Commit Graph
53 Commits
Author SHA1 Message Date
sgeboers f7d806dc3a fix(analysis): add Procrustes alignment and normalize vectors for drift computation
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
2026-03-21 23:37:20 +01:00
sgeboers aa2f66ac9f feat(analysis): fetch real MP metadata, fix anchor axis for party-level actors
- fetch_mp_metadata: use real OData URL with pagination (1200 records, 5 pages)
  uses Fractie.Afkorting not NaamNL for abbreviation matching
  skips Verwijderd=true records
- upsert_mp_metadata: keep most recent membership (prefer active over ended,
  then higher Van date) so current party affiliations are not overwritten by historical
- compute_anchor_axis: anchor directly on party-level SVD entities (GroenLinks-PvdA etc)
  before falling back to mp_metadata individual MP lookup
- test_fetch_mp_metadata: fix mock for timeout kwarg + pagination + Afkorting field
- Generated anchor axis HTML for 2025-Q2 through 2026-Q1 in outputs/
2026-03-21 23:33:47 +01:00
sgeboers f2a831dfcf feat(pipeline): add orchestrator CLI, analysis modules, and ActorFractie ingestion
- pipeline/run_pipeline.py: CLI orchestrator for all 5 pipeline phases with
  --dry-run, --skip-*, --window-size, --svd-k, --start/end-date flags
- analysis/{political_axis,trajectory,clustering,visualize}.py: PCA/anchor
  ideological axis, MP drift trajectories, UMAP + KMeans clustering, Plotly HTML output
- api_client.py: capture ActorFractie per individual MP vote (comma in ActorNaam)
  into mp_vote_parties dict on each motion
- database.insert_motion: auto-insert mp_votes rows with party affiliation for
  newly ingested motions when mp_vote_parties is present
- Add scikit-learn to pyproject.toml for KMeans clustering
- tests/test_run_pipeline.py: window generation, dry-run, skip-all paths
- tests/test_analysis.py: PCA axis, anchor axis, trajectory drift, KMeans

Ref: thoughts/shared/plans/2026-03-21-parliamentary-embedding-pipeline-plan.md
2026-03-21 22:40:28 +01:00