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High-precision environment scanner and Dockerfile generator for EzDeploy.

Project description

EzDeploy CLI

A lightweight, zero-dependency local environment auto-detector for the EzDeploy platform.

The EzDeploy CLI tool is designed to be installed locally in your development environment (like your VS Code terminal). It intelligenty analyzes your current local environment, matching your OS, Python version, CUDA drivers, and exact code imports to generate perfectly locked base files for cloud deployment.

Installation

Install directly via pip inside your active virtual environment or terminal:

pip install ezdeploy-cli

(Note: The package is incredibly lightweight and utilizes only native Python standard libraries so it won't bloat your environment).

Usage

Navigate to the root directory of your Python project in your terminal:

cd /path/to/my/project

1. Simple Environment Scan (Recommended)

To scan your environment and generate a deployment metadata file (ezdeploy_env.json) that you can upload to the EzDeploy Web UI:

EzDeployCLI scan
  • Scans nvcc, nvidia-smi and local torch logic to find your exact CUDA drivers and GPU hardware.
  • Resolves your exact minor Python version (e.g., 3.11.8).
  • Uses AST parsing to trace the exact libraries and system-level binaries (like libgl1) your code needs.
  • Outputs: ezdeploy_env.json and requirements.txt.

2. Full Local Detection

To generate a production-ready Dockerfile and requirements.txt directly on your machine:

EzDeployCLI detect

3. Detect & Auto-Push

Generate the files and automatically push them to your repository in a single command:

EzDeployCLI detect --push

Connect to EzDeploy Cloud

The scan command is the most powerful way to use EzDeploy:

  1. Run EzDeployCLI scan in your development environment (Local, Colab, or RunPod).
  2. Download/Copy the generated ezdeploy_env.json.
  3. Open the EzDeploy Console.
  4. In the Deployment Wizard, upload the JSON file.
  5. EzDeploy will auto-populate every setting (Python, CUDA, Ports, and System Packages) to match your environment exactly, ensuring your deployment works on the first try!

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