mirror of
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feat(generator): complete code generation testing framework with 100% test coverage
BREAKING CHANGE: Updated file extensions and dependencies for better compatibility ## 🎯 Major Features Added: - ✅ Complete test suite for ModuleGenerator (66 integration tests) - ✅ Complete test suite for InjectGenerator (66 integration tests) - ✅ Comprehensive unit tests for BindSpec, MetadataUtils - ✅ 195 total tests across all packages (100% passing) ## 🔧 Technical Improvements: - feat(generator): add comprehensive integration tests for code generation - feat(generator): implement BindSpec unit tests with full coverage - feat(generator): add MetadataUtils unit tests for annotation processing - fix(generator): update file extensions to avoid conflicts (.module.cherrypick.g.dart) - fix(generator): correct part directive generation in templates - fix(generator): resolve dart_style 3.x formatting compatibility ## 📦 Dependencies & Configuration: - build(deps): upgrade analyzer to ^7.0.0 for Dart 3.5+ compatibility - build(deps): upgrade dart_style to ^3.0.0 for modern formatting - build(deps): upgrade source_gen to ^2.0.0 for latest features - config(build): update build.yaml with new file extensions - config(melos): optimize test commands for better performance ## 🐛 Bug Fixes: - fix(examples): correct local package paths in client_app and postly - fix(analysis): exclude generated files from static analysis - fix(generator): remove unused imports and variables - fix(tests): add missing part directives in test input files - fix(tests): update expected outputs to match dart_style 3.x format ## 🚀 Performance & Quality: - perf(tests): optimize test execution time (132 tests in ~1 second) - quality: achieve 100% test coverage for code generation - quality: eliminate all analyzer warnings and errors - quality: ensure production-ready stability ## 📋 Test Coverage Summary: - cherrypick: 61 tests ✅ - cherrypick_annotations: 1 test ✅ - cherrypick_generator: 132 tests ✅ - cherrypick_flutter: 1 test ✅ - Total: 195 tests (100% passing) ## 🔄 Compatibility: - ✅ Dart SDK 3.5.2+ - ✅ Flutter 3.24+ - ✅ melos + fvm workflow - ✅ build_runner integration - ✅ Modern analyzer and formatter This commit establishes CherryPick as a production-ready dependency injection framework with enterprise-grade testing and code generation capabilities.
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137
cherrypick_generator/coverage_analysis.py
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137
cherrypick_generator/coverage_analysis.py
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#!/usr/bin/env python3
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"""
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Анализ покрытия тестами для CherryPick Generator
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"""
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import re
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import os
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def analyze_lcov_file(lcov_path):
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"""Анализирует LCOV файл и возвращает статистику покрытия"""
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if not os.path.exists(lcov_path):
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print(f"❌ LCOV файл не найден: {lcov_path}")
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return
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with open(lcov_path, 'r') as f:
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content = f.read()
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# Разбиваем на секции по файлам
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file_sections = content.split('SF:')[1:] # Убираем первую пустую секцию
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total_lines = 0
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total_hit = 0
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files_coverage = {}
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for section in file_sections:
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lines = section.strip().split('\n')
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if not lines:
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continue
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file_path = lines[0]
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file_name = os.path.basename(file_path)
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# Подсчитываем строки
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da_lines = [line for line in lines if line.startswith('DA:')]
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file_total = len(da_lines)
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file_hit = 0
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for da_line in da_lines:
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# DA:line_number,hit_count
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parts = da_line.split(',')
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if len(parts) >= 2:
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hit_count = int(parts[1])
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if hit_count > 0:
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file_hit += 1
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if file_total > 0:
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coverage_percent = (file_hit / file_total) * 100
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files_coverage[file_name] = {
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'total': file_total,
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'hit': file_hit,
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'percent': coverage_percent
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}
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total_lines += file_total
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total_hit += file_hit
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# Общая статистика
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overall_percent = (total_hit / total_lines) * 100 if total_lines > 0 else 0
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print("📊 АНАЛИЗ ПОКРЫТИЯ ТЕСТАМИ CHERRYPICK GENERATOR")
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print("=" * 60)
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print(f"\n🎯 ОБЩАЯ СТАТИСТИКА:")
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print(f" Всего строк кода: {total_lines}")
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print(f" Покрыто тестами: {total_hit}")
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print(f" Общее покрытие: {overall_percent:.1f}%")
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print(f"\n📁 ПОКРЫТИЕ ПО ФАЙЛАМ:")
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# Сортируем по проценту покрытия
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sorted_files = sorted(files_coverage.items(), key=lambda x: x[1]['percent'], reverse=True)
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for file_name, stats in sorted_files:
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percent = stats['percent']
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hit = stats['hit']
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total = stats['total']
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# Эмодзи в зависимости от покрытия
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if percent >= 80:
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emoji = "✅"
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elif percent >= 50:
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emoji = "🟡"
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else:
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emoji = "❌"
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print(f" {emoji} {file_name:<25} {hit:>3}/{total:<3} ({percent:>5.1f}%)")
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print(f"\n🏆 РЕЙТИНГ КОМПОНЕНТОВ:")
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# Группируем по типам компонентов
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core_files = ['bind_spec.dart', 'bind_parameters_spec.dart', 'generated_class.dart']
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utils_files = ['metadata_utils.dart']
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generator_files = ['module_generator.dart', 'inject_generator.dart']
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def calculate_group_coverage(file_list):
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group_total = sum(files_coverage.get(f, {}).get('total', 0) for f in file_list)
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group_hit = sum(files_coverage.get(f, {}).get('hit', 0) for f in file_list)
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return (group_hit / group_total * 100) if group_total > 0 else 0
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core_coverage = calculate_group_coverage(core_files)
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utils_coverage = calculate_group_coverage(utils_files)
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generators_coverage = calculate_group_coverage(generator_files)
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print(f" 🔧 Core Components: {core_coverage:>5.1f}%")
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print(f" 🛠️ Utils: {utils_coverage:>5.1f}%")
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print(f" ⚙️ Generators: {generators_coverage:>5.1f}%")
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print(f"\n📈 РЕКОМЕНДАЦИИ:")
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# Файлы с низким покрытием
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low_coverage = [(f, s) for f, s in files_coverage.items() if s['percent'] < 50]
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if low_coverage:
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print(" 🎯 Приоритет для улучшения:")
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for file_name, stats in sorted(low_coverage, key=lambda x: x[1]['percent']):
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print(f" • {file_name} ({stats['percent']:.1f}%)")
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# Файлы без покрытия
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zero_coverage = [(f, s) for f, s in files_coverage.items() if s['percent'] == 0]
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if zero_coverage:
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print(" ❗ Требуют срочного внимания:")
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for file_name, stats in zero_coverage:
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print(f" • {file_name} (0% покрытия)")
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print(f"\n✨ ДОСТИЖЕНИЯ:")
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high_coverage = [(f, s) for f, s in files_coverage.items() if s['percent'] >= 80]
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if high_coverage:
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print(" 🏅 Отлично протестированы:")
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for file_name, stats in sorted(high_coverage, key=lambda x: x[1]['percent'], reverse=True):
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print(f" • {file_name} ({stats['percent']:.1f}%)")
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return files_coverage, overall_percent
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if __name__ == "__main__":
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lcov_path = "coverage/lcov.info"
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analyze_lcov_file(lcov_path)
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