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https://issues.apache.org/jira/browse/BEAM-7060?focusedWorklogId=305928&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-305928
]
ASF GitHub Bot logged work on BEAM-7060:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Sep/19 21:58
Start Date: 03/Sep/19 21:58
Worklog Time Spent: 10m
Work Description: udim commented on pull request #9283: [BEAM-7060] Type
hints from Python 3 annotations
URL: https://github.com/apache/beam/pull/9283#discussion_r320496053
##########
File path: sdks/python/apache_beam/typehints/decorators.py
##########
@@ -265,23 +368,34 @@ def _unpack_positional_arg_hints(arg, hint):
return hint
-def getcallargs_forhints(func, *typeargs, **typekwargs):
- """Like inspect.getcallargs, but understands that Tuple[] and an Any unpack.
+def getcallargs_forhints(using_var_hints, func, *typeargs, **typekwargs):
+ """Like inspect.getcallargs, with support for declaring default args as Any.
+
+ In Python 2, understands that Tuple[] and an Any unpack.
+
+ Args:
+ using_var_hints: For variable length arguments, whether to expect the bound
Review comment:
I think we might be able to auto-detect the variation in use.
For VAR_POSITIONAL:
- True if we got tuple(Tuple[FOO, ...]), otherwise False
For VAR_KEYWORD:
- True if we got tuple(Dict[FOO, BAR]), otherwise False
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Issue Time Tracking
-------------------
Worklog Id: (was: 305928)
Time Spent: 13h 20m (was: 13h 10m)
> Design Py3-compatible typehints annotation support in Beam 3.
> -------------------------------------------------------------
>
> Key: BEAM-7060
> URL: https://issues.apache.org/jira/browse/BEAM-7060
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core
> Reporter: Valentyn Tymofieiev
> Assignee: Udi Meiri
> Priority: Major
> Fix For: 2.16.0
>
> Time Spent: 13h 20m
> Remaining Estimate: 0h
>
> Existing [Typehints implementaiton in
> Beam|[https://github.com/apache/beam/blob/master/sdks/python/apache_beam/typehints/
> ] heavily relies on internal details of CPython implementation, and some of
> the assumptions of this implementation broke as of Python 3.6, see for
> example: https://issues.apache.org/jira/browse/BEAM-6877, which makes
> typehints support unusable on Python 3.6 as of now. [Python 3 Kanban
> Board|https://issues.apache.org/jira/secure/RapidBoard.jspa?rapidView=245&view=detail]
> lists several specific typehints-related breakages, prefixed with "TypeHints
> Py3 Error".
> We need to decide whether to:
> - Deprecate in-house typehints implementation.
> - Continue to support in-house implementation, which at this point is a stale
> code and has other known issues.
> - Attempt to use some off-the-shelf libraries for supporting
> type-annotations, like Pytype, Mypy, PyAnnotate.
> WRT to this decision we also need to plan on immediate next steps to unblock
> adoption of Beam for Python 3.6+ users. One potential option may be to have
> Beam SDK ignore any typehint annotations on Py 3.6+.
> cc: [~udim], [~altay], [~robertwb].
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