mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
synced 2025-04-22 22:12:53 +02:00
240 lines
7.9 KiB
Python
240 lines
7.9 KiB
Python
"""Test for the Home Page."""
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import datetime
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from collections.abc import Generator
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from typing import Any
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from unittest.mock import patch
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import dash
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import pandas as pd
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import pytest
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from sqlalchemy.orm import Session
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from aki_prj23_transparenzregister.ui.pages import home
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from aki_prj23_transparenzregister.ui.session_handler import SessionHandler
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def test_import() -> None:
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"""Checks if an import co company_stats_dash can be made."""
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assert home is not None
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def test_person_relation_type_filter() -> None:
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with patch(
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"aki_prj23_transparenzregister.ui.pages.home.get_all_person_relations"
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) as mock_filter:
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data = [
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{"relation_type": "Eigentümer"},
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{"relation_type": "Inhaber"},
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{"relation_type": "Eigentümer"},
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]
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mock_filter.return_value = pd.DataFrame(data)
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assert list(home.person_relation_type_filter()) == ["Eigentümer", "Inhaber"]
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def test_company_relation_type_filter() -> None:
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with patch(
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"aki_prj23_transparenzregister.ui.pages.home.get_all_company_relations"
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) as mock_filter:
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data = [
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{"relation_type": "Eigentümer"},
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{"relation_type": "Inhaber"},
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{"relation_type": "Eigentümer"},
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]
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mock_filter.return_value = pd.DataFrame(data)
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assert list(home.company_relation_type_filter()) == ["Eigentümer", "Inhaber"]
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def test_update_table() -> None:
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metrics = pd.DataFrame(
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[
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{
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"designation": "Mustermann, Max",
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"category": "Person",
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"centrality": 3.14,
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"betweenness": 42,
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},
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{
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"designation": "Musterfrau, Martina",
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"category": "Person",
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"centrality": 42,
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"betweenness": 3.14,
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},
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]
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)
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selected_metric = "centrality"
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expected_result_df = [
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{
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"Unternehmen/Person": "Musterfrau, Martina",
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"Kategorie": "Person",
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"Maß: centrality": 42.0,
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},
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{
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"Unternehmen/Person": "Mustermann, Max",
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"Kategorie": "Person",
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"Maß: centrality": 3.14,
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},
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]
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expected_result_columns = [
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{"name": "Unternehmen/Person", "id": "Unternehmen/Person"},
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{"name": "Kategorie", "id": "Kategorie"},
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{"name": "Maß: centrality", "id": "Maß: centrality"},
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]
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result_df, result_columns = home.update_table(selected_metric, metrics)
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assert result_df == expected_result_df
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assert result_columns == expected_result_columns
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@pytest.fixture(scope="session", autouse=True)
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def _get_person_relations() -> Generator:
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data = [
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{
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"id_company": 1,
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"name_company": "0 10 24 Telefondienste GmbH",
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"relation_type": "GESCHAEFTSFUEHRER",
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"id_person": 1,
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"lastname": "Tetau",
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"firstname": "Nicolas",
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"date_of_birth": datetime.date(1971, 1, 2),
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},
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{
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"id_company": 1,
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"name_company": "0 10 24 Telefondienste GmbH",
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"relation_type": "PROKURIST",
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"id_person": 2,
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"lastname": "Dammast",
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"firstname": "Lutz",
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"date_of_birth": datetime.date(1966, 12, 6),
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},
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{
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"id_company": 2,
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"name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
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"relation_type": "KOMMANDITIST",
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"id_person": 3,
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"lastname": "Tutsch",
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"firstname": "Rosemarie",
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"date_of_birth": datetime.date(1941, 10, 9),
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},
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{
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"id_company": 2,
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"name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
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"relation_type": "HAFTENDER_GESELLSCHAFTER",
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"id_person": 4,
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"lastname": "Staiger",
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"firstname": "Marc",
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"date_of_birth": datetime.date(1969, 10, 22),
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},
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{
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"id_company": 2,
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"name_company": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
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"relation_type": "HAFTENDER_GESELLSCHAFTER",
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"id_person": 5,
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"lastname": "Staiger",
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"firstname": "Michaela",
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"date_of_birth": datetime.date(1971, 3, 3),
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},
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]
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with patch(
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"aki_prj23_transparenzregister.ui.pages.home.get_all_person_relations"
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) as mock_get_person_relations:
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mock_get_person_relations.return_value = pd.DataFrame(data)
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yield
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@pytest.fixture(scope="session", autouse=True)
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def _get_company_relations() -> Generator:
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data = [
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{
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"id_company_to": 2,
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"name_company_to": "1. Staiger Grundstücksverwaltung GmbH & Co. KG",
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"relation_type": "GESCHAEFTSFUEHRER",
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"name_company_from": "Staiger I. Verwaltung-GmbH",
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"id_company_from": 3226,
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},
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{
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"id_company_to": 3,
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"name_company_to": "1 A Autenrieth Kunststofftechnik GmbH & Co. KG",
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"relation_type": "GESCHAEFTSFUEHRER",
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"name_company_from": "Autenrieth Verwaltungs-GmbH",
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"id_company_from": 3324,
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},
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{
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"id_company_to": 5,
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"name_company_to": "2. Schaper Objekt GmbH & Co. Kiel KG",
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"relation_type": "KOMMANDITIST",
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"name_company_from": "Multi-Center Warenvertriebs GmbH",
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"id_company_from": 2213,
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},
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{
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"id_company_to": 6,
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"name_company_to": "AASP Filmproduktionsgesellschaft mbH & Co. Leonie KG",
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"relation_type": "INHABER",
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"name_company_from": "ABN AMRO Structured Products Gesellschaft für Fondsbeteiligungen mbH",
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"id_company_from": 3332,
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},
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{
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"id_company_to": 6,
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"name_company_to": "AASP Filmproduktionsgesellschaft mbH & Co. Leonie KG",
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"relation_type": "KOMMANDITIST",
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"name_company_from": "Kallang GmbH",
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"id_company_from": 3316,
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},
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]
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with patch(
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"aki_prj23_transparenzregister.ui.pages.home.get_all_company_relations"
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) as mock_get_person_relations:
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mock_get_person_relations.return_value = pd.DataFrame(data)
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yield
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def test_update_graph_data() -> None:
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graph_result, metrics_result, nodes_result, edges_result = home.update_graph_data(
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frozenset({"HAFTENDER_GESELLSCHAFTER"}), frozenset("GESCHAEFTSFUEHRER")
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)
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assert graph_result is not None
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@pytest.fixture()
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def _set_session(full_db: Session) -> Generator[None, None, None]:
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"""Sets a session for the dash application to be used."""
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SessionHandler.session = full_db
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yield
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SessionHandler.session = None
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@pytest.mark.usefixtures("_set_session")
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def test_layout() -> None:
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"""Checks if layout can be executed."""
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home.layout()
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@pytest.mark.usefixtures("_set_session")
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@pytest.mark.parametrize("empty", ["", None, {}])
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def test_redirect_empty(empty: Any) -> None:
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"""Tests the redirection on clicking on the plot with an empty argument."""
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assert home.redirect_from_home_graph(empty) == dash.no_update # type: ignore
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def test_redirect_content_without_db() -> None:
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"""Tests the error when no SQL session is defined."""
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with pytest.raises(ValueError, match="No SQL session defined."):
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assert home.redirect_from_home_graph({"empty": ""})
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@pytest.mark.usefixtures("_set_session")
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@pytest.mark.parametrize(
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("click_on", "redirect_to"),
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[
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(
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{"text": "Some Company GmbH"},
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"/unternehmensdetails/1",
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),
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({"text": "Max Mustermann"}, "/personendetails/1"),
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({"text": "I do not exist"}, dash.no_update),
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],
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)
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def test_redirect(click_on: dict, redirect_to: Any) -> None:
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"""Tests the redirection when clicking on a plot."""
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assert home.redirect_from_home_graph({"points": [click_on]}) == redirect_to
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