I'm trying to display the expiry date of a bonus from within a Django template. At the moment the opening_date is stored as a datefield and we store the bonus term as an integerfield. Unfortunately just trying to add the bonus term to the opening date fails and the furthest I have got so far is:
{{product_form.instance.opening_date|add:product_form.instance.bonus_term}}
I have tried just adding it to the month but unfortunately I need the whole date returned to display.
For a better idea of what I want is say the opening date was 01/01/2012 and the bonus term was 12, I want to display the expiry date of 01/01/2013. I realise this is probably better off being in the database but due to the way it has been previously set up there is a large amount of existing data that wouldn't have it.
Thanks.
I think that, for your scenario, the most elegant solution is to create a model method in your model that calcule expire date, then call the method in template:
In model:
class product(models.Model):
opening_date = ...
bonus_term = ...
def expire_date( self ):
return self.opening_date + timedelta( days = self.bonus_term )
In template:
{{product_form.instance.expire_date}}
I'm sure that you will call this method in more other lines of your code.
Related
My model has a DateTimeField and a DurationField with the time elapsed from the last record inserted to the current one. I'm trying to remove the DurationField but I must be able to calculate the time elapsed "on the fly"..
This question Difference with previous object in django queryset annotation is quite similar to my problem. The best answer suggests using the Django Window function introduced with the version 2.0. I found that the Lead function works only using integers, but I have a DateTimeField and not an IntegerField, so I tried to convert/cast my field to a timestamp.
This is my Model:
class Event(models.Model):
date = models.DateTimeField()
time_elapsed = models.DurationField() # TO BE REMOVED
Here the actual queryset:
Event.objects
.annotate(ts=Cast(Extract('date','epoch'),IntegerField()))
.annotate(next_val=Window(
expression=Lead('ts', offset=1,default=0),
order_by=F('date').asc()),
difference=F('next_val')-F('ts'))
It nearly works (it seems), but it takes the next object and does the difference, while I need the PREVIOUS object to subtract the current one. I can't find a solution for this.
Many thanks!
UPDATE
Thanks to #radoh I found the missed function (Lag), unfortunately I haven't reached my goal, yet.
Here the actual queryset:
qs = Event.objects
.annotate(ts=Cast(Extract('date','epoch'),IntegerField()))
.annotate(prev_ts=Window(expression=Lag('ts',offset=1,default=0),order_by=F('date').asc()),
diff=F('ts')-F('prev_ts'))
My diff is now a timedelta (seconds between Event(s)), and now I would want to exclude events with a value less than 36 hours. I tried to go strait chaining filter() or exclude() to my QuerySet, but it seems that is not supported :-)
qs.exclude(diff__lt=129600)
ProgrammingError: window functions are not allowed in WHERE
I found that Window functions are not allowed but I'm wondering if there is another method to do what I want. Any suggestions?
Thanks
I'm using Django ORM to access database models, it works well when I use objects.all(), it returns all the objects in the database. But when I want to filter on a date I add a filter using the new date type it doesnt return anything, I get a blank QuerySet. After searching and trying different things for many hours I discovered object.filter(date__gte=date) works.
For example:
This works, I get all the records where date = today:
today = date.today()
Model.objects.filter(date__gte=today)
These do not work, they return empty QuerySets:
Model.objects.filter(date__contains=today)
Model.objects.filter(date__startswith=today)
Model.objects.filter(date__date=date.today())
My question is what am I doing wrong that one type of query works but not the other, when they should all return the same data?
You can do it like this(Reference) for DateTimeField:
Model.objects.filter(date__date=datetime.today())
If its a DateField, then simply do:
Model.objects.filter(date=datetime.today())
I'm attempting to use Django to build a simple website. I have a set of blog posts that have a date field attached to indicate the day they were published. I have a table that contains a list of dates and temperatures. On each post, I would like to display the temperature on the day it was published.
The two models are as follows:
class Post(models.Model):
title = models.CharField(max_length=200)
text = models.TextField()
date = models.DateField()
class Temperature(models.Model):
date = models.DateField()
temperature = models.IntegerField()
I would like to be able to reference the temperature field from the second table using the date field from the first. Is this possible?
In SQL, this is a simple query. I would do the following:
Select temperature from Temperature t join Post p on t.date = p.date
I think I really have two questions:
Is it possible to brute force this, even if it's not best practice? I've googled a lot and tried using raw sql and objects.extra, but can't get them to do what I want. I'm also wary of relying on them for the long haul.
Since this seems to be a simple task, it seems likely that I'm overcomplicating it by having my models set up sub-optimally. Is there something I'm missing about how I should design my models? That is, what's the best practice for doing something like this? (I've successfully pulled the temperature into my blog post by using a foreign key in the Temperature model. But if I go that route, I don't see how I could easily make sure that my temperature dates get the correct foreign key assigned to them so that the temperature date maps to the correct post date.)
There will likely be better answers than this one, but I'll throw in my 2ยข anyway.
You could try a property inside the Post model that returns the temperature:
#property
def temperature(self):
try:
return Temperature.objects.values_list('temperature',flat=True).get(date=self.date)
except:
return None
(code not tested)
About your Models:
If you will be displaying the temperature in a Post list (a list of Posts with their temperatures), then maybe it will be simpler to code and a faster query to just add a temperature field to your Post model.
You can keep the Temperature model. Then:
Assuming you have the temperature data already present in you Temperature model at the time of Post instance creation, you can fill that new field in a custom save method.
If you get temperature data after Post creation, you cann fill in that new temperature field through a background job (maybe triggered by crontab or similar).
Sometimes database orthogonality (not repeating info in many tables) is not the best strategy. Just something to think about, depending on how often you will be querying the Post models and how simple you want to keep that query code.
I think this might be a basic approach to solve the problem
post_dates = Post.objects.all().values('date')
result_temprature = Temperature.objects.filter(date__in = post_dates).values('temperature')
Subqueries could be your friend here. Something like the following should work:
from django.db.models import OuterRef, Subquery
temps = Temperature.objects.filter(date=OuterRef('date'))
posts = Post.objects.annotate(temperature=Subquery(temps.values('temperature')[:1]))
for post in posts:
temperature = post.temperature
Then you can just iterate through posts and access the temperature off each post instance
I encountered a model like this:
class Task(models.Model):
timespan = models.IntegerField(null=True, blank=True)
class Todo(models.Model):
limitdate = models.DateTimeField(null=True, blank=True)
task = models.ForeignKey(Task)
I need to extract all Todos with a limitdate that is lower or equal to today's date + a timespan defined in the related Task model.
Something like (dummy example):
today = datetime.datetime.now()
Todo.objects.filter(limitdate__lte=today + F('task__timespan'))
Now, I can do that with a loop but I'm looking for a way to do it with F(), and I can't find one.
I'm starting to wonder if I can do that with F(). Maybe I should use extra ?
Please note that I don't have the luxury of changing the model code.
The main issue is that DB does not support date + integer and its hard to write ORM query to date + integer::interval, for PostgreSQL for example, where integer is the value of the task_timespan column, in days count.
However, as
limitdate <= today + task__timespan equals to
limitdate - today <= task__timespan
We could transform the query to
Todo.objects.filter(task__timespan__gte=F('limitdate') - today).distinct()
thus the SQL becomes something like integer >= date - date, that should work in PostgreSQL because date - date outputs interval which could be compared w/ integer days count.
In other DBs such as SqLite, it's complicated because dates need to be cast w/ julianday() at first...and I think you need to play w/ extra() or even raw() to get the correct SQL.
Also, as Chris Pratt suggests, if you could use timestamp in all relative fields, the query task might become easier because of less limited add and subtract operations.
P.S. I don't have env to verify it now, you could try it first.
The problem is that there's no TIMESPAN type on a database. So, F cannot return something that you can actually work with in this context. I'm not sure what type of field you actually used in your database, but the only way I can think of to do this is to the store the timespan as an integer consisting of seconds, add that to "today" as a timestamp, and then convert it back into a datetime which you can use to compare with limitdate. However, I'm unsure if Django will accept such complex logic with F.
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