Adding a New Execution Environment

This guide provides a step-by-step tutorial on adding a new execution environment to the PANTHER framework.

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1. Overview

An execution environment defines the context in which experiments run, such as performance profiling or execution tracing. Adding a new execution environment involves:

• Implementing environment-specific logic.
• Defining configuration schemas.
• Integrating with the framework's environment plugin system.

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2. Directory Structure

Below is an example structure for adding an execution environment:

plugins/
└── environments/
    └── execution_environment/
        └── my_environment/
            ├── __init__.py
            ├── config_schema.py
            ├── my_environment.py
            ├── Dockerfile
            ├── templates/
                └── environment_config.jinja

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3. Step-by-Step Tutorial

Step 1: Define Configuration Schema

Create a config_schema.py file to define the schema for the environment. Example:

class MyEnvironmentConfig(EnvironmentConfig):
    def validate(self, config):
        # Custom validation logic for the environment
        ...

• Purpose: Validates configuration parameters for the environment.

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Step 2: Implement Environment Logic

Create a Python file (e.g., my_environment.py) to define the logic for the environment.

class MyEnvironment(EnvironmentInterface):
    def __init__(self, config):
        self.config = config

    def setup(self):
        # Prepare the environment
        ...

    def execute(self, commands):
        # Execute commands in the environment
        ...

    def teardown(self):
        # Cleanup after execution
        ...

• Key Methods:
• setup: Initializes the environment.
• execute: Executes commands within the environment.
• teardown: Cleans up resources.

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Step 3: Add Templates

Use Jinja2 templates to dynamically define environment-specific configurations.

Example: environment_config.jinja

# Environment Configuration Template
cpu_limit={{ cpu_limit }}
memory_limit={{ memory_limit }}

• Purpose: Allows dynamic configuration generation.

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Step 4: Define Dockerfile

Create a Dockerfile to define the execution environment.

FROM ubuntu:20.04
RUN apt-get update && apt-get install -y profiling-tool
COPY . /app
WORKDIR /app
CMD ["./run_environment"]

• Purpose: Containerizes the execution environment.

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Step 5: Integrate with the Plugin System

Add the environment to the framework by registering it in plugin_loader.

plugin_loader.register("my_environment", MyEnvironment)

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Contribution

To contribute a new execution environment: 1. Follow this tutorial to implement the environment. 2. Add unit tests for the environment logic. 3. Submit a pull request with your implementation.

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