Orthanc-TMI

Table of Contents

• Getting Started
  • Clone
    • Dependencies
    • Submodules
  • Building
    • Tools
    • Build
    • Install
  • Docker
    • Build Image
    • WSL
• Contributing
  • Style Guide
  • Special Branches
  • Branching
• Testing

This software has been developed as a plugin to run on Orthanc DICOM servers.

Getting Started

Clone

Don't forget to populate submodules.

# clone repo
git clone https://github.com/BCCF-UBCO-AD/Orthanc-TMI.git orthanc-tmi
cd orthanc-tmi
# develop is where all the action is
git checkout develop
# we need to populate submodules (googletest)
git submodule init
git submodule update

Dependencies

First and foremost this project creates an Orthanc plugin, so the Orthanc plugin SDK is required. Which is available as OrthancCPlugin.h

This repo has a copy of that file under include/orthanc/

Submodules

Building

The project is configured to build a plugin (dll/so) (target 'data-anonymizer') binary, then copy it to docker/plugins where the orthanc docker server can read it.

Tools

Some tools will be needed. Please refer to your system package manager, or each tool's website, in order to install.

• GCC - compiler
• Cmake compatible build system (eg. GNU Make, Ninja)
• Cmake 3.20 - configures build system
• Docker - local testing (docker image)
• Github Actions - remote testing
• CLion (recommended)

Build

You'll need some tools, but below is all you'll need to do to build everything.

mkdir build
cd build
# configure build
# on linux
cmake ..
# on windows, pretty sure they've got VS as the default
cmake .. -G "Unix Makefiles"

# perform build
make

or if you're a cool ninja

mkdir build
cd build
cmake .. -G Ninja
ninja

Install

We don't currently provide binaries so you'll have to build and install yourself.

$ mkdir build
$ cd build
$ cmake .. -G Ninja -DCMAKE_INSTALL_PREFIX=/usr/share/orthanc/plugins
$ ninja install

Docker

To test locally you'll need to launch docker with..

$ sudo docker-compose up

This will launch 3 docker containers with images from Docker Hub:

• orthanc-server: Custom image based on Archlinux with Orthanc server, all official plugins as well as dependencies needed for our plugin
• postgresql: Official PostgreSQL docker image. Database.
• adminer: Official Adminer docker image, use to manage PostgreSQL database.

Then you can proceed to test whatever in whatever way. The docker server reads a copy of the plugin binary from docker/plugins/ (cmake configures the copy operation).

Build Image

To build the custom docker image instead of pulling from Docker Hub:

cd ./docker
docker image build .

Then update docker-compose.yml with the new image ID.

Windows Subsystem for Linux

When working in WSL, permissions may be an issue for docker mounting the persistent PostgreSQL data. By default Windows' file systems will be mounted under /mnt for WSL. To avoid permission issues with mounting docker's /var/lib/postgresql/data you'll need to change the volume for Postgres to any location that's native to your linux distribution.

You can edit docker-compose.yml where..

#instead of using
./docker/postgres:/var/lib/postgresql/data
#use this instead
~/docker/postgres:/var/lib/postgresql/data

Contributing

Style Guide

The C++ auto style settings can be found in CLion at Settings -> Editor -> Code Style -> C++, here you can import our styles from c++styles.xml in the project root.

Short and simple example of naming conventions and other formats to adhere to in order to maintain consistency.

#include <iostream>

#define MY_MACRO auto x = [](){Foo();};

int main(){
    int foo_total_count = 0; 
    std::cout << ++foo_total_count;
}

class FooBar{ //Our classes should be PascalCase, unless implemented inside another class or inside a cpp file
    struct data_type{
        int example_of;
        int private_inner_class;
    };
    struct Data{ //no convention, up to preference for these
        int example_of; //these still gotta be underscore_case
        int private_inner_class;
    };
public: //variable order really only matters in terms of what is logical and or if you need memory structured a particular way
    int special_public_var_packed_at_the_front_of_object = 42;
private:
    //members
    int foo_total_count = 0;

    //methods
    void foo(){}
    //hard wrap at col 120
    //this can be negotiated if someone can't fit 120+ chars in their clion views (font change? proggyfonts.net/)
    //it also doesn't apply to comments, use your best judgement for comments
    void helper(std::unordered_map<size_t, std::vector<std::vector<iterator_type_with_a_long_name>> the_thing, int x){}
    void helper2(std::unordered_map<size_t, std::vector<std::vector<iterator_type_with_a_long_name>> the_thing,
                 std::unordered_map<size_t, std::vector<std::vector<iterator_type_with_a_long_name>> the_thing2){}
    void helper3(int x, /* when the signature surpasses, newline each arg */
                 int y,
                 int z,
                 std::unordered_map<size_t, std::vector<std::vector<size_t>> the_thing, 
                 std::unordered_map<size_t, std::vector<std::vector<iterator_type_with_a_long_name>> the_thing2){}
protected:
    void protected_special_helper(){}
public:
    bool public_flag = false;
    //Our methods should also be PascalCase, might revisit this later and switch to Camel
    void Bar(){}
};

//Our functions should also be PascalCase, might revisit this later and switch to Camel
void Foo(int foo_bar){
}

Special Branches

Branching

Our strategy is simple:

1. develop code in a branch
   • test
   • fix
   • test
2. merge to (if and when needed)*
3. merge to develop
   • test
   • fix
   • test
4. merge to master.

As a general guide to naming branches:

Testing

• Google_Test Framework for unit Testing. Here
• Github Actions for continuous integration.
• Github Actions to test pull requests to master and develop branches