| 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'] |
|
|
| |
| 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}") |
|
|
| |
| download_url = f"{base_url}api/access/datafile/{file_id}" |
|
|
| |
| headers = {'X-Dataverse-key': api_token} |
|
|
| |
| dir = "delivery_mdp/" if "DELIVERY" in filename else "random_mdps/" |
|
|
| |
| download_file(download_url, headers, dir, filename) |
|
|
| print("Download process completed.") |
|
|
|
|