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elegant-sandwich-48375

03/22/2025, 2:30 PM

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jolly-florist-66728

03/22/2025, 2:30 PM

To reuse code from other local packages in a Flyte project, especially when running workflows remotely, you need to ensure that all dependencies, including local modules, are available in the execution environment. This can be achieved by packaging your code and dependencies correctly. Here are some steps to help you resolve the issue: 1. Package Your Code: Ensure that your local packages are properly packaged and installed. You can use a

setup.py

pyproject.toml

to define your package structure and dependencies. This will allow you to install your local packages in the environment where your Flyte tasks and workflows are executed. 2. Use Fast Registration: Flyte supports fast registration, which allows you to package your code and dependencies into a tarball and upload it to a blob store (like S3 or GCS). At workflow execution time, Flyte automatically injects the zipped-up task/workflow code into the running container. This ensures that all your local modules are available during execution. Here's how you can use fast registration:

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pyflyte --pkgs flyte_examples package --image ghcr.io/flyteorg/flytekit:py3.9-latest

This command packages your project and creates a portable package

flyte-package.tgz

containing all the Flyte entities compiled as protobuf files. You can then register this package with the

flytectl register files

command:

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flytectl register files \
       --project flytesnacks \
       --domain development \
       --archive flyte-package.tgz \
       --version "$(git rev-parse HEAD)"

3. Ensure Correct Import Paths: Make sure that the import paths in your scripts are correct and that the modules are accessible from the root of your package. This might involve adjusting the directory structure or the import statements. 4. Docker Image: If you are using a custom Docker image, ensure that it includes all necessary dependencies and that your local packages are installed in the image. You can modify the Dockerfile to include the installation of your local packages. By following these steps, you should be able to reuse code from other local packages in your Flyte project and run workflows remotely without encountering module import errors. Sources: - Flyte GitHub Issue - Improve Flyte Remote Registration DX 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:36 PM

The error

ModuleNotFoundError: No module named 'flyte_example'

indicates that the module

flyte_example

is not found in the environment where the Flyte task is being executed. This is a common issue when the module is not included in the Docker image or the fast registration package. Here are some steps to resolve this issue: 1. Ensure Correct Packaging: Make sure that the

flyte_example

module is included in the package you registered. You can verify this by checking the contents of the tarball created during fast registration. Ensure that the directory structure in the tarball matches your local project structure. 2. Update Docker Image: If you are using a custom Docker image, ensure that it includes the

flyte_example

module. You can modify the Dockerfile to install the module. For example, if you have a

setup.py

pyproject.toml

, you can use it to install the package in the Docker image. 3. Use Fast Registration: If you haven't already, use fast registration to package your code and dependencies. This ensures that all necessary modules are available during execution. You can use the

pyflyte package

command to create a package and then register it with

flytectl

. 4. Check PYTHONPATH: Ensure that the

PYTHONPATH

is set correctly in the execution environment. This can be done by setting the

PYTHONPATH

environment variable in the Dockerfile or using Flyte's configuration options. 5. Verify Import Paths: Double-check the import paths in your code. Ensure that the module names and paths are correct and consistent with the directory structure. If you need more detailed guidance on any of these steps, please let me know. Sources: - https://github.com/flyteorg/flyte/issues/5343 - https://github.com/flyteorg/flyte/issues/4853 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:38 PM

It looks like you have successfully packaged and registered your Flyte workflows and tasks using

pyflyte

and

flytectl

. However, if you are encountering issues when running the workflows, here are a few things to check: 1. Verify Module Paths: Ensure that the module paths in your code match the directory structure. The error

ModuleNotFoundError

often occurs when the module path specified in the import statement does not align with the actual directory structure. Double-check that the

flyte_example

module and its submodules are correctly structured and referenced in your code. 2. Check PYTHONPATH: Ensure that the

PYTHONPATH

is set correctly in the execution environment. This can be done by setting the

PYTHONPATH

environment variable in the Dockerfile or using Flyte's configuration options. This ensures that Python can locate your modules during execution. 3. Docker Image: If you are using a custom Docker image, ensure that it includes all necessary dependencies and that your local packages are installed in the image. You can modify the Dockerfile to include the installation of your local packages. 4. Fast Registration: Make sure that the fast registration package includes all necessary files and directories. You can verify this by extracting the

flyte-package.tgz

and checking its contents. 5. Correct Import Statements: Ensure that the import statements in your code are correct and consistent with the directory structure. For example, if

hello_world.py

is in

flyte_example.examle_workflows

, the import should be

from flyte_example.examle_workflows.hello_world import ...

. If you need more detailed guidance on any of these steps, please let me know. Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/flyte_fundamentals/registering_workflows.md - https://github.com/flyteorg/flyte/issues/5592 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:42 PM

It seems like you're trying to run a Flyte workflow that imports a function

from a local module

flyte_helper.utils

. If you're encountering issues, such as

ModuleNotFoundError

, when running this workflow, here are some steps to ensure everything is set up correctly: 1. Ensure Module Accessibility: Make sure that the

flyte_helper

module is accessible in the environment where the workflow is being executed. This means that the module should be included in the package you register with Flyte. 2. Package and Register Correctly: Use Flyte's fast registration to package your code and dependencies. This ensures that all necessary modules are available during execution. You can use the

pyflyte package

command to create a package and then register it with

flytectl

. 3. Verify Import Paths: Double-check the import paths in your code. Ensure that the module names and paths are correct and consistent with the directory structure. For example, if

flyte_helper

is a sibling directory to

flyte_example

, ensure that the import path reflects this structure. 4. Docker Image: If you are using a custom Docker image, ensure that it includes all necessary dependencies and that your local packages are installed in the image. You can modify the Dockerfile to include the installation of your local packages. 5. Check PYTHONPATH: Ensure that the

PYTHONPATH

is set correctly in the execution environment. This can be done by setting the

PYTHONPATH

environment variable in the Dockerfile or using Flyte's configuration options. If you need more detailed guidance on any of these steps, please let me know. Sources: - https://github.com/flyteorg/flyte/issues/5706 - https://github.com/flyteorg/flyte/issues/5492 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:46 PM

The

ModuleNotFoundError: No module named 'flyte_example'

error suggests that the

flyte_example

module is not being found in the environment where the Flyte task is executed. Here are some steps to resolve this issue: 1. Ensure Correct Packaging: Make sure that the

flyte_example

module is included in the package you registered. Verify that the directory structure in the tarball created during fast registration matches your local project structure. 2. Use Fast Registration: Use Flyte's fast registration to package your code and dependencies. This ensures that all necessary modules are available during execution. You can use the

pyflyte package

command to create a package and then register it with

flytectl

. 3. Verify Import Paths: Double-check the import paths in your code. Ensure that the module names and paths are correct and consistent with the directory structure. For example, if

flyte_example

is in

projects/flyte-examples/src

PYTHONPATH

is set correctly in the execution environment. This can be done by setting the

PYTHONPATH

environment variable in the Dockerfile or using Flyte's configuration options. 6. Install Local Packages: Ensure that the

flyte-helper

package is installed in the environment where the workflow is executed. You can do this by adding it to the

pyproject.toml

and ensuring it is included in the Docker image or the fast registration package. If you need more detailed guidance on any of these steps, please let me know. Sources: - Flyte GitHub Issue - Improve Flyte Remote Registration DX 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:49 PM

It seems likely that the

ModuleNotFoundError: No module named 'flyte_example'

error is due to the

flyte_example

module not being accessible in the environment where the Flyte task is executed. Here are some steps to address this issue: 1. Verify Directory Structure: Ensure that the directory structure in your project matches the import paths in your code. The

flyte_example

module should be located in a directory that is included in the

PYTHONPATH

during execution. 2. Package and Register Correctly: Use Flyte's fast registration to package your code and dependencies. This ensures that all necessary modules are available during execution. You can use the

pyflyte package

command to create a package and then register it with

flytectl

. 3. Check PYTHONPATH: Ensure that the

PYTHONPATH

is set correctly in the execution environment. This can be done by setting the

PYTHONPATH

environment variable in the Dockerfile or using Flyte's configuration options. 4. Docker Image: If you are using a custom Docker image, ensure that it includes all necessary dependencies and that your local packages are installed in the image. You can modify the Dockerfile to include the installation of your local packages. 5. Install Local Packages: Ensure that the

flyte-helper

package is installed in the environment where the workflow is executed. You can do this by adding it to the

pyproject.toml

and ensuring it is included in the Docker image or the fast registration package. Would you like more detailed guidance on any of these steps? Sources: - Flyte GitHub Issue - Improve Flyte Remote Registration DX 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

jolly-florist-66728

03/22/2025, 3:51 PM

It seems likely that to run your Flyte workflow successfully, you need to ensure that both

flyte-examples

and

flyte-helper

are accessible in the

PYTHONPATH

during execution. Here's how you can set it up: 1. Set PYTHONPATH: You need to ensure that the

src

directories of both

flyte-examples

and

flyte-helper

are included in the

PYTHONPATH

. This can be done by setting the

PYTHONPATH

environment variable before running your workflow. You can do this in your shell or script:

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export PYTHONPATH=$PYTHONPATH:/path/to/projects/flyte-examples/src:/path/to/projects/flyte-helper/src

Replace

/path/to

with the actual path to your project directory. 2. Package Command: To package your Flyte project, navigate to the directory containing your

pyproject.toml

for

flyte-examples

and run the

pyflyte package

command. This will package your code and dependencies into a tarball for registration.

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cd /path/to/projects/flyte-examples
   pyflyte --pkgs flyte_examples package --image ghcr.io/flyteorg/flytekit:py3.9-latest

This command assumes you are using Flyte's fast registration. It will create a package that includes all the necessary Flyte entities. 3. Register the Package: After packaging, use

flytectl

to register the package with your Flyte cluster:

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flytectl register files \
       --project flytesnacks \
       --domain development \
       --archive flyte-package.tgz \
       --version "$(git rev-parse HEAD)"

By following these steps, you should be able to run your

hello_world

workflow, which uses a function from the

flyte-helper

package, without encountering module import errors. Would you like more detailed guidance on any of these steps? Sources: - Flyte GitHub Issue - Improve Flyte Remote Registration DX 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

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