OPT-11 P1: per-battery mode limits, on/off, solar order
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A battery's mode is a soft unit limit (source `mode`, P_MODE 35) kept
apart from the hard limits in pre_resolve(). The allocator applies it
only while the site target is decided at or below 35 (new
Resolution.deciding_priority), so the peak floor releases it and a mode
`hi` never meets the site `lo`. At N=1 resolve() applies the same rule
to the site target after stage 2. A mode range without 0 W is dropped
as a software fault, so REFUSE_SIGN stays unreachable from a mode.

compute() gets the loop bound (sum over live units of hard limits with
modes applied), so the loop never asks for watts no battery may give
and the saturation freeze never parks on them. While charging, Leftover
solar weighs 0 so Solar first fills first. Store keys pack_use and
pack_mode per battery, set by two new /action values; Off stops and
skips maintenance with a log line. Minimal Batteries cards (EN/NL).

Off by default (battery_modes_enabled); off, commands are byte-identical
to a5dddad at N=1 and N=2 (test_modes.py part 1).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Claude dev agent
2026-09-28 18:51:29 +02:00
parent a5dddadf45
commit d69fd8fbfd
25 changed files with 1873 additions and 64 deletions
+97 -9
View File
@@ -86,8 +86,17 @@ P_MAINT_SHAPE = 40 # maintenance shaping the loop (charge-only)
# because trading against the meter is the entire point - the grid-following
# loop would otherwise cancel every charge the moment it created import.
P_ARBITRAGE = 30 # price arbitrage - trades against the meter on purpose
# OPT-11. A battery's mode (Solar first, Leftover solar, Off): a SOFT unit
# limit, kept apart from the hard ones and applied only while the site target
# is decided at or below this priority. Above arbitrage, so a trade stays inside
# each battery's mode; below the peak guard, which releases every mode.
# DECISIONS/OPT-11-battery-modes.md.
P_MODE = 35
P_LOOP = 10 # ordinary grid-following
# The one source filed at P_MODE. pre_resolve() keeps it out of the hard limits.
MODE_SOURCE = "mode"
SET = "set"
LIMIT = "limit"
@@ -238,6 +247,13 @@ CLAIM_SCOPE = {
# this pack to its floor, charge this pack to full, recalibrate this pack's
# coulomb counter. Two packs recalibrate on their own schedules.
"maintenance": SCOPE_UNIT,
# main.py: `Claim.limit("mode", P_MODE, lo, hi, ...)`, OPT-11. THIS
# battery's mode, chosen per battery by its owner. A unit claim that never
# enters a `lo > hi` test with a site limit: stage 1 keeps it apart from the
# hard limits, and stage 3 applies it only when the site target was decided
# at or below P_MODE. At N=1 it routes to the site like every source, and
# `resolve()` takes it out of stage 2 for the same reason.
"mode": SCOPE_UNIT,
}
@@ -365,6 +381,13 @@ class UnitBounds:
pinned_w: float | None = None
pinned_by: str | None = None
contradiction: bool = False
# OPT-11: the mode layer, APART from `lo`/`hi` above, which stay the hard
# limits. `mode_priority` is None when no mode claim applies. Whether the
# mode binds is decided at stage 3 (`allocator.unit_interval()`), because it
# depends on the priority that decided the SITE target.
mode_lo: float = -inf
mode_hi: float = inf
mode_priority: int | None = None
def explain(self) -> str:
if self.contradiction:
@@ -410,6 +433,14 @@ class Resolution:
# rules drifting apart: this is set by the same line that picks the winner
# `explain()` names.
winner_priority: int | None = None
# OPT-11. The higher of the winning set's priority and the priority of the
# limit that bound `target_w`. Stage 3 applies each unit's mode only when
# this is at or below that mode's priority (P_MODE), so a peak floor that
# binds S (P_PEAK) releases every mode and never meets a mode `hi`.
deciding_priority: int | None = None
# OPT-11 at N=1: why the site's mode layer was dropped this tick, or None.
# At N>1 the same fact is on `allocation.mode_faults`, per unit.
mode_fault: str | None = None
def explain(self) -> str:
"""One line an operator can act on - this is the point of the module."""
@@ -433,7 +464,8 @@ def pre_resolve(unit_claims: list) -> UnitBounds:
of the fault this card removes, and the reason `resolve()` partitions rather
than filters twice.
"""
sets = sorted((c for c in unit_claims if c.kind == SET),
sets = sorted((c for c in unit_claims
if c.kind == SET and c.source != MODE_SOURCE),
key=lambda c: c.priority, reverse=True)
gate = pinned_w = pinned_by = None
if sets:
@@ -441,19 +473,30 @@ def pre_resolve(unit_claims: list) -> UnitBounds:
lo, hi = -inf, inf
lo_src = hi_src = None
# OPT-11: a mode claim never joins the hard limits, so a mode cannot make a
# unit contradict itself or narrow a pin. A mode SET is not a thing: only
# limits are read. The lowest mode priority is kept (the first to release).
mode_lo, mode_hi, mode_priority = -inf, inf, None
for c in unit_claims:
if c.kind != LIMIT or (gate is not None and c.priority < gate):
continue
if c.source == MODE_SOURCE:
mode_lo, mode_hi = max(mode_lo, c.lo), min(mode_hi, c.hi)
mode_priority = (c.priority if mode_priority is None
else min(mode_priority, c.priority))
continue
if c.lo > lo:
lo, lo_src = c.lo, c.source
if c.hi < hi:
hi, hi_src = c.hi, c.source
return UnitBounds(lo, hi, lo_src, hi_src, gate, pinned_w, pinned_by,
contradiction=lo > hi)
contradiction=lo > hi, mode_lo=mode_lo, mode_hi=mode_hi,
mode_priority=mode_priority)
def allocate(target_w: float, bounds: dict, *, weights=None, live=None,
scope_errors=(), site_priority=None) -> tuple:
scope_errors=(), site_priority=None,
deciding_priority=None) -> tuple:
"""STAGE 3. THE SEAM, AND SINCE ALLOC-01 IT IS OCCUPIED. `(shares, allocated)`.
⚠️ THE ALLOCATOR ITSELF IS `app/allocator.py` AND THE REASONING LIVES THERE.
@@ -491,11 +534,13 @@ def allocate(target_w: float, bounds: dict, *, weights=None, live=None,
"""
return allocate_record(target_w, bounds, weights=weights, live=live,
scope_errors=scope_errors,
site_priority=site_priority)[:2]
site_priority=site_priority,
deciding_priority=deciding_priority)[:2]
def allocate_record(target_w: float, bounds: dict, *, weights=None, live=None,
scope_errors=(), site_priority=None, tick=None) -> tuple:
scope_errors=(), site_priority=None, tick=None,
deciding_priority=None) -> tuple:
"""`allocate()` plus the record - `(shares, allocated, allocation)`.
`tick` is SAFETY-28's freshness token: it identifies the tick the record is
@@ -507,7 +552,7 @@ def allocate_record(target_w: float, bounds: dict, *, weights=None, live=None,
rec = allocator.plan(target_w, bounds, weights=weights, live=live,
scope_errors=scope_errors,
site_priority=site_priority, site_key=ACTUATOR_SITE,
tick=tick)
tick=tick, deciding_priority=deciding_priority)
return rec.shares, rec.ok, rec
@@ -544,19 +589,26 @@ def site_resolve(claims: list) -> Resolution:
considered = [f"{c.source}:{c.kind}" for c in claims]
if lo > hi:
# OPT-11: 0 W here, and every limit that took part counts as deciding.
return Resolution(0.0, winner.source, bound_by=None,
contradiction=True, considered=considered,
winner_priority=winner.priority)
winner_priority=winner.priority,
deciding_priority=max(winner.priority,
lo_src.priority,
hi_src.priority))
target = max(lo, min(hi, winner.value))
bound_by = None
deciding = winner.priority
if target != winner.value:
binder = lo_src if target == lo else hi_src
if binder is not None:
bound_by = f"{binder.source}({binder.reason})" if binder.reason else binder.source
deciding = max(deciding, binder.priority)
return Resolution(float(target), winner.source, bound_by, False, considered,
winner_priority=winner.priority)
winner_priority=winner.priority,
deciding_priority=deciding)
def resolve(claims: list, *, units=None, weights=None, live=None,
@@ -606,6 +658,12 @@ def resolve(claims: list, *, units=None, weights=None, live=None,
written down.
"""
site_claims = [c for c in claims if c.actuator == ACTUATOR_SITE]
# OPT-11: a mode claim on the site (N=1, where every source routes there)
# never enters stage 2's `lo > hi` test. It is applied after it, below, by
# the same release rule stage 3 uses.
site_modes = [c for c in site_claims if c.source == MODE_SOURCE]
if site_modes:
site_claims = [c for c in site_claims if c.source != MODE_SOURCE]
if units is None:
units = {c.actuator for c in claims if c.actuator != ACTUATOR_SITE}
units = tuple(sorted(units))
@@ -617,6 +675,8 @@ def resolve(claims: list, *, units=None, weights=None, live=None,
# STAGE 2 - the site claims become the grid target. At N=1 `site_claims` IS
# `claims`, so this is the shipped arbiter on the shipped list.
out = site_resolve(site_claims)
if site_modes:
_site_mode(out, site_modes)
# STAGE 3 - the seam, and since ALLOC-01 the allocator behind it.
#
@@ -654,5 +714,33 @@ def resolve(claims: list, *, units=None, weights=None, live=None,
out.shares, out.allocated, out.allocation = allocate_record(
out.target_w, bounds, weights=weights, live=live,
scope_errors=out.scope_errors, site_priority=out.winner_priority,
tick=tick)
tick=tick, deciding_priority=out.deciding_priority)
return out
def _site_mode(out: Resolution, modes: list) -> None:
"""OPT-11 at N=1: the one battery's mode bounds the SITE target, after stage 2.
The unit rule of `allocator.unit_interval()` on the site: the mode applies
only when stage 2 decided at or below its priority, and a range without 0 W
is a software fault that drops the mode (`out.mode_fault`). A clamp of one
number into a range that holds 0 cannot contradict anything, so the peak
floor still wins by releasing the mode, as at N>1.
"""
out.considered = out.considered + [f"{c.source}:{c.kind}" for c in modes]
lims = [c for c in modes if c.kind == LIMIT]
if not lims or out.contradiction:
return
lo = max(c.lo for c in lims)
hi = min(c.hi for c in lims)
prio = min(c.priority for c in lims)
if not (lo <= 0.0 <= hi):
out.mode_fault = f"mode range [{lo:.0f}, {hi:.0f}] leaves out 0 W"
return
if out.deciding_priority is not None and out.deciding_priority > prio:
return
target = max(lo, min(hi, out.target_w))
if target != out.target_w:
c = lims[0]
out.bound_by = f"{c.source}({c.reason})" if c.reason else c.source
out.target_w = float(target)