Hey having an issue passing parameters to a component in a pipeline, the parameters appear to be None inside the component function:
` @PipelineDecorator.component(
return_values=['dataset_id'],
cache=False,
task_type=TaskTypes.data_processing,
execution_queue='Quad_VCPU_16GB',
)
def generate_dataset(start_date: str, end_date: str, input_aws_credentials_profile: str = 'default'):
"""
Convert autocut logs from a specified time window into usable dataset in generic format.
"""
print('[STEP 1/4] Generating dataset from autocut logs...')
import os
import cv2
import sys
import srsly
import boto3
import shutil
import numpy as np
import pandas as pd
from clearml import Dataset
from zipfile import ZipFile

print(f"start_date: {start_date} end_date: {end_date}") `

Prints start_date: None end_date: None

Here is the controller:
` @PipelineDecorator.pipeline(
name="VINZ Auto-Retrain",
project="VINZ",
version="0.0.1",
pipeline_execution_queue="Quad_VCPU_16GB"
)
def executing_pipeline(start_date, end_date):
print("Starting VINZ Auto-Retrain pipeline...")
print(f"Start date: {start_date}")
print(f"End date: {end_date}")

window_dataset_id = generate_dataset(start_date, end_date)

if name == 'main':
PipelineDecorator.debug_pipeline()

executing_pipeline(
    start_date="2022-01-01",
    end_date="2022-03-02"
) `

It's clearly coming from CLearML because when replacing Pipeline.run_locally() by Pipeline.debug_pipeline() which results in the components to be executed as classic python function instead of tasks (cf debug_pipeline() and run_locally() methods docstrings inside controller.py ) the parameters are properly passed and the component prints: start_date: 2022-01-01 end_date: 2022-03-02

Is it possible the pipeline example on github is not up to date ?

PS: same issue when running on ClearML workers