"""
High-value tests for benchmark schema definitions.

Covers:
- BenchmarkStatus enum values and completeness
- DatasetType enum values and completeness
- Table definition structures (columns, indexes, constraints, foreign keys)
- create_benchmark_tables_simple: actual table creation with in-memory SQLite
"""

import pytest
from sqlalchemy import create_engine, inspect

from local_deep_research.web.database.benchmark_schema import (
    BenchmarkStatus,
    DatasetType,
    benchmark_configs_table,
    benchmark_progress_table,
    benchmark_results_table,
    benchmark_runs_table,
    create_benchmark_tables_simple,
)


# ---------------------------------------------------------------------------
# Enum definitions
# ---------------------------------------------------------------------------


class TestBenchmarkStatus:
    """Tests for BenchmarkStatus enum."""

    def test_all_expected_values(self):
        assert BenchmarkStatus.PENDING.value == "pending"
        assert BenchmarkStatus.IN_PROGRESS.value == "in_progress"
        assert BenchmarkStatus.COMPLETED.value == "completed"
        assert BenchmarkStatus.FAILED.value == "failed"
        assert BenchmarkStatus.CANCELLED.value == "cancelled"
        assert BenchmarkStatus.PAUSED.value == "paused"

    def test_member_count(self):
        assert len(BenchmarkStatus) == 6

    def test_values_are_unique(self):
        values = [s.value for s in BenchmarkStatus]
        assert len(values) == len(set(values))

    def test_lookup_by_name(self):
        assert BenchmarkStatus["PENDING"] is BenchmarkStatus.PENDING

    def test_lookup_invalid_raises(self):
        with pytest.raises(KeyError):
            BenchmarkStatus["NONEXISTENT"]


class TestDatasetType:
    """Tests for DatasetType enum."""

    def test_all_expected_values(self):
        assert DatasetType.SIMPLEQA.value == "simpleqa"
        assert DatasetType.BROWSECOMP.value == "browsecomp"
        assert DatasetType.CUSTOM.value == "custom"

    def test_member_count(self):
        assert len(DatasetType) == 3

    def test_values_are_unique(self):
        values = [d.value for d in DatasetType]
        assert len(values) == len(set(values))


# ---------------------------------------------------------------------------
# Table definition structures
# ---------------------------------------------------------------------------


class TestTableDefinitions:
    """Tests for table definition dict structures."""

    def test_benchmark_runs_table_name(self):
        assert benchmark_runs_table["table_name"] == "benchmark_runs"

    def test_benchmark_runs_has_columns(self):
        assert len(benchmark_runs_table["columns"]) > 0

    def test_benchmark_runs_has_indexes(self):
        assert len(benchmark_runs_table["indexes"]) >= 2

    def test_benchmark_results_table_name(self):
        assert benchmark_results_table["table_name"] == "benchmark_results"

    def test_benchmark_results_has_foreign_key(self):
        """benchmark_results has a FK to benchmark_runs.id."""
        columns = benchmark_results_table["columns"]
        fk_columns = [
            c
            for c in columns
            if c.foreign_keys or (hasattr(c, "name") and "run_id" in str(c))
        ]
        # At least one column should reference benchmark_runs
        assert len(fk_columns) >= 1

    def test_benchmark_results_has_unique_constraint(self):
        constraints = benchmark_results_table.get("constraints", [])
        assert len(constraints) >= 1

    def test_benchmark_configs_table_name(self):
        assert benchmark_configs_table["table_name"] == "benchmark_configs"

    def test_benchmark_progress_table_name(self):
        assert benchmark_progress_table["table_name"] == "benchmark_progress"

    def test_all_tables_have_id_column(self):
        for table_def in [
            benchmark_runs_table,
            benchmark_results_table,
            benchmark_configs_table,
            benchmark_progress_table,
        ]:
            column_names = [c.name for c in table_def["columns"]]
            assert "id" in column_names, (
                f"{table_def['table_name']} missing id column"
            )


# ---------------------------------------------------------------------------
# create_benchmark_tables_simple with in-memory SQLite
# ---------------------------------------------------------------------------


class TestCreateBenchmarkTablesSimple:
    """Tests for actual table creation using SQLite in-memory.

    Uses a module-scoped engine because the Column objects in the schema module
    are module-level singletons that get bound to a Table on first use and
    cannot be re-bound to a different MetaData instance.
    """

    @pytest.fixture(scope="class")
    def db_engine(self):
        """Create an in-memory SQLite engine shared across tests in this class."""
        engine = create_engine("sqlite:///:memory:")
        create_benchmark_tables_simple(engine)
        return engine

    def test_creates_all_four_tables(self, db_engine):
        inspector = inspect(db_engine)
        tables = inspector.get_table_names()

        assert "benchmark_runs" in tables
        assert "benchmark_results" in tables
        assert "benchmark_configs" in tables
        assert "benchmark_progress" in tables

    def test_benchmark_runs_columns(self, db_engine):
        inspector = inspect(db_engine)
        columns = {c["name"] for c in inspector.get_columns("benchmark_runs")}

        expected = {
            "id",
            "run_name",
            "config_hash",
            "query_hash_list",
            "search_config",
            "evaluation_config",
            "datasets_config",
            "status",
            "created_at",
            "updated_at",
            "start_time",
            "end_time",
            "total_examples",
            "completed_examples",
            "failed_examples",
            "overall_accuracy",
            "processing_rate",
            "error_message",
        }
        assert expected.issubset(columns)

    def test_benchmark_results_columns(self, db_engine):
        inspector = inspect(db_engine)
        columns = {
            c["name"] for c in inspector.get_columns("benchmark_results")
        }

        expected = {
            "id",
            "benchmark_run_id",
            "example_id",
            "query_hash",
            "dataset_type",
            "question",
            "correct_answer",
            "response",
            "is_correct",
            "processing_time",
            "confidence",
        }
        assert expected.issubset(columns)

    def test_benchmark_configs_columns(self, db_engine):
        inspector = inspect(db_engine)
        columns = {
            c["name"] for c in inspector.get_columns("benchmark_configs")
        }

        expected = {
            "id",
            "name",
            "description",
            "config_hash",
            "search_config",
            "evaluation_config",
            "datasets_config",
            "is_default",
            "is_public",
            "usage_count",
        }
        assert expected.issubset(columns)

    def test_benchmark_progress_columns(self, db_engine):
        inspector = inspect(db_engine)
        columns = {
            c["name"] for c in inspector.get_columns("benchmark_progress")
        }

        expected = {
            "id",
            "benchmark_run_id",
            "timestamp",
            "completed_examples",
            "total_examples",
            "overall_accuracy",
        }
        assert expected.issubset(columns)

    def test_benchmark_results_foreign_key_exists(self, db_engine):
        inspector = inspect(db_engine)
        fks = inspector.get_foreign_keys("benchmark_results")
        fk_tables = [fk["referred_table"] for fk in fks]
        assert "benchmark_runs" in fk_tables

    def test_benchmark_progress_foreign_key_exists(self, db_engine):
        inspector = inspect(db_engine)
        fks = inspector.get_foreign_keys("benchmark_progress")
        fk_tables = [fk["referred_table"] for fk in fks]
        assert "benchmark_runs" in fk_tables
