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Mort

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An S3-compatible image processing server written in Go. Still in active development.

Features

  • HTTP server
  • Resize, Rotate, SmartCrop
  • Convert (JPEG, PNG , BMP, Webp)
  • Multiple storage backends (disk, S3, http)
  • Fully modular
  • S3 API for listing and uploading files
  • Requests collapsing
  • Build in rate limiter
  • HTTP Range and Conditional requests
  • Compression (gzip, brotli)
  • Env variables driven configuration
  • Write you own transform parser using tengo
  • cloudinary image transformation and upload

And more see changelog for more info

Demo

Original image

Click on result image to see URL. More examples can be found in Image Operations list

Description Result (to see result click on image)

preset: small

(preserve aspect ratio) width: 75

preset: blur

  • resize image (preserve aspect ratio) width: 700

  • blur image with sigma 5.0

preset: webp

  • resize image (preserve aspect ratio) width: 1000

  • and change format to webp

preset: watermark

  • resize image (preserve aspect ratio) width: 1300

  • and add watermark

Usage

Mort can be used directly from the Internet and behind any proxy.

Install

go get github.com/aldor007/mort/cmd/

Command line help

$ ./mort
Usage of  mort
  -config string
    	Path to configuration (default "/etc/mort/mort.yml")

Configuration

Example configuration used for providing demo images:

headers: #  add or overwrite all response headers of given status. This field is optional
  - statusCodes: [200]
    values:
      "cache-control": "max-age=84000, public"

buckets: # list of available buckets
    demo:    # bucket name
        keys: # list of S3 keys (optional)
          - accessKey: "access"
            secretAccessKey: "random"
        transform: # config for transforms
            path: "\\/(?P<presetName>[a-z0-9_]+)\\/(?P<parent>[a-z0-9-\\.]+)" # regexp for transform path
            kind: "presets-query" #  type of transform or "query"
            presets: # list of presets
                small:
                    quality: 75
                    filters:
                        thumbnail:
                            width: 150
                blur:
                    quality: 80
                    filters:
                        thumbnail:
                            width: 700
                        blur:
                          sigma: 5.0
                webp:
                    quality: 100
                    format: webp
                    filters:
                        thumbnail:
                            width: 1000
                watermark:
                    quality: 100
                    filters:
                        thumbnail:
                            width: 1300
                        watermark:
                            image: "https://i.imgur.com/uomkVIL.png"
                            position: "top-left"
                            opacity: 0.5
                smartcrop:
                    quality: 80
                    filters:
                      crop:
                        width: 200
                        height: 200
        storages:
             basic: # retrieve originals from s3
                 kind: "s3"
                 accessKey: "acc"
                 secretAccessKey: "sec"
                 region: ""
                 endpoint: "http://localhost:8080"
             transform: # and store it on disk
                 kind: "local-meta"
                 rootPath: "/var/www/domain/"
                 pathPrefix: "transform"

List of all image operations can be found in Image-Operations.md

More details about configuration can be found in Configuration.md

Write you own URL parser

Docker

See Dockerfile for image details.

Pull docker image

docker pull ghcr.io/aldor007/mort

Create you custom docker deployment

Create Dockerfile or use Dockerfile.service

# Dockerfile.service 
FROM ghcr.io/aldor007/mort:latest

# add your config
ADD config.yml /etc/mort/mort.yml

Build container

docker build -f Dockerfile.service -t myusername/mort

Run docker

docker run -p 8080:8080 myusername/mort

Full example you can find here

Development

  1. Make sure you have a Go language compiler >= 1.9 (required) and git installed.
  2. Install libvips like described on bimg page
  3. Ensure your GOPATH is properly set.
  4. Download it
git clone  https://github.com/aldor007/mort.git $GOPATH/src/github.com/aldor007/mort
cd $GOPATH/src/github.com/aldor007/mort
  1. Install dependencies:
go mod vendor

Run unit tests:

make unit

Run integration tests:

make integrations

If you encounter following problem go build gopkg.in/h2non/bimg.v1: invalid flag in pkg-config --cflags: -Xpreprocessor while running tests in your IDE add this to your environment:

export CGO_CFLAGS_ALLOW="-Xpreprocessor"

Run tests using docker image

make docker-tests

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Inspirations