Fáze 2/3: rozšířený penalty audit + prototyp čistého jádra

Penalty audit (6 fixtures vč. evening_push a extreme_neg_buy):
- stejných 16/26 penalt mrtvých i na rozšířeném pokrytí
  (vč. EVENING_PUSH_Z_EXPORT_BONUS=2500 na evening-push dni)
- žádná penalta nezpůsobuje Infeasible 2026-05-01 (strukturální problém)
- Σpenalty 7978 Kč vs cashflow −614 Kč

clean_core_prototype.py: čistý ekonomický MILP (bez heuristických penalt) na
IDENTICKÝCH vstupech fixtures vs golden snapshoty současného plánovače:
- lepší na všech 5 řešitelných fixtures, celkem +266 Kč (+25 %) za horizonty
- extrémní den 2026-05-01: current INFEASIBLE → clean OK (−713 Kč zisk)
- férové: současné plány mají hp/ev setpointy 0, čistý dispatch srovnání

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

scripts/harness/clean_core_prototype.py

@@ -0,0 +1,115 @@
+#!/usr/bin/env python3
+"""
+Fáze 3 (teaser) – prototyp čistého jádra plánovače nad golden fixtures.
+
+Vezme STEJNÉ vstupy jako produkční solver (golden fixtures: forecast PV, baseline
+load, efektivní ceny, battery/grid context) a vyřeší je ČISTÝM ekonomickým MILP
+(scripts/harness/economics_report.solve_oracle): cash + degradace + terminal SoC,
+tvrdá pravidla (block_export_on_negative_sell, curtail jen pole A, výkonové stropy),
+ŽÁDNÉ heuristické penalty.
+
+Porovná s výsledkem současného plánovače (golden snapshoty):
+  - cashflow current vs clean na identických vstupech (modelované Kč),
+  - feasibility (extrémní den 2026-05-01 je pro současný plánovač Infeasible).
+
+Není to produkční náhrada (chybí EV deadline, TČ/TUV, provozní režimy) — je to
+měření, kolik ekonomiky stojí heuristická vrstva. Spouštět z backend/:
+  python3 ../scripts/harness/clean_core_prototype.py
+"""
+
+from __future__ import annotations
+
+import importlib.util
+import json
+import sys
+from datetime import datetime
+from pathlib import Path
+
+HARNESS = Path(__file__).resolve().parent
+BACKEND = HARNESS.parents[1] / "backend"
+sys.path.insert(0, str(BACKEND))
+
+_spec = importlib.util.spec_from_file_location("econ", HARNESS / "economics_report.py")
+econ = importlib.util.module_from_spec(_spec)
+sys.modules["econ"] = econ  # dataclasses vyžadují modul v sys.modules
+_spec.loader.exec_module(econ)
+
+FIXTURES = sorted((BACKEND / "tests" / "golden" / "fixtures").glob("*.json"))
+SNAPSHOTS = BACKEND / "tests" / "golden" / "snapshots"
+
+
+def _fixture_to_inputs(fx: dict):
+    ctx = fx["context_json"]
+    b = ctx["battery"]
+    bat = econ.BatteryParams(
+        usable_wh=float(b["usable_capacity_wh"]),
+        min_soc_wh=float(b["min_soc_wh"]),
+        soc_max_wh=float(b.get("planner_soc_max_wh", b["soc_max_wh"])),
+        charge_eff=float(b["charge_efficiency"]),
+        discharge_eff=float(b["discharge_efficiency"]),
+        max_charge_w=float(b["max_charge_power_w"]),
+        max_discharge_w=float(b["max_discharge_power_w"]),
+        degradation_czk_kwh=float(b["degradation_cost_czk_kwh"]),
+    )
+    g = ctx["grid"]
+    grid = {
+        "max_import_w": float(g["max_import_power_w"]),
+        "max_export_w": float(g["max_export_power_w"]),
+        "block_export_on_negative_sell": bool(g.get("block_export_on_negative_sell") or False),
+    }
+    slots = []
+    for r in fx["slot_rows"]:
+        # forecast (W) → energie slotu (Wh): ×0.25 h
+        slots.append(
+            econ.DaySlot(
+                interval_start=datetime.fromisoformat(r["interval_start"]),
+                buy=float(r["buy_price"]),
+                sell=float(r["sell_price"]),
+                pv_a_wh=float(r["pv_a_forecast_w"] or 0) * 0.25,
+                pv_b_wh=float(r["pv_b_forecast_w"] or 0) * 0.25,
+                load_wh=float(r["load_baseline_w"] or 0) * 0.25,
+                grid_import_wh=0.0,
+                grid_export_wh=0.0,
+                soc_pct=None,
+            )
+        )
+    soc0 = float(ctx["soc_wh"])
+    return slots, bat, grid, soc0
+
+
+def main() -> None:
+    header = (
+        f"{'fixture':<42} {'current':>9} {'clean':>9} {'Δ':>8}  pozn."
+    )
+    print("# Clean core prototyp vs současný plánovač (modelovaný cashflow, Kč/horizont)")
+    print("# Δ < 0 = čisté jádro vydělá víc na stejných vstupech (bez SoC adjustu — terminal value v objective obou)")
+    print()
+    print(header)
+    print("-" * len(header))
+    total_cur = total_clean = 0.0
+    for path in FIXTURES:
+        fx = json.loads(path.read_text(encoding="utf-8"))
+        slots, bat, grid, soc0 = _fixture_to_inputs(fx)
+        avg_buy = sum(s.buy for s in slots[: 96]) / min(96, len(slots))
+        factor = float(fx["context_json"]["battery"].get("planner_terminal_soc_value_factor") or 1.0)
+        cash, soc_end = econ.solve_oracle(slots, bat, grid, soc0, avg_buy * factor)
+        # SoC-fér: ocenit koncový SoC stejně jako terminal value
+        clean_adj = cash - soc_end / 1000.0 * avg_buy * factor
+
+        snap = json.loads((SNAPSHOTS / path.name).read_text(encoding="utf-8"))
+        if "solver_error" in snap:
+            print(f"{path.stem:<42} {'INFEAS':>9} {clean_adj:>9.1f} {'—':>8}  current selhal, clean OK")
+            continue
+        cur_cash = snap["totals"]["cashflow_czk"]
+        cur_soc_end = snap["slots"][-1]["battery_soc_target"] / 100.0 * bat.usable_wh
+        cur_adj = cur_cash - cur_soc_end / 1000.0 * avg_buy * factor
+        d = clean_adj - cur_adj
+        total_cur += cur_adj
+        total_clean += clean_adj
+        print(f"{path.stem:<42} {cur_adj:>9.1f} {clean_adj:>9.1f} {d:>8.1f}")
+    print("-" * len(header))
+    print(f"{'CELKEM (bez infeasible)':<42} {total_cur:>9.1f} {total_clean:>9.1f} {total_clean - total_cur:>8.1f}")
+
+
+if __name__ == "__main__":
+    main()

scripts/harness/penalty_audit_baseline_2026-06-11.txt

@@ -1,35 +1,35 @@
 # Δcashflow: záporné = plán bez penalty vydělá víc (modelované Kč za horizonty fixtures)
 
-baseline: cashflow -440.4 Kč, penalty 2140.1 Kč
+baseline: cashflow -613.6 Kč, penalty 7977.9 Kč; infeasible fixtures: ['home-01_2026-05-01_extreme_neg_buy']
 
 konstanta                                                 hodnota    Δcash  Δpenalty Δsloty  bind
 -------------------------------------------------------------------------------------------------
-CURTAILMENT_PENALTY                                         0.001      0.0    -134.4      0  NE (mrtvá?)
+CURTAILMENT_PENALTY                                         0.001      0.0    -284.5      0  NE (mrtvá?)
 EVENING_PUSH_Z_EXPORT_BONUS_CZK                            2500.0      0.0       0.0      0  NE (mrtvá?)
 LOAD_FIRST_INCENTIVE_CZK_KWH                                 0.05      0.0       0.0      0  NE (mrtvá?)
 NEG_BUY_CHARGE_SHORTFALL_PENALTY_CZK_KWH                    100.0      0.0       0.0      0  NE (mrtvá?)
 NEG_EVENING_PREP_DISCHARGE_SHORTFALL_PENALTY_CZK_KWH        120.0      0.0       0.0      0  NE (mrtvá?)
-NEG_EVENING_RESERVE_SOC_SLACK_PENALTY_CZK_PER_WH             55.0      1.0     -11.7      3  ano
+NEG_EVENING_RESERVE_SOC_SLACK_PENALTY_CZK_PER_WH             55.0      2.2     -31.7      7  ano
 NEG_SELL_BAT_DUMP_SHORTFALL_PENALTY_CZK_KWH                  80.0      0.0       0.0      0  NE (mrtvá?)
 NEG_SELL_CURTAIL_PENALTY_CZK_KWH                              1.0      0.0       0.0      0  NE (mrtvá?)
 NEG_SELL_POST_DETACH_BCPV_DISCOURAGE_CZK_KWH                250.0      0.0       0.0      0  NE (mrtvá?)
 NEG_SELL_PREP_HOLD_BCPV_PENALTY_CZK_KWH                      60.0      0.0       0.0      0  NE (mrtvá?)
 NEG_SELL_PREP_SOC_SHORTFALL_PENALTY_CZK_PER_WH               0.85      0.0       0.0      0  NE (mrtvá?)
-NEG_SELL_PV_B_VENT_PENALTY_CZK_KWH                            4.0      7.5     -50.9     19  ano
+NEG_SELL_PV_B_VENT_PENALTY_CZK_KWH                            4.0     14.8    -113.8     34  ano
 NEG_SELL_PV_CHARGE_REWARD_CZK_KWH                             0.8      0.0       0.0      0  NE (mrtvá?)
-NEG_SELL_SOC_UNDERFILL_PENALTY_CZK_PER_WH                    0.35      1.3    -539.8     13  ano
+NEG_SELL_SOC_UNDERFILL_PENALTY_CZK_PER_WH                    0.35     10.0   -3903.3     40  ano
 NIGHT_SELF_CONSUME_IMPORT_SURCHARGE_CZK_KWH                   4.0      0.3      -0.5     10  ano
-PEAK_EXPORT_SHORTFALL_PENALTY_CZK_KWH                        80.0     33.1     -18.0     19  ano
+PEAK_EXPORT_SHORTFALL_PENALTY_CZK_KWH                        80.0     33.1    -828.0     19  ano
-POS_SELL_PRE_NEG_SOC_SHORTFALL_PENALTY_CZK_PER_WH             0.3    -20.6     481.2     13  ano
+POS_SELL_PRE_NEG_SOC_SHORTFALL_PENALTY_CZK_PER_WH             0.3    -21.8     649.1     29  ano
 PRENEG_SELL_SOC_ANCHOR_SLACK_PENALTY_CZK_PER_WH               0.2      0.0       0.0      0  NE (mrtvá?)
-PRE_NEG_BATT_EXPORT_SHORTFALL_PENALTY_CZK_KWH                80.0     -2.6       0.0     23  ano
+PRE_NEG_BATT_EXPORT_SHORTFALL_PENALTY_CZK_KWH                80.0      4.0    -111.6     56  ano
 PRE_NEG_BUY_EMPTY_EXPORT_SHORTFALL_PENALTY_CZK_KWH           80.0      0.0       0.0      0  NE (mrtvá?)
-PRE_NEG_BUY_PV_CHARGE_PENALTY_CZK_KWH                       250.0      1.3     -78.4     12  ano
+PRE_NEG_BUY_PV_CHARGE_PENALTY_CZK_KWH                       250.0      7.1     -45.1     24  ano
-PRE_NEG_BUY_SOC_CEILING_SLACK_PENALTY_CZK_PER_WH             0.25     20.3   -1480.0     33  ano
+PRE_NEG_BUY_SOC_CEILING_SLACK_PENALTY_CZK_PER_WH             0.25     25.5   -2149.7     56  ano
 PRE_NEG_CHARGE_PENALTY_CZK_KWH                              400.0      0.0       0.0      0  NE (mrtvá?)
 PRE_NEG_PV_BCPV_DISCOURAGE_CZK_KWH                           90.0      0.0       0.0      0  NE (mrtvá?)
 PRE_NEG_PV_EXPORT_SHORTFALL_PENALTY_CZK_KWH                  55.0      0.0       0.0      0  NE (mrtvá?)
-PV_CHARGE_SHORTFALL_PENALTY_CZK_KWH                         120.0      0.3    -473.9      9  ano
+PV_CHARGE_SHORTFALL_PENALTY_CZK_KWH                         120.0      0.3   -2182.6      9  ano
 
 Mrtvé penalty (žádný vliv na 4 fixtures): 16
   - CURTAILMENT_PENALTY