This commit is contained in:
aruo
2026-05-31 21:45:14 +08:00
parent d4b5015beb
commit ac08345369
67 changed files with 11120 additions and 387 deletions
+54 -33
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@@ -18,63 +18,84 @@ milvus:
password: ""
database: db_4a578da0f27ce9d
timeout: 10000
token: ${MILVUS_TOKEN:}
token: d246a77f43a109685596e3c68ecfd359e1cd8b29d35c41d708160f02b97ae623d2ab392738df740d0c77b58ca1bbadfa7c412140
secure: true
vector-dim: 1024 # BGE-M3 = 1024,换模型时同步改
# =====================================================
# 模型路由配置
# =====================================================
# 通过关键字匹配 Bean,切换模型只改这里 + 对应 api-key
# Chat: deepseek | openai | ollama | ...
# Embedding: siliconflow | openai | ollama | dashscope | ...
# =====================================================
model-routing:
chat: deepseek
embedding: siliconflow
# Spring AI Alibaba DashScope 配置
spring:
ai:
dashscope:
api-key: ${DASHSCOPE_API_KEY:your-api-key-here} # 从环境变量读取或使用默认值
# --- Chat: DeepSeek (原生) ---
deepseek:
api-key: sk-1f44696abe644bd684f09cc43f12c557
base-url: https://api.deepseek.com
chat:
options:
timeout: 180000 # 超时时间180秒(3分钟)
retry:
max-attempts: 3 # 最大重试次数
backoff:
initial-interval: 2000 # 初始重试间隔2秒
multiplier: 2 # 重试间隔倍数
max-interval: 10000 # 最大重试间隔10秒
model: deepseek-v4-flash
# --- OpenAI 模块供 SiliconFlow Embedding 复用 ---
openai:
api-key: unused
# Spring AI MCP 客户端配置
# 如果使用mock数据,请注释这部分内容
mcp:
client:
enabled: true
name: tencent-mcp-server
version: 1.0.0
request-timeout: 60s
type: ASYNC
sse:
connections:
tencent-cls:
url: https://mcp-api.tencent-cloud.com
sse-endpoint: /sse/92XXXXXXXXb4 # 完整的SSE端点路径
enabled: false
# 阿里云 DashScope Embedding API 配置
dashscope:
api:
key: ${DASHSCOPE_API_KEY:your-api-key-here} # 从环境变量读取或使用默认值(用于自定义配置)
# --- Embedding: SiliconFlow BGE-M3 ---
siliconflow:
api-key: sk-rlxqcnlohjqwkzoffollthmzzfiohngdrabrmmqhcgtewnzx
base-url: https://api.siliconflow.cn
embedding:
model: text-embedding-v4 # 阿里云文本向量化模型
model: BAAI/bge-m3
# 文档分片配置
document:
chunk:
max-size: 800 # 每个分片最大字符数
overlap: 100 # 分片之间的重叠字符数
max-size: 800
overlap: 100
# RAG 配置
rag:
top-k: 3 # 检索返回的最相似文档数量
model: "qwen3-max" # 大语言模型名称
# Prometheus 配置
prometheus:
base-url: http://localhost:9090
timeout: 10 # 超时时间(秒)
mock-enabled: false # 是否启用 Mock 模式(用于测试)
mock-enabled: true # 是否启用 Mock 模式(用于测试)
# CLS 云日志服务配置
cls:
mock-enabled: false # 是否启用 Mock 模式(用于测试,设为 true 返回与告警关联的模拟日志数据)
mock-enabled: true # 是否启用 Mock 模式(用于测试,设为 true 返回与告警关联的模拟日志数据)
# =====================================================
# 日志配置
# =====================================================
logging:
file:
name: logs/application.log # 日志文件路径
pattern:
console: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"
file: "%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n"
level:
root: INFO
org.example: DEBUG # 本项目包日志级别设为 DEBUG
org.springframework.ai: DEBUG # Spring AI 日志
com.alibaba.cloud: INFO
logback:
rollingpolicy:
max-file-size: 10MB # 单个日志文件最大 10MB
max-history: 30 # 保留 30 天
total-size-cap: 1GB # 所有日志文件总大小上限 1GB
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@@ -0,0 +1,139 @@
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<!-- 日志文件存储路径 -->
<property name="LOG_PATH" value="logs"/>
<property name="LOG_FILE" value="application"/>
<!-- 控制台输出 -->
<appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %highlight(%-5level) %cyan(%logger{36}) - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<!-- 文件输出 - 所有日志 -->
<appender name="FILE_ALL" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/${LOG_FILE}.log</file>
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/${LOG_FILE}-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>10MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>30</maxHistory>
<totalSizeCap>1GB</totalSizeCap>
</rollingPolicy>
</appender>
<!-- 文件输出 - 错误日志 -->
<appender name="FILE_ERROR" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/${LOG_FILE}-error.log</file>
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>ERROR</level>
<onMatch>ACCEPT</onMatch>
<onMismatch>DENY</onMismatch>
</filter>
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/${LOG_FILE}-error-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>10MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>30</maxHistory>
</rollingPolicy>
</appender>
<!-- 文件输出 - AI Ops 专用日志 -->
<appender name="FILE_AIOPS" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/aiops.log</file>
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/aiops-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>10MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>15</maxHistory>
</rollingPolicy>
</appender>
<!-- 文件输出 - Chat 对话日志 -->
<appender name="FILE_CHAT" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_PATH}/chat.log</file>
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_PATH}/chat-%d{yyyy-MM-dd}.%i.log</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>10MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
<maxHistory>15</maxHistory>
</rollingPolicy>
</appender>
<!-- 异步输出(提升性能) -->
<appender name="ASYNC_FILE_ALL" class="ch.qos.logback.classic.AsyncAppender">
<discardingThreshold>0</discardingThreshold>
<queueSize>512</queueSize>
<appender-ref ref="FILE_ALL"/>
</appender>
<appender name="ASYNC_FILE_ERROR" class="ch.qos.logback.classic.AsyncAppender">
<discardingThreshold>0</discardingThreshold>
<queueSize>512</queueSize>
<appender-ref ref="FILE_ERROR"/>
</appender>
<!-- 按包名配置日志级别 -->
<logger name="org.example" level="DEBUG" additivity="false">
<appender-ref ref="CONSOLE"/>
<appender-ref ref="ASYNC_FILE_ALL"/>
<appender-ref ref="ASYNC_FILE_ERROR"/>
</logger>
<!-- AI Ops Service 单独记录 -->
<logger name="org.example.service.AiOpsService" level="DEBUG" additivity="false">
<appender-ref ref="CONSOLE"/>
<appender-ref ref="FILE_AIOPS"/>
<appender-ref ref="ASYNC_FILE_ERROR"/>
</logger>
<!-- Chat Service 单独记录 -->
<logger name="org.example.service.ChatService" level="DEBUG" additivity="false">
<appender-ref ref="CONSOLE"/>
<appender-ref ref="FILE_CHAT"/>
<appender-ref ref="ASYNC_FILE_ERROR"/>
</logger>
<!-- Spring AI 日志 -->
<logger name="org.springframework.ai" level="DEBUG"/>
<!-- Spring Framework -->
<logger name="org.springframework" level="INFO"/>
<!-- Milvus Client -->
<logger name="io.milvus" level="INFO"/>
<!-- 第三方库降噪 -->
<logger name="com.alibaba.cloud" level="WARN"/>
<logger name="org.apache.http" level="WARN"/>
<logger name="io.netty" level="WARN"/>
<!-- Root Logger -->
<root level="INFO">
<appender-ref ref="CONSOLE"/>
<appender-ref ref="ASYNC_FILE_ALL"/>
<appender-ref ref="ASYNC_FILE_ERROR"/>
</root>
</configuration>