from __future__ import annotations

import pytest
from pydantic import ValidationError

from gap_pipeline.models import (
    JudgeVerdict,
    KernelCandidate,
    KernelPlan,
    ProofPlanDAG,
)


def test_valid_plan_and_candidate(plan_dict: dict, candidate_dict: dict) -> None:
    plan = KernelPlan.model_validate(plan_dict)
    candidate = KernelCandidate.model_validate(candidate_dict)
    assert len(plan.core_steps) == 2
    assert candidate.question.startswith("Let x")


def test_plan_requires_slots(plan_dict: dict) -> None:
    plan_dict["mutable_slots"] = {}
    with pytest.raises(ValidationError, match="mutable slot"):
        KernelPlan.model_validate(plan_dict)


def test_plan_rejects_more_than_five_core_steps(plan_dict: dict) -> None:
    plan_dict["core_steps"] = [f"step {index}" for index in range(6)]
    with pytest.raises(ValidationError):
        KernelPlan.model_validate(plan_dict)


def test_candidate_requires_question_and_solution(candidate_dict: dict) -> None:
    candidate_dict["solution"] = ""
    with pytest.raises(ValidationError, match="non-empty"):
        KernelCandidate.model_validate(candidate_dict)


def test_accept_verdict_cannot_report_blocking_issue() -> None:
    with pytest.raises(ValidationError, match="cannot contain"):
        JudgeVerdict(
            verdict="accept",
            step_by_step_check="checked",
            blocking_issues="an error",
        )


def test_path_dag_is_derived_from_ordered_plan(plan_dict: dict) -> None:
    dag = ProofPlanDAG.from_plan(KernelPlan.model_validate(plan_dict))
    assert [node.node_id for node in dag.nodes] == ["n1", "n2"]
    assert dag.nodes[0].dependencies == []
    assert dag.nodes[1].dependencies == ["n1"]
    assert dag.terminal_node_id == "n2"
    assert dag.method_labels_payload()[0].startswith("n1: ")


def test_dag_rejects_cycle() -> None:
    with pytest.raises(ValidationError, match="cycle"):
        ProofPlanDAG.model_validate(
            {
                "nodes": [
                    {
                        "node_id": "n1",
                        "method_label": "first",
                        "dependencies": ["n2"],
                    },
                    {
                        "node_id": "n2",
                        "method_label": "second",
                        "dependencies": ["n1"],
                    },
                ],
                "terminal_node_id": "n2",
            }
        )


def test_path_dag_rejects_skipped_dependency() -> None:
    with pytest.raises(ValidationError, match="lead to the terminal"):
        ProofPlanDAG.model_validate(
            {
                "nodes": [
                    {
                        "node_id": "n1",
                        "method_label": "first",
                        "dependencies": [],
                    },
                    {
                        "node_id": "n2",
                        "method_label": "second",
                        "dependencies": [],
                    },
                ],
                "terminal_node_id": "n2",
            }
        )


def test_judge_verdict_does_not_require_keyword_coverage() -> None:
    verdict = JudgeVerdict(
        verdict="reject",
        step_by_step_check=(
            "The early derivation is correct, but the announced replacement "
            "never appears in the candidate problem."
        ),
        blocking_issues="the candidate is unchanged from the original",
        patch_suggestion="apply the declared replacement",
    )
    assert verdict.verdict == "reject"


def test_judge_verdict_normalizes_structured_text_fields() -> None:
    verdict = JudgeVerdict.model_validate(
        {
            "verdict": "accept",
            "step_by_step_check": {
                "n1": "correctly instantiated",
                "n2": "correctly instantiated",
            },
            "blocking_issues": None,
            "patch_suggestion": None,
        }
    )

    assert '"n1"' in verdict.step_by_step_check
    assert verdict.blocking_issues == ""
    assert verdict.patch_suggestion == ""


def test_dag_labels_must_match_prompt_a_plan(plan_dict: dict) -> None:
    plan = KernelPlan.model_validate(plan_dict)
    dag = ProofPlanDAG.from_plan(plan)
    changed_plan = plan.model_copy(
        update={"core_steps": ["a different method", plan.core_steps[1]]}
    )
    with pytest.raises(ValueError, match="must equal Prompt-A core_steps"):
        dag.validate_plan(changed_plan)