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<@ULVA73B9P> how can I create a prefect.yaml for k...
# marvin-in-the-wild
n
@Marvin how can I create a prefect.yaml for kubernetes worker?
m
To create a 
prefect.yaml
for a Kubernetes worker, you can follow these steps: 1. Configure the Kubernetes Worker: You can start a Kubernetes worker with the following command:
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prefect worker start --pool 'my-work-pool' --type kubernetes
Replace 
my-work-pool
with the name of the work pool you want the worker to poll for flow runs. 2. Optional – Securing Prefect Cloud API Key: If you're using Prefect Cloud and want to pass your API key to created jobs via a Kubernetes secret, set the 
PREFECT_KUBERNETES_WORKER_STORE_PREFECT_API_IN_SECRET
environment variable before starting your worker:
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bash
   export PREFECT_KUBERNETES_WORKER_STORE_PREFECT_API_IN_SECRET="true"
   prefect worker start --pool 'my-work-pool' --type kubernetes
Ensure that your worker has permission to create secrets in the same namespace that Kubernetes jobs are created in to execute flow runs. 3. Customization – Job Manifest Template: You can also use a custom Kubernetes job manifest template. The default template looks like:
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yaml
   ---
   apiVersion: batch/v1
   kind: Job
   metadata:
     labels: "{{ labels }}"
     namespace: "{{ namespace }}"
     generateName: "{{ name }}-"
   spec:
     ttlSecondsAfterFinished: "{{ finished_job_ttl }}"
     template:
       spec:
         parallelism: 1
         completions: 1
         restartPolicy: Never
         serviceAccountName: "{{ service_account_name }}"
         containers:
           #...
For more detailed information, you can check these links: - Prefect Kubernetes Worker configuration - Guide on deploying using Kubernetes If you have any specific needs or issues, do let me know!
n
im trying to deploy this prefect.yaml file
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deployments:
- name: my-deployment-test
  description: example for flow
  tags:
  - some_tag
  version: 1.0.0
  entrypoint: hello_world.py:hello_world
  infrastructure:
    type: kubernetes
  work_pool:
    name: k8s-pool
    work_queue_name: default
    job_variables:
      image: 091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9
      cpu_limit: '1'
      cpu_request: '1'
      memory_limit: 1Gi
      memory_request: 1Gi
  parameters: {}
  schedules: []
pull: []
but im keep getting pull steps which failed my k8s jobץ @Marvin
m
The cause of the failure in your Kubernetes job likely lies within the pull steps defined in your 
prefect.yaml
file. The pull steps can include actions like setting the working directory, pulling from a git repository, or copying from cloud storage, and they execute every time the deployment runs. ### Troubleshooting Steps 1. Review the Pull Steps: Ensure there are no unnecessary or conflicting pull steps in your 
prefect.yaml
. 2. Customize Image Pull Policy: The issue might be related to how Kubernetes handles image pulls. Make sure to use unique image tags, as the 
IfNotPresent
policy could result in outdated images being cached. ### Example prefect.yaml Adjustments Here's an example 
prefect.yaml
file adjusted to potentially fix common pull step issues:
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yaml
deployments:
- name: my-deployment-test
  description: example for flow
  tags:
  - some_tag
  version: 1.0.0
  entrypoint: hello_world.py:hello_world
  infrastructure:
    type: kubernetes
  work_pool:
    name: k8s-pool
    work_queue_name: default
    job_variables:
      image: <http://091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9|091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9>
      image_pull_policy: Always  # Adjust the image pull policy to ensure the latest image is used
      cpu_limit: '1'
      cpu_request: '1'
      memory_limit: 1Gi
      memory_request: 1Gi
  parameters: {}
  schedules: []
  pull: []  # Ensure this is empty if you don't need specific pull steps
Make sure the Docker image you are using is accessible from the Kubernetes cluster and is correctly tagged. If you keep encountering issues, validate that the cluster has proper permissions and configurations to pull images from the specified repository. ### Useful Documentation Links - Guide on Prefect deployment - Guide on deploying using Kubernetes If you require more specific adjustments or encounter additional errors, please provide the error logs, and I'll assist you further!
n
@Marvin im setting build, pull and push to [], but the cli keep asking me to fill these field whihc results in a wrong deployment
m
It seems you're encountering issues with the CLI asking for build, pull, and push fields despite setting them to empty arrays. This can happen if the CLI expects certain defaults or if the fields are required in some cases. ### Adjusting prefect.yaml Here’s a streamlined setup that might help bypass these interactive prompts:
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yaml
deployments:
- name: my-deployment-test
  description: example for flow
  tags:
  - some_tag
  version: 1.0.0
  entrypoint: hello_world.py:hello_world
  infrastructure:
    type: kubernetes
  work_pool:
    name: k8s-pool
    work_queue_name: default
    job_variables:
      image: <http://091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9|091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9>
      cpu_limit: '1'
      cpu_request: '1'
      memory_limit: 1Gi
      memory_request: 1Gi
  parameters: {}
  schedules: []
  build: []  # No build steps
  push: []   # No push steps
  pull: []   # No pull steps
### Additional Steps for CLI Issues 1. Use 
--field
to set values: You can bypass interactive prompts by providing values directly from the command line.
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bash
   prefect deploy --field build=[] --field push=[] --field pull=[]
2. Use Deployment Definition: Ensure that any mandatory fields are not empty if they are still causing issues. Providing minimal, non-empty values might help. ### Documentation & Issues - Prefect Deployment Guide - GitHub Issue on CLI Deployment Interaction ### Next Steps If you continue to encounter issues, please provide the exact CLI error messages or outputs for further assistance. This can help pinpoint the specific cause and correctly address it.
n
@Marvin is there a way to deploy not in interactive way?
m
Yes, you can deploy Prefect deployments in a non-interactive way. Here are the steps and a code example for automating the deployment process using CLI: ### Example prefect.yaml Ensure your 
prefect.yaml
is defined with build, push, and pull steps, even if they are empty arrays:
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yaml
deployments:
- name: my-deployment-test
  description: example for flow
  tags:
  - some_tag
  version: 1.0.0
  entrypoint: hello_world.py:hello_world
  infrastructure:
    type: kubernetes
  work_pool:
    name: k8s-pool
    work_queue_name: default
    job_variables:
      image: <http://091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9|091061493057.dkr.ecr.us-east-1.amazonaws.com/algo-prefect:test9>
      cpu_limit: '1'
      cpu_request: '1'
      memory_limit: 1Gi
      memory_request: 1Gi
  parameters: {}
  schedules: []
  build: []  # No build steps
  push: []   # No push steps
  pull: []   # No pull steps
### CLI Command for Non-Interactive Deployment You can use the 
--field
option to bypass the interactive sections:
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bash
prefect deploy --field build=[] --field push=[] --field pull=[] --name my-deployment-test
### Full Command Example Assuming your project directory contains the 
prefect.yaml
, run:
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bash
cd path/to/your/project
prefect deploy --all
### Automating in a Script Here’s a simple automation script that you can use:
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bash
#!/bin/bash

# Path to your project
PROJECT_PATH="/path/to/your/project"

# Move to project directory
cd ${PROJECT_PATH}

# Run the Prefect deployment
prefect deploy --all
### Documentation Links - Prefect Deployment Guide - Prefect CLI Options This setup should allow you to deploy Prefect flows in a non-interactive manner, suitable for CI/CD pipelines. If you still face issues, ensure you are on the latest version of Prefect and verify the syntax of your 
prefect.yaml
.
n
no matches found: build=[]
@Marvin im getting no matches found: build=[]
m
The error "no matches found: build=[]" suggests that the shell is interpreting the 
[]
characters as part of a shell expression. To avoid this issue, you can quote the arguments. ### Corrected Command Try quoting the arguments like this:
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bash
prefect deploy --field "build=[]" --field "push=[]" --field "pull=[]" --name my-deployment-test
### Script Example Here's a bash script that implements this:
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bash
#!/bin/bash

# Path to your project
PROJECT_PATH="/path/to/your/project"

# Move to project directory
cd ${PROJECT_PATH}

# Run the Prefect deployment
prefect deploy --field "build=[]" --field "push=[]" --field "pull=[]" --name my-deployment-test
### Additional Resources For further information, refer to these resources: - Prefect Deployment Guide - Prefect CLI Options This should enable a non-interactive deployment process for your Prefect workflows. Let me know if you run into any more issues!
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