added gap validation.

gap_validation/batch_temporal.py

@@ -0,0 +1,56 @@
+"""Run full-season gap-degraded NSE_PC for all thesis sites (best BtI scenario)."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+from gap_validation.batch_spatial import (
+    PRIMARY_SEASON,
+    _best_bti_from_metrics,
+    _parse_scenario,
+    _site_positions,
+)
+from gap_validation.temporal_pc import run_temporal_pc
+
+
+def main() -> None:
+    ap = argparse.ArgumentParser(description="Batch temporal gap NSE_PC (six sites).")
+    ap.add_argument("--data-dir", type=Path, default=Path("data"))
+    ap.add_argument("--sites-geojson", type=Path, default=Path("data/sites.geojson"))
+    ap.add_argument("--skip-fusion", action="store_true")
+    ap.add_argument("--gap-days", type=int, action="append")
+    args = ap.parse_args()
+    positions = _site_positions(args.sites_geojson)
+
+    for site, season in sorted(PRIMARY_SEASON.items()):
+        pos = positions.get(site)
+        if not pos:
+            print(f"[skip] No coordinates for {site}")
+            continue
+        metrics_path = args.data_dir / site / str(season) / "metrics.json"
+        scenario_key = _best_bti_from_metrics(metrics_path)
+        if not scenario_key:
+            print(f"[skip] {site} {season}: no metrics.json")
+            continue
+        strategy, sigma, mode = _parse_scenario(scenario_key)
+        sigma_kw = 30 if sigma == 30 else None
+        print(f"=== {site} {season} temporal {scenario_key} ===")
+        out = run_temporal_pc(
+            site,
+            season,
+            pos,
+            strategy,
+            sigma_kw,
+            mode,
+            skip_manifest=False,
+            skip_fusion=args.skip_fusion,
+            gap_days_filter=args.gap_days,
+            transition_filter=None,
+            s2_calendar_strategy=strategy,
+        )
+        print(out)
+
+
+if __name__ == "__main__":
+    main()