Hi, I am new to Django and Django ORM. I am using Mongo DB as backed with DJANGO connector which supports Django native ORM.
-- I have to generate a percentage metric for the last 30 days. I using the following function. CAn you please suggest a better way. The function is taking too long to execute.
def calculate_percentage(neumerator, denominator): percentage = (neumerator / denominator) * 100 return percentage def test_percentage(): percentage_metric_details = [] counter = 1 today_ISO = datetime.datetime.fromtimestamp(time.time()).strftime('%Y-%m-%dT%H:%M:%S') while counter < 31: todays_first_bucket_date = datetime.datetime.now() second_bucket_start = todays_first_bucket_date - timedelta(days=counter) last_ISO = datetime.datetime.fromtimestamp(second_bucket_start.timestamp()).strftime('%Y-%m-%dT%H:%M:%S') last_ISO = str(last_ISO).split("T") last_ISO = last_ISO[0] + " 00:00:00.000000" print("todays first bucket", todays_first_bucket_date) print("start date", today_ISO) print("last date", last_ISO) counter = counter + 1 total_count = ArticleStatus.objects.filter( created_on__lte=today_ISO, created_on__gte=last_ISO).count() total_count_approved = ArticleStatus.objects.filter( created_on__lte=today_ISO, created_on__gte=last_ISO, reasonForReject="accepted").count() total_pending_count = ArticleStatus.objects.filter( created_on__lte=today_ISO, created_on__gte=last_ISO, reasonForReject="").count() print(total_count_approved) accept_percentage = calculate_percentage(total_count_approved, total_count) pending_percentage = calculate_percentage(total_pending_count, total_count) percentage_metric_details.append({ "total_count": total_count, "approved_percentage": accept_percentage, "pending_percentage": pending_percentage }) todays_first_bucket_date = last_ISO today_ISO = last_ISO return percentage_metric_details z = test_percentage() print(z)
This is my output. I will be showing it UI.
RuntimeWarning)
v/lib/python3.7/site-packages/django/db/models/fields/__init__.py:1421: RuntimeWarning: DateTimeField NewsAPIOrg_new.publishedAt received a naive datetime (2019-05-04 00:00:00) while time zone support is active.
RuntimeWarning)
approved_percentage date noaction_percentage reject+percentage total_count
0 0.000000 2019-06-03T06:16:56 90.485830 1.417004 988
1 0.000000 2019-06-02 00:00:00.000000 89.648799 0.092421 1082
2 0.000000 2019-06-01 00:00:00.000000 88.261997 0.064851 1542
3 0.186800 2019-05-31 00:00:00.000000 87.982565 0.435866 1606
4 0.544465 2019-05-30 00:00:00.000000 84.996975 0.362976 1653
5 0.436443 2019-05-29 00:00:00.000000 84.451718 0.545554 1833
6 0.242915 2019-05-28 00:00:00.000000 85.748988 0.161943 1235
7 0.000000 2019-05-27 00:00:00.000000 89.356984 0.000000 902
8 0.000000 2019-05-26 00:00:00.000000 87.864964 0.000000 1096
9 0.055928 2019-05-25 00:00:00.000000 88.926174 0.000000 1788
10 0.000000 2019-05-24 00:00:00.000000 89.312977 0.000000 1048
Thanks.
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