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Build the docker container with

$ docker build -t pykat .

Run a container in interative mode with

$ docker run -itv $(pwd):/app --name pykat pykat bash

and inside

$ pip install -r requirements.dev
$ ./runtest

Now just modify the code outside the container (it is mounted as volume) and run tests inside.

Remember to prepare a ready compatible sqlite file before (production.db by default)

$ cp empty.db production.db

and simply run the built container with

$ docker run --name pykat pykat 

You can run all the tests via:

$ python -m unittest discover

or easier via the bash script:

$ ./runtest

Remember to install the dev dependecies with

$ pip install -r requirements.txt
$ pip install -r requirements.dev

The runtest script is compiliant with unittest test selectors:

$ ./runtest test_module               # run tests from test_module
$ ./runtest module.TestClass          # run tests from module.TestClass
$ ./runtest module.Class.test_method  # run specified test method

The test package structure allows selective test run for unit and integration tests:

$ ./runtest test.unit         # run unitary tests
$ ./runtest test.integration  # run integration tests

Dependecies are managed by pip

You can keep clean your local environment using virtualenv (https://pypi.python.org/pypi/virtualenv).

Install virtualenv via pip:

$ pip install virtualenv

Create a virtual environment for the project:

$ virtualenv venv

Activate it:

$ source venv/bin/activate

Install project dependencies into the new virtual environment:

$ pip install -r requirements.txt

You'll be able to deactivate the virtual environment using

$ deactivate

Remember to prepare a ready compatible sqlite file before (production.db by default)

$ cp empty.db production.db

Now configure it managing dependecies injections into work.py and run it via

$ python work.py