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GitHub - aldor007/mort: Storage and image processing server written in Go
Storage and image processing server written in Go. Contribute to aldor007/mort development by creating an account on GitHub.
Visit SiteGitHub - aldor007/mort: Storage and image processing server written in Go
Storage and image processing server written in Go. Contribute to aldor007/mort development by creating an account on GitHub.
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Mort
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
Click on result image to see URL. More examples can be found in Image Operations list
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
- Using golang (custom mort version needed) UrlParsers.md
- Using tengo TengoUrlParser.md
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
- Make sure you have a Go language compiler >= 1.9 (required) and git installed.
- Install libvips like described on bimg page
- Ensure your GOPATH is properly set.
- Download it
git clone https://github.com/aldor007/mort.git $GOPATH/src/github.com/aldor007/mort
cd $GOPATH/src/github.com/aldor007/mort
- 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
GoLang Resources
are all listed below.
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