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Circular (or cyclic) imports in Python

People also ask

Does Python allow circular imports?

also just as a reference, it seems circular imports are allowed on python 3.5 (and probably beyond) but not 3.4 (and probably bellow).

What are the two types of import in Python?

There are generally three groups: standard library imports (Python's built-in modules) related third party imports (modules that are installed and do not belong to the current application) local application imports (modules that belong to the current application)

How do you avoid circular import errors?

Changing the name of the Working file different from the module which is imported in the script can avoid the Circular Imports problem. Import the module: Avoid importing objects or functions from a module that can cause Circular Imports. It is good to import the whole module to avoid the Circular Import.

How do you avoid most likely due to a circular import in Python?

You can, however, use the imported module inside functions and code blocks that don't get run on import. Generally, in most valid cases of circular dependencies, it's possible to refactor or reorganize the code to prevent these errors and move module references inside a code block.


If you do import foo (inside bar.py) and import bar (inside foo.py), it will work fine. By the time anything actually runs, both modules will be fully loaded and will have references to each other.

The problem is when instead you do from foo import abc (inside bar.py) and from bar import xyz (inside foo.py). Because now each module requires the other module to already be imported (so that the name we are importing exists) before it can be imported.


There was a really good discussion on this over at comp.lang.python last year. It answers your question pretty thoroughly.

Imports are pretty straightforward really. Just remember the following:

'import' and 'from xxx import yyy' are executable statements. They execute when the running program reaches that line.

If a module is not in sys.modules, then an import creates the new module entry in sys.modules and then executes the code in the module. It does not return control to the calling module until the execution has completed.

If a module does exist in sys.modules then an import simply returns that module whether or not it has completed executing. That is the reason why cyclic imports may return modules which appear to be partly empty.

Finally, the executing script runs in a module named __main__, importing the script under its own name will create a new module unrelated to __main__.

Take that lot together and you shouldn't get any surprises when importing modules.


Cyclic imports terminate, but you need to be careful not to use the cyclically-imported modules during module initialization.

Consider the following files:

a.py:

print "a in"
import sys
print "b imported: %s" % ("b" in sys.modules, )
import b
print "a out"

b.py:

print "b in"
import a
print "b out"
x = 3

If you execute a.py, you'll get the following:

$ python a.py
a in
b imported: False
b in
a in
b imported: True
a out
b out
a out

On the second import of b.py (in the second a in), the Python interpreter does not import b again, because it already exists in the module dict.

If you try to access b.x from a during module initialization, you will get an AttributeError.

Append the following line to a.py:

print b.x

Then, the output is:

$ python a.py
a in                    
b imported: False
b in
a in
b imported: True
a out
Traceback (most recent call last):
  File "a.py", line 4, in <module>
    import b
  File "/home/shlomme/tmp/x/b.py", line 2, in <module>
    import a
 File "/home/shlomme/tmp/x/a.py", line 7, in <module>
    print b.x
AttributeError: 'module' object has no attribute 'x'

This is because modules are executed on import and at the time b.x is accessed, the line x = 3 has not be executed yet, which will only happen after b out.


As other answers describe this pattern is acceptable in python:

def dostuff(self):
     from foo import bar
     ...

Which will avoid the execution of the import statement when the file is imported by other modules. Only if there is a logical circular dependency, this will fail.

Most Circular Imports are not actually logical circular imports but rather raise ImportError errors, because of the way import() evaluates top level statements of the entire file when called.

These ImportErrors can almost always be avoided if you positively want your imports on top:

Consider this circular import:

App A

# profiles/serializers.py

from images.serializers import SimplifiedImageSerializer

class SimplifiedProfileSerializer(serializers.Serializer):
    name = serializers.CharField()

class ProfileSerializer(SimplifiedProfileSerializer):
    recent_images = SimplifiedImageSerializer(many=True)

App B

# images/serializers.py

from profiles.serializers import SimplifiedProfileSerializer

class SimplifiedImageSerializer(serializers.Serializer):
    title = serializers.CharField()

class ImageSerializer(SimplifiedImageSerializer):
    profile = SimplifiedProfileSerializer()

From David Beazleys excellent talk Modules and Packages: Live and Let Die! - PyCon 2015, 1:54:00, here is a way to deal with circular imports in python:

try:
    from images.serializers import SimplifiedImageSerializer
except ImportError:
    import sys
    SimplifiedImageSerializer = sys.modules[__package__ + '.SimplifiedImageSerializer']

This tries to import SimplifiedImageSerializer and if ImportError is raised, because it already is imported, it will pull it from the importcache.

PS: You have to read this entire post in David Beazley's voice.


Module a.py :

import b
print("This is from module a")

Module b.py

import a
print("This is from module b")

Running "Module a" will output:

>>> 
'This is from module a'
'This is from module b'
'This is from module a'
>>> 

It output this 3 lines while it was supposed to output infinitival because of circular importing. What happens line by line while running"Module a" is listed here:

  1. The first line is import b. so it will visit module b
  2. The first line at module b is import a. so it will visit module a
  3. The first line at module a is import b but note that this line won't be executed again anymore, because every file in python execute an import line just for once, it does not matter where or when it is executed. so it will pass to the next line and print "This is from module a".
  4. After finish visiting whole module a from module b, we are still at module b. so the next line will print "This is from module b"
  5. Module b lines are executed completely. so we will go back to module a where we started module b.
  6. import b line have been executed already and won't be executed again. the next line will print "This is from module a" and program will be finished.

I got an example here that struck me!

foo.py

import bar

class gX(object):
    g = 10

bar.py

from foo import gX

o = gX()

main.py

import foo
import bar

print "all done"

At the command line: $ python main.py

Traceback (most recent call last):
  File "m.py", line 1, in <module>
    import foo
  File "/home/xolve/foo.py", line 1, in <module>
    import bar
  File "/home/xolve/bar.py", line 1, in <module>
    from foo import gX
ImportError: cannot import name gX