Fix coverage: add /api/coverage route, remove stray gather code from loadCoverage

2026-02-19 14:53:10 +01:00
parent 61b25ab734
commit bbd6a22b57
80 changed files with 27884 additions and 1 deletions
--- a/scripts/index_ultimate.py
+++ b/scripts/index_ultimate.py
@@ -0,0 +1,105 @@
+import os, re, json, h5py
+from pathlib import Path
+from datetime import datetime, timedelta
+from tqdm import tqdm
+
+DATA_ROOTS = [Path("/mnt/kingston"), Path("/mnt/data_sdb1")]
+POSITIONS_CSV = Path("/mnt/kingston/Copie de SETE_AUV_DARFV4-Copier(1).csv")
+OUTPUT_INDEX = Path("/mnt/kingston/seismic_webapp/data/index.json")
+SAMPLE_RATE = 200
+
+def load_pos():
+    positions = {}
+    if not POSITIONS_CSV.exists(): return {}
+    with open(POSITIONS_CSV, 'r', encoding='utf-8', errors='replace') as f:
+        lines = f.readlines()
+        if len(lines) < 5: return {}
+        headers = lines[3].strip().split(',')
+        try:
+            ni = headers.index('NodeCode')
+            ei = headers.index('Aslaid Easting') if 'Aslaid Easting' in headers else headers.index('Preplot Easting')
+            oi = headers.index('Aslaid Northing') if 'Aslaid Northing' in headers else headers.index('Preplot Northing')
+        except: return {}
+        for line in lines[4:]:
+            parts = line.strip().split(',')
+            try:
+                nid = parts[ni].strip()
+                positions[nid] = {
+                    'easting': float(parts[ei]), 
+                    'northing': float(parts[oi]), 
+                    'depth': float(parts[headers.index('Aslaid Depth')]) if 'Aslaid Depth' in headers else 0.0
+                }
+            except: continue
+    return positions
+
+def scan():
+    pos = load_pos()
+    nodes = {}
+    all_dates = set()
+    file_count = 0
+    
+    print("🔍 Scanning ONLY 'data' H5 files (ignoring 'aux')...")
+    all_h5_files = []
+    for root in DATA_ROOTS:
+        all_h5_files.extend(list(root.rglob("*.h5")))
+    
+    for h5_path in tqdm(all_h5_files):
+        # FILTRE : Uniquement les fichiers contenant "data"
+        if "_data_" not in h5_path.name.lower():
+            continue
+            
+        try:
+            match = re.search(r'auto_(\d+)_(\d{6})_b(\d+)_.*?_(\d{10})\.h5$', h5_path.name)
+            if not match: continue
+            
+            julian_day = int(match.group(1))
+            time_str = match.group(2)
+            node_id = match.group(3)
+            
+            date_ref = datetime(2020, 1, 1) + timedelta(days=julian_day - 1)
+            date_str = date_ref.strftime('%Y-%m-%d')
+            
+            h, m, s = int(time_str[:2]), int(time_str[2:4]), int(time_str[4:6])
+            actual_start_ts = int(datetime(2020, 1, 1).timestamp() + (julian_day - 1) * 86400 + h * 3600 + m * 60 + s)
+            
+            with h5py.File(h5_path, 'r') as f:
+                if 'adc_values' not in f: continue
+                duration = f['adc_values'].shape[0] / SAMPLE_RATE
+                actual_end_ts = actual_start_ts + duration
+                
+                all_dates.add(date_str)
+                
+                if node_id not in nodes:
+                    nodes[node_id] = {
+                        'id': node_id,
+                        'position': pos.get(node_id),
+                        'files': []
+                    }
+                
+                # On extrait le canal du nom de fichier pour un matching plus précis
+                channel_match = re.search(r'_ch(\d+)_', h5_path.name)
+                channel = f"ch{channel_match.group(1)}" if channel_match else "ch0"
+                
+                nodes[node_id]['files'].append({
+                    'path': str(h5_path),
+                    'start': actual_start_ts,
+                    'end': actual_end_ts,
+                    'julian': julian_day,
+                    'channel': channel # Canal spécifique au fichier
+                })
+                file_count += 1
+        except: continue
+
+    result = {
+        'generated_at': datetime.now().isoformat(),
+        'sample_rate_hz': SAMPLE_RATE,
+        'nodes': nodes,
+        'dates': sorted(list(all_dates))
+    }
+    
+    with open(OUTPUT_INDEX, 'w') as f:
+        json.dump(result, f, indent=2)
+    
+    print(f"✅ Index updated: {file_count} 'data' files, {len(nodes)} nodes.")
+
+if __name__ == '__main__': scan()