🌟 randexcpy - Random Execution Library for Python

randexcpy is a powerful Python library designed for executing actions at random times within a specified duration. It's perfect for scenarios like load testing, simulating real-world events, or implementing backoff strategies where randomness is key.

🚀 Features

• Random Execution: Execute actions at random intervals within a defined time frame.
• Synchronous & Asynchronous: Supports both synchronous and asynchronous task execution.
• Customizable Randomness: Use your own random seed for reproducible results.
• Error Handling: Built-in support for context-based cancellation and error management.
• Lightweight: No external dependencies required, making it easy to integrate into any project.

🎯 Use Cases

• Load Testing: Simulate real-world scenarios by introducing randomness in task execution.
• Exponential Backoff: Implement retry strategies with randomized delays to avoid system overloads.
• Chaos Engineering: Introduce controlled randomness to test the resilience of your systems.
• Event Simulation: Model user behavior or system events that occur at unpredictable times.

📦 Installation

Install randexcpy using pip:

pip install randexcpy

Alternatively, you can install the latest development version directly from GitHub:

pip install git+https://github.com/copleftdev/randexcpy.git

🛠️ Usage

Synchronous Execution

from randexcpy import Executor

executor = Executor(max_duration="5s")

# Execute a simple action
result = executor.execute(lambda: "Hello, world!")
print(result)  # Output: Hello, world!

Asynchronous Execution

from randexcpy import Executor

executor = Executor(max_duration="10s")

# Execute an action asynchronously
async_result = executor.execute_async(lambda: "Hello, async world!")

# Get the result with a timeout
print(async_result.get(timeout=5))  # Output: Hello, async world!

Customizing Execution with a Random Seed

from randexcpy import Executor

# Use a custom random seed for reproducibility
executor = Executor(max_duration="3s", seed=42)
result = executor.execute(lambda: "Reproducible result!")
print(result)  # Output will be consistent due to the seed

📖 API Documentation

Executor

The Executor class is the core of randexcpy, providing methods for executing actions at random intervals.

Executor.__init__(max_duration: Union[str, timedelta], seed: Optional[int] = None)

• Parameters:

  • max_duration (str | timedelta): The maximum duration within which the action must be executed. Example formats: "10s", "5m", "1h".
  • seed (Optional[int]): A seed for the random number generator (useful for testing and reproducibility).

• Raises:

  • ValueError: If max_duration is not a valid duration string or timedelta.

Executor.execute(action: Callable[[], T], timeout: Optional[float] = None) -> T

• Description: Executes the given action synchronously within a random time frame.
• Parameters:
  • action (Callable[[], T]): The action to execute.
  • timeout (Optional[float]): Maximum time to wait for the action to complete.
• Returns: The result of the action.
• Raises:
  • ExecutionError: If the action fails or execution exceeds the timeout.

Executor.execute_async(action: Callable[[], T]) -> Result

• Description: Executes the given action asynchronously within a random time frame.
• Parameters:
  • action (Callable[[], T]): The action to execute.
• Returns: A Result object containing the outcome of the execution.

Result

The Result class represents the outcome of an asynchronous execution.

Result.get(timeout: Optional[float] = None) -> Any

• Description: Retrieves the result of the asynchronous execution.
• Parameters:
  • timeout (Optional[float]): Maximum time to wait for the result.
• Returns: The result of the execution.
• Raises:
  • ExecutionError: If the action failed or the result is not available within the timeout.

🧪 Examples

Example: Load Testing with Random Delays

import requests
from randexcpy import Executor

def make_request():
    response = requests.get("https://example.com")
    return response.status_code

executor = Executor(max_duration="10s")

for _ in range(10):
    status_code = executor.execute(make_request)
    print(f"Received status code: {status_code}")

Example: Asynchronous Event Simulation

import time
from randexcpy import Executor

def log_event():
    print(f"Event logged at {time.time()}")

executor = Executor(max_duration="5s")

# Log events asynchronously
for _ in range(5):
    result = executor.execute_async(log_event)
    result.get(timeout=10)  # Wait for the result with a timeout

🎨 Code Style and Linting

This project adheres to strict code quality standards using black, isort, flake8, and pylint.

To check the code style and linting:

black .
isort .
flake8 .
pylint randexcpy tests

🔧 Development Setup

1. Clone the repository:

   git clone https://github.com/copleftdev/randexcpy.git
   cd randexcpy

2. Create a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`

3. Install dependencies:

   pip install --upgrade pip
   pip install -r requirements.txt

4. Run tests:

   pytest

🌟 Contributing

We welcome contributions! To get started:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature/your-feature).
5. Open a pull request.

📄 License

randexcpy is licensed under the MIT License. See the LICENSE file for more information.

📧 Contact

For any inquiries, feel free to reach out to dj@codetestcode.io.

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📈 Project Status

This project is under active development. New features, bug fixes, and enhancements are regularly added. Stay tuned for updates!