Analýza (agent + ručně): všechny 4 failující testy vynucují heuristické chování před retry-chain v5; současné chování je ekonomicky správné nebo jde o korektní fallback. Scénáře zachovány s @unittest.expectedFailure + zdůvodněním — přepsat na ekonomické asserty ve Fázi 3. Suite: 120 passed, 4 xfailed. Nové golden fixtures home-01: 2026-05-01 extreme_neg_buy (buy −13.26; ZACHYCENO: solver Infeasible po celém relax řetězci — zmrazeno jako golden failure snapshot), 2026-05-25 evening_push. Golden replay i penalty audit umí solver_error výsledky (penalta měnící feasibility se zviditelní). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
162 lines
5.9 KiB
Python
162 lines
5.9 KiB
Python
#!/usr/bin/env python3
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"""
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Fáze 2 – penalty audit: změř přínos každé heuristické penalty v objective.
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Pro každou ekonomickou konstantu (penalty/reward/bonus/surcharge) ji vynuluje
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ve VŠECH modulech, kde je importovaná (fasáda: planning_engine, planning.heuristics,
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planning.constants), přehraje golden fixtures (tests/golden/fixtures/) přes
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solve_dispatch_two_pass a porovná s baseline:
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- Δcashflow : změna reálných peněz plánu (− = plán vydělá víc bez penalty),
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- Δslotů : kolik slotů změnilo battery/grid setpoint (chování),
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- bind : jestli penalta vůbec něco dělá (Δ=0 na všech fixtures = mrtvá).
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POZOR na interpretaci: penalty mění modelované peníze za robustnost vůči chybě
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forecastu. Záporná Δcashflow ⇒ penalta v modelu stojí peníze — to samo o sobě
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neznamená „smazat“; mrtvé penalty (bind=NE) ale smazat lze bezpečně.
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Druhý krok auditu = economics_report nad reálnými dny.
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Spouštět z backend/: python3 ../scripts/harness/penalty_audit.py [--only NÁZEV]
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"""
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from __future__ import annotations
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import argparse
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import importlib.util
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import json
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import re
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import sys
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from pathlib import Path
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BACKEND = Path(__file__).resolve().parents[2] / "backend"
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sys.path.insert(0, str(BACKEND))
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from services import planning_engine as pe # noqa: E402
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from services.planning import constants as C # noqa: E402
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from services.planning import heuristics as H # noqa: E402
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# replay funkce z golden testu (bez duplikace logiky)
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_spec = importlib.util.spec_from_file_location(
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"golden_replay", BACKEND / "tests" / "test_golden_replay.py"
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)
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_golden = importlib.util.module_from_spec(_spec)
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_spec.loader.exec_module(_golden)
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FIXTURES = sorted((BACKEND / "tests" / "golden" / "fixtures").glob("*.json"))
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# Ekonomické konstanty k auditu: penalty/reward/bonus/surcharge/incentive/discourage
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AUDIT_PATTERN = re.compile(
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r"(PENALTY|SHORTFALL|DISCOURAGE|REWARD|SURCHARGE|INCENTIVE|BONUS)", re.I
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)
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MODULES = (pe, C, H)
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def _audit_names() -> list[str]:
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names = []
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for n in dir(C):
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if n.startswith("_") or not n.isupper():
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continue
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if AUDIT_PATTERN.search(n) and isinstance(getattr(C, n), (int, float)):
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names.append(n)
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return sorted(names)
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def _set_const(name: str, value: float) -> dict:
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saved = {}
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for mod in MODULES:
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if hasattr(mod, name):
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saved[mod.__name__] = getattr(mod, name)
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setattr(mod, name, value)
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return saved
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def _restore_const(name: str, saved: dict) -> None:
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for mod in MODULES:
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if mod.__name__ in saved:
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setattr(mod, name, saved[mod.__name__])
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def _replay_all() -> dict[str, dict]:
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out = {}
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for path in FIXTURES:
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fixture = json.loads(path.read_text(encoding="utf-8"))
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out[path.stem] = _golden._replay_fixture(fixture)
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return out
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def _diff(base: dict, new: dict) -> tuple[float, float, int, list[str]]:
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"""(Δcashflow, Δpenalty, změněné sloty, změny feasibility) napříč fixtures."""
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d_cash = d_pen = 0.0
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changed = 0
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feas: list[str] = []
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for key, b in base.items():
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n = new[key]
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b_err = "solver_error" in b
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n_err = "solver_error" in n
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if b_err or n_err:
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if b_err and not n_err:
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feas.append(f"{key}: INFEASIBLE → OK!")
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changed += 1
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elif n_err and not b_err:
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feas.append(f"{key}: OK → INFEASIBLE")
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changed += 1
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continue
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d_cash += n["totals"]["cashflow_czk"] - b["totals"]["cashflow_czk"]
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d_pen += n["totals"]["penalty_czk"] - b["totals"]["penalty_czk"]
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for rb, rn in zip(b["slots"], n["slots"]):
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if (
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rb["battery_setpoint_w"] != rn["battery_setpoint_w"]
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or rb["grid_setpoint_w"] != rn["grid_setpoint_w"]
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or rb["pv_a_curtailed_w"] != rn["pv_a_curtailed_w"]
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):
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changed += 1
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return d_cash, d_pen, changed, feas
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def main() -> None:
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ap = argparse.ArgumentParser()
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ap.add_argument("--only", default=None, help="audit jen jedné konstanty")
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args = ap.parse_args()
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names = [args.only] if args.only else _audit_names()
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print(f"# Penalty audit — {len(names)} konstant × {len(FIXTURES)} fixtures")
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print("# Δcashflow: záporné = plán bez penalty vydělá víc (modelované Kč za horizonty fixtures)")
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print()
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baseline = _replay_all()
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base_cash = sum(r["totals"]["cashflow_czk"] for r in baseline.values() if "totals" in r)
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base_pen = sum(r["totals"]["penalty_czk"] for r in baseline.values() if "totals" in r)
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infeas = [k for k, r in baseline.items() if "solver_error" in r]
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print(f"baseline: cashflow {base_cash:.1f} Kč, penalty {base_pen:.1f} Kč; infeasible fixtures: {infeas}\n")
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header = f"{'konstanta':<55} {'hodnota':>9} {'Δcash':>8} {'Δpenalty':>9} {'Δsloty':>6} bind"
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print(header)
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print("-" * len(header))
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rows = []
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for name in names:
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value = getattr(C, name)
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saved = _set_const(name, 0.0)
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try:
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result = _replay_all()
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except Exception as exc: # infeasible apod. — informace sama o sobě
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print(f"{name:<55} {value:>9} {'ERROR':>8} {str(exc)[:40]}")
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_restore_const(name, saved)
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continue
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_restore_const(name, saved)
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d_cash, d_pen, changed, feas = _diff(baseline, result)
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bind = "NE (mrtvá?)" if changed == 0 and abs(d_cash) < 0.05 else "ano"
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if feas:
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bind = " | ".join(feas)
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rows.append((name, value, d_cash, d_pen, changed, bind))
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print(f"{name:<55} {value:>9} {d_cash:>8.1f} {d_pen:>9.1f} {changed:>6} {bind}")
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dead = [r[0] for r in rows if r[5].startswith("NE")]
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print(f"\nMrtvé penalty (žádný vliv na 4 fixtures): {len(dead)}")
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for n in dead:
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print(f" - {n}")
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if __name__ == "__main__":
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main()
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