I'm using autocomplete_light.MultipleChoiceField for multiple choice field. I'm able to get dropdown populated with values and for each value i need to enter the text and select values.
If I need to select 10 values from the drop down i need to type 10 times. Is there a way to enable/allow multiple select from download so that user needn't type in the regex in search field 10 times?
class HostGroupModelForm( autocomplete_light.ModelForm ):
hosts=autocomplete_light.MultipleChoiceField('HostAutocomplete')
class HostAutocomplete( autocomplete_light.AutocompleteModelBase ):
search_fields = [ 'hostname' ]
limit_choices = 75
choices = Host.objects.all()
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I show a model of sales that can be aggregated by different fields through a form. Products, clients, categories, etc.
view_by_choice = filter_opts.cleaned_data["view_by_choice"]
sales = sales.values(view_by_choice).annotate(........).order_by(......)
In the same form I have a string input where the user can filter the results. By "product code" for example.
input_code = filter_opts.cleaned_data["filter_code"]
sales = sales.filter(prod_code__icontains=input_code)
What I want to do is filter the queryset "sales" by the input_code, defining the field dynamically from the view_by_choice variable.
Something like:
sales = sales.filter(VARIABLE__icontains=input_code)
Is it possible to do this? Thanks in advance.
You can make use of dictionary unpacking [PEP-448] here:
sales = sales.filter(
**{'{}__icontains'.format(view_by_choice): input_code}
)
Given that view_by_choice for example contains 'foo', we thus first make a dictionary { 'foo__icontains': input_code }, and then we unpack that as named parameter with the two consecutive asterisks (**).
That being said, I strongly advice you to do some validation on the view_by_choice: ensure that the number of valid options is limited. Otherwise a user might inject malicious field names, lookups, etc. to exploit data from your database that should remain hidden.
For example if you model has a ForeignKey named owner to the User model, he/she could use owner__email, and thus start trying to find out what emails are in the database by generating a large number of queries and each time looking what values that query returned.
I have a big Django database table which has more than 50 columns. I take input from the user (in array) which columns he wants to see in the search results. I am unable to map the user selected columns to the database.
ticker_details = ticker_quotes.objects.filter(mkt_cap__lte = float(20))[:100]
if(len(ticker_details) > 0):
# print("length: ",len(data))
for item in ticker_details:
try:
history[(item.symbol_id)] = {"title" : item.symbol_id, "change" : item.change} # How to select the database column using variable
except:
pass
self.context["detail"] = history
in the above code, I want to select the columns based on the user input but I get error when I try to access the column name using string variable.
I got the answer. We can use getattr(model, fieldtoget) python function.
the above code will look like:
ticker_details = ticker_quotes.objects.filter(mkt_cap__lte = float(20))[:100]
if(len(ticker_details) > 0):
# print("length: ",len(data))
for item in ticker_details:
try:
history[(item.symbol_id)] = {"title" : item.symbol_id, "change" : getattr(item, "change")} #
except:
pass
self.context["detail"] = history
I have 3 tables:
Truck with the fields: id, name....
Menu with the fields: id, itemname, id_foodtype, id_truck...
Foodtype with the fields: id, type...
I want to get a summary like:
id name total
10 Alcoholic drink 0
5 Appetizer 11
My problem is to return the results with 0 elements.
I tried an SQL query like this:
SELECT
ft.id, ft.name, COUNT(me.id) total
FROM
foodtype ft LEFT JOIN menu me
ON ft.id = me.id_foodtype
LEFT JOIN truck tr
ON tr.id = me.id_truck AND tr.id = 3
GROUP BY ft.id, ft.name
ORDER BY ft.name
or a query in Django
Menu.objects.filter(id_truck=3).values("id_foodtype").annotate(cnt=Count("id_foodtype"))
But, neither is displaying the results with Zero elements.
At the moment to convert this query to Python code, any of my queries return the exact result that I expected.
How can I return results with the Left Join including the foodtypes with zero elements in the menu?
The direction of LEFT JOIN depends on the object, where you start the query. If it start on Menu you will never see a FoodType unused by selected Menu items. Then is important to filter (by Truck in your case) such way that also null value Menu.id is allowed in order to can get Count == 0.
from django.db.models import Q
qs = (
FoodType.objects
.filter(Q(menu_set__id_truck=3) | Q(menu_set__id__isnull=True))
.values() # not necessary, but useful if you want a dict, not a Model object
.annotate(cnt=models.Count("menu_set__id"))
)
Verify:
>>> print(str(qs.query))
SELECT foodtype.id, foodtype..., COUNT(menu.id) AS cnt
FROM foodtype
LEFT OUTER JOIN menu ON (foodtype.id = menu.id_foodtype)
WHERE _menu.id_truck = 3 OR menu.id IS NULL)
GROUP BY foodtype.id
It works with the current newest and oldest Django 2.0b1 and 1.8.
The query is the same with or without the line .values(). The results are dictionaries or FoodType objects with a cnt attribute.
Footnotes:
The name menu_set should be replaced by the real related_name of foreign key id_foodtype if you have defined the related_name.
class Menu(models.Model):
id_foodtype = models.ForeignKey('FoodType', on_delete=models.DO_NOTHING,
db_column='id_foodtype', related_name='menu_set'))
...
If you start a new project I recommend to rename the foreign key to a name without "id" and the db_column field is with "id". Then menu_item.foodtype is a Food object and menu_item.id_foodtype its id.
I want to execute a simple query like:
select *,count('id') from menu_permission group by menu_id
In Django format I have tried:
MenuPermission.objects.all().values('menu_id').annotate(Count('id))
It selects only menu_id. The executed query is:
SELECT `menu_permission`.`menu_id`, COUNT(`menu_permission`.`id`) AS `id__count` FROM `menu_permission` GROUP BY `menu_permission`.`menu_id`
But I need other fields also. If I try:
MenuPermission.objects.all().values('id','menu_id').annotate(Count('id))
It adds 'id' in group by condition.
GROUP BY `menu_permission`.`id`
As a result I am not getting the expected result. How I can get all all fields in the output but group by a single one?
You can try subqueries to do what you need.
In my case I have two tables: Item and Transaction where item_id links to Item
First, I prepare Transaction subquery with group by item_id where I sum all amount fields and mark item_id as pk for outer query.
per_item_total=Transaction.objects.values('item_id').annotate(total=Sum('amount')).filter(item_id=OuterRef('pk'))
Then I select all rows from item plus subquery result as total filed.
items_with_total=Item.objects.annotate(total=Subquery(per_item_total.values('total')))
This produces the following SQL:
SELECT `item`.`id`, {all other item fields},
(SELECT SUM(U0.`amount`) AS `total` FROM `transaction` U0
WHERE U0.`item_id` = `item`.`id` GROUP BY U0.`item_id` ORDER BY NULL) AS `total` FROM `item`
You are trying to achieve this SQL:
select *, count('id') from menu_permission group by menu_id
But normally SQL requires that when a group by clause is used you only include those column names in the select that you are grouping by. This is not a django matter, but that's how SQL group by works.
The rows are grouped by those columns so those columns can be included in select and other columns can be aggregated if you want them to into a value. You can't include other columns directly as they may have more than one value (since the rows are grouped).
For example if you have a column called "permission_code", you could ask for an array of the values in the "permission_code" column when the rows are grouped by menu_id.
Depending on the SQL flavor you are using, this could be in PostgreSQL something like this:
select menu_id, array_agg(permission_code), count(id) from menu_permissions group by menu_id
Similary django queryset can be constructed for this.
Hopefully this helps, but if needed please share more about what you need to do and what your data models are.
The only way currently that it works as expected is to hve your query based on the model you want the GROUP BY to be based on.
In your case it looks like you have a Menu model (menu_id field foreign key) so doing this would give you what you want and will allow getting other aggregate information from your MenuPermission model but will only group by the Menu.id field:
Menu.objects.annotate(perm_count=Count('menupermission__id')).values('perm_count')
Of course there is no need for the "annotate" intermediate step if all you want is that single count.
query = MenuPermission.objects.values('menu_id').annotate(menu_id_count=Count('menu_id'))
You can check your SQL query by print(query.query)
This solution doesn't work, all fields end up in the group by clause, leaving it here because it may still be useful to someone.
model_fields = queryset.model._meta.get_fields()
queryset = queryset.values('menu_id') \
.annotate(
count=Count('id'),
**{field.name: F(field.name) for field in model_fields}
)
What i'm doing is getting the list of fields of our model, and set up a dictionary with the field name as key and an F instance with the field name as a parameter.
When unpacked (the **) it gets interpreted as named arguments passed into the annotate function.
For example, if we had a "name" field on our model, this annotate call would end up being equal to this:
queryset = queryset.values('menu_id') \
.annotate(
count=Count('id'),
name=F("name")
)
you can use the following code:
MenuPermission.objects.values('menu_id').annotate(Count('id)).values('field1', 'field2', 'field3'...)
In Django, if I want to search something, I'd specify the fields in search_fields. What if I want to perform a search on one specific field? I want to implement something like a drop-down to select the fields to perform the search on.(e.g. all, last name, first name, phone number as the drop-down options)
I did not fully understand what you mean but.
suppose when user searched you sent search argument and search field name to your view. _search_term and _search_field
if _search_term:
result = model_cls.objects.all()
args = Q()
Q1 = Q(**{'{0}__icontains'.format(_search_field):_search_term})
args = args | Q1
result = result.filter(*(args,) )
See how I created Q object without knowing field name beforehand.
Result will be your filtered rows, I used icontains, you can change it, you can even let user change it.