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合并 internal → main: 退款/提现/激活/CI 全面优化 #4

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shanshanzhong147 wants to merge 76 commits from internal into main
pull from: internal
merge into: HI-VPN:main
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.env.example
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# 复制此文件为 .env 并填写真实值 # 复制此文件为 .env 并填写真实值
# cp .env.example .env # cp .env.example .env
# MySQL root 密码（同时需要在 configs/ppanel.yaml 的 MySQL.Password 中填写相同的值）
MYSQL_ROOT_PASSWORD=CHANGE_ME_TO_STRONG_PASSWORD
# Grafana 管理员密码
GRAFANA_PASSWORD=CHANGE_ME_TO_STRONG_PASSWORD
# PPanel Server 镜像标签（由 CI/CD 传入不可变 tag，如 git SHA） # PPanel Server 镜像标签（由 CI/CD 传入不可变 tag，如 git SHA）
PPANEL_SERVER_TAG=CHANGE_ME_TO_GIT_SHA PPANEL_SERVER_TAG=CHANGE_ME_TO_GIT_SHA
# AWS 区域（香港）
AWS_REGION=ap-east-1
# Grafana 公开域名（如需反代）
GRAFANA_DOMAIN=logs-new.hifast.biz
GRAFANA_ROOT_URL=https://logs-new.hifast.biz
deploy/aws/ap-east-1/README.md
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# PPanel 香港区新 AWS 账号部署说明
本目录用于在 **新 AWS 账号** 中按 **香港区 `ap-east-1`** 重建一套全新空环境。
目标架构：
`DNS -> ALB -> WAF -> EC2(Nginx + ppanel-server + Redis + observability) -> RDS MySQL`
## 1. 资源清单
按下面顺序创建资源：
1. VPC
2. 2 个公有子网 + 2 个私有子网
3. Internet Gateway
4. 公有 / 私有路由表
5. 安全组
6. RDS MySQL
7. EC2 本机 Redis Docker
8. EC2
9. ACM 证书
10. ALB + Target Group
11. WAF Web ACL
12. 平行环境域名
建议命名：
- VPC: `ppanel-hk-prod`
- EC2: `ppanel-app-hk-01`
- RDS: `ppanel-mysql-hk`
- Redis container: `hifast-redis`
- ALB: `ppanel-alb-hk`
- WAF: `ppanel-waf-hk`
## 2. 默认规格
### EC2
- Region: `ap-east-1`
- OS: Ubuntu 24.04 LTS
- Instance type: `t4g.large` 起步
- Disk: `gp3 80GB`
- Public subnet: 是
- IAM Role: 允许读取 CloudWatch / SSM（如使用）
- 如果要在 AWS EC2 本机执行 S3 备份：额外允许写入专用备份桶
### RDS MySQL
- Engine: MySQL 8.0
- Class: `db.r7g.xlarge`
- Storage: `gp3 100GB`
- DB name: `hifast`
- Username: `admin`
- Public access: `No`
- Charset: `utf8mb4`
- Backup: `7-14 days`
### Redis
- 部署位置：业务 EC2 本机
- 部署方式：Docker
- 版本：`redis:8.2.1`
- 监听：`0.0.0.0:6379`
- 应用连接：`127.0.0.1:6379`
- 安全组：仅对白名单备用节点或同机应用开放
## 3. 网络与安全组
### 子网布局
- `public-a`, `public-b`: ALB / EC2
- `private-a`, `private-b`: RDS
### 安全组建议
#### `sg-alb`
- Inbound
- `80/tcp` from `0.0.0.0/0`
- `443/tcp` from `0.0.0.0/0`
- Outbound
- `80/tcp` to `sg-ec2`
#### `sg-ec2`
- Inbound
- `80/tcp` from `sg-alb`
- `22/tcp` from `你的固定运维 IP`
- Outbound
- all
说明：
- 应用容器监听 `127.0.0.1:8080`
- EC2 对外只让 Nginx 监听 `80`
- Grafana / Prometheus / Tempo 仅监听 `127.0.0.1`
#### `sg-rds`
- Inbound
- `3306/tcp` from `sg-ec2`
#### `sg-ec2` 额外说明
- 如果需要外部备用节点复制 Redis，再额外放行：
- `6379/tcp` from `104.238.220.230/32`
## 4. ALB / Target Group / 健康检查
### Target Group
- Type: `Instance`
- Protocol: `HTTP`
- Port: `80`
- Health check path: `/v1/common/heartbeat`
- Success code: `200`
这个路径已由项目现有接口提供，无需额外改代码。
### ALB 监听器
- `80` -> redirect to `443`
- `443` -> forward 到 target group
### ACM
- 在 `ap-east-1` 申请证书
- 先给平行环境域名，例如：
- `api-new.hifast.biz`
- `logs-new.hifast.biz`
## 5. WAF 规则
首版至少启用：
1. `AWSManagedRulesCommonRuleSet`
2. `AWSManagedRulesKnownBadInputsRuleSet`
3. `AWSManagedRulesAmazonIpReputationList`
4. 全站 rate-based rule
5. 针对高风险路径的 rate-based rule
建议的第一版限流：
- 全站：每 IP `2000 / 5 分钟`
- `/v1/public/user/subscribe`：每 IP `300 / 5 分钟`
- 登录 / 注册 / 验证码接口：每 IP `100 / 5 分钟`
节点上报接口建议后续补：
- `/v1/server/status`
- `/v1/server/online`
- `/v1/server/traffic`
优先用节点出口 IP 白名单；没有固定出口 IP 的节点暂时保留 `secret_key`，但不要把它当成唯一防线。
## 6. EC2 文件落地
在 EC2 上建议使用：
- 应用目录：`/opt/ppanel`
- Nginx 配置：`/etc/nginx/sites-available/ppanel-api.conf`
需要上传这些文件 / 目录：
- `docker-compose.cloud.yml`
- `deploy/aws/ap-east-1/configs/ppanel.yaml.example` -> 重命名为 `configs/ppanel.yaml`
- `deploy/aws/ap-east-1/nginx/ppanel-api.conf`
- `grafana/`
- `loki/`
- `prometheus/`
- `tempo/`
- `.env.example` -> 重命名为 `.env`
目标目录示例：
```text
/opt/ppanel/
docker-compose.cloud.yml
.env
configs/ppanel.yaml
grafana/
loki/
prometheus/
tempo/
logs/
cache/
tempo_data/
```
## 7. 应用配置
基线模板见：
- [`configs/ppanel.yaml.example`](./configs/ppanel.yaml.example)
- [`nginx/ppanel-api.conf`](./nginx/ppanel-api.conf)
关键值必须替换：
- `MySQL.Addr`
- `MySQL.Password`
- `Redis.Host`
- `Redis.Pass`
- `JwtAuth.AccessSecret`
- `Administrator.Email`
- `Administrator.Password`
- `AppSignature.AppSecrets.*`
- `device.security_secret`
- `Site.Host`
- `Site.SiteName`
Redis 约定保持不变：
- 业务缓存：DB `0`
- Asynq：DB `5`（代码内部已固定使用）
## 8. 部署步骤
### 8.1 初始化 EC2
把脚本上传到 EC2 后执行：
## 9. 104 灾备节点常用运维脚本
如果你要在 `104.238.220.230` 上执行数据迁移、主从重拉、主库提升，可以直接复用仓库里的这几份脚本：
- 数据导出 / 导入交互工具：
- [`deploy/scripts/hifast_data_sync_tool.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_data_sync_tool.sh)
- MySQL 主从运维工具：
- [`deploy/scripts/mysql_replica_ops.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/mysql_replica_ops.sh)
- Redis 主从运维工具：
- [`deploy/scripts/redis_replica_ops.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/redis_replica_ops.sh)
- 统一总入口：
- [`deploy/scripts/hifast_data_sync_tool.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_data_sync_tool.sh)
- 主从运维环境模板：
- [`deploy/aws/ap-east-1/configs/replica-ops.env.example`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/aws/ap-east-1/configs/replica-ops.env.example)
### 9.1 数据迁移工具
支持：
- 备份 MySQL 到 S3
- 备份 Redis 到 S3
- 从正式库导出 MySQL `sql.gz`
- 把 `sql.gz` 导入 AWS RDS
- 从正式 Redis 导出 `RDB`
- 将 `RDB` 导入 Docker Redis 或宿主机 Redis
- 查看 MySQL / Redis 当前主从状态
- 强制重拉 MySQL / Redis 主从
- 把 MySQL / Redis 从库提升为可写主库
示例：
```bash
bash deploy/scripts/hifast_data_sync_tool.sh /root/replica-ops.env
```
```bash
chmod +x deploy/scripts/bootstrap_aws_ec2.sh
sudo APP_DIR=/opt/ppanel deploy/scripts/bootstrap_aws_ec2.sh
```
### 8.2 安装 Nginx 配置
```bash
sudo cp deploy/aws/ap-east-1/nginx/ppanel-api.conf /etc/nginx/sites-available/ppanel-api.conf
sudo ln -sf /etc/nginx/sites-available/ppanel-api.conf /etc/nginx/sites-enabled/ppanel-api.conf
sudo nginx -t
sudo systemctl reload nginx
```
### 8.3 启动容器
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d
```
### 8.4 预检
```bash
chmod +x deploy/scripts/preflight_aws_hk.sh
APP_DIR=/opt/ppanel \
RDS_HOST=<new-rds-endpoint> \
REDIS_HOST=127.0.0.1 \
deploy/scripts/preflight_aws_hk.sh
```
## 9. 平行环境验证
先验证 `api-new.hifast.biz`，不要直接切正式域名。
必测项：
1. `ALB target` 为 healthy
2. `GET /v1/common/heartbeat` 返回 200
3. 管理员登录
4. 用户注册 / 登录
5. 订阅查询
6. 节点上报 `/v1/server/status`
7. 本机 Redis 可写缓存
8. Asynq 可入队并消费
## 10. 正式切换
切换前检查：
1. ALB 5xx 为 0
2. EC2 CPU / Memory 正常
3. RDS CPU / Connections 正常
4. 本机 Redis CPU / Connections / Memory 正常
5. WAF 已挂到 ALB
6. EC2 安全组没有对公网放 `8080/3333/9090/4317`
切换方式：
1. 保持新环境先跑平行域名
2. 正式域名切到新 ALB
3. 观察至少 1 小时
4. 确认无误后再处理旧环境
## 11. 监控建议
至少建这些 CloudWatch / Grafana 观测项：
- ALB `RequestCount`, `HTTPCode_ELB_5XX_Count`, `TargetResponseTime`
- EC2 `CPUUtilization`, `NetworkIn`, `NetworkOut`, `StatusCheckFailed`
- RDS `CPUUtilization`, `DatabaseConnections`, `ReadLatency`, `WriteLatency`
- Redis 容器 CPU / Memory / restart count
## 12. 这次方案的边界
本目录交付的是：
- 香港区新账号的部署模板
- 新空环境启动与验证流程
- ALB / WAF / EC2 / RDS / 本机 Redis 的落地约定
不包含：
- 旧数据迁移
- Terraform / CloudFormation 自动建资源
- Redis 托管版改造
- 多活 / 自动扩缩容
## 13. S3 备份补强
当前已落地的 S3 备份桶：
- `hifast-prod-backups-200810848252-ap-east-1`
建议与现网结合方式：
1. `RDS automated backup` 继续保留，作为第一层恢复能力
2. `104` 外部 MySQL 从库执行逻辑备份并上传到 S3，作为第二层可下载备份
3. `104` 外部 Redis 从库按需导出 `RDB` 到 S3，补齐缓存类灾备材料
仓库中已补充：
- 环境变量模板：[`configs/backup-to-s3.env.example`](./configs/backup-to-s3.env.example)
- MySQL 备份脚本：[`../../scripts/mysql_backup_to_s3.sh`](../../scripts/mysql_backup_to_s3.sh)
- Redis 备份脚本：[`../../scripts/redis_rdb_backup_to_s3.sh`](../../scripts/redis_rdb_backup_to_s3.sh)
建议把 MySQL 备份脚本优先部署到 `104`，因为它直接连接本地只读从库，对 AWS 主库扰动最小。
deploy/aws/ap-east-1/configs/backup-to-s3.env.example
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AWS_REGION=ap-east-1
S3_BUCKET=hifast-prod-backups-200810848252-ap-east-1
S3_PREFIX=mysql
BACKUP_DIR=/var/backups/hifast
HOST_TAG=104-standby
KEEP_LOCAL_DAYS=3
CHECK_REPLICA=1
MYSQL_HOST=127.0.0.1
MYSQL_PORT=3306
MYSQL_USER=backup_reader
MYSQL_PASSWORD=CHANGE_ME
MYSQL_SOCKET=
MYSQL_DATABASE=hifast
REDIS_HOST=127.0.0.1
REDIS_PORT=6379
REDIS_PASSWORD=CHANGE_ME
deploy/aws/ap-east-1/configs/mysql-seed-primary-and-replica.env.example
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PRIMARY_HOST=hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com
PRIMARY_PORT=3306
PRIMARY_USER=admin
PRIMARY_PASSWORD=CHANGE_ME
PRIMARY_DB=hifast
PRIMARY_REPL_USER=repl
PRIMARY_REPL_PASSWORD=CHANGE_ME
PRIMARY_REPL_HOST=104.238.220.230
PRIMARY_BINLOG_RETENTION_HOURS=24
REPLICA_HOST=127.0.0.1
REPLICA_PORT=3306
REPLICA_USER=root
REPLICA_PASSWORD=
REPLICA_SOCKET=/var/run/mysqld/mysqld.sock
REPLICA_DB=hifast
REPLICA_SOURCE_SSL=1
DUMP_FILE=
deploy/aws/ap-east-1/configs/ppanel.yaml.example
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Host: 0.0.0.0
Port: 8080
Debug: false
JwtAuth:
AccessSecret: CHANGE_ME_TO_A_LONG_RANDOM_SECRET
AccessExpire: 604800
Logger:
ServiceName: PPanel
Mode: console
Encoding: plain
TimeFormat: "2006-01-02 15:04:05.000"
Path: logs
Level: info
MaxContentLength: 0
Compress: false
Stat: true
KeepDays: 7
StackCooldownMillis: 100
MaxBackups: 7
MaxSize: 100
Rotation: daily
FileTimeFormat: "2006-01-02T15:04:05.000Z07:00"
MySQL:
Addr: YOUR_RDS_ENDPOINT:3306
Dbname: hifast
Username: admin
Password: CHANGE_ME_TO_RDS_PASSWORD
Config: charset=utf8mb4&parseTime=true&loc=Asia%2FShanghai
MaxIdleConns: 10
MaxOpenConns: 100
SlowThreshold: 1000
Redis:
Host: 127.0.0.1:6379
Pass: CHANGE_ME_TO_REDIS_PASSWORD
DB: 0
PoolSize: 100
MinIdleConns: 10
MaxRetries: 3
PoolTimeout: 4
IdleTimeout: 300
MaxConnAge: 0
DialTimeout: 5
ReadTimeout: 3
WriteTimeout: 3
Trace:
Name: ppanel-server
Endpoint: 127.0.0.1:4317
Sampler: 0.1
Batcher: otlpgrpc
Site:
Host: api-new.hifast.biz
SiteName: HiFastVPN
Administrator:
Email: admin@example.com
Password: CHANGE_ME_TO_STRONG_ADMIN_PASSWORD
Telegram:
Enable: false
BotID: 0
BotName: ""
BotToken: ""
GroupChatID: ""
EnableNotify: false
WebHookDomain: ""
Kutt:
Enable: false
ApiURL: ""
ApiKey: ""
TargetURL: ""
Domain: ""
OpenInstall:
Enable: false
AppKey: ""
ApiKey: ""
Loki:
Enable: true
URL: "http://localhost:3100"
AppSignature:
AppSecrets:
android-client: CHANGE_ME_ANDROID_SIGNATURE_SECRET
ios-client: CHANGE_ME_IOS_SIGNATURE_SECRET
web-client: CHANGE_ME_WEB_SIGNATURE_SECRET
ValidWindowSeconds: 300
SkipPrefixes:
- /v1/notify/
- /v1/iap/notifications
- /v1/telegram/webhook
- /v1/subscribe/config
Signature:
EnableSignature: false
device:
enable: true
security_secret: CHANGE_ME_DEVICE_SECURITY_SECRET
Register:
EnableTrial: true
EnableTrialEmailWhitelist: true
TrialEmailDomainWhitelist: "gmail.com,outlook.com,icloud.com,qq.com,163.com"
deploy/aws/ap-east-1/configs/replica-ops.env.example
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MYSQL_HOST=127.0.0.1
MYSQL_PORT=3306
MYSQL_USER=root
MYSQL_PASSWORD=CHANGE_ME
MYSQL_SOCKET=
REPL_SOURCE_HOST=hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com
REPL_SOURCE_PORT=3306
REPL_SOURCE_USER=repl
REPL_SOURCE_PASSWORD=CHANGE_ME
REPL_SOURCE_SSL=1
REPL_SOURCE_LOG_FILE=
REPL_SOURCE_LOG_POS=
REPL_SOURCE_AUTO_POSITION=1
REDIS_HOST=127.0.0.1
REDIS_PORT=6379
REDIS_PASSWORD=CHANGE_ME
REDIS_SOURCE_HOST=18.163.33.75
REDIS_SOURCE_PORT=6379
REDIS_SOURCE_USER=
REDIS_SOURCE_PASSWORD=CHANGE_ME
deploy/aws/ap-east-1/nginx/ppanel-api.conf
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server {
listen 80 default_server;
listen [::]:80 default_server;
server_name _;
client_max_body_size 20m;
access_log /var/log/nginx/ppanel-access.log;
error_log /var/log/nginx/ppanel-error.log warn;
location / {
proxy_http_version 1.1;
proxy_pass http://127.0.0.1:8080;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Port $server_port;
proxy_connect_timeout 10s;
proxy_send_timeout 60s;
proxy_read_timeout 60s;
}
location = /nginx_status {
stub_status;
access_log off;
allow 127.0.0.1;
deny all;
}
}
deploy/aws/ap-northeast-1/README.md
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# PPanel 日本东京区 AWS 部署说明
本目录用于在 **AWS 日本东京区 `ap-northeast-1`** 重建一套全新生产环境，并承接当前香港区 `ap-east-1` 的正式迁移。
如果你要看“当前已经真实跑起来的东京架构”，优先看：
- [`ops/hifast-current-architecture-zh.md`](/Users/Apple/code_vpn/vpn/ppanel-server/ops/hifast-current-architecture-zh.md)
- [`configs/resource-inventory.current.md`](./configs/resource-inventory.current.md)
这份 README 更偏向：
- 目标架构
- 资源规划
- 部署方法
- 后续待完成项
目标架构：
`DNS -> ALB -> WAF -> EC2(Nginx + ppanel-server + Redis + observability) -> RDS MySQL`
灾备链路：
`RDS MySQL / EC2 Redis -> 104.238.220.230 外部灾备`
当前仓库内已补充：
- 东京基础设施参数模板：[`configs/aws-jp-infra.env.example`](./configs/aws-jp-infra.env.example)
- 东京真实实施状态登记：[`configs/resource-inventory.current.md`](./configs/resource-inventory.current.md)
- 东京底座资源创建脚本：[`../../scripts/aws_jp_create_base_infra.sh`](../../scripts/aws_jp_create_base_infra.sh)
- 东京资源状态检查脚本：[`../../scripts/aws_jp_describe_state.sh`](../../scripts/aws_jp_describe_state.sh)
- MySQL 备份脚本：[`../../scripts/mysql_backup_to_s3.sh`](../../scripts/mysql_backup_to_s3.sh)
- 10 分钟 MySQL 备份定时器安装脚本：[`../../scripts/install_mysql_backup_timer.sh`](../../scripts/install_mysql_backup_timer.sh)
## 1. 资源清单
按下面顺序创建资源：
1. VPC
2. 2 个公有子网 + 2 个私有子网
3. Internet Gateway
4. 公有 / 私有路由表
5. 安全组
6. RDS MySQL
7. EC2 本机 Redis Docker
8. EC2
9. ACM 证书
10. ALB + Target Group
11. WAF Web ACL
12. 东京平行环境域名
13. 东京 S3 备份桶
建议命名：
- VPC: `ppanel-jp-prod`
- EC2: `ppanel-app-jp-01`
- RDS: `ppanel-mysql-jp`
- Redis container: `hifast-redis`
- ALB: `ppanel-alb-jp`
- WAF: `ppanel-waf-jp`
- S3: `hifast-prod-backups-200810848252-ap-northeast-1`
## 2. 默认规格
### EC2
- Region: `ap-northeast-1`
- OS: Ubuntu 24.04 LTS
- Instance type: `t4g.large`
- Disk: `gp3 80GB`
- Public subnet: 是
- IAM Role:
- 允许读取 CloudWatch / SSM（如使用）
- 如果要在东京 EC2 上执行 S3 备份：额外允许写入东京备份桶
### RDS MySQL
- Engine: `MySQL 8.4`
- Class: `db.r7g.xlarge`
- Storage: `gp3 100GB`
- DB name: `hifast`
- Username: `admin`
- Public access: `Yes`
- Charset: `utf8mb4`
- Backup retention: `7-14 days`
- Deletion protection: `On`
- Multi-AZ: `Yes`（当前按 2 实例 Multi-AZ 创建）
说明：
- 当前东京 RDS 需要允许 `104.238.220.230` 从公网直连 `3306`，用于外部 MySQL 从库复制
- 因此本阶段 RDS 使用 `public subnet group + Publicly accessible = Yes`
- 访问面只通过 `sg-rds` 严格限制到业务 EC2 安全组和 `104.238.220.230/32`
### Redis
- 部署位置：业务 EC2 本机
- 部署方式：Docker
- 版本：`redis:8.2.1`
- 监听：`0.0.0.0:6379`
- 应用连接：`127.0.0.1:6379`
- 安全组：仅对白名单备用节点 `104.238.220.230/32` 或同机应用开放
## 3. 网络与安全组
### 子网布局
- `public-a`, `public-c`: ALB / EC2
- `private-a`, `private-c`: RDS
说明：
- 东京优先使用 `ap-northeast-1a` 和 `ap-northeast-1c`
- 如果账户映射不同，也可以用任意 2 个可用区，但公私网必须各 2 个子网
### 安全组建议
#### `sg-alb`
- Inbound
- `80/tcp` from `0.0.0.0/0`
- `443/tcp` from `0.0.0.0/0`
- Outbound
- `80/tcp` to `sg-ec2`
#### `sg-ec2`
- Inbound
- `80/tcp` from `sg-alb`
- `22/tcp` from `你的固定运维 IP`
- `6379/tcp` from `104.238.220.230/32`
- Outbound
- all
说明：
- 应用容器监听 `127.0.0.1:8080`
- EC2 对外只让 Nginx 监听 `80`
- Grafana / Prometheus / Tempo 仅监听 `127.0.0.1`
#### `sg-rds`
- Inbound
- `3306/tcp` from `sg-ec2`
- `3306/tcp` from `104.238.220.230/32`
## 4. ALB / Target Group / 健康检查
### Target Group
- Type: `Instance`
- Protocol: `HTTP`
- Port: `80`
- Health check path: `/v1/common/heartbeat`
- Success code: `200`
### ALB 监听器
- `80` -> redirect to `443`
- `443` -> forward 到 target group
### ACM
- 在 `ap-northeast-1` 重新申请证书
- 先给平行环境域名，例如：
- `api-jp.hifast.biz`
- `logs-jp.hifast.biz`
## 5. WAF 规则
首版至少启用：
1. `AWSManagedRulesCommonRuleSet`
2. `AWSManagedRulesKnownBadInputsRuleSet`
3. `AWSManagedRulesAmazonIpReputationList`
4. 全站 rate-based rule
5. 针对高风险路径的 rate-based rule
建议的第一版限流：
- 全站：每 IP `2000 / 5 分钟`
- `/v1/public/user/subscribe`：每 IP `300 / 5 分钟`
- 登录 / 注册 / 验证码接口：每 IP `100 / 5 分钟`
节点上报接口建议后续补：
- `/v1/server/status`
- `/v1/server/online`
- `/v1/server/traffic`
## 6. EC2 文件落地
在 EC2 上建议使用：
- 应用目录：`/opt/ppanel`
- Nginx 配置：`/etc/nginx/sites-available/ppanel-api.conf`
需要上传这些文件 / 目录：
- `docker-compose.cloud.yml`
- `deploy/aws/ap-northeast-1/configs/ppanel.yaml.example` -> 重命名为 `configs/ppanel.yaml`
- `deploy/aws/ap-northeast-1/nginx/ppanel-api.conf`
- `grafana/`
- `loki/`
- `prometheus/`
- `tempo/`
- `.env.example` -> 重命名为 `.env`
目标目录示例：
```text
/opt/ppanel/
docker-compose.cloud.yml
.env
configs/ppanel.yaml
grafana/
loki/
prometheus/
tempo/
logs/
cache/
tempo_data/
```
## 7. 应用配置
基线模板见：
- [`configs/ppanel.yaml.example`](./configs/ppanel.yaml.example)
- [`nginx/ppanel-api.conf`](./nginx/ppanel-api.conf)
关键值必须替换：
- `MySQL.Addr`
- `MySQL.Password`
- `Redis.Host`
- `Redis.Pass`
- `JwtAuth.AccessSecret`
- `Administrator.Email`
- `Administrator.Password`
- `AppSignature.AppSecrets.*`
- `device.security_secret`
- `Site.Host`
- `Site.SiteName`
Redis 约定保持不变：
- 业务缓存：DB `0`
- Asynq：DB `5`
## 8. 部署步骤
### 8.0 创建东京基础设施
如果本机或跳板机已经配置好 AWS CLI 凭据，可以先直接执行：
```bash
cp deploy/aws/ap-northeast-1/configs/aws-jp-infra.env.example /root/aws-jp-infra.env
chmod 600 /root/aws-jp-infra.env
vim /root/aws-jp-infra.env
chmod +x deploy/scripts/aws_jp_create_base_infra.sh
bash deploy/scripts/aws_jp_create_base_infra.sh /root/aws-jp-infra.env
```
执行后可用下面命令随时核对东京底座状态：
```bash
chmod +x deploy/scripts/aws_jp_describe_state.sh
bash deploy/scripts/aws_jp_describe_state.sh /root/aws-jp-infra.env
```
### 8.1 初始化 EC2
把脚本上传到东京 EC2 后执行：
```bash
chmod +x deploy/scripts/bootstrap_aws_ec2.sh
sudo APP_DIR=/opt/ppanel APP_USER=ubuntu deploy/scripts/bootstrap_aws_ec2.sh
```
### 8.2 安装 Nginx 配置
```bash
sudo cp deploy/aws/ap-northeast-1/nginx/ppanel-api.conf /etc/nginx/sites-available/ppanel-api.conf
sudo ln -sf /etc/nginx/sites-available/ppanel-api.conf /etc/nginx/sites-enabled/ppanel-api.conf
sudo nginx -t
sudo systemctl reload nginx
```
### 8.3 启动容器
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d
```
### 8.4 预检
```bash
chmod +x deploy/scripts/preflight_aws_jp.sh
APP_DIR=/opt/ppanel \
RDS_HOST=<TOKYO_RDS_ENDPOINT> \
REDIS_HOST=127.0.0.1 \
deploy/scripts/preflight_aws_jp.sh
```
## 9. 数据迁移与切换
正式迁移请按：
- [`ops/hifast-aws-jp-migration-runbook-zh.md`](/Users/Apple/code_vpn/vpn/ppanel-server/ops/hifast-aws-jp-migration-runbook-zh.md)
执行。
核心原则：
- 先搭平行环境
- 停机后再导出香港主数据
- 东京验收通过后再切正式域名
- 切换后再重挂 `104` 灾备
## 10. 104 灾备节点常用模板
如果迁移完成后要把 `104.238.220.230` 重挂为东京主站从库，可复用：
- [`deploy/scripts/hifast_mysql_seed_primary_and_replica.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_mysql_seed_primary_and_replica.sh)
- [`deploy/scripts/hifast_mysql_attach_replica.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_mysql_attach_replica.sh)
- [`deploy/scripts/hifast_redis_attach_replica.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_redis_attach_replica.sh)
- [`deploy/scripts/hifast_data_sync_tool.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_data_sync_tool.sh)
- [`configs/replica-ops.env.example`](./configs/replica-ops.env.example)
## 11. 东京资源创建前置检查
在 AWS 控制台里至少先确认：
- 东京区已启用
- `ap-northeast-1` 可创建 `t4g.large`
- `ap-northeast-1` RDS 可创建 `db.r7g.xlarge`
- ACM / ALB / WAF / S3 服务在东京区可正常使用
- Tokyo 对应配额满足：
- On-Demand Standard vCPU
- ALB 数量
- Elastic IP（如需）
- RDS 实例数
## 12. 当前已知真实进度
截至 `2026-05-20`，已知状态如下：
- 东京 VPC `ppanel-jp-prod` 已创建
- VPC ID: `vpc-0846b23b4a7d64eac`
- VPC CIDR: `10.20.0.0/16`
- 4 个子网在 AWS 控制台里曾填写完成，但提交时控制台 session 失效
- 因此：
- 子网是否真正创建成功，需要重新核实
- IGW / 路由表 / 安全组 / RDS / EC2 / ALB / WAF 都应按“未完成”处理，重新复核
实时状态请以后续更新的 [`configs/resource-inventory.current.md`](./configs/resource-inventory.current.md) 为准。
deploy/aws/ap-northeast-1/configs/aws-jp-infra.env.example
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@@ -1,55 +0,0 @@
AWS_REGION=ap-northeast-1
AWS_ACCOUNT_ID=200810848252
VPC_NAME=ppanel-jp-prod
VPC_ID=
VPC_CIDR=10.20.0.0/16
PUBLIC_SUBNET_A_NAME=ppanel-jp-public-a
PUBLIC_SUBNET_A_AZ=ap-northeast-1a
PUBLIC_SUBNET_A_CIDR=10.20.0.0/24
PUBLIC_SUBNET_C_NAME=ppanel-jp-public-c
PUBLIC_SUBNET_C_AZ=ap-northeast-1c
PUBLIC_SUBNET_C_CIDR=10.20.1.0/24
PRIVATE_SUBNET_A_NAME=ppanel-jp-private-a
PRIVATE_SUBNET_A_AZ=ap-northeast-1a
PRIVATE_SUBNET_A_CIDR=10.20.10.0/24
PRIVATE_SUBNET_C_NAME=ppanel-jp-private-c
PRIVATE_SUBNET_C_AZ=ap-northeast-1c
PRIVATE_SUBNET_C_CIDR=10.20.11.0/24
IGW_NAME=ppanel-jp-igw
PUBLIC_ROUTE_TABLE_NAME=ppanel-jp-public-rt
PRIVATE_ROUTE_TABLE_NAME=ppanel-jp-private-rt
SG_ALB_NAME=ppanel-jp-sg-alb
SG_EC2_NAME=ppanel-jp-sg-ec2
SG_RDS_NAME=ppanel-jp-sg-rds
OPS_SSH_CIDR=CHANGE_ME_TO_YOUR_FIXED_PUBLIC_IP_OR_CIDR
DR_REPLICA_IP=104.238.220.230/32
EC2_NAME=ppanel-app-jp-01
EC2_AMI_FAMILY=ubuntu-24.04
EC2_INSTANCE_TYPE=t4g.large
EC2_DISK_GB=80
EC2_KEY_PAIR=CHANGE_ME
RDS_IDENTIFIER=ppanel-mysql-jp
RDS_DB_NAME=hifast
RDS_ADMIN_USER=admin
RDS_INSTANCE_CLASS=db.r7g.xlarge
RDS_STORAGE_GB=100
ALB_NAME=ppanel-alb-jp
TARGET_GROUP_NAME=ppanel-tg-jp
WAF_NAME=ppanel-waf-jp
PARALLEL_API_DOMAIN=api-jp.hifast.biz
PARALLEL_LOGS_DOMAIN=logs-jp.hifast.biz
PRODUCTION_API_DOMAIN=CHANGE_ME
S3_BACKUP_BUCKET=hifast-prod-backups-200810848252-ap-northeast-1
deploy/aws/ap-northeast-1/configs/backup-to-s3.env.example
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AWS_REGION=ap-northeast-1
S3_BUCKET=hifast-prod-backups-200810848252-ap-northeast-1
S3_PREFIX=mysql
BACKUP_DIR=/var/backups/hifast
HOST_TAG=104-standby-for-jp
KEEP_LOCAL_DAYS=3
CHECK_REPLICA=1
MYSQL_HOST=127.0.0.1
MYSQL_PORT=3306
MYSQL_USER=backup_reader
MYSQL_PASSWORD=CHANGE_ME
MYSQL_SOCKET=
MYSQL_DATABASE=hifast
REDIS_HOST=127.0.0.1
REDIS_PORT=6379
REDIS_PASSWORD=CHANGE_ME
deploy/aws/ap-northeast-1/configs/mysql-seed-primary-and-replica.env.example
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@@ -1,21 +0,0 @@
PRIMARY_HOST=ppanel-mysql-jp.<CHANGE_ME>.ap-northeast-1.rds.amazonaws.com
PRIMARY_PORT=3306
PRIMARY_USER=admin
PRIMARY_PASSWORD=CHANGE_ME
PRIMARY_DB=hifast
PRIMARY_REPL_USER=repl
PRIMARY_REPL_PASSWORD=CHANGE_ME
PRIMARY_REPL_HOST=104.238.220.230
PRIMARY_BINLOG_RETENTION_HOURS=24
REPLICA_HOST=127.0.0.1
REPLICA_PORT=3306
REPLICA_USER=root
REPLICA_PASSWORD=
REPLICA_SOCKET=/var/run/mysqld/mysqld.sock
REPLICA_DB=hifast
REPLICA_SOURCE_SSL=1
DUMP_FILE=
deploy/aws/ap-northeast-1/configs/ppanel.yaml.example
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Host: 0.0.0.0
Port: 8080
Debug: false
JwtAuth:
AccessSecret: CHANGE_ME_TO_A_LONG_RANDOM_SECRET
AccessExpire: 604800
Logger:
ServiceName: PPanel
Mode: console
Encoding: plain
TimeFormat: "2006-01-02 15:04:05.000"
Path: logs
Level: info
MaxContentLength: 0
Compress: false
Stat: true
KeepDays: 7
StackCooldownMillis: 100
MaxBackups: 7
MaxSize: 100
Rotation: daily
FileTimeFormat: "2006-01-02T15:04:05.000Z07:00"
MySQL:
Addr: YOUR_TOKYO_RDS_ENDPOINT:3306
Dbname: hifast
Username: admin
Password: CHANGE_ME_TO_TOKYO_RDS_PASSWORD
Config: charset=utf8mb4&parseTime=true&loc=Asia%2FTokyo
MaxIdleConns: 10
MaxOpenConns: 100
SlowThreshold: 1000
Redis:
Host: 127.0.0.1:6379
Pass: CHANGE_ME_TO_TOKYO_REDIS_PASSWORD
DB: 0
PoolSize: 100
MinIdleConns: 10
MaxRetries: 3
PoolTimeout: 4
IdleTimeout: 300
MaxConnAge: 0
DialTimeout: 5
ReadTimeout: 3
WriteTimeout: 3
Trace:
Name: ppanel-server
Endpoint: 127.0.0.1:4317
Sampler: 0.1
Batcher: otlpgrpc
Site:
Host: api-jp.hifast.biz
SiteName: HiFastVPN
Administrator:
Email: admin@example.com
Password: CHANGE_ME_TO_STRONG_ADMIN_PASSWORD
Telegram:
Enable: false
BotID: 0
BotName: ""
BotToken: ""
GroupChatID: ""
EnableNotify: false
WebHookDomain: ""
Kutt:
Enable: false
ApiURL: ""
ApiKey: ""
TargetURL: ""
Domain: ""
OpenInstall:
Enable: false
AppKey: ""
ApiKey: ""
Loki:
Enable: true
URL: "http://localhost:3100"
AppSignature:
AppSecrets:
android-client: CHANGE_ME_ANDROID_SIGNATURE_SECRET
ios-client: CHANGE_ME_IOS_SIGNATURE_SECRET
web-client: CHANGE_ME_WEB_SIGNATURE_SECRET
ValidWindowSeconds: 300
SkipPrefixes:
- /v1/notify/
- /v1/iap/notifications
- /v1/telegram/webhook
- /v1/subscribe/config
Signature:
EnableSignature: false
device:
enable: true
security_secret: CHANGE_ME_DEVICE_SECURITY_SECRET
Register:
EnableTrial: true
EnableTrialEmailWhitelist: true
TrialEmailDomainWhitelist: "gmail.com,outlook.com,icloud.com,qq.com,163.com"
deploy/aws/ap-northeast-1/configs/replica-ops.env.example
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MYSQL_HOST=127.0.0.1
MYSQL_PORT=3306
MYSQL_USER=root
MYSQL_PASSWORD=CHANGE_ME
MYSQL_SOCKET=
REPL_SOURCE_HOST=ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com
REPL_SOURCE_PORT=3306
REPL_SOURCE_USER=repl
REPL_SOURCE_PASSWORD=XwWrQGVWtxmXJ3etHmkFvnRSD54MKYer
REPL_SOURCE_SSL=1
REPL_SOURCE_LOG_FILE=mysql-bin-changelog.000189
REPL_SOURCE_LOG_POS=185053
REPL_SOURCE_AUTO_POSITION=1
REDIS_HOST=127.0.0.1
REDIS_PORT=6379
REDIS_PASSWORD=CHANGE_ME
REDIS_SOURCE_HOST=3.114.29.208
REDIS_SOURCE_PORT=6379
REDIS_SOURCE_USER=
REDIS_SOURCE_PASSWORD=hifast67yj
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# Tokyo Resource Inventory
最后更新：`2026-05-21`
这个文件记录当前东京迁移的真实实施状态，不是示例。
## Region
- AWS account: `hifastvpn (200810848252)`
- Region: `ap-northeast-1`
## Current Status
- 东京迁移方案已在仓库内落地为执行资产
- 东京 VPC 已创建
- 东京子网、IGW、路由表已在 AWS 控制台创建并复核
- 东京三层安全组已在 AWS 控制台创建并复核
- 东京 VPC DNS 开关已开启，可支持公网可访问 RDS
- 东京 S3 备份桶已在 AWS 控制台创建并复核
- 东京 ACM 证书请求已创建，等待 DNS 验证
- 东京 RDS MySQL 已创建完成并可用
- 东京业务 EC2 已创建完成并绑定固定 EIP
- 因当前本机没有可用 AWS CLI 凭据，云上资源状态仍需在 AWS 控制台或已登录环境中复查
## Networking
- VPC
- Name: `ppanel-jp-prod`
- VPC ID: `vpc-0846b23b4a7d64eac`
- CIDR: `10.20.0.0/16`
- Status: `created`
- Public subnet A
- Name: `ppanel-jp-public-a`
- AZ: `ap-northeast-1a`
- CIDR: `10.20.0.0/24`
- Subnet ID: `subnet-091232bdb53e71490`
- Status: `created`
- Public subnet C
- Name: `ppanel-jp-public-c`
- AZ: `ap-northeast-1c`
- CIDR: `10.20.1.0/24`
- Subnet ID: `subnet-01ba0975c525ce8cf`
- Status: `created`
- Private subnet A
- Name: `ppanel-jp-private-a`
- AZ: `ap-northeast-1a`
- CIDR: `10.20.10.0/24`
- Subnet ID: `subnet-0bd13111c02f0edbe`
- Status: `created`
- Private subnet C
- Name: `ppanel-jp-private-c`
- AZ: `ap-northeast-1c`
- CIDR: `10.20.11.0/24`
- Subnet ID: `subnet-0d86c5c756dbc84b2`
- Status: `created`
- Internet Gateway
- Name: `ppanel-jp-igw`
- IGW ID: `igw-028041bcbf63b672c`
- Status: `created`
- Public route table
- Name: `ppanel-jp-public-rt`
- Route Table ID: `rtb-061b101080e4800e5`
- Default route: `0.0.0.0/0 -> igw-028041bcbf63b672c`
- Status: `created`
- Private route table
- Name: `ppanel-jp-private-rt`
- Route Table ID: `rtb-0d7a191a515031c45`
- Status: `created`
## Security
- `sg-alb`
- Name: `ppanel-jp-sg-alb`
- Security Group ID: `sg-0b3a23c31041a5a5a`
- Inbound:
- `80/tcp <- 0.0.0.0/0`
- `443/tcp <- 0.0.0.0/0`
- Status: `created`
- `sg-ec2`
- Name: `ppanel-jp-sg-ec2`
- Security Group ID: `sg-01f2a5a81e7505c91`
- Inbound:
- `80/tcp <- sg-0b3a23c31041a5a5a`
- `22/tcp <- 64.118.144.142/32`
- `6379/tcp <- 104.238.220.230/32`
- Status: `created`
- `sg-rds`
- Name: `ppanel-jp-sg-rds`
- Security Group ID: `sg-0b71db1e2c18b57c0`
- Inbound:
- `3306/tcp <- sg-01f2a5a81e7505c91`
- `3306/tcp <- 104.238.220.230/32`
- Status: `created`
## Compute / Database / Edge
- EC2 `ppanel-app-jp-01`:
- Instance ID: `i-07839130074cd7ed9`
- Type: `c7i.xlarge`
- Platform: `Ubuntu 26.04 / Linux`
- AZ: `ap-northeast-1c`
- VPC: `ppanel-jp-prod (vpc-0846b23b4a7d64eac)`
- Subnet: `ppanel-jp-public-c (subnet-01ba0975c525ce8cf)`
- Private IP: `10.20.1.168`
- Public IP / Elastic IP: `3.114.29.208`
- Public DNS: `ec2-3-114-29-208.ap-northeast-1.compute.amazonaws.com`
- Security group: `ppanel-jp-sg-ec2 (sg-01f2a5a81e7505c91)`
- Key pair: `ppanel-jp-key-20260521`
- Root volume: `gp3 100GiB`
- ENI: `eni-08accb427a470c9f7`
- EIP allocation ID: `eipalloc-038b32d5c0119accf`
- EIP association ID: `eipassoc-09184aa9161b6a4d9`
- Status: `running`
- SSH recovery key material: not stored in this repository; keep any recovery keys in an approved secret manager or other secure channel.
- RDS subnet group:
- Name: `ppanel-jp-rds-subnet-group`
- VPC: `vpc-0846b23b4a7d64eac`
- Subnets:
- `subnet-0bd13111c02f0edbe` / `ppanel-jp-private-a`
- `subnet-0d86c5c756dbc84b2` / `ppanel-jp-private-c`
- Status: `created`
- RDS public subnet group:
- Name: `ppanel-jp-rds-public-subnet-group`
- VPC: `vpc-0846b23b4a7d64eac`
- Subnets:
- `subnet-091232bdb53e71490` / `ppanel-jp-public-a`
- `subnet-01ba0975c525ce8cf` / `ppanel-jp-public-c`
- Status: `created`
- RDS `ppanel-mysql-jp`:
- Engine: `MySQL Community 8.4.8`
- Class: `db.r7g.xlarge`
- Storage: `gp3 100GiB`
- Deployment: `Single instance (current actual state)`
- VPC: `ppanel-jp-prod (vpc-0846b23b4a7d64eac)`
- Subnet group: `ppanel-jp-rds-public-subnet-group`
- Security group: `ppanel-jp-sg-rds (sg-0b71db1e2c18b57c0)`
- Master username: `admin`
- Credential management: `self-managed`
- Secrets Manager managed password: `disabled`
- Current master password visibility: `not retrievable from AWS console; reset only`
- Public access: `enabled (set at creation time for external replication)`
- Status: `available`
- Endpoint: `ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com`
- Public IP (resolved via public DNS): `52.196.204.186`
- Connection test from Tokyo EC2:
- `mysql -h ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com -u admin -e "select 1"`
- Result: `ERROR 1045 (28000): Access denied for user 'admin'@'ip-10-20-1-168.ap-northeast-1.compute.internal' (using password: NO)`
- Meaning: `network path and security group are working; only the password is missing`
- Current admin password: `TkyRds20260521!N9mQ8sKe2vLp7Xa`
- External replica prep for `104.238.220.230`:
- binlog retention hours: `24`
- replication user: `repl@104.238.220.230`
- replication password: `XwWrQGVWtxmXJ3etHmkFvnRSD54MKYer`
- current binlog file: `mysql-bin-changelog.000189`
- current binlog position: `185053`
- ALB `ppanel-alb-jp`: `not created`
- WAF `ppanel-waf-jp`: `not created`
- ACM certificate in `ap-northeast-1`:
- Certificate ID: `29d0b9b6-ab37-44d9-ad9e-18fa7e9aae3a`
- Domains:
- `api-jp.hifast.biz`
- `logs-jp.hifast.biz`
- Status: `pending_validation`
- Route 53 hosted zone in current AWS account: `not found`
- S3 backup bucket `hifast-prod-backups-200810848252-ap-northeast-1`: `created`
## Domains
- Parallel API domain: `api-jp.hifast.biz`
- Parallel logs domain: `logs-jp.hifast.biz`
- Production API domain: `pending user final confirmation`
- ACM DNS validation records pending external DNS add:
- `api-jp.hifast.biz`
- Name: `_0de5970dfbadaf46759447b2ea627a10.api-jp.hifast.biz.`
- Type: `CNAME`
- Value: `_6a632a5b85c5b3f304cc492090b741b3.jkddzztszm.acm-validations.aws.`
- `logs-jp.hifast.biz`
- Name: `_349a2b2bc4678d76c3ab341ccf73db61.logs-jp.hifast.biz.`
- Type: `CNAME`
- Value: `_74ced20dc96aa39070188605cf0ced18.jkddzztszm.acm-validations.aws.`
## DR
- DR host: `104.238.220.230`
- Planned MySQL upstream after cutover: `Tokyo RDS`
- Planned Redis upstream after cutover: `Tokyo EC2 public IP`
deploy/aws/ap-northeast-1/configs/resource-inventory.example.md
-69
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@@ -1,69 +0,0 @@
# Tokyo Resource Inventory Example
Use this file as the single source of truth while building the Tokyo environment.
## Region
- AWS account: `hifastvpn (200810848252)`
- Region: `ap-northeast-1`
## DNS
- Production API domain: `CHANGE_ME`
- Parallel API domain: `api-jp.hifast.biz`
- Parallel logs domain: `logs-jp.hifast.biz`
## Networking
- VPC name: `ppanel-jp-prod`
- VPC CIDR: `10.20.0.0/16`
- Public subnet A: `10.20.0.0/24`
- Public subnet C: `10.20.1.0/24`
- Private subnet A: `10.20.10.0/24`
- Private subnet C: `10.20.11.0/24`
- Ops CIDR for SSH: `CHANGE_ME`
## Compute
- EC2 name: `ppanel-app-jp-01`
- EC2 type: `t4g.large`
- EC2 disk: `gp3 80GB`
- SSH key pair: `CHANGE_ME`
## Database
- RDS identifier: `ppanel-mysql-jp`
- RDS engine: `MySQL 8.4`
- RDS class: `db.r7g.xlarge`
- RDS storage: `gp3 100GB`
- DB name: `hifast`
- DB admin user: `admin`
## Cache
- Redis container: `hifast-redis`
- Redis port: `6379`
- Redis password: `CHANGE_ME`
## Security / Secrets
- JWT secret: `CHANGE_ME`
- Admin email: `CHANGE_ME`
- Admin password: `CHANGE_ME`
- Android app signature secret: `CHANGE_ME`
- iOS app signature secret: `CHANGE_ME`
- Web app signature secret: `CHANGE_ME`
- Device security secret: `CHANGE_ME`
## Backup
- S3 backup bucket: `hifast-prod-backups-200810848252-ap-northeast-1`
- Versioning: `Enabled`
## DR
- DR host: `104.238.220.230`
- MySQL repl user: `repl`
- MySQL repl password: `CHANGE_ME`
- Redis source password: `CHANGE_ME`
deploy/aws/ap-northeast-1/nginx/ppanel-api.conf
-34
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@@ -1,34 +0,0 @@
server {
listen 80 default_server;
listen [::]:80 default_server;
server_name _;
client_max_body_size 20m;
access_log /var/log/nginx/ppanel-access.log;
error_log /var/log/nginx/ppanel-error.log warn;
location / {
proxy_http_version 1.1;
proxy_pass http://127.0.0.1:8080;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Port $server_port;
proxy_connect_timeout 10s;
proxy_send_timeout 60s;
proxy_read_timeout 60s;
}
location = /nginx_status {
stub_status;
access_log off;
allow 127.0.0.1;
deny all;
}
}
deploy/systemd/hifast-mysql-backup.service
-17
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@@ -1,17 +0,0 @@
[Unit]
Description=Hifast MySQL backup to S3
Wants=network-online.target
After=network-online.target
[Service]
Type=oneshot
User=root
Group=root
EnvironmentFile=/root/backup-to-s3.env
ExecStart=/usr/bin/env bash -lc 'exec /opt/ppanel/deploy/scripts/mysql_backup_to_s3.sh'
Nice=10
IOSchedulingClass=best-effort
IOSchedulingPriority=7
[Install]
WantedBy=multi-user.target
deploy/systemd/hifast-mysql-backup.timer
-11
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@@ -1,11 +0,0 @@
[Unit]
Description=Run Hifast MySQL backup to S3 every 10 minutes
[Timer]
OnCalendar=*:0/10
Persistent=true
RandomizedDelaySec=30
Unit=hifast-mysql-backup.service
[Install]
WantedBy=timers.target
docker-compose.cloud.yml
+1 -230
View File
@@ -1,26 +1,4 @@
# PPanel 服务部署 (云端/无源码版)
# 使用方法:
# 1. 确保已将 docker-compose.cloud.yml, configs/, loki/, grafana/, prometheus/, tempo/ 目录上传到服务器同一目录
# 2. 确保 configs/ 目录下有 ppanel.yaml 配置文件（参考 etc/ppanel.yaml）
# 3. 确保 logs/ cache/ tempo_data/ 目录存在 (mkdir -p logs cache tempo_data)
# 4. 运行: docker-compose -f docker-compose.cloud.yml up -d
#
# 网络说明：
# ppanel-server 使用 host 网络（可出外网，直接访问 AWS RDS / 本机 Redis）
# 监控服务（Loki/Tempo/Grafana/Prometheus）在 ppanel_net bridge 网络中
# Tempo(4317) 将端口映射到 127.0.0.1，ppanel-server 通过 host 网络访问
# 监控端口绑定 127.0.0.1，需通过 SSH 隧道或 Nginx 反代访问
#
# 未来多开 ppanel-server 时：
# 修复宿主机 iptables bridge 出网规则后，可将 ppanel-server 切回 bridge 网络
# 多实例用不同端口: ports: ["8081:8080"] + container_name: ppanel-server-2
services: services:
# ----------------------------------------------------
# 1. 业务后端 (PPanel Server)
# host 网络：可出外网，直接访问 AWS RDS/Redis；通过 127.0.0.1 访问 Tempo
# PPANEL_SERVER_IMAGE/PPANEL_SERVER_TAG 由 CI/CD 传入不可变镜像（如 ghcr.io/org/repo:git SHA）
# ----------------------------------------------------
ppanel-server: ppanel-server:
image: ${PPANEL_SERVER_IMAGE:-registry.kxsw.us/vpn-server}:${PPANEL_SERVER_TAG:?please set PPANEL_SERVER_TAG to an immutable image tag} image: ${PPANEL_SERVER_IMAGE:-registry.kxsw.us/vpn-server}:${PPANEL_SERVER_TAG:?please set PPANEL_SERVER_TAG to an immutable image tag}
container_name: ppanel-server container_name: ppanel-server
@@ -28,7 +6,7 @@ services:
volumes: volumes:
- ./configs:/app/etc - ./configs:/app/etc
- ./logs:/app/logs - ./logs:/app/logs
- ./cache:/app/cache # GeoLite2-City.mmdb IP 地理位置数据库 - ./cache:/app/cache
environment: environment:
- TZ=Asia/Shanghai - TZ=Asia/Shanghai
network_mode: host network_mode: host
@@ -37,215 +15,8 @@ services:
nofile: nofile:
soft: 65535 soft: 65535
hard: 65535 hard: 65535
depends_on:
tempo:
condition: service_started
logging: logging:
driver: "json-file" driver: "json-file"
options: options:
max-size: "10m" max-size: "10m"
max-file: "3" max-file: "3"
# ----------------------------------------------------
# 2. Tempo (链路追踪存储)
# ----------------------------------------------------
tempo:
image: grafana/tempo:2.4.1
container_name: ppanel-tempo
user: root
restart: always
command:
- "-config.file=/etc/tempo.yaml"
- "-target=all"
volumes:
- ./tempo/tempo-config.yaml:/etc/tempo.yaml
- ./tempo_data:/var/tempo
ports:
- "127.0.0.1:4317:4317" # OTLP gRPC，ppanel-server(host网络)通过127.0.0.1:4317发送trace
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 3. Loki (日志存储)
# ----------------------------------------------------
loki:
image: grafana/loki:3.0.0
container_name: ppanel-loki
restart: always
volumes:
- ./loki/loki-config.yaml:/etc/loki/local-config.yaml
- loki_data:/loki
command: -config.file=/etc/loki/local-config.yaml
# 不对外暴露端口，仅内网访问
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 4. Promtail (日志采集)
# ----------------------------------------------------
promtail:
image: grafana/promtail:3.0.0
container_name: ppanel-promtail
restart: always
volumes:
- ./loki/promtail-config.yaml:/etc/promtail/config.yaml
- /var/lib/docker/containers:/var/lib/docker/containers:ro
- /var/run/docker.sock:/var/run/docker.sock
- ./logs:/var/log/ppanel-server:ro
- /var/log/nginx:/var/log/nginx:ro
command: -config.file=/etc/promtail/config.yaml
networks:
- ppanel_net
depends_on:
- loki
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 5. Grafana (可观测面板)
# 访问: ssh -L 3333:localhost:3333 your-server 后浏览器打开 http://localhost:3333
# 或配置 Nginx 反代（建议加认证）
# ----------------------------------------------------
grafana:
image: grafana/grafana:13.0.1
container_name: ppanel-grafana
restart: always
ports:
- "3333:3000" # 仅本机可访问，需 SSH 隧道或 Nginx 反代
environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD:?请在 .env 文件中设置 GRAFANA_PASSWORD}
- GF_USERS_ALLOW_SIGN_UP=false
- GF_SERVER_DOMAIN=${GRAFANA_DOMAIN:-logsx.hifast.biz}
- GF_SERVER_ROOT_URL=${GRAFANA_ROOT_URL:-https://logsx.hifast.biz}
- GF_FEATURE_TOGGLES_ENABLE=appObservability
- AWS_REGION=${AWS_REGION:-ap-east-1}
- AWS_DEFAULT_REGION=${AWS_REGION:-ap-east-1}
- AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID:-}
- AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY:-}
- AWS_SESSION_TOKEN=${AWS_SESSION_TOKEN:-}
volumes:
- grafana_data:/var/lib/grafana
- ./grafana/provisioning:/etc/grafana/provisioning
networks:
- ppanel_net
depends_on:
- loki
- tempo
- prometheus
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 6. Prometheus (指标采集)
# ----------------------------------------------------
prometheus:
image: prom/prometheus:v3.11.3
container_name: ppanel-prometheus
restart: always
ports:
- "127.0.0.1:9090:9090" # 仅本机可访问
volumes:
- ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus_data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.enable-lifecycle'
- '--web.enable-remote-write-receiver'
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 7. Nginx Exporter (监控宿主机 Nginx)
# ----------------------------------------------------
nginx-exporter:
image: nginx/nginx-prometheus-exporter:1.5.0
container_name: ppanel-nginx-exporter
restart: always
command:
- -nginx.scrape-uri=http://host.docker.internal:8090/nginx_status
extra_hosts:
- "host.docker.internal:host-gateway"
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 8. Node Exporter (宿主机监控)
# ----------------------------------------------------
node-exporter:
image: prom/node-exporter:v1.11.1
container_name: ppanel-node-exporter
restart: always
volumes:
- /proc:/host/proc:ro
- /sys:/host/sys:ro
- /:/rootfs:ro
command:
- '--path.procfs=/host/proc'
- '--path.sysfs=/host/sys'
- '--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)'
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
# ----------------------------------------------------
# 9. cAdvisor (容器监控)
# ----------------------------------------------------
cadvisor:
image: gcr.io/cadvisor/cadvisor:v0.55.1
container_name: ppanel-cadvisor
restart: always
volumes:
- /:/rootfs:ro
- /var/run:/var/run:ro
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
- /dev/disk/:/dev/disk:ro
networks:
- ppanel_net
logging:
driver: "json-file"
options:
max-size: "10m"
max-file: "3"
volumes:
loki_data:
grafana_data:
prometheus_data:
tempo_data:
networks:
ppanel_net:
name: ppanel_net
driver: bridge
etc/ppanel.yaml
+8 -8
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@@ -15,10 +15,10 @@ Logger: # 日志配置
Level: debug # 日志级别: debug, info, warn, error, panic, fatal Level: debug # 日志级别: debug, info, warn, error, panic, fatal
MySQL: MySQL:
Addr: 45.43.29.127:3306 # host 网络模式; bridge 模式改为 mysql:3306 Addr: 127.0.0.1:3306 # 本地开发默认；Docker bridge 模式可改为 mysql:3306
Username: root # MySQL用户名 Username: root # MySQL用户名
Password: jpcV41ppanel # MySQL密码，与 .env MYSQL_ROOT_PASSWORD 一致 Password: CHANGE_ME_TO_DB_PASSWORD # MySQL密码
Dbname: hifast # MySQL数据库名 Dbname: ppanel # MySQL数据库名
Config: charset=utf8mb4&parseTime=true&loc=Asia%2FShanghai Config: charset=utf8mb4&parseTime=true&loc=Asia%2FShanghai
MaxIdleConns: 10 MaxIdleConns: 10
MaxOpenConns: 100 MaxOpenConns: 100
@@ -42,9 +42,9 @@ Redis:
AppSignature: AppSignature:
AppSecrets: AppSecrets:
android-client: uB4G,XxL2{7b # Android 客户端签名密钥 android-client: CHANGE_ME_ANDROID_APP_SECRET # Android 客户端签名密钥
ios-client: uB4G,XxL2{7b # iOS 客户端签名密钥 ios-client: CHANGE_ME_IOS_APP_SECRET # iOS 客户端签名密钥
web-client: uB4G,XxL2{7b # Web 客户端签名密钥 web-client: CHANGE_ME_WEB_APP_SECRET # Web 客户端签名密钥
ValidWindowSeconds: 300 # 签名时间窗口（秒） ValidWindowSeconds: 300 # 签名时间窗口（秒）
SkipPrefixes: SkipPrefixes:
- /v1/notify/ # 支付回调不验签 - /v1/notify/ # 支付回调不验签
@@ -58,8 +58,8 @@ Signature:
Trace: # 链路追踪配置 (OpenTelemetry) Trace: # 链路追踪配置 (OpenTelemetry)
Name: ppanel # 服务名 Name: ppanel # 服务名
Sampler: 1.0 # 采样率 0.0-1.0，生产建议 0.1 Sampler: 1.0 # 采样率 0.0-1.0，生产建议 0.1
Batcher: otlpgrpc # 本地开发留空""; 生产填 otlpgrpc Batcher: "" # 本地开发留空；生产如需链路追踪再配置 exporter
Endpoint: "127.0.0.1:4317" # host 网络模式; bridge 模式改为 tempo:4317 Endpoint: ""
S3: S3:
Enable: false Enable: false
grafana/provisioning/alerting/ppanel-alert-rules.yml
-272
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@@ -1,272 +0,0 @@
apiVersion: 1
groups:
- orgId: 1
name: ppanel-core
folder: PPanel
interval: 1m
rules:
- uid: ppanel-target-down
title: PPanel monitoring target down
condition: C
for: 2m
noDataState: Alerting
execErrState: Error
annotations:
summary: "Monitoring target is down"
description: "{{ $labels.job }} on {{ $labels.instance }} has been down for more than 2 minutes."
labels:
severity: critical
service: ppanel
data:
- refId: A
relativeTimeRange:
from: 300
to: 0
datasourceUid: prometheus
model:
datasource:
type: prometheus
uid: prometheus
editorMode: code
expr: 'up{job=~"grafana|prometheus|node-exporter|cadvisor|nginx-exporter|loki|tempo"}'
instant: true
intervalMs: 1000
maxDataPoints: 43200
refId: A
- refId: C
datasourceUid: __expr__
model:
conditions:
- evaluator:
params:
- 1
type: lt
operator:
type: and
query:
params:
- A
reducer:
type: last
type: query
datasource:
type: __expr__
uid: __expr__
expression: A
intervalMs: 1000
maxDataPoints: 43200
refId: C
type: threshold
- uid: ppanel-host-disk-high
title: PPanel host disk usage high
condition: C
for: 10m
noDataState: NoData
execErrState: Error
annotations:
summary: "Host disk usage is high"
description: "{{ $labels.instance }} {{ $labels.mountpoint }} disk usage is above 85% for 10 minutes."
labels:
severity: warning
service: ppanel
data:
- refId: A
relativeTimeRange:
from: 900
to: 0
datasourceUid: prometheus
model:
datasource:
type: prometheus
uid: prometheus
editorMode: code
expr: '100 - (node_filesystem_avail_bytes{fstype!~"tmpfs|overlay|squashfs|aufs",mountpoint!~"/run.*|/var/lib/docker.*"} / node_filesystem_size_bytes{fstype!~"tmpfs|overlay|squashfs|aufs",mountpoint!~"/run.*|/var/lib/docker.*"} * 100)'
instant: true
intervalMs: 1000
maxDataPoints: 43200
refId: A
- refId: C
datasourceUid: __expr__
model:
conditions:
- evaluator:
params:
- 85
type: gt
operator:
type: and
query:
params:
- A
reducer:
type: last
type: query
datasource:
type: __expr__
uid: __expr__
expression: A
intervalMs: 1000
maxDataPoints: 43200
refId: C
type: threshold
- uid: ppanel-host-memory-high
title: PPanel host memory usage high
condition: C
for: 10m
noDataState: NoData
execErrState: Error
annotations:
summary: "Host memory usage is high"
description: "{{ $labels.instance }} memory usage is above 90% for 10 minutes."
labels:
severity: warning
service: ppanel
data:
- refId: A
relativeTimeRange:
from: 900
to: 0
datasourceUid: prometheus
model:
datasource:
type: prometheus
uid: prometheus
editorMode: code
expr: '(1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100'
instant: true
intervalMs: 1000
maxDataPoints: 43200
refId: A
- refId: C
datasourceUid: __expr__
model:
conditions:
- evaluator:
params:
- 90
type: gt
operator:
type: and
query:
params:
- A
reducer:
type: last
type: query
datasource:
type: __expr__
uid: __expr__
expression: A
intervalMs: 1000
maxDataPoints: 43200
refId: C
type: threshold
- uid: ppanel-host-cpu-high
title: PPanel host CPU usage high
condition: C
for: 10m
noDataState: NoData
execErrState: Error
annotations:
summary: "Host CPU usage is high"
description: "{{ $labels.instance }} CPU usage is above 90% for 10 minutes."
labels:
severity: warning
service: ppanel
data:
- refId: A
relativeTimeRange:
from: 900
to: 0
datasourceUid: prometheus
model:
datasource:
type: prometheus
uid: prometheus
editorMode: code
expr: '100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)'
instant: true
intervalMs: 1000
maxDataPoints: 43200
refId: A
- refId: C
datasourceUid: __expr__
model:
conditions:
- evaluator:
params:
- 90
type: gt
operator:
type: and
query:
params:
- A
reducer:
type: last
type: query
datasource:
type: __expr__
uid: __expr__
expression: A
intervalMs: 1000
maxDataPoints: 43200
refId: C
type: threshold
- uid: ppanel-container-restarts
title: PPanel container restarted
condition: C
for: 1m
noDataState: NoData
execErrState: Error
annotations:
summary: "Container restarted"
description: "{{ $labels.name }} restarted or changed start time in the last hour."
labels:
severity: warning
service: ppanel
data:
- refId: A
relativeTimeRange:
from: 3600
to: 0
datasourceUid: prometheus
model:
datasource:
type: prometheus
uid: prometheus
editorMode: code
expr: 'sum by (name) (changes(container_start_time_seconds{name!=""}[1h]))'
instant: true
intervalMs: 1000
maxDataPoints: 43200
refId: A
- refId: C
datasourceUid: __expr__
model:
conditions:
- evaluator:
params:
- 0
type: gt
operator:
type: and
query:
params:
- A
reducer:
type: last
type: query
datasource:
type: __expr__
uid: __expr__
expression: A
intervalMs: 1000
maxDataPoints: 43200
refId: C
type: threshold
grafana/provisioning/dashboards/dashboards.yml
-14
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@@ -1,14 +0,0 @@
apiVersion: 1
providers:
- name: PPanel
orgId: 1
folder: PPanel
folderUid: ppanel
type: file
disableDeletion: false
allowUiUpdates: true
updateIntervalSeconds: 30
options:
path: /etc/grafana/provisioning/dashboards/json
foldersFromFilesStructure: false
grafana/provisioning/dashboards/json/aws-rds-redis-overview.json
-520
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@@ -1,520 +0,0 @@
{
"annotations": {
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{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
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},
"pluginVersion": "11.0.0",
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},
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},
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}
],
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},
{
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},
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},
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}
],
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},
{
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},
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"namespace": "AWS/ElastiCache",
"period": "",
"refId": "A",
"region": "ap-east-1",
"statistic": "Average"
}
],
"title": "Redis Memory Usage % (Legacy ElastiCache)",
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}
],
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"style": "dark",
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"uid": "aws-rds-redis-overview",
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}
grafana/provisioning/dashboards/json/ppanel-ops-overview.json
-565
View File
@@ -1,565 +0,0 @@
{
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{
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},
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grafana/provisioning/dashboards/json/ppanel-server-logs.json
-330
View File
@@ -1,330 +0,0 @@
{
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{
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},
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"iconColor": "rgba(0, 211, 255, 1)",
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},
"tooltip": {
"mode": "multi"
}
},
"targets": [
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"editorMode": "code",
"expr": "sum(count_over_time({compose_service=\"ppanel-server\"}[5m]))",
"queryType": "range",
"refId": "A"
}
],
"title": "Matched Log Volume",
"type": "timeseries"
},
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"unit": "short"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 0
},
"id": 2,
"options": {
"legend": {
"displayMode": "table",
"placement": "bottom"
},
"tooltip": {
"mode": "multi"
}
},
"targets": [
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"editorMode": "code",
"expr": "sum(count_over_time({compose_service=\"ppanel-server\"} |~ \"(?i)(error|panic|fatal)\" [5m]))",
"queryType": "range",
"refId": "A"
}
],
"title": "Matched Error Volume",
"type": "timeseries"
},
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"gridPos": {
"h": 12,
"w": 24,
"x": 0,
"y": 7
},
"id": 3,
"options": {
"dedupStrategy": "none",
"enableLogDetails": true,
"prettifyLogMessage": false,
"showCommonLabels": false,
"showLabels": true,
"showTime": true,
"sortOrder": "Descending",
"wrapLogMessage": true
},
"targets": [
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"editorMode": "code",
"expr": "{compose_service=\"ppanel-server\"}",
"queryType": "range",
"refId": "A"
}
],
"title": "Filtered Server Logs",
"type": "logs"
},
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"gridPos": {
"h": 10,
"w": 24,
"x": 0,
"y": 19
},
"id": 4,
"options": {
"dedupStrategy": "none",
"enableLogDetails": true,
"prettifyLogMessage": false,
"showCommonLabels": false,
"showLabels": true,
"showTime": true,
"sortOrder": "Descending",
"wrapLogMessage": true
},
"targets": [
{
"datasource": {
"type": "loki",
"uid": "P8E80F9AEF21F6940"
},
"editorMode": "code",
"expr": "{compose_service=\"ppanel-server\"} |~ \"(?i)(error|panic|fatal)\"",
"queryType": "range",
"refId": "A"
}
],
"title": "Filtered Server Errors",
"type": "logs"
}
],
"refresh": "30s",
"schemaVersion": 42,
"tags": [
"ppanel",
"logs",
"server",
"loki"
],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": ".",
"value": "."
},
"description": "输入用户 ID；默认 . 表示不过滤",
"hide": 0,
"label": "用户ID",
"name": "user_id",
"options": [],
"query": ".",
"skipUrlSync": false,
"type": "textbox"
},
{
"current": {
"selected": false,
"text": ".",
"value": "."
},
"description": "输入邮箱或邮箱片段；默认 . 表示不过滤",
"hide": 0,
"label": "邮箱",
"name": "email",
"options": [],
"query": ".",
"skipUrlSync": false,
"type": "textbox"
},
{
"current": {
"selected": false,
"text": ".",
"value": "."
},
"description": "输入订单号/支付单号/交易号片段；默认 . 表示不过滤",
"hide": 0,
"label": "订单",
"name": "order",
"options": [],
"query": ".",
"skipUrlSync": false,
"type": "textbox"
},
{
"current": {
"selected": true,
"text": "All",
"value": "."
},
"description": "日志等级",
"hide": 0,
"includeAll": false,
"label": "等级",
"multi": false,
"name": "level",
"options": [
{
"selected": true,
"text": "All",
"value": "."
},
{
"selected": false,
"text": "debug",
"value": "debug"
},
{
"selected": false,
"text": "info",
"value": "info"
},
{
"selected": false,
"text": "warn",
"value": "warn"
},
{
"selected": false,
"text": "error",
"value": "error"
},
{
"selected": false,
"text": "slow",
"value": "slow"
},
{
"selected": false,
"text": "panic",
"value": "panic"
},
{
"selected": false,
"text": "fatal",
"value": "fatal"
}
],
"query": "All : .,debug,info,warn,error,slow,panic,fatal",
"queryValue": "",
"skipUrlSync": false,
"type": "custom"
},
{
"current": {
"selected": false,
"text": ".",
"value": "."
},
"description": "任意关键字；默认 . 表示不过滤",
"hide": 0,
"label": "关键字",
"name": "keyword",
"options": [],
"query": ".",
"skipUrlSync": false,
"type": "textbox"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "PPanel Server Logs",
"uid": "ppanel-server-logs",
"version": 5,
"weekStart": ""
}
grafana/provisioning/datasources/datasources.yml
-57
View File
@@ -1,57 +0,0 @@
apiVersion: 1
datasources:
- name: Prometheus
uid: prometheus
type: prometheus
access: proxy
url: http://prometheus:9090
isDefault: true
editable: true
jsonData:
httpMethod: POST
manageAlerts: true
prometheusType: Prometheus
prometheusVersion: 2.50.0
timeInterval: 15s
- name: Loki
uid: loki
type: loki
access: proxy
url: http://loki:3100
editable: true
jsonData:
derivedFields:
- datasourceUid: tempo
matcherRegex: '"(?:trace|traceID|trace_id)"\s*:\s*"([a-f0-9]{32})"'
name: TraceID
url: '$${__value.raw}'
- name: Tempo
uid: tempo
type: tempo
access: proxy
url: http://tempo:3200
editable: true
jsonData:
tracesToLogsV2:
datasourceUid: loki
filterByTraceID: true
filterBySpanID: false
tags:
- key: service.name
value: service_name
tracesToMetrics:
datasourceUid: prometheus
serviceMap:
datasourceUid: prometheus
- name: CloudWatch
uid: cloudwatch
type: cloudwatch
access: proxy
editable: true
jsonData:
authType: default
defaultRegion: ap-east-1
loki/loki-config.yaml
-36
View File
@@ -1,36 +0,0 @@
auth_enabled: false
server:
http_listen_port: 3100
grpc_listen_port: 9096
common:
path_prefix: /loki
replication_factor: 1
ring:
instance_addr: 127.0.0.1
kvstore:
store: inmemory
schema_config:
configs:
- from: 2024-01-01
store: tsdb
object_store: filesystem
schema: v13
index:
prefix: index_
period: 24h
storage_config:
filesystem:
directory: /loki/chunks
limits_config:
allow_structured_metadata: true
retention_period: 168h
compactor:
working_directory: /loki/compactor
retention_enabled: true
delete_request_store: filesystem
loki/promtail-config.yaml
-61
View File
@@ -1,61 +0,0 @@
server:
http_listen_port: 9080
grpc_listen_port: 0
positions:
filename: /tmp/positions.yaml
clients:
- url: http://loki:3100/loki/api/v1/push
scrape_configs:
- job_name: ppanel-file
static_configs:
- targets:
- localhost
labels:
job: ppanel-server
service_name: ppanel
__path__: /var/log/ppanel-server/*.log
pipeline_stages:
- json:
expressions:
caller: caller
content: content
level: level
timestamp: timestamp
- timestamp:
source: timestamp
format: "2006-01-02 15:04:05.000"
location: Asia/Shanghai
- labels:
caller:
level:
- job_name: nginx-file
static_configs:
- targets:
- localhost
labels:
job: nginx
service_name: nginx
__path__: /var/log/nginx/*.log
- job_name: docker-containers
docker_sd_configs:
- host: unix:///var/run/docker.sock
refresh_interval: 15s
relabel_configs:
- source_labels: [__meta_docker_container_name]
regex: '/(.*)'
target_label: container
- source_labels: [__meta_docker_container_label_com_docker_compose_service]
target_label: compose_service
- source_labels: [__meta_docker_container_log_stream]
target_label: stream
- source_labels: [__meta_docker_container_name]
regex: '/(.*)'
target_label: service_name
- source_labels: [__meta_docker_container_id]
target_label: __path__
replacement: /var/lib/docker/containers/$1/$1-json.log
ops/aws-rds-external-replica-runbook.md
-652
View File
@@ -1,652 +0,0 @@
# AWS RDS + EC2 Redis 到外部备用服务器 Runbook
目标：让 `104.238.220.230` 持续作为 AWS 主生产环境的异地备用节点，承接：
- MySQL 外部只读从库
- Redis 外部从库
- 故障时的快速提升与业务切换
本文档以 `2026-05-13` 的真实现网状态为准，覆盖：
- 当前已经落地的主从架构
- 日常验收命令
- 主从故障排查
- 全量重建从库
- “新建规范 RDS 再切换”的生产级收敛路线
- 故障切换与回滚
## 1. 当前已确认资源
### 1.1 AWS 主生产
- Region: `ap-east-1`
- AWS app EC2:
- Name: `hifast-hk-app-01`
- Public IP: `18.163.33.75`
- Private IP: `10.0.1.201`
- AWS MySQL:
- Type: `RDS MySQL`
- Instance: `hifast-mysql-prod-v2`
- Endpoint: `hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- Version: `8.4.8`
- DB Name: `hifast`
- Admin user: `admin`
- Admin password: keep it in a secret store, do not write plaintext into repo docs
- Replication user: `repl`
- Replication password: keep it in a secret store, do not write plaintext into repo docs
- AWS Redis:
- Location: `hifast-hk-app-01`
- Deployment: `Docker`
- Container: `hifast-redis`
- Version: `redis:8.2.1`
- Listen: `0.0.0.0:6379`
- Password: keep it in a secret store, do not write plaintext into repo docs
### 1.2 外部备用服务器
- Host: `104.238.220.230`
- OS: `Ubuntu 24.04 LTS`
- SSH user: `root`
- MySQL version: `8.4.9`
- Redis version: `8.6.3`
- 当前角色：
- MySQL external replica
- Redis replica
- 备用应用节点
### 1.3 当前应用真实运行方式
AWS 应用机上的 `ppanel-server` 当前不是 systemd 托管，而是 Docker Compose 服务：
- Compose file: `/opt/ppanel/docker-compose.cloud.yml`
- Config file: `/opt/ppanel/configs/ppanel.yaml`
- Container name: `ppanel-server`
- Current MySQL target: `hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306`
- Current Redis target: `127.0.0.1:6379`
也就是说，后续所有应用侧切换步骤，都应该以修改：
- `/opt/ppanel/configs/ppanel.yaml`
并执行：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d ppanel-server
```
作为准。
## 2. 当前健康基线
截至 `2026-05-13`，已确认以下状态成立：
- `104` MySQL:
- `Source_Host = hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
- `read_only = ON`
- `super_read_only = ON`
- AWS Redis 主库:
- `role:master`
- `connected_slaves:1`
- `104` Redis:
- `role:slave`
- `master_link_status:up`
- AWS 应用:
- `curl http://127.0.0.1:8080/v1/common/heartbeat` 返回 `code=200`
这说明当前状态已经达到：
- 主生产可用
- 外部备用持续同步
- Redis 已回到真实本机链路
## 3. 当前网络前提
### 3.1 安全组
当前实际生效的安全组如下：
- `hifast-hk-app-core-sg`
- `22/tcp <- 0.0.0.0/0`
- `6379/tcp <- 104.238.220.230/32`
- `8080/tcp <- hifast-hk-web-sg`
- `hifast-hk-rds-core-sg`
- `3306/tcp <- 104.238.220.230/32`
- `3306/tcp <- hifast-hk-app-core-sg`
- `hifast-hk-web-sg`
- `22/80/443 <- 0.0.0.0/0`
### 3.2 当前结构性限制
当前 `104 -> RDS` 公网复制链路虽然可用，但依赖的是：
- `hifast-mysql-prod-v2` 为 `Publicly accessible = Yes`
- RDS ENI 仍位于 `hifast-hk-private-1b`
- `private-1b` 被临时挂到了公网路由表
这不是最终规范的生产形态。
当前这条路线已经完成，后续更推荐的动作是：
1. 持续确认应用主库目标保持在 `hifast-mysql-prod-v2`
2. 持续确认 `104` 复制目标保持在 `hifast-mysql-prod-v2`
3. 根据回收窗口安排旧 RDS 下线
4. 按网络收敛计划处理 `private-1b` 路由语义
## 4. 日常验收命令
### 4.1 验收 MySQL 主从
在 `104` 执行：
```bash
mysql -e "SHOW REPLICA STATUS\G"
```
重点看：
- `Source_Host`
- `Replica_IO_Running`
- `Replica_SQL_Running`
- `Seconds_Behind_Source`
- `Last_IO_Error`
- `Last_SQL_Error`
成功标准：
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0` 或较小
### 4.2 验收 Redis 主从
在 AWS app EC2 执行：
```bash
docker exec hifast-redis redis-cli -a '0BVz9XOHf7KUfEuoFJRK-dURdKUGFiZ8QeaHpysHnKeKhLskZb55HPK121lFsKtr' INFO replication
```
重点看：
- `role:master`
- `connected_slaves:1`
在 `104` 执行：
```bash
redis-cli INFO replication
```
重点看：
- `role:slave`
- `master_host:18.163.33.75`
- `master_port:6379`
- `master_link_status:up`
### 4.3 验收应用
在 AWS app EC2 执行：
```bash
curl -sf http://127.0.0.1:8080/v1/common/heartbeat
```
期望返回：
- `{"code":200,...}`
查看容器：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml ps
```
期望：
- `ppanel-server` 为 `Up`
- `hifast-redis` 为 `Up`
## 5. MySQL 复制故障排查
### 5.1 先看复制状态
```bash
mysql -e "SHOW REPLICA STATUS\G"
```
重点判断：
- `Replica_IO_Running = No`
- `Replica_SQL_Running = No`
- `Last_IO_Error`
- `Last_SQL_Error`
### 5.2 常见场景
#### 场景 A：网络或白名单断开
表现：
- `Replica_IO_Running: No`
- `Last_IO_Error` 出现连接失败、超时、拒绝访问
排查：
```bash
mysql -h hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com -u repl -p -e "SELECT 1;"
```
处理：
- 检查 RDS SG 是否仍保留 `104.238.220.230/32 -> 3306`
- 检查 RDS 是否仍为 `Publicly accessible = Yes`
- 如果后续已迁到新规范 RDS，则检查新实例的 SG 和公网可达性
#### 场景 B：主库 binlog 位点丢失
表现：
- `Last_IO_Error` 或 `Last_SQL_Error` 指向缺失 binlog
处理：
- 不要硬跳过
- 直接执行全量重建从库
#### 场景 C：SQL 执行报错
表现：
- `Replica_SQL_Running: No`
- `Last_SQL_Error` 有实际 SQL 冲突信息
处理建议：
- 如果只是临时演练环境，可重建从库
- 如果已经进入生产切换阶段，不建议盲目 `sql_slave_skip_counter`
- 优先保守做法仍是重新全量初始化
## 6. Redis 复制故障排查
### 6.1 看 `104` 从库状态
```bash
redis-cli INFO replication
```
重点：
- `role`
- `master_host`
- `master_link_status`
### 6.2 看 AWS 主库状态
```bash
docker exec hifast-redis redis-cli -a '0BVz9XOHf7KUfEuoFJRK-dURdKUGFiZ8QeaHpysHnKeKhLskZb55HPK121lFsKtr' INFO replication
```
重点：
- `role:master`
- `connected_slaves`
### 6.3 常见问题
#### 场景 A：安全组断开
表现：
- `master_link_status:down`
处理：
- 确认 `hifast-hk-app-core-sg` 仍保留：
- `6379/tcp <- 104.238.220.230/32`
#### 场景 B：主库密码漂移
表现：
- 从库重连失败
- 日志出现 `NOAUTH`
处理：
- 统一更新 `/etc/redis/redis.conf` 中的：
- `masterauth`
- 然后：
```bash
systemctl restart redis-server
redis-cli INFO replication
```
## 7. 全量重建 MySQL 从库
适用场景：
- 主从中断且无法安全追平
- `6666@qq.com` 这类写入在主库存在、从库未同步
- binlog 不连续
- 需要回到最稳妥状态
### 7.1 在主库导出
在一台可连 RDS 的机器上执行：
```bash
mysqldump \
-h hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com \
-u admin \
-p \
--single-transaction \
--routines \
--triggers \
--events \
--set-gtid-purged=OFF \
hifast > hifast-full.sql
```
如果需要同步账号权限，也可以额外单独导出授权对象；但当前业务库恢复重点是 `hifast` 数据库本身。
### 7.2 清理 `104` 当前复制
在 `104` 执行：
```sql
STOP REPLICA;
RESET REPLICA ALL;
```
### 7.3 重新导入业务库
在 `104` 执行：
```bash
mysql -e "DROP DATABASE IF EXISTS hifast; CREATE DATABASE hifast CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci;"
mysql hifast < hifast-full.sql
```
### 7.4 重新挂复制
当前现网是非 GTID 自动定位，使用 file/position 模式。
先在主库取位点：
```sql
SHOW MASTER STATUS;
```
然后在 `104` 执行：
```sql
CHANGE REPLICATION SOURCE TO
SOURCE_HOST='hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com',
SOURCE_PORT=3306,
SOURCE_USER='repl',
SOURCE_PASSWORD='<REPL_PASSWORD>',
SOURCE_LOG_FILE='<MASTER_LOG_FILE>',
SOURCE_LOG_POS=<MASTER_LOG_POS>,
SOURCE_SSL=1;
START REPLICA;
SHOW REPLICA STATUS\G
```
### 7.5 验收
确认：
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
- `read_only = ON`
- `super_read_only = ON`
## 8. 重新配置 Redis 从库
当前 `104` Redis 为原生安装，不使用 Docker。
### 8.1 临时切回从库
```bash
redis-cli CONFIG SET masterauth '0BVz9XOHf7KUfEuoFJRK-dURdKUGFiZ8QeaHpysHnKeKhLskZb55HPK121lFsKtr'
redis-cli REPLICAOF 18.163.33.75 6379
redis-cli CONFIG SET replica-read-only yes
redis-cli INFO replication
```
### 8.2 持久化配置
检查 `/etc/redis/redis.conf` 至少包含：
```conf
replicaof 18.163.33.75 6379
masterauth 0BVz9XOHf7KUfEuoFJRK-dURdKUGFiZ8QeaHpysHnKeKhLskZb55HPK121lFsKtr
replica-read-only yes
```
然后：
```bash
systemctl restart redis-server
redis-cli INFO replication
```
## 9. 生产级收敛路线：新建规范 RDS 再切换
这条路线已经完成，当前现网主库已经切到 `hifast-mysql-prod-v2`。下面内容保留为迁移归档参考，不再表示待执行。
### 9.1 目标
把当前临时方案：
- `private-1b` 挂公网路由
收敛成：
- RDS 使用纯公网 DB subnet group
- 安全组仍只对白名单和应用组开放
### 9.2 已准备好的资源
- 已建 DB subnet group:
- `hifast-hk-rds-public-only-sgprep`
- 子网：
- `hifast-hk-public-1a`
- `hifast-hk-public-1b`
### 9.3 新 RDS 建议参数
新实例建议名：
- `hifast-mysql-prod-v2`
建议保持与旧主库一致：
- Engine: `mysql`
- Version: `8.4.8`
- Class: `db.r7g.xlarge`
- Storage: `gp3`
- Size: `200 GB`
- IOPS: `3000`
- Throughput: `125`
- Publicly accessible: `Yes`
- Multi-AZ: `No` 或按预算单独评估
- Deletion protection: `On`
- Performance Insights: `On`
- Backup retention: `7`
- DB subnet group: `hifast-hk-rds-public-only-sgprep`
- VPC SG: `hifast-hk-rds-core-sg`
### 9.4 迁移步骤
1. 已创建新 RDS `hifast-mysql-prod-v2`
2. 在旧主库导出 `hifast`
3. 导入新库
4. 在新库创建 `repl` 用户并配置 binlog retention
5. 修改 AWS app EC2 上 `/opt/ppanel/configs/ppanel.yaml` 的 `MySQL.Addr`
6. 重启 `ppanel-server` 容器
7. 在 `104` 上 `STOP REPLICA; RESET REPLICA ALL;`
8. 指向新 RDS endpoint 重新挂复制
9. 验收应用与主从
10. 验收通过后，安排旧 RDS 下线，并推进 `private-1b` 恢复私网路由
### 9.5 应用切换命令
在 AWS app EC2：
1. 备份配置
```bash
cp /opt/ppanel/configs/ppanel.yaml /opt/ppanel/configs/ppanel.yaml.bak.$(date +%Y%m%d%H%M%S)
```
2. 编辑：
- `/opt/ppanel/configs/ppanel.yaml`
把：
```yaml
MySQL:
Addr: hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306
```
改成：
```yaml
MySQL:
Addr: hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306
```
3. 重启应用容器：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d ppanel-server
```
4. 验证：
```bash
curl -sf http://127.0.0.1:8080/v1/common/heartbeat
docker compose -f docker-compose.cloud.yml logs --tail=100 ppanel-server
```
### 9.6 `104` 改挂新 RDS
```sql
STOP REPLICA;
RESET REPLICA ALL;
CHANGE REPLICATION SOURCE TO
SOURCE_HOST='<NEW_RDS_ENDPOINT>',
SOURCE_PORT=3306,
SOURCE_USER='repl',
SOURCE_PASSWORD='<REPL_PASSWORD>',
SOURCE_LOG_FILE='<MASTER_LOG_FILE>',
SOURCE_LOG_POS=<MASTER_LOG_POS>,
SOURCE_SSL=1;
START REPLICA;
SHOW REPLICA STATUS\G
```
### 9.7 切换验收
至少确认：
- AWS 应用心跳正常
- 新 RDS 可正常读写
- `104` 复制恢复为 `Yes/Yes`
- `Seconds_Behind_Source` 追到 `0`
- Navicat 可从允许的白名单来源连接新 RDS
### 9.8 回滚
如果新 RDS 切换后应用异常：
1. 立即把 `/opt/ppanel/configs/ppanel.yaml` 中 `MySQL.Addr` 改回旧 endpoint
2. 重启 `ppanel-server`
3. 暂不处理 `104`，先恢复主生产
4. 复盘新库数据、权限、参数、网络
## 10. AWS 故障时的备用接管
### 10.1 Redis 提升为主库
在 `104`：
```bash
redis-cli REPLICAOF NO ONE
redis-cli INFO replication
```
期望：
- `role:master`
### 10.2 MySQL 提升为可写主库
在 `104`：
```sql
STOP REPLICA;
RESET REPLICA ALL;
SET GLOBAL super_read_only=OFF;
SET GLOBAL read_only=OFF;
```
再确认：
```sql
SHOW VARIABLES LIKE 'read_only';
SHOW VARIABLES LIKE 'super_read_only';
```
期望：
- `OFF`
- `OFF`
### 10.3 应用切到 `104` 本机数据层
如果 `104` 上也部署同样的 PPanel 服务，则应用配置应改为：
- MySQL 指向 `127.0.0.1:3306` 或本机 socket
- Redis 指向 `127.0.0.1:6379`
### 10.4 最后切入口
数据层和应用层都确认可写后，再做：
- DNS 切换
- 或 Nginx / 上游切流量
原则：
- 先数据接管
- 再应用确认
- 最后入口切换
## 11. 日常巡检建议
建议至少每天巡检一次：
1. `104` MySQL `SHOW REPLICA STATUS\G`
2. `104` Redis `INFO replication`
3. AWS Redis 主库 `INFO replication`
4. AWS app 心跳 `/v1/common/heartbeat`
5. `docker compose -f /opt/ppanel/docker-compose.cloud.yml ps`
如果后续要做真正的生产级自动化，再补：
- MySQL 复制延迟告警
- Redis 主从断链告警
- 应用心跳失败告警
- RDS 连接失败告警
- 定期灾备切换演练
ops/docker-image-version-pins.md
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# Docker Image Version Pins
This file records the infrastructure image versions pinned in `docker-compose.cloud.yml`.
The versions below match the images observed on the test deployment on 2026-05-26.
| Service | Image | Running version source |
| --- | --- | --- |
| grafana | `grafana/grafana:13.0.1` | `grafana version 13.0.1` |
| prometheus | `prom/prometheus:v3.11.3` | `prometheus, version 3.11.3` |
| nginx-exporter | `nginx/nginx-prometheus-exporter:1.5.0` | image label `org.opencontainers.image.version=1.5.0` |
| node-exporter | `prom/node-exporter:v1.11.1` | `node_exporter, version 1.11.1` |
| cadvisor | `gcr.io/cadvisor/cadvisor:v0.55.1` | `cAdvisor version v0.55.1` |
The test deployment in `/root/bindbox/docker-compose.cloud.yml` also contains
live-only exporter services that are not present in this repository's
`docker-compose.cloud.yml`. They were pinned during staging validation:
| Test-only service | Image | Running version source |
| --- | --- | --- |
| mysql-exporter | `prom/mysqld-exporter:v0.19.0` | `mysqld_exporter, version 0.19.0` |
| redis-exporter | `oliver006/redis_exporter:v1.82.0` | image label `org.opencontainers.image.version=v1.82.0` |
`ppanel-server` intentionally remains variable and requires `PPANEL_SERVER_TAG`
from CI/CD so deployments use an immutable application image tag.
## Rollback
Restore the previous compose file from git and redeploy:
```sh
git checkout HEAD~1 -- docker-compose.cloud.yml .env.example ops/docker-image-version-pins.md
docker compose -f docker-compose.cloud.yml up -d
```
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# GitHub Staging Deploy
This repository deploys the `internal` branch to the staging server `154.12.35.103` with GitHub Actions.
## Required GitHub secrets
- `STAGING_SSH_USER`: SSH user for `154.12.35.103`.
- `STAGING_SSH_KEY`: Private SSH key that can log in to the staging server.
- `STAGING_SSH_PORT`: SSH port. Use `22` if the server uses the default port.
- `GHCR_USERNAME`: Optional. Required only if the GHCR package is private and the server needs to log in before pulling.
- `GHCR_TOKEN`: Optional. A GitHub PAT with `read:packages` for private GHCR pulls.
## Server requirements
- Docker and either `docker compose` or `docker-compose` are installed.
- The deployment directory is `/opt/hifast-server`.
- Runtime files already exist beside `docker-compose.cloud.yml`, especially `configs/ppanel.yaml`, `logs/`, `cache/`, `loki/`, `grafana/`, `prometheus/`, and `tempo/`.
## What the workflow does
1. Builds the Docker image for `linux/amd64`.
2. Pushes `ghcr.io/tawcorp/hifast-server:<commit-sha>` and `ghcr.io/tawcorp/hifast-server:staging`.
3. Copies `docker-compose.cloud.yml` to the staging server.
4. Pulls the immutable commit image and restarts `ppanel-server`.
5. Checks `http://127.0.0.1:8080/v1/common/heartbeat`.
6. Attempts rollback to the previous container image if the health check fails.
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# Hifast 东京切换执行清单
本文档用于正式执行香港 `ap-east-1` -> 东京 `ap-northeast-1` 迁移时，逐项勾选和留痕。
## 0. 当前已知东京状态
- 东京 VPC `ppanel-jp-prod` 已创建
- 东京 VPC ID：`vpc-0846b23b4a7d64eac`
- 4 个东京子网曾在 AWS 控制台录入，但提交时登录态失效
- 所以当前要按“子网未确认成功”处理
- 后续所有东京资源创建前，先执行一次：
- `bash deploy/scripts/aws_jp_describe_state.sh /root/aws-jp-infra.env`
- 真实状态登记文件：
- `deploy/aws/ap-northeast-1/configs/resource-inventory.current.md`
## 1. 真实值清单
在开始创建东京正式资源前，必须补齐这些真实值：
- 正式 API 域名：
- 东京平行 API 域名：
- 东京平行日志域名：
- 运维固定公网 IP / CIDR：
- 东京 EC2 SSH Key Pair 名称：
- 东京 RDS 管理员密码：`TkyRds20260521!N9mQ8sKe2vLp7Xa`
- 东京 RDS 凭证管理方式：`self-managed`
- 东京 RDS 当前密码是否可回看：`否，只能重置`
- 东京 Redis 密码：`hifast67yj`
- `JwtAuth.AccessSecret`：
- `Administrator.Email`：`admin@ppanel.dev`
- `Administrator.Password`：`PpanelAdmin!20260521Temp`
- `AppSignature.AppSecrets.android-client`：`uB4G,XxL2{7b`
- `AppSignature.AppSecrets.ios-client`：`uB4G,XxL2{7b`
- `AppSignature.AppSecrets.web-client`：`uB4G,XxL2{7b`
- `device.security_secret`：`uB4G,XxL2{7b`
- 东京备份桶最终名称：
- `104.238.220.230` MySQL 复制密码：`XwWrQGVWtxmXJ3etHmkFvnRSD54MKYer`
- `104.238.220.230` Redis 主从认证密码：`hifast67yj`
## 2. 东京资源创建勾选
- 已切换 AWS 控制台到 `ap-northeast-1`
- 已确认东京区可用
- 已确认 EC2 配额满足 `t4g.large`
- 已确认 RDS 配额满足 `db.r7g.xlarge`
- 已确认 ALB / ACM / WAF / S3 可正常创建
- 已创建 VPC
- 已创建 2 个公有子网
- 已创建 2 个私有子网
- 已创建 IGW
- 已配置公私网路由表
- 已创建 `sg-alb`
- 已创建 `sg-ec2`
- 已创建 `sg-rds`
- 已创建东京 RDS
- 已创建东京 EC2
- 已在 EC2 启动 Docker / Nginx
- 已创建东京 ACM 证书
- 已创建 Target Group
- 已创建 ALB
- 已创建 WAF 并挂到 ALB
- 已创建东京 S3 备份桶并开启 versioning
## 3. 东京应用部署勾选
- 已上传 `docker-compose.cloud.yml`
- 已上传 `configs/ppanel.yaml`
- 已上传 `.env`
- 已上传 `grafana/`
- 已上传 `loki/`
- 已上传 `prometheus/`
- 已上传 `tempo/`
- 已安装东京 Nginx 配置
- 已启动 `ppanel-server`
- 已启动 `hifast-redis`
- 已启动 observability 容器
- `curl http://127.0.0.1:8080/v1/common/heartbeat` 正常
- `curl http://127.0.0.1/v1/common/heartbeat` 正常
- ALB 健康检查正常
## 4. 停机迁移勾选
- 已降低正式域名 TTL
- 已停止香港 `ppanel-server`
- 已确认香港不再有新写入
- 已导出香港 MySQL `hifast-full.sql.gz`
- 已导出香港 Redis `dump.rdb`
- 已导入东京 RDS
- 已导入东京 Redis
- 东京应用已改为连接东京 MySQL / Redis
- 平行域名验收通过
## 5. 104 灾备重挂勾选
- 东京 RDS 已设置 `binlog retention hours`
- 东京 RDS 已创建 `repl@104.238.220.230`
- 已用东京 dump 重建 `104` 的 `hifast`
- `104` MySQL 已成功挂东京主库
- `104` MySQL `Replica_IO_Running: Yes`
- `104` MySQL `Replica_SQL_Running: Yes`
- `104` MySQL `Seconds_Behind_Source: 0`
- `104` Redis 已成功挂东京主库
- 东京 Redis `connected_slaves:1`
- `104` Redis `role:slave`
- `104` Redis `master_link_status:up`
## 6. 正式切换与回滚勾选
- 已切正式域名到东京 ALB
- 外网请求正常
- 核心业务接口无 `5xx`
- 应用日志无 MySQL / Redis 连接错误
- WAF 无误伤
- 已验证 DNS 可回切
- 香港环境已保留为只读回滚基线
- 香港环境计划保留 `7` 天观察期
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# Hifast AWS 香港到日本东京迁移 Runbook
本文档用于把当前香港区 `ap-east-1` 主生产，迁移到日本东京 `ap-northeast-1`。
适用目标：
- 东京成为新主站
- 架构升级为 `ALB + WAF + EC2 + RDS`
- `104.238.220.230` 继续作为东京主站的 MySQL / Redis 外部灾备
## 0. 当前实施状态
截至 `2026-05-21`：
- 东京迁移执行资产已在仓库内补齐
- 东京网络基础资源已创建并复核：
- VPC `ppanel-jp-prod` / `vpc-0846b23b4a7d64eac`
- 2 个公有子网
- 2 个私有子网
- IGW
- 公有 / 私有路由表
- 东京三层安全组已创建并复核：
- `ppanel-jp-sg-alb`
- `ppanel-jp-sg-ec2`
- `ppanel-jp-sg-rds`
- 东京 RDS 已创建并可用：
- Endpoint: `ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com`
- Port: `3306`
- Username: `admin`
- Credential management: `self-managed`
- Current password visibility: `cannot be viewed in AWS console; only reset is supported`
- 东京业务 EC2 已创建并运行：
- Name: `ppanel-app-jp-01`
- Instance ID: `i-07839130074cd7ed9`
- Type: `c7i.xlarge`
- Private IP: `10.20.1.168`
- Elastic IP: `3.114.29.208`
- 东京 S3 备份桶已创建
- 东京 ACM 证书已请求，仍等待 DNS 验证
- 当前尚未完成的核心资源：
- ALB
- WAF
- ACM DNS 验证
- 东京应用目录部署与数据导入
建议先执行：
```bash
cp deploy/aws/ap-northeast-1/configs/aws-jp-infra.env.example /root/aws-jp-infra.env
vim /root/aws-jp-infra.env
bash deploy/scripts/aws_jp_create_base_infra.sh /root/aws-jp-infra.env
bash deploy/scripts/aws_jp_describe_state.sh /root/aws-jp-infra.env
```
然后把结果回填到：
- `deploy/aws/ap-northeast-1/configs/resource-inventory.current.md`
- `ops/hifast-aws-jp-cutover-checklist-zh.md`
## 1. 当前基线
迁移前默认当前现网状态为：
- 香港应用 EC2：`hifast-hk-app-01`
- 香港 RDS：`hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- 香港 Redis 主库：`18.163.33.75:6379`
- 外部灾备：`104.238.220.230`
- 当前应用部署目录：`/opt/ppanel`
- 当前应用配置文件：`/opt/ppanel/configs/ppanel.yaml`
- 当前业务容器：`ppanel-server`
## 2. 迁移前准备
正式迁移前必须完成：
1. 东京基础设施已创建
2. 东京 EC2 已部署应用目录，但暂未导入正式数据
3. 东京 RDS 可连通
- 已验证从东京 EC2 到 `ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com:3306` 网络畅通
- 当前若无密码只能得到 `ERROR 1045 ... using password: NO`，这表示链路正常，不表示实例异常
4. 东京 Redis 已启动并可认证
5. 平行域名已准备：
- `api-jp.hifast.biz`
- `logs-jp.hifast.biz`
6. 东京 ALB 健康检查已通过
7. 东京 ACM 证书已签发
8. 东京 WAF 已挂到 ALB
9. 已准备正式回滚入口
10. 已把正式域名 TTL 降低
## 3. 香港停机冻结
在香港主环境执行：
1. 停止业务写入
2. 停 `ppanel-server`
3. 保留 Nginx 维护页或直接下线入口
建议命令：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml stop ppanel-server
```
冻结后确认：
- `/v1/common/heartbeat` 不再提供正式流量
- 不再有新写入进入香港 MySQL / Redis
## 4. 导出香港数据
### 4.1 MySQL
从香港主库导出：
```bash
mysqldump \
-h hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com \
-u admin \
-p \
--single-transaction \
--routines \
--triggers \
--events \
--set-gtid-purged=OFF \
hifast | gzip > hifast-full.sql.gz
```
### 4.2 Redis
在香港 Redis 主库导出：
```bash
docker exec hifast-redis redis-cli -a '<REDIS_PASSWORD>' BGSAVE
docker cp hifast-redis:/data/dump.rdb ./dump.rdb
```
## 5. 导入东京
### 5.1 MySQL 导入东京 RDS
```bash
gunzip -c hifast-full.sql.gz | mysql -h <TOKYO_RDS_ENDPOINT> -u admin -p hifast
```
导入后确认：
```bash
mysql -h <TOKYO_RDS_ENDPOINT> -u admin -p -e "USE hifast; SHOW TABLES;"
```
### 5.2 Redis 导入东京
1. 停止东京 Redis 容器
2. 替换 `/data/dump.rdb`
3. 启动东京 Redis 容器
导入后确认：
```bash
docker exec hifast-redis redis-cli -a '<TOKYO_REDIS_PASSWORD>' PING
```
## 6. 启动东京应用
更新东京：
- `/opt/ppanel/configs/ppanel.yaml`
- `/opt/ppanel/.env`
关键值：
- `MySQL.Addr=<TOKYO_RDS_ENDPOINT>:3306`
- `MySQL.Username=admin`
- `MySQL.Password=<TOKYO_RDS_PASSWORD>`
- `Redis.Host=127.0.0.1:6379`
- `Redis.Pass=<TOKYO_REDIS_PASSWORD>`
- `Site.Host=api-jp.hifast.biz`
- `.env` 中 `AWS_REGION=ap-northeast-1`
注意：
- 东京这台 RDS 当前不是 Secrets Manager 托管密码
- AWS 控制台不能回看旧密码明文
- 如果现有密码遗失，只能在 RDS 修改页重置新密码，再同步写入东京 `ppanel.yaml`
当前东京已实际生效：
- `MySQL.Addr=ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com:3306`
- `MySQL.Username=admin`
- `MySQL.Password=TkyRds20260521!N9mQ8sKe2vLp7Xa`
- `Redis.Host=127.0.0.1:6379`
- `Redis.Pass=hifast67yj`
启动：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d
```
## 7. 东京平行环境验收
至少执行：
```bash
curl -sf http://127.0.0.1:8080/v1/common/heartbeat
curl -sf http://127.0.0.1/v1/common/heartbeat
docker compose -f /opt/ppanel/docker-compose.cloud.yml ps
docker compose -f /opt/ppanel/docker-compose.cloud.yml logs --tail=200 ppanel-server
```
必须验证：
- ALB 健康检查返回 `200`
- 后台可登录
- 用户登录 / 注册 / 订阅正常
- 验证码 / 会话 / 限流正常
- MySQL / Redis 无连接错误
- WAF 不误伤正常请求
- 平行域名外网访问正常
## 8. 正式域名切换
仅在东京平行环境验收全部通过后执行：
1. 将正式域名切到东京 `ALB`
2. 观察 5xx、延迟、容器日志、RDS、Redis
3. 保持香港不删，只做回滚保留
## 9. 104 灾备重挂
### 9.1 MySQL
在东京 RDS 上：
```sql
CALL mysql.rds_set_configuration('binlog retention hours', 24);
CREATE USER IF NOT EXISTS 'repl'@'104.238.220.230' IDENTIFIED BY '<REPL_PASSWORD>';
GRANT REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'repl'@'104.238.220.230';
FLUSH PRIVILEGES;
SHOW BINARY LOG STATUS;
```
当前东京已准备完成：
- `repl@104.238.220.230`
- 复制密码：`XwWrQGVWtxmXJ3etHmkFvnRSD54MKYer`
- binlog file：`mysql-bin-changelog.000189`
- binlog pos：`185053`
然后在 `104` 重建并挂从。
### 9.2 Redis
将 `104` Redis 指向东京 EC2 Redis 主库，确认：
- 东京 `role:master`
- 东京 `connected_slaves:1`
- `104` `role:slave`
- `104` `master_link_status:up`
## 10. 回滚
如果东京验收失败：
- 不切正式域名
- 继续保留香港主环境
如果正式切换后发现严重问题：
1. 立刻把 DNS 切回香港
2. 恢复香港 `ppanel-server`
3. 放弃本次东京接管
## 11. 切换后观察期
切换后至少保留香港环境 `7` 天：
- 香港 RDS 快照
- 香港 Redis RDB
- 香港 EC2 配置
- 香港 `ppanel.yaml` 备份
观察期内不删除香港资源。
ops/hifast-aws-standby-architecture-zh.md
-696
View File
@@ -1,696 +0,0 @@
# Hifast AWS 主生产 + 外部备用 完整部署方案与访问架构
本文档整理当前已经实际落地的生产架构、访问链路、数据库与缓存主从关系、网络边界、故障切换方案，以及后续扩展建议。
目标是让团队在一个文档里就能看清：
- 现在生产到底部署成了什么样
- 请求是怎么进来的，数据是怎么流转的
- AWS 与外部备用服务器分别承担什么角色
- MySQL / Redis 的同步关系是什么
- 故障时应该如何切换
## 0. 2026-05-13 验收摘要
- 已确认 `104.238.220.230 -> AWS RDS MySQL` 连通，MySQL 外部从库健康：
- 当前复制上游：`hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
- 已确认 `104.238.220.230 -> AWS EC2 Redis` 主从健康：
- `104` 上 `role:slave`
- `master_link_status:up`
- AWS Redis 主库 `connected_slaves:1`
- 已修复应用侧 Redis 配置漂移：
- 旧链路：`127.0.0.1:6380 -> stunnel4 -> 旧 ElastiCache`
- 新链路：`127.0.0.1:6379 -> 本机 Docker Redis`
- 旧 `stunnel4` 已停用并禁用自启，`ppanel-server` 日志里的 Redis `i/o timeout` 已停止出现。
- 已确认 `ppanel-server` 当前运行方式为 Docker Compose 容器，而不是 systemd 服务：
- Compose 文件：`/opt/ppanel/docker-compose.cloud.yml`
- 配置文件：`/opt/ppanel/configs/ppanel.yaml`
- 容器名：`ppanel-server`
- 健康检查：`curl http://127.0.0.1:8080/v1/common/heartbeat` 返回正常
- 旧自建安全组 `hifast-hk-app-sg`、`hifast-hk-nginx-sg` 已删除；当前 VPC 内仅保留：
- `hifast-hk-app-core-sg`
- `hifast-hk-rds-core-sg`
- `hifast-hk-web-sg`
- `default`
- 目前已经达到“可用且关键链路已恢复”的状态。
- 当前入口层属于已确认的过渡方案：
- 现阶段公网入口仍在 `hifast-hk-app-01`
- 独立 `nginx` 服务器已预留，待 AWS 后续资源到位后再迁移承接
- 当前仍需要继续收敛的核心生产项只剩 1 个：
- RDS 为了让 `104` 走公网白名单复制，当前仍依赖 `hifast-hk-private-1b` 子网临时挂到公网路由表，这不是最终规范形态。
- 已完成的下一步准备：
- 已创建纯公网子网专用的 `DB subnet group`：`hifast-hk-rds-public-only-sgprep`
- 子网包含：
- `subnet-070e3f264a9c79f32` `hifast-hk-public-1a`
- `subnet-00cb5add705c447c8` `hifast-hk-public-1b`
- 已创建专用 S3 备份桶：
- `hifast-prod-backups-200810848252-ap-east-1`
- 当前状态：private
- 当前状态：versioning enabled
## 1. 当前实际环境
### 1.1 AWS 区域
- Region: `ap-east-1`
- 说明：香港区
### 1.2 已确认资源
#### 应用服务器
- 名称：`hifast-hk-app-01`
- Instance ID: `i-079cd9d3ef3748714`
- 角色：当前实际生产入口 / Nginx / 业务服务 / AWS 侧 Redis 主库宿主机
- 私网 IP: `10.0.1.201`
- 公网 IP: `18.163.33.75`
- 业务服务运行方式：`Docker Compose`
- 业务容器：`ppanel-server`
- 部署目录：`/opt/ppanel`
- 实际配置文件：`/opt/ppanel/configs/ppanel.yaml`
#### 独立 Nginx 服务器
- 名称：`hifast-hk-nginx-01`
- Instance ID: `i-0701d54bf2c6bf594`
- 角色：计划中的独立入口机
- 私网 IP: `10.0.1.175`
- 当前状态：`stopped`
- 当前说明：已经只绑定 `hifast-hk-web-sg`，但目前并未承接正式流量
#### MySQL 主库
- 类型：`AWS RDS MySQL`
- 实例名：`hifast-mysql-prod-v2`
- Endpoint: `hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- 角色：生产主库
- Engine: `MySQL 8.4.8`
- Publicly accessible: `Yes`
- Multi-AZ: `No`
- Backup retention: `7 days`
- Deletion protection: `On`
- 当前数据库实际体量：约 `187.41 MB`
- 当前表数量：`37`
- 当前 `user` 表记录数：`45076`
#### Redis 主库
- 部署位置：`AWS EC2 hifast-hk-app-01`
- 部署方式：`Docker`
- 容器名：`hifast-redis`
- 版本：`redis:8.2.1`
- 访问端口：`6379`
- 主库出口地址：`18.163.33.75:6379`
- 应用当前实际连接：`127.0.0.1:6379`
- 认证方式：已启用密码认证
#### 外部备用服务器
- IP: `104.238.220.230`
- OS: `Ubuntu 24.04 LTS`
- 角色：异地备用节点
- 当前状态：已部署与 AWS 相同的业务服务
- 当前 MySQL 状态：外部只读从库
- 当前 Redis 部署方式：`宿主机原生安装`
- 当前 Redis 版本：`8.6.3`
- 当前 Redis 角色：`AWS Redis 主库的从库`
#### S3 备份桶
- Bucket: `hifast-prod-backups-200810848252-ap-east-1`
- Region: `ap-east-1`
- Public access: blocked
- Versioning: enabled
## 2. 架构总览
```mermaid
flowchart TB
USER["用户 / 客户端"] --> DNS["域名 / DNS / 入口层"]
DNS --> APP["AWS EC2\nhifast-hk-app-01\n18.163.33.75\n10.0.1.201"]
APP --> RDS["AWS RDS MySQL\nhifast-mysql-prod-v2\n主库"]
APP --> REDISM["AWS Redis 主库\nDocker redis:8.2.1\n18.163.33.75:6379"]
RDS -. MySQL 备用 / 同步 .-> MYSQLS["104.238.220.230\nMySQL 备用库"]
REDISM -. Redis 主从复制 .-> REDISS["104.238.220.230\n原生 Redis 8.6.3\n从库"]
subgraph AWS["AWS ap-east-1"]
APP
RDS
REDISM
end
subgraph BACKUP["异地备用节点"]
MYSQLS
REDISS
end
```
## 3. 访问链路
### 3.1 用户访问链路
当前生产访问链路可以概括为：
`用户 -> 域名 / DNS -> AWS EC2 应用机 -> MySQL / Redis`
说明：
- 当前主应用入口实际在 `hifast-hk-app-01`。
- `hifast-hk-app-01` 同时承担 Nginx、业务服务、Redis 主库。
- 当前业务服务不是 systemd 单进程部署，而是由 `/opt/ppanel/docker-compose.cloud.yml` 管理的 `ppanel-server` 容器提供 `8080`。
- 独立入口机 `hifast-hk-nginx-01` 已存在，但当前仅作为后续资源开通后的迁移目标。
- MySQL 在 AWS RDS。
- Redis 不在 ElastiCache，而是在 EC2 本机通过 Docker 提供。
### 3.2 应用访问数据链路
应用侧内部依赖关系如下：
```text
App / Nginx
-> RDS MySQL 主库
-> AWS EC2 Redis 主库
```
### 3.3 备用链路
备用服务器 `104.238.220.230` 当前已经部署同样的业务服务，但正常情况下不直接承担正式流量，而是承担：
- 备用应用节点
- MySQL 异地备用
- Redis 异地从库
也就是说，正常情况下：
- 用户正式流量默认不走 `104`
- `104` 已具备接管业务的基础应用环境
- `104` 主要处于待命同步和灾备状态
## 4. 网络与安全边界
### 4.1 当前安全组
截至 `2026-05-13`，VPC `vpc-09fc384522517debc` 内仅保留 4 个安全组：
- `default`
- `hifast-hk-app-core-sg`
- `hifast-hk-rds-core-sg`
- `hifast-hk-web-sg`
其中绑定关系已经收敛为：
- `hifast-hk-app-01` -> `hifast-hk-app-core-sg`
- `hifast-hk-nginx-01` -> `hifast-hk-web-sg`
- `hifast-mysql-prod-v2` -> `hifast-hk-rds-core-sg`
旧组：
- `hifast-hk-app-sg`
- `hifast-hk-nginx-sg`
已经删除，不再使用。
### 4.2 当前入站规则
#### `hifast-hk-app-core-sg`
- `22/tcp <- 0.0.0.0/0`
- `6379/tcp <- 104.238.220.230/32`
- `8080/tcp <- hifast-hk-web-sg`
#### `hifast-hk-rds-core-sg`
- `3306/tcp <- 104.238.220.230/32`
- `3306/tcp <- hifast-hk-app-core-sg`
#### `hifast-hk-web-sg`
- `22/tcp <- 0.0.0.0/0`
- `80/tcp <- 0.0.0.0/0`
- `443/tcp <- 0.0.0.0/0`
### 4.3 Redis 网络关系
```mermaid
flowchart LR
SG["hifast-hk-app-core-sg"] --> REDIS["AWS Redis 主库\n18.163.33.75:6379"]
STANDBY["104.238.220.230/32"] --> SG
```
### 4.4 RDS 访问原则
RDS 当前状态已经比之前干净很多：
- 当前只对白名单和应用安全组开放 `3306`
- 已移除 `3306 <- 0.0.0.0/0`
- 当前 RDS 仅绑定 `hifast-hk-rds-core-sg`
建议原则：
- 不开放 `0.0.0.0/0` 到 MySQL `3306`
- 不开放 `0.0.0.0/0` 到 Redis `6379`
### 4.5 当前仍需继续收敛的网络点
#### 4.5.1 入口层当前属于过渡方案，不作为本阶段阻塞项
当前运行形态是：
- `hifast-hk-app-01` 本机 `nginx` 正在监听 `80/443`
- `hifast-hk-nginx-01` 当前停止
但当前安全组设计是按“独立 nginx 机”拆的：
- `hifast-hk-web-sg` 在 `hifast-hk-nginx-01`
- `hifast-hk-app-core-sg` 在 `hifast-hk-app-01`
这意味着当前真实入口和安全组角色划分还没有完全一致。
但这一点已经被确认为过渡设计，不作为当前阶段必须整改的问题。后续待 AWS 新资源到位后，再把公网入口迁到独立 `nginx` 服务器即可。
#### 4.5.2 RDS 公网复制链路仍是当前唯一核心结构性问题
为了让 `104.238.220.230` 通过公网白名单访问 RDS，当前实际依赖的是：
- RDS `PubliclyAccessible = true`
- RDS ENI 仍在 `subnet-0dcf46db665b6d8a7`
- 该子网名称是 `hifast-hk-private-1b`
- 但这个子网当前被临时关联到了公网路由表
这能用，但不属于最终规范的“纯公网子网组”设计。
本轮已经额外完成的准备动作：
- 已新建纯公网 `DB subnet group`：`hifast-hk-rds-public-only-sgprep`
- 该组状态：`Complete`
- 该组仅包含两条公网子网：
- `hifast-hk-public-1a`
- `hifast-hk-public-1b`
当前结论：
- 不建议继续在现有生产 RDS 上反复试在线切子网组。
- 更稳的收敛方案是：新建一台使用规范公网子网组的生产 RDS，再做一次短切换。
- 由于当前库体量只有约 `187 MB`，这条路线的执行成本并不高，风险也比在现网主库上硬改更可控。
## 4.6 104 如何连接 AWS
这里要特别区分：
- `104` 连接 AWS 数据层
- 本地电脑登录 AWS EC2
这不是同一件事。
### 4.6.1 104 连接 AWS Redis 的方式
`104.238.220.230` 连接 AWS Redis，不是通过 PEM 证书，也不是通过 SSH 登录 AWS 机器，而是直接作为 Redis 从库去访问 AWS Redis 主库：
- 目标地址：`18.163.33.75:6379`
- 连接方式：`TCP`
- 认证方式：`Redis 密码`
- 网络前提：AWS EC2 安全组已放行 `104.238.220.230/32 -> 6379`
也就是说：
```text
104 Redis 从库 -> 直连 AWS Redis 主库公网地址 -> 密码认证 -> 建立复制
```
示意命令：
```bash
redis-cli -h 18.163.33.75 -p 6379 -a '<REDIS_PASSWORD>'
```
### 4.6.2 104 连接 AWS MySQL RDS 的方式
`104.238.220.230` 连接 AWS RDS，也不是通过 PEM 证书，而是通过数据库连接：
- 目标地址：`hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306`
- 连接方式：`MySQL TCP`
- 认证方式：`MySQL 用户名 + 密码`
- 网络前提：RDS 白名单或安全组放行 `104.238.220.230`
也就是说：
```text
104 MySQL 从库 -> 直连 AWS RDS endpoint -> 账号密码认证 -> 建立复制
```
示意命令：
```bash
mysql -h hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com -u admin -p
```
### 4.6.3 本地电脑登录 AWS EC2 的方式
本地电脑这边之前进入 AWS EC2，用的不是 `hifast-hk-app-01-key.pem`，而是：
- `AWS Console`
- `EC2 Instance Connect`
- 浏览器里的 Web SSH 终端
所以当前要理解成 3 条不同链路：
1. 本地电脑 -> AWS 控制台 -> EC2 Instance Connect -> AWS EC2
2. `104` -> AWS Redis 主库公网地址 -> Redis 密码认证
3. `104` -> AWS RDS endpoint -> MySQL 用户密码认证
### 4.6.4 关键结论
当前灾备链路里，`104` 与 AWS 数据同步不依赖 `.pem` 证书文件。
真正依赖的是：
- Redis 安全组放行
- RDS 白名单 / 安全组放行
- 正确的 Redis 密码
- 正确的 MySQL 账号密码
## 5. Redis 实际部署与同步状态
### 5.1 AWS Redis 主库
- 部署方式：Docker
- 版本：`8.2.1`
- 主库地址：`18.163.33.75:6379`
- 运行容器：`hifast-redis`
### 5.2 104 Redis 从库
- 部署方式：宿主机原生安装
- 版本：`8.6.3`
- 角色：`replica / slave`
### 5.3 Redis 主从状态
最终已验证结果：
- `104` 上 Redis：`role:slave`
- `104` 上 Redis：`master_link_status:up`
- AWS Redis 主库：`connected_slaves:1`
- AWS Redis 主库识别到从库：`104.238.220.230:6379`
### 5.4 Redis 验证结果
已做过的验证：
- 从 `104` 连接 AWS Redis 主库，认证成功
- AWS 主库写入测试键
- `104` 从库成功读取测试键
- `2026-05-13` 已确认应用机本地 `ppanel-server -> 127.0.0.1:6379` 建立稳定连接
- `2026-05-13` 已确认旧 `stunnel4 -> ElastiCache` 链路下线后，应用日志不再出现 Redis `i/o timeout`
测试键：
- key: `hifast_replication_test`
- value: `ok_20260510`
### 5.5 Redis 主从拓扑
```mermaid
flowchart LR
REDISMASTER["AWS Redis 主库\n18.163.33.75:6379\nDocker redis:8.2.1"]
REDISSLAVE["104.238.220.230\n原生 Redis 8.6.3\nrole: slave"]
REDISMASTER --> REDISSLAVE
```
## 6. MySQL 部署与备用关系
### 6.1 主库角色
- 主库在 `AWS RDS MySQL`
- 实例：`hifast-mysql-prod-v2`
### 6.2 外部备用角色
- `104.238.220.230` 上存在 MySQL 备用用途
- 目标是让 `104` 尽量实时同步 AWS 数据
### 6.3 当前文档说明
MySQL 当前已经完成实际验收，不再只是“待确认”状态。
`2026-05-13` 验收结果：
- `Source_Host = hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com`
- `Replica_IO_Running = Yes`
- `Replica_SQL_Running = Yes`
- `Seconds_Behind_Source = 0`
- `read_only = ON`
- `super_read_only = ON`
这表示 `104` 当前是健康的只读外部备用库。
MySQL 这部分在此前已经有专门 runbook：
- [ops/aws-rds-external-replica-runbook.md](/Users/Apple/code_vpn/vpn/ppanel-server/ops/aws-rds-external-replica-runbook.md)
## 7. 当前生产方案的真实特点
这套已经落地的架构，不是传统的全 AWS 托管标准形态，而是偏实用的混合方案：
- 应用和当前实际公网入口在 AWS 同一台 EC2
- MySQL 在 AWS RDS
- Redis 在 AWS EC2 本机
- MySQL / Redis 均向外部服务器 `104` 做灾备
- 旧 ElastiCache / stunnel 链路已经退出当前生产路径
它的优点：
- 成本相对可控
- Redis 可完全自主控制
- 外部备用机可以独立接管
它的代价：
- Redis 高可用需要人工切换
- 外部灾备不是全自动故障转移
- 应用切换需要明确操作步骤
## 8. 故障切换方案
### 8.1 正常状态
```mermaid
flowchart TD
A["用户访问"] --> B["AWS EC2 应用机"]
B --> C["AWS RDS MySQL 主库"]
B --> D["AWS Redis 主库"]
C -. 同步 .-> E["104 MySQL 备用"]
D -. 复制 .-> F["104 Redis 从库"]
```
### 8.2 AWS 故障后的目标切换状态
```mermaid
flowchart TD
A["AWS 故障"] --> B["应用入口切到 104"]
B --> C["104 MySQL 提供主服务"]
B --> D["104 Redis 提升为主库"]
D --> E["应用连接 104 Redis"]
C --> F["应用连接 104 MySQL"]
```
### 8.2.1 Nginx 是否可以直接切到 104
可以，但前提不是“只切 Nginx 就完成故障切换”。
因为 `104` 虽然已经部署了同样的业务服务，但如果故障发生时：
- Redis 还保持从库只读状态
- MySQL 还没有切成可写主角色
- 应用配置还没有确认指向 `104` 本机数据层
那么即使 Nginx 已经把流量转到 `104`，业务也可能仍然无法正常写入。
所以更准确的原则是：
`104` 已具备应用接管能力，Nginx 切换可以作为最后一步对外放流量动作，但不能作为唯一动作。
### 8.3 Redis 切换动作
当 AWS Redis 不可用时，`104` 上的 Redis 需要解除主从关系：
```bash
redis-cli -a '<REDIS_PASSWORD>' REPLICAOF NO ONE
```
切换后：
- `104` Redis 从库变为主库
- 业务应用把 Redis 地址改到 `104.238.220.230:6379`
### 8.4 MySQL 切换动作
当 AWS RDS 不可用时，需要让 `104` MySQL 接管写流量。
这部分是否能立即切，需要依赖：
- 当前 `104` MySQL 是否是健康从库
- 是否已经取消只读
- 应用数据库配置是否能快速切换到 `104`
### 8.5 应用切换动作
应用层需要准备至少这 2 个切换点：
- MySQL 连接地址切换到 `104`
- Redis 连接地址切换到 `104`
如果应用入口也要迁移到 `104`，还需要：
- 域名解析切换
- 或者网关 / 入口切换
### 8.6 推荐的实际切换顺序
因为 `104` 已经部署同样的应用服务，所以 AWS 故障时推荐按下面顺序操作：
1. 确认 `104` 上业务服务和 Nginx 进程正常。
2. 将 `104` 上 Redis 从库提升为主库。
3. 将 `104` 上 MySQL 从库切换为可写主库。
4. 确认 `104` 上应用配置已指向本机 MySQL / Redis。
5. 最后再把 Nginx 上游或域名流量切到 `104`。
可以把它理解成：
`先数据接管 -> 再应用确认 -> 最后入口切流量`
## 9. 建议的运维操作顺序
### 9.1 平时
平时重点看：
- AWS EC2 是否在线
- RDS 是否在线
- AWS Redis 主库是否在线
- `104` Redis 从库是否 `master_link_status:up`
- `104` MySQL 复制是否正常
- `ppanel-server` 容器是否 `Up`
- `ppanel-server` 日志中是否再次出现 Redis `i/o timeout`
- `stunnel4` 是否保持 `inactive`
### 9.2 Redis 故障时
1. 确认 AWS Redis 主库不可恢复。
2. 在 `104` 执行 `REPLICAOF NO ONE`。
3. 修改应用 Redis 地址到 `104.238.220.230:6379`。
4. 验证应用读写 Redis 正常。
### 9.3 MySQL 故障时
1. 确认 RDS 故障。
2. 确认 `104` MySQL 数据已同步到最新可用点。
3. 去掉 `104` MySQL 只读限制。
4. 修改应用 MySQL 地址到 `104`。
5. 验证应用读写数据库正常。
### 9.4 整体 AWS 故障时
1. 把 Redis 主角色切到 `104`。
2. 把 MySQL 主角色切到 `104`。
3. 确认 `104` 上同版本应用服务正常。
4. 把应用入口切到备用应用节点。
5. 更新 DNS 或 Nginx 上游流量入口。
6. 验证用户访问链路。
## 10. 当前方案与理想方案的差异
### 10.1 当前实际方案
`DNS -> hifast-hk-app-01(Nginx + App + Redis) -> RDS MySQL -> 104 灾备`
### 10.2 理想生产方案
从长期稳定性看，更推荐未来演进为：
`DNS / CDN -> ALB -> 多台 EC2 App -> RDS MySQL -> 托管 Redis / 或高可用 Redis`
异地灾备继续保留：
- AWS 生产
- 104 异地接管
### 10.3 当前最值得继续补的项
建议按优先级补齐：
1. 把 RDS 从“private 子网挂公网路由”的临时方案，收敛成真正的公网 DB subnet group，或改成私网复制方案
2. 明确 `104` 应用接管脚本与启动检查项
3. 明确 MySQL 故障切换脚本
4. 明确 Redis 故障切换脚本
5. 明确域名 / DNS 切换方式
6. 做一次完整灾备演练
7. 待 AWS 新资源到位后，再把公网入口迁到独立 `nginx` 服务器
### 10.4 RDS 推荐收敛路线
当前原先规划的“新建规范 RDS 再切换”路线已经完成，现网主库已经是 `hifast-mysql-prod-v2`。
后续更推荐的正式路线是：
1. 继续以 `hifast-mysql-prod-v2` 作为当前生产主库
2. 确认其持续使用 `hifast-hk-rds-public-only-sgprep`
3. 安全组持续只放：
- `104.238.220.230/32 -> 3306`
- `hifast-hk-app-core-sg -> 3306`
4. 持续确认应用连接目标为 `hifast-mysql-prod-v2`
5. 持续确认 `104` 的外部复制目标为 `hifast-mysql-prod-v2`
6. 验证通过后，再安排旧 RDS 下线
这条路线的优点：
- 最终拓扑规范清晰
- 不需要继续保留“private 子网挂公网路由”的临时设计
- 对当前现网主库的扰动最小
- 当前数据库体量较小，迁移成本可控
## 11. 建议的下一版目标拓扑
```mermaid
flowchart TB
USER["用户 / 客户端"] --> DNS["DNS / CDN / 入口层"]
DNS --> APPAWS["AWS 应用集群"]
DNS -. 故障时切换 .-> APPBK["104 备用应用节点"]
APPAWS --> RDSAWS["AWS RDS MySQL 主库"]
APPAWS --> REDISAWS["AWS Redis 主库"]
RDSAWS -. 同步 .-> MYSQLBK["104 MySQL 备用"]
REDISAWS -. 复制 .-> REDISBK["104 Redis 备用"]
APPBK --> MYSQLBK
APPBK --> REDISBK
```
## 12. 本文档结论
截至当前，已经可以确认的生产与灾备状态是：
- AWS 是主生产环境
- 应用当前跑在 `hifast-hk-app-01`
- MySQL 主库在 AWS RDS
- Redis 主库在 AWS EC2 Docker
- `104.238.220.230` 是异地备用节点
- `104` 已部署与 AWS 相同的业务服务
- `104` 上 Redis 已切为宿主机原生安装
- `104` Redis 已成功作为 AWS Redis 主库的从库在线同步
- `104` MySQL 已恢复并保持健康复制
- 应用已经切回当前真实可用的本机 Redis 主库
- 旧 `stunnel4 -> ElastiCache` 链路已经退出生产路径
如果后续要继续完善这份方案，优先补充：
- RDS 子网与公网访问模型收敛
- 入口域名 / DNS 切换细则
- 应用层在 `104` 的接管与回切执行清单
- 待资源到位后的独立 `nginx` 迁移清单
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# Hifast 当前架构文档（东京主站版）
最后更新：`2026-05-21`
这份文档只描述**当前真实生效**的架构，不描述理想目标，不混入已经下线或待迁移的香港旧链路。
如果后续东京 `ALB / WAF / 正式域名` 上线，应继续更新这份文档，而不是回头参考旧香港架构文档。
## 1. 当前结论
当前已经实际跑起来的是：
`用户 / 运维 -> 东京 EC2 -> ppanel-server + Redis + observability -> 东京 RDS MySQL`
当前还**没有**实际生效的组件：
- `ALB`
- `WAF`
- 正式域名切流
- `104.238.220.230` 重挂东京 MySQL / Redis 从库
也就是说，东京环境目前是：
- 一台业务 EC2 已可用
- 一台东京 RDS 已可用
- 本机 Redis 已可用
- `ppanel-server` 已成功启动并连通 MySQL / Redis
- 灾备链路参数已准备好，但 `104` 还没最终挂上去
## 2. 当前真实拓扑
```mermaid
flowchart TB
USER["用户 / 运维"] --> EIP["东京 EC2 公网入口\n3.114.29.208"]
EIP --> NGINX["Nginx\nEC2 本机"]
NGINX --> APP["ppanel-server\nhost network\n127.0.0.1:8080"]
APP --> REDIS["Redis Docker\n127.0.0.1:6379"]
APP --> RDS["Tokyo RDS MySQL\nppanel-mysql-jp"]
APP --> OBS["Grafana / Loki / Tempo / Prometheus"]
RDS -. 预留复制 .-> DRMYSQL["104.238.220.230\nMySQL DR\n未最终接入"]
REDIS -. 预留复制 .-> DRREDIS["104.238.220.230\nRedis DR\n未最终接入"]
```
## 3. 云资源清单
### 3.1 Region
- AWS account: `hifastvpn (200810848252)`
- Region: `ap-northeast-1`
### 3.2 网络
- VPC: `ppanel-jp-prod`
- VPC ID: `vpc-0846b23b4a7d64eac`
- CIDR: `10.20.0.0/16`
公有子网：
- `ppanel-jp-public-a` / `subnet-091232bdb53e71490` / `10.20.0.0/24`
- `ppanel-jp-public-c` / `subnet-01ba0975c525ce8cf` / `10.20.1.0/24`
私有子网：
- `ppanel-jp-private-a` / `subnet-0bd13111c02f0edbe` / `10.20.10.0/24`
- `ppanel-jp-private-c` / `subnet-0d86c5c756dbc84b2` / `10.20.11.0/24`
### 3.3 安全组
- `ppanel-jp-sg-alb`
- `80/tcp <- 0.0.0.0/0`
- `443/tcp <- 0.0.0.0/0`
- `ppanel-jp-sg-ec2`
- `80/tcp <- sg-0b3a23c31041a5a5a`
- `22/tcp <- 64.118.144.142/32`
- `6379/tcp <- 104.238.220.230/32`
- `ppanel-jp-sg-rds`
- `3306/tcp <- sg-01f2a5a81e7505c91`
- `3306/tcp <- 104.238.220.230/32`
## 4. 计算与数据库
### 4.1 业务 EC2
- Name: `ppanel-app-jp-01`
- Instance ID: `i-07839130074cd7ed9`
- Type: `c7i.xlarge`
- AZ: `ap-northeast-1c`
- Private IP: `10.20.1.168`
- Public IP / Elastic IP: `3.114.29.208`
- Public DNS: `ec2-3-114-29-208.ap-northeast-1.compute.amazonaws.com`
- Root volume: `gp3 100GiB`
- Status: `running`
说明：
- 当前公网入口是这台 EC2 自己
- 这里绑定的是 `EIP`，不是依赖实例自动分配的临时公网 IP
- 绑定 EIP 的目的，是保证以后 Redis 主从、白名单、DNS、文档里的公网地址不因为实例变更而漂移
### 4.2 Tokyo RDS
- Identifier: `ppanel-mysql-jp`
- Engine: `MySQL Community 8.4.8`
- Class: `db.r7g.xlarge`
- Storage: `gp3 100GiB`
- Master user: `admin`
- Endpoint: `ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com`
- Public access: `enabled`
- Credential management: `self-managed`
- Current status: `available`
当前实际连接值：
- Host: `ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com`
- Port: `3306`
- User: `admin`
### 4.3 Redis
- 部署位置：东京 EC2 本机
- 部署方式：Docker
- 容器名：`ppanel-redis`
- 当前角色：`master`
- 当前监听：`127.0.0.1:6379`（应用本机访问）
- 当前对灾备开放：`3.114.29.208:6379`
### 4.4 应用与可观测
业务容器：
- `ppanel-server`
可观测容器：
- `ppanel-grafana`
- `ppanel-loki`
- `ppanel-promtail`
- `ppanel-prometheus`
- `ppanel-tempo`
- `ppanel-cadvisor`
- `ppanel-node-exporter`
- `ppanel-nginx-exporter`
## 5. 当前部署方式
部署目录：
- `/opt/ppanel`
关键文件：
- `/opt/ppanel/docker-compose.cloud.yml`
- `/opt/ppanel/configs/ppanel.yaml`
- `/opt/ppanel/.env`
业务启动方式：
- `ppanel-server` 使用 `docker compose`
- `network_mode: host`
当前配置指向：
- MySQL -> 东京 RDS
- Redis -> 本机 Docker Redis
- Trace -> `127.0.0.1:4317`
## 6. 当前已验证状态
截至 `2026-05-21` 已确认：
- `docker exec ppanel-redis redis-cli -a 'hifast67yj' PING` 返回 `PONG`
- `MYSQL_PWD=... mysql -h ppanel-mysql-jp.cpo0keikgh80.ap-northeast-1.rds.amazonaws.com -u admin -e "select 1"` 返回正常
- `docker compose -f /opt/ppanel/docker-compose.cloud.yml up -d ppanel-server` 已成功
- `docker logs ppanel-server` 无 MySQL / Redis 连接报错
- `curl http://127.0.0.1:8080/v1/common/heartbeat` 返回成功
可以认为当前东京单站已经具备：
- 服务启动能力
- 数据库连接能力
- Redis 连接能力
- 基础可观测能力
## 7. 当前未落地项
下面这些还属于“目标方案”，不是“当前实际架构”：
- `ALB`
- `WAF`
- ACM 证书完成 DNS 验证
- 正式域名切换到东京
- `104.238.220.230` 完整接成东京 DR
所以现在请不要把当前架构理解成：
`DNS -> ALB -> WAF -> EC2 -> RDS`
当前真实架构更准确地说是：
`EIP -> EC2(Nginx + ppanel-server + Redis + observability) -> RDS`
## 8. 灾备准备状态
### 8.1 MySQL DR
已准备好：
- DR host: `104.238.220.230`
- 复制账号：`repl@104.238.220.230`
- binlog retention hours: `24`
- current binlog file: `mysql-bin-changelog.000189`
- current binlog position: `185053`
当前状态：
- 东京侧已准备完成
- 但 `104` 侧还没有最终执行挂从
### 8.2 Redis DR
已准备好：
- 东京 Redis 主地址：`3.114.29.208:6379`
- 东京 Redis 当前角色：`role:master`
- 东京 Redis 当前状态：`connected_slaves:0`
当前状态：
- 东京侧已可作为主库提供同步
- 但 `104` 侧还没有最终执行 `REPLICAOF`
## 9. 权威文档入口
与当前东京架构直接相关的文档，以这些为准：
- [当前架构文档](./hifast-current-architecture-zh.md)
- [东京资源清单](../deploy/aws/ap-northeast-1/configs/resource-inventory.current.md)
- [东京迁移 Runbook](./hifast-aws-jp-migration-runbook-zh.md)
- [东京切换清单](./hifast-aws-jp-cutover-checklist-zh.md)
下面这些旧文档可以继续保留，但不要作为“当前实际架构”依据：
- 香港旧主站相关文档
- 仍以 `ap-east-1` 为主语的历史架构说明
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# Hifast 新 RDS 生产切换清单（已完成归档）
本文档记录已完成的 `hifast-mysql-prod -> hifast-mysql-prod-v2` 生产切换过程，作为归档和回溯参考。
本次切换已经完成，当时的目标是避免继续在线硬改现有生产 RDS，而是：
1. 新建一台规范公网子网组的新 RDS
2. 导入现有 `hifast` 数据
3. 将 AWS 应用切到新 RDS
4. 将 `104.238.220.230` 的外部从库改挂新 RDS
5. 验收通过后再下线旧 RDS
## 1. 适用背景
当前现网已经可用，但还存在 1 个结构性问题：
- 为了让 `104` 通过公网白名单做 MySQL 复制，当时的 `hifast-mysql-prod` 仍依赖 `hifast-hk-private-1b` 临时挂公网路由
当前已准备好的收敛资源：
- 纯公网 DB subnet group:
- `hifast-hk-rds-public-only-sgprep`
- 安全组：
- `hifast-hk-rds-core-sg`
## 2. 目标实例参数
建议新实例名称：
- `hifast-mysql-prod-v2`
建议参数如下：
- Region: `ap-east-1`
- Engine: `MySQL`
- Engine version: `8.4.8`
- Templates: `Production`
- DB instance class: `db.r7g.xlarge`
- Storage type: `gp3`
- Allocated storage: `200 GiB`
- Provisioned IOPS: `3000`
- Storage throughput: `125`
- Multi-AZ: `No`
- Publicly accessible: `Yes`
- VPC: `vpc-09fc384522517debc`
- DB subnet group: `hifast-hk-rds-public-only-sgprep`
- VPC security group: `hifast-hk-rds-core-sg`
- DB name: `hifast`
- Master username: `admin`
- Master password: 与现网保持一致
- Backup retention: `7 days`
- Performance Insights: `On`
- Storage encryption: `On`
- Deletion protection: `On`
- Auto minor version upgrade: 建议保持与现网一致
- Maintenance window: 可与现网同策略，建议维护窗口内切换
## 3. 切换前确认
切换前必须满足：
1. `104` 当前主从正常：
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
2. AWS 应用机心跳正常：
- `curl http://127.0.0.1:8080/v1/common/heartbeat`
3. AWS Redis 主从正常：
- AWS 主 `connected_slaves:1`
- `104` 从 `master_link_status:up`
4. 已确认当前应用真实配置文件：
- `/opt/ppanel/configs/ppanel.yaml`
5. 已确认当前应用重启方式：
- `cd /opt/ppanel && docker compose -f docker-compose.cloud.yml up -d ppanel-server`
## 4. 创建新 RDS
已在 AWS 控制台创建 `hifast-mysql-prod-v2`，未对原 `hifast-mysql-prod` 做高风险在线子网调整。
创建完成后先确认：
1. 新 endpoint 已分配
2. `Publicly accessible = Yes`
3. SG 为 `hifast-hk-rds-core-sg`
4. DB subnet group 为 `hifast-hk-rds-public-only-sgprep`
5. 从 `104` 可以 TCP 连通 `3306`
连通性验证：
```bash
nc -zv <NEW_RDS_ENDPOINT> 3306
```
## 5. 导出旧主库
在一台可连旧 RDS 的机器执行：
```bash
mysqldump \
-h hifast-mysql-prod.cd6aey40m6ag.ap-east-1.rds.amazonaws.com \
-u admin \
-p \
--single-transaction \
--routines \
--triggers \
--events \
--set-gtid-purged=OFF \
hifast > hifast-full.sql
```
说明：
- 当前业务库体量约 `187 MB`
- 这条路线的成本低，且比现网主库在线改子网更稳
## 6. 初始化新 RDS
先连接新 RDS：
```bash
mysql -h <NEW_RDS_ENDPOINT> -u admin -p
```
建议先执行：
```sql
CALL mysql.rds_set_configuration('binlog retention hours', 24);
CREATE USER IF NOT EXISTS 'repl'@'104.238.220.230' IDENTIFIED BY '<REPL_PASSWORD>';
GRANT REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'repl'@'104.238.220.230';
FLUSH PRIVILEGES;
```
如果库是空的，再导入：
```bash
mysql -h <NEW_RDS_ENDPOINT> -u admin -p hifast < hifast-full.sql
```
导入完成后确认：
```bash
mysql -h <NEW_RDS_ENDPOINT> -u admin -p -e "USE hifast; SHOW TABLES;"
```
## 7. 切换 AWS 应用到新 RDS
### 7.1 备份当前配置
在 AWS app EC2：
```bash
cp /opt/ppanel/configs/ppanel.yaml /opt/ppanel/configs/ppanel.yaml.bak.$(date +%Y%m%d%H%M%S)
```
### 7.2 修改数据库地址
编辑：
- `/opt/ppanel/configs/ppanel.yaml`
把：
```yaml
MySQL:
Addr: hifast-mysql-prod.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306
```
改成：
```yaml
MySQL:
Addr: hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com:3306
```
### 7.3 重启业务容器
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d ppanel-server
```
### 7.4 应用验收
```bash
curl -sf http://127.0.0.1:8080/v1/common/heartbeat
docker compose -f /opt/ppanel/docker-compose.cloud.yml logs --tail=100 ppanel-server
```
重点确认：
- 心跳返回 `200`
- 日志中无 MySQL 连接异常
## 8. 改挂 `104` 从库到新 RDS
先在新 RDS 获取位点：
```sql
SHOW MASTER STATUS;
```
然后在 `104` 执行：
```sql
STOP REPLICA;
RESET REPLICA ALL;
CHANGE REPLICATION SOURCE TO
SOURCE_HOST='hifast-mysql-prod-v2.cd6aey40m6ag.ap-east-1.rds.amazonaws.com',
SOURCE_PORT=3306,
SOURCE_USER='repl',
SOURCE_PASSWORD='<REPL_PASSWORD>',
SOURCE_LOG_FILE='<MASTER_LOG_FILE>',
SOURCE_LOG_POS=<MASTER_LOG_POS>,
SOURCE_SSL=1;
START REPLICA;
SHOW REPLICA STATUS\G
```
验收标准：
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
## 9. 切换后验收
至少做下面这些检查：
1. AWS 应用心跳正常
2. 管理后台可登录
3. 新建一条测试数据后，主库可见
4. `104` 从库能同步到该测试数据
5. Navicat 可从白名单来源连接新 RDS
6. Redis 主从仍正常，不受本次 MySQL 切换影响
推荐额外核对：
```bash
docker compose -f /opt/ppanel/docker-compose.cloud.yml ps
docker exec hifast-redis redis-cli -a '<REDIS_PASSWORD>' INFO replication
```
## 10. 回滚方案
如果切换后 AWS 应用异常：
1. 立刻把 `/opt/ppanel/configs/ppanel.yaml` 中 `MySQL.Addr` 改回旧 endpoint
2. 重启 `ppanel-server`：
```bash
cd /opt/ppanel
docker compose -f docker-compose.cloud.yml up -d ppanel-server
```
3. 优先恢复主生产可用
4. `104` 是否回切旧 RDS 复制，视恢复窗口决定
如果只是 `104` 复制改挂失败，但 AWS 应用已正常使用新 RDS：
- 不必立刻回滚应用
- 先修好 `104 -> 新 RDS` 的白名单、位点、用户或网络
## 11. 切换完成后的收尾
全部验收通过后再做：
1. 已将新 endpoint 记录到正式运维文档
2. 仍需根据回收窗口安排旧 RDS 下线
3. 仍需按网络收敛计划处理 `private-1b` 路由语义
4. 已更新外部复制 runbook 中的主库 endpoint
## 12. 当前建议的执行顺序
本次切换当时按以下顺序执行：
1. 创建 `hifast-mysql-prod-v2`
2. 验证新 RDS 网络与参数
3. 导出旧库
4. 导入新库
5. 创建 / 确认 `repl` 用户
6. 切 AWS 应用到新 RDS
7. 验证应用
8. 改挂 `104` 到新 RDS
9. 验证从库
10. 收尾，并保留旧 RDS 待后续下线
ops/hifast-s3-backup-runbook-zh.md
-311
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@@ -1,311 +0,0 @@
# Hifast S3 备份集成 Runbook
本文档记录 `2026-05-13` 已经实际确认和完成的 S3 备份集成状态，以及后续如何把它和当前 `AWS 主生产 + 104 外部备用` 架构结合起来。
## 1. 当前已完成状态
- 已创建 S3 备份桶：`hifast-prod-backups-200810848252-ap-east-1`
- Region: `ap-east-1`
- Public access: blocked
- Versioning: enabled
- 已确认 RDS 主库 `hifast-mysql-prod-v2` 自动备份已启用：
- retention: `7 days`
- `2026-05-13` 已有自动快照
- 已确认 `104.238.220.230` MySQL 外部从库健康，可作为逻辑备份源：
- `Replica_IO_Running: Yes`
- `Replica_SQL_Running: Yes`
- `Seconds_Behind_Source: 0`
- 已确认 `104.238.220.230` Redis 从库健康，可作为 RDB 备份源：
- `role:slave`
- `master_link_status:up`
## 2. 推荐组合方案
当前最稳的做法不是只依赖一种备份，而是保留两层：
1. `RDS automated backup`
2. `104` 从库导出的逻辑备份上传到 S3
原因：
- RDS 自动备份适合快速恢复整库
- S3 逻辑备份适合独立下载、跨环境恢复、长期归档
- 从 `104` 导出 MySQL / Redis 备份，对 AWS 主生产扰动最小
## 3. 仓库已补充内容
- MySQL 备份脚本：
- [`deploy/scripts/mysql_backup_to_s3.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/mysql_backup_to_s3.sh)
- Redis RDB 备份脚本：
- [`deploy/scripts/redis_rdb_backup_to_s3.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/redis_rdb_backup_to_s3.sh)
- 环境变量模板：
- [`deploy/aws/ap-east-1/configs/backup-to-s3.env.example`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/aws/ap-east-1/configs/backup-to-s3.env.example)
- 主从切换环境变量模板：
- [`deploy/aws/ap-east-1/configs/replica-ops.env.example`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/aws/ap-east-1/configs/replica-ops.env.example)
- 数据迁移交互工具：
- [`deploy/scripts/hifast_data_sync_tool.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_data_sync_tool.sh)
- 主从运维交互工具：
- 统一入口仍使用 [`deploy/scripts/hifast_data_sync_tool.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/hifast_data_sync_tool.sh)
## 4. 建议部署位置
### 4.1 MySQL
优先部署在 `104.238.220.230`：
- 直接从本地 MySQL 从库导出
- 不占用 AWS RDS 主库的备份窗口
- 故障时备份和备用节点仍在同一台机器上
### 4.2 Redis
优先部署在 `104.238.220.230`：
- 直接从 Redis 从库导出 `RDB`
- 不影响 AWS Redis 主库对外服务
## 5. 104 当前还缺的东西
截至 `2026-05-13`，`104` 已具备：
- `mysql`
- `mysqldump`
- `gzip`
但仍缺：
- `aws cli`
- 一套最小权限的 S3 上传凭证
## 6. 推荐权限模型
当前最实用的选择有两种：
1. `104` 使用专用 IAM 用户的最小权限 `AK/SK`
2. 未来如果备份转到 AWS EC2，再改为 `EC2 Instance Role`
按现有拓扑，推荐先走第 1 种，因为 MySQL 和 Redis 的备份源都在 `104`。
### 6.1 最小权限策略示例
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "ListBackupBucket",
"Effect": "Allow",
"Action": [
"s3:ListBucket"
],
"Resource": "arn:aws:s3:::hifast-prod-backups-200810848252-ap-east-1"
},
{
"Sid": "WriteBackupObjects",
"Effect": "Allow",
"Action": [
"s3:PutObject",
"s3:AbortMultipartUpload"
],
"Resource": "arn:aws:s3:::hifast-prod-backups-200810848252-ap-east-1/*"
}
]
}
```
说明：
- 不建议给 `s3:*`
- 不建议把 AK/SK 写进 repo
- 建议只写入 `104` 本机的 `/root/.aws/credentials`
## 7. 104 安装与配置步骤
### 7.1 安装 `aws cli`
```bash
apt-get update
apt-get install -y awscli
```
### 7.2 写入 AWS 凭证
```bash
mkdir -p /root/.aws
chmod 700 /root/.aws
cat >/root/.aws/credentials <<'EOF'
[default]
aws_access_key_id=CHANGE_ME
aws_secret_access_key=CHANGE_ME
EOF
chmod 600 /root/.aws/credentials
```
### 7.3 准备环境变量文件
```bash
cp deploy/aws/ap-east-1/configs/backup-to-s3.env.example /root/backup-to-s3.env
chmod 600 /root/backup-to-s3.env
```
把下面这些值改成真实值：
- `MYSQL_PASSWORD`
- `REDIS_PASSWORD`
- `HOST_TAG`
如果 MySQL 就跑在 `104` 本机，可保持：
- `MYSQL_HOST=127.0.0.1`
如果 Redis 就跑在 `104` 本机，可保持：
- `REDIS_HOST=127.0.0.1`
## 8. 手工执行方式
### 8.1 MySQL 逻辑备份
```bash
set -a
source /root/backup-to-s3.env
set +a
bash deploy/scripts/mysql_backup_to_s3.sh
```
默认产物：
- 本地：`/var/backups/hifast/*.sql.gz`
- S3：`s3://hifast-prod-backups-200810848252-ap-east-1/mysql/<HOST_TAG>/`
### 8.2 Redis RDB 备份
```bash
set -a
source /root/backup-to-s3.env
set +a
S3_PREFIX=redis bash deploy/scripts/redis_rdb_backup_to_s3.sh
```
默认产物：
- 本地：`/var/backups/hifast/*.rdb.gz`
- S3：`s3://hifast-prod-backups-200810848252-ap-east-1/redis/<HOST_TAG>/`
## 9. 定时任务建议
### 9.1 MySQL 每天凌晨执行
```cron
15 3 * * * . /root/backup-to-s3.env && /bin/bash /opt/ppanel/deploy/scripts/mysql_backup_to_s3.sh >>/var/log/hifast-mysql-backup.log 2>&1
```
### 9.2 Redis 每天凌晨执行
```cron
45 3 * * * . /root/backup-to-s3.env && S3_PREFIX=redis /bin/bash /opt/ppanel/deploy/scripts/redis_rdb_backup_to_s3.sh >>/var/log/hifast-redis-backup.log 2>&1
```
说明：
- MySQL 和 Redis 建议错峰执行
- 本地临时文件默认只保留 `3` 天
- 长期保留建议通过 S3 Lifecycle 管理，而不是靠本机 cron 删除
### 9.3 MySQL 每 10 分钟执行一次
如果你要在 `104` 上做高频逻辑备份，仓库里已经补了 `systemd timer` 安装脚本：
- 安装脚本：
- [`deploy/scripts/install_mysql_backup_timer.sh`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/scripts/install_mysql_backup_timer.sh)
- systemd service：
- [`deploy/systemd/hifast-mysql-backup.service`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/systemd/hifast-mysql-backup.service)
- systemd timer：
- [`deploy/systemd/hifast-mysql-backup.timer`](/Users/Apple/code_vpn/vpn/ppanel-server/deploy/systemd/hifast-mysql-backup.timer)
安装方式：
```bash
cp deploy/aws/ap-northeast-1/configs/backup-to-s3.env.example /root/backup-to-s3.env
chmod 600 /root/backup-to-s3.env
vim /root/backup-to-s3.env
bash deploy/scripts/install_mysql_backup_timer.sh /opt/ppanel /root/backup-to-s3.env
```
查看状态：
```bash
systemctl list-timers --all | grep hifast-mysql-backup
systemctl status hifast-mysql-backup.timer --no-pager -l
systemctl status hifast-mysql-backup.service --no-pager -l
journalctl -u hifast-mysql-backup.service -n 50 --no-pager
```
补充说明：
- 定时表达式是 `OnCalendar=*:0/10`，即每 `10` 分钟执行一次
- 备份脚本已加 `flock` 锁，上一轮未结束时，下一轮会自动跳过，不会并发打包
- 高频逻辑备份会持续产生 `mysqldump` 开销，建议只在 `104` 这样的从库或备用库上执行，不要直接打主库
## 10. 恢复思路
### 10.1 MySQL
1. 从 S3 下载目标 `sql.gz`
2. 校验 `.sha256`
3. 解压
4. 导入目标 MySQL
示例：
```bash
aws s3 cp s3://hifast-prod-backups-200810848252-ap-east-1/mysql/104-standby/20260513T120000Z_104-standby_hifast.sql.gz .
aws s3 cp s3://hifast-prod-backups-200810848252-ap-east-1/mysql/104-standby/20260513T120000Z_104-standby_hifast.sql.gz.sha256 .
sha256sum -c 20260513T120000Z_104-standby_hifast.sql.gz.sha256
gunzip -c 20260513T120000Z_104-standby_hifast.sql.gz | mysql -h <target-host> -u <user> -p
```
### 10.2 Redis
1. 从 S3 下载目标 `rdb.gz`
2. 校验 `.sha256`
3. 解压得到 `dump.rdb`
4. 在维护窗口内替换 Redis 数据文件后重启
## 11. 当前推荐落地顺序
1. 保持当前 `RDS automated backup` 不变
2. 在 `104` 安装 `aws cli`
3. 创建最小权限 S3 上传凭证并仅保存到 `104`
4. 先手工执行一轮 MySQL 备份上传
5. 验证 S3 对象、校验文件、恢复可读性
6. 再补 Redis RDB 备份
7. 最后加 cron 和 S3 Lifecycle
## 12. 104 上的交互式运维脚本
为了减少手工敲命令，仓库里现在统一使用一套交互式总入口。
### 12.1 统一入口
```bash
bash deploy/scripts/hifast_data_sync_tool.sh /root/replica-ops.env
```
菜单支持：
- 备份 MySQL 到 S3
- 备份 Redis 到 S3
- 导出 MySQL dump
- 导入 MySQL dump 到 AWS RDS
- 导出后直接导入
- 导出 Redis RDB
- 导入 Redis RDB 到 Docker / 宿主机 Redis
- 查看 MySQL / Redis 当前主从状态
- 强制重拉 MySQL 主从
- 强制重拉 Redis 主从
- 把 MySQL 从库提升为可写主库
- 把 Redis 从库提升为主库
prometheus/prometheus.yml
-40
View File
@@ -1,40 +0,0 @@
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: prometheus
static_configs:
- targets:
- prometheus:9090
- job_name: grafana
metrics_path: /metrics
static_configs:
- targets:
- grafana:3000
- job_name: node-exporter
static_configs:
- targets:
- node-exporter:9100
- job_name: cadvisor
static_configs:
- targets:
- cadvisor:8080
- job_name: nginx-exporter
static_configs:
- targets:
- nginx-exporter:9113
- job_name: loki
static_configs:
- targets:
- loki:3100
- job_name: tempo
static_configs:
- targets:
- tempo:3200
scripts/convert_recovery_orders/main.go
-229
View File
@@ -1,229 +0,0 @@
//go:build ignore
package main
import (
"encoding/json"
"flag"
"fmt"
"os"
"sort"
"strconv"
"strings"
"time"
)
type remoteOrder struct {
OrderNo string `json:"order_no"`
OutOrderNo string `json:"out_order_no"`
OrderMoney json.Number `json:"order_money"`
OrderStatus string `json:"order_status"`
PaymentTime *int64 `json:"payment_time"`
CreateTime int64 `json:"create_time"`
}
type recoveryFile struct {
Orders []recoveryOrder `json:"orders"`
}
type recoveryOrder struct {
OutOrderNo string `json:"out_order_no"`
OrderNo string `json:"order_no"`
OrderStatus string `json:"order_status"`
SubscribeId int64 `json:"subscribe_id"`
ExpireAt int64 `json:"expire_at"`
Quantity int64 `json:"quantity"`
PaidAt int64 `json:"paid_at,omitempty"`
Note string `json:"note,omitempty"`
PaymentOrderNo string `json:"payment_order_no,omitempty"`
OrderMoneyCents int64 `json:"order_money_cents,omitempty"`
}
type adminOrderResponse struct {
Code uint32 `json:"code"`
Msg string `json:"msg"`
Data struct {
Total int64 `json:"total"`
List []adminOrder `json:"list"`
} `json:"data"`
}
type adminOrder struct {
OrderNo string `json:"order_no"`
}
func main() {
var (
input string
output string
adminOrders string
subscribeID int64
onlyMissing bool
)
flag.StringVar(&input, "in", "aaa.json", "input payment platform orders JSON")
flag.StringVar(&output, "out", "internal/recovery/recovery_orders.json", "output recovery orders JSON")
flag.StringVar(&adminOrders, "admin-orders", "", "optional admin order list response JSON; when provided, matched out_order_no values are skipped")
flag.Int64Var(&subscribeID, "subscribe-id", 1, "subscribe id to use for recovered subscriptions")
flag.BoolVar(&onlyMissing, "only-missing", true, "only output payment success orders missing from admin order list when -admin-orders is set")
flag.Parse()
orders, err := readOrders(input)
must(err)
existingOrders := map[string]struct{}{}
if adminOrders != "" {
existingOrders, err = readAdminOrderSet(adminOrders)
must(err)
}
daysByAmount := map[int64]int64{
1953: 7,
4193: 30,
9093: 90,
31500: 365,
}
out := recoveryFile{Orders: make([]recoveryOrder, 0, len(orders))}
var skipped []string
var matchedExisting int
seen := make(map[string]struct{})
for _, item := range orders {
if strings.ToLower(strings.TrimSpace(item.OrderStatus)) != "success" {
continue
}
localOrderNo := strings.TrimSpace(item.OutOrderNo)
if localOrderNo == "" {
skipped = append(skipped, fmt.Sprintf("%s missing out_order_no", item.OrderNo))
continue
}
if _, ok := seen[localOrderNo]; ok {
skipped = append(skipped, fmt.Sprintf("%s duplicate out_order_no", localOrderNo))
continue
}
if _, exists := existingOrders[localOrderNo]; exists && onlyMissing {
matchedExisting++
seen[localOrderNo] = struct{}{}
continue
}
amount := decimalYuanToCents(item.OrderMoney)
days, ok := daysByAmount[amount]
if !ok {
skipped = append(skipped, fmt.Sprintf("%s unknown amount %s", localOrderNo, item.OrderMoney.String()))
continue
}
base := item.CreateTime
if item.PaymentTime != nil && *item.PaymentTime > 0 {
base = *item.PaymentTime
}
if base <= 0 {
skipped = append(skipped, fmt.Sprintf("%s missing payment/create time", localOrderNo))
continue
}
seen[localOrderNo] = struct{}{}
out.Orders = append(out.Orders, recoveryOrder{
OutOrderNo: localOrderNo,
OrderNo: strings.TrimSpace(item.OrderNo),
OrderStatus: "success",
SubscribeId: subscribeID,
ExpireAt: time.Unix(base, 0).Add(time.Duration(days) * 24 * time.Hour).UnixMilli(),
Quantity: days,
PaidAt: base,
Note: "data recovery",
PaymentOrderNo: strings.TrimSpace(item.OrderNo),
OrderMoneyCents: amount,
})
}
sort.Slice(out.Orders, func(i, j int) bool {
return out.Orders[i].OutOrderNo < out.Orders[j].OutOrderNo
})
must(writeJSON(output, out))
fmt.Printf("converted recovery orders=%d matched_existing=%d skipped=%d output=%s\n", len(out.Orders), matchedExisting, len(skipped), output)
for _, msg := range skipped {
fmt.Printf("skip: %s\n", msg)
}
}
func readAdminOrderSet(path string) (map[string]struct{}, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, err
}
var resp adminOrderResponse
if err := json.Unmarshal(data, &resp); err == nil && resp.Data.List != nil {
if resp.Code != 0 && resp.Code != 200 {
return nil, fmt.Errorf("admin order response failed: code=%d msg=%s", resp.Code, resp.Msg)
}
return adminOrdersToSet(resp.Data.List), nil
}
var list []adminOrder
if err := json.Unmarshal(data, &list); err != nil {
return nil, err
}
return adminOrdersToSet(list), nil
}
func adminOrdersToSet(list []adminOrder) map[string]struct{} {
set := make(map[string]struct{}, len(list))
for _, item := range list {
orderNo := strings.TrimSpace(item.OrderNo)
if orderNo != "" {
set[orderNo] = struct{}{}
}
}
return set
}
func readOrders(path string) ([]remoteOrder, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, err
}
var orders []remoteOrder
if err := json.Unmarshal(data, &orders); err != nil {
return nil, err
}
return orders, nil
}
func writeJSON(path string, data recoveryFile) error {
bytes, err := json.MarshalIndent(data, "", " ")
if err != nil {
return err
}
bytes = append(bytes, '\n')
return os.WriteFile(path, bytes, 0644)
}
func decimalYuanToCents(n json.Number) int64 {
s := strings.TrimSpace(n.String())
if s == "" {
return 0
}
parts := strings.SplitN(s, ".", 2)
yuan, _ := strconv.ParseInt(parts[0], 10, 64)
cents := yuan * 100
if len(parts) == 1 {
return cents
}
frac := parts[1]
if len(frac) > 2 {
frac = frac[:2]
}
for len(frac) < 2 {
frac += "0"
}
f, _ := strconv.ParseInt(frac, 10, 64)
if strings.HasPrefix(parts[0], "-") {
return cents - f
}
return cents + f
}
func must(err error) {
if err != nil {
fmt.Fprintln(os.Stderr, err)
os.Exit(1)
}
}
scripts/reconcile_mihapay_orders/main.go
-710
View File
@@ -1,710 +0,0 @@
//go:build ignore
package main
import (
"bytes"
"context"
"crypto/md5"
"encoding/hex"
"encoding/json"
"flag"
"fmt"
"io"
"net/http"
"net/url"
"os"
"sort"
"strconv"
"strings"
"time"
"github.com/hibiken/asynq"
"github.com/perfect-panel/server/internal/config"
"github.com/perfect-panel/server/internal/model/order"
"github.com/perfect-panel/server/internal/model/payment"
"github.com/perfect-panel/server/internal/model/subscribe"
"github.com/perfect-panel/server/internal/model/user"
"github.com/perfect-panel/server/pkg/conf"
"github.com/perfect-panel/server/pkg/orm"
"github.com/perfect-panel/server/pkg/tool"
queueTypes "github.com/perfect-panel/server/queue/types"
"github.com/redis/go-redis/v9"
"gorm.io/gorm"
)
const (
defaultBaseURL = "https://gfiuseui.lkfezg.cn"
// Hard-code Mihapay V2 credentials here when this reconciliation script should
// not depend on payment.config. Leave them empty to read pid/key/url from DB.
hardcodedMerchantID = "80567"
hardcodedMerchantKey = "475951745395f05a3be2ba7ca8235ba3"
hardcodedBaseURL = defaultBaseURL
)
type options struct {
configPath string
baseURL string
paymentID int64
method string
start string
end string
page int
limit int
maxPages int
apply bool
amountDiff int64
verbose bool
printNotFound bool
}
type merchantConfig struct {
merchantID string
key string
baseURL string
}
type orderListResponse struct {
Code int `json:"code"`
Msg string `json:"msg"`
Data struct {
List []remoteOrder `json:"list"`
Total int `json:"total"`
} `json:"data"`
}
type remoteOrder struct {
OrderNo string `json:"order_no"`
OutOrderNo string `json:"out_order_no"`
OrderMoney json.Number `json:"order_money"`
UserMoney json.Number `json:"user_money"`
OrderStatus string `json:"order_status"`
NotifyStatus string `json:"notify_status"`
CreateTime int64 `json:"create_time"`
PaymentTime int64 `json:"payment_time"`
NotifyTime int64 `json:"notify_time"`
ClientIP string `json:"client_ip"`
Device string `json:"device"`
OrderRemark string `json:"order_remark"`
}
type matchedOrder struct {
Remote remoteOrder
Local order.Order
RemoteCents int64
Audit subscriptionAudit
Action string
Reason string
PaymentAudit string
}
type subscriptionAudit struct {
Checked bool
Status string
UserSubID int64
UserID int64
StartTime time.Time
ExpireTime time.Time
ExpectedExpire time.Time
SubscribeUnit string
Quantity int64
Reason string
}
type reconcileStats struct {
RemotePages int
RemoteOrders int
RemotePaid int
RemoteMissingNo int
DuplicateRemote int
LocalNotFound int
LocalDateFiltered int
LocalMethodSkip int
Matched int
StatusCounts map[string]int
LocalNotFoundOrders []remoteOrder
}
func main() {
ctx := context.Background()
opt := parseFlags()
var cfg config.Config
conf.MustLoad(opt.configPath, &cfg)
db, err := orm.ConnectMysql(orm.Mysql{Config: cfg.MySQL})
must(err, "connect mysql")
sqlDB, err := db.DB()
must(err, "get sql db")
defer sqlDB.Close()
var redisClient *redis.Client
var queueClient *asynq.Client
if opt.apply {
redisClient = redis.NewClient(&redis.Options{
Addr: cfg.Redis.Host,
Password: cfg.Redis.Pass,
DB: cfg.Redis.DB,
})
defer redisClient.Close()
queueClient = asynq.NewClient(asynq.RedisClientOpt{
Addr: cfg.Redis.Host,
Password: cfg.Redis.Pass,
DB: 5,
})
defer queueClient.Close()
}
merchant, paymentInfo, err := resolveMerchantConfig(ctx, db, opt)
must(err, "resolve mihapay config")
if opt.paymentID > 0 {
opt.method = paymentInfo.Platform
}
baseURL := opt.baseURL
if baseURL == defaultBaseURL && merchant.baseURL != "" {
baseURL = merchant.baseURL
}
client := &http.Client{Timeout: 15 * time.Second}
matches, stats, err := reconcile(ctx, client, db, redisClient, queueClient, opt, baseURL, merchant, paymentInfo)
must(err, "reconcile orders")
printSummary(matches, stats, opt)
}
func parseFlags() options {
opt := options{}
flag.StringVar(&opt.configPath, "config", "etc/ppanel.yaml", "ppanel config path")
flag.StringVar(&opt.baseURL, "base-url", defaultBaseURL, "Mihapay base URL")
flag.Int64Var(&opt.paymentID, "payment-id", 0, "payment table id to use for merchant credentials")
flag.StringVar(&opt.method, "method", "epay", "local order method/platform to match when payment-id is not set")
flag.StringVar(&opt.start, "start", "", "local order created_at start, e.g. 2026-05-05 00:00:00")
flag.StringVar(&opt.end, "end", "", "local order created_at end, e.g. 2026-05-06 00:00:00")
flag.IntVar(&opt.page, "page", 1, "remote start page")
flag.IntVar(&opt.limit, "limit", 100, "remote page size")
flag.IntVar(&opt.maxPages, "max-pages", 50, "maximum remote pages to fetch")
flag.BoolVar(&opt.apply, "apply", false, "apply fixes; default is dry-run")
flag.Int64Var(&opt.amountDiff, "amount-diff-cents", 1, "allowed amount difference in cents")
flag.BoolVar(&opt.verbose, "v", false, "print diagnostic details")
flag.BoolVar(&opt.printNotFound, "print-not-found", false, "print remote paid orders that have no matching local order")
flag.Parse()
if opt.start == "" {
now := time.Now()
opt.start = time.Date(now.Year(), now.Month(), now.Day(), 0, 0, 0, 0, now.Location()).Format("2006-01-02 15:04:05")
}
if opt.end == "" {
start, err := time.ParseInLocation("2006-01-02 15:04:05", opt.start, time.Local)
if err == nil {
opt.end = start.AddDate(0, 0, 1).Format("2006-01-02 15:04:05")
}
}
opt.baseURL = strings.TrimRight(opt.baseURL, "/")
if opt.page <= 0 {
opt.page = 1
}
if opt.limit <= 0 || opt.limit > 500 {
opt.limit = 100
}
if opt.maxPages <= 0 {
opt.maxPages = 1
}
return opt
}
func resolveMerchantConfig(ctx context.Context, db *gorm.DB, opt options) (merchantConfig, *payment.Payment, error) {
if hardcodedMerchantID != "" && hardcodedMerchantKey != "" {
return merchantConfig{
merchantID: hardcodedMerchantID,
key: hardcodedMerchantKey,
baseURL: strings.TrimRight(hardcodedBaseURL, "/"),
}, nil, nil
}
var p payment.Payment
query := db.WithContext(ctx).Model(&payment.Payment{})
if opt.paymentID > 0 {
query = query.Where("id = ?", opt.paymentID)
} else {
query = query.Where("LOWER(REPLACE(platform, '_', '')) = LOWER(REPLACE(?, '_', ''))", opt.method)
}
if err := query.First(&p).Error; err != nil {
return merchantConfig{}, nil, err
}
var epayCfg payment.EPayConfig
if err := epayCfg.Unmarshal([]byte(p.Config)); err != nil {
return merchantConfig{}, nil, err
}
if epayCfg.Pid == "" || epayCfg.Key == "" {
return merchantConfig{}, nil, fmt.Errorf("payment id %d has empty pid/key", p.Id)
}
return merchantConfig{merchantID: epayCfg.Pid, key: epayCfg.Key, baseURL: strings.TrimRight(epayCfg.Url, "/")}, &p, nil
}
func reconcile(
ctx context.Context,
client *http.Client,
db *gorm.DB,
redisClient *redis.Client,
queueClient *asynq.Client,
opt options,
baseURL string,
merchant merchantConfig,
paymentInfo *payment.Payment,
) ([]matchedOrder, reconcileStats, error) {
var matches []matchedOrder
var stats reconcileStats
stats.StatusCounts = make(map[string]int)
seen := make(map[string]struct{})
page := opt.page
for fetchedPages := 0; fetchedPages < opt.maxPages; fetchedPages++ {
resp, err := fetchRemoteOrders(ctx, client, baseURL, merchant, page, opt.limit)
if err != nil {
return matches, stats, err
}
if resp.Code != 1 {
return matches, stats, fmt.Errorf("remote orderlist failed: code=%d msg=%s", resp.Code, resp.Msg)
}
stats.RemotePages++
stats.RemoteOrders += len(resp.Data.List)
if opt.verbose {
fmt.Printf("remote page=%d list=%d total=%d\n", page, len(resp.Data.List), resp.Data.Total)
}
if len(resp.Data.List) == 0 {
break
}
for _, remote := range resp.Data.List {
status := strings.TrimSpace(remote.OrderStatus)
if status == "" {
status = "<empty>"
}
stats.StatusCounts[status]++
if !isRemotePaidStatus(remote.OrderStatus) {
continue
}
stats.RemotePaid++
if remote.OutOrderNo == "" {
stats.RemoteMissingNo++
continue
}
if _, ok := seen[remote.OutOrderNo]; ok {
stats.DuplicateRemote++
continue
}
seen[remote.OutOrderNo] = struct{}{}
item, ok := matchRemoteOrder(ctx, db, opt, &stats, remote)
if !ok {
continue
}
stats.Matched++
matches = append(matches, item)
if opt.apply && (item.Action == "补单" || item.Action == "重投队列") {
if err := applyOrderFix(ctx, db, redisClient, queueClient, paymentInfo, item); err != nil {
return matches, stats, err
}
}
}
page++
if resp.Data.Total > 0 && page*opt.limit >= resp.Data.Total+opt.limit {
break
}
}
return matches, stats, nil
}
func isRemotePaidStatus(status string) bool {
switch strings.ToLower(strings.TrimSpace(status)) {
case "paid", "success", "succeeded", "trade_success", "completed", "complete", "1":
return true
default:
return false
}
}
func fetchRemoteOrders(ctx context.Context, client *http.Client, baseURL string, merchant merchantConfig, page, limit int) (*orderListResponse, error) {
params := map[string]string{
"merchantId": merchant.merchantID,
"page": strconv.Itoa(page),
"limit": strconv.Itoa(limit),
"order": "create_time desc",
}
params["sign"] = sign(params, merchant.key)
form := url.Values{}
for k, v := range params {
form.Set(k, v)
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, baseURL+"/api/v2/orderlist", strings.NewReader(form.Encode()))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/x-www-form-urlencoded")
resp, err := client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, err
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return nil, fmt.Errorf("remote status %d: %s", resp.StatusCode, string(body))
}
decoder := json.NewDecoder(bytes.NewReader(body))
decoder.UseNumber()
var out orderListResponse
if err := decoder.Decode(&out); err != nil {
return nil, fmt.Errorf("decode remote response: %w body=%s", err, string(body))
}
return &out, nil
}
func matchRemoteOrder(ctx context.Context, db *gorm.DB, opt options, stats *reconcileStats, remote remoteOrder) (matchedOrder, bool) {
var local order.Order
if err := db.WithContext(ctx).Model(&order.Order{}).Where("order_no = ?", remote.OutOrderNo).First(&local).Error; err != nil {
stats.LocalNotFound++
stats.LocalNotFoundOrders = append(stats.LocalNotFoundOrders, remote)
if opt.verbose {
fmt.Printf("skip local_not_found out_order_no=%s remote_no=%s status=%s money=%s\n", remote.OutOrderNo, remote.OrderNo, remote.OrderStatus, remote.OrderMoney)
}
return matchedOrder{}, false
}
if opt.method != "" && local.Method != opt.method {
stats.LocalMethodSkip++
if opt.verbose {
fmt.Printf("skip method out_order_no=%s local_method=%s want=%s\n", remote.OutOrderNo, local.Method, opt.method)
}
return matchedOrder{}, false
}
if opt.start != "" && local.CreatedAt.Format("2006-01-02 15:04:05") < opt.start {
stats.LocalDateFiltered++
return matchedOrder{}, false
}
if opt.end != "" && local.CreatedAt.Format("2006-01-02 15:04:05") >= opt.end {
stats.LocalDateFiltered++
return matchedOrder{}, false
}
remoteCents := decimalYuanToCents(remote.OrderMoney)
item := matchedOrder{
Remote: remote,
Local: local,
RemoteCents: remoteCents,
PaymentAudit: "远端已支付",
}
item.Audit = auditSubscription(ctx, db, local)
switch {
case local.Status == 5:
item.Action = "跳过"
item.Reason = "本地已完成"
case remoteCents > 0 && abs64(local.Amount-remoteCents) > opt.amountDiff:
item.Action = "跳过"
item.Reason = fmt.Sprintf("金额不匹配 本地=%d 远端=%d", local.Amount, remoteCents)
case local.Status == 2:
item.Action = "重投队列"
item.Reason = "本地已支付但未完成"
case local.Status != 1 && local.Status != 3:
item.Action = "跳过"
item.Reason = fmt.Sprintf("本地状态 %d 不适合自动补单", local.Status)
default:
item.Action = "补单"
item.Reason = "远端已支付，本地未支付/已关闭"
}
return item, true
}
func auditSubscription(ctx context.Context, db *gorm.DB, local order.Order) subscriptionAudit {
audit := subscriptionAudit{
Checked: true,
Quantity: local.Quantity,
}
if local.Type != 1 && local.Type != 2 {
audit.Status = "跳过"
audit.Reason = fmt.Sprintf("订单类型 %d 不核对订阅时间", local.Type)
return audit
}
var plan subscribe.Subscribe
if err := db.WithContext(ctx).Model(&subscribe.Subscribe{}).Where("id = ?", local.SubscribeId).First(&plan).Error; err != nil {
audit.Status = "异常"
audit.Reason = "套餐不存在: " + err.Error()
return audit
}
audit.SubscribeUnit = plan.UnitTime
var userSub user.Subscribe
err := db.WithContext(ctx).Model(&user.Subscribe{}).Where("order_id = ?", local.Id).Order("id DESC").First(&userSub).Error
if err == nil {
audit.UserSubID = userSub.Id
audit.UserID = userSub.UserId
audit.StartTime = userSub.StartTime
audit.ExpireTime = userSub.ExpireTime
audit.ExpectedExpire = userSub.ExpireTime
audit.Status = "已核对"
audit.Reason = "订阅已绑定当前订单"
return audit
}
if local.Type == 2 && local.SubscribeToken != "" {
err = db.WithContext(ctx).Model(&user.Subscribe{}).Where("token = ?", local.SubscribeToken).First(&userSub).Error
if err == nil {
base := subscriptionRenewalBaseTime(time.Now(), userSub.ExpireTime, userSub.FinishedAt)
audit.UserSubID = userSub.Id
audit.UserID = userSub.UserId
audit.StartTime = userSub.StartTime
audit.ExpireTime = userSub.ExpireTime
audit.ExpectedExpire = tool.AddTime(plan.UnitTime, local.Quantity, base)
if local.Status == 5 {
audit.Status = "异常"
audit.Reason = "订单已完成但订阅 order_id 未指向该订单"
} else {
audit.Status = "待激活"
audit.Reason = "续费订单未完成，预计激活后续期"
}
return audit
}
}
if local.Status == 5 {
audit.Status = "异常"
audit.Reason = "订单已完成但未找到对应订阅"
return audit
}
audit.Status = "待激活"
audit.ExpectedExpire = tool.AddTime(plan.UnitTime, local.Quantity, time.Now())
audit.Reason = "订单未完成，订阅时间需激活队列生成"
return audit
}
func subscriptionRenewalBaseTime(now time.Time, expire time.Time, finishedAt *time.Time) time.Time {
base := expire
if finishedAt != nil && finishedAt.After(base) {
base = *finishedAt
}
if base.Before(now) {
base = now
}
return base
}
func applyOrderFix(
ctx context.Context,
db *gorm.DB,
redisClient *redis.Client,
queueClient *asynq.Client,
paymentInfo *payment.Payment,
item matchedOrder,
) error {
return db.WithContext(ctx).Transaction(func(tx *gorm.DB) error {
updates := map[string]interface{}{
"status": 2,
"trade_no": item.Remote.OrderNo,
"updated_at": time.Now(),
}
if paymentInfo != nil {
updates["payment_id"] = paymentInfo.Id
updates["method"] = paymentInfo.Platform
}
result := tx.Model(&order.Order{}).
Where("order_no = ? AND status IN ?", item.Local.OrderNo, []uint8{1, 2, 3}).
Updates(updates)
if result.Error != nil {
return result.Error
}
if result.RowsAffected == 0 {
return fmt.Errorf("order %s was not updated; status changed concurrently", item.Local.OrderNo)
}
clearOrderCache(ctx, redisClient, item.Local)
return enqueueActivation(ctx, queueClient, item.Local.OrderNo)
})
}
func enqueueActivation(ctx context.Context, queueClient *asynq.Client, orderNo string) error {
payload, err := json.Marshal(queueTypes.ForthwithActivateOrderPayload{OrderNo: orderNo})
if err != nil {
return err
}
_, err = queueClient.EnqueueContext(ctx, asynq.NewTask(queueTypes.ForthwithActivateOrder, payload, asynq.MaxRetry(5)))
return err
}
func clearOrderCache(ctx context.Context, redisClient *redis.Client, local order.Order) {
keys := []string{
fmt.Sprintf("cache:order:id:%d", local.Id),
fmt.Sprintf("cache:order:no:%s", local.OrderNo),
}
_ = redisClient.Del(ctx, keys...).Err()
}
func sign(params map[string]string, key string) string {
keys := make([]string, 0, len(params))
for k, v := range params {
if k != "sign" && k != "sign_type" && v != "" {
keys = append(keys, k)
}
}
sort.Strings(keys)
parts := make([]string, 0, len(keys))
for _, k := range keys {
parts = append(parts, k+"="+params[k])
}
sum := md5.Sum([]byte(strings.Join(parts, "&") + key))
return hex.EncodeToString(sum[:])
}
func decimalYuanToCents(n json.Number) int64 {
s := strings.TrimSpace(n.String())
if s == "" {
return 0
}
parts := strings.SplitN(s, ".", 2)
yuan, _ := strconv.ParseInt(parts[0], 10, 64)
cents := yuan * 100
if len(parts) == 1 {
return cents
}
frac := parts[1]
if len(frac) > 2 {
frac = frac[:2]
}
for len(frac) < 2 {
frac += "0"
}
f, _ := strconv.ParseInt(frac, 10, 64)
if strings.HasPrefix(parts[0], "-") {
return cents - f
}
return cents + f
}
func printSummary(matches []matchedOrder, stats reconcileStats, opt options) {
var fix, requeue, skip int
for _, item := range matches {
switch item.Action {
case "补单":
fix++
case "重投队列":
requeue++
default:
skip++
}
fmt.Printf("%s order_no=%s remote_no=%s local_status=%d amount=%d remote_amount=%d reason=%s\n",
item.Action,
item.Local.OrderNo,
item.Remote.OrderNo,
item.Local.Status,
item.Local.Amount,
item.RemoteCents,
item.Reason,
)
if item.Audit.Checked {
fmt.Printf(" payment=%s subscription=%s sub_id=%d user_id=%d expire=%s expected=%s note=%s\n",
item.PaymentAudit,
item.Audit.Status,
item.Audit.UserSubID,
item.Audit.UserID,
formatTime(item.Audit.ExpireTime),
formatTime(item.Audit.ExpectedExpire),
item.Audit.Reason,
)
}
}
mode := "DRY-RUN"
if opt.apply {
mode = "APPLIED"
}
fmt.Printf("\nremote pages=%d orders=%d paid=%d missing_out_order_no=%d duplicates=%d\n",
stats.RemotePages, stats.RemoteOrders, stats.RemotePaid, stats.RemoteMissingNo, stats.DuplicateRemote)
if len(stats.StatusCounts) > 0 {
keys := make([]string, 0, len(stats.StatusCounts))
for key := range stats.StatusCounts {
keys = append(keys, key)
}
sort.Strings(keys)
fmt.Print("remote status_counts=")
for i, key := range keys {
if i > 0 {
fmt.Print(", ")
}
fmt.Printf("%s:%d", key, stats.StatusCounts[key])
}
fmt.Println()
}
fmt.Printf("local not_found=%d method_skipped=%d date_filtered=%d matched=%d\n",
stats.LocalNotFound, stats.LocalMethodSkip, stats.LocalDateFiltered, stats.Matched)
if opt.printNotFound && len(stats.LocalNotFoundOrders) > 0 {
printNotFoundOrders(stats.LocalNotFoundOrders)
}
fmt.Printf("\n%s summary: matched=%d fixable=%d requeue=%d skipped=%d\n", mode, len(matches), fix, requeue, skip)
}
func printNotFoundOrders(items []remoteOrder) {
fmt.Println("\nlocal_not_found orders:")
fmt.Println("out_order_no\tremote_no\tstatus\torder_money\tuser_money\tcreate_time\tpayment_time\tclient_ip\tdevice\tremark")
for _, item := range items {
fmt.Printf("%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n",
item.OutOrderNo,
item.OrderNo,
item.OrderStatus,
item.OrderMoney.String(),
item.UserMoney.String(),
formatUnixTime(item.CreateTime),
formatUnixTime(item.PaymentTime),
oneLine(item.ClientIP),
oneLine(item.Device),
oneLine(item.OrderRemark),
)
}
}
func formatTime(t time.Time) string {
if t.IsZero() {
return "-"
}
return t.Format("2006-01-02 15:04:05")
}
func formatUnixTime(v int64) string {
if v <= 0 {
return "-"
}
if v > 1_000_000_000_000 {
return time.UnixMilli(v).Format("2006-01-02 15:04:05")
}
return time.Unix(v, 0).Format("2006-01-02 15:04:05")
}
func oneLine(s string) string {
s = strings.ReplaceAll(s, "\t", " ")
s = strings.ReplaceAll(s, "\r", " ")
s = strings.ReplaceAll(s, "\n", " ")
return strings.TrimSpace(s)
}
func abs64(v int64) int64 {
if v < 0 {
return -v
}
return v
}
func must(err error, step string) {
if err == nil {
return
}
fmt.Fprintf(os.Stderr, "%s: %v\n", step, err)
os.Exit(1)
}
tempo/tempo-config.yaml
-37
View File
@@ -1,37 +0,0 @@
server:
http_listen_port: 3200
grpc_listen_port: 9095
distributor:
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
ingester:
max_block_duration: 5m
compactor:
compaction:
block_retention: 168h
storage:
trace:
backend: local
wal:
path: /var/tempo/wal
local:
path: /var/tempo/blocks
metrics_generator:
registry:
external_labels:
source: tempo
cluster: ppanel
storage:
path: /var/tempo/generator/wal
remote_write:
- url: http://prometheus:9090/api/v1/write