Skip to main content

pywinpipe - Fast data exchange between 2 processes (Windows only)

Project description

pywinpipe - Fast data exchange between 2 processes (Windows only)

pip install pywinpipe

The pywinpipe module with the 2 classes: Write2Pipe and ReadFromPipe can be beneficial for people who need to establish inter-process communication (IPC) between different programs or components on a Windows system.

By utilizing named pipes, this module enables communication through a simple and efficient mechanism. Some potential beneficiaries of this module include:

Client-Server Applications: The module allows for communication between a client and a server process, facilitating data exchange and coordination between the two.

Inter-Process Communication: Developers can use this module to establish communication channels between different processes within a system, enabling them to exchange information or coordinate actions.

Automation and Scripting: System administrators can utilize this module to automate tasks or build scripts that involve communication between different components or programs.

Advantages of using named pipes for inter-process communication include:

Simplicity: Named pipes provide a straightforward and easy-to-use mechanism for communication between processes. They abstract away the complexities of lower-level protocols and offer a simple API for reading from and writing to the pipe.

Efficiency: Named pipes are efficient for communication within a single machine, as they leverage shared memory and kernel-level synchronization. This results in faster data transfer compared to other IPC mechanisms.

Security: Named pipes offer built-in security features, allowing for secure communication between processes. Access to the pipe can be controlled through permissions, ensuring that only authorized processes can read from or write to the pipe.

Overall, the Write2Pipe and ReadFromPipe module simplifies inter-process communication using named pipes, offering an efficient and reliable solution for data exchange and coordination between different components or programs on a Windows system.

  • Write2Pipe: Allows writing messages to a named pipe.
  • ReadFromPipe: Allows reading messages from a named pipe.
# create a file: pipewrite.py
from pywinpipe import Write2Pipe

with Write2Pipe(pipename=r"\\.\pipe\example",
                nMaxInstances=1,
                nOutBufferSize=65536,
                nInBufferSize=65536,
                timeout=0, ) as ba:
    for _ in range(10):
        ba.write_message(b"bababababa" * 2000)


# create another file: piperead.py
from pywinpipe import ReadFromPipe
import numpy as np

with ReadFromPipe(pipename=r"\\.\pipe\example", ) as baba:

    num = np.array([1])
    erx = baba.read_message()
    while len(num)>0:
        try:
            er = next(erx)
            num = np.frombuffer(er[0][:er[1]], dtype='S1')
            print(f'read {er[1]} bytes: {num}')
        except Exception:
            print(er)

# execute pipewrite.py and then piperead.py


# output  pipewrite.py:

# Waiting for clients
# Client connected

# output  piperead.py:

read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 20000 bytes: [b'b' b'a' b'b' ... b'a' b'b' b'a']
read 0 bytes: []

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pywinpipe-0.11.tar.gz (5.8 kB view hashes)

Uploaded Source

Built Distribution

pywinpipe-0.11-py3-none-any.whl (7.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page