stiqueue 1.3.2

StiQueue is a lightweight messaging queue system designed to be simple, flexible, and easy to use.

StiQueue, short for "stick queue," is inspired by the simplicity of a stick figure. Just as a stick figure represents minimalism and clarity, StiQueue is a lightweight messaging queue system designed to be simple, flexible, and easy to use.

Documentation

Explore the full StiQueue Documentation for in-depth code references and usage guides.

Getting Started

SQServer

SQServer is the core of StiQueue and manages the messaging queue. It can be run directly with minimal setup.

Running the Server

Once the code is downloaded, you can start the server with:

PYTHONPATH=src python -m stiqueue.sqserver --host 0.0.0.0 --port 1234 --debug

💡 The --debug flag is useful during the first run to monitor incoming and outgoing messages.

Server Options

Below are the available command-line options for the server:

usage: StiQueue Server [-h] [--debug] [--host HOST] [--port PORT] [--buff-size BUFF_SIZE]

A message queue server

options:
  -h, --help                show this help message and exit
  --debug                   Showing debug messages
  --host HOST               The host address of the server
  --port PORT               The port to listen on
  --buff-size BUFF_SIZE     The size of the buffer
  --log LOG                 The log file

SQClient

The SQClient allows you to interact with the server to enqueue (send) and dequeue (receive) messages. Ensure the host and port of the client match the server configuration.

Blocking Dequeue: The deq method is blocking, which is more resource-efficient than polling.

Quick Start

1. Initialize the Client:

from stiqueue import SQClient
client = SQClient()

2. Enqueue a Message:

client.enq("Hello, World!")

3. Dequeue a Message:

msg = client.deq().decode()
print("Received:", msg)

Often, the client that sends the messages is different from the one receiving them. For instance, one client (or app) might send requests, while another client fetches these messages or requests when a resource becomes available. It is also helpful to use a Thread Pool, such as TPool, to manage the number of running threads.

Methods

The following methods are supported by stiqueue:

• enq(msg: bytes): Adds a message to the queue.
• deq() -> bytes: Retrieves the next message from the queue (blocking call).
• cnt() -> int: Returns the number of messages currently in the queue.
• peek(n: int = 0, sep: str = ",") -> bytes: Retrieves up to n messages from the queue without removing them.
  • If n=0, returns all available messages.
  • Otherwise, returns up to n messages, separated by sep.
  • If the queue is empty, returns an empty byte string (b"").

Note: When ack_required=True and the client process crashes after calling deq, messages are automatically re-queued to ensure they are not lost.

Examples

Basic Client Usage

The following is a simple example of how to use the SQClient to enqueue and dequeue messages from the server:

from stiqueue import SQClient

# Initialize the client
client = SQClient()

# Enqueue messages
client.enq(b"First message")
client.enq(b"Second message")

# Dequeue and process messages
print(client.deq().decode())  # Output: First message
print(client.deq().decode())  # Output: Second message

Note: The decode() method is used because the deq() method returns the messages as bytes, which need to be decoded to a string for readability.

Using a Thread Pool

You can integrate a thread pool, such as TPool, for managing concurrent client operations.

Extending StiQueue

StiQueue is designed to be flexible and extensible. You can add custom functionality to the server or client as needed. Examples of extending StiQueue are available in the examples directory.

Testing

Run the unit tests to ensure everything is working as expected.

python -m unittest discover

Run a Specific Test

Replace <test_file_name> with the desired test file:

python -m unittest tests.<test_file_name>

Key Highlights

• Lightweight and Flexible: Minimal dependencies and easy to integrate.
• Blocking Dequeue: Efficient for resource-limited systems.
• Reliable Messaging: Optional message acknowledgments to ensure no data loss.