如何合并含相同related_id的日志并计算timestamp时间差（请求延迟）

需求说明 #

将带有相同related_id的请求、响应日志合并，计算请求的延迟（响应时间减去请求时间），并输出指定格式的结果。

示例输入 #

2023-07-19 00:00:00 request related_id 123
2023-07-19 00:00:05 response related_id 123

期望输出 #

related_id 123 latency 5s

实现思路及示例代码 #

核心逻辑是通过related_id关联请求与响应日志，计算时间差：

1. 解析每条日志的时间戳、日志类型和related_id
2. 用字典存储每个related_id对应的请求时间戳
3. 匹配到响应日志时，计算时间差并输出结果

以下是Python实现示例：

from datetime import datetime

# 可替换为读取日志文件的逻辑
logs = [
    "2023-07-19 00:00:00 request related_id 123",
    "2023-07-19 00:00:05 response related_id 123"
]

request_records = {}

for line in logs:
    parts = line.split()
    time_str = f"{parts[0]} {parts[1]}"
    log_type = parts[2]
    rid = parts[4]
    
    current_time = datetime.strptime(time_str, "%Y-%m-%d %H:%M:%S")
    
    if log_type == "request":
        request_records[rid] = current_time
    elif log_type == "response" and rid in request_records:
        latency = int((current_time - request_records[rid]).total_seconds())
        print(f"related_id {rid} latency {latency}s")

内容的提问来源于stack exchange，提问作者lee_zone