David
07/31/2024, 7:12 PMMarvin
07/31/2024, 7:15 PMprefect deploy
, several steps involving loading and resolving blocks, variable references, and pushing, pulling, and registering the deployment with the Prefect API are involved. For details, see the Prefect deployment guide.
2. Work Pools:
Work pools are a way to organize and manage the execution of flows. There are different types of work pools based on the infrastructure:
- Pull Work Pools require workers to poll for flow runs.
- Push Work Pools can directly submit flow runs to serverless infrastructure without needing agents or workers.
Detailed information about work pools can be found in the work pools concept documentation.
Unfortunately, there were no specific GitHub issues found that directly address problems with using prefect deploy
on certain work pools.
If you encounter errors, it could be related to the specific mechanics of your deployment configuration or a particular state (e.g., paused work pools). If so, checking your deployment and work pool settings might help resolve the issue.David
07/31/2024, 7:19 PMprefect deployment build ${{ matrix.flows }}:$FLOW_NAME -sb s3/$BLOCK -q $PROJECT -v $GITHUB_SHA -a -t $PROJECT -n $PROJECT-local --skip-upload
to the new schema prefect deployMarvin
08/01/2024, 6:16 PMprefect deployment build
command to a new prefect deploy
command involves several steps with the new Prefect setup. Here's a step-by-step guide:
1. Create a prefect.yaml
File:
This file holds your deployment's configuration.
2. Define Deployment Config:
Enter the configuration from the old command into the YAML file.
Your old command:
bash
prefect deployment build ${{ matrix.flows }}:$FLOW_NAME -sb s3/$BLOCK -q $PROJECT -v $GITHUB_SHA -a -t $PROJECT -n $PROJECT-local --skip-upload
Here is the new YAML format:
yaml
version: 2
deployments:
- name: $PROJECT-local
flow_name: $FLOW_NAME
storage: s3/$BLOCK
infrastructure:
type: process
env:
PREFECT__PROJECT_NAME: $PROJECT
parameters:
sha: $GITHUB_SHA
tags:
- $PROJECT
work_pool_queue_name: $PROJECT
skip_upload: true
3. Deploy Using prefect deploy
:
With the prefect.yaml
file set up, use the prefect deploy
command to deploy your flow.
bash
prefect deploy
References:
- Prefect Deployment Guide: Prefect Deployment Guide
- Prefect YAML Deployment Config: Deployments Concept
This is a close approximation of your original command using the new schema. Adjustments may be needed depending on your specific setup and needs.David
08/01/2024, 6:20 PMecs = ECSTask(
aws_credentials=aws_creds,
image=img_,
cpu=cpu_,
memory=memory_,
stream_output=True,
configure_cloudwatch_logs=True,
cluster=cluster_,
execution_role_arn=exec_role,
task_role_arn=task_role,
)
ecs.save(block_, overwrite=True)
does anything change in regards to Prefect 3? If I want to build a push work-pool ecs type can I borrow the infrastructure components from this ecs setup?Marvin
08/01/2024, 6:20 PM, I used to setup my prefect workspace in AWS like so,``` - name: Create Blocks & Upload to S3 id: aws_ecs_ecs_blocks run: | export AWS_ACCOUNT_ID="$(aws sts get-caller-identity --query Account --output text)" cat <<EOF > aws_ecs_blocks.py from prefect.filesystems import S3 from prefect_aws.ecs import ECSTask, AwsCredentials id_ = "${{ secrets.AWS_ACCESS_KEY_ID }}" key_ = "${{ secrets.AWS_SECRET_ACCESS_KEY }}" path_ = "${{ github.event.inputs.s3_path }}" img_ = "${{ needs.ecr-repo.outputs.image }}" block_ = "$BLOCK" cluster_ = "${{ env.ECS_CLUSTER }}" cpu_ = "${{ github.event.inputs.cpu }}" memory_ = "${{ github.event.inputs.memory }}" aws_acc_id = "$AWS_ACCOUNT_ID" exec_role = f"arnawsiam:{aws acc id}role/AppServerExecutionRole" task_role = f"arnawsiam:{aws acc id}role/AppServerExecutionRole" aws_creds = AwsCredentials(aws_access_key_id=id_, aws_secret_access_key=key_) aws_creds.save(block_, overwrite=True) s3 = S3(bucket_path=path_, aws_access_key_id=id
David
08/01/2024, 6:20 PMecs = ECSTask(
aws_credentials=aws_creds,
image=img_,
cpu=cpu_,
memory=memory_,
stream_output=True,
configure_cloudwatch_logs=True,
cluster=cluster_,
execution_role_arn=exec_role,
task_role_arn=task_role,
)
ecs.save(block_, overwrite=True)
does anything change in regards to Prefect 3? If I want to build a push work-pool ecs type can I borrow the infrastructure components from this ecs setup?Marvin
08/01/2024, 6:20 PMECSTask
setup still functions similarly in Prefect 3.0. The infrastructure block you created with parameters like AWS credentials, cluster, roles, and other configurations remains valid.
2. Push Work-Pool Creation:
Prefect 3.0 supports creating push work-pools that can be configured to run on ECS. This involves provisioning the necessary infrastructure and attaching relevant IAM policies and roles.
Here's how you can revise your ECS setup and create a push work-pool:
### Save ECSTask Block (unchanged)
python
from prefect_aws.ecs import ECSTask
ecs = ECSTask(
aws_credentials=aws_creds,
image=img_,
cpu=cpu_,
memory=memory_,
stream_output=True,
configure_cloudwatch_logs=True,
cluster=cluster_,
execution_role_arn=exec_role,
task_role_arn=task_role,
)
ecs.save(block_, overwrite=True)
### Create a YAML Deployment File
yaml
version: 2
deployments:
- name: $PROJECT-local
flow_name: $FLOW_NAME
storage_block: "s3/$BLOCK"
infrastructure_block: $block_
parameters:
sha: $GITHUB_SHA
tags:
- $PROJECT
work_pool_queue_name: $PROJECT
skip_upload: true
### Prefect CLI Commands
Run these commands to register the deployment:
bash
prefect deployment build -n $PROJECT-local --skip-upload
prefect deployment apply ./path_to_your_yaml/your_flow-deployment.yaml
### Provisioning the Work Pool
You need to create a push work-pool dedicated to ECS:
bash
prefect work-pool create PUSH ecs --name $PROJECT-pool
By setting up your ECS task and infrastructure in this manner, you can leverage the power of Prefect 3.0's deployment and work-pool system.
References:
- Deployments (Prefect Documentation)
- Infrastructure Configuration
- Push Work Pools
This setup ensures that your ECS configurations work seamlessly with Prefect 3.0's updated deployment and work-pool mechanisms.