We Keep Coding

What is the downside of adding '__init__.py' in sub-directories of a Python codebase if certain directories do not have that file?

Since Python 3.3, the compulsion for having an __init__.py in every directory of a source code was removed. My aim is to read all the modules and submodules of a given source code using pyclbr. However, there are certain cases where a particular module is a submodule to other modules and not all the parent modules are packages. pyclbr does not understand the difference between directories and packages.
So, while attempting to solve this problem, I thought of adding the __init__.py file in every directory that is not a package. I am not sure as to what the downsides are. I have this inhibition of deviating from the standards set by the Python community and that might result in incorrectness sometime later.
As stated in the above hyperlink, I could go with specifying only the module and give its full-path to pyclbr but that does not work in cases like the following source code structure:
(gruml) ➜ gruml git:(run-sequence-diagram) ✗ tree a
a
└── a
└── a
├── __init__.py
└── a.py
2 directories, 2 files
This does not work because sending a to pyclbr would return the same data for a.a.a and for a.a.a.a. So, I have to send the full-module path and work for directories.

would return the same data for a.a.a and for a.a.a.a
Since I'm not familiar with pyclbr, it's unclear what data you're referring to, but if you want something specific to only a.a.a, then that would be need to be written inside of the init file

Importing from above path on python for windows

I have the script I want to run in the following structure
scripts/
project/
main.py
libraries/
a.py
In main.py I need to import things from a.py. How can I import things in subfolders that are two or more folders above main.py?

The proper way to handle this would be putting everything that needs to know about each other under a shared package, then the individual sub-packages and sub-modules can be accessed through that package. But this will also require moving the application's entrypoint to either the package, or a module that's a sibling of the package in the directory and can import it. If moving the entrypoint is an issue, or something quick and dirty is required for prototyping, Python also implements a couple other methods for affecting where imports search for modules which can be found near the end of the answer.
For the package approach, let's say you have this structure and want to import something between the two modules:
.
├── bar_dir
│   └── bar.py
└── foo_dir
└── foo.py
Currently, the two packages do not know about each other because Python only adds the entrypoint file's parent (either bar_dir or foo_dir depending on which file you run) to the import search path, so we have to tell them about each other in some way, this is done through the top level package they'll both share.
.
└── top_level
├── __init__.py
├── bar_dir
│   ├── __init__.py
│   └── bar.py
└── foo_dir
├── __init__.py
└── foo.py
This is the package layout we need, but to be able to use the package in imports, the top packagehas to be initialized.
If you only need to run the one file, you can do for example python -m top_level.bar_dir.bar but a hidden entry point like that could be confusing to work with.
To avoid that, you can define the package as a runnable module by implementing a __main__.py file inside of it, next to __init__.py, which is ran when doing python -m top_level. The new __main__.py entrypoint would then contain the actual code that runs the app (e.g. the main function) while the other modules would only have definitions.
The __init__.py files are used to mark the directories as proper packages and are ran when the package is imported to initialize its namespace.
With this done the packages now can see each other and can be accessed through either absolute or relative imports, an absolute import would being with the top_level package and use the whole dotted path to the module/package we need to import, e.g. from top_level.bar_dir import bar can be used to import bar.
Packages also allow relative imports which are a special form of a from-style import that begins with one or more dots, where each dot means the import goes up one package - from the foo module from . import module would attempt to import module from the foo_dir package, from .. import module would search for it in the top_level package etc.
One thing to note is that importing a package doesn't initialize the modules under it unless it's an explicit import of that module, for example only importing top_level won't make foo_dir and bar_dir available in its namespace unless they're imported directly through import top_level.foo_dir/top_level.bar_dir or the package's __init__.py added them to the package's namespace through its own import.
If this doesn't work in your structure, an another way is to let Python know where to search for your modules by adding to its module search path, this can be done either at runtime by inserting path strings into the sys.path list, or through the PYTHONPATH environment variable.
Continuing with the above example with a scenario and importing bar from foo, an entry for the bar_dir directory (or the directory above it) can be added to the sys.path list or the aforementioned environment variable. After that import bar (or from bar_dir import bar if the parent was added) can be used to import the module, just as if they were next to each other. The inserted path can also be relative, but that is prone to breakage with a changing cwd.

Python, import subfolder from another subfolder [duplicate]

The following is my directory structure.
ankur
├── ankur1
│ ├── __init__.py
│ └── util.py
├── ankur2
│ └── main.py
└── __init__.py
In main.py, I am importing the following.
import ankur.ankur1.util
When I execute the code in Windows, it works perfectly fine. But in Linux, I get the following error.
ImportError: No module named ankur.ankur1.util
I also read the official python doc on Modules and Packages.

Your package structure is OK. Your import statement is OK. The only thing missing is for the package to be visible in sys.path, a list of locations where import statements can be resolved.
Usually we do this by "installing" the package locally with pip, which copies your code into site-packages†. This directory is one of the entries in sys.path, so when your code is installed in site-packages, the import statements can now be resolved as usual.
However, to install your code you'll need an installer (setup.py script) or a build system (pyproject.toml file) defined for the package. Your project doesn't appear to have any installer or build system, so you'll need to create one (see the Python Packaging User Guide for details about that) and then install the package with pip. If you don't want to learn Python packaging just yet, you'll need to find another way around.
It is possible to modify sys.path directly in main.py, which is subsequently enabling the statement import ankur.ankur1.util to be resolved. This is hacky and I recommend against that. It would add the restriction that executing main.py is the only entry point to the rest of the package, and so any other code wanting to import ankur will first need to know the path to main.py on the filesystem. That's a messy approach and should be avoided.
Another way around is to use the environment - there is an environment variable PYTHONPATH which can be used to augment the default search path for module files. In your shell:
export PYTHONPATH=/path/to/parent # linux/macOS
SET PYTHONPATH=C:/path/to/parent # Windows
Where parent is the directory containing ankur subdirectory.
† The exact location of site-packages depends on your OS/platform, but you can check with import sysconfig; sysconfig.get_paths()["purelib"]

How to cross-import modules in subdirectory so they work as sub-module and as a stand-alone?

I have a Python module that normally works as a stand-alone.
file1.py
file2.py
file3.py
However, I also want it to be part of a different project, in which the module is placed in a separate subdirectory.
__init.py__
build.py
└── compiler
└── __init__.py
└── file1.py
└── file2.py
└── file3.py
Since the module scripts use plenty of cross-imports, this is not possible. Once placed in a subdirectory, the imports no longer find the respective files because it looks in the top directory only.
To remedy the problem, I tried various things. I appended the subdirectory as an additional path in the top-most build.py script.
sys.path.append('compiler')
It did not solve the problem. Cross-imports are still not working.
I also tried relative imports but that breaks the stand-alone version of the module. So, I tried exception handling to catch them
try:
from file1 import TestClass
except ImportError:
from .file1 import TestClass
That did not work either and resulted, despite my best efforts in ImportError: attempted relative import with no known parent package errors.
I also tried all sorts of variations of these things, but none of it worked.
I know it has to be possible to do something like this and I am surprised that this is so hard to do. My Internet searches all came back with the same suggestions—the ones I outlined above, none of which worked in my case, particularly because they do not take into account the ability to run code as a stand-alone and as a sub-module.
I can't be the first person trying to write a module that can be used as a stand-alone package or as a sub-module in other projects. What am I missing here?

Relative imports, as the error tells you, require a parent package. Think of .file1 as shorthand for <this_module>.file1. If there is no <this_module>, you can't ask it for file1. In order to properly use relative imports you'll have to make a wrapper project to contain the shared module so it can be properly namespaced.
So your standalone module will instead look like this, matching the consumer:
__init.py__
standalone.py
└── compiler
└── __init__.py
└── file1.py
└── file2.py
└── file3.py
The other option is to make your shared module truly installable with a setup.py or pyproject.toml or whatever your favorite method is. Then you install it in the consuming project instead of directly including it.

pytest cannot import module while python can

I am working on a package in Python. I use virtualenv. I set the path to the root of the module in a .pth path in my virtualenv, so that I can import modules of the package while developing the code and do testing (Question 1: is it a good way to do?). This works fine (here is an example, this is the behavior I want):
(VEnvTestRc) zz#zz:~/Desktop/GitFolders/rc$ python
Python 2.7.12 (default, Jul 1 2016, 15:12:24)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from rc import ns
>>> exit()
(VEnvTestRc) zz#zz:~/Desktop/GitFolders/rc$ python tests/test_ns.py
issued command: echo hello
command output: hello
However, if I try to use PyTest, I get some import error messages:
(VEnvTestRc) zz#zz:~/Desktop/GitFolders/rc$ pytest
=========================================== test session starts ============================================
platform linux2 -- Python 2.7.12, pytest-3.0.5, py-1.4.31, pluggy-0.4.0
rootdir: /home/zz/Desktop/GitFolders/rc, inifile:
collected 0 items / 1 errors
================================================== ERRORS ==================================================
________________________________ ERROR collecting tests/test_ns.py ________________________________
ImportError while importing test module '/home/zz/Desktop/GitFolders/rc/tests/test_ns.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
tests/test_ns.py:2: in <module>
from rc import ns
E ImportError: cannot import name ns
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Interrupted: 1 errors during collection !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
========================================= 1 error in 0.09 seconds ==========================================
(VEnvTestRc) zz#zz:~/Desktop/GitFolders/rc$ which pytest
/home/zz/Desktop/VirtualEnvs/VEnvTestRc/bin/pytest
I am a bit puzzled, it looks like this indicates an import error, but Python does it fine so why is there a problem specifically with PyTest? Any suggestion to the reason / remedy (Question 2)? I googled and stack-overflowed the 'ImportError: cannot import' error for PyTest, but the hits I got were related to missing python path and remedy to this, which does not seem to be the problem here. Any suggestions?

Found the answer:
DO NOT put a __init__.py file in a folder containing TESTS if you plan on using pytest. I had one such file, deleting it solved the problem.
This was actually buried in the comments to the second answer of PATH issue with pytest 'ImportError: No module named YadaYadaYada' so I did not see it, hope it gets more visibility here.

I can't say I understand why this works, but I had the same problem and the tests work fine if I run python -m pytest.
I'm in a virtualenv, with pytest also available globally:
(proj)tom#neon ~/dev/proj$ type -a python
python is /home/tom/.virtualenvs/proj/bin/python
python is /usr/bin/python
(proj)tom#neon ~/dev/proj$ python -V
Python 3.5.2
(proj)tom#neon ~/dev/proj$ type -a pytest
pytest is /home/tom/.virtualenvs/proj/bin/pytest
pytest is /usr/bin/pytest
(proj)tom#neon ~/dev/proj$ pytest --version
This is pytest version 3.5.0, imported from /home/tom/.virtualenvs/proj/lib/python3.5/site-packages/pytest.py

I just solved this by removing the __init__.py in my project root:
.
├── __init__.py <--- removed
├── models
│   ├── __init__.py
│   ├── address.py
│   ├── appointment.py
│   └── client.py
├── requirements.txt
├── setup.cfg
├── tests
│   ├── __init__.py
│   ├── models
│   │   ├── __init__.py
│   │   ├── appointment_test.py
│   │   └── client_test.py
│   └── other_test.py
└── script.py

I had the same problem but for another reason than the ones mentioned:
I had py.test installed globally, while the packages were installed in a virtual environment.
The solution was to install pytest in the virtual environment. (In case your shell hashes executables, as Bash does, use hash -r, or use the full path to py.test)

Had a similar issue and it worked when I added __init__.py file under tests directory.

Simply put an empty conftest.py file in the project root directory, because when pytest discovers a conftest.py, it modifies sys.path so it can import stuff from the conftest module.
A general directory structure can be:
Root
├── conftest.py
├── module1
│ ├── __init__.py
│ └── sample.py
└── tests
└── test_sample.py

In my case I am working in a container and unfortuantely pytest has the tendency to use python2.7 rather than my python3 interpreter of choice.
In my case this worked:
python3 -m pytest
My folder structure
/
app/
-module1.py
-module2.py
-tests/
--test_module1.py
--test_module2.py
requirements.txt
README.md

ANOTHER SUGGESTION
I explored this question and various others on SO and elsewhere... all the stuff about adding (or removing) an empty __init__.py in and/or conftest.py in various parts of the project directory structure, all the stuff about PYTHONPATH, etc., etc.: NONE of these solutions worked for me, in what is actually a very simple situation, and which shouldn't be causing any grief.
I regard this as a flaw in pytest's current setup. In fact I got a message recently from someone on SO who clearly knew his stuff. He said that pytest is not designed to work with (as per Java/Groovy/Gradle) separate "src" and "test" directory structures, and that test files should be mingled in amongst the application directories and files. This perhaps goes some way to providing an explanation ... however, tests, particularly integration/functional tests, don't always necessarily correspond neatly to particular directories, and I think pytest should give users more choice in this regard.
Structure of my project:
project_root
src
core
__init__.py
__main__.py
my_other_file.py
tests
basic_tests
test_first_tests.py
The import problem posed: very simply, __main__.py has a line import my_other_file. This (not surprisingly) works OK when I just run the app, i.e. run python src/core from the root directory.
But when I run pytest with a test which imports __main__.py I get
ModuleNotFoundError: No module named 'my_other_file'
on the line in __main__.py that tries to import "my_other_file". Note that the problem here, in my case, is that, in the course of a pytest test, one application file fails to find another application file in the same package.
USING PYTHONPATH
After a lot of experimentation, and putting an __init__.py file and a confest.py file in just about every directory I could find (I think the crucial files were __init__.py added to "tests" and "basic_tests", see above directory structure), and then setting PYTHONPATH to as follows
PYTHONPATH=D:\My Documents\software projects\EclipseWorkspace\my_project\src\core
... I found it worked. Imports in the testing files had to be tweaked a bit, the general pattern being from core import app, project, but the test files were able to "see" core, and crucially there was no need to mess around with the import commands in the app files.
HOWEVER... for some reason the tests now run much slower using this method! Compared to my solution below, where the core package can be seen to be loaded just once, my suspicion is that the PYTHONPATH solution probably results in vast amounts of code being reloaded again and again. I can't yet confirm this, but I can't see any other explanation.
THE ALTERNATIVE
My alternative fairly simple solution is this:
1 - in __init__.py in that application package (i.e. directory "core"), put the following two lines:
import pathlib, sys
sys.path.append(str(pathlib.Path(__file__).parent))
NB normally there isn't anything in an __init__.py of course. It turns out, as I confirmed by experimentation, that pytest usually (see update below) executes __init__.py in this situation, after pytest has done whatever it has done to mess up the sys.path entries.
2 - UPDATE 2022-01:
The original solution I had found involved putting a conftest.py file in the application directory(ies) - without which things didn't work. This is obviously undesirable. I find that another solution is to put this code in your conftest.py file in your root directory:
def pytest_configure(config):
import src.core # NB this causes `src/core/__init__.py` to run
# set up any "aliases" (optional...)
import sys
sys.modules['core'] = sys.modules['src.core']
... indeed, from my experiments, the effect of putting conftest.py in the application directory seems to be that pytest then runs __init__.py in that directory. This appears to imply that the module is being imported...
(previous suggestion:)
yes, you also HAVE to include an empty "conftest.py" file in the directory "core". Hopefully this should be the only conftest.py you'll need: I experimented with all this, and putting one in the root directory was not necessary (nor did it solve the problem without the suggested code in __init__.py).
3 - finally, in my test function, before calling core.__main__ in my example, I have to import the file I know is about to be imported:
import core.my_other_file
import core.__main__
If you do this in the first test in your file, you will find that sys.modules is set up for all other tests in that file. Better yet, put import core.my_other_file at the very start of the file, before the first test. Unfortunately, from core import * does not seem to work.
Later: this method has some idiosyncracies and limitations. For example, although the -k switch works OK to filter in/out tests or entire files, if you do something like pytest tests/tests_concerning_module_x, it appears that core.__init__.py does NOT get run... so the files in the core module are once again mutually unimportable during testing. Other limitations will probably come to light...
As I say, I regard this as a flaw in pytest's setup. I have absolutely no idea what pytest does to establish a common-sense setup for sys.path, but it's obviously getting it wrong. There should be no need to rely on PYTHONPATH, or whatever, and if indeed this is the "official" solution, the documentation on this subject is sorely lacking.
NB this suggestion of mine has a problem: by adding to sys.path every time pytest runs __init__.py in a module, it means that this new path thereafter becomes permanent in sys.path, both during testing and, more worryingly, during runs of the application itself, if there is anything which actually calls __init__.py. (Incidentally, just going python src/core (as in my example) does NOT cause this to happen. But other things might.)
To cater for this I have a clunky but effective solution:
import pathlib, sys, traceback
frame_list = traceback.extract_stack()
if len(frame_list) > 2:
path_parts = pathlib.Path(frame_list[2].filename).parts
if len(path_parts) > 2:
module_dir_path_str = str(pathlib.Path(__file__).parent)
if sys.platform.startswith('win'):
if path_parts[-3:-1] == ('Scripts', 'pytest.exe'):
sys.testing_context = True
sys.path.append(module_dir_path_str)
elif sys.platform.startswith('lin'):
if path_parts[-3:-1] == ('_pytest', 'config'):
sys.testing_context = True
sys.path.append(module_dir_path_str)
This is based on my examination of the stacktrace when pytest runs something, in a W10 context and Linux Mint 20 context. It means that in an application run there will be no messing with sys.path.
Of course, this may break with future versions of pytest. My version is 6.2.5.

This problem will happen if you have a tests.py file and a tests folder with tests/__init__.py.
During the collection pytest finds the folder, but when it tries to import the test files from the folder, tests.py file will cause the import problem.
To fix simply remove the tests.py file and put all your tests inside the tests/ folder.
For your specific case the fix will be precisely:
Remove the file /home/zz/Desktop/GitFolders/rc/tests.py
Make sure /home/zz/Desktop/GitFolders/rc/tests/__init__.py is present

I solved my problem by setting the PYTHONPATH in Environment Variables for the specific configuration I'm running my tests with.
While you're viewing the test file on PyCharm:
Ctrl + Shift + A
Type Edit Configurations
Set your PYTHONPATH under Environment > Environment variables.
UPDATE
Move into your project's directory root
Create a virtual environment
Activate your newly created virtual environment
Set the variable $PYTHONPATH to the root of your project and export it:
export PYTHONPATH=$(pwd)
Do not remove the __init__.py from the tests/ directory or from the src/ directory.
Also note:
The root of your directory is not a python module so do NOT add an __init__.py
conftest.py is not necessary in the root of your project.
The $PYTHONPATH var will only be available during the current terminal/console session; so you will need to set this each time.
(You can follow the steps previous to this update if you are working in pycharm).

I had a similar issue, exact same error, but different cause. I was running the test code just fine, but against an old version of the module. In the previous version of my code one class existed, while the other did not. After updating my code, I should have run the following to install it.
sudo pip install ./ --upgrade
Upon installing the updated module running pytest produced the correct results (because i was using the correct code base).

Please check here: https://docs.pytest.org/en/documentation-restructure/background/pythonpath.html
I has an issue with pytest (that was solved using python -m pytest); the error was
FileNotFoundError: [Errno 2] No such file or directory: '/usr/local/lib/python3.9/site-packages/...
I found the problem was missing __init__.py in tests/ and tests/subfolders.

In my case, the import error occurred because the package is pointing to another package/directory with the same name and its path is one level above the folder I actually wanted.
I think this also explains why some people need to remove _ init _.py while others need to add back.
I just put print(the_root_package.__path__) (after import the_root_package) in both python console and pytest scripts to compare the difference
BOTTOM LINE: When you do python, the package you import may be different from the package when you run pytest.

I had placed all my tests in a tests folder and was getting the same error. I solved this by adding an __init__.py in that folder like so:
.
|-- Pipfile
|-- Pipfile.lock
|-- README.md
|-- api
|-- app.py
|-- config.py
|-- migrations
|-- pull_request_template.md
|-- settings.py
`-- tests
|-- __init__.py <------
|-- conftest.py
`-- test_sample.py

Install the packages into Your virtual environment.
Then start a new shell and source Your virtual environment again.

As of pytest 7.0, you can now add pythonpath in pytest.ini. No need to add __init__.py or conftest.py in your root directory.
[pytest]
minversion = 7.0
addopts = --cov=src
pythonpath = src
testpaths =
tests
You can run pytest without any parameters.
https://docs.pytest.org/en/7.0.x/reference/reference.html#confval-pythonpath

Here's a medium article! describing the problem!
The issue is which pytest you are using and your use of a virtual environment.
If you have installed pytest system-wide, in other words, outside of a virtual environment, pytest has a nasty habit of only looking outside your virtual environment for modules! If your project is using a module that is only installed in your virtual environment, and you’re using a system-wide pytest, it won’t find the module, even if you’ve activated the virtual environment.1
Here’s the step-by-step:1
Exit any virtual environment
Use Pip to uninstall pytest
Activate your project’s virtual environment
Install pytest inside the virtual environment
pytest will now find your virtual-environment-only packages!

The answer above not work for me. I just solved it by appending the absolute path of the module which not found to the sys.path at top of the test_xxx.py (your test module), like:
import sys
sys.path.append('path')

I was getting this using VSCode. I have a conda environment. I don't think the VScode python extension could see the updates I was making.
python c:\Users\brig\.vscode\extensions\ms-python.python-2019.9.34911\pythonFiles\testing_tools\run_adapter.py discover pytest -- -s --cache-clear test
Test Discovery failed:
I had to run pip install ./ --upgrade

I was experiencing this issue today and solved it by calling python -m pytest from the root of my project directory.
Calling pytest from the same location still caused issues.
My Project dir is organized as:
api/
- server/
- tests/
- test_routes.py
- routes/
- routes.py
- app.py
The module routes was imported in my test_routes.py as: from server.routes.routes import Routes
Hope that helps!

I disagree with the posts saying that you must remove any __init__.py files. What you must instead do is alter the sys.path.
Run an experiment where you print sys.path when running the code normally.
Then print sys.path while running the code via pytest. I think you will find that there is a difference between these two paths, hence why pytest breaks.
To fix this, insert the path from the first experiment at the 0th index of the second.
Let '/usr/exampleUser/Documents/foo' be the first element of print(sys.path) for experiment 1.
Below is code that should fix your issue:
import sys
sys.path[0] = '/usr/exampleUser/Documents/foo'
Put this at the top of your file, before your actual import statement.
Source: I was dealing with this myself and the above process solved it.

Another special case:
I had the problem using tox. So my program ran fine, but unittests via tox kept complaining.
After installing packages (needed for the program) you need to additionally specify the packages used in the unittests in the tox.ini
[testenv]
deps =
package1
package2
...

If it is related to python code that was originally developed in python 2.7 and now migrated into python 3.x than the problem is probably related to an import issue.
e.g.
when importing an object from a file: base that is located in the same directory this will work in python 2.x:
from base import MyClass
in python 3.x you should replace with base full path or .base
not doing so will cause the above problem.
so try:
from .base import MyClass

Yet another massive win for Python's import system. I think the reason there is no consensus is that what works probably depends on your environment and the tools you are using on top of it.
I'm using this from VS Code, in the test explorer under Windows in a conda environment, Python 3.8.
The setup I have got to work is:
mypkg/
__init__.py
app.py
view.py
tests/
test_app.py
test_view.py
Under this setup intellisense works and so does test discovery.
Note that I originally tried the following, as recommended here.
src/
mypkg/
__init__.py
app.py
view.py
tests/
test_app.py
test_view.py
I could find no way of getting this to work from VS Code because the src folder just blew the mind of the import system. I can imagine there is a way of getting this to work from the command line. As a relatively new convert to Python programming it gives me a nostalgic feeling of working with COM, but being slightly less fun.

I find the answer in there :Click here
If you have other project structure, place the conftest.py in the package root dir (the one that contains packages but is not a package itself, so does not contain an init.py)

update PYTHONPATH till src folder
export PYTHONPATH=/tmp/pycharm_project_968/src

The TestCase directory must be a Python Package

For anyone who tried everything and still getting error,I have a work around.
In the folder where pytest is installed,go to pytest-env folder.
Open pyvenv.cfg file.
In the file change include-system-site-packages from false to true.
home = /usr/bin
include-system-site-packages = true
version = 3.6.6
Hope it works .Don't forget to up vote.

My 2 cents on this: pytest will fail at chance if you are not using virtual environments. Sometimes it will just work, sometimes not.
Therefore, the solution is:
remove pytest with pip uninstall
create your venv
activate your venv
pip install your project path in editable mode, so it will be treated by pytest as a module (otherwise, pytest wont find your internal imports). You will need a setup.py file for that
install your packages, including pytest
finally, run your tests
The code, using windows PowerShell:
pip uninstall pytest
python.exe -m venv my_env
.\my_env\Scripts\activate
(my_env) pip install -e .
(my_env) pip install pytest pytest-html pandas numpy
Then finally
(my_env) pytest --html="my_testing_report.html"
An example of setup.py, for pip install -e:
import setuptools
setuptools.setup(
name='my_package',
version='devel',
author='erickfis',
author_email='erickfis#gmail.com',
description='My package',
long_description='My gooood package',
packages=setuptools.find_packages(),
classifiers=[
'Programming Language :: Python :: 3',
'Operating System :: OS Independent',
],
include_package_data=True
)

If you run Pytest from a terminal:
Run pytest with the --import-mode=append command-line flag.
Argument description in the official documentation: https://docs.pytest.org/en/stable/pythonpath.html
UPD:
Before I also wrote how to do the same if you use PyCharm, but community does not like extendend answers, so I removed additional information that probably was helpful to someone who have a similar issue.