Roog (顾新培)
31af5e2286
新增内容： - 创建基础项目结构。 - 添加 `.gitignore` 和 `.dockerignore` 文件。 - 编写 `pyproject.toml` 和依赖文件。 - 添加算法模块及示例算法。 - 实现核心功能模块（日志、错误处理、指标）。 - 添加开发和运行所需的相关脚本文件及文档。
112 lines
2.8 KiB
Python
112 lines
2.8 KiB
Python
"""Prometheus 指标模块"""
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from prometheus_client import Counter, Histogram, Gauge, CollectorRegistry
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from functools import wraps
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import time
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from typing import Callable
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# 创建指标注册表
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metrics_registry = CollectorRegistry()
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# 请求计数器
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request_counter = Counter(
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"http_requests_total",
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"Total HTTP requests",
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["method", "endpoint", "status"],
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registry=metrics_registry,
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)
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# 请求延迟直方图
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request_latency = Histogram(
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"http_request_duration_seconds",
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"HTTP request latency",
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["method", "endpoint"],
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registry=metrics_registry,
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)
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# 算法执行计数器
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algorithm_counter = Counter(
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"algorithm_executions_total",
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"Total algorithm executions",
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["algorithm", "status"],
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registry=metrics_registry,
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)
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# 算法执行延迟
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algorithm_latency = Histogram(
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"algorithm_execution_duration_seconds",
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"Algorithm execution latency",
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["algorithm"],
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registry=metrics_registry,
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)
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# 当前处理中的请求数
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in_progress_requests = Gauge(
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"http_requests_in_progress",
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"Number of HTTP requests in progress",
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registry=metrics_registry,
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)
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def track_request(method: str, endpoint: str):
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"""
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装饰器：跟踪HTTP请求指标
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Args:
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method: HTTP方法
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endpoint: 端点路径
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"""
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def decorator(func: Callable):
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@wraps(func)
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async def wrapper(*args, **kwargs):
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in_progress_requests.inc()
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start_time = time.time()
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try:
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result = await func(*args, **kwargs)
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status = "success"
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return result
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except Exception as e:
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status = "error"
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raise e
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finally:
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elapsed = time.time() - start_time
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request_counter.labels(method=method, endpoint=endpoint, status=status).inc()
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request_latency.labels(method=method, endpoint=endpoint).observe(elapsed)
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in_progress_requests.dec()
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return wrapper
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return decorator
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def track_algorithm_execution(algorithm_name: str):
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"""
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装饰器：跟踪算法执行指标
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Args:
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algorithm_name: 算法名称
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"""
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def decorator(func: Callable):
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@wraps(func)
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def wrapper(*args, **kwargs):
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start_time = time.time()
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try:
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result = func(*args, **kwargs)
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status = "success"
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return result
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except Exception as e:
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status = "error"
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raise e
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finally:
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elapsed = time.time() - start_time
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algorithm_counter.labels(algorithm=algorithm_name, status=status).inc()
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algorithm_latency.labels(algorithm=algorithm_name).observe(elapsed)
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return wrapper
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return decorator
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