Downloading a File from JupyterLab to a Local Path

Downloading a File Less Than or Equal to 100 MB

In the JupyterLab file list, right-click the file to be downloaded and choose Download from the shortcut menu. The file is downloaded to your browser's downloads folder.

Figure 1 Downloading a file

Downloading a File Larger Than 100 MB

Use OBS to transfer the file from the target notebook instance to the local path. To do so, perform the following operations:

1. In the notebook instance, create an IPYNB file larger than 100 MB and use MoXing to upload it to OBS. Example code is as follows:

   1 2	import moxing as mox mox.file.copy('/home/ma-user/work/obs_file.txt', 'obs://bucket_name/obs_file.txt')

   /home/ma-user/work/obs_file.txt is the path to the file stored in the notebook instance. obs://bucket_name/obs_file.txt is the path of the file uploaded to OBS, where bucket_name is the name of the bucket created in OBS, and obs_file.txt is the uploaded file.

2. Use OBS or ModelArts SDK to download the file from OBS to the local path.
   • Method 1: Use OBS to download the file.
   • Download obs_file.txt from OBS to the local path. If a large amount of data is to be downloaded, use OBS Browser+ to download. For details, see Downloading an Object.
   • Method 2: Use ModelArts SDK to download the file.
     1. Download and install the SDK locally.
     2. Authenticate sessions.
     3. Download the file from OBS to the local path. Example code is as follows:

        1 2 3 4 5 6 7 8 9 10

        from modelarts.session import Session # Hardcoded or plaintext AK/SK is risky. For security, encrypt your AK/SK and store them in the configuration file or environment variables. # In this example, the AK/SK are stored in environment variables for identity authentication. Before running this example, set environment variables HUAWEICLOUD_SDK_AK and HUAWEICLOUD_SDK_SK. __AK = os.environ["HUAWEICLOUD_SDK_AK"] __SK = os.environ["HUAWEICLOUD_SDK_SK"] # Decrypt the password if it is encrypted. session = Session(access_key=__AK,secret_key=__SK, project_id='***', region_name='***') session.download_data(bucket_path="/bucket_name/obs_file.txt",path="/home/user/obs_file.txt")