python模拟发送json数据到logstash

Bertha 。 2023-02-16 12:06 41阅读 0赞

### 一、模拟日志数据生成脚本 json\_log.py ###

#!/usr/bin/python
    # -*- coding: UTF-8 -*-
    import datetime
    import json
    import random
    import time
    
    import requests
    
    headers = {
        'Content-Type': 'application/json',
    }
    
    info_list = {'User error': 'ERROR', 'Password ERROR': 'ERROR', 'Login success': 'INFO',
                 'Update success': 'INFO', 'Deletion success': 'INFO', 'Password not null': 'WARN',
                 'Username not null': 'WARN'}
    
    user_list = {1: 'zhangsan', 2: 'lisi', 3: 'wangwu', 4: 'zhaoliu', 5: 'qianqi'}
    
    app_list = ['bulter', 'master-data', 'permission-manager']
    
    path_list = ['/bulter', '/data', '/permission']
    
    method_list = ['select', 'update', 'create', 'delete']
    
    m = 0
    # 模拟发送请求，生成日志数据
    for i in range(1, 1000):
        now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
    
        time_log = random.randrange(10, 35)
    
        # 模拟同一时间生成多条日志信息
        for j in range(1, time_log):
            msg = random.sample(info_list.keys(), 1)[0]
            log_lever = info_list[msg]
            user_id = random.sample(user_list.keys(), 1)[0]
            user_name = user_list[user_id]
            app_name = random.sample(app_list, 1)[0]
            path = random.sample(path_list, 1)[0]
            method = random.sample(method_list, 1)[0]
            data = {'env': 'test', 'timestamp': now, 'logLevel': log_lever, 'source': 'request', 'type': 'metrics',
                    'message': msg, 'app': app_name, 'path': path, 'method': method, 'userId': user_id,
                    'userName': user_name, 'duration': random.randrange(300, 550)}
            # 使用zsx-2.local会报socket.gaierror: [Errno 11001] getaddrinfo failed异常
            # response = requests.post('http://zsx-2.local:9601/', headers=headers, data=json.dumps(data))
            response = requests.post('http://127.0.0.1:9601/', headers=headers, data=json.dumps(data))
            m += 1
            print(m)
    
        time.sleep(random.randrange(1, 5))

### 二、kibana配置 ###

**1. 创建图表**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70][]

**2. 选择线形图**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 1][]

**3. 选择数据源**

![20200609202205424.png][]

**4. 添加X-axis**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 2][]

**5. 配置X-axis**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 3][]

**6. 配置后效果图**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 4][]

**7. 添加Split series配置**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 5][]

**8. 配置后效果图**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 6][]

**9. 配置Split chart**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 7][]

**10. 配置后效果图**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 8][]

**11. 保存图表**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 9][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3pzeDE4MjczMTE3MDAz_size_16_color_FFFFFF_t_70 10][]

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