nginx 每天各IP访问次数记录统计

此文章主要介绍了，在nginx代理的情况下，统计当天IP的出现次数，并且生成表格的相关步骤

1.nginx 配置的修改
在/etc/nginx/nginx.conf

 

http {
    access_log xxxxxxx/access.log;
    error_log xxxxxxx/error.log;
}

 

2.定时执行的shell脚本
该脚本主要在每天的0点自动执行IPStatistics.py来记录昨天的IP访问次数，然后对昨天的日志进行备份，并且备份最长时间为maximum_retention_date天；

cut_nginx_log.sh脚本内容如下（分割线上方的变量我们可以根据需要自行配置）：

 

# function:cut nginx log files
# The original log file path of nginx.conf configuration
log_files_from="xxxxxxx/nginxLog/"
# Path of newly saved log file
log_files_to="xxxxxxx/nginxLog/historyLog/"
# Path to IPStatistics.py script
python_file="xxxxxxxxx/nginxLog/script/IPStatistics.py"
# File name of the log
log_name="access"
# Maximum access.log date saving time, for example, 7 days
maximum_retention_date=`date -d "7 day ago" "+%Y-%m-%d"`


backup_end_time=`date -d yesterday +%Y-%m-%d`
file=${log_files_from}${log_name}.log

if [ -f "$file" ];then
# run python file to generate ip statistics csv, backup files
    python3 ${python_file}&&cp ${log_files_from}${log_name}.log ${log_files_to}${log_name}_${backup_end_time}.log
    :>${log_files_from}${log_name}.log
# delete n days ago nginx log files 
    rm -rf ${log_files_to}${log_name}_${maximum_retention_date}.log
# restart nginx
    systemctl restart nginx
fi

 

 
定时执行脚本需要进行如下操作：

 

# 1.赋予cut_nginx_log.sh执行权限
chmod +x xxxxxx/cut_nginx_log.sh

# 2.使用 crontab 添加定时任务
# (1) 打开定时任务
crontab -e
# (2) 添加定时任务，这里每天凌晨0点执行一次。
00 00 * * * /bin/sh xxxxxx/cut_nginx_log.sh
# (3) 查看定时任务
crontab -l 

 

 
3.统计当天内的IP访问次数的python 脚本
通过处理access.log的记录，生成IP统计csv文件

 

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import os.path
import re
import datetime

# nginx access.log文件的位置
log_Path = r"xxxxxxx/access.log"
# 分析access.log后得到的当天Ip访问次数结果，记录的文件路径
statistical_ip_result_file = r"xxxxxxx/statistical_ip_result.csv"
# 多长时间内的IP访问算作一次，单位是小时（例如从某IP当天第一次访问开始，在一个小时内，如果该IP再次访问，依然算作一次访问）
time_interval = 1
# csv文件中最长的IP访问次数保留时间
maximum_retention_time = 180

# 用于解析 access.log的正则表达式（解析为ip,time）
obj = re.compile(r'(?P<ip>.*?)- - \[(?P<time>.*?)\] ')
# 用于存放日志的分析结果(ip,(time1,time2,time3...))
ip_dict = {}
# 用于存放当天日志的ip访问次数
ip_count = {}



class Access(object):

    def __init__(self, log_path):
        self.IP_database = {}
        self.log_path = log_path

    def analyze_log(self):
        """记录IP地址和时间"""
        with open(self.log_path) as f:
            Log_data = f.readlines()
            try:
                for log_data in Log_data:
                    print(log_data)
                    result = obj.match(log_data)
                    ip = result.group("ip")
                    time = result.group("time")
                    time = time.replace(" +0000", "")
                    t = datetime.datetime.strptime(time, "%d/%b/%Y:%H:%M:%S")
                    if ip_dict.get(ip) is None:
                        ip_dict[ip] = []
                    ip_dict[ip].append(t)
            except Exception as e:
                print(e)

    def statistical_ip(self):
        """分析IP出现的次数（time_interval个小时内连续的访问算做一次），从日志文件开始进行记录"""
        for item in ip_dict.items():
            ip = item[0]
            time_list = item[1]
            start_time = time_list[0]
            ip_count[ip] = ip_count.get(ip, 0) + 1
            print(ip)
            print(ip_count[ip])
            for time in time_list:
                if (time - start_time).seconds > 60 * 60 * time_interval:
                    ip_count[ip] = ip_count.get(ip) + 1
                    start_time = time

    def delete_expired_data(self):
        """超过maximum_retention_time天的记录会进行删除"""
        if os.path.exists(statistical_ip_result_file) is False:
            print("退出delete")
            return
        new_data = []
        with open(statistical_ip_result_file, 'r+', encoding='utf-8') as f:
            current_time = datetime.datetime.now()
            new_data.append(f.readline())
            for line in f.readlines():
                record_time = datetime.datetime.strptime(line.split(',')[3].strip(), "%Y-%m-%d")
                if (current_time - record_time).days <= maximum_retention_time:
                    new_data.append(line)
        with open(statistical_ip_result_file, 'w', encoding='utf-8') as f:
            f.writelines(new_data)
            f.close()

    def write_file(self):
        """将昨天的IP出现次数写到txt文件中，然后再将txt转化为csv（表格）"""
        print("enter write_file")
        if len(ip_count) == 0:
            print("ip count=0 return")
            return
        file_exists = os.path.exists(statistical_ip_result_file)
        number = 1
        if file_exists is True:
            print("csv file is exists")
            with open(statistical_ip_result_file, 'r', encoding='utf-8') as f:
                number = int(f.readlines()[-1].split(',')[0]) + 1
        with open(statistical_ip_result_file, 'a+', encoding='utf-8') as f:
            if file_exists is False:
                print("file is not exiests,and write row")
                f.write("number,ip,count,data\n")
            yesterday = (datetime.date.today() + datetime.timedelta(days=-1)).strftime("%Y-%m-%d")
            for item in ip_count.items():
                ip = item[0]
                count = item[1]
                f.write(str(number) + "," + ip + "," + str(count) + "," + str(yesterday) + "\n")
                number = number + 1

    def ip(self):
        self.analyze_log()
        self.statistical_ip()
        self.delete_expired_data()
        self.write_file()


if __name__ == '__main__':
    IP = Access(log_Path)
    IP.ip()

 

最后生成的csv表格：

 

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