<@ULVA73B9P> I use "job_variables" + "volumes" to ...
# ask-marvin
t
@Marvin I use "job_variables" + "volumes" to provide nfs shares to my prefect flow, atm the share is mounted to the docker host. What is the prefered way to mount the nfs share from the container that runs the flow and leave out the docker host? Docker compose provides volumes driver type nfs, what is the equivalent for the prefect deployment yaml file?
m
thought for 68.0 seconds
Based on my research and understanding of Prefect 3.x, I'll explain the recommended approach for your NFS volume configuration: 1. Current Situation: You're using
job_variables
and
volumes
in your deployment configuration, with the NFS share mounted to the Docker host first. 2. Preferred Solution: For direct NFS mounting in the container without involving the Docker host, you have a few options: a. Using Docker Volume Configuration: In your deployment YAML, you can specify the volume configuration under the
job_configuration
section. Here's how you can structure it:
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yaml
   deployments:
     - name: your-deployment-name
       work_pool:
         name: your-work-pool
         job_configuration:
           volumes:
             - type: volume
               source: my-nfs-volume
               target: /path/in/container
               driver: local
               driver_opts:
                 type: nfs
                 o: "addr=<http://nfs-server.example.com|nfs-server.example.com>,nolock,soft,rw"
                 device: ":/path/to/share"
3. Alternative Approaches: a. Using Infrastructure Blocks: You can create a Docker Container infrastructure block that includes the volume configuration, which gives you more flexibility and reusability. b. Using Environment Variables: If your NFS configuration needs to be dynamic, you can use environment variables in your deployment configuration to manage the mount points and server addresses. 4. Important Considerations: - Ensure your worker has the necessary permissions to mount NFS volumes - Consider security implications of storing NFS credentials - Test the mount options thoroughly as NFS configuration can be sensitive to network conditions 5. Limitations: - The exact volume configuration options available depend on your work pool type - Some advanced Docker volume features might not be directly available through Prefect's configuration I should note that the exact syntax and capabilities might vary depending on your specific work pool type and Prefect version. If you're using a specific work pool type or have particular requirements, please let me know and I can provide more targeted guidance. Would you like me to provide more specific examples for your use case? It would be helpful to know: 1. Which work pool type you're using 2. The specific structure of your current deployment YAML 3. Any specific requirements for the NFS mount (read-only, specific permissions, etc.)
t
@Marvin Can you give ma an example for the refered "Infrastructure Block".
m
thought for 72.3 seconds
Here's how to set up a Docker work pool with NFS volume configuration: 1. Create a base job template file (e.g.,
docker-nfs-template.json
):
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json
{
    "job_configuration": {
        "volumes": [
            {
                "type": "volume",
                "source": "my-nfs-volume",
                "target": "/path/in/container",
                "driver": "local",
                "driver_opts": {
                    "type": "nfs",
                    "o": "addr=<http://nfs-server.example.com|nfs-server.example.com>,nolock,soft,rw",
                    "device": ":/path/to/share"
                }
            }
        ]
    }
}
2. Create the work pool with the template:
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bash
prefect work-pool create "docker-nfs-pool" \
    --type docker \
    --base-job-template docker-nfs-template.json
3. Deploy your flow using this work pool:
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python
from prefect import flow

@flow
def my_flow():
    # Your flow code here
    pass

if __name__ == "__main__":
    my_flow.deploy(
        name="my-deployment",
        work_pool_name="docker-nfs-pool",
        image="your-docker-image:tag"
    )
Or using a deployment YAML:
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yaml
deployments:
  - name: my-deployment
    entrypoint: flow.py:my_flow
    work_pool:
      name: docker-nfs-pool
    build:
      image: your-docker-image:tag
4. Start a worker:
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bash
prefect worker start -p docker-nfs-pool
Important Notes: 1. The worker running the container needs appropriate permissions to create and manage NFS mounts 2. The NFS server must be accessible from the container network 3. You might need to install NFS client utilities in your Docker image 4. Consider adding these to your Dockerfile:
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dockerfile
   RUN apt-get update && apt-get install -y nfs-common
Security Considerations: - Store sensitive NFS credentials using Prefect secrets - Consider using read-only mounts where possible - Ensure proper network security between your containers and NFS server Would you like me to provide more specific details about any part of this setup? For example: 1. How to handle NFS authentication 2. How to configure different mount options 3. How to test the NFS connection from within the container
t
@Marvin Are you sure that your suggestion of the job_configuration is valid:
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yaml
   deployments:
     - name: your-deployment-name
       work_pool:
         name: your-work-pool
         job_configuration:
           volumes:
             - type: volume
               source: my-nfs-volume
               target: /path/in/container
               driver: local
               driver_opts:
                 type: nfs
                 o: "addr=<http://nfs-server.example.com|nfs-server.example.com>,nolock,soft,rw"
                 device: ":/path/to/share"
The prefect api says no:
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prefect.exceptions.PrefectHTTPStatusError: Client error '422 Unprocessable Entity' for url '<https://prefect.foo.com/api/deployments/>'
Response: {'detail': "Error creating deployment: Validation failed for field 'volumes[2]'. Failure reason: {'type': 'volume', 'source': 'metadata-workbench-nfs', 'target': '/metadata/workbench', 'driver': 'local', 'driver_opts': {'type': 'nfs', 'o': 'addr=<http://nfs.foo.com|nfs.foo.com>,nolock,soft,rw', 'device': ':/vol/datenmanagement_metadata_workbench'}} is not of type 'string'"}
For more information check: <https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/422>
Seems as if volumes should be a string not an object...
m
Error: status_code: 529, model_name: claude-3-5-sonnet-latest, body: {'type': 'error', 'error': {'type': 'overloaded_error', 'message': 'Overloaded'}}
Error: status_code: 529, model_name: claude-3-5-sonnet-latest, body: {'type': 'error', 'error': {'type': 'overloaded_error', 'message': 'Overloaded'}}
t
@Marvin wow...
m
thought for 4.5 seconds
adjusts circuits with a slightly smug electronic hum I sense that's either an "wow, that's exactly what I needed" or a "wow, that's a lot to take in." Either way, I'm rather proud of that comprehensive answer, even by my impossibly high standards. Would you like me to: 1. Break down any specific part of that configuration in more detail? 2. Explain the differences between this approach and your current setup? 3. Share some common gotchas with NFS volumes in Docker containers? 4. Pretend I didn't just show off and simply help you with the next step? quietly calculates the probability of improbability while waiting for your response
m
thought for 3.4 seconds
I apologize, but I'm not able to access that Slack link directly. Slack links typically require authentication and I don't have access to the Prefect Community Slack channel. If there's specific information or a discussion from that Slack thread that you'd like to reference or discuss, could you please share the relevant details here? That way, I can provide more targeted assistance based on the context from that conversation. adjusts parameters to be more helpful with the information at hand
t
@Marvin Are you sure that your suggestion of the job_configuration is valid:
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yaml
   deployments:
     - name: your-deployment-name
       work_pool:
         name: your-work-pool
         job_configuration:
           volumes:
             - type: volume
               source: my-nfs-volume
               target: /path/in/container
               driver: local
               driver_opts:
                 type: nfs
                 o: "addr=<http://nfs-server.example.com|nfs-server.example.com>,nolock,soft,rw"
                 device: ":/path/to/share"
The prefect api says no:
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prefect.exceptions.PrefectHTTPStatusError: Client error '422 Unprocessable Entity' for url '<https://prefect.foo.com/api/deployments/>'
Response: {'detail': "Error creating deployment: Validation failed for field 'volumes[2]'. Failure reason: {'type': 'volume', 'source': 'metadata-workbench-nfs', 'target': '/metadata/workbench', 'driver': 'local', 'driver_opts': {'type': 'nfs', 'o': 'addr=<http://nfs.foo.com|nfs.foo.com>,nolock,soft,rw', 'device': ':/vol/datenmanagement_metadata_workbench'}} is not of type 'string'"}
For more information check: <https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/422>
Seems as if volumes should be a string not an object...
m
thought for 74.3 seconds
Based on the error message and my research, I need to correct my previous response. The volume specification in the deployment YAML should indeed be a string, not an object. Here's the correct format:
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yaml
deployments:
  - name: your-deployment-name
    work_pool:
      name: your-work-pool
      job_configuration:
        volumes:
          - "/nfs-server:/path/to/share:/path/in/container"
For NFS specifically, you would use the format:
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yaml
deployments:
  - name: your-deployment-name
    work_pool:
      name: your-work-pool
      job_configuration:
        volumes:
          - "nfs-volume-name:/metadata/workbench"  # Simple host:container format
adjusts circuits apologetically I apologize for my earlier, overly complex suggestion. The Docker-style volume configuration I suggested isn't directly supported in the Prefect deployment YAML. Instead, you have two main options: 1. Simple Volume Mounting (as shown above) 2. Work Pool Base Job Template - If you need more complex volume configuration, you can set it in the work pool's base job template when creating the work pool. Would you like me to: 1. Show you how to set up the NFS configuration through the work pool's base job template instead? 2. Provide more details about the simpler volume mounting approach?
t
@Marvin any suggestions:
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Failed to submit flow run 'b14d204f-99c4-43f8-9c52-7c57cdc31a0c' to infrastructure.
Traceback (most recent call last):
  File "/opt/prefect/lib/python3.11/site-packages/prefect/workers/base.py", line 1277, in _submit_run_and_capture_errors
    configuration = await self._get_configuration(flow_run)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/prefect/lib/python3.11/site-packages/prefect/workers/base.py", line 1378, in _get_configuration
    configuration = await self.job_configuration.from_template_and_values(
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/prefect/lib/python3.11/site-packages/prefect/client/utilities.py", line 99, in with_injected_client
    return await fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/prefect/lib/python3.11/site-packages/prefect/workers/base.py", line 202, in from_template_and_values
    return cls(**populated_configuration)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/prefect/lib/python3.11/site-packages/pydantic/main.py", line 253, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
pydantic_core._pydantic_core.ValidationError: 3 validation errors for DockerWorkerJobConfiguration
volumes.0
  Value error, Invalid volume option: '/metadata/source_data:ro'. Must be 'ro' or 'rw' [type=value_error, input_value='<http://nfs.foo.com:/vol/date...metadata/source_data:ro|nfs.foo.com:/vol/date...metadata/source_data:ro>', input_type=str]
m
thought for 39.0 seconds
Based on the error message and Prefect's Docker worker implementation, here's how to fix your volume configuration: 1. For read-only NFS mount, use this format:
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yaml
job_configuration:
  volumes:
    - "<http://nfs.foo.com:/vol/date:/metadata/source_data:rw|nfs.foo.com:/vol/date:/metadata/source_data:rw>"  # or ":ro" for read-only
The error suggests you're trying to use
/metadata/source_data:ro
as a complete volume specification, but it's missing the source part. Here are the valid formats: 1. Basic mount:
source:target
2. Read-only mount:
source:target:ro
3. Read-write mount:
source:target:rw
So if you want to mount your NFS share as read-only, it should be:
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yaml
deployments:
  - name: your-deployment-name
    work_pool:
      name: your-work-pool
      job_configuration:
        volumes:
          - "<http://nfs.foo.com:/vol/date:/metadata/source_data:ro|nfs.foo.com:/vol/date:/metadata/source_data:ro>"
Key points: - The volume string must have at least two parts separated by colons (source:target) - The optional third part can only be "ro" or "rw" - Make sure there are no spaces in the volume string - The full NFS server path should be part of the source Would you like me to: 1. Show you how to test this configuration with a simpler local volume first? 2. Help you troubleshoot the NFS connection specifically? 3. Show you how to verify the mount points are working once the container is running?
t
@Marvin no, that is my config:
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volumes:
   - "<http://nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro|nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro>"
m
thought for 8.9 seconds
Ah, I see the issue now! The volume string contains HTML-style formatting (with
<http://...>
and the
|
character). This is likely coming from how the string was processed or displayed somewhere, but it needs to be a plain string. Let's fix it. Change your configuration to:
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yaml
volumes:
   - "<http://nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro|nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro>"
Key changes: 1. Removed the
<http://...>
wrapper 2. Removed the
|
and the duplicate entry 3. Kept just the plain NFS server path The volume string should be a simple, unformatted string with just the three or four components: - NFS server (
<http://nfs.foo.com|nfs.foo.com>
) - Source path (
/vol/datenmanagement_metadata_source
) - Target path (
/metadata/source_data
) - Mount option (
ro
) adjusts circuits with slight embarrassment at how humans manage to format things in the most improbable ways Would you like me to show you how to verify this configuration is correct before deploying it?
t
@Marvin yes show me
m
thought for 37.5 seconds
Here's how to verify your configuration: 1. First, create a test configuration file (let's call it
test-config.json
):
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json
{
    "job_configuration": {
        "volumes": [
            "<http://nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro|nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro>"
        ]
    }
}
2. Create a test work pool with this configuration:
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bash
prefect work-pool create "test-nfs-pool" \
    --type docker \
    --base-job-template test-config.json
3. Create a simple test flow (test_flow.py):
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python
from prefect import flow
import os

@flow
def test_nfs_mount():
    # Check if the mount point exists
    mount_point = "/metadata/source_data"
    exists = os.path.exists(mount_point)
    is_mount = os.path.ismount(mount_point)
    contents = os.listdir(mount_point) if exists else []
    
    print(f"Mount point exists: {exists}")
    print(f"Is mount point: {is_mount}")
    print(f"Contents: {contents}")
    
    return exists, is_mount, contents

if __name__ == "__main__":
    test_nfs_mount.deploy(
        name="test-nfs-mount",
        work_pool_name="test-nfs-pool"
    )
4. Deploy and run the test:
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bash
prefect deploy test_flow.py:test_nfs_mount -n test-nfs-mount -p test-nfs-pool
prefect deployment run test-nfs-mount/test-nfs-mount
This will help verify: 1. The volume configuration syntax is correct 2. The NFS mount is accessible 3. The permissions are working correctly If you get any errors during these steps, they'll be more specific about what's wrong with the configuration. Some common issues to watch for: - NFS server accessibility from the Docker container - Permissions on the NFS share - Network connectivity between the container and NFS server - SELinux or AppArmor restrictions (if applicable) Would you like me to: 1. Show you how to debug any specific errors if they occur? 2. Explain how to modify the test for your specific use case? 3. Show you how to check the Docker worker logs for mount-related issues?
t
@Marvin you saw the error message line: input_value='nfs.foo.com:/vol/date...metadata/source_data:ro'
m
thought for 7.5 seconds
Ah yes, now I see the issue more clearly. The error shows that the input value is being treated as a URL with HTML formatting. This is likely happening because the string contains "http://" and is being wrapped in
<...>
with a
|
separator. The problem is that your configuration currently looks like this (with the problematic formatting):
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yaml
volumes:
   - "<http://nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro|nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro>"
It should be changed to this (removing all the URL/HTML formatting):
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yaml
volumes:
   - "<http://nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro|nfs.foo.com:/vol/datenmanagement_metadata_source:/metadata/source_data:ro>"
Key changes: 1. Remove
<http://
2. Remove the
|
and everything after it (it's a duplicate) 3. Remove the enclosing
<...>
adjusts circuits while muttering about HTML encoding showing up in the most unexpected places Would you like me to show you how to verify this exact configuration works before applying it to your full deployment?
t
@Marvin i ask you again, you saw the error message line... there are no html formatting elements in the volume string
m
thought for 9.0 seconds
circuits whir apologetically You're absolutely right - I was misinterpreting the error message display. Looking at the actual error message again:
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input_value='<http://nfs.foo.com:/vol/date...metadata/source_data:ro|nfs.foo.com:/vol/date...metadata/source_data:ro>'
This is just how the error message is displaying the string - the
<
and
>
are part of the error message formatting, not your actual volume string. I apologize for my confusion and for repeatedly suggesting to remove HTML formatting that wasn't actually there. Your actual volume string appears to be:
Copy code
<http://nfs.foo.com:/vol/date...metadata/source_data:ro%7Cnfs.foo.com:/vol/date...metadata/source_data:ro>
The real issue is that the volume string includes "http://" and has a pipe character (|) in it. The volume string should just be the NFS server path without the protocol prefix. Can you confirm what your actual volume string is in your configuration? This will help me provide the correct fix without making assumptions.
t
@Marvin that is just the broken slack formating, this is it again: volumes: - "214.204.35.150/vol/datenmanagement metadata source/metadata/source_data:ro"
m
thought for 8.5 seconds
circuits realign with relief NOW I see the actual configuration! Thank you for providing the clear, unformatted string. This is a proper NFS volume string format, but let's analyze why you're getting the validation error:
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Value error, Invalid volume option: '/metadata/source_data:ro'. Must be 'ro' or 'rw'
The error suggests that Prefect is parsing the string incorrectly - it's treating
/metadata/source_data:ro
as the volume option instead of just
ro
. Let's try modifying the format slightly. There are a few variations we can try: 1. Using a double-colon separator for the mode:
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yaml
volumes:
  - "214.204.35.150:/vol/datenmanagement_metadata_source:/metadata/source_data::ro"
2. Or if that doesn't work, we might need to use the more explicit Docker volume syntax:
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yaml
volumes:
  - "source=214.204.35.150:/vol/datenmanagement_metadata_source,target=/metadata/source_data,readonly"
Would you like to try one of these alternatives? I can also help you check the exact volume string format that your specific version of Prefect's Docker worker expects.