Added efast.

clouds.py

@@ -6,38 +6,45 @@ from datetime import datetime
 def detect_clouds(year, site_name):
     output_file = Path(f"data/{site_name}/{year}/clouds.json")
     clouds = {"s2": [], "s3": []}
-    
+
     for source in ["s2", "s3"]:
         timeseries_file = Path(f"data/{site_name}/{year}/ndvi/{source}/timeseries.json")
         if not timeseries_file.exists():
             print(f"[CLOUDS-{source.upper()}] No timeseries.json found")
             continue
-        
+
         print(f"[CLOUDS-{source.upper()}] Processing {timeseries_file}...")
-        
+
         with open(timeseries_file) as f:
             timeseries = json.load(f)
-        
-        entries = [(e, datetime.fromisoformat(e["date"].replace("Z", "+00:00"))) for e in timeseries if e["ndvi"] is not None]
-        
+
+        entries = [
+            (e, datetime.fromisoformat(e["date"].replace("Z", "+00:00")))
+            for e in timeseries
+            if e["ndvi"] is not None
+        ]
+
         for entry, entry_date in entries:
             # Use 14-day window for seasonal context, require NDVI < 0.3 and >0.15 below max
-            window_ndvi = [e["ndvi"] for e, d in entries if abs((d - entry_date).days) <= 14]
-            
+            window_ndvi = [
+                e["ndvi"] for e, d in entries if abs((d - entry_date).days) <= 14
+            ]
+
             if len(window_ndvi) < 3:
                 continue
-            
+
             max_ndvi = max(window_ndvi)
             threshold = max_ndvi - 0.15
-            
+
             if entry["ndvi"] < threshold and entry["ndvi"] < 0.3:
                 clouds[source].append(entry["filename"])
-        
-        print(f"[CLOUDS-{source.upper()}] Found {len(clouds[source])} cloud-covered files")
-    
+
+        print(
+            f"[CLOUDS-{source.upper()}] Found {len(clouds[source])} cloud-covered files"
+        )
+
     output_file.parent.mkdir(parents=True, exist_ok=True)
     with open(output_file, "w") as f:
         json.dump(clouds, f, indent=2)
-    
-    print(f"[CLOUDS] Saved: {output_file}")
 
+    print(f"[CLOUDS] Saved: {output_file}")