def annotated_answers(self, scenario_id):
"""
Returns a list of dicts reflecting the correct learner state for
scenario_id.
"""
scenario = Scenario.get_by_key_name(scenario_id)
is_completed = self.is_completed(scenario_id)
learner_answers = self.learner_answers(scenario_id)
def annotate(answer):
"""Convert the Answer object into a marked-up dict"""
a = answer.as_dict()
# if this scenario has been completed, we want the correct answer
# to be highlighted
if is_completed or a['name'] in learner_answers:
a['disabled'] = True
if answer.is_correct:
a['class'] = "answer correct"
else:
a['class'] = "answer incorrect"
else:
a['disabled'] = False
a['class'] = "answer"
return a
return [annotate(answer) for answer in scenario.answer_set]
# terms of the GNU General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your
# option) any later version.
#
# Mpls-ethics is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Mpls-ethics. If not, see <http://www.gnu.org/licenses/>.
from met.model import Scenario
from pprint import pprint
pprint([x for x in Scenario.all()])
s = Scenario.all()[0]
pprint(s.__dict__)
pprint(dir(s))
pprint(s.fields())
# try get_by_key_name
s = Scenario.get_by_key_name('coi1')
pprint(s.__dict__)
# how does it fail?
s = Scenario.get_by_key_name('coi99')
pprint(s.__dict__)
# test the answer_set attribute
s = Scenario.get_by_key_name('coi1')
def annotate_scenario(self, scenario_id):
scenario = Scenario.get_by_key_name(scenario_id).as_dict()
scenario['answers'] = self.annotated_answers(scenario_id)
scenario['is_completed'] = self.is_completed(scenario_id)
return scenario