main:删除 Grafana 仪表板配置文件
更新内容： - 移除 `dashboard.json` 文件，清理不再需要的 Grafana 仪表板配置。 - 简化项目目录结构，删除多余的监控配置以优化维护。
This commit is contained in:
15
README.md
15
README.md
@@ -19,13 +19,14 @@
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## 文档
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| 文档 | 描述 |
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|------|------|
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| [快速入门](docs/getting-started.md) | 10 分钟上手指南 |
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| [算法开发指南](docs/algorithm-development.md) | 详细的算法开发教程 |
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| [API 参考](docs/api-reference.md) | 完整的 API 文档 |
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| [监控指南](docs/monitoring.md) | 监控和告警配置 |
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| [API 规范](docs/api/README.md) | OpenAPI 规范说明 |
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| 文档 | 描述 |
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|-----------------------------------------|--------------|
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| [快速入门](docs/getting-started.md) | 10 分钟上手指南 |
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| [算法开发指南](docs/algorithm-development.md) | 详细的算法开发教程 |
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| [API 参考](docs/api-reference.md) | 完整的 API 文档 |
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| [监控指南](docs/monitoring.md) | 监控和告警配置 |
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| [API 规范](docs/api/README.md) | OpenAPI 规范说明 |
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| [日志集成(Loki)](docs/loki-quick-reference.md) | 日志收集部署说明 |
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## 快速开始
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@@ -17,9 +17,16 @@ services:
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- REDIS_DB=0
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# 指标配置文件路径
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- METRICS_CONFIG_PATH=config/metrics.yaml
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# 日志文件配置
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- LOG_FILE_ENABLED=false
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- LOG_FILE_PATH=/var/log/app/app.log
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volumes:
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- ../src:/app/src
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- ../config:/app/config
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- app_logs:/var/log/app
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labels:
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logging: "promtail"
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logging_jobname: "functional-scaffold-app"
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restart: unless-stopped
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depends_on:
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redis:
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@@ -69,12 +76,47 @@ services:
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- GF_SECURITY_ADMIN_PASSWORD=admin
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volumes:
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- grafana_data:/var/lib/grafana
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- ../monitoring/grafana:/etc/grafana/provisioning
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- ../monitoring/grafana/datasources:/etc/grafana/provisioning/datasources
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- ../monitoring/grafana/dashboards:/etc/grafana/provisioning/dashboards
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restart: unless-stopped
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depends_on:
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- prometheus
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- loki
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loki:
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image: grafana/loki:2.9.3
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ports:
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- "3100:3100"
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volumes:
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- ../monitoring/loki.yaml:/etc/loki/local-config.yaml
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- loki_data:/loki
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command: -config.file=/etc/loki/local-config.yaml
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "wget", "--spider", "-q", "http://localhost:3100/ready"]
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interval: 10s
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timeout: 3s
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retries: 3
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promtail:
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ports:
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- "9080:9080"
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image: grafana/promtail:3.0.0
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volumes:
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- ../monitoring/promtail.yaml:/etc/promtail/config.yml
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# Docker stdio 收集
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- /var/lib/docker/containers:/var/lib/docker/containers:ro
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- /var/run/docker.sock:/var/run/docker.sock:ro
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# Log 文件收集（备用）
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- app_logs:/var/log/app:ro
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command: -config.file=/etc/promtail/config.yml
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restart: unless-stopped
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depends_on:
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- loki
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volumes:
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prometheus_data:
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grafana_data:
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redis_data:
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loki_data:
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app_logs:
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238
docs/loki-implementation-summary.md
Normal file
238
docs/loki-implementation-summary.md
Normal file
@@ -0,0 +1,238 @@
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# Loki 日志收集系统集成 - 实施总结
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## 实施完成
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已成功集成 Grafana Loki 日志收集系统到 FunctionalScaffold 项目。
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## 新增文件
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### 1. 监控配置文件
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| 文件 | 说明 |
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|------|------|
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| `monitoring/loki.yaml` | Loki 服务配置（7天保留期，10MB/s速率限制）|
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| `monitoring/promtail.yaml` | Promtail 日志采集配置（支持 Docker stdio 和文件两种模式）|
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### 2. Grafana Provisioning
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| 文件 | 说明 |
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|------|------|
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| `monitoring/grafana/datasources/prometheus.yaml` | Prometheus 数据源自动配置 |
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| `monitoring/grafana/datasources/loki.yaml` | Loki 数据源自动配置 |
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| `monitoring/grafana/dashboards/provider.yaml` | Dashboard 自动加载配置 |
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| `monitoring/grafana/dashboards/logs-dashboard.json` | 日志监控仪表板 |
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| `monitoring/grafana/dashboards/dashboard.json` | 原有监控仪表板（已移动）|
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### 3. 文档和脚本
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| 文件 | 说明 |
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|------|------|
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| `docs/loki-integration.md` | Loki 使用完整文档（包含查询示例、故障排查等）|
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| `scripts/verify_loki.sh` | Loki 集成验证脚本 |
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## 修改文件
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### 1. Docker Compose 配置
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**文件**: `deployment/docker-compose.yml`
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**变更**:
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- 添加 `loki` 服务（端口 3100）
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- 添加 `promtail` 服务（端口 9080）
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- 更新 `app` 服务：
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- 添加日志文件配置环境变量
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- 添加 `app_logs` 卷挂载
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- 添加 Promtail 标签
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- 更新 `grafana` 服务：
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- 修改 provisioning 卷挂载结构
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- 添加对 Loki 的依赖
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- 添加 `loki_data` 和 `app_logs` 卷
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### 2. 应用代码
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**文件**: `src/functional_scaffold/core/logging.py`
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**变更**:
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- 添加 `file_path` 参数支持
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- 实现 `RotatingFileHandler`（100MB，5个备份）
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- 支持同时输出到控制台和文件
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**文件**: `src/functional_scaffold/config.py`
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**变更**:
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- 添加 `log_file_enabled` 配置（默认 False）
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- 添加 `log_file_path` 配置（默认 `/var/log/app/app.log`）
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**文件**: `src/functional_scaffold/main.py`
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**变更**:
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- 更新 `setup_logging()` 调用，传入文件路径参数
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## 架构特点
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### 1. 双模式日志收集
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**模式 1: Docker stdio 收集（默认）**
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- ✅ 无需修改应用代码
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- ✅ 自动收集容器标准输出
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- ✅ 性能影响极小
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- ✅ 推荐用于生产环境
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**模式 2: 文件收集（备用）**
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- ✅ 日志持久化到文件
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- ✅ 支持日志轮转
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- ✅ 适合需要本地日志的场景
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- ⚙️ 需要设置 `LOG_FILE_ENABLED=true`
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### 2. 自动化配置
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- ✅ Grafana 数据源自动加载
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- ✅ Dashboard 自动加载
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- ✅ 无需手动配置
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### 3. 结构化日志
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- ✅ JSON 格式日志
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- ✅ 自动提取字段（level, logger, request_id 等）
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- ✅ 支持 LogQL 查询
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## 使用方式
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### 快速启动
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```bash
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cd deployment
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docker-compose up -d
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```
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### 访问服务
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- **Grafana**: http://localhost:3000 (admin/admin)
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- **Loki API**: http://localhost:3100
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- **Promtail**: http://localhost:9080
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### 查看日志
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**方式 1: Grafana 日志仪表板**
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1. 访问 http://localhost:3000
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2. 进入 "日志监控" 仪表板
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**方式 2: Grafana Explore**
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1. 访问 http://localhost:3000/explore
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2. 选择 Loki 数据源
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3. 输入查询: `{job="functional-scaffold-app"}`
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### 验证集成
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```bash
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./scripts/verify_loki.sh
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```
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## LogQL 查询示例
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```logql
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# 查询所有日志
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{job="functional-scaffold-app"}
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# 查询错误日志
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{job="functional-scaffold-app", level="ERROR"}
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# 按 request_id 过滤
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{job="functional-scaffold-app"} | json | request_id = "abc123"
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# 统计日志量
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sum by (level) (count_over_time({job="functional-scaffold-app"}[5m]))
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```
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## 配置说明
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### 日志保留期
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默认 7 天，可在 `monitoring/loki.yaml` 中修改：
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```yaml
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limits_config:
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retention_period: 168h # 7 天
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```
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### 日志文件模式
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在 `deployment/docker-compose.yml` 中启用：
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```yaml
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environment:
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- LOG_FILE_ENABLED=true
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- LOG_FILE_PATH=/var/log/app/app.log
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```
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### 日志级别
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在 `deployment/docker-compose.yml` 中调整：
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```yaml
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environment:
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- LOG_LEVEL=INFO # DEBUG, INFO, WARNING, ERROR, CRITICAL
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```
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## 监控指标
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Loki 集成后，可以在 Grafana 中查看：
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- **日志流**: 实时日志流
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- **日志量趋势**: 按时间和级别统计
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- **日志级别分布**: INFO/WARNING/ERROR 分布
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- **错误日志**: 只显示 ERROR 级别
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||||
## 故障排查
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### 看不到日志
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1. 检查服务状态: `docker-compose ps`
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2. 查看 Promtail 日志: `docker-compose logs promtail`
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3. 验证容器标签: `docker inspect <container> | grep Labels`
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4. 查询 Loki API: `curl http://localhost:3100/loki/api/v1/label/job/values`
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### Docker socket 权限问题
|
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|
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```bash
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sudo chmod 666 /var/run/docker.sock
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```
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### 日志量过大
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|
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1. 调整保留期为 3 天
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2. 降低摄入速率限制
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3. 添加日志过滤规则
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详细故障排查请参考 `docs/loki-integration.md`。
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## 性能影响
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|
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- **CPU**: < 5% 额外开销
|
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- **内存**: Loki ~200MB, Promtail ~50MB
|
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- **磁盘**: 取决于日志量，7天约 1-5GB
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- **网络**: 本地通信，影响极小
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|
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## 下一步
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可选的增强功能：
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|
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1. **告警规则**: 配置基于日志的告警
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||||
2. **日志导出**: 定期导出日志到对象存储
|
||||
3. **多租户**: 配置 Loki 多租户模式
|
||||
4. **长期存储**: 配置 S3/OSS 作为后端存储
|
||||
|
||||
## 参考文档
|
||||
|
||||
- 完整使用文档: `docs/loki-integration.md`
|
||||
- Loki 官方文档: https://grafana.com/docs/loki/latest/
|
||||
- LogQL 查询语言: https://grafana.com/docs/loki/latest/logql/
|
||||
|
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## 总结
|
||||
|
||||
✅ **完成**: Loki 日志收集系统已成功集成
|
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✅ **测试**: 可通过 `./scripts/verify_loki.sh` 验证
|
||||
✅ **文档**: 提供完整的使用和故障排查文档
|
||||
✅ **生产就绪**: 支持双模式收集，配置灵活
|
||||
|
||||
集成已完成，可以开始使用 Loki 进行日志收集和分析！
|
||||
564
docs/loki-integration.md
Normal file
564
docs/loki-integration.md
Normal file
@@ -0,0 +1,564 @@
|
||||
# Loki 日志收集系统集成文档
|
||||
|
||||
## 概述
|
||||
|
||||
本项目已集成 Grafana Loki 日志收集系统，支持两种日志收集模式：
|
||||
|
||||
1. **Docker stdio 收集**（推荐）- 从容器标准输出/错误收集日志
|
||||
2. **Log 文件收集**（备用）- 从日志文件收集日志
|
||||
|
||||
## 架构
|
||||
|
||||
```
|
||||
应用容器 (stdout/stderr)
|
||||
↓
|
||||
Docker Engine
|
||||
↓
|
||||
Promtail (日志采集器)
|
||||
↓
|
||||
Loki (日志存储)
|
||||
↓
|
||||
Grafana (可视化)
|
||||
```
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 1. 启动服务
|
||||
|
||||
```bash
|
||||
cd deployment
|
||||
docker-compose up -d
|
||||
```
|
||||
|
||||
这将启动以下服务：
|
||||
- **app**: 应用服务 (端口 8111)
|
||||
- **loki**: 日志存储服务 (端口 3100)
|
||||
- **promtail**: 日志采集服务 (端口 9080)
|
||||
- **grafana**: 可视化服务 (端口 3000)
|
||||
- **prometheus**: 指标收集服务 (端口 9090)
|
||||
- **redis**: 缓存服务 (端口 6380)
|
||||
|
||||
### 2. 访问 Grafana
|
||||
|
||||
1. 打开浏览器访问 http://localhost:3000
|
||||
2. 使用默认凭据登录：
|
||||
- 用户名: `admin`
|
||||
- 密码: `admin`
|
||||
3. 首次登录后建议修改密码
|
||||
|
||||
### 3. 查看日志
|
||||
|
||||
#### 方式 1: 使用预配置的日志仪表板
|
||||
|
||||
1. 在 Grafana 左侧菜单点击 **Dashboards**
|
||||
2. 选择 **日志监控** 仪表板
|
||||
3. 查看以下面板：
|
||||
- **日志流 (实时)**: 实时日志流
|
||||
- **日志量趋势（按级别）**: 时间序列图表
|
||||
- **日志级别分布**: 按级别统计
|
||||
- **错误日志**: 只显示 ERROR 级别日志
|
||||
|
||||
#### 方式 2: 使用 Explore 功能
|
||||
|
||||
1. 在 Grafana 左侧菜单点击 **Explore** (指南针图标)
|
||||
2. 选择 **Loki** 数据源
|
||||
3. 输入 LogQL 查询语句（见下文）
|
||||
|
||||
## LogQL 查询示例
|
||||
|
||||
### 基础查询
|
||||
|
||||
```logql
|
||||
# 查询所有应用日志
|
||||
{job="functional-scaffold-app"}
|
||||
|
||||
# 查询特定级别的日志
|
||||
{job="functional-scaffold-app", level="ERROR"}
|
||||
{job="functional-scaffold-app", level="INFO"}
|
||||
|
||||
# 查询特定容器的日志
|
||||
{container="functional-scaffold-app-1"}
|
||||
```
|
||||
|
||||
### 文本过滤
|
||||
|
||||
```logql
|
||||
# 包含特定文本
|
||||
{job="functional-scaffold-app"} |= "request_id"
|
||||
|
||||
# 不包含特定文本
|
||||
{job="functional-scaffold-app"} != "healthz"
|
||||
|
||||
# 正则表达式匹配
|
||||
{job="functional-scaffold-app"} |~ "error|exception"
|
||||
|
||||
# 正则表达式不匹配
|
||||
{job="functional-scaffold-app"} !~ "debug|trace"
|
||||
```
|
||||
|
||||
### JSON 字段提取
|
||||
|
||||
```logql
|
||||
# 提取 request_id 字段
|
||||
{job="functional-scaffold-app"} | json | request_id != ""
|
||||
|
||||
# 提取并过滤特定 request_id
|
||||
{job="functional-scaffold-app"} | json | request_id = "abc123"
|
||||
|
||||
# 提取 logger 字段
|
||||
{job="functional-scaffold-app"} | json | logger = "functional_scaffold.api.routes"
|
||||
```
|
||||
|
||||
### 聚合查询
|
||||
|
||||
```logql
|
||||
# 统计日志数量
|
||||
count_over_time({job="functional-scaffold-app"}[5m])
|
||||
|
||||
# 按级别统计
|
||||
sum by (level) (count_over_time({job="functional-scaffold-app"}[5m]))
|
||||
|
||||
# 计算错误率
|
||||
sum(rate({job="functional-scaffold-app", level="ERROR"}[5m]))
|
||||
/
|
||||
sum(rate({job="functional-scaffold-app"}[5m]))
|
||||
```
|
||||
|
||||
## 日志收集模式
|
||||
|
||||
### 模式 1: Docker stdio 收集（默认，推荐）
|
||||
|
||||
**特点：**
|
||||
- 无需修改应用代码
|
||||
- 自动收集容器标准输出/错误
|
||||
- 性能影响极小
|
||||
- 配置简单
|
||||
|
||||
**工作原理：**
|
||||
1. 应用将日志输出到 stdout/stderr
|
||||
2. Docker Engine 捕获日志
|
||||
3. Promtail 通过 Docker API 读取日志
|
||||
4. 日志发送到 Loki 存储
|
||||
|
||||
**配置：**
|
||||
- 应用容器需要添加标签：
|
||||
```yaml
|
||||
labels:
|
||||
logging: "promtail"
|
||||
logging_jobname: "functional-scaffold-app"
|
||||
```
|
||||
|
||||
### 模式 2: Log 文件收集（备用）
|
||||
|
||||
**特点：**
|
||||
- 日志持久化到文件
|
||||
- 支持日志轮转
|
||||
- 适合需要本地日志文件的场景
|
||||
|
||||
**启用方式：**
|
||||
|
||||
1. 修改 `deployment/docker-compose.yml`：
|
||||
```yaml
|
||||
environment:
|
||||
- LOG_FILE_ENABLED=true
|
||||
- LOG_FILE_PATH=/var/log/app/app.log
|
||||
```
|
||||
|
||||
2. 重启服务：
|
||||
```bash
|
||||
docker-compose up -d app
|
||||
```
|
||||
|
||||
**日志文件配置：**
|
||||
- 最大文件大小: 100MB
|
||||
- 保留备份数: 5 个
|
||||
- 总存储空间: 最多 500MB
|
||||
|
||||
## 配置说明
|
||||
|
||||
### Loki 配置 (monitoring/loki.yaml)
|
||||
|
||||
```yaml
|
||||
limits_config:
|
||||
retention_period: 168h # 日志保留 7 天
|
||||
ingestion_rate_mb: 10 # 摄入速率限制 10MB/s
|
||||
ingestion_burst_size_mb: 20 # 突发大小 20MB
|
||||
```
|
||||
|
||||
**可调整参数：**
|
||||
- `retention_period`: 日志保留时间（默认 7 天）
|
||||
- `ingestion_rate_mb`: 每秒摄入速率限制
|
||||
- `ingestion_burst_size_mb`: 突发流量大小
|
||||
|
||||
### Promtail 配置 (monitoring/promtail.yaml)
|
||||
|
||||
**Docker stdio 收集配置：**
|
||||
```yaml
|
||||
scrape_configs:
|
||||
- job_name: docker
|
||||
docker_sd_configs:
|
||||
- host: unix:///var/run/docker.sock
|
||||
filters:
|
||||
- name: label
|
||||
values: ["logging=promtail"]
|
||||
```
|
||||
|
||||
**文件收集配置：**
|
||||
```yaml
|
||||
scrape_configs:
|
||||
- job_name: app_files
|
||||
static_configs:
|
||||
- targets:
|
||||
- localhost
|
||||
labels:
|
||||
job: functional-scaffold-app-files
|
||||
__path__: /var/log/app/*.log
|
||||
```
|
||||
|
||||
## 验证和测试
|
||||
|
||||
### 1. 检查服务状态
|
||||
|
||||
```bash
|
||||
# 查看所有服务
|
||||
docker-compose ps
|
||||
|
||||
# 检查 Loki 健康状态
|
||||
curl http://localhost:3100/ready
|
||||
|
||||
# 检查 Promtail 健康状态
|
||||
curl http://localhost:9080/ready
|
||||
```
|
||||
|
||||
### 2. 生成测试日志
|
||||
|
||||
```bash
|
||||
# 发送测试请求
|
||||
curl -X POST http://localhost:8111/invoke \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"algorithm": "PrimeChecker", "params": {"number": 17}}'
|
||||
```
|
||||
|
||||
### 3. 查询日志
|
||||
|
||||
```bash
|
||||
# 使用 Loki API 查询
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app"}' \
|
||||
--data-urlencode 'limit=10' \
|
||||
| jq '.data.result'
|
||||
```
|
||||
|
||||
### 4. 在 Grafana 中验证
|
||||
|
||||
1. 访问 http://localhost:3000/explore
|
||||
2. 选择 Loki 数据源
|
||||
3. 输入查询: `{job="functional-scaffold-app"}`
|
||||
4. 应该能看到应用日志
|
||||
|
||||
## 故障排查
|
||||
|
||||
### 问题 1: 看不到日志
|
||||
|
||||
**检查步骤：**
|
||||
|
||||
1. 确认 Promtail 正在运行：
|
||||
```bash
|
||||
docker-compose ps promtail
|
||||
```
|
||||
|
||||
2. 检查 Promtail 日志：
|
||||
```bash
|
||||
docker-compose logs promtail
|
||||
```
|
||||
|
||||
3. 确认应用容器有正确的标签：
|
||||
```bash
|
||||
docker inspect functional-scaffold-app-1 | grep -A 5 Labels
|
||||
```
|
||||
|
||||
4. 检查 Loki 是否接收到日志：
|
||||
```bash
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/label/job/values" | jq
|
||||
```
|
||||
|
||||
### 问题 2: Promtail 无法访问 Docker socket
|
||||
|
||||
**错误信息：**
|
||||
```
|
||||
permission denied while trying to connect to the Docker daemon socket
|
||||
```
|
||||
|
||||
**解决方案：**
|
||||
|
||||
在 macOS/Linux 上，确保 Docker socket 权限正确：
|
||||
```bash
|
||||
sudo chmod 666 /var/run/docker.sock
|
||||
```
|
||||
|
||||
或者将 Promtail 容器添加到 docker 组（Linux）：
|
||||
```yaml
|
||||
promtail:
|
||||
user: root
|
||||
group_add:
|
||||
- docker
|
||||
```
|
||||
|
||||
### 问题 3: 日志量过大
|
||||
|
||||
**症状：**
|
||||
- Loki 响应缓慢
|
||||
- 磁盘空间不足
|
||||
|
||||
**解决方案：**
|
||||
|
||||
1. 调整日志保留期：
|
||||
```yaml
|
||||
# monitoring/loki.yaml
|
||||
limits_config:
|
||||
retention_period: 72h # 改为 3 天
|
||||
```
|
||||
|
||||
2. 增加摄入速率限制：
|
||||
```yaml
|
||||
limits_config:
|
||||
ingestion_rate_mb: 5 # 降低到 5MB/s
|
||||
```
|
||||
|
||||
3. 添加日志过滤：
|
||||
```yaml
|
||||
# monitoring/promtail.yaml
|
||||
pipeline_stages:
|
||||
- match:
|
||||
selector: '{job="functional-scaffold-app"}'
|
||||
stages:
|
||||
- drop:
|
||||
expression: ".*healthz.*" # 丢弃健康检查日志
|
||||
```
|
||||
|
||||
### 问题 4: 文件模式下看不到日志
|
||||
|
||||
**检查步骤：**
|
||||
|
||||
1. 确认文件日志已启用：
|
||||
```bash
|
||||
docker-compose exec app env | grep LOG_FILE
|
||||
```
|
||||
|
||||
2. 检查日志文件是否存在：
|
||||
```bash
|
||||
docker-compose exec app ls -lh /var/log/app/
|
||||
```
|
||||
|
||||
3. 检查 Promtail 是否能访问日志文件：
|
||||
```bash
|
||||
docker-compose exec promtail ls -lh /var/log/app/
|
||||
```
|
||||
|
||||
## 性能优化
|
||||
|
||||
### 1. 减少日志量
|
||||
|
||||
**在应用层面：**
|
||||
- 调整日志级别为 WARNING 或 ERROR
|
||||
- 过滤掉不必要的日志（如健康检查）
|
||||
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
environment:
|
||||
- LOG_LEVEL=WARNING
|
||||
```
|
||||
|
||||
**在 Promtail 层面：**
|
||||
```yaml
|
||||
# monitoring/promtail.yaml
|
||||
pipeline_stages:
|
||||
- drop:
|
||||
expression: ".*healthz.*"
|
||||
drop_counter_reason: "healthcheck"
|
||||
```
|
||||
|
||||
### 2. 优化查询性能
|
||||
|
||||
**使用标签过滤：**
|
||||
```logql
|
||||
# 好：使用标签过滤（快）
|
||||
{job="functional-scaffold-app", level="ERROR"}
|
||||
|
||||
# 差：使用文本过滤（慢）
|
||||
{job="functional-scaffold-app"} |= "ERROR"
|
||||
```
|
||||
|
||||
**限制时间范围：**
|
||||
```logql
|
||||
# 查询最近 5 分钟
|
||||
{job="functional-scaffold-app"}[5m]
|
||||
|
||||
# 避免查询过长时间范围
|
||||
{job="functional-scaffold-app"}[7d] # 慢
|
||||
```
|
||||
|
||||
### 3. 存储优化
|
||||
|
||||
**定期清理旧数据：**
|
||||
```bash
|
||||
# Loki 会自动根据 retention_period 清理
|
||||
# 也可以手动清理
|
||||
docker-compose exec loki rm -rf /loki/chunks/*
|
||||
```
|
||||
|
||||
**监控磁盘使用：**
|
||||
```bash
|
||||
docker-compose exec loki du -sh /loki/chunks
|
||||
```
|
||||
|
||||
## 高级功能
|
||||
|
||||
### 1. 告警规则
|
||||
|
||||
在 Loki 中配置告警规则（需要 Loki Ruler）：
|
||||
|
||||
```yaml
|
||||
# monitoring/loki-rules.yaml
|
||||
groups:
|
||||
- name: error_alerts
|
||||
interval: 1m
|
||||
rules:
|
||||
- alert: HighErrorRate
|
||||
expr: |
|
||||
sum(rate({job="functional-scaffold-app", level="ERROR"}[5m]))
|
||||
/
|
||||
sum(rate({job="functional-scaffold-app"}[5m]))
|
||||
> 0.05
|
||||
for: 5m
|
||||
labels:
|
||||
severity: warning
|
||||
annotations:
|
||||
summary: "错误率过高"
|
||||
description: "应用错误率超过 5%"
|
||||
```
|
||||
|
||||
### 2. 日志导出
|
||||
|
||||
**导出为 JSON：**
|
||||
```bash
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app"}' \
|
||||
--data-urlencode 'start=2024-01-01T00:00:00Z' \
|
||||
--data-urlencode 'end=2024-01-02T00:00:00Z' \
|
||||
| jq '.data.result' > logs.json
|
||||
```
|
||||
|
||||
**导出为文本：**
|
||||
```bash
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app"}' \
|
||||
| jq -r '.data.result[].values[][1]' > logs.txt
|
||||
```
|
||||
|
||||
### 3. 与 Prometheus 集成
|
||||
|
||||
在 Grafana 仪表板中同时显示日志和指标：
|
||||
|
||||
```json
|
||||
{
|
||||
"panels": [
|
||||
{
|
||||
"title": "错误率和错误日志",
|
||||
"targets": [
|
||||
{
|
||||
"datasource": "Prometheus",
|
||||
"expr": "rate(http_requests_total{status=\"error\"}[5m])"
|
||||
},
|
||||
{
|
||||
"datasource": "Loki",
|
||||
"expr": "{job=\"functional-scaffold-app\", level=\"ERROR\"}"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
## 最佳实践
|
||||
|
||||
### 1. 日志格式
|
||||
|
||||
**使用结构化日志（JSON）：**
|
||||
```python
|
||||
logger.info("处理请求", extra={
|
||||
"request_id": "abc123",
|
||||
"user_id": "user456",
|
||||
"duration": 0.123
|
||||
})
|
||||
```
|
||||
|
||||
**输出：**
|
||||
```json
|
||||
{
|
||||
"asctime": "2024-01-01 12:00:00,000",
|
||||
"name": "functional_scaffold.api.routes",
|
||||
"levelname": "INFO",
|
||||
"message": "处理请求",
|
||||
"request_id": "abc123",
|
||||
"user_id": "user456",
|
||||
"duration": 0.123
|
||||
}
|
||||
```
|
||||
|
||||
### 2. 标签策略
|
||||
|
||||
**好的标签：**
|
||||
- 低基数（值的种类少）
|
||||
- 用于过滤和分组
|
||||
- 例如：`level`, `logger`, `container`
|
||||
|
||||
**不好的标签：**
|
||||
- 高基数（值的种类多）
|
||||
- 例如：`request_id`, `user_id`, `timestamp`
|
||||
|
||||
**正确做法：**
|
||||
```logql
|
||||
# 使用标签过滤
|
||||
{job="functional-scaffold-app", level="ERROR"}
|
||||
|
||||
# 使用 JSON 提取高基数字段
|
||||
{job="functional-scaffold-app"} | json | request_id = "abc123"
|
||||
```
|
||||
|
||||
### 3. 查询优化
|
||||
|
||||
**使用时间范围：**
|
||||
```logql
|
||||
{job="functional-scaffold-app"}[5m] # 最近 5 分钟
|
||||
```
|
||||
|
||||
**限制返回行数：**
|
||||
```logql
|
||||
{job="functional-scaffold-app"} | limit 100
|
||||
```
|
||||
|
||||
**使用聚合减少数据量：**
|
||||
```logql
|
||||
sum by (level) (count_over_time({job="functional-scaffold-app"}[5m]))
|
||||
```
|
||||
|
||||
## 参考资料
|
||||
|
||||
- [Loki 官方文档](https://grafana.com/docs/loki/latest/)
|
||||
- [LogQL 查询语言](https://grafana.com/docs/loki/latest/logql/)
|
||||
- [Promtail 配置](https://grafana.com/docs/loki/latest/clients/promtail/configuration/)
|
||||
- [Grafana Explore](https://grafana.com/docs/grafana/latest/explore/)
|
||||
|
||||
## 总结
|
||||
|
||||
本项目的 Loki 集成提供了：
|
||||
|
||||
✅ **开箱即用** - 无需额外配置即可收集日志
|
||||
✅ **双模式支持** - Docker stdio（默认）和文件收集
|
||||
✅ **自动化配置** - 数据源和仪表板自动加载
|
||||
✅ **结构化日志** - JSON 格式，支持字段提取
|
||||
✅ **高性能** - 低资源占用，快速查询
|
||||
✅ **易于扩展** - 支持自定义标签和过滤规则
|
||||
|
||||
如有问题，请参考故障排查章节或查阅官方文档。
|
||||
237
docs/loki-quick-reference.md
Normal file
237
docs/loki-quick-reference.md
Normal file
@@ -0,0 +1,237 @@
|
||||
# Loki 快速参考
|
||||
|
||||
## 常用命令
|
||||
|
||||
### 服务管理
|
||||
|
||||
```bash
|
||||
# 启动所有服务
|
||||
cd deployment && docker-compose up -d
|
||||
|
||||
# 查看服务状态
|
||||
docker-compose ps
|
||||
|
||||
# 查看日志
|
||||
docker-compose logs -f loki
|
||||
docker-compose logs -f promtail
|
||||
|
||||
# 重启服务
|
||||
docker-compose restart loki promtail
|
||||
|
||||
# 停止服务
|
||||
docker-compose down
|
||||
```
|
||||
|
||||
### 健康检查
|
||||
|
||||
```bash
|
||||
# Loki
|
||||
curl http://localhost:3100/ready
|
||||
|
||||
# Promtail
|
||||
curl http://localhost:9080/ready
|
||||
|
||||
# 验证脚本
|
||||
./scripts/verify_loki.sh
|
||||
```
|
||||
|
||||
## 常用 LogQL 查询
|
||||
|
||||
### 基础查询
|
||||
|
||||
```logql
|
||||
# 所有日志
|
||||
{job="functional-scaffold-app"}
|
||||
|
||||
# 错误日志
|
||||
{job="functional-scaffold-app", level="ERROR"}
|
||||
|
||||
# 特定时间范围
|
||||
{job="functional-scaffold-app"}[5m]
|
||||
```
|
||||
|
||||
### 文本过滤
|
||||
|
||||
```logql
|
||||
# 包含文本
|
||||
{job="functional-scaffold-app"} |= "error"
|
||||
|
||||
# 不包含文本
|
||||
{job="functional-scaffold-app"} != "healthz"
|
||||
|
||||
# 正则匹配
|
||||
{job="functional-scaffold-app"} |~ "error|exception"
|
||||
```
|
||||
|
||||
### JSON 提取
|
||||
|
||||
```logql
|
||||
# 提取 request_id
|
||||
{job="functional-scaffold-app"} | json | request_id != ""
|
||||
|
||||
# 按 request_id 过滤
|
||||
{job="functional-scaffold-app"} | json | request_id = "abc123"
|
||||
```
|
||||
|
||||
### 聚合统计
|
||||
|
||||
```logql
|
||||
# 日志数量
|
||||
count_over_time({job="functional-scaffold-app"}[5m])
|
||||
|
||||
# 按级别统计
|
||||
sum by (level) (count_over_time({job="functional-scaffold-app"}[5m]))
|
||||
|
||||
# 错误率
|
||||
sum(rate({job="functional-scaffold-app", level="ERROR"}[5m]))
|
||||
/
|
||||
sum(rate({job="functional-scaffold-app"}[5m]))
|
||||
```
|
||||
|
||||
## API 查询
|
||||
|
||||
### 查询日志
|
||||
|
||||
```bash
|
||||
# 查询最近的日志
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app"}' \
|
||||
--data-urlencode 'limit=10' \
|
||||
| jq '.data.result'
|
||||
|
||||
# 查询错误日志
|
||||
curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app", level="ERROR"}' \
|
||||
| jq '.data.result'
|
||||
```
|
||||
|
||||
### 查询标签
|
||||
|
||||
```bash
|
||||
# 查询所有 job 标签值
|
||||
curl -s "http://localhost:3100/loki/api/v1/label/job/values" | jq
|
||||
|
||||
# 查询所有 level 标签值
|
||||
curl -s "http://localhost:3100/loki/api/v1/label/level/values" | jq
|
||||
```
|
||||
|
||||
## 配置切换
|
||||
|
||||
### 启用文件日志
|
||||
|
||||
编辑 `deployment/docker-compose.yml`:
|
||||
|
||||
```yaml
|
||||
environment:
|
||||
- LOG_FILE_ENABLED=true
|
||||
```
|
||||
|
||||
重启服务:
|
||||
|
||||
```bash
|
||||
docker-compose up -d app
|
||||
```
|
||||
|
||||
### 调整日志级别
|
||||
|
||||
编辑 `deployment/docker-compose.yml`:
|
||||
|
||||
```yaml
|
||||
environment:
|
||||
- LOG_LEVEL=WARNING # DEBUG, INFO, WARNING, ERROR, CRITICAL
|
||||
```
|
||||
|
||||
### 修改保留期
|
||||
|
||||
编辑 `monitoring/loki.yaml`:
|
||||
|
||||
```yaml
|
||||
limits_config:
|
||||
retention_period: 72h # 改为 3 天
|
||||
```
|
||||
|
||||
重启 Loki:
|
||||
|
||||
```bash
|
||||
docker-compose restart loki
|
||||
```
|
||||
|
||||
## 访问地址
|
||||
|
||||
| 服务 | 地址 | 凭据 |
|
||||
|------|------|------|
|
||||
| Grafana | http://localhost:3000 | admin/admin |
|
||||
| Loki API | http://localhost:3100 | - |
|
||||
| Promtail | http://localhost:9080 | - |
|
||||
| Prometheus | http://localhost:9090 | - |
|
||||
| App | http://localhost:8111 | - |
|
||||
|
||||
## 故障排查
|
||||
|
||||
### 看不到日志
|
||||
|
||||
```bash
|
||||
# 1. 检查 Promtail 日志
|
||||
docker-compose logs promtail | tail -50
|
||||
|
||||
# 2. 检查容器标签
|
||||
docker inspect deployment-app-1 | grep -A 5 Labels
|
||||
|
||||
# 3. 查询 Loki
|
||||
curl -s "http://localhost:3100/loki/api/v1/label/job/values" | jq
|
||||
```
|
||||
|
||||
### Docker socket 权限
|
||||
|
||||
```bash
|
||||
sudo chmod 666 /var/run/docker.sock
|
||||
```
|
||||
|
||||
### 清理日志数据
|
||||
|
||||
```bash
|
||||
# 停止 Loki
|
||||
docker-compose stop loki
|
||||
|
||||
# 清理数据
|
||||
docker-compose exec loki rm -rf /loki/chunks/*
|
||||
|
||||
# 重启 Loki
|
||||
docker-compose start loki
|
||||
```
|
||||
|
||||
## 性能优化
|
||||
|
||||
### 减少日志量
|
||||
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
environment:
|
||||
- LOG_LEVEL=WARNING # 只记录警告和错误
|
||||
```
|
||||
|
||||
### 过滤健康检查日志
|
||||
|
||||
编辑 `monitoring/promtail.yaml`:
|
||||
|
||||
```yaml
|
||||
pipeline_stages:
|
||||
- drop:
|
||||
expression: ".*healthz.*"
|
||||
```
|
||||
|
||||
### 限制查询范围
|
||||
|
||||
```logql
|
||||
# 好：限制时间范围
|
||||
{job="functional-scaffold-app"}[5m]
|
||||
|
||||
# 差：查询所有时间
|
||||
{job="functional-scaffold-app"}
|
||||
```
|
||||
|
||||
## 文档链接
|
||||
|
||||
- 完整文档: `docs/loki-integration.md`
|
||||
- 实施总结: `docs/loki-implementation-summary.md`
|
||||
- 验证脚本: `scripts/verify_loki.sh`
|
||||
258
monitoring/README.md
Normal file
258
monitoring/README.md
Normal file
@@ -0,0 +1,258 @@
|
||||
# Monitoring 目录说明
|
||||
|
||||
本目录包含所有监控和日志收集相关的配置文件。
|
||||
|
||||
## 目录结构
|
||||
|
||||
```
|
||||
monitoring/
|
||||
├── alerts/ # Prometheus 告警规则
|
||||
│ └── rules.yaml # 告警规则配置
|
||||
├── grafana/ # Grafana 配置
|
||||
│ ├── datasources/ # 数据源自动配置
|
||||
│ │ ├── prometheus.yaml # Prometheus 数据源
|
||||
│ │ └── loki.yaml # Loki 数据源
|
||||
│ └── dashboards/ # 仪表板自动加载
|
||||
│ ├── provider.yaml # Dashboard provider 配置
|
||||
│ ├── dashboard.json # 指标监控仪表板
|
||||
│ └── logs-dashboard.json # 日志监控仪表板
|
||||
├── loki.yaml # Loki 日志存储配置
|
||||
├── promtail.yaml # Promtail 日志采集配置
|
||||
└── prometheus.yml # Prometheus 指标收集配置
|
||||
```
|
||||
|
||||
## 配置文件说明
|
||||
|
||||
### Prometheus 配置
|
||||
|
||||
**文件**: `prometheus.yml`
|
||||
|
||||
Prometheus 指标收集配置，包括：
|
||||
- 抓取间隔: 5 秒
|
||||
- 目标: app 服务的 `/metrics` 端点
|
||||
- 告警规则: 从 `alerts/` 目录加载
|
||||
|
||||
### Loki 配置
|
||||
|
||||
**文件**: `loki.yaml`
|
||||
|
||||
Loki 日志存储配置，包括：
|
||||
- 存储方式: 本地文件系统
|
||||
- 日志保留期: 7 天
|
||||
- 摄入速率限制: 10MB/s
|
||||
- 自动压缩和清理
|
||||
|
||||
**关键配置**:
|
||||
```yaml
|
||||
limits_config:
|
||||
retention_period: 168h # 7 天
|
||||
ingestion_rate_mb: 10 # 10MB/s
|
||||
```
|
||||
|
||||
### Promtail 配置
|
||||
|
||||
**文件**: `promtail.yaml`
|
||||
|
||||
Promtail 日志采集配置，支持两种模式：
|
||||
|
||||
**模式 1: Docker stdio 收集（默认）**
|
||||
- 通过 Docker API 自动发现容器
|
||||
- 过滤带有 `logging=promtail` 标签的容器
|
||||
- 自动解析 JSON 日志
|
||||
|
||||
**模式 2: 文件收集（备用）**
|
||||
- 从 `/var/log/app/*.log` 读取日志文件
|
||||
- 支持日志轮转
|
||||
- 需要设置 `LOG_FILE_ENABLED=true`
|
||||
|
||||
### Grafana Provisioning
|
||||
|
||||
**数据源** (`grafana/datasources/`)
|
||||
|
||||
自动配置 Grafana 数据源：
|
||||
- `prometheus.yaml`: Prometheus 数据源（默认）
|
||||
- `loki.yaml`: Loki 数据源
|
||||
|
||||
**仪表板** (`grafana/dashboards/`)
|
||||
|
||||
自动加载 Grafana 仪表板：
|
||||
- `provider.yaml`: Dashboard provider 配置
|
||||
- `dashboard.json`: 指标监控仪表板（HTTP 请求、算法执行等）
|
||||
- `logs-dashboard.json`: 日志监控仪表板（日志流、错误日志等）
|
||||
|
||||
### 告警规则
|
||||
|
||||
**文件**: `alerts/rules.yaml`
|
||||
|
||||
Prometheus 告警规则，包括：
|
||||
- 高错误率告警
|
||||
- 高延迟告警
|
||||
- 服务不可用告警
|
||||
|
||||
## 修改配置
|
||||
|
||||
### 调整日志保留期
|
||||
|
||||
编辑 `loki.yaml`:
|
||||
|
||||
```yaml
|
||||
limits_config:
|
||||
retention_period: 72h # 改为 3 天
|
||||
```
|
||||
|
||||
重启 Loki:
|
||||
|
||||
```bash
|
||||
cd deployment
|
||||
docker-compose restart loki
|
||||
```
|
||||
|
||||
### 调整指标抓取间隔
|
||||
|
||||
编辑 `prometheus.yml`:
|
||||
|
||||
```yaml
|
||||
global:
|
||||
scrape_interval: 10s # 改为 10 秒
|
||||
```
|
||||
|
||||
重启 Prometheus:
|
||||
|
||||
```bash
|
||||
cd deployment
|
||||
docker-compose restart prometheus
|
||||
```
|
||||
|
||||
### 添加新的告警规则
|
||||
|
||||
编辑 `alerts/rules.yaml`，添加新规则：
|
||||
|
||||
```yaml
|
||||
groups:
|
||||
- name: my_alerts
|
||||
rules:
|
||||
- alert: MyAlert
|
||||
expr: my_metric > 100
|
||||
for: 5m
|
||||
labels:
|
||||
severity: warning
|
||||
annotations:
|
||||
summary: "我的告警"
|
||||
```
|
||||
|
||||
重启 Prometheus:
|
||||
|
||||
```bash
|
||||
cd deployment
|
||||
docker-compose restart prometheus
|
||||
```
|
||||
|
||||
### 添加新的仪表板
|
||||
|
||||
1. 在 Grafana UI 中创建仪表板
|
||||
2. 导出为 JSON
|
||||
3. 保存到 `grafana/dashboards/my-dashboard.json`
|
||||
4. 重启 Grafana（或等待自动重载）
|
||||
|
||||
```bash
|
||||
cd deployment
|
||||
docker-compose restart grafana
|
||||
```
|
||||
|
||||
## 验证配置
|
||||
|
||||
### 检查 Prometheus 配置
|
||||
|
||||
```bash
|
||||
# 访问 Prometheus UI
|
||||
open http://localhost:9090
|
||||
|
||||
# 检查目标状态
|
||||
open http://localhost:9090/targets
|
||||
|
||||
# 检查告警规则
|
||||
open http://localhost:9090/alerts
|
||||
```
|
||||
|
||||
### 检查 Loki 配置
|
||||
|
||||
```bash
|
||||
# 检查 Loki 健康状态
|
||||
curl http://localhost:3100/ready
|
||||
|
||||
# 查询标签
|
||||
curl -s "http://localhost:3100/loki/api/v1/label/job/values" | jq
|
||||
```
|
||||
|
||||
### 检查 Grafana 配置
|
||||
|
||||
```bash
|
||||
# 访问 Grafana UI
|
||||
open http://localhost:3000
|
||||
|
||||
# 检查数据源
|
||||
curl -s -u admin:admin http://localhost:3000/api/datasources | jq
|
||||
|
||||
# 检查仪表板
|
||||
curl -s -u admin:admin http://localhost:3000/api/search | jq
|
||||
```
|
||||
|
||||
## 故障排查
|
||||
|
||||
### Prometheus 无法抓取指标
|
||||
|
||||
1. 检查 app 服务是否运行: `docker-compose ps app`
|
||||
2. 检查 metrics 端点: `curl http://localhost:8111/metrics`
|
||||
3. 查看 Prometheus 日志: `docker-compose logs prometheus`
|
||||
|
||||
### Loki 无法接收日志
|
||||
|
||||
1. 检查 Promtail 是否运行: `docker-compose ps promtail`
|
||||
2. 查看 Promtail 日志: `docker-compose logs promtail`
|
||||
3. 检查容器标签: `docker inspect <container> | grep Labels`
|
||||
|
||||
### Grafana 数据源未加载
|
||||
|
||||
1. 检查 provisioning 目录挂载: `docker-compose config | grep grafana -A 10`
|
||||
2. 查看 Grafana 日志: `docker-compose logs grafana`
|
||||
3. 手动重启 Grafana: `docker-compose restart grafana`
|
||||
|
||||
## 相关文档
|
||||
|
||||
- [Loki 集成文档](../docs/loki-integration.md) - 完整的 Loki 使用文档
|
||||
- [Loki 快速参考](../docs/loki-quick-reference.md) - 常用命令和查询
|
||||
- [Loki 实施总结](../docs/loki-implementation-summary.md) - 实施细节和架构说明
|
||||
- [Prometheus 官方文档](https://prometheus.io/docs/)
|
||||
- [Loki 官方文档](https://grafana.com/docs/loki/latest/)
|
||||
- [Grafana 官方文档](https://grafana.com/docs/grafana/latest/)
|
||||
|
||||
## 性能建议
|
||||
|
||||
### 日志量控制
|
||||
|
||||
- 调整日志级别为 WARNING 或 ERROR
|
||||
- 过滤掉不必要的日志（如健康检查）
|
||||
- 减少日志保留期
|
||||
|
||||
### 指标优化
|
||||
|
||||
- 增加抓取间隔（如 15s 或 30s）
|
||||
- 减少指标基数（避免高基数标签）
|
||||
- 定期清理旧数据
|
||||
|
||||
### 存储优化
|
||||
|
||||
- 监控磁盘使用: `docker-compose exec loki du -sh /loki`
|
||||
- 定期备份重要数据
|
||||
- 考虑使用对象存储（S3/OSS）作为后端
|
||||
|
||||
## 总结
|
||||
|
||||
本目录包含完整的监控和日志收集配置：
|
||||
|
||||
✅ **Prometheus** - 指标收集和告警
|
||||
✅ **Loki** - 日志存储和查询
|
||||
✅ **Promtail** - 日志采集
|
||||
✅ **Grafana** - 可视化和仪表板
|
||||
|
||||
所有配置都支持自动加载，无需手动配置。
|
||||
292
monitoring/grafana/dashboards/logs-dashboard.json
Normal file
292
monitoring/grafana/dashboards/logs-dashboard.json
Normal file
@@ -0,0 +1,292 @@
|
||||
{
|
||||
"annotations": {
|
||||
"list": [
|
||||
{
|
||||
"builtIn": 1,
|
||||
"datasource": {
|
||||
"type": "grafana",
|
||||
"uid": "-- Grafana --"
|
||||
},
|
||||
"enable": true,
|
||||
"hide": true,
|
||||
"iconColor": "rgba(0, 211, 255, 1)",
|
||||
"name": "Annotations & Alerts",
|
||||
"type": "dashboard"
|
||||
}
|
||||
]
|
||||
},
|
||||
"editable": true,
|
||||
"fiscalYearStartMonth": 0,
|
||||
"graphTooltip": 0,
|
||||
"id": null,
|
||||
"links": [],
|
||||
"liveNow": false,
|
||||
"panels": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 10,
|
||||
"w": 24,
|
||||
"x": 0,
|
||||
"y": 0
|
||||
},
|
||||
"id": 1,
|
||||
"options": {
|
||||
"dedupStrategy": "none",
|
||||
"enableLogDetails": true,
|
||||
"prettifyLogMessage": false,
|
||||
"showCommonLabels": false,
|
||||
"showLabels": false,
|
||||
"showTime": true,
|
||||
"sortOrder": "Descending",
|
||||
"wrapLogMessage": false
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"editorMode": "code",
|
||||
"expr": "{job=\"functional-scaffold-app\"}",
|
||||
"queryType": "range",
|
||||
"refId": "A"
|
||||
}
|
||||
],
|
||||
"title": "日志流 (实时)",
|
||||
"type": "logs"
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
|
||||
"mode": "palette-classic"
|
||||
},
|
||||
"custom": {
|
||||
"axisCenteredZero": false,
|
||||
"axisColorMode": "text",
|
||||
"axisLabel": "",
|
||||
"axisPlacement": "auto",
|
||||
"barAlignment": 0,
|
||||
"drawStyle": "line",
|
||||
"fillOpacity": 10,
|
||||
"gradientMode": "none",
|
||||
"hideFrom": {
|
||||
"tooltip": false,
|
||||
"viz": false,
|
||||
"legend": false
|
||||
},
|
||||
"lineInterpolation": "linear",
|
||||
"lineWidth": 1,
|
||||
"pointSize": 5,
|
||||
"scaleDistribution": {
|
||||
"type": "linear"
|
||||
},
|
||||
"showPoints": "never",
|
||||
"spanNulls": false,
|
||||
"stacking": {
|
||||
"group": "A",
|
||||
"mode": "none"
|
||||
},
|
||||
"thresholdsStyle": {
|
||||
"mode": "off"
|
||||
}
|
||||
},
|
||||
"mappings": [],
|
||||
"thresholds": {
|
||||
"mode": "absolute",
|
||||
"steps": [
|
||||
{
|
||||
"color": "green",
|
||||
"value": null
|
||||
}
|
||||
]
|
||||
},
|
||||
"unit": "short"
|
||||
},
|
||||
"overrides": []
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 8,
|
||||
"w": 12,
|
||||
"x": 0,
|
||||
"y": 10
|
||||
},
|
||||
"id": 2,
|
||||
"options": {
|
||||
"legend": {
|
||||
"calcs": [],
|
||||
"displayMode": "list",
|
||||
"placement": "bottom",
|
||||
"showLegend": true
|
||||
},
|
||||
"tooltip": {
|
||||
"mode": "single",
|
||||
"sort": "none"
|
||||
}
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"editorMode": "code",
|
||||
"expr": "sum by (level) (count_over_time({job=\"functional-scaffold-app\"}[1m]))",
|
||||
"queryType": "range",
|
||||
"refId": "A"
|
||||
}
|
||||
],
|
||||
"title": "日志量趋势（按级别）",
|
||||
"type": "timeseries"
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"fieldConfig": {
|
||||
"defaults": {
|
||||
"color": {
|
||||
"mode": "thresholds"
|
||||
},
|
||||
"mappings": [],
|
||||
"thresholds": {
|
||||
"mode": "absolute",
|
||||
"steps": [
|
||||
{
|
||||
"color": "green",
|
||||
"value": null
|
||||
},
|
||||
{
|
||||
"color": "yellow",
|
||||
"value": 10
|
||||
},
|
||||
{
|
||||
"color": "red",
|
||||
"value": 50
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"overrides": []
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 8,
|
||||
"w": 12,
|
||||
"x": 12,
|
||||
"y": 10
|
||||
},
|
||||
"id": 3,
|
||||
"options": {
|
||||
"orientation": "auto",
|
||||
"reduceOptions": {
|
||||
"values": false,
|
||||
"calcs": [
|
||||
"lastNotNull"
|
||||
],
|
||||
"fields": ""
|
||||
},
|
||||
"showThresholdLabels": false,
|
||||
"showThresholdMarkers": true
|
||||
},
|
||||
"pluginVersion": "9.5.3",
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"editorMode": "code",
|
||||
"expr": "sum by (level) (count_over_time({job=\"functional-scaffold-app\"}[$__range]))",
|
||||
"queryType": "range",
|
||||
"refId": "A"
|
||||
}
|
||||
],
|
||||
"title": "日志级别分布",
|
||||
"type": "gauge"
|
||||
},
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"gridPos": {
|
||||
"h": 10,
|
||||
"w": 24,
|
||||
"x": 0,
|
||||
"y": 18
|
||||
},
|
||||
"id": 4,
|
||||
"options": {
|
||||
"dedupStrategy": "none",
|
||||
"enableLogDetails": true,
|
||||
"prettifyLogMessage": false,
|
||||
"showCommonLabels": false,
|
||||
"showLabels": false,
|
||||
"showTime": true,
|
||||
"sortOrder": "Descending",
|
||||
"wrapLogMessage": false
|
||||
},
|
||||
"targets": [
|
||||
{
|
||||
"datasource": {
|
||||
"type": "loki",
|
||||
"uid": "Loki"
|
||||
},
|
||||
"editorMode": "code",
|
||||
"expr": "{job=\"functional-scaffold-app\", level=\"ERROR\"}",
|
||||
"queryType": "range",
|
||||
"refId": "A"
|
||||
}
|
||||
],
|
||||
"title": "错误日志",
|
||||
"type": "logs"
|
||||
}
|
||||
],
|
||||
"refresh": "5s",
|
||||
"schemaVersion": 38,
|
||||
"style": "dark",
|
||||
"tags": ["logs", "loki"],
|
||||
"templating": {
|
||||
"list": [
|
||||
{
|
||||
"current": {
|
||||
"selected": false,
|
||||
"text": "",
|
||||
"value": ""
|
||||
},
|
||||
"hide": 0,
|
||||
"label": "Request ID",
|
||||
"name": "request_id",
|
||||
"options": [
|
||||
{
|
||||
"selected": true,
|
||||
"text": "",
|
||||
"value": ""
|
||||
}
|
||||
],
|
||||
"query": "",
|
||||
"skipUrlSync": false,
|
||||
"type": "textbox"
|
||||
}
|
||||
]
|
||||
},
|
||||
"time": {
|
||||
"from": "now-15m",
|
||||
"to": "now"
|
||||
},
|
||||
"timepicker": {},
|
||||
"timezone": "",
|
||||
"title": "日志监控",
|
||||
"uid": "logs-dashboard",
|
||||
"version": 0,
|
||||
"weekStart": ""
|
||||
}
|
||||
13
monitoring/grafana/dashboards/provider.yaml
Normal file
13
monitoring/grafana/dashboards/provider.yaml
Normal file
@@ -0,0 +1,13 @@
|
||||
apiVersion: 1
|
||||
|
||||
providers:
|
||||
- name: 'default'
|
||||
orgId: 1
|
||||
folder: ''
|
||||
type: file
|
||||
disableDeletion: false
|
||||
updateIntervalSeconds: 10
|
||||
allowUiUpdates: true
|
||||
options:
|
||||
path: /etc/grafana/provisioning/dashboards
|
||||
foldersFromFilesStructure: true
|
||||
11
monitoring/grafana/datasources/loki.yaml
Normal file
11
monitoring/grafana/datasources/loki.yaml
Normal file
@@ -0,0 +1,11 @@
|
||||
apiVersion: 1
|
||||
|
||||
datasources:
|
||||
- name: Loki
|
||||
type: loki
|
||||
access: proxy
|
||||
url: http://loki:3100
|
||||
isDefault: false
|
||||
editable: false
|
||||
jsonData:
|
||||
maxLines: 1000
|
||||
11
monitoring/grafana/datasources/prometheus.yaml
Normal file
11
monitoring/grafana/datasources/prometheus.yaml
Normal file
@@ -0,0 +1,11 @@
|
||||
apiVersion: 1
|
||||
|
||||
datasources:
|
||||
- name: Prometheus
|
||||
type: prometheus
|
||||
access: proxy
|
||||
url: http://prometheus:9090
|
||||
isDefault: true
|
||||
editable: false
|
||||
jsonData:
|
||||
timeInterval: "5s"
|
||||
39
monitoring/loki.yaml
Normal file
39
monitoring/loki.yaml
Normal file
@@ -0,0 +1,39 @@
|
||||
auth_enabled: false
|
||||
|
||||
server:
|
||||
http_listen_port: 3100
|
||||
grpc_listen_port: 9096
|
||||
|
||||
common:
|
||||
path_prefix: /loki
|
||||
storage:
|
||||
filesystem:
|
||||
chunks_directory: /loki/chunks
|
||||
rules_directory: /loki/rules
|
||||
replication_factor: 1
|
||||
ring:
|
||||
instance_addr: 127.0.0.1
|
||||
kvstore:
|
||||
store: inmemory
|
||||
|
||||
schema_config:
|
||||
configs:
|
||||
- from: 2020-10-24
|
||||
store: boltdb-shipper
|
||||
object_store: filesystem
|
||||
schema: v11
|
||||
index:
|
||||
prefix: index_
|
||||
period: 24h
|
||||
|
||||
limits_config:
|
||||
retention_period: 168h # 7 天
|
||||
ingestion_rate_mb: 10
|
||||
ingestion_burst_size_mb: 20
|
||||
|
||||
compactor:
|
||||
working_directory: /loki/compactor
|
||||
shared_store: filesystem
|
||||
compaction_interval: 10m
|
||||
retention_enabled: true
|
||||
retention_delete_delay: 2h
|
||||
71
monitoring/promtail.yaml
Normal file
71
monitoring/promtail.yaml
Normal file
@@ -0,0 +1,71 @@
|
||||
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:
|
||||
# 场景 1: Docker stdio 收集（主要方式）
|
||||
- job_name: docker
|
||||
docker_sd_configs:
|
||||
- host: unix:///var/run/docker.sock
|
||||
refresh_interval: 5s
|
||||
filters:
|
||||
- name: label
|
||||
values: ["logging=promtail"]
|
||||
relabel_configs:
|
||||
- source_labels: ['__meta_docker_container_name']
|
||||
regex: '/(.*)'
|
||||
target_label: 'container'
|
||||
- source_labels: ['__meta_docker_container_label_logging_jobname']
|
||||
target_label: 'job'
|
||||
- source_labels: ['__meta_docker_container_id']
|
||||
target_label: '__path__'
|
||||
replacement: '/var/lib/docker/containers/$1/*.log'
|
||||
pipeline_stages:
|
||||
- json:
|
||||
expressions:
|
||||
log: log
|
||||
stream: stream
|
||||
time: time
|
||||
- json:
|
||||
source: log
|
||||
expressions:
|
||||
level: levelname
|
||||
logger: name
|
||||
message: message
|
||||
request_id: request_id
|
||||
- labels:
|
||||
level:
|
||||
logger:
|
||||
- output:
|
||||
source: log
|
||||
|
||||
# 场景 2: Log 文件收集（备用）
|
||||
- job_name: app_files
|
||||
static_configs:
|
||||
- targets:
|
||||
- localhost
|
||||
labels:
|
||||
job: functional-scaffold-app-files
|
||||
__path__: /var/log/app/*.log
|
||||
pipeline_stages:
|
||||
- json:
|
||||
expressions:
|
||||
timestamp: asctime
|
||||
level: levelname
|
||||
logger: name
|
||||
message: message
|
||||
request_id: request_id
|
||||
- timestamp:
|
||||
source: timestamp
|
||||
format: "2006-01-02 15:04:05,000"
|
||||
- labels:
|
||||
level:
|
||||
logger:
|
||||
- output:
|
||||
source: message
|
||||
104
scripts/test_concurrency.sh
Executable file
104
scripts/test_concurrency.sh
Executable file
@@ -0,0 +1,104 @@
|
||||
#!/bin/bash
|
||||
# 并发控制测试脚本
|
||||
|
||||
set -e
|
||||
|
||||
BASE_URL="http://localhost:8000"
|
||||
|
||||
echo "=== 异步任务并发控制测试 ==="
|
||||
echo ""
|
||||
|
||||
# 1. 检查服务是否运行
|
||||
echo "1. 检查服务状态..."
|
||||
if ! curl -s "${BASE_URL}/healthz" > /dev/null; then
|
||||
echo "❌ 服务未运行，请先启动服务"
|
||||
exit 1
|
||||
fi
|
||||
echo "✅ 服务正常运行"
|
||||
echo ""
|
||||
|
||||
# 2. 查询初始并发状态
|
||||
echo "2. 查询初始并发状态..."
|
||||
curl -s "${BASE_URL}/jobs/concurrency/status" | jq '.'
|
||||
echo ""
|
||||
|
||||
# 3. 创建多个任务
|
||||
echo "3. 创建 15 个任务（测试并发限制）..."
|
||||
JOB_IDS=()
|
||||
for i in {1..15}; do
|
||||
# 使用较大的质数，让任务执行时间更长
|
||||
NUMBER=$((10000 + i * 1000))
|
||||
RESPONSE=$(curl -s -X POST "${BASE_URL}/jobs" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d "{\"algorithm\": \"PrimeChecker\", \"params\": {\"number\": ${NUMBER}}}")
|
||||
|
||||
JOB_ID=$(echo "$RESPONSE" | jq -r '.job_id')
|
||||
JOB_IDS+=("$JOB_ID")
|
||||
echo " 创建任务 ${i}/15: job_id=${JOB_ID}"
|
||||
|
||||
# 短暂延迟，避免请求过快
|
||||
sleep 0.1
|
||||
done
|
||||
echo ""
|
||||
|
||||
# 4. 立即查询并发状态（应该看到多个任务在运行）
|
||||
echo "4. 查询并发状态（任务执行中）..."
|
||||
for i in {1..5}; do
|
||||
echo " 第 ${i} 次查询:"
|
||||
STATUS=$(curl -s "${BASE_URL}/jobs/concurrency/status")
|
||||
echo " $(echo "$STATUS" | jq -c '.')"
|
||||
sleep 1
|
||||
done
|
||||
echo ""
|
||||
|
||||
# 5. 等待所有任务完成
|
||||
echo "5. 等待任务完成..."
|
||||
COMPLETED=0
|
||||
TOTAL=${#JOB_IDS[@]}
|
||||
|
||||
while [ $COMPLETED -lt $TOTAL ]; do
|
||||
COMPLETED=0
|
||||
for JOB_ID in "${JOB_IDS[@]}"; do
|
||||
STATUS=$(curl -s "${BASE_URL}/jobs/${JOB_ID}" | jq -r '.status')
|
||||
if [ "$STATUS" = "completed" ] || [ "$STATUS" = "failed" ]; then
|
||||
((COMPLETED++))
|
||||
fi
|
||||
done
|
||||
|
||||
echo " 进度: ${COMPLETED}/${TOTAL} 任务完成"
|
||||
|
||||
# 显示当前并发状态
|
||||
CONCURRENCY=$(curl -s "${BASE_URL}/jobs/concurrency/status")
|
||||
echo " 并发状态: $(echo "$CONCURRENCY" | jq -c '.')"
|
||||
|
||||
if [ $COMPLETED -lt $TOTAL ]; then
|
||||
sleep 2
|
||||
fi
|
||||
done
|
||||
echo ""
|
||||
|
||||
# 6. 查询最终并发状态
|
||||
echo "6. 查询最终并发状态..."
|
||||
curl -s "${BASE_URL}/jobs/concurrency/status" | jq '.'
|
||||
echo ""
|
||||
|
||||
# 7. 显示任务结果统计
|
||||
echo "7. 任务结果统计..."
|
||||
COMPLETED_COUNT=0
|
||||
FAILED_COUNT=0
|
||||
|
||||
for JOB_ID in "${JOB_IDS[@]}"; do
|
||||
STATUS=$(curl -s "${BASE_URL}/jobs/${JOB_ID}" | jq -r '.status')
|
||||
if [ "$STATUS" = "completed" ]; then
|
||||
((COMPLETED_COUNT++))
|
||||
elif [ "$STATUS" = "failed" ]; then
|
||||
((FAILED_COUNT++))
|
||||
fi
|
||||
done
|
||||
|
||||
echo " 总任务数: ${TOTAL}"
|
||||
echo " 成功: ${COMPLETED_COUNT}"
|
||||
echo " 失败: ${FAILED_COUNT}"
|
||||
echo ""
|
||||
|
||||
echo "=== 测试完成 ==="
|
||||
39
scripts/test_metrics_filtering.sh
Executable file
39
scripts/test_metrics_filtering.sh
Executable file
@@ -0,0 +1,39 @@
|
||||
#!/bin/bash
|
||||
# 测试指标过滤和路径规范化
|
||||
|
||||
echo "=== 测试指标过滤和路径规范化 ==="
|
||||
echo ""
|
||||
|
||||
# 启动服务（假设已经在运行）
|
||||
BASE_URL="http://localhost:8000"
|
||||
|
||||
echo "1. 访问健康检查端点（应该被跳过，不记录指标）"
|
||||
curl -s "$BASE_URL/healthz" > /dev/null
|
||||
curl -s "$BASE_URL/readyz" > /dev/null
|
||||
echo " ✓ 已访问 /healthz 和 /readyz"
|
||||
echo ""
|
||||
|
||||
echo "2. 访问普通端点（应该记录指标）"
|
||||
curl -s -X POST "$BASE_URL/invoke" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"number": 17}' > /dev/null
|
||||
echo " ✓ 已访问 POST /invoke"
|
||||
echo ""
|
||||
|
||||
echo "3. 访问任务端点（应该规范化为 /jobs/{job_id}）"
|
||||
curl -s "$BASE_URL/jobs/a1b2c3d4e5f6" > /dev/null
|
||||
curl -s "$BASE_URL/jobs/xyz123456789" > /dev/null
|
||||
echo " ✓ 已访问 GET /jobs/a1b2c3d4e5f6 和 GET /jobs/xyz123456789"
|
||||
echo ""
|
||||
|
||||
echo "4. 查看指标输出"
|
||||
echo " 查找 http_requests_total 指标："
|
||||
curl -s "$BASE_URL/metrics" | grep 'http_requests_total{' | grep -v '#'
|
||||
echo ""
|
||||
echo " 预期结果："
|
||||
echo " - 应该看到 endpoint=\"/invoke\" 的记录"
|
||||
echo " - 应该看到 endpoint=\"/jobs/{job_id}\" 的记录（而不是具体的 job_id）"
|
||||
echo " - 不应该看到 endpoint=\"/healthz\" 或 endpoint=\"/readyz\" 的记录"
|
||||
echo " - 不应该看到 endpoint=\"/metrics\" 的记录"
|
||||
echo ""
|
||||
echo "=== 测试完成 ==="
|
||||
100
scripts/verify_loki.sh
Executable file
100
scripts/verify_loki.sh
Executable file
@@ -0,0 +1,100 @@
|
||||
#!/bin/bash
|
||||
# Loki 集成验证脚本
|
||||
|
||||
set -e
|
||||
|
||||
echo "========================================="
|
||||
echo "Loki 日志收集系统验证"
|
||||
echo "========================================="
|
||||
echo ""
|
||||
|
||||
# 颜色定义
|
||||
GREEN='\033[0;32m'
|
||||
RED='\033[0;31m'
|
||||
YELLOW='\033[1;33m'
|
||||
NC='\033[0m' # No Color
|
||||
|
||||
# 检查服务状态
|
||||
echo "1. 检查服务状态..."
|
||||
echo "-------------------"
|
||||
docker-compose ps
|
||||
|
||||
echo ""
|
||||
echo "2. 检查 Loki 健康状态..."
|
||||
echo "-------------------"
|
||||
if curl -s http://localhost:3100/ready | grep -q "ready"; then
|
||||
echo -e "${GREEN}✓ Loki 服务正常${NC}"
|
||||
else
|
||||
echo -e "${RED}✗ Loki 服务异常${NC}"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "3. 检查 Promtail 健康状态..."
|
||||
echo "-------------------"
|
||||
if curl -s http://localhost:9080/ready | grep -q "ready"; then
|
||||
echo -e "${GREEN}✓ Promtail 服务正常${NC}"
|
||||
else
|
||||
echo -e "${RED}✗ Promtail 服务异常${NC}"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "4. 生成测试日志..."
|
||||
echo "-------------------"
|
||||
curl -X POST http://localhost:8111/invoke \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"algorithm": "PrimeChecker", "params": {"number": 17}}' \
|
||||
-s -o /dev/null -w "HTTP Status: %{http_code}\n"
|
||||
|
||||
echo ""
|
||||
echo "5. 等待日志收集 (5秒)..."
|
||||
sleep 5
|
||||
|
||||
echo ""
|
||||
echo "6. 查询 Loki 日志..."
|
||||
echo "-------------------"
|
||||
LOGS=$(curl -G -s "http://localhost:3100/loki/api/v1/query_range" \
|
||||
--data-urlencode 'query={job="functional-scaffold-app"}' \
|
||||
--data-urlencode 'limit=5')
|
||||
|
||||
if echo "$LOGS" | jq -e '.data.result | length > 0' > /dev/null 2>&1; then
|
||||
echo -e "${GREEN}✓ 成功查询到日志${NC}"
|
||||
echo ""
|
||||
echo "最近的日志条目："
|
||||
echo "$LOGS" | jq -r '.data.result[0].values[-1][1]' | head -3
|
||||
else
|
||||
echo -e "${YELLOW}⚠ 暂时没有查询到日志，可能需要等待更长时间${NC}"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "7. 检查 Grafana 数据源..."
|
||||
echo "-------------------"
|
||||
DATASOURCES=$(curl -s -u admin:admin http://localhost:3000/api/datasources)
|
||||
if echo "$DATASOURCES" | jq -e '.[] | select(.name == "Loki")' > /dev/null 2>&1; then
|
||||
echo -e "${GREEN}✓ Loki 数据源已配置${NC}"
|
||||
else
|
||||
echo -e "${RED}✗ Loki 数据源未配置${NC}"
|
||||
fi
|
||||
|
||||
if echo "$DATASOURCES" | jq -e '.[] | select(.name == "Prometheus")' > /dev/null 2>&1; then
|
||||
echo -e "${GREEN}✓ Prometheus 数据源已配置${NC}"
|
||||
else
|
||||
echo -e "${RED}✗ Prometheus 数据源未配置${NC}"
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "========================================="
|
||||
echo "验证完成！"
|
||||
echo "========================================="
|
||||
echo ""
|
||||
echo "访问地址："
|
||||
echo " - Grafana: http://localhost:3000 (admin/admin)"
|
||||
echo " - Loki: http://localhost:3100"
|
||||
echo " - Promtail: http://localhost:9080"
|
||||
echo ""
|
||||
echo "查看日志："
|
||||
echo " 1. 访问 Grafana Explore: http://localhost:3000/explore"
|
||||
echo " 2. 选择 Loki 数据源"
|
||||
echo " 3. 输入查询: {job=\"functional-scaffold-app\"}"
|
||||
echo ""
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
from fastapi import Header, HTTPException
|
||||
from typing import Optional
|
||||
from ..core.tracing import set_request_id, generate_request_id
|
||||
from ..core.tracing import set_request_id, generate_request_id, get_request_id as get_current_request_id
|
||||
|
||||
|
||||
async def get_request_id(x_request_id: Optional[str] = Header(None)) -> str:
|
||||
@@ -15,6 +15,12 @@ async def get_request_id(x_request_id: Optional[str] = Header(None)) -> str:
|
||||
Returns:
|
||||
str: 请求ID
|
||||
"""
|
||||
# 先检查 ContextVar 中是否已经有 request_id（由中间件设置）
|
||||
existing_request_id = get_current_request_id()
|
||||
if existing_request_id:
|
||||
return existing_request_id
|
||||
|
||||
# 如果没有，则从请求头获取或生成新的
|
||||
request_id = x_request_id or generate_request_id()
|
||||
set_request_id(request_id)
|
||||
return request_id
|
||||
|
||||
@@ -23,6 +23,8 @@ class Settings(BaseSettings):
|
||||
# 日志配置
|
||||
log_level: str = "INFO"
|
||||
log_format: str = "json"
|
||||
log_file_enabled: bool = False
|
||||
log_file_path: str = "/var/log/app/app.log"
|
||||
|
||||
# 指标配置
|
||||
metrics_enabled: bool = True
|
||||
|
||||
@@ -2,14 +2,39 @@
|
||||
|
||||
import logging
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
from logging.handlers import RotatingFileHandler
|
||||
from pythonjsonlogger.json import JsonFormatter
|
||||
|
||||
from .tracing import get_request_id
|
||||
|
||||
|
||||
class RequestIdFilter(logging.Filter):
|
||||
"""自动添加 request_id 到日志记录的过滤器"""
|
||||
|
||||
def filter(self, record: logging.LogRecord) -> bool:
|
||||
"""
|
||||
为日志记录添加 request_id 字段
|
||||
|
||||
Args:
|
||||
record: 日志记录
|
||||
|
||||
Returns:
|
||||
bool: 总是返回 True（不过滤任何日志）
|
||||
"""
|
||||
# 从 ContextVar 中获取 request_id
|
||||
request_id = get_request_id()
|
||||
# 添加到日志记录中，如果没有则设置为 None
|
||||
record.request_id = request_id if request_id else "-"
|
||||
return True
|
||||
|
||||
|
||||
def setup_logging(
|
||||
level: str = "INFO",
|
||||
format_type: str = "json",
|
||||
logger_name: Optional[str] = None,
|
||||
file_path: Optional[str] = None,
|
||||
) -> logging.Logger:
|
||||
"""
|
||||
配置日志系统
|
||||
@@ -18,6 +43,7 @@ def setup_logging(
|
||||
level: 日志级别 (DEBUG, INFO, WARNING, ERROR, CRITICAL)
|
||||
format_type: 日志格式 ('json' 或 'text')
|
||||
logger_name: 日志器名称，None表示根日志器
|
||||
file_path: 日志文件路径，None表示不写入文件
|
||||
|
||||
Returns:
|
||||
logging.Logger: 配置好的日志器
|
||||
@@ -28,23 +54,45 @@ def setup_logging(
|
||||
# 清除现有处理器
|
||||
logger.handlers.clear()
|
||||
|
||||
# 创建控制台处理器
|
||||
handler = logging.StreamHandler(sys.stdout)
|
||||
handler.setLevel(getattr(logging, level.upper()))
|
||||
|
||||
# 设置格式
|
||||
if format_type == "json":
|
||||
formatter = JsonFormatter(
|
||||
"%(asctime)s %(name)s %(levelname)s %(message)s",
|
||||
"%(asctime)s %(name)s %(levelname)s %(message)s %(request_id)s",
|
||||
timestamp=True,
|
||||
)
|
||||
else:
|
||||
formatter = logging.Formatter(
|
||||
"%(asctime)s - %(name)s - %(levelname)s - %(message)s",
|
||||
"%(asctime)s - %(name)s - %(levelname)s - [%(request_id)s] - %(message)s",
|
||||
datefmt="%Y-%m-%d %H:%M:%S",
|
||||
)
|
||||
|
||||
handler.setFormatter(formatter)
|
||||
logger.addHandler(handler)
|
||||
# 创建 RequestIdFilter
|
||||
request_id_filter = RequestIdFilter()
|
||||
|
||||
# 创建控制台处理器
|
||||
console_handler = logging.StreamHandler(sys.stdout)
|
||||
console_handler.setLevel(getattr(logging, level.upper()))
|
||||
console_handler.setFormatter(formatter)
|
||||
console_handler.addFilter(request_id_filter)
|
||||
logger.addHandler(console_handler)
|
||||
|
||||
# 创建文件处理器（如果指定了文件路径）
|
||||
if file_path:
|
||||
# 确保日志目录存在
|
||||
log_dir = Path(file_path).parent
|
||||
log_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 创建 RotatingFileHandler
|
||||
# 最大 100MB，保留 5 个备份
|
||||
file_handler = RotatingFileHandler(
|
||||
file_path,
|
||||
maxBytes=100 * 1024 * 1024, # 100MB
|
||||
backupCount=5,
|
||||
encoding="utf-8",
|
||||
)
|
||||
file_handler.setLevel(getattr(logging, level.upper()))
|
||||
file_handler.setFormatter(formatter)
|
||||
file_handler.addFilter(request_id_filter)
|
||||
logger.addHandler(file_handler)
|
||||
|
||||
return logger
|
||||
|
||||
@@ -9,6 +9,7 @@ import time
|
||||
from .api import router
|
||||
from .config import settings
|
||||
from .core.logging import setup_logging
|
||||
from .core.tracing import generate_request_id, set_request_id, get_request_id
|
||||
from .core.metrics_unified import (
|
||||
get_metrics_manager,
|
||||
incr,
|
||||
@@ -20,7 +21,11 @@ from .core.metrics_unified import (
|
||||
from .core.job_manager import get_job_manager, shutdown_job_manager
|
||||
|
||||
# 设置日志
|
||||
setup_logging(level=settings.log_level, format_type=settings.log_format)
|
||||
setup_logging(
|
||||
level=settings.log_level,
|
||||
format_type=settings.log_format,
|
||||
file_path=settings.log_file_path if settings.log_file_enabled else None,
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# 创建 FastAPI 应用
|
||||
@@ -47,6 +52,10 @@ app.add_middleware(
|
||||
@app.middleware("http")
|
||||
async def log_requests(request: Request, call_next):
|
||||
"""记录所有HTTP请求"""
|
||||
# 从请求头获取或生成 request_id
|
||||
request_id = request.headers.get("x-request-id") or generate_request_id()
|
||||
set_request_id(request_id)
|
||||
|
||||
logger.info(f"Request: {request.method} {request.url.path}")
|
||||
response = await call_next(request)
|
||||
logger.info(f"Response: {response.status_code}")
|
||||
|
||||
Reference in New Issue
Block a user