feat(phase2): P1c

This commit is contained in:
2026-09-22 12:21:23 +02:00
parent de4645838b
commit 15d24be638
6 changed files with 1044 additions and 2 deletions
+2 -2
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@@ -1526,7 +1526,7 @@ _REASON_CANNOT_COMBINE = "cannot_combine"
# Action kinds that are declared but have no engine dispatch (U1 surfaces
# them as explicit rejections instead of silent no-ops).
_UNSUPPORTED_ACTION_KINDS: frozenset[str] = frozenset({"swift", "free", "full_round"})
UNSUPPORTED_ACTION_KINDS: frozenset[str] = frozenset({"swift", "free", "full_round"})
# Action kinds whose helper is a silent no-op (or worse) without a resolved
# target; _execute rejects them up front with missing_target instead.
# move / 5foot_step / run are exempt when an explicit destination is provided
@@ -5097,7 +5097,7 @@ class CombatEngine:
reports ok.
"""
kind = action.kind
if kind in _UNSUPPORTED_ACTION_KINDS:
if kind in UNSUPPORTED_ACTION_KINDS:
self._log(
f"round {self._current_round} {state.combatant.id}: "
f"{kind} rejected ({_REASON_UNSUPPORTED_KIND})"
+271
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@@ -0,0 +1,271 @@
"""Natural-language policy: parses LLM JSON replies into Action sequences (P1.3)."""
from __future__ import annotations
import json
from collections.abc import Callable
from dataclasses import dataclass, fields
from typing import TYPE_CHECKING, Literal, TypeGuard, get_args
from pf1e_simulator.candidates import candidates
from pf1e_simulator.combat import Action, ReadyTrigger, TrickCondition
if TYPE_CHECKING:
from pf1e_simulator.client import LLMClient
from pf1e_simulator.combat import Observation
from pf1e_simulator.prompt_builder import PromptBuilder
# ---- Type aliases for the 27 supported kinds (filtered from Action.kind) ----
KindValue = Literal[
"attack", "move", "wait", "immediate", "full_attack", "charge", "withdraw",
"5foot_step", "cast_spell", "maneuver", "channel_energy", "hex", "deed",
"spell_combat", "inspire_courage", "retrieve_weapon", "repair_weapon",
"activate_power_attack", "delay", "ready", "total_defense",
"fight_defensively", "stand_up", "drop_prone", "aid_another", "run", "hide",
]
_KIND_VALUES: frozenset[str] = frozenset(get_args(KindValue))
_FIELD_NAMES: frozenset[str] = frozenset(f.name for f in fields(Action))
_PAIR_LEN = 2
_CHANNEL_MODES: frozenset[str] = frozenset(get_args(Literal["heal", "harm"]))
_AID_MODES: frozenset[str] = frozenset(get_args(Literal["attack", "ac"]))
_TRICK_CONDITIONS: frozenset[str] = frozenset(get_args(TrickCondition))
_READY_TRIGGERS: frozenset[str] = frozenset(get_args(ReadyTrigger))
class NLPolicyError(ValueError):
"""The LLM reply is not a valid JSON action sequence."""
# ---- Type guards -------------------------------------------------------------
def _is_kind(value: object) -> TypeGuard[KindValue]:
return value in _KIND_VALUES
def _is_channel_mode(value: object) -> TypeGuard[Literal["heal", "harm"]]:
return value in _CHANNEL_MODES
def _is_aid_mode(value: object) -> TypeGuard[Literal["attack", "ac"]]:
return value in _AID_MODES
def _is_trick_condition(value: object) -> TypeGuard[TrickCondition]:
return value in _TRICK_CONDITIONS
def _is_ready_trigger(value: object) -> TypeGuard[ReadyTrigger]:
return value in _READY_TRIGGERS
def _is_object_list(value: object) -> TypeGuard[list[object]]:
return isinstance(value, list)
def _is_object_seq(value: object) -> TypeGuard[list[object] | tuple[object, ...]]:
return isinstance(value, (list, tuple))
def _is_object_dict(value: object) -> TypeGuard[dict[str, object]]:
return isinstance(value, dict)
# ---- Coercion helpers --------------------------------------------------------
def _opt_str(value: object, name: str) -> str | None:
if value is None:
return None
if isinstance(value, str):
return value
msg = f"{name!r} must be a string"
raise NLPolicyError(msg)
def _str_tuple(value: object, name: str) -> tuple[str, ...]:
if value is None:
return ()
if not _is_object_seq(value):
msg = f"{name!r} must be a list of strings"
raise NLPolicyError(msg)
out: list[str] = []
for item in value:
if not isinstance(item, str):
msg = f"{name!r} must be a list of strings"
raise NLPolicyError(msg)
out.append(item)
return tuple(out)
def _int_pair(value: object, name: str) -> tuple[int, int] | None:
if value is None:
return None
if not _is_object_seq(value):
msg = f"{name!r} must be a [row, col] pair"
raise NLPolicyError(msg)
if len(value) != _PAIR_LEN:
msg = f"{name!r} must be a [row, col] pair"
raise NLPolicyError(msg)
first, second = value[0], value[1]
if (
isinstance(first, bool)
or isinstance(second, bool)
or not isinstance(first, int)
or not isinstance(second, int)
):
msg = f"{name!r} must be a [row, col] pair"
raise NLPolicyError(msg)
return (first, second)
def _opt_bool(value: object, name: str) -> bool:
if value is None:
return False
if isinstance(value, bool):
return value
msg = f"{name!r} must be a boolean"
raise NLPolicyError(msg)
def _opt_channel_mode(value: object) -> Literal["heal", "harm"] | None:
if value is None:
return None
if _is_channel_mode(value):
return value
msg = "'channel_mode' must be one of: heal, harm"
raise NLPolicyError(msg)
def _opt_aid_mode(value: object) -> Literal["attack", "ac"] | None:
if value is None:
return None
if _is_aid_mode(value):
return value
msg = "'aid_mode' must be one of: attack, ac"
raise NLPolicyError(msg)
def _opt_trick_condition(value: object) -> TrickCondition | None:
if value is None:
return None
if _is_trick_condition(value):
return value
msg = "'trick_condition' must be one of: " + ", ".join(get_args(TrickCondition))
raise NLPolicyError(msg)
def _opt_ready_trigger(value: object) -> ReadyTrigger | None:
if value is None:
return None
if _is_ready_trigger(value):
return value
msg = "'ready_trigger' must be one of: " + ", ".join(get_args(ReadyTrigger))
raise NLPolicyError(msg)
# ---- Action construction -----------------------------------------------------
def _action_from_item(item: object) -> Action:
if not _is_object_dict(item):
msg = "each action must be a JSON object"
raise NLPolicyError(msg)
fields_dict = item
unknown = sorted(set(fields_dict) - _FIELD_NAMES)
if unknown:
msg = f"unknown action field(s): {', '.join(unknown)}"
raise NLPolicyError(msg)
kind = fields_dict.get("kind")
if not _is_kind(kind):
msg = "missing or unknown 'kind'"
raise NLPolicyError(msg)
return Action(
kind=kind,
target_id=_opt_str(fields_dict.get("target_id"), "target_id"),
spell_name=_opt_str(fields_dict.get("spell_name"), "spell_name"),
maneuver=_opt_str(fields_dict.get("maneuver"), "maneuver"),
hex_name=_opt_str(fields_dict.get("hex_name"), "hex_name"),
deed_name=_opt_str(fields_dict.get("deed_name"), "deed_name"),
class_ability=_opt_str(fields_dict.get("class_ability"), "class_ability"),
channel_mode=_opt_channel_mode(fields_dict.get("channel_mode")),
channel_exclude=_str_tuple(fields_dict.get("channel_exclude"), "channel_exclude"),
direction=_int_pair(fields_dict.get("direction"), "direction"),
trick_condition=_opt_trick_condition(fields_dict.get("trick_condition")),
weapon_id=_opt_str(fields_dict.get("weapon_id"), "weapon_id"),
ready_trigger=_opt_ready_trigger(fields_dict.get("ready_trigger")),
destination=_int_pair(fields_dict.get("destination"), "destination"),
target_pos=_int_pair(fields_dict.get("target_pos"), "target_pos"),
aid_mode=_opt_aid_mode(fields_dict.get("aid_mode")),
metamagic=_str_tuple(fields_dict.get("metamagic"), "metamagic"),
cast_defensively=_opt_bool(fields_dict.get("cast_defensively"), "cast_defensively"),
tumble=_opt_bool(fields_dict.get("tumble"), "tumble"),
)
# ---- Public parse API --------------------------------------------------------
def parse_actions(reply: str) -> tuple[Action, ...]:
"""Parse an LLM reply into a tuple of Action objects."""
try:
parsed = json.loads(reply)
except json.JSONDecodeError as exc:
msg = f"reply is not valid JSON: {exc}"
raise NLPolicyError(msg) from exc
if not _is_object_list(parsed):
msg = "reply must be a JSON array of action objects"
raise NLPolicyError(msg)
items = parsed
return tuple(_action_from_item(item) for item in items)
# ---- Fallback policy ---------------------------------------------------------
Fallback = Callable[[tuple[Action, ...]], tuple[Action, ...]]
def fallback_default(menu: tuple[Action, ...]) -> tuple[Action, ...]:
"""Deterministic fallback: first decisive action, then a defensive hold."""
for kind in ("full_attack", "attack", "charge", "move", "5foot_step"):
for action in menu:
if action.kind == kind:
return (action,)
if menu:
return (menu[0],)
return (Action(kind="wait"),)
# ---- NLPolicy ----------------------------------------------------------------
@dataclass(frozen=True)
class NLPolicy:
"""Turn LLM completions into Action sequences, with a scripted fallback."""
client: LLMClient
builder: PromptBuilder
prompt_name: str = "nl_default"
fallback: Fallback = fallback_default
def __post_init__(self) -> None:
expected = self.builder.prompt_version(self.prompt_name)
if self.client.prompt_version != expected:
msg = (
f"client prompt_version {self.client.prompt_version!r} does not "
f"match pack {expected!r} for {self.prompt_name!r}"
)
raise ValueError(msg)
def __call__(self, observation: Observation) -> tuple[Action, ...]:
menu = candidates(observation)
prompt = self.builder.build(observation, prompt_name=self.prompt_name)
reply = self.client.complete(prompt)
try:
return parse_actions(reply)
except NLPolicyError as exc:
retry_prompt = (
f"{prompt}\n\n-- previous reply invalid --\n{exc}\n"
"Return a valid JSON action sequence."
)
retry_reply = self.client.complete(retry_prompt)
try:
return parse_actions(retry_reply)
except NLPolicyError:
return self.fallback(menu)
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@@ -0,0 +1,181 @@
"""Prompt builder for the phase-2 LLM layer (P1.4).
Builds a deterministic prompt from an ``Observation`` plus the external
prompt pack: template + compact observation + plausible actions + JSON
action schema. The schema is derived from the ``Action`` dataclass via
``typing.get_type_hints`` so it stays in sync with the engine.
"""
from __future__ import annotations
import json
from dataclasses import MISSING, asdict, dataclass, fields
from types import UnionType
from typing import TYPE_CHECKING, Literal, Union, get_args, get_origin, get_type_hints
from pf1e_simulator.candidates import candidates
from pf1e_simulator.combat import UNSUPPORTED_ACTION_KINDS, Action, Observation
from pf1e_simulator.llm_view import compact_observation
if TYPE_CHECKING:
from pf1e_simulator.prompt import PromptPack
def _supported_kinds() -> tuple[str, ...]:
"""Return the 27 action kinds supported by the LLM layer (declaration order)."""
kind_literal = get_type_hints(Action)["kind"]
all_kinds = get_args(kind_literal)
return tuple(k for k in all_kinds if k not in UNSUPPORTED_ACTION_KINDS)
_EMPTY_LITERAL_MSG = "empty Literal"
_UNSUPPORTED_LITERAL_MSG = "unsupported Literal values: {}"
_MULTI_UNION_MSG = "multi-type union not supported in Action: {}"
_UNSUPPORTED_TYPE_MSG = "unsupported type in Action schema: {}"
_TUPLE_ELLIPSIS_LEN = 2
def _json_schema_base(tp: object) -> dict[str, object] | None:
"""Return the JSON Schema fragment for a base type, else None."""
if tp is type(None):
return {"type": "null"}
if tp is str:
return {"type": "string"}
if tp is int:
return {"type": "integer"}
if tp is bool:
return {"type": "boolean"}
return None
def _json_schema_literal(args: tuple[object, ...]) -> dict[str, object]:
"""Return the JSON Schema fragment for a Literal type."""
if not args:
raise ValueError(_EMPTY_LITERAL_MSG)
first = args[0]
if isinstance(first, str):
base_type = "string"
elif isinstance(first, int):
base_type = "integer"
else:
msg = _UNSUPPORTED_LITERAL_MSG.format(args)
raise TypeError(msg)
return {"type": base_type, "enum": list(args)}
def _json_schema_tuple(args: tuple[object, ...]) -> dict[str, object]:
"""Return the JSON Schema fragment for a tuple type."""
if not args:
return {"type": "array"}
if len(args) == _TUPLE_ELLIPSIS_LEN and args[1] is Ellipsis:
# tuple[T, ...] → homogeneous array
item_schema = _json_schema_for(args[0])
return {"type": "array", "items": item_schema}
# Fixed-length tuple → prefixItems + minItems/maxItems
prefix = [_json_schema_for(arg) for arg in args]
return {
"type": "array",
"prefixItems": prefix,
"minItems": len(args),
"maxItems": len(args),
}
def _json_schema_union(args: tuple[object, ...]) -> dict[str, object]:
"""Return the JSON Schema fragment for a nullable single-member union."""
non_none = [a for a in args if a is not type(None)]
if len(non_none) == 1:
member_schema = _json_schema_for(non_none[0])
# Merge "null" into the type array
member_type = member_schema.get("type")
if isinstance(member_type, str):
member_schema["type"] = [member_type, "null"]
# If member already has an enum (e.g. nullable Literal), keep it.
return member_schema
msg = _MULTI_UNION_MSG.format(args)
raise ValueError(msg)
def _json_schema_for(tp: object) -> dict[str, object]:
"""Convert a Python type annotation to a JSON Schema fragment."""
base_schema = _json_schema_base(tp)
if base_schema is not None:
return base_schema
origin = get_origin(tp)
args = get_args(tp)
if origin is Literal:
return _json_schema_literal(args)
if origin is tuple:
return _json_schema_tuple(args)
if origin is Union or origin is UnionType:
return _json_schema_union(args)
msg = _UNSUPPORTED_TYPE_MSG.format(tp)
raise ValueError(msg)
def action_schema() -> dict[str, object]:
"""JSON Schema for a single Action object."""
hints = get_type_hints(Action)
properties = {name: _json_schema_for(tp) for name, tp in hints.items()}
# Override kind with the filtered 27-kind enum (source Literal order)
properties["kind"] = {"type": "string", "enum": list(_supported_kinds())}
# Only 'kind' lacks a default
required = [
f.name
for f in fields(Action)
if f.default is MISSING and f.default_factory is MISSING
]
return {
"type": "object",
"properties": properties,
"required": required,
"additionalProperties": False,
}
def render_candidates(actions: tuple[Action, ...]) -> tuple[str, ...]:
"""Render the plausible-action menu as numbered lines with compact JSON."""
lines: list[str] = []
for index, action in enumerate(actions):
payload = {
key: value
for key, value in asdict(action).items()
if key != "kind" and value is not None and value != () and value is not False
}
suffix = f" {json.dumps(payload, sort_keys=True, separators=(',', ':'))}" if payload else ""
lines.append(f"{index}. {action.kind}{suffix}")
return tuple(lines)
@dataclass(frozen=True)
class PromptBuilder:
"""Builds the complete LLM prompt from a prompt pack and an observation."""
pack: PromptPack
def prompt_version(self, name: str) -> str:
"""Pack version plus per-prompt content hash (cache-key component, D6)."""
return self.pack.prompt_version(name)
def build(self, observation: object, *, prompt_name: str = "nl_default") -> str:
"""Assemble the full prompt for the given observation."""
if not isinstance(observation, Observation):
msg = "observation must be an Observation instance"
raise TypeError(msg)
template = self.pack.get(prompt_name)
obs_text = compact_observation(observation).rstrip("\n")
menu = candidates(observation)
actions_text = "\n".join(render_candidates(menu))
schema_text = json.dumps(action_schema(), sort_keys=True, indent=2)
return "\n\n".join([
template,
"## observation\n" + obs_text,
"## plausible actions\n" + actions_text,
"## action schema\n" + schema_text,
])
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"""Tests for the natural-language policy (P1.3)."""
from __future__ import annotations
from pathlib import Path
import pytest
from pf1e_simulator.client import FakeLLMClient, ResponseCache, ScriptExhaustedError
from pf1e_simulator.combat import Action, Observation
from pf1e_simulator.nl_policy import (
NLPolicy,
NLPolicyError,
fallback_default,
parse_actions,
)
from pf1e_simulator.prompt import PromptPack
from pf1e_simulator.prompt_builder import PromptBuilder
_FIXTURE_PACK = Path(__file__).resolve().parent / "fixtures" / "prompt_pack"
def _obs() -> Observation:
"""Minimal valid observation for deterministic tests."""
return Observation(
round=1,
acting_combatant=0,
combatants=(
{"id": "goblin", "side": "players", "active": True, "pos": (1, 1)},
),
pairs=(),
terrain=((None,),),
elevation=((0,),),
)
def _pack() -> PromptPack:
return PromptPack.load(_FIXTURE_PACK)
def _builder() -> PromptBuilder:
return PromptBuilder(pack=_pack())
def _make_client(script: list[str], *, builder: PromptBuilder, **kwargs) -> FakeLLMClient:
"""Create a FakeLLMClient with the correct prompt_version from the builder."""
return FakeLLMClient(
script=script,
prompt_version=builder.prompt_version("nl_default"),
**kwargs,
)
def _make_policy(client: FakeLLMClient, builder: PromptBuilder) -> NLPolicy:
return NLPolicy(client=client, builder=builder)
@pytest.fixture
def builder() -> PromptBuilder:
"""A builder over the fixture pack, shared by the NLPolicy integration tests."""
return _builder()
# ---- parse_actions tests -----------------------------------------------------
def test_parse_actions_ok() -> None:
reply = '[{"kind": "move", "destination": [2, 3]}]'
actions = parse_actions(reply)
assert actions == (Action(kind="move", destination=(2, 3)),)
def test_parse_actions_empty_array() -> None:
assert parse_actions("[]") == ()
def test_parse_actions_invalid_json() -> None:
with pytest.raises(NLPolicyError, match=r"reply is not valid JSON"):
parse_actions("not json")
def test_parse_actions_not_a_list() -> None:
with pytest.raises(NLPolicyError, match=r"reply must be a JSON array of action objects"):
parse_actions('{"kind": "attack"}')
def test_parse_actions_unknown_field() -> None:
with pytest.raises(NLPolicyError, match=r"unknown action field\(s\): bogus"):
parse_actions('[{"kind": "attack", "bogus": 1}]')
def test_parse_actions_missing_kind() -> None:
with pytest.raises(NLPolicyError, match=r"missing or unknown 'kind'"):
parse_actions('[{"target_id": "orc"}]')
def test_parse_actions_unknown_kind() -> None:
with pytest.raises(NLPolicyError, match=r"missing or unknown 'kind'"):
parse_actions('[{"kind": "dance"}]')
def test_parse_actions_channel_mode_invalid() -> None:
with pytest.raises(NLPolicyError, match=r"'channel_mode' must be one of: heal, harm"):
parse_actions('[{"kind": "channel_energy", "channel_mode": "loud"}]')
def test_parse_actions_destination_invalid_not_pair() -> None:
with pytest.raises(NLPolicyError, match=r"'destination' must be a \[row, col\] pair"):
parse_actions('[{"kind": "move", "destination": [2]}]')
def test_parse_actions_destination_invalid_strings() -> None:
with pytest.raises(NLPolicyError, match=r"'destination' must be a \[row, col\] pair"):
parse_actions('[{"kind": "move", "destination": ["2", "3"]}]')
def test_parse_actions_aid_mode_invalid() -> None:
with pytest.raises(NLPolicyError, match=r"'aid_mode' must be one of: attack, ac"):
parse_actions('[{"kind": "aid_another", "aid_mode": "damage"}]')
def test_parse_actions_trick_condition_invalid() -> None:
with pytest.raises(
NLPolicyError,
match=(
r"'trick_condition' must be one of: dazzled, blinded, "
r"deafened, entangled, shaken, sickened"
),
):
parse_actions('[{"kind": "cast_spell", "trick_condition": "nauseated"}]')
def test_parse_actions_ready_trigger_invalid() -> None:
with pytest.raises(
NLPolicyError,
match=(
r"'ready_trigger' must be one of: enemy_enters_reach, "
r"enemy_casts, enemy_attacks, enemy_hits_ally"
),
):
parse_actions('[{"kind": "ready", "ready_trigger": "enemy_sneezed"}]')
def test_parse_actions_channel_exclude_not_list() -> None:
with pytest.raises(NLPolicyError, match=r"'channel_exclude' must be a list of strings"):
parse_actions('[{"kind": "channel_energy", "channel_exclude": "orc"}]')
def test_parse_actions_channel_exclude_ok() -> None:
actions = parse_actions('[{"kind": "channel_energy", "channel_exclude": ["orc"]}]')
assert actions[0].channel_exclude == ("orc",)
def test_parse_actions_tumble_not_bool() -> None:
with pytest.raises(NLPolicyError, match=r"'tumble' must be a boolean"):
parse_actions('[{"kind": "attack", "tumble": "yes"}]')
def test_parse_actions_cast_defensively_not_bool() -> None:
with pytest.raises(NLPolicyError, match=r"'cast_defensively' must be a boolean"):
parse_actions('[{"kind": "cast_spell", "cast_defensively": 1}]')
def test_parse_actions_metamagic_ok() -> None:
actions = parse_actions('[{"kind": "cast_spell", "metamagic": ["Empower", "Maximize"]}]')
assert actions[0].metamagic == ("Empower", "Maximize")
# ---- fallback_default tests --------------------------------------------------
def test_fallback_default_prefers_full_attack() -> None:
menu = (
Action(kind="total_defense"),
Action(kind="full_attack", target_id="orc"),
Action(kind="move"),
)
assert fallback_default(menu) == (Action(kind="full_attack", target_id="orc"),)
def test_fallback_default_prefers_attack_over_charge() -> None:
menu = (
Action(kind="charge", target_id="orc"),
Action(kind="attack", target_id="orc"),
)
assert fallback_default(menu) == (Action(kind="attack", target_id="orc"),)
def test_fallback_default_prefers_charge_over_move() -> None:
menu = (
Action(kind="move", target_id="orc"),
Action(kind="charge", target_id="orc"),
)
assert fallback_default(menu) == (Action(kind="charge", target_id="orc"),)
def test_fallback_default_falls_back_to_first() -> None:
menu = (Action(kind="total_defense"), Action(kind="delay"))
assert fallback_default(menu) == (Action(kind="total_defense"),)
def test_fallback_default_empty_menu_returns_wait() -> None:
assert fallback_default(()) == (Action(kind="wait"),)
# ---- NLPolicy integration tests ---------------------------------------------
def test_nl_policy_parse_ok(builder: PromptBuilder) -> None:
"""Parse OK path with valid JSON from FakeLLMClient."""
script = ['[{"kind": "move", "destination": [2, 3]}]']
client = _make_client(script, builder=builder)
policy = _make_policy(client, builder)
actions = policy(_obs())
assert actions == (Action(kind="move", destination=(2, 3)),)
assert client.stats.calls == 1
def test_nl_policy_retry_then_succeeds() -> None:
"""One bad reply, then a good one → parsed successfully."""
builder = _builder()
script = ["not json", '[{"kind": "move", "destination": [2, 3]}]']
client = _make_client(script, builder=builder)
policy = _make_policy(client, builder)
actions = policy(_obs())
assert actions == (Action(kind="move", destination=(2, 3)),)
assert client.stats.calls == 2
def test_nl_policy_retry_then_fallback() -> None:
"""Two bad replies → fallback used."""
builder = _builder()
script = ["not json", "not json"]
client = _make_client(script, builder=builder)
policy = _make_policy(client, builder)
# Minimal obs menu is (total_defense, delay)
actions = policy(_obs())
# fallback_default picks first decisive action, but menu has only defensive
assert actions == (Action(kind="total_defense"),)
assert client.stats.calls == 2
def test_nl_policy_prompt_version_mismatch() -> None:
"""Client default prompt_version vs builder pack version → ValueError."""
builder = _builder()
# Use default prompt_version ("fixture:fake:0") which differs from pack
client = FakeLLMClient(script=['[{"kind": "wait"}]'])
with pytest.raises(ValueError, match=r"prompt_version"):
_make_policy(client, builder)
def test_nl_policy_script_exhausted_propagates() -> None:
"""ScriptExhaustedError from FakeLLMClient propagates (not caught)."""
builder = _builder()
client = _make_client([], builder=builder)
policy = _make_policy(client, builder)
with pytest.raises(ScriptExhaustedError):
policy(_obs())
def test_nl_policy_shared_cache_hit() -> None:
"""Two clients sharing a ResponseCache: second call hits cache."""
builder = _builder()
cache = ResponseCache()
# First client has one scripted response
client1 = _make_client(['[{"kind": "wait"}]'], builder=builder, cache=cache)
# Second client has NO script; relies on cache hit
client2 = _make_client([], builder=builder, cache=cache)
policy1 = _make_policy(client1, builder)
policy2 = _make_policy(client2, builder)
obs = _obs()
actions1 = policy1(obs)
actions2 = policy2(obs)
assert actions2 == actions1 == (Action(kind="wait"),)
# Second call was a cache hit (no ScriptExhaustedError)
assert client2.stats.cache_hits == 1
assert client1.stats.cache_misses == 1
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"""Offline battles driven by FakeLLMClient through the NL policy (P1.3/P1.4)."""
from __future__ import annotations
from pathlib import Path
from pf1e_simulator.client import FakeLLMClient
from pf1e_simulator.loaders import load_combatant
from pf1e_simulator.map import load_map
from pf1e_simulator.nl_policy import NLPolicy
from pf1e_simulator.prompt import PromptPack
from pf1e_simulator.prompt_builder import PromptBuilder
from pf1e_simulator.runner import EncounterSpec, Side, run_encounter
ROOT = Path(__file__).resolve().parents[1]
MAP = ROOT / "data" / "maps" / "sample_arena.yaml"
def _c(path: str):
return load_combatant(ROOT / "data" / path)
def _duel_spec() -> EncounterSpec:
"""A fast 1v1 (goblin archer vs orc) on the sample arena."""
return EncounterSpec(
map=load_map(MAP),
round_cap=20,
sides=(
Side(name="players", combatants=(_c("monsters/goblin.json"),), zone="A"),
Side(name="monsters", combatants=(_c("monsters/orc.json"),), zone="B"),
),
)
def _pack() -> PromptPack:
return PromptPack.load(ROOT / "tests" / "fixtures" / "prompt_pack")
def _builder() -> PromptBuilder:
return PromptBuilder(pack=_pack())
def _make_client(script: list[str], *, builder: PromptBuilder) -> FakeLLMClient:
return FakeLLMClient(
script=script,
prompt_version=builder.prompt_version("nl_default"),
)
def test_offline_battle_total_defense_draw() -> None:
"""Both sides play total_defense → draw at round_cap (20 rounds, 40 calls)."""
spec = _duel_spec()
builder = _builder()
# 60 responses is plenty for 40 turns (20 rounds x 2 combatants)
script = ['[{"kind": "total_defense"}]'] * 60
client = _make_client(script, builder=builder)
policy = NLPolicy(client=client, builder=builder)
report, _outcomes = run_encounter(spec, runs=1, seed=1, llm_policy=policy, collect_runs=True)
# Draw at round_cap
assert report.draws == 1
assert report.wins.get("players", 0) == 0
assert report.wins.get("monsters", 0) == 0
assert report.avg_rounds == 20
# 20 rounds x 2 combatants = 40 policy invocations
assert client.stats.calls == 40
def test_offline_battle_fallback() -> None:
"""Fallback-driven battle: script of invalid JSON forces fallback on every turn."""
spec = _duel_spec()
builder = _builder()
# Each turn: 2 completes (first parse fail, retry parse fail → fallback).
# Max 20 rounds x 2 combatants x 2 = 80 completes. Use 100 for margin.
script = ["not json"] * 100
client = _make_client(script, builder=builder)
policy = NLPolicy(client=client, builder=builder)
report, _outcomes = run_encounter(spec, runs=1, seed=1, llm_policy=policy, collect_runs=True)
# The battle should complete (not exhaust script)
assert report.runs == 1
assert report.draws + sum(report.wins.values()) == 1
# At least some calls happened; script not exhausted
assert client.stats.calls > 0
assert client.stats.calls <= 100
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"""Tests for the phase-2 prompt builder (P1.4)."""
from __future__ import annotations
import hashlib
import json
from dataclasses import fields
from pathlib import Path
from pf1e_simulator.combat import Action, Observation
from pf1e_simulator.nl_policy import KindValue
from pf1e_simulator.nl_policy import get_args as _get_args
from pf1e_simulator.prompt import PromptPack
from pf1e_simulator.prompt_builder import (
PromptBuilder,
_supported_kinds,
action_schema,
render_candidates,
)
_FIXTURE_PACK = Path(__file__).resolve().parent / "fixtures" / "prompt_pack"
_FIXTURE_VERSION = "0.1.0-test"
_FIXTURE_PROMPT_NAME = "nl_default"
def _obs() -> Observation:
"""Minimal valid observation for deterministic tests."""
return Observation(
round=1,
acting_combatant=0,
combatants=(
{"id": "goblin", "side": "players", "active": True, "pos": (1, 1)},
),
pairs=(),
terrain=((None,),),
elevation=((0,),),
)
def _pack() -> PromptPack:
return PromptPack.load(_FIXTURE_PACK)
def _builder() -> PromptBuilder:
return PromptBuilder(pack=_pack())
def test_supported_kinds_filters_unsupported() -> None:
kinds = _supported_kinds()
assert "swift" not in kinds
assert "free" not in kinds
assert "full_round" not in kinds
# 27 kinds remain
assert len(kinds) == 27
# Order preserved from source Literal
assert kinds == (
"attack", "move", "wait", "immediate", "full_attack", "charge",
"withdraw", "5foot_step", "cast_spell", "maneuver", "channel_energy",
"hex", "deed", "spell_combat", "inspire_courage", "retrieve_weapon",
"repair_weapon", "activate_power_attack", "delay", "ready",
"total_defense", "fight_defensively", "stand_up", "drop_prone",
"aid_another", "run", "hide",
)
def test_action_schema_structure() -> None:
schema = action_schema()
assert schema["type"] == "object"
assert schema["required"] == ["kind"]
assert schema["additionalProperties"] is False
props = schema["properties"]
# Properties match Action fields exactly
action_field_names = {f.name for f in fields(Action)}
assert set(props.keys()) == action_field_names
# Kind enum is the filtered 27
kind_prop = props["kind"]
assert kind_prop["type"] == "string"
assert kind_prop["enum"] == list(_supported_kinds())
def test_action_schema_spot_check_fragments() -> None:
schema = action_schema()
props = schema["properties"]
# target_id accepts either a string or null
assert props["target_id"] == {"type": ["string", "null"]}
# destination is a nullable two-int pair (prefixItems + min/maxItems)
dest = props["destination"]
assert dest["type"] == ["array", "null"]
assert dest["prefixItems"] == [{"type": "integer"}, {"type": "integer"}]
assert dest["minItems"] == 2
assert dest["maxItems"] == 2
# channel_exclude: string[] (array of strings)
ch_ex = props["channel_exclude"]
assert ch_ex["type"] == "array"
assert ch_ex["items"] == {"type": "string"}
# cast_defensively is a boolean field
assert props["cast_defensively"] == {"type": "boolean"}
# tumble is a boolean field
assert props["tumble"] == {"type": "boolean"}
# channel_mode: nullable enum
ch_mode = props["channel_mode"]
assert ch_mode["type"] == ["string", "null"]
assert ch_mode["enum"] == ["heal", "harm"]
# aid_mode: nullable enum
aid = props["aid_mode"]
assert aid["type"] == ["string", "null"]
assert aid["enum"] == ["attack", "ac"]
# trick_condition: nullable enum (6 values)
tc = props["trick_condition"]
assert tc["type"] == ["string", "null"]
assert tc["enum"] == ["dazzled", "blinded", "deafened", "entangled", "shaken", "sickened"]
# ready_trigger: nullable enum (4 values)
rt = props["ready_trigger"]
assert rt["type"] == ["string", "null"]
assert rt["enum"] == ["enemy_enters_reach", "enemy_casts", "enemy_attacks", "enemy_hits_ally"]
# metamagic: string[]
meta = props["metamagic"]
assert meta["type"] == "array"
assert meta["items"] == {"type": "string"}
# class_ability is a nullable string field
assert props["class_ability"] == {"type": ["string", "null"]}
def test_render_candidates() -> None:
# Single action with payload
rendered = render_candidates((Action(kind="move", destination=(2, 3)),))
assert rendered == ('0. move {"destination":[2,3]}',)
# Action with no payload (all defaults/None)
rendered = render_candidates((Action(kind="total_defense"),))
assert rendered == ("0. total_defense",)
# Action with target_id
rendered = render_candidates((Action(kind="attack", target_id="orc"),))
assert rendered == ('0. attack {"target_id":"orc"}',)
# Empty menu
assert render_candidates(()) == ()
# Multiple actions
rendered = render_candidates((
Action(kind="attack", target_id="a"),
Action(kind="move", destination=(1, 1)),
))
assert rendered == (
'0. attack {"target_id":"a"}',
'1. move {"destination":[1,1]}',
)
def test_prompt_builder_build_deterministic() -> None:
builder = _builder()
obs = _obs()
prompt1 = builder.build(obs)
prompt2 = builder.build(obs)
assert prompt1 == prompt2
def test_prompt_builder_sections_present() -> None:
builder = _builder()
obs = _obs()
prompt = builder.build(obs)
# Template content
assert "tactical director" in prompt
assert "battle state" in prompt
# Sections
assert "## observation\n" in prompt
assert "## plausible actions\n" in prompt
assert "## action schema\n" in prompt
# Schema is valid JSON and contains kind enum
schema_part = prompt.split("## action schema\n")[1]
parsed = json.loads(schema_part)
assert parsed["properties"]["kind"]["enum"] == list(_supported_kinds())
def test_prompt_version_format() -> None:
builder = _builder()
pv = builder.prompt_version(_FIXTURE_PROMPT_NAME)
assert pv.startswith(f"{_FIXTURE_VERSION}:{_FIXTURE_PROMPT_NAME}:")
digest = pv.split(":")[-1]
assert len(digest) == 12
assert all(c in "0123456789abcdef" for c in digest)
# Cross-check against actual pack content
pack = _pack()
content = pack.get(_FIXTURE_PROMPT_NAME)
expected_digest = hashlib.sha256(content.encode("utf-8")).hexdigest()[:12]
assert digest == expected_digest
def test_prompt_builder_custom_prompt_name() -> None:
builder = _builder()
obs = _obs()
# nl_default is the only fixture, but the API accepts any name
prompt = builder.build(obs, prompt_name=_FIXTURE_PROMPT_NAME)
assert "tactical director" in prompt
def test_prompt_version_delegates_to_pack() -> None:
builder = _builder()
pack = _pack()
assert builder.prompt_version(_FIXTURE_PROMPT_NAME) == pack.prompt_version(_FIXTURE_PROMPT_NAME)
def test_action_schema_cross_pin_with_nl_policy_kindvalue() -> None:
"""The kind enum in the schema must match nl_policy.KindValue exactly."""
schema = action_schema()
assert schema["properties"]["kind"]["enum"] == list(_get_args(KindValue))