"""Tests for ``EvoScientist.config.legacy_artifacts`` (design doc §10 step 4).

Startup must refuse — with an explicit reset guide — when any pre-Registry
model configuration artifact remains: an old ``providers.yaml``, an old
``run-runtime-snapshots.sqlite3``, or leftover LLM fields in
``config.yaml``. Platform fields in ``config.yaml`` are fine.
"""

from __future__ import annotations

import pytest
import yaml

from EvoScientist.config.legacy_artifacts import (
    LEGACY_CONFIG_YAML_KEYS,
    LegacyArtifactsError,
    assert_no_legacy_artifacts,
    find_legacy_artifacts,
)


def test_clean_config_dir_passes(tmp_path):
    (tmp_path / "config.yaml").write_text(
        yaml.safe_dump({"workspace_dir": "/tmp/ws", "langgraph_port": 2024}),
        encoding="utf-8",
    )
    assert find_legacy_artifacts(tmp_path) == []
    assert_no_legacy_artifacts(tmp_path)  # must not raise


def test_missing_config_yaml_passes(tmp_path):
    assert find_legacy_artifacts(tmp_path) == []
    assert_no_legacy_artifacts(tmp_path)


def test_legacy_providers_yaml_refused(tmp_path):
    (tmp_path / "providers.yaml").write_text("providers: []\n", encoding="utf-8")
    found = find_legacy_artifacts(tmp_path)
    assert any("providers.yaml" in item for item in found)
    with pytest.raises(LegacyArtifactsError) as excinfo:
        assert_no_legacy_artifacts(tmp_path)
    message = str(excinfo.value)
    assert "providers.yaml" in message
    # The reset guide is part of the refusal (section 10 step 4).
    assert "Delete" in message
    assert "Model Registry" in message


def test_legacy_snapshot_database_refused(tmp_path):
    (tmp_path / "run-runtime-snapshots.sqlite3").touch()
    found = find_legacy_artifacts(tmp_path)
    assert any("run-runtime-snapshots.sqlite3" in item for item in found)
    with pytest.raises(LegacyArtifactsError, match="run-runtime-snapshots"):
        assert_no_legacy_artifacts(tmp_path)


def test_leftover_llm_fields_in_config_yaml_refused(tmp_path):
    (tmp_path / "config.yaml").write_text(
        yaml.safe_dump(
            {
                "workspace_dir": "/tmp/ws",
                "model": "glm-5.2",
                "zhipu_api_key": "sk-old",
                "model_fallbacks": ["gpt-5"],
            }
        ),
        encoding="utf-8",
    )
    found = find_legacy_artifacts(tmp_path)
    assert len(found) == 1
    assert "model" in found[0]
    assert "zhipu_api_key" in found[0]
    with pytest.raises(LegacyArtifactsError) as excinfo:
        assert_no_legacy_artifacts(tmp_path)
    assert "zhipu_api_key" in str(excinfo.value)


def test_all_artifacts_reported_together(tmp_path):
    (tmp_path / "providers.yaml").touch()
    (tmp_path / "run-runtime-snapshots.sqlite3").touch()
    (tmp_path / "config.yaml").write_text(
        yaml.safe_dump({"provider": "zhipu"}), encoding="utf-8"
    )
    found = find_legacy_artifacts(tmp_path)
    assert len(found) == 3


def test_invalid_config_yaml_not_misread_as_legacy(tmp_path):
    (tmp_path / "config.yaml").write_text("{{{{ not yaml", encoding="utf-8")
    # Unparseable YAML yields no key evidence — other layers report it.
    assert find_legacy_artifacts(tmp_path) == []


def test_legacy_key_set_covers_cutover_fields():
    # Spot-check the section-10 cutover list stays comprehensive.
    for key in ("provider", "model", "auxiliary_model", "anthropic_api_key"):
        assert key in LEGACY_CONFIG_YAML_KEYS