clicks = SellerClick.objects.extra({'date' : "date(timestamp)"}).values('date').annotate(count=Count('timestamp'))
The model has a datetime field called timestamp that was are using. I first, convert the datetime field to just a date field. Then the rest is guessing. I need to group by, and then count how many objects are of each date.
So the desired result would be a date, then a count, based on how many objects have that date in the timestamp field.
I prefer to use annotate over extra
from django.db.models.expressions import RawSQL
SellerClick.objects.annotate(
date=RawSQL('date(date_joined)',[]),
).values('date').annotate(count=Count('date')))
You've got everything but an initial queryset there. The extra sql you're passing doesn't include a select so you need to give it something to act on.
clicks = SellerClick.objects.all()
.extra({'date' : "date(timestamp)"})
.values('date')
.annotate(count=Count('timestamp'))
Ref: StackOverflow: Count number of records by date in Django
Related
I am having this problem with prostgresql and django:
I have a lot of events that were created on a certain date at a certain time which is stored in a datetime field created .
I want to have aggregations based on the date part of the created field. The simplest examples is: how many event are in each day of this month?.
The created field is timezone aware. So the result should change depending on the timezone the user is in. For example if you created 2 events at 23:30 UTC time on 2017-10-02 if you view them from UTC-1 you should see them on 3rd of October at 00:30 and the totals should add for the 3rd.
I am struggling to find a solution to this problem that works with a lot of data. So doing for each day and SQL statement is not an option. I want something that translates into:
SELECT count(*) from table GROUP BY date
Now I found a solution for the first part of the problem:
from django.db import connection
truncate_date = connection.ops.date_trunc_sql('day', 'created')
queryset = queryset.extra({'day': truncate_date})
total_list = list(queryset.values('day').annotate(amount=Count('id')).order_by('day'))
Is there a way to add to this the timezone that should be used by the date_trunc_sql function to calculate the day? Or some other function before date_trunc_sql and then chain that one.
Thanks!
You're probably looking for this: timezone aware date_trunc function
However bear in mind this might conflict with how your django is configured. https://docs.djangoproject.com/en/1.11/topics/i18n/timezones/
Django 2.2+ supports the TruncDate database function with timezones
You can now do the following to :
import pytz
east_coast = pytz.timezone('America/New_York')
queryset.annotate(created_date=TruncDay("created", tzinfo=east_coast))
.values("created_date")
.order_by("created_date")
.annotate(count=Count("created_date"))
.order_by("-created_date")
I have used this query in my view..
temp2=transaction.objects.filter(user_id=client_obj,Date_of_trans.date()=rec_var1)[0].Trans_Amount
I need to compare a datetime field present in my model named Date_of_trans to a variable received from user but the code is not working... what query should be written?
This is basically a sql query. So you should think like that. How can you do this in sql. I mean what condition will you apply in sql. For finding records of particular date with datetime field you should check records between start of the day to end of the day.
try this
from datetime import datetime, time
temp2=transaction.objects.filter(user_id=client_obj,Date_of_trans>datetime.combine(rec_var1, time(0,0,0)), Date_of_trans <= datetime.combine(rec_var1, time(23,59,59)) )[0].Trans_Amount
The above code is written taking into consideration that rec_var1 is a date() object.
Here you check all transactions between start of the day, till end of the day. I think this will resolve your problem.
I've use datetime.combine function which combines date and time object to form datetime object which is required here.
Thanks
I'm working with an Article like model that has a DateTimeField(auto_now_add=True) to capture the publication date (pub_date). This looks something like the following:
class Article(models.Model):
text = models.TextField()
pub_date = models.DateTimeField(auto_now_add=True)
I want to do a query that counts how many article posts or entries have been added per day. In other words, I want to query the entries and group them by day (and eventually month, hour, second, etc.). This would look something like the following in the SQLite shell:
select pub_date, count(id) from "myapp_article"
where id = 1
group by strftime("%d", pub_date)
;
Which returns something like:
2012-03-07 18:08:57.456761|5
2012-03-08 18:08:57.456761|9
2012-03-09 18:08:57.456761|1
I can't seem to figure out how to get that result from a Django QuerySet. I am aware of how to get a similar result using itertools.groupby, but that isn't possible in this situation (explanation to follow).
The end result of this query will be used in a graph showing the number of posts per day. I'm attempting to use the Django Chartit package to achieve this goal. Chartit puts a constraint on the data source (DataPool). The source must be a Model, Manager, or QuerySet, so using itertools.groupby is not an option as far as I can tell.
So the question is... How do I group or aggregate the entries by day and end up with a QuerySet object?
Create an extra field that only store date data(not time) and annotate with Count:
Article.objects.extra({'published':"date(pub_date)"}).values('published').annotate(count=Count('id'))
Result will be:
published,count
2012-03-07,5
2012-03-08,9
2012-03-09,1
I am a starter in Django/Python.
I have a model MyModel. It has many fields of datetime, char, integer types. Now, I want a values list which has values of the datetime fields containing only the date parts.
I have tried using the dates function [reference] (https://docs.djangoproject.com/en/1.2/ref/models/querysets/#dates), but it works only with one field. I have multiple datetime fields and all have to be retrieved in the required format.
Basically, I want a Django equivalent of :
select stringfield1, date(datefield1), integerfield1, date(datefield2) from mymodel; (PostGreSQL)
Is this even possible? If it is, how should I proceed further?
I'm not sure if Django has a builtin way of doing this. You could use itertools.imap to lazily convert the fields in question into date objects:
from itertools import imap
values = MyModel.objects.values_list('stringfield1', 'datefield1',
'integerfield1', 'datefield2')
values = imap(lambda (s, d1, i, d2): (s, d1.date(), i, d2.date()), values)
(But note that after this you're not dealing with a ValuesListQuerySet anymore but with an itertools.imap object.)
In ,models i have
class pick:
t1 =models.DateTimeField(auto_now_add=True)
In views.
The date variable is in the format s="2010-01-01"
How o query the for the date now
pick.objects.filter(t1=date(s))
datetime.date() expected arguments are datetime.date(year, month, day), so creating a date object with s won't work. But you can use the date string directly in filter like
picks_at_date = pick.objects.filter(t1=s)
or when you try to find anything before or after that date
picks_before_date = pick.objects.filter(t1__lt=s)
or
picks_after_date = pick.objects.filter(t1__gt=s).
Django's "Making queries" Docs at Retrieving specific objects with filters has some good examples on making queries with date fields as well.