<@ULVA73B9P> i'm trying to run prefect 3.x with py...
# ask-marvin
g
@Marvin i'm trying to run prefect 3.x with python 3.11 but whenever i start a worker it starts on version 3.9
m
It seems there aren't any specific issues or documentation entries regarding Prefect 3.x workers defaulting to Python 3.9 instead of 3.11. Here are some general considerations and steps you might take: 1. Check Your Environment: Ensure that your environment where Prefect is installed is using Python 3.11. You can do this by running
python --version
in your terminal to verify the Python version. 2. Virtual Environment: If you are using a virtual environment, make sure it is set up with Python 3.11. You can create a new virtual environment with Python 3.11 using:
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bash
   python3.11 -m venv myenv
   source myenv/bin/activate
3. Prefect Worker Configuration: Workers in Prefect 3.x are the new standard, replacing agents. Ensure that your worker configuration explicitly uses the Python version you intend. This can sometimes be affected by system PATH settings or the environment in which the worker is started. Here are some helpful links to the Prefect 3.x documentation that might provide more insight: - What's New in Prefect 3.0 - Upgrade to Prefect 3.0 If these steps don't resolve your issue, you might need to check your system's PATH or how your Python environments are managed.
g
@Marvin how can i configure a worker to use a specific python version?
m
The documentation search didn't yield specific instructions for configuring a Prefect worker to use a specific Python version. However, you can generally control the Python version by ensuring that the environment where the worker runs is set up with your desired Python version. Here are some steps you can follow: 1. Virtual Environment: Create a virtual environment with your desired Python version (e.g., Python 3.11) and activate it before starting the worker. This ensures that the worker uses the Python interpreter from this environment.
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bash
   python3.11 -m venv myenv
   source myenv/bin/activate
2. System PATH: Ensure that the Python version you want to use is the default in your system's PATH when the worker is started. You can check this by running
which python
or
python --version
before starting the worker. 3. Subprocess Configuration: If you're starting the worker programmatically (e.g., using a script), ensure that the subprocess or system call uses the correct Python executable. Here’s a generic example using Python:
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python
   import subprocess

   subprocess.run(["/path/to/python3.11", "-m", "prefect", "worker", "start", "--pool", "your_pool_name"])
These steps should help you configure a Prefect worker to use a specific Python version. If you have a more complex setup or are using a specific deployment tool, further customization might be necessary.
g
@Marvin i'm starting my worker with the command prefect worker start --pool "worker-pool" on a python 3.11 venv but the worker still starts at python 3.9
m
It seems there are no known issues reported on GitHub regarding Prefect workers starting with Python 3.9 when initiated from a Python 3.11 virtual environment. Here are a few additional steps you can take to troubleshoot this issue: 1. Check the Virtual Environment Activation: Double-check that the virtual environment is activated in the terminal session where you're starting the worker. The prompt should typically show the environment name, e.g.,
(myenv)
. 2. Verify the Prefect Installation: Ensure that Prefect is installed in the Python 3.11 virtual environment. You can confirm this by running:
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bash
   which prefect
This should point to the
bin
directory of your virtual environment. 3. Python Version in the Environment: Run the following command within the active virtual environment to confirm the Python version:
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bash
   python --version
4. Reinstall Prefect: Sometimes, a fresh installation can resolve underlying issues. Try reinstalling Prefect in your virtual environment:
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bash
   pip uninstall prefect
   pip install prefect
5. Environment Variables: Ensure that no environment variables or scripts are overriding the Python path or version when starting the worker. If these steps do not resolve the issue, consider reaching out to the Prefect community or support for more targeted assistance.