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CONTRIBUTING.rst

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Instruction for contributors

Developer environment

First clone the git repo:

$ git clone git@github.com:aio-libs/aiopg.git
$ cd aiopg

After that you need to create and activate a virtual environment. I recommend using :term:`virtualenvwrapper` but just :term:`virtualenv` or :term:`venv` will also work. For virtualenvwrapper:

$ mkvirtualenv aiopg -p `which python3`

For venv (for example; put the directory wherever you want):

$ python3 -m venv ../venv_directory
$ source ../venv_directory/bin/activate

Just as when doing a normal install, you need the :term:`libpq` library:

$ sudo apt-get install libpq-dev

In the virtual environment you need to install aiopg itself and some additional development tools (the development tools are needed for running the test suite and other development tasks):

$ pip install -Ue .
$ pip install -Ur requirements.txt

You will also need to create a postgres user and database for the test suite:

$ sudo -u postgres psql

# CREATE DATABASE aiopg;
# CREATE USER aiopg WITH PASSWORD 'passwd';
# GRANT ALL PRIVILEGES ON DATABASE aiopg TO aiopg;

# \connect aiopg
# CREATE EXTENSION hstore;

You can use the setup_test_db.sql script to do the setup:

$ sudo -u postgres psql < setup_test_db.sql

That's all.

To run all of the aiopg tests do:

$ make test

This command runs :term:`pep8` and :term:`pyflakes` first and then executes the aiopg unit tests.

When you are working on solving an issue you will probably want to run some specific test, not the whole suite:

$ py.test -s -k test_initial_empty

For debug sessions I prefer to use :term:`ipdb`, which is installed as part of the development tools. Insert the following line into your code in the place where you want to start interactively debugging the execution process:

import ipdb; ipdb.set_trace()

The library is reasonably well covered by tests. There is a make target for generating the coverage report:

$ make cov

Contribution

I like to get well-formed Pull Requests on github. The pull request should include both the code fix and tests for the bug.

If you cannot make a good test yourself or want to report a problem, please open an issue at https://github.com/aio-libs/aiopg/issues.