Refactoring backlog graph stats generation

remotes/origin/enhancement/email-actions
Jesús Espino 2013-11-05 11:51:23 +01:00
parent 5ce5c8a17f
commit 8033c3b31c
1 changed files with 29 additions and 28 deletions

View File

@ -29,45 +29,46 @@ class ProjectViewSet(ModelCrudViewSet):
'name': project.name, 'name': project.name,
'total_milestones': project.total_milestones, 'total_milestones': project.total_milestones,
'total_points': project.total_story_points, 'total_points': project.total_story_points,
'milestones': [] 'milestones': self._milestones_stats(project)
} }
return Response(project_stats)
current_milestone = 0 def _milestones_stats(self, project):
current_evolution = 0 current_evolution = 0
current_team_increment = 0 current_team_increment = 0
current_client_increment = 0 current_client_increment = 0
optimal_points_per_sprint = project.total_story_points / (project.total_milestones - 1) optimal_points_per_sprint = project.total_story_points / (project.total_milestones - 1)
future_team_increment = sum(project.future_team_increment.values())
future_client_increment = sum(project.future_client_increment.values())
for ml in project.milestones.all(): milestones = project.milestones.order_by('estimated_start')
for current_milestone in range(0, max(milestones.count(), project.total_milestones)):
optimal_points = project.total_story_points - (optimal_points_per_sprint * current_milestone) optimal_points = project.total_story_points - (optimal_points_per_sprint * current_milestone)
project_stats['milestones'].append({ evolution = project.total_story_points - current_evolution if current_evolution is not None else None
'name': ml.name,
'optimal': optimal_points, if current_milestone < milestones.count():
'evolution': project.total_story_points - current_evolution, ml = milestones[current_milestone]
'team-increment': current_team_increment, milestone_name = ml.name
'client-increment': current_client_increment, team_increment = current_team_increment
}) client_increment = current_client_increment
current_milestone += 1
current_evolution += sum(ml.closed_points.values()) current_evolution += sum(ml.closed_points.values())
current_team_increment += sum(ml.team_increment_points.values()) current_team_increment += sum(ml.team_increment_points.values())
current_client_increment += sum(ml.client_increment_points.values()) current_client_increment += sum(ml.client_increment_points.values())
else:
if project.total_milestones > project.milestones.all().count(): milestone_name = "Future sprint"
for x in range(project.milestones.all().count(), project.total_milestones): team_increment = current_team_increment + future_team_increment,
optimal_points = project.total_story_points - (optimal_points_per_sprint * current_milestone) client_increment = current_client_increment + future_client_increment,
if current_evolution is not None:
current_evolution = project.total_story_points - current_evolution
project_stats['milestones'].append({
'name': "Future sprint",
'optimal': optimal_points,
'evolution': current_evolution,
'team-increment': current_team_increment + sum(project.future_team_increment.values()),
'client-increment': current_client_increment + sum(project.future_client_increment.values()),
})
current_milestone += 1
current_evolution = None current_evolution = None
return Response(project_stats) yield {
'name': milestone_name,
'optimal': optimal_points,
'evolution': evolution,
'team-increment': team_increment,
'client-increment': client_increment,
}
def get_queryset(self): def get_queryset(self):
qs = super(ProjectViewSet, self).get_queryset() qs = super(ProjectViewSet, self).get_queryset()