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