< Marvin> how can I create a deployment with flow code in a Prefect Community #ask-marvin

To create a deployment in Prefect 2.13.8 that uses an S3 storage location for your flow code, you can follow these general steps. This approach leverages fsspec-supported storage, which includes AWS S3, and requires setting up an S3 bucket for flow storage. Here’s a concise guide on how to achieve that: 1. Install Required Packages: Ensure that the

prefect-aws

library is installed, which provides the S3 integration. 2. Store Your Code in S3: Put your flow code in an S3 bucket. 3. Create Deployment Using S3 Storage: Use the

S3Bucket

storage block from the

prefect-aws

library to point to your flow code in S3. Here's an example code snippet illustrating how you can set it up:

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python
from prefect import flow
from prefect_aws import S3Bucket

# Define your flow
@flow
def my_flow():
    print("Hello, from a flow stored in S3!")

# Create a storage block, pointing to your S3 bucket
s3_storage = S3Bucket.load("your-s3-bucket-block")

# Deploy the flow
my_flow.deploy(
    name="s3-storage-deployment",
    storage=s3_storage,
    work_pool_name="my_pool"
)

In this script: - Replace

"your-s3-bucket-block"

with the specific name of your S3Bucket block configuration containing details for accessing your S3 bucket. - The deployment uses the specified work pool (

"my_pool"

). It's crucial to ensure that your AWS credentials (used to access the S3 bucket) are correctly configured in the environment where you're deploying and executing the flow. For more details, you can refer to Prefect's Deployment Guide and Storage Guide.

Kledia

10/18/2024, 2:14 PM

@Marvin can I use from_source() function

Marvin

10/18/2024, 2:14 PM

Yes, you can use the

from_source()

function to create a deployment in Prefect 2.13.8 where your flow code is located in a cloud provider's storage, such as an S3 bucket. Here's a general approach to using

from_source()

for this purpose:

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python
from prefect import flow

# Define your flow
@flow
def my_flow():
    print("Hello, from a flow stored in S3!")

if __name__ == "__main__":
    # Create the deployment from a source
    my_flow.from_source(
        source="<s3://my-bucket/my-folder>",  # Replace with your S3 path
        entrypoint="flows.py:my_flow",      # Replace with your entrypoint
    ).deploy(
        name="deployment-from-aws-flow",
        work_pool_name="my_pool",
    )

### Key Components: - source
: The S3 bucket path where your flow code is stored. Replace

"<s3://my-bucket/my-folder>"

with your actual S3 path. - entrypoint
: The specific Python file and function that constitute the entry point for your flow. Adjust

"flows.py:my_flow"

to reflect your file and flow function names. - Deployment Execution: The

deploy()

method is used to register the flow code from the source to the specified work pool. This method assumes that your credentials for accessing the S3 bucket are correctly configured to be discovered in the deployment environment. You can find more details on how to use

from_source()

and other deployment options in the Prefect Deployment Guide.

Kledia

10/18/2024, 3:36 PM

@Marvin when I use from_source() function to create a deployments it gives me this error:

Unsupported storage URL: <s3://lc-my-bucket/flow-code/>. Only git URLs are supported.

Marvin

10/18/2024, 3:36 PM

The error message you're encountering indicates that the

from_source()

function primarily supports URLs that point to Git repositories, rather than directly to storage services like S3. This seems to be a design decision in Prefect for certain deployment functions. Here are a few steps you might take to work around this limitation and deploy your flow using S3 storage: 1. Use S3 Storage Block: Instead of using

from_source()

, configure an S3 storage block using the Prefect AWS integration. This involves using the

prefect_aws

package to define an S3Bucket block. 2. Direct Deployment: Directly register your flow using the Prefect CLI or another method that supports cloud storage URLs. Example using S3 bucket as a storage:

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python
from prefect import flow
from prefect_aws.s3 import S3Bucket

# Define your flow
@flow
def my_flow():
    print("Hello, from a flow stored in S3!")

# Create a storage block, pointing to your S3 bucket
s3_storage = S3Bucket(bucket_name="my-bucket", folder="flow-code")

# Deploy the flow
my_flow.deploy(
    name="s3-storage-deployment",
    storage=s3_storage,
    work_pool_name="my_pool",
)

Please ensure: - You've installed the Prefect AWS integration:

pip install prefect-aws

. - Your AWS credentials are set up in your environment. For more details about S3 storage blocks and Prefect deployments, refer to the Prefect AWS Integration Documentation and the Prefect Deployment Guide.

Kledia

10/18/2024, 3:39 PM

@Marvin How to impelement the Use S3 Storage Block

Marvin

10/18/2024, 3:39 PM

To implement the use of an S3 Storage Block in Prefect 2.13.8, follow the steps below. This process involves configuring Prefect to use an S3 bucket for storing and retrieving your flow code. Here's how you can set it up: 1. Install Necessary Packages: Ensure you have the

prefect-aws

library installed, which is essential for interacting with AWS S3.

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bash
   pip install prefect-aws

2. Create an S3Bucket Block: You need to define an S3 storage block in your Prefect configuration. This can be done via the Prefect UI or directly through code. Via Prefect UI: - Navigate to the Prefect Orion UI. - Go to Blocks and select the option to create a new block. - Choose S3Bucket as the block type and fill in the necessary details like the bucket name. Via Python Code:

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python
   from prefect_aws import S3Bucket

   # Create an S3 bucket storage block
   s3_storage = S3Bucket(
       bucket_name="your-bucket-name",
       folder="flow-code-folder-in-s3",  # Optional: specify a folder within the bucket
   )

   # Save the block (optional, if you want to reuse it easily)
   s3_storage.save(name="my-s3-storage-block")

3. Use the S3Bucket Block in Deployment: Deploy your flow using this S3 storage block to ensure your flow code is pulled from the specified S3 location.

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python
   from prefect import flow

   # Define your flow
   @flow
   def my_flow():
       print("Hello from a flow stored in S3!")

   # Deploy the flow
   my_flow.deploy(
       name="s3-storage-deployment",
       storage=s3_storage,
       work_pool_name="my_pool",
   )

4. Credentials: Ensure that your AWS credentials are correctly configured in the environment where Prefect is running to allow access to your S3 resources. This setup allows Prefect to access and store flow code in your specified S3 bucket, supporting a streamlined deployment process. For more detailed information, you can refer to the Prefect Storage Documentation and the Prefect AWS Integration Guide.

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