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https://issues.apache.org/jira/browse/BEAM-7746?focusedWorklogId=369602&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-369602
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ASF GitHub Bot logged work on BEAM-7746:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Jan/20 04:05
            Start Date: 10/Jan/20 04:05
    Worklog Time Spent: 10m 
      Work Description: chadrik commented on pull request #10367: [BEAM-7746] 
Add python type hints (part 2)
URL: https://github.com/apache/beam/pull/10367#discussion_r364988919
 
 

 ##########
 File path: sdks/python/apache_beam/pipeline.py
 ##########
 @@ -808,7 +810,7 @@ class AppliedPTransform(object):
 
   def __init__(self,
                parent,
-               transform,  # type: ptransform.PTransform
+               transform,  # type: Optional[ptransform.PTransform]
 
 Review comment:
   in `Pipeline.__init__`:
   
   ```python
       # Stack of transforms generated by nested apply() calls. The stack will
       # contain a root node as an enclosing (parent) node for top transforms.
       self.transforms_stack = [AppliedPTransform(None, None, '', None)]
   ```
   
   Best way to deal with this may be a special `RootAppliedTransform` subclass.
   
   ---
   
   It can also possibly be `None` in `AppliedPTransform.from_runner_api()`:
   
   ```python
       transform = ptransform.PTransform.from_runner_api(proto.spec, context)
       result = AppliedPTransform(
           parent=None,
           transform=transform,
           full_label=proto.unique_name,
           inputs=main_inputs)
   ```
   
   This is because `PTransform.from_runner_api()` returns `Optional[PTransform]`
   
   ```python
     @classmethod
     def from_runner_api(cls,
                         proto,  # type: 
Optional[beam_runner_api_pb2.FunctionSpec]
                         context  # type: PipelineContext
                        ):
       # type: (...) -> Optional[PTransform]
       if proto is None or not proto.urn:
         return None
       parameter_type, constructor = cls._known_urns[proto.urn]
   ```
   
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 369602)
    Time Spent: 46h 20m  (was: 46h 10m)

> Add type hints to python code
> -----------------------------
>
>                 Key: BEAM-7746
>                 URL: https://issues.apache.org/jira/browse/BEAM-7746
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-py-core
>            Reporter: Chad Dombrova
>            Assignee: Chad Dombrova
>            Priority: Major
>          Time Spent: 46h 20m
>  Remaining Estimate: 0h
>
> As a developer of the beam source code, I would like the code to use pep484 
> type hints so that I can clearly see what types are required, get completion 
> in my IDE, and enforce code correctness via a static analyzer like mypy.
> This may be considered a precursor to BEAM-7060
> Work has been started here:  [https://github.com/apache/beam/pull/9056]
>  
>  



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