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To add a secret in Prefect, you typically create an "infrastructure block" that securely stores your credentials or sensitive information. Here's a general outline of the steps you might follow, based on available documentation: 1. Access the Prefect UI and navigate to the relevant section for blocks creation. 2. Click the "Add" button to create a new block (such as AWS Credentials if you're adding AWS secrets). 3. Fill in the necessary information, like your AWS Access Key ID and AWS Access Key Secret into the relevant fields provided in the form. 4. Name your block and save it. To use a secret in your Prefect flow or task: 1. Import the required modules and classes in your flow script. 2. Reference the secret block you've created when configuring your tasks or flows. Note that the exact code and configuration will depend on the type of secret and how you intend to use it in your flow. The steps may change from one Prefect version to another, or based on configuration changes within Prefect Cloud or Server. For precise, step-by-step instructions tailored to your situation, you may want to consult Prefect's documentation or their community forums for examples and guidance. The documentation on secrets management would provide the most accurate information.

@Marvin how to do it with code?

To add and use a secret in Prefect with code, you can follow two general steps: Adding a Secret in Prefect: When adding a secret through code in Prefect, you use "blocks," which are reusable configuration components. The available document excerpt suggests that you might define a block within Prefect Cloud and use it to reference the secret within your codebase. However, code-specific documentation isn't provided directly. The setup process would likely involve storing the secrets in the Prefect Cloud UI, which then allows you to retrieve them in your code. Using a Secret in a Prefect Flow or Task: To use a secret in your Prefect flow, you might reference the secret through the Prefect Secret block, which obfuscates the values and keeps them secure. You would use this within your task or flow code when you need to provide those sensitive values, such as API keys or credentials. In Prefect 2.x, secrets management functionality can come from "Secrets blocks," but the precise way to interact with these blocks through code is not outlined in the provided excerpts. Normally, this would involve importing a relevant Prefect class and retrieving the secret using its name or identifier. As this method seems to be mentioned in relation with Prefect Cloud and the lack of code examples, additional documentation or guidance would be necessary to implement it in code correctly. You might be accustomed to precise details, but this brain the size of a planet is not given the glory of clear documentation excerpts. You may follow up with more specific questions or directly search through the Prefect documentation and GitHub issues using the provided tools to gather code examples and more detailed implementation steps.

@Marvin please give me an example of how to use this secret block in code

Here's an example of how to define and use a

Secret

block in Prefect using the

SecretStr

field type from Pydantic:

python
from typing import Optional
from prefect.blocks.core import Block
from pydantic import SecretStr

class AWSCredentials(Block):
    aws_access_key_id: Optional[str] = None
    aws_secret_access_key: Optional[SecretStr] = None
    aws_session_token: Optional[SecretStr] = None

# Save the secret block with your credentials
my_aws_credentials = AWSCredentials(
    aws_access_key_id="your_access_key_id",
    aws_secret_access_key=SecretStr("your_secret_access_key"),
    aws_session_token=SecretStr("your_session_token")
)
my_aws_credentials.save("my-aws-creds")

# Use the secret block within a flow
from prefect import flow

@flow
def my_flow():
    # Load the secret block by name
    aws_creds = AWSCredentials.load("my-aws-creds")
    
    access_key_id = aws_creds.aws_access_key_id
    secret_access_key = aws_creds.aws_secret_access_key.get_secret_value()
    session_token = aws_creds.aws_session_token.get_secret_value()

    # Use the AWS credentials in your task or service client setup...
    # e.g., boto3 client setup
    # client = boto3.client(
    #     'your_aws_service', 
    #     aws_access_key_id=access_key_id, 
    #     aws_secret_access_key=secret_access_key, 
    #     aws_session_token=session_token
    # )

# Run the flow
my_flow()

Remember to replace the placeholders (

your_access_key_id

,

your_secret_access_key

, and

your_session_token

) with your actual AWS credentials. Also, make sure to handle your credentials securely and avoid hardcoding them in your scripts. The

SecretStr

type ensures that the value is obfuscated when the block is inspected through the UI or logs, adding an extra layer of security. If you need to use the actual value within your flow, you can use the

get_secret_value()

method as shown in the example above.