#Docker image with ubuntu 14.04 and biicode

Docker image with:

• ubuntu 14.04
• biicode pre-installed
• C/C++ Tools pre-installed

biicode is a tech start-up based in Madrid, Spain. We develop a multi-platform C and C++ dependency manager with a hosting service (like Maven and Maven central for Java but for C and C++). We want code reuse made simple.

Our uses CMake as build system and has been integrated with Koding.org or Travis CI and our articles have been featured in the ISO C++ committee’s site.

biicode

##How to use this image

First of all, you need to have docker installed.

You have two options:

• Use the Dockerhub Image.
• Build the image manually.

###Dockerhub Image

Run the following command to download and run the docker container.

sudo docker run -t -i davidsanfal/ubuntu14_biicode:latest /bin/bash

biiuser@f2307c434162:~$

Now, try the biicode installation.

biiuser@f2307c434162b:~$ bii --version

###Build the Docker image

Run the following commands to clone de github repository and build the image.

git clone https://github.com/davidsanfal/ubuntu14_biicode.git
cd ubuntu14_biicode

sudo docker build -t biicode .

sudo docker run -t -i biicode /bin/bash

biiuser@f2307c434162:~$

Now, try the biicode installation.

biiuser@f2307c434162:~$ bii --version

##How to use biicode inside the docker container

Now, let’s make an example with SQLite.

First, open and build the examples/sqlite_basic block.

sudo docker run -t -i --rm davidsanfal/ubuntu14_biicode:latest /bin/bash

~$ bii init sql
Successfully initialized biicode project sql

~$ cd sql

~/sql$ bii open examples/sqlite_basic
INFO: Processing changes...
Opened examples/sqlite_basic: 0

~/sql$ bii cpp:build
INFO: Processing changes...
Running: cmake  -G "Unix Makefiles" -Wno-dev  ../cmake

(...)

[100%] Built target examples_sqlite_basic_main

Now, run the example.

~/sql$ ./bin/examples_sqlite_basic_main 
Opened database successfully

SELECT, List Veggies

STORE = Veggies
NAME = Spinach
NUMBER = 3

STORE = Veggies
NAME = Onion
NUMBER = 1


SELECT, List Drinks

STORE = Drinks
NAME = Coffee
NUMBER = 7


SELECT, Updated Lists:

STORE = Drinks
NAME = Coffee
NUMBER = 2

STORE = Veggies
NAME = Onion
NUMBER = 1

Closed database successfully