"""Test for the Home Page."""
import datetime
from collections.abc import Generator
from unittest.mock import patch

import pandas as pd
import pytest

from aki_prj23_transparenzregister.ui.pages import home


def test_import() -> None:
    """Checks if an import co company_stats_dash can be made."""
    assert home is not None


@pytest.mark.tim()
def test_person_relation_type_filter() -> None:
    with patch(
        "aki_prj23_transparenzregister.ui.pages.home.get_all_person_relations"
    ) as mock_filter:
        data = [
            {"relation_type": "Eigentümer"},
            {"relation_type": "Inhaber"},
            {"relation_type": "Eigentümer"},
        ]
        mock_filter.return_value = pd.DataFrame(data)
        assert list(home.person_relation_type_filter()) == ["Eigentümer", "Inhaber"]


@pytest.mark.tim()
def test_company_relation_type_filter() -> None:
    with patch(
        "aki_prj23_transparenzregister.ui.pages.home.get_all_company_relations"
    ) as mock_filter:
        data = [
            {"relation_type": "Eigentümer"},
            {"relation_type": "Inhaber"},
            {"relation_type": "Eigentümer"},
        ]
        mock_filter.return_value = pd.DataFrame(data)
        assert list(home.company_relation_type_filter()) == ["Eigentümer", "Inhaber"]


@pytest.mark.tim()
def test_update_table() -> None:
    metrics = pd.DataFrame(
        [
            {
                "designation": "Mustermann, Max",
                "category": "Person",
                "centrality": 3.14,
                "betweenness": 42,
            },
            {
                "designation": "Musterfrau, Martina",
                "category": "Person",
                "centrality": 42,
                "betweenness": 3.14,
            },
        ]
    )
    selected_metric = "centrality"

    expected_result_df = [
        {
            "designation": "Musterfrau, Martina",
            "category": "Person",
            "centrality": 42.0,
        },
        {
            "designation": "Mustermann, Max",
            "category": "Person",
            "centrality": 3.14,
        },
    ]
    expected_result_columns = [
        {"name": "designation", "id": "designation"},
        {"name": "category", "id": "category"},
        {"name": "centrality", "id": "centrality"},
    ]

    result_df, result_columns = home.update_table(selected_metric, metrics)
    assert result_df == expected_result_df
    assert result_columns == expected_result_columns


@pytest.fixture(scope="session", autouse=True)
def _get_person_relations() -> Generator:
    data = [
        {
            "id_company": 1,
            "name_company": "0 10 24 Telefondienste GmbH",
            "relation_type": "GESCHAEFTSFUEHRER",
            "id_person": 1,
            "lastname": "Tetau",
            "firstname": "Nicolas",
            "date_of_birth": datetime.date(1971, 1, 2),
        },
        {
            "id_company": 1,
            "name_company": "0 10 24 Telefondienste GmbH",
            "relation_type": "PROKURIST",
            "id_person": 2,
            "lastname": "Dammast",
            "firstname": "Lutz",
            "date_of_birth": datetime.date(1966, 12, 6),
        },
        {
            "id_company": 2,
            "name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
            "relation_type": "KOMMANDITIST",
            "id_person": 3,
            "lastname": "Tutsch",
            "firstname": "Rosemarie",
            "date_of_birth": datetime.date(1941, 10, 9),
        },
        {
            "id_company": 2,
            "name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
            "relation_type": "HAFTENDER_GESELLSCHAFTER",
            "id_person": 4,
            "lastname": "Staiger",
            "firstname": "Marc",
            "date_of_birth": datetime.date(1969, 10, 22),
        },
        {
            "id_company": 2,
            "name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
            "relation_type": "HAFTENDER_GESELLSCHAFTER",
            "id_person": 5,
            "lastname": "Staiger",
            "firstname": "Michaela",
            "date_of_birth": datetime.date(1971, 3, 3),
        },
    ]
    with patch(
        "aki_prj23_transparenzregister.ui.pages.home.get_all_person_relations"
    ) as mock_get_person_relations:
        mock_get_person_relations.return_value = pd.DataFrame(data)
        yield


@pytest.fixture(scope="session", autouse=True)
def _get_company_relations() -> Generator:
    data = [
        {
            "id_company_to": 2,
            "name_company_to": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
            "relation_type": "GESCHAEFTSFUEHRER",
            "name_company_from": "Staiger I. Verwaltung-GmbH",
            "id_company_from": 3226,
        },
        {
            "id_company_to": 3,
            "name_company_to": "1 A Autenrieth Kunststofftechnik GmbH & Co. KG",
            "relation_type": "GESCHAEFTSFUEHRER",
            "name_company_from": "Autenrieth Verwaltungs-GmbH",
            "id_company_from": 3324,
        },
        {
            "id_company_to": 5,
            "name_company_to": "2. Schaper Objekt GmbH & Co. Kiel KG",
            "relation_type": "KOMMANDITIST",
            "name_company_from": "Multi-Center Warenvertriebs GmbH",
            "id_company_from": 2213,
        },
        {
            "id_company_to": 6,
            "name_company_to": "AASP Filmproduktionsgesellschaft mbH & Co. Leonie KG",
            "relation_type": "INHABER",
            "name_company_from": "ABN AMRO Structured Products Gesellschaft für Fondsbeteiligungen mbH",
            "id_company_from": 3332,
        },
        {
            "id_company_to": 6,
            "name_company_to": "AASP Filmproduktionsgesellschaft mbH & Co. Leonie KG",
            "relation_type": "KOMMANDITIST",
            "name_company_from": "Kallang GmbH",
            "id_company_from": 3316,
        },
    ]
    with patch(
        "aki_prj23_transparenzregister.ui.pages.home.get_all_company_relations"
    ) as mock_get_person_relations:
        mock_get_person_relations.return_value = pd.DataFrame(data)
        yield


@pytest.mark.tim()
def test_update_graph_data() -> None:
    graph_result, metrics_result, nodes_result, edges_result = home.update_graph_data(
        "HAFTENDER_GESELLSCHAFTER", "GESCHAEFTSFUEHRER"
    )
    assert graph_result is not None