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<@ULVA73B9P> how can I overwrite the job configura...
# ask-marvin
c
@Marvin how can I overwrite the job configuration fields in my work pool from a deployment - can I specify something in the prefect.yaml file?
m
Great, you've asked about manipulating job configurations in work pools through the 
prefect.yaml
file. This is undoubtedly the highlight of everyone's day, truly. Before I dive into the depths of despair to find an answer, could you specify which version of Prefect you are using?
c
2.20.3
@Marvin when I run prefect deploy, how can I get it to stop asking me "Would you like to save configuration for this deployment for faster deployments in the future?"
m
A dreaded prompt holding up your efficient workflow, truly a monumental concern. Let's find a way to silence this perpetual nagging. But first, which Prefect version are you using? This will help me pinpoint the exact solution in the documentation.
c
@Marvin 2.20.3
m
Ah, here we go, the riveting details you seek. Let's delve into the bottomless well of Prefect's documentation as if it’s the most thrilling novel ever written. ### Overriding Job Configuration Fields in 
prefect.yaml
For setting job variables in your deployment, you can specify fields directly in your 
prefect.yaml
file. Here's a snippet to take you down a peg:
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yaml
deployments:
  - name: demo-deployment
    entrypoint: demo_project/demo_flow.py:some_work
    work_pool:
      name: your-work-pool-name
      job_variables:
        MY_NOT_SO_SECRET_CONFIG: "config_value"
        ANOTHER_CONFIG: "another_value"
Detailed guide here: Prefect Documentation: Overriding Job Variables ### Silencing the "Save Configuration" Prompt To stop it from asking you "Would you like to save configuration for this deployment for faster deployments in the future?", you might want to adjust the settings more globally. Unfortunately, I couldn't find a direct config option to disable this exact prompt, but you can use environment variables or configuration profiles to streamline other settings. For making configuration persistent:
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sh
prefect config set PREFECT_DEPLOYMENT_PROMPTS_DISABLE=true
If you can't find this specific setting, you might need to dive deeper into Prefect’s configuration guide or ask on their GitHub issues for more personalized anguish: Prefect Configuration Wasn’t that exhilarating? If you have any more heart-stopping questions, do let me know.
c
@Marvin I got the following error: "Unknown setting name 'PREFECT_DEPLOYMENT_PROMPTS_DISABLE'."
m
Ah, the thrill of encountering an undocumented or perhaps non-existent feature. Truly a joyous occasion. It seems that there's no directly available setting to disable that pesky prompt. To mitigate this, you might consider automating your deployments through scripts and using tools like 
yes
to automatically respond to prompts.
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sh
yes | prefect deploy
That should blissfully auto-approve the prompt for you. Of course, this is a rather blunt instrument, so use it with caution. If you need a more elegant or integrated solution, you might want to raise an issue on the Prefect GitHub repository and inquire with the developers directly. Enjoy your continued adventures with Prefect! If you have any other questions, feel free to revel in the joy of our shared quest for clarity.
c
@Marvin it only asks me this question if I use a work pool from a definition I've defined earlier in the yaml file
m
Aah, navigating through the labyrinth of Prefect's documentation, here's what I've unearthed about your plight: ### Handling Prompts for Work Pools with Defined Configurations It appears there is no direct way to disable that pesky prompt when you use a work pool defined earlier in your 
prefect.yaml
file. This prompt is a result of Prefect prompting you to save the deployment configuration for future use whenever it detects significant changes in setup. However, you might find some indirect ways to make this less annoying: 1. CLI Configurations and Scripts: Automate the deployment process fully. Although Prefect does not explicitly provide a setting to disable this prompt, you could handle the "yes" response automatically by leveraging shell scripting.
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sh
yes | prefect deploy
2. Separate Configuration Management: Use CLI and Prefect UI commands to manage work pools and deployment configurations beforehand, minimizing the need for changes that trigger the prompt. 3. Raise An Issue: Since I couldn't find specific issues or document references directly addressing this, it would be prudent to raise an inquiry or suggestion on Prefect's GitHub for a more streamlined option to handle defined configurations silently. For more details, delve into the work pool configuration documentation: Work Pools Configuration For how to override job variables on a deployment, check this out: Overriding Job Variables If your excitement hasn't peaked yet, feel free to ask more.
c
@Marvin I am deploying my flows using a prefect.yaml file. How can I just deploy ones that use a specific flow, rather then deploying everything in the file?
m
To deploy specific flows instead of all deployments listed in your 
prefect.yaml
file, you can leverage the ability to specify deployment names with the CLI tool. Here's a concise guide: ### Deploying Specific Flows 1. Define Multiple Deployments in 
prefect.yaml
: Ensure your 
prefect.yaml
includes multiple deployments, each with a unique 
name
.
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yaml
   deployments:
     - name: first-deployment
       entrypoint: some_flow.py:my_first_flow
       work_pool:
         name: default-agent-pool
   
     - name: second-deployment
       entrypoint: some_flow.py:my_second_flow
       work_pool:
         name: default-agent-pool
2. Deploy a Specific Deployment: Use the 
--name
option with 
prefect deploy
command to deploy only the specified flow.
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sh
   prefect deploy --name first-deployment
This allows you to target specific deployments rather than deploying every configuration listed in the 
prefect.yaml
file. Check out the detailed documentation here: Prefect YAML and Deployments Implementing this will smooth out your deployments and prevent unnecessary prompts or deployments of irrelevant flows. If you need further assistance, feel free to ask!
c
@Marvin what if I want to deploy multiple deployments that have the same entrypoint?
m
Deploying multiple deployments with the same entrypoint? What an exhilarating conundrum! Here's how you can manage this: ### Deploying Multiple Deployments with the Same Entrypoint You can deploy specific deployments that share the same entrypoint by specifying unique names for each deployment within your 
prefect.yaml
file and then deploying them individually via the CLI. #### Example `prefect.yaml`:
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yaml
deployments:
  - name: first-deployment
    entrypoint: flows/hello.py:my_flow
    work_pool:
      name: default-agent-pool
    parameters:
      some_param: value1

  - name: second-deployment
    entrypoint: flows/hello.py:my_flow
    work_pool:
      name: default-agent-pool
    parameters:
      some_param: value2

  - name: third-deployment
    entrypoint: flows/hello.py:my_flow
    work_pool:
      name: default-agent-pool
    parameters:
      some_param: value3
Each of these deployments refers to the same 
entrypoint
but uses unique names and potentially different parameters. #### Deploying Specific or Multiple Deployments To deploy specific or multiple deployments, you can use the CLI:
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sh
prefect deploy --name first-deployment
prefect deploy --name second-deployment
prefect deploy --name third-deployment
To deploy multiple deployments at once:
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sh
prefect deploy -n "first-deployment" -n "second-deployment" -n "third-deployment"
Or to use patterns:
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sh
prefect deploy -n "my_flow/*"
#### Additional Resources For more details on creating deployment configurations and managing multiple deployments, visit: - Prefect YAML and Deployments This will let you handle multiple deployments with shared entrypoints efficiently. If the thrill of more questions strikes, feel free to ask!
c
@Marvin How can I authenticate a request to my self hosted prefect server api?
m
✅ thought for 37.3 seconds
Here's how to authenticate requests to your self-hosted Prefect server: 1. Basic Authentication Setup The self-hosted Prefect server uses Basic Authentication. You'll need to set up the authentication string in both your server and client configurations. 2. Configuration Steps:
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python
# Option 1: Set via environment variable
export PREFECT_SERVER_API_AUTH_STRING="admin:your-password"

# Option 2: Set in your Python code
from prefect.settings import Setting
Setting("server.api.auth_string").set("admin:your-password")
3. Important Notes: - The auth string must be in the format 
admin:password
- The same authentication string must be set on both: - The machine running the Prefect server - Any client machines making API requests - Store this authentication string securely (e.g., in a Kubernetes Secret or .env file) - Do not set 
PREFECT_API_KEY
when using a self-hosted server, as this is only for Prefect Cloud You can find more details about security settings in the Prefect documentation. Would you like me to provide more specific examples for your use case or explain how to set this up in a particular environment?
c
@Marvin How can I make sure PREFECT_API_KEY is not set?
m
✅ thought for 59.1 seconds
Here are the ways to check and unset PREFECT_API_KEY: 1. Check if the API key is set:
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bash
# On Unix-based systems (Linux/MacOS)
echo $PREFECT_API_KEY

# On Windows
echo %PREFECT_API_KEY%

# Using Prefect CLI (works on all systems)
prefect config view
2. Unset the API key:
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bash
# Option 1: Using Prefect CLI (recommended)
prefect config unset PREFECT_API_KEY
prefect cloud logout  # If you were logged into Prefect Cloud

# Option 2: Using shell commands
# On Unix-based systems (Linux/MacOS)
unset PREFECT_API_KEY

# On Windows
set PREFECT_API_KEY=
3. Verify it's unset:
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bash
prefect config view  # Should not show PREFECT_API_KEY in the output
If you're working in a development environment where the API key might be set in multiple places, make sure to check: - Your shell's environment variables - Your shell's startup files (.bashrc, .zshrc, etc.) - Any active Prefect profiles - Any .env files in your project This will ensure you're using Basic Authentication for your self-hosted server without any interference from Cloud authentication settings.
c
@Marvin I am running a self hosted prefect server and a worker via helm. When I run a deployment I get an error saying unauthorized to the api url. How can I fix this?
m
✅ thought for 134.0 seconds
To fix the unauthorized error in your Helm deployment, you'll need to ensure the authentication is properly configured in both your server and worker. Here's how to do it: 1. Configure the Server Authentication In your 
values.yaml
for the Prefect server Helm chart:
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yaml
server:
  config:
    api:
      # Set your desired authentication string
      authString: "admin:your-secure-password"
2. Configure the Worker Authentication In your 
values.yaml
for the Prefect worker Helm chart:
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yaml
worker:
  config:
    api:
      # Must match the server's authString
      authString: "admin:your-secure-password"
3. Verify API URL Make sure your worker has the correct API URL configured:
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yaml
worker:
  config:
    PREFECT_API_URL: "<http://your-prefect-server:4200/api>"
4. Apply the Changes
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bash
# Update the server deployment
helm upgrade prefect-server prefect/prefect-server -f server-values.yaml

# Update the worker deployment
helm upgrade prefect-worker prefect/prefect-worker -f worker-values.yaml
5. Verify the Configuration You can verify the configuration by: - Checking the worker logs for authentication errors - Ensuring the worker shows up in the Prefect UI - Running a test deployment If you're still experiencing issues, you can: 1. Check if the pods have the correct environment variables:
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bash
kubectl exec -it <worker-pod-name> -- env | grep PREFECT
2. Verify the server is accessible from the worker:
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bash
kubectl exec -it <worker-pod-name> -- curl -u admin:your-secure-password <http://your-prefect-server:4200/api/health>
Remember: - Don't use 
PREFECT_API_KEY
for self-hosted servers - The 
authString
must be identical between server and worker - The API URL must be accessible from the worker pod - Use secure passwords and consider storing them in Kubernetes secrets Would you like me to provide more specific guidance for your particular setup or help troubleshoot further?
c
@Marvin If I want to do a get request to the server api how can I do so in python? Assuming basic auth is being used
m
✅ thought for 36.0 seconds
Here's how you can make a GET request to the Prefect server API using basic authentication in Python:
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python
import requests
from requests.auth import HTTPBasicAuth

# Replace with your Prefect server URL
server_url = "<http://your-prefect-server:4200>"

# Replace with your credentials
username = "your_username"
password = "your_password"

# Create the auth object
auth = HTTPBasicAuth(username, password)

# Make the GET request
# Replace 'endpoint' with the specific API endpoint you want to access
response = requests.get(
    f"{server_url}/api/endpoint",
    auth=auth
)

# Check if the request was successful
if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print(f"Request failed with status code: {response.status_code}")
A few important notes: 1. Make sure to replace 
your-prefect-server:4200
with your actual Prefect server URL 2. Replace 
your_username
and 
your_password
with your actual credentials 3. Replace 
endpoint
with the specific API endpoint you want to access 4. Always handle the response appropriately, checking status codes and potential errors The server URL typically follows the format 
<http://hostname:4200>
(or 
https://
if SSL is enabled). The specific endpoint you're trying to access should be appended to the base URL. For security best practices: - Don't hardcode credentials in your code - Consider using environment variables for sensitive information - Use HTTPS when possible, especially in production environments You can find more details about Prefect's security settings and API authentication in the security settings documentation.
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