Merge pull request #40 from SergeBakharev/store_machine_address

Machine Reconnect Functionality

.gitignore

@@ -70,6 +70,7 @@ dmypy.json
 
 # IDEs
 .idea/
+.vscode/
 
 # appimage-builder related
 AppDir/

README.md

@@ -6,12 +6,12 @@ Community developed version of the Makera Carvera Controller software.
 
 The Controller software works on the following systems:
 
-- Windows
+- Windows 7 x64 or newer
 - MacOS using Intel CPUs running Ventura (13) or above
 - MacOS using Apple Silicon CPUs running Sonoma (14) or above
-- Linux using x64 CPU running a Linux distribution with Glibc 2.31 or above (eg. Ubuntu 20.04 or higher)
-- Linux using ARM64 CPUs (eg RasPi 3 or above) running a distribution Glibc 2.36 or above (eg. Raspios Bookworm or higher) 
-
+- Linux using x64 CPUs running a Linux distribution with Glibc 2.31 or above (eg. Ubuntu 20.04 or higher)
+- Linux using ARM64 CPUs (eg RasPi 3 or above) running a distribution Glibc 2.36 or above (eg. RasPiOS Bookworm or higher)
+- Other systems might be work via the Python Package, see below for more details.
 
 ## Installation
 
@@ -23,10 +23,19 @@ See the assets section of [latest release](https://github.com/carvera-community/
 - carveracontroller-community-\<version\>-x86_64.appimage - Linux AppImage for x64 systems
 - carveracontroller-community-\<version\>-aarch64.appimage - Linux AppImage for ARM64 systems
 
+### Usage: Linux App Images
+
+Linux AppImages are a self-contained binary with all the required dependencies to run the application.
+
+To use it, first make it executable (`chmod +x carveracontroller-community-<version>-<arch>.appimage`).
 
-## Alternative Installation: Python Package 
+Then you will be able to run it.
 
-It's best to use a one of pre-built packages as they they have frozen versions of tested dependenies, however if you prefer the software can be installed as a Python package. This might allow you to use a unsupported platform (eg raspi 1) provided that the dependencies can be met.
+If you want a shortcut, consider using [AppImageLauncher](https://github.com/TheAssassin/AppImageLauncher).
+
+## Alternative Installation: Python Package
+
+It's best to use one of the pre-built packages as they they have frozen versions of tested dependencies and python interpreter, however if you prefer the software can be installed as a Python package. This might allow you to use a unsupported platform (eg raspi 1) provided that the dependencies can be met.
 
 ``` bash
 pip install carvera-controller-community
@@ -38,7 +47,6 @@ Once installed it can be run via the module
 python3 -m carveracontroller
 ```
 
-
 ## Development Environment Setup
 
 To contribute to this project or set up a local development environment, follow these steps to install dependencies and prepare your environment.
@@ -47,7 +55,7 @@ To contribute to this project or set up a local development environment, follow
 
 - Ensure you have [Python](https://www.python.org/downloads/) installed on your system (preferably version 3.8 or later).
 - [Poetry](https://python-poetry.org/) is required for dependency management. Poetry simplifies packaging and simplifies the management of Python dependencies.
-- One of the python dependencies [QuickLZ](https://pypi.org/project/pyquicklz/) will be compiled by Poetry when installed. Ensure that you have a compiler that Poetry/Pip can use and the Pythong headers. On a debian based Linux system this can be accomplished with `sudo apt-get install python3-dev build essential`. On Windows installation of (just) the Visual C++ 14.x compiler is required, this can be accomplished with [MSBuild tools package](https://wiki.python.org/moin/WindowsCompilers#Microsoft_Visual_C.2B-.2B-_14.2_standalone:_Build_Tools_for_Visual_Studio_2019_.28x86.2C_x64.2C_ARM.2C_ARM64.29). 
+- One of the python dependencies [QuickLZ](https://pypi.org/project/pyquicklz/) will be compiled by Poetry when installed. Ensure that you have a compiler that Poetry/Pip can use and the Pythong headers. On a debian based Linux system this can be accomplished with `sudo apt-get install python3-dev build essential`. On Windows installation of (just) the Visual C++ 14.x compiler is required, this can be accomplished with [MSBuild tools package](https://wiki.python.org/moin/WindowsCompilers#Microsoft_Visual_C.2B-.2B-_14.2_standalone:_Build_Tools_for_Visual_Studio_2019_.28x86.2C_x64.2C_ARM.2C_ARM64.29).
 - [Squashfs-tools](https://github.com/plougher/squashfs-tools) is required if building Linux AppImages. On Debian based systems it's provided by the package `squashfs-tools`. This is only required if packaging for linux.
 
 ### Installing Poetry
@@ -93,7 +101,7 @@ Once you have Poetry installed, setting up the development environment is straig
 
 ### Running the Project
 
-You can run the Controller software using Poetry's run command without installation. This is handy for iterative development. 
+You can run the Controller software using Poetry's run command without installation. This is handy for iterative development.
 
 ```bash
 poetry run python -m carveracontroller

carveracontroller/WIFIStream.py

@@ -20,6 +20,14 @@ class MachineDetector:
     def __init__(self):
         pass
 
+    def is_machine_busy(self, addr):
+        """Tries to connect to the machine, if machine is available returns true else false"""
+        try:
+            with socket.create_connection((addr, "2222"), timeout=1):
+                return False
+        except (socket.timeout, socket.error) as e:
+            return True
+
     def get_machine_list(self):
         UDP_IP = "0.0.0.0"
         machine_list = []