The Test Suite job failed on every push since the black check was added
because the tree had never been formatted, and pre-commit said 120
columns while CI ran black's default 88. pyproject.toml now carries
[tool.black] / [tool.isort] (88, black profile) as the single source;
pre-commit reads it; `make format` applied it (13 files, whitespace only,
146 insertions / 128 deletions, tests unchanged at 146 passed).
ci.yml: lint (black, isort, flake8 hard errors) + pytest. The Docker
registry push, VictoriaMetrics integration test, staging/production
deploy and Apache-Bench jobs were template scaffolding for hosts and
registries that do not exist; production is a systemd unit updated by
git pull. Removed rather than left permanently skipped.
docs.yml: the "Check markdown links" step curl'd every URL in every .md
and failed on localhost examples and the Tailscale IP, and the Sphinx
jobs built artifacts nobody read. Replaced by two checks that mean
something: relative links/images in README, CONTRIBUTING and docs/
resolve inside the repo, and the FastAPI OpenAPI schema exports with
the documented endpoints present (uploaded as an artifact).
Rolling-origin harness gains rise_rain_quantile, rise_rain_quantile_uw,
rise_rain_qsigma (L2 point + quantile sigma) and rise_rain_fc48, all
opt-in, plus --from-cache for reproducible offline reruns. Results in
models/eval_2026-09-12*.json, write-up in docs/FLOOD_FORECASTING.md:
- quantile point prediction: better MAE, worse first-alert lead at 5 of
11 events (P.103 2022-08-14 +6h -> +1h) -> rejected
- quantile sigma only: Brier within noise (0.0031 -> 0.0029) -> not worth 3x heads
- rain_fc48: neutral everywhere except 2024-10-03 P.1 (+21h -> +72h), n=1
-> deferred to after the 2026 season
src/ml/hii_rain.py: catchment-mean hourly rain from the ~130 HII gauges in
the upper-Ping box and a 24h-sum comparison against Open-Meteo. Not a
training feature (table exists only since 2026-08-11, no archive); exposed
at GET /api/hii/rainfall/catchment so the two sources' agreement is on
record by the time a fold can test it.
data._read_cache now skips non-station files in models/cache/ (the shared
dir also holds rain_openmeteo / dam_* caches, which crashed the reader).
scripts/summarize_eval.py prints per-variant lead/peak-error tables.
grabowski