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chore: add labels data in cycles (#1223)

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* dev: add labels data for all cycles

* dev: add assignees and labels percentage

* dev: initial peice on cycle burn down chart

* dev: cycles burn down chat
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pablohashescobar 2023-06-16 18:57:49 +05:30 committed by GitHub
parent e9a0eb87cc
commit 6b1d20449b
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3 changed files with 237 additions and 11 deletions
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23
apiserver/plane/api/serializers/cycle.py
View File

@ -1,3 +1,6 @@
# Django imports
from django.db.models.functions import TruncDate
# Third party imports
from rest_framework import serializers
@ -20,10 +23,10 @@ class CycleSerializer(BaseSerializer):
unstarted_issues = serializers.IntegerField(read_only=True)
backlog_issues = serializers.IntegerField(read_only=True)
assignees = serializers.SerializerMethodField(read_only=True)
labels = serializers.SerializerMethodField(read_only=True)
total_estimates = serializers.IntegerField(read_only=True)
completed_estimates = serializers.IntegerField(read_only=True)
started_estimates = serializers.IntegerField(read_only=True)
workspace_detail = WorkspaceLiteSerializer(read_only=True, source="workspace")
project_detail = ProjectLiteSerializer(read_only=True, source="project")
@ -45,6 +48,24 @@ class CycleSerializer(BaseSerializer):
return unique_list
def get_labels(self, obj):
labels = [
{
"name": label.name,
"color": label.color,
"id": label.id,
}
for issue_cycle in obj.issue_cycle.all()
for label in issue_cycle.issue.labels.all()
]
# Use a set comprehension to return only the unique objects
unique_objects = {frozenset(item.items()) for item in labels}
# Convert the set back to a list of dictionaries
unique_list = [dict(item) for item in unique_objects]
return unique_list
class Meta:
model = Cycle
fields = "__all__"

175
apiserver/plane/api/views/cycle.py
View File

@ -1,5 +1,6 @@
# Python imports
import json
from datetime import datetime, timedelta
# Django imports
from django.db import IntegrityError
@ -14,6 +15,7 @@ from django.db.models import (
Prefetch,
Sum,
)
from django.db.models.functions import TruncDate
from django.core import serializers
from django.utils import timezone
from django.utils.decorators import method_decorator
@ -41,10 +43,12 @@ from plane.db.models import (
CycleFavorite,
IssueLink,
IssueAttachment,
Label,
)
from plane.bgtasks.issue_activites_task import issue_activity
from plane.utils.grouper import group_results
from plane.utils.issue_filters import issue_filters
from plane.utils.analytics_plot import burndown_plot
class CycleViewSet(BaseViewSet):
@ -148,12 +152,18 @@ class CycleViewSet(BaseViewSet):
queryset=User.objects.only("avatar", "first_name", "id").distinct(),
)
)
.prefetch_related(
Prefetch(
"issue_cycle__issue__labels",
queryset=Label.objects.only("name", "color", "id").distinct(),
)
)
.order_by("-is_favorite", "name")
.distinct()
)
def list(self, request, slug, project_id):
try:
# try:
queryset = self.get_queryset()
cycle_view = request.GET.get("cycle_view", False)
if not cycle_view:
@ -174,8 +184,76 @@ class CycleViewSet(BaseViewSet):
start_date__lte=timezone.now(),
end_date__gte=timezone.now(),
)
data = CycleSerializer(queryset, many=True).data
if len(data):
assignee_distribution = (
Issue.objects.filter(
issue_cycle__cycle_id=data[0]["id"],
workspace__slug=slug,
project_id=project_id,
)
.annotate(first_name=F("assignees__first_name"))
.annotate(last_name=F("assignees__last_name"))
.annotate(assignee_id=F("assignees__id"))
.values("first_name", "last_name", "assignee_id")
.annotate(total_issues=Count("assignee_id"))
.annotate(
completed_issues=Count(
"assignee_id",
filter=Q(completed_at__isnull=False),
)
)
.annotate(
pending_issues=Count(
"assignee_id",
filter=Q(completed_at__isnull=True),
)
)
.order_by("first_name", "last_name")
)
label_distribution = (
Issue.objects.filter(
issue_cycle__cycle_id=data[0]["id"],
workspace__slug=slug,
project_id=project_id,
)
.annotate(label_name=F("labels__name"))
.annotate(color=F("labels__color"))
.annotate(label_id=F("labels__id"))
.values("label_name", "color", "label_id")
.annotate(total_issues=Count("label_id"))
.annotate(
completed_issues=Count(
"label_id",
filter=Q(completed_at__isnull=False),
)
)
.annotate(
pending_issues=Count(
"label_id",
filter=Q(completed_at__isnull=True),
)
)
.order_by("label_name")
)
data[0]["distribution"] = {
"assignees": assignee_distribution,
"labels": label_distribution,
"completion_chart": {},
}
if data[0]["start_date"] and data[0]["end_date"]:
data[0]["distribution"]["completion_chart"] = burndown_plot(
queryset=queryset.first(),
slug=slug,
project_id=project_id,
cycle_id=data[0]["id"],
)
return Response(
CycleSerializer(queryset, many=True).data, status=status.HTTP_200_OK
data, status=status.HTTP_200_OK
)
# Upcoming Cycles
@ -198,6 +276,7 @@ class CycleViewSet(BaseViewSet):
end_date=None,
start_date=None,
)
return Response(
CycleSerializer(queryset, many=True).data, status=status.HTTP_200_OK
)
@ -214,12 +293,12 @@ class CycleViewSet(BaseViewSet):
return Response(
{"error": "No matching view found"}, status=status.HTTP_400_BAD_REQUEST
)
except Exception as e:
capture_exception(e)
return Response(
{"error": "Something went wrong please try again later"},
status=status.HTTP_400_BAD_REQUEST,
)
# except Exception as e:
# print(e)
# return Response(
# {"error": "Something went wrong please try again later"},
# status=status.HTTP_400_BAD_REQUEST,
# )
def create(self, request, slug, project_id):
try:
@ -282,6 +361,86 @@ class CycleViewSet(BaseViewSet):
status=status.HTTP_400_BAD_REQUEST,
)
def retrieve(self, request, slug, project_id, pk):
try:
queryset = self.get_queryset().get(pk=pk)
assignee_distribution = (
Issue.objects.filter(
issue_cycle__cycle_id=pk,
workspace__slug=slug,
project_id=project_id,
)
.annotate(first_name=F("assignees__first_name"))
.annotate(last_name=F("assignees__last_name"))
.annotate(assignee_id=F("assignees__id"))
.values("first_name", "last_name", "assignee_id")
.annotate(total_issues=Count("assignee_id"))
.annotate(
completed_issues=Count(
"assignee_id",
filter=Q(completed_at__isnull=False),
)
)
.annotate(
pending_issues=Count(
"assignee_id",
filter=Q(completed_at__isnull=True),
)
)
.order_by("first_name", "last_name")
)
label_distribution = (
Issue.objects.filter(
issue_cycle__cycle_id=pk,
workspace__slug=slug,
project_id=project_id,
)
.annotate(label_name=F("labels__name"))
.annotate(color=F("labels__color"))
.annotate(label_id=F("labels__id"))
.values("label_name", "color", "label_id")
.annotate(total_issues=Count("label_id"))
.annotate(
completed_issues=Count(
"label_id",
filter=Q(completed_at__isnull=False),
)
)
.annotate(
pending_issues=Count(
"label_id",
filter=Q(completed_at__isnull=True),
)
)
.order_by("label_name")
)
data = CycleSerializer(queryset).data
data["distribution"] = {
"assignees": assignee_distribution,
"labels": label_distribution,
"completion_chart": {},
}
if queryset.start_date and queryset.end_date:
data["distribution"]["completion_chart"] = burndown_plot(
queryset=queryset, slug=slug, project_id=project_id, cycle_id=pk
)
return Response(
data,
status=status.HTTP_200_OK,
)
except Exception as e:
capture_exception(e)
return Response(
{"error": "Something went wrong please try again later"},
status=status.HTTP_400_BAD_REQUEST,
)
class CycleIssueViewSet(BaseViewSet):
serializer_class = CycleIssueSerializer

46
apiserver/plane/utils/analytics_plot.py
View File

@ -1,11 +1,16 @@
# Python imports
from itertools import groupby
from datetime import timedelta
# Django import
from django.db import models
from django.db.models.functions import TruncDate
from django.db.models import Count, F, Sum, Value, Case, When, CharField
from django.db.models.functions import Coalesce, ExtractMonth, ExtractYear, Concat
# Module imports
from plane.db.models import Issue
def build_graph_plot(queryset, x_axis, y_axis, segment=None):
@ -74,3 +79,44 @@ def build_graph_plot(queryset, x_axis, y_axis, segment=None):
else:
sorted_data = dict(sorted(grouped_data.items(), key=lambda x: (x[0] == "None", x[0])))
return sorted_data
def burndown_plot(queryset, slug, project_id, cycle_id):
# Get all dates between the two dates
date_range = [
queryset.start_date + timedelta(days=x)
for x in range((queryset.end_date - queryset.start_date).days + 1)
]
chart_data = {str(date): 0 for date in date_range}
# Total Issues in Cycle
total_issues = queryset.total_issues
completed_issues_distribution = (
Issue.objects.filter(
workspace__slug=slug,
project_id=project_id,
issue_cycle__cycle_id=cycle_id,
)
.annotate(date=TruncDate("completed_at"))
.values("date")
.annotate(total_completed=Count("id"))
.values("date", "total_completed")
.order_by("date")
)
for date in date_range:
cumulative_pending_issues = total_issues
total_completed = 0
total_completed = sum(
[
item["total_completed"]
for item in completed_issues_distribution
if item["date"] is not None and item["date"] <= date
]
)
cumulative_pending_issues -= total_completed
chart_data[str(date)] = cumulative_pending_issues
return chart_data