chore: 清理冗余测试数据（server/scripts + QA脚本 + 截图 + e2e产物）
This commit is contained in:
Developer
@@ -1,147 +0,0 @@
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const D = require('better-sqlite3'), p = require('path');
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const db = new D(p.join(__dirname, '../data/metadata.db'));
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const { randomUUID } = require('crypto');
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const BANK = '984632e0-b35d-486d-9a19-27a14845db37';
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const insert = db.prepare(`INSERT INTO question_bank_items (id, bank_id, question_text, questionType, options, correctAnswer, key_points, difficulty, dimension, status, created_at, updated_at) VALUES (?, ?, ?, ?, ?, ?, ?, 'STANDARD', ?, 'PUBLISHED', datetime('now'), datetime('now'))`);
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function sa(q, dim, kp) {
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return { questionText: q, questionType: 'SHORT_ANSWER', dimension: dim, options: null, correctAnswer: null, keyPoints: kp };
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}
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function mcTF(q, ans, dim) {
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return { questionText: q, questionType: 'MULTIPLE_CHOICE', dimension: dim, options: ['TRUE', 'FALSE'], correctAnswer: ans, keyPoints: [] };
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}
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const questions = [
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// ====== IDE题库 ======
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// 一、GitHub Copilot — 智能代码补全
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mcTF('看到 Copilot 给出的灰色补全建议后，按 Tab 键可以接受建议。', 'TRUE', 'IDE'),
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mcTF('看到 Copilot 给出的补全建议后，按 Esc 键可以拒绝这个建议。', 'TRUE', 'IDE'),
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mcTF('写函数开头后，Copilot 会自动逐行补全后续逻辑。', 'TRUE', 'IDE'),
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sa('小张用Copilot智能补全生成了一段代码，看起来功能正常。在正式使用这段代码前，他应该先做什么？', 'IDE', ['审查代码逻辑', '确认没有语法错误或逻辑漏洞', 'AI生成的代码需要人工审核']),
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// 二、GitHub Copilot — Chat 三种模式
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sa('小张接手了一个老项目，打开OrderService.java发现有段逻辑看不太懂。他应该用Copilot Chat的哪种模式（Ask/Plan/Agent）？', 'IDE', ['Ask模式', 'Ask只回答问题不修改代码']),
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sa('小李需要在三个文件中新增一个批量删除用户的功能，希望AI直接帮他完成。应该用Copilot Chat的哪种模式？', 'IDE', ['Agent模式', 'Agent可以自动跨文件修改代码']),
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sa('小赵想在项目中新增一个功能，但不知道涉及哪些文件，想让AI先扫描整个项目给出方案。应该用哪种模式？', 'IDE', ['Plan模式', 'Plan只出方案不动代码']),
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mcTF('Ask模式下Copilot只会回答问题，不会修改用户的代码。', 'TRUE', 'IDE'),
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mcTF('Agent模式下Copilot可以跨多个文件修改代码。', 'TRUE', 'IDE'),
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// 三、GitHub Copilot — CLI 使用
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sa('小刘想用Copilot CLI重构一个Python脚本，过程中要多次对话逐步调优。应该用交互模式还是非交互模式？', 'IDE', ['交互模式', '交互模式支持多轮对话']),
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sa('小钱想用Copilot CLI快速解释一下git diff的结果，不想进入交互式对话。应该用哪种方式？', 'IDE', ['非交互模式', 'copilot -p指令适合一次性任务']),
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sa('小赵在Copilot CLI交互模式中，想清空当前对话上下文重新开始。应该用哪个命令？', 'IDE', ['/clear命令']),
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// 四、Claude Code — 交互方式
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mcTF('在Claude Code中输入@src/utils.js可以让AI读取该文件。', 'TRUE', 'IDE'),
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mcTF('在Claude Code中输入/clear可以清空当前对话。', 'TRUE', 'IDE'),
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mcTF('在Claude Code中输入!git status可以查看Git状态。', 'TRUE', 'IDE'),
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mcTF('在Claude Code中所有操作都必须用特殊符号，自然语言输入不能完成任何功能。', 'FALSE', 'IDE'),
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mcTF('在Claude Code中输入!npm run dev可以启动开发服务器。', 'TRUE', 'IDE'),
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mcTF('在Claude Code中输入/help可以查看所有可用命令。', 'TRUE', 'IDE'),
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// 五、Claude Code — 模型选择
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sa('Claude Code的三个模型：Sonnet（日常编码）、Haiku（快速简单）、Opus（复杂难题）。修复复杂系统架构Bug该用哪个？', 'IDE', ['Opus', 'Opus处理最复杂的难题']),
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sa('日常CRUD接口开发该用Claude Code的哪个模型？', 'IDE', ['Sonnet', 'Sonnet是日常编码首选']),
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sa('快速查一下某个JavaScript数组方法的语法，该用Claude Code的哪个模型？', 'IDE', ['Haiku', 'Haiku响应快成本低']),
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// 六、Claude Code — CLI 命令
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sa('小赵的Claude Code会话意外关闭了，想接着刚才的对话继续。该用哪个命令？', 'IDE', ['claude --continue', '或claude -c恢复上次会话']),
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sa('小钱想用Claude Code快速解释git diff结果，不想进入交互式对话。该用哪个命令？', 'IDE', ['claude -p指令', '-p参数用于一次性任务']),
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mcTF('claude --resume可以从历史会话列表中选择恢复。', 'TRUE', 'IDE'),
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// 七、OpenCode — 整体认知
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mcTF('OpenCode可以直接读取项目文件、修改代码、执行命令。', 'TRUE', 'IDE'),
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mcTF('传统AI像远程顾问给你建议但需要你动手；OpenCode可以直接帮你操作。', 'TRUE', 'IDE'),
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sa('小周想用OpenCode读取包含客户个人信息的代码文件让AI优化。这种做法合适吗？为什么？', 'IDE', ['不合适', '客户信息是敏感数据不能输入公共AI', '应先脱敏处理']),
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// 八、OpenCode — 安装与使用方式
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sa('OpenCode有终端版/桌面应用/IDE扩展/Web版四种方式。新手不想用命令行的该选哪个？', 'IDE', ['桌面应用', '界面直观适合新手']),
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sa('用VS Code写代码希望不离开编辑器用OpenCode该选哪种？', 'IDE', ['IDE扩展', '深度绑定编辑器']),
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sa('需要在远程服务器上开发只能通过命令行操作该选哪种？', 'IDE', ['终端版', '轻量启动快适合有基础的用户']),
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mcTF('在终端中输入opencode可以启动OpenCode。', 'TRUE', 'IDE'),
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// 九、OpenCode — Plan/Build 模式
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sa('小周接手新项目想先让OpenCode分析结构，还不想修改任何文件。该选Plan还是Build？', 'IDE', ['Plan模式', 'Plan只能读取文件不会修改代码']),
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sa('小周确认了修改方案想让OpenCode开始实际修改代码。该选Plan还是Build？', 'IDE', ['Build模式', 'Build可以编辑文件和执行命令']),
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mcTF('Plan模式下AI只能读取文件，不会修改任何代码。', 'TRUE', 'IDE'),
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mcTF('Build模式下AI可以编辑文件和执行命令。', 'TRUE', 'IDE'),
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sa('小周让OpenCode在Build模式下修改了多个文件。修改完成后他应该先做什么？', 'IDE', ['审查AI修改的代码', '确认逻辑正确后再使用', 'AI代码不能直接部署到生产']),
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// 十、OpenCode — 常用命令
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sa('小周用OpenCode修改代码后发现改错了想撤销。该用哪个命令？', 'IDE', ['/undo']),
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sa('小周撤销后又觉得还是刚才改得好想恢复回来。该用哪个命令？', 'IDE', ['/redo']),
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sa('小周想在新项目目录中创建AGENTS.md让OpenCode了解项目结构。该用哪个命令？', 'IDE', ['/init']),
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sa('小周想看看OpenCode当前有哪些可用的斜杠命令和快捷键。该用哪个命令？', 'IDE', ['/help']),
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sa('小周想切换OpenCode正在使用的AI模型。该用哪个命令？', 'IDE', ['/models']),
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// 十一、OpenCode — 模型选择
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mcTF('OpenCode内置多款免费模型，启动后可直接选择使用，无需配置API密钥。', 'TRUE', 'IDE'),
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mcTF('使用第三方LLM提供商需要自行承担API费用。', 'TRUE', 'IDE'),
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// 十二、Debug — 调试助手
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sa('小吴代码报错了不知道问题在哪，想用Copilot Chat定位和解决Bug。该用哪个命令？', 'IDE', ['/debug', '专用于定位和解决Bug']),
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sa('小吴知道问题在哪了，想让Copilot直接修复选中的代码。该用哪个命令？', 'IDE', ['/fix', '用于自动修复代码问题']),
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mcTF('在Copilot Chat中输入/tests可以生成选中代码的单元测试。', 'TRUE', 'IDE'),
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mcTF('在Copilot Chat中输入/explain可以让AI解释选中代码的逻辑。', 'TRUE', 'IDE'),
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mcTF('/debug命令可以帮助定位和解决Bug。', 'TRUE', 'IDE'),
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sa('小吴用/fix让Copilot自动修复了代码。修复完成后他应该先做什么？', 'IDE', ['审查修复后的代码', '确认修改正确逻辑无误后再使用']),
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sa('小吴想把包含数据库连接串的配置文件贴到Copilot Chat中用/debug分析。这种做法合适吗？', 'IDE', ['不合适', '数据库连接串是敏感信息', '应该用脱敏数据替代']),
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// ====== PROMPT补全 ======
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// 基于提示词工程.md
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sa('小王用AI写邮件时只写了"写一封邮件给客户"，AI反复追问细节。他在Prompt中缺少哪些要素？', 'PROMPT', ['缺少角色、背景和执行要求', '好的Prompt应包含六要素']),
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mcTF('Prompt越长越详细越好，不存在过长的问题。', 'FALSE', 'PROMPT'),
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sa('小李在Prompt中用了"非常好""很专业"这类模糊描述，AI的输出总是不符合预期。问题出在哪？', 'PROMPT', ['模糊描述导致AI理解偏差', '应使用具体可量化的要求', '如字数限制/格式要求/示例参考']),
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sa('小赵写了一篇很长的Prompt，但AI只关注了前半部分。这是什么原因？', 'PROMPT', ['上下文压缩', '长Prompt中尾部信息可能被忽略', '关键要求应放在Prompt开头']),
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sa('小张在Prompt中写了"不要使用过期API"，但AI还是用了。问题可能出在哪？', 'PROMPT', ['否定指令容易被AI忽略', '应正面表述要做什么', '改为"使用最新稳定版API"']),
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mcTF('给AI设定角色身份可以帮助AI更准确地理解任务。', 'TRUE', 'PROMPT'),
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sa('小刘想让AI输出表格数据，但AI每次格式都不一样。他应该在Prompt中加什么？', 'PROMPT', ['明确指定输出格式', '给出表格示例', '使用输出格式约束']),
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sa('小陈和AI对话了10轮后发现AI开始偏离最初的任务。这是为什么？怎么避免？', 'PROMPT', ['长对话中AI会模糊最初目标', '定期重申核心任务', '必要时开新窗口重写Prompt']),
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mcTF('发现AI偏离任务时，最好的做法是在当前对话中纠正它。', 'FALSE', 'PROMPT'),
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sa('小周想让AI修改一段代码，但AI只能看到当前对话的内容。他应该怎么做才能让AI充分理解项目背景？', 'PROMPT', ['提供项目相关上下文', '描述代码所在模块的功能', '给出完整的需求说明']),
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sa('小吴的Prompt总是很长，他发现AI回复质量随着Prompt长度增加而下降。最可能的原因是什么？', 'PROMPT', ['上下文窗口有限', '过长信息会被压缩或丢弃', '应精简Prompt保留关键信息']),
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mcTF('在Prompt中使用分隔符（如===、---）可以帮助AI更好地理解结构。', 'TRUE', 'PROMPT'),
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// ====== LLM补全 ======
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// 基于大语言模型入门.md + AI安全使用指南.md
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sa('小赵让AI分析公司年度财报，AI给出了详细的分析报告。有什么安全问题需要注意？', 'LLM', ['财报属于公司机密', '不应输入公共AI工具', '应使用脱敏后的模拟数据']),
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mcTF('AI的工作原理是根据上文猜下文，不是查资料找答案。', 'TRUE', 'LLM'),
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sa('小孙问AI一个关于最新API的问题，AI回答得很详细但用的API版本已经过时了。为什么？', 'LLM', ['AI的知识截止于训练日期', '不知道训练后发生的新事件', '应提供最新的API文档给AI']),
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sa('小李让AI同一道题回答了三遍，每次答案都不一样。这是正常的吗？为什么？', 'LLM', ['正常', 'AI是概率模型每次生成有随机性', '设置低temperature可让输出更稳定']),
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mcTF('AI的输出完全正确可靠，不需要人工验证。', 'FALSE', 'LLM'),
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sa('小钱让AI生成了一份产品需求文档，AI写得很专业但引用了一些不存在的市场数据。这是什么问题？', 'LLM', ['AI产生了幻觉', 'AI会编造看似合理但不存在的內容', '应要求AI只基于提供的数据回答']),
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sa('小周把客户数据库导出为CSV后上传给AI让它做数据分析。这个做法有什么风险？', 'LLM', ['客户数据不能输入公共AI', '可能造成数据泄露', '应使用脱敏数据']),
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mcTF('AI的"幻觉"是指AI会编造看似合理但实际错误的内容。', 'TRUE', 'LLM'),
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sa('小吴让AI翻译一份合同，AI翻译得很好但保留了原文中的客户签名信息。这有什么问题？', 'LLM', ['签名信息属于敏感数据', '不应输入公共AI工具', '应在输入前先脱敏']),
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sa('小郑想让AI基于公司内部培训材料出一份试题。但培训材料中包含未公开的产品计划。能直接把材料给AI吗？', 'LLM', ['不能', '未公开的产品计划属于公司机密', '应使用虚拟场景代替']),
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mcTF('AI训练数据的截止日期意味着AI不知道之后发生的事件。', 'TRUE', 'LLM'),
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// ====== DEV_PATTERN补全 ======
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// 基于开发范式与个人实践指南.md
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sa('小王用AI快速写完了一个功能，比预期快了3天。他应该把这3天用在做什么？', 'DEV_PATTERN', ['做更充分的测试', '审查AI代码质量', '优化代码结构']),
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mcTF('AI时代开发速度加快，质量保证流程也可以相应省略。', 'FALSE', 'DEV_PATTERN'),
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sa('小李的同事说"既然有AI写代码了，测试就不用写了吧"。你怎么回应？', 'DEV_PATTERN', ['AI时代测试更重要', 'AI生成代码更需要测试验证', '测试是保证质量的最后防线']),
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sa('小赵在瀑布式项目中用AI辅助开发，发现AI优化了原有设计。他能直接按AI的方案改吗？', 'DEV_PATTERN', ['不能直接改', '瀑布模式不鼓励中途变更方案', '应走正式变更流程']),
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mcTF('AI辅助开发中，花时间明确需求比直接让AI写代码更高效。', 'TRUE', 'DEV_PATTERN'),
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sa('小张用AI生成了核心功能的代码并合入了主分支。他的做法有什么问题？', 'DEV_PATTERN', ['AI代码应经审查后再合入', '直接合入可能引入质量问题', '应建立AI代码审查流程']),
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sa('团队引入AI后，项目经理说交付周期可以缩短一半。你认同吗？', 'DEV_PATTERN', ['AI能提高效率但不能简单减半', '审查测试等流程不能省略', 'AI更适合辅助而不是替代']),
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mcTF('使用AI辅助开发时，开发者对最终代码质量仍然负有全部责任。', 'TRUE', 'DEV_PATTERN'),
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sa('小刘用AI生成了原型代码拿去给客户演示，客户很满意要求直接部署上线。小刘应该怎么做？', 'DEV_PATTERN', ['原型代码不能直接部署', '需要整理代码通过质量检查', '补充测试和文档后再上线']),
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sa('小陈用AI探索一种新的技术方案，不确定能否成功。在瀑布模式下这么做有什么风险？', 'DEV_PATTERN', ['瀑布模式变更成本高', '探索性做法适合敏捷开发', '应在调研阶段验证而非开发阶段']),
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mcTF('用AI写的代码，出了问题责任在AI工具公司。', 'FALSE', 'DEV_PATTERN'),
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];
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let ok = 0;
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for (const q of questions) {
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const id = randomUUID();
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try {
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insert.run(id, BANK, q.questionText, q.questionType, q.options ? JSON.stringify(q.options) : null, q.correctAnswer || null, JSON.stringify(q.keyPoints || []), q.dimension);
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ok++;
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} catch (e) { console.log('FAIL:', e.message.substring(0, 60)); }
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}
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const r = db.prepare("SELECT dimension, questionType, COUNT(*) c FROM question_bank_items WHERE bank_id=? GROUP BY dimension, questionType ORDER BY dimension, questionType").all(BANK);
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const t = db.prepare("SELECT COUNT(*) c FROM question_bank_items WHERE bank_id=?").get(BANK);
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console.log('Added:', ok, 'Total:', t.c);
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r.forEach(i => console.log(' ' + i.dimension + ' ' + i.questionType + ': ' + i.c));
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db.close();
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@@ -1,11 +0,0 @@
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const sqlite3 = require('better-sqlite3');
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const db = new sqlite3('server/data/metadata.db');
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try {
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const results = db.prepare("SELECT * FROM model_configs WHERE modelId = 'text-embedding-v4'").all();
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console.log('Results for text-embedding-v4:', JSON.stringify(results, null, 2));
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const count = db.prepare("SELECT COUNT(*) as cnt FROM model_configs").get();
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console.log('Total model configs:', count.cnt);
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} catch (e) {
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console.error(e.message);
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}
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@@ -1,12 +0,0 @@
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const Database = require('better-sqlite3');
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const fs = require('fs');
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const db = new Database('./data/metadata.db');
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try {
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const rows = db.prepare("SELECT id, name, modelId, type, tenant_id FROM model_configs").all();
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fs.writeFileSync('models_list.json', JSON.stringify(rows, null, 2));
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} catch (err) {
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console.error(err);
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} finally {
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db.close();
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}
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@@ -1,12 +0,0 @@
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const sqlite3 = require('better-sqlite3');
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const db = new sqlite3('./data/metadata.db');
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|
||||
const tableInfo = db.prepare("PRAGMA table_info(model_configs)").all();
|
||||
console.log("Table info for model_configs:");
|
||||
console.log(JSON.stringify(tableInfo, null, 2));
|
||||
|
||||
const sample = db.prepare("SELECT * FROM model_configs LIMIT 5").all();
|
||||
console.log("Sample data:");
|
||||
console.log(JSON.stringify(sample, null, 2));
|
||||
|
||||
db.close();
|
||||
@@ -1,47 +0,0 @@
|
||||
const { Client } = require('@elastic/elasticsearch');
|
||||
|
||||
async function run() {
|
||||
const client = new Client({
|
||||
node: 'http://127.0.0.1:9200',
|
||||
});
|
||||
|
||||
try {
|
||||
const indexName = 'knowledge_base';
|
||||
|
||||
console.log(`\n--- Total Documents ---`);
|
||||
const count = await client.count({ index: indexName });
|
||||
console.log(count);
|
||||
|
||||
console.log(`\n--- Document Distribution by tenantId ---`);
|
||||
const distribution = await client.search({
|
||||
index: indexName,
|
||||
size: 0,
|
||||
aggs: {
|
||||
by_tenant: {
|
||||
terms: { field: 'tenantId', size: 100, missing: 'N/A' }
|
||||
}
|
||||
}
|
||||
});
|
||||
console.log(JSON.stringify(distribution.aggregations.by_tenant.buckets, null, 2));
|
||||
|
||||
console.log(`\n--- Sample Documents (last 5) ---`);
|
||||
const samples = await client.search({
|
||||
index: indexName,
|
||||
size: 5,
|
||||
sort: [{ createdAt: 'desc' }],
|
||||
});
|
||||
console.log(JSON.stringify(samples.hits.hits.map(h => ({
|
||||
id: h._id,
|
||||
tenantId: h._source.tenantId,
|
||||
fileName: h._source.fileName,
|
||||
vectorLength: h._source.vector?.length,
|
||||
vectorPreview: h._source.vector?.slice(0, 5),
|
||||
contentPreview: h._source.content?.substring(0, 50)
|
||||
})), null, 2));
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error:', error.meta?.body || error.message);
|
||||
}
|
||||
}
|
||||
|
||||
run();
|
||||
@@ -1,60 +0,0 @@
|
||||
import fitz # PyMuPDF
|
||||
import sys
|
||||
import os
|
||||
import json
|
||||
|
||||
def convert_pdf_to_images(pdf_path, output_dir, zoom=2.0, quality=85):
|
||||
"""
|
||||
Converts PDF pages to images.
|
||||
zoom: 2.0 means 200% scaling (approx 144 DPI if original is 72 DPI)
|
||||
"""
|
||||
try:
|
||||
if not os.path.exists(output_dir):
|
||||
os.makedirs(output_dir)
|
||||
|
||||
doc = fitz.open(pdf_path)
|
||||
images = []
|
||||
|
||||
# Matrix for scaling (DPI control)
|
||||
mat = fitz.Matrix(zoom, zoom)
|
||||
|
||||
for i in range(len(doc)):
|
||||
page = doc.load_page(i)
|
||||
pix = page.get_pixmap(matrix=mat, colorspace=fitz.csRGB)
|
||||
|
||||
output_path = os.path.join(output_dir, f"page-{i+1}.jpg")
|
||||
# In newer PyMuPDF, save() doesn't take quality. Use tobytes instead.
|
||||
img_bytes = pix.tobytes("jpg", jpg_quality=quality)
|
||||
with open(output_path, "wb") as f:
|
||||
f.write(img_bytes)
|
||||
|
||||
images.append({
|
||||
"path": output_path,
|
||||
"pageIndex": i + 1,
|
||||
"size": os.path.getsize(output_path)
|
||||
})
|
||||
|
||||
doc.close()
|
||||
return {
|
||||
"success": True,
|
||||
"images": images,
|
||||
"totalPages": len(images)
|
||||
}
|
||||
except Exception as e:
|
||||
return {
|
||||
"success": False,
|
||||
"error": str(e)
|
||||
}
|
||||
|
||||
if __name__ == "__main__":
|
||||
if len(sys.argv) < 3:
|
||||
print(json.dumps({"success": False, "error": "Usage: python pdf_to_images.py <pdf_path> <output_dir> [zoom] [quality]"}))
|
||||
sys.exit(1)
|
||||
|
||||
pdf_path = sys.argv[1]
|
||||
output_dir = sys.argv[2]
|
||||
zoom = float(sys.argv[3]) if len(sys.argv) > 3 else 2.0
|
||||
quality = int(sys.argv[4]) if len(sys.argv) > 4 else 85
|
||||
|
||||
result = convert_pdf_to_images(pdf_path, output_dir, zoom, quality)
|
||||
print(json.dumps(result))
|
||||
@@ -1,24 +0,0 @@
|
||||
/**
|
||||
* Quick script to reset the admin user password for E2E testing.
|
||||
* Usage: node reset-admin.mjs <newpassword>
|
||||
*/
|
||||
import Database from 'better-sqlite3';
|
||||
import bcrypt from 'bcrypt';
|
||||
import { fileURLToPath } from 'url';
|
||||
import path from 'path';
|
||||
|
||||
const __dirname = path.dirname(fileURLToPath(import.meta.url));
|
||||
const DB_PATH = path.resolve(__dirname, '../data/metadata.db');
|
||||
const newPassword = process.argv[2] || 'Admin@2026';
|
||||
|
||||
const db = new Database(DB_PATH);
|
||||
|
||||
const hashed = await bcrypt.hash(newPassword, 10);
|
||||
const result = db.prepare("UPDATE users SET password = ? WHERE username = 'admin'").run(hashed);
|
||||
|
||||
if (result.changes > 0) {
|
||||
console.log(`✅ Admin password reset to: ${newPassword}`);
|
||||
} else {
|
||||
console.log('❌ Admin user not found');
|
||||
}
|
||||
db.close();
|
||||
@@ -1,476 +0,0 @@
|
||||
/**
|
||||
* IDE 协作开发题库 — 种子脚本
|
||||
* 运行方式：cd D:/AuraK/server && node scripts/seed-ide-questions.js
|
||||
*/
|
||||
const { DatabaseSync } = require('node:sqlite');
|
||||
const crypto = require('crypto');
|
||||
const path = require('path');
|
||||
|
||||
const DB_PATH = path.join(__dirname, '..', 'data', 'metadata.db');
|
||||
const BANK_ID = crypto.randomUUID();
|
||||
const TENANT_ID = 'a140a68e-f70a-44d3-b753-fa33d48cf234'; // 现有tenant
|
||||
const ADMIN_USER_ID = '1cf8ba6d-d184-4055-ab58-99c6f38bbf93'; // admin用户
|
||||
|
||||
const db = new DatabaseSync(DB_PATH);
|
||||
|
||||
function uuid() {
|
||||
return crypto.randomUUID();
|
||||
}
|
||||
|
||||
function now() {
|
||||
return new Date().toISOString().replace('T', ' ').substring(0, 22) + '000';
|
||||
}
|
||||
|
||||
const ts = now();
|
||||
|
||||
// ===== 创建题库 =====
|
||||
console.log('Creating IDE question bank...');
|
||||
db.prepare(`
|
||||
INSERT INTO question_banks (id, tenant_id, template_id, name, description, status, created_by, reviewed_by, reviewed_at, review_comment, created_at, updated_at)
|
||||
VALUES (?, ?, NULL, ?, ?, 'PUBLISHED', ?, ?, ?, ?, ?, ?)
|
||||
`).run(BANK_ID, TENANT_ID, 'IDE协作开发题库', 'L1课程四：IDE协作开发考核题库，包含Copilot、Claude Code、OpenCode三种工具的50道题目', ADMIN_USER_ID, ADMIN_USER_ID, ts, 'approve', ts, ts);
|
||||
|
||||
// ===== 生成题目 =====
|
||||
const items = [];
|
||||
|
||||
function addItem(questionText, questionType, options, correctAnswer, keyPoints, difficulty, dimension, basis, judgment) {
|
||||
items.push({
|
||||
questionText,
|
||||
questionType,
|
||||
options: options ? JSON.stringify(options) : null,
|
||||
correctAnswer,
|
||||
keyPoints: JSON.stringify(keyPoints),
|
||||
difficulty: difficulty || 'STANDARD',
|
||||
dimension: dimension || 'IDE',
|
||||
basis: basis || null,
|
||||
judgment: judgment || null,
|
||||
});
|
||||
}
|
||||
|
||||
// ================================================
|
||||
// 一、GitHub Copilot — 智能代码补全（4题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n看到 Copilot 给出的灰色补全建议后，按 Tab 键可以接受建议。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Tab键接受补全建议', 'Copilot基础操作'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n看到 Copilot 给出的补全建议后，按 Esc 键可以拒绝这个建议。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Esc键拒绝补全建议', 'Copilot基础操作'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n写函数开头后，Copilot 会自动逐行补全后续逻辑。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Copilot智能补全功能', '注释驱动代码生成'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小张用智能补全生成了一段代码，看起来功能正常。\n\n问：在正式使用这段代码前，他应该先做什么？',
|
||||
'SHORT_ANSWER', null, '审查代码逻辑，确认没有语法错误或逻辑漏洞后再使用。AI 生成的代码需要人工审核。',
|
||||
['人工审核AI生成代码', '代码审查', '不直接使用AI生成的代码'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 红线警告'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 二、GitHub Copilot — Chat 三种模式（5题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小张接手了一个老项目，打开 OrderService.java 发现有段逻辑看不太懂。他打开 Copilot Chat，想先问问这段代码是干什么的。\n\nCopilot Chat 有以下三种模式：Ask / Plan / Agent\n\n问：小张应该选择哪种模式？',
|
||||
'SHORT_ANSWER', null, 'Ask（问答模式）。Ask 模式只回答问题，不修改代码。',
|
||||
['Ask模式适用场景', '不修改代码的对话方式'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 三种对话模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小李需要在三个文件中新增一个「批量删除用户」的功能，希望 AI 直接帮他完成代码修改。\n\nCopilot Chat 有以下三种模式：Ask / Plan / Agent\n\n问：小李应该选择哪种模式？',
|
||||
'SHORT_ANSWER', null, 'Agent（智能代理模式）。Agent 模式可以自动跨文件修改代码。',
|
||||
['Agent模式适用场景', '跨文件修改任务'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 三种对话模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小赵想在项目中新增一个功能，但不知道涉及哪些文件、影响范围多大，想让 AI 先扫描整个项目给出方案。\n\nCopilot Chat 有以下三种模式：Ask / Plan / Agent\n\n问：小赵应该选择哪种模式？',
|
||||
'SHORT_ANSWER', null, 'Plan（计划模式）。Plan 模式只出方案不动代码，适合先评估再动手。',
|
||||
['Plan模式适用场景', '先规划再执行'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 三种对话模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nAsk 模式下，Copilot 只会回答问题，不会修改用户的代码。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Ask模式只回答不修改'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nAgent 模式下，Copilot 可以跨多个文件修改代码。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Agent模式跨文件修改'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 三、GitHub Copilot — CLI 使用（3题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小刘想用 Copilot CLI 重构一个 Python 脚本，过程中要多次对话、逐步调优。\n\nCopilot CLI 有以下两种使用方式：交互模式（copilot）/ 非交互模式（copilot -p "指令"）\n\n问：小刘应该选择哪种方式？',
|
||||
'SHORT_ANSWER', null, '交互模式（copilot）。交互模式支持多轮对话，适合需要迭代的复杂任务。',
|
||||
['CLI交互模式适用场景', '多轮对话重构'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - CLI 使用'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小钱想用 Copilot CLI 快速解释一下 git diff 的结果，不想进入交互式对话。\n\nCopilot CLI 有以下两种使用方式：交互模式（copilot）/ 非交互模式（copilot -p "指令"）\n\n问：小钱应该选择哪种方式？',
|
||||
'SHORT_ANSWER', null, '非交互模式（copilot -p "指令"）。非交互模式适合一次性任务，快速获得结果后退出。',
|
||||
['CLI非交互模式适用场景', '一次性任务'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - CLI使用'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小赵在 Copilot CLI 交互模式中，想清空当前对话上下文重新开始。\n\nCopilot CLI 中常用的斜杠命令有：/clear / /model / /session / /exit\n\n问：小赵应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/clear',
|
||||
['CLI斜杠命令', '/clear清空对话'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - CLI斜杠命令'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 四、Claude Code — 四种交互方式（6题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中输入 @src/utils.js 可以让 AI 读取该文件。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Claude Code文件引用', '@语法'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 文件引用'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中输入 /clear 可以清空当前对话。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Claude Code斜杠命令', '/clear清屏'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 斜杠命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中输入 !git status 可以查看 Git 状态。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Claude Code Bash模式', '!语法执行系统命令'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 Bash模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中所有操作都必须用特殊符号，自然语言输入不能完成任何功能。',
|
||||
'TRUE_FALSE', null, '✗。自然语言也可以完成大部分功能，特殊符号用于特定场景。',
|
||||
['自然语言可用', '特殊符号的定位'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 交互方式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中输入 !npm run dev 可以启动开发服务器。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Claude Code Bash模式', '!语法启动开发服务器'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 Bash模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Claude Code 中输入 /help 可以查看所有可用命令。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Claude Code斜杠命令', '/help帮助'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 斜杠命令'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 五、Claude Code — 模型选择与切换（3题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'Claude Code 的三个模型特点如下：\n- Sonnet：主力工程师，日常编码首选\n- Haiku：响应极快、成本低，适合简单任务\n- Opus：处理超级复杂的难题，智商最高\n\n小陈需要修复一个非常复杂的系统架构 Bug。\n\n问：他应该选择哪个模型？',
|
||||
'SHORT_ANSWER', null, 'Opus',
|
||||
['Opus模型适用场景', '复杂难题'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 模型选择'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'Claude Code 的三个模型特点如下：\n- Sonnet：主力工程师，日常编码首选\n- Haiku：响应极快、成本低，适合简单任务\n- Opus：处理超级复杂的难题，智商最高\n\n小陈在做日常的 CRUD 接口开发。\n\n问：他应该选择哪个模型？',
|
||||
'SHORT_ANSWER', null, 'Sonnet',
|
||||
['Sonnet模型适用场景', '日常编码'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 模型选择'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'Claude Code 的三个模型特点如下：\n- Sonnet：主力工程师，日常编码首选\n- Haiku：响应极快、成本低，适合简单任务\n- Opus：处理超级复杂的难题，智商最高\n\n小陈想快速查一下某个 JavaScript 数组方法的语法。\n\n问：他应该选择哪个模型？',
|
||||
'SHORT_ANSWER', null, 'Haiku',
|
||||
['Haiku模型适用场景', '快速简单任务'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 模型选择'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 六、Claude Code — CLI 命令（3题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小赵的 Claude Code 会话因为终端意外关闭了，想接着刚才的对话继续。\n\nClaude CLI 有以下命令：claude / claude --continue / claude --resume\n\n问：小赵应该用哪个命令？',
|
||||
'SHORT_ANSWER', null, 'claude --continue（或 claude -c）。该命令用于恢复上次意外关闭的会话。',
|
||||
['恢复会话', '--continue参数'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 CLI命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小钱想用 Claude Code 快速解释一下 git diff 的结果，不想进入交互式对话。\n\nClaude CLI 有以下命令：claude / claude -p "指令" / claude --resume\n\n问：小钱应该用哪个命令？',
|
||||
'SHORT_ANSWER', null, 'claude -p "指令"。-p 参数用于一次性任务，适合快速执行。',
|
||||
['一次性任务', '-p参数'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 CLI命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nclaude --resume 可以从历史会话列表中选择恢复。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['恢复历史会话', '--resume参数'],
|
||||
'STANDARD', 'IDE', 'Claude Code 使用指南 - 第3章 CLI命令'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 七、OpenCode — 整体认知（3题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nOpenCode 像一位身边的搭档，可以直接读取项目文件、修改代码、执行命令。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['OpenCode核心定位', 'AI编码代理'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第1章 核心定位'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n传统 AI 像远程顾问，给你建议但需要你自己动手；OpenCode 可以直接帮你操作。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['OpenCode与传统AI区别', '直接操作能力'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第1章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周想用 OpenCode 读取包含客户个人信息的代码文件，让 AI 帮忙优化。\n\n问：这种做法是否合适？为什么？',
|
||||
'SHORT_ANSWER', null, '不合适。客户个人信息属于敏感数据，严禁输入任何公共 AI 工具。应该先对数据进行脱敏处理，用虚构数据或占位符替代后再使用。',
|
||||
['安全合规', '敏感数据保护', '数据脱敏'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 红线警告'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 八、OpenCode — 安装与使用方式（4题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'OpenCode 有以下四种使用方式：\n- 终端版 — 轻量启动快，适合有基础的用户\n- 桌面应用 — 界面直观，适合新手\n- IDE 扩展 — 深度绑定编辑器\n- Web 版 — 浏览器访问，可远程部署\n\n小周是新手，不喜欢操作命令行，想找一个界面直观的方式。\n\n问：他应该选择哪种方式？',
|
||||
'SHORT_ANSWER', null, '桌面应用',
|
||||
['OpenCode使用方式选择', '桌面应用适合新手'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第2章 使用方式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'OpenCode 有以下四种使用方式：终端版 / 桌面应用 / IDE 扩展 / Web 版\n\n小刘平时用 VS Code 写代码，希望不离开编辑器就能用 OpenCode。\n\n问：他应该选择哪种方式？',
|
||||
'SHORT_ANSWER', null, 'IDE 扩展',
|
||||
['OpenCode IDE扩展', '编辑器集成'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第2章 使用方式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'OpenCode 有以下四种使用方式：终端版 / 桌面应用 / IDE 扩展 / Web 版\n\n小马需要在远程服务器上开发，只能通过命令行操作。\n\n问：他应该选择哪种方式？',
|
||||
'SHORT_ANSWER', null, '终端版',
|
||||
['OpenCode终端版', '远程服务器开发'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第2章 使用方式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在终端中输入 opencode 可以启动 OpenCode。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['OpenCode启动命令'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第2章 安装'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 九、OpenCode — Plan / Build 工作模式（5题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小周接手了一个新项目，想先让 OpenCode 分析项目结构，还不想修改任何文件。\n\nOpenCode 有以下两种工作模式：Plan / Build\n\n问：小周应该选择哪种模式？',
|
||||
'SHORT_ANSWER', null, 'Plan（计划模式）。Plan 模式下 AI 只能读取文件，不会修改代码。',
|
||||
['Plan模式', '只读分析'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 Plan模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周已经确认了修改方案，想让 OpenCode 开始实际修改代码。\n\nOpenCode 有以下两种工作模式：Plan / Build\n\n问：小周应该选择哪种模式？',
|
||||
'SHORT_ANSWER', null, 'Build（构建模式）。Build 模式下 AI 可以编辑文件和执行命令。',
|
||||
['Build模式', '实际代码修改'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 Build模式'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nPlan 模式下 AI 只能读取文件，不会修改任何代码。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Plan模式只读特性'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nBuild 模式下 AI 可以编辑文件和执行命令。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['Build模式可写特性'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周让 OpenCode 在 Build 模式下修改了多个文件。\n\n问：修改完成后，他应该先做什么？',
|
||||
'SHORT_ANSWER', null, '审查 AI 修改的代码，确认逻辑正确后再使用。AI 生成的代码不能直接部署到生产环境。',
|
||||
['代码审查', 'AI生成代码需人工审核'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 安全原则'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 十、OpenCode — 常用命令（5题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小周用 OpenCode 修改了代码，但发现改错了，想撤销刚才的修改。\n\nOpenCode 中有以下命令：/undo / /redo / /clear / /init\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/undo',
|
||||
['OpenCode撤销命令', '/undo'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 撤销更改'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周撤销了修改后又觉得还是刚才改得好，想恢复回来。\n\nOpenCode 中有以下命令：/undo / /redo / /clear / /init\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/redo',
|
||||
['OpenCode重做命令', '/redo'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周想在新项目目录中创建 AGENTS.md 文件，让 OpenCode 了解项目结构。\n\nOpenCode 中有以下命令：/undo / /redo / /clear / /init\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/init',
|
||||
['OpenCode初始化', '/init命令'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第4章 项目初始化'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周想看看 OpenCode 当前有哪些可用的斜杠命令和快捷键。\n\nOpenCode 中有以下命令：/help / /models / /connect / /exit\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/help',
|
||||
['OpenCode帮助', '/help命令'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 斜杠命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小周想切换 OpenCode 正在使用的 AI 模型。\n\nOpenCode 中有以下命令：/help / /models / /connect / /exit\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/models',
|
||||
['OpenCode模型切换', '/models命令'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 模型选择'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 十一、OpenCode — 模型选择（2题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\nOpenCode 内置多款免费模型，启动后可以直接选择使用，无需配置 API 密钥。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['OpenCode免费模型', '无需API密钥'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 模型'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n使用第三方 LLM 提供商（如 OpenAI、Anthropic）需要自行承担 API 费用。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['第三方LLM费用', 'API成本'],
|
||||
'STANDARD', 'IDE', 'OpenCode 使用指南 - 第3章 模型'
|
||||
);
|
||||
|
||||
// ================================================
|
||||
// 十二、Debug — 调试助手（7题）
|
||||
// ================================================
|
||||
|
||||
addItem(
|
||||
'小吴的代码运行时报错了，不知道问题出在哪，想让 Copilot Chat 帮他定位和解决 Bug。\n\nCopilot Chat 中有以下命令：/fix / /tests / /explain / /debug\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/debug。该命令专用于帮助定位和解决 Bug。',
|
||||
['/debug命令', '定位解决Bug'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 内置命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小吴已经知道问题在哪了，想让 Copilot 直接修复选中的代码。\n\nCopilot Chat 中有以下命令：/fix / /tests / /explain / /debug\n\n问：他应该使用哪个命令？',
|
||||
'SHORT_ANSWER', null, '/fix。该命令用于自动修复代码问题。',
|
||||
['/fix命令', '自动修复代码'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 内置命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Copilot Chat 中输入 /tests 可以生成选中代码的单元测试。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['/tests命令', '生成单元测试'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 内置命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n在 Copilot Chat 中输入 /explain 可以让 AI 解释选中代码的逻辑。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['/explain命令', '解释代码逻辑'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 内置命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'以下说法是否正确？（✓ / ✗）\n\n/debug 命令可以帮助定位和解决 Bug。',
|
||||
'TRUE_FALSE', null, '✓',
|
||||
['/debug命令功能'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 第3章 内置命令'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小吴用 /fix 命令让 Copilot 自动修复了代码。\n\n问：修复完成后，他应该先做什么？',
|
||||
'SHORT_ANSWER', null, '审查修复后的代码，确认修改正确、逻辑无误后再使用。',
|
||||
['代码审查', '修复后验证'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 安全原则'
|
||||
);
|
||||
|
||||
addItem(
|
||||
'小吴遇到一个 Bug，想把包含数据库连接串的配置文件贴到 Copilot Chat 中用 /debug 分析。\n\n问：这种做法是否合适？为什么？',
|
||||
'SHORT_ANSWER', null, '不合适。数据库连接串属于敏感信息，严禁输入公共 AI 工具。应该用脱敏数据或占位符替代后再进行分析。',
|
||||
['安全合规', '敏感数据保护', '脱敏处理'],
|
||||
'STANDARD', 'IDE', 'GitHub Copilot 使用指南 - 红线警告'
|
||||
);
|
||||
|
||||
// ===== 批量插入题目 =====
|
||||
console.log(`Inserting ${items.length} questions...`);
|
||||
|
||||
const insertItem = db.prepare(`
|
||||
INSERT INTO question_bank_items (id, bank_id, question_text, questionType, options, correctAnswer, key_points, difficulty, dimension, basis, judgment, status, created_by, created_at, updated_at)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'PUBLISHED', ?, ?, ?)
|
||||
`);
|
||||
|
||||
for (const item of items) {
|
||||
insertItem.run(
|
||||
uuid(),
|
||||
BANK_ID,
|
||||
item.questionText,
|
||||
item.questionType,
|
||||
item.options,
|
||||
item.correctAnswer,
|
||||
item.keyPoints,
|
||||
item.difficulty,
|
||||
item.dimension,
|
||||
item.basis,
|
||||
item.judgment,
|
||||
ADMIN_USER_ID,
|
||||
ts,
|
||||
ts
|
||||
);
|
||||
}
|
||||
|
||||
console.log(`Successfully inserted ${items.length} IDE questions into bank ${BANK_ID}`);
|
||||
db.close();
|
||||
-2
@@ -1,2 +0,0 @@
|
||||
declare function testErrorHandling(): Promise<void>;
|
||||
export { testErrorHandling };
|
||||
@@ -1,180 +0,0 @@
|
||||
"use strict";
|
||||
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
var desc = Object.getOwnPropertyDescriptor(m, k);
|
||||
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
|
||||
desc = { enumerable: true, get: function() { return m[k]; } };
|
||||
}
|
||||
Object.defineProperty(o, k2, desc);
|
||||
}) : (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
o[k2] = m[k];
|
||||
}));
|
||||
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
|
||||
Object.defineProperty(o, "default", { enumerable: true, value: v });
|
||||
}) : function(o, v) {
|
||||
o["default"] = v;
|
||||
});
|
||||
var __importStar = (this && this.__importStar) || (function () {
|
||||
var ownKeys = function(o) {
|
||||
ownKeys = Object.getOwnPropertyNames || function (o) {
|
||||
var ar = [];
|
||||
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
|
||||
return ar;
|
||||
};
|
||||
return ownKeys(o);
|
||||
};
|
||||
return function (mod) {
|
||||
if (mod && mod.__esModule) return mod;
|
||||
var result = {};
|
||||
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
|
||||
__setModuleDefault(result, mod);
|
||||
return result;
|
||||
};
|
||||
})();
|
||||
Object.defineProperty(exports, "__esModule", { value: true });
|
||||
exports.testErrorHandling = testErrorHandling;
|
||||
const core_1 = require("@nestjs/core");
|
||||
const app_module_1 = require("./src/app.module");
|
||||
const knowledge_base_service_1 = require("./src/knowledge-base/knowledge-base.service");
|
||||
const libreoffice_service_1 = require("./src/libreoffice/libreoffice.service");
|
||||
const pdf2image_service_1 = require("./src/pdf2image/pdf2image.service");
|
||||
const vision_pipeline_service_1 = require("./src/vision-pipeline/vision-pipeline.service");
|
||||
const fs = __importStar(require("fs/promises"));
|
||||
const path = __importStar(require("path"));
|
||||
async function testErrorHandling() {
|
||||
console.log('🧪 Starting error handling and degradation mechanism tests\n');
|
||||
const app = await core_1.NestFactory.createApplicationContext(app_module_1.AppModule, {
|
||||
logger: ['error', 'warn', 'log'],
|
||||
});
|
||||
try {
|
||||
console.log('=== Test 1: LibreOffice service unavailable ===');
|
||||
const libreOffice = app.get(libreoffice_service_1.LibreOfficeService);
|
||||
try {
|
||||
const originalUrl = process.env.LIBREOFFICE_URL;
|
||||
process.env.LIBREOFFICE_URL = 'http://localhost:9999';
|
||||
const testDoc = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1765705143480-947461268.pdf';
|
||||
const testWord = '/tmp/test.docx';
|
||||
if (await fs.access(testWord).then(() => true).catch(() => false)) {
|
||||
try {
|
||||
await libreOffice.convertToPDF(testWord);
|
||||
console.log('❌ Should have failed but succeeded');
|
||||
}
|
||||
catch (error) {
|
||||
console.log(`✅ Correctly caught error: ${error.message}`);
|
||||
}
|
||||
}
|
||||
else {
|
||||
console.log('⚠️ Test Word file does not exist, skipping this part');
|
||||
}
|
||||
process.env.LIBREOFFICE_URL = originalUrl;
|
||||
}
|
||||
catch (error) {
|
||||
console.log('✅ LibreOffice error handling test complete');
|
||||
}
|
||||
console.log('\n=== Test 2: PDF to Image conversion failed ===');
|
||||
const pdf2Image = app.get(pdf2image_service_1.Pdf2ImageService);
|
||||
try {
|
||||
await pdf2Image.convertToImages('/nonexistent/file.pdf');
|
||||
console.log('❌ Should have failed but succeeded');
|
||||
}
|
||||
catch (error) {
|
||||
console.log(`✅ Correctly caught error: ${error.message}`);
|
||||
}
|
||||
console.log('\n=== Test 3: Vision Pipeline degradation mechanism ===');
|
||||
const visionPipeline = app.get(vision_pipeline_service_1.VisionPipelineService);
|
||||
const testPdf = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf';
|
||||
if (await fs.access(testPdf).then(() => true).catch(() => false)) {
|
||||
console.log(`Test file: ${path.basename(testPdf)}`);
|
||||
const recommendation = await visionPipeline.recommendMode(testPdf);
|
||||
console.log(`Recommended mode: ${recommendation.recommendedMode}`);
|
||||
console.log(`Reason: ${recommendation.reason}`);
|
||||
if (recommendation.recommendedMode === 'precise') {
|
||||
console.log('\n⚠️ Note: Full pipeline testing requires:');
|
||||
console.log(' 1. LibreOffice service running');
|
||||
console.log(' 2. ImageMagick installed');
|
||||
console.log(' 3. Vision model API Key configured');
|
||||
console.log('\nTo run full test, please manually configure the above environments');
|
||||
}
|
||||
}
|
||||
else {
|
||||
console.log('⚠️ Test files not found');
|
||||
}
|
||||
console.log('\n=== Test 4: KnowledgeBase degradation logic ===');
|
||||
const kbService = app.get(knowledge_base_service_1.KnowledgeBaseService);
|
||||
console.log('Degradation logic check:');
|
||||
console.log('✅ Supported formats: PDF, DOC, DOCX, PPT, PPTX');
|
||||
console.log('✅ Check Vision model configuration');
|
||||
console.log('✅ Auto-degrade to fast mode');
|
||||
console.log('✅ Error logging');
|
||||
console.log('✅ Temporary file cleanup');
|
||||
console.log('\n=== Test 5: Environment configuration validation ===');
|
||||
const configService = app.get(require('@nestjs/config').ConfigService);
|
||||
const checks = [
|
||||
{ name: 'LIBREOFFICE_URL', required: true },
|
||||
{ name: 'TEMP_DIR', required: true },
|
||||
{ name: 'ELASTICSEARCH_HOST', required: true },
|
||||
{ name: 'TIKA_HOST', required: true },
|
||||
{ name: 'CHUNK_BATCH_SIZE', required: false },
|
||||
];
|
||||
let allPassed = true;
|
||||
for (const check of checks) {
|
||||
const value = configService.get(check.name);
|
||||
const passed = check.required ? !!value : true;
|
||||
const status = passed ? '✅' : '❌';
|
||||
console.log(`${status} ${check.name}: ${value || 'Not configured'}`);
|
||||
if (!passed)
|
||||
allPassed = false;
|
||||
}
|
||||
if (allPassed) {
|
||||
console.log('\n🎉 All configuration checks passed!');
|
||||
}
|
||||
else {
|
||||
console.log('\n⚠️ Please check missing configuration items');
|
||||
}
|
||||
console.log('\n=== Test 6: Temporary file cleanup mechanism ===');
|
||||
try {
|
||||
const tempDir = configService.get('TEMP_DIR', './temp');
|
||||
const tempExists = await fs.access(tempDir).then(() => true).catch(() => false);
|
||||
if (tempExists) {
|
||||
console.log(`✅ Temporary directory exists: ${tempDir}`);
|
||||
const files = await fs.readdir(tempDir);
|
||||
if (files.length > 0) {
|
||||
console.log(`⚠️ Found ${files.length} temporary files, cleanup recommended`);
|
||||
}
|
||||
else {
|
||||
console.log('✅ Temporary directory is empty');
|
||||
}
|
||||
}
|
||||
else {
|
||||
console.log('⚠️ Temporary directory does not exist, will be created on first run');
|
||||
}
|
||||
}
|
||||
catch (error) {
|
||||
console.log(`❌ Temporary directory check failed: ${error.message}`);
|
||||
}
|
||||
console.log('\n=== Error Handling Test Summary ===');
|
||||
console.log('✅ LibreOffice connection error handling');
|
||||
console.log('✅ PDF to Image conversion failure handling');
|
||||
console.log('✅ Vision model error handling');
|
||||
console.log('✅ Auto-degrade to fast mode');
|
||||
console.log('✅ Temporary file cleanup');
|
||||
console.log('✅ Environment configuration validation');
|
||||
console.log('\n💡 Suggestions:');
|
||||
console.log(' 1. Add more monitoring in production environment');
|
||||
console.log(' 2. Implement user quota limits');
|
||||
console.log(' 3. Add processing timeout mechanism');
|
||||
console.log(' 4. Regularly clean up temporary files');
|
||||
}
|
||||
catch (error) {
|
||||
console.error('❌ Test failed:', error.message);
|
||||
console.error(error.stack);
|
||||
}
|
||||
finally {
|
||||
await app.close();
|
||||
}
|
||||
}
|
||||
if (require.main === module) {
|
||||
testErrorHandling().catch(console.error);
|
||||
}
|
||||
//# sourceMappingURL=test-error-handling.js.map
|
||||
@@ -1 +0,0 @@
|
||||
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|
||||
@@ -1,179 +0,0 @@
|
||||
/**
|
||||
* Vision Pipeline 错误处理和降级机制测试
|
||||
*
|
||||
* 测试各种错误场景下的系统行为
|
||||
*/
|
||||
|
||||
import { NestFactory } from '@nestjs/core';
|
||||
import { AppModule } from './src/app.module';
|
||||
import { KnowledgeBaseService } from './src/knowledge-base/knowledge-base.service';
|
||||
import { LibreOfficeService } from './src/libreoffice/libreoffice.service';
|
||||
import { Pdf2ImageService } from './src/pdf2image/pdf2image.service';
|
||||
import { VisionPipelineService } from './src/vision-pipeline/vision-pipeline.service';
|
||||
import * as fs from 'fs/promises';
|
||||
import * as path from 'path';
|
||||
|
||||
async function testErrorHandling() {
|
||||
console.log('🧪 Starting error handling and degradation mechanism tests\n');
|
||||
|
||||
const app = await NestFactory.createApplicationContext(AppModule, {
|
||||
logger: ['error', 'warn', 'log'],
|
||||
});
|
||||
|
||||
try {
|
||||
// 测试 1: LibreOffice 服务不可用
|
||||
console.log('=== Test 1: LibreOffice service unavailable ===');
|
||||
const libreOffice = app.get(LibreOfficeService);
|
||||
|
||||
try {
|
||||
// 模拟服务不可用
|
||||
const originalUrl = process.env.LIBREOFFICE_URL;
|
||||
process.env.LIBREOFFICE_URL = 'http://localhost:9999'; // 错误的地址
|
||||
|
||||
const testDoc = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1765705143480-947461268.pdf';
|
||||
|
||||
// 尝试转换非 PDF 文件（需要 LibreOffice）
|
||||
const testWord = '/tmp/test.docx'; // 假设存在
|
||||
if (await fs.access(testWord).then(() => true).catch(() => false)) {
|
||||
try {
|
||||
await libreOffice.convertToPDF(testWord);
|
||||
console.log('❌ Should have failed but succeeded');
|
||||
} catch (error) {
|
||||
console.log(`✅ Correctly caught error: ${error.message}`);
|
||||
}
|
||||
} else {
|
||||
console.log('⚠️ Test Word file does not exist, skipping this part');
|
||||
}
|
||||
|
||||
// 恢复配置
|
||||
process.env.LIBREOFFICE_URL = originalUrl;
|
||||
} catch (error) {
|
||||
console.log('✅ LibreOffice error handling test complete');
|
||||
}
|
||||
|
||||
// 测试 2: PDF 转图片失败
|
||||
console.log('\n=== Test 2: PDF to Image conversion failed ===');
|
||||
const pdf2Image = app.get(Pdf2ImageService);
|
||||
|
||||
try {
|
||||
// 测试不存在的 PDF
|
||||
await pdf2Image.convertToImages('/nonexistent/file.pdf');
|
||||
console.log('❌ Should have failed but succeeded');
|
||||
} catch (error) {
|
||||
console.log(`✅ Correctly caught error: ${error.message}`);
|
||||
}
|
||||
|
||||
// 测试 3: Vision Pipeline 完整流程 - 降级测试
|
||||
console.log('\n=== Test 3: Vision Pipeline degradation mechanism ===');
|
||||
const visionPipeline = app.get(VisionPipelineService);
|
||||
|
||||
// 检查是否有测试文件
|
||||
const testPdf = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf';
|
||||
if (await fs.access(testPdf).then(() => true).catch(() => false)) {
|
||||
console.log(`Test file: ${path.basename(testPdf)}`);
|
||||
|
||||
// 测试模式推荐
|
||||
const recommendation = await visionPipeline.recommendMode(testPdf);
|
||||
console.log(`Recommended mode: ${recommendation.recommendedMode}`);
|
||||
console.log(`Reason: ${recommendation.reason}`);
|
||||
|
||||
// 如果推荐精准模式，测试流程
|
||||
if (recommendation.recommendedMode === 'precise') {
|
||||
console.log('\n⚠️ Note: Full pipeline testing requires:');
|
||||
console.log(' 1. LibreOffice service running');
|
||||
console.log(' 2. ImageMagick installed');
|
||||
console.log(' 3. Vision model API Key configured');
|
||||
console.log('\nTo run full test, please manually configure the above environments');
|
||||
}
|
||||
} else {
|
||||
console.log('⚠️ Test files not found');
|
||||
}
|
||||
|
||||
// 测试 4: KnowledgeBase 降级逻辑
|
||||
console.log('\n=== Test 4: KnowledgeBase degradation logic ===');
|
||||
const kbService = app.get(KnowledgeBaseService);
|
||||
|
||||
console.log('Degradation logic check:');
|
||||
console.log('✅ Supported formats: PDF, DOC, DOCX, PPT, PPTX');
|
||||
console.log('✅ Check Vision model configuration');
|
||||
console.log('✅ Auto-degrade to fast mode');
|
||||
console.log('✅ Error logging');
|
||||
console.log('✅ Temporary file cleanup');
|
||||
|
||||
// 测试 5: 环境配置验证
|
||||
console.log('\n=== Test 5: Environment configuration validation ===');
|
||||
const configService = app.get(require('@nestjs/config').ConfigService);
|
||||
|
||||
const checks = [
|
||||
{ name: 'LIBREOFFICE_URL', required: true },
|
||||
{ name: 'TEMP_DIR', required: true },
|
||||
{ name: 'ELASTICSEARCH_HOST', required: true },
|
||||
{ name: 'TIKA_HOST', required: true },
|
||||
{ name: 'CHUNK_BATCH_SIZE', required: false },
|
||||
];
|
||||
|
||||
let allPassed = true;
|
||||
for (const check of checks) {
|
||||
const value = configService.get(check.name);
|
||||
const passed = check.required ? !!value : true;
|
||||
const status = passed ? '✅' : '❌';
|
||||
console.log(`${status} ${check.name}: ${value || 'Not configured'}`);
|
||||
if (!passed) allPassed = false;
|
||||
}
|
||||
|
||||
if (allPassed) {
|
||||
console.log('\n🎉 All configuration checks passed!');
|
||||
} else {
|
||||
console.log('\n⚠️ Please check missing configuration items');
|
||||
}
|
||||
|
||||
// 测试 6: 临时文件清理机制
|
||||
console.log('\n=== Test 6: Temporary file cleanup mechanism ===');
|
||||
try {
|
||||
// 检查临时目录
|
||||
const tempDir = configService.get('TEMP_DIR', './temp');
|
||||
const tempExists = await fs.access(tempDir).then(() => true).catch(() => false);
|
||||
|
||||
if (tempExists) {
|
||||
console.log(`✅ Temporary directory exists: ${tempDir}`);
|
||||
|
||||
// 检查是否有遗留文件
|
||||
const files = await fs.readdir(tempDir);
|
||||
if (files.length > 0) {
|
||||
console.log(`⚠️ Found ${files.length} temporary files, cleanup recommended`);
|
||||
} else {
|
||||
console.log('✅ Temporary directory is empty');
|
||||
}
|
||||
} else {
|
||||
console.log('⚠️ Temporary directory does not exist, will be created on first run');
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(`❌ Temporary directory check failed: ${error.message}`);
|
||||
}
|
||||
|
||||
console.log('\n=== Error Handling Test Summary ===');
|
||||
console.log('✅ LibreOffice connection error handling');
|
||||
console.log('✅ PDF to Image conversion failure handling');
|
||||
console.log('✅ Vision model error handling');
|
||||
console.log('✅ Auto-degrade to fast mode');
|
||||
console.log('✅ Temporary file cleanup');
|
||||
console.log('✅ Environment configuration validation');
|
||||
console.log('\n💡 Suggestions:');
|
||||
console.log(' 1. Add more monitoring in production environment');
|
||||
console.log(' 2. Implement user quota limits');
|
||||
console.log(' 3. Add processing timeout mechanism');
|
||||
console.log(' 4. Regularly clean up temporary files');
|
||||
|
||||
} catch (error) {
|
||||
console.error('❌ Test failed:', error.message);
|
||||
console.error(error.stack);
|
||||
} finally {
|
||||
await app.close();
|
||||
}
|
||||
}
|
||||
|
||||
if (require.main === module) {
|
||||
testErrorHandling().catch(console.error);
|
||||
}
|
||||
|
||||
export { testErrorHandling };
|
||||
-1
@@ -1 +0,0 @@
|
||||
export {};
|
||||
@@ -1,137 +0,0 @@
|
||||
"use strict";
|
||||
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
var desc = Object.getOwnPropertyDescriptor(m, k);
|
||||
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
|
||||
desc = { enumerable: true, get: function() { return m[k]; } };
|
||||
}
|
||||
Object.defineProperty(o, k2, desc);
|
||||
}) : (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
o[k2] = m[k];
|
||||
}));
|
||||
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
|
||||
Object.defineProperty(o, "default", { enumerable: true, value: v });
|
||||
}) : function(o, v) {
|
||||
o["default"] = v;
|
||||
});
|
||||
var __importStar = (this && this.__importStar) || (function () {
|
||||
var ownKeys = function(o) {
|
||||
ownKeys = Object.getOwnPropertyNames || function (o) {
|
||||
var ar = [];
|
||||
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
|
||||
return ar;
|
||||
};
|
||||
return ownKeys(o);
|
||||
};
|
||||
return function (mod) {
|
||||
if (mod && mod.__esModule) return mod;
|
||||
var result = {};
|
||||
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
|
||||
__setModuleDefault(result, mod);
|
||||
return result;
|
||||
};
|
||||
})();
|
||||
var __importDefault = (this && this.__importDefault) || function (mod) {
|
||||
return (mod && mod.__esModule) ? mod : { "default": mod };
|
||||
};
|
||||
Object.defineProperty(exports, "__esModule", { value: true });
|
||||
const axios_1 = __importDefault(require("axios"));
|
||||
const fs = __importStar(require("fs"));
|
||||
const path = __importStar(require("path"));
|
||||
const os = __importStar(require("os"));
|
||||
async function testLocalImport() {
|
||||
const baseURL = 'http://localhost:3001/api';
|
||||
const username = process.argv[2] || 'admin';
|
||||
const password = process.argv[3];
|
||||
const sourceFolder = process.argv[4];
|
||||
const tenantId = process.argv[5];
|
||||
if (!password) {
|
||||
console.error('Usage: ts-node scripts/test-local-import.ts <username> <password> [sourceFolder] [tenantId]');
|
||||
process.exit(1);
|
||||
}
|
||||
try {
|
||||
console.log(`Logging in as ${username} to ${baseURL}...`);
|
||||
const loginRes = await axios_1.default.post(`${baseURL}/auth/login`, {
|
||||
username,
|
||||
password
|
||||
});
|
||||
const jwtToken = loginRes.data.access_token;
|
||||
console.log('Login successful.');
|
||||
console.log('Retrieving API key...');
|
||||
const apiKeyRes = await axios_1.default.get(`${baseURL}/auth/api-key`, {
|
||||
headers: { Authorization: `Bearer ${jwtToken}` }
|
||||
});
|
||||
const apiKey = apiKeyRes.data.apiKey;
|
||||
console.log('API Key retrieved:', apiKey);
|
||||
const authHeaders = { 'x-api-key': apiKey };
|
||||
if (tenantId) {
|
||||
authHeaders['x-tenant-id'] = tenantId;
|
||||
console.log(`Target tenant set to: ${tenantId}`);
|
||||
}
|
||||
let targetPath = sourceFolder;
|
||||
let isTemp = false;
|
||||
if (!targetPath) {
|
||||
isTemp = true;
|
||||
targetPath = path.join(os.tmpdir(), `aurak-test-${Date.now()}`);
|
||||
const subDir = path.join(targetPath, 'subfolder');
|
||||
fs.mkdirSync(targetPath, { recursive: true });
|
||||
fs.mkdirSync(subDir, { recursive: true });
|
||||
fs.writeFileSync(path.join(targetPath, 'root-file.md'), '# Root File\nContent in root.', 'utf8');
|
||||
fs.writeFileSync(path.join(subDir, 'sub-file.txt'), 'Content in subfolder.', 'utf8');
|
||||
console.log(`Created temporary test structure at: ${targetPath}`);
|
||||
}
|
||||
else {
|
||||
console.log(`Using provided source folder: ${targetPath}`);
|
||||
if (!fs.existsSync(targetPath)) {
|
||||
throw new Error(`The specified folder does not exist: ${targetPath}`);
|
||||
}
|
||||
}
|
||||
const modelsRes = await axios_1.default.get(`${baseURL}/models`, {
|
||||
headers: authHeaders
|
||||
});
|
||||
const embeddingModel = modelsRes.data.find((m) => m.type === 'embedding' && m.isEnabled !== false);
|
||||
if (!embeddingModel) {
|
||||
throw new Error('No enabled embedding model found');
|
||||
}
|
||||
console.log(`Using embedding model: ${embeddingModel.id}`);
|
||||
console.log('Triggering local folder import...');
|
||||
const importRes = await axios_1.default.post(`${baseURL}/upload/local-folder`, {
|
||||
sourcePath: targetPath,
|
||||
embeddingModelId: embeddingModel.id,
|
||||
useHierarchy: true
|
||||
}, {
|
||||
headers: authHeaders
|
||||
});
|
||||
console.log('Import response:', importRes.data);
|
||||
if (isTemp) {
|
||||
console.log('Waiting for background processing (10s)...');
|
||||
await new Promise(resolve => setTimeout(resolve, 10000));
|
||||
const kbRes = await axios_1.default.get(`${baseURL}/knowledge-bases`, {
|
||||
headers: authHeaders
|
||||
});
|
||||
const importedFiles = kbRes.data.filter((f) => f.originalName === 'root-file.md' || f.originalName === 'sub-file.txt');
|
||||
console.log(`Found ${importedFiles.length} imported files in KB.`);
|
||||
if (importedFiles.length === 2) {
|
||||
console.log('SUCCESS: All files imported.');
|
||||
}
|
||||
else {
|
||||
console.log('FAILURE: Not all files were imported.');
|
||||
}
|
||||
}
|
||||
else {
|
||||
console.log('Custom folder import triggered. Please check the UI or database for results.');
|
||||
}
|
||||
}
|
||||
catch (error) {
|
||||
if (error.response) {
|
||||
console.error(`Test failed with status ${error.response.status}:`, JSON.stringify(error.response.data));
|
||||
}
|
||||
else {
|
||||
console.error('Test failed:', error.message);
|
||||
}
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
testLocalImport();
|
||||
//# sourceMappingURL=test-local-import.js.map
|
||||
@@ -1 +0,0 @@
|
||||
{"version":3,"file":"test-local-import.js","sourceRoot":"","sources":["test-local-import.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAAA,kDAA0B;AAC1B,uCAAyB;AACzB,2CAA6B;AAC7B,uCAAyB;AAEzB,KAAK,UAAU,eAAe;IAC1B,MAAM,OAAO,GAAG,2BAA2B,CAAC;IAC5C,MAAM,QAAQ,GAAG,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,IAAI,OAAO,CAAC;IAC5C,MAAM,QAAQ,GAAG,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;IACjC,MAAM,YAAY,GAAG,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;IACrC,MAAM,QAAQ,GAAG,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;IAEjC,IAAI,CAAC,QAAQ,EAAE,CAAC;QACZ,OAAO,CAAC,KAAK,CAAC,6FAA6F,CAAC,CAAC;QAC7G,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;IACpB,CAAC;IAED,IAAI,CAAC;QAED,OAAO,CAAC,GAAG,CAAC,iBAAiB,QAAQ,OAAO,OAAO,KAAK,CAAC,CAAC;QAC1D,MAAM,QAAQ,GAAG,MAAM,eAAK,CAAC,IAAI,CAAC,GAAG,OAAO,aAAa,EAAE;YACvD,QAAQ;YACR,QAAQ;SACX,CAAC,CAAC;QACH,MAAM,QAAQ,GAAG,QAAQ,CAAC,IAAI,CAAC,YAAY,CAAC;QAC5C,OAAO,CAAC,GAAG,CAAC,mBAAmB,CAAC,CAAC;QAGjC,OAAO,CAAC,GAAG,CAAC,uBAAuB,CAAC,CAAC;QACrC,MAAM,SAAS,GAAG,MAAM,eAAK,CAAC,GAAG,CAAC,GAAG,OAAO,eAAe,EAAE;YACzD,OAAO,EAAE,EAAE,aAAa,EAAE,UAAU,QAAQ,EAAE,EAAE;SACnD,CAAC,CAAC;QACH,MAAM,MAAM,GAAG,SAAS,CAAC,IAAI,CAAC,MAAM,CAAC;QACrC,OAAO,CAAC,GAAG,CAAC,oBAAoB,EAAE,MAAM,CAAC,CAAC;QAG1C,MAAM,WAAW,GAAQ,EAAE,WAAW,EAAE,MAAM,EAAE,CAAC;QACjD,IAAI,QAAQ,EAAE,CAAC;YACX,WAAW,CAAC,aAAa,CAAC,GAAG,QAAQ,CAAC;YACtC,OAAO,CAAC,GAAG,CAAC,yBAAyB,QAAQ,EAAE,CAAC,CAAC;QACrD,CAAC;QAGD,IAAI,UAAU,GAAG,YAAY,CAAC;QAC9B,IAAI,MAAM,GAAG,KAAK,CAAC;QAEnB,IAAI,CAAC,UAAU,EAAE,CAAC;YACd,MAAM,GAAG,IAAI,CAAC;YACd,UAAU,GAAG,IAAI,CAAC,IAAI,CAAC,EAAE,CAAC,MAAM,EAAE,EAAE,cAAc,IAAI,CAAC,GAAG,EAAE,EAAE,CAAC,CAAC;YAChE,MAAM,MAAM,GAAG,IAAI,CAAC,IAAI,CAAC,UAAU,EAAE,WAAW,CAAC,CAAC;YAElD,EAAE,CAAC,SAAS,CAAC,UAAU,EAAE,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAC;YAC9C,EAAE,CAAC,SAAS,CAAC,MAAM,EAAE,EAAE,SAAS,EAAE,IAAI,EAAE,CAAC,CAAC;YAE1C,EAAE,CAAC,aAAa,CAAC,IAAI,CAAC,IAAI,CAAC,UAAU,EAAE,cAAc,CAAC,EAAE,+BAA+B,EAAE,MAAM,CAAC,CAAC;YACjG,EAAE,CAAC,aAAa,CAAC,IAAI,CAAC,IAAI,CAAC,MAAM,EAAE,cAAc,CAAC,EAAE,uBAAuB,EAAE,MAAM,CAAC,CAAC;YAErF,OAAO,CAAC,GAAG,CAAC,wCAAwC,UAAU,EAAE,CAAC,CAAC;QACtE,CAAC;aAAM,CAAC;YACJ,OAAO,CAAC,GAAG,CAAC,iCAAiC,UAAU,EAAE,CAAC,CAAC;YAC3D,IAAI,CAAC,EAAE,CAAC,UAAU,CAAC,UAAU,CAAC,EAAE,CAAC;gBAC7B,MAAM,IAAI,KAAK,CAAC,wCAAwC,UAAU,EAAE,CAAC,CAAC;YAC1E,CAAC;QACL,CAAC;QAGD,MAAM,SAAS,GAAG,MAAM,eAAK,CAAC,GAAG,CAAC,GAAG,OAAO,SAAS,EAAE;YACnD,OAAO,EAAE,WAAW;SACvB,CAAC,CAAC;QACH,MAAM,cAAc,GAAG,SAAS,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,CAAM,EAAE,EAAE,CAAC,CAAC,CAAC,IAAI,KAAK,WAAW,IAAI,CAAC,CAAC,SAAS,KAAK,KAAK,CAAC,CAAC;QAExG,IAAI,CAAC,cAAc,EAAE,CAAC;YAClB,MAAM,IAAI,KAAK,CAAC,kCAAkC,CAAC,CAAC;QACxD,CAAC;QAED,OAAO,CAAC,GAAG,CAAC,0BAA0B,cAAc,CAAC,EAAE,EAAE,CAAC,CAAC;QAG3D,OAAO,CAAC,GAAG,CAAC,mCAAmC,CAAC,CAAC;QACjD,MAAM,SAAS,GAAG,MAAM,eAAK,CAAC,IAAI,CAAC,GAAG,OAAO,sBAAsB,EAAE;YACjE,UAAU,EAAE,UAAU;YACtB,gBAAgB,EAAE,cAAc,CAAC,EAAE;YACnC,YAAY,EAAE,IAAI;SACrB,EAAE;YACC,OAAO,EAAE,WAAW;SACvB,CAAC,CAAC;QAEH,OAAO,CAAC,GAAG,CAAC,kBAAkB,EAAE,SAAS,CAAC,IAAI,CAAC,CAAC;QAGhD,IAAI,MAAM,EAAE,CAAC;YACT,OAAO,CAAC,GAAG,CAAC,4CAA4C,CAAC,CAAC;YAC1D,MAAM,IAAI,OAAO,CAAC,OAAO,CAAC,EAAE,CAAC,UAAU,CAAC,OAAO,EAAE,KAAK,CAAC,CAAC,CAAC;YAEzD,MAAM,KAAK,GAAG,MAAM,eAAK,CAAC,GAAG,CAAC,GAAG,OAAO,kBAAkB,EAAE;gBACxD,OAAO,EAAE,WAAW;aACvB,CAAC,CAAC;YAEH,MAAM,aAAa,GAAG,KAAK,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,CAAM,EAAE,EAAE,CAC/C,CAAC,CAAC,YAAY,KAAK,cAAc,IAAI,CAAC,CAAC,YAAY,KAAK,cAAc,CACzE,CAAC;YAEF,OAAO,CAAC,GAAG,CAAC,SAAS,aAAa,CAAC,MAAM,wBAAwB,CAAC,CAAC;YACnE,IAAI,aAAa,CAAC,MAAM,KAAK,CAAC,EAAE,CAAC;gBAC7B,OAAO,CAAC,GAAG,CAAC,8BAA8B,CAAC,CAAC;YAChD,CAAC;iBAAM,CAAC;gBACJ,OAAO,CAAC,GAAG,CAAC,uCAAuC,CAAC,CAAC;YACzD,CAAC;QACL,CAAC;aAAM,CAAC;YACJ,OAAO,CAAC,GAAG,CAAC,8EAA8E,CAAC,CAAC;QAChG,CAAC;IAEL,CAAC;IAAC,OAAO,KAAU,EAAE,CAAC;QAClB,IAAI,KAAK,CAAC,QAAQ,EAAE,CAAC;YACjB,OAAO,CAAC,KAAK,CAAC,2BAA2B,KAAK,CAAC,QAAQ,CAAC,MAAM,GAAG,EAAE,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC;QAC5G,CAAC;aAAM,CAAC;YACJ,OAAO,CAAC,KAAK,CAAC,cAAc,EAAE,KAAK,CAAC,OAAO,CAAC,CAAC;QACjD,CAAC;QACD,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC;IACpB,CAAC;AACL,CAAC;AAGD,eAAe,EAAE,CAAC"}
|
||||
@@ -1,126 +0,0 @@
|
||||
import axios from 'axios';
|
||||
import * as fs from 'fs';
|
||||
import * as path from 'path';
|
||||
import * as os from 'os';
|
||||
|
||||
async function testLocalImport() {
|
||||
const baseURL = 'http://localhost:3001/api';
|
||||
const username = process.argv[2] || 'admin';
|
||||
const password = process.argv[3];
|
||||
const sourceFolder = process.argv[4];
|
||||
const tenantId = process.argv[5];
|
||||
|
||||
if (!password) {
|
||||
console.error('Usage: ts-node scripts/test-local-import.ts <username> <password> [sourceFolder] [tenantId]');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
try {
|
||||
// 1. Login to get JWT Token
|
||||
console.log(`Logging in as ${username} to ${baseURL}...`);
|
||||
const loginRes = await axios.post(`${baseURL}/auth/login`, {
|
||||
username,
|
||||
password
|
||||
});
|
||||
const jwtToken = loginRes.data.access_token;
|
||||
console.log('Login successful.');
|
||||
|
||||
// 2. Get API Key using JWT Token
|
||||
console.log('Retrieving API key...');
|
||||
const apiKeyRes = await axios.get(`${baseURL}/auth/api-key`, {
|
||||
headers: { Authorization: `Bearer ${jwtToken}` }
|
||||
});
|
||||
const apiKey = apiKeyRes.data.apiKey;
|
||||
console.log('API Key retrieved:', apiKey);
|
||||
|
||||
// From now on, using x-api-key for authentication
|
||||
const authHeaders: any = { 'x-api-key': apiKey };
|
||||
if (tenantId) {
|
||||
authHeaders['x-tenant-id'] = tenantId;
|
||||
console.log(`Target tenant set to: ${tenantId}`);
|
||||
}
|
||||
|
||||
// 3. Prepare folder structure
|
||||
let targetPath = sourceFolder;
|
||||
let isTemp = false;
|
||||
|
||||
if (!targetPath) {
|
||||
isTemp = true;
|
||||
targetPath = path.join(os.tmpdir(), `aurak-test-${Date.now()}`);
|
||||
const subDir = path.join(targetPath, 'subfolder');
|
||||
|
||||
fs.mkdirSync(targetPath, { recursive: true });
|
||||
fs.mkdirSync(subDir, { recursive: true });
|
||||
|
||||
fs.writeFileSync(path.join(targetPath, 'root-file.md'), '# Root File\nContent in root.', 'utf8');
|
||||
fs.writeFileSync(path.join(subDir, 'sub-file.txt'), 'Content in subfolder.', 'utf8');
|
||||
|
||||
console.log(`Created temporary test structure at: ${targetPath}`);
|
||||
} else {
|
||||
console.log(`Using provided source folder: ${targetPath}`);
|
||||
if (!fs.existsSync(targetPath)) {
|
||||
throw new Error(`The specified folder does not exist: ${targetPath}`);
|
||||
}
|
||||
}
|
||||
|
||||
// 4. Initial check for embedding models
|
||||
const modelsRes = await axios.get(`${baseURL}/models`, {
|
||||
headers: authHeaders
|
||||
});
|
||||
const embeddingModel = modelsRes.data.find((m: any) => m.type === 'embedding' && m.isEnabled !== false);
|
||||
|
||||
if (!embeddingModel) {
|
||||
throw new Error('No enabled embedding model found');
|
||||
}
|
||||
|
||||
console.log(`Using embedding model: ${embeddingModel.id}`);
|
||||
|
||||
// 5. Call local-folder import endpoint
|
||||
console.log('Triggering local folder import...');
|
||||
const importRes = await axios.post(`${baseURL}/upload/local-folder`, {
|
||||
sourcePath: targetPath,
|
||||
embeddingModelId: embeddingModel.id,
|
||||
useHierarchy: true
|
||||
}, {
|
||||
headers: authHeaders
|
||||
});
|
||||
|
||||
console.log('Import response:', importRes.data);
|
||||
|
||||
// 6. Verification
|
||||
if (isTemp) {
|
||||
console.log('Waiting for background processing (10s)...');
|
||||
await new Promise(resolve => setTimeout(resolve, 10000));
|
||||
|
||||
const kbRes = await axios.get(`${baseURL}/knowledge-bases`, {
|
||||
headers: authHeaders
|
||||
});
|
||||
|
||||
const importedFiles = kbRes.data.filter((f: any) =>
|
||||
f.originalName === 'root-file.md' || f.originalName === 'sub-file.txt'
|
||||
);
|
||||
|
||||
console.log(`Found ${importedFiles.length} imported files in KB.`);
|
||||
if (importedFiles.length === 2) {
|
||||
console.log('SUCCESS: All files imported.');
|
||||
} else {
|
||||
console.log('FAILURE: Not all files were imported.');
|
||||
}
|
||||
} else {
|
||||
console.log('Custom folder import triggered. Please check the UI or database for results.');
|
||||
}
|
||||
|
||||
} catch (error: any) {
|
||||
if (error.response) {
|
||||
console.error(`Test failed with status ${error.response.status}:`, JSON.stringify(error.response.data));
|
||||
} else {
|
||||
console.error('Test failed:', error.message);
|
||||
}
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
testLocalImport();
|
||||
|
||||
|
||||
-2
@@ -1,2 +0,0 @@
|
||||
declare function testVisionPipeline(): Promise<void>;
|
||||
export { testVisionPipeline };
|
||||
@@ -1,139 +0,0 @@
|
||||
"use strict";
|
||||
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
var desc = Object.getOwnPropertyDescriptor(m, k);
|
||||
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
|
||||
desc = { enumerable: true, get: function() { return m[k]; } };
|
||||
}
|
||||
Object.defineProperty(o, k2, desc);
|
||||
}) : (function(o, m, k, k2) {
|
||||
if (k2 === undefined) k2 = k;
|
||||
o[k2] = m[k];
|
||||
}));
|
||||
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
|
||||
Object.defineProperty(o, "default", { enumerable: true, value: v });
|
||||
}) : function(o, v) {
|
||||
o["default"] = v;
|
||||
});
|
||||
var __importStar = (this && this.__importStar) || (function () {
|
||||
var ownKeys = function(o) {
|
||||
ownKeys = Object.getOwnPropertyNames || function (o) {
|
||||
var ar = [];
|
||||
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
|
||||
return ar;
|
||||
};
|
||||
return ownKeys(o);
|
||||
};
|
||||
return function (mod) {
|
||||
if (mod && mod.__esModule) return mod;
|
||||
var result = {};
|
||||
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
|
||||
__setModuleDefault(result, mod);
|
||||
return result;
|
||||
};
|
||||
})();
|
||||
Object.defineProperty(exports, "__esModule", { value: true });
|
||||
exports.testVisionPipeline = testVisionPipeline;
|
||||
const core_1 = require("@nestjs/core");
|
||||
const app_module_1 = require("./src/app.module");
|
||||
const vision_pipeline_service_1 = require("./src/vision-pipeline/vision-pipeline.service");
|
||||
const libreoffice_service_1 = require("./src/libreoffice/libreoffice.service");
|
||||
const pdf2image_service_1 = require("./src/pdf2image/pdf2image.service");
|
||||
const fs = __importStar(require("fs/promises"));
|
||||
const path = __importStar(require("path"));
|
||||
async function testVisionPipeline() {
|
||||
console.log('🚀 Starting Vision Pipeline end-to-end test\n');
|
||||
const app = await core_1.NestFactory.createApplicationContext(app_module_1.AppModule, {
|
||||
logger: ['error', 'warn', 'log'],
|
||||
});
|
||||
try {
|
||||
console.log('=== Test 1: LibreOffice service ===');
|
||||
const libreOffice = app.get(libreoffice_service_1.LibreOfficeService);
|
||||
const isHealthy = await libreOffice.healthCheck();
|
||||
console.log(`LibreOffice health check: ${isHealthy ? '✅ Passed' : '❌ Failed'}`);
|
||||
if (!isHealthy) {
|
||||
console.log('⚠️ LibreOffice service not running, skipping subsequent tests');
|
||||
return;
|
||||
}
|
||||
console.log('\n=== Test 2: PDF to Image service ===');
|
||||
const pdf2Image = app.get(pdf2image_service_1.Pdf2ImageService);
|
||||
const testPdf = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf';
|
||||
if (await fs.access(testPdf).then(() => true).catch(() => false)) {
|
||||
console.log(`Test PDF: ${path.basename(testPdf)}`);
|
||||
const result = await pdf2Image.convertToImages(testPdf, {
|
||||
density: 150,
|
||||
quality: 75,
|
||||
format: 'jpeg',
|
||||
});
|
||||
console.log(`✅ Conversion successful: ${result.images.length}/${result.totalPages} pages`);
|
||||
console.log(` Success: ${result.successCount}, Failed: ${result.failedCount}`);
|
||||
await pdf2Image.cleanupImages(result.images);
|
||||
console.log('✅ Temporary files cleaned up');
|
||||
}
|
||||
else {
|
||||
console.log('⚠️ Test PDF file does not exist, skipping this test');
|
||||
}
|
||||
console.log('\n=== Test 3: Vision Pipeline complete flow ===');
|
||||
const visionPipeline = app.get(vision_pipeline_service_1.VisionPipelineService);
|
||||
const testFiles = [
|
||||
'/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf',
|
||||
'/home/fzxs/workspaces/demo/simple-kb/uploads/file-1765705143480-947461268.pdf',
|
||||
];
|
||||
let testFile = null;
|
||||
for (const file of testFiles) {
|
||||
if (await fs.access(file).then(() => true).catch(() => false)) {
|
||||
testFile = file;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (testFile) {
|
||||
console.log(`Test file: ${path.basename(testFile)}`);
|
||||
const recommendation = await visionPipeline.recommendMode(testFile);
|
||||
console.log(`Recommended mode: ${recommendation.recommendedMode}`);
|
||||
console.log(`Reason: ${recommendation.reason}`);
|
||||
if (recommendation.estimatedCost) {
|
||||
console.log(`Estimated cost: $${recommendation.estimatedCost.toFixed(2)}`);
|
||||
}
|
||||
if (recommendation.estimatedTime) {
|
||||
console.log(`Estimated time: ${recommendation.estimatedTime.toFixed(1)}s`);
|
||||
}
|
||||
if (recommendation.warnings && recommendation.warnings.length > 0) {
|
||||
console.log(`Warnings: ${recommendation.warnings.join(', ')}`);
|
||||
}
|
||||
console.log('\n✅ Vision Pipeline module correctly configured');
|
||||
console.log(' Note: Full flow testing requires a valid Vision model API Key');
|
||||
}
|
||||
else {
|
||||
console.log('⚠️ Test files not found, skipping complete flow test');
|
||||
}
|
||||
console.log('\n=== Test 4: Environment configuration check ===');
|
||||
const configService = app.get(require('@nestjs/config').ConfigService);
|
||||
const requiredEnvVars = [
|
||||
'LIBREOFFICE_URL',
|
||||
'TEMP_DIR',
|
||||
'ELASTICSEARCH_HOST',
|
||||
'TIKA_HOST',
|
||||
];
|
||||
for (const envVar of requiredEnvVars) {
|
||||
const value = configService.get(envVar);
|
||||
if (value) {
|
||||
console.log(`✅ ${envVar}: ${value}`);
|
||||
}
|
||||
else {
|
||||
console.log(`❌ ${envVar}: Not configured`);
|
||||
}
|
||||
}
|
||||
console.log('\n🎉 All basic tests completed!');
|
||||
}
|
||||
catch (error) {
|
||||
console.error('❌ Test failed:', error.message);
|
||||
console.error(error.stack);
|
||||
}
|
||||
finally {
|
||||
await app.close();
|
||||
}
|
||||
}
|
||||
if (require.main === module) {
|
||||
testVisionPipeline().catch(console.error);
|
||||
}
|
||||
//# sourceMappingURL=test-vision-pipeline.js.map
|
||||
@@ -1 +0,0 @@
|
||||
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|
||||
@@ -1,145 +0,0 @@
|
||||
/**
|
||||
* Vision Pipeline 端到端测试脚本
|
||||
*
|
||||
* 测试流程：
|
||||
* 1. LibreOffice 文档转换
|
||||
* 2. PDF 转图片
|
||||
* 3. Vision 模型分析
|
||||
* 4. 完整流程集成
|
||||
*/
|
||||
|
||||
import { NestFactory } from '@nestjs/core';
|
||||
import { AppModule } from './src/app.module';
|
||||
import { VisionPipelineService } from './src/vision-pipeline/vision-pipeline.service';
|
||||
import { LibreOfficeService } from './src/libreoffice/libreoffice.service';
|
||||
import { Pdf2ImageService } from './src/pdf2image/pdf2image.service';
|
||||
import { VisionService } from './src/vision/vision.service';
|
||||
import * as fs from 'fs/promises';
|
||||
import * as path from 'path';
|
||||
|
||||
async function testVisionPipeline() {
|
||||
console.log('🚀 Starting Vision Pipeline end-to-end test\n');
|
||||
|
||||
// 初始化 Nest 应用
|
||||
const app = await NestFactory.createApplicationContext(AppModule, {
|
||||
logger: ['error', 'warn', 'log'],
|
||||
});
|
||||
|
||||
try {
|
||||
// 1. 测试 LibreOffice 服务
|
||||
console.log('=== Test 1: LibreOffice service ===');
|
||||
const libreOffice = app.get(LibreOfficeService);
|
||||
|
||||
// 检查健康状态
|
||||
const isHealthy = await libreOffice.healthCheck();
|
||||
console.log(`LibreOffice health check: ${isHealthy ? '✅ Passed' : '❌ Failed'}`);
|
||||
|
||||
if (!isHealthy) {
|
||||
console.log('⚠️ LibreOffice service not running, skipping subsequent tests');
|
||||
return;
|
||||
}
|
||||
|
||||
// 2. 测试 PDF 转图片服务
|
||||
console.log('\n=== Test 2: PDF to Image service ===');
|
||||
const pdf2Image = app.get(Pdf2ImageService);
|
||||
|
||||
const testPdf = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf';
|
||||
if (await fs.access(testPdf).then(() => true).catch(() => false)) {
|
||||
console.log(`Test PDF: ${path.basename(testPdf)}`);
|
||||
|
||||
const result = await pdf2Image.convertToImages(testPdf, {
|
||||
density: 150, // 降低密度以加快测试
|
||||
quality: 75,
|
||||
format: 'jpeg',
|
||||
});
|
||||
|
||||
console.log(`✅ Conversion successful: ${result.images.length}/${result.totalPages} pages`);
|
||||
console.log(` Success: ${result.successCount}, Failed: ${result.failedCount}`);
|
||||
|
||||
// 清理测试文件
|
||||
await pdf2Image.cleanupImages(result.images);
|
||||
console.log('✅ Temporary files cleaned up');
|
||||
} else {
|
||||
console.log('⚠️ Test PDF file does not exist, skipping this test');
|
||||
}
|
||||
|
||||
// 3. 测试 Vision Pipeline 完整流程
|
||||
console.log('\n=== Test 3: Vision Pipeline complete flow ===');
|
||||
const visionPipeline = app.get(VisionPipelineService);
|
||||
|
||||
// 检查是否有支持的测试文件
|
||||
const testFiles = [
|
||||
'/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf',
|
||||
'/home/fzxs/workspaces/demo/simple-kb/uploads/file-1765705143480-947461268.pdf',
|
||||
];
|
||||
|
||||
let testFile: string | null = null;
|
||||
for (const file of testFiles) {
|
||||
if (await fs.access(file).then(() => true).catch(() => false)) {
|
||||
testFile = file;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (testFile) {
|
||||
console.log(`Test file: ${path.basename(testFile)}`);
|
||||
|
||||
// 模式推荐测试
|
||||
const recommendation = await visionPipeline.recommendMode(testFile);
|
||||
console.log(`Recommended mode: ${recommendation.recommendedMode}`);
|
||||
console.log(`Reason: ${recommendation.reason}`);
|
||||
if (recommendation.estimatedCost) {
|
||||
console.log(`Estimated cost: $${recommendation.estimatedCost.toFixed(2)}`);
|
||||
}
|
||||
if (recommendation.estimatedTime) {
|
||||
console.log(`Estimated time: ${recommendation.estimatedTime.toFixed(1)}s`);
|
||||
}
|
||||
if (recommendation.warnings && recommendation.warnings.length > 0) {
|
||||
console.log(`Warnings: ${recommendation.warnings.join(', ')}`);
|
||||
}
|
||||
|
||||
// 注意：完整流程测试需要配置 Vision 模型 API Key
|
||||
// 这里只测试流程结构
|
||||
console.log('\n✅ Vision Pipeline module correctly configured');
|
||||
console.log(' Note: Full flow testing requires a valid Vision model API Key');
|
||||
|
||||
} else {
|
||||
console.log('⚠️ Test files not found, skipping complete flow test');
|
||||
}
|
||||
|
||||
// 4. 检查环境配置
|
||||
console.log('\n=== Test 4: Environment configuration check ===');
|
||||
const configService = app.get(require('@nestjs/config').ConfigService);
|
||||
|
||||
const requiredEnvVars = [
|
||||
'LIBREOFFICE_URL',
|
||||
'TEMP_DIR',
|
||||
'ELASTICSEARCH_HOST',
|
||||
'TIKA_HOST',
|
||||
];
|
||||
|
||||
for (const envVar of requiredEnvVars) {
|
||||
const value = configService.get(envVar);
|
||||
if (value) {
|
||||
console.log(`✅ ${envVar}: ${value}`);
|
||||
} else {
|
||||
console.log(`❌ ${envVar}: Not configured`);
|
||||
}
|
||||
}
|
||||
|
||||
console.log('\n🎉 All basic tests completed!');
|
||||
|
||||
} catch (error) {
|
||||
console.error('❌ Test failed:', error.message);
|
||||
console.error(error.stack);
|
||||
} finally {
|
||||
await app.close();
|
||||
}
|
||||
}
|
||||
|
||||
// 运行测试
|
||||
if (require.main === module) {
|
||||
testVisionPipeline().catch(console.error);
|
||||
}
|
||||
|
||||
export { testVisionPipeline };
|
||||
@@ -1,22 +0,0 @@
|
||||
import asyncio
|
||||
import argparse
|
||||
import edge_tts
|
||||
|
||||
async def generate_speech(text, voice, output_file):
|
||||
communicate = edge_tts.Communicate(text, voice)
|
||||
await communicate.save(output_file)
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(description='Text to Speech using Edge TTS')
|
||||
parser.add_argument('--text', required=True, help='Text to convert to speech')
|
||||
parser.add_argument('--voice', required=True, help='Voice to use (e.g., zh-CN-YunxiNeural)')
|
||||
parser.add_argument('--output', required=True, help='Output MP3 file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
try:
|
||||
asyncio.run(generate_speech(args.text, args.voice, args.output))
|
||||
print(f"Success: {args.output}")
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
exit(1)
|
||||
Reference in New Issue
Block a user