https://github.com/invcble/artemis-automation-macro

GUI Python RPC Automation Scripts
https://github.com/invcble/artemis-automation-macro

perl pyautogui-scripts pygetwindow pyinstaller pyqt5 python scripting-language threading tkinter-gui xmlrpc-server

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GUI Python RPC Automation Scripts

• Host: GitHub
• URL: https://github.com/invcble/artemis-automation-macro
• Owner: invcble
• Created: 2024-02-10T01:11:29.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-04-10T18:13:20.000Z (9 months ago)
• Last Synced: 2024-10-13T11:23:42.003Z (2 months ago)
• Topics: perl, pyautogui-scripts, pygetwindow, pyinstaller, pyqt5, python, scripting-language, threading, tkinter-gui, xmlrpc-server
• Language: Python
• Homepage:
• Size: 84.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Macro Development Project for Behavioral Research Study

## Introduction

Welcome to my Macro Development Project at the LeBow College of Business, a earnest effort to automate and streamline the operational aspects of behavioral research studies. This project involves developing a suite of Python-based automation tools that work together seamlessly to ensure efficient data collection and processing. The project leverages a custom-built Tkinter GUI to provide an intuitive control panel for experimenters.

## Project Overview

The Macro Development Project integrates automation tools into a single executable, reducing manual processes and enhancing data integrity throughout the research lifecycle. The project's components include:

1. **Research Control Panel** (`Ctrl_Experimenter_NEW.py`):

   - A user-friendly GUI control panel built with Tkinter that allows experimenters to input team IDs and manage research sessions.

2. **Session Management Tools**:

   - Scripts for starting and stopping research sessions and simulations (`Start_Artemis_M*.py`, `Stop_Artemis.py`).

3. **Data Capture Utilities**:

   - Tools for taking timed screenshots and handling survey data (`Take_Screenshot*.py`, `Start_Survey*.py`).

4. **Logistics and Archiving Features**:

   - Macros for organizing and archiving mission logs (`move_log_E.py`) and video recordings (`move_video_P.py`).

5. **Performance Metrics and Training**:

   - Automation of performance metrics collection (`Start_Recording_P.py`, `Stop_Recording_P.py`) and setting up training sessions (`Start_Training_P.py`).

## Advanced Features

The control panel integrates XML-RPC clients to communicate with remote stations during experiments. It handles complex operations such as:

- Verifying connections to participant stations.

- Running parallel tasks using threading to coordinate between different experiment phases.

- Starting and stopping recording sessions and simulations across multiple systems.

## Future Directions

As I continue to develop this project, the immediate goals include:

- **Integration**: Combining all tools into a cohesive and unified system.

- **Enhancement**: Refining scripts for greater resilience and scalability.

- **Usability**: Ensuring the GUI is intuitive and accessible for all experimenters.

## Contact Information

For any inquiries or further information regarding this project, please reach out to:

- Email: [[email protected]]

- Project Link: [https://github.com/invcble/LeBow-RA]