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# runllm-flyte-trial
a
New RunLLM response generated: >>>*# Question* Hello, we’re developing a pipeline register that uses 
FlyteRemote.register_workflow()
to register and run workflow. We discovered that if an 
___init__.py_
file is present in the directory where the register code resided, like
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from flytekit.remote import FlyteRemote
from flytekit.configuration import Config, ImageConfig
from autojoin_flyte_workflow.workflow import wf
from flytekit.configuration import SerializationSettings, FastSerializationSettings


remote = FlyteRemote(config=Config.auto(), default_project="flytesnacks", default_domain="development")

_, native_url = remote.fast_package(root=".")

flyte_workflow = remote.register_workflow(
    entity=wf,
    serialization_settings=SerializationSettings(
        image_config=ImageConfig.auto_default_image(),
        project="flytesnacks",
        domain="development",
        version="remote_registration_v0",
        fast_serialization_settings=FastSerializationSettings(enabled=True, destination_dir=".", distribution_location=native_url),
    ),
)

remote.execute(
    entity=flyte_workflow,
    # inputs={"dirpath": "<s3://my-s3-bucket/input-data-test>", "output_location": "<s3://my-s3-bucket/output-data-test/>"},
    inputs={"dirpath": "<gs://igenius-flyte-userdata/alessandro-test/input-data>", "output_location": "<gs://igenius-flyte-userdata/alessandro-test/output-data/>"}
)
, the Task won’t be able to execute because of a 
ModuleNotFoundError: No module named 'module_where_'
.
while looking for # Answer The issue you're encountering is likely due to the way Python handles module imports and how Flyte packages and executes workflows. When using 
FlyteRemote.register_workflow()
, it's crucial to ensure that the Python package structure is correctly set up and that all necessary modules are included in the package. Here are some steps to resolve the 
ModuleNotFoundError
issue: 1. Ensure Proper Package Structure: Make sure that your directory structure includes an 
__init__.py
file in every directory to ensure Python recognizes them as packages. For example:
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autojoin_flyte_workflow/
    ├── __init__.py
    ├── workflow.py
2. Use 
copy_all=True
and 
source_path="."
in 
register_script
: When registering your workflow, ensure that all necessary files are copied and the source path is correctly set. This can help in including all dependencies in the package.
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remote_wf = remote.register_script(
        entity=wf,
        image_config=ImageConfig.auto_default_image(),
        version="remote_registration_v0",
        copy_all=True,
        source_path=".",
    )
3. Check Python Path: Ensure that the directory containing your modules is included in the Python path. You can do this by printing the Python path and verifying it:
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import sys
    print(sys.path)
>>4. Use Fast Registration: Fast registration helps in packaging your code and dependencies into a tarball and uploading it to a blob store. Ensure that 
fast_serialization_settings
is correctly configured:
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_, native_url = remote.fast_package(root=".")
    flyte_workflow = remote.register_workflow(
        entity=wf,
        serialization_settings=SerializationSettings(
            image_config=ImageConfig.auto_default_image(),
            project="flytesnacks",
            domain="development",
            version="remote_registration_v0",
            fast_serialization_settings=FastSerializationSettings(enabled=True, destination_dir=".", distribution_location=native_url),
        ),
    )
If the issue persists, please provide more details about your file structure and the exact error message you're seeing. Would you like more detailed steps or a specific code example? Sources: - GitHub Issue 4853 - Flyte Documentation on Registering Workflows - Flyte Discussion on ModuleNotFoundError Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1720092256.851009 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
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