from pathlib import Path
import pandas as pd
import numpy as np

samp_np = 10395
missing_second = 11495+11463-6300
missing_length = 17.29-2.81
fs = 500
missging_bcg = Path(rf"E:\code\DataCombine2023\ZD5Y2\OrgBCG_Text\{samp_np}\OrgBCG_Raw_500.txt")

bcg_data = pd.read_csv(missging_bcg, header=None).to_numpy().reshape(-1)
miss_start = int(missing_second  * fs)
bcg_data_filled = np.concatenate([bcg_data[:miss_start],
                                  np.full(int(missing_length * fs), np.mean(bcg_data)),
                                  bcg_data[miss_start:]])

output_path = Path(rf"E:\code\DataCombine2023\ZD5Y2\OrgBCG_Text\{samp_np}\OrgBCG_Raw_500_filled.txt")
np.savetxt(output_path, bcg_data_filled, fmt="%d")