How does it improve code quality?

By integrating linting (ruff), formatting (black), and static type checking (mypy) into the automated testing workflow.

What testing frameworks does this skill support?

It primarily uses pytest, pytest-asyncio, and httpx for backend testing, alongside ruff, black, and mypy for code quality.

What is unique about the shared budget testing?

It provides specialized templates to test scenarios where data is shared across users without strict user_id isolation, matching the Family Budget CRM logic.

Does it handle database isolation?

Yes, it includes fixtures for managing database sessions, ensuring tests are isolated and tables are cleaned up after runs.

Can I use this for frontend testing?

While focused on backend (API) and Telegram bot testing, the patterns can be adapted for general Python-based E2E testing.

Testing & Quality Assurance

Name: Testing & Quality Assurance
Author: ikeniborn

byikeniborn

•

Security & Testing

Automates unit, integration, and E2E testing along with code quality checks for complex backend and bot workflows.

About

This skill streamlines the development of reliable software by automating the creation and execution of comprehensive test suites using pytest, ruff, and mypy. Specifically tailored for projects involving CRUD operations, SCD Type 2 versioning, and shared data models, it provides ready-to-use templates for endpoint validation, user journey simulations, and Telegram bot handlers. It ensures high code quality through integrated linting, formatting, and coverage reporting, making it indispensable for maintaining robust, production-ready codebases.

Key Features

Produces comprehensive coverage reports with pytest-cov
Provides E2E test structures for user journeys and Telegram bot handlers
Generates unit tests for models and endpoints with full CRUD coverage
4 GitHub stars
Automates linting, formatting, and type checking using ruff, black, and mypy
Creates integration tests for complex workflows like SCD Type 2 versioning

Use Cases

Validating complex SCD Type 2 versioning logic during database migrations
Maintaining high code standards across a team using automated linting and formatting
Developing new API endpoints and ensuring they adhere to shared budget data models

About

Key Features

Produces comprehensive coverage reports with pytest-cov
Provides E2E test structures for user journeys and Telegram bot handlers
Generates unit tests for models and endpoints with full CRUD coverage
4 GitHub stars
Automates linting, formatting, and type checking using ruff, black, and mypy
Creates integration tests for complex workflows like SCD Type 2 versioning

Use Cases

Validating complex SCD Type 2 versioning logic during database migrations
Maintaining high code standards across a team using automated linting and formatting
Developing new API endpoints and ensuring they adhere to shared budget data models