Setup and Infrastructure for AgentM Python Migration

[debuggerone]

Overview

This issue covers the initial setup and infrastructure needed to migrate the AgentM library from JavaScript to Python. It includes setting up the development environment, configuring dependencies, and establishing the basic project structure.

Tasks

• [x] Setup Python Environment

  • [x] Install pipenv for managing Python dependencies and virtual environments.
  • [x] Create a Pipfile and Pipfile.lock to manage project dependencies.
  • [x] Generate a requirements.txt file for compatibility with other Python environments.

• [x] Configure Project Layout

  • [x] Set up a basic project directory structure:
  • src/ for the main application code.
  • tests/ for unit and integration tests.
  • docs/ for documentation files.
  • config/ for configuration files.

• [x] Initialize Version Control

  • [x] Initialize a new Git repository or configure the existing repository.
  • [x] Set up .gitignore to exclude unnecessary files and directories (e.g., virtual environments, compiled Python files).

• [x] Setup Continuous Integration (CI)

  • [x] Choose a CI service (e.g., GitHub Actions, Travis CI).
  • [x] Create a basic CI pipeline to run tests and checks on pull requests.
  • [x] Integrate Python linters (e.g., flake8, black) into the CI pipeline.

Subtasks Overview

1. Install and configure pipenv: Ensure the Python environment is isolated and dependencies are managed effectively.
2. Create project structure: Set up directories for source code, tests, and documentation.
3. Initialize Git and GitHub integration: Prepare the project for version control and collaboration.
4. Configure CI/CD pipeline: Automate testing and code quality checks to ensure robust development practices.

[Stevenic]

Thanks for driving all of this @debuggerone