Files
FunctionalScaffold/src/functional_scaffold/algorithms/base.py
Roog (顾新培) 3254fdc3f0 main:重构指标系统并切换为 Redis 方案
变更内容:
- 重构指标系统实现,支持基于 Redis 的多实例指标管理。
- 替换原有的 Pushgateway 和 Redis Exporter 方案。
- 更新 Prometheus 配置,适配新的指标抓取方式。
- 添加 Redis 指标相关配置和告警规则文件。
- 更新 Dockerfile 和 docker-compose 文件,移除多余服务,精简配置。
- 编写 `metrics_unified.py` 模块及单元测试。
- 修复部分代码中的冗余和格式问题。
2026-02-03 18:38:08 +08:00

76 lines
2.2 KiB
Python

"""算法基类"""
from abc import ABC, abstractmethod
from typing import Any, Dict
import time
import logging
logger = logging.getLogger(__name__)
class BaseAlgorithm(ABC):
"""算法基类,所有算法必须继承此类"""
def __init__(self):
self.name = self.__class__.__name__
self.version = "1.0.0"
@abstractmethod
def process(self, *args, **kwargs) -> Dict[str, Any]:
"""
算法处理逻辑,子类必须实现此方法
Returns:
Dict[str, Any]: 算法处理结果
"""
pass
def execute(self, *args, **kwargs) -> Dict[str, Any]:
"""
执行算法,包含埋点和错误处理
Returns:
Dict[str, Any]: 包含结果和元数据的字典
"""
from ..core.metrics_unified import incr, observe
start_time = time.time()
status = "success"
try:
logger.info(f"Starting algorithm: {self.name}")
result = self.process(*args, **kwargs)
elapsed_time = time.time() - start_time
logger.info(f"Algorithm {self.name} completed successfully in {elapsed_time:.3f}s")
return {
"success": True,
"result": result,
"metadata": {
"algorithm": self.name,
"version": self.version,
"elapsed_time": elapsed_time,
},
}
except Exception as e:
status = "error"
elapsed_time = time.time() - start_time
logger.error(f"Algorithm {self.name} failed: {str(e)}", exc_info=True)
return {
"success": False,
"error": str(e),
"metadata": {
"algorithm": self.name,
"version": self.version,
"elapsed_time": elapsed_time,
},
}
finally:
# 记录算法执行指标
elapsed_time = time.time() - start_time
incr("algorithm_executions_total", {"algorithm": self.name, "status": status})
observe("algorithm_execution_duration_seconds", {"algorithm": self.name}, elapsed_time)