https://prefect.io logo
Join Slack
Powered by
<@ULVA73B9P> buidl prefect yaml to run this flow ...
# ask-marvin
m
@Marvin buidl prefect yaml to run this flow from prefect import flow, task import httpx @task(retries=2) def get_cat_fact(): """A simple task to fetch a cat fact.""" url = "https://catfact.ninja/fact" with httpx.Client() as client: response = client.get(url) response.raise_for_status() fact = response.json()["fact"] print(f"Cat Fact: {fact}") return fact @flow(name="Cat Fact Flow", log_prints=True) def cat_fact_flow(): """ A flow that fetches a cat fact and prints it. This flow will be run by our Prefect worker. """ print("Starting the cat fact flow!") get_cat_fact() print("Flow finished successfully.") # if name == "__main__": # cat_fact_flow.deploy( # name="cat-fact-deployment", # work_pool_name="my-pool", # image="cat-facts-image:latest", # push=False # ) if name == "__main__": cat_fact_flow.deploy( name="my-deployment-2", work_pool_name="my-docker-pool-2", image="my-registry.com/my-docker-image:my-tag", push=False # switch to True to push to your image registry )
m
✅ thought for 17.6 seconds
Based on your flow code and the current Prefect deployment standards, I'll help you create a deployment.yaml file. The flow is using a Docker-based deployment with a custom image, so we'll need to specify those details in the YAML. Here's the deployment.yaml file you should create:
Copy code
yaml
# deployment.yaml
prefect:
  version: 2

entrypoint: "cat_facts.py:cat_fact_flow"  # Assuming your file is named cat_facts.py
name: "my-deployment-2"

work_pool:
  name: "my-docker-pool-2"

build:
  image: "<http://my-registry.com/my-docker-image:my-tag|my-registry.com/my-docker-image:my-tag>"
  push: false  # Set to true when you want to push to your registry

schedule: null  # No schedule defined, but you can add one if needed
To use this deployment: 1. Save your flow code in a file named 
cat_facts.py
2. Save the above YAML as 
deployment.yaml
in the same directory 3. Make sure your Docker work pool 
my-docker-pool-2
exists 4. Deploy using the command:
Copy code
bash
prefect deploy
Some important notes: 1. The 
entrypoint
should point to your Python file and flow function name, separated by a colon 2. The 
name
, 
work_pool.name
, and 
build.image
values match what you specified in your Python code 3. The 
push: false
setting matches your configuration to not push the image 4. You can add a schedule later if needed using the 
schedule
field If you want to verify the deployment was created successfully, you can run:
Copy code
bash
prefect deployment ls
To run the deployment after creating it:
Copy code
bash
prefect deployment run 'Cat Fact Flow/my-deployment-2'
Make sure you have: 1. A running worker for the 
my-docker-pool-2
work pool 2. Access to the Docker image specified in the configuration 3. The required dependencies (httpx) installed in your Docker image Would you like me to explain any part of this configuration in more detail?
m
@Marvin user prefect 3
m
✅ thought for 45.8 seconds
Let me create the appropriate 
prefect.yaml
file for your cat facts flow in Prefect 3.x format:
Copy code
yaml
# prefect.yaml
prefect:
  version: 3

deployments:
  - name: "my-deployment-2"
    entrypoint: "cat_facts.py:cat_fact_flow"
    work_pool:
      name: "my-docker-pool-2"

    pull:
      - prefect.deployments.steps.pull_from_registry:
          image: "<http://my-registry.com/my-docker-image:my-tag|my-registry.com/my-docker-image:my-tag>"

    build:
      - prefect.deployments.steps.run_shell_script:
          script: |
            pip install httpx

    push:
      - prefect.deployments.steps.push_to_registry:
          image: "<http://my-registry.com/my-docker-image:my-tag|my-registry.com/my-docker-image:my-tag>"
          push: false  # Set to true when you want to push to registry
To use this deployment: 1. Save your flow code in 
cat_facts.py
2. Save the above YAML as 
prefect.yaml
in the same directory 3. Deploy using:
Copy code
bash
prefect deploy
Key differences from Prefect 2.x: 1. The version is now 
3
2. The structure uses explicit 
deployments
list 3. Build, pull, and push steps are more explicitly defined 4. Steps are modular and can be customized with different actions To run the deployment after creating it:
Copy code
bash
prefect deployment run 'Cat Fact Flow/my-deployment-2'
Important notes: 1. Make sure your Docker work pool 
my-docker-pool-2
exists and has a worker running 2. Ensure you have access to the specified Docker registry 3. The 
httpx
package is included in the build steps 4. Set 
push: true
when you're ready to push to your registry Would you like me to explain any part of this configuration or would you like to know how to add additional features like schedules or parameters?
m
@Marvin got an error during deployement The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/mip/ds-pipelines/venv/lib/python3.10/site-packages/prefect/cli/_utilities.py", line 44, in wrapper return fn(*args, **kwargs) File "/home/mip/ds-pipelines/venv/lib/python3.10/site-packages/prefect/cli/_types.py", line 156, in sync_fn return asyncio.run(async_fn(*args, **kwargs)) File "/usr/lib/python3.10/asyncio/runners.py", line 44, in run return loop.run_until_complete(main) File "/usr/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete return future.result() File "/home/mip/ds-pipelines/venv/lib/python3.10/site-packages/prefect/cli/deploy.py", line 483, in deploy await _run_single_deploy( File "/home/mip/ds-pipelines/venv/lib/python3.10/site-packages/prefect/cli/deploy.py", line 703, in _run_single_deploy await run_steps(push_steps, step_outputs, print_function=app.console.print) File "/home/mip/ds-pipelines/venv/lib/python3.10/site-packages/prefect/deployments/steps/core.py", line 194, in run_steps raise StepExecutionError(f"Encountered error while running {fqn}") from exc prefect.deployments.steps.core.StepExecutionError: Encountered error while running prefect.deployments.steps.push_to_registry An exception occurred. steps i fallowed (venv) mip@mpathirana:~/ds-pipelines/src$ prefect deploy ? Would you like to use an existing deployment configuration? [Use arrows to move; enter to select; n to select none] ┏━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Name ┃ Entrypoint ┃ Description ┃ ┡━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ > │ my-deployment-3 │ flows/test_flow.py:cat_fact_flow │ None │ │ │ │ │ No, configure a new deployment │ └────┴─────────────────┴──────────────────────────────────┴────────────────────────────────┘ ? Would you like to build a custom Docker image for this deployment? [y/n] (n): n Running deployment build steps... > Running run_shell_script step... Requirement already satisfied: httpx in /home/mip/ds-pipelines/venv/lib/python3.10
m
✅ thought for 25.2 seconds
I notice that your work pool 
my-docker-pool-2
is not listed. Let's create it:
Copy code
bash
prefect work-pool create my-docker-pool-2 --type docker
Then try to deploy again with these steps: 1. Create the work pool:
Copy code
bash
prefect work-pool create my-docker-pool-2 --type docker
2. Deploy the flow:
Copy code
bash
prefect deploy
3. Start a worker for your work pool:
Copy code
bash
prefect worker start --pool my-docker-pool-2
If you still get an error, could you please: 1. Share the complete error message 2. Confirm if you have Docker installed and running on your system 3. Let me know if you're trying to use a specific Docker image or if you want to use the default Prefect images Also, since you're using a specific path 
flows/test_flow.py
, please make sure: 1. Your flow file is actually in a 
flows
subdirectory 2. The file is named 
test_flow.py
3. The flow function is named 
cat_fact_flow
Would you like me to help you troubleshoot further based on any of these points?
m
@Marvin no prefect work is live (venv) mip@mpathirana:~/ds-pipelines/src$ docker run \ --rm \ -v /var/run/docker.sock:/var/run/docker.sock \ --network="host" \ -e "PREFECT_API_URL=http://localhost:4200/api" \ prefect-worker-image \ prefect worker start -p my-docker-pool-2 --type docker Worker 'DockerWorker dae8d8bf-518a-4fea-9e0e-2544f31739d6' started!
m
✅ thought for 10.2 seconds
Ah, I see you have the worker running with Docker. In this case, let's modify the deployment configuration to work correctly with your setup. Since you have: 1. A Docker-based worker running 2. The worker connected to your local Prefect API 3. The worker has access to Docker socket Let's update the 
prefect.yaml
to work with this configuration:
Copy code
yaml
# prefect.yaml
prefect:
  version: 3

deployments:
  - name: "my-deployment-2"
    entrypoint: "flows/test_flow.py:cat_fact_flow"
    work_pool:
      name: "my-docker-pool-2"
      job_variables:
        image: "prefecthq/prefect:2-python3.10"  # Using a standard Prefect image
        volumes:
          - "/var/run/docker.sock:/var/run/docker.sock"  # Match your worker's Docker socket mount

    build:
      - prefect.deployments.steps.run_shell_script:
          script: |
            pip install httpx
A few important points: 1. Make sure your 
flows/test_flow.py
file is accessible from where you're running the deployment command 2. The worker is running with the correct permissions to access Docker 3. The API URL in your worker command matches your Prefect server Try deploying again:
Copy code
bash
prefect deploy
Then you can run the deployment:
Copy code
bash
prefect deployment run 'Cat Fact Flow/my-deployment-2'
If you still get an error, could you please: 1. Share the complete error message 2. Confirm that your flow file is in the correct location (
flows/test_flow.py
) 3. Let me know if you see the deployment in the UI after running 
prefect deploy
Also, just to verify - are you able to see your work pool and worker in the Prefect UI at 
<http://localhost:4200>
?
Open in Slack
PreviousNext
Powered by