Dynatrace 从 Linux 服务器调用 shell 脚本

Question

有没有办法使用可以从 Linux 服务器执行的 shell 脚本在 Dynatrace 中创建问题指标？

这里，问题指标意味着，

假设我们正在使用 shell 脚本来检查 Linux 服务器上已部署服务的状态。

那么，

1. 该 Shell 脚本应该能够被 Dynatrace 调用
2. 并且，根据 Shell 脚本的响应，应该能够创建问题。

Answer 1

“问题指标”是什么意思？

您可以通过 Metric API 创建指标，并通过 Events API

创建问题

您可以从 Linux 上的 shell 脚本调用任一端点。如果系统上有 OneAgent，您还可以使用 扩展程序。

Answer 2

import os
import requests
import csv
from datetime import datetime
from datetime import timedelta

# Function to generate date ranges
def generate_date_ranges(days=30):
    date_ranges = []
    for i in range(days):
        from_date = f"-{i+2}d"
        to_date = f"-{i+1}d" if i > 0 else "now"
        date_ranges.append((from_date, to_date))
    return date_ranges

# Generate the date ranges
date_ranges = generate_date_ranges()

# Define the file path for the CSV
file_path = '/Users//Desktop/DailyReport_30days.csv'

# Open the CSV file in append mode
with open(file_path, 'a', newline='') as csvfile:
    csv_writer = csv.writer(csvfile, delimiter=',')
    # Check if the file is empty
    file_empty = os.stat(file_path).st_size == 0
    # Write header only if the CSV is empty
    if file_empty:
        csv_writer.writerow(['Time', 'Seal', 'App', 'Module', 'SLI', 'Service', 'Endpoint', 'Location', 'Exception', 'DataValue'])

    for from_date, to_date in date_ranges:
        # Dynatrace - ServiceServiceAvailPrd
        url_service_avail = f"http://127.0.0.1:5002/api1?from={from_date}&to={to_date}"
        pass_dt_prod = os.environ.get("DT_password_prod")
        headers = {
            'accept': 'application/json',
            'Authorization': f'Api-Token {pass_dt_prod}',
            'Cookie': 'apmroute=xyz'
        }

        try:
            response = requests.get(url_service_avail, headers=headers, verify=False)
            output = response.json()
            result = output.get('value', 0)
            ServiceServiceAvailPrd = round(result, 2)
        except Exception as e:
            ServiceServiceAvailPrd = "_"
            print(f'Error fetching ServiceServiceAvailPrd: {e}')

        # Dynatrace - ServiceSyntheticAvailPrd
        url_synthetic_avail = f"http://127.0.0.1:5002/api2?from={from_date}&to={to_date}"
        try:
            response = requests.get(url_synthetic_avail, headers=headers, verify=False)
            output = response.json()
            result = output.get('value', 0)
            ServiceSyntheticAvailPrd = round(result, 2)
        except Exception as e:
            ServiceSyntheticAvailPrd = "_"
            print(f'Error fetching ServiceSyntheticAvailPrd: {e}')

        # Data to be written to the CSV
        data = [
            {"Key": "Service Availability", "Value": ServiceServiceAvailPrd},
            {"Key": "Synthetic Healthcheck Availability", "Value": ServiceSyntheticAvailPrd},
        ]

        timestamp = datetime.utcnow().strftime('%m/%d/%Y %H:%M UTC')

        # Write data to CSV
        for entry in data:
            key = entry['Key']
            data_value = entry['Value']
            parts = str(data_value).split('$IS$')  # Adjusted this line to handle data values
            for part in parts:
                # Resetting variables
                service = ''
                endpoint = ''
                exception = ''
                value_data = str(data_value)  # Adjusted this line to handle data values

                # Extract service name
                start = part.find('$ServiceName$') + len('$ServiceName$')
                end = part.find('$ServiceName$', start)
                service = part[start:end] if end != -1 else ''

                # Extract endpoint
                start = part.find('$Endpoint$') + len('$Endpoint$')
                end = part.find('$Endpoint$', start)
                endpoint = part[start:end] if end != -1 else ''

                # Extract exception
                start = part.find('$Exception$')
                if start != -1:
                    end = part.find('$Exception$', start + len('$Exception$'))
                    exception = part[start + len('$Exception$'):end] if end != -1 else ''

                csv_writer.writerow([timestamp, 'Seal', 'App', 'Module', 'SLI', service, endpoint, 'Location', exception, value_data])