Can we download Dataiku datasets into our local machine programmatically?

I want to programmatically download the output dataset of the flow into my local machine. How can I do this?

I tried following some suggestions from Chat GPT, it doesn't work. I get max retries reached an error. Can anyone help me with this?

#Import libraries

import dataiku

import requests

import os

from requests.adapters import HTTPAdapter

from requests.packages.urllib3.util.retry import Retry


#Replace with your project key and managed folder ID

project_key = 'PROJECT_KEY'

managed_folder_id = '5kdvyus'


#Replace with your Dataiku URL and API key

dataiku_url = 'https://dataiku.com  # Assuming HTTPS and port 443 is default

api_key = 'ABCDEFGH'


#Initialize the Dataiku API client

client = dataiku.api_client()



#Get the project and managed folder

project = client.get_project(project_key)

managed_folder = project.get_managed_folder(managed_folder_id)


#List the contents of the managed folder

contents = managed_folder.list_contents()

if not contents['items']:

    raise Exception("No files found in the managed folder.")


#Download the first file in the managed folder

file_path = contents['items'][0]['path']

download_url = f"{dataiku_url}/dip/api/managedfolder/{managed_folder_id}/contents/{file_path}"


#Configure retries for the requests session

session = requests.Session()

retries = Retry(total=5, backoff_factor=0.1, status_forcelist=[500, 502, 503, 504])

session.mount('https://', HTTPAdapter(max_retries=retries))


#Download the file

try:

    response = session.get(download_url, headers={'Authorization': f'Bearer {api_key}'})

    response.raise_for_status()

    with open('filtered_data.xlsx', 'wb') as f:

        f.write(response.content)

    print("File downloaded successfully")

except requests.exceptions.RequestException as e:

    print(f"Failed to download the file: {e}")

Operating system used: WIndows