 Sven Geboers
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daa22c5e2b
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feat: complete parliamentary embedding pipeline with full historical coverage
- Add fused (SVD + text) embedding pipeline for annual windows 2016-2026
- Fix store_fused_embedding duplicate bug: DELETE before INSERT (idempotent)
- Add --text-batch-size CLI flag to run_pipeline.py (default 200)
- Add explicit --start-date/--end-date to download_past_year.py
- Backfill mp_votes for all motions (party-level votes, 111k new rows)
- Add similarity cache recompute: 212k rows across 9 annual windows
- Improve ai_provider retry logic, text_pipeline batching
- Improve analysis/political_axis PCA handling and visualizations
- Add diagnostic/utility scripts: compare_svd, generate_compass, inspect_axis, etc.
- Untrack data/motions.db (3.6GB binary), add to .gitignore with outputs/
- Update continuity ledger with full session state
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3 months ago |
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Sven Geboers
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847b783877
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fix(pipeline): fix API pagination, add skip_details fast path, bulk mp_votes insert
- _get_voting_records returns (records, besluit_meta) tuple; paginate via Besluit?expand=Stemming (469/mo vs 8400)
- get_motions(skip_details=True) bypasses per-motion detail chain (3 HTTP calls/motion)
- extract_mp_votes rewritten: bulk DataFrame insert (80k rows in 1.9s), includes party-level actors
- run_pipeline.py fixed: pass db_path not db, handle dict/int return types
- download_past_year.py: skip_details=True default, limit-per-chunk default 50000
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3 months ago |
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Sven Geboers
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f2a831dfcf
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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
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3 months ago |
