Add test file 'Test_wikipedia.py'.
Since wikipedia links for the same query may different according
to relevance. This test will also be written by mocking HTTP
traffic. But this can work for now.
The previous test function in virtual_Bot made use of another function
called a 'sample_conversation' which had stateful example conversation
with virtual_fs bot.
The function sample_conversation is really useful, so made it accessible
to the users too.
Earlier, if virtual_fs bot is called without any argument, then the
bot returns nothing.
Now, virtual_fs bot replies with help message on how the user can
call this bot.
Remove previous unittest file for converter bot. Add new
test file which is in accordance with the test-suite famework
developed for contrib_bots.
Since 'coverter' folder is now a package (addition of __init__.py),
modify converter.py to import utils.py from the same package.
`test-bots` would not run in Vagrant, displaying
the error "ValueError: no such test method in <class
'bots_test_lib.BotTestCase'>: runTest" This was due to
the `BotTestCase` class inheriting from the TestCase
class, even though it was not a unit test on its own.
This commit removes the inheritance of TestCase and
specifies `test_define` as the `runTest` method in
`TestDefineBot`.
This test uses unittest and mock library. It mocks
'BotHandlerApi' class. This test works independent of
the rest of the code outside contrib_bots folder.
Merged with a few changes by tabbott to fix lint issues; we'll need to
do further work on this framework, but since it's not hooked up to
anything, it's reasonable to merge early so others can collaborate on
improving it.
The converter bot depended on past.utils.old_div,
which is not supported anymore. Updating the code
to use the // operator, which provides the same
functionality.
Now this bot follows our latest structure for contrib_bots.
Switched the dependencies instructions, to install "google" rather than
"google-api-python-client".
Added all the search terms to the query (not only the first one).
Add one function (get_bot_botname_response()) that generates response
from the given input and replies back to the handle_message with the final
content of response to be sent. Also add code to bots(except followup) to
reply to private messages along with stream messages.
To make all bots consistent add shared function in bot_lib.py
to check if this bot is called. All bots respond to at-mention of
the bot instead of their specific names.
