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https://issues.apache.org/jira/browse/BEAM-3046?focusedWorklogId=684685&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-684685
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ASF GitHub Bot logged work on BEAM-3046:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Nov/21 13:20
Start Date: 22/Nov/21 13:20
Worklog Time Spent: 10m
Work Description: codecov[bot] edited a comment on pull request #15919:
URL: https://github.com/apache/beam/pull/15919#issuecomment-963529146
#
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(213bb78) will **increase** coverage by `8.90%`.
> The diff coverage is `0.00%`.
> :exclamation: Current head 545db7f differs from pull request most recent
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```diff
@@ Coverage Diff @@
## master #15919 +/- ##
==========================================
+ Coverage 74.60% 83.50% +8.90%
==========================================
Files 640 445 -195
Lines 80839 61387 -19452
==========================================
- Hits 60307 51264 -9043
+ Misses 19563 10123 -9440
+ Partials 969 0 -969
```
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| `96.72% <0.00%> (-1.64%)` | :arrow_down: |
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| `88.47% <0.00%> (-0.93%)` | :arrow_down: |
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[sdks/python/apache\_beam/runners/common.py](https://codecov.io/gh/apache/beam/pull/15919/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=The+Apache+Software+Foundation#diff-c2Rrcy9weXRob24vYXBhY2hlX2JlYW0vcnVubmVycy9jb21tb24ucHk=)
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| `95.86% <0.00%> (-0.17%)` | :arrow_down: |
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------
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Issue Time Tracking
-------------------
Worklog Id: (was: 684685)
Time Spent: 1h 10m (was: 1h)
> De-javafy the Python Metrics API
> --------------------------------
>
> Key: BEAM-3046
> URL: https://issues.apache.org/jira/browse/BEAM-3046
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Robert Bradshaw
> Assignee: Ananda Prasad Inguva
> Priority: P3
> Labels: community-onboarding, starter, triaged
> Fix For: 3.0.0
>
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> For example, though Java forces one to put all stand-alone functions as
> static methods on a class (like Metrics) in Python one would just have
> standard module-level functions.
> Also, the MetricsFilter builder pattern is very Java-esque (and verbose). In
> Python, one would simply let result.metrics() take keyword arguments.
> We should seriously consider aggregating rather than returning lists of
> results, at least by default. E.g. in
> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/wordcount.py
> it assumes that there's no other metric with the given name in any
> subtransform (otherwise it may deterministically grab the "wrong" one.)
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