Spaces:
Running
Running
File size: 31,543 Bytes
c61ccee |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 |
import builtins
import importlib
import importlib.machinery
import inspect
import io
import linecache
import os
import types
from contextlib import contextmanager
from typing import Any, BinaryIO, Callable, cast, Dict, Iterable, List, Optional, Union
from weakref import WeakValueDictionary
import torch
from torch.serialization import _get_restore_location, _maybe_decode_ascii
from ._directory_reader import DirectoryReader
from ._importlib import (
_calc___package__,
_normalize_line_endings,
_normalize_path,
_resolve_name,
_sanity_check,
)
from ._mangling import demangle, PackageMangler
from ._package_unpickler import PackageUnpickler
from .file_structure_representation import _create_directory_from_file_list, Directory
from .glob_group import GlobPattern
from .importer import Importer
__all__ = ["PackageImporter"]
# This is a list of imports that are implicitly allowed even if they haven't
# been marked as extern. This is to work around the fact that Torch implicitly
# depends on numpy and package can't track it.
# https://github.com/pytorch/MultiPy/issues/46
IMPLICIT_IMPORT_ALLOWLIST: Iterable[str] = [
"numpy",
"numpy.core",
"numpy.core._multiarray_umath",
# FX GraphModule might depend on builtins module and users usually
# don't extern builtins. Here we import it here by default.
"builtins",
]
class PackageImporter(Importer):
"""Importers allow you to load code written to packages by :class:`PackageExporter`.
Code is loaded in a hermetic way, using files from the package
rather than the normal python import system. This allows
for the packaging of PyTorch model code and data so that it can be run
on a server or used in the future for transfer learning.
The importer for packages ensures that code in the module can only be loaded from
within the package, except for modules explicitly listed as external during export.
The file ``extern_modules`` in the zip archive lists all the modules that a package externally depends on.
This prevents "implicit" dependencies where the package runs locally because it is importing
a locally-installed package, but then fails when the package is copied to another machine.
"""
"""The dictionary of already loaded modules from this package, equivalent to ``sys.modules`` but
local to this importer.
"""
modules: Dict[str, types.ModuleType]
def __init__(
self,
file_or_buffer: Union[str, torch._C.PyTorchFileReader, os.PathLike, BinaryIO],
module_allowed: Callable[[str], bool] = lambda module_name: True,
):
"""Open ``file_or_buffer`` for importing. This checks that the imported package only requires modules
allowed by ``module_allowed``
Args:
file_or_buffer: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
a string, or an ``os.PathLike`` object containing a filename.
module_allowed (Callable[[str], bool], optional): A method to determine if a externally provided module
should be allowed. Can be used to ensure packages loaded do not depend on modules that the server
does not support. Defaults to allowing anything.
Raises:
ImportError: If the package will use a disallowed module.
"""
torch._C._log_api_usage_once("torch.package.PackageImporter")
self.zip_reader: Any
if isinstance(file_or_buffer, torch._C.PyTorchFileReader):
self.filename = "<pytorch_file_reader>"
self.zip_reader = file_or_buffer
elif isinstance(file_or_buffer, (os.PathLike, str)):
self.filename = os.fspath(file_or_buffer)
if not os.path.isdir(self.filename):
self.zip_reader = torch._C.PyTorchFileReader(self.filename)
else:
self.zip_reader = DirectoryReader(self.filename)
else:
self.filename = "<binary>"
self.zip_reader = torch._C.PyTorchFileReader(file_or_buffer)
torch._C._log_api_usage_metadata(
"torch.package.PackageImporter.metadata",
{
"serialization_id": self.zip_reader.serialization_id(),
"file_name": self.filename,
},
)
self.root = _PackageNode(None)
self.modules = {}
self.extern_modules = self._read_extern()
for extern_module in self.extern_modules:
if not module_allowed(extern_module):
raise ImportError(
f"package '{file_or_buffer}' needs the external module '{extern_module}' "
f"but that module has been disallowed"
)
self._add_extern(extern_module)
for fname in self.zip_reader.get_all_records():
self._add_file(fname)
self.patched_builtins = builtins.__dict__.copy()
self.patched_builtins["__import__"] = self.__import__
# Allow packaged modules to reference their PackageImporter
self.modules["torch_package_importer"] = self # type: ignore[assignment]
self._mangler = PackageMangler()
# used for reduce deserializaiton
self.storage_context: Any = None
self.last_map_location = None
# used for torch.serialization._load
self.Unpickler = lambda *args, **kwargs: PackageUnpickler(self, *args, **kwargs)
def import_module(self, name: str, package=None):
"""Load a module from the package if it hasn't already been loaded, and then return
the module. Modules are loaded locally
to the importer and will appear in ``self.modules`` rather than ``sys.modules``.
Args:
name (str): Fully qualified name of the module to load.
package ([type], optional): Unused, but present to match the signature of importlib.import_module. Defaults to ``None``.
Returns:
types.ModuleType: The (possibly already) loaded module.
"""
# We should always be able to support importing modules from this package.
# This is to support something like:
# obj = importer.load_pickle(...)
# importer.import_module(obj.__module__) <- this string will be mangled
#
# Note that _mangler.demangle will not demangle any module names
# produced by a different PackageImporter instance.
name = self._mangler.demangle(name)
return self._gcd_import(name)
def load_binary(self, package: str, resource: str) -> bytes:
"""Load raw bytes.
Args:
package (str): The name of module package (e.g. ``"my_package.my_subpackage"``).
resource (str): The unique name for the resource.
Returns:
bytes: The loaded data.
"""
path = self._zipfile_path(package, resource)
return self.zip_reader.get_record(path)
def load_text(
self,
package: str,
resource: str,
encoding: str = "utf-8",
errors: str = "strict",
) -> str:
"""Load a string.
Args:
package (str): The name of module package (e.g. ``"my_package.my_subpackage"``).
resource (str): The unique name for the resource.
encoding (str, optional): Passed to ``decode``. Defaults to ``'utf-8'``.
errors (str, optional): Passed to ``decode``. Defaults to ``'strict'``.
Returns:
str: The loaded text.
"""
data = self.load_binary(package, resource)
return data.decode(encoding, errors)
def load_pickle(self, package: str, resource: str, map_location=None) -> Any:
"""Unpickles the resource from the package, loading any modules that are needed to construct the objects
using :meth:`import_module`.
Args:
package (str): The name of module package (e.g. ``"my_package.my_subpackage"``).
resource (str): The unique name for the resource.
map_location: Passed to `torch.load` to determine how tensors are mapped to devices. Defaults to ``None``.
Returns:
Any: The unpickled object.
"""
pickle_file = self._zipfile_path(package, resource)
restore_location = _get_restore_location(map_location)
loaded_storages = {}
loaded_reduces = {}
storage_context = torch._C.DeserializationStorageContext()
def load_tensor(dtype, size, key, location, restore_location):
name = f"{key}.storage"
if storage_context.has_storage(name):
storage = storage_context.get_storage(name, dtype)._typed_storage()
else:
tensor = self.zip_reader.get_storage_from_record(
".data/" + name, size, dtype
)
if isinstance(self.zip_reader, torch._C.PyTorchFileReader):
storage_context.add_storage(name, tensor)
storage = tensor._typed_storage()
loaded_storages[key] = restore_location(storage, location)
def persistent_load(saved_id):
assert isinstance(saved_id, tuple)
typename = _maybe_decode_ascii(saved_id[0])
data = saved_id[1:]
if typename == "storage":
storage_type, key, location, size = data
dtype = storage_type.dtype
if key not in loaded_storages:
load_tensor(
dtype,
size,
key,
_maybe_decode_ascii(location),
restore_location,
)
storage = loaded_storages[key]
# TODO: Once we decide to break serialization FC, we can
# stop wrapping with TypedStorage
return torch.storage.TypedStorage(
wrap_storage=storage._untyped_storage, dtype=dtype, _internal=True
)
elif typename == "reduce_package":
# to fix BC breaking change, objects on this load path
# will be loaded multiple times erroneously
if len(data) == 2:
func, args = data
return func(self, *args)
reduce_id, func, args = data
if reduce_id not in loaded_reduces:
loaded_reduces[reduce_id] = func(self, *args)
return loaded_reduces[reduce_id]
else:
f"Unknown typename for persistent_load, expected 'storage' or 'reduce_package' but got '{typename}'"
# Load the data (which may in turn use `persistent_load` to load tensors)
data_file = io.BytesIO(self.zip_reader.get_record(pickle_file))
unpickler = self.Unpickler(data_file)
unpickler.persistent_load = persistent_load # type: ignore[assignment]
@contextmanager
def set_deserialization_context():
# to let reduce_package access deserializaiton context
self.storage_context = storage_context
self.last_map_location = map_location
try:
yield
finally:
self.storage_context = None
self.last_map_location = None
with set_deserialization_context():
result = unpickler.load()
# TODO from zdevito:
# This stateful weird function will need to be removed in our efforts
# to unify the format. It has a race condition if multiple python
# threads try to read independent files
torch._utils._validate_loaded_sparse_tensors()
return result
def id(self):
"""
Returns internal identifier that torch.package uses to distinguish :class:`PackageImporter` instances.
Looks like::
<torch_package_0>
"""
return self._mangler.parent_name()
def file_structure(
self, *, include: "GlobPattern" = "**", exclude: "GlobPattern" = ()
) -> Directory:
"""Returns a file structure representation of package's zipfile.
Args:
include (Union[List[str], str]): An optional string e.g. ``"my_package.my_subpackage"``, or optional list of strings
for the names of the files to be included in the zipfile representation. This can also be
a glob-style pattern, as described in :meth:`PackageExporter.mock`
exclude (Union[List[str], str]): An optional pattern that excludes files whose name match the pattern.
Returns:
:class:`Directory`
"""
return _create_directory_from_file_list(
self.filename, self.zip_reader.get_all_records(), include, exclude
)
def python_version(self):
"""Returns the version of python that was used to create this package.
Note: this function is experimental and not Forward Compatible. The plan is to move this into a lock
file later on.
Returns:
:class:`Optional[str]` a python version e.g. 3.8.9 or None if no version was stored with this package
"""
python_version_path = ".data/python_version"
return (
self.zip_reader.get_record(python_version_path).decode("utf-8").strip()
if self.zip_reader.has_record(python_version_path)
else None
)
def _read_extern(self):
return (
self.zip_reader.get_record(".data/extern_modules")
.decode("utf-8")
.splitlines(keepends=False)
)
def _make_module(
self, name: str, filename: Optional[str], is_package: bool, parent: str
):
mangled_filename = self._mangler.mangle(filename) if filename else None
spec = importlib.machinery.ModuleSpec(
name,
self, # type: ignore[arg-type]
origin="<package_importer>",
is_package=is_package,
)
module = importlib.util.module_from_spec(spec)
self.modules[name] = module
module.__name__ = self._mangler.mangle(name)
ns = module.__dict__
ns["__spec__"] = spec
ns["__loader__"] = self
ns["__file__"] = mangled_filename
ns["__cached__"] = None
ns["__builtins__"] = self.patched_builtins
ns["__torch_package__"] = True
# Add this module to our private global registry. It should be unique due to mangling.
assert module.__name__ not in _package_imported_modules
_package_imported_modules[module.__name__] = module
# pre-emptively install on the parent to prevent IMPORT_FROM from trying to
# access sys.modules
self._install_on_parent(parent, name, module)
if filename is not None:
assert mangled_filename is not None
# pre-emptively install the source in `linecache` so that stack traces,
# `inspect`, etc. work.
assert filename not in linecache.cache # type: ignore[attr-defined]
linecache.lazycache(mangled_filename, ns)
code = self._compile_source(filename, mangled_filename)
exec(code, ns)
return module
def _load_module(self, name: str, parent: str):
cur: _PathNode = self.root
for atom in name.split("."):
if not isinstance(cur, _PackageNode) or atom not in cur.children:
if name in IMPLICIT_IMPORT_ALLOWLIST:
module = self.modules[name] = importlib.import_module(name)
return module
raise ModuleNotFoundError(
f'No module named "{name}" in self-contained archive "{self.filename}"'
f" and the module is also not in the list of allowed external modules: {self.extern_modules}",
name=name,
)
cur = cur.children[atom]
if isinstance(cur, _ExternNode):
module = self.modules[name] = importlib.import_module(name)
return module
return self._make_module(name, cur.source_file, isinstance(cur, _PackageNode), parent) # type: ignore[attr-defined]
def _compile_source(self, fullpath: str, mangled_filename: str):
source = self.zip_reader.get_record(fullpath)
source = _normalize_line_endings(source)
return compile(source, mangled_filename, "exec", dont_inherit=True)
# note: named `get_source` so that linecache can find the source
# when this is the __loader__ of a module.
def get_source(self, module_name) -> str:
# linecache calls `get_source` with the `module.__name__` as the argument, so we must demangle it here.
module = self.import_module(demangle(module_name))
return self.zip_reader.get_record(demangle(module.__file__)).decode("utf-8")
# note: named `get_resource_reader` so that importlib.resources can find it.
# This is otherwise considered an internal method.
def get_resource_reader(self, fullname):
try:
package = self._get_package(fullname)
except ImportError:
return None
if package.__loader__ is not self:
return None
return _PackageResourceReader(self, fullname)
def _install_on_parent(self, parent: str, name: str, module: types.ModuleType):
if not parent:
return
# Set the module as an attribute on its parent.
parent_module = self.modules[parent]
if parent_module.__loader__ is self:
setattr(parent_module, name.rpartition(".")[2], module)
# note: copied from cpython's import code, with call to create module replaced with _make_module
def _do_find_and_load(self, name):
path = None
parent = name.rpartition(".")[0]
module_name_no_parent = name.rpartition(".")[-1]
if parent:
if parent not in self.modules:
self._gcd_import(parent)
# Crazy side-effects!
if name in self.modules:
return self.modules[name]
parent_module = self.modules[parent]
try:
path = parent_module.__path__ # type: ignore[attr-defined]
except AttributeError:
# when we attempt to import a package only containing pybinded files,
# the parent directory isn't always a package as defined by python,
# so we search if the package is actually there or not before calling the error.
if isinstance(
parent_module.__loader__,
importlib.machinery.ExtensionFileLoader,
):
if name not in self.extern_modules:
msg = (
_ERR_MSG
+ "; {!r} is a c extension module which was not externed. C extension modules \
need to be externed by the PackageExporter in order to be used as we do not support interning them.}."
).format(name, name)
raise ModuleNotFoundError(msg, name=name) from None
if not isinstance(
parent_module.__dict__.get(module_name_no_parent),
types.ModuleType,
):
msg = (
_ERR_MSG
+ "; {!r} is a c extension package which does not contain {!r}."
).format(name, parent, name)
raise ModuleNotFoundError(msg, name=name) from None
else:
msg = (_ERR_MSG + "; {!r} is not a package").format(name, parent)
raise ModuleNotFoundError(msg, name=name) from None
module = self._load_module(name, parent)
self._install_on_parent(parent, name, module)
return module
# note: copied from cpython's import code
def _find_and_load(self, name):
module = self.modules.get(name, _NEEDS_LOADING)
if module is _NEEDS_LOADING:
return self._do_find_and_load(name)
if module is None:
message = f"import of {name} halted; None in sys.modules"
raise ModuleNotFoundError(message, name=name)
# To handle https://github.com/pytorch/pytorch/issues/57490, where std's
# creation of fake submodules via the hacking of sys.modules is not import
# friendly
if name == "os":
self.modules["os.path"] = cast(Any, module).path
elif name == "typing":
self.modules["typing.io"] = cast(Any, module).io
self.modules["typing.re"] = cast(Any, module).re
return module
def _gcd_import(self, name, package=None, level=0):
"""Import and return the module based on its name, the package the call is
being made from, and the level adjustment.
This function represents the greatest common denominator of functionality
between import_module and __import__. This includes setting __package__ if
the loader did not.
"""
_sanity_check(name, package, level)
if level > 0:
name = _resolve_name(name, package, level)
return self._find_and_load(name)
# note: copied from cpython's import code
def _handle_fromlist(self, module, fromlist, *, recursive=False):
"""Figure out what __import__ should return.
The import_ parameter is a callable which takes the name of module to
import. It is required to decouple the function from assuming importlib's
import implementation is desired.
"""
module_name = demangle(module.__name__)
# The hell that is fromlist ...
# If a package was imported, try to import stuff from fromlist.
if hasattr(module, "__path__"):
for x in fromlist:
if not isinstance(x, str):
if recursive:
where = module_name + ".__all__"
else:
where = "``from list''"
raise TypeError(
f"Item in {where} must be str, " f"not {type(x).__name__}"
)
elif x == "*":
if not recursive and hasattr(module, "__all__"):
self._handle_fromlist(module, module.__all__, recursive=True)
elif not hasattr(module, x):
from_name = f"{module_name}.{x}"
try:
self._gcd_import(from_name)
except ModuleNotFoundError as exc:
# Backwards-compatibility dictates we ignore failed
# imports triggered by fromlist for modules that don't
# exist.
if (
exc.name == from_name
and self.modules.get(from_name, _NEEDS_LOADING) is not None
):
continue
raise
return module
def __import__(self, name, globals=None, locals=None, fromlist=(), level=0):
if level == 0:
module = self._gcd_import(name)
else:
globals_ = globals if globals is not None else {}
package = _calc___package__(globals_)
module = self._gcd_import(name, package, level)
if not fromlist:
# Return up to the first dot in 'name'. This is complicated by the fact
# that 'name' may be relative.
if level == 0:
return self._gcd_import(name.partition(".")[0])
elif not name:
return module
else:
# Figure out where to slice the module's name up to the first dot
# in 'name'.
cut_off = len(name) - len(name.partition(".")[0])
# Slice end needs to be positive to alleviate need to special-case
# when ``'.' not in name``.
module_name = demangle(module.__name__)
return self.modules[module_name[: len(module_name) - cut_off]]
else:
return self._handle_fromlist(module, fromlist)
def _get_package(self, package):
"""Take a package name or module object and return the module.
If a name, the module is imported. If the passed or imported module
object is not a package, raise an exception.
"""
if hasattr(package, "__spec__"):
if package.__spec__.submodule_search_locations is None:
raise TypeError(f"{package.__spec__.name!r} is not a package")
else:
return package
else:
module = self.import_module(package)
if module.__spec__.submodule_search_locations is None:
raise TypeError(f"{package!r} is not a package")
else:
return module
def _zipfile_path(self, package, resource=None):
package = self._get_package(package)
assert package.__loader__ is self
name = demangle(package.__name__)
if resource is not None:
resource = _normalize_path(resource)
return f"{name.replace('.', '/')}/{resource}"
else:
return f"{name.replace('.', '/')}"
def _get_or_create_package(
self, atoms: List[str]
) -> "Union[_PackageNode, _ExternNode]":
cur = self.root
for i, atom in enumerate(atoms):
node = cur.children.get(atom, None)
if node is None:
node = cur.children[atom] = _PackageNode(None)
if isinstance(node, _ExternNode):
return node
if isinstance(node, _ModuleNode):
name = ".".join(atoms[:i])
raise ImportError(
f"inconsistent module structure. module {name} is not a package, but has submodules"
)
assert isinstance(node, _PackageNode)
cur = node
return cur
def _add_file(self, filename: str):
"""Assembles a Python module out of the given file. Will ignore files in the .data directory.
Args:
filename (str): the name of the file inside of the package archive to be added
"""
*prefix, last = filename.split("/")
if len(prefix) > 1 and prefix[0] == ".data":
return
package = self._get_or_create_package(prefix)
if isinstance(package, _ExternNode):
raise ImportError(
f"inconsistent module structure. package contains a module file {filename}"
f" that is a subpackage of a module marked external."
)
if last == "__init__.py":
package.source_file = filename
elif last.endswith(".py"):
package_name = last[: -len(".py")]
package.children[package_name] = _ModuleNode(filename)
def _add_extern(self, extern_name: str):
*prefix, last = extern_name.split(".")
package = self._get_or_create_package(prefix)
if isinstance(package, _ExternNode):
return # the shorter extern covers this extern case
package.children[last] = _ExternNode()
_NEEDS_LOADING = object()
_ERR_MSG_PREFIX = "No module named "
_ERR_MSG = _ERR_MSG_PREFIX + "{!r}"
class _PathNode:
pass
class _PackageNode(_PathNode):
def __init__(self, source_file: Optional[str]):
self.source_file = source_file
self.children: Dict[str, _PathNode] = {}
class _ModuleNode(_PathNode):
__slots__ = ["source_file"]
def __init__(self, source_file: str):
self.source_file = source_file
class _ExternNode(_PathNode):
pass
# A private global registry of all modules that have been package-imported.
_package_imported_modules: WeakValueDictionary = WeakValueDictionary()
# `inspect` by default only looks in `sys.modules` to find source files for classes.
# Patch it to check our private registry of package-imported modules as well.
_orig_getfile = inspect.getfile
def _patched_getfile(object):
if inspect.isclass(object):
if object.__module__ in _package_imported_modules:
return _package_imported_modules[object.__module__].__file__
return _orig_getfile(object)
inspect.getfile = _patched_getfile
class _PackageResourceReader:
"""Private class used to support PackageImporter.get_resource_reader().
Confirms to the importlib.abc.ResourceReader interface. Allowed to access
the innards of PackageImporter.
"""
def __init__(self, importer, fullname):
self.importer = importer
self.fullname = fullname
def open_resource(self, resource):
from io import BytesIO
return BytesIO(self.importer.load_binary(self.fullname, resource))
def resource_path(self, resource):
# The contract for resource_path is that it either returns a concrete
# file system path or raises FileNotFoundError.
if isinstance(
self.importer.zip_reader, DirectoryReader
) and self.importer.zip_reader.has_record(
os.path.join(self.fullname, resource)
):
return os.path.join(
self.importer.zip_reader.directory, self.fullname, resource
)
raise FileNotFoundError
def is_resource(self, name):
path = self.importer._zipfile_path(self.fullname, name)
return self.importer.zip_reader.has_record(path)
def contents(self):
from pathlib import Path
filename = self.fullname.replace(".", "/")
fullname_path = Path(self.importer._zipfile_path(self.fullname))
files = self.importer.zip_reader.get_all_records()
subdirs_seen = set()
for filename in files:
try:
relative = Path(filename).relative_to(fullname_path)
except ValueError:
continue
# If the path of the file (which is relative to the top of the zip
# namespace), relative to the package given when the resource
# reader was created, has a parent, then it's a name in a
# subdirectory and thus we skip it.
parent_name = relative.parent.name
if len(parent_name) == 0:
yield relative.name
elif parent_name not in subdirs_seen:
subdirs_seen.add(parent_name)
yield parent_name
|