merge_hdf5.py

# %%
import os

import h5py
import matplotlib.pyplot as plt
from tqdm import tqdm

# %%
h5_dir = "waveform_h5"
h5_out = "waveform.h5"
h5_train = "waveform_train.h5"
h5_test = "waveform_test.h5"

# # %%
# h5_dir = "waveform_h5"
# h5_out = "waveform.h5"
# h5_train = "waveform_train.h5"
# h5_test = "waveform_test.h5"

h5_files = sorted(os.listdir(h5_dir))
train_files = h5_files[:-1]
test_files = h5_files[-1:]
# train_files = h5_files
# train_files = [x for x in train_files if (x != "2014.h5") and (x not in [])]
# test_files = []
print(f"train files: {train_files}")
print(f"test files: {test_files}")

# %%
with h5py.File(h5_out, "w") as fp:
    # external linked file
    for h5_file in h5_files:
        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
                if event not in fp:
                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
                else:
                    print(f"{event} already exists")
                    continue

# %%
with h5py.File(h5_train, "w") as fp:
    # external linked file
    for h5_file in train_files:
        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
                if event not in fp:
                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
                else:
                    print(f"{event} already exists")
                    continue

# %%
with h5py.File(h5_test, "w") as fp:
    # external linked file
    for h5_file in test_files:
        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
                if event not in fp:
                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
                else:
                    print(f"{event} already exists")
                    continue

# %%