Branch 2: home-01 neg-večer — export k reserve_soc, fix pos_sell_pre_neg_buy + oddělit evening_push od prep relax

backend/tests/test_planning_dispatch_milp.py

@@ -3326,8 +3326,8 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
         self.assertFalse(snap["inputs"].get("evening_push_hard_suppressed"))
         self.assertLess(results[0].grid_setpoint_w, -1000)
 
-    def test_relaxed_neg_prep_suppresses_hard_push_only(self) -> None:
-        """v57: relaxed_neg_prep_window vypne jen tvrdý push, ne seznam slotů."""
+    def test_relaxed_neg_prep_keeps_hard_push_v64(self) -> None:
+        """v64: relaxed_neg_prep_window nesmí vypnout tvrdý evening push (jen fallback)."""
         prague = ZoneInfo("Europe/Prague")
         slots = [
             PlanningSlot(
@@ -3377,7 +3377,7 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
             current_tuv_temp_c=55.0,
             relaxed_neg_prep_window=True,
         )
-        self.assertTrue(snap["inputs"].get("evening_push_hard_suppressed"))
+        self.assertFalse(snap["inputs"].get("evening_push_hard_suppressed"))
         push_iso = snap["inputs"].get("evening_push_ts") or []
         self.assertGreaterEqual(len(push_iso), 1)
 
@@ -3458,6 +3458,93 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
             ],
         )
 
+    def test_future_neg_buy_evening_export_at_high_soc_relaxed_prep(self) -> None:
+        """v64: před buy<0 večerní export i při relaxed_neg_prep_window (neg-evening bundle)."""
+        prague = ZoneInfo("Europe/Prague")
+        base = datetime(2026, 6, 6, 19, 0, tzinfo=prague).astimezone(timezone.utc)
+        slots: list[PlanningSlot] = []
+        for i in range(96):
+            local = (base + timedelta(minutes=15 * i)).astimezone(prague)
+            d, h, m = local.day, local.hour, local.minute
+            hm = h + m / 60.0
+            if d == 6:
+                buy, sell = 3.0, 5.3
+                pv_a, pv_b = 0, 0
+            else:
+                sell = -0.2 if hm >= 5.75 and hm < 15 else 2.5
+                buy = -0.5 if 11 <= hm < 14 else 2.0
+                pv_a = 6000 if 8 <= h < 16 else 200
+                pv_b = 8000 if 8 <= h < 16 else 200
+            slots.append(
+                PlanningSlot(
+                    interval_start=base + timedelta(minutes=15 * i),
+                    buy_price=buy,
+                    sell_price=sell,
+                    pv_a_forecast_w=pv_a,
+                    pv_b_forecast_w=pv_b,
+                    load_baseline_w=500,
+                    ev1_connected=False,
+                    ev2_connected=False,
+                    allow_charge=True,
+                    allow_discharge_export=True,
+                    charge_acquisition_buy_czk_kwh=0.8,
+                )
+            )
+        bat = _battery(uc_wh=64_000.0, arb_pct=20.0, terminal_soc_value_factor=0.0)
+        bat.max_discharge_power_w = 18_000
+        bat.max_charge_power_w = 18_000
+        bat.planner_neg_sell_prep_soc_percent = 80
+        bat.planner_neg_sell_full_soc_tail_slots = 4
+        hp = SimpleNamespace(rated_heating_power_w=0, tuv_min_temp_c=45.0, tuv_target_temp_c=55.0)
+        grid = SimpleNamespace(
+            max_import_power_w=17_000,
+            max_export_power_w=13_500,
+            block_export_on_negative_sell=False,
+            purchase_pricing_mode="spot",
+        )
+        vehicles = [
+            SimpleNamespace(max_charge_power_w=0, battery_capacity_kwh=1.0, default_target_soc_pct=80.0),
+            SimpleNamespace(max_charge_power_w=0, battery_capacity_kwh=1.0, default_target_soc_pct=80.0),
+        ]
+        relax_kw = dict(
+            relaxed_expensive_import=True,
+            relaxed_neg_buy_charge=True,
+            relaxed_neg_prep_hold_only=True,
+            relaxed_neg_prep_window=True,
+        )
+        results_hi, _ms, snap_hi = solve_dispatch(
+            slots,
+            bat,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            0.81 * bat.soc_max_wh,
+            50.0,
+            operating_mode="AUTO",
+            **relax_kw,
+        )
+        self.assertTrue(snap_hi["inputs"].get("future_neg_buy_discharge"))
+        self.assertGreater(len(snap_hi["inputs"].get("neg_evening_push_slots") or []), 0)
+        self.assertLess(results_hi[0].grid_setpoint_w, -1000)
+        self.assertLess(results_hi[0].battery_soc_target, 80.0)
+
+        results_mid, _ms2, snap_mid = solve_dispatch(
+            slots,
+            bat,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            0.35 * bat.soc_max_wh,
+            50.0,
+            operating_mode="AUTO",
+            **relax_kw,
+        )
+        self.assertFalse(snap_mid["inputs"].get("evening_push_hard_suppressed"))
+        self.assertFalse(snap_mid["inputs"].get("neg_sell_phases_fallback"))
+        self.assertLess(results_mid[0].grid_setpoint_w, -1000)
+
     def test_kv1_evening_push_profitable_vs_morning_zone_peak(self) -> None:
         """v52: KV1 večer ≥ ranní max (5–11) − degrad; pod prahem ne."""
         prague = ZoneInfo("Europe/Prague")