feat: Add create env when build if not exists

[kienvht]

📄 Description

This pull request adds automatic environment creation during the build process.
If the required environment directory or file does not already exist, it will now be generated automatically.

🔧 Changes
• Implemented a check for existing environment files during build.
• Added logic to create the environment when missing.

[gemini-code-assist]

Summary of Changes

Hello @kienvht, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly improves the macOS build process by introducing automated setup for the Python virtual environment and its dependencies. It ensures that if the .venv directory does not exist, it will be created, activated, and all necessary packages from requirements.txt will be installed. This streamlines the build workflow, making it more reliable and easier for developers to get started without manual environment configuration.

Highlights

• Automated Virtual Environment Setup: The build script now automatically checks for the existence of a Python virtual environment (.venv). If it's not found, the script will create it using python3 -m venv .venv.
• Dependency Installation: After ensuring the virtual environment is active, the script now automatically installs all required Python packages by running pip install -r requirements.txt.
• Enhanced Build Robustness: These changes make the macOS build process more robust and self-contained, reducing manual setup steps and potential errors related to missing environments or dependencies.

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[gemini-code-assist]

Code Review

This pull request introduces a helpful feature to the macOS build script by automatically creating a Python virtual environment and installing dependencies if they are not already present. This improves the automation and ease of use of the build process. My review includes a suggestion to make the dependency installation step more robust by using python -m pip and upgrading pip itself, which are common best practices.

[gemini-code-assist]

For improved robustness and adherence to Python best practices, it's recommended to invoke pip via python -m pip. This ensures that you're using the pip instance associated with the correct Python interpreter from your virtual environment. It's also a good practice to upgrade pip itself to the latest version before installing dependencies, especially in a newly created environment.

Suggested change

	pip install -r requirements.txt
	python -m pip install --upgrade pip
	python -m pip install -r requirements.txt