dasli fix

backend/tests/test_planning_dispatch_milp.py

@@ -3698,6 +3698,90 @@ class ChargeAcquisitionArbitrageTests(unittest.TestCase):
         self.assertLess(results[0].grid_setpoint_w, -500)
         self.assertLess(results[0].battery_soc_target, 70.0)
 
+    def test_degraded_relaxed_solver_no_night_dump_and_self_consume(self) -> None:
+        """relaxed_solver_masks: žádný večerní dump za ~2,5 Kč; noc dům z baterie, ne import ~4 Kč."""
+        prague = ZoneInfo("Europe/Prague")
+        base = datetime(2026, 6, 6, 21, 30, tzinfo=prague).astimezone(timezone.utc)
+        rows: list[tuple[float, float, int]] = [
+            (4.66, 2.85, 780),
+            (4.48, 2.72, 780),
+            (4.76, 2.92, 450),
+            (4.35, 2.61, 450),
+            (4.06, 2.40, 440),
+            (3.80, 2.20, 440),
+            (3.76, 2.17, 440),
+            (3.48, 1.96, 440),
+            (3.76, 2.17, 460),
+            (3.48, 1.96, 460),
+            (3.34, 1.85, 460),
+            (3.03, 1.61, 460),
+        ]
+        slots: list[PlanningSlot] = []
+        for i in range(48):
+            local = (base + timedelta(minutes=15 * i)).astimezone(prague)
+            if i < len(rows):
+                buy, sell, load = rows[i]
+                pv_a, pv_b = 0, 0
+            elif local.hour >= 5 and local.hour < 12:
+                buy, sell, load, pv_a, pv_b = 0.5, -0.3, 800, 2000, 2500
+            else:
+                buy, sell, load, pv_a, pv_b = 3.0, 2.0, 500, 0, 0
+            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=load,
+                    ev1_connected=False,
+                    ev2_connected=False,
+                    allow_charge=True,
+                    allow_discharge_export=sell >= 0,
+                )
+            )
+        bat = _battery(uc_wh=64_000.0, arb_pct=20.0, terminal_soc_value_factor=0.9)
+        bat.planner_neg_sell_prep_soc_percent = 100.0
+        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),
+        ]
+        soc = 0.71 * bat.soc_max_wh
+        results, _ms, snap = solve_dispatch(
+            slots,
+            bat,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            soc,
+            50.0,
+            operating_mode="AUTO",
+            relaxed_expensive_import=True,
+            relaxed_neg_buy_charge=True,
+            relaxed_neg_prep_hold_only=True,
+            relaxed_neg_prep_window=True,
+            neg_sell_phases_fallback=True,
+            relaxed_pos_sell_ge_block=True,
+            relaxed_solver_masks=True,
+        )
+        inp = snap.get("inputs") or {}
+        self.assertTrue(inp.get("relaxed_solver_masks"))
+        self.assertGreater(len(inp.get("degraded_relaxed_night_ts") or []), 0)
+        for i, r in enumerate(results[:12]):
+            self.assertGreaterEqual(r.battery_soc_target, 10.0)
+            if i < 4:
+                self.assertGreater(r.grid_setpoint_w, -500, msg=f"slot {i} evening dump")
+            if 8 <= i <= 11 and rows[i][0] > 3.0:
+                self.assertLessEqual(r.grid_setpoint_w, rows[i][2] + 50, msg=f"slot {i} grid import")
+
     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")