import os import time from pyDataverse.api import NativeApi, DataAccessApi from pyDataverse.models import Dataverse import requests base_url = 'https://dataverse.tdl.org/' api_token = "70fcc8fa-3717-4c1b-863d-2da0fb5d9d35" api = NativeApi(base_url, api_token) data_api = DataAccessApi(base_url) DOI = "doi:10.18738/T8/0PRYRH" dataset = api.get_dataset(DOI) if not os.path.exists("random_mdps"): os.makedirs("random_mdps") if not os.path.exists("delivery_mdp"): os.makedirs("delivery_mdp") files_list = dataset.json()['data']['latestVersion']['files'] # Function to download a file with retry mechanism and exponential backoff def download_file(download_url, headers, dir, filename): max_retries = 5 backoff_factor = 1 for attempt in range(max_retries): try: with requests.get(download_url, headers=headers, stream=True) as response: response.raise_for_status() with open(os.path.join(dir, filename), "wb") as f: for chunk in response.iter_content(chunk_size=8192): f.write(chunk) print(f"Successfully downloaded: {filename}") return except requests.RequestException as e: wait_time = backoff_factor * (2 ** attempt) print(f"Error downloading {filename}: {str(e)}. Retrying in {wait_time} seconds...") time.sleep(wait_time) print(f"Failed to download {filename} after {max_retries} attempts.") for file in files_list: filename = file["dataFile"]["filename"] file_id = file["dataFile"]["id"] print(f"Downloading: File name {filename}, id {file_id}") # Construct the download URL download_url = f"{base_url}api/access/datafile/{file_id}" # Set up the request headers with the API token headers = {'X-Dataverse-key': api_token} # Determine the directory dir = "delivery_mdp/" if "DELIVERY" in filename else "random_mdps/" # Download the file download_file(download_url, headers, dir, filename) print("Download process completed.")