Django实战-分析日志

# 读取统计的 log 内容
data_file = os.path.join(settings.BASE_DIR, "log", "statistics.log")
if not os.path.exists(data_file):
    logger.warning("file not exists. file=[%s]" % data_file)
    return

result = {}
with open(data_file, "r") as data_file:
    for line in data_file:
        # 去掉前后换行符
        line = line.strip()
        # 用空格作为分割
        content = line.split(" ")[2]
        content_list = content.split(settings.STATISTICS_SPLIT_FLAG)
        # 取出时间，用等号作为分割，取后面一项，前面和后面的中括号去掉
        log_time = int(content_list[0].split("=")[1][1:-1])
        path = content_list[1].split("=")[1][1:-1]
        full_path = content_list[2].split("=")[1][1:-1]
        cost = float(content_list[3].split("=")[1][1:-1])

        # 记录数据
        # path: value_list
        if path not in result.keys():
            result[path] = []
        result[path].append(cost)

# 最大值、最小值、平均值
report_content = []
for k, v_list in result.items():
    # 请求次数，时间的次数
    count = len(v_list)
    # 最大值
    v_max = max(v_list)
    # 最小值
    v_min = min(v_list)
    # 平均值
    v_avg = sum(v_list) * 1.00 / count
    # k 请求地址，从右边40
    content = "%-40s COUNT: %d  MAX_TIME: %.4f(s) MIN_TIME: %.4f(s) AVG_TIME: %.4f(s)" % (k, count, v_max, v_min, v_avg)
    report_content.append(content)