Project Name (parse_end)

This project is built for [Brief description of what the project does].

• init_scripts/: Contains initial scripts required to set up the project. This might include scripts for setting up environment variables, creating necessary directories, etc.
• server/: Houses the server-side code of the project. This directory likely contains API endpoints and business logic.
• workers/: Contains code for background tasks, such as queue processing or scheduled jobs.
• .gitignore: Specifies intentionally untracked files that Git should ignore. This typically includes files like .env, log files, etc.
• docker-compose.yml: A YAML file used to define and manage Docker containers for the project's services, such as the server and workers.
• requirements.txt: If the project is built with Python, this file lists the external Python packages and their versions required by the project. These can be installed using pip install -r requirements.txt.
• start.bat: A batch script for Windows systems to start the project. This script likely contains the commands needed to run the server and workers.

Getting Started

Follow these steps to get the project up and running.

Prerequisites

• Git should be installed on your system.
• If using Docker, Docker and Docker Compose need to be installed.
• If the project uses Python, Python and pip should be installed.

Installation

1. Clone the repository to your local machine:

   git clone [https://github.com/petersawm/parse_end]
   cd [parse_end]

   (Replace [Repository URL] with your project's Git repository URL and [Project Directory] with the name of the cloned directory.)

2. Install Python dependencies (if applicable):

   pip install -r requirements.txt

Configuration

Project configurations can be set through environment variables (e.g., a .env file) or other configuration files. Adjust the necessary configurations according to your setup.

Running the Project

On Windows, you can run the project by double-clicking the start.bat file.

If using Docker, you can start the project using the following command:

docker-compose up -d