From 5989d3978521e5f8bba1c56aa9887d7afc52ef2a Mon Sep 17 00:00:00 2001 From: Hermes CI Bot Date: Thu, 9 Jul 2026 20:38:41 +0800 Subject: [PATCH] feat: add eval baseline 2026-07-09 - First baseline snapshot for drift detection - 16/16 test cases passed - 0 failures, 0 errors --- baselines/baseline-20260709.json | 3069 ++++++++++++++++++++++++++++++ 1 file changed, 3069 insertions(+) create mode 100644 baselines/baseline-20260709.json diff --git a/baselines/baseline-20260709.json b/baselines/baseline-20260709.json new file mode 100644 index 0000000..8ae5064 --- /dev/null +++ b/baselines/baseline-20260709.json @@ -0,0 +1,3069 @@ +{ + "evalId": "eval-2hk-2026-07-09T12:37:04", + "results": { + "version": 3, + "timestamp": "2026-07-09T12:37:04.476Z", + "prompts": [ + { + "id": "d14cab9d0ede3929dd393470d365868ab01527aa72276eb43ca3ab2fc48a6766", + "raw": "请以项目经理Bot的身份回答：{{question}}", + "label": "请以项目经理Bot的身份回答：{{question}}", + "provider": "openai:chat:deepseek-chat", + "metrics": { + "score": 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**任务完成率**：查看任务列表，区分“已关闭”、“进行中”、“未开始”。注意：**90%完成的任务往往是最危险的**，可能卡在最后10%的细节或验收上。\n3. **燃尽图（敏捷项目）**：看剩余工作量曲线是否在理想线下方。如果曲线持续高于理想线，说明进度滞后。\n\n### 第二层：关键指标（看“数”）\n光看表不够，要量化风险：\n- **关键路径**：找出项目中最长的那条任务链（延迟一天，整个项目就延迟一天）。**优先检查关键路径上的任务状态**。\n- **挣值管理（EVM）**：如果项目较大，计算：\n - **SPI（进度绩效指数）**：SPI < 1 表示进度落后。\n - **CPI（成本绩效指数）**：CPI < 1 表示超支（进度快但超支也是风险）。\n- **依赖关系**：检查是否有任务因为前置任务未完成而“阻塞”。阻塞任务会像多米诺骨牌一样拖垮后续进度。\n\n### 第三层：真实状态（看“人”和“事”）\n数据可能骗人，需要深入沟通：\n1. **每日站会/周会**：听团队成员说“我遇到了什么阻碍”而不是“我做了什么”。**主动问**：“你预计什么时候能完成？有没有什么需要我协调的？”\n2. **风险登记册**：查看当前已识别的风险是否已触发。例如：关键人员请假、供应商延迟、技术方案变更。\n3. **质量反馈**：进度快但Bug多，等于白做。检查测试通过率、缺陷趋势图。如果缺陷率突然上升，说明进度可能靠牺牲质量换取。\n\n### 我的建议（作为Bot的实操步骤）：\n1. **每周固定时间**：打开项目管理工具（如Jira、Asana、Excel），先看**关键路径**和**里程碑**。\n2. **问三个问题**：\n - 本周计划完成的任务，实际完成了多少？\n - 有没有任何任务比计划晚了超过3天？\n - 下周有没有可能因为依赖关系而卡住的任务？\n3. **可视化**：用红黄绿灯标注状态。\n - 🟢 正常：按计划进行。\n - 🟡 预警：有延迟风险，但可补救（如加班、加人）。\n - 🔴 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检查已完成任务的交付物是否通过了评审或测试。如果为了赶进度而牺牲质量，后期返工成本会吞噬所有“进度优势”。\n - **实战案例**：某开发团队声称完成了80%的代码，但测试发现50%的模块有严重bug。此时真实进度可能只有40%。\n - **建议**：在进度报告中加入“质量状态”列（绿色/黄色/红色），与进度百分比并列展示。\n\n### 第三维：看“资源与依赖”——进度背后的隐形杀手\n- **关键指标**：资源利用率、依赖任务状态、瓶颈识别。\n- **具体做法**：\n - **资源负载**：检查团队成员是否超负荷？是否有任务因等待审批、采购、外部接口而停滞？\n - **依赖关系**：用“前导图”或“依赖矩阵”梳理任务间的逻辑关系。例如：A任务未完成，B任务无法开始，那么A的延迟就是B的“进度杀手”。\n - **行动**：每周召开“依赖协调会”，专门解决跨团队、跨部门的阻塞点。\n\n### 第四维：看“风险与缓冲”——进度是动态的\n- **关键指标**：风险登记册更新频率、缓冲消耗率。\n- **具体做法**：\n - **风险监控**：检查已识别的风险是否触发？是否有新风险出现？例如：核心成员请假、供应商延迟交货。\n - **缓冲管理**：如果你在计划中预留了“应急缓冲”（如总工期的10%），要监控缓冲消耗速度。如果缓冲消耗过快（如项目进行到30%，缓冲已用掉50%），说明进度失控风险极高。\n - **工具**：使用“燃尽图”或“挣值管理（EVM）”中的SPI（进度绩效指数）和CPI（成本绩效指数）。SPI<0.9意味着进度落后。\n\n### 第五维：看“干系人感知”——进度是主观的\n- **关键指标**：干系人满意度、沟通频率、变更请求数量。\n- **具体做法**：\n - **定期汇报**：不要只给老板看数据，要讲“故事”。例如：“目前进度90%，但最后10%是集成测试，风险较高，我们已准备备用方案。”\n - **变更管理**：频繁的变更请求往往意味着需求不稳定，这会严重扭曲进度。统计变更次数和影响范围，判断进度是否被“隐性拖慢”。\n - **沟通**：主动询问关键干系人：“您觉得项目进度符合预期吗？”有时他们感知到的“慢”比实际数据更重要。\n\n### 实战总结：一个项目经理的“进度看板”示例\n\n| 维度 | 核心问题 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"作为项目管理者，制定清晰的代码审查标准是确保代码质量、团队协作效率和项目长期可维护性的关键。代码审查不仅仅是“找bug”，更是一个知识传递和统一规范的过程。\n\n以下是通用的代码审查标准框架，你可以根据团队的技术栈和项目阶段进行调整：\n\n### 一、 核心原则：审查什么，不审查什么\n\n1. **审查逻辑与设计，而非个人风格**：关注代码是否实现了需求，架构是否合理，而不是纠结于“大括号是否换行”这类可被格式化工具自动解决的问题。\n2. **审查可维护性，而非完美性**：代码是否易于他人理解和修改？是否过度设计？允许“足够好”的代码通过，避免因追求完美而阻塞开发进度。\n3. **审查安全性，而非假设**：假设所有输入都是恶意的。检查是否存在SQL注入、XSS、敏感信息泄露等常见安全漏洞。\n\n### 二、 具体审查标准（按优先级排序）\n\n#### 1. 功能正确性与逻辑（最高优先级）\n- **需求匹配**：代码是否准确实现了需求文档或用户故事中的功能？\n- **边界条件**：是否处理了空值、异常值、极限值（如最大/最小输入）？\n- **错误处理**：是否有合理的try-catch或错误返回？错误信息是否对用户友好且不泄露内部细节？\n- **并发与竞态**：多线程或异步代码中是否存在数据竞争、死锁或状态不一致问题？\n\n#### 2. 代码架构与设计（次高优先级）\n- **单一职责**：函数/类是否只做一件事？是否过长或过于复杂？\n- **耦合与内聚**：模块间的依赖是否合理？是否可以通过接口或依赖注入解耦？\n- **可扩展性**：未来增加新功能时，是否需要大量修改现有代码？（开闭原则）\n- **复用性**：是否存在重复代码？是否应该提取为公共工具函数或组件？\n\n#### 3. 可读性与可维护性（团队协作基础）\n- **命名规范**：变量、函数、类名是否清晰表达其用途？（如 `getUserById` 优于 `getData`）\n- **注释质量**：注释是否解释了“为什么”而非“是什么”？是否有多余或误导性的注释？\n- **代码复杂度**：圈复杂度是否过高？是否可以通过拆分函数或使用设计模式降低复杂度？\n- **一致性**：是否遵循了团队约定的代码风格（缩进、命名法、文件结构）？\n\n#### 4. 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"connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:37:20 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "14578658937550192364", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "5f818e2c0b1d70b35adbeaa9ff975007" + } + }, + "_promptfooFileMetadata": {} + }, + "failureReason": 0 + }, + { + "cost": 0, + "gradingResult": { + "pass": true, + "score": 1, + "reason": "All assertions passed", + "namedScores": {}, + "tokensUsed": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 0 + }, + "componentResults": [ + { + "pass": true, + "score": 1, + "reason": "Assertion passed", + "assertion": { + "type": "contains-any", + "value": [ + "日志", + "失败", + "排查", + "恢复", + "回滚" + ] + } + }, + { + "pass": true, + "score": 1, + "reason": "Assertion passed", + "assertion": { + "type": "latency", + "threshold": 15000 + } + } + ] + }, + "id": "953107b0-9dc0-469e-9f49-4ef968cc486f", + "latencyMs": 125, + "namedScores": {}, + "prompt": { + "raw": "你是一个项目管理者。请回答：CI/CD pipeline失败了怎么办？", + "label": "你是一个项目管理者。请回答：{{question}}", + "config": {} + }, + "promptId": "ab484b40f8f55cb6444d0f6fed4e9780e7e0a8c92602263a28cbb6852a36997a", + "promptIdx": 1, + "provider": { + "id": "openai:chat:deepseek-chat", + "label": "" + }, + "response": { + "output": "作为项目管理者，当CI/CD Pipeline失败时，你的首要任务不是亲自去修代码（那是开发团队的事），而是**快速评估影响、协调资源、消除阻塞，并防止类似问题再次发生**。\n\n以下是标准化的处理流程，分为**紧急响应**、**根因分析**、**修复与恢复**、**复盘与改进**四个阶段：\n\n### 第一阶段：紧急响应（前15分钟）\n\n**1. 确认失败范围与影响**\n- **查看失败阶段：** 是代码编译失败？单元测试失败？集成测试失败？还是部署到预发布/生产环境失败？\n- **判断影响面：** 是否阻塞了其他开发者的代码合并？是否影响了即将上线的版本？是否已经部署到了生产环境（导致线上故障）？\n- **通知相关方：** 在项目群/频道（如Slack、钉钉）中发布公告，格式建议：\n > `[Pipeline告警] 主分支Pipeline失败 @相关开发 @测试 @运维`\n > `失败阶段：单元测试`\n > `失败时间：10:30`\n > `初步影响：阻塞了3个PR的合并`\n > `负责人：张三（开发）`\n > `预计修复时间：待评估`\n\n**2. 决定是否回滚（仅限部署阶段失败）**\n- 如果失败发生在**生产环境部署**阶段，且已部分部署：**立即执行回滚**，恢复至上一个稳定版本。\n- 如果失败发生在**预发布/测试环境**：通常不需要回滚，但需标记该环境不可用。\n\n### 第二阶段：根因分析（15分钟 - 1小时）\n\n**3. 获取失败日志**\n- 要求开发负责人（或DevOps工程师）从CI/CD工具（Jenkins、GitLab CI、GitHub Actions等）中导出**完整的构建日志**。\n- 重点关注：错误堆栈、测试失败的具体用例、环境变量差异、依赖版本冲突。\n\n**4. 分类常见原因（快速定位）**\n- **代码问题（最常见）：** 语法错误、测试用例未通过、代码规范检查失败。\n - *行动：* 要求提交者立即检查最近一次提交的代码。\n- **环境/配置问题：** 环境变量缺失、数据库连接串错误、第三方服务密钥过期。\n - *行动：* 检查配置文件是否被意外修改，或环境变量是否在最近一次部署中被覆盖。\n- **依赖问题：** 某个依赖包版本更新导致不兼容、私有仓库无法访问。\n - *行动：* 检查`package-lock.json`、`requirements.txt`等锁文件是否被修改。\n- **基础设施问题：** 构建服务器磁盘满、网络超时、Docker镜像拉取失败。\n - *行动：* 联系运维检查CI Runner的健康状态。\n\n### 第三阶段：修复与恢复（1小时 - 4小时）\n\n**5. 制定修复策略**\n- **快速修复（Hotfix）：** 如果是代码问题，要求开发者在**新分支**上提交修复，并跳过不必要的测试阶段（需谨慎，需审批）以快速恢复Pipeline。\n- **回退提交：** 如果无法快速定位，建议**回退导致失败的提交**，让Pipeline先恢复绿色，再慢慢排查。\n- **临时跳过阶段：** 如果是非关键测试（如性能测试）失败，且不影响核心功能，可临时禁用该阶段，但需记录在案。\n\n**6. 重新触发Pipeline**\n- 修复后，由开发者重新提交代码或手动触发Pipeline。\n- **关键原则：** 修复后的Pipeline必须**完整运行所有阶段**（包括之前失败的阶段），不能只跑部分阶段。\n\n### 第四阶段：复盘与改进（事后）\n\n**7. 记录事故报告**\n- 在项目管理工具（Jira、Notion）中创建一个“Pipeline事故”任务，包含：\n - 失败时间、持续时间、影响范围\n - 根因（例如：`某开发者在提交中误删了环境变量配置`）\n - 修复措施\n - 责任人\n\n**8. 制定预防措施（作为项目经理的核心价值）**\n- **增加前置检查：** 在Pipeline中增加代码静态检查、安全扫描、依赖冲突检测。\n- **优化测试策略：** 如果测试经常失败，考虑将测试分层（单元测试、集成测试、端到端测试），并设置不同的失败容忍度。\n- **引入“门禁”机制：** 要求所有PR必须通过Pipeline才能合并，避免失败代码进入主分支。\n- **环境隔离：** 确保开发、测试、生产环境的配置完全分离，避免环境变量泄露。\n- **自动化通知：** 配置Pipeline失败时自动@相关开发者和项目经理。\n\n### 项目经理的“避坑”", + "tokenUsage": { + "total": 1042, + "prompt": 18, + "completion": 1024, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 125, + "finishReason": "length", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:37:26 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": 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"作为项目经理Bot，我来为你详细解答Gitea仓库的权限管理机制。Gitea的权限体系设计得比较清晰，主要分为**组织级**和**仓库级**两个层级，并且支持**团队**进行批量管理。\n\n以下是核心的管理方式：\n\n### 1. 核心权限层级\n\nGitea的权限从高到低分为四个层级：\n\n- **站点管理员**：拥有整个Gitea实例的最高权限，可以管理所有用户、组织和仓库。\n- **组织所有者**：拥有某个组织内的最高权限，可以管理该组织下的所有团队、仓库和成员。\n- **仓库管理员**：拥有某个特定仓库的完全控制权（包括设置、删除、添加协作者等）。\n- **普通协作者**：根据被赋予的角色（读、写、管理员）拥有对应权限。\n\n### 2. 组织级权限管理（推荐用于团队协作）\n\n如果你的项目属于一个团队或公司，强烈建议使用**组织（Organization）**来管理。这是最规范的方式。\n\n- **创建组织**：在Gitea界面右上角“+”号 -> “新建组织”。\n- **创建团队（Team）**：在组织设置中创建团队。团队是权限管理的核心单元。\n - **团队类型**：Gitea预定义了四种团队类型，决定了团队对组织内**所有仓库**的默认权限：\n - **所有者团队**：拥有组织内所有仓库的完全控制权。\n - **大型团队**：对所有仓库拥有**写**权限。\n - **小型团队**：对所有仓库拥有**读**权限。\n - **只读团队**：对所有仓库拥有**读**权限（与小型团队类似，但更明确）。\n- **分配成员**：将用户添加到团队中。\n- **关联仓库**：将组织下的仓库分配给团队。一个仓库可以分配给多个团队，权限取**最高值**。\n\n**示例：**\n> 假设你有一个“产品研发”组织，下分“前端开发”、“后端开发”、“测试”三个团队。\n> 1. 创建“前端开发”团队，类型选“小型团队”（默认读权限）。\n> 2. 将“前端仓库”分配给该团队，并**单独设置该仓库的权限为“写”**（覆盖团队默认权限）。\n> 3. 创建“测试”团队，类型选“只读团队”。\n> 4. 将“前端仓库”和“后端仓库”都分配给测试团队。\n> 5. 这样，前端开发人员可以写前端仓库，测试人员只能读所有仓库。\n\n### 3. 仓库级权限管理（适用于个人或小项目）\n\n对于个人仓库或不需要复杂组织结构的项目，可以直接在仓库设置中管理。\n\n- **进入仓库** -> **设置** -> **管理访问权限**。\n- **添加协作者**：输入用户名，并选择权限角色：\n - **读**：可以克隆、查看代码、创建Issue、评论。**不能**推送代码。\n - **写**：可以推送代码、管理Issue、合并Pull Request。**不能**修改仓库设置或删除仓库。\n - **管理员**：拥有仓库的完全控制权，包括修改设置、添加/删除协作者、删除仓库等。\n\n### 4. 特殊权限与分支保护\n\n这是保证代码质量的关键，与权限管理紧密相关。\n\n- **分支保护规则**：在仓库 **设置 -> 分支** 中设置。\n - **启用保护**：针对特定分支（如 `main`、`master`、`release`）。\n - **允许推送的用户/团队**：可以指定只有特定用户或团队才能直接推送到该分支。\n - **要求Pull Request**：禁止直接推送，所有修改必须通过Pull Request。\n - **要求审查**：合并PR前需要指定数量的审查者批准。\n - **要求通过状态检查**：合并PR前必须通过CI/CD流水线。\n\n**项目经理视角的建议：**\n\n1. **优先使用组织+团队模式**：这是最可扩展、最清晰的管理方式。当项目规模扩大时，你只需调整团队和仓库的关联，无需逐个修改用户权限。\n2. **最小权限原则**：只给成员完成工作所需的最小权限。例如，测试人员给“读”权限，开发人员给“写”权限，只有核心维护者给“管理员”权限。\n3. **利用分支保护**：这是防止误操作、保证主干分支（如 `main`）稳定性的核心手段。强制要求Pull Request和代码审查。\n4. **定期审计**：作为项目经理，建议定期检查组织内的团队和仓库权限，移除不再需要的成员或权限。\n\n希望这个回答能帮助你清晰地管理Gitea仓库的权限。", + "tokenUsage": { + "total": 1043, + "prompt": 19, + "completion": 1024, + "numRequests": 1 + }, + "cached": 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拥有仓库的全部权限，包括设置、删除仓库、添加协作者。 | 技术负责人、模块负责人。 |\n| **4** | **所有者（Owner）** | 组织级别的最高权限，可以管理组织设置、所有团队和仓库。 | 项目总监、CTO、组织创建者。 |\n\n### 3. 具体管理操作步骤\n\n#### 场景一：管理单个仓库的权限（适合小团队或独立项目）\n\n1. 进入目标仓库。\n2. 点击顶部导航栏的 **“设置”**。\n3. 在左侧菜单选择 **“协作者”**。\n4. **添加用户**：输入用户名，选择权限级别（只读/写入/管理），点击“添加协作者”。\n5. **管理团队**：如果该仓库属于某个组织，你可以在这里将仓库授权给特定的团队。\n\n#### 场景二：通过组织进行大规模权限管理（推荐，适合中大型项目）\n\n这是最推荐的方式，可以避免为每个仓库单独设置权限。\n\n**第一步：创建组织**\n- 在 Gitea 首页，点击右上角的“+”号，选择“新建组织”。\n- 输入组织名称（如 `my-project`）。\n\n**第二步：创建团队并分配权限**\n- 进入组织页面，点击 **“团队”**。\n- 点击 **“新建团队”**。\n- **团队名称**：例如 `developers`。\n- **权限**：选择该团队对所有**新仓库**的默认权限（例如“写入”）。\n- **访问模式**：选择“指定仓库”或“所有仓库”。\n- **添加成员**：将开发人员加入该团队。\n\n**第三步：将仓库分配给团队**\n- 在组织内创建新仓库时，系统会自动应用团队的默认权限。\n- 对于已有仓库，进入仓库的“设置” -> “协作者”，在“团队”部分添加该团队。\n\n#### 场景三：细粒度权限控制（高级）\n\n- **分支保护**：在仓库的“设置” -> “分支”中，可以设置受保护分支（如 `main`、`release`）。\n - **谁可以推送**：可以设置为“仅允许管理员”、“允许写入者”或“不允许任何人”。\n - **要求 Pull Request 审查**：强制要求代码审查。\n - **要求状态检查通过**：CI/CD 流水线必须通过。\n- **仓库镜像**：可以设置只读或读写镜像，权限独立于主仓库。\n- **Webhook**：通过 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**依赖关系**：这个任务是否阻塞其他关键任务或团队？是否依赖他人完成？\n4. **影响范围**：如果不做或推迟，会对项目进度、成本、质量或客户满意度产生多大影响？\n5. **资源可用性**：当前是否有足够的人力、技术或资金支持？\n\n**通用优先级参考框架（供你对照）：**\n\n- **P0（最高优先级/立即执行）**： \n 任务涉及系统崩溃、安全漏洞、客户核心功能阻断、法律合规风险。延迟会导致项目失败或重大损失。\n\n- **P1（高优先级/尽快执行）**： \n 任务影响关键里程碑、重要客户交付、或阻塞其他高优任务。延迟会显著影响项目进度或质量。\n\n- **P2（中优先级/按计划执行）**： \n 任务属于常规功能开发、内部优化、非紧急需求。可以安排在迭代或下一阶段完成。\n\n- **P3（低优先级/视情况执行）**： \n 任务属于“锦上添花”的改进、长期愿景、或低影响需求。可在资源空闲时处理，或推迟至后续版本。\n\n**建议你：** \n请提供任务的具体描述（如：修复线上支付失败问题、开发新报表功能、更新项目文档等），我可以结合项目管理最佳实践，帮你给出更精准的优先级判断。", + "tokenUsage": { + "total": 413, + "prompt": 19, + "completion": 394, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 122, + "finishReason": "stop", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:37:47 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": 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Bot通常指代一个用于自动化任务、消息传递或工作流管理的机器人框架（具体实现可能因组织而异）。以下是一个通用的、结构化的创建流程，假设您使用的是类似企业级机器人平台（如Slack Bot、Discord Bot或自定义框架）。\n\n---\n\n### **创建新的Hermes Bot 步骤指南**\n\n#### **1. 明确需求与范围**\n- **目标定义**：确定Bot的核心功能（例如：自动回复常见问题、执行定时任务、集成API数据、监控系统状态等）。\n- **用户群体**：谁将使用这个Bot？（内部团队、客户、还是公开用户？）\n- **权限与安全**：是否需要身份验证？数据访问级别如何？\n\n#### **2. 选择平台与工具**\n- **平台**：根据使用场景选择（Slack、Microsoft Teams、Discord、Telegram、或自建Webhook）。\n- **开发框架**：推荐使用成熟框架（如Bot Framework SDK、Rasa、或自定义Node.js/Python脚本）。\n- **基础设施**：决定部署位置（云服务器、容器化、或无服务器函数如AWS Lambda）。\n\n#### **3. 注册与配置Bot**\n- **创建Bot应用**：在目标平台开发者后台注册新Bot（例如Slack API、Discord Developer Portal）。\n- **获取凭证**：记录Bot Token、Client ID、Secret等关键信息。\n- **设置权限**：配置Bot需要的权限范围（如读取消息、发送消息、上传文件等）。\n\n#### **4. 开发核心逻辑**\n- **事件监听**：编写代码监听特定事件（如消息、命令、定时触发器）。\n- **命令处理**：定义命令（如`/help`、`/status`）并绑定处理函数。\n- **集成外部服务**：通过API连接数据库、CRM、监控工具等。\n- **错误处理**：添加日志记录和异常捕获机制。\n\n#### **5. 测试与调试**\n- **本地测试**：使用ngrok或类似工具暴露本地服务进行实时测试。\n- **单元测试**：对核心函数编写测试用例。\n- **用户验收测试**：邀请少量用户试用，收集反馈。\n\n#### **6. 部署与监控**\n- **部署**：将代码部署到生产环境（如Docker容器、云服务器）。\n- **持续运行**：确保Bot 24/7在线（使用进程管理器如PM2或Kubernetes）。\n- **监控**：设置日志聚合（如ELK Stack）和告警（如PagerDuty）。\n\n#### **7. 文档与维护**\n- **用户文档**：编写使用说明（命令列表、常见问题）。\n- **开发者文档**：记录架构、API依赖、环境变量。\n- **迭代计划**：根据反馈定期更新功能。\n\n---\n\n### **示例：快速创建一个Slack Hermes Bot（Python）**\n```python\n# 使用 slack-bolt 库\nfrom slack_bolt import App\nfrom slack_bolt.adapter.socket_mode import SocketModeHandler\n\napp = App(token=\"xoxb-your-bot-token\")\n\n@app.message(\"hello\")\ndef say_hello(message, say):\n say(f\"Hello <@{message['user']}>!\")\n\nif __name__ == \"__main__\":\n handler = SocketModeHandler(app, \"xapp-your-app-token\")\n handler.start()\n```\n\n---\n\n### **关键注意事项**\n- **安全性**：永远不要硬编码Token，使用环境变量或密钥管理服务。\n- **性能**：避免同步阻塞操作，使用异步编程（如asyncio）。\n- **合规性**：确保Bot遵守数据隐私法规（如GDPR）。\n\n如果您需要针对特定平台或更复杂场景的详细指导，请提供更多上下文（例如：使用的平台、预期功能、团队技术栈），我可以为您定制方案。", + "tokenUsage": { + "total": 838, + "prompt": 18, + "completion": 820, + "numRequests": 1 + }, + "cached": false, + 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138, + "namedScores": {}, + "prompt": { + "raw": "你是一个项目管理者。请回答：如何创建新的Hermes Bot？", + "label": "你是一个项目管理者。请回答：{{question}}", + "config": {} + }, + "promptId": "ab484b40f8f55cb6444d0f6fed4e9780e7e0a8c92602263a28cbb6852a36997a", + "promptIdx": 1, + "provider": { + "id": "openai:chat:deepseek-chat", + "label": "" + }, + "response": { + "output": "作为项目管理者，创建新的 **Hermes Bot**（假设这是一个内部自动化工具或聊天机器人项目，例如用于通知、任务调度或API交互的机器人）需要遵循标准的项目管理流程，并结合技术实现细节。以下是分步骤的指导：\n\n---\n\n### **1. 明确需求与目标**\n- **核心功能**：定义Bot的用途（如：自动回复、数据查询、任务触发、监控告警等）。\n- **用户场景**：谁将使用它？（如：开发团队、运维、业务部门）。\n- **输入/输出**：Bot接收什么指令（如Slack命令、HTTP请求）？返回什么结果（文本、文件、API响应）？\n- **非功能需求**：响应时间、并发量、安全性（认证、权限）、日志记录。\n\n---\n\n### **2. 技术选型与架构设计**\n- **框架选择**： \n - 若基于Slack：使用 **Bolt for Python/JS** 或 **Slack SDK**。 \n - 若基于Telegram：使用 **python-telegram-bot** 或 **Telegraf**。 \n - 若自定义API：使用 **FastAPI/Flask** + Webhook。 \n- **部署方式**： \n - 云服务（AWS Lambda + API Gateway / Azure Functions）实现无服务器。 \n - 容器化（Docker + Kubernetes）用于高可用。 \n- **数据存储**： \n - 轻量：SQLite / Redis（缓存）。 \n - 持久化：PostgreSQL / MongoDB（用户状态、日志）。 \n\n---\n\n### **3. 项目计划与里程碑**\n| 阶段 | 任务 | 交付物 | 时间估算 |\n|------|------|--------|----------|\n| **设计** | 编写PRD、绘制架构图、定义API接口 | 需求文档、架构设计图 | 2-3天 |\n| **开发** | 实现核心逻辑、集成外部服务（如数据库、第三方API） | 可运行的Bot原型 | 5-7天 |\n| **测试** | 单元测试、集成测试、压力测试 | 测试报告、Bug修复 | 2-3天 |\n| **部署** | CI/CD流水线配置、环境部署（Dev/Staging/Prod） | 部署脚本、监控面板 | 1-2天 |\n| **上线** | 灰度发布、用户培训、文档编写 | 用户手册、运维指南 | 1天 |\n\n---\n\n### **4. 开发与协作**\n- **代码仓库**：GitHub/GitLab，分支策略（Git Flow或Trunk-based）。 \n- **任务管理**：Jira/Trello，拆分用户故事（如：“作为用户，我可以通过`/help`命令查看所有可用指令”）。 \n- **关键代码示例**（以Slack Bolt为例）： \n ```python\n from slack_bolt import App\n app = App(token=\"xoxb-your-token\")\n\n @app.command(\"/hello\")\n def hello_command(ack, respond, command):\n ack()\n respond(f\"Hello, <@{command['user_id']}>!\")\n\n if __name__ == \"__main__\":\n app.start(port=3000)\n ```\n\n---\n\n### **5. 测试与质量保障**\n- **单元测试**：使用 `pytest` 测试每个命令处理函数。 \n- **集成测试**：模拟Slack/Telegram的Webhook请求。 \n- **端到端测试**：在Staging环境用真实账号发送指令。 \n- **性能测试**：使用 `locust` 模拟100并发用户，确保响应时间<2秒。 \n\n---\n\n### **6. 部署与运维**\n- **CI/CD**： \n - GitHub Actions：代码推送后自动运行测试 → 构建Docker镜像 → 部署到K8s。 \n- **监控**： \n - 日志：ELK Stack（Elasticsearch + Logstash + Kibana）。 \n - 指标：Prometheus + Grafana（记录请求量、错误率、延迟）。 \n- **告警**：当错误率>5%或响应时间>5秒时，发送通知到团队Slack频道。 \n\n---\n\n### **7. 文档与培训**\n- **用户文档**：列出所有命令、参数、示例（如：`/weather Beijing` 返回天气）。 \n- **开发者文档**：如何本地运行、环境变量配置、API接口说明。 \n- **培训**：录制5分钟演示视频，或组织一次团队分享会。 \n\n---\n\n### **8. 迭代与优化**\n- **收集反馈**：在Bot中添加 `/feedback` 命令，收集用户建议。 \n- **版本迭代**：每2周发布一个小版本（如：", + "tokenUsage": { + "total": 1042, + "prompt": 19, + "completion": 1023, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 138, + "finishReason": "length", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 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"label": "" + }, + "response": { + "output": "作为项目经理Bot，很高兴为您解答Docker容器部署的注意事项。以下是关键要点，涵盖从规划到运维的全流程：\n\n### 1. **镜像构建与优化**\n - **最小化镜像**：使用轻量级基础镜像（如Alpine），减少攻击面与存储成本。\n - **多阶段构建**：分离编译环境与运行环境，避免将构建工具带入生产镜像。\n - **版本锁定**：明确指定基础镜像标签（如`python:3.11-slim`），避免使用`latest`导致意外更新。\n\n### 2. **配置管理**\n - **环境变量**：通过`-e`或`.env`文件注入配置，避免硬编码敏感信息（如数据库密码）。\n - **配置中心**：对复杂配置（如多环境差异）使用Consul、Kubernetes ConfigMap等外部工具管理。\n - **密钥管理**：使用Docker Secrets或云服务（如AWS Secrets Manager）处理证书、API密钥。\n\n### 3. **数据持久化**\n - **卷挂载**：数据库、日志等需持久化的数据使用`docker volume`或绑定挂载（`-v`），避免容器删除后数据丢失。\n - **存储驱动**：根据文件系统选择合适驱动（如overlay2），避免性能瓶颈。\n - **备份策略**：定期备份卷数据，并测试恢复流程。\n\n### 4. **网络与安全**\n - **网络隔离**：使用自定义网络（`docker network create`）隔离不同服务，避免默认桥接网络暴露端口。\n - **最小权限**：容器内以非root用户运行（`USER`指令），并限制`--cap-drop`移除不必要的Linux能力。\n - **镜像扫描**：集成Trivy、Clair等工具扫描镜像漏洞，阻止高危镜像部署。\n\n### 5. **资源限制**\n - **CPU/内存限制**：通过`--cpus`、`--memory`防止单个容器耗尽宿主机资源。\n - **重启策略**：设置`--restart=always`或`on-failure`，确保容器崩溃后自动恢复。\n - **日志管理**：限制日志大小（`--log-opt max-size=10m`），避免磁盘爆满。\n\n### 6. **编排与监控**\n - **容器编排**：生产环境推荐使用Kubernetes或Docker Swarm管理多容器、多节点部署。\n - **健康检查**：定义`HEALTHCHECK`指令，让编排工具自动替换异常容器。\n - **监控告警**：集成Prometheus+Grafana监控容器指标（CPU、内存、网络），设置阈值告警。\n\n### 7. **CI/CD集成**\n - **自动化构建**：在CI流水线中构建镜像并推送至私有仓库（如Harbor），避免手动操作。\n - **蓝绿部署**：通过标签切换（`v1.0`→`v2.0`）实现零停机更新。\n - **回滚机制**：保留历史镜像版本，支持快速回退。\n\n### 8. **合规与审计**\n - **镜像签名**：使用Docker Content Trust（DCT）确保镜像未被篡改。\n - **日志审计**：将容器日志集中到ELK或Splunk，满足合规要求。\n - **安全基线**：遵循CIS Docker Benchmark检查配置（如禁用特权模式）。\n\n### 常见陷阱提醒\n- ❌ **忽略时区**：容器默认UTC，需挂载`/etc/localtime`或设置`TZ`环境变量。\n- ❌ **硬编码IP**：使用服务名（如`db:3306`）而非IP，依赖Docker DNS解析。\n- ❌ **单点故障**：关键服务至少部署2个副本，并配置负载均衡。\n\n**总结**：Docker部署需平衡敏捷性与安全性，建议从最小化镜像、资源限制、网络隔离入手，逐步完善监控与自动化。如有具体场景（如微服务、数据库集群），可进一步细化方案。", + "tokenUsage": { + "total": 892, + "prompt": 18, + "completion": 874, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 129, + "finishReason": "stop", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:01 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "15294492995107305723", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "cc7a489622e6b81d684c1c95987da4c5" + } + } + } + }, + "score": 1, + "success": true, + "testCase": { + "vars": { + "question": "Docker容器部署需要注意什么？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "镜像", + "安全", + "网络", + "卷", + "资源" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ], + "options": {}, + "metadata": {} + }, + "testIdx": 6, + "tokenUsage": { + "prompt": 18, + "completion": 874, + "cached": 0, + "total": 892, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + }, + "assertions": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + } + } + }, + "vars": { + "question": "Docker容器部署需要注意什么？" + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:01 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "15294492995107305723", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, 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+ }, + "promptId": "ab484b40f8f55cb6444d0f6fed4e9780e7e0a8c92602263a28cbb6852a36997a", + "promptIdx": 1, + "provider": { + "id": "openai:chat:deepseek-chat", + "label": "" + }, + "response": { + "output": "作为项目管理者，在规划 Docker 容器部署时，不能只关注技术细节，更需要从**稳定性、安全性、成本、运维效率**以及**团队协作**这几个维度进行把控。\n\n以下是你在项目启动和部署阶段需要重点关注的几个方面：\n\n### 1. 镜像构建与版本管理（核心资产）\n- **基础镜像选择**：务必使用官方、轻量级（如 Alpine）且经过安全扫描的基础镜像。避免使用 `latest` 标签，应指定具体版本号（如 `node:18-alpine`）。\n- **镜像分层优化**：指导开发团队将不常变化的依赖安装（如 `apt-get install`、`pip install`）放在 Dockerfile 的前几层，将频繁修改的应用代码放在最后。这能显著减少构建时间和网络传输量。\n- **版本标签策略**：建立统一的标签规范。例如：\n - `v1.2.3` （语义化版本）\n - `main-abc1234` （分支名+Git Commit SHA）\n - **禁止**使用 `latest` 作为生产环境的唯一标识，否则回滚时无法确定具体版本。\n\n### 2. 配置与敏感信息管理（安全底线）\n- **环境变量 vs 配置文件**：推荐使用环境变量注入配置，而不是将配置文件打包进镜像。对于不同环境（开发、测试、生产），通过不同的 `.env` 文件或容器编排工具（如 Docker Compose、Kubernetes）的 ConfigMap 来管理。\n- **密钥管理**：**绝对不要**在 Dockerfile 或镜像中硬编码密码、API Key、数据库连接串。必须使用：\n - Docker Secrets （Swarm 模式）\n - 外部密钥管理服务（如 HashiCorp Vault、AWS Secrets Manager）\n - 或容器编排平台的 Secrets 功能。\n\n### 3. 资源限制与监控（稳定性保障）\n- **设置资源配额**：在 `docker run` 或编排文件中，必须设置 `--memory` 和 `--cpus` 限制。防止某个容器因内存泄漏或流量突增而耗尽宿主机资源，导致其他服务崩溃。\n- **日志管理**：容器默认将日志输出到 stdout/stderr。需要配置日志驱动（如 `json-file` 并设置 `max-size` 和 `max-file`），或统一收集到 ELK/Loki 等日志中心。**注意**：如果不限制日志大小，磁盘很快会被写满。\n- **健康检查**：为每个服务定义 `HEALTHCHECK` 指令。编排工具（如 Kubernetes）会根据健康检查结果自动重启或摘除不健康的容器。\n\n### 4. 网络与数据持久化（架构设计）\n- **网络模式**：根据安全需求选择网络模式。\n - **桥接网络**：默认，适合单机多容器通信。\n - **主机网络**：性能高但隔离性差，需谨慎使用。\n - **Overlay 网络**：跨主机通信（Swarm/K8s）。\n - **无网络**：用于离线计算任务。\n- **数据持久化**：容器是无状态的，任何写入容器可写层的数据在容器重启后都会丢失。\n - **有状态服务**（数据库、消息队列）：必须使用 **Volume**（推荐）或 **Bind Mount**。\n - **无状态服务**（Web 应用）：尽量不依赖本地磁盘，如需缓存，使用 Redis 等外部服务。\n\n### 5. 部署策略与回滚（运维流程）\n- **零停机部署**：避免直接停止旧容器再启动新容器。应使用：\n - **滚动更新**：逐个替换容器实例。\n - **蓝绿部署**：同时运行两套环境，切换流量。\n - **金丝雀发布**：先让少量用户使用新版本。\n- **回滚方案**：确保你的 CI/CD 流程支持快速回滚到上一个已知健康的镜像版本。保留最近 N 个版本的镜像，并记录每次部署的变更日志。\n\n### 6. 安全扫描与合规（风险管理）\n- **镜像漏洞扫描**：在 CI 流程中集成 Trivy、Clair 或 Snyk 等工具，扫描基础镜像和依赖库的已知漏洞（CVE）。**高危漏洞应阻断构建流程**。\n- **最小权限原则**：\n - 容器内不要以 `root` 用户运行。在 Dockerfile 中创建专用用户（`USER appuser`）。\n - 宿主机上，限制容器对系统调用的访问（使用 `--security-opt no-new-privileges` 等参数）。\n- **镜像签名**：对生产环境的镜像进行数字签名", + "tokenUsage": { + "total": 1043, + "prompt": 19, + "completion": 1024, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 127, + "finishReason": "length", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:06 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "16267939154175136845", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + 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"assertion": { + "type": "contains-any", + "value": [ + "YAML", + "流水线", + "步骤", + "Woodpecker", + "配置" + ] + } + }, + { + "pass": true, + "score": 1, + "reason": "Assertion passed", + "assertion": { + "type": "latency", + "threshold": 15000 + } + } + ] + }, + "id": "31cdc47d-a8e3-47c7-b094-8b77bf9d7991", + "latencyMs": 135, + "namedScores": {}, + "prompt": { + "raw": "请以项目经理Bot的身份回答：Woodpecker CI流水线如何配置？", + "label": "请以项目经理Bot的身份回答：{{question}}", + "config": {} + }, + "promptId": "d14cab9d0ede3929dd393470d365868ab01527aa72276eb43ca3ab2fc48a6766", + "promptIdx": 0, + "provider": { + "id": "openai:chat:deepseek-chat", + "label": "" + }, + "response": { + "output": "好的，我是项目经理Bot。针对Woodpecker CI的流水线配置，我将从核心概念、基础配置示例、关键配置项说明以及常见优化建议四个方面为你进行专业解答。\n\n### 1. 核心概念\nWoodpecker CI 使用 **YAML** 文件（通常命名为 `.woodpecker.yml` 或 `.drone.yml`，兼容Drone CI语法）定义流水线。其核心结构包括：\n- **Pipeline（流水线）**：一个或多个步骤（Step）的集合，按顺序或并行执行。\n- **Step（步骤）**：单个任务，通常运行一个容器（Docker镜像）并执行命令。\n- **Service（服务）**：为流水线提供依赖服务（如数据库、缓存），与步骤并行运行。\n- **Volumes（卷）**：用于在步骤之间或与宿主机共享数据。\n- **Clone（克隆）**：默认自动克隆代码仓库，可自定义。\n\n### 2. 基础配置示例\n以下是一个典型的Go语言项目流水线配置，包含代码检查、测试和构建步骤：\n\n```yaml\n# .woodpecker.yml\npipeline:\n # 第一步：代码检查\n lint:\n image: golang:1.21\n commands:\n - go fmt ./...\n - go vet ./...\n\n # 第二步：运行单元测试\n test:\n image: golang:1.21\n commands:\n - go test -v -race -coverprofile=coverage.out ./...\n # 依赖服务：MySQL\n services:\n - name: mysql\n image: mysql:8.0\n environment:\n - MYSQL_ROOT_PASSWORD=test\n - MYSQL_DATABASE=testdb\n\n # 第三步：构建二进制文件\n build:\n image: golang:1.21\n commands:\n - CGO_ENABLED=0 go build -o myapp .\n # 将构建产物保存到卷，供后续步骤使用\n volumes:\n - /tmp/artifacts:/artifacts\n when:\n branch: main # 仅在main分支触发\n\n # 第四步：部署（示例：SSH部署）\n deploy:\n image: alpine:3.18\n commands:\n - apk add --no-cache openssh-client\n - scp -o StrictHostKeyChecking=no /artifacts/myapp user@server:/path/to/deploy\n secrets: [ssh_key] # 使用密钥\n when:\n branch: main\n status: success # 仅当所有前置步骤成功时执行\n```\n\n### 3. 关键配置项说明\n\n| 配置项 | 说明 | 示例 |\n|--------|------|------|\n| `image` | 步骤运行的Docker镜像 | `golang:1.21` |\n| `commands` | 在容器内执行的命令列表 | `- go build` |\n| `environment` | 环境变量（支持从仓库设置或密钥注入） | `- MY_VAR=value` |\n| `secrets` | 从仓库设置中引用的敏感变量 | `[docker_password]` |\n| `services` | 并行运行的依赖服务（如数据库、Redis） | `name: redis; image: redis:7` |\n| `volumes` | 挂载卷（共享数据或持久化） | `- /host/path:/container/path` |\n| `when` | 条件触发（分支、事件、状态等） | `branch: main; event: push` |\n| `group` | 将步骤分组，组内步骤并行执行 | `group: build` |\n| `depends_on` | 显式指定依赖步骤（默认按顺序） | `depends_on: [lint, test]` |\n\n### 4. 常见优化与最佳实践\n\n1. **使用缓存加速构建** \n 通过卷挂载缓存目录（如Go的`/go/pkg/mod`、npm的`/root/.npm`）：\n ```yaml\n volumes:\n - /tmp/go-cache:/go/pkg/mod\n ```\n\n2. **矩阵构建（多版本/多平台）** \n 使用`matrix`关键字并行测试不同环境：\n ```yaml\n matrix:\n GO_VERSION: [1.20, 1.21]\n pipeline:\n test:\n image: golang:${GO_VERSION}\n commands:\n - go test ./...\n ```\n\n3. **安全处理密钥** \n 在仓库设置中添加密钥（如`SSH_KEY`），然后在步骤中引用：\n ```yaml\n steps:\n deploy:\n secrets: [ssh_key]\n commands:\n - echo \"$SSH_KEY\"", + "tokenUsage": { + "total": 1044, + "prompt": 20, + "completion": 1024, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 135, + "finishReason": "length", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:12 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "16067830900054545942", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "dcec856e4c3d49a73d63da47dc0f47a3" + } + } + } + }, + "score": 1, + "success": true, + "testCase": { + "vars": { + "question": "Woodpecker CI流水线如何配置？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "YAML", + "流水线", + "步骤", + "Woodpecker", + "配置" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ], + "options": {}, + "metadata": {} + }, + "testIdx": 7, + "tokenUsage": { + "prompt": 20, + "completion": 1024, + "cached": 0, + "total": 1044, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + }, + "assertions": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + } + } + }, + "vars": { + "question": "Woodpecker CI流水线如何配置？" + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:12 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "16067830900054545942", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "dcec856e4c3d49a73d63da47dc0f47a3" + } + }, + "_promptfooFileMetadata": {} + }, + "failureReason": 0 + }, + { + "cost": 0, + "gradingResult": { + "pass": true, + "score": 1, + "reason": "All assertions passed", + "namedScores": {}, + "tokensUsed": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 0 + }, + "componentResults": [ + { + "pass": true, + "score": 1, + "reason": "Assertion passed", + "assertion": { + "type": "contains-any", + "value": [ + "YAML", + "流水线", + "步骤", + "Woodpecker", + "配置" + ] + } + }, + { + "pass": true, + "score": 1, + "reason": "Assertion passed", + "assertion": { + "type": "latency", + "threshold": 15000 + } + } + ] + }, + "id": "e433afa9-5857-4e91-b846-0f513f617cbb", + "latencyMs": 165, + "namedScores": {}, + "prompt": { + "raw": "你是一个项目管理者。请回答：Woodpecker CI流水线如何配置？", + "label": "你是一个项目管理者。请回答：{{question}}", + "config": {} + }, + "promptId": "ab484b40f8f55cb6444d0f6fed4e9780e7e0a8c92602263a28cbb6852a36997a", + "promptIdx": 1, + "provider": { + "id": "openai:chat:deepseek-chat", + "label": "" + }, + "response": { + "output": "作为项目管理者，理解Woodpecker CI的配置逻辑有助于评估其与团队技术栈的匹配度、维护成本以及可扩展性。以下是针对Woodpecker CI流水线配置的详细说明，我会从**核心概念**、**配置结构**、**关键字段**和**最佳实践**四个维度展开。\n\n### 1. 核心概念（管理者视角）\n- **基于YAML**：流水线定义在代码仓库根目录的 `.woodpecker.yml` 文件中。\n- **Pipeline（流水线）**：一个完整的CI/CD流程，由多个步骤（Step）组成。\n- **Step（步骤）**：流水线中的最小执行单元，通常是一个Docker容器。\n- **Service（服务）**：为步骤提供依赖（如数据库、缓存），与步骤并行运行。\n- **Pipeline类型**：支持**顺序执行**（默认）、**并行执行**（通过 `depends_on` 控制）和**矩阵构建**（通过 `matrix` 关键字）。\n\n### 2. 基础配置结构（示例与解释）\n\n```yaml\n# .woodpecker.yml\n\n# 1. 触发条件（可选，默认所有分支push/tag触发）\nwhen:\n branch: [main, develop]\n event: [push, pull_request]\n\n# 2. 流水线定义（核心）\npipeline:\n # 步骤1：代码检查（顺序执行）\n lint:\n image: node:18-alpine\n commands:\n - npm ci\n - npm run lint\n\n # 步骤2：单元测试（依赖lint步骤完成）\n test:\n image: node:18-alpine\n commands:\n - npm ci\n - npm run test\n # 依赖服务（例如数据库）\n services:\n - name: postgres\n image: postgres:15\n environment:\n POSTGRES_USER: test\n POSTGRES_PASSWORD: test\n POSTGRES_DB: test\n\n # 步骤3：构建并推送Docker镜像（并行示例）\n build-and-push:\n image: plugins/docker\n settings:\n repo: myregistry.com/myapp\n tags: ${CI_COMMIT_TAG:-latest}\n # 仅在打标签时执行\n when:\n event: tag\n\n # 步骤4：部署（依赖build步骤）\n deploy:\n image: alpine:3.18\n commands:\n - echo \"Deploying to production...\"\n # 仅在main分支且push事件时执行\n when:\n branch: main\n event: push\n```\n\n### 3. 关键配置字段详解\n\n| 字段 | 说明 | 管理者关注点 |\n| :--- | :--- | :--- |\n| `image` | 步骤运行的Docker镜像。**必须指定**。 | 镜像版本锁定（如 `node:18-alpine`）可避免环境漂移。 |\n| `commands` | 在容器内执行的Shell命令列表。 | 命令应幂等，避免依赖外部状态。 |\n| `environment` | 环境变量（支持从CI Secrets注入）。 | 敏感信息（如API密钥）必须通过Woodpecker的**Secrets管理**注入，而非硬编码。 |\n| `when` | 条件执行（分支、事件、路径、状态等）。 | 精细控制可减少无效构建，节省资源。 |\n| `services` | 为步骤提供依赖服务（如MySQL、Redis）。 | 服务生命周期由Woodpecker管理，步骤结束后自动销毁。 |\n| `volumes` | 挂载卷（共享数据或缓存）。 | 用于缓存依赖（如 `node_modules`），加速后续构建。 |\n| `depends_on` | 显式声明步骤依赖（默认按顺序）。 | 用于实现并行执行（如测试与构建并行）。 |\n| `matrix` | 矩阵构建（多版本、多环境）。 | 适合多平台/多语言版本测试，但会增加构建时间。 |\n\n### 4. 高级配置与最佳实践（管理者决策点）\n\n#### 4.1 缓存加速\n```yaml\npipeline:\n install:\n image: node:18-alpine\n commands:\n - npm ci\n # 挂载缓存卷（需Woodpecker Agent支持）\n volumes:\n - /cache/node_modules:/app/node_modules\n```\n- **决策**：是否启用缓存？缓存可显著加速，但需注意缓存失效策略（如 `package-lock.json` 变化时清空）。\n\n#### 4.2 多流水线（Monorepo支持）\nWoodpecker支持通过 `path` 条件触发不同流水线：\n```yaml\nwhen:\n path: [frontend/**]\n```\n- **", + "tokenUsage": { + "total": 1045, + "prompt": 21, + "completion": 1024, + "numRequests": 1 + }, + "cached": false, + "latencyMs": 165, + "finishReason": "length", + "guardrails": { + "flagged": false + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:19 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "17162019965168786995", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "9b763ca4fa2c5e3ccbde0ae92faff68c" + } + } + } + }, + "score": 1, + "success": true, + "testCase": { + "vars": { + "question": "Woodpecker CI流水线如何配置？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "YAML", + "流水线", + "步骤", + "Woodpecker", + "配置" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ], + "options": {}, + "metadata": {} + }, + "testIdx": 7, + "tokenUsage": { + "prompt": 21, + "completion": 1024, + "cached": 0, + "total": 1045, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + }, + "assertions": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 1, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + } + } + }, + "vars": { + "question": "Woodpecker CI流水线如何配置？" + }, + "metadata": { + "http": { + "status": 200, + "statusText": "OK", + "headers": { + "access-control-allow-credentials": "true", + "connection": "keep-alive", + "content-type": "application/json", + "date": "Thu, 09 Jul 2026 12:38:19 GMT", + "eo-cache-status": "MISS", + "eo-log-uuid": "17162019965168786995", + "server": "openresty", + "strict-transport-security": "max-age=31536000; includeSubDomains; preload", + "transfer-encoding": "chunked", + "vary": "origin, access-control-request-method, access-control-request-headers", + "x-content-type-options": "nosniff", + "x-ds-trace-id": "9b763ca4fa2c5e3ccbde0ae92faff68c" + } + }, + "_promptfooFileMetadata": {} + }, + "failureReason": 0 + } + ], + "stats": { + "successes": 16, + "failures": 0, + "errors": 0, + "tokenUsage": { + "prompt": 290, + "completion": 13138, + "cached": 0, + "total": 13428, + "numRequests": 16, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + }, + "assertions": { + "total": 0, + "prompt": 0, + "completion": 0, + "cached": 0, + "numRequests": 0, + "completionDetails": { + "reasoning": 0, + "acceptedPrediction": 0, + "rejectedPrediction": 0, + "cacheReadInputTokens": 0, + "cacheCreationInputTokens": 0 + } + } + }, + "durationMs": 86290, + "evaluationDurationMs": 86290 + } + }, + "config": { + "description": "Hermes CI Eval Baseline v1 — 带断言评测", + "prompts": [ + "请以项目经理Bot的身份回答：{{question}}", + "你是一个项目管理者。请回答：{{question}}" + ], + "providers": [ + { + "id": "openai:chat:deepseek-chat", + "config": { + "apiBaseUrl": "https://api.deepseek.com/v1", + "apiKeyEnvar": "[REDACTED]" + } + } + ], + "tests": [ + { + "vars": { + "question": "项目进度怎么看？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "甘特图", + "任务", + "进度", + "计划", + "完成率" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "代码审查的标准是什么？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "功能", + "可读性", + "安全性", + "测试", + "规范" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "CI/CD pipeline失败了怎么办？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "日志", + "失败", + "排查", + "恢复", + "回滚" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "Gitea仓库如何管理权限？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "角色", + "权限", + "组织", + "团队", + "仓库" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "这个任务应该排什么优先级？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "优先级", + "紧急", + "重要", + "影响", + "截止" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "如何创建新的Hermes Bot？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "Bot", + "配置", + "创建", + "Hermes", + "步骤" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "Docker容器部署需要注意什么？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "镜像", + "安全", + "网络", + "卷", + "资源" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + }, + { + "vars": { + "question": "Woodpecker CI流水线如何配置？" + }, + "assert": [ + { + "type": "contains-any", + "value": [ + "YAML", + "流水线", + "步骤", + "Woodpecker", + "配置" + ] + }, + { + "type": "latency", + "threshold": 15000 + } + ] + } + ], + "outputPath": [ + "results.json" + ], + "extensions": [] + }, + "shareableUrl": null, + "metadata": { + "promptfooVersion": "0.121.18", + "nodeVersion": "v24.17.0", + "platform": "linux", + "arch": "x64", + "exportedAt": "2026-07-09T12:38:31.143Z", + "evaluationCreatedAt": "2026-07-09T12:37:04.476Z" + }, + "vars": [ + "question" + ], + "runtimeOptions": { + "eventSource": "cli", + "showProgressBar": true, + "repeat": 1, + "maxConcurrency": 2, + "cache": false + } +} \ No newline at end of file