https://prefect.io logo
Join Slack
Powered by
<@ULVA73B9P> can you show example of Prefect3 rest...
# ask-marvin
a
@Marvin can you show example of Prefect3 rest api /api/deployments/ create using python
m
To create a deployment using Prefect 3 via the REST API in Python, you need to interact with the Prefect Server's API directly. Here’s a simple way to do this using the 
requests
library in Python: 1. Set up your environment: - Make sure you have Prefect Server running and accessible. - Ensure you have a flow already registered with the Prefect backend that you want to deploy. 2. Python Example: Here's an example of how you might create a deployment using the REST API:
Copy code
python
import requests

# Define your Prefect server's URL and the authentication details (if needed)
api_url = "<http://localhost:4200/api/deployments/>"
flow_id = "your-flow-id"  # Replace with your actual flow ID

# Deployment configuration
deployment_payload = {
    "name": "my-deployment",
    "flow_id": flow_id,
    "entrypoint": "<http://path.to:my_flow_function|path.to:my_flow_function>",  # Adjust this to your flow's entrypoint
    "schedule": {
        # Define your schedule
    },
    "tags": ["example", "api"],
    "description": "A deployment created using the Prefect API"
    # Add other required fields here
}

# Create the deployment
response = <http://requests.post|requests.post>(api_url, json=deployment_payload)

if response.status_code == 201:
    print(f"Deployment created successfully: {response.json()}")
else:
    print(f"Failed to create deployment: {response.content}")
3. Points to Consider: - Ensure that the flow ID corresponds to an existing flow registered with Prefect. - The API endpoint might require authentication, depending on your Prefect setup. Use appropriate headers for authentication if necessary. - Replace 
"<http://path.to:my_flow_function|path.to:my_flow_function>"
with the module path and function name of your flow. 4. Documentation & Reference: - You can refer to the Prefect 3 deployment API documentation for more details on available fields and configurations: Prefect Deployment API. If you encounter any issues or errors during this process, ensure that the Prefect server is running correctly and that your payload includes all necessary fields.
a
@Marvin how to set pull_steps from AWS s3
m
To set up pull steps from AWS S3 in Prefect 3 deployments, you need to configure your deployment yaml file to specify where and how Prefect should grab the flow code from S3. Here's a simplified guideline: 1. Install Required Package: - Ensure that you have the 
prefect-aws
package installed, which provides the necessary steps to integrate with AWS.
Copy code
bash
   pip install -U prefect-aws
2. Configure Prefect YAML for S3: - Your 
prefect.yaml
file should include a 
pull
section that uses the 
prefect_aws.deployments.steps.pull_from_s3
to specify which bucket and folder the flow code should be pulled from. Example `prefect.yaml`:
Copy code
yaml
pull:
  - prefect_aws.deployments.steps.pull_from_s3:
      id: pull_code
      requires: prefect-aws>=0.3.4
      bucket: your-bucket-name
      folder: your-folder-name
      credentials: "{{ prefect.blocks.aws-credentials.your-credentials-block }}"  # If private
3. Credentials Management: - If your S3 bucket requires authentication, use Prefect's configuration blocks to securely manage credentials. Register your AWS credentials in Prefect using a credentials block, and reference it in your 
prefect.yaml
. These settings allow Prefect to pull your project's code from the specified S3 bucket and folder, which can be essential for running your workflows in distributed or cloud environments. For further details or advanced configurations, you may check Prefect's documentation: Store Flow Code.
a
@Marvin I would like to call REST API of Prefect3 and create a new deployment with pull_steps from AWS S3 can you show example?
m
To create a new deployment in Prefect 3 using the REST API and set up pull steps from AWS S3, you would need to make a POST request to the appropriate deployment endpoint with a payload that includes the necessary configuration for pulling code from S3. Here’s a step-by-step example of how to achieve this with Python using the 
requests
library: 1. Ensure Environment Setup: - Make sure Prefect Server is running. - Have 
prefect-aws
installed if running locally or on your server. - Registry available flow IDs that you want to deploy. 2. Python Example:
Copy code
python
import requests

# Prefect API URL
api_url = "<http://localhost:4200/api/deployments/>"
flow_id = "your-flow-id"  # Replace with the actual flow ID

# AWS S3 pull step configuration for the deployment
deployment_payload = {
    "name": "my-deployment-with-s3",
    "flow_id": flow_id,
    "entrypoint": "<http://path.to:your_flow_function|path.to:your_flow_function>",
    "pull": [
        {
            "prefect_aws.deployments.steps.pull_from_s3": {
                "id": "pull_code",
                "requires": "prefect-aws>=0.3.4",
                "bucket": "your-bucket-name",
                "folder": "your-folder-name",
                "credentials": "{{ prefect.blocks.aws-credentials.your-credentials-block }}"
            }
        }
    ],
    "tags": ["s3", "deployment"],
    "description": "Deployment with code pulled from AWS S3"
}

# Sending the POST request to create the deployment
response = <http://requests.post|requests.post>(api_url, json=deployment_payload)

if response.status_code == 201:
    print(f"Deployment created successfully: {response.json()}")
else:
    print(f"Failed to create deployment: {response.status_code} - {response.content}")
### Key Components: - API URL: Ensure the API URL matches your Prefect server's configuration. - Flow ID: Corresponds to the flow you wish to deploy. Replace 
"your-flow-id"
with the actual ID. - Pull Configuration: The 
pull
section is configured to fetch code from your specified S3 bucket and folder, with optional credential configurations for authentication. - Credentials: Securely managed using Prefect's AWS credentials block. You'll set this up separately in Prefect. This example demonstrates the payload structure needed to configure a deployment with an S3 pull step, which provides Prefect the necessary instructions to fetch your workflow code from S3. Be sure to replace placeholder values with actual configuration details relevant to your setup.
a
@Marvin Is it possible on Prefect3 to upload the flow and dependencies based on the .prefectignore file during the deployment process?
m
In Prefect 3, you can use a 
.prefectignore
file to specify which files and directories should be excluded from being uploaded during the deployment process. This is similar to how a 
.gitignore
file works, allowing you to prevent unnecessary or sensitive files from being included. Here's how to use `.prefectignore`: 1. Create the 
.prefectignore
File: - Place a 
.prefectignore
file in the root directory of your project. - List the files and directories you want to exclude from the upload process, similar to a 
.gitignore
file. Example:
Copy code
# Ignore Python cache
__pycache__/
*.pyc

# Ignore sensitive files
secrets.env

# Ignore large datasets
data/
2. Deploy Your Flow: - When you run the 
prefect deploy
command, Prefect will automatically use the 
.prefectignore
file to exclude the specified patterns from the deployment package. This feature is particularly useful for keeping your deployments clean and ensuring that only the necessary code is uploaded, which helps in reducing the deployment size and avoiding any inadvertent exposure of sensitive information. For more details, you can explore Store Flow Code in the Prefect 3 documentation.
6 Views
Open in Slack
PreviousNext
Powered by