Skip to content

Conversation

@dogukankaratas
Copy link
Contributor

  • Base Settings Class added
  • Base Settings test added under examples folder

@jarabroz jarabroz added the user story user story for development label Oct 20, 2021
@jarabroz jarabroz added this to the 1.0.1.0 milestone Oct 20, 2021
@jarabroz jarabroz self-assigned this Oct 20, 2021
Copy link
Member

@jarabroz jarabroz left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Move BaseSettings_test to UT folder.

@dogukankaratas dogukankaratas removed the request for review from OndraMichal October 21, 2021 08:56
@pull-request-quantifier-deprecated

This PR has 113 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Medium
Size       : +112 -1
Percentile : 42.6%

Total files changed: 5

Change summary by file extension:
.json : +9 -1
.py : +103 -0

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detetcted.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


Was this comment helpful? 👍  :ok_hand:  :thumbsdown: (Email)
Customize PullRequestQuantifier for this repository.

@jarabroz jarabroz merged commit 69f5fb5 into main Nov 4, 2021
@jarabroz jarabroz deleted the dogukaratas-BaseDataSettings branch November 4, 2021 12:53
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Medium user story user story for development

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants