zkraceni intervalu planneru na max 35h

backend/tests/test_planning_dispatch_milp.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import unittest
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from types import SimpleNamespace
 
 from services.planning_engine import (
@@ -128,7 +128,6 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             50.0,
             tuv_delta_stats=None,
             operating_mode="AUTO",
-            price_failsafe_active=False,
         )
         self.assertGreaterEqual(ms, 0)
         self.assertEqual(len(results), 1)
@@ -169,7 +168,6 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             50.0,
             tuv_delta_stats=None,
             operating_mode="AUTO",
-            price_failsafe_active=False,
         )
         self.assertEqual(len(results), 2)
 
@@ -206,7 +204,6 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             50.0,
             tuv_delta_stats=None,
             operating_mode="AUTO",
-            price_failsafe_active=False,
         )
         self.assertGreaterEqual(results[0].grid_setpoint_w, 0)
 
@@ -247,7 +244,6 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             50.0,
             tuv_delta_stats=None,
             operating_mode="AUTO",
-            price_failsafe_active=False,
         )
         reserve_pct = 20.0
         for r in results:
@@ -302,7 +298,6 @@ class PlanningDispatchMilpTests(unittest.TestCase):
             50.0,
             tuv_delta_stats=None,
             operating_mode="AUTO",
-            price_failsafe_active=False,
         )
         self.assertEqual(len(results), 3)
         self.assertGreaterEqual(
@@ -312,5 +307,79 @@ class PlanningDispatchMilpTests(unittest.TestCase):
         )
 
 
+class TerminalSocShadowTests(unittest.TestCase):
+    """Terminal SoC shadow price v objective drží konec horizontu nad holým minimem."""
+
+    def test_terminal_soc_shadow_price_prevents_drain(self) -> None:
+        base = datetime(2026, 4, 3, 12, 0, tzinfo=timezone.utc)
+        slots = []
+        for i in range(3):
+            slots.append(
+                PlanningSlot(
+                    interval_start=base + timedelta(minutes=15 * i),
+                    buy_price=2.0,
+                    sell_price=0.6,
+                    pv_a_forecast_w=0,
+                    pv_b_forecast_w=0,
+                    load_baseline_w=600,
+                    ev1_connected=False,
+                    ev2_connected=False,
+                    is_predicted_price=False,
+                )
+            )
+        slots.append(
+            PlanningSlot(
+                interval_start=base + timedelta(minutes=45),
+                buy_price=2.0,
+                sell_price=14.0,
+                pv_a_forecast_w=0,
+                pv_b_forecast_w=0,
+                load_baseline_w=600,
+                ev1_connected=False,
+                ev2_connected=False,
+                is_predicted_price=False,
+            )
+        )
+        battery = _battery(uc_wh=12_000.0, min_pct=12.0, arb_pct=20.0)
+        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=20_000, max_export_power_w=20_000)
+        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,
+            ),
+        ]
+        soc0 = 0.5 * battery.usable_capacity_wh
+        results, _ms = solve_dispatch(
+            slots,
+            battery,
+            hp,
+            grid,
+            [None, None],
+            vehicles,
+            soc0,
+            50.0,
+            tuv_delta_stats=None,
+            operating_mode="AUTO",
+        )
+        self.assertEqual(len(results), 4)
+        # Bez shadow price by solver mohl končit u min SoC; kotva drží znatelnou rezervu.
+        self.assertGreaterEqual(
+            results[-1].battery_soc_target,
+            15.0,
+            msg="terminal SoC shadow price should keep end-of-horizon SoC above bare minimum",
+        )
+
+
 if __name__ == "__main__":
     unittest.main()