88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
import os, re, json, h5py
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from pathlib import Path
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from datetime import datetime
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from tqdm import tqdm
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DATA_ROOTS = [Path("/mnt/kingston"), Path("/mnt/data_sdb1")]
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POSITIONS_CSV = Path("/mnt/kingston/Copie de SETE_AUV_DARFV4-Copier(1).csv")
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OUTPUT_INDEX = Path("/mnt/kingston/seismic_webapp/data/index.json")
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SAMPLE_RATE = 200
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def load_pos():
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positions = {}
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if not POSITIONS_CSV.exists(): return {}
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with open(POSITIONS_CSV, 'r', encoding='utf-8', errors='replace') as f:
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lines = f.readlines()
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if len(lines) < 5: return {}
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headers = lines[3].strip().split(',')
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try:
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ni = headers.index('NodeCode')
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ei = headers.index('Aslaid Easting') if 'Aslaid Easting' in headers else headers.index('Preplot Easting')
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oi = headers.index('Aslaid Northing') if 'Aslaid Northing' in headers else headers.index('Preplot Northing')
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di = headers.index('Aslaid Depth') if 'Aslaid Depth' in headers else -1
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except: return {}
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for line in lines[4:]:
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parts = line.strip().split(',')
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try:
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nid = parts[ni].strip()
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positions[nid] = {
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'easting': float(parts[ei]),
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'northing': float(parts[oi]),
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'depth': float(parts[di]) if di != -1 else 0.0
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}
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except: continue
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return positions
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def scan():
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pos = load_pos()
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index = {}
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file_count = 0
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print(f"Scanning H5 files... Positions loaded: {len(pos)}")
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all_files = []
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for root in DATA_ROOTS:
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all_files.extend(list(root.rglob("*.h5")))
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for h5_path in tqdm(all_files):
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try:
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match = re.search(r'_b(\d+)_', h5_path.name)
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if not match: continue
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nid = match.group(1)
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with h5py.File(h5_path, 'r') as f:
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if 'adc_values' not in f: continue
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ds = f['adc_values']
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start_ts = int(ds.attrs.get('timestamp', 0))
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if start_ts == 0: continue
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duration = ds.shape[0] / SAMPLE_RATE
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end_ts = start_ts + duration
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if nid not in index:
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index[nid] = {
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'id': nid,
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'position': pos.get(nid),
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'files': []
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}
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index[nid]['files'].append({
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'path': str(h5_path),
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'start': start_ts,
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'end': end_ts,
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'channels': ['ch0', 'ch1', 'ch2', 'ch3']
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})
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file_count += 1
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except: continue
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# Sauvegarder l'index
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with open(OUTPUT_INDEX, 'w') as f:
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json.dump({
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'generated_at': datetime.now().isoformat(),
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'sample_rate_hz': SAMPLE_RATE,
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'nodes': index
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}, f)
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print(f"Index généré: {file_count} fichiers, {len(index)} nodes avec positions.")
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if __name__ == '__main__': scan()
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