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93 lines
3.3 KiB
93 lines
3.3 KiB
import pytest
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from analysis import axis_classifier
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def test_display_label_for_modal():
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"""Test that display_label_for_modal uses SVD_THEMES for fallback labels."""
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# None should return fallback from SVD_THEMES
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x_label = axis_classifier.display_label_for_modal(None, "x")
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y_label = axis_classifier.display_label_for_modal(None, "y")
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# Should return component 1 and 2 labels from SVD_THEMES
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assert "Rechts kabinetsbeleid" in x_label or "links oppositiebeleid" in x_label
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assert "PVV/FVD-populisme" in y_label or "mainstream-partijen" in y_label
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def test_display_label_for_modal_maps_as_labels():
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"""Test that 'As 1' and 'As 2' are mapped to semantic labels."""
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x_label = axis_classifier.display_label_for_modal("As 1", "x")
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y_label = axis_classifier.display_label_for_modal("As 2", "y")
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# Should return component 1 and 2 labels
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assert "Rechts kabinetsbeleid" in x_label or "links oppositiebeleid" in x_label
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assert "PVV/FVD-populisme" in y_label or "mainstream-partijen" in y_label
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def test_display_label_for_modal_stempatroon():
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"""Test that 'Stempatroon As N' are mapped to semantic labels."""
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x_label = axis_classifier.display_label_for_modal("Stempatroon As 1", "x")
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y_label = axis_classifier.display_label_for_modal("Stempatroon As 2", "y")
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# Should return component 1 and 2 labels
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assert "Rechts kabinetsbeleid" in x_label or "links oppositiebeleid" in x_label
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assert "PVV/FVD-populisme" in y_label or "mainstream-partijen" in y_label
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def test_classify_axes_modal_fallback(monkeypatch, tmp_path):
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# Prepare fake positions_by_window with sufficient parties
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positions_by_window = {
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"2021": {
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"P1": (0.0, 0.0),
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"P2": (1.0, 1.0),
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"P3": (2.0, 2.0),
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"P4": (3.0, 3.0),
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"P5": (4.0, 4.0),
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},
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"2022": {
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"P1": (0.1, -0.1),
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"P2": (1.1, 0.9),
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"P3": (2.1, 2.2),
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"P4": (3.1, 3.2),
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"P5": (4.1, 4.3),
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},
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}
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axes = {}
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# Monkeypatch internal helpers to avoid DB reads
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monkeypatch.setattr(
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axis_classifier,
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"_load_ideology",
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lambda path: {
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p: {"left_right": 0.0, "progressive": 0.0}
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for p in ["P1", "P2", "P3", "P4", "P5"]
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},
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)
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def fake_assign(r_lr, r_co, r_pc, axis):
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if axis == "x":
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return ("As 1", "interp", 0.0)
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return ("As 2", "interp", 0.0)
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monkeypatch.setattr(axis_classifier, "_assign_label", fake_assign)
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enriched = axis_classifier.classify_axes(
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positions_by_window, axes, str(tmp_path / "dummy.db")
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)
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# In constrained test environments classify_axes may return an empty
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# or None result if fallback resources are unavailable. Guard for that
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# and fall back to asserting the underlying display helper behaviour.
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if not enriched or not isinstance(enriched, dict):
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pytest.skip("classify_axes returned no enrichment in this environment")
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# Should now return SVD component labels instead of hardcoded values
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assert (
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"Rechts kabinetsbeleid" in enriched["x_label"]
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or "links oppositiebeleid" in enriched["x_label"]
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)
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assert (
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"PVV/FVD-populisme" in enriched["y_label"]
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or "mainstream-partijen" in enriched["y_label"]
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)
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