< Marvin> in this prefect yaml file version 2 0 build pull d Prefect Community #ask-marvin

<@ULVA73B9P> in this prefect.yaml file: version: ...

Dijar Vrella

06/24/2024, 11:50 AM

@Marvin in this prefect.yaml file: version: 2.0 build: {} pull: {} deployments: - name: pull_and_run_image version: 1.0 entrypoint: "/opt/prefect/flow.py:pull_and_run_image" work_queue_name: default description: A flow to pull and run nginx:latest Docker container storage: {} infrastructure: type: docker-container image: seedoo-prefect-agent:latest tags: [] parameters: {} work_pool: name: seedoo-container-worker work_queue_name: version: 2.0 build: {} pull: {} deployments: - name: pull_and_run_image version: 1.0 entrypoint: "/opt/prefect/flow.py:pull_and_run_image" work_queue_name: default description: A flow to pull and run nginx:latest Docker container storage: {} infrastructure: type: docker-container image: seedoo-prefect-agent:latest tags: [] parameters: {} work_pool: name: seedoo-container-worker work_queue_name: job_variables: {} schedules: [] build: pull: - prefect.deployments.steps.set_working_directory: directory: /opt/prefect what is the build and pull under work_pool do?

Marvin

06/24/2024, 11:50 AM

Your message was too long by 33 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

in this prefect.yaml file:

version: 2.0 build: {} pull: {} deployments: - name: pull_and_run_image version: 1.0 entrypoint: "/opt/prefect/flow.py:pull_and_run_image" work_queue_name: default description: A flow to pull and run nginx:latest Docker container storage: {} infrastructure: type: docker-container image: seedoo-prefect-agent:latest tags: [] parameters: {} work_pool: name: seedoo-container-worker work_queue_name: version: 2.0 build: {} pull: {} deployments: - name: pull_and_run_image version: 1.0 entrypoint: "/opt/prefect/flow.py:pull_and_run_image" work_queue_name: default description: A flow to pull and run nginx:latest Docker container storage: {} infrastructure: type: docker-container image: seedoo-prefect-agent:latest tags: [] parameters: {} work_pool: name: seedoo-container-worker work_queue_name: job_variables: {} schedules: [] build: pull: - prefect.deployments.steps.set_working_directory: directory: /opt/prefect what is the following used for: build: pull: - prefect.deployments

Marvin

06/24/2024, 11:50 AM

Your message was too long by 14 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

in this prefect.yaml file:

Marvin

06/24/2024, 11:52 AM

prefect.yaml

, the

build

and

pull

fields under

work_pool

are used to configure additional deployment steps specific to the work pool's job execution. Here's a brief explanation of each: 1. Build: This section specifies any side effects or preparatory steps needed before runs can start. It typically involves preparing Docker images or other preparative tasks required by the flows within this work pool. The actions stated in the build section will be executed before deploying the flow. 2. Pull: This section details any actions needed to pull resources or configurations required for the runs. This may include fetching specific repository contents or configurations necessary for the flows. The configuration structure you've shown is a repetitive one where build and pull steps seem to prepare the working directory or other necessary settings for the execution of jobs in the specified work pool. Here's an excerpt structure that aligns with your current `prefect.yaml`:

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yaml
version: 2.0
build: {}
pull: {}
deployments:
- name: pull_and_run_image
  version: 1.0
  entrypoint: "/opt/prefect/flow.py:pull_and_run_image"
  work_queue_name: default
  description: A flow to pull and run nginx:latest Docker container
  storage: {}
  infrastructure:
    type: docker-container
    image: seedoo-prefect-agent:latest
  tags: []
  parameters: {}
  work_pool:
    name: seedoo-container-worker
    work_queue_name:
    job_variables: {}
  schedules: []
  build:
  pull:
  - prefect.deployments.steps.set_working_directory:
    directory: /opt/prefect

You can learn more about configuring work pools and associated deployments in these guides: - Prefect Work Pools Concepts - Prefect Deployment Configuration If you have more specific scenarios or needs, feel free to ask!

Dijar Vrella

06/25/2024, 10:50 AM

@Marvin what if the content of this pull section are already present in the image used... how to specify the directory?

Marvin

06/25/2024, 10:50 AM

If the necessary contents or preparations specified in the pull section are already present in the image used, you can adjust the working directory directly in the

infrastructure

section. By setting the appropriate working directory within the infrastructure configuration, you can avoid redundant steps. Here’s an example of how to specify the directory directly in your `prefect.yaml`:

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yaml
version: 2.0
build: {}
pull: {}
deployments:
- name: pull_and_run_image
  version: 1.0
  entrypoint: "/opt/prefect/flow.py:pull_and_run_image"
  work_queue_name: default
  description: A flow to pull and run nginx:latest Docker container
  storage: {}
  infrastructure:
    type: docker-container
    image: seedoo-prefect-agent:latest
    command: ["python", "/opt/prefect/flow.py"]
    env_vars:
      - name: "PREFECT__LOGGING__LEVEL"
        value: "INFO"
    working_dir: "/opt/prefect" # Specify the working directory here
  tags: []
  parameters: {}
  work_pool:
    name: seedoo-container-worker
    work_queue_name:
    job_variables: {}
  schedules: []

In this configuration, the

working_dir

field within the

infrastructure

section is used to specify the working directory. By doing this, you don't need to set the working directory in a pull step as it is already defined in your Docker container setup. ### Useful Links: - Prefect Deployment Configuration - Documentation on Infrastructure Blocks Utilizing these configurations, you should be able to streamline your deployments efficiently.

Dijar Vrella

06/25/2024, 11:23 AM

@Marvin how can I fix this: 112217.779 | INFO | prefect.deployment - Cloned repository 'https://github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.782 | INFO | prefect.deployment - Cloned repository 'https://github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.781 | INFO | prefect.deployment - Cloned repository 'https://github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.784 | ERROR | Flow run 'honest-inchworm' - Flow could not be retrieved from deployment. Traceback (most recent call last): File "frozen importlib._bootstrap_external", line 991, in exec_module File "frozen importlib._bootstrap_external", line 1128, in get_code File "frozen importlib._bootstrap_external", line 1186, in get_data FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/flow.py'

Marvin

06/25/2024, 11:23 AM

Your message was too long by 52 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

how can I fix this:

112217.779 | INFO | prefect.deployment - Cloned repository 'https://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@github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.782 | INFO | prefect.deployment - Cloned repository 'https://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@github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.781 | INFO | prefect.deployment - Cloned repository 'https://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@github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.784 | ERROR | Flow run 'honest-inchworm' - Flow could not be retrieved from deployment. Traceback (most recent call last): File "<frozen importlib._bootstrap_external>", line 991, in exec_module File "<frozen importlib._bootstrap_external>", line 1128, in

Marvin

06/25/2024, 11:24 AM

Your message was too long by 196 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

how can I fix this:

112217.779 | INFO | prefect.deployment - Cloned repository 'https://ghp_O2L87ysadasdasdbXSs6lJOb11e8RE0wRQ4rGag3NKnH2@github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.782 | INFO | prefect.deployment - Cloned repository 'https://ghp_O2L87ybasdasdadXSs6lJOb11e8RE0wRQ4rGag3NKnH2@github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 112217.781 | INFO | prefect.deployment - Cloned repository '<https://ghp_O2L87ybXSs6lJOb11e8RE0wRQ4rGaasdasdg

Marvin

06/25/2024, 11:25 AM

Your issue seems to be related to setting the working directory and ensuring the proper path configuration when deploying a flow. Based on the error messages and the related GitHub issues, here are steps you can take to resolve the problem: 1. Verify the Path in
entrypoint
: Ensure the

entrypoint

in the

prefect.yaml

points to the correct script and function within your Docker image:

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yaml
    entrypoint: "/opt/prefect/flow.py:pull_and_run_image"

2. Check the Working Directory: Verify the specified working directory within your Docker container matches the location of your flow script. Since you're setting the working directory to

/opt/prefect

, ensure your Docker image has the required files at this path. 3. Set Working Directory in Infrastructure: Explicitly specify the working directory in the

infrastructure

section:

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yaml
    infrastructure:
      type: docker-container
      image: seedoo-prefect-agent:latest
      command: ["python", "/opt/prefect/flow.py"]
      env_vars:
        - name: "PREFECT__LOGGING__LEVEL"
          value: "INFO"
      working_dir: "/opt/prefect"  # Ensure this matches the actual structure

4. Remove Redundant Steps: If setting a working directory in the pull step isn’t needed (as the flow is present in the image), omit it from the

pull

section:

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yaml
    pull: []

Apply these changes and run your deployment again. This should integrate the specified working directory properly and avoid the

FileNotFoundError

. If you need further customization, you might consider refining your Docker image preparation or modifying the deployment configuration accordingly. For more details, exploring these links and the related issues could be helpful: - GitHub Issue: agent fails to get flow from storage-block with path set as relative path - GitHub Issue: Encountered error while running prefect.deployments.steps.set_working_directory - GitHub Issue: deployments.py:load_flow_from_flow_run forms doubled path when using LocalFileSystem storage block Considering these specifics should help in resolving the errors and ensuring smooth flow deployment.

Dijar Vrella

06/25/2024, 11:33 AM

@Marvin here is my current prefect.yaml file, what should it be on its final form: version: 2.0 build: {} pull: {} deployments: - name: pull_and_run_image version: 1.0 entrypoint: "/opt/prefect/flow.py:pull_and_run_image" work_queue_name: default description: A flow to pull and run nginx:latest Docker container storage: {} infrastructure: type: docker-container image: seedoo-prefect-agent:latest tags: [] parameters: {} work_pool: name: seedoo-container-worker work_queue_name: job_variables: {} schedules: []

Marvin

06/25/2024, 11:33 AM

Below is your

prefect.yaml

file updated with the necessary changes to ensure the correct working directory is set and to ensure the proper flow script path within your Docker container. - The

entrypoint

points to the correct script and function. - The

infrastructure

section sets the working directory to match the path within your Docker container. - The

pull

section is omitted since it's not necessary for this configuration. Here's the updated configuration:

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yaml
version: 2.0

build: {}

pull: []

deployments:
  - name: pull_and_run_image
    version: 1.0
    entrypoint: "/opt/prefect/flow.py:pull_and_run_image"
    work_queue_name: default
    description: A flow to pull and run nginx:latest Docker container
    storage: {}
    infrastructure:
      type: docker-container
      image: seedoo-prefect-agent:latest
      command: ["python", "/opt/prefect/flow.py"]
      env_vars:
        PREFECT__LOGGING__LEVEL: "INFO"
      working_dir: "/opt/prefect"  # Ensure this directory exists in your Docker image
    tags: []
    parameters: {}
    work_pool:
      name: seedoo-container-worker
      work_queue_name:
      job_variables: {}
    schedules: []

This configuration ensures that the deployment correctly sets up and runs within the specified working directory inside the Docker container. The

working_dir

field is set directly in the

infrastructure

section, and the

pull

steps are omitted since they are not necessary. Be sure the following: - The path

/opt/prefect

in the Docker image contains

flow.py

. - The function

pull_and_run_image

is correctly defined within

flow.py

. This setup should mitigate the

FileNotFoundError

and ensure that your flow runs correctly in the specified Docker container. If further issues arise, double-check the paths and contents inside the Docker image.

Dijar Vrella

06/25/2024, 11:46 AM

@Marvin I still get this: 114537.347 | INFO | prefect.flow_runs.runner - Opening process... <frozen runpy>128 RuntimeWarning: 'prefect.engine' found in sys.modules after import of package 'prefect', but prior to execution of 'prefect.engine'; this may result in unpredictable behaviour 114539.772 | INFO | prefect.deployment - Cloned repository 'https://github.com/dijarvrella/prefect-flows' into 'prefect-flows-main' 114539.775 | ERROR | Flow run 'defiant-goshawk' - Flow could not be retrieved from deployment. Traceback (most recent call last): File "<frozen importlib._bootstrap_external>", line 991, in exec_module File "<frozen importlib._bootstrap_external>", line 1128, in get_code File "<frozen importlib._bootstrap_external>", line 1186, in get_data FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/flow.py'

Marvin

06/25/2024, 11:46 AM

The

FileNotFoundError

indicates that the flow file (

flow.py

) is not found at the specified path (

/opt/prefect/flow.py

) within the Docker container. Here are steps to ensure it works correctly: 1. Ensure
flow.py
Exists in Docker Image: Verify that

flow.py

is present at

/opt/prefect/

within the Docker image (

seedoo-prefect-agent:latest

). 2. Set the Correct Working Directory: Ensure that the working directory for the infrastructure block is correct. 3. Update
prefect.yaml
: Adjust

prefect.yaml

to ensure directories and paths are correctly mentioned. Here’s how your

prefect.yaml

should look to ensure all these aspects are correct:

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yaml
version: 2.0

build: {}
pull: []

deployments:
  - name: pull_and_run_image
    version: 1.0
    entrypoint: "/opt/prefect/flow.py:pull_and_run_image"
    work_queue_name: default
    description: A flow to pull and run nginx:latest Docker container
    storage: {}
    infrastructure:
      type: docker-container
      image: seedoo-prefect-agent:latest
      command: ["python", "/opt/prefect/flow.py"]
      env_vars:
        PREFECT__LOGGING__LEVEL: "INFO"
      working_dir: "/opt/prefect"  # Ensure this directory exists in your Docker image
    tags: []
    parameters: {}
    work_pool:
      name: seedoo-container-worker
      work_queue_name:
      job_variables: {}
    schedules: []

### Steps to Verify Docker Image Content 1. Run Docker Container and List Files:

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bash
    docker run -it seedoo-prefect-agent:latest /bin/bash
    ls /opt/prefect

Ensure

flow.py

is listed in the directory. 2. Build Docker Image Correctly: If

flow.py

is not present, ensure it is copied correctly in the Dockerfile:

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dockerfile
    FROM some-base-image
    COPY flow.py /opt/prefect/flow.py

3. Rebuild Docker Image:

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bash
    docker build -t seedoo-prefect-agent:latest .

### Reviewing Key Points - Ensure paths in

prefect.yaml

match actual paths in your Docker image. - Verify and adjust the Dockerfile to ensure

flow.py

is correctly copied. - Use correct command and working directory settings in

prefect.yaml

. If there are any further issues, it might be worth re-evaluating the Docker build context or the path configurations used within the deployment.

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