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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Inspect any HDF5 file as a readable tree, including attributes.
Examples:
python scripts/readh5.py data/example.h5
python scripts/readh5.py data/example.h5 --max-depth 3 --max-items 20
python scripts/readh5.py data/example.h5 --all --preview 5
"""
import argparse
import math
import h5py
import numpy as np
DEFAULT_H5_FILE = "data/hdf5/continuous_waveform_usa_20190701.h5"
def safe_decode(value):
if isinstance(value, bytes):
return value.decode("utf-8", errors="replace")
return value
def format_scalar(value):
value = safe_decode(value)
if isinstance(value, np.generic):
value = value.item()
value = safe_decode(value)
return repr(value) if isinstance(value, str) else str(value)
def format_array(value, max_values=8):
array = np.asarray(value)
if array.ndim == 0:
return format_scalar(array[()])
flat_values = [format_scalar(x) for x in array.flat[:max_values]]
suffix = ", ..." if array.size > max_values else ""
preview = ", ".join(flat_values) + suffix
return (
f"array(shape={array.shape}, dtype={array.dtype}, "
f"values=[{preview}])"
)
def format_attr_value(value, max_values=8):
if isinstance(value, np.ndarray):
return format_array(value, max_values=max_values)
if isinstance(value, (list, tuple)):
values = [format_attr_value(x, max_values=max_values) for x in value[:max_values]]
suffix = ", ..." if len(value) > max_values else ""
return f"{type(value).__name__}([{', '.join(values)}{suffix}])"
return format_scalar(value)
def format_nbytes(nbytes):
if nbytes is None:
return "unknown"
units = ("B", "KiB", "MiB", "GiB", "TiB")
value = float(nbytes)
unit_index = 0
while value >= 1024 and unit_index < len(units) - 1:
value /= 1024
unit_index += 1
if unit_index == 0:
return f"{int(value)} {units[unit_index]}"
return f"{value:.2f} {units[unit_index]}"
def dataset_nbytes(dataset):
if dataset.shape is None:
return None
if any(dim is None for dim in dataset.shape):
return None
return math.prod(dataset.shape) * dataset.dtype.itemsize
def print_attrs(obj, indent, max_attr_values):
prefix = " " * indent
if not obj.attrs:
return
print(f"{prefix}@attrs")
for key, value in obj.attrs.items():
formatted = format_attr_value(value, max_values=max_attr_values)
print(f"{prefix} - {key}: {formatted}")
def print_dataset(dataset, name, indent, max_attr_values, preview):
prefix = " " * indent
details = [
f"shape={dataset.shape}",
f"dtype={dataset.dtype}",
f"size={format_nbytes(dataset_nbytes(dataset))}",
]
if dataset.chunks is not None:
details.append(f"chunks={dataset.chunks}")
if dataset.compression is not None:
compression = dataset.compression
if dataset.compression_opts is not None:
compression = f"{compression}:{dataset.compression_opts}"
details.append(f"compression={compression}")
if dataset.maxshape is not None and dataset.maxshape != dataset.shape:
details.append(f"maxshape={dataset.maxshape}")
print(f"{prefix}{name} [Dataset] " + ", ".join(details))
print_attrs(dataset, indent + 2, max_attr_values=max_attr_values)
if preview > 0:
print_dataset_preview(dataset, indent + 2, preview)
def print_dataset_preview(dataset, indent, preview):
prefix = " " * indent
try:
if dataset.shape == ():
values = dataset[()]
elif dataset.size == 0:
values = []
elif dataset.ndim == 1:
values = dataset[:preview]
else:
slices = tuple(slice(0, min(preview, dim)) for dim in dataset.shape)
values = dataset[slices]
print(f"{prefix}preview: {format_array(values, max_values=preview)}")
except Exception as exc:
print(f"{prefix}preview: <unavailable: {exc}>")
def print_link(group, key, indent):
prefix = " " * indent
link = group.get(key, getlink=True)
if isinstance(link, h5py.SoftLink):
print(f"{prefix}{key} [SoftLink] -> {link.path}")
return True
if isinstance(link, h5py.ExternalLink):
print(f"{prefix}{key} [ExternalLink] -> {link.filename}:{link.path}")
return True
return False
def sorted_or_native(keys, sort_keys):
return sorted(keys) if sort_keys else list(keys)
def iter_limited(values, max_items):
if max_items is None:
yield from values
return
for value in values[:max_items]:
yield value
def inspect_group(
group,
name,
indent,
max_items,
max_depth,
max_attr_values,
preview,
sort_keys,
seen,
):
prefix = " " * indent
node_type = "File" if isinstance(group, h5py.File) else "Group"
display_name = "/" if isinstance(group, h5py.File) else f"{name}/"
print(f"{prefix}{display_name} [{node_type}]")
print_attrs(group, indent + 2, max_attr_values=max_attr_values)
if max_depth is not None and indent // 2 >= max_depth:
print(f"{prefix} ... max depth reached")
return
keys = sorted_or_native(group.keys(), sort_keys=sort_keys)
for key in iter_limited(keys, max_items=max_items):
if print_link(group, key, indent + 2):
continue
try:
item = group[key]
except Exception as exc:
print(f"{' ' * (indent + 2)}{key} [Unreadable] {exc}")
continue
object_id = item.id.__hash__()
if object_id in seen:
print(f"{' ' * (indent + 2)}{key} [Already visited]")
continue
if isinstance(item, h5py.Group):
seen.add(object_id)
inspect_group(
item,
name=key,
indent=indent + 2,
max_items=max_items,
max_depth=max_depth,
max_attr_values=max_attr_values,
preview=preview,
sort_keys=sort_keys,
seen=seen,
)
elif isinstance(item, h5py.Dataset):
print_dataset(
item,
name=key,
indent=indent + 2,
max_attr_values=max_attr_values,
preview=preview,
)
else:
print(f"{' ' * (indent + 2)}{key} [{type(item).__name__}]")
if max_items is not None:
remaining = len(keys) - max_items
if remaining > 0:
print(f"{prefix} ... {remaining} more item(s), use --all to show all")
def inspect_hdf5(
h5_file,
max_items=50,
max_depth=None,
max_attr_values=8,
preview=0,
sort_keys=False,
):
with h5py.File(h5_file, "r") as h5:
inspect_group(
h5,
name="/",
indent=0,
max_items=max_items,
max_depth=max_depth,
max_attr_values=max_attr_values,
preview=preview,
sort_keys=sort_keys,
seen={h5.id.__hash__()},
)
def positive_int(value):
value = int(value)
if value < 0:
raise argparse.ArgumentTypeError("value must be >= 0")
return value
def parse_args():
parser = argparse.ArgumentParser(
description="Read any HDF5 file and print its tree structure with attributes."
)
parser.add_argument(
"h5_file",
nargs="?",
default=DEFAULT_H5_FILE,
help=f"Input HDF5 file. Default: {DEFAULT_H5_FILE}",
)
parser.add_argument(
"--h5_file",
dest="h5_file_option",
help="Input HDF5 file, kept for compatibility with older commands.",
)
parser.add_argument(
"--max-items",
"--max_items",
type=positive_int,
default=50,
help="Maximum child items shown under each group. Default: 50.",
)
parser.add_argument(
"--all",
action="store_true",
help="Show all child items under each group.",
)
parser.add_argument(
"--max-depth",
"--max_depth",
type=positive_int,
default=None,
help="Maximum display depth. File root is depth 0. Default: unlimited.",
)
parser.add_argument(
"--max-attr-values",
type=positive_int,
default=8,
help="Maximum values shown for each array-like attribute. Default: 8.",
)
parser.add_argument(
"--preview",
type=positive_int,
default=0,
help="Preview up to N values from each dataset. Default: 0.",
)
parser.add_argument(
"--sort",
action="store_true",
help="Sort group keys alphabetically instead of using file order.",
)
args = parser.parse_args()
if args.h5_file_option:
args.h5_file = args.h5_file_option
if args.all:
args.max_items = None
return args
def main():
args = parse_args()
inspect_hdf5(
h5_file=args.h5_file,
max_items=args.max_items,
max_depth=args.max_depth,
max_attr_values=args.max_attr_values,
preview=args.preview,
sort_keys=args.sort,
)
if __name__ == "__main__":
main()