Environment Variables in Actions

If your Action script is designed to use environment variables (e.g., for thresholds or other dynamic values), OpenObserve gives you the option to define those variables while configuring the Action.

You can use environment variables to pass information into your script, without writing it directly in the Python script.

Example

The following Python script processes a list of log records and returns the distinct Kubernetes pod names and Docker IDs, but only if the number of distinct pod names meets a minimum threshold set by an environment variable.

import os  
import logging  
from typing import List, Dict, Any  
from distinct import distinct

def main(data: List[Dict[str, Any]], logger: logging.Logger) -> List[Dict[str, Any]]:  
    logger.info("Starting log transformation")

    # Get environment variable  
    min_count_str = os.getenv("MIN_DISTINCT_THRESHOLD", "0")  
    try:  
        min_count = int(min_count_str)  
    except ValueError:  
        logger.error("Invalid MIN_DISTINCT_THRESHOLD. Must be an integer.")  
        return []

    # Use helper function  
    pod_names, pod_count = distinct([item.get("kubernetes_pod_name") for item in data])  
    docker_ids, docker_count = distinct([item.get("kubernetes_docker_id") for item in data])

    logger.info(f"Found {pod_count} distinct pod names")  
    logger.info(f"Found {docker_count} distinct docker IDs")

    # Only return result if pod count exceeds threshold  
    if pod_count < min_count:  
        logger.info(f"Pod count below threshold ({min_count}). Skipping output.")  
        return []

    return [{  
        "distinct_pod_names": pod_names,  
        "distinct_pod_count": pod_count,  
        "distinct_docker_ids": docker_ids,  
        "distinct_docker_count": docker_count  
    }]  

While creating or editing the Action, in the Environment Variables section, you can set:
MIN_DISTINCT_THRESHOLD = 3
This ensures that your script only returns results if at least 3 distinct pod names are found.