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Playwright test debugging with AI assistance + UI Test Coverage Analysis","maintainers":[{"name":"vadim-lunin","email":"v13149@gmail.com"}],"readme":"# @playwright-ai/auto-debug\n\n🤖 **Автоматическая отладка Playwright тестов с помощью ИИ**\n\n[![npm version](https://img.shields.io/npm/v/playwright-ai-auto-debug.svg)](https://www.npmjs.com/package/playwright-ai-auto-debug)\n\n## ✨ Основные возможности\n\n- 🤖 **AI-анализ ошибок** - автоматическое определение причин падения тестов\n- 📊 **UI Test Coverage** - реальное покрытие элементов интерфейса тестами (НОВОЕ!)\n- 🎯 **Объединенные отчеты** - drill-down анализ по тестам, страницам и элементам\n- 📊 **Интеграция с отчетами** - встраивание решений в HTML и Allure отчеты  \n- 🏗️ **Clean Architecture** - Domain-Driven Design с DI контейнером\n- 🔌 **MCP Integration** - DOM snapshots для точной диагностики\n- 🎯 **Умное сопоставление** - ИИ решения прикрепляются к релевантным тестам\n- 🧩 **Множественные AI провайдеры** - OpenAI, Mistral, LocalAI с единым интерфейсом\n- 🖥️ **Современный CLI** - команды `debug`, `info`, `setup`, `validate`\n- 🔧 **Простая настройка** - конфигурация через `ai.conf.js` или `.ts`\n\n## 🚀 Быстрый старт\n\n```bash\n# 1. Установка\nnpm install playwright-ai-auto-debug\n\n# 2. Создание конфигурации\necho \"export const ai_conf = { api_key: 'your-api-key' };\" > ai.conf.js\n\n# 3. Интерактивная настройка\nnpx playwright-ai setup\n\n# 4. Запуск анализа\nnpx playwright-ai debug\n\n# 5. Запуск с MCP (DOM snapshots)\nnpx playwright-ai debug --use-mcp    # Рекомендуется для точной диагностики\n```\n\n## 🎯 UI Test Coverage (НОВОЕ!)\n\n**Система реального покрытия элементов интерфейса тестами:**\n\n```bash\n# 1. Установка и настройка в проекте\nnpm install playwright-ai-auto-debug\nnpx playwright-ai coverage init\n\n# 2. Использование в тестах\n```\n\n```javascript\n// Импорт из локальной папки (создается автоматически)\nimport { test, expect } from './coverage-lib/fixture.js';\n\ntest.describe('🎯 Мои тесты с покрытием', () => {\n  test('✅ Автоматическое отслеживание', async ({ page }) => {\n    await page.goto('https://example.com');\n    \n    // Каждое взаимодействие автоматически отслеживается\n    await page.locator('button').click();\n    await page.locator('#login').fill('user');\n    await page.locator('text=Submit').click();\n  });\n});\n```\n\n```bash\n# 3. Запуск тестов с покрытием\nnpm run test:coverage\n\n# 4. Открытие объединенного отчета\nnpm run coverage:open\n# или\nopen test-coverage-reports/index.html\n```\n\n**🎯 Объединенный отчет показывает:**\n- **📊 Общее покрытие** - процент элементов покрытых тестами\n- **🌐 По страницам** - drill-down анализ каждой страницы  \n- **🧪 По тестам** - какие элементы покрывает каждый тест\n- **🎯 Непокрытые элементы** - с предлагаемыми селекторами\n- **📝 Анализ селекторов** - эффективность использования\n- **💡 Интерактивная навигация** - клик для детализации\n\n**✨ Ключевые особенности:**\n- **Один отчет** вместо множества файлов\n- **Drill-down интерфейс** для проваливания в детали\n- **Автоматическое отслеживание** всех взаимодействий с элементами\n- **Приоритизация элементов** по важности для тестирования\n- **Умные рекомендации** селекторов для непокрытых элементов\n\n### 🎯 Workflow для пользователя:\n\n```bash\n# В любом Playwright проекте:\nnpm install playwright-ai-auto-debug   # Установка\nnpx playwright-ai coverage init        # Настройка (один раз)\n\n# В ваших тестах просто замените импорт:\n# ❌ import { test, expect } from '@playwright/test';\n# ✅ import { test, expect } from './coverage-lib/fixture.js';\n\nnpm run test:coverage                   # Запуск с покрытием\nnpm run coverage:open                   # Открытие отчета\n```\n\n**📊 Результат:** Интерактивный HTML отчет с:\n- Общей статистикой покрытия по всем тестам\n- Анализом по каждой странице и тесту  \n- Списком непокрытых элементов с селекторами\n- Возможностью \"провалиться\" в детали\n\n> 📖 **Подробные инструкции**: [docs/QUICK_START.md](./docs/QUICK_START.md)\n\n## 🔗 Новое: MCP Integration\n\n**Model Context Protocol (MCP)** обеспечивает получение структурированной информации о DOM:\n- 📸 **DOM snapshots** в AI промптах для точной локализации проблем\n- 🧪 **Валидация действий** через MCP browser automation  \n- 🎯 **Точные селекторы** на основе реальной структуры страницы\n\n> 📖 **Подробное руководство**: [docs/MCP_INTEGRATION.md](./docs/MCP_INTEGRATION.md)\n\n## 🖥️ CLI Команды (v3.2.0+)\n\n**Новая архитектура** предоставляет расширенный набор команд:\n\n```bash\n# 🔍 Основные команды\nnpx playwright-ai debug              # Анализ ошибок тестов\nnpx playwright-ai debug --use-mcp    # С DOM snapshots через MCP\nnpx playwright-ai debug --parallel 4 # Параллельная обработка\nnpx playwright-ai info               # Информация о системе и конфигурации\nnpx playwright-ai setup              # Интерактивная настройка проекта\nnpx playwright-ai validate           # Проверка конфигурации\nnpx playwright-ai doctor             # Диагностика путей и артефактов\nnpx playwright-ai doctor --fix       # Автоматически создать недостающие папки\nnpx playwright-ai doctor --json      # Вывод в JSON\n\n# 🎯 UI Test Coverage\nnpx playwright-ai coverage init      # Настройка системы покрытия\nnpx playwright-ai coverage info      # Информация о покрытии\nnpx playwright-ai ui-coverage        # Анализ покрытия с MCP DOM snapshots\n\n# 📊 Справка\nnpx playwright-ai help               # Справка по всем командам\nnpx playwright-ai help debug         # Справка по конкретной команде\n```\n\n<!-- ## 🎥 Demo Video\n\n[![Demo Video](https://img.youtube.com/vi/mva6ktpKOKw/maxresdefault.jpg)](https://youtu.be/mva6ktpKOKw) -->\n\n## 📚 Документация\n\n| Руководство | Описание |\n|-------------|----------|\n| 📖 [Быстрый старт](./docs/QUICK_START.md) | Пошаговая установка и настройка за 5 минут |\n| 🔌 [MCP Integration](./docs/MCP_INTEGRATION.md) | DOM snapshots и browser automation |\n| 🏗️ [Архитектура](./docs/ARCHITECTURE.md) | Clean Architecture и расширение системы |\n| ⚙️ [Конфигурация](./docs/CONFIGURATION.md) | Все параметры и настройки |\n| 🆘 [Решение проблем](./docs/TROUBLESHOOTING.md) | Типичные ошибки и их исправление |\n\n## 🎭 Демо проект\n\nДля изучения всех возможностей используйте готовый демо проект:\n\n```bash\ncd DemoProject\nnpm install\nnpm run demo:full  # Полная демонстрация с AI анализом\n```\n\n> 📖 **Подробности**: [DemoProject/README.md](./DemoProject/README.md)\n\n## 🔍 Как это работает\n\n### 🤖 AI Debug System:\n1. **🔍 Поиск ошибок** - FileErrorRepository находит файлы с ошибками тестов\n2. **🧠 AI анализ** - Strategy Pattern для выбора AI провайдера (OpenAI/Mistral/LocalAI)\n3. **🔌 MCP интеграция** - получение DOM snapshots для точной диагностики\n4. **📊 Обновление отчетов** - модульные репортеры встраивают решения в HTML/Allure\n5. **🎯 Умное сопоставление** - алгоритм скоринга прикрепляет решения к релевантным тестам\n6. **🧩 DI управление** - Dependency Injection координирует все компоненты\n\n### 🎯 UI Test Coverage System:\n1. **🔧 Автоматическая настройка** - `npx playwright-ai coverage init` копирует файлы\n2. **🕵️ Перехват взаимодействий** - Playwright fixture отслеживает все `page.locator()`, `click()`, `fill()`\n3. **📄 Анализ страниц** - извлечение всех интерактивных элементов с DOM\n4. **🎯 Сопоставление** - сравнение найденных элементов с используемыми в тестах\n5. **📊 Объединенный отчет** - генерация единого HTML отчета с drill-down навигацией\n6. **💡 Умные рекомендации** - предложения селекторов для непокрытых элементов\n\n## 🏗️ Clean Architecture (v3.2.0+)\n\nВерсия 3.2.0+ расширена **UI Test Coverage System** и полностью переработана с **Clean Architecture** для профессиональной разработки:\n\n- **🏛️ Domain Layer** - Rich domain entities с бизнес-логикой (`TestError`, `AIResponse`)\n- **🎯 Application Layer** - Use Cases и сервисы (`AnalyzeTestErrorsUseCase`, `TestDebugService`)  \n- **🔧 Infrastructure Layer** - AI провайдеры, репортеры, MCP клиент, **UI Coverage System**\n- **🖥️ Presentation Layer** - CLI с командами `debug`, `coverage`, `info`, `setup`, `validate`\n- **🧩 DI Container** - Dependency Injection для управления зависимостями\n\n```bash\nnpx playwright-ai debug --use-mcp    # Анализ ошибок с MCP\nnpx playwright-ai info               # Информация о системе\nnpx playwright-ai setup              # Интерактивная настройка\nnpx playwright-ai validate           # Проверка конфигурации\nnpx playwright-ai doctor             # Диагностика путей и окружения\n\n# UI Test Coverage\nnpx playwright-ai coverage init      # Настройка покрытия\nnpx playwright-ai coverage info      # Информация о покрытии\n```\n\n## 🤖 AI Провайдеры\n\n### 🤖 OpenAI\n```javascript\n// ai.conf.js\nexport const ai_conf = {\n  api_key: 'sk-...',\n  ai_server: 'https://api.openai.com/v1/chat/completions',\n  model: 'gpt-4'\n};\n```\n\n### 🔮 Mistral AI\n```javascript\n// ai.conf.js\nexport const ai_conf = {\n  api_key: 'your-mistral-key',\n  ai_server: 'https://api.mistral.ai/v1/chat/completions',\n  model: 'mistral-large'\n};\n```\n\n### 🏠 Local AI (LM Studio, Ollama)\n```javascript\n// ai.conf.js\nexport const ai_conf = {\n  api_key: 'not-needed',\n  ai_server: 'http://localhost:1234/v1/chat/completions',\n  model: 'auto-detect'\n};\n```\n\n> 📖 **Подробнее**: [docs/ARCHITECTURE.md](./docs/ARCHITECTURE.md)\n\n## 📋 Пример результата\n\nПосле выполнения команды в ваших HTML отчетах появится стильный блок с AI решением:\n\n```html\n<div class=\"ai-debug-section\">\n  <h2 class=\"ai-debug-header\">🤖 AI Debug Assistant</h2>\n  <div class=\"ai-debug-content\">\n    <div class=\"ai-error-section\">\n      <div class=\"ai-section-title\">❌ Обнаруженная ошибка</div>\n      <div class=\"ai-error-details\">Error: Timeout waiting for selector...</div>\n    </div>\n    <div class=\"ai-solution-section\">\n      <div class=\"ai-section-title\">💡 Рекомендуемое решение</div>\n      <div class=\"ai-solution-content\">\n        <p>Попробуйте добавить ожидание перед этим шагом...</p>\n      </div>\n    </div>\n  </div>\n</div>\n```\n\n## ⚙️ Системные требования\n\n- **Node.js** >= 16.0.0\n- **Playwright** проект с настроенными тестами\n- **AI провайдер** - API ключ или локальный сервер (OpenAI, Mistral, LocalAI)\n\n## 🔧 Поддерживаемые форматы\n\n### Файлы ошибок\n- `copy-prompt.txt` - стандартные файлы Playwright\n- `error-context.md` - расширенный формат с контекстом\n- `*-error.txt`, `*-error.md` - пользовательские форматы\n- **Автоматическое определение типа** - timeout, selector, assertion, network ошибки\n\n### Отчеты\n- **HTML отчеты** Playwright с встроенными AI блоками\n- **Allure отчеты** с AI вложениями для упавших тестов\n- **Markdown файлы** с сохраненными AI ответами\n\n## 🔒 Безопасность\n\n- **🔐 Локальное хранение API ключей** - в `ai.conf.js`/`ai.conf.ts`\n- **🛡️ Защита приватных данных** - добавьте `ai.conf.*` в `.gitignore`\n- **⏱️ Rate limiting** - автоматическое ограничение API запросов\n- **🏠 Поддержка локальных AI** - полная приватность с LocalAI/Ollama\n- **🔍 Валидация конфигурации** - проверка настроек через `validate` команду\n\n## 🤝 Участие в разработке\n\n1. **Fork репозитория** и клонируйте локально\n2. **Изучите архитектуру** - ознакомьтесь с [docs/ARCHITECTURE.md](./docs/ARCHITECTURE.md)\n3. **Создайте feature branch** для новой функциональности\n4. **Следуйте принципам** - Clean Architecture, SOLID, DDD\n5. **Добавьте тесты** - для новых Use Cases и Entity\n6. **Используйте DI контейнер** - регистрируйте зависимости в `bindings.js`\n7. **Создайте Pull Request** с описанием изменений\n\n## 📄 Лицензия\n\nMIT License - см. [LICENSE](LICENSE) файл для деталей. ","readmeFilename":"README.md"}