combined reports with json

[SilenNaihin]

Background

Helicone logs data

PR Quality Checklist

• [ ] I have run the following commands against my code to ensure it passes our linters:

  black . --exclude test.py
  isort .
  mypy .
  autoflake --remove-all-unused-imports --recursive --ignore-init-module-imports --ignore-pass-after-docstring --in-place agbenchmark

[github-actions[bot]]

PR Analysis

• 🎯 Main theme: This PR primarily focuses on improving the reporting functionality by combining reports with JSON. It also includes some refactoring of the code and minor bug fixes.

• 📝 PR summary: The PR introduces a new way of handling reports by combining them with JSON. This includes changes in the way reports are processed and stored. It also includes some refactoring of the code and minor bug fixes. The PR also introduces new fields in the reports such as 'costUSD' and 'response'.

• 📌 Type of PR: Enhancement

• 🧪 Relevant tests added: No

• 🔒 Security concerns: No security concerns found

  PR Feedback

• 💡 General suggestions: The PR includes several enhancements and refactorings which improve the readability and maintainability of the code. However, it would be beneficial to include unit tests for the new functionalities to ensure they work as expected. Also, it would be helpful to add comments to complex code blocks to improve code readability and maintainability.

• 🤖 Code feedback:

  • relevant file: reports/match_records.py suggestion: The 'get_reports' function has grown quite large and complex. Consider breaking it down into smaller, more manageable functions. This will improve code readability and maintainability. [important] relevant line: def get_reports():

  • relevant file: reports/match_records.py suggestion: The use of 'is' for string comparison on line '+ if agent_name is None:' is not recommended. It's better to use '==' for string comparison. [important] relevant line: if agent_name is None:

  • relevant file: agbenchmark/start_benchmark.py suggestion: The 'run_benchmark' function has a lot of arguments. Consider using a data class or a dictionary to encapsulate these arguments. This will make the function signature simpler and more manageable. [medium] relevant line: def run_benchmark(

  • relevant file: agbenchmark/reports/processing/report_types.py suggestion: The 'attempted' field in the 'Metrics' class is optional. If it's not provided, it might cause issues when trying to access it. Consider providing a default value for it. [medium] relevant line: attempted: Optional[bool] = None

How to use

To invoke the PR-Agent, add a comment using one of the following commands: /review [-i]: Request a review of your Pull Request. For an incremental review, which only considers changes since the last review, include the '-i' option. /describe: Modify the PR title and description based on the contents of the PR. /improve [--extended]: Suggest improvements to the code in the PR. Extended mode employs several calls, and provides a more thorough feedback. /ask \<QUESTION>: Pose a question about the PR. /update_changelog: Update the changelog based on the PR's contents.

To edit any configuration parameter from configuration.toml, add --config_path=new_value For example: /review --pr_reviewer.extra_instructions="focus on the file: ..." To list the possible configuration parameters, use the /config command.