def _execute(self, team_controller, date_converter=None, as_key=None):
from agilo.scrum.metrics.model import TeamMetrics
env = team_controller.env
metrics = TeamMetrics(env, sprint=self.sprint, team=self.sprint.team)
if metrics is not None:
del metrics[self.metric]
metrics.save()
def test_as_dict_serializes_all_metrics_entries(self):
self.sprint.team = self.team
metrics = TeamMetrics(self.env, self.sprint)
metrics['bar'] = 7
metrics.save()
self.assert_equals({'quux': 42, 'bar': 7}, metrics.as_dict())
def setUp(self):
self.super()
self.team = self.teh.create_team(name="The A-Team")
self.sprint = self.teh.create_sprint(name="Test Sprint",
start=now(), duration=7, team=self.team)
self.metrics = TeamMetrics(self.env, self.sprint, self.team)
self.metrics['quux'] = 42
self.metrics.save()
def _execute(self, team_controller, date_converter=None, as_key=None):
"""Execute the command saving the data to the Team Metrics
table, using the Team Metrics object"""
if not self.sprint.team and not self.team:
raise self.CommandError("No Team assigned to the given " \
"Sprint %s!?" % self.sprint.name)
from agilo.scrum.metrics.model import TeamMetrics
team_metrics = TeamMetrics(team_controller.env,
sprint=self.sprint,
team=self.team)
if team_metrics is not None:
team_metrics[self.metric] = self.value
team_metrics.save()
return team_metrics[self.metric]
def get_team_metrics(self):
"""
Return the team metrics object for this sprint or None if no team
is assigned for this sprint.
"""
metrics = None
if self.team != None:
# Avoid recursive imports
from agilo.scrum.metrics.model import TeamMetrics
metrics = TeamMetrics(self.env, sprint=self,
team=self.team)
return metrics
class TestTeamMetrics(AgiloTestCase):
"""Tests for the metrics model class TeamMetrics"""
def setUp(self):
self.super()
self.team = self.teh.create_team(name="The A-Team")
self.sprint = self.teh.create_sprint(name="Test Sprint",
start=now(), duration=7, team=self.team)
self.metrics = TeamMetrics(self.env, self.sprint, self.team)
self.metrics['quux'] = 42
self.metrics.save()
def test_keys_returns_all_metric_names(self):
self.assert_equals(set(['quux']), set(self.metrics.keys()))
self.metrics['foo'] = 21
self.assert_equals(set(['foo', 'quux']), set(self.metrics.keys()))
def test_metric_iterator_iterates_over_all_metric_names(self):
self.assert_equals(['quux'], [i for i in self.metrics])
def test_can_save_decimal_values_in_metrics(self):
self.metrics['foo'] = 4.2
self.metrics.save()
metrics = TeamMetrics(self.env, self.sprint, self.team)
self.assert_equals(4.2, metrics['foo'])
def test_can_load_metric_with_specifying_team_explicitely(self):
metrics = TeamMetrics(self.env, self.sprint)
self.assert_equals(42, metrics['quux'])
def test_delete_metric_is_automatically_persistant(self):
del self.metrics['quux']
self.assert_none(self.metrics['quux'])
metrics = TeamMetrics(self.env, self.sprint, self.team)
self.assert_none(metrics['quux'])
def test_can_handle_multiple_metrics_with_the_same_key_in_different_sprints(self):
second_sprint = self.teh.create_sprint(name="Second Sprint",
start=self.sprint.start, duration=5,
team=self.team)
metrics_key = 'quux'
second_metrics = TeamMetrics(self.env, second_sprint)
second_metrics[metrics_key] = 21
second_metrics.save()
metrics = TeamMetrics(self.env, self.sprint)
second_metrics = TeamMetrics(self.env, second_sprint)
self.assert_equals(42, metrics[metrics_key])
self.assert_equals(21, second_metrics[metrics_key])
def test_as_dict_serializes_all_metrics_entries(self):
self.sprint.team = self.team
metrics = TeamMetrics(self.env, self.sprint)
metrics['bar'] = 7
metrics.save()
self.assert_equals({'quux': 42, 'bar': 7}, metrics.as_dict())
def _execute(self, team_controller, date_converter=None,
as_key=None):
"""Execute the command saving the data to the Team Metrics
table, using the Team Metrics object"""
if not self.sprint.team and not self.team:
return None
from agilo.scrum.metrics.model import TeamMetrics
team_metrics = TeamMetrics(team_controller.env,
sprint=self.sprint,
team=self.team)
if team_metrics is not None:
return team_metrics[self.metric]
def test_can_handle_multiple_metrics_with_the_same_key_in_different_sprints(self):
second_sprint = self.teh.create_sprint(name="Second Sprint",
start=self.sprint.start, duration=5,
team=self.team)
metrics_key = 'quux'
second_metrics = TeamMetrics(self.env, second_sprint)
second_metrics[metrics_key] = 21
second_metrics.save()
metrics = TeamMetrics(self.env, self.sprint)
second_metrics = TeamMetrics(self.env, second_sprint)
self.assert_equals(42, metrics[metrics_key])
self.assert_equals(21, second_metrics[metrics_key])
def _execute(self,
metrics_controller,
date_converter=None,
as_key=None):
sprint_controller = metrics_controller.sprint_controller
cmd_class = SprintController.ListSprintsCommand
cmd = cmd_class(metrics_controller.env,
criteria={'team': self.team},
order_by=[Key.START])
cmd.native = True
sprints = sprint_controller.process_command(cmd)
metrics_by_sprint = list()
env = metrics_controller.env
for sprint in sprints:
metrics = TeamMetrics(env, sprint=sprint)
metrics_by_sprint.append((sprint, metrics))
return self.return_as_value_object(metrics_by_sprint)
def test_delete_metric_is_automatically_persistant(self):
del self.metrics['quux']
self.assert_none(self.metrics['quux'])
metrics = TeamMetrics(self.env, self.sprint, self.team)
self.assert_none(metrics['quux'])
def test_can_load_metric_with_specifying_team_explicitely(self):
metrics = TeamMetrics(self.env, self.sprint)
self.assert_equals(42, metrics['quux'])
def test_can_save_decimal_values_in_metrics(self):
self.metrics['foo'] = 4.2
self.metrics.save()
metrics = TeamMetrics(self.env, self.sprint, self.team)
self.assert_equals(4.2, metrics['foo'])
