feat(combat): surface explicit action results and reject invalid actions
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"""Explicit action-execution feedback (Package U1).
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Every Action produces an ActionResult; the previous turn's results are exposed
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on CombatantState.last_action_results and in the snapshot under the additive
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per-combatant key ``last_turn_results`` — so an LLM policy can learn which
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actions were rejected (missing target, unsupported kind) or downgraded by the
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staggered/nauseated filters.
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"""
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from __future__ import annotations
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import json
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from collections.abc import Callable
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from pf1e_simulator.combat import (
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Action,
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ActionResult,
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CombatantState,
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CombatEngine,
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LLMPolicy,
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Observation,
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)
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from pf1e_simulator.conditions import CONDITIONS_BY_NAME
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from pf1e_simulator.dice import parse_dice
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from pf1e_simulator.effects import ActiveCondition
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from pf1e_simulator.models import (
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AbilityScores,
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ACProfile,
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AttackSpec,
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Combatant,
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DamageComponent,
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Saves,
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)
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from pf1e_simulator.rng import ScriptedRng
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from tests.test_observation_enriched import _snapshot, make_grid, make_state
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def _melee(name: str, attack_bonus: int = 5) -> AttackSpec:
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return AttackSpec(
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id=f"{name}-sword",
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name="short sword",
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kind="melee",
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attack_bonus=attack_bonus,
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damage=[DamageComponent(formula=parse_dice("1d6"), types=["slashing"])],
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)
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def _combatant(id_: str, *, ac: int = 10) -> Combatant:
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return Combatant(
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id=id_,
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name=id_,
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level=1,
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abilities=AbilityScores(
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str_score=10, dex_score=10, con_score=10,
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int_score=10, wis_score=10, cha_score=10,
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),
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ac=ACProfile(total=ac, touch=ac, flat_footed=ac),
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bab=1,
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initiative_mod=0,
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speed_land_ft=30,
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hp_max=100,
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saves=Saves(fort=0, ref=0, will=0),
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attacks=[_melee(id_)],
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)
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PolicyFn = Callable[[CombatEngine, CombatantState], tuple[Action, ...]]
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def _engine(
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rng: list[int],
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policy: PolicyFn | None = None,
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llm_policy: LLMPolicy | None = None,
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) -> CombatEngine:
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hero = make_state(_combatant("hero"), "players", (0, 0))
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foe = make_state(_combatant("foe"), "monsters", (0, 1))
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states = [hero, foe]
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return CombatEngine(
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ScriptedRng(rng), make_grid(), states,
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policy=policy, llm_policy=llm_policy,
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)
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def _add_condition(state: CombatantState, name: str, rounds: int = 5) -> None:
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state.active_conditions.append(
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ActiveCondition(
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condition=CONDITIONS_BY_NAME[name],
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rounds_left=rounds,
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source="test",
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)
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)
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def _fixed_policy(*actions: Action) -> PolicyFn:
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def policy(_engine_: CombatEngine, _state: CombatantState) -> tuple[Action, ...]:
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return actions
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return policy
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# ── (a) move without a target → missing_target rejection ──────────────────────
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def test_move_without_target_is_rejected() -> None:
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eng = _engine([10, 5], policy=_fixed_policy(Action(kind="move")))
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h, _f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == [
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ActionResult(kind="move", ok=False, reason="missing_target")
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]
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assert any("move rejected (missing_target)" in line for line in eng._transcript)
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# The rejection log line counts as activity: the "wait" fallback must not fire.
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assert not any(line.endswith(": wait") for line in eng._transcript)
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# ── (b) declared-but-unimplemented kinds → unsupported_kind ──────────────────
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def test_swift_is_rejected_as_unsupported() -> None:
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eng = _engine([10, 5], policy=_fixed_policy(Action(kind="swift")))
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h, _f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == [
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ActionResult(kind="swift", ok=False, reason="unsupported_kind")
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]
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assert any("swift rejected (unsupported_kind)" in line for line in eng._transcript)
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def test_free_and_full_round_are_rejected_as_unsupported() -> None:
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for action in (Action(kind="free"), Action(kind="full_round")):
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eng = _engine([10, 5], policy=_fixed_policy(action))
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h, _f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == [
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ActionResult(kind=action.kind, ok=False, reason="unsupported_kind")
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]
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expected_log = f"{action.kind} rejected (unsupported_kind)"
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assert any(expected_log in line for line in eng._transcript)
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# ── (c) staggered downgrade is recorded AND the executed attack is ok ────────
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def test_staggered_full_attack_downgrade_recorded_with_ok_attack() -> None:
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# Rolls: init hero 10, init foe 5, attack d20 10 (10+5 >= AC 10 hits), dmg 3.
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eng = _engine(
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[10, 5, 10, 3],
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policy=_fixed_policy(Action(kind="full_attack", target_id="foe")),
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)
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h, f = eng._states
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_add_condition(h, "staggered")
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eng._roll_initiative()
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eng._take_turn(h)
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results = h.last_action_results
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assert ActionResult(kind="full_attack", ok=False, reason="downgraded:staggered") in results
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assert results[-1] == ActionResult(kind="attack", ok=True, reason="ok")
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assert f.hp == 97
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def test_nauseated_full_attack_downgrade_recorded() -> None:
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# Nauseated: full_attack is not a standard action → the filter empties the
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# sequence; only the synthetic downgrade result remains.
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eng = _engine(
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[10, 5],
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policy=_fixed_policy(Action(kind="full_attack", target_id="foe")),
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)
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h, _f = eng._states
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_add_condition(h, "nauseated")
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == [
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ActionResult(kind="full_attack", ok=False, reason="downgraded:nauseated")
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]
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# ── (d) valid attack → ok=True, no new transcript noise ──────────────────────
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def test_valid_attack_reports_ok() -> None:
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# Rolls: init hero 10, init foe 5, attack d20 10 (hits AC 10), dmg 3.
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eng = _engine(
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[10, 5, 10, 3],
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policy=_fixed_policy(Action(kind="attack", target_id="foe")),
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)
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h, f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == [
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ActionResult(kind="attack", ok=True, reason="ok")
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]
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assert f.hp == 97
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assert not any("rejected" in line for line in eng._transcript)
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def test_cant_act_clears_results() -> None:
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eng = _engine([10, 5], policy=_fixed_policy(Action(kind="attack", target_id="foe")))
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h, _f = eng._states
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_add_condition(h, "paralyzed")
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h.last_action_results = [ActionResult(kind="attack", ok=True, reason="ok")]
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eng._roll_initiative()
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eng._take_turn(h)
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assert h.last_action_results == []
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# ── (e) the Observation exposes last_turn_results with the right shape ───────
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def test_snapshot_exposes_last_turn_results() -> None:
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eng = _engine(
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[10, 5, 10, 3],
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policy=_fixed_policy(Action(kind="attack", target_id="foe")),
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)
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h, _f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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obs = _snapshot(eng, h)
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hero_c, foe_c = obs["combatants"][0], obs["combatants"][1]
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assert hero_c["last_turn_results"] == (
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{"kind": "attack", "ok": True, "reason": "ok"},
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)
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assert foe_c["last_turn_results"] == ()
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json.dumps(obs) # JSON-serializable contract
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def test_results_visible_in_next_turn_observation() -> None:
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# The Observation is built INSIDE the policy call at the start of a turn:
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# the second invocation must already see the first turn's rejection.
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seen: list[Observation] = []
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def llm_policy(obs: Observation, state: CombatantState) -> tuple[Action, ...]:
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seen.append(obs)
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if len(seen) == 1:
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return (Action(kind="move"),)
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return (Action(kind="wait"),)
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eng = _engine([10, 5], llm_policy=llm_policy)
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h, _f = eng._states
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eng._roll_initiative()
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eng._take_turn(h)
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eng._take_turn(h)
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assert len(seen) == 2
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first_hero = seen[0].combatants[0]
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assert first_hero["last_turn_results"] == ()
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second_hero = seen[1].combatants[0]
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assert second_hero["last_turn_results"] == (
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{"kind": "move", "ok": False, "reason": "missing_target"},
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)
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