OPT-17: the solar forecast can come from several entities, summed
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New list options pv_forecast_entities and pv_forecast_tomorrow_entities
(same shape as pv_entities); the single-entity keys are unchanged.

- Each member is read in its own unit (Wh/kWh/MWh) in one gather and the
  day is summed. Hourly splits are merged when every member has one, else
  the total goes on the bell.
- A member missing, unavailable, stale, non-energy or bad makes that
  day's forecast unusable (no partial sum). A caution row names it by
  position; the action log names the entity once per change.
- Single key and list both set for one day: refused at start.
- A one-member list behaves exactly like the single key (test_opt17.py);
  the single-key path is byte-identical to e36565f over 24 scenarios.
- Supervisor shape measured: tools/supervisor_shape_probe.py section J.

DECISIONS/OPT-17-several-forecast-entities.md has the rules.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Bdqr7PiaHcBnzPituu2yTC
This commit is contained in:
glenn schrooyen
2026-10-11 02:55:58 +02:00
co-authored by Claude Opus 5.5
parent e36565fe39
commit 9b1fa758ad
13 changed files with 878 additions and 48 deletions
+113 -17
View File
@@ -27,6 +27,11 @@ Without an hourly split, the day's energy is spread over a fixed bell from
A reading older than `FRESH_S`, or from before local midnight, 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.
OPT-17: each day may instead name a list (`pv_forecast_entities`,
`pv_forecast_tomorrow_entities`), summed by `read_sum()`. One member that is
not usable makes that day's sum unusable, never a partial sum.
DECISIONS/OPT-17-several-forecast-entities.md.
"""
import math
@@ -49,6 +54,12 @@ BELL_FROM_H, BELL_TO_H = 6.0, 20.0
NOT_SET, MISSING, UNIT, STALE, BAD = (
"not_set", "missing", "unit", "stale", "bad")
# OPT-17: (single key, list key) per day. A set list replaces the single key;
# the validator refuses both set for the same day.
TODAY_KEYS = ("pv_forecast_entity", "pv_forecast_entities")
TOMORROW_KEYS = ("pv_forecast_tomorrow_entity",
"pv_forecast_tomorrow_entities")
@dataclass(frozen=True)
class Day:
@@ -223,6 +234,52 @@ def _reported(state):
return max(ts) if ts else None
def entities(opts: dict, *, tomorrow=False) -> tuple:
"""The forecast entities one day names, in configured order: the list
if it has any entry, else the single key, else (). A repeated id is
dropped, as `pv.entities()` does: it would count one forecast twice."""
one, many = TOMORROW_KEYS if tomorrow else TODAY_KEYS
listed = [e for e in (str(x or "").strip()
for x in (opts.get(many) or [])) if e]
if listed:
return tuple(dict.fromkeys(listed))
e = str(opts.get(one) or "").strip()
return (e,) if e else ()
def _bounds(now):
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)
return d0.astimezone(timezone.utc), d1.astimezone(timezone.utc)
def _today(state, day0, now):
"""`(Day, at, None)` or `(None, None, why)` for one today sensor."""
today, why = _day(state, day0, now, today=True)
if today is None:
return None, None, why
at = _reported(state)
# A reading from before local midnight is yesterday's "left today" (0
# after sunset) until the integration refreshes: stale, not a dark day.
if at is None or at < day0 or (now - at).total_seconds() > FRESH_S \
or (at - now).total_seconds() > 300:
return None, None, STALE
return today, at, None
def _tomorrow(state, day0, day1, now):
"""`(Day, None)` or `(None, why)` for one tomorrow sensor."""
t, why = _day(state, day1, now, today=False)
if t is None:
return None, why
t_at = _reported(state)
if t_at is None or t_at < day0 or (now - t_at).total_seconds() > FRESH_S:
return None, STALE
return t, None
def read(today_state, tomorrow_state, now: datetime, *,
configured=True):
"""`(Forecast, None)` or `(None, why)`. `tomorrow_state` may be None
@@ -230,25 +287,64 @@ def read(today_state, tomorrow_state, now: datetime, *,
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)
day0, day1 = _bounds(now)
today, at, why = _today(today_state, day0, now)
if today is None:
return None, why
at = _reported(today_state)
# A reading from before local midnight is yesterday's "left today" (0
# after sunset) until the integration refreshes: stale, not a dark day.
if at is None or at < day0 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 t_at >= day0 \
and (now - t_at).total_seconds() <= FRESH_S:
tomorrow = t
tomorrow, _w = _tomorrow(tomorrow_state, day0, day1, now)
return Forecast(today, tomorrow, at), None
def _sum(days):
"""One Day from several members' Days. The hourly split is kept only if
every member has one: the splits are then joined (`_day_between()`
adds overlapping periods). Else the total goes on the bell."""
if len(days) == 1:
return days[0]
periods = ()
if all(d.periods for d in days):
periods = tuple(sorted(p for d in days for p in d.periods))
return Day(days[0].day0, sum(d.kwh for d in days), periods)
def read_sum(today, tomorrow, now: datetime):
"""OPT-17: `(Forecast or None, why, gaps)` over lists of
`(entity, state)`, one per configured member, in configured order.
Each member is read exactly as `read()` reads one sensor, in its own
unit. A member that is missing, unavailable, stale, not in an energy
unit or bad makes that DAY unusable, as one such sensor does today: no
today means no forecast, no tomorrow means today only. A partial sum
would under-count the sun and mislead the day plan.
`gaps` is `((day, position, entity, why), ...)` for every unusable
member (`day` "today" or "tomorrow", `position` 1-based), so the page
and the log can name it. With one member per day the forecast is what
`read()` gives (test_opt17.py proves it)."""
if not today:
return None, NOT_SET, ()
day0, day1 = _bounds(now)
gaps, days, ats, why0 = [], [], [], None
for i, (ent, st) in enumerate(today, 1):
d, at, why = _today(st, day0, now)
if d is None:
gaps.append(("today", i, ent, why))
why0 = why0 or why
else:
days.append(d)
ats.append(at)
tdays = []
for i, (ent, st) in enumerate(tomorrow, 1):
t, why = _tomorrow(st, day0, day1, now)
if t is None:
gaps.append(("tomorrow", i, ent, why))
else:
tdays.append(t)
gaps = tuple(gaps)
if why0 is not None:
return None, why0, gaps
tday = _sum(tdays) if tomorrow and len(tdays) == len(tomorrow) else None
# The oldest member's report is when the sum was last fully known.
return Forecast(_sum(days), tday, min(ats)), None, gaps