Solving problem is about exposing yourself to as many situations as possible like Python circular importing? and practice these strategies over and over. With time, it becomes second nature and a natural way you approach any problems in general. Big or small, always start with a plan, use other strategies mentioned here till you are confident and ready to code the solution.
In this post, my aim is to share an overview the topic about Python circular importing?, which can be followed any time. Take easy to follow this discuss.
So i’m getting this error
Traceback (most recent call last): File "/Users/alex/dev/runswift/utils/sim2014/simulator.py", line 3, in <module> from world import World File "/Users/alex/dev/runswift/utils/sim2014/world.py", line 2, in <module> from entities.field import Field File "/Users/alex/dev/runswift/utils/sim2014/entities/field.py", line 2, in <module> from entities.goal import Goal File "/Users/alex/dev/runswift/utils/sim2014/entities/goal.py", line 2, in <module> from entities.post import Post File "/Users/alex/dev/runswift/utils/sim2014/entities/post.py", line 4, in <module> from physics import PostBody File "/Users/alex/dev/runswift/utils/sim2014/physics.py", line 21, in <module> from entities.post import Post ImportError: cannot import name Post
and you can see that i use the same import statement further up and it works? Is there some unwritten rule about circular importing? How do i use the same class further down the call stack?
I think the answer by jpmc26, while by no means wrong, comes down too heavily on circular imports. They can work just fine, if you set them up correctly.
The easiest way to do so is to use
import my_module syntax, rather than
from my_module import some_object. The former will almost always work, even if
my_module included imports us back. The latter only works if
my_object is already defined in
my_module, which in a circular import may not be the case.
To be specific to your case: Try changing
entities/post.py to do
import physics and then refer to
physics.PostBody rather than just
PostBody directly. Similarly, change
physics.py to do
import entities.post and then use
entities.post.Post rather than just
When you import a module (or a member of it) for the first time, the code inside the module is executed sequentially like any other code; e.g., it is not treated any differently that the body of a function. An
import is just a command like any other (assignment, a function call,
class). Assuming your imports occur at the top of the script, then here’s what’s happening:
- When you try to import
worldscript gets executed.
Field, which causes the
entities.fieldscript to get executed.
- This process continues until you reach the
entities.postscript because you tried to import
physicsmodule to be executed because it tries to import
physicstries to import
- I’m not sure whether the
entities.postmodule exists in memory yet, but it really doesn’t matter. Either the module is not in memory, or the module doesn’t yet have a
Postmember because it hasn’t finished executing to define
- Either way, an error occurs because
Postis not there to be imported
So no, it’s not “working further up in the call stack”. This is a stack trace of where the error occurred, which means it errored out trying to import
Post in that class. You shouldn’t use circular imports. At best, it has negligible benefit (typically, no benefit), and it causes problems like this. It burdens any developer maintaining it, forcing them to walk on egg shells to avoid breaking it. Refactor your module organization.
To understand circular dependencies, you need to remember that Python is essentially a scripting language. Execution of statements outside methods occurs at compile time. Import statements are executed just like method calls, and to understand them you should think about them like method calls.
When you do an import, what happens depends on whether the file you are importing already exists in the module table. If it does, Python uses whatever is currently in the symbol table. If not, Python begins reading the module file, compiling/executing/importing whatever it finds there. Symbols referenced at compile time are found or not, depending on whether they have been seen, or are yet to be seen by the compiler.
Imagine you have two source files:
def X1: return "x1" from Y import Y2 def X2: return "x2"
def Y1: return "y1" from X import X1 def Y2: return "y2"
Now suppose you compile file X.py. The compiler begins by defining the method X1, and then hits the import statement in X.py. This causes the compiler to pause compilation of X.py and begin compiling Y.py. Shortly thereafter the compiler hits the import statement in Y.py. Since X.py is already in the module table, Python uses the existing incomplete X.py symbol table to satisfy any references requested. Any symbols appearing before the import statement in X.py are now in the symbol table, but any symbols after are not. Since X1 now appears before the import statement, it is successfully imported. Python then resumes compiling Y.py. In doing so it defines Y2 and finishes compiling Y.py. It then resumes compilation of X.py, and finds Y2 in the Y.py symbol table. Compilation eventually completes w/o error.
Something very different happens if you attempt to compile Y.py from the command line. While compiling Y.py, the compiler hits the import statement before it defines Y2. Then it starts compiling X.py. Soon it hits the import statement in X.py that requires Y2. But Y2 is undefined, so the compile fails.
Please note that if you modify X.py to import Y1, the compile will always succeed, no matter which file you compile. However if you modify file Y.py to import symbol X2, neither file will compile.
Any time when module X, or any module imported by X might import the current module, do NOT use:
from X import Y
Any time you think there may be a circular import you should also avoid compile time references to variables in other modules. Consider the innocent looking code:
import X z = X.Y
Suppose module X imports this module before this module imports X. Further suppose Y is defined in X after the import statement. Then Y will not be defined when this module is imported, and you will get a compile error. If this module imports Y first, you can get away with it. But when one of your co-workers innocently changes the order of definitions in a third module, the code will break.
In some cases you can resolve circular dependencies by moving an import statement down below symbol definitions needed by other modules. In the examples above, definitions before the import statement never fail. Definitions after the import statement sometimes fail, depending on the order of compilation. You can even put import statements at the end of a file, so long as none of the imported symbols are needed at compile time.
Note that moving import statements down in a module obscures what you are doing. Compensate for this with a comment at the top of your module something like the following:
#import X (actual import moved down to avoid circular dependency)
In general this is a bad practice, but sometimes it is difficult to avoid.
For those of you who, like me, come to this issue from Django, you should know that the docs provide a solution:
“…To refer to models defined in another application, you can explicitly specify a model with the full application label. For example, if the Manufacturer model above is defined in another application called production, you’d need to use:
class Car(models.Model): manufacturer = models.ForeignKey( 'production.Manufacturer', on_delete=models.CASCADE, )
This sort of reference can be useful when resolving circular import dependencies between two applications.…”
I was able to import the module within the function (only) that would require the objects from this module:
def my_func(): import Foo foo_instance = Foo()
If you run into this issue in a fairly complex app it can be cumbersome to refactor all your imports. PyCharm offers a quickfix for this that will automatically change all usage of the imported symbols as well.
I was using the following:
from module import Foo foo_instance = Foo()
but to get rid of
circular reference I did the following and it worked:
import module.foo foo_instance = foo.Foo()