[jira] [Commented] (BEAM-10872) Value Provider functionality broken in python sdk

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-10872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17229369#comment-17229369 ] 

Beam JIRA Bot commented on BEAM-10872:
--------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> Value Provider functionality broken in python sdk
> -------------------------------------------------
>
>                 Key: BEAM-10872
>                 URL: https://issues.apache.org/jira/browse/BEAM-10872
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-dataflow
>    Affects Versions: 2.22.0
>         Environment: requirements.txt can be found here: https://gist.github.com/jay-karimi/20524163266e7c90b2fc9b7a6b401e43
>            Reporter: Jay K
>            Priority: P2
>              Labels: stale-P2
>
> Whether using a custom function or an IO connector (test with `WriteToBigQuery`), the dataflow job complains that the runtime value provider `get()` is being called from a non-runtime context:
> {code:java}
> import argparse
> import logging
> import apache_beam as beam
> from apache_beam.options.pipeline_options import PipelineOptions
> class ExampleDoF(beam.DoFn):
>     def __init__(self, value_provider):
>         self.value_provider = value_provider
>     def process(self, el):
>         logging.info(f'el: {el}')
>         logging.info(f'value provider: {self.value_provider.get()}')
>         yield el
> class UserOptions(PipelineOptions):
>     @classmethod
>     def _add_argparse_args(cls, parser):
>         parser.add_value_provider_argument('--value_provider', type=int)
> parser = argparse.ArgumentParser()
> known_args, pipeline_args = parser.parse_known_args()
> pipeline_options = PipelineOptions(pipeline_args)
> user_options = pipeline_options.view_as(UserOptions)
> with beam.Pipeline(options=pipeline_options) as pipeline:
>     results = (
>             pipeline
>             | beam.Create(['element'])
>             | beam.ParDo(ExampleDoF(user_options.value_provider))
>     )
> {code}



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