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Dockerized PDF Generator with compression and pages merge features.

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PDF Generator Service

Dockerized PDF Generator with compression and pages merge features.

Supported tags and respective Dockerfile links

How to use

Docker run

$ docker run -p 80:8080 -v /var/www/pdf:/storage --name pdfy -d caffeina/pdfy:1

Docker compose

Example docker-compose.yml for pdfy generation and sync on AWS S3:

version: '3'

services:
    pdfy:
        image: caffeina/pdfy:1
        restart: always
        volumes:
            - pdf-data:/storage

    awssync:
        image: caffeina/awssync:1
        restart: always
        volumes:
            - pdf-data:/storage
        environment:
            AWS_BUCKET_SYNC_DIR: "pdf"
            AWS_BUCKET: "mybucket"
            AWS_ACCESS_KEY_ID: "myawskey"
            AWS_SECRET_ACCESS_KEY: "************************"

volumes:
    pdf-data:

Then start the containers.

$ docker-compose up

WARNING: By design pdfy isn't meant to be exposed on the internet.

API

Get pdf list

$ curl http://localhost/

Generate new pdf

$ curl -X POST -d "urls=https://google.it&urls=https://google.com&name=google&orientation=portrait&paper=10cmX15.5cm&fit=Letter" http://localhost/

Parameters

  • urls: Urls to trasform in pdf pages (required)
  • name: Name of pdf without extension (required)
  • orientation: Can be portrait or landscape (optional, default=portrait)
  • paper: Can be one of the following A3, A4, A5, Legal, Letter or page size in mm, cm, in or px. For Example 10cmX15.5cm (optional, default=A4)
  • fit: Can be one of the following A3, A4, A5, Legal, Letter or page size in mm, cm, in or pt. Set it to false to disable this feature. For Example 10cmX15.5cm (optional, default=false)

Delete all pdfs

$ curl -X DELETE http://localhost/

Delete a pdf

$ curl -X DELETE http://localhost/{pdf-name}

Get pdf

$ curl http://localhost/{pdf-name}

Todo

  • Improve documentation;
  • Upgrade to python 3;
  • Use Chrome Headless instead of PhantomJS;
  • Add request throttling and authentication;
  • Add async mode and request queue.

Contributing

How to get involved:

  1. Star the project!
  2. Answer questions that come through GitHub issues
  3. Report a bug that you find

This project follows the GitFlow branching model. The master branch always reflects a production-ready state while the latest development is taking place in the develop branch.

Each time you want to work on a fix or a new feature, create a new branch based on the develop branch: git checkout -b BRANCH_NAME develop. Only pull requests to the develop branch will be merged.

Pull requests are highly appreciated.

Solve a problem. Features are great, but even better is cleaning-up and fixing issues in the code that you discover.

Versioning

This project is maintained by using the Semantic Versioning Specification (SemVer).

Copyright and license

Copyright 2018 Caffeina srl under the MIT license.

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  • Python 89.6%
  • Dockerfile 10.4%