from __future__ import annotations

import json
from pathlib import Path
from types import SimpleNamespace
from typing import Any

import pytest

import tools.rag.evaluation.evaluate_rag_answers as evaluator


def sample_question(
    question_id: str = "q0001",
    *,
    question: str = ("Aká je téma práce?"),
) -> dict[str, Any]:
    return {
        "id": question_id,
        "split": "dev",
        "category": "specific_fact",
        "difficulty": "medium",
        "question": question,
        "expected_documents": ["pages/test/README.md"],
        "expected_source_urls": ["https://example.test/source"],
        "expected_answer_contains": ["test"],
        "should_answer": True,
        "note": None,
    }


def sample_configuration() -> dict[
    str,
    Any,
]:
    return {
        "schema_version": (evaluator.PARTIAL_SCHEMA_VERSION),
        "questions_file": ("/tmp/questions.json"),
        "overrides_file": ("/tmp/overrides.json"),
        "questions_fingerprint": ("abc123"),
        "selected_question_ids": [
            "q0001",
            "q0002",
        ],
        "applied_override_ids": [],
        "split": "dev",
        "selected_question_count": 2,
        "requested_model": ("model120-fast"),
        "operation_id": ("retrieve_zpwiki_context"),
        "openwebui_url": ("https://ui.example/api"),
        "rag_url": ("http://localhost:8000/rag"),
        "timeout": 180,
        "max_attempts": 4,
        "backoff_base": 1.0,
        "backoff_max": 8.0,
        "delay": 0.5,
    }


def test_save_json_results_is_atomic_and_valid(
    tmp_path: Path,
) -> None:
    path = tmp_path / "result.partial.json"

    payload = {
        "status": "partial",
        "results": [{"id": "q0001"}],
    }

    evaluator.save_json_results(
        path,
        payload,
    )

    loaded = json.loads(path.read_text(encoding="utf-8"))

    assert loaded == payload

    assert path.read_bytes().endswith(b"\n")

    assert list(tmp_path.glob(".*.tmp")) == []


def test_questions_fingerprint_is_stable_and_detects_change() -> None:
    first = [sample_question()]

    same = [sample_question()]

    changed = [sample_question(question=("Iná otázka"))]

    assert evaluator.questions_fingerprint(first) == evaluator.questions_fingerprint(same)

    assert evaluator.questions_fingerprint(first) != evaluator.questions_fingerprint(changed)


def test_validate_answer_questions_accepts_valid_question() -> None:
    evaluator.validate_answer_questions([sample_question()])


def test_validate_answer_questions_rejects_invalid_types() -> None:
    question = sample_question()

    question["should_answer"] = "yes"

    with pytest.raises(
        ValueError,
        match="should_answer",
    ):
        evaluator.validate_answer_questions([question])

    question = sample_question()

    question["expected_source_urls"] = "https://example.test/source"

    with pytest.raises(
        ValueError,
        match="expected_source_urls",
    ):
        evaluator.validate_answer_questions([question])


def test_validate_resume_compatibility_accepts_matching_configuration() -> None:
    configuration = sample_configuration()

    evaluator.validate_resume_compatibility(
        configuration,
        dict(configuration),
    )


def test_validate_resume_compatibility_rejects_model_mismatch() -> None:
    partial_configuration = sample_configuration()

    current_configuration = sample_configuration()

    current_configuration["requested_model"] = "model2"

    with pytest.raises(
        ValueError,
        match="requested_model",
    ):
        evaluator.validate_resume_compatibility(
            partial_configuration,
            current_configuration,
        )


def test_extract_resume_state_skips_success_and_retries_errors() -> None:
    partial_payload = {
        "results": [
            {
                "id": "q0001",
                "answer": "ok",
                "error": None,
            },
            {
                "id": "q0002",
                "answer": "",
                "error": "timeout",
            },
        ]
    }

    (
        successful,
        failed_ids,
    ) = evaluator.extract_resume_state(
        partial_payload,
        selected_question_ids={
            "q0001",
            "q0002",
        },
    )

    assert set(successful) == {"q0001"}

    assert failed_ids == ["q0002"]


def test_extract_resume_state_rejects_duplicate_ids() -> None:
    partial_payload = {
        "results": [
            {
                "id": "q0001",
                "error": None,
            },
            {
                "id": "q0001",
                "error": None,
            },
        ]
    }

    with pytest.raises(
        ValueError,
        match="duplicitné",
    ):
        evaluator.extract_resume_state(
            partial_payload,
            selected_question_ids={"q0001"},
        )


def test_determine_run_status_distinguishes_states() -> None:
    assert (
        evaluator.determine_run_status(
            [],
            expected_total=2,
        )
        == "partial"
    )

    assert (
        evaluator.determine_run_status(
            [
                {
                    "id": "q0001",
                    "error": None,
                }
            ],
            expected_total=2,
        )
        == "partial"
    )

    assert (
        evaluator.determine_run_status(
            [
                {
                    "id": "q0001",
                    "error": None,
                },
                {
                    "id": "q0002",
                    "error": "timeout",
                },
            ],
            expected_total=2,
        )
        == "complete_with_errors"
    )

    assert (
        evaluator.determine_run_status(
            [
                {
                    "id": "q0001",
                    "error": None,
                },
                {
                    "id": "q0002",
                    "error": None,
                },
            ],
            expected_total=2,
        )
        == "complete"
    )


def test_prepare_output_state_requires_resume_or_overwrite_for_partial(
    tmp_path: Path,
) -> None:
    json_path = tmp_path / "results.json"

    csv_path = tmp_path / "results.csv"

    partial_path = tmp_path / "results.partial.json"

    partial_path.write_text(
        "{}\n",
        encoding="utf-8",
    )

    with pytest.raises(
        FileExistsError,
        match="--resume",
    ):
        evaluator.prepare_output_state(
            json_path=(json_path),
            csv_path=(csv_path),
            partial_path=(partial_path),
            resume=False,
            overwrite=False,
        )

    evaluator.prepare_output_state(
        json_path=(json_path),
        csv_path=(csv_path),
        partial_path=(partial_path),
        resume=False,
        overwrite=True,
    )

    assert not partial_path.exists()


def test_prepare_output_state_requires_existing_partial_for_resume(
    tmp_path: Path,
) -> None:
    with pytest.raises(
        FileNotFoundError,
        match="partial neexistuje",
    ):
        evaluator.prepare_output_state(
            json_path=(tmp_path / "results.json"),
            csv_path=(tmp_path / "results.csv"),
            partial_path=(tmp_path / "results.partial.json"),
            resume=True,
            overwrite=False,
        )


def test_build_run_configuration_contains_fingerprint(
    tmp_path: Path,
) -> None:
    questions_path = tmp_path / "questions.json"

    overrides_path = tmp_path / "overrides.json"

    questions_path.write_text(
        "[]\n",
        encoding="utf-8",
    )

    overrides_path.write_text(
        "{}\n",
        encoding="utf-8",
    )

    args = SimpleNamespace(
        questions=(questions_path),
        overrides=(overrides_path),
        split="dev",
        model="model120-fast",
        timeout=180,
        max_attempts=4,
        backoff_base=1.0,
        backoff_max=8.0,
        delay=0.5,
    )

    questions = [sample_question()]

    configuration = evaluator.build_run_configuration(
        args=args,
        questions=(questions),
        selected_override_ids=[],
        operation_id=("retrieve_zpwiki_context"),
    )

    assert configuration["schema_version"] == evaluator.PARTIAL_SCHEMA_VERSION

    assert configuration["selected_question_ids"] == ["q0001"]

    assert configuration["questions_fingerprint"] == evaluator.questions_fingerprint(questions)


def test_apply_question_overrides_rejects_empty_question(
    tmp_path: Path,
) -> None:
    questions = [sample_question()]

    overrides_path = tmp_path / "overrides.json"

    overrides_path.write_text(
        json.dumps(
            {"q0001": {"question": "   "}},
            ensure_ascii=False,
        )
        + "\n",
        encoding="utf-8",
    )

    with pytest.raises(
        ValueError,
        match="override question",
    ):
        evaluator.apply_question_overrides(
            questions,
            overrides_path,
        )