Sync spotless configuration with opentelemetry-java-instrumentation #95
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR syncs the spotless configuration in
ai.spotless-conventions.gradle.ktswith the upstream configuration from opentelemetry-java-instrumentation.Changes Made
Core Configuration Updates
toggleOffOn()to Java configuration for better IDE integration with spotless formattingktlint_standard_property-namingdisabled (for variable names likev1_10Deps)ktlint_standard_function-literaldisabled (prevents moving comments to next line)Conditional Plugin Support
Added plugin-based conditional support that only activates when the respective plugins are present:
endWithNewline()scalafmt()+ license header for.scalafilesktlint()+ license header for.ktfilesImproved Performance & Patterns
.gitignoreand**/*.dockerfilesupport**/*.mdand**/gradle.propertiesFormatting Fixes Applied
The updated configuration automatically fixed trailing whitespace issues in:
.github/copilot-instructions.mdlicenses/more-licenses.mdVerification
This brings the spotless configuration in line with the upstream OpenTelemetry project, making it easier to maintain consistency and apply future upstream changes.
Fixes #94.
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.