175 lines
7.6 KiB
Python
175 lines
7.6 KiB
Python
# -*- coding: utf-8 -*-
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from django.db.models import Q, Count
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import datetime
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import copy
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def _get_milestones_stats_for_backlog(project):
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"""
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Get collection of stats for each millestone of project.
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Data returned by this function are used on backlog.
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"""
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current_evolution = 0
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current_team_increment = 0
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current_client_increment = 0
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optimal_points_per_sprint = project.total_story_points / (project.total_milestones)
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future_team_increment = sum(project.future_team_increment.values())
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future_client_increment = sum(project.future_client_increment.values())
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milestones = project.milestones.order_by('estimated_start')
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for current_milestone in range(0, max(milestones.count(), project.total_milestones)):
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optimal_points = (project.total_story_points -
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(optimal_points_per_sprint * current_milestone))
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evolution = (project.total_story_points - current_evolution
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if current_evolution is not None else None)
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if current_milestone < milestones.count():
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ml = milestones[current_milestone]
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milestone_name = ml.name
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team_increment = current_team_increment
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client_increment = current_client_increment
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current_evolution += sum(ml.closed_points.values())
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current_team_increment += sum(ml.team_increment_points.values())
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current_client_increment += sum(ml.client_increment_points.values())
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else:
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milestone_name = "Future sprint"
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team_increment = current_team_increment + future_team_increment,
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client_increment = current_client_increment + future_client_increment,
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current_evolution = None
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yield {
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'name': milestone_name,
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'optimal': optimal_points,
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'evolution': evolution,
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'team-increment': team_increment,
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'client-increment': client_increment,
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}
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optimal_points -= optimal_points_per_sprint
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evolution = (project.total_story_points - current_evolution
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if current_evolution is not None else None)
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yield {
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'name': 'Project End',
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'optimal': optimal_points,
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'evolution': evolution,
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'team-increment': team_increment,
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'client-increment': client_increment,
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}
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def _count_status_object(status_obj, counting_storage):
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if status_obj.id in counting_storage:
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counting_storage[status_obj.id]['count'] += 1
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else:
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counting_storage[status_obj.id] = {}
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counting_storage[status_obj.id]['count'] = 1
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counting_storage[status_obj.id]['name'] = status_obj.name
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counting_storage[status_obj.id]['id'] = status_obj.id
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counting_storage[status_obj.id]['color'] = status_obj.color
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def _count_owned_object(user_obj, counting_storage):
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if user_obj:
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if user_obj.id in counting_storage:
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counting_storage[user_obj.id]['count'] += 1
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else:
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counting_storage[user_obj.id] = {}
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counting_storage[user_obj.id]['count'] = 1
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counting_storage[user_obj.id]['username'] = user_obj.username
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counting_storage[user_obj.id]['name'] = user_obj.get_full_name()
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counting_storage[user_obj.id]['id'] = user_obj.id
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counting_storage[user_obj.id]['color'] = user_obj.color
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else:
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if 0 in counting_storage:
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counting_storage[0]['count'] += 1
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else:
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counting_storage[0] = {}
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counting_storage[0]['count'] = 1
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counting_storage[0]['username'] = 'Unassigned'
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counting_storage[0]['name'] = 'Unassigned'
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counting_storage[0]['id'] = 0
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counting_storage[0]['color'] = 'black'
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def get_stats_for_project_issues(project):
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project_issues_stats = {
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'total_issues': 0,
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'opened_issues': 0,
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'closed_issues': 0,
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'issues_per_type': {},
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'issues_per_status': {},
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'issues_per_priority': {},
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'issues_per_severity': {},
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'issues_per_owner': {},
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'issues_per_assigned_to': {},
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'last_four_weeks_days': {
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'by_open_closed': {'open': [], 'closed': []},
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'by_severity': {},
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'by_priority': {},
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'by_status': {},
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}
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}
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for issue in project.issues.all().prefetch_related('status', 'priority', 'type', 'severity', 'owner',
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'assigned_to'):
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project_issues_stats['total_issues'] += 1
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if issue.status.is_closed:
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project_issues_stats['closed_issues'] += 1
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else:
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project_issues_stats['opened_issues'] += 1
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_count_status_object(issue.type, project_issues_stats['issues_per_type'])
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_count_status_object(issue.status, project_issues_stats['issues_per_status'])
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_count_status_object(issue.priority, project_issues_stats['issues_per_priority'])
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_count_status_object(issue.severity, project_issues_stats['issues_per_severity'])
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_count_owned_object(issue.owner, project_issues_stats['issues_per_owner'])
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_count_owned_object(issue.assigned_to, project_issues_stats['issues_per_assigned_to'])
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for severity in project_issues_stats['issues_per_severity'].values():
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project_issues_stats['last_four_weeks_days']['by_severity'][severity['id']] = copy.copy(severity)
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del(project_issues_stats['last_four_weeks_days']['by_severity'][severity['id']]['count'])
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project_issues_stats['last_four_weeks_days']['by_severity'][severity['id']]['data'] = []
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for priority in project_issues_stats['issues_per_priority'].values():
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project_issues_stats['last_four_weeks_days']['by_priority'][priority['id']] = copy.copy(priority)
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del(project_issues_stats['last_four_weeks_days']['by_priority'][priority['id']]['count'])
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project_issues_stats['last_four_weeks_days']['by_priority'][priority['id']]['data'] = []
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for x in range(27, -1, -1):
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day = datetime.date.today() - datetime.timedelta(days=x)
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next_day = day + datetime.timedelta(days=1)
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project_issues_stats['last_four_weeks_days']['by_open_closed']['open'].append(
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project.issues.filter(created_date__gte=day, created_date__lt=next_day).count()
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)
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project_issues_stats['last_four_weeks_days']['by_open_closed']['closed'].append(
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project.issues.filter(finished_date__gte=day, finished_date__lt=next_day).count()
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)
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open_this_day = project.issues.filter(created_date__lt=next_day)
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open_this_day = open_this_day.filter(Q(finished_date__gt=day) | Q(finished_date__isnull=True))
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for severity in project_issues_stats['last_four_weeks_days']['by_severity']:
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project_issues_stats['last_four_weeks_days']['by_severity'][severity]['data'].append(
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open_this_day.filter(severity_id=severity).count()
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)
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for priority in project_issues_stats['last_four_weeks_days']['by_priority']:
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project_issues_stats['last_four_weeks_days']['by_priority'][priority]['data'].append(
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open_this_day.filter(priority_id=priority).count()
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)
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return project_issues_stats
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def get_stats_for_project(project):
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project_stats = {
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'name': project.name,
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'total_milestones': project.total_milestones,
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'total_points': project.total_story_points,
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'closed_points': sum(project.closed_points.values()),
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'defined_points': sum(project.defined_points.values()),
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'assigned_points': sum(project.assigned_points.values()),
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'milestones': _get_milestones_stats_for_backlog(project)
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}
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return project_stats
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