Please note that the
petl package is intended as a stable,
general purpose library for ETL work. If you would like to extend
petl with functionality that is domain-specific, or if you have
an experimental or tentative feature that is not yet ready for
inclusion in the core
petl package but you would like to
distribute it, please contribute to the petlx project instead, or distribute your
code as a separate package.
If you are thinking of developing or modifying the
petl code base in
any way, here is some information on how to set up your development
environment to run tests etc.
Running the test suite¶
$ pip install nose $ nosetests -v
petl supports Python 2.6, Python 2.7 and Python 3.4,
so the tests should pass under all three Python versions.
To keep installation as simple as possible on different platforms,
petl has no installation dependencies. Most functionality also
depends only on the Python core libraries.
petl functions depend on third party packages, however
these should be kept as optional requirements. Any tests for modules
requiring third party packages should be written so that they are
skipped if the packages are not available. See the existing tests for
examples of how to do this.
Running database tests¶
There are some additional tests within the test suite that require database servers to be setup correctly on the local host. To run these additional tests, make sure you have both MySQL and PostgreSQL servers running locally, and have created a user “petl” with password “test” and all permissions granted on a database called “petl”. Install dependencies:
$ pip install pymysql psycopg2 sqlalchemy
If these dependencies are not installed, or if a local database server is not found, these tests are skipped.
Doctests in docstrings should (almost) all be runnable, and should pass if run with Python 3.4. Doctests can be run with nose. See the tox.ini file for example doctest commands.
Building the documentation¶
Documentation is built with sphinx. To build:
$ pip install sphinx $ cd docs $ make html
Built docs can then be found in the
Automatically running all tests¶
All of the above tests can be run automatically using tox. You will need binaries for Python 2.6, Python 2.7 and Python 3.4 available on your system.
To run all tests without installing any of the optional dependencies, do:
$ tox -e py26,py27,py34,doctests
To run the entire test suite, including installation of all optional dependencies, do:
The first time you run this it will take some while all the optional dependencies are installed in each environment.
Contributing code via GitHub¶
The best way to contribute code is via a GitHub pull request.
Please include unit tests with any code contributed.
If you are able, please run tox and ensure that all the above tests pass before making a pull request.