Hello
', encoding='utf-8') content = reports.load_html_from_file(str(sample_file)) assert content == 'Hello
' def test_load_html_from_file_missing_file(capsys): result = reports.load_html_from_file('non-existent.html') captured = capsys.readouterr() assert result is None assert 'File not found: non-existent.html' in captured.out def test_load_html_from_file_os_error(monkeypatch, capsys): def fake_open(*_args, **_kwargs): raise OSError('boom') monkeypatch.setattr('builtins.open', fake_open) result = reports.load_html_from_file('path.html') captured = capsys.readouterr() assert result is None assert 'Error reading file: boom' in captured.out def test_inject_content_replaces_section(): main_html = "ignored
') captured = capsys.readouterr() assert "Section with id 'missing' not found" in captured.out soup = BeautifulSoup(result, 'html.parser') assert soup.find(id='other') is not None def test_reports_init_sets_defaults(stub_color_options): report = reports.Reports(reference_data='ref', current_data='cur') assert report.metrics == [] assert isinstance(report.options, list) and len(report.options) == 1 assert report.sections == {} assert report.base_path is None def test_add_data_quality_section_without_run(monkeypatch, stub_color_options): monkeypatch.setattr(reports, 'DatasetSummaryMetric', lambda: 'summary') monkeypatch.setattr( reports, 'generate_column_metrics', lambda *args, **kwargs: ('columns', kwargs), ) monkeypatch.setattr(reports, 'ConflictTargetMetric', lambda: 'conflict') monkeypatch.setattr(reports, 'DatasetCorrelationsMetric', lambda: 'correlations') report = reports.Reports(reference_data='ref', current_data='cur') report.add_data_quality_section(columns=['col'], run=False) assert report.metrics[-4:] == [ 'summary', ('columns', {'columns': ['col'], 'skip_id_column': True}), 'conflict', 'correlations', ] assert 'data_quality' not in report.sections def test_add_data_quality_section_with_run(monkeypatch, tmp_path, stub_color_options): summary = object() column_metrics = object() conflict = object() correlations = object() monkeypatch.setattr(reports, 'DatasetSummaryMetric', lambda: summary) def fake_generate_column_metrics(*_args, **kwargs): return column_metrics monkeypatch.setattr(reports, 'generate_column_metrics', fake_generate_column_metrics) monkeypatch.setattr(reports, 'ConflictTargetMetric', lambda: conflict) monkeypatch.setattr(reports, 'DatasetCorrelationsMetric', lambda: correlations) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'data_quality'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(tmp_path)) report.add_data_quality_section(columns=['c1'], run=True) assert report.metrics[-4:] == [summary, column_metrics, conflict, correlations] assert report.sections['data_quality'] == {'result': 'data_quality'} ReportMock.assert_called_once_with( metrics=[summary, column_metrics, conflict, correlations], options=report.options ) report_instance.run.assert_called_once_with(reference_data='ref', current_data='cur') report_instance.save_html.assert_called_once_with( os.path.join(str(tmp_path), 'data_quality.html') ) def test_add_data_quality_section_run_without_base_path(monkeypatch, stub_color_options): summary = object() column_metrics = object() conflict = object() correlations = object() monkeypatch.setattr(reports, 'DatasetSummaryMetric', lambda: summary) monkeypatch.setattr( reports, 'generate_column_metrics', lambda *args, **kwargs: column_metrics, ) monkeypatch.setattr(reports, 'ConflictTargetMetric', lambda: conflict) monkeypatch.setattr(reports, 'DatasetCorrelationsMetric', lambda: correlations) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'quality'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur') report.add_data_quality_section(run=True) assert report.sections['data_quality'] == {'result': 'quality'} report_instance.save_html.assert_not_called() def test_add_data_drift_section_paths(monkeypatch, tmp_path, stub_color_options): drift_instances = [object(), object(), object()] DataDriftPresetMock = MagicMock(side_effect=drift_instances) monkeypatch.setattr(reports, 'DataDriftPreset', DataDriftPresetMock) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'data_drift'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(tmp_path)) report.add_data_drift_section(columns=['c1'], run=False) assert report.metrics[-1] == drift_instances[0] assert 'data_drift' not in report.sections report.add_data_drift_section(columns=['c1'], run=True) assert report.sections['data_drift'] == {'result': 'data_drift'} ReportMock.assert_called_with(metrics=[drift_instances[2]], options=report.options) report_instance.run.assert_called_with(reference_data='ref', current_data='cur') report_instance.save_html.assert_called_with(os.path.join(str(tmp_path), 'data_drift.html')) def test_add_data_drift_section_run_without_base_path(monkeypatch, stub_color_options): drift_instances = [object(), object(), object()] DataDriftPresetMock = MagicMock(side_effect=drift_instances) monkeypatch.setattr(reports, 'DataDriftPreset', DataDriftPresetMock) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'drift'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur') report.add_data_drift_section(run=True) assert report.sections['data_drift'] == {'result': 'drift'} report_instance.save_html.assert_not_called() def test_add_regression_section(monkeypatch, tmp_path, stub_color_options): regression_metrics = [object() for _ in range(7)] monkeypatch.setattr(reports, 'RegressionPerformanceMetrics', lambda: regression_metrics[0]) monkeypatch.setattr(reports, 'RegressionDummyMetric', lambda: regression_metrics[1]) monkeypatch.setattr( reports, 'RegressionPredictedVsActualScatter', lambda: regression_metrics[2] ) monkeypatch.setattr(reports, 'RegressionPredictedVsActualPlot', lambda: regression_metrics[3]) monkeypatch.setattr(reports, 'RegressionErrorPlot', lambda: regression_metrics[4]) monkeypatch.setattr(reports, 'RegressionAbsPercentageErrorPlot', lambda: regression_metrics[5]) monkeypatch.setattr(reports, 'RegressionErrorDistribution', lambda: regression_metrics[6]) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'regression'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(tmp_path)) report.add_regression_section(run=False) assert report.metrics[-7:] == regression_metrics assert 'regression' not in report.sections report.add_regression_section(run=True) assert report.sections['regression'] == {'result': 'regression'} ReportMock.assert_called_with(metrics=regression_metrics, options=report.options) report_instance.run.assert_called_with(reference_data='ref', current_data='cur') report_instance.save_html.assert_called_with(os.path.join(str(tmp_path), 'regression.html')) def test_add_regression_section_run_without_base_path(monkeypatch, stub_color_options): regression_metrics = [object() for _ in range(7)] monkeypatch.setattr(reports, 'RegressionPerformanceMetrics', lambda: regression_metrics[0]) monkeypatch.setattr(reports, 'RegressionDummyMetric', lambda: regression_metrics[1]) monkeypatch.setattr( reports, 'RegressionPredictedVsActualScatter', lambda: regression_metrics[2] ) monkeypatch.setattr(reports, 'RegressionPredictedVsActualPlot', lambda: regression_metrics[3]) monkeypatch.setattr(reports, 'RegressionErrorPlot', lambda: regression_metrics[4]) monkeypatch.setattr(reports, 'RegressionAbsPercentageErrorPlot', lambda: regression_metrics[5]) monkeypatch.setattr(reports, 'RegressionErrorDistribution', lambda: regression_metrics[6]) report_instance = MagicMock() report_instance.as_dict.return_value = {'result': 'reg'} ReportMock = MagicMock(return_value=report_instance) monkeypatch.setattr(reports, 'Report', ReportMock) report = reports.Reports(reference_data='ref', current_data='cur') report.add_regression_section(run=True) assert report.sections['regression'] == {'result': 'reg'} report_instance.save_html.assert_not_called() def test_set_color_options_appends(monkeypatch): calls = [] def color_options_mock(**kwargs): calls.append(kwargs) return kwargs monkeypatch.setattr(reports, 'ColorOptions', color_options_mock) report = reports.Reports(reference_data='ref', current_data='cur') report.set_color_options(primary_color='#111', secondary_color='#222') assert len(report.options) == 2 assert calls[0]['primary_color'] == '#0F4C81' assert calls[1]['primary_color'] == '#111' assert report.options[1]['secondary_color'] == '#222' def test_save_all_sections_html_requires_base_path(stub_color_options): report = reports.Reports(reference_data='ref', current_data='cur') with pytest.raises(ValueError): report.save_all_sections_html('output/report.html') def test_save_all_sections_html_writes_output(tmp_path, stub_color_options): base_dir = tmp_path / 'templates' base_dir.mkdir() (base_dir / 'header.html').write_text( "", encoding='utf-8', ) (base_dir / 'data_drift.html').write_text('Drift
', encoding='utf-8') (base_dir / 'data_quality.html').write_text('Quality
', encoding='utf-8') (base_dir / 'regression.html').write_text('Regression
', encoding='utf-8') report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(base_dir)) output_path = tmp_path / 'reports' / 'combined.html' report.save_all_sections_html(str(output_path)) assert output_path.exists() content = output_path.read_text(encoding='utf-8') assert 'Drift
' in content assert 'Quality
' in content assert 'Regression
' in content def test_save_all_sections_html_creates_directory(monkeypatch, tmp_path, stub_color_options): base_dir = tmp_path / 'templates' base_dir.mkdir() (base_dir / 'header.html').write_text( "", encoding='utf-8', ) (base_dir / 'data_drift.html').write_text('Drift
', encoding='utf-8') (base_dir / 'data_quality.html').write_text('Quality
', encoding='utf-8') (base_dir / 'regression.html').write_text('Regression
', encoding='utf-8') make_dirs_called = [] report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(base_dir)) output_path = tmp_path / 'nested' / 'report.html' output_dir = str(output_path.parent) original_exists = os.path.exists original_makedirs = os.makedirs def fake_exists(path): if path == output_dir: return False return original_exists(path) def fake_makedirs(path, exist_ok=False): make_dirs_called.append((path, exist_ok)) return original_makedirs(path, exist_ok=exist_ok) monkeypatch.setattr(os.path, 'exists', fake_exists) monkeypatch.setattr(os, 'makedirs', fake_makedirs) report.save_all_sections_html(str(output_path)) assert make_dirs_called == [(str(output_path.parent), True)] def test_save_all_sections_html_no_directory_needed(monkeypatch, tmp_path, stub_color_options): base_dir = tmp_path / 'templates' base_dir.mkdir() (base_dir / 'header.html').write_text( "", encoding='utf-8', ) (base_dir / 'data_drift.html').write_text('Drift
', encoding='utf-8') (base_dir / 'data_quality.html').write_text('Quality
', encoding='utf-8') (base_dir / 'regression.html').write_text('Regression
', encoding='utf-8') mk_calls = [] def fake_makedirs(path, exist_ok=False): mk_calls.append((path, exist_ok)) monkeypatch.setattr(os, 'makedirs', fake_makedirs) monkeypatch.chdir(tmp_path) report = reports.Reports(reference_data='ref', current_data='cur', base_path=str(base_dir)) report.save_all_sections_html('report.html') assert mk_calls == [] assert (tmp_path / 'report.html').exists()