API Monitor (api-up-test)

This Python script measures the latency of API calls and generates a CSV report.

Classes

• APIMonitor: This class takes a list of API data and provides a method to measure the latency of the API calls.

Functions

• read_api_data_from_json(file_path): Reads API data from a JSON file.
• generate_csv_report(latency_results, output_file): Generates a CSV report from the latency results.
• main(): The main function that ties everything together.

How to Run

1. Ensure you have Python 3 installed.
2. Install the required packages with pip install -r requirements.txt.
3. Run the script with python main.py.

Input

The script expects a JSON file named apis.json in the same directory. The JSON file should contain an array of objects, each representing an API to monitor. Each object should have a url property and may optionally have a method and data property.

Example:

{
    "apis": [
        {
            "url": "https://api.example.com",
            "method": "GET"
        },
        {
            "url": "https://api.example.com",
            "method": "POST",
            "data": {
                "key": "value"
            }
        }
    ]
}

Output

The script generates a CSV file named api_report.csv in the same directory. The CSV file contains the following columns: API Name, Status, Latency (seconds), Response/Error.

Future Goals

• To add custom auth support to the APIs

• To write the report to a db and add a function to compare the current result and previous result and generate that report too