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.
  • Automatic Timing: Energy tracking automatically starts and stops when monitoring begins and ends.

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.
  • The timer automatically starts when monitoring begins.

4. Stop Monitoring

To stop tracking and save energy data:

monitor.stop()
  • This automatically calculates the total energy used and duration.
  • Data is stored in the database.

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.
  • Automatically starts the timer when monitoring begins.

stop()

Functionality:

  • Automatically stops the timer and calculates energy consumption.
  • Stores run details like duration, timestamp, and energy used.
  • Saves data in MongoDB.

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.
  • Timing is handled automatically; no need for manual tracking.

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-1.0.21.tar.gz (4.7 kB view details)

Uploaded Source

Built Distribution

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

energycnv-1.0.21-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file energycnv-1.0.21.tar.gz.

File metadata

  • Download URL: energycnv-1.0.21.tar.gz
  • Upload date:
  • Size: 4.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for energycnv-1.0.21.tar.gz
Algorithm Hash digest
SHA256 6f30cb0a195f7862aa423b5ad97f86d534482e82528d35140f1f9d845e01d80a
MD5 0de1d84df411db58b32be14c82096bbb
BLAKE2b-256 25caec299241a7091f1ffa4804c67fdcb9d755593e27893b7b90654900fbaf53

See more details on using hashes here.

File details

Details for the file energycnv-1.0.21-py3-none-any.whl.

File metadata

  • Download URL: energycnv-1.0.21-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-1.0.21-py3-none-any.whl
Algorithm Hash digest
SHA256 0a9c2b1a25bfc05a91f482523634fc6f912af63a2e0006df992f3811a6c63596
MD5 9a88ef49e9ebecbb9a564c095797bac3
BLAKE2b-256 1b4acfa7874d89be554b3ff2d48889de2e442ca638c5353a281d8a9116bbbdff

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