This is a READ ONLY repo. See https://github.com/project-koku/koku for current masu implementation

Data ingestion engine for project-koku. Masu is responsible for gathering data about cost and resource usage.

The Masu application contains several components - a web service, message bus, and workers. Masu also uses the Koku database. Configuration and management of the database are controlled from the Koku API application.

A basic deployment configuration is contained within the openshift template files. These templates should be acceptable for most use cases.

Parameterized values for most configuration options can be set using the provided example files. Copy the example file, removing the .example suffix. Then, update the parameter values as needed.

Once the parameter files have been configured, the provided Makefile can be used to deploy the Masu components, either individually or all at once.

To deploy all Masu components at once into an existing OpenShift cluster. :

make oc-create-all

make help will show you a complete list of the available commands.

• Python 3.6+
• virtualenvwrapper
• pipenv

To get started developing Masu, first clone a local copy of the git repository. :

git clone https://github.com/project-koku/masu

Create your virtualenv. :

mkvirtualenv -p python3.6 masu

# optionally, associate the virtualenv with the masu git repo
cd /path/to/masu.git
setvirtualenvproject

Activate the virtual environment. :

workon masu

Install pipenv. :

pip3 install pipenv

Install the Masu dependencies, including development dependencies. :

pipenv install --dev

Our development and deployment targets center around running Masu on OpenShift. OpenShift has different setup requirements for Mac OS and Linux. Instructions are provided for Fedora/CentOS/RHEL.

Run oc cluster up once before running the make commands to generate the referenced config file.

The Openshift CLI does offer shell/tab completion. It can be generated for either bash/zsh and is available by running oc completion bash|zsh The following example generates a shell script for completion and sources the file. :

oc completion zsh > $HOME/.oc/oc_completion.sh
source $HOME/.oc/oc_completion.sh

To gain direct access to the Koku database running on OpenShift, port forwarding must be used. :

# Forward port 5432 on the database pod to localhost:15432
make oc-forward-ports

# Access the DB
psql koku -U kokuadmin -p 15432 -h localhost

# Stop forwarding
make oc-stop-forwarding-ports

There are several ways to run Masu components. Depending on your development needs, it may be useful to run some or all of Masu's components locally, outside of an OpenShift environment. This section will provide some examples of possible ways to deploy Masu for development purposes. This is intended to provide ideas. It is not an exhaustive or complete list of possibilities.

1. Run everything inside OpenShift. :: oc-create-all
2. Run the Koku database and RabbitMQ in Openshift, but run the Masu API server locally. :: make oc-create-db # deploy the DB make oc-create-rabbitmq # deploy RabbitMQ make oc-forward-ports # set up port forwarding for the DB & RabbitMQ make serve # run the Flask API server locally

3. Run RabbitMQ in OpenShift, but run the Celery task worker locally. :: make oc-create-rabbitmq # deploy RabbitMQ make oc-forward-ports # set up port forwarding for the DB & RabbitMQ

   # run a local Celery worker celery -A masu.celery.worker --broker=amqp://localhost:5672// worker

Masu uses tox to run unit tests. The simplest use case is to run tox from the top-most directory of the git repository with no additional arguments.

To run only the unit tests :

tox -e py36

To run only the linters :

tox -e lint

During development it can sometimes be useful to unittest a specific module or test class. To do this, create an .env.test file in the base of the masu repository. This can be used to modify database environment variables for development or testing.

An example .env.test file:

MASU_SECRET_KEY='t0ta!!yr4nd0m'
DATABASE_ENGINE=postgresql
DATABASE_NAME=test
DATABASE_HOST=localhost
DATABASE_PORT=15432
DATABASE_USER=kokuadmin
DATABASE_PASSWORD=''

An example workflow for isolated testing :

./tests/create_db.sh
source .env.test
python -m unittest tests.module.TestClass
source .env

Please refer to Contributing.