PyTest working in Repos but not in Databricks Asset Bundles

[ChrisLawford]

Hello,
I am trying to run PyTest from a notebook or python file that exists due to being deployed by a Databricks Asset Bundle (DAB).
I have a repository that contains a number of files with the end goal of trying to run PyTest in a directory to validate my code.
I shall explain the structure of the repo and the steps to reproduce the issue but in essence I am seeing different behavior from the same code when running in the `/Workspace/Repos/USER_EMAIL/REPO_NAME/NOTEBOOK_FILE` and running in `/Workspace/Users/USER_EMAIL/.bundle/BUNDLE_NAME/dev/files/NOTEBOOK_FILE`
When running in the repos folder I am able to run the NOTEBOOK_FILE that runs pytest and see the tests passing result. When running in the DAB folder I am able to run the NOTEBOOK_FILE that runs pytest and get the error 

________________________ ERROR collecting spark_test.py ________________________
ImportError while importing test module '/Workspace/Users/USER_EMAIL/.bundle/any-name-you-want/dev/files/spark_test.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.10/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
E   ModuleNotFoundError: No module named 'spark_test'

Files and folder Structure

The files and folder structure in the repo:

REPO_NAME/
├── execute_pytest.py
├── execute_pytest_nb.py
├── databricks.yml
└── spark_test.py

execute_pytest.py

import pytest
import os
import sys
    
# Skip writing pyc files on a readonly filesystem.
sys.dont_write_bytecode = True
    
# Run pytest.
retcode = pytest.main([".", "-v", "-p", "no:cacheprovider"])
# Fail the cell execution if there are any test failures.
assert retcode == 0, "The pytest invocation failed. See the log for details."

 execute_pytest_nb.py

# Databricks notebook source
import pytest
import os
import sys

# Skip writing pyc files on a readonly filesystem.
sys.dont_write_bytecode = True
    
# Run pytest.
retcode = pytest.main([".", "-v", "-p", "no:cacheprovider"])
# Fail the cell execution if there are any test failures.
assert retcode == 0, "The pytest invocation failed. See the log for details."

 spark_test.py

from pyspark.sql import SparkSession
import pytest
@pytest.fixture
def spark() -> SparkSession:
  # Create a SparkSession (the entry point to Spark functionality) on
  # the cluster in the remote Databricks workspace. Unit tests do not
  # have access to this SparkSession by default.
  return SparkSession.builder.getOrCreate()


# COMMAND ----------

def test_scenario_a(spark):
    assert 1==1

databricks.yml

bundle:
  name: any-name-you-want

targets:
  # The 'dev' target, used for development purposes.
  # Whenever a developer deploys using 'dev', they get their own copy.
  dev:
    # We use 'mode: development' to make sure everything deployed to this target gets a prefix
    # like '[dev my_user_name]'. Setting this mode also disables any schedules and
    # automatic triggers for jobs and enables the 'development' mode for Delta Live Tables pipelines.
    mode: development
    default: true
    workspace:
      host: https://adb-XXXXXXXXXXXXXXXXX.azuredatabricks.net

Cluster Specs:

DBR: 14.3 LTS ML

Libraries: PyPI PyTest

Steps to reproduce working pytest in databricks repos:

1. Create the repo into the workspace at `/Workspace/Repos/USER_EMAIL/REPO_NAME/` location.
2. Open the "execute_pytest.py" file which should now exist at "/Workspace/Repos/USER_EMAIL/REPO_NAME/execute_pytest.py"
3. Attach the cluster and run all.

Steps to reproduce failing pytest in databricks DAB:

1. Clone the repo to your local computer
2. In the root of the repo open a terminal and run `databricks bundle deploy` (assuming you have databricks-cli already installed and configured for the workspace)
3. In the workspace navigate to the notebook "execute_pytest.py" which should now exist at "/Workspace/Users/USER_EMAIL/.bundle/any-name-you-want/dev/files/execute_pytest.py"
4. Attach the cluster and run all.

Things that have been tried:

• I have tested that the same outcome happens regardless of using a python file or a notebook. That is why the repo contains both "execute_pytest.py" (Python file) and "execute_pytest_nb.py" (Notebook).
• Adding the CWD to the sys.path As referenced here . I have also tried this with the pytest.ini file As Referenced Here 
• I have tried different file names

[Kaniz_Fatma]

Hi @ChrisLawford, The error message you’re encountering indicates that the spark_test module is not being found.

• Ensure that your directory structure is set up correctly.
• Sometimes, pytest may not discover your modules due to path issues.

[ChrisLawford]

Hello @Kaniz_Fatma,

Thankyou for your response. I am aware of what the error message means and that is exactly why I am requesting support. The same code deployed to two different locations in a workspace working differently is what I am trying to understand. Have you tried to replicate the issue ? I have supplied all of the necessary code to prove this.

I assume it will result in a pathing issue as I can rule out the directory structure being incorrect due to the code working when deployed to a Databricks Repo but not working when being deployed as a Databricks Asset Bundle.
I look forward to your response.