verti-osi 2.2.0

A CLI tool for generating OCI-compliant container images for Python and Node.js projects.

Verti-OSI CLI Tool Documentation

Overview

Verti-OSI is a command-line tool for generating OCI-compliant container images and Dockerfiles based on your application source code.
It supports flexible configurations via CLI parameters or a YAML file.

You can:

• Generate a Dockerfile
• Build a container image
• Supply custom build-time and run-time base images
• Use custom build commands, pre-build commands, and environment variables
• Pull code from a remote repository
• Support multiple platforms (e.g., linux/amd64, linux/arm64)

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Supported Languages

• Python (detects requirements.txt / pyproject.toml)
• Node.js (detects package.json)

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Prerequisites

Make sure you have:

• Python 3.7+ installed:

  python --version
  

• pipx installed:

  pipx --version
  

  If not installed:

  python -m pip install --user pipx
  pipx ensurepath
  

• A container daemon running:

  • Docker:

    docker info
    

  • Podman:

    podman info
    

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Installation

Install Verti-OSI globally with pipx:

pipx install verti-osi

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Usage

After installing, invoke the CLI tool using:

verti-osi

Verti-OSI has two main commands:

Command	Description
dockerfile	Generate a Dockerfile only
image	Build a container image (can also generate the Dockerfile internally)

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Command Reference

Generate an Image

verti-osi image [OPTIONS]

Key CLI options:

Option	Description
--file-dir	Path to verti-osi.yaml config file
--root-directory	Project's root directory (default: .)
--source-directory	Source code directory (default: .)
--image-name	Name of the generated image
--build-image	Base image to use during build
--run-time-image	Base image for runtime
--platforms	Comma-separated build platforms
--repository-url	Git repository URL
--repository-branch	Git repository branch
--env-vars	Environment variables for all stages
--env-vars-rt	Runtime-specific environment variables
--env-vars-bt	Build-time-specific environment variables
--pre-build-commands	Commands before build
--build-commands	Build commands
--output	Image output: tar, registry, standard
--delete-generated-dockerfile	Delete Dockerfile after build (True/False)
--run-generated-image	Run image after build (True/False)
--port	Port to expose (default: 8080)
--daemon	Container daemon (docker or podman)

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Generate a Dockerfile

verti-osi dockerfile [OPTIONS]

Key CLI options:

Same as image command, but without:

• --platforms
• --output
• --run-generated-image

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Configuration via YAML

You can define all parameters using a verti-osi.yaml config file.

Then invoke:

verti-osi <image | dockerfile> --file-dir <path-to-directory>

Example verti-osi.yaml

image-name: verti-node-app:v1
source-directory: ./src
root-directory: .
delete-generated-dockerfile: true
daemon: docker
output-type: tar
platform:
  - linux/amd64
  - linux/arm64
pre-build:
  - echo "Running pre-build steps"
build:
  - npm run build
env-vars:
  - name: API_KEY
    value: abc123
    type: both
  - name: DEBUG
    value: true
    type: runtime
port: 8080
remote-source-repository:
  git:
    url: https://github.com/example/project
    branch: main
images:
  build: node:20-slim
  run-time: node:20-alpine

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Examples

1. Build and Push an Image to Registry

verti-osi image --root-directory . \
                --source-directory ./src \
                --image-name myorg/myapp:v1 \
                --output registry

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2. Generate Dockerfile Only

verti-osi dockerfile --root-directory . \
                     --source-directory ./src \
                     --output-directory ./dockerfiles

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3. Full Flow (YAML + Build + Push + Clean Dockerfile)

verti-osi image --file-dir ./configs \
                --output registry \
                --delete-generated-dockerfile True

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Features Summary

✅ Automatic Language Detection
✅ Custom Build & Run-time Images
✅ Pre-Build and Build Commands
✅ Pull Source from Git Repositories
✅ Multi-Platform Build Support
✅ Dockerfile Only Generation
✅ Docker or Podman Support
✅ Configurable via CLI or YAML

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License

Verti-OSI is licensed under the MIT License.

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