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

scripts/rebuild_h5_db_v3.py

@@ -0,0 +1,137 @@
+#!/usr/bin/env python3
+"""Rebuild H5 metadata database - V3 (include expected positions from CSV)."""
+import os
+import re
+import csv
+import sqlite3
+from datetime import datetime
+
+H5_ROOTS = ['/mnt/data_sdb1', '/mnt/kingston']
+CSV_PATH = '/mnt/kingston/Copie de SETE_AUV_DARFV4-Copier(1).csv'
+DB_PATH = '/home/floppyrj45/docker/seismic-nodes-viewer/h5_data.db'
+
+FILE_PATTERN = re.compile(r'b(\d+)')
+CHANNEL_PATTERN = re.compile(r'ch(\d+)')
+
+SCHEMA = [
+    'CREATE TABLE IF NOT EXISTS positions (node_code INTEGER PRIMARY KEY, has_data BOOLEAN, has_aux BOOLEAN, sample_count INTEGER, last_seen TEXT, expected BOOLEAN)',
+    'CREATE TABLE IF NOT EXISTS files (id INTEGER PRIMARY KEY AUTOINCREMENT, path TEXT, node_code INTEGER, channel INTEGER, dataset TEXT, size INTEGER, mtime INTEGER, FOREIGN KEY(node_code) REFERENCES positions(node_code))',
+    'CREATE INDEX IF NOT EXISTS idx_files_node ON files(node_code)'
+]
+
+def rebuild_db():
+    conn = sqlite3.connect(DB_PATH)
+    cur = conn.cursor()
+
+    for stmt in SCHEMA:
+        cur.execute(stmt)
+
+    cur.execute('DELETE FROM files')
+    cur.execute('DELETE FROM positions')
+
+    # 1. Charger les positions attendues depuis le CSV
+    expected_nodes = set()
+    try:
+        with open(CSV_PATH, 'r', encoding='utf-8-sig') as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                node_code = row.get('NodeCode', '').strip()
+                if node_code and node_code.isdigit():
+                    expected_nodes.add(int(node_code))
+        print(f"✓ Loaded {len(expected_nodes)} expected positions from CSV")
+    except Exception as e:
+        print(f"⚠ CSV not found or error: {e}")
+        print("  Continuing with file scan only...")
+
+    # 2. Scanner les fichiers H5
+    files_counter = 0
+    found_nodes = {}
+
+    for root in H5_ROOTS:
+        for dirpath, _, filenames in os.walk(root):
+            for filename in filenames:
+                if not filename.endswith('.h5'):
+                    continue
+                
+                filepath = os.path.join(dirpath, filename)
+                
+                node_match = FILE_PATTERN.search(filename)
+                if not node_match:
+                    continue
+                
+                node_code = int(node_match.group(1))
+                channel_match = CHANNEL_PATTERN.search(filename)
+                channel = int(channel_match.group(1)) if channel_match else -1
+                dataset = 'aux' if 'aux' in filename else 'data'
+                
+                stat = os.stat(filepath)
+                mtime = int(stat.st_mtime)
+                size = stat.st_size
+                
+                found_nodes.setdefault(node_code, {'data': False, 'aux': False, 'count': 0, 'last': 0})
+                found_nodes[node_code]['count'] += 1
+                found_nodes[node_code]['last'] = max(found_nodes[node_code]['last'], mtime)
+                if dataset == 'data':
+                    found_nodes[node_code]['data'] = True
+                else:
+                    found_nodes[node_code]['aux'] = True
+                
+                cur.execute(
+                    'INSERT INTO files (path, node_code, channel, dataset, size, mtime) VALUES (?, ?, ?, ?, ?, ?)',
+                    (filepath, node_code, channel, dataset, size, mtime)
+                )
+                files_counter += 1
+
+    print(f"✓ Indexed {files_counter} H5 files")
+    print(f"✓ Found {len(found_nodes)} positions with data")
+
+    # 3. Créer les entrées pour TOUTES les positions (attendues + trouvées)
+    all_nodes = expected_nodes | set(found_nodes.keys())
+    
+    for node_code in all_nodes:
+        is_expected = node_code in expected_nodes
+        
+        if node_code in found_nodes:
+            stats = found_nodes[node_code]
+            has_data = 1 if stats['data'] else 0
+            has_aux = 1 if stats['aux'] else 0
+            last_seen = datetime.fromtimestamp(stats['last']).isoformat()
+            sample_count = stats['count']
+        else:
+            # Position attendue mais sans données
+            has_data = 0
+            has_aux = 0
+            last_seen = None
+            sample_count = 0
+        
+        cur.execute(
+            'INSERT INTO positions (node_code, has_data, has_aux, sample_count, last_seen, expected) VALUES (?, ?, ?, ?, ?, ?)',
+            (node_code, has_data, has_aux, sample_count, last_seen, 1 if is_expected else 0)
+        )
+
+    conn.commit()
+    
+    # Stats finales
+    cur.execute('SELECT COUNT(*) FROM positions')
+    total = cur.fetchone()[0]
+    
+    cur.execute('SELECT COUNT(*) FROM positions WHERE has_data = 1')
+    with_data = cur.fetchone()[0]
+    
+    cur.execute('SELECT COUNT(*) FROM positions WHERE expected = 1')
+    expected_count = cur.fetchone()[0]
+    
+    cur.execute('SELECT COUNT(*) FROM positions WHERE expected = 1 AND has_data = 0')
+    missing = cur.fetchone()[0]
+    
+    print(f"\n📊 Database Summary:")
+    print(f"  • Total positions in DB: {total}")
+    print(f"  • Expected (from CSV): {expected_count}")
+    print(f"  • With H5 data: {with_data}")
+    print(f"  • Missing (expected but no data): {missing}")
+    print(f"  • Coverage: {(with_data/expected_count*100 if expected_count else 0):.1f}%")
+    
+    conn.close()
+
+if __name__ == '__main__':
+    rebuild_db()