Connecting to Yandex Disk

You can connect to the Yandex Disk file storage service from the DataSphere interface. To upload a file or folder to DataSphere, allow accessing it via a link.

Getting startedGetting started

Open the DataSphere project:

1. Select the relevant project in your community or on the DataSphere homepage in the Recent projects tab.

2. Click Open project in JupyterLab and wait for the loading to complete.
3. Open the notebook tab.

Uploading the contents from a file on Yandex Disk to a DataSphere project fileUploading the contents from a file on Yandex Disk to a DataSphere project file

1. Go to a new cell and copy the command to import the contents from a file on Yandex Disk to it:

   # %pip install requests urllib if needed
   
   import requests
   from urllib.parse import urlencode
   
   base_url = 'https://cloud-api.yandex.net/v1/disk/public/resources/download?'
   public_key = '<link_to_file_on_Yandex_Disk>'
   
   final_url = base_url + urlencode(dict(public_key=public_key))
   response = requests.get(final_url)
   download_url = response.json()['href']
   response = requests.get(download_url)
   
   dist_path = '<path_to_file_in_project>'
   with open(dist_path, 'wb') as f:
       f.write(response.content)
   

   Where:

   • <link_to_file_on_Yandex_Disk>: Link to the Yandex Disk file whose contents you need to import to DataSphere. To get the link, right-click the file and select Share ⟶ Copy link.
   • <path_to_file_in_project>: Path to the DataSphere project file to import data to. To get the path, right-click the file and select Copy path.

2. Run the cell. To do this, choose Run → Run Selected Cells or press Shift + Enter.

Uploading the contents from a folder on Yandex Disk to a DataSphere project folderUploading the contents from a folder on Yandex Disk to a DataSphere project folder

1. Go to a new cell and copy the command to import the contents from a folder on Yandex Disk to it:

   # %pip install requests urllib if needed
   
   import requests
   from urllib.parse import urlencode
   from io import BytesIO
   from zipfile import ZipFile
   
   base_url = 'https://cloud-api.yandex.net/v1/disk/public/resources/download?'
   public_key = '<link_to_folder_on_Yandex_Disk>'
   
   final_url = base_url + urlencode(dict(public_key=public_key))
   response = requests.get(final_url)
   download_url = response.json()['href']
   response = requests.get(download_url)
   
   dist_path = '<path_to_folder_in_project>'
   zipfile = ZipFile(BytesIO(response.content))
   zipfile.extractall(path=dist_path)
   

   Where:

   • <link_to_folder_on_Yandex_Disk>: Link to the folder on Yandex Disk whose contents you need to import to DataSphere. To get the link, right-click the folder and select Share ⟶ Copy link.
   • <path_to_folder_in_project>: Path to the DataSphere project folder to import data to. To get the path, right-click the folder and select Copy path.

2. Run the cell.