cd-multi-tasker 0.1.2

A Python package for handling multiple concurrent tasks using multiprocessing and multithreading.

CD Multi Tasker

cd_multi_tasker is a Python package designed to handle multiple concurrent tasks efficiently. It supports both CPU-bound and I/O-bound tasks, using multiprocessing for CPU-intensive operations and multithreading for I/O-bound operations.

Features

• Multiprocessing for CPU-bound tasks such as file processing.
• Multithreading for I/O-bound tasks such as HTTP requests.
• Easy-to-use interface for running concurrent tasks.

Installation

To install the package, use:

pip install cd_multi_tasker

Usage

Importing the Package

from cd_multi_tasker import MultiTasking

Example: CPU-bound Tasks (File Processing)

# Initialize the MultiTasking class
multitasker = MultiTasking(max_workers=4)

# Define a sample task function for file processing
def process_file(file_path):
    """
    Dummy function to simulate file processing.
    Replace with actual file processing logic.
    
    Parameters:
        file_path (str): Path to the file to process.
    
    Returns:
        str: Dummy result message.
    """
    return f"Processed file {file_path}"

# List of file paths to process
file_paths = ["/path/to/file1", "/path/to/file2", "/path/to/file3"]

# Run the tasks
results = multitasker.run_cpu_bound_tasks(file_paths, process_file)
print("File processing results:", results)

Example: I/O-bound Tasks (HTTP Requests)

# Initialize the MultiTasking class
multitasker = MultiTasking(max_workers=4)

# Define a sample task function for HTTP requests
def fetch_data(url):
    """
    Dummy function to simulate fetching data from a URL.
    Replace with actual HTTP request logic.
    
    Parameters:
        url (str): URL to fetch data from.
    
    Returns:
        str: Dummy response message.
    """
    return f"Fetched data from {url}"

# List of URLs to fetch data from
urls = ["http://example.com/data1", "http://example.com/data2"]

# Run the tasks
results = multitasker.run_io_bound_tasks(urls, fetch_data)
print("HTTP fetching results:", results)

Class and Methods

MultiTasking

__init__(self, max_workers)

• Initializes the MultiTasking class with the maximum number of workers.
• Parameters:
  • max_workers (int): Maximum number of concurrent tasks.

run_cpu_bound_tasks(self, tasks, task_func, *args, **kwargs)

• Executes multiple CPU-bound tasks concurrently using multiprocessing.
• Parameters:
  • tasks (list): List of tasks to be processed (e.g., file paths for processing).
  • task_func (callable): Function to run for each task.
  • *args: Variable length argument list for the task function.
  • **kwargs: Arbitrary keyword arguments for the task function.
• Returns:
  • list: Results of the tasks.

run_io_bound_tasks(self, tasks, task_func, *args, **kwargs)

• Executes multiple I/O-bound tasks concurrently using multithreading.
• Parameters:
  • tasks (list): List of tasks to be processed (e.g., URLs for web requests).
  • task_func (callable): Function to run for each task.
  • *args: Variable length argument list for the task function.
  • **kwargs: Arbitrary keyword arguments for the task function.
• Returns:
  • list: Results of the tasks.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

More Info

For more information, visit codedocta.com.