eopod 0.0.19

EOpod is a streamlined command execution tool designed to run and manage operations on Google Cloud Pods efficiently

EOpod: Enhanced TPU Command Runner

EOpod is a command-line tool designed to simplify and enhance interaction with Google Cloud TPU VMs. It provides real-time output streaming, background process management, and robust error handling.

Features

• Configuration Management: Easily configure EOpod with your Google Cloud project ID, zone, and TPU name.
• Command Execution: Run commands on TPU VMs with advanced features like retries, delays, timeouts, and worker selection.
• Interactive Mode (Experimental): Run commands in an interactive SSH session (use with caution).
• Command History: View a history of executed commands, their status, and truncated output.
• Error Logging: Detailed error logs are maintained for debugging failed commands.
• Rich Output: Utilizes the rich library for visually appealing and informative output in the console.

Installation

pip install eopod

Configuration

Before using EOpod, configure it with your Google Cloud credentials:

eopod configure --project-id YOUR_PROJECT_ID --zone YOUR_ZONE --tpu-name YOUR_TPU_NAME

Usage Examples

Basic Command Execution

Commands are executed with real-time output streaming by default:

# Simple command
eopod run echo "Hello TPU"

# Run Python script
eopod run python train.py --batch-size 32

# Complex commands with pipes and redirections
eopod run "cat data.txt | grep error > errors.log"

# Commands with multiple arguments
eopod run ls -la /path/to/dir

Background Processes

Run long-running tasks in the background:

# Start training in background
eopod run python long_training.py --epochs 1000 --background

# Check background processes
eopod check-background

# Check specific process
eopod check-background 12345

# Kill a background process
eopod kill 12345

# Force kill if necessary
eopod kill 12345 --force

Worker-Specific Commands

Execute commands on specific workers:

# Run on specific worker
eopod run nvidia-smi --worker 0

# Run on all workers (default)
eopod run hostname --worker all

Advanced Options

# Disable output streaming
eopod run python script.py --no-stream

# Set custom retry count
eopod run python train.py --retry 5

# Set custom retry delay
eopod run python train.py --delay 10

# Set custom timeout
eopod run python train.py --timeout 600

Kill and free TPU process

# Kill all TPU processes
eopod kill-tpu

# Force kill all TPU processes
eopod kill-tpu --force

# Kill specific PID(s)
eopod kill-tpu --pid 1234 --pid 5678

# Kill processes on specific worker
eopod kill-tpu --worker 0

Viewing History and Logs

# View command history
eopod history

# View error logs
eopod errors

# View current configuration
eopod show-config

Command Reference

Main Commands

• run: Execute commands on TPU VM

  eopod run [OPTIONS] COMMAND [ARGS]...
  

  Options:

  • --worker TEXT: Specific worker or "all" (default: "all")
  • --retry INTEGER: Number of retries for failed commands (default: 3)
  • --delay INTEGER: Delay between retries in seconds (default: 5)
  • --timeout INTEGER: Command timeout in seconds (default: 300)
  • --no-stream: Disable output streaming
  • --background: Run command in background

• configure: Set up EOpod configuration

  eopod configure --project-id ID --zone ZONE --tpu-name NAME
  

• status: Check TPU status

  eopod status
  

• check-background: Check background processes

  eopod check-background [PID]
  

• kill: Kill background processes

  eopod kill PID [--force]
  

Utility Commands

• history: View command execution history
• errors: View error logs
• show-config: Display current configuration

File Locations

• Configuration: ~/.eopod/config.ini
• Command history: ~/.eopod/history.yaml
• Error logs: ~/.eopod/error_log.yaml
• Application logs: ~/.eopod/eopod.log

Error Handling

EOpod includes built-in error handling and retry mechanisms:

• Automatic retry for failed commands
• Timeout handling
• Detailed error logging
• Rich error output

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.