feat: 添加完整的AI聊天API功能

- 新增AIChatController控制器，支持真实AI聊天
- 添加纯文本端点(/chat/text)和JSON端点(/chat)
- 新增快速测试端点(/ping, /echo)
- 添加完整的日志记录和错误处理
- 创建多种测试脚本(PowerShell, Bash)
- 添加权限修复脚本
- 更新配置文件支持DeepSeek API
- 添加启动脚本和Docker支持

Author: zyh616598128

.env.test

@@ -0,0 +1,6 @@
+# 测试环境配置
+HOST_PORT=8081
+AI_API_KEY=demo-mode-test
+AI_MODEL=deepseek-chat
+AI_BASE_URL=https://api.deepseek.com
+AI_ENABLED=true

Dockerfile

@@ -21,7 +21,7 @@ COPY src src
 RUN mvn clean package -DskipTests
 
 # 第二阶段：运行阶段
-FROM openjdk:17-jre-slim
+FROM eclipse-temurin:17-jre
 
 # 设置时区
 ENV TZ=Asia/Shanghai

ai-chat.sh

@@ -0,0 +1,68 @@
+#!/bin/bash
+# 简单的AI聊天脚本
+
+API_URL="http://localhost:8080/api/v1/chat/text"
+
+# 如果没有参数，显示帮助
+if [ $# -eq 0 ]; then
+    echo "使用方法:"
+    echo "  $0 \"你的问题\"          # 提问一个问题"
+    echo "  $0 -i                  # 交互模式"
+    echo "  $0 -s                  # 检查API状态"
+    echo "  $0 -h                  # 显示帮助"
+    exit 0
+fi
+
+case "$1" in
+    -i|--interactive)
+        echo "🤖 AI聊天交互模式 (输入'退出'结束)"
+        echo "================================="
+        while true; do
+            echo -n "你: "
+            read question
+            if [ "$question" = "退出" ] || [ "$question" = "exit" ]; then
+                echo "再见！"
+                break
+            fi
+            
+            echo -n "AI: "
+            curl -s -X POST "$API_URL" \
+                -H "Content-Type: application/json" \
+                -d "{\"message\": \"$question\"}"
+            echo ""
+        done
+        ;;
+        
+    -s|--status)
+        echo "🔍 检查API状态..."
+        curl -s http://localhost:8080/api/v1/status | python3 -c "
+import json, sys
+data = json.load(sys.stdin)
+print('✅ 服务:', data['service'])
+print('📊 状态:', data['status'])
+print('🤖 模型:', data['model'])
+print('🔑 API配置:', data['api_configured'])
+print('🌐 基础URL:', data['base_url'])
+"
+        ;;
+        
+    -h|--help)
+        echo "AI聊天客户端"
+        echo "命令:"
+        echo "  -i, --interactive   交互模式"
+        echo "  -s, --status        检查API状态"
+        echo "  -h, --help          显示帮助"
+        echo "  其他任何文本        提问问题"
+        ;;
+        
+    *)
+        # 直接提问
+        question="$*"
+        echo "提问: $question"
+        echo -n "回答: "
+        curl -s -X POST "$API_URL" \
+            -H "Content-Type: application/json" \
+            -d "{\"message\": \"$question\"}"
+        echo ""
+        ;;
+esac

docker-entrypoint.sh

@@ -27,7 +27,7 @@ export JAVA_OPTS="$JAVA_OPTS -Dmanagement.endpoint.health.show-details=always"
 export JAVA_OPTS="$JAVA_OPTS -Dlogging.file.name=/app/logs/application.log"
 export JAVA_OPTS="$JAVA_OPTS -Dlogging.file.max-size=10MB"
 export JAVA_OPTS="$JAVA_OPTS -Dlogging.file.max-history=10"
-export JAVA_OPTS="$JAVA_OPTS -Dlogging.pattern.console=%d{yyyy-MM-dd HH:mm:ss} - %msg%n"
+export JAVA_OPTS="$JAVA_OPTS -Dlogging.pattern.console='%d{yyyy-MM-dd HH:mm:ss} - %msg%n'"
 
 # 应用配置
 export JAVA_OPTS="$JAVA_OPTS -Dspring.profiles.active=${SPRING_PROFILES_ACTIVE:-docker}"

fix-permissions.sh

@@ -0,0 +1,59 @@
+#!/bin/bash
+# 修复权限脚本
+
+echo "🔧 修复Java AI Starter项目权限"
+echo "==============================="
+
+# 检查当前用户
+echo "当前用户: $(whoami)"
+echo "当前目录: $(pwd)"
+
+# 检查项目目录
+if [ ! -d "logs" ]; then
+    echo "❌ logs目录不存在"
+    mkdir -p logs
+    echo "✅ 已创建logs目录"
+fi
+
+# 修复目录权限
+echo "修复目录权限..."
+find . -type d -exec chmod 755 {} \;
+echo "✅ 目录权限已修复"
+
+# 修复文件权限
+echo "修复文件权限..."
+find . -type f -exec chmod 644 {} \;
+
+# 修复可执行文件
+echo "修复可执行文件权限..."
+find . -name "*.sh" -type f -exec chmod +x {} \;
+find . -name "*.jar" -type f -exec chmod +x {} \;
+
+# 修复特定文件
+echo "修复特定文件权限..."
+chmod 755 logs 2>/dev/null
+chmod 644 logs/application.log 2>/dev/null
+
+# 检查权限
+echo ""
+echo "📋 权限检查:"
+echo "logs目录: $(ls -ld logs)"
+echo "日志文件: $(ls -l logs/application.log 2>/dev/null || echo '日志文件不存在')"
+
+# 测试读取
+echo ""
+echo "🧪 测试读取日志:"
+if [ -f "logs/application.log" ]; then
+    echo "最后3行日志:"
+    tail -3 logs/application.log
+    echo "✅ 日志读取成功"
+else
+    echo "⚠️  日志文件不存在，但目录权限已修复"
+fi
+
+echo ""
+echo "✅ 权限修复完成"
+echo ""
+echo "📋 现在可以运行:"
+echo "  tail -f logs/application.log"
+echo "  ./view-logs.sh tail"

mvnw

@@ -0,0 +1,62 @@
+# PowerShell AI聊天API测试脚本 - 无乱码版本
+
+Write-Host "🤖 AI聊天API测试" -ForegroundColor Cyan
+Write-Host "=================" -ForegroundColor Cyan
+
+# 测试纯文本端点
+Write-Host "`n1. 测试纯文本端点 (推荐)" -ForegroundColor Green
+$questions = @(
+    "你好，请用中文介绍一下你自己",
+    "今天天气怎么样？",
+    "讲一个简短的笑话",
+    "用一句话说明什么是人工智能"
+)
+
+foreach ($q in $questions) {
+    Write-Host "`n提问: $q" -ForegroundColor Yellow
+    $body = @{message = $q} | ConvertTo-Json
+    try {
+        $response = Invoke-RestMethod -Uri "http://localhost:8080/api/v1/chat/text" -Method Post -Body $body -ContentType "application/json" -ErrorAction Stop
+        Write-Host "回答: $response" -ForegroundColor White
+    } catch {
+        Write-Host "错误: $_" -ForegroundColor Red
+    }
+    Start-Sleep -Milliseconds 500
+}
+
+# 测试状态检查
+Write-Host "`n2. 测试API状态" -ForegroundColor Green
+try {
+    $status = Invoke-RestMethod -Uri "http://localhost:8080/api/v1/status" -Method Get -ErrorAction Stop
+    Write-Host "✅ API状态正常" -ForegroundColor Green
+    Write-Host "   服务: $($status.service)" -ForegroundColor White
+    Write-Host "   状态: $($status.status)" -ForegroundColor White
+    Write-Host "   模型: $($status.model)" -ForegroundColor White
+    Write-Host "   API配置: $($status.api_configured)" -ForegroundColor White
+} catch {
+    Write-Host "❌ 状态检查失败: $_" -ForegroundColor Red
+}
+
+# 交互模式
+Write-Host "`n3. 交互模式 (输入'退出'结束)" -ForegroundColor Green
+while ($true) {
+    $userInput = Read-Host "`n你的问题"
+    if ($userInput -eq "退出" -or $userInput -eq "exit") {
+        break
+    }
+    
+    $body = @{message = $userInput} | ConvertTo-Json
+    try {
+        $response = Invoke-RestMethod -Uri "http://localhost:8080/api/v1/chat/text" -Method Post -Body $body -ContentType "application/json" -ErrorAction Stop
+        Write-Host "`n🤖 AI: $response" -ForegroundColor Cyan
+    } catch {
+        Write-Host "错误: $_" -ForegroundColor Red
+    }
+}
+
+Write-Host "`n✅ 测试完成" -ForegroundColor Green
+Write-Host "`n📋 快速命令参考:" -ForegroundColor Yellow
+Write-Host "  # 一句话测试" -ForegroundColor Gray
+Write-Host "  Invoke-RestMethod -Uri 'http://localhost:8080/api/v1/chat/text' -Method Post -Body (@{message='你好'} | ConvertTo-Json) -ContentType 'application/json'" -ForegroundColor White
+Write-Host "`n  # 使用curl.exe" -ForegroundColor Gray
+Write-Host "  curl.exe -s -X POST http://localhost:8080/api/v1/chat/text -H 'Content-Type: application/json' -d '{\"message\":\"你好\"}'" -ForegroundColor White

powershell-test.ps1

@@ -0,0 +1,29 @@
+#!/bin/bash
+# 简单的Docker运行脚本
+
+echo "🚀 启动Java AI Starter (简单Docker模式)"
+
+# 检查是否已有容器在运行
+if docker ps | grep -q "java-ai-simple"; then
+    echo "停止现有容器..."
+    docker stop java-ai-simple
+    docker rm java-ai-simple
+fi
+
+# 使用现有jar文件运行
+echo "构建Docker镜像..."
+docker build -t java-ai-simple:latest .
+
+echo "启动容器..."
+docker run -d \
+  --name java-ai-simple \
+  -p 8080:8080 \
+  -e AI_API_KEY=${AI_API_KEY:-} \
+  -e AI_MODEL=deepseek-chat \
+  -e AI_BASE_URL=https://api.deepseek.com \
+  java-ai-simple:latest
+
+echo "✅ 容器已启动"
+echo "📊 访问地址: http://localhost:8080"
+echo "🔍 查看日志: docker logs -f java-ai-simple"
+echo "🛑 停止容器: docker stop java-ai-simple"

run-docker-simple.sh

@@ -0,0 +1,16 @@
+# 最简单的测试脚本
+
+# 测试聊天
+$body = @{message = "你好，请用中文介绍一下你自己"} | ConvertTo-Json
+$response = Invoke-RestMethod -Uri "http://localhost:8080/api/v1/chat" -Method Post -Body $body -ContentType "application/json"
+
+Write-Host "=" * 50
+Write-Host "🤖 AI回复：" -ForegroundColor Yellow
+Write-Host $response.message
+Write-Host "=" * 50
+Write-Host ""
+Write-Host "📊 统计信息：" -ForegroundColor Cyan
+Write-Host "模型: $($response.model)"
+Write-Host "成功: $($response.success)"
+Write-Host "总Token: $($response.tokens_used.total_tokens)"
+Write-Host "时间戳: $(Get-Date -Date '1970-01-01').AddMilliseconds($response.timestamp)"