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Mlops initialization

Skill MLOps-Courses/mlops-coding-skills/mlops-initialization

Agent skills based on the MLOps Coding Course

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npx -y skills add MLOps-Courses/mlops-coding-skills --skill mlops-initialization

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Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.

SKILL.md

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MLOps Initialization

Goal

To initialize a robust, production-ready MLOps project structure using the modern Python toolchain (uv), industry-standard version control (git), and a configured development environment (VS Code). This skill ensures reproducibility, collaboration, and high code quality from day one.

Prerequisites

  • Language: Python 3.14 (latest stable)
  • Manager: uv (replaces pip, venv, poetry, pyenv)
  • VCS: Git
  • IDE: VS Code (recommended)

Instructions

1. System & Toolchain Verification

Before modifying files, verify that the essential tools are available.

  1. Check uv:
    • Ensure uv is installed: uv --version
    • If missing, install it: curl -LsSf https://astral.sh/uv/install.sh | sh
  2. Check git:
    • Ensure git is installed: git --version

2. Project Initialization

Initialize the project structure using uv to ensure modern standards (pyproject.toml).

  1. Create Directory (if not already inside):
    • mkdir <project_name> && cd <project_name>
  2. Initialize Project:
    • Run uv init
    • This creates pyproject.toml, .python-version, and a basic hello.py.
  3. Configure pyproject.toml:
    • Update metadata: name, version, description, authors, license.

    • Set requires-python: Ensure it matches the project's target environment (e.g., >=3.14).

    • Example Structure:

      [project]
      name = "my-mlops-project"
      version = "0.1.0"
      description = "A robust MLOps project."
      readme = "README.md"
      requires-python = ">=3.14"
      license = { file = "LICENSE" }
      authors = [{ name = "Your Name", email = "[email protected]" }]
      dependencies = [
          "pandas>=2.3.0",
          "loguru>=0.7.0",
          # Add other runtime dependencies here
      ]
      
      [project.urls]
      Repository = "https://github.com/username/my-mlops-project"
      Documentation = "https://username.github.io/my-mlops-project"
      
      # PEP 735 dependency groups (not shipped with the package).
      [dependency-groups]
      dev = [
          "pytest>=9.0.0",
          "ruff>=0.15.0",
          "ty>=0.0.56,<0.1", # pre-1.0: pin a compatible range
      ]
      
      [build-system]
      requires = ["uv_build>=0.9.0"]
      build-backend = "uv_build"
      

3. Dependency Management

Establish a clean separation between production and development dependencies.

  1. Add Runtime Dependencies (Production):
    • Use uv add <package> for libraries needed in production (e.g., fastapi, numpy, torch).
    • These go into [project.dependencies] in pyproject.toml.
  2. Add Dev Dependencies (Development):
    • Use uv add --dev <package> (or --group dev) for tools like pytest, ruff, ty.
    • These go into [dependency-groups] (PEP 735) and are kept out of production builds.
  3. Sync Environment:
    • Run uv sync to resolve dependencies, create the .venv, and generate the uv.lock file.
    • Critical: The uv.lock file pins exact versions of all dependencies (including transitive ones). It ensures that every developer and CI/CD pipeline uses the exact same environment, preventing "it works on my machine" issues. Commit this file to git.

4. Version Control (Git)

Set up a clean repository and ensure unwanted files are ignored.

  1. Initialize Git:
    • git init
    • git branch -M main
  2. Create .gitignore:
    • Write a robust .gitignore tailored for Python/MLOps.
    • Must Include:
      • Environment: .venv/, .env
      • Caches: __pycache__/, .pytest_cache/, .ruff_cache/, .ty_cache/
      • Builds: dist/, build/, *.egg-info/
      • Data/Models: data/, models/, outputs/ (unless using DVC/LFS)
      • IDE: .vscode/ (selectively), .idea/, .DS_Store
      • Note: It is often good practice to commit project-specific .vscode/settings.json but ignore User settings.
  3. Verify Status:
    • git status should show only source files, config files, and the lockfile.

5. IDE Configuration (VS Code)

Standardize the developer experience (DX) by committing project-specific settings.

  1. Install Recommended Extensions:
    • Python Tier A: ms-python.python, charliermarsh.ruff, ms-python.vscode-pylance, ms-toolsai.jupyter.
    • Productivity: eamodio.gitlens, alefragnani.project-manager, usernamehw.errorlens.
  2. Create .vscode Directory:
    • mkdir .vscode
  3. Create settings.json:
    • Configure settings to enforce code quality and use the uv environment.

    • Key Settings:

      {
        "[python]": {
          "editor.defaultFormatter": "charliermarsh.ruff",
          "editor.formatOnSave": true,
          "editor.codeActionsOnSave": {
            "source.organizeImports": "explicit"
          }
        },
        "python.defaultInterpreterPath": ".venv/bin/python",
        "python.terminal.activateEnvironment": true,
        "python.analysis.typeCheckingMode": "basic",
        "python.testing.pytestEnabled": true,
        "files.trimTrailingWhitespace": true,
        "files.insertFinalNewline": true,
        "editor.rulers": [88],
        "files.exclude": {
          "**/__pycache__": true,
          "**/.pytest_cache": true,
          "**/.ruff_cache": true,
          "**/.venv": true
        }
      }
      

6. Verification & First Commit

Finalize the initialization.

  1. Verify Environment:
    • Run uv run python -c "import sys; print(sys.executable)" to confirm it uses the .venv.
  2. Initial Commit:
    • git add .
    • git commit -m "chore: initialize project with uv, git, and vscode settings"

7. Best Practices Summary

  • One Command Setup: ideally, uv sync should be the only command needed to set up the environment.
  • Lockfile: Always commit uv.lock to ensure all environments are identical.
  • Editor Config: Checked-in .vscode/settings.json reduces onboarding friction and enforces standards (formatting, linting).
  • Dependency Separation: Keep production dependencies light; put testing/linting tools in dev.

Self-Correction Checklist

  • Lockfile: Does uv.lock exist?
  • Virtual Env: Is .venv/ created and ignored in .gitignore?
  • Project Config: Does pyproject.toml validly describe the project?
  • Git Cleanliness: Are secrets and large data files excluded?
  • Reproducibility: Can another developer git clone and uv sync to get the exact same state?

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