https://github.com/taleblou/servermonitoring_python

This Python script monitors a URL's performance, logging metrics like ping time, loading time, response size, status code, and errors into a CSV file every 30 seconds. Ideal for tracking website health and performance over time. Customizable and easy to use.
https://github.com/taleblou/servermonitoring_python

monitors python server

Last synced: 6 months ago
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This Python script monitors a URL's performance, logging metrics like ping time, loading time, response size, status code, and errors into a CSV file every 30 seconds. Ideal for tracking website health and performance over time. Customizable and easy to use.

• Host: GitHub
• URL: https://github.com/taleblou/servermonitoring_python
• Owner: taleblou
• License: mit
• Created: 2025-01-15T17:10:47.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-01-15T17:13:26.000Z (9 months ago)
• Last Synced: 2025-02-08T14:16:11.863Z (8 months ago)
• Topics: monitors, python, server
• Language: Python
• Homepage: https://taleblou.ir/
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## **How It Works**

1. The script monitors a URL specified in the `url` variable.  

   * Default: `https://www.taleblou.ir/`  

2. It runs in an infinite loop, collecting data every 30 seconds.  

3. The collected metrics include:  

   * **Date and Time**: Timestamp of the data collection.  

   * **Ping Time**: Time taken to ping the server in milliseconds.  

   * **Loading Time**: Time taken to load the webpage in seconds.  

   * **Response Size**: The content length of the HTTP response in bytes.  

   * **Status Code**: The HTTP status code returned by the server.  

   * **Error Message**: Details of any error encountered during the request.  

4. The data is appended to a CSV file named `url_reports.csv`.  

   * If the file doesn't exist, headers are added automatically.

## **Usage**

1. Clone the repository or copy the script into your project directory.  

2. Modify the `url` variable to the URL you want to monitor.  

3. Run the script:  

   bash  

   Copy code  

   `python main.py`  

     

4. The script will create (or update) a CSV file named `url_reports.csv` with the collected data.

## **CSV Format**

The generated CSV file contains the following columns:

* `Date`: Timestamp of the monitoring event.  

* `Ping Time (ms)`: Ping response time in milliseconds.  

* `Loading Time (s)`: Time taken to load the page in seconds.  

* `Response Size (bytes)`: Size of the HTTP response in bytes.  

* `Status Code`: HTTP status code returned by the server.  

* `Error Message`: Error details, if any.

## **Customization**

* **Change Monitoring Interval**: Update the `time.sleep(30)` line to modify the check frequency.  

* **Specify a Different Output File**: Change the `csv_file` variable to use a different filename.

## **Notes**

* The script will continue running until manually stopped.  

* Ensure you have proper permissions to write to the directory where the CSV file is stored.  

* The script handles missing ping times and response sizes by logging `NaN` values.

## **License**

This project is licensed under the MIT License. Feel free to use and modify it as needed.

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``Feel free to adjust the `README.md` according to any specific details or extra context you'd like to include!``