java.lang.RuntimeException: Failed to execute python command for notebook '/Repos/cflowers@trend.community/treNLP/src/pipeline' with id RunnableCommandId(5385449474169222390) and error AnsiResult(---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
File <command--1>:5
      3 import dlt
      4 from pyspark.sql import SparkSession
----> 5 from clients.pipeline_client import DatabricksPipelineClient
      6 from clients.TreNLPModel import MLFlowModel
      7 from clients.databricks_client import DatabricksHttpClient

File /databricks/python_shell/dbruntime/PythonPackageImportsInstrumentation/__init__.py:171, in _create_import_patch.<locals>.import_patch(name, globals, locals, fromlist, level)
    166 thread_local._nest_level += 1
    168 try:
    169     # Import the desired module. If you’re seeing this while debugging a failed import,
    170     # look at preceding stack frames for relevant error information.
--> 171     original_result = python_builtin_import(name, globals, locals, fromlist, level)
    173     is_root_import = thread_local._nest_level == 1
    174     # `level` represents the number of leading dots in a relative import statement.
    175     # If it's zero, then this is an absolute import.

ModuleNotFoundError: No module named 'clients',None,Map(),Map(),List(),List(),Map())

I actually don't think the accepted solution should be accepted as the problem involving DLT was not addressed. 

I'm having a similar issue while trying to import from repos in a DLT pipeline.