from unittest.mock import MagicMock

from app.services import scheme_management


def _mock_connection(monkeypatch):
    cursor = MagicMock()
    cursor.rowcount = 1
    connection = MagicMock()
    connection.cursor.return_value.__enter__.return_value = cursor
    context = MagicMock()
    context.__enter__.return_value = connection
    monkeypatch.setattr(scheme_management, "project_connection", lambda _name: context)
    return cursor


def test_repeated_analysis_names_create_distinct_run_ids(monkeypatch) -> None:
    cursor = _mock_connection(monkeypatch)
    arguments = {
        "name": "tjwater_next",
        "scheme_name": "same-window",
        "scheme_type": "burst_analysis",
        "username": "alice",
        "scheme_start_time": "2026-08-24T00:00:00Z",
        "scheme_detail": {},
    }

    first = scheme_management.create_analysis_run(**arguments)
    second = scheme_management.create_analysis_run(**arguments)

    assert first != second
    assert cursor.execute.call_count == 2
    assert all(
        "insert into analysis.runs" in call.args[0].lower()
        for call in cursor.execute.call_args_list
    )


def test_update_analysis_run_targets_execution_id(monkeypatch) -> None:
    cursor = _mock_connection(monkeypatch)
    run_id = scheme_management.create_analysis_run(
        name="tjwater_next",
        scheme_name="run",
        scheme_type="burst_analysis",
        username="alice",
        scheme_start_time="2026-08-24T00:00:00Z",
        scheme_detail={},
    )
    cursor.reset_mock()

    scheme_management.update_analysis_run(
        "tjwater_next",
        run_id,
        status="completed",
        username="alice",
        scheme_detail={"window": "24h"},
    )

    statement, params = cursor.execute.call_args.args
    assert "where run_id = %s" in statement.lower()
    assert params[-1] == run_id
    assert params[1] == "completed"


def test_run_and_business_result_share_one_transaction(monkeypatch) -> None:
    connection = object()
    context = MagicMock()
    context.__enter__.return_value = connection
    monkeypatch.setattr(
        scheme_management,
        "project_transaction",
        lambda _name: context,
    )
    created_ids = []
    result_ids = []
    monkeypatch.setattr(
        scheme_management.AnalysisRepository,
        "create_run_sync",
        lambda conn, **kwargs: created_ids.append((conn, kwargs["run_id"])),
    )
    monkeypatch.setattr(
        scheme_management.AnalysisRepository,
        "insert_result_sync",
        lambda conn, run_id, **_kwargs: result_ids.append((conn, run_id)),
    )

    run_id = scheme_management.store_analysis_run_with_result(
        name="tjwater_v2",
        scheme_name="leak-run",
        scheme_type="dma_leak_identification",
        username="alice",
        scheme_start_time="2026-08-24T00:00:00Z",
        scheme_detail={},
        result_type="leakage_identification",
        result_payload={"rows": []},
    )

    assert created_ids == [(connection, run_id)]
    assert result_ids == [(connection, run_id)]