Use BoundedAttributes instead of raw dict to extract attributes from LogRecord #3114

[nstawski]

Description

Using BoundedAttributes instead of a simple dict in LogRecord; Updated the _to_json function so attributes behave the same way as before the conversion, and tests pass.

I made a change in LogRecord itself and not in _get_attributes so that if someone instantiates it directly, BoundedAttributes would still be used.

This ticket also incorporates changes for Support dropped_attributes_count in LogRecord (#3201)

Fixes #3114 and #3201

Type of change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)
• Changeling updated

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

• Core Repo Tests touching this functionality are passing
• Added a test for LogRecord to check if attributes is an instance of BoundedAttributes
• Updated a test for _get_attributes for LoggingHandler to check if attributes is an instance of BoundedAttributes
• Added tests for LogRecord to test the attribute limits

Does This PR Require a Contrib Repo Change?

Answer the following question based on these examples of changes that would require a Contrib Repo Change:

• The OTel specification has changed which prompted this PR to update the method interfaces of opentelemetry-api/ or opentelemetry-sdk/

• The method interfaces of test/util have changed

• Scripts in scripts/ that were copied over to the Contrib repo have changed

• Configuration files that were copied over to the Contrib repo have changed (when consistency between repositories is applicable) such as in

  • pyproject.toml
  • isort.cfg
  • .flake8

• When a new .github/CODEOWNER is added

• Major changes to project information, such as in:

  • README.md
  • CONTRIBUTING.md

• [] Yes. - Link to PR:

• No.

Checklist:

• Followed the style guidelines of this project

[ocelotl]

Looks good, please add a test case ✌️

[nstawski]

@ocelotl done.