Skip to content

Requirements Document

Introduction

本文档定义了 FastQTools 项目的 Benchmark 系统需求。该系统旨在提供一套完整的性能评测框架，支持性能基准测试、结果可视化、历史对比和自动化报告生成，帮助开发者持续监控和优化程序性能。

Glossary

  • Benchmark_System: 性能基准测试系统，负责执行性能测试、收集指标、生成报告
  • Performance_Metric: 性能指标，包括吞吐量、延迟、内存使用等可量化的性能数据
  • Benchmark_Runner: 基准测试执行器，负责运行测试并收集原始数据
  • Report_Generator: 报告生成器，负责将性能数据转换为可视化报告
  • Baseline: 性能基线，用于对比的参考性能数据
  • Regression_Detector: 性能回归检测器，用于识别性能下降
  • Visualization_Engine: 可视化引擎，负责生成图表和性能报告

Requirements

Requirement 1: 执行性能基准测试

User Story: As a developer, I want to run comprehensive performance benchmarks, so that I can measure the performance of FastQTools under various conditions.

Acceptance Criteria

  1. WHEN a developer executes the benchmark command, THE Benchmark_Runner SHALL execute all registered benchmark scenarios and collect performance metrics
  2. WHEN benchmarking FASTQ read operations, THE Benchmark_Runner SHALL measure throughput (reads/second, MB/s), latency (average, p50, p95, p99), and memory usage
  3. WHEN benchmarking FASTQ write operations, THE Benchmark_Runner SHALL measure compression ratio, write throughput, and CPU utilization
  4. WHEN benchmarking filter operations, THE Benchmark_Runner SHALL measure end-to-end processing time with various filter configurations
  5. WHEN benchmarking stat operations, THE Benchmark_Runner SHALL measure analysis throughput for different file sizes
  6. THE Benchmark_Runner SHALL support configurable thread counts (1, 2, 4, 8 threads) for parallel performance testing
  7. THE Benchmark_Runner SHALL support multiple input file sizes (small: 10K reads, medium: 100K reads, large: 1M reads) for scalability testing
  8. IF a benchmark execution fails, THEN THE Benchmark_Runner SHALL log the error and continue with remaining benchmarks

Requirement 2: 收集和存储性能数据

User Story: As a developer, I want benchmark results to be stored in a structured format, so that I can track performance over time and compare different versions.

Acceptance Criteria

  1. WHEN a benchmark completes, THE Benchmark_System SHALL store results in JSON format with timestamp, git commit hash, and system information
  2. THE Benchmark_System SHALL store the following metrics for each benchmark: name, iterations, mean time, standard deviation, min, max, throughput, and memory peak
  3. WHEN storing results, THE Benchmark_System SHALL include system metadata: CPU model, core count, memory size, OS version, and compiler version
  4. THE Benchmark_System SHALL maintain a history of benchmark results in a benchmark_results/ directory
  5. WHEN a new benchmark run completes, THE Benchmark_System SHALL append results to the historical data without overwriting previous results

Requirement 3: 生成可视化性能报告

User Story: As a developer, I want to generate visual performance reports, so that I can easily understand and share performance characteristics.

Acceptance Criteria

  1. WHEN generating a report, THE Report_Generator SHALL create charts showing throughput trends over time
  2. WHEN generating a report, THE Report_Generator SHALL create comparison charts between different configurations (thread counts, file sizes)
  3. THE Report_Generator SHALL output reports in Markdown format suitable for GitHub README integration
  4. THE Report_Generator SHALL generate SVG or PNG charts that can be embedded in documentation
  5. WHEN generating charts, THE Visualization_Engine SHALL include axis labels, legends, and data point annotations
  6. THE Report_Generator SHALL create a summary table with key performance metrics for quick reference

Requirement 4: 检测性能回归

User Story: As a developer, I want to automatically detect performance regressions, so that I can catch performance issues before they reach production.

Acceptance Criteria

  1. WHEN comparing current results with baseline, THE Regression_Detector SHALL flag any metric that degrades by more than 10% as a warning
  2. WHEN comparing current results with baseline, THE Regression_Detector SHALL flag any metric that degrades by more than 20% as a critical regression
  3. THE Regression_Detector SHALL compare against the most recent baseline or a specified baseline version
  4. WHEN a regression is detected, THE Regression_Detector SHALL output a detailed comparison showing the specific metrics that regressed
  5. THE Regression_Detector SHALL support setting custom thresholds for different metrics

Requirement 5: 集成到 CI/CD 流程

User Story: As a developer, I want benchmarks to run automatically in CI, so that performance is continuously monitored.

Acceptance Criteria

  1. THE Benchmark_System SHALL provide a CI-compatible script that can be invoked in GitHub Actions
  2. WHEN running in CI mode, THE Benchmark_System SHALL output results in a format suitable for GitHub Actions annotations
  3. THE Benchmark_System SHALL support a --ci flag that enables CI-specific output formatting
  4. WHEN a performance regression is detected in CI, THE Benchmark_System SHALL exit with a non-zero status code
  5. THE Benchmark_System SHALL generate a performance badge that can be displayed in the README

Requirement 6: 管理性能基线

User Story: As a developer, I want to manage performance baselines, so that I can track improvements and regressions against known good states.

Acceptance Criteria

  1. THE Benchmark_System SHALL provide a command to save current results as a new baseline
  2. THE Benchmark_System SHALL support multiple named baselines (e.g., "release-1.0", "pre-optimization")
  3. WHEN saving a baseline, THE Benchmark_System SHALL store it in a version-controlled location
  4. THE Benchmark_System SHALL provide a command to list all available baselines
  5. THE Benchmark_System SHALL provide a command to compare any two baselines

Requirement 7: 支持自定义测试数据

User Story: As a developer, I want to use custom FASTQ test data, so that I can benchmark with realistic data that matches my use cases.

Acceptance Criteria

  1. THE Benchmark_System SHALL accept user-provided FASTQ files as benchmark input
  2. THE Benchmark_System SHALL provide a data generator for creating synthetic test data with configurable parameters
  3. WHEN generating test data, THE Data_Generator SHALL support configurable read count, read length distribution, and quality score distribution
  4. THE Benchmark_System SHALL validate input files before benchmarking and report any format issues
  5. THE Benchmark_System SHALL support both compressed (.gz) and uncompressed FASTQ files

Requirement 8: 输出性能报告到文档

User Story: As a developer, I want to publish performance reports to documentation, so that users can see the performance characteristics of FastQTools.

Acceptance Criteria

  1. THE Report_Generator SHALL create a standalone performance report page suitable for the docs/ directory
  2. THE Report_Generator SHALL generate a performance summary section suitable for embedding in README.md
  3. WHEN updating documentation, THE Report_Generator SHALL preserve existing content and only update the performance sections
  4. THE Report_Generator SHALL include benchmark methodology and system specifications in the report
  5. THE Report_Generator SHALL generate relative performance comparisons with similar tools (if baseline data is available)