如何卸载（重新加载）Python 模块？

Question

I have a long-running Python server and would like to be able to upgrade a service without restarting the server. What's the best way do do this?

if foo.py has changed:
    unimport foo  <-- How do I do this?
    import foo
    myfoo = foo.Foo()

Answer 1

You can reload a module when it has already been imported by using importlib.reload() :

from importlib import reload  # Python 3.4+
import foo

while True:
    # Do some things.
    if is_changed(foo):
        foo = reload(foo)

In Python 2,reload was a builtin. In Python 3, it was moved to the imp module. In 3.4, imp was deprecated in favor of importlib . When targeting 3 or later, either reference the appropriate module when calling reload or import it.

I think that this is what you want. Web servers like Django's development server use this so that you can see the effects of your code changes without restarting the server process itself.

To quote from the docs:

• Python module's code is recompiled and the module-level code re-executed, defining a new set of objects which are bound to names in the module's dictionary by reusing the loader which originally loaded the module. The init function of extension modules is not called a second time.
• As with all other objects in Python the old objects are only reclaimed after their reference counts drop to zero.
• The names in the module namespace are updated to point to any new or changed objects.
• Other references to the old objects (such as names external to the module) are not rebound to refer to the new objects and must be updated in each namespace where they occur if that is desired.

As you noted in your question, you'll have to reconstruct Foo objects if the Foo class resides in the foo module.

Answer 2

In Python 3.0–3.3 you would use: imp.reload(module)

The BDFL has answered this question.

However, imp was deprecated in 3.4, in favour of importlib (thanks @Stefan! ).

I think , therefore, you'd now use importlib.reload(module) , although I'm not sure.

Answer 3

It can be especially difficult to delete a module if it is not pure Python.

Here is some information from: How do I really delete an imported module?

You can use sys.getrefcount() to find out the actual number of references.

>>> import sys, empty, os
>>> sys.getrefcount(sys)
9
>>> sys.getrefcount(os)
6
>>> sys.getrefcount(empty)
3

Numbers greater than 3 indicate that it will be hard to get rid of the module. The homegrown "empty" (containing nothing) module should be garbage collected after

>>> del sys.modules["empty"]
>>> del empty

as the third reference is an artifact of the getrefcount() function.

Answer 4

reload(module) , but only if it's completely stand-alone. If anything else has a reference to the module (or any object belonging to the module), then you'll get subtle and curious errors caused by the old code hanging around longer than you expected, and things like isinstance not working across different versions of the same code.

If you have one-way dependencies, you must also reload all modules that depend on the reloaded module to get rid of all the references to the old code. And then reload modules that depend on the reloaded modules, recursively.

If you have circular dependencies, which is very common for example when you are dealing with reloading a package, you must unload all the modules in the group in one go. You can't do this with reload() because it will re-import each module before its dependencies have been refreshed, allowing old references to creep into new modules.

The only way to do it in this case is to hack sys.modules , which is kind of unsupported. You'd have to go through and delete each sys.modules entry you wanted to be reloaded on next import, and also delete entries whose values are None to deal with an implementation issue to do with caching failed relative imports. It's not terribly nice but as long as you have a fully self-contained set of dependencies that doesn't leave references outside its codebase, it's workable.

It's probably best to restart the server. :-)

Answer 5

For Python 2 use built-in function reload :

reload(module)

For Python 2 and Python 3.2 — 3.3 use reload from module imp :

import imp
imp.reload(module)

For Python ≥ 3.4 , imp is deprecated in favor of importlib , so use this:

import importlib
importlib.reload(module)

or:

from importlib import reload
reload(module)

---

TL;DR:

Python ≥ 3.4: importlib.reload(module)
Python 3.2 — 3.3: imp.reload(module)
Python 2: reload(module)

Answer 6

if 'myModule' in sys.modules:  
    del sys.modules["myModule"]

Answer 7

The following code allows you Python 2/3 compatibility:

try:
    reload
except NameError:
    # Python 3
    from imp import reload

The you can use it as reload() in both versions which makes things simpler.

Answer 8

The accepted answer doesn't handle the from X import Y case. This code handles it and the standard import case as well:

def importOrReload(module_name, *names):
    import sys

    if module_name in sys.modules:
        reload(sys.modules[module_name])
    else:
        __import__(module_name, fromlist=names)

    for name in names:
        globals()[name] = getattr(sys.modules[module_name], name)

# use instead of: from dfly_parser import parseMessages
importOrReload("dfly_parser", "parseMessages")

In the reloading case, we reassign the top level names to the values stored in the newly reloaded module, which updates them.

Answer 9

If you are not in a server, but developing and need to frequently reload a module, here's a nice tip.

First, make sure you are using the excellent IPython shell , from the Jupyter Notebook project. After installing Jupyter, you can start it with ipython , or jupyter console , or even better, jupyter qtconsole , which will give you a nice colorized console with code completion in any OS.

Now in your shell, type:

%load_ext autoreload
%autoreload 2

Now, every time you run your script, your modules will be reloaded.

Beyond the 2 , there are other options of the autoreload magic :

%autoreload
Reload all modules (except those excluded by %aimport) automatically now.

%autoreload 0
Disable automatic reloading.

%autoreload 1
Reload all modules imported with %aimport every time before executing the Python code typed.

%autoreload 2
Reload all modules (except those excluded by %aimport) every time before
executing the Python code typed.

Sure, it will also work on a Jupyter Notebook.

Answer 10

This is the modern way of reloading a module:

from importlib import reload

If you want to support versions of Python older than 3.5, use this:

from sys import version_info
if version_info[0] < 3:
    pass # Python 2 has built in reload
elif version_info[0] == 3 and version_info[1] <= 4:
    from imp import reload # Python 3.0 - 3.4 
else:
    from importlib import reload # Python 3.5+

This defines a reload method which can be called with a module to reload it. For example, reload(math) will reload the math module.

Answer 11

For those like me who want to unload all modules (when running in the Python interpreter under Emacs ):

   for mod in sys.modules.values():
      reload(mod)

More information is in Reloading Python modules .

Answer 12

Edit (Answer V2)

The solution from before is good for just getting the reset information, but it will not change all the references (more than reload but less then required). To actually set all the references as well, I had to go into the garbage collector, and rewrite the references there. Now it works like a charm!

Note that this will not work if the GC is turned off, or if reloading data that's not monitored by the GC. If you don't want to mess with the GC, the original answer might be enough for you.

New code:

import importlib
import inspect
import gc
from enum import EnumMeta
from weakref import ref


_readonly_attrs = {'__annotations__', '__call__', '__class__', '__closure__', '__code__', '__defaults__', '__delattr__',
               '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__func__', '__ge__', '__get__',
               '__getattribute__', '__globals__', '__gt__', '__hash__', '__init__', '__init_subclass__',
               '__kwdefaults__', '__le__', '__lt__', '__module__', '__name__', '__ne__', '__new__', '__qualname__',
               '__reduce__', '__reduce_ex__', '__repr__', '__self__', '__setattr__', '__sizeof__', '__str__',
               '__subclasshook__', '__weakref__', '__members__', '__mro__', '__itemsize__', '__isabstractmethod__',
               '__basicsize__', '__base__'}


def reset_module(module, inner_modules_also=True):
    """
    This function is a stronger form of importlib's `reload` function. What it does, is that aside from reloading a
    module, it goes to the old instance of the module, and sets all the (not read-only) attributes, functions and classes
    to be the reloaded-module's
    :param module: The module to reload (module reference, not the name)
    :param inner_modules_also: Whether to treat ths module as a package as well, and reload all the modules within it.
    """

    # For the case when the module is actually a package
    if inner_modules_also:
        submods = {submod for _, submod in inspect.getmembers(module)
                   if (type(submod).__name__ == 'module') and (submod.__package__.startswith(module.__name__))}
        for submod in submods:
            reset_module(submod, True)

    # First, log all the references before reloading (because some references may be changed by the reload operation).
    module_tree = _get_tree_references_to_reset_recursively(module, module.__name__)

    new_module = importlib.reload(module)
    _reset_item_recursively(module, module_tree, new_module)


def _update_referrers(item, new_item):
    refs = gc.get_referrers(item)

    weak_ref_item = ref(item)
    for coll in refs:
        if type(coll) == dict:
            enumerator = coll.keys()
        elif type(coll) == list:
            enumerator = range(len(coll))
        else:
            continue

        for key in enumerator:

            if weak_ref_item() is None:
                # No refs are left in the GC
                return

            if coll[key] is weak_ref_item():
                coll[key] = new_item

def _get_tree_references_to_reset_recursively(item, module_name, grayed_out_item_ids = None):
    if grayed_out_item_ids is None:
        grayed_out_item_ids = set()

    item_tree = dict()
    attr_names = set(dir(item)) - _readonly_attrs
    for sub_item_name in attr_names:

        sub_item = getattr(item, sub_item_name)
        item_tree[sub_item_name] = [sub_item, None]

        try:
            # Will work for classes and functions defined in that module.
            mod_name = sub_item.__module__
        except AttributeError:
            mod_name = None

        # If this item was defined within this module, deep-reset
        if (mod_name is None) or (mod_name != module_name) or (id(sub_item) in grayed_out_item_ids) \
                or isinstance(sub_item, EnumMeta):
            continue

        grayed_out_item_ids.add(id(sub_item))
        item_tree[sub_item_name][1] = \
            _get_tree_references_to_reset_recursively(sub_item, module_name, grayed_out_item_ids)

    return item_tree


def _reset_item_recursively(item, item_subtree, new_item):

    # Set children first so we don't lose the current references.
    if item_subtree is not None:
        for sub_item_name, (sub_item, sub_item_tree) in item_subtree.items():

            try:
                new_sub_item = getattr(new_item, sub_item_name)
            except AttributeError:
                # The item doesn't exist in the reloaded module. Ignore.
                continue

            try:
                # Set the item
                _reset_item_recursively(sub_item, sub_item_tree, new_sub_item)
            except Exception as ex:
                pass

    _update_referrers(item, new_item)

Original Answer

As written in @bobince's answer, if there's already a reference to that module in another module (especially if it was imported with the as keyword like import numpy as np ), that instance will not be overwritten.

This proved quite problematic to me when applying tests that required a "clean-slate" state of the configuration modules, so I've written a function named reset_module that uses importlib 's reload function and recursively overwrites all the declared module's attributes. It has been tested with Python version 3.6.

import importlib
import inspect
from enum import EnumMeta

_readonly_attrs = {'__annotations__', '__call__', '__class__', '__closure__', '__code__', '__defaults__', '__delattr__',
               '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__func__', '__ge__', '__get__',
               '__getattribute__', '__globals__', '__gt__', '__hash__', '__init__', '__init_subclass__',
               '__kwdefaults__', '__le__', '__lt__', '__module__', '__name__', '__ne__', '__new__', '__qualname__',
               '__reduce__', '__reduce_ex__', '__repr__', '__self__', '__setattr__', '__sizeof__', '__str__',
               '__subclasshook__', '__weakref__', '__members__', '__mro__', '__itemsize__', '__isabstractmethod__',
               '__basicsize__', '__base__'}


def reset_module(module, inner_modules_also=True):
    """
    This function is a stronger form of importlib's `reload` function. What it does, is that aside from reloading a
    module, it goes to the old instance of the module, and sets all the (not read-only) attributes, functions and classes
    to be the reloaded-module's
    :param module: The module to reload (module reference, not the name)
    :param inner_modules_also: Whether to treat ths module as a package as well, and reload all the modules within it.
    """

    new_module = importlib.reload(module)

    reset_items = set()

    # For the case when the module is actually a package
    if inner_modules_also:
        submods = {submod for _, submod in inspect.getmembers(module)
                   if (type(submod).__name__ == 'module') and (submod.__package__.startswith(module.__name__))}
        for submod in submods:
            reset_module(submod, True)

    _reset_item_recursively(module, new_module, module.__name__, reset_items)


def _reset_item_recursively(item, new_item, module_name, reset_items=None):
    if reset_items is None:
        reset_items = set()

    attr_names = set(dir(item)) - _readonly_attrs

    for sitem_name in attr_names:

        sitem = getattr(item, sitem_name)
        new_sitem = getattr(new_item, sitem_name)

        try:
            # Set the item
            setattr(item, sitem_name, new_sitem)

            try:
                # Will work for classes and functions defined in that module.
                mod_name = sitem.__module__
            except AttributeError:
                mod_name = None

            # If this item was defined within this module, deep-reset
            if (mod_name is None) or (mod_name != module_name) or (id(sitem) in reset_items) \
                    or isinstance(sitem, EnumMeta):  # Deal with enums
                continue

            reset_items.add(id(sitem))
            _reset_item_recursively(sitem, new_sitem, module_name, reset_items)
        except Exception as ex:
            raise Exception(sitem_name) from ex

Note: Use with care! Using these on non-peripheral modules (modules that define externally-used classes, for example) might lead to internal problems in Python (such as pickling/un-pickling issues).

Answer 13

Enthought Traits has a module that works fairly well for this. https://traits.readthedocs.org/en/4.3.0/_modules/traits/util/refresh.html

It will reload any module that has been changed, and update other modules and instanced objects that are using it. It does not work most of the time with __very_private__ methods, and can choke on class inheritance, but it saves me crazy amounts of time from having to restart the host application when writing PyQt guis, or stuff that runs inside programs such as Maya or Nuke. It doesn't work maybe 20-30 % of the time, but it's still incredibly helpful.

Enthought's package doesn't reload files the moment they change - you have to call it explicitely - but that shouldn't be all that hard to implement if you really need it

Answer 14

Other option. See that Python default importlib.reload will just reimport the library passed as an argument. It won't reload the libraries that your lib import. If you changed a lot of files and have a somewhat complex package to import, you must do a deep reload .

If you have IPython or Jupyter installed, you can use a function to deep reload all libs:

from IPython.lib.deepreload import reload as dreload
dreload(foo)

If you don't have Jupyter, install it with this command in your shell:

pip3 install jupyter

Answer 15

Those who are using python 3 and reload from importlib.

If you have problems like it seems that module doesn't reload... That is because it needs some time to recompile pyc (up to 60 sec).I writing this hint just that you know if you have experienced this kind of problem.

Answer 16

2018-02-01

1. module foo must be imported successfully in advance.
2. from importlib import reload , reload(foo)

31.5. importlib — The implementation of import — Python 3.6.4 documentation

Answer 17

for me for case of Abaqus it is the way it works. Imagine your file is Class_VerticesEdges.py

sys.path.append('D:\...\My Pythons')
if 'Class_VerticesEdges' in sys.modules:  
    del sys.modules['Class_VerticesEdges']
    print 'old module Class_VerticesEdges deleted'
from Class_VerticesEdges import *
reload(sys.modules['Class_VerticesEdges'])

Answer 18

If you encounter the following error, this answer may help you to get a solution:

 Traceback (most recent call last): 
 File "FFFF", line 1, in  
NameError: name 'YYYY' is not defined 

OR

Traceback (most recent call last):
 File "FFFF", line 1, in 
 File "/usr/local/lib/python3.7/importlib/__init__.py", line 140, in reload
   raise TypeError("reload() argument must be a module") 
TypeError: reload() argument must be a module 

In case you have an import like the one below, you may need to use the sys.modules to get the module you want to reload:

  import importlib
  import sys

  from YYYY.XXX.ZZZ import CCCC
  import AAA.BBB.CC


  def reload(full_name)
    if full_name in sys.modules:
      importlib.reload(sys.modules[full_name])


  reload('YYYY.XXX.ZZZ') # this is fine in both cases
  reload('AAA.BBB.CC')  

  importlib.reload(YYYY.XXX.ZZZ) # in my case: this fails
  importlib.reload(AAA.BBB.CC)   #             and this is ok

The main issue is that the importlib.reload accepts module only not string.

Answer 19

Removing modules from sys.modules requires 'None' types to be deleted as well.

Method 1:

import sys
import json  ##  your module

for mod in [ m for m in sys.modules if m.lstrip('_').startswith('json') or sys.modules[m] == None ]: del sys.modules[mod]

print( json.dumps( [1] ) )  ##  test if functionality has been removed

Method 2, using bookkeeping entries, to remove all dependencies:

import sys

before_import = [mod for mod in sys.modules]
import json  ##  your module
after_import = [mod for mod in sys.modules if mod not in before_import]

for mod in [m for m in sys.modules if m in after_import or sys.modules[m] == None]: del sys.modules[mod]

print( json.dumps( [2] ) )  ##  test if functionality has been removed

Optional, just to be certain all entries are out, if you so choose:

import gc
gc.collect()

Answer 20

Python will not re-calculate submodule address when reload , event if it is in sys.modules

Here is a workaround, not perfect but worked.

# Created by BaiJiFeiLong@gmail.com at 2022/2/19 18:50
import importlib
import types

import urllib.parse
import urllib.request


def reloadModuleWithChildren(mod):
    mod = importlib.reload(mod)
    for k, v in mod.__dict__.items():
        if isinstance(v, types.ModuleType):
            setattr(mod, k, importlib.import_module(v.__name__))


fakeParse = types.ModuleType("urllib.parse")
realParse = urllib.parse

urllib.parse = fakeParse
assert urllib.parse is fakeParse

importlib.reload(urllib)
assert urllib.parse is fakeParse
assert getattr(urllib, "parse") is fakeParse

reloadModuleWithChildren(urllib)
assert urllib.parse is not fakeParse
assert urllib.parse is realParse

Answer 21

Another way could be to import the module in a function. This way when the function completes the module gets garbage collected.

Answer 22

I got a lot of trouble trying to reload something inside Sublime Text, but finally I could wrote this utility to reload modules on Sublime Text based on the code sublime_plugin.py uses to reload modules.

This below accepts you to reload modules from paths with spaces on their names, then later after reloading you can just import as you usually do.

def reload_module(full_module_name):
    """
        Assuming the folder `full_module_name` is a folder inside some
        folder on the python sys.path, for example, sys.path as `C:/`, and
        you are inside the folder `C:/Path With Spaces` on the file 
        `C:/Path With Spaces/main.py` and want to re-import some files on
        the folder `C:/Path With Spaces/tests`

        @param full_module_name   the relative full path to the module file
                                  you want to reload from a folder on the
                                  python `sys.path`
    """
    import imp
    import sys
    import importlib

    if full_module_name in sys.modules:
        module_object = sys.modules[full_module_name]
        module_object = imp.reload( module_object )

    else:
        importlib.import_module( full_module_name )

def run_tests():
    print( "\n\n" )
    reload_module( "Path With Spaces.tests.semantic_linefeed_unit_tests" )
    reload_module( "Path With Spaces.tests.semantic_linefeed_manual_tests" )

    from .tests import semantic_linefeed_unit_tests
    from .tests import semantic_linefeed_manual_tests

    semantic_linefeed_unit_tests.run_unit_tests()
    semantic_linefeed_manual_tests.run_manual_tests()

if __name__ == "__main__":
    run_tests()

If you run for the first time, this should load the module, but if later you can again the method/function run_tests() it will reload the tests files. With Sublime Text ( Python 3.3.6 ) this happens a lot because its interpreter never closes (unless you restart Sublime Text, ie, the Python3.3 interpreter).