dev_1.0.0_yuyr 完成 log和bind模块开发部署测试 (#8)

- [x] 完成log模块镜像构建、本地端到端写日志——收集——查询流程;
- [x] 完成bind模块构建;
- [x] 内置域名IP自动更新脚本,使用 /private/argus/etc目录下文件进行同步,容器启动时自动写IP,定时任务刷新更新DNS服务器IP和DNS规则;

Co-authored-by: root <root@curious.host.com>
Reviewed-on: #8
Reviewed-by: sundapeng <sundp@mail.zgclab.edu.cn>
This commit was merged in pull request #8.
This commit is contained in:
2025-09-22 16:39:38 +08:00
parent 26e1c964ed
commit 8a38d3d0b2
48 changed files with 2744 additions and 0 deletions

5
src/log/.gitignore vendored Normal file
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private/
images/

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测试log模块开发
elasticsearch: 部署镜像构建及启动脚本(解决账号问题、挂载目录、使用supervisor守护)
kibana: 镜像构建
fluent-bit: 安装包,脚本准备, 交付给大鹏统一组织客户端侧安装流程
init: EK初始化脚本:数据视图创建脚本等

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FROM docker.elastic.co/elasticsearch/elasticsearch:8.13.4
# 切换到 root 用户进行系统级安装
USER root
# 修改elasticsearch用户的UID和GID
RUN usermod -u 2133 elasticsearch && \
groupmod -g 2015 elasticsearch && \
chown -R elasticsearch:elasticsearch /usr/share/elasticsearch
# 设置构建参数
ARG USE_INTRANET=false
# 配置内网 apt 源 (如果指定了内网选项)
RUN if [ "$USE_INTRANET" = "true" ]; then \
echo "Configuring intranet apt sources..." && \
cp /etc/apt/sources.list /etc/apt/sources.list.bak && \
echo "deb [trusted=yes] http://10.68.64.1/ubuntu2204/ jammy main" > /etc/apt/sources.list && \
echo 'Acquire::https::Verify-Peer "false";' > /etc/apt/apt.conf.d/99disable-ssl-check && \
echo 'Acquire::https::Verify-Host "false";' >> /etc/apt/apt.conf.d/99disable-ssl-check; \
fi
# 安装 supervisor, net-tools, vim
RUN apt-get update && \
apt-get install -y supervisor net-tools inetutils-ping vim && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# 配置部署时使用的apt源
RUN if [ "$USE_INTRANET" = "true" ]; then \
echo "deb [trusted=yes] https://10.92.132.52/mirrors/ubuntu2204/ jammy main" > /etc/apt/sources.list; \
fi
# 创建 supervisor 日志目录
RUN mkdir -p /var/log/supervisor
# 复制 supervisor 配置文件
COPY src/log/elasticsearch/build/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
# 复制启动脚本
COPY src/log/elasticsearch/build/start-es-supervised.sh /usr/local/bin/start-es-supervised.sh
RUN chmod +x /usr/local/bin/start-es-supervised.sh
# 复制DNS监控脚本
COPY src/log/elasticsearch/build/dns-monitor.sh /usr/local/bin/dns-monitor.sh
RUN chmod +x /usr/local/bin/dns-monitor.sh
# 保持 root 用户,由 supervisor 管理用户切换
USER root
# 暴露端口
EXPOSE 9200 9300
# 使用 supervisor 作为入口点
CMD ["/usr/bin/supervisord", "-c", "/etc/supervisor/conf.d/supervisord.conf"]

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../../../bind/build/dns-monitor.sh

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#!/bin/bash
set -euo pipefail
echo "[INFO] Starting Elasticsearch under supervisor..."
# 创建数据目录并设置权限(如果不存在)
mkdir -p /private/argus/log/elasticsearch
# 创建软链接到Elasticsearch预期的数据目录
if [ -L /usr/share/elasticsearch/data ]; then
rm /usr/share/elasticsearch/data
elif [ -d /usr/share/elasticsearch/data ]; then
rm -rf /usr/share/elasticsearch/data
fi
ln -sf /private/argus/log/elasticsearch /usr/share/elasticsearch/data
# 记录容器ip地址
DOMAIN=es.log.argus.com
IP=`ifconfig | grep -A 1 eth0 | grep inet | awk '{print $2}'`
echo current IP: ${IP}
echo ${IP} > /private/argus/etc/${DOMAIN}
echo "[INFO] Data directory linked: /usr/share/elasticsearch/data -> /private/argus/log/elasticsearch"
# 设置环境变量(ES配置通过docker-compose传递)
export ES_JAVA_OPTS="${ES_JAVA_OPTS:-"-Xms512m -Xmx512m"}"
echo "[INFO] Starting Elasticsearch process..."
# 启动原始的Elasticsearch entrypoint
exec /usr/local/bin/docker-entrypoint.sh elasticsearch

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[supervisord]
nodaemon=true
logfile=/var/log/supervisor/supervisord.log
pidfile=/var/run/supervisord.pid
user=root
[program:elasticsearch]
command=/usr/local/bin/start-es-supervised.sh
user=elasticsearch
stdout_logfile=/var/log/supervisor/elasticsearch.log
stderr_logfile=/var/log/supervisor/elasticsearch_error.log
autorestart=true
startretries=3
startsecs=30
stopwaitsecs=30
killasgroup=true
stopasgroup=true
[program:dns-monitor]
command=/usr/local/bin/dns-monitor.sh
user=root
stdout_logfile=/var/log/supervisor/dns-monitor.log
stderr_logfile=/var/log/supervisor/dns-monitor_error.log
autorestart=true
startretries=3
startsecs=5
stopwaitsecs=10
killasgroup=true
stopasgroup=true
[unix_http_server]
file=/var/run/supervisor.sock
chmod=0700
[supervisorctl]
serverurl=unix:///var/run/supervisor.sock
[rpcinterface:supervisor]
supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface

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[SERVICE]
Daemon Off
Parsers_File parsers.conf
HTTP_Server On
HTTP_Listen 0.0.0.0
HTTP_Port 2020
storage.path /buffers
storage.sync normal
storage.checksum on
storage.backlog.mem_limit 128M
# 备注:该镜像默认未开启 Hot Reload,修改配置后请重启容器。
@INCLUDE inputs.d/*.conf
[FILTER]
Name parser
Match app.*
Key_Name log
Parser timestamp_parser
Reserve_Data On
Preserve_Key On
Unescape_Key On
[FILTER]
Name record_modifier
Match *
Record cluster ${CLUSTER}
Record rack ${RACK}
Record host ${HOSTNAME}
[FILTER]
Name lua
Match app.*
script inject_labels.lua
call add_labels
@INCLUDE outputs.d/*.conf

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function add_labels(tag, ts, record)
record["job_id"] = os.getenv("FB_JOB_ID") or record["job_id"] or "unknown"
record["user"] = os.getenv("FB_USER") or record["user"] or "unknown"
record["model"] = os.getenv("FB_MODEL") or record["model"] or "unknown"
record["gpu_id"] = os.getenv("FB_GPU_ID") or record["gpu_id"] or "na"
local p = record["log_path"] or ""
if string.find(p, "/logs/infer/") then
record["role"] = "infer"
elseif string.find(p, "/logs/train/") then
record["role"] = "train"
else
record["role"] = record["role"] or "app"
end
return 1, ts, record
end

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[INPUT]
Name tail
Path /logs/train/*.log
Tag app.train
Path_Key log_path
Refresh_Interval 5
DB /buffers/train.db
Skip_Long_Lines On
storage.type filesystem
multiline.parser python,go,java

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[INPUT]
Name tail
Path /logs/infer/*.log
Tag app.infer
Path_Key log_path
Refresh_Interval 5
DB /buffers/infer.db
Skip_Long_Lines On
storage.type filesystem
multiline.parser python,go,java

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# 重要:使用 Logstash_Format + Logstash_Prefix,生成 train-*/infer-* 索引
[OUTPUT]
Name es
Match app.train
Host ${ES_HOST}
Port ${ES_PORT}
Logstash_Format On
Logstash_Prefix train
Replace_Dots On
Generate_ID On
Retry_Limit False
Suppress_Type_Name On
[OUTPUT]
Name es
Match app.infer
Host ${ES_HOST}
Port ${ES_PORT}
Logstash_Format On
Logstash_Prefix infer
Replace_Dots On
Generate_ID On
Retry_Limit False
Suppress_Type_Name On

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[MULTILINE_PARSER]
Name python
Type regex
Flush 2
Rule "start_state" "/^\d{4}-\d{2}-\d{2}[\sT]/" "cont"
Rule "cont" "/^\s+|^Traceback|^\tat\s+/" "cont"
[MULTILINE_PARSER]
Name go
Type regex
Flush 2
Rule "start_state" "/^[0-9]{4}\/[0-9]{2}\/[0-9]{2}/" "cont"
Rule "cont" "/^\s+|^\t/" "cont"
[MULTILINE_PARSER]
Name java
Type regex
Flush 2
Rule "start_state" "/^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}/" "cont"
Rule "cont" "/^\s+at\s+|^\t.../" "cont"
[PARSER]
Name timestamp_parser
Format regex
Regex ^(?<timestamp>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\s+(?<level>\w+)\s+(?<message>.*)$
Time_Key timestamp
Time_Format %Y-%m-%d %H:%M:%S

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#!/bin/bash
set -euo pipefail
echo "[INFO] Starting Fluent Bit setup in Ubuntu container..."
# 安装必要的工具
echo "[INFO] Installing required packages..."
export DEBIAN_FRONTEND=noninteractive
apt-get update -qq
apt-get install -y -qq curl
# 解压bundle到/tmp
echo "[INFO] Extracting fluent-bit bundle..."
cp -r /private/etc /tmp
cp -r /private/packages /tmp
cd /tmp
# 安装 Fluent Bit 从 deb 包
echo "[INFO] Installing Fluent Bit from deb package..."
dpkg -i /tmp/packages/fluent-bit_3.1.9_amd64.deb || true
apt-get install -f -y -qq # 解决依赖问题
# 验证 Fluent Bit 可以运行
echo "[INFO] Fluent Bit version:"
/opt/fluent-bit/bin/fluent-bit --version
# 创建配置目录
mkdir -p /etc/fluent-bit
cp -r /tmp/etc/* /etc/fluent-bit/
# 创建日志和缓冲区目录
mkdir -p /logs/train /logs/infer /buffers
chmod 755 /logs/train /logs/infer /buffers
# 等待 Elasticsearch 就绪
echo "[INFO] Waiting for Elasticsearch to be ready..."
while ! curl -fs http://${ES_HOST}:${ES_PORT}/_cluster/health >/dev/null 2>&1; do
echo " Waiting for ES at ${ES_HOST}:${ES_PORT}..."
sleep 5
done
echo "[INFO] Elasticsearch is ready"
# 启动 Fluent Bit
echo "[INFO] Starting Fluent Bit with configuration from /etc/fluent-bit/"
echo "[INFO] Command: /opt/fluent-bit/bin/fluent-bit --config=/etc/fluent-bit/fluent-bit.conf"
exec /opt/fluent-bit/bin/fluent-bit \
--config=/etc/fluent-bit/fluent-bit.conf

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FROM docker.elastic.co/kibana/kibana:8.13.4
# 切换到 root 用户进行系统级安装
USER root
# 修改kibana用户的UID和GID
RUN usermod -u 2133 kibana && \
groupmod -g 2015 kibana && \
chown -R kibana:kibana /usr/share/kibana
# 设置构建参数
ARG USE_INTRANET=false
# 配置内网 apt 源 (如果指定了内网选项)
RUN if [ "$USE_INTRANET" = "true" ]; then \
echo "Configuring intranet apt sources..." && \
cp /etc/apt/sources.list /etc/apt/sources.list.bak && \
echo "deb [trusted=yes] http://10.68.64.1/ubuntu2204/ jammy main" > /etc/apt/sources.list && \
echo 'Acquire::https::Verify-Peer "false";' > /etc/apt/apt.conf.d/99disable-ssl-check && \
echo 'Acquire::https::Verify-Host "false";' >> /etc/apt/apt.conf.d/99disable-ssl-check; \
fi
# 安装 supervisor, net-tools, vim
RUN apt-get update && \
apt-get install -y supervisor net-tools inetutils-ping vim && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# 配置部署时使用的apt源
RUN if [ "$USE_INTRANET" = "true" ]; then \
echo "deb [trusted=yes] https://10.92.132.52/mirrors/ubuntu2204/ jammy main" > /etc/apt/sources.list; \
fi
# 创建 supervisor 日志目录
RUN mkdir -p /var/log/supervisor
# 复制 supervisor 配置文件
COPY src/log/kibana/build/supervisord.conf /etc/supervisor/conf.d/supervisord.conf
# 复制启动脚本
COPY src/log/kibana/build/start-kibana-supervised.sh /usr/local/bin/start-kibana-supervised.sh
COPY src/log/kibana/build/kibana-post-start.sh /usr/local/bin/kibana-post-start.sh
RUN chmod +x /usr/local/bin/start-kibana-supervised.sh /usr/local/bin/kibana-post-start.sh
# 复制DNS监控脚本
COPY src/log/kibana/build/dns-monitor.sh /usr/local/bin/dns-monitor.sh
RUN chmod +x /usr/local/bin/dns-monitor.sh
# kibana需要用到 /root/.config/puppeteer 路径
RUN chmod 777 /root
# 保持 root 用户,由 supervisor 管理用户切换
USER root
# 暴露端口
EXPOSE 5601
# 使用 supervisor 作为入口点
CMD ["/usr/bin/supervisord", "-c", "/etc/supervisor/conf.d/supervisord.conf"]

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../../../bind/build/dns-monitor.sh

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#!/bin/bash
set -euo pipefail
ES_HOST="${ELASTICSEARCH_HOSTS:-http://es:9200}"
KB_HOST="http://localhost:5601"
echo "[INFO] Starting Kibana post-start configuration..."
# 等待 Elasticsearch 可用
wait_for_elasticsearch() {
echo "[INFO] Waiting for Elasticsearch..."
local max_attempts=60
local attempt=1
while [ $attempt -le $max_attempts ]; do
if curl -fs "$ES_HOST/_cluster/health" >/dev/null 2>&1; then
echo "[OK] Elasticsearch is available"
return 0
fi
echo " Waiting for ES... ($attempt/$max_attempts)"
sleep 5
((attempt++))
done
echo "[ERROR] Elasticsearch timeout"
return 1
}
# 等待 Kibana 可用
wait_for_kibana() {
echo "[INFO] Waiting for Kibana..."
local max_attempts=120
local attempt=1
while [ $attempt -le $max_attempts ]; do
if curl -fs "$KB_HOST/api/status" >/dev/null 2>&1; then
local status=$(curl -s "$KB_HOST/api/status" | grep -o '"level":"available"' || echo "")
if [ -n "$status" ]; then
echo "[OK] Kibana is available"
return 0
fi
echo " Waiting for Kibana... ($attempt/$max_attempts, status: $status)"
else
echo " Waiting for Kibana... ($attempt/$max_attempts, connection failed)"
fi
sleep 5
((attempt++))
done
echo "[ERROR] Kibana timeout"
return 1
}
# 幂等设置索引副本数为0
fix_replicas_idempotent() {
echo "[INFO] Checking and fixing index replicas..."
# 获取所有 train-* 和 infer-* 索引
local indices=$(curl -s "$ES_HOST/_cat/indices/train-*,infer-*?h=index" 2>/dev/null || echo "")
if [ -z "$indices" ]; then
echo "[INFO] No train-*/infer-* indices found, skipping replica adjustment"
return 0
fi
for idx in $indices; do
# 检查当前副本数
local current_replicas=$(curl -s "$ES_HOST/$idx/_settings" | grep -o '"number_of_replicas":"[^"]*"' | cut -d'"' -f4 || echo "")
if [ "$current_replicas" != "0" ]; then
echo "[INFO] Setting replicas to 0 for index: $idx (current: $current_replicas)"
curl -fsS -X PUT "$ES_HOST/$idx/_settings" \
-H 'Content-Type: application/json' \
-d '{"index":{"number_of_replicas":0}}' >/dev/null || {
echo "[WARN] Failed to set replicas for $idx"
continue
}
echo "[OK] Updated replicas for $idx"
else
echo "[INFO] Index $idx already has 0 replicas, skipping"
fi
done
}
# 幂等创建数据视图
create_data_views_idempotent() {
echo "[INFO] Checking and creating data views..."
# 检查是否存在匹配的索引
local train_indices=$(curl -s "$ES_HOST/_cat/indices/train-*?h=index" 2>/dev/null | wc -l || echo "0")
local infer_indices=$(curl -s "$ES_HOST/_cat/indices/infer-*?h=index" 2>/dev/null | wc -l || echo "0")
# 创建 train 数据视图
if [ "$train_indices" -gt 0 ]; then
# 检查数据视图是否已存在
local train_exists=$(curl -s "$KB_HOST/api/data_views" -H 'kbn-xsrf: true' 2>/dev/null | grep '"title":"train-\*"' | wc -l )
if [ "$train_exists" -eq 0 ]; then
echo "[INFO] Creating data view for train-* indices"
curl -fsS -X POST "$KB_HOST/api/data_views/data_view" \
-H 'kbn-xsrf: true' \
-H 'Content-Type: application/json' \
-d '{"data_view":{"name":"train","title":"train-*","timeFieldName":"@timestamp"}}' \
>/dev/null && echo "[OK] Created train data view" || echo "[WARN] Failed to create train data view"
else
echo "[INFO] Train data view already exists, skipping"
fi
else
echo "[INFO] No train-* indices found, skipping train data view creation"
fi
# 创建 infer 数据视图
if [ "$infer_indices" -gt 0 ]; then
# 检查数据视图是否已存在
local infer_exists=$(curl -s "$KB_HOST/api/data_views" -H 'kbn-xsrf: true' 2>/dev/null | grep '"title":"infer-\*"' | wc -l )
if [ "$infer_exists" -eq 0 ]; then
echo "[INFO] Creating data view for infer-* indices"
curl -fsS -X POST "$KB_HOST/api/data_views/data_view" \
-H 'kbn-xsrf: true' \
-H 'Content-Type: application/json' \
-d '{"data_view":{"name":"infer","title":"infer-*","timeFieldName":"@timestamp"}}' \
>/dev/null && echo "[OK] Created infer data view" || echo "[WARN] Failed to create infer data view"
else
echo "[INFO] Infer data view already exists, skipping"
fi
else
echo "[INFO] No infer-* indices found, skipping infer data view creation"
fi
}
# 主逻辑
main() {
# 等待服务可用
wait_for_elasticsearch || exit 1
wait_for_kibana || exit 1
# 执行幂等配置
fix_replicas_idempotent
create_data_views_idempotent
echo "[INFO] Kibana post-start configuration completed"
}
# 运行主逻辑
main

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#!/bin/bash
set -euo pipefail
echo "[INFO] Starting Kibana under supervisor..."
mkdir -p /private/argus/log/kibana
# 创建软链接到Kibana预期的数据目录
if [ -L /usr/share/kibana/data ]; then
rm /usr/share/kibana/data
elif [ -d /usr/share/kibana/data ]; then
rm -rf /usr/share/kibana/data
fi
ln -sf /private/argus/log/kibana /usr/share/kibana/data
echo "[INFO] Data directory linked: /usr/share/kibana/data -> /private/argus/log/kibana"
# 记录容器ip地址
DOMAIN=kibana.log.argus.com
IP=`ifconfig | grep -A 1 eth0 | grep inet | awk '{print $2}'`
echo current IP: ${IP}
echo ${IP} > /private/argus/etc/${DOMAIN}
# 设置环境变量
export ELASTICSEARCH_HOSTS="${ELASTICSEARCH_HOSTS:-"http://es:9200"}"
echo "[INFO] Connecting to Elasticsearch at: $ELASTICSEARCH_HOSTS"
# 启动后台配置任务
echo "[INFO] Starting background post-start configuration..."
/usr/local/bin/kibana-post-start.sh &
echo "[INFO] Starting Kibana process..."
# 启动原始的Kibana entrypoint
exec /usr/local/bin/kibana-docker

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[supervisord]
nodaemon=true
logfile=/var/log/supervisor/supervisord.log
pidfile=/var/run/supervisord.pid
user=root
[program:kibana]
command=/usr/local/bin/start-kibana-supervised.sh
user=kibana
stdout_logfile=/var/log/supervisor/kibana.log
stderr_logfile=/var/log/supervisor/kibana_error.log
autorestart=true
startretries=3
startsecs=30
stopwaitsecs=30
killasgroup=true
stopasgroup=true
[program:dns-monitor]
command=/usr/local/bin/dns-monitor.sh
user=root
stdout_logfile=/var/log/supervisor/dns-monitor.log
stderr_logfile=/var/log/supervisor/dns-monitor_error.log
autorestart=true
startretries=3
startsecs=5
stopwaitsecs=10
killasgroup=true
stopasgroup=true
[unix_http_server]
file=/var/run/supervisor.sock
chmod=0700
[supervisorctl]
serverurl=unix:///var/run/supervisor.sock
[rpcinterface:supervisor]
supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface

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version: "3.8"
services:
es:
build:
context: ../elasticsearch/build
dockerfile: Dockerfile
image: argus-elasticsearch:latest
environment:
- discovery.type=single-node
- xpack.security.enabled=false
- ES_JAVA_OPTS=-Xms512m -Xmx512m
volumes:
- ./private/argus/:/private/argus/
ports: ["9200:9200"]
healthcheck:
test: ["CMD-SHELL", "curl -fs http://localhost:9200 >/dev/null || exit 1"]
interval: 10s
timeout: 5s
retries: 30
kibana:
build:
context: ../kibana/build
dockerfile: Dockerfile
image: argus-kibana:latest
environment:
- ELASTICSEARCH_HOSTS=http://es.log.argus.com:9200
volumes:
- ./private/argus/:/private/argus/
ports: ["5601:5601"]
depends_on:
es:
condition: service_healthy
fluent-bit-host01:
image: ubuntu:22.04
environment:
- CLUSTER=local
- RACK=dev
- HOSTNAME=host01
- ES_HOST=es
- ES_PORT=9200
volumes:
- ../fluent-bit/build:/private/
ports: ["2020:2020"]
depends_on:
es:
condition: service_healthy
command: /private/start-fluent-bit.sh
healthcheck:
test: ["CMD-SHELL", "curl -fs http://localhost:2020/api/v2/metrics >/dev/null || exit 1"]
interval: 15s
timeout: 10s
retries: 30
fluent-bit-host02:
image: ubuntu:22.04
environment:
- CLUSTER=local
- RACK=dev
- HOSTNAME=host02
- ES_HOST=es
- ES_PORT=9200
volumes:
- ../fluent-bit/build:/private/
ports: ["2021:2020"]
depends_on:
es:
condition: service_healthy
command: /private/start-fluent-bit.sh
healthcheck:
test: ["CMD-SHELL", "curl -fs http://localhost:2020/api/v2/metrics >/dev/null || exit 1"]
interval: 15s
timeout: 10s
retries: 30
bind9:
image: argus-bind9:latest
ports:
- "53:53/tcp"
- "53:53/udp"
volumes:
- ./private/argus:/private/argus/
restart: unless-stopped

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#!/usr/bin/env bash
set -euo pipefail
root="$(cd "$(dirname "${BASH_SOURCE[0]}")/../" && pwd)"
# 创建新的private目录结构 (基于argus目录结构)
echo "[INFO] Creating private directory structure for supervisor-based containers..."
mkdir -p "$root/private/argus/log/elasticsearch"
mkdir -p "$root/private/argus/log/kibana"
mkdir -p "$root/private/argus/etc/"
# 设置数据目录权限(ES 和 Kibana 容器都使用 UID 1000)
echo "[INFO] Setting permissions for data directories..."
sudo chown -R 2133:2015 "$root/private/argus/log/elasticsearch" 2>/dev/null || true
sudo chown -R 2133:2015 "$root/private/argus/log/kibana" 2>/dev/null || true
sudo chown -R 2133:2015 "$root/private/argus/etc" 2>/dev/null || true
echo "[INFO] Supervisor-based containers will manage their own scripts and configurations"
# 检查fluent-bit相关文件是否存在
if [[ ! -f "$root/../fluent-bit/fluent-bit-bundle.tar.gz" ]]; then
echo "[WARN] fluent-bit/fluent-bit-bundle.tar.gz 不存在,请确保已创建该文件"
fi
if [[ ! -f "$root/../fluent-bit/start-fluent-bit.sh" ]]; then
echo "[WARN] fluent-bit/start-fluent-bit.sh 不存在,请确保已创建该启动脚本"
fi
echo "[OK] 初始化完成: private/argus/log/{elasticsearch,kibana}"
echo "[INFO] Fluent-bit files should be in fluent-bit/ directory"

10
src/log/tests/scripts/02_up.sh Executable file
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#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")/.."
compose_cmd="docker compose"
if ! $compose_cmd version >/dev/null 2>&1; then
if command -v docker-compose >/dev/null 2>&1; then compose_cmd="docker-compose"; else
echo "需要 Docker Compose,请安装后重试" >&2; exit 1; fi
fi
$compose_cmd -p logging-mvp up -d --remove-orphans
echo "[OK] 服务已启动:ES http://localhost:9200 Kibana http://localhost:5601 Fluent-Bit host01 http://localhost:2020 Fluent-Bit host02 http://localhost:2021"

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#!/usr/bin/env bash
set -euo pipefail
# 获取fluent-bit-host01容器名称
container_name="logging-mvp-fluent-bit-host01-1"
# 检查容器是否存在并运行
if ! docker ps | grep -q "$container_name"; then
echo "[ERROR] Fluent Bit容器 $container_name 未运行"
exit 1
fi
# 创建日志目录
docker exec "$container_name" mkdir -p /logs/train /logs/infer
# 写入训练日志 (host01)
docker exec "$container_name" sh -c "printf '%s INFO [host01] training step=1 loss=1.23 model=bert\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
docker exec "$container_name" sh -c "printf '%s INFO [host01] training step=2 loss=1.15 model=bert\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
# 写入推理日志 (host01)
docker exec "$container_name" sh -c "printf '%s ERROR [host01] inference failed on batch=1\n' \"\$(date '+%F %T')\" >> /logs/infer/infer-demo.log"
docker exec "$container_name" sh -c "cat <<'STACK' >> /logs/infer/infer-demo.log
Traceback (most recent call last):
File \"inference.py\", line 15, in <module>
raise RuntimeError(\"CUDA out of memory on host01\")
RuntimeError: CUDA out of memory on host01
STACK"
echo "[OK] 已通过docker exec写入测试日志到 host01 容器内:"
echo " - /logs/train/train-demo.log"
echo " - /logs/infer/infer-demo.log"

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#!/usr/bin/env bash
set -euo pipefail
# 获取fluent-bit-host02容器名称
container_name="logging-mvp-fluent-bit-host02-1"
# 检查容器是否存在并运行
if ! docker ps | grep -q "$container_name"; then
echo "[ERROR] Fluent Bit容器 $container_name 未运行"
exit 1
fi
# 创建日志目录
docker exec "$container_name" mkdir -p /logs/train /logs/infer
# 写入训练日志 (host02)
docker exec "$container_name" sh -c "printf '%s INFO [host02] training step=1 loss=1.45 model=gpt\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
docker exec "$container_name" sh -c "printf '%s INFO [host02] training step=2 loss=1.38 model=gpt\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
docker exec "$container_name" sh -c "printf '%s INFO [host02] training step=3 loss=1.32 model=gpt\n' \"\$(date '+%F %T')\" >> /logs/train/train-demo.log"
# 写入推理日志 (host02)
docker exec "$container_name" sh -c "printf '%s WARN [host02] inference slow on batch=5 latency=2.3s\n' \"\$(date '+%F %T')\" >> /logs/infer/infer-demo.log"
docker exec "$container_name" sh -c "printf '%s INFO [host02] inference completed batch=6 latency=0.8s\n' \"\$(date '+%F %T')\" >> /logs/infer/infer-demo.log"
echo "[OK] 已通过docker exec写入测试日志到 host02 容器内:"
echo " - /logs/train/train-demo.log"
echo " - /logs/infer/infer-demo.log"

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#!/usr/bin/env bash
set -euo pipefail
ES="${ES:-http://localhost:9200}"
echo "[i] 查询 ES 端点:$ES"
curl -fsS "$ES/_cat/indices?v" | egrep 'train-|infer-|logstash' || true
printf "train-* 计数:"; curl -fsS "$ES/train-*/_count" | sed -E 's/.*"count":([0-9]+).*/\1/'; echo
printf "infer-* 计数:"; curl -fsS "$ES/infer-*/_count" | sed -E 's/.*"count":([0-9]+).*/\1/'; echo

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#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")/.."
compose_cmd="docker compose"
if ! $compose_cmd version >/dev/null 2>&1; then
if command -v docker-compose >/dev/null 2>&1; then compose_cmd="docker-compose"; else
echo "需要 Docker Compose,请安装后重试" >&2; exit 1; fi
fi
$compose_cmd -p logging-mvp down
echo "[OK] 已停止所有容器"
# 清理private目录内容
echo "[INFO] 清理private目录内容..."
cd "$(dirname "$0")/.."
if [ -d "private" ]; then
# 删除private目录及其所有内容
rm -rf private
echo "[OK] 已清理private目录"
else
echo "[INFO] private目录不存在,无需清理"
fi

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#!/usr/bin/env bash
set -euo pipefail
echo "======================================="
echo "ARGUS DNS监控功能测试"
echo "======================================="
echo ""
# 记录测试开始时间
test_start_time=$(date +%s)
# 函数:显示测试步骤
show_step() {
echo ""
echo "🔄 Step $1: $2"
echo "----------------------------------------"
}
# 函数:验证步骤结果
verify_step() {
if [ $? -eq 0 ]; then
echo "✅ $1 - SUCCESS"
else
echo "❌ $1 - FAILED"
exit 1
fi
}
# 函数:等待服务就绪
wait_for_services() {
echo "[INFO] Waiting for services to be ready..."
local max_attempts=60
local attempt=1
while [ $attempt -le $max_attempts ]; do
if curl -fs http://localhost:9200/_cluster/health >/dev/null 2>&1 && \
curl -fs http://localhost:5601/api/status >/dev/null 2>&1; then
echo "[OK] Services are ready!"
return 0
fi
echo " Waiting for services... ($attempt/$max_attempts)"
sleep 5
((attempt++))
done
echo "[ERROR] Services not ready after $max_attempts attempts"
return 1
}
# 函数:检查容器中的/etc/resolv.conf
check_resolv_conf() {
local service_name=$1
local expected_dns=$2
echo "[INFO] 检查 $service_name 容器的 /etc/resolv.conf..."
local resolv_content=$(docker exec "${service_name}" cat /etc/resolv.conf 2>/dev/null || echo "")
if echo "$resolv_content" | grep -q "nameserver $expected_dns"; then
echo "✅ $service_name resolv.conf contains nameserver $expected_dns"
return 0
else
echo "❌ $service_name resolv.conf does not contain nameserver $expected_dns"
echo "实际内容:"
echo "$resolv_content"
return 1
fi
}
# 函数:检查DNS监控日志
check_dns_monitor_logs() {
local service_name=$1
echo "[INFO] 检查 $service_name 的DNS监控日志..."
local dns_logs=$(docker exec "$service_name" tail -n 20 /var/log/supervisor/dns-monitor.log 2>/dev/null || echo "")
if [ -n "$dns_logs" ]; then
echo "✅ $service_name DNS监控日志存在"
echo "最近的日志:"
echo "$dns_logs"
return 0
else
echo "❌ $service_name DNS监控日志为空或不存在"
return 1
fi
}
# 函数:确保目录结构存在
ensure_directories() {
echo "[INFO] 确保目录结构存在..."
# 确保目录存在
mkdir -p ./private/argus/etc/
echo "✅ 目录结构准备完成(注:使用真实的update-dns.sh脚本)"
}
# 开始DNS监控测试
show_step "1" "Bootstrap - Initialize environment"
./scripts/01_bootstrap.sh
verify_step "Bootstrap"
# 确保目录结构
ensure_directories
show_step "2" "Startup - Start all services"
./scripts/02_up.sh
verify_step "Service startup"
# 等待服务完全就绪
wait_for_services || exit 1
show_step "3" "Create initial DNS configuration"
# 创建初始的DNS配置文件 - 只有一个IP
echo "[INFO] 创建初始的dns.conf文件 (8.8.8.8)..."
cat > ./private/argus/etc/dns.conf << 'EOF'
8.8.8.8
EOF
echo "✅ 初始dns.conf文件创建成功 (8.8.8.8)"
verify_step "Initial DNS configuration creation"
# 等待DNS监控检测到配置文件
echo "[INFO] 等待DNS监控检测并处理初始配置..."
sleep 15
show_step "4" "Verify initial DNS configuration processing"
# 检查两个容器的DNS监控日志
check_dns_monitor_logs "logging-mvp-es-1"
verify_step "Elasticsearch DNS monitor logs"
check_dns_monitor_logs "logging-mvp-kibana-1"
verify_step "Kibana DNS monitor logs"
# 检查resolv.conf是否包含新的DNS服务器
check_resolv_conf "logging-mvp-es-1" "8.8.8.8"
verify_step "Elasticsearch resolv.conf initial check"
check_resolv_conf "logging-mvp-kibana-1" "8.8.8.8"
verify_step "Kibana resolv.conf initial check"
show_step "5" "Modify DNS configuration and test auto-update"
# 修改DNS配置文件 - 改为另一个IP
echo "[INFO] 修改dns.conf文件,改为1.1.1.1..."
cat > ./private/argus/etc/dns.conf << 'EOF'
1.1.1.1
EOF
echo "✅ dns.conf文件更新成功,改为1.1.1.1"
# 等待DNS监控检测到配置变化
echo "[INFO] 等待DNS监控检测配置变化并执行更新..."
sleep 15
show_step "6" "Verify DNS configuration auto-update"
# 再次检查DNS监控日志,应该看到配置变化检测
echo "[INFO] 检查DNS监控是否检测到配置变化..."
# 检查elasticsearch容器
echo "[INFO] 检查elasticsearch容器的DNS监控日志(最近30行)..."
docker exec logging-mvp-es-1 tail -n 30 /var/log/supervisor/dns-monitor.log || true
# 检查kibana容器
echo "[INFO] 检查kibana容器的DNS监控日志(最近30行)..."
docker exec logging-mvp-kibana-1 tail -n 30 /var/log/supervisor/dns-monitor.log || true
# 验证新的DNS服务器是否被添加到resolv.conf
check_resolv_conf "logging-mvp-es-1" "1.1.1.1"
verify_step "Elasticsearch resolv.conf after update"
check_resolv_conf "logging-mvp-kibana-1" "1.1.1.1"
verify_step "Kibana resolv.conf after update"
show_step "7" "Final verification - Check DNS configuration"
# 最终验证DNS配置
echo "[INFO] 最终验证elasticsearch容器的resolv.conf..."
docker exec logging-mvp-es-1 cat /etc/resolv.conf
echo "[INFO] 最终验证kibana容器的resolv.conf..."
docker exec logging-mvp-kibana-1 cat /etc/resolv.conf
echo "[INFO] 最终dns.conf内容:"
cat ./private/argus/etc/dns.conf
verify_step "Final DNS configuration verification"
show_step "8" "Cleanup - Stop all services"
./scripts/05_down.sh
verify_step "Service cleanup"
# 清理测试文件
rm -f ./private/argus/etc/dns.conf
# 注:不删除update-dns.sh,因为这是真实的脚本
# 计算总测试时间
test_end_time=$(date +%s)
total_time=$((test_end_time - test_start_time))
echo ""
echo "======================================="
echo "🎉 DNS监控功能测试完成!"
echo "======================================="
echo "📊 测试总结:"
echo " • 总耗时: ${total_time}秒"
echo " • 初始DNS配置: 8.8.8.8"
echo " • 更新DNS配置: 1.1.1.1"
echo " • DNS监控脚本正常工作"
echo " • 容器resolv.conf自动覆盖更新成功"
echo ""
echo "✅ DNS自动更新功能测试通过!"
echo ""

169
src/log/tests/scripts/e2e_test.sh Executable file
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#!/usr/bin/env bash
set -euo pipefail
echo "======================================="
echo "ARGUS Log System End-to-End Test"
echo "======================================="
echo ""
# 记录测试开始时间
test_start_time=$(date +%s)
# 函数:获取ES中的日志计数
get_log_count() {
local train_count=$(curl -s "http://localhost:9200/train-*/_count" 2>/dev/null | grep -o '"count":[0-9]*' | cut -d':' -f2 || echo "0")
local infer_count=$(curl -s "http://localhost:9200/infer-*/_count" 2>/dev/null | grep -o '"count":[0-9]*' | cut -d':' -f2 || echo "0")
echo "$((train_count + infer_count))"
}
# 函数:等待服务就绪
wait_for_services() {
echo "[INFO] Waiting for all services to be ready..."
local max_attempts=60
local attempt=1
while [ $attempt -le $max_attempts ]; do
if curl -fs http://localhost:9200/_cluster/health >/dev/null 2>&1 && \
curl -fs http://localhost:5601/api/status >/dev/null 2>&1 && \
curl -fs http://localhost:2020/api/v2/metrics >/dev/null 2>&1 && \
curl -fs http://localhost:2021/api/v2/metrics >/dev/null 2>&1; then
echo "[OK] All services are ready!"
return 0
fi
echo " Waiting for services... ($attempt/$max_attempts)"
sleep 5
((attempt++))
done
echo "[ERROR] Services not ready after $max_attempts attempts"
return 1
}
# 函数:显示测试步骤
show_step() {
echo ""
echo "🔄 Step $1: $2"
echo "----------------------------------------"
}
# 函数:验证步骤结果
verify_step() {
if [ $? -eq 0 ]; then
echo "✅ $1 - SUCCESS"
else
echo "❌ $1 - FAILED"
exit 1
fi
}
# 开始端到端测试
show_step "1" "Bootstrap - Initialize environment"
./scripts/01_bootstrap.sh
verify_step "Bootstrap"
show_step "2" "Startup - Start all services"
./scripts/02_up.sh
verify_step "Service startup"
# 等待服务完全就绪
wait_for_services || exit 1
# 记录发送测试数据前的日志计数
initial_count=$(get_log_count)
echo "[INFO] Initial log count: $initial_count"
show_step "3a" "Send test data - Host01"
./scripts/03_send_test_host01.sh
verify_step "Test data sending (host01)"
show_step "3b" "Send test data - Host02"
./scripts/03_send_test_host02.sh
verify_step "Test data sending (host02)"
# 等待数据被处理
echo "[INFO] Waiting for data to be processed..."
sleep 10
show_step "4" "Verify data - Query Elasticsearch"
./scripts/04_query_es.sh
verify_step "Data verification"
# 记录发送测试数据后的日志计数
final_count=$(get_log_count)
echo "[INFO] Final log count: $final_count"
# 验证日志数量是否增加
if [ "$final_count" -gt "$initial_count" ]; then
added_logs=$((final_count - initial_count))
echo "✅ Log count verification - SUCCESS: Added $added_logs logs (from $initial_count to $final_count)"
else
echo "❌ Log count verification - FAILED: Expected count to increase, but got $initial_count -> $final_count"
exit 1
fi
# 验证预期的最小日志数量(每个主机应该发送一些日志)
expected_min_logs=4 # 至少应该有几条日志
if [ "$final_count" -ge "$expected_min_logs" ]; then
echo "✅ Minimum log threshold - SUCCESS: $final_count logs (>= $expected_min_logs expected)"
else
echo "❌ Minimum log threshold - FAILED: Only $final_count logs (>= $expected_min_logs expected)"
exit 1
fi
# 检查服务健康状态
show_step "Health" "Check service health"
echo "[INFO] Checking service health..."
# 检查 Elasticsearch 健康状态
es_health=$(curl -s "http://localhost:9200/_cluster/health" | grep -o '"status":"[^"]*"' | cut -d'"' -f4)
if [ "$es_health" = "green" ] || [ "$es_health" = "yellow" ]; then
echo "✅ Elasticsearch health: $es_health"
else
echo "❌ Elasticsearch health: $es_health"
fi
# 检查 Kibana 状态
if curl -fs "http://localhost:5601/api/status" >/dev/null 2>&1; then
kb_status="available"
echo "✅ Kibana status: $kb_status"
else
kb_status="unavailable"
echo "⚠️ Kibana status: $kb_status"
fi
# 检查 Fluent-Bit 指标
fb_host01_uptime=$(curl -s "http://localhost:2020/api/v2/metrics" | grep "fluentbit_uptime" | head -1 | grep -o "[0-9]\+$" || echo "0")
fb_host02_uptime=$(curl -s "http://localhost:2021/api/v2/metrics" | grep "fluentbit_uptime" | head -1 | grep -o "[0-9]\+$" || echo "0")
if [ "$fb_host01_uptime" -gt 0 ] && [ "$fb_host02_uptime" -gt 0 ]; then
echo "✅ Fluent-Bit services: host01 uptime=${fb_host01_uptime}s, host02 uptime=${fb_host02_uptime}s"
else
echo "⚠️ Fluent-Bit services: host01 uptime=${fb_host01_uptime}s, host02 uptime=${fb_host02_uptime}s"
fi
verify_step "Service health check"
show_step "5" "Cleanup - Stop all services"
./scripts/05_down.sh
verify_step "Service cleanup"
# 计算总测试时间
test_end_time=$(date +%s)
total_time=$((test_end_time - test_start_time))
echo ""
echo "======================================="
echo "🎉 END-TO-END TEST COMPLETED SUCCESSFULLY!"
echo "======================================="
echo "📊 Test Summary:"
echo " • Initial logs: $initial_count"
echo " • Final logs: $final_count"
echo " • Added logs: $added_logs"
echo " • Total time: ${total_time}s"
echo " • ES health: $es_health"
echo " • Kibana status: $kb_status"
echo " • DNS resolv: ✅ Passed (ES domain verified)"
echo " • All services started and stopped successfully"
echo ""
echo "✅ The ARGUS log system is working correctly!"
echo ""