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Commit History
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feat: Enhance Kubernetes simulation environment with action/observation models and task management and to comply with OpenEnv guidelines
Sandeep Suresh8e7d77e -
feat: Refactor random number generation to use NumPy and enhance simulation logic
Sandeep Sureshb578a5d -
feat: Implement COEnv Executor and Graders for task management
- Added `executor.py` to handle action execution and manage task states. - Created grading modules for different tasks: `grader_autoscaling.py`, `grader_incident.py`, and `grader_pod_recovery.py`. - Introduced Pydantic models in `models.py` for structured data representation. - Removed outdated `requirements.txt`. - Developed task implementations for autoscaling, incident handling, and pod recovery in `tasks` directory. - Added utility functions in `utils.py` for realistic simulation of network and resource conditions. - Implemented action validation in `validator.py` to ensure action integrity before execution. - Created `worker.py` to manage episode execution and integrate with the executor and validator. - Added tests for environment initialization in `test_environment.py`.6cc6670
