Skip to main content

An NVIDIA GPU monitoring plugin for the cjm-plugin-system that provides real-time hardware telemetry via nvitop.

Project description

cjm-system-monitor-nvidia

Install

pip install cjm_system_monitor_nvidia

Project Structure

nbs/
├── meta.ipynb   # Metadata introspection for the NVIDIA monitor plugin used by cjm-ctl to generate the registration manifest
└── plugin.ipynb # Plugin implementation for NVIDIA GPU monitoring using nvitop

Total: 2 notebooks

Module Dependencies

graph LR
    meta[meta<br/>meta]
    plugin[plugin<br/>plugin]

No cross-module dependencies detected.

CLI Reference

No CLI commands found in this project.

Module Overview

Detailed documentation for each module in the project:

meta (meta.ipynb)

Metadata introspection for the NVIDIA monitor plugin used by cjm-ctl to generate the registration manifest

Import

from cjm_system_monitor_nvidia.meta import (
    get_plugin_metadata
)

Functions

def get_plugin_metadata() -> Dict[str, Any]:  # Plugin metadata for manifest generation
    """Return metadata required to register this plugin with the PluginManager."""
    # Fallback base path (current behavior for backward compatibility)
    base_path = os.path.dirname(os.path.dirname(sys.executable))
    
    # Use CJM config if available, else fallback to env-relative paths
    cjm_data_dir = os.environ.get("CJM_DATA_DIR")
    
    # Plugin data directory
    plugin_name = "cjm-system-monitor-nvidia"
    if cjm_data_dir
    "Return metadata required to register this plugin with the PluginManager."

plugin (plugin.ipynb)

Plugin implementation for NVIDIA GPU monitoring using nvitop

Import

from cjm_system_monitor_nvidia.plugin import (
    NvidiaMonitorPlugin
)

Classes

class NvidiaMonitorPlugin:
    def __init__(self):
        """Initialize the NVIDIA monitor plugin."""
        self.logger = logging.getLogger(f"{__name__}.{type(self).__name__}")
        self.config = {}

    @property
    def name(self) -> str:  # Plugin identifier
    "NVIDIA System Monitor using nvitop."
    
    def __init__(self):
            """Initialize the NVIDIA monitor plugin."""
            self.logger = logging.getLogger(f"{__name__}.{type(self).__name__}")
            self.config = {}
    
        @property
        def name(self) -> str:  # Plugin identifier
        "Initialize the NVIDIA monitor plugin."
    
    def name(self) -> str:  # Plugin identifier
            """Plugin name."""
            return "sys-mon-nvidia"
        
        @property
        def version(self) -> str:  # Plugin version
        "Plugin name."
    
    def version(self) -> str:  # Plugin version
            """Plugin version."""
            return "1.0.0"
    
        def initialize(
            self,
            config: Optional[Dict[str, Any]] = None  # Configuration dictionary
        ) -> None
        "Plugin version."
    
    def initialize(
            self,
            config: Optional[Dict[str, Any]] = None  # Configuration dictionary
        ) -> None
        "Initialize or reconfigure the plugin."
    
    def get_config_schema(self) -> Dict[str, Any]:  # JSON Schema
            """Return JSON Schema for configuration."""
            return {}  # No config needed for monitoring
    
        def get_current_config(self) -> Dict[str, Any]:  # Current config
        "Return JSON Schema for configuration."
    
    def get_current_config(self) -> Dict[str, Any]:  # Current config
            """Return current configuration."""
            return self.config
    
        def cleanup(self) -> None
        "Return current configuration."
    
    def cleanup(self) -> None:
            """Clean up resources."""
            pass
    
        def _get_gpu_info_internal(self) -> Dict[str, Any]:  # Raw GPU data
        "Clean up resources."
    
    def execute(
            self,
            command: str = "get_system_status",  # Command to execute
            **kwargs
        ) -> Dict[str, Any]:  # SystemStats as dictionary
        "Collect stats and return standardized SystemStats dictionary."

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

cjm_system_monitor_nvidia-0.0.5.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

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

cjm_system_monitor_nvidia-0.0.5-py3-none-any.whl (11.4 kB view details)

Uploaded Python 3

File details

Details for the file cjm_system_monitor_nvidia-0.0.5.tar.gz.

File metadata

File hashes

Hashes for cjm_system_monitor_nvidia-0.0.5.tar.gz
Algorithm Hash digest
SHA256 b41a08e4436041d2114dab8cc5a0a0c17a0c8dee9e8ef26f963d2f083332e9b2
MD5 c0c3b30fdfcc8a0cbbecc80d1b9d37bf
BLAKE2b-256 54e8c3339d6aef67012d7e13b25ea19d138a858d1a322d49eb9d75ec06b8287d

See more details on using hashes here.

File details

Details for the file cjm_system_monitor_nvidia-0.0.5-py3-none-any.whl.

File metadata

File hashes

Hashes for cjm_system_monitor_nvidia-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 5c1417fae961030f7e297a112871a7864f48c69f42b46bffac15d7baa3941ba6
MD5 0e7ba6516b9a608bf0feb7be54915054
BLAKE2b-256 f119110dc8c283f4fa2e70a75738a1d5e20baf48e1793f2a6fff175eb2d2b2a8

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