"""The safety model may decide immediately or use one inspection call."""

from __future__ import annotations

import json
from pathlib import Path
from types import SimpleNamespace
from typing import TYPE_CHECKING, Any, Literal

import pytest
from agents import Agent, Runner
from agents.items import ModelResponse
from agents.models.interface import Model
from agents.tool_context import ToolContext
from agents.usage import Usage
from openai.types.responses import (
    ResponseFunctionToolCall,
    ResponseOutputMessage,
    ResponseOutputText,
)

import strix.safety.reviewer as reviewer_module
from strix.config.settings import SafetySettings
from strix.safety.evidence import EvidenceBundle
from strix.safety.reviewer import SafetyReviewer, run_inspection
from strix.safety.types import InspectionContext, SafetyVerdict


if TYPE_CHECKING:
    from pytest import MonkeyPatch


class _InspectionRunner:
    def __init__(self) -> None:
        self.calls = 0

    async def run(self, *, evidence_dir: str, script: str) -> str:
        self.calls += 1
        return f"inspected {Path(evidence_dir).name}: {script}"


class _Result:
    def __init__(self, verdict: SafetyVerdict) -> None:
        self._verdict = verdict
        self.context_wrapper = SimpleNamespace(usage=SimpleNamespace())

    def final_output_as(self, _cls: type[Any], *, raise_if_incorrect_type: bool) -> SafetyVerdict:
        assert raise_if_incorrect_type is True
        return self._verdict


def _settings() -> Any:
    return SimpleNamespace(
        safety=SafetySettings(model="test-model"),
        llm=SimpleNamespace(
            model="main-model",
            extra_headers=None,
        ),
    )


@pytest.mark.asyncio
async def test_reviewer_is_capped_at_two_turns_and_zero_retries(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    captured: dict[str, Any] = {}

    async def fake_run(agent: Any, *, input: str, context: Any, max_turns: int) -> _Result:  # noqa: A002
        captured.update(agent=agent, input=input, context=context, max_turns=max_turns)
        return _Result(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=[],
                reason="read only",
                confidence=0.99,
            )
        )

    monkeypatch.setattr(reviewer_module, "load_settings", _settings)
    monkeypatch.setattr(reviewer_module, "configure_sdk_model_defaults", lambda _settings: None)
    monkeypatch.setattr(
        reviewer_module.StrixProvider, "get_model", lambda _self, _name: "test-model"
    )
    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)
    monkeypatch.setattr(reviewer_module, "get_global_report_state", lambda: None)
    bundle = EvidenceBundle(
        case_id="case-1",
        root=tmp_path,
        packet={"completeness": {"status": "complete"}},
        complete=True,
        incomplete_reasons=[],
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(bundle)

    assert decision.allowed is True
    assert captured["max_turns"] == 2
    assert [tool.name for tool in captured["agent"].tools] == ["run_inspection"]
    assert captured["agent"].model_settings.retry.max_retries == 0
    # The cap also covers reasoning tokens; a verdict-sized budget would truncate the
    # structured output on a reasoning model and fail every review closed.
    assert captured["agent"].model_settings.max_tokens == SafetySettings().max_output_tokens


@pytest.mark.asyncio
async def test_review_budget_covers_both_turns_and_the_inspection(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    captured: dict[str, Any] = {}

    async def fake_wait_for(awaitable: Any, *, timeout: float) -> Any:
        captured["timeout"] = timeout
        return await awaitable

    async def fake_run(_agent: Any, **_kwargs: Any) -> _Result:
        return _Result(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=[],
                reason="read only",
                confidence=0.99,
            )
        )

    monkeypatch.setattr(reviewer_module, "load_settings", _settings)
    monkeypatch.setattr(reviewer_module, "configure_sdk_model_defaults", lambda _settings: None)
    monkeypatch.setattr(
        reviewer_module.StrixProvider, "get_model", lambda _self, _name: "test-model"
    )
    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)
    monkeypatch.setattr(reviewer_module, "get_global_report_state", lambda: None)
    monkeypatch.setattr(reviewer_module.asyncio, "wait_for", fake_wait_for)
    bundle = EvidenceBundle(
        case_id="case-budget",
        root=tmp_path,
        packet={"completeness": {"status": "complete"}},
        complete=True,
        incomplete_reasons=[],
    )

    await SafetyReviewer(inspection_runner=_InspectionRunner()).review(bundle)

    safety = SafetySettings()
    assert captured["timeout"] == 2 * safety.timeout + safety.inspection_timeout


@pytest.mark.asyncio
async def test_inspection_tool_can_only_run_once(tmp_path: Path) -> None:
    runner = _InspectionRunner()
    state = InspectionContext(evidence_dir=str(tmp_path), runner=runner)
    ctx = ToolContext(
        context=state,
        tool_name="run_inspection",
        tool_call_id="inspect-1",
        tool_arguments="{}",
    )
    raw = json.dumps({"reason": "correlate files", "script": "print('ok')"})

    first = await run_inspection.on_invoke_tool(ctx, raw)
    second = await run_inspection.on_invoke_tool(ctx, raw)

    assert "inspected" in first
    assert "already used" in second
    assert runner.calls == 1
    assert state.attempts == 2
    assert state.incomplete is True


@pytest.mark.asyncio
async def test_inspection_collects_workspace_files_before_running_script(tmp_path: Path) -> None:
    collected: list[tuple[str, ...]] = []

    async def collect(paths: tuple[str, ...]) -> tuple[str, bool]:
        collected.append(paths)
        return '{"workspace_artifacts":[{"path":"/workspace/hosts.txt"}]}', False

    runner = _InspectionRunner()
    state = InspectionContext(
        evidence_dir=str(tmp_path),
        runner=runner,
        collect_workspace=collect,
    )
    ctx = ToolContext(
        context=state,
        tool_name="run_inspection",
        tool_call_id="inspect-collect",
        tool_arguments="{}",
    )

    result = await run_inspection.on_invoke_tool(
        ctx,
        json.dumps(
            {
                "reason": "resolve host list",
                "workspace_paths": ["/workspace/hosts.txt"],
                "script": "print('analyzed')",
            }
        ),
    )

    assert collected == [("/workspace/hosts.txt",)]
    assert "workspace_artifacts" in result
    assert "inspected" in result
    assert runner.calls == 1


@pytest.mark.asyncio
async def test_inspection_can_collect_without_analysis_script(tmp_path: Path) -> None:
    async def collect(_paths: tuple[str, ...]) -> tuple[str, bool]:
        return "collected file", False

    state = InspectionContext(
        evidence_dir=str(tmp_path),
        runner=_InspectionRunner(),
        collect_workspace=collect,
    )
    ctx = ToolContext(
        context=state,
        tool_name="run_inspection",
        tool_call_id="inspect-read",
        tool_arguments="{}",
    )

    result = await run_inspection.on_invoke_tool(
        ctx,
        json.dumps(
            {
                "reason": "read missing file",
                "workspace_paths": ["/workspace/missing.txt"],
            }
        ),
    )

    assert "collected file" in result
    assert state.incomplete is False


@pytest.mark.asyncio
async def test_real_sdk_loop_replays_inspection_output_into_second_turn(tmp_path: Path) -> None:
    class LoopModel(Model):
        def __init__(self) -> None:
            self.inputs: list[Any] = []
            self.tool_names: list[list[str]] = []

        async def get_response(self, *_args: Any, **kwargs: Any) -> ModelResponse:
            self.inputs.append(kwargs["input"])
            self.tool_names.append([tool.name for tool in kwargs["tools"]])
            if len(self.inputs) == 1:
                return ModelResponse(
                    output=[
                        ResponseFunctionToolCall(
                            call_id="inspect-call",
                            name="run_inspection",
                            arguments=json.dumps(
                                {
                                    "reason": "read host list",
                                    "workspace_paths": ["/workspace/hosts.txt"],
                                }
                            ),
                            type="function_call",
                        )
                    ],
                    usage=Usage(),
                    response_id="response-1",
                )
            replay = json.dumps(kwargs["input"], default=str)
            assert "function_call_output" in replay
            assert "host-a.example.test" in replay
            verdict = SafetyVerdict(
                decision="allow",
                risk="low",
                categories=["read_only_reconnaissance"],
                reason="collected host list proves one bounded GET",
                confidence=0.99,
            ).model_dump_json()
            return ModelResponse(
                output=[
                    ResponseOutputMessage.model_construct(
                        id="message-1",
                        type="message",
                        role="assistant",
                        status="completed",
                        content=[
                            ResponseOutputText(
                                type="output_text",
                                text=verdict,
                                annotations=[],
                            )
                        ],
                    )
                ],
                usage=Usage(),
                response_id="response-2",
            )

        def stream_response(self, *_args: Any, **_kwargs: Any) -> Any:
            raise NotImplementedError

    async def collect(_paths: tuple[str, ...]) -> tuple[str, bool]:
        return '{"path":"/workspace/hosts.txt","source":"host-a.example.test"}', False

    model = LoopModel()
    agent: Agent[InspectionContext] = Agent(
        name="Safety loop test",
        instructions="Use the tool once, then return the typed verdict.",
        model=model,
        tools=[run_inspection],
        output_type=SafetyVerdict,
        tool_use_behavior="run_llm_again",
    )
    context = InspectionContext(
        evidence_dir=str(tmp_path),
        runner=_InspectionRunner(),
        collect_workspace=collect,
    )

    result = await Runner.run(agent, input="deterministic packet", context=context, max_turns=2)

    assert result.final_output_as(SafetyVerdict).decision == "allow"
    assert model.tool_names == [["run_inspection"], []]
    assert len(model.inputs) == 2


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_repeated_inspection_attempt_fails_review_closed(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    async def fake_run(_agent: Any, *, context: Any, **_kwargs: Any) -> _Result:
        context.used = True
        context.attempts = 2
        return _Result(
            SafetyVerdict(
                decision="defer",
                risk="medium",
                categories=[],
                reason="still uncertain",
                confidence=0.9,
            )
        )

    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _incomplete_bundle(tmp_path, "case-repeated-inspection"),
        human_approval_available=True,
    )

    assert decision.source == "review_error"
    assert decision.categories == ("inspection_repeated",)


@pytest.mark.asyncio
async def test_reviewer_failure_blocks(tmp_path: Path, monkeypatch: MonkeyPatch) -> None:
    async def fail(*_args: Any, **_kwargs: Any) -> Any:
        raise RuntimeError("provider down")

    monkeypatch.setattr(reviewer_module, "load_settings", _settings)
    monkeypatch.setattr(reviewer_module, "configure_sdk_model_defaults", lambda _settings: None)
    monkeypatch.setattr(
        reviewer_module.StrixProvider, "get_model", lambda _self, _name: "test-model"
    )
    monkeypatch.setattr(reviewer_module.Runner, "run", fail)
    bundle = EvidenceBundle(
        case_id="case-2",
        root=tmp_path,
        packet={"completeness": {"status": "complete"}},
        complete=True,
        incomplete_reasons=[],
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(bundle)

    assert decision.allowed is False
    assert decision.source == "review_error"


@pytest.fixture
def _patched_sdk(monkeypatch: MonkeyPatch) -> None:
    monkeypatch.setattr(reviewer_module, "load_settings", _settings)
    monkeypatch.setattr(reviewer_module, "configure_sdk_model_defaults", lambda _settings: None)
    monkeypatch.setattr(
        reviewer_module.StrixProvider, "get_model", lambda _self, _name: "test-model"
    )
    monkeypatch.setattr(reviewer_module, "get_global_report_state", lambda: None)


def _bundle(tmp_path: Path, case_id: str) -> EvidenceBundle:
    return EvidenceBundle(
        case_id=case_id,
        root=tmp_path,
        packet={"completeness": {"status": "complete"}},
        complete=True,
        incomplete_reasons=[],
    )


def _incomplete_bundle(tmp_path: Path, case_id: str) -> EvidenceBundle:
    return EvidenceBundle(
        case_id=case_id,
        root=tmp_path,
        packet={
            "completeness": {
                "status": "incomplete",
                "reasons": ["dynamic network destination"],
            }
        },
        complete=False,
        incomplete_reasons=["dynamic network destination"],
    )


def _reviewable_bundle(tmp_path: Path, case_id: str) -> EvidenceBundle:
    return EvidenceBundle(
        case_id=case_id,
        root=tmp_path,
        packet={
            "completeness": {
                "status": "reviewable",
                "hard_gaps": [],
                "reviewable_issues": ["dynamic network destination"],
            }
        },
        complete=True,
        incomplete_reasons=[],
        reviewable_issues=["dynamic network destination"],
    )


def _verdict_run(verdict: SafetyVerdict) -> Any:
    async def fake_run(_agent: Any, **_kwargs: Any) -> _Result:
        return _Result(verdict)

    return fake_run


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_low_confidence_allow_is_refused(tmp_path: Path, monkeypatch: MonkeyPatch) -> None:
    """An allow the reviewer is unsure of is the case the threshold exists for."""
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="allow",
                risk="medium",
                categories=["target_mutation"],
                reason="probably fine",
                confidence=0.5,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, "case-low-confidence")
    )

    assert decision.allowed is False
    assert decision.deferred is False
    assert decision.source == "reviewer"
    assert "below the 0.75 threshold" in decision.reason
    assert decision.categories == ("target_mutation",)


@pytest.mark.parametrize("model_decision", ["allow", "block"])
@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_interactive_low_confidence_verdict_defers(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
    model_decision: Literal["allow", "block"],
) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision=model_decision,
                risk="medium",
                categories=["ambiguous_effect"],
                reason="effect is unclear",
                confidence=0.5,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, f"case-low-{model_decision}"),
        human_approval_available=True,
    )

    assert decision.allowed is False
    assert decision.deferred is True
    assert decision.risk == "medium"
    assert "below the 0.75 threshold" in decision.reason


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_explicit_defer_requires_an_approval_channel(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="defer",
                risk="high",
                categories=["ambiguous_effect"],
                reason="persistence depends on endpoint behavior",
                confidence=0.9,
            )
        ),
    )
    reviewer = SafetyReviewer(inspection_runner=_InspectionRunner())

    interactive = await reviewer.review(
        _bundle(tmp_path, "case-explicit-interactive"),
        human_approval_available=True,
    )
    noninteractive = await reviewer.review(_bundle(tmp_path, "case-explicit-headless"))

    assert interactive.deferred is True
    assert interactive.risk == "high"
    assert noninteractive.allowed is False
    assert noninteractive.deferred is False
    assert "no human approval channel" in noninteractive.reason


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_interactive_incomplete_evidence_requires_the_inspection_call(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="defer",
                risk="medium",
                categories=["incomplete_evidence"],
                reason="destination remains unknown",
                confidence=0.9,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _incomplete_bundle(tmp_path, "case-uninspected"),
        human_approval_available=True,
    )

    assert decision.allowed is False
    assert decision.deferred is False
    assert decision.categories == ("missing_evidence_uninspected",)


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_incomplete_allow_after_inspection_is_deferred_to_human(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    async def fake_run(_agent: Any, *, context: Any, **_kwargs: Any) -> _Result:
        context.used = True
        return _Result(
            SafetyVerdict(
                decision="allow",
                risk="medium",
                categories=["incomplete_evidence"],
                reason="available artifacts look non-destructive",
                confidence=0.95,
            )
        )

    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _incomplete_bundle(tmp_path, "case-inspected"),
        human_approval_available=True,
    )

    assert decision.allowed is False
    assert decision.deferred is True
    assert "dynamic network destination" in decision.reason
    assert "available artifacts look non-destructive" in decision.reason


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_reviewable_issue_can_be_allowed_after_inspection(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    async def fake_run(_agent: Any, *, context: Any, **_kwargs: Any) -> _Result:
        context.used = True
        return _Result(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=["read_only_reconnaissance"],
                reason="inspection resolved the destination and found fixed GET requests",
                confidence=0.95,
            )
        )

    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _reviewable_bundle(tmp_path, "case-reviewable")
    )

    assert decision.allowed is True
    assert decision.deferred is False
    assert decision.source == "reviewer"


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_collected_workspace_file_can_resolve_hard_gap_and_allow(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    bundle = _incomplete_bundle(tmp_path, "case-collected-hard-gap")

    async def collect(paths: tuple[str, ...]) -> tuple[str, bool]:
        assert paths == ("/workspace/hosts.txt",)
        bundle.incomplete_reasons.clear()
        bundle.complete = True
        bundle.packet["completeness"] = {
            "status": "complete",
            "hard_gaps": [],
            "reviewable_issues": [],
        }
        return "collected hosts", False

    async def fake_run(_agent: Any, *, context: Any, **_kwargs: Any) -> _Result:
        assert context.collect_workspace is not None
        await context.collect_workspace(("/workspace/hosts.txt",))
        context.used = True
        return _Result(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=["read_only_reconnaissance"],
                reason="collected host list proves bounded GET requests",
                confidence=0.95,
            )
        )

    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        bundle,
        human_approval_available=True,
        workspace_collector=collect,
    )

    assert decision.allowed is True
    assert decision.deferred is False


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_reviewable_issue_requires_inspection(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=[],
                reason="looks safe",
                confidence=0.95,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _reviewable_bundle(tmp_path, "case-reviewable-uninspected")
    )

    assert decision.allowed is False
    assert decision.categories == ("missing_evidence_uninspected",)


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_confident_allow_passes(tmp_path: Path, monkeypatch: MonkeyPatch) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="allow",
                risk="low",
                categories=[],
                reason="read only",
                confidence=0.8,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, "case-confident")
    )

    assert decision.allowed is True
    assert decision.source == "reviewer"


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
async def test_block_verdict_is_returned_as_a_block(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        reviewer_module.Runner,
        "run",
        _verdict_run(
            SafetyVerdict(
                decision="block",
                risk="high",
                categories=["state_mutation"],
                reason="deletes a record",
                confidence=0.99,
            )
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, "case-block")
    )

    assert decision.allowed is False
    assert decision.deferred is False
    assert decision.source == "reviewer"
    assert decision.reason == "deletes a record"


@pytest.mark.asyncio
async def test_missing_model_configuration_blocks(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
) -> None:
    monkeypatch.setattr(
        reviewer_module,
        "load_settings",
        lambda: SimpleNamespace(
            safety=SafetySettings(model=None),
            llm=SimpleNamespace(model="", extra_headers=None),
        ),
    )

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, "case-no-model")
    )

    assert decision.allowed is False
    assert decision.source == "review_error"
    assert decision.categories == ("review_unavailable",)


@pytest.mark.asyncio
@pytest.mark.usefixtures("_patched_sdk")
@pytest.mark.parametrize("model_decision", ["allow", "defer"])
async def test_non_block_after_a_failed_inspection_is_refused(
    tmp_path: Path,
    monkeypatch: MonkeyPatch,
    model_decision: Literal["allow", "defer"],
) -> None:
    """The reviewer decides from the inspection's own output, so an inspection that failed
    must not be able to underwrite an allow."""

    async def fake_run(_agent: Any, *, context: Any, **_kwargs: Any) -> _Result:
        context.incomplete = True
        return _Result(
            SafetyVerdict(
                decision=model_decision,
                risk="low",
                categories=[],
                reason="looked fine",
                confidence=0.99,
            )
        )

    monkeypatch.setattr(reviewer_module.Runner, "run", fake_run)

    decision = await SafetyReviewer(inspection_runner=_InspectionRunner()).review(
        _bundle(tmp_path, "case-bad-inspection"),
        human_approval_available=True,
    )

    assert decision.allowed is False
    assert decision.deferred is False
    assert decision.categories == ("inspection_incomplete",)


@pytest.mark.parametrize(
    "output",
    [
        "Inspection failed: frozen evidence directory is unavailable.",
        "Inspection exit code: 1",
        "... output truncated ...",
    ],
)
@pytest.mark.asyncio
async def test_inspection_failure_output_is_recognized(tmp_path: Path, output: str) -> None:
    """These strings are produced in inspection.py and matched by substring here, so a
    reword on either side silently stops marking failed inspections."""

    class _Failing:
        async def run(self, *, evidence_dir: str, script: str) -> str:  # noqa: ARG002
            return output

    state = InspectionContext(evidence_dir=str(tmp_path), runner=_Failing())
    ctx = ToolContext(
        context=state,
        tool_name="run_inspection",
        tool_call_id="inspect-1",
        tool_arguments="{}",
    )

    await run_inspection.on_invoke_tool(
        ctx, json.dumps({"reason": "check", "script": "print('x')"})
    )

    assert state.incomplete is True


def test_prompt_judges_security_testing_by_effect_not_technique() -> None:
    """Pins the effect-based guardrails so a future edit cannot silently revert to
    blocking in-scope offensive testing on the technique alone."""
    prompt = reviewer_module._SAFETY_PROMPT
    normalized = " ".join(prompt.split())

    # Authorization framing and the effect-not-technique rule.
    assert "authorized penetration test" in prompt
    assert "not, by itself, a reason to block" in normalized
    # Read probes pass; writes and destruction block.
    assert "OR 1=1" in prompt
    for keyword in ("DROP", "DELETE", "INSERT", "TRUNCATE", "OUTFILE", "xp_cmdshell"):
        assert keyword in prompt
    # Scope enforcement belongs elsewhere, including for passive third-party services.
    assert "Do not enforce authorization scope" in prompt
    assert "crt.sh" in prompt
    assert "solely because their hostname is outside" in prompt
    # Ambiguity only reaches a human when an approval channel exists.
    assert "Return defer only when approval is available" in prompt
    assert "Without human approval, ambiguity must block" in normalized
    assert "MUST use run_inspection exactly once" in prompt
    # Non-negotiable guardrails survive.
    assert "Never allow when completeness.hard_gaps is non-empty" in prompt
    assert 'do not defer merely because completeness.status is "reviewable"' in normalized
    assert "Deterministic policy blocks cannot be overridden" in prompt
    assert "analysis.mutating_request" in prompt


def test_prompt_explains_input_files() -> None:
    prompt = " ".join(reviewer_module._SAFETY_PROMPT.split())
    assert 'role "input"' in prompt