Mlops initialization
Skill MLOps-Courses/mlops-coding-skills/mlops-initialization
Agent skills based on the MLOps Coding Course
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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.
- Check
uv:- Ensure
uvis installed:uv --version - If missing, install it:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Ensure
- Check
git:- Ensure
gitis installed:git --version
- Ensure
2. Project Initialization
Initialize the project structure using uv to ensure modern standards (pyproject.toml).
- Create Directory (if not already inside):
mkdir <project_name> && cd <project_name>
- Initialize Project:
- Run
uv init - This creates
pyproject.toml,.python-version, and a basichello.py.
- Run
- 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.
- Add Runtime Dependencies (Production):
- Use
uv add <package>for libraries needed in production (e.g.,fastapi,numpy,torch). - These go into
[project.dependencies]inpyproject.toml.
- Use
- Add Dev Dependencies (Development):
- Use
uv add --dev <package>(or--group dev) for tools likepytest,ruff,ty. - These go into
[dependency-groups](PEP 735) and are kept out of production builds.
- Use
- Sync Environment:
- Run
uv syncto resolve dependencies, create the.venv, and generate theuv.lockfile. - Critical: The
uv.lockfile 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.
- Run
4. Version Control (Git)
Set up a clean repository and ensure unwanted files are ignored.
- Initialize Git:
git initgit branch -M main
- Create
.gitignore:- Write a robust
.gitignoretailored 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.jsonbut ignoreUsersettings.
- Environment:
- Write a robust
- Verify Status:
git statusshould show only source files, config files, and the lockfile.
5. IDE Configuration (VS Code)
Standardize the developer experience (DX) by committing project-specific settings.
- 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.
- Python Tier A:
- Create
.vscodeDirectory:mkdir .vscode
- Create
settings.json:-
Configure settings to enforce code quality and use the
uvenvironment. -
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.
- Verify Environment:
- Run
uv run python -c "import sys; print(sys.executable)"to confirm it uses the.venv.
- Run
- 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 syncshould be the only command needed to set up the environment. - Lockfile: Always commit
uv.lockto ensure all environments are identical. - Editor Config: Checked-in
.vscode/settings.jsonreduces 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.lockexist? - Virtual Env: Is
.venv/created and ignored in.gitignore? - Project Config: Does
pyproject.tomlvalidly describe the project? - Git Cleanliness: Are secrets and large data files excluded?
- Reproducibility: Can another developer
git cloneanduv syncto get the exact same state?