{"repo": "castlecry/teka", "files": {"database_init.sql": {"e17337723a0e6516350f703e0202a31a3c33b80f": {"t": 1785746545.0112488, "n": 14720, "h": "e0795ad6b83039f0", "c": "-- ============================================================\n-- 智汇办公 AI 智能平台 - 数据库初始化脚本\n-- 数据库类型: PostgreSQL\n-- 包含: 建表语句 + 示例数据\n-- ============================================================\n\n-- ============================================================\n-- 第一部分: 建表语句\n-- ============================================================\n\n-- 角色表\nCREATE TABLE IF NOT EXISTS roles (\n    id          SERIAL PRIMARY KEY,\n    name        VARCHAR(50)  NOT NULL UNIQUE,\n    description TEXT,\n    permissions JSONB DEFAULT '[]'::jsonb,\n    created_at  TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    updated_at  TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 用户表\nCREATE TABLE IF NOT EXISTS users (\n    id            SERIAL PRIMARY KEY,\n    username      VARCHAR(50)  NOT NULL UNIQUE,\n    email         VARCHAR(100) NOT NULL UNIQUE,\n    password_hash VARCHAR(255) NOT NULL,\n    full_name     VARCHAR(100),\n    department    VARCHAR(50),\n    role_id       INTEGER REFERENCES roles(id),\n    status        BOOLEAN DEFAULT TRUE,\n    avatar        VARCHAR(500),\n    created_at    TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    updated_at    TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 知识库表\nCREATE TABLE IF NOT EXISTS knowledge_bases (\n    id              SERIAL PRIMARY KEY,\n    name            VARCHAR(100) NOT NULL,\n    description     TEXT,\n    department      VARCHAR(50),\n    owner_id        INTEGER REFERENCES users(id),\n    embedding_model VARCHAR(100) DEFAULT 'qwen3-embedding:0.6b',\n    is_personal     BOOLEAN DEFAULT FALSE,\n    module          VARCHAR(50)  DEFAULT 'general',\n    is_shared       BOOLEAN DEFAULT FALSE,\n    is_locked       BOOLEAN DEFAULT FALSE,\n    status          BOOLEAN DEFAULT TRUE,\n    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    updated_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 文档表\nCREATE TYPE document_status AS ENUM ('pending', 'processing', 'completed', 'failed', 'rejected', 'pending_review');\n\nCREATE TABLE IF NOT EXISTS documents (\n    id                SERIAL PRIMARY KEY,\n    knowledge_base_id INTEGER REFERENCES knowledge_bases(id),\n    filename          VARCHAR(255) NOT NULL,\n    file_path         VARCHAR(500),\n    file_type         VARCHAR(50),\n    size              INTEGER,\n    chunk_count       INTEGER DEFAULT 0,\n    status            document_status DEFAULT 'pending',\n    uploaded_by       INTEGER REFERENCES users(id),\n    uploaded_at       TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    updated_at        TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    audit_id          INTEGER,\n    audit_status      VARCHAR(20) DEFAULT 'pending',\n    rejection_reason  TEXT\n);\n\n-- 内容审核日志表\nCREATE TABLE IF NOT EXISTS content_audit_logs (\n    id               SERIAL PRIMARY KEY,\n    document_id      INTEGER REFERENCES documents(id),\n    filename         VARCHAR(300) NOT NULL,\n    knowledge_base_id INTEGER REFERENCES knowledge_bases(id),\n    user_id          INTEGER NOT NULL REFERENCES users(id),\n    verdict          VARCHAR(20) NOT NULL,  -- PASS / REVIEW / BLOCK\n    confidence       REAL DEFAULT 0.5,\n    categories       JSONB DEFAULT '[]'::jsonb,\n    reasons          JSONB DEFAULT '[]'::jsonb,\n    summary          TEXT,\n    raw_result       TEXT,\n    status           VARCHAR(20) DEFAULT 'pending',\n    reviewer_id      INTEGER REFERENCES users(id),\n    reviewer_comment TEXT,\n    created_at       TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    reviewed_at      TIMESTAMP\n);\n\n-- 对话记录表\nCREATE TABLE IF NOT EXISTS conversation_logs (\n    id                  SERIAL PRIMARY KEY,\n    conversation_id     VARCHAR(50),\n    user_id             INTEGER REFERENCES users(id),\n    query               TEXT,\n    answer              TEXT,\n    sources             JSONB DEFAULT '[]'::jsonb,\n    knowledge_base_ids  JSONB DEFAULT '[]'::jsonb,\n    module              VARCHAR(50) DEFAULT 'general',\n    created_at          TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 系统配置表\nCREATE TABLE IF NOT EXISTS system_config (\n    id          SERIAL PRIMARY KEY,\n    key         VARCHAR(100) NOT NULL UNIQUE,\n    value       TEXT,\n    description TEXT,\n    created_at  TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n    updated_at  TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 用户反馈表\nCREATE TABLE IF NOT EXISTS feedback (\n    id              SERIAL PRIMARY KEY,\n    conversation_id VARCHAR(50),\n    message_id      VARCHAR(50),\n    user_id         INTEGER REFERENCES users(id),\n    rating          INTEGER,\n    correction      TEXT,\n    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 对话收藏表\nCREATE TABLE IF NOT EXISTS conversation_favorites (\n    id              SERIAL PRIMARY KEY,\n    conversation_id VARCHAR(50)  NOT NULL,\n    message_id      VARCHAR(100),\n    user_id         INTEGER NOT NULL REFERENCES users(id),\n    title           VARCHAR(200),\n    query           TEXT,\n    answer          TEXT,\n    module          VARCHAR(50) DEFAULT 'general',\n    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\n-- 索引\nCREATE INDEX IF NOT EXISTS idx_users_username ON users(username);\nCREATE INDEX IF NOT EXISTS idx_users_email ON users(email);\nCREATE INDEX IF NOT EXISTS idx_users_role_id ON users(role_id);\nCREATE INDEX IF NOT EXISTS idx_knowledge_bases_owner_id ON knowledge_bases(owner_id);\nCREATE INDEX IF NOT EXISTS idx_knowledge_bases_module ON knowledge_bases(module);\nCREATE INDEX IF NOT EXISTS idx_documents_kb_id ON documents(knowledge_base_id);\nCREATE INDEX IF NOT EXISTS idx_documents_uploaded_by ON documents(uploaded_by);\nCREATE INDEX IF NOT EXISTS idx_conversation_logs_user_id ON conversation_logs(user_id);\nCREATE INDEX IF NOT EXISTS idx_conversation_logs_conv_id ON conversation_logs(conversation_id);\nCREATE INDEX IF NOT EXISTS idx_conversation_logs_module ON conversation_logs(module);\nCREATE INDEX IF NOT EXISTS idx_content_audit_user_id ON content_audit_logs(user_id);\nCREATE INDEX IF NOT EXISTS idx_content_audit_verdict ON content_audit_logs(verdict);\nCREATE INDEX IF NOT EXISTS idx_feedback_user_id ON feedback(user_id);\nCREATE INDEX IF NOT EXISTS idx_favorites_user_id ON conversation_favorites(user_id);\n\n-- ============================================================\n-- 第二部分: 示例数据\n-- ============================================================\n\n-- 角色数据\nINSERT INTO roles (name, description, permissions) VALUES\n    ('admin', '管理员，拥有全部权限', '[\"user.create\",\"user.read\",\"user.update\",\"user.delete\",\"kb.create\",\"kb.read\",\"kb.update\",\"kb.delete\",\"doc.upload\",\"doc.delete\",\"audit.review\",\"config.manage\",\"feedback.read\"]'::jsonb),\n    ('user', '普通用户，基础使用权限', '[\"user.read\",\"kb.read\",\"doc.upload\",\"feedback.create\",\"feedback.read\"]'::jsonb);\n\n-- 用户数据（密码均为 bcrypt 加密，明文为 \"123456\"）\nINSERT INTO users (username, email, password_hash, full_name, department, role_id, status) VALUES\n    ('admin', 'admin@company.com', '$2b$12$LJ3m4ys3Lk0pKZxKxKxKxOqJ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5', '系统管理员', '技术部', 1, TRUE),\n    ('zhangsan', 'zhangsan@company.com', '$2b$12$LJ3m4ys3Lk0pKZxKxKxKxOqJ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5', '张三', '人力资源部', 2, TRUE),\n    ('lisi', 'lisi@company.com', '$2b$12$LJ3m4ys3Lk0pKZxKxKxKxOqJ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5', '李四', '财务部', 2, TRUE),\n    ('wangwu', 'wangwu@company.com', '$2b$12$LJ3m4ys3Lk0pKZxKxKxKxOqJ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5', '王五', '技术部', 2, TRUE),\n    ('zhaoliu', 'zhaoliu@company.com', '$2b$12$LJ3m4ys3Lk0pKZxKxKxKxOqJ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5qZ5', '赵六', '行政部', 2, FALSE);\n\n-- 知识库数据\nINSERT INTO knowledge_bases (name, description, department, owner_id, is_personal, module, is_shared, is_locked) VALUES\n    ('规章制度', '公司规章制度，包含考勤、薪酬、绩效、请假等制度文件', NULL, 1, FALSE, 'policy', TRUE, TRUE),\n    ('产品技术', '产品技术文档，包含API文档、架构说明、运维手册等', NULL, 1, FALSE, 'tech', TRUE, TRUE),\n    ('行政服务', '行政服务指南，包含场地预约、IT设备、员工福利等', NULL, 1, FALSE, 'admin', TRUE, TRUE),\n    ('通用知识库', '通用知识问答库', NULL, 1, FALSE, 'general', TRUE, FALSE),\n    ('张三的个人笔记', '张三个人整理的学习笔记', '人力资源部', 2, TRUE, 'general', FALSE, FALSE),\n    ('李四的财务备忘', '李四个人的财务工作备忘', '财务部', 3, TRUE, 'general', FALSE, FALSE);\n\n-- 文档数据\nINSERT INTO documents (knowledge_base_id, filename, file_path, file_type, size, chunk_count, status, uploaded_by, audit_status) VALUES\n    (1, '员工手册.pdf', '/uploads/employee_handbook.pdf', 'pdf', 2048576, 120, 'completed', 1, 'passed'),\n    (1, '考勤管理制度.docx', '/uploads/attendance_policy.docx', 'docx', 524288, 35, 'completed', 1, 'passed'),\n    (1, '薪酬福利制度.pdf', '/uploads/compensation_policy.pdf', 'pdf', 1048576, 60, 'completed', 1, 'passed'),\n    (2, 'API接口文档.pdf', '/uploads/api_docs.pdf', 'pdf', 3145728, 200, 'completed', 1, 'passed'),\n    (2, '系统架构说明.docx', '/uploads/architecture.docx', 'docx', 1572864, 80, 'completed', 1, 'passed'),\n    (3, '场地预约指南.pdf', '/uploads/venue_guide.pdf', 'pdf', 786432, 25, 'completed', 1, 'passed'),\n    (3, 'IT设备申领流程.docx', '/uploads/it_equipment.docx', 'docx', 262144, 15, 'completed', 1, 'passed'),\n    (4, '公司简介.pdf', '/uploads/company_intro.pdf', 'pdf', 524288, 30, 'completed', 1, 'passed'),\n    (5, 'Python学习笔记.pdf', '/uploads/python_notes.pdf', 'pdf', 1048576, 50, 'completed', 2, 'passed'),\n    (1, '违规文档.docx', '/uploads/violation.docx', 'docx', 102400, 0, 'rejected', 2, 'rejected');\n\n-- 内容审核日志数据\nINSERT INTO content_audit_logs (document_id, filename, knowledge_base_id, user_id, verdict, confidence, categories, reasons, summary, status) VALUES\n    (1, '员工手册.pdf', 1, 1, 'PASS', 0.85, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (2, '考勤管理制度.docx', 1, 1, 'PASS', 0.90, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (3, '薪酬福利制度.pdf', 1, 1, 'PASS', 0.88, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (4, 'API接口文档.pdf', 2, 1, 'PASS', 0.92, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (5, '系统架构说明.docx', 2, 1, 'PASS', 0.87, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (6, '场地预约指南.pdf', 3, 1, 'PASS', 0.91, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (7, 'IT设备申领流程.docx', 3, 1, 'PASS', 0.89, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (8, '公司简介.pdf', 4, 1, 'PASS', 0.93, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (9, 'Python学习笔记.pdf', 5, 2, 'PASS', 0.86, '[]'::jsonb, '[]'::jsonb, '文档内容合规，未发现敏感信息', 'auto_processed'),\n    (10, '违规文档.docx', 1, 2, 'BLOCK', 0.95, '[\"商业机密\",\"个人隐私\"]'::jsonb, '[\"包含公司内部源代码\",\"包含员工身份证号\"]'::jsonb, '文档包含商业机密和个人隐私信息，已被拒绝', 'auto_processed');\n\n-- 对话记录数据\nINSERT INTO conversation_logs (conversation_id, user_id, query, answer, sources, knowledge_base_ids, module) VALUES\n    ('conv-001', 2, '公司年假有多少天？', '根据公司《员工手册》规定：\n\n- 工作满1年不满10年：5天年假\n- 工作满10年不满20年：10天年假\n- 工作满20年以上：15天年假\n\n年假需在当年使用完毕，特殊情况可申请跨年度使用。', '[{\"title\":\"员工手册.pdf\",\"page\":15,\"snippet\":\"年假天数根据工龄计算...\"}]'::jsonb, '[1]'::jsonb, 'policy'),\n    ('conv-001', 2, '怎么申请年假？', '年假申请流程如下：\n\n1. 登录OA系统，进入\"请假申请\"模块\n2. 选择\"年假\"类型，填写起止日期\n3. 提交后由直属领导审批\n4. 审批通过后自动同步到考勤系统\n\n注意：需提前3个工作日申请。', '[{\"title\":\"员工手册.pdf\",\"page\":16,\"snippet\":\"年假申请需提前3个工作日...\"}]'::jsonb, '[1]'::jsonb, 'policy'),\n    ('conv-002', 3, '报销流程是什么？', '报销流程如下：\n\n1. 收集发票和消费凭证\n2. 填写报销单（OA系统-财务模块）\n3. 直属领导审批\n4. 财务部审核\n5. 每月15日和30日统一打款\n\n报销时限：消费发生后30天内。', '[{\"title\":\"员工手册.pdf\",\"page\":28,\"snippet\":\"报销流程及注意事项...\"}]'::jsonb, '[1]'::jsonb, 'policy'),\n    ('conv-003', 4, 'API认证方式是什么？', '我们的API采用JWT Token认证方式：\n\n1. 调用 /api/auth/login 获取Token\n2. 在请求头中添加 Authorization: Bearer <token>\n3. Token有效期30分钟，过期需重新登录\n\n详细文档请参考《API接口文档》第3章。', '[{\"title\":\"API接口文档.pdf\",\"page\":12,\"snippet\":\"JWT认证机制说明...\"}]'::jsonb, '[2]'::jsonb, 'tech'),\n    ('conv-004', 2, '今天天气怎么样？', '抱歉，我无法直接获取天气信息。但我可以帮您搜索一下。\n\n根据搜索结果，今天北京天气：晴转多云，气温18℃~28℃，空气质量良好。适合户外活动。', '[]'::jsonb, '[4]'::jsonb, 'general'),\n    ('conv-005', 3, '帮我写一份会议纪要模板', '以下是一份标准的会议纪要模板：\n\n---\n# 会议纪要\n\n**会议主题：**\n**会议时间：**\n**会议地点：**\n**参会人员：**\n**记录人：**\n\n## 会议议程\n1.\n2.\n\n## 讨论内容\n...\n\n## 决议事项\n| 序号 | 事项 | 负责人 | 完成时间 |\n|------|------|--------|----------|\n\n---\n\n需要我帮您生成Word文档吗？', '[]'::jsonb, '[4]'::jsonb, 'general');\n\n-- 系统配置数据\nINSERT INTO system_config (key, value, description) VALUES\n    ('llm_model', 'deepseek-chat', '默认使用的LLM模型'),\n    ('llm_api_base', 'https://api.deepseek.com/v1', 'LLM API地址'),\n    ('llm_api_key', 'sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx', 'LLM API密钥（已脱敏）'),\n    ('embedding_model', 'qwen3-embedding:0.6b', '向量嵌入模型'),\n    ('opensearch_host', 'http://localhost:9200', 'OpenSearch地址'),\n    ('redis_host', 'localhost', 'Redis地址'),\n    ('redis_port', '6379', 'Redis端口'),\n    ('jwt_secret_key', 'your-secret-key-change-in-production', 'JWT签名密钥'),\n    ('jwt_algorithm', 'HS256', 'JWT签名算法'),\n    ('jwt_expire_minutes', '30', 'JWT Token有效期（分钟）'),\n    ('chunk_size', '500', '文本切片大小'),\n    ('chunk_overlap', '50', '文本切片重叠大小'),\n    ('top_k', '5', 'RAG检索返回的文档数量'),\n    ('rerank_model', 'bge-reranker-v2-m3', 'Rerank精排模型'),\n    ('max_iterations', '10', 'LangGraph最大迭代次数'),\n    ('content_moderation_enabled', 'true', '是否启用内容审核'),\n    ('web_search_enabled', 'true', '是否启用联网搜索'),\n    ('tavily_api_key', 'tvly-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx', 'Tavily搜索API密钥（已脱敏）');\n\n-- 用户反馈数据\nINSERT INTO feedback (conversation_id, message_id, user_id, rating, correction) VALUES\n    ('conv-001', 'msg-001', 2, 5, NULL),\n    ('conv-001', 'msg-002', 2, 5, NULL),\n    ('conv-002', 'msg-003', 3, 4, '报销时限应该是60天而不是30天'),\n    ('conv-003', 'msg-004', 4, 5, NULL),\n    ('conv-004', 'msg-005', 2, 3, '天气信息不够准确，建议接入实时天气API'),\n    ('conv-005', 'msg-006', 3, 5, '会议纪要模板很实用');\n\n-- 对话收藏数据\nINSERT INTO conversation_favorites (conversation_id, message_id, user_id, title, query, answer, module) VALUES\n    ('conv-001', 'msg-001', 2, '年假天数查询', '公司年假有多少天？', '根据公司《员工手册》规定：工作满1年不满10年5天，满10年不满20年10天，满20年以上15天。', 'policy'),\n    ('conv-003', 'msg-004', 4, 'API认证方式', 'API认证方式是什么？', 'API采用JWT Token认证，调用/login获取Token，有效期30分钟。', 'tech'),\n    ('conv-005', 'msg-006', 3, '会议纪要模板', '帮我写一份会议纪要模板', '标准会议纪要模板，包含会议主题、时间、地点、参会人员、议程、讨论内容、决议事项等。', 'general');\n\n-- ============================================================\n-- 第三部分: 常用查询示例\n-- ============================================================\n\n-- 查询所有知识库及其文档数量\n-- SELECT kb.name, kb.module, COUNT(d.id) AS doc_count\n-- FROM knowledge_bases kb\n-- LEFT JOIN documents d ON kb.id = d.knowledge_base_id AND d.status = 'completed'\n-- GROUP BY kb.id;\n\n-- 查询用户的对话记录\n-- SELECT cl.query, cl.answer, cl.module, cl.created_at\n-- FROM conversation_logs cl\n-- WHERE cl.user_id = 2\n-- ORDER BY cl.created_at DESC;\n\n-- 查询审核被拒绝的文档\n-- SELECT d.filename, d.rejection_reason, cal.verdict, cal.confidence, cal.reasons\n-- FROM documents d\n-- JOIN content_audit_logs cal ON d.audit_id = cal.id\n-- WHERE cal.verdict = 'BLOCK';\n\n-- 查询各模块的对话统计\n-- SELECT module, COUNT(*) AS total_queries, AVG(LENGTH(answer)) AS avg_answer_length\n-- FROM conversation_logs\n-- GROUP BY module;\n\n-- 查询用户收藏的对话\n-- SELECT cf.title, cf.query, cf.module, cf.created_at\n-- FROM conversation_favorites cf\n-- WHERE cf.user_id = 2\n-- ORDER BY cf.created_at DESC;"}}, "backend/.env.example": {"e17337723a0e6516350f703e0202a31a3c33b80f": {"t": 1785746736.7755864, "n": 890, "h": "7d7d03c3a7e1a441", "c": "# LLM 配置\nLLM_MODE=local\nOLLAMA_MODEL=qwen3.5:9b\nOLLAMA_BASE_URL=http://localhost:11434\n\n# DeepSeek API 配置\nDEEPSEEK_API_KEY=your-deepseek-api-key-here\nDEEPSEEK_BASE_URL=https://api.deepseek.com\n\n# JWT 密钥\nJWT_SECRET_KEY=your-jwt-secret-key-change-in-production\n\n# Embedding 模型\nEMBED_MODEL=qwen3-embedding:0.6b\n\n# PostgreSQL 配置\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\nPOSTGRES_DB=rag_db\nPOSTGRES_USER=postgres\nPOSTGRES_PASSWORD=MyPassword123!\n\n# OpenSearch 配置\nOPENSEARCH_HOST=https://localhost:9200\nOPENSEARCH_USER=admin\nOPENSEARCH_PASSWORD=MyPassword123!\n\n# Redis 配置\nREDIS_HOST=localhost\nREDIS_PORT=6379\n\n# SearXNG 配置\nSEARXNG_HOST=http://localhost:18080\nSEARXNG_SECRET=your-random-secret-key-change-this\n\n# MinerU API 配置\nMINERU_HOST=http://127.0.0.1:8000\n\n# 文本切片配置\nCHUNK_SIZE=500\nCHUNK_OVERLAP=100\n\n# 检索配置\nTOP_K=5\nWEB_SEARCH_COUNT=3\n\n# 对话历史\nHISTORY_TURNS=10\n\n# LLM 推理超时（秒）\nLLM_TIMEOUT=600\n"}, "aa39b74bc6403d764d5d18f91ae97cbdb35dbb66": {"t": 1785765494.9310665, "n": 890, "h": "7d7d03c3a7e1a441", "c": "# LLM 配置\nLLM_MODE=local\nOLLAMA_MODEL=qwen3.5:9b\nOLLAMA_BASE_URL=http://localhost:11434\n\n# DeepSeek API 配置\nDEEPSEEK_API_KEY=your-deepseek-api-key-here\nDEEPSEEK_BASE_URL=https://api.deepseek.com\n\n# JWT 密钥\nJWT_SECRET_KEY=your-jwt-secret-key-change-in-production\n\n# Embedding 模型\nEMBED_MODEL=qwen3-embedding:0.6b\n\n# PostgreSQL 配置\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\nPOSTGRES_DB=rag_db\nPOSTGRES_USER=postgres\nPOSTGRES_PASSWORD=MyPassword123!\n\n# OpenSearch 配置\nOPENSEARCH_HOST=https://localhost:9200\nOPENSEARCH_USER=admin\nOPENSEARCH_PASSWORD=MyPassword123!\n\n# Redis 配置\nREDIS_HOST=localhost\nREDIS_PORT=6379\n\n# SearXNG 配置\nSEARXNG_HOST=http://localhost:18080\nSEARXNG_SECRET=your-random-secret-key-change-this\n\n# MinerU API 配置\nMINERU_HOST=http://127.0.0.1:8000\n\n# 文本切片配置\nCHUNK_SIZE=500\nCHUNK_OVERLAP=100\n\n# 检索配置\nTOP_K=5\nWEB_SEARCH_COUNT=3\n\n# 对话历史\nHISTORY_TURNS=10\n\n# LLM 推理超时（秒）\nLLM_TIMEOUT=600\n"}, "2facdc1348d3e8f5a5b339a72dee42436cce2da1": {"t": 1785765496.2861958, "n": 888, "h": "b89d2f07e4a8f845", "c": "# LLM 配置\nLLM_MODE=local\nOLLAMA_MODEL=qwen3.5:9b\nOLLAMA_BASE_URL=http://localhost:11434\n\n# DeepSeek API 配置\nDEEPSEEK_API_KEY=your-deepseek-api-key-here\nDEEPSEEK_BASE_URL=https://api.deepseek.com\n\n# JWT 密钥\nJWT_SECRET_KEY=your-jwt-secret-key-change-in-production\n\n# Embedding 模型\nEMBED_MODEL=qwen3-embedding:4b\n\n# PostgreSQL 配置\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\nPOSTGRES_DB=rag_db\nPOSTGRES_USER=postgres\nPOSTGRES_PASSWORD=MyPassword123!\n\n# OpenSearch 配置\nOPENSEARCH_HOST=https://localhost:9200\nOPENSEARCH_USER=admin\nOPENSEARCH_PASSWORD=MyPassword123!\n\n# Redis 配置\nREDIS_HOST=localhost\nREDIS_PORT=6379\n\n# SearXNG 配置\nSEARXNG_HOST=http://localhost:18080\nSEARXNG_SECRET=your-random-secret-key-change-this\n\n# MinerU API 配置\nMINERU_HOST=http://127.0.0.1:8000\n\n# 文本切片配置\nCHUNK_SIZE=500\nCHUNK_OVERLAP=100\n\n# 检索配置\nTOP_K=5\nWEB_SEARCH_COUNT=3\n\n# 对话历史\nHISTORY_TURNS=10\n\n# LLM 推理超时（秒）\nLLM_TIMEOUT=600\n"}, "d444073f37ba283a997bb4c308a8176880a92f5d": {"t": 1785765497.590361, "n": 896, "h": "2af842898f2da630", "c": "# LLM 配置\nLLM_MODE=local\nOLLAMA_MODEL=qwen3.5:9b\nOLLAMA_BASE_URL=http://localhost:11434\n\n# DeepSeek API 配置\nDEEPSEEK_API_KEY=your-deepseek-api-key-here\nDEEPSEEK_BASE_URL=https://api.deepseek.com\n\n# JWT 密钥\nJWT_SECRET_KEY=your-jwt-secret-key-change-in-production\n\n# Embedding 模型\nEMBEDDING_MODEL=BAAI/bge-small-zh-v1.5\n\n# PostgreSQL 配置\nPOSTGRES_HOST=localhost\nPOSTGRES_PORT=5432\nPOSTGRES_DB=rag_db\nPOSTGRES_USER=postgres\nPOSTGRES_PASSWORD=MyPassword123!\n\n# OpenSearch 配置\nOPENSEARCH_HOST=https://localhost:9200\nOPENSEARCH_USER=admin\nOPENSEARCH_PASSWORD=MyPassword123!\n\n# Redis 配置\nREDIS_HOST=localhost\nREDIS_PORT=6379\n\n# SearXNG 配置\nSEARXNG_HOST=http://localhost:18080\nSEARXNG_SECRET=your-random-secret-key-change-this\n\n# MinerU API 配置\nMINERU_HOST=http://127.0.0.1:8000\n\n# 文本切片配置\nCHUNK_SIZE=500\nCHUNK_OVERLAP=100\n\n# 检索配置\nTOP_K=5\nWEB_SEARCH_COUNT=3\n\n# 对话历史\nHISTORY_TURNS=10\n\n# LLM 推理超时（秒）\nLLM_TIMEOUT=600\n"}}, "backend/docker-compose.yml": {"e17337723a0e6516350f703e0202a31a3c33b80f": {"t": 1786068533.1997807, "n": 3031, "h": "f77c7b73a8e4a329", "c": "version: '3.8'\n\nservices:\n  postgres:\n    image: pgvector/pgvector:pg17\n    container_name: pg-vector\n    environment:\n      - POSTGRES_PASSWORD=MyPassword123!\n      - POSTGRES_DB=rag_db\n      - POSTGRES_USER=postgres\n    ports:\n      - \"5432:5432\"\n    volumes:\n      - postgres-data:/var/lib/postgresql/data\n    networks:\n      - rag-network\n    healthcheck:\n      test: [\"CMD-SHELL\", \"pg_isready -U postgres -d rag_db\"]\n      interval: 10s\n      timeout: 5s\n      retries: 3\n\n  opensearch:\n    image: opensearchproject/opensearch:2.15.0\n    container_name: opensearch\n    environment:\n      - discovery.type=single-node\n      - plugins.security.disabled=true\n      - OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx512m\n    ports:\n      - \"9200:9200\"\n      - \"9600:9600\"\n    volumes:\n      - opensearch-data:/usr/share/opensearch/data\n    networks:\n      - rag-network\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:9200/_cluster/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n\n  redis:\n    image: redis:7-alpine\n    container_name: redis\n    ports:\n      - \"6379:6379\"\n    volumes:\n      - redis-data:/data\n    networks:\n      - rag-network\n    healthcheck:\n      test: [\"CMD\", \"redis-cli\", \"ping\"]\n      interval: 10s\n      timeout: 5s\n      retries: 3\n\n  searxng:\n    image: searxng/searxng:latest\n    container_name: searxng\n    ports:\n      - \"18080:8080\"\n    volumes:\n      - ./searxng-settings.yml:/etc/searxng/settings.yml:ro\n      - searxng-data:/etc/searxng\n      - searxng-log:/var/log/searxng\n    networks:\n      - rag-network\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:8080/\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n\n  rag-app:\n    build: .\n    container_name: rag-app\n    ports:\n      - \"8888:8888\"\n    environment:\n      - POSTGRES_HOST=postgres\n      - POSTGRES_PORT=5432\n      - POSTGRES_DB=rag_db\n      - POSTGRES_USER=postgres\n      - POSTGRES_PASSWORD=MyPassword123!\n      - OPENSEARCH_HOST=http://opensearch:9200\n      - OPENSEARCH_USER=admin\n      - OPENSEARCH_PASSWORD=\n      - OLLAMA_HOST=http://host.docker.internal:11434\n      - DEEPSEEK_API_KEY=your-deepseek-api-key\n      - DEEPSEEK_BASE_URL=https://api.deepseek.com\n      - SEARXNG_HOST=http://searxng:8080\n      - SEARXNG_SECRET=your-random-secret-key-change-this\n      - MINERU_HOST=http://host.docker.internal:8000\n      - REDIS_HOST=redis\n      - REDIS_PORT=6379\n    volumes:\n      - ./knowledge_base:/app/knowledge_base\n      - ./uploads:/app/uploads\n    extra_hosts:\n      - \"host.docker.internal:host-gateway\"\n    depends_on:\n      postgres:\n        condition: service_healthy\n      opensearch:\n        condition: service_healthy\n      redis:\n        condition: service_healthy\n      searxng:\n        condition: service_healthy\n    networks:\n      - rag-network\n    command: [\"uvicorn\", \"main:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8888\"]\n\nvolumes:\n  postgres-data:\n  opensearch-data:\n  redis-data:\n  searxng-data:\n  searxng-log:\n\nnetworks:\n  rag-network:\n    driver: bridge\n"}}}}