forked from xiaohei/taiji-AI-PAD
feat: 完成taiji-AI-PAD核心架构和代码实现
✨ 新功能: - 实现五层技术架构的容器化部署 - 完成MCP Server核心服务 (Python/FastAPI) - 实现数据接入服务框架 (RapidAPI/APILLAMA) - 配置LiteLLM模型网关 (100+模型支持) - 设置完整的监控体系 (Prometheus/Grafana) 🏗️ 基础设施: - Docker Compose编排配置 - Nginx API网关 - PostgreSQL + Redis + NATS - 完整的启动/停止/测试脚本 📚 文档: - 工程排期计划 - 任务拆分与分工 - 系统运作流程图 - 项目开发状态文档 🔧 开发工具: - 容器化开发环境 - 自动化测试脚本 - API文档自动生成 - 健康检查机制 该提交包含了约60%的项目核心功能实现，可以进行基础的Agent管理和MCP协议通信。
This commit is contained in:
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-- taiji-AI-PAD 数据库初始化脚本
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-- 创建扩展
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CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
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CREATE EXTENSION IF NOT EXISTS "pg_trgm";
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-- 创建数据库（如果不存在）
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-- 注意：在Docker初始化脚本中，数据库已经存在
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-- 设置时区
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SET timezone = 'UTC';
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-- 创建一些基础索引（如果表已存在的话，模型会自动创建）
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-- 这里可以添加一些额外的性能优化索引
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-- 创建全文搜索配置
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CREATE TEXT SEARCH CONFIGURATION IF NOT EXISTS simple_english (COPY = english);
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-- 创建一些有用的函数
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CREATE OR REPLACE FUNCTION update_updated_at_column()
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RETURNS TRIGGER AS $$
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BEGIN
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NEW.updated_at = NOW();
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RETURN NEW;
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END;
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$$ language 'plpgsql';
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-- 日志表（用于审计和调试）
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CREATE TABLE IF NOT EXISTS system_logs (
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id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
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level VARCHAR(20) NOT NULL,
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service VARCHAR(50) NOT NULL,
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message TEXT NOT NULL,
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context JSONB,
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created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
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);
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CREATE INDEX IF NOT EXISTS idx_system_logs_service ON system_logs(service);
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CREATE INDEX IF NOT EXISTS idx_system_logs_level ON system_logs(level);
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CREATE INDEX IF NOT EXISTS idx_system_logs_created ON system_logs(created_at);
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-- 配置表
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CREATE TABLE IF NOT EXISTS system_config (
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key VARCHAR(100) PRIMARY KEY,
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value JSONB NOT NULL,
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description TEXT,
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created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
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updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
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);
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-- 创建触发器
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CREATE TRIGGER update_system_config_updated_at
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BEFORE UPDATE ON system_config
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FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
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-- 插入初始配置
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INSERT INTO system_config (key, value, description) VALUES
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('app_version', '"1.0.0"', 'Application version'),
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('maintenance_mode', 'false', 'Maintenance mode flag'),
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('max_api_calls_per_minute', '1000', 'Maximum API calls per minute'),
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('default_timeout', '30', 'Default timeout in seconds')
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ON CONFLICT (key) DO NOTHING;
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-- 性能优化设置
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-- 注意：这些设置可能需要根据实际硬件调整
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ALTER SYSTEM SET shared_preload_libraries = 'pg_stat_statements';
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ALTER SYSTEM SET max_connections = 200;
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ALTER SYSTEM SET shared_buffers = '256MB';
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ALTER SYSTEM SET effective_cache_size = '1GB';
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ALTER SYSTEM SET maintenance_work_mem = '64MB';
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ALTER SYSTEM SET checkpoint_completion_target = 0.9;
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ALTER SYSTEM SET wal_buffers = '16MB';
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ALTER SYSTEM SET default_statistics_target = 100;
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ALTER SYSTEM SET random_page_cost = 1.1;
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ALTER SYSTEM SET effective_io_concurrency = 200;
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ALTER SYSTEM SET work_mem = '4MB';
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ALTER SYSTEM SET min_wal_size = '1GB';
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ALTER SYSTEM SET max_wal_size = '4GB';
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-- 创建监控视图
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CREATE OR REPLACE VIEW system_stats AS
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SELECT
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schemaname,
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tablename,
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attname,
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n_distinct,
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correlation
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FROM pg_stats
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WHERE schemaname = 'public';
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-- 创建连接监控视图
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CREATE OR REPLACE VIEW connection_stats AS
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SELECT
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datname,
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numbackends,
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xact_commit,
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xact_rollback,
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blks_read,
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blks_hit,
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tup_returned,
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tup_fetched,
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tup_inserted,
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tup_updated,
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tup_deleted
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FROM pg_stat_database
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WHERE datname = current_database();
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Executable
+168
@@ -0,0 +1,168 @@
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#!/bin/bash
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# taiji-AI-PAD 启动脚本
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set -e
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echo "🚀 启动 taiji-AI-PAD 平台..."
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# 检查Docker是否运行
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if ! docker info >/dev/null 2>&1; then
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echo "❌ Docker 未运行，请先启动Docker"
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exit 1
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fi
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# 检查Docker Compose是否可用
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if ! command -v docker-compose >/dev/null 2>&1; then
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echo "❌ Docker Compose 未找到，请安装Docker Compose"
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exit 1
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fi
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# 创建必要的目录
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echo "📁 创建必要的目录..."
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mkdir -p logs
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mkdir -p config/ssl
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mkdir -p services/model-gateway/config
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mkdir -p services/data-ingestion/models
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mkdir -p services/data-ingestion/cache
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# 设置环境变量（如果.env文件不存在）
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if [ ! -f .env ]; then
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echo "⚙️ 创建环境配置文件..."
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cat > .env << EOF
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# 环境设置
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ENVIRONMENT=development
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# 数据库设置
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POSTGRES_DB=taiji_db
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POSTGRES_USER=taiji_user
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POSTGRES_PASSWORD=taiji_pass
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DATABASE_URL=postgresql+asyncpg://taiji_user:taiji_pass@postgres:5432/taiji_db
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# Redis设置
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REDIS_URL=redis://redis:6379
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# NATS设置
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NATS_URL=nats://nats:4222
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# LiteLLM设置
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LITELLM_MASTER_KEY=sk-taiji-master-key
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LITELLM_URL=http://litellm-gateway:4000
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# RapidAPI设置（需要实际的API Key）
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RAPIDAPI_KEY=your-rapidapi-key-here
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RAPIDAPI_HOST=rapidapi.com
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# APILLAMA模型设置
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APILLAMA_MODEL_PATH=/app/models/llama-3-8b-instruct
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APILLAMA_DEVICE=cpu
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EOF
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echo "✅ 环境配置文件已创建，请根据需要修改 .env 文件"
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fi
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# 检查必要的配置文件
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if [ ! -f config/nginx.conf ]; then
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echo "❌ Nginx配置文件未找到：config/nginx.conf"
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exit 1
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fi
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if [ ! -f scripts/init.sql ]; then
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echo "❌ 数据库初始化脚本未找到：scripts/init.sql"
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exit 1
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fi
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# 拉取基础镜像
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echo "⬇️ 拉取基础镜像..."
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docker-compose pull postgres redis nats prometheus grafana nginx
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# 构建服务镜像
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echo "🏗️ 构建服务镜像..."
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docker-compose build
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# 启动基础设施服务
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echo "🗄️ 启动基础设施服务..."
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docker-compose up -d postgres redis nats
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# 等待数据库就绪
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echo "⏳ 等待数据库就绪..."
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sleep 10
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# 检查数据库连接
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echo "🔍 检查数据库连接..."
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until docker-compose exec -T postgres pg_isready -U taiji_user -d taiji_db; do
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echo "等待数据库..."
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sleep 2
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done
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# 启动应用服务
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echo "🚀 启动应用服务..."
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docker-compose up -d
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# 等待服务启动
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echo "⏳ 等待服务启动..."
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sleep 15
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# 检查服务状态
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echo "🔍 检查服务状态..."
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docker-compose ps
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# 健康检查
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echo "🏥 执行健康检查..."
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services=("mcp-server:8002" "data-ingestion:8001" "agent-registry:8003" "billing-engine:8004")
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for service in "${services[@]}"; do
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service_name=$(echo $service | cut -d':' -f1)
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port=$(echo $service | cut -d':' -f2)
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echo "检查 $service_name..."
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if curl -f -s http://localhost:$port/health > /dev/null; then
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echo "✅ $service_name 健康"
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else
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echo "⚠️ $service_name 可能未就绪"
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fi
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done
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# 显示访问信息
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echo ""
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echo "🎉 taiji-AI-PAD 启动完成！"
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echo ""
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echo "📊 服务访问地址："
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echo " • API网关: http://localhost"
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echo " • MCP服务器: http://localhost:8002"
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echo " • 数据接入服务: http://localhost:8001"
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echo " • Agent注册中心: http://localhost:8003"
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echo " • 计费引擎: http://localhost:8004"
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echo " • LiteLLM网关: http://localhost:4000"
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echo ""
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echo "📈 监控服务："
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echo " • Grafana: http://localhost:3000 (admin/admin)"
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echo " • Prometheus: http://localhost:9090"
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echo ""
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echo "🗄️ 数据库服务："
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echo " • PostgreSQL: localhost:5432"
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echo " • Redis: localhost:6379"
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echo " • NATS: localhost:4222"
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echo ""
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echo "📚 API文档："
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echo " • MCP服务器: http://localhost:8002/docs"
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echo " • 数据接入服务: http://localhost:8001/docs"
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echo ""
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echo "🔧 管理命令："
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echo " • 查看日志: docker-compose logs -f [服务名]"
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echo " • 停止服务: docker-compose down"
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echo " • 重启服务: docker-compose restart [服务名]"
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echo ""
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# 开发环境提示
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if [ "$ENVIRONMENT" = "development" ]; then
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echo "🔧 开发环境提示："
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echo " • 代码变更会自动重载"
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echo " • 日志级别设置为DEBUG"
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echo " • 请确保修改.env文件中的API密钥"
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echo ""
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fi
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echo "🎯 接下来您可以："
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echo " 1. 访问 http://localhost:8002/docs 查看MCP API文档"
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echo " 2. 使用 scripts/test.sh 运行测试"
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echo " 3. 查看 docs/ 目录了解更多使用方法"
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Executable
+57
@@ -0,0 +1,57 @@
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#!/bin/bash
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# taiji-AI-PAD 停止脚本
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set -e
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echo "🛑 停止 taiji-AI-PAD 平台..."
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# 检查Docker Compose是否可用
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if ! command -v docker-compose >/dev/null 2>&1; then
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echo "❌ Docker Compose 未找到"
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exit 1
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fi
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# 显示当前运行的服务
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echo "📋 当前运行的服务："
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docker-compose ps
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# 停止所有服务
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echo "⏹️ 停止所有服务..."
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docker-compose down
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# 可选：清理数据卷（谨慎使用）
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if [ "$1" = "--clean" ]; then
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echo "🧹 清理数据卷..."
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read -p "⚠️ 这将删除所有数据，是否继续？ (y/N): " -n 1 -r
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echo
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if [[ $REPLY =~ ^[Yy]$ ]]; then
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docker-compose down -v
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docker system prune -f
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echo "✅ 数据卷已清理"
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else
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echo "❌ 已取消清理操作"
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fi
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fi
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# 可选：清理镜像
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if [ "$1" = "--clean-all" ]; then
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echo "🧹 清理镜像和数据..."
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read -p "⚠️ 这将删除所有镜像和数据，是否继续？ (y/N): " -n 1 -r
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echo
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if [[ $REPLY =~ ^[Yy]$ ]]; then
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docker-compose down -v --rmi all
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docker system prune -a -f
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echo "✅ 镜像和数据已清理"
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else
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echo "❌ 已取消清理操作"
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fi
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fi
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echo ""
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echo "✅ taiji-AI-PAD 已停止"
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echo ""
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echo "💡 清理选项："
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echo " • 清理数据卷: ./scripts/stop.sh --clean"
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echo " • 清理所有数据: ./scripts/stop.sh --clean-all"
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echo " • 重新启动: ./scripts/start.sh"
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Executable
+242
@@ -0,0 +1,242 @@
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#!/bin/bash
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# taiji-AI-PAD 测试脚本
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set -e
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|
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echo "🧪 开始测试 taiji-AI-PAD 平台..."
|
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|
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# 检查服务是否运行
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check_service() {
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local service_name=$1
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local url=$2
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local expected_status=${3:-200}
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echo "🔍 检查 $service_name..."
|
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if curl -s -o /dev/null -w "%{http_code}" "$url" | grep -q "$expected_status"; then
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echo "✅ $service_name 正常运行"
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return 0
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else
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echo "❌ $service_name 无响应"
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return 1
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fi
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}
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|
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# 测试API端点
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test_api_endpoint() {
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local name=$1
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local url=$2
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local method=${3:-GET}
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local data=${4:-""}
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echo "🧪 测试 $name..."
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|
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if [ -n "$data" ]; then
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response=$(curl -s -X "$method" -H "Content-Type: application/json" -d "$data" "$url" 2>/dev/null || echo "ERROR")
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else
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response=$(curl -s -X "$method" "$url" 2>/dev/null || echo "ERROR")
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||||
fi
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||||
if [ "$response" = "ERROR" ]; then
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echo "❌ $name 测试失败"
|
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return 1
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||||
else
|
||||
echo "✅ $name 测试通过"
|
||||
if command -v jq >/dev/null 2>&1; then
|
||||
echo " 响应: $(echo "$response" | jq -c . 2>/dev/null || echo "$response")"
|
||||
else
|
||||
echo " 响应: $response"
|
||||
fi
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||||
return 0
|
||||
fi
|
||||
}
|
||||
|
||||
# 等待服务启动
|
||||
wait_for_services() {
|
||||
echo "⏳ 等待服务启动..."
|
||||
sleep 5
|
||||
|
||||
local max_attempts=30
|
||||
local attempt=1
|
||||
|
||||
while [ $attempt -le $max_attempts ]; do
|
||||
if curl -s http://localhost:8002/health > /dev/null 2>&1; then
|
||||
echo "✅ 服务已就绪"
|
||||
break
|
||||
fi
|
||||
|
||||
echo "等待中... ($attempt/$max_attempts)"
|
||||
sleep 2
|
||||
((attempt++))
|
||||
done
|
||||
|
||||
if [ $attempt -gt $max_attempts ]; then
|
||||
echo "❌ 服务启动超时"
|
||||
exit 1
|
||||
fi
|
||||
}
|
||||
|
||||
# 主测试流程
|
||||
main() {
|
||||
echo "🚀 taiji-AI-PAD 平台测试"
|
||||
echo "========================"
|
||||
|
||||
# 等待服务启动
|
||||
wait_for_services
|
||||
|
||||
# 基础健康检查
|
||||
echo ""
|
||||
echo "📋 基础健康检查"
|
||||
echo "----------------"
|
||||
|
||||
local services=(
|
||||
"MCP服务器:http://localhost:8002/health"
|
||||
"数据接入服务:http://localhost:8001/health"
|
||||
"API网关:http://localhost/health"
|
||||
)
|
||||
|
||||
local failed_services=0
|
||||
|
||||
for service_info in "${services[@]}"; do
|
||||
IFS=':' read -r name url <<< "$service_info"
|
||||
if ! check_service "$name" "$url"; then
|
||||
((failed_services++))
|
||||
fi
|
||||
done
|
||||
|
||||
# API功能测试
|
||||
echo ""
|
||||
echo "🔧 API功能测试"
|
||||
echo "---------------"
|
||||
|
||||
local api_tests=(
|
||||
"MCP服务器健康检查:http://localhost:8002/health:GET"
|
||||
"数据接入服务健康检查:http://localhost:8001/health:GET"
|
||||
"MCP工具列表:http://localhost:8002/tools:GET"
|
||||
"数据接入统计:http://localhost:8001/stats:GET"
|
||||
)
|
||||
|
||||
local failed_tests=0
|
||||
|
||||
for test_info in "${api_tests[@]}"; do
|
||||
IFS=':' read -r name url method <<< "$test_info"
|
||||
if ! test_api_endpoint "$name" "$url" "$method"; then
|
||||
((failed_tests++))
|
||||
fi
|
||||
done
|
||||
|
||||
# Agent创建测试
|
||||
echo ""
|
||||
echo "🤖 Agent创建测试"
|
||||
echo "----------------"
|
||||
|
||||
local agent_data='{
|
||||
"name": "test-agent",
|
||||
"description": "测试Agent",
|
||||
"role": "测试助手",
|
||||
"goal": "执行测试任务",
|
||||
"tools": ["web_search"],
|
||||
"config": {}
|
||||
}'
|
||||
|
||||
if test_api_endpoint "创建Agent" "http://localhost:8002/agents" "POST" "$agent_data"; then
|
||||
echo "🎉 Agent创建测试通过"
|
||||
else
|
||||
echo "❌ Agent创建测试失败"
|
||||
((failed_tests++))
|
||||
fi
|
||||
|
||||
# MCP协议测试
|
||||
echo ""
|
||||
echo "🔗 MCP协议测试"
|
||||
echo "--------------"
|
||||
|
||||
local mcp_request='{
|
||||
"jsonrpc": "2.0",
|
||||
"id": "test-1",
|
||||
"method": "tools/list",
|
||||
"params": {}
|
||||
}'
|
||||
|
||||
if test_api_endpoint "MCP工具列表" "http://localhost:8002/agents/test-agent/execute" "POST" "$mcp_request"; then
|
||||
echo "🎉 MCP协议测试通过"
|
||||
else
|
||||
echo "❌ MCP协议测试失败"
|
||||
((failed_tests++))
|
||||
fi
|
||||
|
||||
# 性能测试
|
||||
echo ""
|
||||
echo "⚡ 简单性能测试"
|
||||
echo "---------------"
|
||||
|
||||
echo "🔄 并发请求测试..."
|
||||
local start_time=$(date +%s%N)
|
||||
|
||||
for i in {1..10}; do
|
||||
curl -s http://localhost:8002/health > /dev/null &
|
||||
done
|
||||
wait
|
||||
|
||||
local end_time=$(date +%s%N)
|
||||
local duration=$((($end_time - $start_time) / 1000000))
|
||||
|
||||
echo "✅ 10个并发请求耗时: ${duration}ms"
|
||||
|
||||
# 负载测试（如果安装了ab）
|
||||
if command -v ab >/dev/null 2>&1; then
|
||||
echo "🚀 负载测试 (100个请求，并发10)..."
|
||||
ab -n 100 -c 10 -q http://localhost:8002/health | grep -E "(Requests per second|Time per request)"
|
||||
else
|
||||
echo "💡 提示: 安装 apache2-utils 可进行更详细的性能测试"
|
||||
fi
|
||||
|
||||
# 测试报告
|
||||
echo ""
|
||||
echo "📊 测试报告"
|
||||
echo "==========="
|
||||
|
||||
local total_services=${#services[@]}
|
||||
local total_tests=$((${#api_tests[@]} + 2)) # API测试 + Agent创建 + MCP协议
|
||||
|
||||
echo "服务检查: $((total_services - failed_services))/$total_services 通过"
|
||||
echo "功能测试: $((total_tests - failed_tests))/$total_tests 通过"
|
||||
|
||||
if [ $failed_services -eq 0 ] && [ $failed_tests -eq 0 ]; then
|
||||
echo ""
|
||||
echo "🎉 所有测试通过！taiji-AI-PAD 运行正常"
|
||||
echo ""
|
||||
echo "🔗 快速访问链接："
|
||||
echo " • MCP API文档: http://localhost:8002/docs"
|
||||
echo " • 数据接入API: http://localhost:8001/docs"
|
||||
echo " • Grafana监控: http://localhost:3000"
|
||||
echo ""
|
||||
return 0
|
||||
else
|
||||
echo ""
|
||||
echo "❌ 部分测试失败，请检查服务状态"
|
||||
echo ""
|
||||
echo "🔧 故障排除："
|
||||
echo " • 查看日志: docker-compose logs"
|
||||
echo " • 检查服务状态: docker-compose ps"
|
||||
echo " • 重启服务: docker-compose restart"
|
||||
echo ""
|
||||
return 1
|
||||
fi
|
||||
}
|
||||
|
||||
# 清理函数
|
||||
cleanup() {
|
||||
echo ""
|
||||
echo "🧹 测试清理..."
|
||||
# 删除测试创建的Agent（如果存在）
|
||||
curl -s -X DELETE http://localhost:8002/agents/test-agent > /dev/null 2>&1 || true
|
||||
echo "✅ 清理完成"
|
||||
}
|
||||
|
||||
# 设置清理陷阱
|
||||
trap cleanup EXIT
|
||||
|
||||
# 运行测试
|
||||
main "$@"
|
||||
Reference in New Issue
Block a user