expops 0.1.19.dev0

MLOps Platform with step-based pipeline execution

ExpOps

expops is a project-based experiment runner: keep each experiment isolated under a workspace, run pipelines, and save run artifacts (with optional tracking/backends).

User Guide

Install:

pip install expops

The installed CLI command is expops.

Initial Setup

Prerequisites

• Git installed and configured
• Access to the project repository
• Required dependencies installed

First-Time Setup

# Clone the repository
git clone <repository-url>
cd mlops-platform

# Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate   # On Windows: .venv\Scripts\activate

# Install the package in editable mode (for development)
pip install -e .

Branch Naming Convention

Use descriptive branch names that follow this pattern:

<type>/<short-description>

Types:

• feature/ - New features or enhancements
• bugfix/ - Bug fixes
• refactor/ - Code refactoring
• test/ - Adding or updating tests
• docs/ - Adding or updating documents

Examples:

• feature/model-versioning
• bugfix/api-timeout-error

Development Workflow

Step 1: Create a New Branch

Always create a new branch from the latest main branch:

# Update main branch
git checkout main
git pull origin main

# Create and switch to new branch
git checkout -b feature/your-feature-name

Step 2: Make Changes

• Write clean, well-documented code
• Follow the project's coding standards
• Keep changes focused and atomic
• Test your changes locally

Step 3: Regular Commits

Commit your changes regularly with meaningful messages:

git add <changed-files>
git commit -m "descriptive commit message"

Step 4: Keep Branch Updated

Regularly sync your branch with main to avoid conflicts:

git checkout main
git pull origin main
git checkout feature/your-feature-name
git merge main

This would also trigger the CI/CD pipeline on Github Actions, which includes running automated testing.

Testing Requirements

Writing Tests

• Write unit tests for new functions and classes
• Place tests in the tests/ directory
• Name test files as test_<module_name>.py

Merge and Deployment

Merging

1. Ensure all CI/CD checks pass
2. Rebase if needed to keep history clean
3. Merge using "Squash and merge" or "Rebase and merge"
4. Delete the feature branch after merging

# After merge, update local main
git checkout main
git pull origin main
git branch -d feature/your-feature-name

Post-Merge

• Monitor for any issues in staging/production
• Update project documentation if needed
• Close related issues

Publishing to PyPI

The project uses GitHub Actions to automatically build and publish to PyPI when a git tag is pushed.

Steps to Publish

1. Update version and create a git tag:

   # Create a new version tag (e.g., v1.0.0, v1.1.0, v2.0.0)
   git tag v<version-number>
   
   # Example:
   git tag v1.0.0
   

2. Push the tag to GitHub:

   git push origin v<version-number>
   
   # Example:
   git push origin v1.0.0