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Phase 2a of docs/RUST_REWRITE.md. rust/forecast (ping-forecast) ports the serving half of src/ml: the HII mirror gap fill, the hourly grid, every feature (pandas' Kahan rolling sums included), the Mae Ngat dam frame, HistGradientBoosting tree inference, the heuristic fallback, stale-threshold handling and the P.1 flood-stage probabilities. Hand-over from Python (src/ml/export.py): - models/flood_<station>.json.gz next to each joblib bundle; train_all() writes it, retrain.sh promotes it, `python -m src.ml.export` exports existing ones. - rust/forecast/flood_config.json: thresholds, stages, leads and notify constants, compiled in. tests/test_model_export.py fails while it differs from the Python source. Parity (rust/forecast/tests/parity.rs, fixtures from testdata/gen_forecast_fixtures.py on the production code path): four scenarios incl. the 2024 flood with RID lagging behind HII. Merged readings, all features and all levels identical; with all 15 local models 377/384 probabilities bit-identical, the rest within 2 ulp (exp). Python refactor without behaviour change: predict.forecasts_from_long, and get_latest_forecasts/load_latest/serving_frame take now/rain for reproducible comparisons; the HII query orders its rows.
349 lines
3.7 KiB
JSON
349 lines
3.7 KiB
JSON
{
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"thresholds": {
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"*": [
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3.0,
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4.5
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],
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"P.1": [
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3.7,
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4.2
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],
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"P.103": [
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5.95,
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6.75
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],
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2.35,
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2.8
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"P.21": [
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3.2,
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3.6
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],
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"P.4A": [
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3.4,
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3.9
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"P.5": [
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4.55,
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4.95
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],
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"P.67": [
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2.45,
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2.9
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"P.75": [
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3.2,
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3.65
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"P.76": [
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5.35,
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5.45
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],
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"P.77": [
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4.3,
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4.9
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],
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"P.81": [
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5.15,
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6.3
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],
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"P.82": [
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3.4,
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3.75
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],
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"P.84": [
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3.45,
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3.9
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],
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"P.85": [
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2.9,
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3.35
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],
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"P.87": [
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3.75,
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4.05
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],
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"P.92": [
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2.95,
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3.6
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]
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},
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"flood_stages": {
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"P.1": [
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{
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"stage": 1,
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"level": 3.7,
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"discharge_cms": 405.0
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},
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{
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"stage": 2,
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"level": 3.9,
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"discharge_cms": 438.0
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},
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{
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"stage": 3,
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"level": 4.0,
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"discharge_cms": 458.0
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},
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{
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"stage": 4,
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"level": 4.1,
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"discharge_cms": 478.0
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},
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{
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"stage": 5,
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"level": 4.2,
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"discharge_cms": 493.0
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},
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{
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"stage": 6,
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"level": 4.3,
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"discharge_cms": 508.0
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},
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{
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"stage": 7,
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"level": 4.6,
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"discharge_cms": 558.0
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}
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]
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},
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"upstream_leads": {
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[
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"P.103",
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1
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[
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"P.67",
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[
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"P.21",
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9
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],
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[
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"P.75",
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12
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],
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[
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"P.4A",
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12
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],
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[
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"P.92",
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15
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],
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[
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"P.20",
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17
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]
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],
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"P.103": [
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[
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"P.67",
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"P.21",
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8
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[
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"P.75",
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11
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[
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"P.4A",
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11
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[
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"P.92",
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14
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[
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"P.20",
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16
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]
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"P.21": [
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[
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"P.67",
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1
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[
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"P.75",
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3
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],
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[
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"P.4A",
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3
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[
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"P.92",
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6
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"P.20",
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8
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"P.67": [
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[
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"P.75",
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5
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[
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"P.4A",
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5
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[
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"P.92",
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8
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[
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"P.20",
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10
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[
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"P.92",
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3
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"P.20",
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5
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"P.92",
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"P.20",
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5
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]
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"P.92": [
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[
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"P.20",
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2
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],
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"P.20": [],
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"P.5": [
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[
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"P.1",
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12
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[
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"P.103",
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13
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]
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],
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"P.81": [
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[
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"P.1",
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4
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[
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"P.103",
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5
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]
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],
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"P.82": [],
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"P.84": [],
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"P.87": [],
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"P.77": [],
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"P.85": [],
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"P.76": []
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},
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"dam_stations": [
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"P.1",
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"P.103",
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"P.21",
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"P.5",
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"P.67",
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"P.81"
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],
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"monsoon_months": [
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6,
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7,
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8,
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9,
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10
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],
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"ffill_limit_h": 3,
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"basin_anchor": "P.1",
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"forward_rain_h": 24,
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"horizons": [
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6,
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12,
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24
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],
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"stale_after_h": 6.0,
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"heuristic_sigma": 0.3,
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"heuristic_version": "heuristic-v1",
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"latest_window_h": 336,
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"hii_fill_stations": [
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"P.1",
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"P.103",
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"P.20",
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"P.4A",
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"P.67",
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"P.75",
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"P.82",
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"P.84",
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"P.92",
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"P.81"
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],
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"hii_exact_mirrors": [
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"P.1",
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"P.103",
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"P.20",
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"P.4A",
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"P.67",
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"P.75",
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"P.82",
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"P.84",
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"P.92"
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],
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"hii_min_overlap_hours": 168,
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"dam": {
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"dam_id": "200103",
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"report_hour": 7,
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"ffill_limit_h": 48,
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"serving_days": 21
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},
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"notify": {
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"clear_margin_m": 0.1,
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"capacity_guard_min_pct": 60.0,
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"capacity_guard_exempt": [
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"P.1"
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],
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"outlook_on": 0.5,
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"outlook_off": 0.25,
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"outlook_horizon": 24,
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"feed_stale_after_h": 3.0,
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"station_names": {
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"P.1": "Nawarat Bridge, Chiang Mai city",
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"P.103": "Ring Road Bridge 3, Chiang Mai",
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"P.67": "Ban Tae (Mae Taeng)",
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"P.21": "Ban Rim Tai (Mae Rim)",
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"P.75": "Ban Chai Lat",
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"P.92": "Ban Muang Aut",
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"P.20": "Ban Chiang Dao",
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"P.4A": "Ban Mae Taeng",
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"P.5": "Tha Nang Bridge (downstream)",
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"P.81": "Ban Pong (downstream)",
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"P.82": "Ban Sob Win",
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"P.84": "Ban Panton",
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"P.87": "Ban Pa Sang",
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"P.77": "Ban Sop Mae Sapuat",
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"P.85": "Ban Lai Kaew",
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"P.76": "Ban Mae I Hai"
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}
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}
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}
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