Graham McIntire
daafa5a02a
Replace the two-script Python pipeline (analysis report + Elixir-source emitter) with a single `scripts/recalibrate.py` that fits per-band weights from PSKR spot density (VHF/UHF) and contacts↔HRRR correlations (microwave), writing `priv/algo/band_weights.json` as a machine-readable artifact. A new Elixir BandWeights module loads this JSON once via `:persistent_term` cache; BandConfig.weights/1 consults it before falling back to in-source overrides or global defaults. The script never touches Elixir source — recalibration is now `python3 scripts/recalibrate.py` followed by an app restart.
241 lines
5.2 KiB
JSON
241 lines
5.2 KiB
JSON
{
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"generated_at": "2026-05-25T19:44:49+00:00",
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"generated_by": "scripts/recalibrate.py",
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"schema_version": 1,
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"global_weights": {
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"wind": 0.0841,
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"pressure": 0.0967
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},
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"data_sources": {
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"pskr": {
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"bands": [
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50,
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10000
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],
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"total_samples": 411619
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},
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"contacts": {
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],
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}
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},
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"band_overrides": {
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},
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},
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},
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"weights": {
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},
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"source": "contacts"
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},
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},
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"n_samples": 1013,
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"source": "pskr"
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},
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"weights": {
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"rain": 0.0125,
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"pressure": 0.081
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},
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"n_samples": 1754,
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"source": "contacts"
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},
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"source": "contacts"
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},
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"weights": {
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},
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},
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},
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},
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"source": "contacts"
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},
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},
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"source": "contacts"
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},
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"source": "contacts"
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}
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}
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}
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