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73 lines
2.3 KiB
73 lines
2.3 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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assert axis_classifier.display_label_for_modal("As 1", "x") == "Links\u2013Rechts"
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assert (
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axis_classifier.display_label_for_modal("Stempatroon As 1", "x")
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== "Links\u2013Rechts"
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)
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assert (
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axis_classifier.display_label_for_modal("As 2", "y")
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== "Conservatief\u2013Progressief"
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)
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assert (
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axis_classifier.display_label_for_modal("Stempatroon As 2", "y")
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== "Conservatief\u2013Progressief"
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)
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# None maps to conventional fallback
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assert axis_classifier.display_label_for_modal(None, "x") == "Links\u2013Rechts"
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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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assert enriched["x_label"] == "Links\u2013Rechts"
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assert enriched["y_label"] == "Progressief\u2013Conservatief"
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