AI 测试工程化

class TestDatasetManager:
    """测试数据集管理器"""
    
    def __init__(self, version_store):
        self.version_store = version_store
    
    def create_dataset(self, name: str, 
                       samples: List[Sample],
                       metadata: Dict) -> DatasetVersion:
        """创建版本化的测试数据集"""
        version = self.version_store.create(
            name=name,
            samples=samples,
            metadata=metadata,
        )
        
        # 自动生成统计报告
        stats = self._compute_statistics(samples)
        version.set_statistics(stats)
        
        return version
    
    def split_dataset(self, dataset: DatasetVersion,
                      ratios: Dict[str, float] = None) -> Dict[str, DatasetVersion]:
        """
        数据集划分
        
        策略:
        - stratified: 分层采样，保持分布一致
        - temporal: 按时间划分
        - semantic: 按语义类别划分
        """
        # 防止数据泄漏的划分
        return self._stratified_split(dataset, ratios or {'train': 0.7, 'val': 0.15, 'test': 0.15})
    
    def _compute_statistics(self, samples: List[Sample]) -> DatasetStats:
        """计算数据集统计信息"""
        return DatasetStats(
            total_samples=len(samples),
            category_distribution=self._category_dist(samples),
            quality_score=self._quality_score(samples),
            coverage=self._coverage_analysis(samples),
        )

class DataQualityMonitor:
    """数据质量监控"""
    
    def monitor(self, dataset: DatasetVersion) -> QualityReport:
        """
        全面数据质量检测
        
        检测项:
        1. 完整性: 缺失值、空样本
        2. 一致性: 标签冲突、格式不一致
        3. 准确性: 标注质量抽样
        4. 分布漂移: 与基线分布对比
        5. 数据泄漏: 训练-测试集重复检测
        """
        report = QualityReport(dataset_id=dataset.id)
        
        # 完整性检查
        report.add_check('completeness', self._check_completeness(dataset))
        
        # 一致性检查
        report.add_check('consistency', self._check_consistency(dataset))
        
        # 分布分析
        report.add_check('distribution', self._check_distribution(dataset))
        
        # 数据泄漏检测
        report.add_check('leakage', self._check_data_leakage(dataset))
        
        return report

class QualityGate:
    """质量门禁 - 定义通过/拒绝标准"""
    
    def __init__(self, config: QualityGateConfig):
        self.config = config
    
    def check(self, build_result: BuildResult) -> GateResult:
        """
        检查构建结果是否通过质量门禁
        
        检查项:
        1. 功能测试通过率
        2. 性能指标达标
        3. 安全测试无高危
        4. 模型精度不下降
        5. 回归测试零失败
        """
        results = []
        
        # 功能测试
        func_pass_rate = build_result.function_test.pass_rate
        results.append(self._check_pass_rate(
            func_pass_rate, self.config.min_function_pass_rate
        ))
        
        # 性能测试
        results.append(self._check_latency(
            build_result.performance.avg_latency,
            self.config.max_latency
        ))
        
        # 模型精度
        results.append(self._check_accuracy_degradation(
            build_result.model.baseline_accuracy,
            build_result.model.current_accuracy,
            self.config.max_accuracy_drop
        ))
        
        return GateResult(
            passed=all(r.passed for r in results),
            results=results,
        )

class ModelRegistryTester:
    """模型注册表测试"""
    
    def validate_model(self, model: ModelVersion, 
                       previous_version: ModelVersion = None) -> ValidationReport:
        """
        模型上线前验证
        
        检查清单:
        1. 模型文件完整性校验
        2. 模型规格验证（输入/输出维度）
        3. 基准测试对比
        4. 安全测试
        5. 兼容性测试
        """
        report = ValidationReport(model_id=model.id)
        
        # 完整性校验
        report.add_check('integrity', self._verify_integrity(model))
        
        # 规格验证
        report.add_check('specification', self._verify_spec(model))
        
        # 基准测试
        if previous_version:
            report.add_check('regression', 
                self._compare_with_baseline(model, previous_version))
        
        # 安全测试
        report.add_check('security', self._security_test(model))
        
        # 兼容性测试
        report.add_check('compatibility', self._compatibility_test(model))
        
        return report

class TestExecutionEngine:
    """测试执行引擎"""
    
    def __init__(self, config: EngineConfig):
        self.config = config
        self.dispatcher = TestDispatcher()
        self.reporter = TestReporter()
    
    def execute(self, test_suite: TestSuite) -> ExecutionReport:
        """
        执行测试套件
        
        流程:
        1. 加载测试数据
        2. 调度测试任务
        3. 并行执行
        4. 收集结果
        5. 生成报告
        """
        # 初始化执行环境
        environment = self._setup_environment(test_suite)
        
        # 获取测试用例
        cases = self.dispatcher.schedule(test_suite.cases)
        
        # 并行执行
        results = self._parallel_execute(cases, environment)
        
        # 汇总结果
        report = self.reporter.generate(results)
        
        # 持久化
        self._save_report(report)
        
        return report