Marvin Toolbox v0.0.3

Quick Start

Review

Marvin is an open source Artificial Intelligence platform that focus on help data science team members, in an easy way, to deliver complex solutions supported by a high-scale, low-latency, language agnostic and standardized architecture while simplifying the process of exploitation and modeling.

Getting Started

• Installing Marvin (Ubuntu and MacOS user)
• Installing Marvin (Other OS)
• Creating a new engine
• Working in an existing engine
• Command line interface
• Running a example engine

Installing Marvin as Ubuntu and MacOS user

Take the following steps to install Marvin Toolbox:

1. Libsasl2-dev, Python-pip and Graphviz installation

Ubuntu: 
sudo apt-get install libsasl2-dev python-pip graphviz -y

MacOS: 
sudo easy_install pip
brew install openssl graphviz

2. VirtualEnvWrapper Installation

sudo pip install --upgrade pip
sudo pip install virtualenvwrapper --ignore-installed six

3. Spark installation

curl https://d3kbcqa49mib13.cloudfront.net/spark-2.1.1-bin-hadoop2.6.tgz -o /tmp/spark-2.1.1-bin-hadoop2.6.tgz

sudo tar -xf /tmp/spark-2.1.1-bin-hadoop2.6.tgz -C /opt/
sudo ln -s /opt/spark-2.1.1-bin-hadoop2.6 /opt/spark

echo "export SPARK_HOME=/opt/spark" >> $HOME/.bash_profile

If you do not have /opt directory created, before unpacking spark, run:

sudo mkdir /opt

4. Set environment variables

echo "export WORKON_HOME=$HOME/.virtualenvs" >> $HOME/.bash_profile
echo "export MARVIN_HOME=$HOME/marvin" >> $HOME/.bash_profile
echo "export MARVIN_DATA_PATH=$HOME/marvin/data" >> $HOME/.bash_profile
echo "source virtualenvwrapper.sh" >> $HOME/.bash_profile

source ~/.bash_profile

5. Clone and install python-toolbox

mkdir $MARVIN_HOME
mkdir $MARVIN_DATA_PATH
cd $MARVIN_HOME

git clone https://github.com/marvin-ai/marvin-python-toolbox.git
cd marvin-python-toolbox

mkvirtualenv python-toolbox-env
setvirtualenvproject

make marvin

6. Test the installation

marvin test

Installing Marvin with Other OS

Take the following steps to install Marvin Toolbox using Vagrant:

1. Install requirements

• Virtual box (Version 5.1 +)
• Vagrant (Version 1.9.2 or +)

2. Clone repository and start provision

git clone https://github.com/marvin-ai/marvin-vagrant-dev.git
cd marvin-vagrant-dev

3. Prepare dev (engine creation) box

vagrant up dev
vagrant ssh dev

Wait for provision process and follow interactive configuration script after access the dev box using vagrant ssh command.

4. The marvin source projects will be on your home folder, to compile and use the marvin toolbox

workon python-toolbox-env
make marvin

Creating a new engine

1. To create a new engine

workon python-toolbox-env
marvin engine-generate

Respond the interactive prompt and wait for the engine environment preparation, and don't forget to start dev box before if you are using vagrant.

2. Test the new engine

workon <new_engine_name>-env
marvin test

3. For more informations

marvin --help

Working in an existing engine

1. Set VirtualEnv and get to engine's path

workon <engine_name>-env

2. Test your engine

marvin test

3. Bring up the notebook and access it from your browser

marvin notebook

Command line interface

Usage: marvin [OPTIONS] COMMAND [ARGS]

Options:

  --debug       #Enable debug mode.
  --version     #Show the version and exit.
  --help        #Show this command line interface and exit.

Commands:

  engine-generate     #Generate a new marvin engine project.
  engine-generateenv  #Generate a new marvin engine environment.
  engine-grpcserver   #Marvin gRPC engine action server starts.
  engine-httpserver   #Marvin http api server starts.
  hive-dataimport     #Import data samples from a hive databse to the hive running in this toolbox.
  hive-generateconf   #Generate default configuration file.
  hive-resetremote    #Drop all remote tables from informed engine on host.
  notebook            #Start the Jupyter notebook server.
  pkg-bumpversion     #Bump the package version.
  pkg-createtag       #Create git tag using the package version.
  pkg-showchanges     #Show the package changelog.
  pkg-showinfo        #Show information about the package.
  pkg-showversion     #Show the package version.
  pkg-updatedeps      #Update requirements.txt.
  test                #Run tests.
  test-checkpep8      #Check python code style.
  test-tdd            #Watch for changes to run tests automatically.
  test-tox            #Run tests using a new virtualenv.

Running a example engine

1. Clone example engine from repository

git clone https://github.com/marvin-ai/engines.git

2. Generate a new marvin engine environment for Iris species engine

workon python-toolbox-env
marvin engine-generateenv ../engines/iris-species-engine/

3. Run the Iris species engine

workon iris-species-engine-env
marvin engine-dryrun 

Marvin is a project started at B2W Digital offices and released open source on September 2017.