Airflow Error - got an unexpected keyword argument 'min'

I'm trying to run a very simple test DAG to get the hang of the basic functionalities of GCP Cloud Composer, but everytime I trigger the DAG, a nasty error pops out and I can't seem to find any information about how to solve it.

The error is:

2020-03-18 22:20:56,627] {taskinstance.py:1059} ERROR - __init__() got an unexpected keyword argument 'min'@-@{"workflow": "notebook-test", "task-id": "notebook-test", "execution-date": "2020-03-18T22:20:41.232043+00:00"}
Traceback (most recent call last):
  File "/usr/local/lib/airflow/airflow/models/taskinstance.py", line 930, in _run_raw_task
    result = task_copy.execute(context=context)
  File "/usr/local/lib/airflow/airflow/operators/python_operator.py", line 113, in execute
    return_value = self.execute_callable()
  File "/usr/local/lib/airflow/airflow/operators/python_operator.py", line 118, in execute_callable
    return self.python_callable(*self.op_args, **self.op_kwargs)
  File "/home/airflow/gcs/dags/test.py", line 44, in execute_nb
    parameters=params
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/execute.py", line 104, in execute_notebook
    **engine_kwargs
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 49, in execute_notebook_with_engine
    return self.get_engine(engine_name).execute_notebook(nb, kernel_name, **kwargs)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 341, in execute_notebook
    nb_man.notebook_start()
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 69, in wrapper
    return func(self, *args, **kwargs)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 198, in notebook_start
    self.save()
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 69, in wrapper
    return func(self, *args, **kwargs)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/engines.py", line 139, in save
    write_ipynb(self.nb, self.output_path)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/iorw.py", line 397, in write_ipynb
    papermill_io.write(nbformat.writes(nb), path)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/iorw.py", line 128, in write
    return self.get_handler(path).write(buf, path)
  File "/opt/python3.6/lib/python3.6/site-packages/papermill/iorw.py", line 316, in write
    multiplier=self.RETRY_MULTIPLIER, min=self.RETRY_DELAY, max=self.RETRY_MAX_DELAY
TypeError: __init__() got an unexpected keyword argument 'min'

and my DAG's code is:

import airflow
import papermill as pm
from datetime import timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator


default_args = {
    'owner': 'airflow',
    'start_date': airflow.utils.dates.days_ago(1),
    'end_date': None,
    'retries': 0,    
    'retry_delay': timedelta(minutes=5)
}

dag = DAG(
    dag_id="notebook-test",
    description="a test",
    default_args=default_args,
    catchup=True,
    schedule_interval=None,
    dagrun_timeout=(timedelta(seconds=30))
)

NB_PATH = "gs://BUCKET/data/"

params = {}


def execute_nb():
    input_nb = NB_PATH + "test.ipynb"
    output_nb = NB_PATH + "test_ran.ipynb"

    pm.execute_notebook(
        input_nb,
        output_nb,
        parameters=params
    )


op = PythonOperator(
    task_id="notebook-test",
    python_callable=execute_nb,
    dag=dag
)

op

One solution I tried already from https://github.com/nteract/papermill/issues/445 was to update the version of Tenacity, but adding that to the PyPi Packages tab of my Cloud Composer environment didn't solve anything.

Any help would be appreciated, thanks!

EDIT: The image version is composer-1.9.2-airflow.1.10.6.

So turns out the issue had to do with the path being supplied.

I had to add import os as well as from pathlib import Path and then make my variable

NB_PATH = str(Path(os.path.abspath(__file__)).parents[1]) + "/data" .

This also required me to add jupyter as a PyPi dependency for papermill to work correctly, but it seems to be working now!