Downloading the source¶
The Bauble source can be downloaded from our source repository on github.
If you want a particular version of Bauble, we release and maintain versions
into branches. You should
git checkout the branch corresponding to the
version of your choice. Branch names for Bauble versions are of the form
bauble-x.y, where x.y can be 1.0, for example. Our workflow is to commit
to the master development branch or to a patch branch and to include the
commits into a release branch when ready.
To check out the most recent code from the source repository you will need to install the Git version control system. Git is incuded in all reasonable Linux distributions and can be installed on all current operating systems.
Once you have installed Git you can checkout the latest Bauble code with the following command:
git clone https://github.com/Bauble/bauble.classic.git
For more information about other available code branches go to bauble.classic on github.
A bauble production line is a branch. Currently there is only one production line, that is bauble-1.0. In perspective, we will have several one, each in use by one or more gardens.
As long as we have only one production line, I keep working on the master branch, unless I later realize the work is going to take longer than one or two days.
batches of simple issues¶
For issues that can be managed in one or two commits, and as long as there’s no other activity on the repository, work on the master branch, accumulate issue-solving commits, finally merge master into the production line bauble-1.0.
When facing a single larger issue, create a branch tag, and follow the workflow described at
git up git checkout -b issue-xxxx git push origin issue-xxxx
work on the new branch. When ready, go to github, merge the branch with master, solve conflicts where necessary, delete the temporary branch.
when ready for publication, merge master into the production line.
Adding missing unit tests¶
If you are interested contributing to development of Bauble, a good way to do so would be by helping us finding and writing the missing unit tests.
A well tested function is one whose behaviour you cannot change without breaking at least one unit test.
We all agree that in theory theory and practice match perfectly and that one first writes the tests, then implements the function. In practice, however, practice does not match theory and we have been writing tests after writing and even publishing the functions.
This section describes the process of adding unit tests for
What to test¶
First of all, open the coverage report index, and choose a file with low coverage.
For this example, run in October 2015, we landed on
bauble.plugins.plants.family, at 33%.
The first two functions which need tests,
add_genera_callback, include creation and activation of an object
relying on a custom dialog box. We should really first write unit tests for
that class, then come back here.
The next function,
remove_callback, also activates a couple of dialog
and message boxes, but in the form of invoking a function requesting user
input via yes-no-ok boxes. These functions we can easily replace with a
function mocking the behaviour.
how to test¶
So, having decided what to describe in unit test, we look at the code and we see it needs discriminate a couple of cases:
- parameter correctness
- the list of families has no elements.
- the list of families has more than one element.
- the list of families has exactly one element.
- the family has no genera
- the family has one or more genera
- the user confirms deletion
- the user does not confirm deletion
- all goes well when deleting the family
- there is some error while deleting the family
I decide I will only focus on the cascade and the confirm aspects. Two binary questions: 4 cases.
where to put the tests¶
Locate the test script and choose the class where to put the extra unit tests.
FamilyTests class contains a skipped test, implementing it
will be quite a bit of work because we need rewrite the
FamilyEditorPresenter, separate it from the FamilyEditorView and
reconsider what to do with the FamilyEditor class, which I think
should be removed and replaced with a single function.
writing the tests¶
After the last test in the FamilyTests class, I add the four cases I want to describe, and I make sure they fail, and since I’m lazy, I write the most compact code I know for generating an error:
def test_remove_callback_no_genera_no_confirm(self): 1/0 def test_remove_callback_no_genera_confirm(self): 1/0 def test_remove_callback_with_genera_no_confirm(self): 1/0 def test_remove_callback_with_genera_confirm(self): 1/0
One test, step by step¶
Let’s start with the first test case.
When writing tests, I generally follow the pattern:
- T₀ (initial condition),
- T₁ (testing the result of the action given the initial conditions)
There’s a reason why unit tests are called unit tests. Please never test two actions in one test.
So let’s describe T₀ for the first test, a database holding a family without genera:
def test_remove_callback_no_genera_no_confirm(self): f5 = Family(family=u'Arecaceae') self.session.add(f5) self.session.flush()
We do not want the function being tested to invoke the interactive
utils.yes_no_dialog function, we want
remove_callback to invoke a
non-interactive replacement function. We achieve this simply by making
utils.yes_no_dialog point to a
lambda expression which, like the
original interactive function, accepts one parameter and returns a
boolean. In this case:
def test_remove_callback_no_genera_no_confirm(self): # T_0 f5 = Family(family=u'Arecaceae') self.session.add(f5) self.session.flush() # action utils.yes_no_dialog = lambda x: False from bauble.plugins.plants.family import remove_callback remove_callback(f5)
Next we test the result.
Well, we don’t just want to test whether or not the object Arecaceae was
deleted, we also should test the value returned by
message_details_dialog were invoked or
lambda expression is not enough for this. We do something apparently
more complex, which will make life a lot easier.
Let’s first define a rather generic function:
def mockfunc(msg=None, name=None, caller=None, result=None): caller.invoked.append((name, msg)) return result
and we grab
partial from the
functools standard module, to partially
apply the above
mockfunc, leaving only
msg unspecified, and use this
partial application, which is a function accepting one parameter and
returning a value, to replace the two functions in
utils. The test
function now looks like this:
def test_remove_callback_no_genera_no_confirm(self): # T_0 f5 = Family(family=u'Arecaceae') self.session.add(f5) self.session.flush() self.invoked =  # action utils.yes_no_dialog = partial( mockfunc, name='yes_no_dialog', caller=self, result=False) utils.message_details_dialog = partial( mockfunc, name='message_details_dialog', caller=self) from bauble.plugins.plants.family import remove_callback result = remove_callback([f5]) self.session.flush()
The test section checks that
message_details_dialog was not invoked,
yes_no_dialog was invoked, with the correct message parameter, that
Arecaceae is still there:
# effect self.assertFalse('message_details_dialog' in [f for (f, m) in self.invoked]) self.assertTrue(('yes_no_dialog', u'Are you sure you want to ' 'remove the family <i>Arecaceae</i>?') in self.invoked) self.assertEquals(result, None) q = self.session.query(Family).filter_by(family=u"Arecaceae") matching = q.all() self.assertEquals(matching, [f5])
And so on¶
there are two kinds of people, those who complete what they start, and so on
Next test is almost the same, with the difference that the
utils.yes_no_dialog should return
True (this we achieve by
result=True in the partial application of the generic
With this action, the value returned by
remove_callback should be
True, and there should be no Arecaceae Family in the database any more:
def test_remove_callback_no_genera_confirm(self): # T_0 f5 = Family(family=u'Arecaceae') self.session.add(f5) self.session.flush() self.invoked =  # action utils.yes_no_dialog = partial( mockfunc, name='yes_no_dialog', caller=self, result=True) utils.message_details_dialog = partial( mockfunc, name='message_details_dialog', caller=self) from bauble.plugins.plants.family import remove_callback result = remove_callback([f5]) self.session.flush() # effect self.assertFalse('message_details_dialog' in [f for (f, m) in self.invoked]) self.assertTrue(('yes_no_dialog', u'Are you sure you want to ' 'remove the family <i>Arecaceae</i>?') in self.invoked) self.assertEquals(result, True) q = self.session.query(Family).filter_by(family=u"Arecaceae") matching = q.all() self.assertEquals(matching, )
have a look at commit 734f5bb9feffc2f4bd22578fcee1802c8682ca83 for the other two test functions.
Putting all together¶
From time to time you want to activate the test class you’re working at:
And at the end of the process you want to update the statistics:
Bauble is a framework for handling collections, and is distributed along with a set of plugins making Bauble a botanical collection manager. But Bauble stays a framework and you could in theory remove all plugins we distribute and write your own, or write your own plugins that extend or complete the current Bauble behaviour.
Once you have selected and opened a database connection, you land in the Search window. The Search window is an interaction between two objects: SearchPresenter (SP) and SearchView (SV).
SV is what you see, SP holds the program status and handles the requests you express through SV. Handling these requests affect the content of SV and the program status in SP.
The search results shown in the largest part of SV are rows, objects that are instances of classes registered in a plugin.
Each of these classes must implement an amount of functions in order to properly behave within the Bauble framework. The Bauble framework reserves space to pluggable classes.
SP knows of all registered (plugged in) classes, they are stored in a dictionary, associating a class to its plugin implementation. SV has a slot (a gtk.Box) where you can add elements. At any time, at most only one element in the slot is visible.
A plugin defines one or more plugin classes. A plugin class plays the role of a partial presenter (pP - plugin presenter) as it implement the callbacks needed by the associated partial view fitting in the slot (pV - plugin view), and the MVP pattern is completed by the parent presenter (SP), again acting as model. To summarize and complete:
- SP acts as model,
- the pV partial view is defined in a glade file.
- the callbacks implemented by pP are referenced by the glade file.
- a context menu for the SP row,
- a children property.
when you register a plugin class, the SP:
- adds the pV in the slot and makes it non-visible.
- adds an instance of pP in the registered plugin classes.
- tells the pP that the SP is the model.
- connects all callbacks from pV to pP.
when an element in pV triggers an action in pP, the pP can forward the action to SP and can request SP that it updates the model and refreshes the view.
When the user selects a row in SP, SP hides everything in the pluggable slot and shows only the single pV relative to the type of the selected row, and asks the pP to refresh the pV with whatever is relative to the selected row.
Apart from setting the visibility of the various pV, nothing needs be disabled nor removed: an invisible pV cannot trigger events!