refactor: use svd_labels for fallback labels in explorer and axis_classifier (Task 4)

analysis/axis_classifier.py

@@ -13,7 +13,7 @@ import numpy as np
 import re
 import json
 
-from analysis.svd_labels import get_svd_label
+from analysis.svd_labels import get_svd_label, get_fallback_labels
 
 _logger = logging.getLogger(__name__)
 
@@ -44,16 +44,21 @@ _LABELS = {
 def display_label_for_modal(modal_label: Optional[str], axis: str) -> str:
     """Return a user-facing axis label for a modal/internal label.
 
-    Keeps existing behavior: map numeric fallback names 'As 1' / 'Stempatroon As 1'
-    to the conventional semantic defaults used in the UI. Any other label is
-    returned unchanged; None is treated as the semantic fallback for the axis.
+    Maps numeric fallback names 'As 1' / 'Stempatroon As 1' to the
+    semantic labels from SVD_THEMES. Any other label is returned unchanged.
+    None is treated as the semantic fallback for the axis.
     """
     if modal_label is None:
-        return "Links\u2013Rechts" if axis == "x" else "Progressief\u2013Conservatief"
+        # Fallback to component 1 (x) or 2 (y)
+        comp = 1 if axis == "x" else 2
+        return get_svd_label(comp)
+
+    # Map "As 1" / "As 2" to semantic labels
     if axis == "x" and modal_label in ("As 1", "Stempatroon As 1"):
-        return "Links\u2013Rechts"
+        return get_svd_label(1)
     if axis == "y" and modal_label in ("As 2", "Stempatroon As 2"):
-        return "Progressief\u2013Conservatief"
+        return get_svd_label(2)
+
     return modal_label
 
 
@@ -430,7 +435,8 @@ def _assign_label(
     Returns (label, interpretation_string, quality_score).
     """
     orientation = "horizontale" if axis == "x" else "verticale"
-    fallback_label = _LABELS["fallback_x"] if axis == "x" else _LABELS["fallback_y"]
+    _x_fallback, _y_fallback = get_fallback_labels()
+    fallback_label = _x_fallback if axis == "x" else _y_fallback
     quality = max(abs(r_lr), abs(r_co), abs(r_pc))
 
     if abs(r_lr) >= _THRESHOLD:
@@ -608,13 +614,14 @@ def classify_axes(
 
         # ── Final label resolution ────────────────────────────────────────────
         # If both motion and ideology paths produced nothing, use generic fallback.
+        _x_fallback, _y_fallback = get_fallback_labels()
         if x_lbl is None:
-            x_lbl = _LABELS["fallback_x"]
+            x_lbl = _x_fallback
             x_int = _INTERPRETATION_TEMPLATES["fallback"].format(
                 orientation="horizontale"
             )
         if y_lbl is None:
-            y_lbl = _LABELS["fallback_y"]
+            y_lbl = _y_fallback
             y_int = _INTERPRETATION_TEMPLATES["fallback"].format(
                 orientation="verticale"
             )

explorer.py

@@ -1612,15 +1612,18 @@ def build_compass_tab(db_path: str, window_size: str) -> None:
     # Use the classifier helper to map internal/modal labels (e.g. "As 1") to
     # user-facing labels. Import at function-time to avoid module import cycles
     # and keep explorer lightweight. If the helper is unavailable fall back to
-    # conventional semantic defaults so the UI remains readable.
+    # labels from the unified svd_labels module.
     try:
         from analysis.axis_classifier import display_label_for_modal
 
         _x_label = display_label_for_modal(_raw_x, "x")
         _y_label = display_label_for_modal(_raw_y, "y")
     except Exception:
-        _x_label = _raw_x or "EU-integratie–Nationalisme"
-        _y_label = _raw_y or "Populistisch–Institutioneel"
+        from analysis.svd_labels import get_fallback_labels
+
+        _x_fallback, _y_fallback = get_fallback_labels()
+        _x_label = _raw_x or _x_fallback
+        _y_label = _raw_y or _y_fallback
 
     if level == "Partijen":
         # Aggregate to party centroids

tests/test_axis_label_fallback.py

@@ -4,21 +4,34 @@ from analysis import axis_classifier
 
 
 def test_display_label_for_modal():
-    assert axis_classifier.display_label_for_modal("As 1", "x") == "Links\u2013Rechts"
-    assert (
-        axis_classifier.display_label_for_modal("Stempatroon As 1", "x")
-        == "Links\u2013Rechts"
-    )
-    assert (
-        axis_classifier.display_label_for_modal("As 2", "y")
-        == "Conservatief\u2013Progressief"
-    )
-    assert (
-        axis_classifier.display_label_for_modal("Stempatroon As 2", "y")
-        == "Conservatief\u2013Progressief"
-    )
-    # None maps to conventional fallback
-    assert axis_classifier.display_label_for_modal(None, "x") == "Links\u2013Rechts"
+    """Test that display_label_for_modal uses SVD_THEMES for fallback labels."""
+    # None should return fallback from SVD_THEMES
+    x_label = axis_classifier.display_label_for_modal(None, "x")
+    y_label = axis_classifier.display_label_for_modal(None, "y")
+
+    # Should return component 1 and 2 labels from SVD_THEMES
+    assert "EU-integratie" in x_label or "Nationalisme" in x_label
+    assert "Populistisch" in y_label or "Institutioneel" in y_label
+
+
+def test_display_label_for_modal_maps_as_labels():
+    """Test that 'As 1' and 'As 2' are mapped to semantic labels."""
+    x_label = axis_classifier.display_label_for_modal("As 1", "x")
+    y_label = axis_classifier.display_label_for_modal("As 2", "y")
+
+    # Should return component 1 and 2 labels
+    assert "EU-integratie" in x_label or "Nationalisme" in x_label
+    assert "Populistisch" in y_label or "Institutioneel" in y_label
+
+
+def test_display_label_for_modal_stempatroon():
+    """Test that 'Stempatroon As N' are mapped to semantic labels."""
+    x_label = axis_classifier.display_label_for_modal("Stempatroon As 1", "x")
+    y_label = axis_classifier.display_label_for_modal("Stempatroon As 2", "y")
+
+    # Should return component 1 and 2 labels
+    assert "EU-integratie" in x_label or "Nationalisme" in x_label
+    assert "Populistisch" in y_label or "Institutioneel" in y_label
 
 
 def test_classify_axes_modal_fallback(monkeypatch, tmp_path):
@@ -69,5 +82,10 @@ def test_classify_axes_modal_fallback(monkeypatch, tmp_path):
     if not enriched or not isinstance(enriched, dict):
         pytest.skip("classify_axes returned no enrichment in this environment")
 
-    assert enriched["x_label"] == "Links\u2013Rechts"
-    assert enriched["y_label"] == "Progressief\u2013Conservatief"
+    # Should now return SVD component labels instead of hardcoded values
+    assert (
+        "EU-integratie" in enriched["x_label"] or "Nationalisme" in enriched["x_label"]
+    )
+    assert (
+        "Populistisch" in enriched["y_label"] or "Institutioneel" in enriched["y_label"]
+    )