dkrresource

Dkr Resource

This Python library is designed to monitor and log system resource usage (CPU and RAM) during the execution of a routine. It collects data periodically and stores it in a database, allowing users to track the resource consumption of their applications.

Installation

pip install dkrresource

Configuration

To use ResourceManager, configure the following parameters:

• routine_name: Name of the routine being monitored.
• start_date: Start time of the routine.
• routine_path: Path where the routine is running.
• db_str: Database connection string.
• t_channel: Teams channel for error reporting.
• t_url: Teams webhook URL for reporting errors.

Usage

from datetime import datetime as dt
from resourcemanager import ResourceManager


routine_name = "DataPipeline"
start_date = dt.now()
routine_path = "/path/to/routine"
db_str = "postgresql://user:password@localhost/dbname"
t_channel = "resource-alerts"
t_url = "https://teams.webhook.url"


# Initialize the ResourceManager
rm = ResourceManager(
    routine_name,
    start_date,
    routine_path,
    db_str,
    t_channel,
    t_url
)

# Start resource monitoring
rm.start_collection()

# Execute some processing...

# Stop collecting and log final data
rm.finish_collection()

Database Logging

The library logs the following resource metrics in a database:

• Maximum CPU usage
• Average CPU usage
• Maximum RAM usage
• Average RAM usage

Error Reporting

If an issue occurs during execution, ResourceManager sends an error notification to a Microsoft Teams channel using the provided webhook.

License

This project is licensed under the MIT License.