xst
b2a035c4f9
- 14 specialized AI agents across 5 battle zones (Prepare/Analyze/Design/Review/Monitor) - New: risk-assessor, test-strategist, data-builder, coverage-auditor, quality-gatekeeper, execution-analyst, knowledge-curator - New: fleet_runner.py orchestrator with multi-zone manifest pipeline - New: fleet_config.yml for centralized configuration - New: knowledge activation system (keyword + semantic matching) - New: semantic conflict detection with severity grading (P0-P3) - New: three-tier quality gate (PASS/PASS_WITH_FIX/BLOCKED) - New: monitor zone for test execution analysis and auto knowledge curation - Backward compatible: /case_generate alias, case_pipeline.py preserved - Comprehensive docs: USER_GUIDE.md + MAINTENANCE_GUIDE.md
139 lines
4.5 KiB
YAML
139 lines
4.5 KiB
YAML
# =============================================================================
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# Agentic QE Fleet 全局配置
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# =============================================================================
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# 本文件控制 Fleet 的所有行为开关、质量门禁阈值和 Agent 编排策略。
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# 修改后下次运行 /qe-fleet 生效，无需重启服务。
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fleet:
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name: "Agentic QE Fleet"
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version: "2.0.0"
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description: "14 个专业 AI Agent 组成的自治质量工程舰队"
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# ---------------------------------------------------------------------------
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# 战区配置
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# ---------------------------------------------------------------------------
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# enabled: 是否启用该战区
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# auto_confirm: 该战区产物是否自动确认（true=跳过人工确认直接进入下一战区）
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# 注意: Monitor 战区默认 auto_confirm=true，因为它的产物是建议性的
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battle_zones:
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prepare:
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enabled: true
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auto_confirm: false
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description: "文档解析 + 知识激活"
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analyze:
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enabled: true
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auto_confirm: false
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description: "需求分析 + 冲突检测 + 风险评估"
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design:
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enabled: true
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auto_confirm: false
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description: "测试策略 + 测试点 + 用例 + 测试数据"
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review:
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enabled: true
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auto_confirm: false
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description: "用例评审 + 覆盖率审计 + 质量门禁"
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monitor:
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enabled: true
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auto_confirm: true
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description: "执行分析 + 知识沉淀（建议性产出）"
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# ---------------------------------------------------------------------------
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# 质量门禁
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# ---------------------------------------------------------------------------
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quality_gate:
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# 最低需求覆盖率（需求条目 → 测试用例追溯比例）
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min_coverage: 0.95
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# 最大允许阻断项（超过则 BLOCKED）
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max_blockers: 0
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# 是否强制要求测试数据构造
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require_data_builder: true
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# 是否强制要求风险评估
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require_risk_assessment: true
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# 评审阻断项自动修复最大重试次数
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auto_fix_max_retries: 3
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# ---------------------------------------------------------------------------
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# Monitor 战区（知识沉淀回写策略）
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# ---------------------------------------------------------------------------
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monitor:
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# P0 确认缺陷自动沉淀到知识库（无需人工确认）
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auto_curate_p0: true
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# P1-P3 缺陷默认需人工确认后才沉淀
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auto_curate_p1_p3: false
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# 支持的测试结果格式
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supported_formats:
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- junit # JUnit XML
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- json # 自定义 JSON
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- markdown # 结构化 Markdown 报告
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# 失败模式识别阈值：同一模式出现 N 次以上标记为系统性问题
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pattern_detection_threshold: 3
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# 知识去重相似度阈值 (Jaccard)
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dedup_similarity_threshold: 0.65
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# ---------------------------------------------------------------------------
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# 输出配置
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# ---------------------------------------------------------------------------
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output:
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# Excel 导出格式
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excel_format: "yunxiao" # 云效字段模型
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# 版本快照保留数量
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snapshot_keep: 3
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# export 后是否自动同步正式维护版到 requirements/
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auto_sync_maintained: true
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# 产物编码
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encoding: "utf-8"
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# ---------------------------------------------------------------------------
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# 冲突检测配置
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# ---------------------------------------------------------------------------
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conflict_detection:
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# 关联需求相似度阈值 (Jaccard)
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related_similarity_threshold: 0.015
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# 冲突判定相似度阈值 (Jaccard)
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conflict_similarity_threshold: 0.22
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# 最大关联需求数
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max_related_requirements: 5
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# 启用语义级冲突检测 (结合术语解释判断)
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semantic_conflict_detection: true
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# ---------------------------------------------------------------------------
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# 知识激活配置
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# ---------------------------------------------------------------------------
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knowledge_activation:
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# 常驻知识（始终激活，不受需求内容影响）
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permanent:
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- "knowledge_base/01_standards/terminology.md"
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- "knowledge_base/01_standards/test_case_template.md"
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- "knowledge_base/01_standards/definition_of_done.md"
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- "knowledge_base/01_standards/review_checklist.md"
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# 关键词匹配规则
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keyword_rules:
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- name: "saas"
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path: "knowledge_base/01_standards/terminology_optional_saas.md"
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keywords:
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- "导购", "分销", "佣金", "企微", "企业微信", "私域"
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- "储值", "礼品卡", "会员储值"
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# 语义匹配最低相似度
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semantic_match_threshold: 0.08
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