<@ULVA73B9P> How would I load data from a CSV file...
# ask-marvin
p
@Marvin How would I load data from a CSV file on an SMB file share on my on-premise network?
m
thought for 54.9 seconds
Let me provide you with a complete solution for reading a CSV file from an SMB share. Here's how you can do it: 1. First, you'll need to install the required dependencies:
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bash
pip install "prefect[smb]"
2. Create and configure an SMB block either through the UI or programmatically:
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python
from prefect.filesystems import SMB

# Create the SMB block
smb_block = SMB(
    smb_host="your-server",  # e.g., "192.168.1.100" or "fileserver.local"
    share_path="your-share",  # e.g., "shared_folder"
    smb_username="your-username",
    smb_password="your-password"
)

# Save it with a name for future use
smb_block.save("my-smb-share")
3. Here's a complete flow that reads a CSV file from your SMB share:
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python
import pandas as pd
from prefect import flow, task
from prefect.filesystems import SMB

@task
def read_csv_from_smb(file_path: str) -> pd.DataFrame:
    """Read a CSV file from SMB share"""
    smb_block = SMB.load("my-smb-share")
    
    # Use the context manager to safely handle the connection
    with smb_block.get_directory() as temp_dir:
        # Construct the full path in the temporary directory
        temp_file_path = temp_dir / file_path
        # Read the CSV using pandas
        df = pd.DataFrame(pd.read_csv(temp_file_path))
    return df

@flow
def process_smb_csv():
    # Specify the path relative to your share root
    df = read_csv_from_smb("path/to/your/file.csv")
    print(f"Loaded {len(df)} rows from CSV")
    return df

if __name__ == "__main__":
    process_smb_csv()
A few important notes: 1. The
get_directory()
context manager automatically handles downloading the necessary files to a temporary directory and cleaning up afterward. 2. Make sure your SMB credentials have the necessary permissions to access the share and read the files. 3. The
file_path
should be relative to the root of your share. For example, if your file is in "shared_folder/data/file.csv", your
file_path
would be "data/file.csv". 4. For security best practices, consider using Prefect secrets or environment variables for sensitive credentials rather than hardcoding them. If you need to handle large CSV files, you might want to consider reading the file in chunks using pandas'
chunksize
parameter:
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python
@task
def read_large_csv_from_smb(file_path: str, chunk_size: int = 10000):
    smb_block = SMB.load("my-smb-share")
    
    with smb_block.get_directory() as temp_dir:
        temp_file_path = temp_dir / file_path
        # Read the CSV in chunks
        for chunk in pd.read_csv(temp_file_path, chunksize=chunk_size):
            # Process each chunk here
            yield chunk
This approach helps manage memory usage when dealing with large files. Would you like me to explain any part of this solution in more detail or help you with a specific aspect of the implementation?
p
@Marvin What authentication options are there for connecting to an smb file share?
m
thought for 37.9 seconds
Based on my research, here are the authentication options available for connecting to SMB shares in Prefect: 1. Basic Username/Password Authentication
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python
   from prefect.filesystems import SMB
   
   smb_block = SMB(
       smb_host="your-server",
       share_path="your-share",
       smb_username="your-username",
       smb_password="your-password"
   )
2. Anonymous Access (if your SMB share allows it)
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python
   smb_block = SMB(
       smb_host="your-server",
       share_path="your-share"
       # omit username and password for anonymous access
   )
3. Using Secrets for Credentials
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python
   from prefect.blocks.system import Secret
   
   # Store credentials as secrets
   Secret(value="your-username").save("smb-username")
   Secret(value="your-password").save("smb-password")
   
   # Use secrets in SMB configuration
   username_secret = Secret.load("smb-username")
   password_secret = Secret.load("smb-password")
   
   smb_block = SMB(
       smb_host="your-server",
       share_path="your-share",
       smb_username=username_secret.value,
       smb_password=password_secret.value
   )
Important Security Notes: 1. Credentials are stored securely as
SecretStr
types in Prefect 2. It's recommended to use environment variables or Prefect secrets for storing sensitive credentials rather than hardcoding them 3. The SMB port is optional and defaults to the standard SMB port (445) Limitations: - Currently, Prefect's SMB implementation only supports basic username/password authentication - More advanced authentication methods like Kerberos or certificate-based authentication are not directly supported - If you need more advanced authentication methods, you might need to consider using a custom solution or mounting the SMB share locally first Would you like me to explain any of these authentication methods in more detail or help you implement a specific authentication approach?
p
@Marvin Does the SMB access support encrypted connectons?
m
thought for 41.8 seconds
After researching the available documentation and implementation, here's what I can tell you about SMB encryption in Prefect: 1. Underlying Implementation: Prefect's SMB support is built on top of the
smbprotocol
Python package, which does support SMB3 protocol encryption. 2. Default Behavior: When using Prefect's SMB filesystem: - For SMB3 shares, encryption is enabled by default - For SMB2 shares, encryption depends on the server configuration - For SMB1, encryption is not available (and using SMB1 is generally not recommended for security reasons) 3. No Explicit Configuration: Currently, Prefect doesn't expose explicit encryption configuration options through its SMB block. The encryption settings are determined by: - The SMB protocol version supported by your server - Your server's encryption requirements - The default behavior of the underlying
smbprotocol
library Best Practices for Secure SMB Access: 1. Use Modern SMB Versions: - Ensure your SMB server is configured to use SMB3 - Disable SMB1 on your server if possible - Configure your server to require encryption 2. Network Security: - Use a VPN or secure network when accessing SMB shares - Consider restricting SMB access to specific IP ranges - Use firewalls to protect SMB ports (typically 445) 3. Credential Security:
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python
   from prefect.filesystems import SMB
   from prefect.blocks.system import Secret
   
   # Store credentials securely
   smb_block = SMB(
       smb_host="your-server",
       share_path="your-share",
       smb_username=Secret.load("smb-username").value,
       smb_password=Secret.load("smb-password").value
   )
If you need guaranteed encrypted connections or more control over encryption settings, you might want to consider: 1. Mounting the SMB share locally using your operating system's tools (where you can specify encryption requirements) and then using Prefect's
LocalFileSystem
to access it 2. Using alternative storage solutions that offer more explicit encryption controls, such as: - AWS S3 with the
S3
block - Azure Blob Storage with the
Azure
block - SFTP with the
RemoteFileSystem
block Would you like me to provide more details about any of these alternatives or help you implement a specific secure access pattern?
p
@Marvin What authentication options are there for accessing Azure File Share or Azure Blob Storage?
m
thought for 53.3 seconds
Based on my research, I can provide you with the authentication options available for Azure storage services when using Prefect. You'll need to install the
prefect-azure
package first:
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bash
pip install "prefect-azure[blob_storage]"
Here are the available authentication methods: 1. Connection String Authentication
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python
from prefect_azure.credentials import AzureBlobStorageCredentials
from prefect_azure import AzureBlobStorageContainer

# Using connection string
credentials = AzureBlobStorageCredentials(
    connection_string="your_connection_string"
)

container = AzureBlobStorageContainer(
    container="your-container-name",
    credentials=credentials
)
2. Account Key Authentication
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python
credentials = AzureBlobStorageCredentials(
    account_name="your_storage_account_name",
    account_key="your_account_key"
)
3. Azure Default Credentials (Recommended for Production)
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python
credentials = AzureBlobStorageCredentials(
    account_url="<https://your_account.blob.core.windows.net/>"
    # No explicit credentials - will use Azure's DefaultAzureCredential
)
This method will try multiple authentication methods in the following order: - Environment variables (AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, AZURE_TENANT_ID) - Managed Identity credentials - Visual Studio Code credentials - Azure CLI credentials - Interactive browser credentials 4. SAS Token Authentication
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python
credentials = AzureBlobStorageCredentials(
    account_url="<https://your_account.blob.core.windows.net/>",
    sas_token="your_sas_token"
)
Example of using the storage in a flow:
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python
from prefect import flow
from prefect_azure import AzureBlobStorageContainer
from prefect_azure.credentials import AzureBlobStorageCredentials

@flow
def example_azure_flow():
    # Create credentials
    credentials = AzureBlobStorageCredentials(
        account_name="your_account_name",
        account_key="your_account_key"
    )
    
    # Create container client
    container = AzureBlobStorageContainer(
        container="your-container",
        credentials=credentials
    )
    
    # Upload a file
    container.upload_from_string(
        data="Hello, Azure!",
        blob="example/hello.txt"
    )
    
    # Download a file
    content = container.download_to_string(
        blob="example/hello.txt"
    )
    return content
Best Practices and Security Recommendations: 1. For Production Environments: - Use Azure Default Credentials with managed identities when possible - Store sensitive credentials using Prefect secrets - Use the minimum required permissions for your storage account 2. For Development:
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python
   from prefect.blocks.system import Secret
   
   # Store credentials securely
   Secret(value="your_connection_string").save("azure-storage-connection")
   
   # Use in your flow
   connection_string = Secret.load("azure-storage-connection")
   credentials = AzureBlobStorageCredentials(
       connection_string=connection_string.value
   )
3. For Temporary Access: - Use SAS tokens with appropriate time limitations - Restrict SAS token permissions to only what's needed - Consider using container-level SAS tokens instead of account-level ones 4. For CI/CD Environments:
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python
   import os
   
   credentials = AzureBlobStorageCredentials(
       connection_string=os.environ["AZURE_STORAGE_CONNECTION_STRING"]
   )
Would you like me to provide more details about any of these authentication methods or help you implement a specific authentication approach?