591 lines
27 KiB
Plaintext
591 lines
27 KiB
Plaintext
PEP: 302
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Title: New Import Hooks
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Version: $Revision$
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Last-Modified: $Date$
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Author: Just van Rossum <just@letterror.com>,
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Paul Moore <gustav@morpheus.demon.co.uk>
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Status: Final
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Type: Standards Track
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Content-Type: text/plain
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Created: 19-Dec-2002
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Python-Version: 2.3
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Post-History: 19-Dec-2002
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Abstract
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This PEP proposes to add a new set of import hooks that offer better
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customization of the Python import mechanism. Contrary to the
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current __import__ hook, a new-style hook can be injected into the
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existing scheme, allowing for a finer grained control of how modules
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are found and how they are loaded.
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Motivation
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The only way to customize the import mechanism is currently to
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override the built-in __import__ function. However, overriding
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__import__ has many problems. To begin with:
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- An __import__ replacement needs to *fully* reimplement the entire
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import mechanism, or call the original __import__ before or after
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the custom code.
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- It has very complex semantics and responsibilities.
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- __import__ gets called even for modules that are already in
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sys.modules, which is almost never what you want, unless you're
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writing some sort of monitoring tool.
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The situation gets worse when you need to extend the import
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mechanism from C: it's currently impossible, apart from hacking
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Python's import.c or reimplementing much of import.c from scratch.
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There is a fairly long history of tools written in Python that allow
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extending the import mechanism in various way, based on the
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__import__ hook. The Standard Library includes two such tools:
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ihooks.py (by GvR) and imputil.py (Greg Stein), but perhaps the most
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famous is iu.py by Gordon McMillan, available as part of his
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Installer [1] package. Their usefulness is somewhat limited because
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they are written in Python; bootstrapping issues need to worked
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around as you can't load the module containing the hook with the
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hook itself. So if you want the entire Standard Library to be
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loadable from an import hook, the hook must be written in C.
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Use cases
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This section lists several existing applications that depend on
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import hooks. Among these, a lot of duplicate work was done that
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could have been saved if there had been a more flexible import hook
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at the time. This PEP should make life a lot easier for similar
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projects in the future.
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Extending the import mechanism is needed when you want to load
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modules that are stored in a non-standard way. Examples include
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modules that are bundled together in an archive; byte code that is
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not stored in a pyc formatted file; modules that are loaded from a
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database over a network.
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The work on this PEP was partly triggered by the implementation of
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PEP 273 [2], which adds imports from Zip archives as a built-in
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feature to Python. While the PEP itself was widely accepted as a
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must-have feature, the implementation left a few things to desire.
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For one thing it went through great lengths to integrate itself with
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import.c, adding lots of code that was either specific for Zip file
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imports or *not* specific to Zip imports, yet was not generally
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useful (or even desirable) either. Yet the PEP 273 implementation
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can hardly be blamed for this: it is simply extremely hard to do,
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given the current state of import.c.
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Packaging applications for end users is a typical use case for
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import hooks, if not *the* typical use case. Distributing lots of
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source or pyc files around is not always appropriate (let alone a
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separate Python installation), so there is a frequent desire to
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package all needed modules in a single file. So frequent in fact
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that multiple solutions have been implemented over the years.
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The oldest one is included with the Python source code: Freeze [3].
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It puts marshalled byte code into static objects in C source code.
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Freeze's "import hook" is hard wired into import.c, and has a couple
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of issues. Later solutions include Fredrik Lundh's Squeeze [4],
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Gordon McMillan's Installer [1] and Thomas Heller's py2exe [5].
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MacPython ships with a tool called BuildApplication.
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Squeeze, Installer and py2exe use an __import__ based scheme (py2exe
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currently uses Installer's iu.py, Squeeze used ihooks.py), MacPython
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has two Mac-specific import hooks hard wired into import.c, that are
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similar to the Freeze hook. The hooks proposed in this PEP enables
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us (at least in theory; it's not a short term goal) to get rid of
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the hard coded hooks in import.c, and would allow the
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__import__-based tools to get rid of most of their import.c
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emulation code.
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Before work on the design and implementation of this PEP was
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started, a new BuildApplication-like tool for MacOS X prompted one
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of the authors of this PEP (JvR) to expose the table of frozen
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modules to Python, in the imp module. The main reason was to be
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able to use the freeze import hook (avoiding fancy __import__
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support), yet to also be able to supply a set of modules at
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runtime. This resulted in sf patch #642578 [6], which was
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mysteriously accepted (mostly because nobody seemed to care either
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way ;-). Yet it is completely superfluous when this PEP gets
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accepted, as it offers a much nicer and general way to do the same
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thing.
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Rationale
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While experimenting with alternative implementation ideas to get
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built-in Zip import, it was discovered that achieving this is
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possible with only a fairly small amount of changes to import.c.
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This allowed to factor out the Zip-specific stuff into a new source
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file, while at the same time creating a *general* new import hook
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scheme: the one you're reading about now.
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An earlier design allowed non-string objects on sys.path. Such an
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object would have the necessary methods to handle an import. This
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has two disadvantages: 1) it breaks code that assumes all items on
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sys.path are strings; 2) it is not compatible with the PYTHONPATH
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environment variable. The latter is directly needed for Zip
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imports. A compromise came from Jython: allow string *subclasses*
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on sys.path, which would then act as importer objects. This avoids
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some breakage, and seems to work well for Jython (where it is used
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to load modules from .jar files), but it was perceived as an "ugly
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hack".
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This lead to a more elaborate scheme, (mostly copied from McMillan's
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iu.py) in which each in a list of candidates is asked whether it can
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handle the sys.path item, until one is found that can. This list of
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candidates is a new object in the sys module: sys.path_hooks.
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Traversing sys.path_hooks for each path item for each new import can
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be expensive, so the results are cached in another new object in the
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sys module: sys.path_importer_cache. It maps sys.path entries to
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importer objects.
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To minimize the impact on import.c as well as to avoid adding extra
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overhead, it was chosen to not add an explicit hook and importer
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object for the existing file system import logic (as iu.py has), but
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to simply fall back to the built-in logic if no hook on
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sys.path_hooks could handle the path item. If this is the case, a
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None value is stored in sys.path_importer_cache, again to avoid
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repeated lookups. (Later we can go further and add a real importer
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object for the built-in mechanism, for now, the None fallback scheme
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should suffice.)
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A question was raised: what about importers that don't need *any*
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entry on sys.path? (Built-in and frozen modules fall into that
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category.) Again, Gordon McMillan to the rescue: iu.py contains a
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thing he calls the "metapath". In this PEP's implementation, it's a
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list of importer objects that is traversed *before* sys.path. This
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list is yet another new object in the sys.module: sys.meta_path.
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Currently, this list is empty by default, and frozen and built-in
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module imports are done after traversing sys.meta_path, but still
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before sys.path. (Again, later we can add real frozen, built-in and
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sys.path importer objects on sys.meta_path, allowing for some extra
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flexibility, but this could be done as a "phase 2" project, possibly
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for Python 2.4. It would be the finishing touch as then *every*
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import would go through sys.meta_path, making it the central import
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dispatcher.)
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Specification part 1: The Importer Protocol
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This PEP introduces a new protocol: the "Importer Protocol". It is
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important to understand the context in which the protocol operates,
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so here is a brief overview of the outer shells of the import
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mechanism.
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When an import statement is encountered, the interpreter looks up
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the __import__ function in the built-in name space. __import__ is
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then called with four arguments, amongst which are the name of the
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module being imported (may be a dotted name) and a reference to the
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current global namespace.
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The built-in __import__ function (known as PyImport_ImportModuleEx
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in import.c) will then check to see whether the module doing the
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import is a package or a submodule of a package. If it is indeed a
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(submodule of a) package, it first tries to do the import relative
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to the package (the parent package for a submodule). For example if
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a package named "spam" does "import eggs", it will first look for a
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module named "spam.eggs". If that fails, the import continues as an
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absolute import: it will look for a module named "eggs". Dotted
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name imports work pretty much the same: if package "spam" does
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"import eggs.bacon" (and "spam.eggs" exists and is itself a
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package), "spam.eggs.bacon" is tried. If that fails "eggs.bacon" is
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tried. (There are more subtleties that are not described here, but
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these are not relevant for implementers of the Importer Protocol.)
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Deeper down in the mechanism, a dotted name import is split up by
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its components. For "import spam.ham", first an "import spam" is
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done, and only when that succeeds is "ham" imported as a submodule
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of "spam".
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The Importer Protocol operates at this level of *individual*
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imports. By the time an importer gets a request for "spam.ham",
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module "spam" has already been imported.
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The protocol involves two objects: an importer and a loader. An
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importer object has a single method:
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importer.find_module(fullname, path=None)
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This method will be called with the fully qualified name of the
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module. If the importer is installed on sys.meta_path, it will
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receive a second argument, which is None for a top-level module, or
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package.__path__ for submodules or subpackages[7]. It should return
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a loader object if the module was found, or None if it wasn't. If
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find_module() raises an exception, it will be propagated to the
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caller, aborting the import.
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A loader object also has one method:
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loader.load_module(fullname)
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This method returns the loaded module or raises and exception,
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preferably ImportError if an existing exception is not being
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propagated. If load_module() is asked to load a module that it
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cannot, ImportError is to be raised.
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In many cases the importer and loader can be one and the same
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object: importer.find_module() would just return self.
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The 'fullname' argument of both methods is the fully qualified
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module name, for example "spam.eggs.ham". As explained above, when
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importer.find_module("spam.eggs.ham") is called, "spam.eggs" has
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already been imported and added to sys.modules. However, the
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find_module() method isn't necessarily always called during an
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actual import: meta tools that analyze import dependencies (such as
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freeze, Installer or py2exe) don't actually load modules, so an
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importer shouldn't *depend* on the parent package being available in
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sys.modules.
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The load_module() method has a few responsibilities that it must
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fulfill *before* it runs any code:
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- If there is an existing module object named 'fullname' in
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sys.modules, the loader must use that existing module.
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(Otherwise, the reload() builtin will not work correctly.)
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If a module named 'fullname' does not exist in sys.modules,
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the loader must create a new module object and add it to
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sys.modules.
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In C code, all of these requirements can be met simply by using
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the PyImport_AddModule() function, which returns the existing
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module or creates a new one and adds it to sys.modules for you.
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In Python code, you can use something like:
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module = sys.modules.setdefault(fullname, new.module(fullname))
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to accomplish the same results.
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Note that the module object *must* be in sys.modules before the
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loader executes the module code. This is crucial because the
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module code may (directly or indirectly) import itself; adding
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it to sys.modules beforehand prevents unbounded recursion in the
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worst case and multiple loading in the best.
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- The __file__ attribute must be set. This must be a string, but it
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may be a dummy value, for example "<frozen>". The privilege of
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not having a __file__ attribute at all is reserved for built-in
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modules.
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- The __name__ attribute must be set. If one uses
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imp.new_module() then the attribute is set automatically.
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- If it's a package, the __path__ variable must be set. This must
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be a list, but may be empty if __path__ has no further
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significance to the importer (more on this later).
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- It should add an __loader__ attribute to the module, set to the
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loader object. This is mostly for introspection, but can be used
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for importer-specific extras, for example getting data associated
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with an importer.
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If the module is a Python module (as opposed to a built-in module or
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a dynamically loaded extension), it should execute the module's code
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in the module's global name space (module.__dict__).
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Here is a minimal pattern for a load_module() method:
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def load_module(self, fullname):
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ispkg, code = self._get_code(fullname)
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mod = sys.modules.setdefault(fullname, imp.new_module(fullname))
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mod.__file__ = "<%s>" % self.__class__.__name__
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mod.__loader__ = self
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if ispkg:
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mod.__path__ = []
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exec code in mod.__dict__
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return mod
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Specification part 2: Registering Hooks
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There are two types of import hooks: Meta hooks and Path hooks.
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Meta hooks are called at the start of import processing, before any
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other import processing (so that meta hooks can override sys.path
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processing, or frozen modules, or even built-in modules). To
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register a meta hook, simply add the importer object to
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sys.meta_path (the list of registered meta hooks).
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Path hooks are called as part of sys.path (or package.__path__)
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processing, at the point where their associated path item is
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encountered. A path hook is registered by adding an importer
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factory to sys.path_hooks.
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sys.path_hooks is a list of callables, which will be checked in
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sequence to determine if they can handle a given path item. The
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callable is called with one argument, the path item. The callable
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must raise ImportError if it is unable to handle the path item, and
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return an importer object if it can handle the path item. Note
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that if the callable returns an importer object for a specific
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sys.path entry, the builtin import machinery will not be invoked
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to handle that entry any longer, even if the importer object later
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fails to find a specific module. The callable is typically the
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class of the import hook, and hence the class __init__ method is
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called. (This is also the reason why it should raise ImportError:
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an __init__ method can't return anything. This would be possible
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with a __new__ method in a new style class, but we don't want to
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require anything about how a hook is implemented.)
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The results of path hook checks are cached in
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sys.path_importer_cache, which is a dictionary mapping path entries
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to importer objects. The cache is checked before sys.path_hooks is
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scanned. If it is necessary to force a rescan of sys.path_hooks, it
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is possible to manually clear all or part of
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sys.path_importer_cache.
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Just like sys.path itself, the new sys variables must have specific
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types:
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sys.meta_path and sys.path_hooks must be Python lists.
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sys.path_importer_cache must be a Python dict.
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Modifying these variables in place is allowed, as is replacing them
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with new objects.
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Packages and the role of __path__
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If a module has a __path__ attribute, the import mechanism will
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treat it as a package. The __path__ variable is used instead of
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sys.path when importing submodules of the package. The rules for
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sys.path therefore also apply to pkg.__path__. So sys.path_hooks is
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also consulted when pkg.__path__ is traversed. Meta importers don't
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necessarily use sys.path at all to do their work and may therefore
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ignore the value of pkg.__path__. In this case it is still advised
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to set it to list, which can be empty.
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Optional Extensions to the Importer Protocol
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The Importer Protocol defines two optional extensions. One is to
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retrieve data files, the other is to support module packaging tools
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and/or tools that analyze module dependencies (for example Freeze
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[3]). The latter category of tools usually don't actually *load*
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modules, they only need to know if and where they are available.
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Both extensions are highly recommended for general purpose
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importers, but may safely be left out if those features aren't
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needed.
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To retrieve the data for arbitrary "files" from the underlying
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storage backend, loader objects may supply a method named get_data:
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loader.get_data(path)
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This method returns the data as a string, or raise IOError if the
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"file" wasn't found. The data is always returned as if "binary" mode
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was used - there is no CRLF translation of text files, for example.
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It is meant for importers that have some file-system-like properties.
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The 'path' argument is a path that can be constructed by munging
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module.__file__ (or pkg.__path__ items) with the os.path.* functions,
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for example:
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d = os.path.dirname(__file__)
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data = __loader__.get_data(os.path.join(d, "logo.gif"))
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The following set of methods may be implemented if support for (for
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example) Freeze-like tools is desirable. It consists of three
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additional methods which, to make it easier for the caller, each of
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which should be implemented, or none at all.
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loader.is_package(fullname)
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loader.get_code(fullname)
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loader.get_source(fullname)
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All three methods should raise ImportError if the module wasn't
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found.
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The loader.is_package(fullname) method should return True if the
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module specified by 'fullname' is a package and False if it isn't.
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The loader.get_code(fullname) method should return the code object
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associated with the module, or None if it's a built-in or extension
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module. If the loader doesn't have the code object but it _does_
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have the source code, it should return the compiled source code.
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(This is so that our caller doesn't also need to check get_source()
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if all it needs is the code object.)
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The loader.get_source(fullname) method should return the source code
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for the module as a string (using newline characters for line
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endings) or None if the source is not available (yet it should still
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raise ImportError if the module can't be found by the importer at
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all).
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Integration with the 'imp' module
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The new import hooks are not easily integrated in the existing
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imp.find_module() and imp.load_module() calls. It's questionable
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whether it's possible at all without breaking code; it is better to
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simply add a new function to the imp module. The meaning of the
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existing imp.find_module() and imp.load_module() calls changes from:
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"they expose the built-in import mechanism" to "they expose the
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basic *unhooked* built-in import mechanism". They simply won't
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invoke any import hooks. A new imp module function is proposed (but
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not yet implemented) under the name "get_loader", which is used as
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in the following pattern:
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loader = imp.get_loader(fullname, path)
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if loader is not None:
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loader.load_module(fullname)
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In the case of a "basic" import, one the imp.find_module() function
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would handle, the loader object would be a wrapper for the current
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output of imp.find_module(), and loader.load_module() would call
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imp.load_module() with that output.
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Note that this wrapper is currently not yet implemented, although a
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Python prototype exists in the test_importhooks.py script (the
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ImpWrapper class) included with the patch.
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Forward Compatibility
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Existing __import__ hooks will not invoke new-style hooks by magic,
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unless they call the original __import__ function as a fallback.
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For example, ihooks.py, iu.py and imputil.py are in this sense not
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forward compatible with this PEP.
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Open Issues
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Modules often need supporting data files to do their job,
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particularly in the case of complex packages or full applications.
|
||
Current practice is generally to locate such files via sys.path (or
|
||
a package.__path__ attribute). This approach will not work, in
|
||
general, for modules loaded via an import hook.
|
||
|
||
There are a number of possible ways to address this problem:
|
||
|
||
- "Don't do that". If a package needs to locate data files via its
|
||
__path__, it is not suitable for loading via an import hook. The
|
||
package can still be located on a directory in sys.path, as at
|
||
present, so this should not be seen as a major issue.
|
||
|
||
- Locate data files from a standard location, rather than relative
|
||
to the module file. A relatively simple approach (which is
|
||
supported by distutils) would be to locate data files based on
|
||
sys.prefix (or sys.exec_prefix). For example, looking in
|
||
os.path.join(sys.prefix, "data", package_name).
|
||
|
||
- Import hooks could offer a standard way of getting at data files
|
||
relative to the module file. The standard zipimport object
|
||
provides a method get_data(name) which returns the content of the
|
||
"file" called name, as a string. To allow modules to get at the
|
||
importer object, zipimport also adds an attribute "__loader__"
|
||
to the module, containing the zipimport object used to load the
|
||
module. If such an approach is used, it is important that client
|
||
code takes care not to break if the get_data method (or the
|
||
__loader__ attribute) is not available, so it is not clear that
|
||
this approach offers a general answer to the problem.
|
||
|
||
Requiring loaders to set the module's __loader__ attribute means
|
||
that the loader will not get thrown away once the load is complete.
|
||
This increases memory usage, and stops loaders from being
|
||
lightweight, "throwaway" objects. As loader objects are not
|
||
required to offer any useful functionality (any such functionality,
|
||
such as the zipimport get_data() method mentioned above, is
|
||
optional) it is not clear that the __loader__ attribute will be
|
||
helpful, in practice.
|
||
|
||
On the other hand, importer objects are mostly permanent, as they
|
||
live or are kept alive on sys.meta_path, sys.path_importer_cache, so
|
||
for a loader to keep a reference to the importer costs us nothing
|
||
extra. Whether loaders will ever need to carry so much independent
|
||
state for this to become a real issue is questionable.
|
||
|
||
It was suggested on python-dev that it would be useful to be able to
|
||
receive a list of available modules from an importer and/or a list
|
||
of available data files for use with the get_data() method. The
|
||
protocol could grow two additional extensions, say list_modules()
|
||
and list_files(). The latter makes sense on loader objects with a
|
||
get_data() method. However, it's a bit unclear which object should
|
||
implement list_modules(): the importer or the loader or both?
|
||
|
||
This PEP is biased towards loading modules from alternative places:
|
||
it currently doesn't offer dedicated solutions for loading modules
|
||
from alternative file formats or with alternative compilers. In
|
||
contrast, the ihooks module from the standard library does have a
|
||
fairly straightforward way to do this. The Quixote project [8] uses
|
||
this technique to import PTL files as if they are ordinary Python
|
||
modules. To do the same with the new hooks would either mean to add
|
||
a new module implementing a subset of ihooks as a new-style
|
||
importer, or add a hookable built-in path importer object.
|
||
|
||
There is no specific support within this PEP for "stacking" hooks.
|
||
For example, it is not obvious how to write a hook to load modules
|
||
from ..tar.gz files by combining separate hooks to load modules from
|
||
.tar and ..gz files. However, there is no support for such stacking
|
||
in the existing hook mechanisms (either the basic "replace
|
||
__import__" method, or any of the existing import hook modules) and
|
||
so this functionality is not an obvious requirement of the new
|
||
mechanism. It may be worth considering as a future enhancement,
|
||
however.
|
||
|
||
It is possible (via sys.meta_path) to add hooks which run before
|
||
sys.path is processed. However, there is no equivalent way of
|
||
adding hooks to run after sys.path is processed. For now, if a hook
|
||
is required after sys.path has been processed, it can be simulated
|
||
by adding an arbitrary "cookie" string at the end of sys.path, and
|
||
having the required hook associated with this cookie, via the normal
|
||
sys.path_hooks processing. In the longer term, the path handling
|
||
code will become a "real" hook on sys.meta_path, and at that stage
|
||
it will be possible to insert user-defined hooks either before or
|
||
after it.
|
||
|
||
|
||
Implementation
|
||
|
||
The PEP 302 implementation has been integrated with Python as of
|
||
2.3a1. An earlier version is available as SourceForge patch
|
||
#652586, but more interestingly, the SF item contains a fairly
|
||
detailed history of the development and design.
|
||
http://www.python.org/sf/652586
|
||
|
||
PEP 273 has been implemented using PEP 302's import hooks.
|
||
|
||
|
||
References and Footnotes
|
||
|
||
[1] Installer by Gordon McMillan
|
||
http://www.mcmillan-inc.com/install1.html
|
||
|
||
[2] PEP 273, Import Modules from Zip Archives, Ahlstrom
|
||
http://www.python.org/dev/peps/pep-0273/
|
||
|
||
[3] The Freeze tool
|
||
Tools/freeze/ in a Python source distribution
|
||
|
||
[4] Squeeze
|
||
http://starship.python.net/crew/fredrik/ipa/squeeze.htm
|
||
|
||
[5] py2exe by Thomas Heller
|
||
http://py2exe.sourceforge.net/
|
||
|
||
[6] imp.set_frozenmodules() patch
|
||
http://www.python.org/sf/642578
|
||
|
||
[7] The path argument to importer.find_module() is there because the
|
||
pkg.__path__ variable may be needed at this point. It may either
|
||
come from the actual parent module or be supplied by
|
||
imp.find_module() or the proposed imp.get_loader() function.
|
||
|
||
[8] Quixote, a framework for developing Web applications
|
||
http://www.mems-exchange.org/software/quixote/
|
||
|
||
|
||
Copyright
|
||
|
||
This document has been placed in the public domain.
|
||
|
||
|
||
|
||
Local Variables:
|
||
mode: indented-text
|
||
indent-tabs-mode: nil
|
||
sentence-end-double-space: t
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||
fill-column: 70
|
||
End:
|