- Generate lan-client/precons.js from precon-decks/precon-index.json so
PRECON_DATA is always available for local/offline mode (163 precons)
- Add scripts/generate-precons-js.js for regeneration when precons update
- Fix _loadBackendPrecons() to re-render the precon tab UI when backend
precons load successfully (was only updating status indicator text,
not populating the dropdown)
Without precons.js, PRECON_DATA was undefined and the dropdown showed
'No precon data loaded' even though 163 .dck files exist in the repo.
- ml/eval/forge_evaluator.py: reusable eval harness wrapping
MultiThreadBatchRunner + PolicyInferenceService; collects win rate,
avg turns, life differential, commander damage, illegal action rate,
policy entropy per game; writes results/eval-{run_id}.json
- scripts/eval_policy.py: CLI to run N Forge eval games with any
checkpoint vs forge-builtin or policy-server opponent; supports
--threads, --clock, --seed, --greedy, --temperature
- scripts/compare_eval.py: loads two result JSONs, computes absolute
win-rate delta + 95% CI, runs Fisher's exact test for significance,
prints formatted comparison table and pass/fail verdict
Script to run sequential batch sims across 10 precon decks with
rotating playstyles (midrange, aggro, control, combo). Generates
ML decision data for training.
- 210 unique 4-player matchups from 10 precon decks
- Cycles through playstyles each batch
- Polls for completion, handles errors gracefully
- Ensures ML logging is enabled before starting
- Prints summary with new decision count at end
Usage: python scripts/overnight-batch.py --hours 8
- Replace SELECT * + Python-side color loop in _get_collection_for_colors()
with projected SELECT + NOT EXISTS json_each() sub-query
- Apply same pattern to _build_collection_summary(), removing card_fits_identity()
- Add partial index idx_ce_quantity on collection_entries(quantity) WHERE qty > 0
- Handle NULL and empty-string color_identity via CASE guard
- Fix colorless commander bug: old code skipped color check entirely for []
- Add scripts/bench_deckgen.py benchmark (3-5x speedup on filtered queries)
- Add tests/test_deckgen_color_filter.py with 7 regression tests
KoalaTrapLord