How to save ProductAttributesValues in Django Oscar Commerce - django

I'm trying to save m2m relation in Product model on Django Oscar Commerce package, the model has an many to many relation through the ProductAttributeValues model.
Making Postan POST method query to url 127.0.0.1:8000/api/products/1/update/
serializers.py:
class ProductAttributeValueSerializer(OscarModelSerializer):
class Meta:
model = ProductAttributeValue
fields = '__all__'
class ProductSerializer(OscarModelSerializer):
attribute_valuess = ProductAttributeValueSerializer(many=True, read_only=False)
class Meta:
model = catalogue_models.Product
fields = '__all__'
The json content:
{
'title': 'Producto 4',
'is_public': True,
'description': 'descripción',
'attribute_values': [
{'value_text': 'contenido', 'attribute': 1, 'product': 1},
{'value_text': 'contenido', 'attribute': 2, 'product': 1}
]
}
The postman return this json:
{
"attribute_values": [
{
"non_field_errors": [
"The fields attribute, product must make a unique set."
]
},
{
"non_field_errors": [
"The fields attribute, product must make a unique set."
]
}
]
}
Anybody could help me please ?
Thanks in advance.

Related

Django can i only pass "id" in POST request, despite displaying nested fields?

in my post requests to OrderProduct model, i want to only have to pass order.id and product.id and it works... untill i add a serializer to retrieve product.name. It might be because i didnt understand documentation about nested requests, but im unable to advance further into my project :(
[
{
"id": 2,
"order": 1,
"product": 1,
}
]
^ here's how it looks without nested serializer, and thats the data that i wanna have to input
[
{
"id": 2,
"order": 1,
"product": {
"id": 1,
"name": "gloomhaven",
},
},
^ here's how it looks after i add an additional serializer. I pretty much want these nested fields to be read only, with me still being able to send simple post requests
here are my serializers
class OrderProductSerializer(serializers.ModelSerializer):
product = Product()
class Meta:
model = OrderProduct
fields = [
"id",
"order",
"product"]
class Product(serializers.ModelSerializer):
class Meta:
model = Product
fields = (
"id",
"name")
Is there any way for me to accomplish this? Thank you for trying to help!
Just overwrite to_representation method of the serializer
def to_representation(self, instance):
response = super().to_representation(instance)
response['other_field'] = instance.id# also response['other_field'] = otherSerializer(instance.model)
return response
This can solve your problem
I think you are missing many=True
class OrderProductSerializer(serializers.ModelSerializer):
product = Product(many=True)
class Meta:
model = OrderProduct
fields = [
"id",
"order",
"product"]

create a django serializer to create three model instance at once

{
"product_name": "CRVRVgfhghg",
"product_price": "0.01",
"product_location": "KIKUYU,KENYA",
"product_description": "VFVFVFVFVFVF",
"product_category_name": "livestock",
"product_farmer_name": "james",
"product_category_data": {
"product_category_name": "livestock",
"product_category_description": "livestock one"
},
"product_product_file_data": {
"product_file_name": "ok"
}
}
i have three tables: product_category,product and product_product_files...what i want is to populate all the three tables at once using one view and url pattern... is there a way i can do this using serializers??
I think what you are looking for is the following documentation DRF writable nested serializers.
Looking at this you'll see that they state the following:
'By default nested serializers are read-only. If you want to support write-operations to a nested serializer field you'll need to create create() and/or update() methods in order to explicitly specify how the child relationships should be saved:'
This is the example they use:
class TrackSerializer(serializers.ModelSerializer):
class Meta:
model = Track
fields = ['order', 'title', 'duration']
class AlbumSerializer(serializers.ModelSerializer):
tracks = TrackSerializer(many=True)
class Meta:
model = Album
fields = ['album_name', 'artist', 'tracks']
def create(self, validated_data):
tracks_data = validated_data.pop('tracks')
album = Album.objects.create(**validated_data)
for track_data in tracks_data:
Track.objects.create(album=album, **track_data)
return album
The data they put in then should look like this:
data = {
'album_name': 'The Grey Album',
'artist': 'Danger Mouse',
'tracks': [
{'order': 1, 'title': 'Public Service Announcement', 'duration': 245},
{'order': 2, 'title': 'What More Can I Say', 'duration': 264},
{'order': 3, 'title': 'Encore', 'duration': 159},
],
Looking at your code-snippet I would guess these models are related in a One-to-one relationship. In this case many=False which is also the default. You could do that for both models.
I think you would be able to get to the right code with this information, if not please let me know.

Django DRF: how to groupby on a foreign fields?

I have a model where users can upvote other users for specific topics. Something like:
#models.py
Class Topic(models.Model):
name = models.StringField()
def __str__(self):
return str(self.name)
Class UserUpvotes(models.Model):
"""Holds total upvotes by user and topic"""
user = models.ForeignKey(User)
topic= models.ForeignKey(Topic)
upvotes = models.PositiveIntegerField(default=0)
Using DRF, I have an API that returns the following: topic_id, topic_name, and upvotes, which is the total upvotes for a given topic.
One of the project requirements is for the API to use these field names specifically: topic_id, topic_name, and upvotes
#serializers.py
class TopicUpvotesSerializer(serializers.ModelSerializer):
topic_name = serializers.StringRelatedField(source="topic")
class Meta:
model = UserUpvotes
fields = ["topic_id", "topic_name", "upvotes"]
My trouble is aggregating these fields. I'm filtering the UserUpvotes by user or team and then aggregating by topic.
Desired output
This is the result I want to get. When I don't perform any aggregations (and there are views where this will be the case), it works.
[
{
"topic_id": 3,
"topic_name": "Korean Studies",
"upvotes": 14
},
{
"topic_id": 12,
"topic_name": "Inflation",
"upvotes": 3
},
]
At first, I tried creating a TopicSerializer, and then assigning it to the topic field in TopicUpvotesSerializer. But then, the resulting json would have a nested "topic" field and the aggragation would fail.
Attempt 1
#views.py
def get_queryset(self):
return (
UserUpvotes.objects.filter(user__team=team)
.values("topic")
.annotate(upvotes=models.Sum("upvotes"))
.order_by("-upvotes")
)
My problem is that the topic_id and topic_name fields are not showing. I get something like:
[
{
"topic_name": "3",
"upvotes": 14
},
{
"topic_name": "12",
"upvotes": 3
},
]
Attempt 2
Another queryset attempt:
# views.py
def get_queryset(self):
return (
UserUpvotes.objects.filter(user__team=team)
.values("topic__id", "topic__name")
.annotate(upvotes=models.Sum("upvotes"))
.order_by("-upvotes")
)
Which yields:
[
{
"upvotes": 14
},
{
"upvotes": 3
},
]
The aggregation worked on the queryset level, but the serializer failed to find the correct fields.
Attempt 3
This was the closest I got:
# views.py
def get_queryset(self):
return (
UserUpvotes.objects.filter(user__team=team)
.values("topic__id", "topic__name")
.annotate(upvotes=models.Sum("upvotes"))
.values("topic_id", "topic", "upvotes")
.order_by("-upvotes")[:n]
)
[
{
"topic_name": 3,
"topic_name": "3",
"upvotes": 14
},
{
"topic_name": 12,
"topic_name": "12",
"upvotes": 3
},
]
I have no idea why "topic_name" is simply transforming the "topic_id" into a string, instead of calling the string method.
Work with a serializer for the topic:
class TopicSerializer(serializers.ModelSerializer):
upvotes = serializers.IntegerField(read_only=True)
class Meta:
model = Topic
fields = ['id', 'name', 'upvotes']
then in the ModelViewSet, you annotate:
from django.db.models import Sum
from rest_framework.viewsets import ModelViewSet
class TopicViewSet(ModelViewSet):
serializer_class = TopicSerializer
queryset = Topic.objects.annotate(upvotes=Sum('userupvotes__upvotes'))
Desired output
This is the result I want to get. When I don't perform any aggregations (and there are views where this will be the case), it works.
[
{
"topic_name": 3,
"topic_name": "Korean Studies",
"upvotes": 14
},
{
"topic_name": 12,
"topic_name": "Inflation",
"upvotes": 3
},
]
The serialized FK will always give you the ID of the related model. I am not sure why you name it topic_name if that is equal to an ID. Now, if you really want to get the name field of the Topic model
in the topic_name = serializers.StringRelatedField(source="topic") you should give it a source="topic.name"
However, if you trying to get the ID of the relation you can still use ModelSerializer :
class TopicUpvotesSerializer(serializers.ModelSerializer):
class Meta:
model = UserUpvotes
fields = "__all__"
#willem-van-onsem's answer is the correct one for the problem as I had put it.
But... I had another use case (sorry! ◑﹏◐), for when the Users API used UserUpvotes serializer as a nested field. So I had to find another solution. This is was I eventually ended up with. I'm posting in case it helps anyone.
class UserUpvotesSerializer(serializers.ModelSerializer):
topic_name = serializers.SerializerMethodField()
def get_topic_name (self, obj):
try:
_topic_name = obj.topic.name
except TypeError:
_topic_name = obj.get("skill__name", None)
return _topic_name
class Meta:
model = UserUpvotes
fields = ["topic_id", "topic_name", "upvotes"]
I still have no idea why the SerializerMethodField works and the StringRelatedField field doesn't. It feels like a bug?
Anyways, the rub here is that, after the values().annotate() aggregation, obj is no longer a QuerySet, but a dict. So accessing namedirectly will give you a 'UserUpvotes' object is not subscriptable error.
I don’t know if there are any other edge cases I should be aware of (this is when I REALLY miss type hints in Django), but it works so far

How do I create new models not affecting the nested serializer

I already have a general idea of how it should be done. The only issue that I face now is how to actually send the data. I don't want to create new Projects I just want to add them to the notifications. How do I pass the data, the actual JSON?
class NotificationsScheduleSerializer(ModelSerializer):
projects = ProjectSerializer(many=True) # Thats the Many2Many Field
user = HiddenField(default=CurrentUserDefault())
class Meta:
model = NotificationsSchedule
fields = [
"pk",
"projects",
"period",
"week_day",
"created_at",
"time",
"report_type",
"user",
]
def create(self, validated_data):
breakpoint() # I don't ever get "projects" in validated_data just Empty OrderedDict
projects_data = validated_data.pop("projects", [])
notification = NotificationsSchedule.objects.create(**validated_data)
return notification
class ProjectSerializer(ModelSerializer):
class Meta:
model = Project
fields = ["pk", "name"]
I want to be able to pass something like this.
{
"projects": [290, 289],
"period": "daily",
"week_day": 2,
"time": "16:02:00",
"report_type": "word_report"
}
But it expects dict instead.
"non_field_errors": [
"Invalid data. Expected a dictionary, but got int."
]
You have to set read_only,
projects = ProjectSerializer(many=True, read_only=True)
And when creating Notifications ,
notification = NotificationsSchedule.objects.create(**validated_data)
notification.projects.add(*self.initial_data.get("projects"))
notification.save()

Prefetching indirectly related items using Django ORM

I'm trying to optimize the queries for my moderation system, build with Django and DRF.
I'm currently stuck with the duplicates retrieval: currently, I have something like
class AdminSerializer(ModelSerializer):
duplicates = SerializerMethodField()
def get_duplicates(self, item):
if item.allowed:
qs = []
else:
qs = Item.objects.filter(
allowed=True,
related_stuff__language=item.related_stuff.language
).annotate(
similarity=TrigramSimilarity('name', item.name)
).filter(similarity__gt=0.2).order_by('-similarity')[:10]
return AdminMinimalSerializer(qs, many=True).data
which works fine, but does at least one additional query for each item to display. In addition, if there are duplicates, I'll do additional queries to fill the AdminMinimalSerializer, which contains fields and related objects of the duplicated item. I can probably reduce the overhead by using a prefetch_related inside the serializer, but that doesn't prevent me from making several queries per item (assuming I have only one related item to prefetch in AdminMinimalSerializer, I'd still have ~2N + 1 queries: 1 for the items, N for the duplicates, N for the related items of the duplicates).
I've already looked at Subquery, but I can't retrieve an object, only an id, and this is not enough in my case. I tried to use it in both a Prefetch object and a .annotate.
I also tried something like Item.filter(allowed=False).prefetch(Prefetch("related_stuff__language__related_stuff_set__items", queryset=Items.filter..., to_attr="duplicates")), but the duplicates property is added to "related_stuff__language__related_stuff_set", so I can't really use it...
I'll welcome any idea ;)
Edit: the real code lives here. Toy example below:
# models.py
from django.db.models import Model, CharField, ForeignKey, CASCADE, BooleanField
class Book(Model):
title = CharField(max_length=250)
serie = ForeignKey(Serie, on_delete=CASCADE, related_name="books")
allowed = BooleanField(default=False)
class Serie(Model):
title = CharField(max_length=250)
language = ForeignKey(Language, on_delete=CASCADE, related_name="series")
class Language(Model):
name = CharField(max_length=100)
# serializers.py
from django.contrib.postgres.search import TrigramSimilarity
from rest_framework.serializers import ModelSerializer, SerializerMethodField
from .models import Book, Language, Serie
class BookAdminSerializer(ModelSerializer):
class Meta:
model = Book
fields = ("id", "title", "serie", "duplicates", )
serie = SerieAdminAuxSerializer()
duplicates = SerializerMethodField()
def get_duplicates(self, book):
"""Retrieve duplicates for book"""
if book.allowed:
qs = []
else:
qs = (
Book.objects.filter(
allowed=True, serie__language=book.serie.language)
.annotate(similarity=TrigramSimilarity("title", book.title))
.filter(similarity__gt=0.2)
.order_by("-similarity")[:10]
)
return BookAdminMinimalSerializer(qs, many=True).data
class BookAdminMinimalSerializer(ModelSerializer):
class Meta:
model = Book
fields = ("id", "title", "serie")
serie = SerieAdminAuxSerializer()
class SerieAdminAuxSerializer(ModelSerializer):
class Meta:
model = Serie
fields = ("id", "language", "title")
language = LanguageSerializer()
class LanguageSerializer(ModelSerializer):
class Meta:
model = Language
fields = ('id', 'name')
I'm trying to find a way to prefetch related objects and duplicates so that I can get rid of the get_duplicates method in BookSerializer, with the N+1 queries it causes, and have only a duplicates field in my BookSerializer.
Regarding data, here would be an expected output:
[
{
"id": 2,
"title": "test2",
"serie": {
"id": 2,
"language": {
"id": 1,
"name": "English"
},
"title": "series title"
},
"duplicates": [
{
"id": 1,
"title": "test",
"serie": {
"id": 1,
"language": {
"id": 1,
"name": "English"
},
"title": "first series title"
}
}
]
},
{
"id": 3,
"title": "random",
"serie": {
"id": 3,
"language": {
"id": 1,
"name": "English"
},
"title": "random series title"
},
"duplicates": []
}
]