Yes, it is possible to decrypt the encrypted data on the fly while uploading it to Azure Blob Storage using Python. One way to accomplish this is to use the Azure Key Vault to retrieve the consumer's private key, and then use that key to decrypt the file before uploading it to Azure Blob Storage.
Here is an example of how you can decrypt the data on the fly using Python and the Azure Key Vault library:
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import azure.keyvault as kv
from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient
# Connect to Azure Key Vault and retrieve private key
credential = DefaultAzureCredential()
client = kv.KeyVaultClient(credential)
private_key = client.get_secret("<key-vault-name>", "<secret-name>").value
# Decrypt file using private key
decrypted_file = some_decryption_function(encrypted_file, private_key)
# Upload decrypted file to Azure Blob Storage
blob_service_client = BlobServiceClient(<connection_string>)
blob_client = blob_service_client.get_blob_client(<container_name>, <blob_name>)
blob_client.upload_blob(decrypted_file)
You need to replace the connection string, container name and blob name with the actual values and use a decryption function that fits the encryption algorithm and key that you used. The above example uses the azure-identity
and azure-keyvault-secrets
package to authenticate and connect to the key vault, and azure-storage-blob
package for uploading the decrypted data to Azure Blob storage.