Suppose I have the following directory structure:
workspace/
__init__.py
ys_manage/
__init__.py
manage.py
ys_utils/
__init__.py
project_dicts.py
Now, suppose I need access to project_dicts.py in manage.py. Also, my $PATH includes /home/rico/workspace/ys_manage.
I need to be able to run manage.py from any directory on my machine and still be able to access project_dicts.py.
My $PYTHONPATH only has /home/rico/workspace.
If I include the following in manage.py I can run the file from ~/workspace/ys_manage but not anywhere else.
import sys
sys.path.append('..')
from ys_utils import project_dicts
It appears that the '..' gives a relative path to where the directory where the file is run, not where the file is located. Is this correct?
I wanted to try and use ys_manage/__init__.py to import project_dicts.py so that it would be available in manage.py universally. Is this a good idea?
I've never used __init__.py for anything other than a "package creator". That is, I've never used it for initialization purposes. Perhaps I'm doing it wrong.
Contents of ys_manage/__init__.py:
import sys
sys.path.append('..')
from ys_utils import project_dicts
Should I include something in manage.py to look for this import?
When I try and run manage.py I get the following error:
NameError: global name 'project_dicts' is not defined
As a secondary question, do I need to have workspace/__init__.py? I'd really rather not have it because ys_manage and ys_utils (and about a dozen other packages) are all under revision control and used by several other developers...workspace is not.
Generally, I've found trying to use relative paths for imports dangerous and very error prone. I'd suggest just putting workspace on your PYTHONPATH (or adding it programatically in __init__.py) and importing everything relative to that static location. It will make your code more easily readable too, as you'll be able to track down where imports are coming from much more quickly and clearly.
Try this instead of sys.path.append('..'):
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
(you'll need to import both sys and os).
Related
I want to ask you something that came to my mind doing some stuff.
I have the following structure:
src
- __init__.py
- class1.py
+ folder2
- __init__.py
- class2.py
I class2.py I want to import class1 to use it. Obviously, I cannot use
from src.class1 import Class1
cause it will produce an error. A workaround that works to me is to define the following in the __init__.py inside folder2:
import sys
sys.path.append('src')
My question is if this option is valid and a good idea to use or maybe there are better solutions.
Another question. Imagine that the project structure is:
src
- __init__.py
- class1.py
+ folder2
- __init__.py
- class2.py
+ errorsFolder
- __init__.py
- errors.py
In class1:
from errorsFolder.errors import Errors
this works fine. But if I try to do in class2 which is at the same level than errorsFolder:
from src.errorsFolder.errors import Errors
It fails (ImportError: No module named src.errorsFolder.errors)
Thank you in advance!
Despite the fact that it's slightly shocking to have to import a "parent" module in your package, your workaround depends on the current directory you're running your application, which is bad.
import sys
sys.path.append('src')
should be
import sys,os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)),os.pardir))
to add the parent directory of the directory of your current module, regardless of the current directory you're running your application from (your module may be imported by several applications, which don't all require to be run in the same directory)
One correct way to solve this is to set the environment variable PYTHONPATH to the path which contains src. Then import src.class1 will always work, regardless of which directory you start in.
from ..class1 import Class1 should work (at least it does here in a similar layout, using python 2.7.x).
As a general rule: messing with sys.path is usually a very bad idea, specially if this allows a same module to be imported from two different paths (which would be the case with your files layout).
Also, you may want to think twice about your current layout. Python is not Java and doesn't require (nor even encourage) a "one class per module" approach. If both classes need to work together, they might be better in a same module, or at least in modules at the same level in the package tree (note that you can use the top-level package's __init__ as a facade to provide direct access to objects defined in submodules / subpackages). NB : I'm not saying that your current layout is necessarily wrong, just that it might not be the simplest one.
There is also a solution that does not involve the use of the environment variable PYTHONPATH.
In src/ create setup.py with these contents:
from setuptools import setup
setup()
Now you can do pip install -e /path/to/src and import to your hearts content.
-e, --editable <path/url> Install a project in editable mode (i.e. setuptools "develop mode") from a local project path or a VCS url.
No, Its not good. Python takes modules in two ways:
Python looks for its modules and packages in $PYTHONPATH.
Refer: https://docs.python.org/2/using/cmdline.html#envvar-PYTHONPATH
To find out what is included in $PYTHONPATH, run the following code in python (3):
import sys
print(sys.path)
all folder containing init.py are marked as python package.(if they are subdirectories under PYTHONPATH)
By help of these two ways you can full-fill the need to create a python project.
I have a python project structured like this:
repo_dir/
----project_package/
--------__init__.py
--------process.py
--------config.py
----tests/
--------test_process.py
__init__.py is empty
config.py looks like this:
name = 'brian'
USAGE
I use the library by running python process.py from the project/project/ directory, or by specifying the python file path absolutely. I'm running Python 2.7 on Amazon EC2 Linux.
When process.py looks like below, everything works fine and process.py prints brian.
import config
print config.name
When process.py looks like below, I get the error ImportError: No module named project.config.
import project.config
print config.name
When process.py looks like below, I get the error ImportError: No module named project. This makes sense as the same behavior from the previous example should be expected.
from project import config
print config.name
If I add these lines to process.py to include the library root in sys.path, all configurations above, work fine.
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
MY CONFUSION
Many resources suggest setting up python libraries to import modules using project.module_name, but it doesn't seem like sys.path appending is standard, and seems weird that I need it. I can see that the sys.path append added my library root as a path in sys, but I thought that's what the __init__.py in my library root was supposed to do. What gives? What am I missing? I know Python importing creates lots of headaches so I've tried to simplify this as much as possible to wrap my head around it. I'm going crazy and it's Friday before a holiday. I'm bummed. Please help!!
QUESTIONS
How should I set up my libraries? How should I import packages? Where should I have __init__.py files? Do I need to append my library root to sys.path in every project? Why is this so confusing?
Your project setup is alright. I renamed the directories just for clarity
in this example, but the structure is the same as yours:
repo_dir/
project_package/
__init__.py
process.py
config.py
# Declare your project in a setup.py file, so that
# it will be installable, both by users and by you.
setup.py
When you have a module that wants to import from another module in
the same project, the best approach is to use relative imports. For example:
# In process.py
from .config import name
...
While working on the code on your dev box, do your work in a Python virtualenv,
and pip install your project in "editable" mode.
# From the root of your repo:
pip install -e .
With that approach, you'll never need to muck around with sys.path -- which
is almost always the wrong approach.
I think the problem is how you're running your script. If you want the script to be living in a package (the inner project folder), you should run it with python -m project.process, rather than by filename. Then you can make absolute or explicit relative imports to get config from process.
An absolute import would be from project import config or import project.config.
An explicit relative import would be from . import config.
Python 2 also allows implicit relative imports, but they're a really bad misfeature that you should never use. With implicit relative imports, internal package modules can shadow top-level modules. For instance, a project/json.py file would hide the standard library's json module from all the other modules in the package. You can tell Python you want to forbid implicit relative imports by putting from __future__ import absolute_import at the top of the file. It's the standard behavior in Python 3.
I have a project with the following file structure:
root/
run.py
bot/
__init__.py
my_discord_bot.py
dice/
__init__.py
dice.py
# dice files
help/
__init__.py
help.py
# help files
parser/
__init__.py
parser.py
# other parser files
The program is run from within the root directory by calling python run.py. run.py imports bot.my_discord_bot and then makes use of a class defined there.
The file bot/my_discord_bot.py has the following import statements:
import dice.dice as d
import help.help as h
import parser.parser as p
On Linux, all three import statements execute correctly. On Windows, the first two seem to execute fine, but then on the third I'm told:
ImportError: No module named 'parser.parser'; 'parser' is not a package
Why does it break on the third import statement, and why does it only break on Windows?
Edit: clarifies how the program is run
Make sure that your parser is not shadowing a built-in or third-party package/module/library.
I am not 100% sure about the specifics of how this name conflict would be resolved, but it seems like you can potentially a). have your module overridden by the existing module (which seems like it might be happening in your Windows case), or b). override the existing module, which could cause bugs down the road. It seems like b is what commonly trips people up.
If you think this might be happening with one of your modules (which seems fairly likely with a name like parser), try renaming your module.
See this very nice article for more details and more common Python "import traps".
Put run.py outside root folder, so you'll have run.py next to root folder, then create __init__.py inside root folder, and change imports to:
import root.parser.parser as p
Or just rename your parser module.
Anyway you should be careful with naming, because you can simply mess your own stuff someday.
I am writing a Python (Python3) application (not a package) and have some doubts about the correct directory structure. At the moment I have this:
myapp/
__init__.py
launch.py
core/
__init__.py
some_core_class.py
other_core_class.py
gui/
__init__.py
some_gui_class.py
other_gui_class.py
I want the application to be started with python launch.py from any place in my directory structure - of course with prepending the correct path to launch.py, e.g. python myapps/myapp/launch.py.
Inside my modules I use absolute imports, e.g. in some_core_class.py I write from myapp.core.other_core_class import OtherCoreClass. I use the same way in launch.py, e.g. from myapp.core.some_core_class import SomeCoreClass.
But then launching it for example directly from dir myapp by writing python launch.py results in ImportError: No module named 'myapp'. I found I could make it work by changing my import in launch.py to from core.some_core_class import SomeCoreClass but this does not seem to me as a correct absolute import and is inconsistent with imports in other files.
What is the best way to solve my issue? I would like to avoid adding myapp to PATH environment variable which would require manual edit by the user or an installer. How should I change my code or my imports to make the application launchable from anywhere? Is that even possible?
I have just found, I can solve it by prepending
import os
import sys
app_parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(app_parent_dir)
at the very beginning of my launch.py. But this is so ugly and feels like a hack. There must be a better way. Python should not be ugly. Awaiting for better answers...
I have been looking for a way to solve this.
I have a python project, and this is the folder structure I want:
/project/main.py
/project/src/models.py
/project/test/tests.py
I want to be able to run the tests by executing the tests.py in terminal. tests.py imports modules in /project/src/ for testing. First I solved this by adding
sys.path.insert(0, '..') in tests.py. But then the paths used in models.py for opening text files had to be relative to the tests.py, etc. Which means the program wouldn't run when excecuted from main.py, cause of the paths.
I also tried with dots when importing modules into tests.py, like from ..src.models import *, but that gave error message saying "Attempted relative import in non-package".
What should I put in the top of tests.py to be able to import the modules from models.py?
The structure you're using is not one I would recommend, but I'm a comparaitive newb to how Python projects are usually structured. I believe this will do what you're after:
1) Place an __init__.py file inside /project, /project/src, and /project/test to make sure they're treated as packages.
2) Place from __future__ import absolute_import at the top of each Python file.
3) Then use relative imports:
test.py:
from ..src import models
main.py:
from .src import models
4) You'll need to start your application differently. Ensure your current directory is the parent of /project (which appears to be the file system root) and run your project this way:
python -m project.main
For my own project, I would definitely put main.py inside src if it's the start point of your application. I might put tests.py in src, too, but if not, I would add /project/src to the test runner's Python path on the command line instead of in code.
I would still use absolute_import regardless. In my experience, it's a very clean solution to module organization, and it's also how things work by default in Python 3.
first put your main.py in the src directory..
in your tests you can do , sys.path.append('the src directory')
if you like to force the execution to be in specific directory regardless from where you are executing the app i suggest you adding
import os
os.chdir('relative path to the src dir')
thisway your program will run in the directory you specified so it will respect the relative paths you have in your code