- Add ChristenUnie colour alias and CURRENT_PARLIAMENT_PARTIES frozenset (15 parties)
- Add load_party_axis_scores() — queries party SVD vectors from window=2025, cached
- Add _render_party_axis_chart() — 1D Plotly scatter of party positions per axis
- Restructure build_svd_components_tab: replace session-state button/detail-pane with
inline st.expander per motion, split into pos/neg pole columns, batch DB query for
all 10 motions including voting_results, rendered via _render_voting_results
Smoke-tested: 15 parties loaded, all 10 axis-1 motions returned with voting data.
Replace draft SVD_THEMES with themes produced by per-axis analysis of all
10 unique top motions (zero cross-axis overlap, window=2025). Each axis now
has a detailed Dutch-language explanation, positive_pole and negative_pole
labels, displayed as colour-coded columns in the UI.
Deduplication:
- Identified 18 motion pairs with identical body_text and externe_identifier
- Kept the lower ID (first inserted) from each pair
- Cascaded deletes: 18 motions, 18 embeddings, 28 svd_vectors, 23 fused_embeddings
- motions table: 28172 → 28154, zero body_text duplicate groups remaining
SVD analysis:
- Regenerated top_svd_top_motions.json for window=2025 with clean data
(7424 vectors, down from 7430)
- 100 unique motions across 10 axes, no title or ID duplicates
- De Vos huiseigenaren motie no longer appears twice in axis 3
- Regenerated top_svd_top_motions.json for window=2025 with strict
cross-axis deduplication: 100 unique motions across 10 axes (10 per
axis, zero overlap), sorted by absolute SVD score
- Added SVD_THEMES dict to build_svd_components_tab with Dutch-language
theme label and political-polarisation explanation for each of the 10
axes (e.g. 'Confessioneel-conservatief vs. seculier-progressief')
- Selectbox now shows 'As N — <theme>' instead of bare component number
- Each selected axis shows an info banner with the full explanation
- Motion list buttons show ▲/▼ to indicate positive/negative SVD loading
- Translated UI strings to Dutch for consistency
Root causes:
- Seed selection sorted by controversy_score across all 28k motions, but
only 282 have individual MP vote records. Top controversial motions only
have party-level votes, so match_mps_for_votes always returned empty.
- global_db singleton was used for match/discriminate instead of the db_path
passed to the tab builder.
Fixes:
- Add MotionDatabase.get_motions_with_individual_votes(k) which queries
motions with comma-formatted mp_name votes, ordered by controversy_score
- Replace broken seed logic in build_mp_quiz_tab with this new method
- Replace global_db usages with a local MotionDatabase(db_path) instance
- Guard against motion IDs present in votes but absent from motions DataFrame
SVD sign/rotation is arbitrary per window. Without alignment, drift was
dominated by basis flips (~1.9/step max=2.0) rather than real political movement.
- _procrustes_align_windows(): aligns each window to the previous using
orthogonal Procrustes on common entities (scipy, falls back gracefully)
- compute_trajectories(): builds aligned window dict before per-MP drift calc,
adds normalize=True (L2-normalise) to remove cross-window magnitude differences
caused by varying numbers of motions per quarter
- Results now in sensible range: NSC=2.28, DENK=1.90, ... PVV=0.82, FVD=0.70
- NSC large late jump (1.39 in Q4→Q1 2026) matches its parliamentary fracture
- Add outputs/trajectories_party_aligned.html with cleaned-up drift chart
