Python Automation Projects Collection

This repository is a collection of different Python automation projects. Each project is designed to automate specific tasks using Python scripts and utilities.

Projects

1. Template

This project serves as a template for automating tasks using Python. It includes example scripts and utility functions that can be customized for various automation tasks.

2. Copy Files

This project automates the process of copying files from a source directory to a destination directory as defined in directories.txt.

3. Schedule Job

This project schedules the generation of logs every minute and rotates logs every five minutes. The generated logs are stored in the system's temporary directory, and the rotated logs are compressed and archived within the project's directory to release disk space. The script uses multithreading to concurrently schedule the generation and rotation of logs at different intervals.

4. Chatbot

This project implements a simple chatbot using Python. The chatbot can respond to predefined questions and can be extended with more functionalities. It utilizes the google-generativeai SDK and the Gemini model for generating responses.

5. Social Bot

This project automates the process of gathering Instagram analytics of a specified user using instabot. The analytics include the top posts and the average sentiments of their comments.

6. Unit Testing

This project showcases the automation of Python unit testing using the unittest framework, Flask routes with basic authentication, and SQLite database integration.

7. Remote Window

This project demonstrates mouse tracking and interaction replication across two windows using a client-server setup. It beautifully interweaves tkinter, sockets, threading, and pyautoit to achieve these functionalities.

Setup Instructions

For each project, follow these steps to set up and run the automation scripts:

1. Clone the repository:

   git clone https://github.com/streakcraze/python-automation.git
   cd <project-directory>

2. Create and activate a virtual environment:

   python -m venv venv
   # On Windows
   venv\Scripts\activate
   # On macOS/Linux
   source venv/bin/activate

3. Install the required packages:

   pip install -r requirements.txt

For more specific usage of individual scripts, refer to their respective documentation within the script files.