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zhangtao
c0733d9861
1. 重构SCSS样式结构，将原有分散的样式文件整合到custom目录下，统一使用@use替代@import 2. 删除冗余的全局样式文件，将样式逻辑内联到对应组件或集中到core目录 3. 新增DOMPurify依赖，对富文本内容添加XSS防护 4. 修复metrics端点暴露的兼容性问题，优化启动banner样式 5. 移除无用的权限校验代码，重构工作流组件路径与命名 6. 优化样式混合宏与响应式布局，修复部分组件样式冲突
85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
"""Prometheus Metrics 配置
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集成 prometheus-fastapi-instrumentator，自动采集 HTTP 请求指标，
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暴露 /metrics 端点供 Prometheus 抓取。
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采集指标：
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- http_requests_total: 请求总数（按 method、endpoint、status 分组）
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- http_request_duration_seconds: 请求延迟直方图
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- http_requests_in_progress: 当前处理中的请求数
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"""
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from fastapi import FastAPI
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from fastapi.responses import Response
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from prometheus_client import CONTENT_TYPE_LATEST, generate_latest
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from prometheus_fastapi_instrumentator import Instrumentator, metrics
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def setup_metrics(app: FastAPI) -> None:
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"""初始化 Prometheus 指标采集
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自动为所有 HTTP 端点采集请求指标，暴露 /metrics 端点。
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参数:
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app: FastAPI 应用实例
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返回:
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None
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"""
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instrumentator = Instrumentator(
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should_group_status_codes=True,
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should_ignore_untemplated=True,
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should_respect_env_var=False,
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should_instrument_requests_inprogress=True,
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excluded_handlers=[
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"/metrics",
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"/health",
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"/health/live",
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"/health/ready",
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"/docs",
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"/redoc",
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"/ljdoc",
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"/openapi.json",
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"/static/.*",
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"/favicon.ico",
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],
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inprogress_name="http_requests_in_progress",
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inprogress_labels=True,
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)
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# 添加自定义指标
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instrumentator.add(
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metrics.request_size(
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should_include_handler=True,
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should_include_method=True,
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should_include_status=True,
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metric_name="http_request_size_bytes",
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)
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).add(
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metrics.response_size(
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should_include_handler=True,
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should_include_method=True,
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should_include_status=True,
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metric_name="http_response_size_bytes",
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)
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).add(
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metrics.latency(
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metric_name="http_request_duration_seconds",
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metric_doc="HTTP 请求延迟（秒）",
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)
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).add(
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metrics.requests(
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metric_name="http_requests_total",
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metric_doc="HTTP 请求总数",
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)
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)
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# 启动采集
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instrumentator.instrument(app)
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# 手动注册 /metrics 端点，避免 prometheus_fastapi_instrumentator.expose()
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# 的 response_class=None 与 FastAPI OpenAPI 生成不兼容的问题
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@app.get("/metrics", include_in_schema=False)
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async def metrics_endpoint():
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return Response(content=generate_latest(), media_type=CONTENT_TYPE_LATEST)
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