Exclude battery ceiling/floor plateaus and enforce a 150W solar minimum in tune's rule proposals
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+85
-9
@@ -14,10 +14,14 @@ TOP_UP_PERCENTILE = 15
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STOP_PERCENTILE = 85
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SURPLUS_RELEASE_PERCENTILE = 60
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SURPLUS_FALLBACK_PERCENTILE = 20
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MIN_CHARGING_SURPLUS = 150
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FLOOR_MARGIN = 10
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MIN_BAND_WIDTH = 15
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PLATEAU_FRACTION = 0.15
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PLATEAU_BAND = 2
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class TuneError(Exception):
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pass
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@@ -79,6 +83,42 @@ def round_to(value, step):
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return round(value / step) * step
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def detect_ceiling_plateau(values, band=PLATEAU_BAND, min_fraction=PLATEAU_FRACTION):
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if not values:
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return None, values
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ceiling = max(values)
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at_ceiling = [v for v in values if v >= ceiling - band]
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fraction = len(at_ceiling) / len(values)
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if fraction < min_fraction:
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return None, values
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below = [v for v in values if v < ceiling - band]
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if len(below) < MIN_SAMPLES_REQUIRED // 4:
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return None, values
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return {"ceiling": ceiling, "fraction": fraction}, below
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def detect_floor_plateau(values, band=PLATEAU_BAND, min_fraction=PLATEAU_FRACTION):
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if not values:
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return None, values
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floor_value = min(values)
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at_floor = [v for v in values if v <= floor_value + band]
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fraction = len(at_floor) / len(values)
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if fraction < min_fraction:
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return None, values
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above = [v for v in values if v > floor_value + band]
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if len(above) < MIN_SAMPLES_REQUIRED // 4:
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return None, values
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return {"floor": floor_value, "fraction": fraction}, above
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def describe_span(seconds):
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hours = seconds / 3600
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if hours >= 48:
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@@ -168,8 +208,11 @@ class Analysis:
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low_bound = max(floor_release, floor_at + FLOOR_MARGIN)
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top_up = percentile(self.battery, TOP_UP_PERCENTILE)
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stop_at = percentile(self.battery, STOP_PERCENTILE)
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ceiling_info, battery_for_high = detect_ceiling_plateau(self.battery)
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floor_info, battery_for_low = detect_floor_plateau(self.battery)
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top_up = percentile(battery_for_low, TOP_UP_PERCENTILE)
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stop_at = percentile(battery_for_high, STOP_PERCENTILE)
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top_up = round_to(top_up, 5)
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stop_at = round_to(stop_at, 5)
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@@ -181,8 +224,8 @@ class Analysis:
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if stop_at <= top_up:
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top_up = max(low_bound, stop_at - MIN_BAND_WIDTH)
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battery_low = percentile(self.battery, 10)
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battery_high = percentile(self.battery, 90)
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battery_low = percentile(battery_for_low, 10)
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battery_high = percentile(battery_for_high, 90)
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proposal = {
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"top_up_at": top_up,
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@@ -192,6 +235,8 @@ class Analysis:
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"sample_count": len(self.records),
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"span_hours": round(self.span_hours, 1),
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"solar": None,
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"ceiling_plateau": ceiling_info,
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"floor_plateau": floor_info,
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}
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positive_surplus = [v for v in self.daylight_surplus() if v > 0]
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@@ -202,6 +247,10 @@ class Analysis:
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release_surplus = round_to(release_surplus, 25)
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fallback_surplus = round_to(fallback_surplus, 25)
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floor_applied = release_surplus < MIN_CHARGING_SURPLUS
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if floor_applied:
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release_surplus = MIN_CHARGING_SURPLUS
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if fallback_surplus >= release_surplus:
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fallback_surplus = max(0, release_surplus - 50)
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@@ -213,6 +262,7 @@ class Analysis:
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else top_up,
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"fallback_battery": top_up,
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"sample_count": len(positive_surplus),
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"floor_applied": floor_applied,
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}
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return proposal
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@@ -227,6 +277,24 @@ class Analysis:
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f"Battery ranged roughly {proposal['observed_low']:g}% to "
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f"{proposal['observed_high']:g}% during that time."
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)
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if proposal.get("ceiling_plateau"):
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plateau = proposal["ceiling_plateau"]
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lines.append(
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f" {plateau['fraction']*100:.0f}% of samples sat at or near "
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f"{plateau['ceiling']:g}% (battery topped out and held there). "
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f"That plateau was excluded when figuring out the charging "
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f"thresholds below, so they reflect real charging behavior "
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f"rather than time spent sitting full."
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)
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if proposal.get("floor_plateau"):
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plateau = proposal["floor_plateau"]
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lines.append(
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f" {plateau['fraction']*100:.0f}% of samples sat at or near "
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f"{plateau['floor']:g}% (battery bottomed out and held there). "
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f"That plateau was excluded the same way."
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)
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lines.append("")
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lines.append(
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f"top up from grid when low: battery <= {proposal['top_up_at']:g}%"
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@@ -251,11 +319,19 @@ class Analysis:
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f"surplus > {solar['release_surplus']:g}W and "
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f"battery > {solar['release_battery']:g}%"
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)
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lines.append(
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f" based on {solar['sample_count']} daylight sample(s); solar "
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f"surplus exceeded this level in the upper "
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f"{100 - SURPLUS_RELEASE_PERCENTILE}% of observed daylight readings"
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)
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if solar.get("floor_applied"):
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lines.append(
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f" raised to {MIN_CHARGING_SURPLUS:g}W, the minimum surplus "
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f"observed to actually charge the battery on this system. "
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f"The raw statistical threshold from "
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f"{solar['sample_count']} daylight sample(s) was lower."
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)
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else:
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lines.append(
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f" based on {solar['sample_count']} daylight sample(s); solar "
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f"surplus exceeded this level in the upper "
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f"{100 - SURPLUS_RELEASE_PERCENTILE}% of observed daylight readings"
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)
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lines.append(
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f"solar cannot keep up, fall back to the grid: "
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f"surplus < {solar['fallback_surplus']:g}W and "
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