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agile-1.5.1
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مشاهده بیشترتوضیحات
A meta-package containing a full toolset for agile development with TDD
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | agile-1.5.1 |
| نام | agile |
| نسخه کتابخانه | 1.5.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Gabriel Falcao |
| ایمیل نویسنده | gabriel@nacaolivre.org |
| آدرس صفحه اصلی | http://github.com/gabrielfalcao/agile |
| آدرس اینترنتی | https://pypi.org/project/agile/ |
| مجوز | - |
Agile
=====
.. image:: https://travis-ci.org/gabrielfalcao/agile.svg?branch=master
:target: https://travis-ci.org/gabrielfalcao/agile
.. image:: https://codecov.io/gh/gabrielfalcao/agile/branch/master/graph/badge.svg
:target: https://codecov.io/gh/gabrielfalcao/agile
Meta-package for python with tools for an agile development workflow.
add it to your project
----------------------
.. code:: bash
pip install agile
what is in it?
--------------
mock
^^^^
The `mock <http://www.voidspace.org.uk/python/mock/>`__ library is the
easiest and most expressive way to mock in python.
example: mocking I/O calls:
.. code:: python
# cool-git-project/my_cool_library/core.py
import io
import json
class JSONDatabase(object):
def __init__(self, filename=None, data={}):
self.filename = filename
self.data = data
def state_to_json(self):
return json.dumps(self.data)
def save(self):
# open file
fd = io.open(self.filename, 'wb')
fd.write(self.state_to_json())
fd.close()
.. code:: python
# cool-git-project/tests/unit/test_core.py
from mock import patch
from my_cool_library.core import JSONDatabase
@patch('my_cool_library.core.io')
@patch('my_cool_library.core.JSONDatabase.state_to_json')
def test_json_database_save(state_to_json, io):
("JSONDatabase.save() should open the database file, "
"and write the latest json state of the data")
# Given that the call to io.open returns a mock
mocked_fd = io.open.return_value
# And that I create an instance of JSONDatabase with some data
jdb = JSONDatabase('my-database.json', data={'foo': 'bar'})
# When I call .save()
jdb.save()
# Then the file descriptor should have been opened in write mode,
# and pointing to the right file
io.open.assert_called_once_with('my-database.json', 'wb')
# And the returned file descriptor should have been used
# to write the return value from state_to_json
mocked_fd.write.assert_called_once_with(state_to_json.return_value)
# And then the file descriptor should have been closed
mocked_fd.close.assert_called_once_with()
The mock documentation can be found
`here <http://www.voidspace.org.uk/python/mock/>`__
sure
^^^^
Sure modifies the all the python objects in memory, adding a special
property ``should``, that allows you to test aspects of the given
object.
Let's see it in practice.
Still considering the project from the *mock* example above, now let's
test that ``state_to_json`` returns a json string.
.. code:: python
def test_json_database_state_to_json():
("JSONDatabase.state_to_json() should return a valid json string")
# Given that I have an instance of the database containing some data
jdb = JSONDatabase(data={'name': 'Foo Bar'})
# When I call .state_to_json
result = jdb.state_to_json()
# Then it should return a valid JSON
result.should.equal('{"name": "Foo Bar"}')
The sure documentation is available
`here <https://github.com/gabrielfalcao/sure>`__
nose + coverage + rednose
^^^^^^^^^^^^^^^^^^^^^^^^^
.. code:: bash
nosetests -vsx --rednose --with-coverage --cover-package=my_cool_library tests/unit
# or
nosetests -vsx --rednose --with-coverage --cover-package=my_cool_library tests/functional
Nose is a great test runner, recursively scans for files that start with
``test_`` and and with ``.py``. It supports plugins and agile installs
two cool plugins:
coverage
coverage is a module that collects test coverage data so that nose can
show a summary of what lines of python code don't have test coverage.
rednose
Rednose is a plugin that prints a prettier output when running the
tests, and show bad things in **red** which highlights problems and make
it easier to see where is the problem, pretty awesome.
More over, **as long as you write single-line docstrings to describe
your tests** rednose will show the whole sentence, pretty and with no
chops.
.. code:: bash
JSONDatabase.save() should open the database file, and write the latest json state of the data ... passed
JSONDatabase.state_to_json() should return a valid json string ... passed
-----------------------------------------------------------------------------
2 tests run in 0.0 seconds (2 tests passed)
ps.: nose actually matches files that contain ``test`` in the name and
can also find ``TestCase`` classes, but I recommend using function-based
tests, for clarity, expressiveness and to enforce simplicity. We
developers tend to add too much logic to setup and teardown functions
when writing test-based class.
Gists:
------
creating a basic python test infrastructure
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. code:: bash
mkdir -p tests/{unit,functional}
touch tests/{unit,functional,}/__init__.py
printf 'import sure\nsure\n' > tests/unit/__init__.py
printf 'import sure\nsure\n' > tests/functional/__init__.py
now go ahead and add a unit test file, try to name your test file such
that it resembles module being tested, for example, let's say you are
testing ``my_cool_library/engine.py``, you could create a test file like
this
.. code:: bash
printf "# -*- coding: utf-8 -*-\n\n" > tests/unit/test_engine.py
.. |Build Status| image:: https://travis-ci.org/gabrielfalcao/agile.svg
:target: https://travis-ci.org/gabrielfalcao/agile
نحوه نصب
نصب پکیج whl agile-1.5.1:
pip install agile-1.5.1.whl
نصب پکیج tar.gz agile-1.5.1:
pip install agile-1.5.1.tar.gz