Source code for asdf.util

import enum
import importlib.util
import inspect
import math
import re
import struct
import sys
from functools import lru_cache

import numpy as np
import yaml

from . import constants

# The standard library importlib.metadata returns duplicate entrypoints
# for all python versions up to and including 3.11
# https://github.com/python/importlib_metadata/issues/410#issuecomment-1304258228
# see PR https://github.com/asdf-format/asdf/pull/1260
# see issue https://github.com/asdf-format/asdf/issues/1254
if sys.version_info >= (3, 12):
    pass
else:
    pass


# We're importing our own copy of urllib.parse because
# we need to patch it to support asdf:// URIs, but it'd
# be irresponsible to do this for all users of a
# standard library.
urllib_parse_spec = importlib.util.find_spec("urllib.parse")
_patched_urllib_parse = importlib.util.module_from_spec(urllib_parse_spec)
urllib_parse_spec.loader.exec_module(_patched_urllib_parse)
del urllib_parse_spec

# urllib.parse needs to know that it should treat asdf://
# URIs like http:// URIs for the purposes of joining
# a relative path to a base URI.
_patched_urllib_parse.uses_relative.append("asdf")
_patched_urllib_parse.uses_netloc.append("asdf")


__all__ = [
    "load_yaml",
    "get_array_base",
    "get_base_uri",
    "calculate_padding",
    "NotSet",
    "uri_match",
    "get_class_name",
    "get_file_type",
    "FileType",
]


[docs] def load_yaml(init, tagged=False): """ Load just the yaml portion of an ASDF file Parameters ---------- init : filename or file-like If file-like this must be opened in binary mode. tagged: bool, optional Return tree with instances of `asdf.tagged.Tagged` this can be helpful if the yaml tags are of interest. If False, the tree will only contain basic python types (see the pyyaml ``BaseLoader`` documentation). Returns ------- tree : dict Dictionary representing the ASDF tree """ from .generic_io import get_file from .yamlutil import AsdfLoader, _IgnoreCustomTagsLoader if tagged: loader = AsdfLoader else: loader = _IgnoreCustomTagsLoader with get_file(init, "r") as gf: reader = gf.reader_until( constants.YAML_END_MARKER_REGEX, 7, "End of YAML marker", include=True, ) # The following call to yaml.load is safe because we're # using only loaders that don't create custom python objects content = yaml.load(reader, Loader=loader) # noqa: S506 return content
[docs] def get_array_base(arr): """ For a given Numpy array, finds the base array that "owns" the actual data. """ from .tags.core import ndarray base = arr while isinstance(base.base, (np.ndarray, ndarray.NDArrayType)): base = base.base return base
[docs] def get_base_uri(uri): """ For a given URI, return the part without any fragment. """ parts = _patched_urllib_parse.urlparse(uri) return _patched_urllib_parse.urlunparse([*list(parts[:5]), ""])
def _iter_subclasses(cls): """ Returns all subclasses of a class. """ for x in cls.__subclasses__(): yield x yield from _iter_subclasses(x)
[docs] def calculate_padding(content_size, pad_blocks, block_size): """ Calculates the amount of extra space to add to a block given the user's request for the amount of extra space. Care is given so that the total of size of the block with padding is evenly divisible by block size. Parameters ---------- content_size : int The size of the actual content pad_blocks : float or bool If `False`, add no padding (always return 0). If `True`, add a default amount of padding of 10% If a float, it is a factor to multiple content_size by to get the new total size. block_size : int The filesystem block size to use. Returns ------- nbytes : int The number of extra bytes to add for padding. """ if not pad_blocks: return 0 if pad_blocks is True: pad_blocks = 1.1 new_size = content_size * pad_blocks new_size = int((math.ceil(float(new_size) / block_size) + 1) * block_size) return max(new_size - content_size, 0)
class _BinaryStruct: """ A wrapper around the Python stdlib struct module to define a binary struct more like a dictionary than a tuple. """ def __init__(self, descr, endian=">"): """ Parameters ---------- descr : list of tuple Each entry is a pair ``(name, format)``, where ``format`` is one of the format types understood by `struct`. endian : str, optional The endianness of the struct. Must be ``>`` or ``<``. """ self._fmt = [endian] self._offsets = {} self._names = [] i = 0 for name, fmt in descr: self._fmt.append(fmt) self._offsets[name] = (i, (endian + fmt).encode("ascii")) self._names.append(name) i += struct.calcsize(fmt.encode("ascii")) self._fmt = "".join(self._fmt).encode("ascii") self._size = struct.calcsize(self._fmt) @property def size(self): """ Return the size of the struct. """ return self._size def pack(self, **kwargs): """ Pack the given arguments, which are given as kwargs, and return the binary struct. """ fields = [0] * len(self._names) for key, val in kwargs.items(): if key not in self._offsets: msg = f"No header field '{key}'" raise KeyError(msg) i = self._names.index(key) fields[i] = val return struct.pack(self._fmt, *fields) def unpack(self, buff): """ Unpack the given binary buffer into the fields. The result is a dictionary mapping field names to values. """ args = struct.unpack_from(self._fmt, buff[: self._size]) return dict(zip(self._names, args)) def update(self, fd, **kwargs): """ Update part of the struct in-place. Parameters ---------- fd : generic_io.GenericIO instance A writable, seekable file descriptor, currently seeked to the beginning of the struct. **kwargs : values The values to update on the struct. """ updates = [] for key, val in kwargs.items(): if key not in self._offsets: msg = f"No header field '{key}'" raise KeyError(msg) updates.append((self._offsets[key], val)) updates.sort() start = fd.tell() for (offset, datatype), val in updates: fd.seek(start + offset) fd.write(struct.pack(datatype, val)) class HashableDict(dict): """ A simple wrapper around dict to make it hashable. This is sure to be slow, but for small dictionaries it shouldn't matter. """ def __hash__(self): return hash(frozenset(self.items()))
[docs] def get_class_name(obj, instance=True): """ Given a class or instance of a class, returns a string representing the fully specified path of the class. Parameters ---------- obj : object An instance of any object instance: bool Indicates whether given object is an instance of the class to be named """ typ = type(obj) if instance else obj return f"{typ.__module__}.{typ.__qualname__}"
class _InheritDocstrings(type): """ This metaclass makes methods of a class automatically have their docstrings filled in from the methods they override in the base class. If the class uses multiple inheritance, the docstring will be chosen from the first class in the bases list, in the same way as methods are normally resolved in Python. If this results in selecting the wrong docstring, the docstring will need to be explicitly included on the method. For example:: >>> from asdf.util import _InheritDocstrings >>> class A(metaclass=_InheritDocstrings): ... def wiggle(self): ... "Wiggle the thingamajig" ... pass >>> class B(A): ... def wiggle(self): ... pass >>> B.wiggle.__doc__ 'Wiggle the thingamajig' """ def __init__(cls, name, bases, dct): def is_public_member(key): return (key.startswith("__") and key.endswith("__") and len(key) > 4) or not key.startswith("_") for key, val in dct.items(): if inspect.isfunction(val) and is_public_member(key) and val.__doc__ is None: for base in cls.__mro__[1:]: super_method = getattr(base, key, None) if super_method is not None: val.__doc__ = super_method.__doc__ break super().__init__(name, bases, dct) class _NotSetType: def __repr__(self): return "NotSet" """ Special value indicating that a parameter is not set. Distinct from None, which may for example be a value of interest in a search. """ NotSet = _NotSetType()
[docs] def uri_match(pattern, uri): """ Determine if a URI matches a URI pattern with possible wildcards. The two recognized wildcards: "*": match any character except / "**": match any character Parameters ---------- pattern : str URI pattern. uri : str URI to check against the pattern. Returns ------- bool `True` if URI matches the pattern. """ if not isinstance(uri, str): return False if "*" in pattern: return _compile_uri_match_pattern(pattern).fullmatch(uri) is not None return pattern == uri
@lru_cache(1024) def _compile_uri_match_pattern(pattern): # Escape the pattern in case it contains regex special characters # ('.' in particular is common in URIs) and then replace the # escaped asterisks with the appropriate regex matchers. pattern = re.escape(pattern) pattern = pattern.replace(r"\*\*", r".*") pattern = pattern.replace(r"\*", r"[^/]*") return re.compile(pattern)
[docs] def get_file_type(fd): """ Determine the file type of an open GenericFile instance. Parameters ---------- fd : ``asdf.generic_io.GenericFile`` Returns ------- `asdf.util.FileType` """ if fd.peek(5) == constants.ASDF_MAGIC: return FileType.ASDF if fd.peek(6) == constants.FITS_MAGIC: return FileType.FITS return FileType.UNKNOWN
[docs] class FileType(enum.Enum): """ Enum representing if a file is ASDF, FITS or UNKNOWN. """ ASDF = 1 FITS = 2 UNKNOWN = 3