import h5py
import numpy as np

# Test file
filepath = r'F:\2020-09-22\data\auto_266_143513_b29_13_213605_data_rsn2648_seq1_ch0_1599039547.h5'

with h5py.File(filepath, 'r') as f:
    print("=== Structure du fichier ===")
    print("Datasets:", list(f.keys()))
    
    if 'adc_values' in f:
        d = f['adc_values']
        print("\n=== Dataset adc_values ===")
        print("Shape:", d.shape)
        print("Dtype:", d.dtype)
        
        print("\n=== Attributs du dataset ===")
        for k, v in d.attrs.items():
            print(f"  {k}: {v}")
        
        # Charger un échantillon
        sample = d[:2000]
        print("\n=== Statistiques (premiers 2000 samples) ===")
        print("Min:", np.min(sample))
        print("Max:", np.max(sample))
        print("Mean:", np.mean(sample))
        print("Std:", np.std(sample))
        print("RMS:", np.sqrt(np.mean(sample**2)))
        
        print("\n=== Premiers 20 valeurs ===")
        print(sample[:20])