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Aicademy Practice CLI — solve Kubernetes exam scenarios locally with KIND

Project description

Aicademy CLI

Practice CKA, CKAD, and CKS exam scenarios locally — powered by KIND + Aicademy API.

PyPI Python License: MIT

Installation

Using pip

pip install aicademy

Using uv (recommended)

uv tool install aicademy

Using pipx

pipx install aicademy

Quick Start

# 1. Login to Aicademy
aicademy login

# 2. Check / install prerequisites
aicademy install-tool all --check
aicademy install-tool all

# 3. Start a practice question (creates KIND cluster automatically)
aicademy question start cka-01

# 4. Read the full task instructions in your terminal
aicademy question instructions

# 5. Solve the scenario using kubectl, helm, etc.

# 6. Verify your solution
aicademy verify

# 7. Clean up the cluster
aicademy question clear

Command Reference

Command Description
aicademy login Authenticate (browser flow or direct token)
aicademy logout Clear stored credentials
aicademy auth whoami Verify token validity
aicademy question start <id> Start question environment (creates KIND cluster)
aicademy question instructions [id] Show full task instructions in terminal
aicademy question instructions [id] --web Open question page in browser
aicademy question clear [id] Delete KIND cluster and clear session
aicademy verify [id] Run verify.sh and report result
aicademy install-tool <name> Install kubectl / kind / docker / all
aicademy install-tool <name> --check Check if tool is installed (no install)
aicademy install-tool <name> --dry-run Preview install commands

Prerequisites

Tool Purpose Install
Docker Runs KIND nodes aicademy install-tool docker
kubectl Kubernetes CLI aicademy install-tool kubectl
kind Local K8s cluster aicademy install-tool kind

OS Support

OS Package Manager
Windows winget
macOS Homebrew
Linux Official shell scripts

Categories

Exam Slug Questions Free
Certified Kubernetes Administrator cka 20 10
Certified Kubernetes Application Developer ckad 20 10
Certified Kubernetes Security Specialist cks 20 10

Development

Project Structure

The codebase is organized modularly:

  • aicademy_cli/main.py: The entry point and top-level Typer application.
  • aicademy_cli/commands/: All user-facing Typer CLI groups (auth, question, tools, verify).
  • aicademy_cli/api.py: Centralized HTTP requests and error handling.
  • aicademy_cli/core/: Internal logic like cluster management (kind.py) and helper methods (utils.py).

Using uv

# Clone and install in dev mode
git clone https://github.com/devcrypted/aicademy-cli
cd aicademy-cli
uv sync

# Run against local dev server
AICADEMY_API_URL=http://localhost:5173 uv run aicademy login

# Run tests
uv run pytest

# Lint
uv run ruff check .
uv run mypy aicademy_cli/

Publishing to PyPI

Publishing is 100% automated via GitHub Actions (ci.yml) using Trusted Publishing.

To release a new version:

  1. Update the version in pyproject.toml (e.g., version = "0.1.2").
  2. Commit and push the change to the main branch.
  3. The CI pipeline will automatically run tests, build the package, publish it to PyPI, and create a GitHub Release with the corresponding vX.X.X tag.

Security

  • CLI tokens stored in ~/.aicademy/config.json
  • Tokens expire after 7 days — run aicademy login to renew
  • Question tasks and scenarios only delivered when you have an active session (anti-scraping)
  • Revoke all tokens with aicademy logout

License

MIT © Aicademy

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