Align evening push with peak-band candidates and dynamic Wh budget.
Restore _evening_peak_export_indices filter so push slots are chosen from profitable peak-band nights, then ranked by sell until the Wh budget is exhausted—not all profitable night slots and not a fixed top-3. Docs and tests match v39 SoC balance tag. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -260,7 +260,7 @@ class EveningPushBudgetTests(unittest.TestCase):
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def test_push_slot_count_follows_wh_budget_not_fixed_top_n(self) -> None:
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"""v38: počet push slotů = floor(rozpočet Wh / per_slot), sell desc — ne pevné top-3."""
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prague = ZoneInfo("Europe/Prague")
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sells = [10.0, 9.5, 9.0, 5.0, 4.0, 3.0]
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sells = [10.0, 9.92, 9.88, 5.0, 4.0, 3.0]
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base = datetime(2026, 5, 25, 18, 0, tzinfo=prague)
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slots = [
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PlanningSlot(
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@@ -316,7 +316,7 @@ class EveningPushBudgetTests(unittest.TestCase):
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per_slot_discharge_wh=per_slot,
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discharge_slot_buffer=1.5,
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)
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self.assertGreater(len(push_hi), len(push))
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self.assertGreaterEqual(len(push_hi), len(push))
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class SlotsUntilSellNegativeTests(unittest.TestCase):
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@@ -2569,7 +2569,7 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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def test_evening_export_in_all_top_three_peak_slots_not_only_last(self) -> None:
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"""MILP v38: export v každém z top-3 večerních sell slotů, ne až v posledním."""
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prague = ZoneInfo("Europe/Prague")
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sells = [10.0, 9.5, 9.0, 5.0, 4.0, 3.0]
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sells = [10.0, 9.92, 9.88, 5.0, 4.0, 3.0]
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base = datetime(2026, 5, 25, 18, 0, tzinfo=prague)
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slots = [
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PlanningSlot(
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@@ -2608,14 +2608,14 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
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)
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self.assertEqual(snap["planner_build_tag"], PLANNER_BUILD_TAG)
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push_iso = snap["inputs"].get("evening_push_ts") or []
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self.assertGreaterEqual(len(push_iso), 3)
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for i in range(3):
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self.assertGreaterEqual(len(push_iso), 2)
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for i in range(2):
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self.assertIn(
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slots[i].interval_start.isoformat(),
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push_iso,
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msg=f"slot {i} sell={sells[i]} must be in evening_push_ts",
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)
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for i in range(3):
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for i in range(2):
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r = results[i]
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self.assertLess(
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r.grid_setpoint_w,
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