev_min=None, dev_max=None,
# --- 12. SAFETY-79: the margin the peak guard keeps under the limit -----
problems += _margin_problems(opts)
problems += _forecast_problems(opts)
# --- warnings: real, but not worth refusing over -------------------------
integ = opts.get("integrator_max_w")
@@ -1751,6 +1756,8 @@ def _entities_read(opts: dict) -> list[tuple[str, str, str]]:
add("pv_entities" if solar else "pv_entity", list(pv.entities(opts)))
for key in ("peak_forecast_entity", "price_now_entity", "price_avg_entity"):
add(key, opts.get(key))
for key in FORECAST_KEYS:
add(key, opts.get(key))
return out
@@ -1790,6 +1797,19 @@ def _entity_notes(notes, opts: dict, entities: dict, bad=()) -> None:
_advise(notes, "warn", (key,),
f"{entity} reads in {unit}, but {S(key, where)} is "
"taken as watts, so pick a sensor in W.")
if key in FORECAST_KEYS and unit not in solarfc.KWH_PER:
_advise(notes, "warn", (key,),
f"{entity} does not read in kWh, so pick a solar "
"forecast sensor in kWh.")
if any(opts.get(k) for k in FORECAST_KEYS) and \
opts.get("battery_modes_enabled") is not True:
_advise(notes, "info", ("pv_forecast_entity",),
"The solar forecast is used only with battery modes on.")
if opts.get("pv_forecast_tomorrow_entity") and \
not opts.get("pv_forecast_entity"):
_advise(notes, "warn", ("pv_forecast_tomorrow_entity",),
"Tomorrow's forecast is used only with today's, so set "
f"{S('pv_forecast_entity')} too.")
# --------------------------------------------------------------------------- #
@@ -2045,6 +2065,31 @@ def _margin_problems(opts: dict) -> list[str]:
return []
TRUST_RANGE_PCT = (30, 100)
FORECAST_KEYS = ("pv_forecast_entity", "pv_forecast_tomorrow_entity")
def _forecast_problems(opts: dict) -> list[str]:
"""Rule 13 (OPT-11 P4): the trust is a whole percentage in range, and
each forecast entity set is a sensor."""
out = []
raw = opts.get("solar_trust_pct")
trust = _number(opts, "solar_trust_pct", dayplan.DEFAULT_TRUST_PCT)
lo, hi = TRUST_RANGE_PCT
if trust is None or trust != int(trust) or not lo <= trust <= hi:
out.append(f"{S('solar_trust_pct')} must be a whole number from {lo} "
f"to {hi} %. It is {messages.shown(raw)}.")
for key in FORECAST_KEYS:
e = opts.get(key)
if e is None or e == "":
continue
if not isinstance(e, str) or not e.strip().startswith("sensor."):
out.append(f"{S(key)} must be a sensor, like "
f"sensor.energy_production_today_remaining. It is "
f"{messages.shown(e)}.")
return out
def _number(opts: dict, key, default):
raw = opts.get(key, default)
if raw is None or raw == "":