Sandbox Testing Environment

Core → Gold
💰 $2000

Isolated test space for admins or teachers.

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Sandbox Testing Environment

Overview

The Sandbox Testing Environment module is designed to provide developers with an isolated, secure space for testing software components, configurations, or updates. This environment allows users to experiment freely without impacting production systems or exposing sensitive data.

Purpose

The primary purpose of this module is to enable safe and controlled testing in a dedicated sandboxed space. It ensures that any experimentation, debugging, or new feature deployment can be conducted without risking the stability or security of the main system.

Benefits

Usage Scenarios

  1. Testing New Features
    Developers can deploy and test new features in a sandboxed environment before rolling them out to production.

  2. Troubleshooting Issues
    Isolate and diagnose problems without affecting the main system, allowing developers to focus on resolving issues safely.

  3. Experimentation with Configurations
    Test various configurations or settings in a controlled space to identify potential risks or improvements.

  4. Training and Onboarding
    Provide new team members with a sandboxed environment to practice and learn without exposing the production system to risks.

  5. Risky Deployments
    Safely deploy potentially risky changes, such as updates to dependencies or architectural overhauls, in an isolated space before full deployment.

By leveraging the Sandbox Testing Environment module, developers can enhance their workflow, reduce downtime, and confidently experiment with new solutions without compromising system integrity.

Feature Overview of Sandbox Testing Environment Module

The Sandbox Testing Environment module is designed to provide a secure, efficient, and user-friendly space for testing within a software system. Below is an overview of its key features:

1. Isolated Testing Space

2. Quick Environment Setup

3. Multi-User Access Control

4. Automated Cleanup

5. Resource Limits

6. Audit Logging

7. Integration with CI/CD Pipelines

These features collectively ensure that the Sandbox Testing Environment is a robust tool for developers and admins, providing a controlled, efficient, and secure space for testing activities.

Module Name: Sandbox Testing Environment

Category: Core

Summary:

The Sandbox Testing Environment module provides an isolated test space for admins and teachers to safely experiment with new features, configurations, or scenarios without affecting the production environment.


1. FastAPI Endpoint (Python/Async)

from fastapi import APIRouter, Depends, HTTPException
from typing import Optional
from pydantic import BaseModel
import logging

router = APIRouter()
logger = logging.getLogger(__name__)

# Mock authentication dependency
def get_current_user():
    return {"username": "admin"}  # Replace with real auth

class Sandbox(BaseModel):
    name: str
    description: Optional[str] = None
    user_limit: int
    resource_quota: dict

@router.post("/sandboxes", dependencies=[Depends(get_current_user)])
async def create_sandbox(sandbox: Sandbox):
    """
    Creates a new sandbox environment.
    """
    logger.info(f"Creating sandbox {sandbox.name}")
    
    # Mock database call
    db = await get_db()  # Assume get_db() connects to the database
    
    try:
        # Simulate creating a sandbox entry
        db.sandboxes.insert_one({
            "name": sandbox.name,
            "description": sandbox.description,
            "user_limit": sandbox.user_limit,
            "resource_quota": sandbox.resource_quota,
            "created_by": "admin",  # Replace with current user
            "status": "pending"
        })
        
        return {"message": f"Sandbox {sandbox.name} created successfully"}
    
    except Exception as e:
        logger.error(f"Failed to create sandbox: {str(e)}")
        raise HTTPException(status_code=500, detail="Internal server error")

2. React UI Snippet (JavaScript/TypeScript)

import React, { useState } from 'react';

interface SandboxConfig {
    name?: string;
    description?: string;
    userLimit?: number;
    resourceQuota?: Record<string, any>;
}

export const SandboxCreator: React.FC = () => {
    const [formData, setFormData] = useState<SandboxConfig>({
        name: "",
        userLimit: 10,
        resourceQuota: { cpu: "2", memory: "4GB" }
    });
    const [isLoading, setIsLoading] = useState(false);
    const [error, setError] = useState<string>("");

    const handleSubmit = async (e: React.FormEvent) => {
        e.preventDefault();
        setIsLoading(true);
        setError("");
        
        try {
            const response = await fetch('/api/sandboxes', {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json',
                    // Add authentication token here
                    'Authorization': `Bearer ${localStorage.getItem('token')}`
                },
                body: JSON.stringify(formData)
            });

            if (!response.ok) {
                throw new Error('Failed to create sandbox');
            }

            setIsLoading(false);
            setFormData({
                name: '',
                userLimit: 10,
                resourceQuota: { cpu: "2", memory: "4GB" }
            });
        } catch (err) {
            setError(err instanceof Error ? err.message : 'An unknown error occurred');
            setIsLoading(false);
        }
    };

    return (
        <form onSubmit={handleSubmit} className="sandbox-creator">
            <div className="form-group">
                <label htmlFor="name">Name</label>
                <input
                    type="text"
                    id="name"
                    value={formData.name || ''}
                    onChange={(e) => setFormData({ ...formData, name: e.target.value })}
                    required
                />
            </div>

            <div className="form-group">
                <label htmlFor="userLimit">User Limit</label>
                <input
                    type="number"
                    id="userLimit"
                    value={formData.userLimit || 10}
                    onChange={(e) => setFormData({ ...formData, userLimit: Number(e.target.value) })}
                />
            </div>

            {isLoading && (
                <p className="loading">Creating sandbox...</p>
            )}

            {error && (
                <p className="error">{error}</p>
            )}

            <button type="submit" disabled={isLoading}>
                Create Sandbox
            </button>
        </form>
    );
};

3. Data Schema (Pydantic)

from pydantic import BaseModel, Field
from typing import Optional

class SandboxCreate(BaseModel):
    """
    Pydantic model for creating a sandbox environment.
    """
    name: str = Field(..., description="Name of the sandbox", example="test-sandbox-123")
    description: Optional[str] = Field(
        default="", 
        description="Description of the sandbox",
        example="Testing new feature deployment"
    )
    user_limit: int = Field(
        ..., 
        gt=0,
        le=1000,
        description="Maximum number of users allowed in the sandbox",
        example=50
    )
    resource_quota: dict = Field(
        ...,
        description="Resource limits for the sandbox (CPU, Memory, etc)",
        example={"cpu": "2", "memory": "4GB"}
    )

    class Config:
        json_schema_extra = {
            "example": {
                "name": "test-sandbox",
                "description": "Test environment for feature X",
                "user_limit": 50,
                "resource_quota": {"cpu": "2", "memory": "4GB"}
            }
        }

This documentation provides a complete implementation of the Sandbox Testing Environment, including API endpoints, UI components, and data validation schemas. The code is designed to be easily extendable and customizable based on specific use cases.

Sandbox Testing Environment Module Documentation

Summary

The Sandbox Testing Environment module provides an isolated test space where administrators or teachers can safely experiment, test, and validate changes to the system. This module is designed to ensure that any modifications made in this environment do not impact the production system.



Use Cases

1. Testing Configuration Changes

2. Isolated Issue Diagnostics

3. Safe Experimentation for Educators/Teachers


Integration Tips

  1. Environment Management:

    • Ensure that the sandbox environment is separate from production and development environments.
    • Use configuration management tools (e.g., Ansible, Terraform) to provision the sandbox.
  2. Permissions & Access Control:

    • Configure role-based access control (RBAC) to restrict access to the sandbox.
    • Only authorized users (admins or teachers) should have access.
  3. Audit Logging:

    • Enable logging for all activities within the sandbox, including user actions and configuration changes.
    • Integrate logs with centralized monitoring tools like Splunk or ELK Stack.
  4. User Interface Components:

    • Provide a dashboard or panel where users can view sandbox status, recent activity, and logs.
    • Include controls for starting/stopping the sandbox, resetting configurations, etc.
  5. Resource Provisioning:

    • Automate resource allocation based on predefined policies (e.g., CPU cores, memory limits).
    • Use containerization tools like Docker or Kubernetes to manage resources efficiently.

Configuration Options

ParameterDescription
sandbox_modeEnables or disables sandbox mode.
isolation_levelSets the isolation level (e.g., lightweight, full).
allowed_resourcesSpecifies resources that can be used in the sandbox.
sandbox_accessControls access to the sandbox environment.
logging_levelSets the logging verbosity (e.g., debug, info, warning, error).

Conclusion

The Sandbox Testing Environment module is a critical component for safely testing and experimenting in a controlled space. By integrating with related modules like Environment Management and Permissions & Access Control, developers can ensure that changes are tested thoroughly before deployment to production.