Skip to main content

Track and visualize GPU energy consumption using PyNVML, with MongoDB integration.

Project description

EnergyMonitor

Overview

EnergyMonitor is a Python-based tool that tracks GPU power consumption using NVIDIA Management Library (NVML) and stores energy usage data in a MongoDB database. It allows users to log in, track energy consumption per project, and store run-specific energy data.

Features

  • User Authentication: Secure login using bcrypt.
  • Energy Monitoring: Tracks GPU power usage using NVML.
  • Project-Based Tracking: Associates energy consumption data with different projects.
  • Database Storage: Saves energy consumption history in MongoDB.

Installation Requirements

Before using the tool, install the required dependencies:

pip install pymongo bcrypt pynvml

Ensure you have:

  • A MongoDB database (e.g., MongoDB Atlas or a local instance).
  • NVIDIA GPU and drivers installed.
  • NVML library (included in the NVIDIA drivers).

Usage

1. Import and Initialize

from energy_monitor import EnergyMonitor
monitor = EnergyMonitor()

2. Login

Before tracking energy consumption, log in with:

monitor.login("username", "password")

3. Start Monitoring

Start tracking energy consumption for a specific project:

monitor.start("ProjectName")

If the project does not exist, it prompts the user to create one.

4. Stop Monitoring

To stop tracking and save energy data:

monitor.stop()

This logs the total energy used and duration to the database.

5. Update Energy Consumption

This function continuously updates power consumption:

monitor.update_energy()

This should be run in a loop while monitoring is active.

Functions

login(username, password)

Inputs:

  • username (str): The username of the user.
  • password (str): The corresponding password.

Functionality:

  • Authenticates the user with a hashed password.
  • Stores the user ID after successful login.

start(project_name)

Inputs:

  • project_name (str): Name of the project to track energy usage.

Functionality:

  • Initializes GPU energy monitoring.
  • Checks if the project exists; if not, prompts user to create one.

stop()

Functionality:

  • Stops monitoring and logs energy consumption data.
  • Stores run details like duration, timestamp, and energy used.

update_energy()

Functionality:

  • Continuously updates GPU energy consumption while running.
  • Runs in a loop to track power usage per second.

Database Structure

Each user document in MongoDB follows this structure:

{
    "_id": ObjectId("..."),
    "username": "user123",
    "password": "hashed_password",
    "projects": {
        "ProjectName": {
            "run1": {
                "timestamp": "2025-03-08T12:00:00Z",
                "duration": 3600,
                "energy": 500000,
                "energy_kwh": 0.138
            }
        }
    }
}

Notes

  • Make sure you log in before starting monitoring.
  • Ensure your GPU supports NVML.
  • The program exits on incorrect login.

License

This project is open-source. Feel free to modify and extend it!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

energycnv-1.0.11.tar.gz (4.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

energycnv-1.0.11-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file energycnv-1.0.11.tar.gz.

File metadata

  • Download URL: energycnv-1.0.11.tar.gz
  • Upload date:
  • Size: 4.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for energycnv-1.0.11.tar.gz
Algorithm Hash digest
SHA256 e9e50744c58c4b76a2380c9c9ba5aa8cf997ec48852c9aea16a28fc5e5781744
MD5 017850b3696848ade156ca6b47bbc801
BLAKE2b-256 1592a5dd2ee087b25dbe0d8a02492e47f45bb58813697e79e3bd8405088e39c9

See more details on using hashes here.

File details

Details for the file energycnv-1.0.11-py3-none-any.whl.

File metadata

  • Download URL: energycnv-1.0.11-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for energycnv-1.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 603226f465517ad704f3d6d383216d3b8961e87fc16261ae5f7e90ce5ecb8e12
MD5 b4f97ba46555ce6957b0074fdc81344d
BLAKE2b-256 68da097621c402debaa038c663b42fb6abcc534910ff2348f6ac5fbd93977fb1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page